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docs.sheetjs.com/docz/static/tfjs/tf.min.js
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/**
* @license
* Copyright 2023 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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p(e,[{key:"ready",value:(a=c(o().mark((function e(){var t,n,r;return o().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)}))),function(){return a.apply(this,arguments)})},{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '".concat(this.backendName,"' has not yet been initialized. Make ")+"sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '".concat(t,"' has not yet been ")+"initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{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?(z3("".concat(e," backend was already registered. ")+"Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}},{key:"setBackend",value:(r=c(o().mark((function e(t){var n,r;return o().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 j4(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"setupRegisteredKernels",value:function(){var e=this;U3(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;U3(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 T$||"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,z3("Initialization of backend ".concat(e," failed")),z3(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return z3("Initialization of backend ".concat(e," failed")),z3(t.stack||t.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),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),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(e){throw t(),e}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=E5.runKernel(W1,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return E5.runKernel(X0,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=W3(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.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){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=k5(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(k5(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var f=W3(l,this.backendName);F$(null!=f,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return d(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=k5(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n}},{key:"getTensorsForGradient",value:function(e,t,n){var r=V3(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(F$(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{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&&$$(e[0])&&(a=e.map((function(e){return B4(e)})));var i=r.write(a,t,n),o=new n5(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=Q$(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new n5(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{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 c5(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:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*Z$(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof c5||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*Z$(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{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:(n=c(o().mark((function e(t){var n,r,a,i,s;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=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,T(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-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return s=i.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),a.e(e.t0);case 29:return e.prev=29,a.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]])}))),function(e){return n.apply(this,arguments)})},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=V3(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=l0(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(s)}},{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=y5(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 r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(F$(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 i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));F$(i instanceof n5,(function(){return"The result y returned by f() must be a tensor."}));var o=q4(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e={};e[i.id]=null==n?N5(i.shape):n,K4(e,o,(function(e){return r.tidy(e)}),C5);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=O(e.saved);try{for(n.s();!(t=n.n()).done;){t.value.dispose()}}catch(e){n.e(e)}finally{n.f()}})),r.state.activeTape=null),{value:i,grads:a}}))}},{key:"customGrad",value:function(e){var t=this;return F$(r0(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;F$(r.every((function(e){return e instanceof n5})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return F$((i=e.apply(void 0,[].concat(r,[n]))).value instanceof n5,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),F$(r0(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];F$(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),F$(a.every((function(e){return e instanceof n5})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}}},{key:"readSync",value:function(e){return this.state.tensorInfo.get(e).backend.readSync(e)}},{key:"read",value:function(e){return this.state.tensorInfo.get(e).backend.read(e)}},{key:"readToGPU",value:function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}},{key:"time",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=z4(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=z4()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"track",value:function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}},{key:"registeredVariables",get:function(){return this.state.registeredVariables}},{key:"reset",value:function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new w5,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete 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o,s,u=L5(e,"x","batchNorm"),c=L5(t,"mean","batchNorm"),l=L5(n,"variance","batchNorm");return null!=a&&(o=L5(a,"scale","batchNorm")),null!=r&&(s=L5(r,"offset","batchNorm")),F$(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+"".concat(u.rank,".")})),F$(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but "+"got rank ".concat(c.rank,".")})),F$(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=o&&F$(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+"but got rank ".concat(o.rank,".")})),null!=s&&F$(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 "+"but got rank ".concat(s.rank,".")})),J8(u,c,l,s,o,i)}});var e7=B5({bincount_:function(e,t,n){var r=L5(e,"x","bincount"),a=L5(t,"weights","bincount");F$("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),F$(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),F$(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or"+"0-length, but got input shape: ".concat(r.shape,", weights shape: ")+"".concat(a.shape,".")}));var i={x:r,weights:a},o={size:n};return E5.runKernel(j0,i,o)}});var t7=B5({bitwiseAnd_:function(e,t){var n=L5(e,"x","bitwiseAnd"),r=L5(t,"y","bitwiseAnd");if(!P$(n.shape,r.shape))throw new Error("BitwiseAnd: Tensors must have the same shape. x: ".concat(n.shape,", y: ").concat(r.shape));if("int32"!==n.dtype||"int32"!==r.dtype)throw new Error("BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ".concat(n.dtype," and type of y: ").concat(r.dtype));var a={a:n,b:r};return E5.runKernel(H0,a)}});var n7=B5({broadcastArgs_:function(e,t){var n=L5(e,"s0","broadcastArgs","int32"),r=L5(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). 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t={x:L5(e,"x","cosh","float32")};return E5.runKernel(s1,t)}});var x7=B5({cumprod_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","cumprod"),i={x:a},o={axis:t,exclusive:n,reverse:r};return E5.runKernel(u1,i,o)}});var k7=B5({cumsum_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","cumsum"),i={x:a},o={axis:t,exclusive:n,reverse:r};return E5.runKernel(c1,i,o)}});var w7=B5({denseBincount_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"x","denseBincount"),i=L5(t,"weights","denseBincount");F$("int32"===a.dtype,(function(){return"Error in denseBincount: input "+"dtype must be int32, but got ".concat(a.dtype)})),F$(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got "+"rank ".concat(a.rank,".")})),F$(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),F$(i.size===a.size||0===i.size,(function(){return"Error in denseBincount: weights must have the same shape as x or "+"0-length, but got x shape: ".concat(a.shape,", weights shape: ")+"".concat(i.shape,".")}));var o={x:a,weights:i},s={size:n,binaryOutput:r};return E5.runKernel(h1,o,s)}});var I7=B5({depthToSpace_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"NHWC",r=L5(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];F$(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: ".concat(t)})),F$(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n ".concat(a," and ").concat(t," for depthToSpace with input shape\n 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filter must be rank 4, but got rank "+"".concat(u.rank,".")}));var h="NHWC"===a?c.shape[3]:c.shape[1];F$(h===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels "+"(".concat(h,") must match the inChannels dimension in ")+"filter ".concat(u.shape[2],".")})),B8("depthwiseConv2d",r,o);var p={x:c,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=E5.runKernel(f1,p,f);return l?W8(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var S7=B5({diag_:function(e){var t={x:L5(e,"x","diag")};return E5.runKernel(m1,t)}});var T7=B5({dilation2d_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:[1,1],i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=L5(e,"x","dilation2d"),s=L5(t,"filter","dilation2d");F$(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+"".concat(o.rank,".")})),F$(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but 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E5.runKernel(F2,{},a)}var ete=B5({real_:function(e){var t={input:L5(e,"input","real")};return E5.runKernel(D2,t)}});var tte=B5({reciprocal_:function(e){var t={x:L5(e,"x","reciprocal")};return E5.runKernel(M2,t)}});var nte=B5({relu_:function(e){var t={x:L5(e,"x","relu")};return E5.runKernel(L2,t)}});var rte=B5({relu6_:function(e){var t={x:L5(e,"x","relu6")};return E5.runKernel(U2,t)}});var ate=B5({reverse_:function(e,t){var n={x:L5(e,"x","reverse")},r={dims:t};return E5.runKernel(G2,n,r)}});var ite=B5({reverse1d_:function(e){var t=L5(e,"x","reverse");return F$(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),ate(t,0)}});var ote=B5({reverse2d_:function(e,t){var n=L5(e,"x","reverse");return F$(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank ".concat(n.rank,".")})),ate(n,t)}});var ste=B5({reverse3d_:function(e,t){var n=L5(e,"x","reverse");return F$(3===n.rank,(function(){return"Error in reverse3D: x must 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supported");F$(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),F$(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter "+" must be 1, but got ".concat(c.shape[0],".")})),F$(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise "+"filter must be 1, but got ".concat(c.shape[1],".")}));var p=u.shape[2],f=u.shape[3];F$(c.shape[2]===p*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter "+"must be ".concat(p*f,", ")+"but got ".concat(c.shape[2],".")}));var d=N7(l,u,r,a,o,i),v=1,m=h7(d,c,v,"valid",o);return h?W8(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function fte(){return fte=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=L5(t,"x","setdiff1d"),a=L5(n,"y","setdiff1d"),F$(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x (".concat(r.dtype,") and y (").concat(a.dtype,").")})),F$(1===r.rank,(function(){return"x should be 1D tensor, but got x (".concat(r.shape,").")})),F$(1===a.rank,(function(){return"y should be 1D tensor, but got y (".concat(a.shape,").")})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(s=e.sent,u=new Set(s),c=0,l=0;l<i.length;l++)u.has(i[l])||c++;for(h=new $4([c],r.dtype),p=new $4([c],"int32"),f=0,d=0;f<i.length;f++)u.has(i[f])||(h.values[d]=i[f],p.values[d]=f,d++);return e.abrupt("return",[h.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),fte.apply(this,arguments)}var dte=function(e,t){return fte.apply(this,arguments)};var vte=B5({sign_:function(e){var t={x:L5(e,"x","sign")};return E5.runKernel(e3,t)}});var mte=B5({sin_:function(e){var t={x:L5(e,"x","sin","float32")};return E5.runKernel(Q2,t)}});var gte=B5({sinh_:function(e){var t={x:L5(e,"x","sinh")};return E5.runKernel($2,t)}});var yte=B5({slice1d_:function(e,t,n){var r=L5(e,"x","slice1d");return F$(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,[t],[n])}});var bte=B5({slice2d_:function(e,t,n){var r=L5(e,"x","slice2d");return F$(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var xte=B5({slice3d_:function(e,t,n){var r=L5(e,"x","slice3d");return F$(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var kte=B5({slice4d_:function(e,t,n){var r=L5(e,"x","slice4d");return F$(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-".concat(r.rank," tensor")})),q8(r,t,n)}});var wte=B5({softmax_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1,n=L5(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. "+"Logits was rank ".concat(n.rank," and dim was ").concat(t));var r={logits:n},a={dim:t};return E5.runKernel(s3,r,a)}});var Ite=B5({fft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(R1,t)}});var Nte=B5({ifft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(V1,t)}});var Ste=B5({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=W8(e,[r,n]);t=Nte(a)}else{var i=[r,2*(n-1)],o=W8(ete(e),[r,n]),s=W8(f9(e),[r,n]),u=ate(q8(o,[0,1],[r,n-2]),1),c=c8(ate(q8(s,[0,1],[r,n-2]),1),Z7(-1)),l=G8([o,u],1),h=G8([s,c],1),p=W8(W5(l,h),[i[0],i[1]]);t=Nte(p)}if(t=ete(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=W8(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var Tte=B5({split_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=L5(e,"x","split"),a={x:r},i={numOrSizeSplits:t,axis:n};return E5.runKernel(o3,a,i)}});var Ete=B5({rfft_:function(e,t){F$("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got ".concat(e.dtype)}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=q8(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=G8([e,H9(s)],e.shape.length-1),r=t}else n=e;var u=F7(n),c=W8(W5(n,u),[a,r]),l=Ite(c),h=Math.floor(r/2)+1,p=ete(l),f=f9(l),d=Tte(p,[h,r-h],p.shape.length-1),v=Tte(f,[h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,W8(W5(d[0],v[0]),m)}});var Cte=B5({squaredDifference_:function(e,t){var n=L5(e,"a","squaredDifference"),r=L5(t,"b","squaredDifference"),a=S(v5(n,r),2);n=a[0],r=a[1],A7(n.shape,r.shape);var i={a:n,b:r};return E5.runKernel(f3,i,{})}});var Ate=B5({squeeze_:function(e,t){var n=L5(e,"x","squeeze","string_or_numeric");return W8(n,H$(n.shape,t).newShape)}});var Rte=B5({stack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=z5(e,"tensors","stack","string_or_numeric");F$(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&F$(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return E5.runKernel(S2,r,a)}});var _te=B5({step_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","step"),r={x:n},a={alpha:t};return E5.runKernel(_3,r,a)}});var Ote=B5({stridedSlice_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:0,u=arguments.length>8&&void 0!==arguments[8]?arguments[8]:0,c=L5(e,"x","stridedSlice","string_or_numeric"),l={x:c},h={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return E5.runKernel(m3,l,h)}});var Fte=B5({tan_:function(e){var t={x:L5(e,"x","tan","float32")};return E5.runKernel(k3,t)}});function Dte(e,t){M$(e);var n=F5(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return V5(e,null,n,t)}function Mte(e,t,n){if(M$(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=F5(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return V5(e,t,r,n)}function Lte(e,t,n){if(M$(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=F5(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function zte(e,t,n){if(M$(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=F5(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Pte(e,t,n){if(M$(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=F5(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return V5(e,t,r,n)}function Bte(e,t,n){if(M$(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=F5(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return V5(e,t=t||r,r,n)}function Wte(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(i+" update.rank < ".concat(a,". "));if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != ".concat(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape[".concat(o,"] (").concat(n.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}function Vte(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}Wte(n,t,e)}function Ute(e,t,n){for(var r=t.shape.length,a=r>1?t.shape[r-1]:1,i=n.length,o=1,s=a;s<i;++s)o*=n[s];var u=a<1?1:a;return{sliceRank:a,numUpdates:L$(t.shape)/u,sliceSize:o,strides:[].concat(T(i0(n.slice(0,a))),[1]),outputSize:L$(n)}}var Gte={__proto__:null,calculateShapes:Ute,validateInput:Vte,validateUpdateShape:Wte};var jte=B5({tensorScatterUpdate_:function(e,t,n){var r=L5(e,"tensor","tensorScatterupdate"),a=L5(t,"indices","tensorScatterupdate","int32"),i=L5(n,"updates","tensorScatterupdate");if(Vte(i,a,r.shape),r.dtype!==i.dtype)throw new Error("tensor and updates must have the same dtype, instead they are ".concat(r.dtype," and ").concat(i.dtype,"."));var o={tensor:r,indices:a,updates:i};return E5.runKernel(K2,o,{})}});var Hte=B5({topk_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var i={x:r},o={k:t,sorted:n},s=E5.runKernel(N3,i,o),u=S(s,2),c=u[0],l=u[1];return{values:c,indices:l}}});var qte=B5({truncatedNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(p0(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new Hee(t,n,r,!0,a),o=K6(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var Kte=B5({unique_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unique","string_or_numeric");F$(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=E5.runKernel(E3,r,a),o=S(i,2),s=o[0],u=o[1];return{values:s,indices:u}}});var Xte=B5({unsortedSegmentSum_:function(e,t,n){var r=L5(e,"x","unsortedSegmentSum"),a=L5(t,"segmentIds","unsortedSegmentSum","int32");F$(B$(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return E5.runKernel(A3,i,o)}});var Yte=B5({unstack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unstack","string_or_numeric");F$(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = ".concat(t," is not in [-").concat(n.shape.length,", ").concat(n.shape.length,")")}));var r={value:n},a={axis:t};return E5.runKernel(C3,r,a)}});function Jte(e,t){return P9(e,t,"right")}function Zte(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;return E5.makeVariable(e,t,n,r)}function Qte(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=K6(e,"int32"),i=K6([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function $te(){return($te=c(o().mark((function e(t){var n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=L5(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=Qte(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var ene=function(e){return $te.apply(this,arguments)};function tne(){return tne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=L5(t,"tensor","boolMask"),i=L5(n,"mask","boolMask","bool"),s=null==r?0:r,u=i.rank,c=a.shape,F$(u>0,(function(){return"mask cannot be scalar"})),D$(c.slice(s,s+u),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,h=s;h<s+u;h++)l*=c[h];return p=c.slice(0,s).concat([l],c.slice(s+u)),f=W8(a,p),d=W8(i,[-1]),e.next=14,ene(d);case 14:return v=e.sent,m=Ate(v,[1]),g=l9(f,m,s),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),f.dispose(),d.dispose(),v.dispose(),e.abrupt("return",g);case 24:case"end":return e.stop()}}),e)}))),tne.apply(this,arguments)}var nne=function(e,t,n){return tne.apply(this,arguments)};var rne=B5({transpose_:function(e,t,n){var r=L5(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),F$(r.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(r.rank," ")+"must match length of perm 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r=L5(e,"indices","scatterND","int32"),a=L5(t,"updates","scatterND");Vte(a,r,n);var i={indices:r,updates:a},o={shape:n};return E5.runKernel(q2,i,o)}});function one(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+" but the dtype was ".concat(e.dtype,"."));if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+" but got shape ".concat(e.shape,"."));var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:,"+" ".concat(n.length,", should be: ").concat(i,"."));var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}var sne=B5({sparseToDense_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0;p0(n);var a=L5(e,"sparseIndices","sparseToDense","int32"),i=L5(t,"sparseValues","sparseToDense","string_or_numeric"),o=L5(r,"defaultValue","sparseToDense",i.dtype);one(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return E5.runKernel(p3,s,u)}});var une=B5({gatherND_:function(e,t){var n=L5(t,"indices","gatherND","int32"),r={params:L5(e,"x","gatherND","string_or_numeric"),indices:n};return E5.runKernel(z1,r)}});var cne=B5({dropout_:function(e,t,n,r){var a=L5(e,"x","dropout");if(F$("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),F$(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof n5?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(P$(e.shape,t))return t;if(e.shape.length===t.length){for(var 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grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,s9(t,a)}});var One=B5({rotateWithOffset_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=L5(e,"image","rotateWithOffset","float32");F$(4===a.rank,(function(){return"Error in rotateWithOffset: image must be rank 4,"+"but got rank ".concat(a.rank,".")}));var i={image:a},o={radians:t,fillValue:n,center:r},s=E5.runKernel(F3,i,o);return s}});function Fne(e,t,n,r,a,i){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==i&&(i=0);var o=e.shape[0];return n=Math.min(n,o),F$(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '".concat(r,"'")})),F$(2===e.rank,(function(){return"boxes must be a 2D tensor, but was of rank '".concat(e.rank,"'")})),F$(4===e.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension 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Pne(e,t,n,r,a,i){return Wne(e,t,n,r,a,0,!1,i,!0)}function Bne(e,t,n,r,a,i){return Wne(e,t,n,r,a,i,!0)}function Wne(e,t,n,r,a,i){for(var o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7],u=arguments.length>8&&void 0!==arguments[8]&&arguments[8],c=[],l=0;l<t.length;l++)t[l]>a&&c.push({score:t[l],boxIndex:l,suppressBeginIndex:0});c.sort(Gne);for(var h=i>0?-.5/i:0,p=[],f=[];p.length<n&&c.length>0;){var d=c.pop(),v=d.score,m=d.boxIndex,g=d.suppressBeginIndex;if(v<a)break;for(var y=!1,b=p.length-1;b>=g;--b){var x=Vne(e,m,p[b]);if(x>=r){y=!0;break}if(d.score=d.score*Une(r,h,x),d.score<=a)break}d.suppressBeginIndex=p.length,y||(d.score===v?(p.push(m),f.push(d.score)):d.score>a&&Mne(c,d,Gne))}var k=p.length,w=n-k;s&&w>0&&(p.push.apply(p,T(new Array(w).fill(0))),f.push.apply(f,T(new Array(w).fill(0))));var I={selectedIndices:p};return o&&(I.selectedScores=f),u&&(I.validOutputs=k),I}function Vne(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),c=Math.min(a[0],a[2]),l=Math.min(a[1],a[3]),h=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(h-c)*(p-l);if(f<=0||d<=0)return 0;var v=Math.max(i,c),m=Math.max(o,l),g=Math.min(s,h),y=Math.min(u,p),b=Math.max(g-v,0)*Math.max(y-m,0);return b/(f+d-b)}function Une(e,t,n){var r=Math.exp(t*n*n);return n<=e?r:0}function Gne(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}function jne(){return jne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=v.length>3&&void 0!==v[3]?v[3]:.5,i=v.length>4&&void 0!==v[4]?v[4]:Number.NEGATIVE_INFINITY,s=L5(t,"boxes","nonMaxSuppressionAsync"),u=L5(n,"scores","nonMaxSuppressionAsync"),c=Fne(s,u,r,a,i),r=c.maxOutputSize,a=c.iouThreshold,i=c.scoreThreshold,e.next=10,Promise.all([s.data(),u.data()]);case 10:return l=e.sent,h=l[0],p=l[1],f=zne(h,p,r,a,i),d=f.selectedIndices,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",Dte(d,"int32"));case 17:case"end":return e.stop()}}),e)}))),jne.apply(this,arguments)}var Hne=function(e,t,n){return jne.apply(this,arguments)};var qne=B5({nonMaxSuppressionWithScore_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:Number.NEGATIVE_INFINITY,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=L5(e,"boxes","nonMaxSuppression"),s=L5(t,"scores","nonMaxSuppression"),u=Fne(o,s,n,r,a,i),c={boxes:o,scores:s},l={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},h=E5.runKernel(w2,c,l);return{selectedIndices:h[0],selectedScores:h[1]}}});function Kne(){return Kne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g=arguments;return 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s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=E5.runKernel(W2,s,u);return o?W8(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var $ne=B5({resizeNearestNeighbor_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=L5(e,"images","resizeNearestNeighbor");F$(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),F$(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+"".concat(t,".")})),F$("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),F$(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=W8(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(t,0);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=E5.runKernel(P2,s,u);return o?W8(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});function ere(e,t){for(var n,r,a,i,o,s,u=Dte([-1]),c=Dte([0]),l=Dte([0]),h=0;h<e.size-1;h++){n=q8(e,0,h+1),r=q8(e,h+1),o=u8(e9(n),t),s=u8(e9(r),t);var p=e9(c8(n,$ee(0,n.size)));a=u8(p,e9(n));var f=i7(r.shape,n.size),d=o8($ee(0,r.size),f),v=c8(r,d);i=u8(e9(v),e9(r));var m=R9(a,i),g=R9(a,i),y=c8(o,s);l=c8(c8(y,m),g);var b=h9(l,c);c=O7(b,l,c),u=O7(b,Dte([h]),u)}return u}var tre=B5({threshold_:function(e){var t,n,r,a,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"binary",o=arguments.length>2&&void 0!==arguments[2]&&arguments[2],s=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,u=L5(e,"image","threshold"),c=.2989,l=.587,h=.114,p=u.shape[0]*u.shape[1],f=c8(Dte([s]),255);if(F$(3===u.rank,(function(){return"Error in threshold: image must be rank 3,"+"but got rank 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0,o=L5(e,"image","transform","float32"),s=L5(t,"transforms","transform","float32");F$(4===o.rank,(function(){return"Error in transform: image must be rank 4,"+"but got rank ".concat(o.rank,".")})),F$(2===s.rank&&(s.shape[0]===o.shape[0]||1===s.shape[0])&&8===s.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),F$(null==i||2===i.length,(function(){return"Error in transform: outputShape must be [height, width] or null, "+"but got ".concat(i,".")}));var u={image:o,transforms:s},c={interpolation:n,fillMode:r,fillValue:a,outputShape:i};return E5.runKernel(S3,u,c)}});var rre=B5({bandPart_:function(e,t,n){var r=L5(e,"a","bandPart");F$(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got ".concat(r.rank,".")}));var a,i,o=r.shape,s=S(r.shape.slice(-2),2),u=s[0],c=s[1];"number"==typeof t?(F$(t%1==0,(function(){return"bandPart(): numLower must be an integer, got ".concat(t,".")})),F$(t<=u,(function(){return"bandPart(): numLower 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n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=Yte(W8(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],i=[];r.forEach((function(e){var n=S(ire(e,t),2),r=n[0],o=n[1];a.push(r),i.push(o)}));var o=W8(Rte(a,0),e.shape),s=W8(Rte(i,0),e.shape);return[o,s]}});e.Reduction=void 0,(ore=e.Reduction||(e.Reduction={}))[ore.NONE=0]="NONE",ore[ore.MEAN=1]="MEAN",ore[ore.SUM=2]="SUM",ore[ore.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";var ure=B5({computeWeightedLoss_:function(t,n){var r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,a=L5(t,"losses","computeWeightedLoss"),i=null;null!=n&&(i=L5(n,"weights","computeWeightedLoss"));var o=null==i?a:c8(a,i);if(r===e.Reduction.NONE)return o;if(r===e.Reduction.SUM)return e9(o);if(r===e.Reduction.MEAN){if(null==i)return j9(o);var s=a.size/i.size,u=u8(e9(o),e9(i));return s>1?u8(u,Z7(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return u8(e9(o),Z7(a.size));var c=c8(i,q9(a.shape)),l=X6(e9(eee(c,Z7(0))),"float32");return u8(e9(o),l)}throw Error("Unknown reduction: ".concat(r))}});var cre=B5({absoluteDifference_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","absoluteDifference"),o=L5(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=L5(r,"weights","absoluteDifference")),D$(i.shape,o.shape,"Error in absoluteDifference: ");var u=l8(R9(i,o));return ure(u,s,a)}});var lre=B5({cosineDistance_:function(t,n,r,a){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","cosineDistance"),s=L5(n,"predictions","cosineDistance"),u=null;null!=a&&(u=L5(a,"weights","cosineDistance")),D$(o.shape,s.shape,"Error in cosineDistance: ");var c=Z7(1),l=R9(c,e9(c8(o,s),r,!0));return ure(l,u,i)}});var hre=B5({hingeLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","hingeLoss"),o=L5(n,"predictions","hingeLoss"),s=null;null!=r&&(s=L5(r,"weights","hingeLoss")),D$(i.shape,o.shape,"Error in hingeLoss: ");var u=Z7(1);i=R9(c8(Z7(2),i),u);var c=nte(R9(u,c8(i,o)));return ure(c,s,a)}});var pre=B5({huberLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","huberLoss"),s=L5(n,"predictions","huberLoss"),u=null;null!=r&&(u=L5(r,"weights","huberLoss")),D$(o.shape,s.shape,"Error in huberLoss: ");var c=Z7(a),l=l8(R9(s,o)),h=X9(l,c),p=R9(l,h),f=o8(c8(Z7(.5),$7(h)),c8(c,p));return ure(f,u,i)}});var fre=B5({logLoss_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1e-7,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","logLoss"),s=L5(n,"predictions","logLoss"),u=null;null!=r&&(u=L5(r,"weights","logLoss")),D$(o.shape,s.shape,"Error in logLoss: ");var c=Z7(1),l=Z7(a),h=E9(c8(o,w9(o8(s,l)))),p=c8(R9(c,o),w9(o8(R9(c,s),l))),f=R9(h,p);return ure(f,u,i)}});var dre=B5({meanSquaredError_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","meanSquaredError"),o=L5(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=L5(r,"weights","meanSquaredError")),D$(i.shape,o.shape,"Error in meanSquaredError: ");var u=Cte(i,o);return ure(u,s,a)}});function vre(e,t){var n=L5(e,"labels","sigmoidCrossEntropyWithLogits"),r=L5(t,"logits","sigmoidCrossEntropyWithLogits");D$(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=nte(r),i=c8(r,n),o=I9(a9(E9(l8(r))));return o8(R9(a,i),o)}var mre=B5({sigmoidCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"multiClassLabels","sigmoidCrossEntropy"),s=L5(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","sigmoidCrossEntropy")),D$(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var c=Z7(a),l=Z7(1),h=Z7(.5);o=o8(c8(o,R9(l,c)),c8(h,c))}var p=vre(o,s);return ure(p,u,i)}});function gre(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. 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a=L5(e,"indices","sparseFillEmptyRows","int32"),i=L5(t,"values","sparseFillEmptyRows"),o=L5(n,"denseShape","sparseFillEmptyRows","int32"),s=L5(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n ".concat(a.shape));if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape ".concat(i.shape));if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(o.shape));if(0!==s.rank)throw new Error("Default value should be a scalar but received shape ".concat(s.shape));var u={indices:a,values:i,denseShape:o,defaultValue:s},c=E5.runKernel(u3,u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var xre=B5({sparseReshape_:function(e,t,n){var r=L5(e,"inputIndices","sparseReshape","int32"),a=L5(t,"inputShape","sparseReshape","int32"),i=L5(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n ".concat(r.shape));if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape ".concat(a.shape));if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape ".concat(i.shape));var o={inputIndices:r,inputShape:a,newShape:i},s=E5.runKernel(c3,o);return{outputIndices:s[0],outputShape:s[1]}}});var kre=B5({sparseSegmentMean_:function(e,t,n){var r=L5(e,"data","sparseSegmentMean"),a=L5(t,"indices","sparseSegmentMean","int32"),i=L5(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(l3,o)}});var wre=B5({sparseSegmentSum_:function(e,t,n){var r=L5(e,"data","sparseSegmentSum"),a=L5(t,"indices","sparseSegmentSum","int32"),i=L5(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(h3,o)}});var Ire=B5({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=L5(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: ".concat(u.shape));var c=L5(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var l={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},h={data:u,dataSplits:c},p=E5.runKernel(g3,h,l);return{nGrams:p[0],nGramsSplits:p[1]}}});var Nre=B5({stringSplit_:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"input","stringSplit","string"),a=L5(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape ".concat(r.shape));if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape ".concat(a.shape));var i={skipEmpty:n},o={input:r,delimiter:a},s=E5.runKernel(y3,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var Sre=B5({stringToHashBucketFast_:function(e,t){var n=L5(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return E5.runKernel(b3,a,r)}});var Tre=B5({staticRegexReplace_:function(e,t,n){var r=!(arguments.length>3&&void 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E5.runKernel(v3,{x:a},i)}}),Ere={fft:Ite,ifft:Nte,rfft:Ete,irfft:Ste},Cre={hammingWindow:Sne,hannWindow:Tne,frame:Ene,stft:Cne},Are={flipLeftRight:Rne,grayscaleToRGB:_ne,resizeNearestNeighbor:$ne,resizeBilinear:Qne,rotateWithOffset:One,cropAndResize:Ane,nonMaxSuppression:Dne,nonMaxSuppressionAsync:Hne,nonMaxSuppressionWithScore:qne,nonMaxSuppressionWithScoreAsync:Xne,nonMaxSuppressionPadded:Yne,nonMaxSuppressionPaddedAsync:Zne,threshold:tre,transform:nre},Rre={bandPart:rre,gramSchmidt:are,qr:sre},_re={absoluteDifference:cre,computeWeightedLoss:ure,cosineDistance:lre,hingeLoss:hre,huberLoss:pre,logLoss:fre,meanSquaredError:dre,sigmoidCrossEntropy:mre,softmaxCrossEntropy:yre},Ore={sparseFillEmptyRows:bre,sparseReshape:xre,sparseSegmentMean:kre,sparseSegmentSum:wre},Fre={stringNGrams:Ire,stringSplit:Nre,stringToHashBucketFast:Sre,staticRegexReplace:Tre},Dre=function(){function e(){l(this,e)}return p(e,[{key:"getClassName",value:function(){return 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t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2?arguments[2]:void 0,r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return t8(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return N9(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&t8(this.iterations_)}},{key:"saveIterations",value:(a=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:Z7(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)}))),function(){return 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t.apply(this,arguments)})}]),s}(Dre);Object.defineProperty(Pre,Symbol.hasInstance,{value:function(e){return null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients}});var Bre=function(e){d(a,e);var t,n,r=w(a);function a(e,t){var n,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;return l(this,a),(n=r.call(this)).learningRate=e,n.rho=t,n.epsilon=i,n.accumulatedGrads=[],n.accumulatedUpdates=[],null==i&&(n.epsilon=E5.backend.epsilon()),n}return p(a,[{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=E5.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:"".concat(n,"/accum_grad"),variable:e8((function(){return F7(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:"".concat(n,"/accum_var"),variable:e8((function(){return F7(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;e8((function(){var e=o8(c8(o,t.rho),c8($7(i),1-t.rho)),n=c8(u8(Q7(o8(s,t.epsilon)),Q7(o8(o,t.epsilon))),i),r=o8(c8(s,t.rho),c8($7(n),1-t.rho));o.assign(e),s.assign(r);var u=o8(c8(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedUpdates&&(t8(this.accumulatedGrads.map((function(e){return e.variable}))),t8(this.accumulatedUpdates.map((function(e){return e.variable}))))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedGrads),T(this.accumulatedUpdates)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return 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l(this,a),(t=r.call(this)).learningRate=e,t.initialAccumulatorValue=n,t.accumulatedGrads=[],t}return p(a,[{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=E5.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:e8((function(){return i7(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;e8((function(){var e=o8(o,$7(i));o.assign(e);var n=o8(c8(u8(i,Q7(o8(e,E5.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&t8(this.accumulatedGrads.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().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.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,this.accumulatedGrads=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}}],[{key:"className",get:function(){return"Adagrad"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}]),a}(Pre),Vre=function(e){d(a,e);var t,n,r=w(a);function a(e,t,n){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],e8((function(){i.accBeta1=Z7(t).variable(),i.accBeta2=Z7(n).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=R9(1,t.accBeta2);n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:e8((function(){return F7(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:e8((function(){return F7(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedSecondMoment[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=o8(c8(c,t.beta2),c8($7(s),1-t.beta2)),p=u8(l,r),f=u8(h,a);u.assign(l),c.assign(h);var d=o8(c8(u8(p,o8(Q7(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(c8(t.accBeta1,t.beta1)),t.accBeta2.assign(c8(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&t8(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedFirstMoment),T(this.accumulatedSecondMoment)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,e8((function(){r.accBeta1.assign(J7(r.beta1,r.iterations_+1)),r.accBeta2.assign(J7(r.beta2,r.iterations_+1))})),n=t.length/2,this.accumulatedFirstMoment=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedSecondMoment=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 8:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adam"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}]),a}(Pre),Ure=function(e){d(a,e);var t,n,r=w(a);function a(e,t,n){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return l(this,a),(i=r.call(this)).learningRate=e,i.beta1=t,i.beta2=n,i.epsilon=o,i.decay=s,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],e8((function(){i.iteration=Z7(0).variable(),i.accBeta1=Z7(t).variable()})),null==o&&(i.epsilon=E5.backend.epsilon()),i}return p(a,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);e8((function(){var r=R9(1,t.accBeta1),a=u8(-t.learningRate,o8(c8(t.iteration,t.decay),1));n.forEach((function(n,i){var o=E5.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:F7(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:F7(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedWeightedInfNorm[i].variable,l=o8(c8(u,t.beta1),c8(s,1-t.beta1)),h=c8(c,t.beta2),p=l8(s),f=G9(h,p);u.assign(l),c.assign(f);var d=o8(c8(u8(a,r),u8(l,o8(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(o8(t.iteration,1)),t.accBeta1.assign(c8(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&t8(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&t8(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}}],[{key:"className",get:function(){return"Adamax"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}]),a}(Pre),Gre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t;return l(this,a),(t=r.call(this)).learningRate=e,t.setLearningRate(e),t}return p(a,[{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=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=E5.registeredVariables[n];e8((function(){var e=o8(c8(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()}},{key:"setLearningRate",value:function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=n8(Z7(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().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]);case 4:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate}}}],[{key:"className",get:function(){return"SGD"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate)}}]),a}(Pre),jre=function(e){d(a,e);var t,n,r=w(a);function a(e,t){var n,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return l(this,a),(n=r.call(this,e)).learningRate=e,n.momentum=t,n.useNesterov=i,n.accumulations=[],n.m=Z7(n.momentum),n}return p(a,[{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=E5.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:e8((function(){return F7(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&e8((function(){var e,n=o8(c8(t.m,i),o);e=t.useNesterov?o8(c8(t.c,o8(o,c8(n,t.m))),a):o8(c8(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&t8(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:(n=c(o().mark((function e(){return o().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)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,this.accumulations=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}}));case 5:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getConfig",value:function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}}],[{key:"className",get:function(){return"Momentum"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}]),a}(Gre),Hre=function(e){d(a,e);var t,n,r=w(a);function a(e){var t,n=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,s=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,a),(t=r.call(this)).learningRate=e,t.decay=n,t.momentum=i,t.epsilon=o,t.accumulatedMeanSquares=[],t.accumulatedMoments=[],t.accumulatedMeanGrads=[],t.centered=s,null==o&&(t.epsilon=E5.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return t}return p(a,[{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=E5.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:"".concat(n,"/rms"),variable:e8((function(){return F7(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:"".concat(n,"/momentum"),variable:e8((function(){return F7(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:"".concat(n,"/mg"),variable:e8((function(){return F7(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;e8((function(){var e=o8(c8(s,t.decay),c8($7(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=o8(c8(n,t.decay),c8(o,1-t.decay)),c=u8(c8(o,t.learningRate),Q7(R9(e,o8($7(i),t.epsilon)))),l=o8(c8(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=R9(a,l);a.assign(h)}else{var p=o8(c8(s,t.decay),c8($7(o),1-t.decay)),f=o8(c8(u,t.momentum),u8(c8(o,t.learningRate),Q7(o8(p,t.epsilon))));s.assign(p),u.assign(f);var d=R9(a,f);a.assign(d)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&t8(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&t8(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&t8(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedMeanSquares),T(this.accumulatedMoments)),this.centered&&t.push.apply(t,T(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)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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e(t){if(l(this,e),!k0().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelJsonFileName=t+".json",this.weightDataFileName=t+".weights.bin"}var t;return p(e,[{key:"save",value:(t=c(o().mark((function e(t){var n,r,a,i,s,u,c;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("undefined"!=typeof document){e.next=2;break}throw new Error("Browser downloads are not supported in this environment since `document` is not present");case 2:if(n=j5.join(t.weightData),r=window.URL.createObjectURL(new Blob([n],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer)){e.next=8;break}throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 8:return a=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i=t6(t,a),s=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),(u=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,u.href=s,e.next=16,Kre((function(){return u.dispatchEvent(new MouseEvent("click"))}));case 16:if(null==t.weightData){e.next=22;break}return(c=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,c.href=r,e.next=22,Kre((function(){return c.dispatchEvent(new MouseEvent("click"))}));case 22:return e.abrupt("return",{modelArtifactsInfo:i6(t)});case 23:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})}]),e}();Xre.URL_SCHEME="downloads://";var Yre=function(){function e(t){if(l(this,e),null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+"but received ".concat(t));this.jsonFile=t[0],this.weightsFiles=t.slice(1)}var t;return p(e,[{key:"load",value:(t=c(o().mark((function e(){var t=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",new Promise((function(e,n){var r=new FileReader;r.onload=function(r){var a=JSON.parse(r.target.result),i=a.modelTopology;if(null!=i)if(null!=a.weightsManifest)if(0!==t.weightsFiles.length){var o=r6(a,(function(e){return t.loadWeights(e)}));e(o)}else e({modelTopology:i});else n(new Error("weightManifest field is missing from file ".concat(t.jsonFile.name)));else n(new Error("modelTopology field is missing from file ".concat(t.jsonFile.name)))},r.onerror=function(e){return n("Failed to read model topology and weights manifest JSON "+"from file '".concat(t.jsonFile.name,"'. BrowserFiles supports loading ")+"Keras-style tf.Model artifacts only.")},r.readAsText(t.jsonFile)})));case 1:case"end":return e.stop()}}),e)}))),function(){return t.apply(this,arguments)})},{key:"loadWeights",value:function(e){var t,n=this,r=[],a=[],i=O(e);try{for(i.s();!(t=i.n()).done;){var o=t.value;r.push.apply(r,T(o.weights)),a.push.apply(a,T(o.paths))}}catch(e){i.e(e)}finally{i.f()}var s=this.checkManifestAndWeightFiles(e),u=a.map((function(e){return n.loadWeightsFile(e,s[e])}));return Promise.all(u).then((function(e){return[r,e]}))}},{key:"loadWeightsFile",value:function(e,t){return new Promise((function(n,r){var a=new FileReader;a.onload=function(e){var t=e.target.result;n(t)},a.onerror=function(t){return r("Failed to weights data from file of path '".concat(e,"'."))},a.readAsArrayBuffer(t)}))}},{key:"checkManifestAndWeightFiles",value:function(e){var t,n=this,r=[],a=this.weightsFiles.map((function(e){return 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r=1,a=t;a<n;++a)r*=e[a];return r}function oue(e){if(0===e.length)return Number.NaN;for(var t=Number.POSITIVE_INFINITY,n=0;n<e.length;n++){var r=e[n];r<t&&(t=r)}return t}function sue(e){if(0===e.length)return Number.NaN;for(var t=Number.NEGATIVE_INFINITY,n=0;n<e.length;n++){var r=e[n];r>t&&(t=r)}return t}function uue(e,t){if(t<e)throw new mse("end (".concat(t,") < begin (").concat(e,") is forbidden."));for(var n=[],r=e;r<t;++r)n.push(r);return n}function cue(){return null==nue&&(nue=i8().epsilon()),nue}function lue(e,t){return X6(e,t)}function hue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1,n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),W8(e,n)}function pue(e){var t=[iue(e.shape)];return W8(e,t)}function fue(e,t,n){return e8((function(){switch(e.rank){case 1:return yte(e,t,n);case 2:return bte(e,[t,0],[n,e.shape[1]]);case 3:return xte(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return kte(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return q8(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return q8(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new mse("sliceAlongFirstAxis() received an unsupported tensor rank: "+"".concat(e.rank))}}))}function due(e,t,n){return e8((function(){switch(e.rank){case 1:return yte(e,t,n);case 2:return bte(e,[0,t],[e.shape[0],n]);case 3:return xte(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return kte(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new mse("sliceAlongLastAxis() received an unsupported tensor rank: "+"".concat(e.rank))}}))}function vue(e,t,n,r){return e8((function(){switch(e.rank){case 1:return yte(e,t,n);case 2:switch(r){case 1:return fue(e,t,n);case 2:return due(e,t,n);default:throw new mse("The axis is not within the rank of the tensor "+"".concat(r))}case 3:switch(r){case 1:return fue(e,t,n);case 2:return xte(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return due(e,t,n);default:throw new mse("The axis is not within the rank of the tensor "+"".concat(r))}case 4:switch(r){case 1:return fue(e,t,n);case 2:return kte(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return kte(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return due(e,t,n);default:throw new mse("The axis is not within the rank of the tensor "+"".concat(r))}default:throw new mse("sliceAlongLastAxis() received an unsupported tensor rank: "+"".concat(e.rank))}}))}function mue(e){var t,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1;return n<0&&(n=0!==(t=e[0].rank)?t:0),n===e[0].rank&&(n=-1),G8(e,n)}function gue(e,t){switch(e.rank){case 1:return s7([e,t]);case 2:return u7([e,t],0);case 3:return c7([e,t],0);case 4:return l7([e,t],0);default:throw new mse("concatAlongFirstAxis() received an unsupported "+"tensor rank: ".concat(e.rank))}}function yue(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new mse("The length of input n (".concat(t.length,") does not match 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o=t.shape.slice(),s=o.pop(),u=o.pop(),c=[].concat(T(o),[s]),l=Array.from({length:t.rank},(function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=W8(rne(t,l),[u,-1]);var h=[].concat(T(a),T(c));return W8(Ine({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?Iue(e.rank,r,"channelsLast"):null,activation:n}),h)}function kue(e,t,n){return e8((function(){return t=Array.isArray(t)?Dte(t,"int32"):X6(t,"int32"),l9(e,t,n)}))}function wue(e){return c8(e,e)}function Iue(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new mse("Unexpected bias dimensions: ".concat(t.rank)+"; expected it to be 1 or ".concat(e));if(5===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1,1,1]):W8(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,1,1,r[0]]):W8(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1,1]):W8(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,1,r[0]]):W8(t,[1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?W8(t,[1,r[0],1]):W8(t,[1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?W8(t,[1,1,r[0]]):W8(t,[1].concat(r))}else if(e<3)return t;throw new mse("Unsupported input rank by biasAdd: ".concat(t.rank))}function Nue(e,t,n){return e8((function(){return null==n&&(n="channelsLast"),Yse(n),o8(e,Iue(e.rank,t,n))}))}function Sue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1;if(1!==t)throw new gse("Support for alpha values other than 1 (".concat(t,") is not implemented ")+"yet.");return z7(e)}function Tue(e,t,n,r){return e8((function(){return cne(e,t,n,r)}))}function Eue(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return n?e():t()}var Cue=["fanIn","fanOut","fanAvg"],Aue=["normal","uniform","truncatedNormal"];var Rue=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"fromConfigUsesCustomObjects",value:function(){return!1}},{key:"getConfig",value:function(){return{}}}]),n}(Dre),_ue=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return H9(e,t)}}]),n}(Rue);_ue.className="Zeros",Lre(_ue);var Oue=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return q9(e,t)}}]),n}(Rue);Oue.className="Ones",Lre(Oue);var Fue=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this),"object"!==s(e))throw new mse("Expected argument of type ConstantConfig but got ".concat(e));if(void 0===e.value)throw new mse("config must have value set but got ".concat(e));return r.value=e.value,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){return c8(Z7(n.value),q9(e,t))}))}},{key:"getConfig",value:function(){return{value:this.value}}}]),n}(Rue);Fue.className="Constant",Lre(Fue);var Due=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MINVAL=-.05,r.DEFAULT_MAXVAL=.05,r.minval=e.minval||r.DEFAULT_MINVAL,r.maxval=e.maxval||r.DEFAULT_MAXVAL,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){return Zee(e,this.minval,this.maxval,t,this.seed)}},{key:"getConfig",value:function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}]),n}(Rue);Due.className="RandomUniform",Lre(Due);var Mue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new gse("randomNormal does not support dType ".concat(t,"."));return bue(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(Rue);Mue.className="RandomNormal",Lre(Mue);var Lue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new gse("truncatedNormal does not support dType ".concat(t,"."));return qte(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(Rue);Lue.className="TruncatedNormal",Lre(Lue);var zue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).gain=null!=e.gain?e.gain:1,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){if(2!==e.length||e[0]!==e[1])throw new mse("Identity 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Got: ".concat(e.scale));return r.scale=null==e.scale?1:e.scale,r.mode=null==e.mode?"fanIn":e.mode,a=r.mode,Dse(Cue,"FanMode",a),r.distribution=null==e.distribution?"normal":e.distribution,function(e){Dse(Aue,"Distribution",e)}(r.distribution),r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=function(e){var t,n,r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"channelsLast";if(Yse(r),2===e.length)t=e[0],n=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===r){var a=iue(e,2);t=e[1]*a,n=e[0]*a}else if("channelsLast"===r){var i=iue(e,0,e.length-2);t=e[e.length-2]*i,n=e[e.length-1]*i}}else{var o=iue(e);t=Math.sqrt(o),n=Math.sqrt(o)}return[t,n]}(e),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new gse("".concat(this.getClassName()," does not support dType ").concat(t,"."));return qte(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return Zee(e,-s,s,t,this.seed)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(Rue);Pue.className="VarianceScaling",Lre(Pue);var Bue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);Bue.className="GlorotUniform",Lre(Bue);var Wue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);Wue.className="GlorotNormal",Lre(Wue);var Vue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);Vue.className="HeNormal",Lre(Vue);var Uue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);Uue.className="HeUniform",Lre(Uue);var Gue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);Gue.className="LeCunNormal",Lre(Gue);var jue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Pue.className}}]),n}(Pue);jue.className="LeCunUniform",Lre(jue);var Hue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.ELEMENTS_WARN_SLOW=2e3,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return e8((function(){if(e.length<2)throw new gse("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=L$(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than ".concat(n.ELEMENTS_WARN_SLOW," (").concat(i,") elements: ")+"Slowness may result.");var o=bue([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=Rre.qr(o,!1),u=s[0],c=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=c8(u,c.sign()),r<a&&(u=u.transpose()),c8(Z7(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(Rue);Hue.className="Orthogonal",Lre(Hue);var que={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Kue(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Rse(e,Mre.getMap().classNameMap,t,"initializer")}function Xue(e){return Cse(e)}function Yue(e){if("string"==typeof e){var t=e in que?que[e]:e;if("GlorotNormal"===t)return new Wue;if("GlorotUniform"===t)return new Bue;if("HeNormal"===t)return new Vue;if("HeUniform"===t)return new Uue;if("LeCunNormal"===t)return new Gue;if("LeCunUniform"===t)return new jue;var n={};return n.className=t,n.config={},Kue(n)}return e instanceof Rue?e:Kue(e)}function Jue(e){return Array.isArray(e)&&Array.isArray(e[0])}function Zue(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function Que(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new mse("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function $ue(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new mse("Expected exactly 1 Shape; got ".concat(e.length))}return e}function ece(e){var t,n=0,r=O(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(e){r.e(e)}finally{r.f()}return n}var tce="Variable",nce=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]:tce,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;l(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Wse(),r=null==r?tce:r,this.originalName=eue(r),this.name=tue(this.originalName),this.trainable_=a,this.constraint=i,this.val=Zte(t,this.trainable_,this.name,this.dtype)}return p(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 rce(e){return e.map((function(e){return e.read()}))}function ace(e){e.forEach((function(e){e[0].write(e[1])}))}var ice=p((function e(t){l(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||{}})),oce=p((function e(t,n,r,a,i,o,s){l(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=Wse(),null!=o&&(this.originalName=eue(o),this.name=tue(this.originalName)),this.rank=n.length})),sce=0,uce=function(){function e(t,n){l(this,e),this.callArgs=n,this.id=sce++,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=O(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(e){a.e(e)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return p(e,[{key:"getConfig",value:function(){var e,t=[],n=O(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(e){n.e(e)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),cce=0,lce=function(e){d(n,e);var t=w(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=cce++,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 i=e.getClassName();a=Sse(i)+"_"+Use(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return p(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new vse("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new mse("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 Ise(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return Ise(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new dse("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 dse("Layer ".concat(this.name)+" is not connected, no input to return.");return Ise(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new dse("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new dse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Ise(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{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_},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:"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=Nse(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=Nse(this.inputSpec);if(e.length!==t.length)throw new mse("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 mse("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 mse("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 mse("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 mse("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 s in a.axes){var u=Number(s),c=a.axes[s],l=u>=0?o[u]:o[o.length+u];if(null!=c&&-1===[c,null].indexOf(l))throw new mse("Input ".concat(n," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(u," of input shape to ")+"have value ".concat(c," but got shape ").concat(o,"."))}}if(null!=a.shape)for(var h=0;h<a.shape.length;++h){var p=a.shape[h],f=r.shape[h];if(null!=p&&null!=f&&p!==f)throw new mse("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=Nse(e),i=!0,o=O(a);try{for(o.s();!(r=o.n()).done;){if(!(r.value instanceof oce)){i=!1;break}}}catch(e){o.e(e)}finally{o.f()}var s,u=!0,c=O(a);try{for(c.s();!(s=c.n()).done;){if(s.value instanceof oce){u=!1;break}}}catch(e){c.e(e)}finally{c.f()}if(i===u)throw new mse("Arguments to apply() must be all SymbolicTensors or all Tensors");return $se(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var r,i=[],o=O(Nse(e));try{for(o.s();!(r=o.n()).done;){var s=r.value;i.push(s.shape)}}catch(e){o.e(e)}finally{o.f()}n.build(Ise(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&u&&(n._refCount=1)}if(n.assertInputCompatibility(e),u){var c,l=n.call(e,t),h=[],p=O(Nse(l));try{for(p.s();!(c=p.n()).done;){var f=c.value;-1!==a.indexOf(f)&&(f=f.clone()),h.push(f)}}catch(e){p.e(e)}finally{p.f()}if(l=Ise(h),null!=n.activityRegularizer)throw new gse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return l}var d,v=function(e){e=Nse(e);var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;n.push(a.shape)}}catch(e){r.e(e)}finally{r.f()}return Ise(n)}(e),m=n.computeOutputShape(v),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?v[0]:v),d=null!=m&&m.length>0&&Array.isArray(m[0])?m.map((function(r,a){return new oce(g,r,n,Nse(e),t,n.name,a)})):new oce(g,m,n,Nse(e),t,n.name),n.addInboundNode(e,d,null,null,v,m,t),n._refCount++,null!=n.activityRegularizer)throw new gse("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))}},{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:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new dse("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=O(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(e){n.e(e)}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 dse("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:"countParams",value:function(){if(!this.built)throw new vse("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return ece(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 rce(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;e8((function(){var n=t.weights;if(n.length!==e.length)throw new mse('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=[],a=rce(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!P$(o.shape,u.shape))throw new mse("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}ace(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new mse("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():Yue("zeros"));var u=r.apply(t,n),c=new nce(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=Nse(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,T(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,s=Nse(e);t=Nse(t),n=Nse(n),r=Nse(r),a=Zue(a),i=Zue(i);var u,c=[],l=[],h=[],p=O(s);try{for(p.s();!(u=p.n()).done;){var f=u.value;c.push(f.sourceLayer),l.push(f.nodeIndex),h.push(f.tensorIndex)}}catch(e){p.e(e)}finally{p.f()}new uce({outboundLayer:this,inboundLayers:c,nodeIndices:l,tensorIndices:h,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d}},{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:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(Dre);function hce(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,s=O(hce(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));try{for(s.s();!(o=s.n()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}}catch(e){s.e(e)}finally{s.f()}}return a}var pce=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Use("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 mse("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 mse("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new mse("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";r.batchInputShape=a,r.dtype=i,r.inputSpec=[{shape:a}];var o=new oce(r.dtype,r.batchInputShape,x(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new uce({outboundLayer:x(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return p(n,[{key:"apply",value:function(e,t){throw new mse("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}(lce);function fce(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 mse("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 pce({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}pce.className="InputLayer",Lre(pce);var dce=function(){function e(t){if(l(this,e),this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;var r,a=O(t);try{for(a.s();!(r=a.n()).done;){var i=r.value;this.add(i.key,i.value)}}catch(e){a.e(e)}finally{a.f()}}}return p(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new mse("Duplicate key: name=".concat(e.name,", id=").concat(e.id));return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return X6(t,e.dtype)}catch(n){throw new mse("The dtype of the feed (".concat(t.dtype,") can not be cast to the dtype ")+"of the key '".concat(e.name,"' (").concat(e.dtype,")."))}}(e,t),this.name2Id[e.name]=e.id,null!=n&&(this.id2Mask[e.id]=n),this}},{key:"addFeed",value:function(e){this.add(e.key,e.value)}},{key:"hasKey",value:function(e){return null!=this.id2Value[e.id]}},{key:"names",value:function(){return Object.keys(this.name2Id)}},{key:"getValue",value:function(e){if(e instanceof oce){if(null==this.id2Value[e.id])throw new mse("Nonexistent key: ".concat(e.name));return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new mse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Value[t]}},{key:"getMask",value:function(e){if(e instanceof oce){if(null==this.id2Value[e.id])throw new mse("Nonexistent key: ".concat(e.name));return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new mse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Mask[t]}},{key:"disposeMasks",value:function(){null!=this.id2Mask&&t8(this.id2Mask)}}]),e}(),vce=new bse,mce=new bse;function gce(e,t,n,r){var a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),c=[],l=t.names(),h=O(u);try{for(h.s();!(a=h.n()).done;){var p=a.value;-1!==l.indexOf(p)?c.push(t.getValue(p)):c.push(null)}}catch(e){h.e(e)}finally{h.f()}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d=u.join(",")+"|"+t.names().sort().join(","),v=vce.get(d);if(null==v){var m=function(e,t){F$(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=bce(e[0],t);n=a.sorted,r=a.recipientMap}else{var i,o=new Set,s=O(e);try{for(s.s();!(i=s.n()).done;){var u,c=bce(i.value,t),l=c.sorted,h=c.recipientMap,p=O(l);try{for(p.s();!(u=p.n()).done;){var f=u.value;o.has(f.name)||(n.push(f),o.add(f.name))}}catch(e){p.e(e)}finally{p.f()}var d=function(e){null==r[e]&&(r[e]=new Set),h[e].forEach((function(t){return r[e].add(t)}))};for(var v in h)d(v)}}catch(e){s.e(e)}finally{s.f()}}return{sorted:n,recipientCounts:yce(r)}}(s,t);v=m.sorted,f=m.recipientCounts,vce.put(d,v),mce.put(d,f)}f={},i||Object.assign(f,mce.get(d));for(var g=new dce(t),y=0;y<v.length;++y){if(null!=r){var b=$6().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=v[y],k=x.sourceLayer;if(!(k instanceof pce)){var w,I=[],N=[],S=[],T=!1,E=O(x.inputs);try{for(E.s();!(w=E.n()).done;){var C=w.value,A=g.getValue(C),R=g.getMask(C);I.push(A),N.push(R),null!=R&&(T=!0),i||(f[C.name]--,0!==f[C.name]||t.hasKey(C)||-1!==u.indexOf(C.name)||A.isDisposed||!0===C.sourceLayer.stateful||S.push(A))}}catch(e){E.e(e)}finally{E.f()}T&&((n=n||{}).mask=N[0]);var _=Nse(k.apply(I,n)),F=null;k.supportsMasking&&(F=k.computeMask(I,N));for(var 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")+"Input ".concat(y," (0-based) originates ")+"from layer type ".concat(b.getClassName(),"."));r.inputNames.push(b.name),r.feedInputShapes.push(b.batchInputShape),r.feedInputNames.push(b.name)}var k,w=O(r.outputLayers);try{for(w.s();!(k=w.n()).done;){var I=k.value;r.outputNames.push(I.name)}}catch(e){w.e(e)}finally{w.f()}r.internalInputShapes=r.inputs.map((function(e){return e.shape})),r.internalOutputShapes=r.outputs.map((function(e){return e.shape}));var N,S={},T={},E={},C={},A={},R=[],_=function e(t,a,i,o,s,u){null!=o&&null!=s&&null!=u||(o=t.sourceLayer,s=t.nodeIndex,u=t.tensorIndex);var c=o.inboundNodes[s];if(-1!==i.indexOf(c))throw new vse("The tensor ".concat(t.name,' at layer "').concat(o.name,'" ')+"is part of a cycle.");if(-1===a.indexOf(c)){r.containerNodes.add(n.nodeKey(o,s)),o.id in A||(A[o.id]=Object.keys(A).length),-1===i.indexOf(c)&&i.push(c);for(var l=c.inboundLayers.length,h=0;h<l;h++){e(c.inputTensors[h],a,i,c.inboundLayers[h],c.nodeIndices[h],c.tensorIndices[h])}for(a.push(c);i.indexOf(c)>=0;)i.splice(i.indexOf(c),1);R.push(c)}},F=[],D=[],M=O(r.outputs);try{for(M.s();!(N=M.n()).done;){_(N.value,F,D)}}catch(e){M.e(e)}finally{M.f()}var L,z=O(R.slice().reverse());try{for(z.s();!(L=z.n()).done;){var P=L.value;T[P.id]=P,P.id in S||(S[P.id]=0);var B=S[P.id],W=null==E[P.outboundLayer.id]?0:E[P.outboundLayer.id];B=Math.max(B,W),E[P.outboundLayer.id]=B,C[P.outboundLayer.id]=P.outboundLayer,S[P.id]=B;for(var V=0;V<P.inboundLayers.length;V++){var U=P.inboundLayers[V],G=P.nodeIndices[V],j=U.inboundNodes[G],H=null==S[j.id]?0:S[j.id];S[j.id]=Math.max(B+1,H),T[j.id]=j}}}catch(e){z.e(e)}finally{z.f()}var q={};for(var K in S){var X=S[K];X in q||(q[X]=[]),q[X].push(T[K])}var Y={};for(var J in E){var Z=E[J];Z in Y||(Y[Z]=[]),Y[Z].push(C[J])}var Q=Object.keys(Y).map((function(e){return parseInt(e,10)})).sort(_se);r.layers=[];var $,ee=O(Q);try{for(ee.s();!($=ee.n()).done;){var te=Y[$.value];te.sort((function(e,t){var n=A[e.id],r=A[t.id];return n<r?-1:n>r?1:0}));var ne,re=O(te);try{for(re.s();!(ne=re.n()).done;){var ae=ne.value;ae instanceof n&&r.internalContainerRefs.push(ae),r.layers.push(ae)}}catch(e){re.e(e)}finally{re.f()}}}catch(e){ee.e(e)}finally{ee.f()}r.layersByDepth=Y,Q=Object.keys(q).map((function(e){return parseInt(e,10)})).sort(_se);var ie,oe=r.inputs.slice(),se=[],ue=O(Q);try{for(ue.s();!(ie=ue.n()).done;){var ce,le=O(q[ie.value]);try{for(le.s();!(ce=le.n()).done;){var he=ce.value,pe=he.outboundLayer;if(null!=pe){var fe,de=O(he.inputTensors);try{for(de.s();!(fe=de.n()).done;){var ve=fe.value;if(-1===oe.indexOf(ve))throw new vse("Graph disconnected: cannot obtain value for tensor ".concat(ve)+' at layer "'.concat(pe.name,'". 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.layers);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"loadWeights",value:function(e){var t,n=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],r={},a=0,i=O(this.layers);try{for(i.s();!(t=i.n()).done;){var o,s=t.value,u=O(s.weights);try{for(u.s();!(o=u.n()).done;){var c=o.value;if(null!=r[c.originalName])throw new mse("Duplicate weight name: ".concat(c.originalName));r[c.originalName]=c,a++}}catch(e){u.e(e)}finally{u.f()}}}catch(e){i.e(e)}finally{i.f()}var l=[];for(var h in e){var p=h;if(null==r[h]){var f=h.split("/"),d=f.slice(0,-2).concat([f[f.length-1]]);p=d.join("/")}if(null!=r[p])l.push([r[p],e[h]]);else if(n)throw new mse("Provided weight data has no target variable: ".concat(h));delete r[p]}if(n){var v=[];for(var m in r)v.push(m);if(v.length>0)throw new mse("".concat(v.length," of ").concat(a," weights are not set: ")+"".concat(v))}ace(l)}},{key:"updatedConfig",value:function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers ".concat(Ele),t.backend="TensorFlow.js",t}},{key:"toJSON",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=Tle(this.updatedConfig());return t?JSON.stringify(n):n}},{key:"call",value:function(e,t){var n=this;return e8((function(){e=Nse(e);for(var r=new dce,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return gce(n.outputs,r,t)}))}},{key:"computeMask",value:function(e,t){var n=this;return e8((function(){var r;return e=Nse(e),r=null==t?xse(null,e.length):Nse(t),n.runInternalGraph(e,r)[1]}))}},{key:"computeOutputShape",value:function(e){var t=Zue(e);if(t.length!==this.inputLayers.length)throw new mse("Invalid inputShape argument ".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(_se);if(o.length>1){var s,u=O(o);try{for(u.s();!(s=u.n()).done;){var c,l=s.value,h=O(this.nodesByDepth[l]);try{for(h.s();!(c=h.n()).done;){var p=c.value,f=p.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],v=0;v<p.inboundLayers.length;v++){var m=p.inboundLayers[v],g=p.nodeIndices[v],y=p.tensorIndices[v],b=n["".concat(m.name,"_").concat(g,"_").concat(y)];d.push(b)}for(var x=Zue(f.computeOutputShape(Ise(d))),k=f.inboundNodes.indexOf(p),w=0;w<x.length;w++){n["".concat(f.name,"_").concat(k,"_").concat(w)]=x[w]}}}}catch(e){h.e(e)}finally{h.f()}}}catch(e){u.e(e)}finally{u.f()}}for(var I=[],N=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],E=this.outputLayersNodeIndices[S],C=this.outputLayersTensorIndices[S],A="".concat(T.name,"_").concat(E,"_").concat(C);N.push(A)}for(var R=0;R<N.length;R++){var _=N[R];kse(_ in n),I.push(n[_])}return Ise(I)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=xse(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 s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(_se),c=O(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,p=O(this.nodesByDepth[h]);try{for(p.s();!(l=p.n()).done;){var f,d=l.value,v=d.outboundLayer,m=d.inputTensors,g=d.outputTensors,y=new Array,b=O(m);try{for(b.s();!(f=b.n()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}}catch(e){b.e(e)}finally{b.f()}if(y.length===m.length){var k={},w=void 0,I=void 0,N=void 0,T=void 0;if(null!=d.callArgs&&(k=d.callArgs),1===y.length){var E=S(y[0],2),C=E[0],A=E[1];null==k.mask&&(k.mask=A),N=Nse(v.call(C,k)),T=Nse(v.computeMask(C,A)),w=[C],I=[A]}else w=y.map((function(e){return e[0]})),I=y.map((function(e){return e[1]})),null==k.mask&&(k.mask=I),N=Nse(v.call(w,k)),T=Nse(v.computeMask(w,I));if(v.activityRegularizer)throw new gse("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var R=0;R<g.length;++R){var _=g[R],F=N[R],D=T[R];n[_.id]=[F,D]}}}}catch(e){p.e(e)}finally{p.f()}}}catch(e){c.e(e)}finally{c.f()}var M,L=[],z=[],P=[],B=O(this.outputs);try{for(B.s();!(M=B.n()).done;){var W=M.value;kse(W.id in n,"Could not compute output ".concat(W.name," : ").concat(W.id));var V=S(n[W.id],2),U=V[0],G=V[1];P.push(U.shape),L.push(U),z.push(G)}}catch(e){B.e(e)}finally{B.f()}return[L,z,P]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=O(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(e){i.e(e)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t){if(this.layers.length<=t)throw new mse("Was asked to retrieve layer at index ".concat(t,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[t]}if(null==e)throw new mse("Provide either a layer name or layer index");var n,r=O(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(e){r.e(e)}finally{r.f()}throw new mse("No such layer: ".concat(e))}},{key:"calculateLosses",value:function(){var e=this;return e8((function(){var t,r=[],a=O(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,T(i.calculateLosses()))}}catch(e){a.e(e)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=O(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],p=n.nodeKey(o,l),f={};if(this.containerNodes.has(p)){if(h.callArgs)try{JSON.stringify(h.callArgs),f=h.callArgs}catch(e){console.warn("Layer ".concat(o.name," was passed ")+"non-serializable keyword arguments: "+"".concat(h.callArgs,". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(h.inboundLayers.length>0){for(var d=[],v=0;v<h.inboundLayers.length;v++){var m=h.inboundLayers[v],g=h.nodeIndices[v],y=h.tensorIndices[v],b=r[n.nodeKey(m,g)];null==b&&(b=0),d.push([m.name,b,y,f])}c.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=c,a.push(x)}}catch(e){i.e(e)}finally{i.f()}t.layers=a;for(var k=[],w=0;w<this.inputLayers.length;w++){var I=this.inputLayers[w],N=this.inputLayersNodeIndices[w],S=n.nodeKey(I,N);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var E=this.inputLayersTensorIndices[w];k.push([I.name,T,E])}}t.inputLayers=k;for(var C=[],A=0;A<this.outputLayers.length;A++){var R=this.outputLayers[A],_=this.outputLayersNodeIndices[A],F=n.nodeKey(R,_);if(this.containerNodes.has(F)){var D=r[F];null==D&&(D=0);var M=this.outputLayersTensorIndices[A];C.push([R.name,D,M])}}return t.outputLayers=C,t}},{key:"stateful",get:function(){if(this._stateful)throw new mse("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(e){t.e(e)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;e8((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=O(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var p=r[c];if(p.inboundNodes.length<=l)return void i(e,t);var f=p.inboundNodes[l];o.push(f.outputTensors[h])}}catch(e){s.e(e)}finally{s.f()}o.length>0&&e.apply(Ise(o),n)}function s(e){var a=e.name,o=Hce(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new mse("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=O(l);try{for(h.s();!(u=h.n()).done;){var p=u.value;s(p)}}catch(e){h.e(e)}finally{h.f()}for(;!Fse(a);){var f,d=O(l);try{for(d.s();!(f=d.n()).done;){var v=f.value,m=r[v.name];if(m.name in a){var g=a[m.name];delete a[m.name];var y,b=O(g);try{for(b.s();!(y=b.n()).done;){var x=y.value;o(m,x)}}catch(e){b.e(e)}finally{b.f()}}}}catch(e){d.e(e)}finally{d.f()}}var k,w=[],I=[],N=t.inputLayers,S=O(N);try{for(S.s();!(k=S.n()).done;){var T=k.value,E=T[0],C=T[1],A=T[2];kse(E in r);var R=r[E],_=R.inboundNodes[C].outputTensors;w.push(_[A])}}catch(e){S.e(e)}finally{S.f()}var F,D=t.outputLayers,M=O(D);try{for(M.s();!(F=M.n()).done;){var L=F.value,z=L[0],P=L[1],B=L[2];kse(z in r);var W=r[z],V=W.inboundNodes[P].outputTensors;I.push(V[B])}}catch(e){M.e(e)}finally{M.f()}return new e({inputs:w,outputs:I,name:c})}}]),n}(lce);function Ale(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===s(e)&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element(s), but the model has ".concat(r," outputs. ")+"Make sure a set of weights is provided for each model output.");return e}if("object"===s(e)&&Object.keys(e).length>0&&"object"===s(e[Object.keys(e)[0]])){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple (".concat(r,") outputs, ")+"so ".concat(n," must be either an array with ")+"".concat(r," elements or an object with ").concat(t," keys. ")+"Provided ".concat(n," not understood: ").concat(JSON.stringify(e)))}function Rle(e,t){return Ale(e,t,"classWeight")}function _le(e,t,n,r){return Ole.apply(this,arguments)}function Ole(){return(Ole=c(o().mark((function e(t,n,r,a){var i,s,u;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=e8((function(){if(1===t.shape.length)return Y6(t);if(2===t.shape.length){if(t.shape[1]>1){return m8(t,1)}if(1===t.shape[1])return W8(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size (".concat(t.shape[1],") ")+"during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor (".concat(t.rank,") during ")+"handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,s=e.t0.from.call(e.t0,e.t1),t8(i),u=[],s.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. "+"The class ".concat(e," exists in the data but not in ")+"classWeight");u.push(r[e])})),e.abrupt("return",Dte(u,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function Fle(e,t){return c8(e,t)}function Dle(e,t){var n,r,a=t;n=a.xs,r=a.ys,F$(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates "+"".concat(t)}));var i=Mle("input",e.inputNames,n),o=Mle("output",e.outputNames,r),s=i[0].shape[0];F$(i.length===e.inputs.length,(function(){return"LayersModel has ".concat(e.inputs.length," inputs, but the dataset ")+"provides ".concat(i.length," inputs. (Expected input keys: ")+"".concat(JSON.stringify(e.inputNames),")")})),F$(o.length===e.outputs.length,(function(){return"LayersModel has ".concat(e.outputs.length," outputs, but the dataset ")+"provides ".concat(o.length," outputs. (Expected output keys: ")+"".concat(JSON.stringify(e.outputNames),")")}));for(var u=function(t){F$(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+"".concat(e.inputNames[t]," has ").concat(i[t].shape[0],"; ")+"expected ".concat(s," based on input ").concat(e.inputNames[0],".")}))},c=0;c<i.length;c++)u(c);for(var l=function(t){F$(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+"".concat(e.outputNames[t]," has ").concat(o[t].shape[0],"; ")+"expected ".concat(s," based on input ").concat(e.inputNames[0],".")}))},h=0;h<o.length;h++)l(h);return{xs:i,ys:o}}function Mle(e,t,n){if(n instanceof n5)return[n];if(Array.isArray(n))return F$(n.length===t.length,(function(){return"Received an array of ".concat(n.length," Tensors, but expected ").concat(t.length," to match the ").concat(e," keys ").concat(t,".")})),n;var r,a=[],i=O(t);try{for(i.s();!(r=i.n()).done;){var o=r.value;if(null==n[o])throw new mse("The feature data generated by the dataset lacks the required "+"".concat(e," key '").concat(o,"'."));a.push(n[o])}}catch(e){i.e(e)}finally{i.f()}return a}function Lle(e){if(3===e.length)throw new gse("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function zle(e,t,n){return Ple.apply(this,arguments)}function Ple(){return Ple=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,F$(null!=t.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),F$(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),F$(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive "+"integer, but got ".concat(r.epochs)})),F$(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+"positive integer if specified, but got ".concat(r.batchesPerEpoch)})),F$(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(Wle(r.validationData)?F$(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+"but got ".concat(r.validationBatches)})):(c=Lle(r.validationData),s=c.xs,u=c.ys)),l=t.makeTrainFunction(),h=t.getDedupedMetricsNames(),p=i?h.slice().concat(h.map((function(e){return"val_"+e}))):h.slice(),f=Uce(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,v=jce(f,d,r.epochs,null,null,Ble(n,r),null,i,p),m=v.callbackList,g=v.history,m.setModel(t),t.history=g,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,y=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:b=e.sent;case 27:if(!(y<r.epochs)){e.next=98;break}return x={},e.next=31,m.onEpochBegin(y);case 31:if(k=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:b=e.sent;case 37:if(a&&!(k<r.batchesPerEpoch)){e.next=91;break}return e.next=40,b.next();case 40:if(I=e.sent,!a||!I.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(k," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==I.value){e.next=73;break}return N=Dle(t,I.value),S=N.xs,T=N.ys,(E={}).batch=w,E.size=S[0].shape[0],e.next=51,m.onBatchBegin(w,E);case 51:if(C=[],null==r.classWeight){e.next=64;break}A=Rle(r.classWeight,t.outputNames),R=0;case 55:if(!(R<A.length)){e.next=64;break}return e.t0=C,e.next=59,_le(T[R],null,A[R]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++R,e.next=55;break;case 64:for(_=S.concat(T).concat(C),O=l(_),t8(_),F=0;F<h.length;++F)D=h[F],M=O[F],E[D]=M,n8(M);return e.next=70,m.onBatchEnd(w,E);case 70:Lce(E),w++,k++;case 73:if(!(a?k>=r.batchesPerEpoch:I.done)){e.next=87;break}if(!i){e.next=86;break}if(L=void 0,!Wle(r.validationData)){e.next=84;break}return e.t2=Nse,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,L=(0,e.t2)(e.t3),e.next=85;break;case 84:L=Nse(t.evaluate(s,u,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(z=0;z<t.metricsNames.length;++z)x["val_".concat(t.metricsNames[z])]=L[z];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(y,x);case 93:if(y++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),Ple.apply(this,arguments)}function Ble(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function Wle(e){return"function"==typeof e.iterator}function Vle(e){return"function"==typeof e.next}function Ule(e,t,n){return Gle.apply(this,arguments)}function Gle(){return Gle=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,s=[],!(r.verbose>0)){e.next=6;break}throw new gse("Verbose mode is not implemented yet.");case 6:if(F$(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),!Vle(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:u=e.t0,c=0,l=0,h=o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,u.next();case 2:if(n=e.sent,s=e8((function(){if(n.value){var e=Dle(t,n.value),r=e.xs,a=e.ys,o=r.concat(a),u=e8((function(){return i(o)}));if(t8(o),0===l)for(var h=0;h<u.length;++h)s.push(Z7(0));for(var p=o[0].shape[0],f=function(e){var t=u[e],n=s[e];s[e]=e8((function(){return o8(s[e],c8(p,t))})),l>0&&t8(n)},d=0;d<u.length;++d)f(d);t8(u),c+=p,++l}return s})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(r.batches," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("return","break");case 7:case"end":return e.stop()}}),e)}));case 18:if(a&&!(l<r.batches)){e.next=25;break}return e.delegateYield(h(),"t1",20);case 20:if("break"!==e.t1){e.next=23;break}return e.abrupt("break",25);case 23:e.next=18;break;case 25:for(p=0;p<s.length;++p)f=s[p],s[p]=u8(s[p],c),t8(f);return e.abrupt("return",Ise(s));case 27:case"end":return e.stop()}}),e)}))),Gle.apply(this,arguments)}function jle(e){F$(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got ".concat(e)}))}function Hle(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return fue(e,t,n-t)})):fue(e,t,n-t)}function qle(e,t){return e8((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return qle(e,t)})):kue(e,"int32"===t.dtype?t:X6(t,"int32"))}))}function Kle(e,t){for(var n=[],r=0,a=null;r<e;)(a=r+t)>=e&&(a=e),n.push([r,a]),r=a;return n}function Xle(e){var t=[];e instanceof n5&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(hue(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function Yle(e,t){if(null!=e){var n=[];if(t instanceof n5)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof n5)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function Jle(e){return Array.isArray(e)}function Zle(e){return!function(e){return e instanceof n5}(e)&&!Jle(e)}function Qle(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(null==t||0===t.length){if(null!=e){var o=!1;if(Jle(e)&&e.length>0)o=!0;else if(Zle(e)){for(var s in e)if(e.hasOwnProperty(s)){o=!0;break}}else o=!0;if(o)throw new mse("Error when checking model ".concat(i," expected no data, ")+"but got ".concat(e))}return[]}if(null==e)return t.map((function(e){return null}));if(Zle(e)){r=[];var u,c=O(t);try{for(c.s();!(u=c.n()).done;){var l=u.value;if(null==e[l])throw new mse('No data provided for "'.concat(l,'". Need data for each key in: ')+"".concat(t));r.push(e[l])}}catch(e){c.e(e)}finally{c.f()}}else if(Jle(e)){if(e.length!==t.length)throw new mse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"model expected. Expected to see ".concat(t.length," Tensor(s), but ")+"instead got the following list of Tensor(s): ".concat(e));r=e}else{if(t.length>1)throw new mse("The model ".concat(i," expects ").concat(t.length," Tensor(s), ")+"but only received one Tensor. 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Got array shapes: "+"".concat(JSON.stringify(e.map((function(e){return e.shape})))));if(a.length>1)throw new mse("All target Tensors (y) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(t.map((function(e){return e.shape})))));if(r.length>0&&a.length>0&&!P$(r,a))throw new mse("Input Tensors should have the same number of samples as target "+"Tensors. Found ".concat(r[0]," input sample(s) and ").concat(a[0]," target ")+"sample(s).")}function ehe(e,t,n){for(var r=[Kce,$ce,Zce],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===Zce&&1===i.shape[i.shape.length-1])throw new mse("You are passing a target array of shape ".concat(i.shape," while using ")+"a loss 'categorical_crossentropy'. 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Expected to see ".concat(t.length," Tensor(s),")+" but instead got ".concat(e.length," Tensors(s)."));r=e}else{if(t.length>1)throw new mse("The model expects ".concat(t.length," ").concat(i," Tensors, ")+"but only received one Tensor. Found: array with shape "+"".concat(JSON.stringify(e.shape),"."));r=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=r[o];if(s.shape.length!==n[o].length)throw new mse("Error when checking ".concat(i,": expected ").concat(t[o]," ")+"to have ".concat(n[o].length," dimension(s), but got array with ")+"shape ".concat(JSON.stringify(s.shape)));for(var u=0;u<n[o].length;++u)if(0!==u||a){var c=s.shape[u],l=n[o][u];if(null!=l&&l!==c)throw new mse("Error when checking ".concat(i,": expected ")+"".concat(t[o]," to have shape ").concat(JSON.stringify(n[o])," but ")+"got array with shape ".concat(JSON.stringify(s.shape),"."))}}}var nhe=function(e){d(m,e);var t,n,r,a,i,u,h,f=w(m);function m(e){var t;return l(this,m),(t=f.call(this,e)).isTraining=!1,t}return p(m,[{key:"summary",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:console.log;if(!this.built)throw new mse("This model has never been called, thus its weights have not been created yet. 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The model has ".concat(this.outputs.length," output(s), ")+"but you passed loss=".concat(e.loss,"."));var r=e.loss;n=r.map((function(e){return rle(e)}))}else{var a=rle(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new mse('Unknown entry in loss dictionary: "'.concat(i,'". ')+"Only expected the following keys: ".concat(this.outputNames));var o,u=O(this.outputNames);try{for(u.s();!(o=u.n()).done;){var c=o.value;null==e.loss[c]&&console.warn('Output "'.concat(c,'" is missing from loss dictionary. 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e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new dce(t),l=gce(e.outputs,c,{training:!0}),h=0;h<e.lossFunctions.length;++h){var p=(0,e.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(p=Fle(p,i[h]));var f=j9(p);n.push(f),u=0===h?p:o8(u,p)}for(var d=0;d<e.metricsTensors.length;++d){var v=void 0;if(e.outputs.length>1&&d<e.outputs.length)v=n[d];else{var m=e.metricsTensors[d][0],g=e.metricsTensors[d][1];v=j9(m(a[g],l[g]))}n8(v),o.push(v)}return u=j9(u),e.calculateLosses().forEach((function(e){u=o8(u,e)})),u}),!0,s)].concat(o)}}},{key:"makeTestFunction",value:function(){var e=this;this.testFunction=function(t){return e8((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new dce(o),c=gce(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var h=e.lossFunctions[l],p=j9(h(i[l],c[l]));n=0===l?p:o8(n,p),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],v=e.metricsTensors[f][1],m=j9(d(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:(i=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=R.length>2&&void 0!==R[2]?R[2]:{},!this.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return this.isTraining=!0,e.prev=4,jle(d=null==r.batchSize?32:r.batchSize),v=!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,v,d);case 10:if(m=e.sent,a=m[0],i=m[1],f=m[2],g=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(g=!0,2!==r.validationData.length){e.next=22;break}c=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new gse("validationData including sample weights is not supported yet.");case 26:throw new mse("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+"".concat(r.validationData," is invalid."));case 27:return b=!0,e.next=30,this.standardizeUserData(c,l,null,null,b,d);case 30:x=e.sent,h=x[0],p=x[1],y=h.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(g=!0,k=Math.floor(a[0].shape[0]*(1-r.validationSplit)),w=a[0].shape[0],h=Hle(a,k,w),s=a,a=Hle(a,0,k),p=Hle(i,k,w),u=i,i=Hle(i,0,k),y=h.concat(p)):null!=r.validationSteps&&(g=!0);case 37:return I=a.concat(i).concat(f),this.checkTrainableWeightsConsistency(),N=this.makeTrainFunction(),S=this.getDedupedMetricsNames(),g?(this.makeTestFunction(),T=this.testFunction,E=S.slice().concat(S.map((function(e){return"val_"+e})))):(T=null,y=[],E=S.slice()),C=Uce(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(N,I,S,d,r.epochs,r.verbose,C,T,y,r.shuffle,E,r.initialEpoch,null,null);case 45:return A=e.sent,e.abrupt("return",A);case 47:return e.prev=47,this.isTraining=!1,Yle(a,t),Yle(i,n),Yle(s,t),Yle(u,n),Yle(h,c),Yle(p,l),null!=f&&t8(f),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])}))),function(e,t){return i.apply(this,arguments)})},{key:"fitLoop",value:(a=c(o().mark((function e(t,n,r,a,i,s,u,c,l,h,p,f,d,v){var m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==h&&(h=!0),null==f&&(f=0),m=!1,null!=c&&null!=l&&(m=!0),null==v){e.next=10;break}if(m=!0,null!=d){e.next=10;break}throw new mse("Can 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y=r[g],b=v[g];p[y]=b,n8(b)}if(h===u.length-1&&m)for(var x=N.testLoop(c,l,a),k=0;k<r.length;++k){var w=r[k],I=x[k];n8(I),i["val_"+w]=I}})),e.next=6,x.onBatchEnd(h,p);case 6:if(Lce(p),!N.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),f=0;case 16:if(!(f<u.length)){e.next=24;break}return e.delegateYield(p(f),"t0",18);case 18:if("break"!==e.t0){e.next=21;break}return e.abrupt("break",24);case 21:++f,e.next=16;break;case 24:s.dispose();case 25:return e.next=27,x.onEpochEnd(I,i);case 27:if(!N.stopTraining_){e.next=29;break}return e.abrupt("return","break");case 29:case"end":return e.stop()}}),e)})),I=f;case 21:if(!(I<i)){e.next=29;break}return e.delegateYield(w(),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++I,e.next=21;break;case 29:return e.next=31,x.onTrainEnd();case 31:return e.next=33,this.history.syncData();case 33:return e.abrupt("return",this.history);case 34:case"end":return e.stop()}}),e,this)}))),function(e,t,n,r,i,o,s,u,c,l,h,p,f,d){return a.apply(this,arguments)})},{key:"fitDataset",value:(r=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",zle(this,t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"trainOnBatch",value:(n=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],s=this.makeTrainFunction(),u=s(a.concat(i)),c=[],l=O(u),e.prev=9,l.s();case 11:if((h=l.n()).done){e.next=19;break}return p=h.value,e.next=15,p.data();case 15:f=e.sent,c.push(f[0]);case 17:e.next=11;break;case 19:e.next=24;break;case 21:e.prev=21,e.t0=e.catch(9),l.e(e.t0);case 24:return e.prev=24,l.f(),e.finish(24);case 27:return t8(u),Yle(r[0],t),Yle(r[1],n),e.abrupt("return",Ise(c));case 31:case"end":return e.stop()}}),e,this,[[9,21,24,27]])}))),function(e,t){return n.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:"stopTraining",get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}},{key:"dispose",value:function(){var e=N(v(m.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=$6().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-$6().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"==typeof this.loss)e=Sse(this.loss);else if(Array.isArray(this.loss)){var 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Rse(e,Mre.getMap().classNameMap,t,"regularizer")}function Mhe(e){return null==e?null:"string"==typeof e?Dhe({className:e in Ohe?Ohe[e]:e,config:{}}):e instanceof Rhe?e:Dhe(e)}var Lhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return p(n,[{key:"call",value:function(e,t){e=Que(e);var n=nte(e);return null!=this.maxValue&&(n=o7(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Lhe.className="ReLU",Lre(Lhe);var zhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(n,[{key:"call",value:function(e,t){var n=Que(e);return g9(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);zhe.className="LeakyReLU",Lre(zhe);var Phe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=Yue(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=Mhe(e.alphaRegularizer),r.alphaConstraint=Rce(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 mse("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return p(n,[{key:"build",value:function(e){var t=(e=$ue(e)).slice(1);if(null!=this.sharedAxes){var n,r=O(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(e){r.e(e)}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 ice({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=Que(e),hee(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:Xue(this.alphaInitializer),alphaRegularizer:Fhe(this.alphaRegularizer),alphaConstraint:Cce(this.alphaConstraint),sharedAxes:this.sharedAxes},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Phe.className="PReLU",Lre(Phe);var Bhe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 gse("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 p(n,[{key:"call",value:function(e,t){var n=Que(e);return z7(n)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Bhe.className="ELU",Lre(Bhe);var Whe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(n,[{key:"call",value:function(e,t){var n=Que(e);return c8(n,X6(h9(n,this.theta),"float32"))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={theta:this.theta},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Whe.className="ThresholdedReLU",Lre(Whe);var Vhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new whe).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return p(n,[{key:"call",value:function(e,t){var n=Que(e);return this.softmax(n,this.axis)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);function Uhe(e,t,n){if("number"==typeof e)return xse(e,t);if(e.length!==t)throw new mse("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 mse("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 Ghe(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 jhe(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+sue([n-t,0]);else{if("same"!==r)throw new mse("Unsupport padding mode: ".concat(r,"."));e*=t}return e}function Hhe(e,t){return e8((function(){return Yse(t),"channelsFirst"===t?rne(e,[0,2,3,1]):e}))}function qhe(e,t){return e8((function(){return Yse(t),"channelsFirst"===t?rne(e,[0,2,3,4,1]):e}))}function Khe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:1;return e8((function(){if(null==i&&(i="channelsLast"),Yse(i),3!==e.shape.length)throw new mse("The input of a conv1dWithBias operation should be 3, but is "+"".concat(e.shape.length," instead."));if(3!==t.shape.length)throw new mse("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 mse("The bias for a conv1dWithBias operation should be 1, but is "+"".concat(t.shape.length," instead"));if("channelsFirst"===i&&(e=rne(e,[0,2,1])),"causal"===a)throw new gse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=p7(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=Nue(s,n)),s}))}function Xhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:null;return e8((function(){if(null==i&&(i="channelsLast"),Yse(i),3!==e.rank&&4!==e.rank)throw new mse("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new mse("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=Hhe(e,i);if("causal"===a)throw new gse("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=bne({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=rne(u,[0,3,1,2])),u}))}function Yhe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return e8((function(){if(null==i&&(i="channelsLast"),Yse(i),4!==e.rank&&5!==e.rank)throw new mse("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new mse("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=qhe(e,i);if("causal"===a)throw new gse("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=v7(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=Nue(s,n)),"channelsFirst"===i&&(s=rne(s,[0,4,1,2,3])),s}))}Vhe.className="Softmax",Lre(Vhe);var Jhe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(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,Lse(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new gse("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=Uhe(r.kernelSize,e,"kernelSize"),a.strides=Uhe(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,Jse(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Yse(a.dataFormat),a.activation=Che(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Yue(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Rce(r.biasConstraint),a.biasRegularizer=Mhe(r.biasRegularizer),a.activityRegularizer=Mhe(r.activityRegularizer),a.dilationRate=Uhe(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new mse("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 mse("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 mse("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return p(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:The(this.activation),useBias:this.useBias,biasInitializer:Xue(this.biasInitializer),biasRegularizer:Fhe(this.biasRegularizer),activityRegularizer:Fhe(this.activityRegularizer),biasConstraint:Cce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(kse("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!Mse(e.kernelSize,"number",1,3))throw new mse("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(lce),Zhe=function(e){d(n,e);var t=w(n);function n(e,r){var a;return l(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,Lse(a.filters,"filters"),a.kernelInitializer=Yue(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Rce(r.kernelConstraint),a.kernelRegularizer=Mhe(r.kernelRegularizer),a}return p(n,[{key:"build",value:function(e){e=$ue(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new mse("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:f({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;e=Que(e);var r=null==n.bias?null:n.bias.read(),a=Pse(n.activation.getClassName());if(null!=a&&2===n.rank)t=Xhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=Khe(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=Xhe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new gse("convolutions greater than 3D are not implemented yet.");t=Yhe(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=$ue(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=Ghe(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:Xue(this.kernelInitializer),kernelRegularizer:Fhe(this.kernelRegularizer),kernelConstraint:Cce(this.kernelConstraint)},t=N(v(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 mse("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(Jhe),Qhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Mse(e.kernelSize,"number",1,2))throw new mse("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(Zhe);Qhe.className="Conv2D",Lre(Qhe);var $he=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(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 mse("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(Zhe);$he.className="Conv3D",Lre($he);var epe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new ice({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new mse("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(4!==(e=$ue(e)).length)throw new mse("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 mse("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 ice({ndim:4,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e);if(4!==t.shape.length)throw new mse("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],p=n.strides[1],f=[o,jhe(s,h,c,n.padding),jhe(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,1]));var d=d7(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=rne(d,[0,3,1,2])),null!=n.bias&&(d=Nue(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=$ue(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=jhe(a[n],s,i,this.padding),a[r]=jhe(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(Qhe);epe.className="Conv2DTranspose",Lre(epe);var tpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new ice({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new mse("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(5!==(e=$ue(e)).length)throw new mse("Input should have rank 5; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new mse("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 ice({ndim:5,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e);if(5!==t.shape.length)throw new mse("Conv3DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],c=o[r],l=o[a],h=n.kernelSize[0],p=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],v=n.strides[1],m=n.strides[2],g=[s,jhe(u,d,h,n.padding),jhe(c,v,p,n.padding),jhe(l,m,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=rne(t,[0,2,3,4,1]));var y=g7(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=rne(y,[0,4,1,2,3])),null!==n.bias&&(y=Nue(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a,i=(e=$ue(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],c=this.strides[0],l=this.strides[1],h=this.strides[2];return i[t]=this.filters,i[n]=jhe(i[n],c,o,this.padding),i[r]=jhe(i[r],l,s,this.padding),i[a]=jhe(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}($he);tpe.className="Conv3DTranspose",Lre(tpe);var npe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(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 mse("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new mse("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 mse("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=Yue(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=Mhe(r.depthwiseRegularizer),a.depthwiseConstraint=Rce(r.depthwiseConstraint),a.pointwiseInitializer=Yue(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=Mhe(r.pointwiseRegularizer),a.pointwiseConstraint=Rce(r.pointwiseConstraint),a}return p(n,[{key:"build",value:function(e){if((e=$ue(e)).length<this.rank+2)throw new mse("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 mse("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 ice({ndim:this.rank+2,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t;if(e=Que(e),1===n.rank)throw new gse("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=rne(e,[0,2,3,1])),t=pte(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Nue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=rne(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Xue(this.depthwiseInitializer),e.pointwiseInitializer=Xue(this.pointwiseInitializer),e.depthwiseRegularizer=Fhe(this.depthwiseRegularizer),e.pointwiseRegularizer=Fhe(this.pointwiseRegularizer),e.depthwiseConstraint=Cce(this.depthwiseConstraint),e.pointwiseConstraint=Cce(this.pointwiseConstraint),e}}]),n}(Zhe);npe.className="SeparableConv";var rpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,2,e)}return p(n)}(npe);rpe.className="SeparableConv2D",Lre(rpe);var ape=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Mse(e.kernelSize,"number",1,1))throw new mse("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(Zhe);ape.className="Conv1D",Lre(ape);var ipe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(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 e8((function(){if(e=Que(e),"channelsLast"===n.dataFormat){var t=vue(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return vue(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=vue(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return vue(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=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);ipe.className="Cropping2D",Lre(ipe);var ope=function(e){d(n,e);var t=w(n);function n(e){var r,a;return l(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,Yse(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,Dse(jse,"InterpolationFormat",a),r}return p(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 e8((function(){var t=Que(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=rne(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Are.resizeNearestNeighbor(t,[a,i]):Are.resizeBilinear(t,[a,i]);return rne(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Are.resizeNearestNeighbor(t,[s,u]):Are.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);ope.className="UpSampling2D",Lre(ope);var spe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=Yue(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Rce(e.depthwiseConstraint),r.depthwiseRegularizer=Mhe(e.depthwiseRegularizer),r}return p(n,[{key:"build",value:function(e){if((e=$ue(e)).length<4)throw new mse("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 mse("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 e8((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",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return e8((function(){null==a&&(a="channelsLast"),Yse(a);var o=Hhe(e,a);if(4!==e.rank)throw new mse("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new mse("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=N7(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}(e=Que(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=Nue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=$ue(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=Ghe(t,this.kernelSize[0],this.padding,this.strides[0]),i=Ghe(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=N(v(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Xue(this.depthwiseInitializer),e.depthwiseRegularizer=Fhe(this.depthwiseRegularizer),e.depthwiseConstraint=Cce(this.depthwiseRegularizer),e}}]),n}(Jhe);function upe(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new mse("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function cpe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return e8((function(){var u=t.shape.length;if(u<3)throw new mse("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(uue(2,u));if(t=rne(t,c),null!=i)throw new gse("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=X6(X6(a,"bool"),"float32")).rank===u-1&&(a=i9(a,-1)),a=rne(a,c)),r&&(t=ate(t,0),null!=a&&(a=ate(a,0)));var l,h,p=[],f=n,d=t.shape[0],v=Yte(t);null!=a&&(h=Yte(a));for(var m,g=function(t){var n=v[t],r=e8((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=e8((function(){var e=h[t],n=R9(nee(e),e);return{output:o8(c8(r[0],e),c8(f[0],n)),newStates:f.map((function(t,a){return o8(c8(r[1][a],e),c8(t,n))}))}}));l=i.output,f=i.newStates}s&&p.push(l)},y=0;y<d;++y)g(y);if(s){m=Rte(p,1)}return[l,m,f]}))}spe.className="DepthwiseConv2D",Lre(spe);var lpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;if(l(this,n),r=t.call(this,e),null==e.cell)throw new mse("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new ype({cells:e.cell}):e.cell).stateSize)throw new mse("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 ice({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return p(n,[{key:"getStates",value:function(){return null==this.states_?uue(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){Jue(e)&&(e=e[0]);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=O(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(e){o.e(e)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return e8((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:"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:"build",value:function(e){if(null!=this.numConstants)throw new gse("Constants support is not implemented in RNN yet.");Jue(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new ice({shape:[t,null].concat(T(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!P$(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new mse("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 ice({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];e8((function(){if(!t.stateful)throw new dse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new mse("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 H9([r,e])})):t.states_=[H9([r,t.cell.stateSize])];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return H9([r,e])})):t.states_[0]=H9([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new mse("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()):t8(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!P$(i.shape,s))throw new mse("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return n8(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=upe(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=O(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new ice({shape:l.shape}))}}catch(e){c.e(e)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof oce){var h=[e].concat(o),p=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=p;var d=N(v(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=f,d}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=Que(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 mse("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 s={training:a},u=cpe((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var p=n.returnSequences?l:c;return n.returnState?[p].concat(h):p}))}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=H9(e.shape);return n=hue(n=e9(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?yue(n,[1,e]):n})):t.cell.stateSize>1?[yue(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=N(v(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(Object.assign(Object.assign({},r),e),t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=Hce(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(lce);lpe.className="RNN",Lre(lpe);var hpe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n)}(lce),ppe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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,Lse(r.units,"units"),r.activation=Che(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Yue(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Yue(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Yue(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Mhe(e.kernelRegularizer),r.recurrentRegularizer=Mhe(e.recurrentRegularizer),r.biasRegularizer=Mhe(e.biasRegularizer),r.kernelConstraint=Rce(e.kernelConstraint),r.recurrentConstraint=Rce(e.recurrentConstraint),r.biasConstraint=Rce(e.biasConstraint),r.dropout=oue([1,sue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=oue([1,sue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){e=$ue(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 e8((function(){if(2!==e.length)throw new mse("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=bpe({ones:function(){return nee(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=bpe({ones:function(){return nee(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=xue(null!=o?c8(e,o):e,n.kernel.read()),null!=n.bias&&(a=Nue(a,n.bias.read())),null!=s&&(r=c8(r,s));var u=o8(a,xue(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:The(this.activation),useBias:this.useBias,kernelInitializer:Xue(this.kernelInitializer),recurrentInitializer:Xue(this.recurrentInitializer),biasInitializer:Xue(this.biasInitializer),kernelRegularizer:Fhe(this.kernelRegularizer),recurrentRegularizer:Fhe(this.recurrentRegularizer),biasRegularizer:Fhe(this.biasRegularizer),activityRegularizer:Fhe(this.activityRegularizer),kernelConstraint:Cce(this.kernelConstraint),recurrentConstraint:Cce(this.recurrentConstraint),biasConstraint:Cce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(hpe);ppe.className="SimpleRNNCell",Lre(ppe);var fpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),e.cell=new ppe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(lpe);fpe.className="SimpleRNN",Lre(fpe);var dpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 mse("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,Lse(r.units,"units"),r.activation=Che(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Che(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Yue(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Yue(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Yue(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Mhe(e.kernelRegularizer),r.recurrentRegularizer=Mhe(e.recurrentRegularizer),r.biasRegularizer=Mhe(e.biasRegularizer),r.kernelConstraint=Rce(e.kernelConstraint),r.recurrentConstraint=Rce(e.recurrentConstraint),r.biasConstraint=Rce(e.biasConstraint),r.dropout=oue([1,sue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=oue([1,sue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t=(e=$ue(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 e8((function(){if(2!==e.length)throw new mse("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=bpe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=bpe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,u[0]));var l=xue(e,n.kernel.read());n.useBias&&(l=Nue(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,c[0]));var h=n.recurrentKernel.read(),p=S(Tte(h,[2*n.units,n.units],h.rank-1),2),f=p[0],d=p[1],v=xue(a,f),m=S(Tte(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=S(Tte(v,2,v.rank-1),2),k=x[0],w=x[1];i=n.recurrentActivation.apply(o8(g,k)),o=n.recurrentActivation.apply(o8(y,w));var I=xue(c8(o,a),d);s=n.activation.apply(o8(b,I));var N=o8(c8(i,a),c8(o8(1,E9(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:The(this.activation),recurrentActivation:The(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xue(this.kernelInitializer),recurrentInitializer:Xue(this.recurrentInitializer),biasInitializer:Xue(this.biasInitializer),kernelRegularizer:Fhe(this.kernelRegularizer),recurrentRegularizer:Fhe(this.recurrentRegularizer),biasRegularizer:Fhe(this.biasRegularizer),activityRegularizer:Fhe(this.activityRegularizer),kernelConstraint:Cce(this.kernelConstraint),recurrentConstraint:Cce(this.recurrentConstraint),biasConstraint:Cce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(hpe);dpe.className="GRUCell",Lre(dpe);var vpe=function(e){d(n,e);var t=w(n);function n(e){return l(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 dpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(lpe);vpe.className="GRU",Lre(vpe);var mpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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,Lse(r.units,"units"),r.activation=Che(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Che(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=Yue(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=Yue(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=Yue(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=Mhe(e.kernelRegularizer),r.recurrentRegularizer=Mhe(e.recurrentRegularizer),r.biasRegularizer=Mhe(e.biasRegularizer),r.kernelConstraint=Rce(e.kernelConstraint),r.recurrentConstraint=Rce(e.recurrentConstraint),r.biasConstraint=Rce(e.biasConstraint),r.dropout=oue([1,sue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=oue([1,sue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t,n,r=(e=$ue(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new Oue).apply([i]),o=a.apply([2*i]);return gue(gue(n,r),o)}}]),n}(Rue),t.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 e8((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new mse("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=bpe({ones:function(){return nee(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=bpe({ones:function(){return nee(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=c8(e,l[0]));var p=xue(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=c8(a,h[0])),p=o8(p,xue(a,n.recurrentKernel.read())),n.useBias&&(p=Nue(p,n.bias.read()));var f=S(Tte(p,4,p.rank-1),4),d=f[0],v=f[1],m=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(v),u=o8(c8(s,i),c8(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=c8(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:The(this.activation),recurrentActivation:The(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xue(this.kernelInitializer),recurrentInitializer:Xue(this.recurrentInitializer),biasInitializer:Xue(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Fhe(this.kernelRegularizer),recurrentRegularizer:Fhe(this.recurrentRegularizer),biasRegularizer:Fhe(this.biasRegularizer),activityRegularizer:Fhe(this.activityRegularizer),kernelConstraint:Cce(this.kernelConstraint),recurrentConstraint:Cce(this.recurrentConstraint),biasConstraint:Cce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(hpe);mpe.className="LSTMCell",Lre(mpe);var gpe=function(e){d(n,e);var t=w(n);function n(e){return l(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 mpe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(lpe);gpe.className="LSTM",Lre(gpe);var ype=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).cells=e.cells,r}return p(n,[{key:"stateSize",get:function(){var e,t=[],n=O(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,T(r.stateSize)):t.push(r.stateSize)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a=e.slice(1),i=[],o=O(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(e){o.e(e)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var p,f=O(c.slice().reverse());try{for(f.s();!(p=f.n()).done;){var d,v=p.value;(d=a).push.apply(d,T(v))}}catch(e){f.e(e)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;Jue(e)&&(e=e[0]),this.cells.forEach((function(n,r){$se("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=N(v(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},e),t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.trainableWeights))}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.weights))}}catch(e){n.e(e)}finally{n.f()}return rce(t)}},{key:"setWeights",value:function(e){var t,n=[],r=O(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(e){r.e(e)}finally{r.f()}ace(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=O(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Hce(o,r))}}catch(e){i.e(e)}finally{i.f()}return new e({cells:a})}}]),n}(hpe);function bpe(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):Tue(t(),n)},c=function(){return Eue(u,t,a)};return!o||o<=1?n8(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return n8(e.clone())}))}ype.className="StackedRNNCells",Lre(ype);var xpe=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},kpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),e.unroll)throw new gse("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new gse("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new ice({ndim:5})],r}return p(n,[{key:"call",value:function(e,t){var r=this;return e8((function(){if(null!=r.cell.dropoutMask&&(t8(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(t8(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new mse("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(T(t.slice(2)))),this.returnState&&(t=[t].concat(T(Array(2).fill([e[0]].concat(T(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return e8((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=H9([a[0]].concat(T(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];e8((function(){if(!t.stateful)throw new dse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(T(a.slice(2)));if(null==r[0])throw new mse("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 H9(i)})):t.states_=[H9(i)];else if(null==e)t8(t.states_),null!=t.keptStates&&(t8(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return H9(i)})):t.states_[0]=H9(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new mse("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()):t8(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!P$(s.shape,u))throw new mse("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return n8(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,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=Ghe(c,a[0],i,o[0],s[0]),p=Ghe(l,a[1],i,o[1],s[1]);return[].concat(T(e.slice(0,2)),T(u?[r,h,p]:[h,p,r]))}}]),n}(lpe);kpe.className="ConvRNN2D";var wpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,Lse(r.filters,"filters"),r.kernelSize=Uhe(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return Lse(e,"kernelSize")})),r.strides=Uhe(o||1,2,"strides"),r.strides.forEach((function(e){return Lse(e,"strides")})),r.padding=s||"valid",Jse(r.padding),r.dataFormat=u||"channelsLast",Yse(r.dataFormat),r.dilationRate=Uhe(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return Lse(e,"dilationRate")})),r}return p(n,[{key:"build",value:function(e){var t;e=$ue(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new mse("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return mue([s.apply([u]),q9([u]),s.apply([2*u])])}}]),n}(Rue),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(3!==e.length)throw new mse("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=bpe({ones:function(){return nee(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?c8(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),p=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=bpe({ones:function(){return nee(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),v=u(i,f,1),m=u(i,f,2),g=u(i,f,3),y=S(Tte(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],w=y[3],I=S(n.useBias?Tte(n.bias.read(),4):[null,null,null,null],4),N=I[0],T=I[1],E=I[2],C=I[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,x,T,n.padding),h=n.inputConv(h,k,E,n.padding),p=n.inputConv(p,w,C,n.padding);var A=S(Tte(n.recurrentKernel.read(),4,3),4),R=A[0],_=A[1],O=A[2],F=A[3];d=n.recurrentConv(d,R),v=n.recurrentConv(v,_),m=n.recurrentConv(m,O),g=n.recurrentConv(g,F);var D=n.recurrentActivation.apply(o8(c,d)),M=n.recurrentActivation.apply(o8(l,v)),L=o8(c8(M,o),c8(D,n.activation.apply(o8(h,m)))),z=c8(n.recurrentActivation.apply(o8(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t=(e.units,xpe(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},t),r)}},{key:"inputConv",value:function(e,t,n,r){var a=h7(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Nue(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return h7(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(mpe);wpe.className="ConvLSTM2DCell",Lre(wpe);var Ipe=function(e){d(n,e);var t=w(n);function n(e){l(this,n);var r=new wpe(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return p(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(kpe);Ipe.className="ConvLSTM2D",Lre(Ipe);var Npe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(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 e8((function(){n.invokeCallHook(e,t);var r=Que(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return Eue((function(){return Tue(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=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return N(v(n.prototype),"dispose",this).call(this)}}]),n}(lce);Npe.className="Dropout",Lre(Npe);var Spe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return p(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(Npe);Spe.className="SpatialDropout1D",Lre(Spe);var Tpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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,Lse(r.units,"units"),r.activation=Che(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=Yue(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=Yue(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Rce(e.kernelConstraint),r.biasConstraint=Rce(e.biasConstraint),r.kernelRegularizer=Mhe(e.kernelRegularizer),r.biasRegularizer=Mhe(e.biasRegularizer),r.activityRegularizer=Mhe(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return p(n,[{key:"build",value:function(e){var t=(e=$ue(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:f({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=$ue(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r,a=Que(e),i=Pse(n.activation.getClassName());return null!=i?r=xue(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=xue(a,n.kernel.read()),null!=n.bias&&(r=Nue(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:The(this.activation),useBias:this.useBias,kernelInitializer:Xue(this.kernelInitializer),biasInitializer:Xue(this.biasInitializer),kernelRegularizer:Fhe(this.kernelRegularizer),biasRegularizer:Fhe(this.biasRegularizer),activityRegularizer:Fhe(this.activityRegularizer),kernelConstraint:Cce(this.kernelConstraint),biasConstraint:Cce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Tpe.className="Dense",Lre(Tpe);var Epe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n=O((e=$ue(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new mse('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(e){n.e(e)}finally{n.f()}return[e[0],iue(e,1)]}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=Que(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=rne(r,a)}return function(e){if(e.rank<=1)throw new mse("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],iue(e.shape,1)];return W8(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Epe.className="Flatten",Lre(Epe);var Cpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=Che(e.activation),r}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=Que(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:The(this.activation)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Cpe.className="Activation",Lre(Cpe);var Ape=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return e8((function(){return e=Que(e),t=e,r=n.n,e8((function(){if(2!==t.shape.length)throw new mse("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return yue(hue(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Ape.className="RepeatVector",Lre(Ape);var Rpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(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 p(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 s=r[o];if(this.isUnknown(s)){if(null!==i)throw new mse("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=iue(e);if(null!==i){if(0===a||u%a!=0)throw new mse(n);r[i]=u/a}else if(u!==a)throw new mse(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 e8((function(){n.invokeCallHook(e,t);var r=Que(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return W8(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Rpe.className="Reshape",Lre(Rpe);var _pe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 a=uue(1,e.dims.length+1);if(!P$(e.dims.slice().sort(),a))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 ice({ndim:r.dims.length+1})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=$ue(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return rne(Que(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);_pe.className="Permute",Lre(_pe);var Ope=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=Que(e);return v8(eee(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=Que(e),a=v8(eee(r,n.maskValue),-1,!0);return c8(r,X6(a,r.dtype))}))}}]),n}(lce);Ope.className="Masking",Lre(Ope);var Fpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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(Nse(e.inputLength))}return r.inputDim=e.inputDim,Lse(r.inputDim,"inputDim"),r.outputDim=e.outputDim,Lse(r.outputDim,"outputDim"),r.embeddingsInitializer=Yue(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=Mhe(e.embeddingsRegularizer),r.activityRegularizer=Mhe(e.activityRegularizer),r.embeddingsConstraint=Rce(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return p(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 e8((function(){return n.maskZero?(e=Que(e),eee(e,F7(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=$ue(e),null==this.inputLength)return[].concat(T(e),[this.outputDim]);var t=Nse(this.inputLength);if(t.length!==e.length-1)throw new mse('"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 mse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(T(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return e8((function(){n.invokeCallHook(e,t);var r=Que(e);"int32"!==r.dtype&&(r=lue(r,"int32"));var a=kue(n.embeddings.read(),W8(r,[r.size]));return W8(a,$ue(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Xue(this.embeddingsInitializer),embeddingsRegularizer:Fhe(this.embeddingsRegularizer),activityRegularizer:Fhe(this.activityRegularizer),embeddingsConstraint:Cce(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Fpe.className="Embedding",Lre(Fpe);var Dpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return p(n,[{key:"mergeFunction",value:function(e){throw new gse}},{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];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new mse("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=[$ue(e)]),e.length<2)throw new mse("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(e){r.e(e)}finally{r.f()}if((n=Ose(n)).length>1)throw new mse("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 s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===Ose(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return e8((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=sue(r),o=O(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=hue(s,1);t.push(s)}}catch(e){o.e(e)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=O(e);try{for(p.s();!(l=p.n()).done;){var f=l.value,d=f.rank;if(null==d){var v=f.shape,m=v[0],g=v.slice(1).concat([m]),y=W8(f,[m].concat(iue(v.slice(1))));y=rne(y,[1,0]),y=W8(y,g),t.push(y),h=!0}else if(d>1){var b=uue(1,d).concat([0]);t.push(rne(f,b)),h=!0}else t.push(f)}}catch(e){p.e(e)}finally{p.f()}var x=n.mergeFunction(t),k=x.rank;if(h)if(null==k){var w=x.shape,I=w[w.length-1],N=[I].concat(w.slice(0,w.length-1));x=W8(rne(W8(x,[-1,I]),[1,0]),N)}else if(k>1){var S=[k-1].concat(uue(0,k-1));x=rne(x,S)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==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=O(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(e){o.e(e)}finally{o.f()}return t=1===(i=Ose(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return e8((function(){if(null==t)return null;if(!Array.isArray(t))throw new mse("`mask` should be an Array");if(!Array.isArray(e))throw new mse("`inputs` should be an Array");if(t.length!==e.length)throw new mse("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:i9(e,0)})))[0],r=1;r<t.length-1;++r)n=F9(n,t[r]);return n}))}}]),n}(lce),Mpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return t}))}}]),n}(Dpe);Mpe.className="Add",Lre(Mpe);var Lpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=c8(t,e[n]);return t}))}}]),n}(Dpe);Lpe.className="Multiply",Lre(Lpe);var zpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=o8(t,e[n]);return c8(1/e.length,t)}))}}]),n}(Dpe);zpe.className="Average",Lre(zpe);var Ppe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=G9(t,e[n]);return t}))}}]),n}(Dpe);Ppe.className="Maximum",Lre(Ppe);var Bpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return e8((function(){for(var t=e[0],n=1;n<e.length;++n)t=X9(t,e[n]);return t}))}}]),n}(Dpe);Bpe.className="Minimum",Lre(Bpe);var Wpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new mse("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=O(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=O(a);try{for(c.s();!(s=c.n()).done;){if(P$(s.value,o)){u=!0;break}}}catch(e){c.e(e)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new mse("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 e8((function(){return mue(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new mse("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=O(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(e){i.e(e)}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 mse("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new mse("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new mse("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return e8((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(X6(nee(e[i]),"bool")):t[i].rank<e[i].rank?a.push(i9(t[i],-1)):a.push(t[i]);var o=G8(a,n.axis);return d8(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Dpe);function Vpe(e,t){for(;e<0;)e+=t;return e}Wpe.className="Concatenate",Lre(Wpe);var Upe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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 p(n,[{key:"build",value:function(e){F$(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 gse("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 mse("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new mse("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 Vpe(t,e[n].shape.length)})):[Vpe(this.axes,n.shape.length),Vpe(this.axes,r.shape.length)],this.normalize&&(n=qce(n,t[0]),r=qce(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new gse("batchDot is not implemented for tensors of 4D or higher rank yet");if(F$(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),F$(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 gse("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return e8((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=W8(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=W8(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e9(c8(e,t),i[0]):e9(c8(rne(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=j8(e,t,h,p)}if(n>0){for(var f,d=[],v=f=r>a?r+a-3:r-1;v<f+n;++v)d.push(v);o=Ate(o,d)}return 1===o.shape.length&&(o=i9(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[Vpe(this.axes,e.length),Vpe(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){F$(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 gse("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Dpe);Upe.className="Dot",Lre(Upe);var Gpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(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 e8((function(){n.invokeCallHook(e,t);var r=Que(e);return Eue((function(){return o8(bue(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(lce);Gpe.className="GaussianNoise",Lre(Gpe);var jpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(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 e8((function(){n.invokeCallHook(e,t);var r=Que(e);if(n.rate>0&&n.rate<1){return Eue((function(){var e=Math.sqrt(n.rate/(1-n.rate));return c8(r,bue(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(lce);jpe.className="GaussianDropout",Lre(jpe);var Hpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return p(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||Que(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(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 e8((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return Eue((function(){var t=Que(e),a=-1.7580993408473766,i=p9(Zee(r),n.rate);i=lue(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=o8(c8(t,i),c8(o8(i,-1),a));return o8(c8(u,o),s)}),(function(){return Que(e)}),t.training||!1)}return e}))}}]),n}(lce);function qpe(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=Z8(e,t,n,r,a,o);else if(3===e.rank)i=Q8(e,t,n,r,a,o);else{if(4!==e.rank)throw new gse("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=$8(e,t,n,r,a,o)}return i}function Kpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i=Z9(e,r),o=i.mean,s=i.variance;return[qpe(e,o,s,n,t,a),o,s]}))}function Xpe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return e8((function(){var i,o=Z9(e,r),s=o.mean,u=o.variance,c=[],l=O(uue(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(e){l.e(e)}finally{l.f()}var p=W8(s,c),f=W8(u,c),d=null==t?null:W8(t,c),v=null==n?null:W8(n,c);return[qpe(e,p,f,v,d,a),s,u]}))}Hpe.className="AlphaDropout",Lre(Hpe);var Ype=function(e){d(n,e);var t=w(n);function n(e){var r;return l(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=Yue(e.betaInitializer||"zeros"),r.gammaInitializer=Yue(e.gammaInitializer||"ones"),r.movingMeanInitializer=Yue(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=Yue(e.movingVarianceInitializer||"ones"),r.betaConstraint=Rce(e.betaConstraint),r.gammaConstraint=Rce(e.gammaConstraint),r.betaRegularizer=Mhe(e.betaRegularizer),r.gammaRegularizer=Mhe(e.gammaRegularizer),r}return p(n,[{key:"build",value:function(e){e=$ue(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new mse("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 ice({ndim:e.length,axes:f({},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 e8((function(){var r=null!=t.training&&t.training,a=Que(e),i=a.shape,o=i.length,s=uue(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=xse(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!P$(l,uue(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=W8(n.movingMean.read(),c),t=W8(n.movingVariance.read(),c),r=n.center?W8(n.beta.read(),c):null,i=n.scale?W8(n.gamma.read(),c):null;return qpe(a,e,t,r,i,n.epsilon)}return qpe(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var p=function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return P$(r.slice().sort(),uue(0,e.rank-1))?Kpe(e,t,n,r,a):Xpe(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=S(p,3),d=f[0],v=f[1],m=f[2],g=function(e,t,n){e8((function(){var r=1-n,a=e.read(),i=c8(R9(a,t),r);e.write(R9(a,i))}))};return g(n.movingMean,v,n.momentum),g(n.movingVariance,m,n.momentum),d}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xue(this.betaInitializer),gammaInitializer:Xue(this.gammaInitializer),movingMeanInitializer:Xue(this.movingMeanInitializer),movingVarianceInitializer:Xue(this.movingVarianceInitializer),betaRegularizer:Fhe(this.betaRegularizer),gammaRegularizer:Fhe(this.gammaRegularizer),betaConstraint:Cce(this.betaConstraint),gammaConstraint:Cce(this.gammaConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Ype.className="BatchNormalization",Lre(Ype);var Jpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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,i=O(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(e){i.e(e)}finally{i.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=Yue(e.betaInitializer||"zeros"),r.gammaInitializer=Yue(e.gammaInitializer||"ones"),r.betaRegularizer=Mhe(e.betaRegularizer),r.gammaRegularizer=Mhe(e.gammaRegularizer),r.supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){var t=(e=$ue(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=O(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(e){a.e(e)}finally{a.f()}if(this.axis.length!==Ose(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=Que(e),a=r.shape,i=a.length;return e8((function(){var e,t=Z9(r,n.axis,!0),o=t.mean,s=t.variance,u=xse(1,i),c=O(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(e){c.e(e)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?W8(e,u):e},p=n.scale?h(n.gamma.read()):null,f=n.center?h(n.beta.read()):null,d=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(d.push(a[m]),v.push(1)):(d.push(1),v.push(a[m]));return o=s9(o,d),s=s9(s,d),null!=p&&(p=s9(p,v)),null!=f&&(f=s9(f,v)),qpe(r,o,s,f,p,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xue(this.betaInitializer),gammaInitializer:Xue(this.gammaInitializer),betaRegularizer:Fhe(this.betaRegularizer),gammaRegularizer:Fhe(this.gammaRegularizer)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Jpe.className="LayerNormalization",Lre(Jpe);var Zpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 mse("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"==typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new mse("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 mse("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new ice({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=$ue(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 e8((function(){return t=Que(e),r=n.padding,a=n.dataFormat,e8((function(){if(4!==t.rank)throw new mse("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 mse("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new mse("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],aee(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);function Qpe(e,t,n,r,a,i){return e8((function(){var o;Yse(a),Zse(i),Jse(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Hhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?W9(e,t,n,s):V8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,3,1,2])),o}))}function $pe(e,t,n,r,a,i){return e8((function(){var o;Yse(a),Zse(i),Jse(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=qhe(e,a);var s="same"===r?"same":"valid";return o="max"===i?V9(e,t,n,s):U8(e,t,n,s),"channelsFirst"===a&&(o=rne(o,[0,4,1,2,3])),o}))}Zpe.className="ZeroPadding2D",Lre(Zpe);var efe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 mse("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(Lse(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 mse("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 Lse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,Jse(r.padding),r.inputSpec=[new ice({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=Ghe((e=$ue(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 e8((function(){n.invokeCallHook(e,t),e=hue(Que(e),2);var r=n.poolingFunction(Que(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Ate(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce),tfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),Qpe(e,t,n,r,a,"max")}}]),n}(efe);tfe.className="MaxPooling1D",Lre(tfe);var nfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),Qpe(e,t,n,r,a,"avg")}}]),n}(efe);nfe.className="AveragePooling1D",Lre(nfe);var rfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 mse("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 Lse(r.poolSize,"poolSize"),Lse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Yse(r.dataFormat),Jse(r.padding),r.inputSpec=[new ice({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=$ue(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Ghe(t,this.poolSize[0],this.padding,this.strides[0]),n=Ghe(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 e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(Que(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=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce),afe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),Qpe(e,t,n,r,a,"max")}}]),n}(rfe);afe.className="MaxPooling2D",Lre(afe);var ife=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),Qpe(e,t,n,r,a,"avg")}}]),n}(rfe);ife.className="AveragePooling2D",Lre(ife);var ofe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(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 mse("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 Lse(r.poolSize,"poolSize"),Lse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Yse(r.dataFormat),Jse(r.padding),r.inputSpec=[new ice({ndim:5})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=$ue(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=Ghe(t,this.poolSize[0],this.padding,this.strides[0]),n=Ghe(n,this.poolSize[1],this.padding,this.strides[1]),r=Ghe(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 e8((function(){return n.invokeCallHook(e,t),n.poolingFunction(Que(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=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce),sfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),$pe(e,t,n,r,a,"max")}}]),n}(ofe);sfe.className="MaxPooling3D",Lre(sfe);var ufe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return Yse(a),Jse(r),$pe(e,t,n,r,a,"avg")}}]),n}(ofe);ufe.className="AveragePooling3D",Lre(ufe);var cfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[new ice({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new gse}}]),n}(lce),lfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=Que(e);return j9(t,1)}))}}]),n}(cfe);lfe.className="GlobalAveragePooling1D",Lre(lfe);var hfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return e8((function(){var t=Que(e);return X7(t,1)}))}}]),n}(cfe);hfe.className="GlobalMaxPooling1D",Lre(hfe);var pfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Yse(r.dataFormat),r.inputSpec=[new ice({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new gse}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce),ffe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e);return"channelsLast"===n.dataFormat?j9(t,[1,2]):j9(t,[2,3])}))}}]),n}(pfe);ffe.className="GlobalAveragePooling2D",Lre(ffe);var dfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e);return"channelsLast"===n.dataFormat?X7(t,[1,2]):X7(t,[2,3])}))}}]),n}(pfe);dfe.className="GlobalMaxPooling2D",Lre(dfe);var vfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).layer=e.layer,r}return p(n,[{key:"build",value:function(e){this.built=!0}},{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:"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=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=Hce(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(lce),mfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){if((e=$ue(e)).length<3)throw new mse("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),N(v(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=$ue(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 e8((function(){return cpe((function(e,r){return[Que(n.layer.call(e,t)),[]]}),e=Que(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(vfe);mfe.className="TimeDistributed",Lre(mfe);var gfe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=Hce(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=Hce(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,Dse(Kse,"BidirectionalMergeMode",o),e.weights)throw new gse("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 p(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):Ise(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=upe(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return N(v(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new mse("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,T(r));var c=r.map((function(e){return new ice({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,T(c))}if(null!=a)throw new gse("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof oce,h=0,p=o;h<p.length;h++){if(p[h]instanceof oce!==l)throw new mse("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=N(v(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=m,g}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=ate(a,1)),"concat"===n.mergeMode?o=mue([r,a]):"sum"===n.mergeMode?o=o8(r,a):"ave"===n.mergeMode?o=c8(.5,o8(r,a)):"mul"===n.mergeMode?o=c8(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;$se(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),$se(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=Hce(t.layer);if(delete t.layer,null!=t.numConstants)throw new gse("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(vfe);gfe.className="Bidirectional",Lre(gfe);var yfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return p(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){return"float32"!==(e=Que(e)).dtype&&(e=lue(e,"float32")),o8(c8(e,n.scale),n.offset)}))}}]),n}(lce);yfe.className="Rescaling",Lre(yfe);var bfe=Are.resizeBilinear,xfe=Are.cropAndResize,kfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return p(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return e8((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=Rte([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var f=U5(h,[h.length,4]),d=$ee(0,h.length,1,"int32"),v=xfe(u,f,d,[r,a],"nearest");return lue(c?Que(Yte(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return e8((function(){return lue(bfe(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e),r=t.dtype,a=t.shape,i=a[a.length-3],o=a[a.length-2],s=0;i!==n.height&&(s=Math.floor((i-n.height)/2));var u=0;return o!==n.width&&0===(u=Math.floor((o-n.width)/2))&&(u=1),s>=0&&u>=0?n.centerCrop(t,s,u,n.height,n.width,i,o,r):n.upsize(e,n.height,n.width,r)}))}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=$ue(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(lce);kfe.className="CenterCrop",Lre(kfe);var wfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return p(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=$ue(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}},{key:"call",value:function(e,t){var n=this;return e8((function(){var r;if("int32"!==(e=Que(e)).dtype&&(e=lue(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new mse("countWeights is not used when outputMode !== count.\n Received countWeights=".concat(t.countWeights));r=Que(t.countWeights)}var a=X7(e),i=Y7(e),o=h9(n.numTokens,a).bufferSync().get(0),s=p9(i,0).bufferSync().get(0);if(!o||!s)throw new mse("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=Que(e);if("int32"!==a.dtype&&(a=lue(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=i9(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=i9(a,-1)),a.rank>2)throw new mse("When outputMode is not int, maximum output rank is 2"+" Received outputMode ".concat(t," and input shape ").concat(i)+" which would result in output rank ".concat(a.rank,"."));var o,s=["multiHot","oneHot"].includes(t);if(o=w7(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return c8(o,r);throw new mse("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(lce);wfe.className="CategoryEncoding",Lre(wfe);var Ife=new Set(["bilinear","nearest"]),Nfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!Ife.has(e.interpolation))throw new mse("Invalid interpolation parameter: ".concat(e.interpolation," is not implemented"));r.interpolation=e.interpolation}else r.interpolation="bilinear";return r.cropToAspectRatio=Boolean(e.cropToAspectRatio),r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=$ue(e))[2];return[this.height,this.width,t]}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return Are.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return Are.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(T(Ife)," are supported"))}))}}]),n}(lce);Nfe.className="Resizing",Lre(Nfe);var Sfe=function(){function e(t){l(this,e),this.seed=t}return p(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();Sfe.className="RandomSeed";var Tfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).randomGenerator=new Sfe(e.seed),r}return p(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(lce);Tfe.className="BaseRandomLayer";var Efe=new Set(["bilinear","nearest"]),Cfe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.factor,i=e.interpolation,o=void 0===i?"bilinear":i;if(r.factor=a,Array.isArray(r.factor)&&2===r.factor.length)r.widthLower=r.factor[0],r.widthUpper=r.factor[1];else{if(Array.isArray(r.factor)||!(r.factor>0))throw new mse("Invalid factor: ".concat(r.factor,". Must be positive number or tuple of 2 numbers"));r.widthLower=-r.factor,r.widthUpper=r.factor}if(r.widthLower<-1||r.widthUpper<-1)throw new mse("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new mse("factor cannot have upper bound less than lower bound.\n Got upper bound: ".concat(r.widthUpper,".\n Got lower bound: ").concat(r.widthLower,"\n "));if(o){if(!Efe.has(o))throw new mse("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return p(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=$ue(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return e8((function(){var t=Que(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=Zee([1],1+n.widthLower,1+n.widthUpper,"float32",n.randomGenerator.next());var a=n.widthFactor.dataSync()[0]*r;a=Math.round(a);var i=[n.imgHeight,a];switch(n.interpolation){case"bilinear":return Are.resizeBilinear(e,i);case"nearest":return Are.resizeNearestNeighbor(e,i);default:throw new Error("Interpolation is ".concat(n.interpolation,"\n but only ").concat(T(Efe)," are supported"))}}))}}]),n}(Tfe);function Afe(e){return new nfe(e)}function Rfe(e){return new ife(e)}function _fe(e){return new ufe(e)}function Ofe(e){return new hfe(e)}function Ffe(e){return new dfe(e)}function Dfe(e){return new tfe(e)}function Mfe(e){return new afe(e)}Cfe.className="RandomWidth",Lre(Cfe);var Lfe={__proto__:null,Layer:lce,RNN:lpe,RNNCell:hpe,activation:function(e){return new Cpe(e)},add:function(e){return new Mpe(e)},alphaDropout:function(e){return new Hpe(e)},average:function(e){return new zpe(e)},averagePooling1d:Afe,averagePooling2d:Rfe,averagePooling3d:_fe,avgPool1d:function(e){return Afe(e)},avgPool2d:function(e){return Rfe(e)},avgPool3d:function(e){return _fe(e)},avgPooling1d:function(e){return Afe(e)},avgPooling2d:function(e){return Rfe(e)},avgPooling3d:function(e){return _fe(e)},batchNormalization:function(e){return new Ype(e)},bidirectional:function(e){return new gfe(e)},categoryEncoding:function(e){return new wfe(e)},centerCrop:function(e){return new kfe(e)},concatenate:function(e){return new Wpe(e)},conv1d:function(e){return new ape(e)},conv2d:function(e){return new Qhe(e)},conv2dTranspose:function(e){return new epe(e)},conv3d:function(e){return new $he(e)},conv3dTranspose:function(e){return new tpe(e)},convLstm2d:function(e){return new Ipe(e)},convLstm2dCell:function(e){return new wpe(e)},cropping2D:function(e){return new ipe(e)},dense:function(e){return new Tpe(e)},depthwiseConv2d:function(e){return new spe(e)},dot:function(e){return new Upe(e)},dropout:function(e){return new Npe(e)},elu:function(e){return new Bhe(e)},embedding:function(e){return new Fpe(e)},flatten:function(e){return new Epe(e)},gaussianDropout:function(e){return new jpe(e)},gaussianNoise:function(e){return new Gpe(e)},globalAveragePooling1d:function(e){return new lfe(e)},globalAveragePooling2d:function(e){return new ffe(e)},globalMaxPool1d:Ofe,globalMaxPool2d:Ffe,globalMaxPooling1d:Ofe,globalMaxPooling2d:Ffe,gru:function(e){return new vpe(e)},gruCell:function(e){return new dpe(e)},input:lhe,inputLayer:function(e){return new pce(e)},layerNormalization:function(e){return new Jpe(e)},leakyReLU:function(e){return new zhe(e)},lstm:function(e){return new gpe(e)},lstmCell:function(e){return new mpe(e)},masking:function(e){return new Ope(e)},maxPool1d:Dfe,maxPool2d:Mfe,maxPooling1d:Dfe,maxPooling2d:Mfe,maxPooling3d:function(e){return new sfe(e)},maximum:function(e){return new Ppe(e)},minimum:function(e){return new Bpe(e)},multiply:function(e){return new Lpe(e)},permute:function(e){return new _pe(e)},prelu:function(e){return new Phe(e)},randomWidth:function(e){return new Cfe(e)},reLU:function(e){return new Lhe(e)},repeatVector:function(e){return new Ape(e)},rescaling:function(e){return new yfe(e)},reshape:function(e){return new Rpe(e)},resizing:function(e){return new Nfe(e)},rnn:function(e){return new lpe(e)},separableConv2d:function(e){return new rpe(e)},simpleRNN:function(e){return new fpe(e)},simpleRNNCell:function(e){return new ppe(e)},softmax:function(e){return new Vhe(e)},spatialDropout1d:function(e){return new Spe(e)},stackedRNNCells:function(e){return new ype(e)},thresholdedReLU:function(e){return new Whe(e)},timeDistributed:function(e){return new mfe(e)},upSampling2d:function(e){return new ope(e)},zeroPadding2d:function(e){return new Zpe(e)}};var zfe={__proto__:null,MAPE:function(e,t){return Yce(e,t)},MSE:function(e,t){return Kce(e,t)},binaryAccuracy:function(e,t){return ale(e,t)},binaryCrossentropy:function(e,t){return cle(e,t)},categoricalAccuracy:function(e,t){return ile(e,t)},categoricalCrossentropy:function(e,t){return hle(e,t)},cosineProximity:function(e,t){return tle(e,t)},mape:function(e,t){return Yce(e,t)},meanAbsoluteError:function(e,t){return Xce(e,t)},meanAbsolutePercentageError:function(e,t){return Yce(e,t)},meanSquaredError:function(e,t){return Kce(e,t)},mse:function(e,t){return Kce(e,t)},precision:function(e,t){return sle(e,t)},recall:function(e,t){return ule(e,t)},sparseCategoricalAccuracy:function(e,t){return lle(e,t)}},Pfe={__proto__:null,modelFromJSON:function(e,t){return ahe.apply(this,arguments)}};var Bfe={__proto__:null,l1:function(e){return Ahe(t=e),new _he({l1:null!=t?t.l1:null,l2:0});var t},l1l2:function(e){return new _he(e)},l2:function(e){return Ahe(t=e),new _he({l2:null!=t?t.l2:null,l1:0});var t}},Wfe=function(e){d(n,e);var t=w(n);function n(){var e;return l(this,n),(e=t.apply(this,arguments)).model=null,e}return p(n,[{key:"setModel",value:function(e){if(!(e instanceof nhe))throw new Error("model must be a LayersModel, not some other Container");this.model=e}}]),n}(zce);function Vfe(e,t){return e<t}function Ufe(e,t){return e>t}var Gfe=function(e){d(i,e);var t,n,r,a=w(i);function i(e){var t;if(l(this,i),t=a.call(this),null==e&&(e={}),e.restoreBestWeights)throw new gse("restoreBestWeights = True is not implemented in EarlyStopping yet.");return t.monitor=e.monitor||"val_loss",t.minDelta=Math.abs(e.minDelta||0),t.patience=e.patience||0,t.verbose=e.verbose||0,t.mode=e.mode||"auto",t.baseline=e.baseline,-1===["auto","min","max"].indexOf(t.mode)&&(console.warn("EarlyStopping mode '".concat(t.mode,"' is invalid. ")+"Falling back to mode 'auto'."),t.mode="auto"),"min"===t.mode?t.monitorFunc=Vfe:"max"===t.mode||-1!==t.monitor.indexOf("acc")?t.monitorFunc=Ufe:t.monitorFunc=Vfe,t.monitorFunc===Vfe&&(t.minDelta*=-1),t}return p(i,[{key:"onTrainBegin",value:(r=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===Vfe?1/0:-1/0;case 3:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"onEpochEnd",value:(n=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,Dce(n);case 2:if(null!=(r=this.getMonitorValue(n))){e.next=5;break}return e.abrupt("return");case 5:this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0));case 6:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"onTrainEnd",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.stoppedEpoch>0&&this.verbose&&console.log("Epoch ".concat(this.stoppedEpoch,": early stopping."));case 1:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getMonitorValue",value:function(e){null==e&&(e={});var t=e[this.monitor];return null==t&&console.warn("Metric for EarlyStopping ".concat(this.monitor," is not available. 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c="".concat(i,":").concat(u);t.inputNames[n]=c}}t.inputs.push(s),s.children.push(t)}))}));var s=e.ret;e.signature.outputArg.forEach((function(e){var t=S(Qfe(s[e.name]),2),n=t[0],r=t[1],i=a[n];null!=i&&(i.defaultOutput=r,o.push(i))}));var u=this.mapArgsToSignature(e);return{nodes:a,inputs:i,outputs:o,weights:r,placeholders:[],signature:u}}},{key:"mapArgsToSignature",value:function(e){var t=this;return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((function(e,n){return e[n.name]=t.mapArgToTensorInfo(n),e}),{}),outputs:e.signature.outputArg.reduce((function(n,r){return n[r.name]=t.mapArgToTensorInfo(r,e.ret),n}),{})}}},{key:"mapArgToTensorInfo",value:function(e,t){var n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}],[{key:"Instance",get:function(){return this._instance||(this._instance=new this)}}]),e}();function Ide(e,t){var n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){var t=k0().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function Nde(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return null!=a?Ide(a.s,r):n}function Sde(e,t,n){var r=e[t];return r?r.b:n}function Tde(e,t,n){var r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function Ede(e){switch("string"==typeof e&&(e=jfe[e]),e){case jfe.DT_FLOAT:case jfe.DT_HALF:return"float32";case jfe.DT_INT32:case jfe.DT_INT64:case jfe.DT_INT8:case jfe.DT_UINT8:return"int32";case jfe.DT_BOOL:return"bool";case jfe.DT_DOUBLE:return"float32";case jfe.DT_STRING:return"string";default:return null}}function Cde(e,t,n){var r=e[t];return r&&r.func?r.func.name:n}function Ade(e,t,n){var r=e[t];return r&&r.type?Ede(r.type):n}function Rde(e,t,n){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map((function(e){return Ede(e)})):n}function _de(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((function(e){return"number"==typeof 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Jfe(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return Jfe(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return Tde(this.node.rawAttrs,e,t);if(null!=n.s)return Nde(this.node.rawAttrs,e,t);if(null!=n.b)return Sde(this.node.rawAttrs,e,t);if(null!=n.shape)return Ode(this.node.rawAttrs,e,t);if(null!=n.type)return Ade(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return Fde(this.node.rawAttrs,e,t);if(null!=n.list.s)return Dde(this.node.rawAttrs,e,t);if(null!=n.list.shape)return Mde(this.node.rawAttrs,e,t);if(null!=n.list.b)return Lde(this.node.rawAttrs,e,t);if(null!=n.list.type)return Rde(this.node.rawAttrs,e,t)}return t}}]),e}(),Pde={__proto__:null,OP_SCOPE_SUFFIX:P5,abs:l8,acos:h8,acosh:p8,add:o8,addN:f8,all:d8,any:v8,argMax:m8,argMin:g8,asin:y8,asinh:b8,atan:x8,atan2:k8,atanh:w8,avgPool:V8,avgPool3d:U8,basicLSTMCell:X8,batchNorm:J8,batchNorm2d:Z8,batchNorm3d:Q8,batchNorm4d:$8,batchToSpaceND:Y8,bincount:e7,bitwiseAnd:t7,booleanMaskAsync:nne,broadcastArgs:n7,broadcastTo:r7,buffer:K6,cast:X6,ceil:a7,clipByValue:o7,clone:Y6,complex:W5,concat:G8,concat1d:s7,concat2d:u7,concat3d:c7,concat4d:l7,conv1d:p7,conv2d:h7,conv2dTranspose:d7,conv3d:v7,conv3dTranspose:g7,cos:y7,cosh:b7,cosineWindow:hne,cumprod:x7,cumsum:k7,denseBincount:w7,depthToSpace:I7,depthwiseConv2d:N7,diag:S7,dilation2d:T7,div:u8,divNoNan:D7,dot:M7,dropout:cne,einsum:L7,elu:z7,enclosingPowerOfTwo:lne,ensureShape:P7,equal:_7,erf:B7,euclideanNorm:r9,exp:a9,expandDims:i9,expm1:o9,eye:u9,fft:Ite,fill:i7,floor:c9,floorDiv:s8,fused:Nne,gather:l9,gatherND:une,greater:h9,greaterEqual:p9,ifft:Nte,imag:f9,image:Are,inTopKAsync:fne,irfft:Ste,isFinite:d9,isInf:v9,isNaN:m9,leakyRelu:g9,less:y9,lessEqual:b9,linalg:Rre,linspace:x9,localResponseNormalization:k9,log:w9,log1p:I9,logSigmoid:A9,logSoftmax:_9,logSumExp:O9,logicalAnd:F9,logicalNot:D9,logicalOr:M9,logicalXor:L9,losses:_re,lowerBound:B9,matMul:j8,max:X7,maxPool:W9,maxPool3d:V9,maxPoolWithArgmax:U9,maximum:G9,mean:j9,meshgrid:K9,min:Y7,minimum:X9,mirrorPad:Y9,mod:J9,moments:Z9,movingAverage:ane,mul:c8,multiRNNCell:Q9,multinomial:$9,neg:E9,norm:n9,notEqual:eee,oneHot:tee,ones:q9,onesLike:nee,op:B5,outerProduct:ree,pad:aee,pad1d:iee,pad2d:oee,pad3d:see,pad4d:uee,pool:lee,pow:J7,prelu:hee,print:J6,prod:pee,raggedGather:fee,raggedRange:dee,raggedTensorToTensor:vee,rand:mee,randomGamma:Xee,randomNormal:Yee,randomStandardNormal:Jee,randomUniform:Zee,randomUniformInt:Qee,range:$ee,real:ete,reciprocal:tte,relu:nte,relu6:rte,reshape:W8,reverse:ate,reverse1d:ite,reverse2d:ote,reverse3d:ste,reverse4d:ute,rfft:Ete,round:cte,rsqrt:lte,scalar:Z7,scatterND:ine,searchSorted:P9,selu:hte,separableConv2d:pte,setdiff1dAsync:dte,sigmoid:H8,sign:vte,signal:Cre,sin:mte,sinh:gte,slice:q8,slice1d:yte,slice2d:bte,slice3d:xte,slice4d:kte,softmax:wte,softplus:C9,spaceToBatchND:cee,sparse:Ore,sparseToDense:sne,spectral:Ere,split:Tte,sqrt:Q7,square:$7,squaredDifference:Cte,squeeze:Ate,stack:Rte,step:_te,stridedSlice:Ote,string:Fre,sub:R9,sum:e9,tan:Fte,tanh:K8,tensor:U5,tensor1d:Dte,tensor2d:Mte,tensor3d:Lte,tensor4d:zte,tensor5d:Pte,tensor6d:Bte,tensorScatterUpdate:jte,tile:s9,topk:Hte,transpose:rne,truncatedNormal:qte,unique:Kte,unsortedSegmentSum:Xte,unstack:Yte,upperBound:Jte,variable:Zte,where:O7,whereAsync:ene,zeros:H9,zerosLike:F7},Bde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"AddN":return[r.addN(Yfe("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Mul":return[r.mul(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"RealDiv":case"Div":return[r.div(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"DivNoNan":return[r.divNoNan(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"FloorDiv":return[r.floorDiv(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Sub":return[r.sub(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Minimum":return[r.minimum(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Maximum":return[r.maximum(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Pow":return[r.pow(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(Yfe("a",e,t,n),Yfe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Wde=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Abs":case"ComplexAbs":return[r.abs(Yfe("x",e,t,n))];case"Acos":return[r.acos(Yfe("x",e,t,n))];case"Acosh":return[r.acosh(Yfe("x",e,t,n))];case"Asin":return[r.asin(Yfe("x",e,t,n))];case"Asinh":return[r.asinh(Yfe("x",e,t,n))];case"Atan":return[r.atan(Yfe("x",e,t,n))];case"Atan2":return[r.atan2(Yfe("x",e,t,n),Yfe("y",e,t,n))];case"Atanh":return[r.atanh(Yfe("x",e,t,n))];case"Ceil":return[r.ceil(Yfe("x",e,t,n))];case"Complex":return[r.complex(Yfe("real",e,t,n),Yfe("imag",e,t,n))];case"Cos":return[r.cos(Yfe("x",e,t,n))];case"Cosh":return[r.cosh(Yfe("x",e,t,n))];case"Elu":return[r.elu(Yfe("x",e,t,n))];case"Erf":return[r.erf(Yfe("x",e,t,n))];case"Exp":return[r.exp(Yfe("x",e,t,n))];case"Expm1":return[r.expm1(Yfe("x",e,t,n))];case"Floor":return[r.floor(Yfe("x",e,t,n))];case"Log":return[r.log(Yfe("x",e,t,n))];case"Log1p":return[r.log1p(Yfe("x",e,t,n))];case"Imag":return[r.imag(Yfe("x",e,t,n))];case"Neg":return[r.neg(Yfe("x",e,t,n))];case"Reciprocal":return[r.reciprocal(Yfe("x",e,t,n))];case"Real":return[r.real(Yfe("x",e,t,n))];case"Relu":return[r.relu(Yfe("x",e,t,n))];case"Round":return[r.round(Yfe("x",e,t,n))];case"Selu":return[r.selu(Yfe("x",e,t,n))];case"Sigmoid":return[r.sigmoid(Yfe("x",e,t,n))];case"Sin":return[r.sin(Yfe("x",e,t,n))];case"Sign":return[r.sign(Yfe("x",e,t,n))];case"Sinh":return[r.sinh(Yfe("x",e,t,n))];case"Softplus":return[r.softplus(Yfe("x",e,t,n))];case"Sqrt":return[r.sqrt(Yfe("x",e,t,n))];case"Square":return[r.square(Yfe("x",e,t,n))];case"Tanh":return[r.tanh(Yfe("x",e,t,n))];case"Tan":return[r.tan(Yfe("x",e,t,n))];case"ClipByValue":return[r.clipByValue(Yfe("x",e,t,n),Yfe("clipValueMin",e,t,n),Yfe("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(Yfe("x",e,t,n))];case"Rsqrt":return[r.rsqrt(Jfe(e.inputNames[0],t,n))];case"LeakyRelu":return[r.leakyRelu(Yfe("x",e,t,n),Yfe("alpha",e,t,n))];case"Prelu":return[r.prelu(Yfe("x",e,t,n),Yfe("alpha",e,t,n))];case"IsNan":return[r.isNaN(Jfe(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(Jfe(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(Jfe(e.inputNames[0],t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function Vde(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!=typeof e&&"number"!=typeof t){F$(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];F$(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function Ude(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function Gde(e,t,n){var r=jde(e,n),a=!Ude(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=jde(e.shape,r)})),!Ude(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function jde(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. ").concat(t));for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: ".concat(e," vs. ").concat(t));n[r]=a>=0?a:i}return n}var Hde=function(){function e(t,n,r,a,i,o,s){l(this,e),this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.idTensor=Z7(0),n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"read",value:function(e){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||e>=this.size())throw new Error("Tried to read from index ".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),Vde(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,n8(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return U5([],[0].concat(this.elementShape));var r=this.readMany(e);return Vde(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Rte(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return U5([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return Vde(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),G8(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,T(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n," vs. ").concat(this.maxSize,")"));this.writeMany(e,Yte(t,0))}},{key:"split",value:function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ".concat(r,", and tensor's shape is: ").concat(t.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];e8((function(){t=W8(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,e[s],i];o[s]=W8(q8(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),qde=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;l(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Vde(n,e.shape,"TensorList shape mismatch: "),n8(e)})),this.idTensor=Z7(0),this.maxNumElements=a,n8(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(T(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));Vde(e,this.elementShape,"TensorList shape mismatch: ");var a=Gde(this.elementShape,this.tensors,e);return e8((function(){var e=n.tensors.map((function(e){return W8(e,a)}));return Rte(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=Gde(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,Vde(r.shape,e,"TensorList shape mismatch: "),W8(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(Vde(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");n8(e),this.tensors.push(e)}},{key:"resize",value:function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(t));if(-1!==this.maxNumElements&&t>this.maxNumElements)throw new Error("TensorListResize input size ".concat(t," is greater maxNumElement ").concat(this.maxNumElements,"."));var n=new e([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(var r=0;r<Math.min(this.tensors.length,t);++r)n.tensors[r]=this.tensors[r];return n}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));Vde(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=Gde(this.elementShape,this.tensors,t);return W8(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));Vde(this.elementShape,t.shape,"TensorList shape mismatch: "),n8(t),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));Vde(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=Gde(this.elementShape,this.tensors,n);return 0===e.length?U5([],[0].concat(a)):e8((function(){var t=e.map((function(e){return W8(r.tensors[e],a)}));return Rte(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));Vde(this.elementShape,t,"TensorList shape mismatch: ");var r=Gde(this.elementShape,this.tensors,t);return 0===this.size()?U5([],[0].concat(r)):e8((function(){var e=n.tensors.map((function(e){return W8(e,r)}));return G8(e,0)}))}}]),e}();function Kde(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));Vde(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=Yte(e);return new qde(a,t,r)}function Xde(e,t,n,r){return new qde([],e,t,r)}function Yde(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,T(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a," vs. ").concat(r,")"));var i=new qde([],n,e.dtype,r),o=Yte(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function Jde(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n tensor.shape[0], but sum of lengths is\n ".concat(r,", and tensor's shape is: ").concat(e.shape));for(var i=jde(e.shape.slice(1),n),o=0===r?0:e.size/r,s=e8((function(){var n=[];e=W8(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,t[s],o];n[s]=W8(q8(e,u,c),i)}return e.dispose(),n})),u=new qde([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var Zde=function(){var e=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z,P,B,W,V,U,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,fe,de,ve,me,ge,ye,be,xe,ke,we,Ie,Ne,Se,Te,Ee,Ce,Ae,Re,_e,Oe,Fe,De,Me,Le,ze,Pe,Be,We,Ve,Ue,Ge,je,He,qe,Ke,Xe,Ye,Je,Ze,Qe,$e,et,tt,nt,rt,at,it,ot;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?33:"Switch"===e.t0?35:"Merge"===e.t0?46:"Enter"===e.t0?51:"Exit"===e.t0?55:"NextIteration"===e.t0?58:"TensorArrayV3"===e.t0?61:"TensorArrayWriteV3"===e.t0?71:"TensorArrayReadV3"===e.t0?77:"TensorArrayGatherV3"===e.t0?81:"TensorArrayScatterV3"===e.t0?86:"TensorArrayConcatV3"===e.t0?92:"TensorArraySplitV3"===e.t0?96:"TensorArraySizeV3"===e.t0?102:"TensorArrayCloseV3"===e.t0?105:"TensorListSetItem"===e.t0?109:"TensorListGetItem"===e.t0?115:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?121:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?128:"TensorListGather"===e.t0?136:"TensorListStack"===e.t0?142:"TensorListFromTensor"===e.t0?148:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?154:"TensorListPushBack"===e.t0?159:"TensorListPopBack"===e.t0?164:"TensorListSplit"===e.t0?169:"TensorListLength"===e.t0?175:"TensorListResize"===e.t0?178:184;break;case 3:return a=Yfe("thenBranch",t,n,r),i=Yfe("elseBranch",t,n,r),s=Yfe("cond",t,n,r),u=Yfe("args",t,n,r),e.next=9,s.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 15:return c=Yfe("body",t,n,r),l=Yfe("cond",t,n,r),h=Yfe("args",t,n,r),e.next=20,r.functionMap[l].executeFunctionAsync(h,r.tensorArrayMap,r.tensorListMap);case 20:return p=e.sent,f=h.map((function(e){return e.id})),e.next=24,p[0].data();case 24:d=e.sent,p.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||e.dispose()})),v=h,m=o().mark((function e(){var t,n,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=v,e.next=3,r.functionMap[c].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 3:return v=e.sent,n=v.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[l].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 8:return a=e.sent,e.next=11,a[0].data();case 11:d=e.sent,a.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 28:if(!d[0]){e.next=32;break}return e.delegateYield(m(),"t1",30);case 30:e.next=28;break;case 32:return e.abrupt("return",v);case 33:return g=Yfe("pred",t,n,r),e.abrupt("return",[nde(g)]);case 35:return y=Yfe("pred",t,n,r),(b=Yfe("data",t,n,r)).kept||(b=nde(b)),e.next=40,y.data();case 40:if(!e.sent[0]){e.next=44;break}e.t2=[void 0,b],e.next=45;break;case 44:e.t2=[b,void 0];case 45:return e.abrupt("return",e.t2);case 46:if(x=t.inputNames.find((function(e){return void 0!==Jfe(e,n,r)})),!x){e.next=50;break}return k=Jfe(x,n,r),e.abrupt("return",[nde(k)]);case 50:return e.abrupt("return",void 0);case 51:return w=Yfe("frameName",t,n,r),I=Yfe("tensor",t,n,r),r.enterFrame(w),e.abrupt("return",[nde(I)]);case 55:return N=Yfe("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[nde(N)]);case 58:return S=Yfe("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[nde(S)]);case 61:return T=Yfe("size",t,n,r),E=Yfe("dtype",t,n,r),C=Yfe("elementShape",t,n,r),A=Yfe("dynamicSize",t,n,r),R=Yfe("clearAfterRead",t,n,r),_=Yfe("identicalElementShapes",t,n,r),O=Yfe("name",t,n,r),F=new Hde(O,E,T,C,_,A,R),r.addTensorArray(F),e.abrupt("return",[F.idTensor,Z7(1)]);case 71:return D=Yfe("tensorArrayId",t,n,r),M=Yfe("index",t,n,r),L=Yfe("tensor",t,n,r),(z=r.getTensorArray(D.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=Yfe("tensorArrayId",t,n,r),B=Yfe("index",t,n,r),W=r.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return V=Yfe("tensorArrayId",t,n,r),U=Yfe("indices",t,n,r),G=Yfe("dtype",t,n,r),j=r.getTensorArray(V.id),e.abrupt("return",[j.gather(U,G)]);case 86:return H=Yfe("tensorArrayId",t,n,r),q=Yfe("indices",t,n,r),K=Yfe("tensor",t,n,r),(X=r.getTensorArray(H.id)).scatter(q,K),e.abrupt("return",[X.idTensor]);case 92:return Y=Yfe("tensorArrayId",t,n,r),J=r.getTensorArray(Y.id),Z=Yfe("dtype",t,n,r),e.abrupt("return",[J.concat(Z)]);case 96:return Q=Yfe("tensorArrayId",t,n,r),$=Yfe("tensor",t,n,r),ee=Yfe("lengths",t,n,r),(te=r.getTensorArray(Q.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=Yfe("tensorArrayId",t,n,r),re=r.getTensorArray(ne.id),e.abrupt("return",[Z7(re.size(),"int32")]);case 105:return ae=Yfe("tensorArrayId",t,n,r),(ie=r.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=Yfe("tensorListId",t,n,r),se=Yfe("index",t,n,r),ue=Yfe("tensor",t,n,r),(ce=r.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=Yfe("tensorListId",t,n,r),he=Yfe("index",t,n,r),pe=Yfe("elementShape",t,n,r),fe=Yfe("elementDType",t,n,r),de=r.getTensorList(le.id),e.abrupt("return",[de.getItem(he,pe,fe)]);case 121:return ve=Yfe("indices",t,n,r),me=Yfe("tensor",t,n,r),ge=Yfe("elementShape",t,n,r),ye=Yfe("numElements",t,n,r),be=Yde(me,ve,ge,ye),r.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return xe=Yfe("elementShape",t,n,r),ke=Yfe("elementDType",t,n,r),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Ie=Yfe(we,t,n,r),Ne="TensorListReserve"===t.op?-1:Ie,Se=Xde(xe,ke,0,Ne),r.addTensorList(Se),e.abrupt("return",[Se.idTensor]);case 136:return Te=Yfe("tensorListId",t,n,r),Ee=Yfe("indices",t,n,r),Ce=Yfe("elementShape",t,n,r),Ae=Yfe("elementDType",t,n,r),Re=r.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ee,Ae,Ce)]);case 142:return _e=Yfe("tensorListId",t,n,r),Oe=Yfe("elementShape",t,n,r),Fe=Yfe("elementDType",t,n,r),De=Yfe("numElements",t,n,r),Me=r.getTensorList(_e.id),e.abrupt("return",[Me.stack(Oe,Fe,De)]);case 148:return Le=Yfe("tensor",t,n,r),ze=Yfe("elementShape",t,n,r),Pe=Yfe("elementDType",t,n,r),Be=Kde(Le,ze,Pe),r.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=Yfe("tensorListId",t,n,r),Ve=r.getTensorList(We.id),Ue=Yfe("dtype",t,n,r),Ge=Yfe("elementShape",t,n,r),e.abrupt("return",[Ve.concat(Ue,Ge)]);case 159:return je=Yfe("tensorListId",t,n,r),He=Yfe("tensor",t,n,r),(qe=r.getTensorList(je.id)).pushBack(He),e.abrupt("return",[qe.idTensor]);case 164:return Ke=Yfe("tensorListId",t,n,r),Xe=Yfe("elementShape",t,n,r),Ye=Yfe("elementDType",t,n,r),Je=r.getTensorList(Ke.id),e.abrupt("return",[Je.popBack(Xe,Ye)]);case 169:return Ze=Yfe("tensor",t,n,r),Qe=Yfe("elementShape",t,n,r),$e=Yfe("lengths",t,n,r),et=Jde(Ze,$e,Qe),r.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=Yfe("tensorListId",t,n,r),nt=r.getTensorList(tt.id),e.abrupt("return",[Z7(nt.size(),"int32")]);case 178:return rt=Yfe("tensorListId",t,n,r),at=Yfe("size",t,n,r),it=r.getTensorList(rt.id),ot=it.resize(at),r.addTensorList(ot),e.abrupt("return",[ot.idTensor]);case 184:throw TypeError("Node type ".concat(t.op," is not implemented"));case 185:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function Qde(e,t,n){var r=S(Yfe("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=Yfe("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var h=Yfe("strides",e,t,n),p=tde(e,t,n),f=Yfe("dataFormat",e,t,n).toUpperCase(),d=Yfe("dilations",e,t,n),v=S(Yfe("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:p,dataFormat:f,dilations:d,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:Yfe("leakyreluAlpha",e,t,n)}}var $de=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Conv1D":var a=Yfe("stride",e,t,n),i=Yfe("pad",e,t,n),o=Yfe("dataFormat",e,t,n).toUpperCase(),s=Yfe("dilation",e,t,n);return[r.conv1d(Yfe("x",e,t,n),Yfe("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=Yfe("strides",e,t,n),c=tde(e,t,n),l=Yfe("dataFormat",e,t,n).toUpperCase(),h=Yfe("dilations",e,t,n);return[r.conv2d(Yfe("x",e,t,n),Yfe("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=Qde(e,t,n),f=p.stride,d=p.pad,v=p.dataFormat,m=p.dilations,g=p.biasArg,y=p.preluArg,b=p.activationFunc,x=p.leakyreluAlpha;return[r.fused.conv2d({x:Yfe("x",e,t,n),filter:Yfe("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:v,dilations:[m[1],m[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var k=Qde(e,t,n),w=k.stride,I=k.pad,N=k.dataFormat,S=k.dilations,T=k.biasArg,E=k.preluArg,C=k.activationFunc,A=k.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:Yfe("x",e,t,n),filter:Yfe("filter",e,t,n),strides:[w[1],w[2]],pad:I,dataFormat:N,dilations:[S[1],S[2]],bias:T,activation:C,preluActivationWeights:E,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=Yfe("outputShape",e,t,n),_=Yfe("strides",e,t,n),O=tde(e,t,n);return[r.conv2dTranspose(Yfe("x",e,t,n),Yfe("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=Yfe("strides",e,t,n),D=tde(e,t,n),M=Yfe("dilations",e,t,n),L=Yfe("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(Yfe("input",e,t,n),Yfe("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=Yfe("strides",e,t,n),P=Yfe("pad",e,t,n),B=Yfe("dataFormat",e,t,n).toUpperCase(),W=Yfe("dilations",e,t,n);return[r.conv3d(Yfe("x",e,t,n),Yfe("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=Yfe("strides",e,t,n),U=Yfe("pad",e,t,n),G=Yfe("kernelSize",e,t,n);return[r.avgPool(Yfe("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=Yfe("strides",e,t,n),H=Yfe("pad",e,t,n),q=Yfe("kernelSize",e,t,n);return[r.maxPool(Yfe("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=Yfe("strides",e,t,n),X=Yfe("pad",e,t,n),Y=Yfe("kernelSize",e,t,n),J=Yfe("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(Yfe("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J),Q=Z.result,$=Z.indexes;return[Q,$];case"AvgPool3D":var ee=Yfe("strides",e,t,n),te=Yfe("pad",e,t,n),ne=Yfe("kernelSize",e,t,n);return[r.avgPool3d(Yfe("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"MaxPool3D":var re=Yfe("strides",e,t,n),ae=Yfe("pad",e,t,n),ie=Yfe("kernelSize",e,t,n);return[r.maxPool3d(Yfe("x",e,t,n),[ie[1],ie[2],ie[3]],[re[1],re[2],re[3]],ae)];case"Dilation2D":var oe=Yfe("strides",e,t,n),se=Yfe("pad",e,t,n),ue=Yfe("dilations",e,t,n),ce=oe[1],le=oe[2],he=ue[1],pe=ue[2];return[r.dilation2d(Yfe("x",e,t,n),Yfe("filter",e,t,n),[ce,le],se,[he,pe],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},eve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Fill":var a=Yfe("shape",e,t,n),i=Yfe("dtype",e,t,n),o=Yfe("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=Yfe("start",e,t,n),u=Yfe("stop",e,t,n),c=Yfe("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=Yfe("logits",e,t,n),h=Yfe("numSamples",e,t,n),p=Yfe("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var f=Yfe("indices",e,t,n),d=Yfe("depth",e,t,n),v=Yfe("onValue",e,t,n),m=Yfe("offValue",e,t,n),g=Yfe("dtype",e,t,n);return[r.oneHot(f,d,v,m,g)];case"Ones":return[r.ones(Yfe("shape",e,t,n),Yfe("dtype",e,t,n))];case"OnesLike":return[r.onesLike(Yfe("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(Yfe("shape",e,t,n),Yfe("dtype",e,t,n),Yfe("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(Yfe("shape",e,t,n),Yfe("minval",e,t,n),Yfe("maxval",e,t,n),Yfe("dtype",e,t,n))];case"RandomUniformInt":return[r.randomUniformInt(Yfe("shape",e,t,n),Yfe("minval",e,t,n),Yfe("maxval",e,t,n),Yfe("seed",e,t,n))];case"Range":var y=Yfe("start",e,t,n),b=Yfe("stop",e,t,n),x=Yfe("step",e,t,n);return[r.range(y,b,x,Yfe("dtype",e,t,n))];case"TruncatedNormal":var k=Yfe("shape",e,t,n),w=Yfe("mean",e,t,n),I=Yfe("stdDev",e,t,n),N=Yfe("seed",e,t,n);return[r.truncatedNormal(k,w,I,Yfe("dtype",e,t,n),N)];case"Zeros":return[r.zeros(Yfe("shape",e,t,n),Yfe("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(Yfe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function tve(e,t,n){return{boxes:Yfe("boxes",e,t,n),scores:Yfe("scores",e,t,n),maxOutputSize:Yfe("maxOutputSize",e,t,n),iouThreshold:Yfe("iouThreshold",e,t,n),scoreThreshold:Yfe("scoreThreshold",e,t,n),softNmsSigma:Yfe("softNmsSigma",e,t,n)}}var nve=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=_.length>4&&void 0!==_[4]?_[4]:Pde,e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return s=tve(t,n,r),u=s.boxes,c=s.scores,l=s.maxOutputSize,h=s.iouThreshold,p=s.scoreThreshold,f=s.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(u,c,l,h,p,f);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return v=tve(t,n,r),m=v.boxes,g=v.scores,y=v.maxOutputSize,b=v.iouThreshold,x=v.scoreThreshold,k=Yfe("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,g,y,b,x,k);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return I=tve(t,n,r),N=I.boxes,S=I.scores,T=I.maxOutputSize,E=I.iouThreshold,C=I.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,S,T,E,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return A=i.cast(Yfe("condition",t,n,r),"bool"),e.next=23,i.whereAsync(A);case 23:return e.t2=e.sent,R=[e.t2],A.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",i.setdiff1dAsync(Yfe("x",t,n,r),Yfe("y",t,n,r)));case 28:throw TypeError("Node type ".concat(t.op," is not implemented"));case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),rve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"LowerBound":var a=Yfe("sortedSequence",e,t,n),i=Yfe("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=Yfe("x",e,t,n),s=Yfe("k",e,t,n),u=Yfe("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=Yfe("sortedSequence",e,t,n),h=Yfe("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=Yfe("x",e,t,n),f=r.unique(p);return[f.values,f.indices];case"UniqueV2":var d=Yfe("x",e,t,n),v=Yfe("axis",e,t,n),m=r.unique(d,v);return[m.values,m.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},ave=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=Yfe("default",e,t,n);return[Jfe(e.name,t,n)||a];case"Placeholder":return[Jfe(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":var i=Yfe("x",e,t,n);return[nde(i)];case"IdentityN":return Yfe("x",e,t,n).map((function(e){return nde(e)}));case"Snapshot":var o=Yfe("x",e,t,n);return[nde(o)];case"Shape":return[r.tensor1d(Yfe("x",e,t,n).shape,"int32")];case"ShapeN":return Yfe("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(Yfe("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(Yfe("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var s=Yfe("x",e,t,n),u=Yfe("data",e,t,n),c=Yfe("message",e,t,n),l=Yfe("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var h=0;h<u.length;h++)console.log(Array.prototype.slice.call(u[h].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},ive=function(){function e(t,n){l(this,e),this.keyDType=t,this.valueDType=n,this.handle=Z7(0),this.tensorMap=new Map,n8(this.handle)}var t,n;return p(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return Z7(this.size(),"int32")}},{key:"import",value:(n=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",e8((function(){var e=Yte(n),t=r.length,i=e.length;F$(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];n8(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"find",value:(t=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",e8((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return Rte(e)})));case 5:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),ove=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return s=Yfe("keyDType",t,n,r),u=Yfe("valueDType",t,n,r),c=new ive(s,u),a.addHashTable(t.name,c),e.abrupt("return",[c.handle]);case 13:return l=Yfe("tableHandle",t,n,r,a),h=Yfe("keys",t,n,r),p=Yfe("values",t,n,r),f=a.getHashTableById(l.id),e.next=19,f.import(h,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return d=Yfe("tableHandle",t,n,r,a),v=Yfe("keys",t,n,r),m=Yfe("defaultValue",t,n,r),g=a.getHashTableById(d.id),e.next=27,g.find(v,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return y=Yfe("tableHandle",t,n,r,a),b=a.getHashTableById(y.id),e.abrupt("return",[b.tensorSize()]);case 32:throw TypeError("Node type ".concat(t.op," is not implemented"));case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),sve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"ResizeBilinear":var a=Yfe("images",e,t,n),i=Yfe("size",e,t,n),o=Yfe("alignCorners",e,t,n),s=Yfe("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=Yfe("images",e,t,n),c=Yfe("size",e,t,n),l=Yfe("alignCorners",e,t,n),h=Yfe("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=Yfe("image",e,t,n),f=Yfe("boxes",e,t,n),d=Yfe("boxInd",e,t,n),v=Yfe("cropSize",e,t,n),m=Yfe("method",e,t,n),g=Yfe("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,f,d,v,m,g)];case"ImageProjectiveTransformV3":var y=Yfe("images",e,t,n),b=Yfe("transforms",e,t,n),x=Yfe("outputShape",e,t,n),k=Yfe("fillValue",e,t,n),w=Yfe("interpolation",e,t,n),I=Yfe("fillMode",e,t,n);return[r.image.transform(y,b,w.toLowerCase(),I.toLowerCase(),k,x)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},uve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Equal":return[r.equal(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"NotEqual":return[r.notEqual(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Greater":return[r.greater(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Less":return[r.less(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"LessEqual":return[r.lessEqual(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"LogicalNot":return[r.logicalNot(Yfe("a",e,t,n))];case"LogicalOr":return[r.logicalOr(Yfe("a",e,t,n),Yfe("b",e,t,n))];case"Select":case"SelectV2":return[r.where(Yfe("condition",e,t,n),Yfe("a",e,t,n),Yfe("b",e,t,n))];case"BitwiseAnd":return[r.bitwiseAnd(Yfe("a",e,t,n),Yfe("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},cve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(Yfe("a",e,t,n),Yfe("b",e,t,n),Yfe("transposeA",e,t,n),Yfe("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[Yfe("equation",e,t,n)].concat(T(Yfe("tensors",e,t,n))))];case"Transpose":return[r.transpose(Yfe("x",e,t,n),Yfe("perm",e,t,n))];case"_FusedMatMul":var a=Yfe("fusedOps",e,t,n),i=S(a,2),o=i[0],s=i[1],u="biasadd"===o,c="prelu"===s,l=Yfe("numArgs",e,t,n),h=Yfe("leakyreluAlpha",e,t,n);if(u){if(c&&2!==l)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==l)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var p=Yfe("args",e,t,n),f=S(p,2),d=f[0],v=f[1];return[r.fused.matMul({a:Yfe("a",e,t,n),b:Yfe("b",e,t,n),transposeA:Yfe("transposeA",e,t,n),transposeB:Yfe("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:v,leakyreluAlpha:h})];case"MatrixBandPart":return[r.linalg.bandPart(Yfe("a",e,t,n),Yfe("numLower",e,t,n),Yfe("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},lve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm(Yfe("x",e,t,n),Yfe("axis",e,t,n),Yfe("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(Yfe("x",e,t,n),Yfe("mean",e,t,n),Yfe("variance",e,t,n),Yfe("offset",e,t,n),Yfe("scale",e,t,n),Yfe("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(Yfe("x",e,t,n),Yfe("radius",e,t,n),Yfe("bias",e,t,n),Yfe("alpha",e,t,n),Yfe("beta",e,t,n))];case"Softmax":return[r.softmax(Yfe("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(Yfe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},hve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"RaggedGather":var a=r.raggedGather(Yfe("paramsNestedSplits",e,t,n),Yfe("paramsDenseValues",e,t,n),Yfe("indices",e,t,n),Yfe("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(Yfe("starts",e,t,n),Yfe("limits",e,t,n),Yfe("splits",e,t,n)),u=s.rtNestedSplits,c=s.rtDenseValues;return[u,c];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(Yfe("shape",e,t,n),Yfe("values",e,t,n),Yfe("defaultValue",e,t,n),Yfe("rowPartitionTensors",e,t,n),Yfe("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},pve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Max":var a=Yfe("axis",e,t,n),i=Yfe("keepDims",e,t,n);return[r.max(Yfe("x",e,t,n),a,i)];case"Mean":var o=Yfe("axis",e,t,n),s=Yfe("keepDims",e,t,n);return[r.mean(Yfe("x",e,t,n),o,s)];case"Min":var u=Yfe("axis",e,t,n),c=Yfe("keepDims",e,t,n);return[r.min(Yfe("x",e,t,n),u,c)];case"Sum":var l=Yfe("axis",e,t,n),h=Yfe("keepDims",e,t,n);return[r.sum(Yfe("x",e,t,n),l,h)];case"All":var p=Yfe("axis",e,t,n),f=Yfe("keepDims",e,t,n);return[r.all(Yfe("x",e,t,n),p,f)];case"Any":var d=Yfe("axis",e,t,n),v=Yfe("keepDims",e,t,n);return[r.any(Yfe("x",e,t,n),d,v)];case"ArgMax":var m=Yfe("axis",e,t,n);return[r.argMax(Yfe("x",e,t,n),m)];case"ArgMin":var g=Yfe("axis",e,t,n);return[r.argMin(Yfe("x",e,t,n),g)];case"Prod":var y=Yfe("axis",e,t,n),b=Yfe("keepDims",e,t,n);return[r.prod(Yfe("x",e,t,n),y,b)];case"Cumprod":var x=Yfe("axis",e,t,n),k=Yfe("exclusive",e,t,n),w=Yfe("reverse",e,t,n);return[r.cumprod(Yfe("x",e,t,n),x,k,w)];case"Cumsum":var I=Yfe("axis",e,t,n),N=Yfe("exclusive",e,t,n),S=Yfe("reverse",e,t,n);return[r.cumsum(Yfe("x",e,t,n),I,N,S)];case"Bincount":var T=Yfe("x",e,t,n),E=Yfe("weights",e,t,n),C=Yfe("size",e,t,n);return[r.bincount(T,E,C)];case"DenseBincount":var A=Yfe("x",e,t,n),R=Yfe("weights",e,t,n),_=Yfe("size",e,t,n),O=Yfe("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},fve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"ConcatV2":case"Concat":var a=Yfe("n",e,t,n),i=Yfe("axis",e,t,n),o=Yfe("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=Yfe("x",e,t,n),u=Yfe("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=Yfe("axis",e,t,n),l=Yfe("batchDims",e,t,n),h=Yfe("x",e,t,n),p=Yfe("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var f=Yfe("dims",e,t,n),d=[],v=0;v<f.length;v++)f[v]&&d.push(v);var m=Yfe("x",e,t,n);return[r.reverse(m,d)];case"ReverseV2":var g=Yfe("axis",e,t,n),y=Yfe("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=Yfe("begin",e,t,n),x=Yfe("size",e,t,n);return[r.slice(Yfe("x",e,t,n),b,x)];case"StridedSlice":var k=Yfe("begin",e,t,n),w=Yfe("end",e,t,n),I=Yfe("strides",e,t,n),N=Yfe("beginMask",e,t,n),S=Yfe("endMask",e,t,n),T=Yfe("ellipsisMask",e,t,n),E=Yfe("newAxisMask",e,t,n),C=Yfe("shrinkAxisMask",e,t,n),A=Yfe("x",e,t,n);return[r.stridedSlice(A,k,w,I,N,S,T,E,C)];case"Pack":return e8((function(){var a=Yfe("axis",e,t,n),i=Yfe("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=P$(e.shape,o);if(!t&&!P$(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var R=Yfe("axis",e,t,n),_=Yfe("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=Yfe("reps",e,t,n);return[r.tile(Yfe("x",e,t,n),O)];case"Split":case"SplitV":var F=Yfe("axis",e,t,n),D=Yfe("numOrSizeSplits",e,t,n),M=Yfe("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=Yfe("indices",e,t,n),z=Yfe("values",e,t,n),P=Yfe("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=Yfe("x",e,t,n),W=Yfe("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=Yfe("sparseIndices",e,t,n),U=Yfe("outputShape",e,t,n),G=Yfe("sparseValues",e,t,n),j=Yfe("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=Yfe("indices",e,t,n),q=Yfe("values",e,t,n),K=Yfe("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},dve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(Yfe("indices",e,t,n),Yfe("values",e,t,n),Yfe("denseShape",e,t,n),Yfe("defaultValue",e,t,n)),i=a.outputIndices,o=a.outputValues,s=a.emptyRowIndicator,u=a.reverseIndexMap;return[i,o,s,u];case"SparseReshape":var c=r.sparse.sparseReshape(Yfe("inputIndices",e,t,n),Yfe("inputShape",e,t,n),Yfe("newShape",e,t,n)),l=c.outputIndices,h=c.outputShape;return[l,h];case"SparseSegmentMean":var p=r.sparse.sparseSegmentMean(Yfe("data",e,t,n),Yfe("indices",e,t,n),Yfe("segmentIds",e,t,n));return[p];case"SparseSegmentSum":var f=r.sparse.sparseSegmentSum(Yfe("data",e,t,n),Yfe("indices",e,t,n),Yfe("segmentIds",e,t,n));return[f];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},vve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"FFT":return[r.fft(Yfe("x",e,t,n))];case"IFFT":return[r.ifft(Yfe("x",e,t,n))];case"RFFT":return[r.rfft(Yfe("x",e,t,n))];case"IRFFT":return[r.irfft(Yfe("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},mve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(Yfe("input",e,t,n),Yfe("pattern",e,t,n),Yfe("rewrite",e,t,n),Yfe("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams(Yfe("data",e,t,n),Yfe("dataSplits",e,t,n),Yfe("separator",e,t,n),Yfe("nGramWidths",e,t,n),Yfe("leftPad",e,t,n),Yfe("rightPad",e,t,n),Yfe("padWidth",e,t,n),Yfe("preserveShortSequences",e,t,n)),i=a.nGrams,o=a.nGramsSplits;return[i,o];case"StringSplit":var s=r.string.stringSplit(Yfe("input",e,t,n),Yfe("delimiter",e,t,n),Yfe("skipEmpty",e,t,n)),u=s.indices,c=s.values,l=s.shape;return[u,c,l];case"StringToHashBucketFast":var h=r.string.stringToHashBucketFast(Yfe("input",e,t,n),Yfe("numBuckets",e,t,n));return[h];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},gve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:Pde;switch(e.op){case"Cast":return[r.cast(Yfe("x",e,t,n),Yfe("dtype",e,t,n))];case"ExpandDims":var a=Yfe("axis",e,t,n);return[r.expandDims(Yfe("x",e,t,n),a)];case"Squeeze":var i=Yfe("axis",e,t,n);return[r.squeeze(Yfe("x",e,t,n),i)];case"Reshape":return[r.reshape(Yfe("x",e,t,n),Yfe("shape",e,t,n))];case"EnsureShape":return[r.ensureShape(Yfe("x",e,t,n),Yfe("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(Yfe("x",e,t,n),Yfe("padding",e,t,n),Yfe("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(Yfe("x",e,t,n),Yfe("padding",e,t,n),Yfe("constantValue",e,t,n))];case"SpaceToBatchND":var o=Yfe("blockShape",e,t,n),s=Yfe("paddings",e,t,n);return[r.spaceToBatchND(Yfe("x",e,t,n),o,s)];case"BatchToSpaceND":var u=Yfe("blockShape",e,t,n),c=Yfe("crops",e,t,n);return[r.batchToSpaceND(Yfe("x",e,t,n),u,c)];case"DepthToSpace":var l=Yfe("blockSize",e,t,n),h=Yfe("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(Yfe("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo(Yfe("x",e,t,n),Yfe("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(Yfe("s0",e,t,n),Yfe("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function yve(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e8,i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return Bde(e,t,n)}));case"basic_math":return a((function(){return Wde(e,t,n)}));case"control":return Zde(e,t,n);case"convolution":return a((function(){return $de(e,t,n)}));case"creation":return a((function(){return eve(e,t,n)}));case"dynamic":return nve(e,t,n);case"evaluation":return a((function(){return rve(e,t,n)}));case"image":return a((function(){return sve(e,t,n)}));case"graph":return a((function(){return ave(e,t,n)}));case"logical":return a((function(){return uve(e,t,n)}));case"matrices":return a((function(){return cve(e,t,n)}));case"normalization":return a((function(){return lve(e,t,n)}));case"ragged":return a((function(){return hve(e,t,n)}));case"reduction":return a((function(){return pve(e,t,n)}));case"slice_join":return a((function(){return fve(e,t,n)}));case"sparse":return a((function(){return dve(e,t,n)}));case"spectral":return a((function(){return vve(e,t,n)}));case"string":return a((function(){return mve(e,t,n)}));case"transformation":return a((function(){return gve(e,t,n)}));case"hash_table":return ove(e,t,n,r);case"custom":var i=Xfe(e.op);if(i&&i.customExecutor)return i.customExecutor(new zde(e,t,n));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return v0(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var bve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=arguments.length>4?arguments[4]:void 0;l(this,e),this.weightMap=t,this.tensorArrayMap=n,this.tensorListMap=r,this.functionMap=a,this.parseNodeNameCache=i,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return p(e,[{key:"newFrame",value:function(e,t){return{id:e,frameName:t,iterationId:0}}},{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}},{key:"generateCurrentContextIds",value:function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e}},{key:"contextIdforContexts",value:function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""}},{key:"enterFrame",value:function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}},{key:"exitFrame",value:function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}},{key:"nextIteration",value:function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}},{key:"getWeight",value:function(e){return this.weightMap[e]}},{key:"addTensorArray",value:function(e){this.tensorArrayMap[e.id]=e}},{key:"getTensorArray",value:function(e){return this.tensorArrayMap[e]}},{key:"addTensorList",value:function(e){this.tensorListMap[e.id]=e}},{key:"getTensorList",value:function(e){return this.tensorListMap[e]}},{key:"dispose",value:function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)}}]),e}();function xve(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,c=new Set(Object.keys(e).map((function(e){return ede(e)[0]})));r=r||[];for(var l=new Set(r.map((function(e){return ede(e.name)[0]}))),h=T(t);h.length>0;){var p=h.pop();(Tve(p)||Eve(p)||Cve(p))&&null==o&&(s=(o=p).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(p.name),null==n[p.name]&&(c.has(p.name)||l.has(p.name)||(0!==p.inputs.length?p.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),h.push(e))})):i.push(p.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}function kve(e,t){var n=t.usedNodes,r=t.inputs,a=Object.keys(r).map((function(e){return ede(e)[0]})).map((function(t){return e.nodes[t]})),i=e.initNodes||[],o=function(e){return n.has("string"==typeof e?e:e.name)};function s(e){return T(new Map(e.map((function(e){return[e.name,e]}))).values())}var u,c=s([].concat(T(a),T(e.weights),T(i))).filter(o),l=s([].concat(T(c),T(Object.values(e.nodes)))).filter(o),h=new Map(l.map((function(e){return[e.name,e]}))),p={},f=O(l);try{for(f.s();!(u=f.n()).done;){var d=u.value;p[d.name]=p[d.name]||0;var v,m=O(d.children);try{for(m.s();!(v=m.n()).done;){var g=v.value;o(g)||(p[g.name]=Number.POSITIVE_INFINITY),p[g.name]=(p[g.name]||0)+1}}catch(e){m.e(e)}finally{m.f()}}}catch(e){f.e(e)}finally{f.f()}for(var y=Object.entries(p).filter((function(e){return 0===S(e,2)[1]})).map((function(e){return S(e,1)[0]})),b=T(y);y.length>0;){var x,k=y.pop(),w=O(h.get(k).children.filter(o));try{for(w.s();!(x=w.n()).done;){var I=x.value;0==--p[I.name]&&(b.push(I.name),y.push(I.name))}}catch(e){w.e(e)}finally{w.f()}}var N=function(e,t){var n=new Map(e.map((function(e){return[e.name,e]}))),r=t.map((function(e){return e.name})),a=new Set(r);for(;r.length>0;){var i,o=r.pop(),s=O(n.get(o).children);try{for(s.s();!(i=s.n()).done;){var u=i.value;n.has(u.name)&&!a.has(u.name)&&(a.add(u.name),r.push(u.name))}}catch(e){s.e(e)}finally{s.f()}}var c=e.filter((function(e){return a.has(e.name)}));return c}(b.map((function(e){return h.get(e)})),c);return function(e,t){var n,r=new Map(e.map((function(e,t){return[e.name,t]}))),a=new Set(t.map((function(e){return e.name}))),i=function(e){return a.has("string"==typeof e?e:e.name)},o=new Set(e.map((function(e){return e.name}))),s=function(e){return o.has("string"==typeof e?e:e.name)},u=O(e);try{for(u.s();!(n=u.n()).done;){var c,l=n.value,h=O(l.children.filter(s));try{for(h.s();!(c=h.n()).done;){var p=c.value;if(!r.has(p.name))throw new wve("Child ".concat(p.name," of node ").concat(l.name," is unreachable."));if(r.get(l.name)>r.get(p.name))throw new wve("Node ".concat(l.name," is scheduled to run after its child ").concat(p.name,"."))}}catch(e){h.e(e)}finally{h.f()}if(!i(l)){var f,d=O(l.inputs);try{for(d.s();!(f=d.n()).done;){var v=f.value;if(!r.has(v.name))throw new wve("Input ".concat(v.name," of node ").concat(l.name," is unreachable."));if(r.get(v.name)>r.get(l.name))throw new wve("Node ".concat(l.name," is scheduled to run before its input ").concat(v.name,"."))}}catch(e){d.e(e)}finally{d.f()}}}}catch(e){u.e(e)}finally{u.f()}}(N,c),N}var wve=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,"NodesExecutionOrderError: ".concat(e))}return p(n)}(b(Error));var Ive=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),Nve=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),Sve=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function Tve(e){return Ive.has(e.op)}function Eve(e){return Nve.has(e.op)}function Cve(e){return Sve.has(e.op)}var Ave=function(){function e(t,n){var r=this;l(this,e),this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t,n,r,a;return p(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,T(n)),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}},{key:"getCompilationKey",value:function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)}},{key:"compile",value:function(e,t){var n=xve(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(i,"]"));if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(s,"]. Missing the following inputs: [").concat(r,"]"))}var u=kve(this.graph,n),c=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return Tve(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},i=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),o=new Map,s=0;s<e.length;++s){var u=i[s];if(u!==n){var c=e[s],l=e[u];o.has(l.name)||o.set(l.name,[]),o.get(l.name).push(c)}}return o}(u);return{orderedNodes:u,nodeLiveUntilMap:c}}},{key:"cloneAndKeepTensor",value:function(e){if(null==e)return null;var t=e.clone();return n8(t),t}},{key:"cloneTensorList",value:function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n}},{key:"cloneTensorMap",value:function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=S(e,2),r=n[0],a=n[1];return[r,t.cloneTensorList(a)]})))}},{key:"execute",value:function(e,t){var n=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[ede(e)[0]]})),i=t.map((function(e){return ede(e)[0]})),o=new Set(i),s=i.map((function(e){return n.graph.nodes[e]}));0===s.length&&(s=this._outputs);var u=this.getCompilationKey(a,s),c=this.compiledMap.get(u);null==c&&(c=this.compile(e,s),this.compiledMap.set(u,c));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},h={};return e8((function(){var r=new bve(n.weightMap,l,h,n.functionExecutorMap,n.parseNodeNameCache),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var i=S(ede(t,r),2),o=i[0],s=[];s[i[1]]=e[t],a[o]=s,n.keepIntermediateTensors&&(n.clonedTensorsMap[o]=n.cloneTensorList(s))}));var i,s=n.getFrozenTensorIds(a),u=c,p=u.orderedNodes,f=u.nodeLiveUntilMap,d=O(p);try{for(d.s();!(i=d.n()).done;){var v=i.value;if(!a[v.name]){var m=yve(v,a,r,n._resourceManager);if(v0(m))throw new Error("The execution of the op '".concat(v.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[v.name]=m,n.keepIntermediateTensors&&(n.clonedTensorsMap[v.name]=n.cloneTensorList(m)),n.checkTensorForDisposalWithNodeLiveUntilInfo(v,a,r,s,o,f.get(v.name))}}}catch(e){d.e(e)}finally{d.f()}return null==n.parent&&r.dispose(s),t.map((function(e){return Jfe(e,a,r)}))}))}},{key:"getFrozenTensorIds",value:function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)}},{key:"checkTensorForDisposal",value:function(e,t,n,r,a,i,o){if(!Tve(t)&&!i.has(e)){var s,u=O(n[e]);try{for(u.s();!(s=u.n()).done;){var c=s.value;null!=c&&(o[c.id]=(o[c.id]||0)+t.children.length)}}catch(e){u.e(e)}finally{u.f()}var l,h=O(t.inputs);try{for(h.s();!(l=h.n()).done;){var p=l.value;if(!Tve(p)){var f=Zfe(p.name,n,r);if(null!=f){var d,v=O(f);try{for(v.s();!(d=v.n()).done;){var m=d.value;if(m&&!m.kept&&!a.has(m.id)){var g=o[m.id];1===g?(m.dispose(),delete o[m.id]):null!=g&&o[m.id]--}}}catch(e){v.e(e)}finally{v.f()}}}}}catch(e){h.e(e)}finally{h.f()}}}},{key:"checkTensorForDisposalWithNodeLiveUntilInfo",value:function(e,t,n,r,a,i){function o(e){return Tve(e)||a.has(e.name)}if(!Tve(e)&&null!=i){var s,u=O(i);try{for(u.s();!(s=u.n()).done;){var c=s.value;if(!o(c)){var l,h=O(Zfe(c.name,t,n));try{for(h.s();!(l=h.n()).done;){var p=l.value;!p||p.kept||r.has(p.id)||p.dispose()}}catch(e){h.e(e)}finally{h.f()}}}}catch(e){u.e(e)}finally{u.f()}}}},{key:"executeAsync",value:(a=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n=O(e);try{for(n.s();!(t=n.n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}}catch(e){n.e(e)}finally{n.f()}})),this.clonedTensorsMap=null)}},{key:"getIntermediateTensors",value:function(){return this.clonedTensorsMap}},{key:"_executeAsync",value:(r=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=f.length>2&&void 0!==f[2]&&f[2],a=f.length>3&&void 0!==f[3]?f[3]:{},i=f.length>4&&void 0!==f[4]?f[4]:{},this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new bve(this.weightMap,a,i,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,s,n,r);case 10:return u=e.sent,c=n.map((function(e){return Jfe(e,u,s)})),l=c.map((function(e){return e.id})),h=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(T(l),T(h),T(this.weightIds))),Object.values(u).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(p),e.abrupt("return",c);case 18:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"executeFunctionAsync",value:(n=c(o().mark((function e(t,n,r){var a,i=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)}))),function(e,t,r){return n.apply(this,arguments)})},{key:"executeWithControlFlow",value:(t=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),s=i.map((function(e){return N.graph.nodes[ede(e)[0]]})),u=r.map((function(e){return ede(e)[0]})),c=new Set(u),0===(l=u.map((function(e){return N.graph.nodes[e]}))).length&&(l=this._outputs),h=xve(t,l,this.weightMap,this._initNodes),p=h.usedNodes,f=h.missingInputs,d=h.dynamicNode,v=h.syncInputs,m=[].concat(T(s),T(this.graph.weights),T(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),g=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=S(ede(e),2),r=n[0],a=[];a[n[1]]=t[e],g[r]=a})),y={},b=this.getFrozenTensorIds(g),x={};case 13:if(!(m.length>0)){e.next=19;break}return k=this.processStack(s,m,n,g,x,b,c,y,p),e.next=17,Promise.all(k);case 17:e.next=13;break;case 19:if(null!=d||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),w=l.filter((function(e){return!Tve(e)&&!Jfe(e.name,g,n)})).map((function(e){return e.name})),!(w.length>0)){e.next=25;break}throw I="",null!=d&&(I="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(v,"]")),new Error("Cannot compute the outputs [".concat(w,"] from the provided ")+"inputs [".concat(i,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(I));case 25:return e.abrupt("return",g);case 26:case"end":return e.stop()}}),e,this)}))),function(e,n,r,a){return t.apply(this,arguments)})},{key:"processStack",value:function(e,t,n,r,a,i,o,s,u){for(var c=this,l=[],h=function(){var e=t.pop();n.currentContext=e.contexts;var h="";if("Enter"===e.node.op&&Yfe("isConstant",e.node,r,n)){var p=S(Qfe(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var f=yve(e.node,r,n,c._resourceManager);if(!h){var d=S(Qfe(e.node.name,n),1);h=d[0]}var v=n.currentContext;v0(f)?l.push(f.then((function(l){return r[h]=l,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(l)),n.currentContext=v,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u),l}))):(r[h]=f,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(f)),c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u))}else c.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)h();return l}},{key:"processChildNodes",value:function(e,t,n,r,a,i){e.children.forEach((function(e){var o=S(Qfe(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!Jfe(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!Jfe(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=S(ede(n),1)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));F$(s,(function(){return"The shape of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(r.shape,"]")}))}i.attrParams.dtype&&i.attrParams.dtype.value&&F$(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(i.attrParams.dtype.value,", but was ").concat(r.dtype)}))}))}},{key:"mapInputs",value:function(e){var t,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r}},{key:"checkInputs",value:function(e){var t=this,n=Object.keys(e).filter((function(e){var n=S(ede(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach((function(e){var n=S(ede(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),Rve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};l(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return p(e,[{key:"addHashTable",value:function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}},{key:"getHashTableHandleByName",value:function(e){return this.hashTableNameToHandle[e]}},{key:"getHashTableById",value:function(e){return this.hashTableMap[e]}},{key:"dispose",value:function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}}]),e}(),_ve=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:pae;l(this,e),this.modelUrl=t,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new Rve}var t,n,r,a;return p(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}},{key:"findIOHandler",value:function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return v0(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)}},{key:"loadSync",value:function(e){this.artifacts=e;var t=this.artifacts.modelTopology,n=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var r=this.artifacts.userDefinedMetadata;null!=r.signature&&(n=r.signature),null!=r.structuredOutputKeys&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version="".concat(t.versions.producer,".").concat(t.versions.minConsumer);var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Ave(wde.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=wde.Instance.transformGraph(e.modelInitializer);this.initializer=new Ave(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:(a=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Error("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 Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"addStructuredOutputNames",value:function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof n5?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e}},{key:"predict",value:function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}},{key:"predictAsync",value:(r=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"normalizeInputs",value:function(e){var t,n=this;if(!(e instanceof n5||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has ".concat(this.inputNodes.length-o," non-resource placeholders, while there are ").concat(e.length," input tensors provided."));var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})}},{key:"normalizeOutputs",value:function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}},{key:"executeInitializerGraph",value:function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))}},{key:"executeInitializerGraphAsync",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setResourceIdToCapturedInput",value:function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}}},{key:"execute",value:function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]}},{key:"executeAsync",value:(t=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"getIntermediateTensors",value:function(){return this.executor.getIntermediateTensors()}},{key:"disposeIntermediateTensors",value:function(){this.executor.disposeIntermediateTensors()}},{key:"convertTensorMapToTensorsMap",value:function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})}},{key:"dispose",value:function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&t8(this.resourceIdToCapturedInput)),this.resourceManager.dispose()}}]),e}();function Ove(){return Ove=c(o().mark((function e(t){var n,r,a,i=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 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".concat(this.audioContext.sampleRate));case 19:return n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,n.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),e.abrupt("return");case 27:case"end":return e.stop()}}),e,this,[[0,6]])}))),function(){return i.apply(this,arguments)})},{key:"next",value:(a=c(o().mark((function e(){var t,n,r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.next=4,this.getAudioData();case 4:return r=e.sent,this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),t=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(r.timeDataQueue),n=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),e.abrupt("return",{value:{spectrogram:t,waveform:n},done:!1});case 8:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"capture",value:(r=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return r.apply(this,arguments)})},{key:"getAudioData",value:(n=c(o().mark((function e(){var t,n,r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],n=[],r=0,e.abrupt("return",new Promise((function(e){var i=setInterval((function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-1/0&&e({freqDataQueue:t,timeDataQueue:n}),t.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),n.push(a.timeData.slice())),++r===a.numFrames&&(clearInterval(i),e({freqDataQueue:t,timeDataQueue:n}))}),a.fftSize/a.sampleRateHz*1e3)})));case 4:case"end":return e.stop()}}),e)}))),function(){return n.apply(this,arguments)})},{key:"stop",value:function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}},{key:"toArray",value:function(){throw new Error("Can not convert infinite audio stream to array.")}},{key:"getSampleRate",value:function(){return this.sampleRateHz}},{key:"flattenQueue",value:function(e){var t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((function(e,r){return n.set(e,r*t)})),n}},{key:"getTensorFromAudioDataArray",value:function(e,t){var n=new Float32Array(L$(t));return n.set(e,n.length-e.length),U5(n,t)}}],[{key:"create",value:(t=c(o().mark((function e(){var t,n,r=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=r.length>0&&void 0!==r[0]?r[0]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("microphone API is only supported in browser environment.");case 3:return n=new u(t),e.next=6,n.start();case 6:return e.abrupt("return",n);case 7:case"end":return e.stop()}}),e)}))),function(){return t.apply(this,arguments)})}]),u}(Qve),Eme=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e,t){var n;if(l(this,s),(n=i.call(this)).webcamVideoElement=e,n.webcamConfig=t,n.isClosed=!0,n.resize=!1,n.needToResize())if(n.resize=!0,n.cropSize=[n.webcamConfig.resizeHeight,n.webcamConfig.resizeWidth],n.cropBoxInd=Dte([0],"int32"),n.webcamConfig.centerCrop){var r=1*n.webcamConfig.resizeWidth/n.webcamVideoElement.width,a=1*n.webcamConfig.resizeHeight/n.webcamVideoElement.height,o=(1-r)/2,u=(1-a)/2,c=o+r,h=a+u;n.cropBox=Mte([u,o,h,c],[1,4])}else n.cropBox=Mte([0,0,1,1],[1,4]);return n}return p(s,[{key:"summary",value:function(){return"webcam"}},{key:"start",value:(a=c(o().mark((function e(){var t=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.webcamConfig.facingMode&&F$("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: ".concat(t.webcamConfig.facingMode,". 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a.apply(this,arguments)})},{key:"next",value:(r=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=kae(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: ".concat(JSON.stringify(e.t0)));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: ".concat(e.t1.message));case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])}))),function(){return r.apply(this,arguments)})},{key:"needToResize",value:function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}},{key:"cropAndResizeFrame",value:function(e){var t=this;return e8((function(){var n,r=i9(X6(e,"float32"),0),a=(n=Are.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return W8(n,a.slice(1))}))}},{key:"capture",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"stop",value:function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}},{key:"toArray",value:function(){throw new Error("Can not convert infinite video stream to array.")}}],[{key:"create",value:(t=c(o().mark((function e(t){var n,r,a=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(n=a.length>1&&void 0!==a[1]?a[1]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("tf.data.webcam is only supported in browser environment.");case 3:if(t){e.next=9;break}if(t=document.createElement("video"),n.resizeWidth&&n.resizeHeight){e.next=7;break}throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");case 7:t.width=n.resizeWidth,t.height=n.resizeHeight;case 9:return r=new s(t,n),e.next=12,r.start();case 12:return e.abrupt("return",r);case 13:case"end":return e.stop()}}),e)}))),function(e){return 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p(r,[{key:"summary",value:function(){return this.impl.summary()}},{key:"next",value:(t=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.impl.next());case 1:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})}]),r}(Ame),Dme=function(e){d(r,e);var t,n=w(r);function r(e){var t;if(l(this,r),(t=n.call(this)).upstream=e,k0().get("IS_BROWSER"))t.decoder=new TextDecoder("utf-8");else{var a=require("string_decoder").StringDecoder;t.decoder=new a("utf8")}return t}return p(r,[{key:"summary",value:function(){return"".concat(this.upstream.summary()," -> Utf8")}},{key:"pump",value:(t=c(o().mark((function e(){var t,n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=7;break}return e.abrupt("return",!1);case 7:n=t.value;case 8:return 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Sye={kernelName:A2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;qme(a,"prod");var s=a.shape.length,u=j$(i,a.shape),c=H7(u,s),l=u,h=a,p=[];null!=c&&(h=wye({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=K7(l.length,s));var f=n.data.get(h.dataId).values,d=Nye(h.shape,h.dtype,f,l),v=d.outVals,m=d.outShape,g=d.outDtype,y=m;return o&&(y=G7(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function Tye(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted 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scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=d0(r,t.length,i0(t)).join(",");throw new Error("indices[".concat(a,"] = ").concat(e," is not in [0, ").concat(n,")"))}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=Tye(i,o,e,r[0]),c=u.outSplits,l=u.valueSlices,h=u.numValues,p=function(e){for(var t=[],n=function(){var n=K$("int32",e[r].length);t.push(n),e[r].forEach((function(e,t){return n[t]=e}))},r=0;r<e.length;++r)n();return t}(c),f=Cye(n,r,a,l,h);return[p,f[0],f[1]]}var Rye=2147483647;function _ye(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,c=0===o.length,l=[];s||l.push(t[0]),u||l.push(a[0]),c||l.push(o[0]);for(var h=1;h<l.length;++h)if(l[h]!==l[h-1])throw new Error("starts, limits, and deltas must have the same shape");var p=0===l.length?1:l[0],f=K$("int32",p+1);f[0]=0;for(var d=0;d<p;++d){var v=s?e[0]:e[d],m=u?r[0]:r[d],g=c?i[0]:i[d];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&m<v||g<0&&m>v)y=0;else if((y=Math.ceil(Math.abs((m-v)/g)))>Rye)throw new Error("Requires ((limit - start) / delta) <= ".concat(Rye));f[d+1]=f[d]+y}for(var b=K$(n,f[p]),x=0,k=0;k<p;++k)for(var w=f[k+1]-f[k],I=s?e[0]:e[k],N=c?i[0]:i[k],S=0;S<w;++S)b[x++]=I,I+=N;return[f,b]}var Oye=Wae,Fye=function(){function e(t,n,r,a,i,o,s,u,c,h){l(this,e),this.shape=t,this.shapeShape=n,this.values=r,this.valuesShape=a,this.valuesDType=i,this.defaultValue=o,this.defaultValueShape=s,this.rowPartitionValues=u,this.rowPartitionValuesShapes=c,this.rowPartitionTypes=Jae(h),this.raggedRank=Zae(this.rowPartitionTypes)}return p(e,[{key:"getRowPartitionTypeByDimension",value:function(e){return this.rowPartitionTypes[0]===Oye.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]}},{key:"getRowPartitionTensor",value:function(e){return this.rowPartitionTypes[0]===Oye.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]}},{key:"getMaxWidth",value:function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case Oye.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case Oye.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(Oye[this.getRowPartitionTypeByDimension(t-1)]))}}},{key:"tensorShapeFromTensor",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return Mye(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;Qae(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=Yae(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r}},{key:"calculateFirstParentOutputIndex",value:function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return F$(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a}},{key:"calculateOutputIndexRowSplit",value:function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),c=t[o];-1===c&&(u=0);for(var l=0;l<u;++l)i.push(c),c+=n;for(var h=0;h<s-u;++h)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i}},{key:"calculateOutputIndexValueRowID",value:function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId=".concat(s,", which is not less than ").concat(t.length));var u=t[s];i.push(u);for(var c=1;c<a;++c){var l=e[c];if(l===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=l,l>=t.length)throw new Error("Got nextValueRowId=".concat(l," which is not less than ").concat(t.length));u=t[l]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i}},{key:"calculateOutputIndex",value:function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case Oye.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case Oye.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: ".concat(Oye[i]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case Oye.FIRST_DIM_SIZE:return e[0];case Oye.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Oye.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(Oye[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=Mye(t,!1),i=K$(this.valuesDType,L$(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]}},{key:"setOutput",value:function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=L$(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;e8((function(){var e=W8(c,l),t=r7(e,o);c=t.dataSync()}))}for(var h=0,p=0,f=0,d=0;d<=u;++d){var v=d<u?t[d]:-1;if(v!==f){if(p<f){var m=a.subarray(h*s);Dye(i.subarray(p*s),m,(f-p)*s)}if(d>=u){var g=n.length;v=Math.floor(g/s)}if(v>f)if(1===this.defaultValue.length)i.subarray(f*s,v*s).fill(this.defaultValue[0]),f=v;else for(;v>f;){Dye(i.slice(f*s),c,s),++f}v<0?(h=d+1,p=f):(h=d,f=(p=f)+1)}else++f}}}}],[{key:"getMaxWidthRowSplit",value:function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n}},{key:"getMaxWidthValueRowID",value:function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)}}]),e}();function Dye(e,t,n){for(var r=0;r<n;r++)e[r]=t[r]}function Mye(e,t){var n,r=[],a=O(e);try{for(a.s();!(n=a.n()).done;){var i=n.value;if(i<0){if(!t)throw new Error("Dimension ".concat(i," must be >= 0"));if(i<-1)throw new Error("Dimension ".concat(i," must be >= -1"));i=-1}r.push(i)}}catch(e){a.e(e)}finally{a.f()}return r}function Lye(e,t,n,r,a,i,o,s,u,c){return new Fye(e,t,n,r,a,i,o,s,u,c).compute()}function zye(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return l0(0,r);var a=l0(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var Pye=bge((function(e){return 1/Math.sqrt(e)})),Bye=kge(H2,Pye),Wye={kernelName:H2,backendName:"cpu",kernelFunc:Bye};function Vye(e,t,n,r,a,i,o,s,u,c){var l=[r/a,a],h=e.values,p=t.values;if(0===r)return K6(n,t.dtype);var f=u instanceof $4?u:K6(l,t.dtype);"string"==typeof u||"number"==typeof u?f.values.fill(u):"boolean"==typeof u&&f.values.fill(+u);for(var d=0;d<i;d++){for(var v=[],m=0,g=0;g<o;g++){var y=h[d*o+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/a)throw new Error("Invalid indices: ".concat(v," does not index into ").concat(n));for(var b=0;b<a;b++)c?f.values[m*a+b]+=p[d*a+b]:f.values[m*a+b]=0===t.rank?p[0]:p[d*a+b]}return f}var Uye=bge((function(e){return 1/(1+Math.exp(-e))})),Gye=xge(t3,(function(e){return 1/(1+Math.exp(-e))})),jye={kernelName:t3,backendName:"cpu",kernelFunc:Gye};function Hye(e,t,n,r,a){var i=Mae(r,t,n),o=L$(n),s=i0(r);if(i){var u=Lae(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=K6(r,a,"string"===a?qie(e):e),l=K6(n,a),h=0;h<l.size;++h){var p=l.indexToLoc(h),f=p.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,T(f))].concat(T(p)))}return"string"===a?Kie(l.values):l.values}function qye(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;qme(a,"slice");var s=S(zae(a,i,o),2),u=s[0],c=s[1];Sae(a,u,c);var l=Hye(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var Kye={kernelName:Z2,backendName:"cpu",kernelFunc:qye};function Xye(e,t,n,r,a,i,o){var s=t[0],u=i[0],c=new Array(u),l=new Array(s),h=t[1];if(0===u){if(0!==s)throw new Error(_ie(s));return[K$(n,0),[0,h],K$(a,0),c,l]}for(var p=!0,f=0,d=new Array(u).fill(0),v=0;v<s;++v){var m=e[v*h];if(m<0)throw new Error(Oie(v,m));if(m>=u)throw new Error(Fie(v,m,u));++d[m],p=p&&m>=f,f=m}for(var g=!0,y=0;y<u;++y){var b=0===d[y];c[y]=b,g=g&&!b,d[y]=Math.max(d[y],1),y>0&&(d[y]+=d[y-1])}if(g&&p){for(var x=e,k=r,w=0;w<s;++w)l[w]=w;return[x,[s,h],k,c,l]}for(var I=d[u-1],N=K$(n,I*h),S=K$(a,I),T=new Array(u).fill(0),E=0;E<s;++E){var C=e[E*h],A=T[C],R=(0===C?0:d[C-1])+A;T[C]++;for(var _=0;_<h;++_)N[R*h+_]=e[E*h+_];S[R]=r[E],l[E]=R}for(var O=0;O<u;++O){if(0===T[O]){var F=0===O?0:d[O-1];N[F*h+0]=O;for(var D=1;D<h;++D)N[F*h+D]=0;S[F]=o}}return[N,[I,h],S,c,l]}function Yye(e,t,n,r,a){for(var i=L$(r),o=t[0],s=a.length,u=[],c=1,l=-1,h=0;h<s;++h){var p=a[h];if(-1===p){if(-1!==l)throw new Error(Die(l,h));l=h,u.push(1)}else{if(p<0)throw new Error(Mie(h,p));c*=p,u.push(p)}}if(-1!==l){if(c<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");var f=Math.trunc(i/c);if(c*f!==i)throw new Error(zie(r,u));u[l]=f}if(L$(u)!==i)throw new Error(Pie(r,u));var d=r.length,v=[];if(d>0){v[d-1]=1;for(var m=d-2;m>=0;--m)v[m]=v[m+1]*r[m+1]}var g=[];if(s>0){g[s-1]=1;for(var y=s-2;y>=0;--y)g[y]=g[y+1]*u[y+1]}for(var b=K$(n,o*s),x=0;x<o;++x){for(var k=0,w=0;w<d;++w)k+=e[x*d+w]*v[w];for(var I=0;I<s;++I)b[x*s+I]=Math.trunc(k/g[I]),k%=g[I]}return[b,[o,s],u]}function Jye(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]&&arguments[5],o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=r.length,u=[t[0],e.length/t[0]],c=u[1],l=s>0?a[s-1]+1:0,h=l;if(h<0)throw new Error("segment ids must be >= 0");var p=t.slice();p[0]=h;var f=p.reduce((function(e,t){return e*t}),1),d=K$(n,f);if(0===s)return h>0&&d.fill(o),[d,p];if(h<=0)throw new Error("segment ids must be >= 0");for(var v=0,m=1,g=0,y=a[v];;){var b=0;if(m<s){if(y===(b=a[m])){++m;continue}if(y>=b)throw new Error("segment ids are not increasing")}if(y<0||y>=h)throw new Error(Vie(y,h));y>g&&d.fill(o,g*c,y*c);for(var x=v;x<m;++x){var k=r[x];if(k<0||k>=u[0])throw new Error(Uie(x,r[x],u[0]));for(var w=0;w<c;w++)d[y*c+w]+=e[k*c+w]}if(i)for(var I=0;I<c;I++)d[y*c+I]/=m-v;if(v=m,g=y+1,y=b,++m>s)break}return g<h&&d.fill(o,g*c,h*c),[d,p]}var Zye=bge((function(e){return Math.sqrt(e)})),Qye=xge(r3,(function(e){return Math.sqrt(e)})),$ye={kernelName:r3,backendName:"cpu",kernelFunc:Qye},ebe=Zme((function(e,t){var n=e-t;return n*n})),tbe=uge(f3,ebe),nbe={kernelName:f3,backendName:"cpu",kernelFunc:tbe},rbe=bge((function(e,t){var n=t.pattern,r=t.replaceGlobal,a=t.rewrite;return e.replace(new RegExp(n,r?"g":""),a)})),abe=kge(v3,rbe),ibe={kernelName:v3,backendName:"cpu",kernelFunc:abe};function obe(e,t,n,r){for(var a=K6(e,t.dtype),i=0;i<a.size;i++){for(var o=a.indexToLoc(i),s=new Array(o.length),u=0;u<s.length;u++)s[u]=o[u]*n[u]+r[u];a.set.apply(a,[t.get.apply(t,s)].concat(T(o)))}return a}var sbe=function(){function e(t,n,r,a,i,o){l(this,e),this.separator=B4(t),this.nGramWidths=n,this.leftPad=B4(r),this.rightPad=B4(a),this.padWidth=i,this.preserveShort=o}return p(e,[{key:"getPadWidth",value:function(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}},{key:"getNumNGrams",value:function(e,t){var n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}},{key:"createNGrams",value:function(e,t,n,r,a,i){for(var o=this,s=function(){var s=o.getPadWidth(i),c=Math.max(0,s-u),l=Math.max(0,s-(a-(u+1))),h=i-(c+l),p=t+(c>0?0:u-s),f=0;f+=c*o.leftPad.length;for(var d=0;d<h;++d)f+=e[p+d].length;f+=l*o.rightPad.length,f+=(c+l+h-1)*o.separator.length,n[r+u]=new Uint8Array(f);for(var v=n[r+u],m=0,g=function(e){return e.forEach((function(e){return v[m++]=e}))},y=0;y<c;++y)g(o.leftPad),g(o.separator);for(var b=0;b<h-1;++b)g(e[p+b]),g(o.separator);if(h>0){g(e[p+h-1]);for(var x=0;x<l;++x)g(o.separator),g(o.rightPad)}else{for(var k=0;k<l-1;++k)g(o.rightPad),g(o.separator);g(o.rightPad)}},u=0;u<a;++u)s()}},{key:"compute",value:function(e,t){var n=this,r=e.length,a=t.length;if(a>0){var i=t[0];if(0!==i)throw new Error("First split value must be 0, got ".concat(i));for(var o=1;o<a;++o){var s=t[o]>=i;if(!(s=s&&t[o]<=r))throw new Error("Invalid split value ".concat(t[o],", must be in [").concat(i,", ").concat(r,"]"));i=t[o]}if(i!==r)throw 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=dge(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=vge(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var Bxe={kernelName:p1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;F$("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;qme([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=T8(a.shape,l,o,s,u,c,!0),p=h.strideHeight,f=h.strideWidth,d=h.filterHeight,v=h.filterWidth,m=new $4(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,x=n.data.get(a.dataId).values,k=new $4(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,I=new $4(i.shape,i.dtype,w),N=0;N<d;++N)for(var S=Math.max(0,Math.ceil((y-N)/p)),T=Math.min(h.outHeight,(h.inHeight+y-N)/p),E=0;E<v;++E)for(var C=Math.max(0,Math.ceil((g-E)/f)),A=Math.min(h.outWidth,(h.inWidth+g-E)/f),R=0;R<h.outChannels;++R){for(var _=Math.trunc(R/b),O=R%b,F=0,D=0;D<h.batchSize;++D)for(var M=S;M<T;++M)for(var L=N+M*p-y,z=C;z<A;++z){var P=E+z*f-g;F+=k.get(D,L,P,_)*I.get(D,M,z,R)}m.set(F,N,E,_,O)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var Gxe={kernelName:v1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.inputShape;qme([a,i],"depthwiseConv2DNativeBackpropInput");for(var h=i0(a.shape),p=i0(i.shape),f=T8(l,i.shape,o,s,u,c,!0),d=new $4(f.inShape,"float32"),v=d.values,m=S(d.strides,3),g=m[0],y=m[1],b=m[2],x=n.data.get(a.dataId).values,k=S(h,3),w=k[0],I=k[1],N=k[2],T=n.data.get(i.dataId).values,E=S(p,3),C=E[0],A=E[1],R=E[2],_=f.batchSize,O=f.filterHeight,F=f.filterWidth,D=f.inChannels,M=f.inHeight,L=f.inWidth,z=f.outChannels,P=f.outHeight,B=f.outWidth,W=f.strideHeight,V=f.strideWidth,U=O-1-f.padInfo.top,G=F-1-f.padInfo.left,j=z/D,H=0;H<_;++H)for(var q=0;q<D;++q)for(var K=0;K<M;++K)for(var X=K-U,Y=Math.max(0,Math.ceil(X/W)),J=Math.min(P,(O+X)/W),Z=0;Z<L;++Z){for(var Q=Z-G,$=Math.max(0,Math.ceil(Q/V)),ee=Math.min(B,(F+Q)/V),te=0,ne=Y;ne<J;++ne)for(var re=ne*W-X,ae=$;ae<ee;++ae)for(var ie=w*H+I*ne+N*ae,oe=C*(O-1-re)+A*(F-1-(ae*V-Q))+R*q,se=0;se<j;++se){te+=x[ie+(q*j+se)]*T[oe+se]}v[g*H+y*K+b*Z+q]=te}return n.makeTensorInfo(d.shape,d.dtype,d.values)}};var jxe={kernelName:m1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=L$(r.shape),i=n.data.get(r.dataId).values,o=K6([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var c=[].concat(T(r.shape),T(r.shape));return n.makeTensorInfo(c,o.dtype,o.values)}},Hxe={kernelName:g1,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,p=c.data.get(i.dataId).values,f=i.shape.length,d=I8(a.shape,i.shape,o,s,"NHWC",u),v=d.batchSize,m=d.inHeight,g=d.inWidth,y=d.inChannels,b=d.outHeight,x=d.outWidth,k=d.padInfo,w=d.strideHeight,I=d.strideWidth,N=d.filterHeight,S=d.filterWidth,T=d.dilationHeight,E=d.dilationWidth,C=d.outShape,A=L$(C),R=C.length,_=K$(a.dtype,A),O=0;O<v;++O)for(var F=0;F<b;++F)for(var D=F*w-k.top,M=0;M<x;++M)for(var L=M*I-k.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=D+B*T;if(W>=0&&W<m)for(var V=0;V<S;++V){var U=L+V*E;if(U>=0&&U<g){var G=f0([O,W,U,z],h,i0(a.shape)),j=f0([B,V,z],f,i0(i.shape)),H=l[G]+p[j];H>P&&(P=H)}}}_[f0([O,F,M,z],R,i0(C))]=P}return{dataId:c.write(L4(_,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},qxe={kernelName:b1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,c=r.dilations,l=n,h=s0(a.shape,l.data.get(a.dataId).values),p=s0(i.shape,l.data.get(i.dataId).values),f=I8(a.shape,i.shape,s,u,"NHWC",c),d=f.batchSize,v=f.inHeight,m=f.inWidth,g=f.inChannels,y=f.outHeight,b=f.outWidth,x=f.padInfo,k=f.strideHeight,w=f.strideWidth,I=f.filterHeight,N=f.filterWidth,S=f.dilationHeight,T=f.dilationWidth,E=f.outShape;F$(o.rank===E.length,(function(){return"Error in ".concat(b1,", dy ")+"must have the same rank as output ".concat(E.length,", but got ")+"".concat(o.rank)}));for(var C=s0(E,l.data.get(o.dataId).values),A=h0(i.shape,i.dtype),R=0;R<d;++R)for(var _=0;_<y;++_)for(var O=_*k-x.top,F=0;F<b;++F)for(var D=F*w-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=0,P=0,B=0;B<I;++B){var W=O+B*S;if(W>=0&&W<v)for(var V=0;V<N;++V){var U=D+V*T;if(U>=0&&U<m){var 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3:return function(e,t,n){if(n)return"\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(r[0],", ").concat(r[1],"));\n int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n int b = index / ").concat(i,";\n index -= b * ").concat(i,";\n\n int r = 2 * (index 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r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),i=a*Math.ceil(e[e.length-2]/2),o=i,s="",u="b, r, c",c=2;c<e.length-1;c++)o*=e[e.length-c-1],s="\n int b".concat(c," = index / ").concat(o,";\n index -= b").concat(c," * ").concat(o,";\n ")+s,u="b".concat(c,", ")+u;return"\n ivec".concat(e.length," getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(").concat(r[0],", ").concat(r[1],"));\n int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n ").concat(s,"\n\n int b = index / ").concat(i,";\n index -= b * ").concat(i,";\n\n int r = 2 * (index / ").concat(a,");\n int c = imod(index, ").concat(a,") * 2;\n\n return ivec").concat(e.length,"(").concat(u,");\n }\n ")}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n void setOutput(vec4 val) {\n ".concat(e.output," = val;\n }\n ")}(c)):(a=function(e,t,n){switch(e.length){case 0:return"\n int getOutputCoords() {\n return 0;\n }\n ";case 1:return function(e,t,n){if(1===t[0])return n?"\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n ":"\n int getOutputCoords() {\n return int(resultUV.x * ".concat(t[1],".0);\n }\n ");if(1===t[1])return n?"\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n ":"\n int getOutputCoords() {\n return int(resultUV.y * ".concat(t[0],".0);\n }\n ");if(n)return"\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\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,n);case 2:return function(e,t,n){if(P$(e,t))return n?"\n ivec2 getOutputCoords() {\n return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n }\n ":"\n ivec2 getOutputCoords() {\n return ivec2(resultUV.yx * vec2(".concat(t[0],", ").concat(t[1],"));\n }\n ");if(1===e[1])return n?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n return ivec2(index, 0);\n }\n ":"\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(index, 0);\n }\n ");if(1===e[0])return n?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n return ivec2(0, index);\n }\n ":"\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 ");if(n)return"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n int r = index / outShape[1];\n int c = index - r * outShape[1];\n return ivec2(r, c);\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,n);case 3:return function(e,t,n){if(n){var r=ENe(["r","c","d"],e);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ".concat(r,"\n return ivec3(r, c, d);\n }\n")}var a=TNe(["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(a,"\n return ivec3(r, c, d);\n }\n ")}(e,t,n);case 4:return function(e,t,n){if(n){var r=ENe(["r","c","d","d2"],e);return"\n ivec4 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ".concat(r,"\n return ivec4(r, c, d, d2);\n }\n ")}var a=TNe(["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(a,"\n return ivec4(r, c, d, d2);\n }\n ")}(e,t,n);case 5:return r=t,a=TNe(["r","c","d","d2","d3"],e),"\n ivec5 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(r[0],",\n ").concat(r[1],"));\n\n int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n ").concat(a,"\n\n ivec5 outShape = ivec5(r, c, d, d2, d3);\n return outShape;\n }\n ");case 6:return function(e,t){var n=TNe(["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"))}var r,a}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n void setOutput(float val) {\n ".concat(e.output," = vec4(val, 0, 0, 0);\n }\n ")}(c)),n.packedInputs&&(h+=PNe),[h,l,i,o,a,s,n.userCode].join("\n")}function FNe(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return WNe(e,t);case 1:return VNe(e,t);case 2:return UNe(e,t);case 3:return GNe(e,t);case 4:return jNe(e,t);case 5:return HNe(e);case 6:return qNe(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function DNe(e,t){var n,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=SNe(),"\n vec4 ".concat(r,"() {\n return ").concat(a.texture2D,"(").concat(n,", halfCR);\n }\n ");case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=SNe();if(t)return"\n vec4 ".concat(r,"(int index) {\n ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n vec2 uv = packedUVfrom1D(\n packedTexShape[0], packedTexShape[1], index);\n return ").concat(i.texture2D,"(").concat(n,", uv);\n }\n ");var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n vec4 ".concat(r,"(int index) {\n vec2 uv = packedUVfrom1D(\n ").concat(o[0],", ").concat(o[1],", index);\n return ").concat(i.texture2D,"(").concat(n,", uv);\n }\n ")}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=i[0],s=i[1],u=SNe();if(null!=i&&P$(n,i))return t?"\n vec4 ".concat(a,"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n\n return ").concat(u.texture2D,"(").concat(r,", uv);\n }\n "):"\n vec4 ".concat(a,"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n\n return ").concat(u.texture2D,"(").concat(r,", uv);\n }\n ");if(t)return"\n vec4 ".concat(a,"(int row, int col) {\n ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n int valuesPerRow = int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);\n return ").concat(u.texture2D,"(").concat(r,", uv);\n }\n ");var c=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(n[1]/2);return"\n vec4 ".concat(a,"(int row, int col) {\n vec2 uv = packedUVfrom2D(").concat(l,", ").concat(c[0],", ").concat(c[1],", row, col);\n return ").concat(u.texture2D,"(").concat(r,", uv);\n }\n ")}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,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)];if(1===n[0]){var s=[1,2],u=QNe(e,n.slice(1)),c=["b","row","col"];return"\n ".concat(DNe(u,t),"\n vec4 ").concat(a,"(int b, int row, int col) {\n return ").concat(a,"(").concat($Ne(c,s),");\n }\n ")}var l=SNe();if(t)return"\n vec4 ".concat(a,"(int b, int row, int col) {\n ivec2 packedTexShape = ivec2(ceil(float(").concat(r,"TexShape[0]) / 2.0), ceil(float(").concat(r,"TexShape[1]) / 2.0));\n int valuesPerRow = int(ceil(float(").concat(r,"Shape[2]) / 2.0));\n int texelsInBatch = valuesPerRow * int(ceil(float(").concat(r,"Shape[1]) / 2.0));\n vec2 uv = packedUVfrom3D(\n packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n return ").concat(l.texture2D,"(").concat(r,", uv);\n }\n ");var h=o[0],p=o[1],f=Math.ceil(n[2]/2),d=f*Math.ceil(n[1]/2);return"\n vec4 ".concat(a,"(int b, int row, int col) {\n vec2 uv = packedUVfrom3D(\n ").concat(h,", ").concat(p,", ").concat(d,", ").concat(f,", b, row, col);\n return ").concat(l.texture2D,"(").concat(r,", uv);\n }\n ")}(e,t);default:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=SNe();if(t)return"\n vec4 ".concat(r,"(int b2, int b, int row, int col) {\n int valuesPerRow = int(ceil(float(").concat(n,"Shape[3]) / 2.0));\n int texelsInBatch = valuesPerRow * int(ceil(float(").concat(n,"Shape[2]) / 2.0));\n int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);\n texelsInBatch *= ").concat(n,"Shape[1];\n index = b2 * texelsInBatch + index;\n ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n int texR = index / packedTexShape[1];\n int texC = index - texR * packedTexShape[1];\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return ").concat(a.texture2D,"(").concat(n,", uv);\n }\n ");for(var i=e.shapeInfo.logicalShape,o=i.length,s=e.shapeInfo.texShape,u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],c=u[0],l=u[1],h=Math.ceil(i[o-1]/2),p=h*Math.ceil(i[o-2]/2),f="int b, int row, int col",d="b * ".concat(p," + (row / 2) * ").concat(h," + (col / 2)"),v=2;v<o-1;v++)f="int b".concat(v,", ")+f,p*=i[o-v-1],d="b".concat(v," * ").concat(p," + ")+d;return"\n vec4 ".concat(r,"(").concat(f,") {\n int index = ").concat(d,";\n int texR = index / ").concat(l,";\n int texC = index - texR * ").concat(l,";\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(l,", ").concat(c,");\n return ").concat(a.texture2D,"(").concat(n,", uv);\n }\n ")}(e,t)}}var MNe="\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",LNe="\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",zNe="\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",PNe="\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 BNe(e){return"offset".concat(e)}function WNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float ".concat(r,"() {return ").concat(n,";}");var a=S(e.shapeInfo.texShape,2),i=a[0],o=a[1];if(1===i&&1===o)return"\n float ".concat(r,"() {\n return sampleTexture(").concat(n,", halfCR);\n }\n ");var s=BNe(n);if(t)return"\n float ".concat(r,"() {\n vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], ").concat(s,");\n return sampleTexture(").concat(n,", uv);\n }\n ");var u=S(e.shapeInfo.texShape,2),c=u[0],l=u[1];return"\n float ".concat(r,"() {\n vec2 uv = uvFromFlat(").concat(c,", ").concat(l,", ").concat(s,");\n return sampleTexture(").concat(n,", uv);\n }\n ")}function VNe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n float ".concat(r,"(int index) {\n ").concat(KNe(e),"\n }\n ");var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n float ".concat(r,"(int index) {\n return sampleTexture(").concat(n,", halfCR);\n }\n ");var s=BNe(n);return 1===o?t?"\n float ".concat(r,"(int index) {\n vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[0]));\n return sampleTexture(").concat(n,", uv);\n }\n "):"\n float ".concat(r,"(int index) {\n vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / ").concat(i,".0);\n return sampleTexture(").concat(n,", uv);\n }\n "):1===i?t?"\n float ".concat(r,"(int index) {\n vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[1]), 0.5);\n return sampleTexture(").concat(n,", uv);\n }\n "):"\n float ".concat(r,"(int index) {\n vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / ").concat(o,".0, 0.5);\n return sampleTexture(").concat(n,", uv);\n }\n "):t?"\n float ".concat(r,"(int index) {\n vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], index + ").concat(s,");\n return sampleTexture(").concat(n,", uv);\n }\n "):"\n float ".concat(r,"(int index) {\n vec2 uv = uvFromFlat(").concat(i,", ").concat(o,", index + ").concat(s,");\n return sampleTexture(").concat(n,", uv);\n }\n ")}function UNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&P$(n,i)){if(t)return"\n float ".concat(a,"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n return sampleTexture(").concat(r,", uv);\n }\n ");var o=i[0],s=i[1];return"\n float ".concat(a,"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n return sampleTexture(").concat(r,", uv);\n }\n ")}var u=H$(n),c=u.newShape,l=u.keptDims,h=c;if(h.length<n.length){var p=QNe(e,h);return"\n ".concat(FNe(p,t),"\n float ").concat(a,"(int row, int col) {\n return ").concat(a,"(").concat($Ne(["row","col"],l),");\n }\n ")}if(e.shapeInfo.isUniform)return"\n float ".concat(a,"(int row, int col) {\n int index = round(dot(vec2(row, col), vec2(").concat(n[1],", 1)));\n ").concat(KNe(e),"\n }\n ");var f=i[0],d=i[1],v=BNe(r);return 1===d?t?"\n float ".concat(a,"(int row, int col) {\n float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / float(").concat(r,"TexShape[0]));\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(int row, int col) {\n float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / ").concat(f,".0);\n return sampleTexture(").concat(r,", uv);\n }\n "):1===f?t?"\n float ".concat(a,"(int row, int col) {\n float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(r,"Shape[1], 1, 1));\n vec2 uv = vec2((index + 0.5) / float(").concat(r,"TexShape[1]), 0.5);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(int row, int col) {\n float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n vec2 uv = vec2((index + 0.5) / ").concat(d,".0, 0.5);\n return sampleTexture(").concat(r,", uv);\n }\n "):t?"\n float ".concat(a,"(int row, int col) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * ").concat(r,"Shape[1] + col + ").concat(v,";\n vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(int row, int col) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * ").concat(n[1]," + col + ").concat(v,";\n vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n return sampleTexture(").concat(r,", uv);\n }\n")}function GNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=H$(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var h=QNe(e,l);return"\n ".concat(FNe(h,t),"\n float ").concat(a,"(int row, int col, int depth) {\n return ").concat(a,"(").concat($Ne(["row","col","depth"],c),");\n }\n ")}if(e.shapeInfo.isUniform)return"\n float ".concat(a,"(int row, int col, int depth) {\n int index = round(dot(vec3(row, col, depth),\n vec3(").concat(i,", ").concat(o,", 1)));\n ").concat(KNe(e),"\n }\n ");var p=e.shapeInfo.texShape,f=p[0],d=p[1],v=e.shapeInfo.flatOffset;if(d===i&&null==v)return t?"\n float ".concat(a,"(int row, int col, int depth) {\n int stride1 = ").concat(r,"Shape[2];\n float texR = float(row);\n float texC = dot(vec2(col, depth), vec2(stride1, 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(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(d,".0, ").concat(f,".0);\n return sampleTexture(").concat(r,", uv);\n }\n ");if(d===o&&null==v)return t?"\n float ".concat(a,"(int row, int col, int depth) {\n float texR = dot(vec2(row, col), vec2(").concat(r,"Shape[1], 1));\n float texC = float(depth);\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(int row, int col, int depth) {\n float texR = dot(vec2(row, col), vec2(").concat(n[1],", 1));\n float texC = float(depth);\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(d,".0, ").concat(f,".0);\n return sampleTexture(").concat(r,", uv);\n }\n ");var m=BNe(r);return t?"\n float ".concat(a,"(int row, int col, int depth) {\n // Explicitly use integer operations as dot() only works on floats.\n int stride0 = ").concat(r,"Shape[1] * ").concat(r,"Shape[2];\n int stride1 = ").concat(r,"Shape[2];\n int index = row * stride0 + col * stride1 + depth + ").concat(m,";\n vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(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(f,", ").concat(d,", index);\n return sampleTexture(").concat(r,", uv);\n }\n ")}function jNe(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=H$(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var h=QNe(e,c);return"\n ".concat(FNe(h,t),"\n float ").concat(a,"(int row, int col, int depth, int depth2) {\n return 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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(v,".0, ").concat(d,".0);\n return sampleTexture(").concat(r,", uv);\n }\n ");if(v===i&&null==p)return t?"\n float ".concat(a,"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3(").concat(r,"Shape[1] * ").concat(r,"Shape[2], ").concat(r,"Shape[2], 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n return sampleTexture(").concat(r,", uv);\n }\n "):"\n float ".concat(a,"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3(").concat(n[1]*n[2],", ").concat(n[2],", 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(v,".0, ").concat(d,".0);\n return sampleTexture(").concat(r,", uv);\n }\n ");var b=BNe(r);return t?"\n float 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null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=a.map((function(e){return e.shapeInfo})),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=ONe(a,o,t),u=zIe(e.gl,s),c=e.createProgram(u);return k0().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(e.buildVao(c),Object.assign({program:t,fragmentShader:u,source:s,webGLProgram:c,inShapeInfos:i,outShapeInfo:o},tSe(e,t,c)))}function tSe(e,t,n){var r,a,i,o,s=[],u=[],c=null;o=e.getUniformLocation(n,"NAN",!1),1===k0().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(n,"INFINITY",!1));var l,h=!1,p=O(t.variableNames);try{for(p.s();!(l=p.n()).done;){var f=l.value,d={name:f,uniform:e.getUniformLocation(n,f,h),offset:e.getUniformLocation(n,"offset".concat(f),h)};t.enableShapeUniforms&&(d.shape=e.getUniformLocation(n,"".concat(f,"Shape"),h),d.texShape=e.getUniformLocation(n,"".concat(f,"TexShape"),h)),s.push(d)}}catch(e){p.e(e)}finally{p.f()}if(t.enableShapeUniforms&&(r=e.getUniformLocation(n,"outShape",h),i=e.getUniformLocation(n,"outShapeStrides",h),a=e.getUniformLocation(n,"outTexShape",h)),t.customUniforms){var v,m=O(t.customUniforms);try{for(m.s();!(v=m.n()).done;){var g=v.value;u.push(e.getUniformLocation(n,g.name,h))}}catch(e){m.e(e)}finally{m.f()}}return{variablesLocations:s,customUniformLocations:u,infLoc:c,nanLoc:o,outShapeLocation:r,outShapeStridesLocation:i,outTexShapeLocation:a}}function nSe(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,a=t[n],i=a.shape;if(!P$(r,i))throw Error("Binary was compiled with different shapes than "+"the current args. 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Int32Array(g))}}if(t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a)for(var y=0;y<t.program.customUniforms.length;++y){var b=t.program.customUniforms[y],x=t.customUniformLocations[y],k=a[y];if("float"===b.type)e.gl.uniform1fv(x,k);else if("vec2"===b.type)e.gl.uniform2fv(x,k);else if("vec3"===b.type)e.gl.uniform3fv(x,k);else if("vec4"===b.type)e.gl.uniform4fv(x,k);else if("int"===b.type)e.gl.uniform1iv(x,k);else if("ivec2"===b.type)e.gl.uniform2iv(x,k);else if("ivec3"===b.type)e.gl.uniform3iv(x,k);else{if("ivec4"!==b.type)throw Error("uniform type ".concat(b.type," is not supported yet."));e.gl.uniform4iv(x,k)}}e.executeProgram()}function aSe(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var 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this.throwIfDisposed(),wSe(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),ASe(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),CSe(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),TSe(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),NSe(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(nNe(this.gl,this.framebuffer),this.outputTexture=null),OIe(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return OSe(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return FSe(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return _Se(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=RSe(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,n,r=this;if(k0().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return DSe(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=fSe(n));var r=UIe(n);OIe(n,(function(){return n.attachShader(r,t.vertexShader)})),OIe(n,(function(){return n.attachShader(r,e)})),GIe(n,r);var a=Object.assign(r,{vao:this.createVertexArray()});return this.debug&&jIe(n,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var n=this.gl;OIe(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),ESe(n,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(OIe(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&jIe(this.gl,this.program),OIe(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?QIe(this.gl,e,t):$Ie(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),OIe(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(),eNe(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=S(RIe(t,n),2),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)}},{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&&jIe(this.gl,this.program),rNe(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}OIe(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),OIe(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=MIe(this.gl,2===k0().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===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2!==k0().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:(t=c(o().mark((function e(t){var n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,U$((function(){return n.disposed||n.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)}))),function(e){return t.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;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in k0().platform&&(r=k0().platform.setTimeoutCustom.bind(k0().platform)),U$((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),tNe(this.gl,e,this.framebuffer),this.debug&&rNe(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(tNe(this.gl,this.outputTexture,this.framebuffer),this.debug&&rNe(this.gl)):nNe(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;tNe(r,e,this.framebuffer),this.debug&&rNe(r),this.outputTexture=e,OIe(r,(function(){return r.viewport(0,0,t,n)})),OIe(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),OIe(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.")}}]),e}();var zSe=lge,PSe=dge,BSe=vge,WSe=mge,VSe=ige,USe=wge,GSe=Sge,jSe=Tge,HSe=Age,qSe=Oge,KSe=Mge,XSe=Vge,YSe=Uge,JSe=Gge,ZSe=qge,QSe=Yge,$Se=Qge,eTe=tye,tTe=nye,nTe=iye,rTe=oye,aTe=cye,iTe=pye,oTe=mye,sTe=yye,uTe=Nye,cTe=Aye,lTe=_ye,hTe=Lye,pTe=zye,fTe=Pye,dTe=Vye,vTe=Uye,mTe=Yme,gTe=Hye,yTe=Xye,bTe=Yye,xTe=Jye,kTe=Zye,wTe=rbe,ITe=obe,NTe=ube,STe=lbe,TTe=hbe,ETe=pbe,CTe=mbe,ATe=bbe,RTe=kye,_Te=xbe;function OTe(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function FTe(e,t){return 1===t?[e]:OTe(e,t)}var DTe=function(){function e(t){if(l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=iSe(this.outputShape.length),0===this.rank)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{var n=FTe("rc",this.rank),r=JNe(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n void main() {\n ".concat(r," rc = getOutputCoords();\n\n if(").concat(a,") {\n setOutput(vec4(0));\n } else {\n ").concat(i,"\n\n setOutput(vec4(").concat(o,"));\n }\n }\n ")}}return p(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n int r = ".concat(t[0],";\n int c = ").concat(t[1],";\n int rp1 = r + 1;\n int cp1 = c + 1;\n\n bool cEdge = cp1 >= ").concat(n,";\n bool rEdge = rp1 >= ").concat(r,";\n ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n cEdge ? 0. : getA(").concat(t[1],"),\n rEdge ? 0. : getA(").concat(t[2],"),\n rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}(),MTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=iSe(this.outputShape.length);for(var r,a,i,o="",s=0;s<4;s++){var u="thisRC = rc;";s%2==1&&(u+="thisRC.z += 1;"),s>1&&(u+="thisRC.y += 1;"),o+="\n ".concat(u,"\n ").concat(s>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[").concat(s,"] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ").concat(s>0?"}":"","\n ")}this.userCode="\n ".concat((r=n,a=this.enableShapeUniforms,i=a?function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"index",r=e.map((function(e,t){return t})),a=CNe(r,t);return a.map((function(t,r){var i="int ".concat(e[r]," = ").concat(n," / ").concat(a[r]),o=r===a.length-1?"int ".concat(e[r+1]," = ").concat(n," - ").concat(e[r]," * ").concat(a[r]):"index -= ".concat(e[r]," * ").concat(a[r]);return"".concat(i,"; ").concat(o,";")})).join("")}(["r","c","d"],"inputShape"):TNe(["r","c","d"],r),"\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ".concat(i,"\n return ivec3(r, c, d);\n }\n ")),"\n ").concat(this.enableShapeUniforms?"\n int getFlatIndex(ivec3 coords) {\n return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n }\n":ANe(t),"\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n ").concat(o,"\n\n setOutput(result);\n }\n ")}));var LTe=function(){function e(t){l(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return p(e,[{key:"acquireTexture",value:function(e,t,n){var r=PTe(t,n),a=BTe(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=zTe(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===IIe.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===IIe.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===IIe.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===IIe.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===IIe.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 a=PTe(n,r),i=BTe(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=zTe(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=k0().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],c=u&&u.indexOf(e);if(null==c||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),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:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{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.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function zTe(e,t,n,r,a){var i,o=function(e,t){switch(e){case IIe.PACKED_2X2_FLOAT32:return ISe(t);case IIe.PACKED_2X2_FLOAT16:return SSe(t);case IIe.UNPACKED_FLOAT32:return gSe(t);case IIe.UNPACKED_FLOAT16:return bSe(t);case IIe.PACKED_4X1_UNSIGNED_BYTE:return kSe(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=S(RIe(e[0],e[1]),2);i=s[0]*s[1]}else{var u=S(CIe(e[0],e[1]),2);i=u[0]*u[1]}var c=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;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function PTe(e,t){if(e===wIe.UPLOAD)return IIe.PACKED_2X2_FLOAT32;if(e===wIe.RENDER||null==e)return function(e){return k0().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?IIe.PACKED_2X2_FLOAT32:IIe.UNPACKED_FLOAT32:e?IIe.PACKED_2X2_FLOAT16:IIe.UNPACKED_FLOAT16}(t);if(e===wIe.DOWNLOAD||e===wIe.PIXELS)return IIe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function BTe(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var WTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=iSe(this.outputShape.length),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 ")})),VTe="if (isnan(x)) return x;",UTe="return x;",GTe="return abs(x);";var jTe="return (x >= 0.0) ? x : (exp(x) - 1.0);",HTe=VTe+"\n return (x < 0.0) ? 0.0 : x;\n",qTe=VTe+"\n return (x < 0.0) ? 0.0 : min(6.0, x);\n",KTe="return x;",XTe="return 1.0 / (1.0 + exp(-1.0 * x));",YTe="return x;",JTe="\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",ZTe="\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",QTe="\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",$Te="return 1.0 / (1.0 + exp(-1.0 * x));",eEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=iSe(this.outputShape.length),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 ")})),tEe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=iSe(this.outputShape.length);var n=t.length,r=FTe("rc",n),a=JNe(n),i=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),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n void main() {\n ".concat(a," rc = getOutputCoords();\n vec4 packedInput = getA(").concat(i,");\n\n setOutput(getChannel(packedInput, ").concat(s,"));\n }\n ")})),nEe=Qte,rEe={};var aEe=k0().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var iEe=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e){var t,n,r;if(l(this,s),(t=i.call(this)).pendingRead=new WeakMap,t.pendingDisposal=new WeakSet,t.dataRefCount=new WeakMap,t.numBytesInGPU=0,t.uploadWaitMs=0,t.downloadWaitMs=0,t.lastGlFlushTime=0,t.warnedAboutMemory=!1,t.pendingDeletes=0,t.disposed=!1,!k0().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof LSe)n=e;else{var a=EIe(k0().getNumber("WEBGL_VERSION"),e);n=new LSe(a)}t.binaryCache={},t.gpgpuCreatedLocally=!1}else{var o=EIe(k0().getNumber("WEBGL_VERSION"));n=new LSe(o),t.binaryCache=((r=k0().getNumber("WEBGL_VERSION"))in rEe||(rEe[r]={}),rEe[r]),t.gpgpuCreatedLocally=!0}return t.gpgpu=n,t.canvas=t.gpgpu.gl.canvas,t.textureManager=new LTe(t.gpgpu),t.numMBBeforeWarning=null==k0().global.screen?1024:k0().global.screen.height*k0().global.screen.width*window.devicePixelRatio*600/1024/1024,t.texData=new S$(x(t),Q6()),t}return p(s,[{key:"nextDataId",value:function(){return s.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"writeTexture",value:function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=cNe(t),c=new hSe(u,!1,i),l=this.runWebGLProgram(c,[o],n,[[r,a]]);return l.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,n){if((k0().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||k0().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={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:wIe.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{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,a){if(k0().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:wIe.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new eEe(o,KTe):new WTe(o,KTe);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,p,f=null!=this.activeTimers;(f&&(h=z4()),"complex64"===r)?p=die(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=z4()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:(a=c(o().mark((function e(t){var n,r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S;return o().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),a=r.values,i=r.shape,s=r.slice,u=r.dtype,c=r.complexTensorInfos,l=r.isPacked,null==s){e.next=11;break}return h=l?new eEe(i,KTe):new WTe(i,KTe),p=this.runWebGLProgram(h,[{dataId:t,shape:i,dtype:u}],u),f=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",f);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!k0().getBool("DEBUG")){e.next=16;break}if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==k0().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==u&&k0().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),d=(m=this.gpgpu).createBufferFromTexture.apply(m,[g.texture.texture].concat(T(AIe(i))))),this.pendingRead.set(t,[]),"complex64"===u){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==u){e.next=31;break}return e.next=25,Promise.all([this.read(c.real.dataId),this.read(c.imag.dataId)]);case 25:b=e.sent,x=b[0],k=b[1],y=die(x,k),e.next=32;break;case 31:null==d?y=this.getValuesFromTexture(t):(w=L$(i),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=v&&this.disposeIntermediateTensorInfo(v),null!=d&&OIe(I=this.gpgpu.gl,(function(){return I.deleteBuffer(d)})),N=this.convertAndCacheOnCPU(t,y),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Q6().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)}))),function(e){return a.apply(this,arguments)})},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new eEe(a,KTe):new WTe(a,KTe);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var p=this.decode(e,t.customTexShape),f=Q6().makeTensorFromTensorInfo(p),d=this.texData.get(p.dataId);return Object.assign({tensorRef:f},d.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return W4(e)}));return K6(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return K6(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!FIe(n)){if(k0().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,a=t.isPacked,i=L$(n);if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(T(AIe(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=k0().getBool("WEBGL_PACK")&&!0===a,h=l?cNe(n):n,p=l?new cSe(h):new uSe(h),f=this.runWebGLProgram(p,[{shape:h,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),v}},{key:"timerAvailable",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=U4(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),s=U4(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return c(o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,u.kernelMs=O$(n),u.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:s[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:u.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",u);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:z4(),endMs:null}}},{key:"endTimer",value:function(e){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=z4(),e)}},{key:"getQueryTime",value:(r=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().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)}))),function(e){return r.apply(this,arguments)})},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e),r=n.complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{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,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),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.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:aEe;return k0().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&L$(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){z3("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return nEe(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new eEe(e.shape,t),a=this.compileAndRun(r,[e],n);return Q6().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=mTe(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(k0().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,GTe,e.dtype);var n=new WTe(e.shape,GTe),r=this.compileAndRun(n,[e]);return Q6().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&$$(n[0])){var a=n.map((function(e){return B4(e)}));r=this.write(a,e,t)}else 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){return Q6().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new tEe(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new DTe(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[sNe(e.shape)].concat(T(uNe(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[sNe(t)].concat(T(uNe(t))),i=new MTe(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&F$(L$(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=cNe(a);o=r?new sSe(s):new oSe(s);var u=[null!=t?t:AIe(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===kIe.DENSE){var c=null!=o?o:AIe(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===L$(s.shape))return u.values=q$(s.dtype,0),s;var l=[],h=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=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&L$(t.shape)<=k0().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)}if(a.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),l.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!pNe(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),l.push(t),n=a.texData.get(t.dataId),r.shape=i}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var p,f={shape:s.shape,texData:u,isUniform:!1},d=aSe(e,h,f),v=this.getAndSaveBinary(d,(function(){return eSe(a.gpgpu,e,h,f)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),k0().get("ENGINE_COMPILE_ONLY")||rSe(this.gpgpu,v,h,f,r),l.forEach((function(e){return a.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)}));var g=k0().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=z4();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!k0().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===i){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s}},{key:"compileAndRun",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];n=n||t[0].dtype;var i=this.runWebGLProgram(e,t,n,r,a);return i}},{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(!k0().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));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=e8((function(){if(!k0().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=k0().getBool("DEBUG");k0().set("DEBUG",!1);var n=e.abs(Z7(1e-8)).dataSync()[0];if(k0().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,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=z4());var l=t.texShape;if(null==l&&(l=lNe(n,s),t.texShape=l),null!=a){var h,p=cNe(n),f=l[1],d=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=S(RIe(l[0],l[1]),2);f=m[0],d=m[1]}h=s?new pSe(p,v):new hSe(p,v);var g=v?[d,f]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?wIe.PIXELS:wIe.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],k=this.runWebGLProgram(h,[y],r,x,!0),w=this.texData.get(k.dataId);t.texShape=w.texShape,t.isPacked=w.isPacked,t.usage=w.usage,k0().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=w.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=z4()-u)}else{var I=this.acquireTexture(l,o,r,s);t.texture=I}}}},{key:"convertAndCacheOnCPU",value:function(e,t){var n=this.texData.get(e),r=n.dtype;return 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 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r=tSe(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,c=r.outShapeStridesLocation,l=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=c,n.outTexShapeLocation=l}}},{key:"createTensorFromGPUData",value:function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=Q6().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");var u=s.writeTexture(r,t,n,a,i,o);return Q6().makeTensorFromDataId(u,t,n,s)}}]),s}(T$);iEe.nextDataId=0;var oEe="4.6.0";function sEe(){k0().set("WEBGL_FORCE_F16_TEXTURES",!0)}R5()&&a8("webgl",(function(){return new iEe}),2);var uEe={forceHalfFloat:sEe},cEe=p((function e(t,n,r){l(this,e),this.variableNames=["A","B"],this.outputShape=A7(n,r),this.enableShapeUniforms=iSe(this.outputShape.length),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 ")})),lEe="\n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n",hEe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];l(this,e),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=A7(n,r);var i=this.outputShape.length;this.enableShapeUniforms=iSe(i);var o="";if(a)if(0===i||1===L$(this.outputShape))o="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else{var s=JNe(i);if(o="\n ".concat(s," coords = getOutputCoords();\n "),1===i)this.enableShapeUniforms?o+="\n result.y = (coords + 1) >= outShape ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n ":o+="\n result.y = (coords + 1) >= ".concat(this.outputShape[0]," ? 0. : result.y;\n result.z = 0.;\n result.w = 0.;\n ");else{var u=FTe("coords",i);this.enableShapeUniforms?o+="\n bool nextRowOutOfBounds =\n (".concat(u[i-2]," + 1) >= outShape[").concat(i," - 2];\n bool nextColOutOfBounds =\n (").concat(u[i-1]," + 1) >= outShape[").concat(i," - 1];\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n "):o+="\n bool nextRowOutOfBounds =\n (".concat(u[i-2]," + 1) >= ").concat(this.outputShape[i-2],";\n bool nextColOutOfBounds =\n (").concat(u[i-1]," + 1) >= ").concat(this.outputShape[i-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(o,"\n\n setOutput(result);\n }\n ")}));function pEe(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 fEe={kernelName:W1,backendName:"webgl",kernelFunc:pEe};function dEe(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),s=pEe({inputs:{x:r},backend:n}),u=pEe({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var vEe={kernelName:Z0,backendName:"webgl",kernelFunc:dEe},mEe="return (a < 0.) ? b * a : a;",gEe="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var yEe={kernelName:q1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",M4(i,"float32")),s=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hEe(gEe,a.shape,o.shape):new cEe(mEe,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},bEe="return (a < 0.) ? b * a : a;",xEe="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var kEe={kernelName:C2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hEe(xEe,r.shape,a.shape):new cEe(bEe,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function wEe(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,c=s,l=a||u.dtype;if(c.shouldExecuteOnCPU([u])&&null!=r){var h=c.texData.get(u.dataId),p=r(h.values,l);return c.makeTensorInfo(u.shape,l,p)}return i=k0().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new eEe(u.shape,n):new WTe(u.shape,t),c.runWebGLProgram(i,[u],l)}}function IEe(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,a=void 0!==r&&r,i=e.supportsComplex,o=void 0!==i&&i,s=e.cpuKernelImpl,u=e.dtype;return function(e){var r=e.inputs,i=e.backend,c=r.a,l=r.b,h=i;if(o&&"complex64"===c.dtype){var p=h.texData.get(c.dataId),f=h.texData.get(l.dataId),d=[[p.complexTensorInfos.real,f.complexTensorInfos.real],[p.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=S(e,2),r=n[0],a=n[1],i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o={dataId:a.dataId,dtype:a.dtype,shape:l.shape},s=new cEe(t,c.shape,l.shape);return h.runWebGLProgram(s,[i,o],h5(r.dtype,a.dtype))})),v=S(d,2),m=v[0],g=v[1],y=dEe({inputs:{real:m,imag:g},backend:h});return h.disposeIntermediateTensorInfo(m),h.disposeIntermediateTensorInfo(g),y}var b,x=u||h5(c.dtype,l.dtype);if(("string"===c.dtype||"string"===l.dtype||h.shouldExecuteOnCPU([c,l]))&&null!=s){var k=h.texData.get(c.dataId).values,w=h.texData.get(l.dataId).values,I="string"===c.dtype?qie(k):k,N="string"===c.dtype?qie(w):w,T=S(s(c.shape,l.shape,I,N,x),2),E=T[0],C=T[1],A=h.makeTensorInfo(C,x);return h.texData.get(A.dataId).values=E,A}return b=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new hEe(n,c.shape,l.shape,a):new cEe(t,c.shape,l.shape),h.runWebGLProgram(b,[c,l],x)}}function NEe(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if("linear"===e)return t?YTe:UTe;if("relu"===e)return t?ZTe:HTe;if("elu"===e)return t?JTe:jTe;if("relu6"===e)return t?QTe:qTe;if("prelu"===e)return t?xEe:bEe;if("leakyrelu"===e)return t?gEe:mEe;if("sigmoid"===e)return t?$Te:XTe;throw new Error("Activation ".concat(e," has not been implemented for the WebGL backend."))}var SEe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],s=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,u=arguments.length>7&&void 0!==arguments[7]&&arguments[7],c=arguments.length>8&&void 0!==arguments[8]&&arguments[8];l(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r,this.enableShapeUniforms=iSe(this.outputShape.length);var h=a?t[1]:t[2],p=Math.ceil(h/2),f=a?"i * 2, rc.y":"rc.y, i * 2",d=i?"rc.z, i * 2":"i * 2, rc.z",v=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=i?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",y="";s&&(g=u?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ".concat(s,"\n }"):c?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ".concat(s,"\n }"):"vec4 activation(vec4 x) {\n ".concat(s,"\n }"),y="result = activation(result);");var b=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),u&&this.variableNames.push("preluActivationWeights"),c&&this.variableNames.push("leakyreluAlpha");var x="rc.x",k="rc.x";t[0]<n[0]?x="imod(rc.x, ".concat(t[0],")"):n[0]<t[0]&&(k="imod(rc.x, ".concat(n[0],")")),this.userCode="\n ".concat(g,"\n // 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binaryOpComplex(\n float areal, float aimag, float breal, float bimag) {\n ".concat(t,"\n }\n\n void main() {\n float areal = getARealAtOutCoords();\n float aimag = getAImagAtOutCoords();\n float breal = getBRealAtOutCoords();\n float bimag = getBImagAtOutCoords();\n setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n }\n ")})),AEe="return a * b;";function REe(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=h5(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),c=new CEe(TEe,a.shape,i.shape),l=new CEe(EEe,a.shape,i.shape),h=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],p=r.runWebGLProgram(c,h,"float32"),f=r.runWebGLProgram(l,h,"float32"),d=dEe({inputs:{real:p,imag:f},backend:r});return r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var v=r.texData.get(a.dataId),m=r.texData.get(i.dataId),g=S(iTe(a.shape,i.shape,v.values,m.values,o),2),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hEe(AEe,a.shape,i.shape):new cEe(AEe,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var _Ee={kernelName:g2,backendName:"webgl",kernelFunc:REe};function OEe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=L$(a.shape),u=G$(i,s),c=L$(u);F$(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. The new shape and old ")+"shape must have the same number of elements."}));var l=o.texData.get(a.dataId);return!l.isPacked||pNe(a.shape,u)||null!==l.texture&&pNe(l.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[sNe(e.shape)].concat(T(uNe(e.shape))),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[sNe(t)].concat(T(uNe(t))),o=new MTe(i,r),s=[r],u=n.runWebGLProgram(o,[a],e.dtype,s,!0);return{dataId:u.dataId,shape:t,dtype:u.dtype}}(a,u,o)}var FEe={kernelName:z2,backendName:"webgl",kernelFunc:OEe},DEe=p((function e(t,n){l(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.outSize;this.outputShape=[a,o];var s=4*Math.floor(r/4),u=r%4,c="sumValue += dot(values, ones);";if(null!=n){var h=1/n;c="sumValue += dot(values * ".concat(B$(h)?h.toPrecision(2):h,", ones);")}var p="";i%r>0&&(p="\n if (inIdx < 0 || inIdx >= ".concat(i,") {\n return 0.0;\n }\n ")),this.userCode="\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float 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bestValue = vec4(replace.x ? candidate.x : bestValue.x,\n replace.y ? candidate.y : bestValue.y,\n replace.z ? candidate.z : bestValue.z,\n replace.w ? candidate.w : bestValue.w);\n bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n srcIdx++;\n }\n setOutput(bestIndex);\n }\n ")}));function uCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=$ae(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new oCe(s,n,null==r),c=[t];null!=r&&c.push(r);var l=e.runWebGLProgram(u,c,"int32");if(1===l.shape[1])return l;var h=uCe(e,t,n,l);return e.disposeIntermediateTensorInfo(l),h}function cCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=null!=r?r.shape:t.shape,i=a[a.length-1],o=$ae(i),s=new sCe(a,o,n,null==r),u=null==r?[t]:[t,r],c=e.runWebGLProgram(s,u,"int32");if(c.shape.length===t.shape.length){var l=cCe(e,t,n,c);return e.disposeIntermediateTensorInfo(c),l}return c}function lCe(e,t,n,r){var a=[n];if(j7("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!k0().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=S(U7(s.shape,a),2),c=u[0],l=L$(u[1]),h=OEe({inputs:{x:s},backend:e,attrs:{shape:[-1,l]}});i.push(h);var p=uCe(e,h,r);i.push(p);var f=OEe({inputs:{x:p},backend:e,attrs:{shape:c}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return cCe(e,t,r)}var hCe={kernelName:_0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=UEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMax",[i[0]],s.shape.length);var c=lCe(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}};var pCe={kernelName:O0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=H7(i,a.shape.length),s=a,u=[];null!=o&&(s=UEe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=K7(i.length,s.shape.length)),j7("argMin",[i[0]],s.shape.length);var c=lCe(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},fCe=wEe({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n"}),dCe={kernelName:F0,backendName:"webgl",kernelFunc:fCe},vCe=wEe({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),mCe={kernelName:D0,backendName:"webgl",kernelFunc:vCe},gCe=wEe({opSnippet:"if (isnan(x)) return x;\n return atan(x);\n"}),yCe={kernelName:M0,backendName:"webgl",kernelFunc:gCe},bCe=IEe({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 bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),xCe={kernelName:z0,backendName:"webgl",kernelFunc:bCe},kCe=wEe({opSnippet:"if (isnan(x)) return x;\n if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),wCe={kernelName:L0,backendName:"webgl",kernelFunc:kCe},ICe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideHeight,u=t.strideWidth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===n,g="((batch * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),b="0.0";if(m||(b="-1.0 / 1e-20"),r){var x=">=";this.userCode="\n const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n const ivec2 pads = ivec2(").concat(d,", ").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(p,";\n wR += ").concat(c,") {\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(f,";\n wC += ").concat(h,") {\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(x," currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ").concat(a?i?g:y:"wR * ".concat(f," + wC"),";\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ")}else{var k="max",w="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(w="avgValue / max(count, 1.0)");var I=4*Math.floor(o/4),N=o%4,S="\n if (".concat(m,") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ").concat(k,"(values, minMaxValue);\n }\n ");this.userCode="\n const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n const float initializationValue = ").concat(b,";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int 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(b,");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < ").concat(p,";\n wR += ").concat(c,") {\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(I,"; wC += 4) {\n int xC = xCCorner + wC * ").concat(h,";\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(h,", d),\n getValue(batch, xR, xC + 2 * ").concat(h,", d),\n getValue(batch, xR, xC + 3 * ").concat(h,", d)\n );\n\n ").concat(S,"\n }\n\n int xC = xCCorner + ").concat(I,";\n if (").concat(1===N,") {\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===N,") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(h,", d),\n initializationValue,\n initializationValue\n );\n\n ").concat(S,"\n } else if (").concat(3===N,") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(h,", d),\n getValue(batch, xR, xC + 2 * ").concat(h,", d),\n initializationValue\n );\n\n ").concat(S,"\n }\n }\n setOutput(").concat(w,");\n }\n ")}})),NCe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideDepth,u=t.strideHeight,c=t.strideWidth,h=t.dilationDepth,p=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,v=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var x="avg"===n,k="0.0";if(x||(k="-1.0 / 1e-20"),r){var w=">=";this.userCode="\n const ivec3 strides =\n ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\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(d,";\n wD += ").concat(h,") {\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(p,") {\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(m,";\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, 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(w," currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ").concat(a?i?"(((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(m," +\n wR * ").concat(m," + wC"),";\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ")}else{var I="max",N="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(N="avgValue / max(count, 1.0)");var S=4*Math.floor(o/4),T=o%4,E="\n if (".concat(x,") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ").concat(I,"(values, minMaxValue);\n }\n ");this.userCode="\n const ivec3 strides =\n ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\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(d,";\n wD += ").concat(h,") {\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(p,") {\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(f,";\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(f,", ch),\n getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n getValue(batch, xD, xR, xC + 3 * ").concat(f,", ch)\n );\n\n ").concat(E,"\n }\n\n int xC = xCCorner + ").concat(S,";\n if (").concat(1===T,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ").concat(E,"\n } else if (").concat(2===T,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(f,", ch),\n initializationValue,\n initializationValue\n );\n\n ").concat(E,"\n } else if (").concat(3===T,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(f,", ch),\n getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n initializationValue\n );\n\n ").concat(E,"\n }\n }\n }\n setOutput(").concat(N,");\n }\n ")}}));var SCe={kernelName:P0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;wNe(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(L8(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return pEe({inputs:{x:a},backend:n});var l=new ICe(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var TCe={kernelName:W0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=S8(a.shape,i,o,[1,1,1],s,u,c),h=new NCe(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},ECe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=1/(n*r);this.userCode="\n const ivec2 pads = ivec2(".concat(h,", ").concat(p,");\n const float avgMultiplier = float(").concat(f,");\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(u,";\n wR += ").concat(o,") {\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(c,";\n wC+= ").concat(s,") {\n float dyC = float(dyCCorner + wC) / ").concat(i,".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 ")})),CCe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,v=p-1-t.padInfo.front,m=f-1-t.padInfo.top,g=d-1-t.padInfo.left,y=1/(n*r*a);this.userCode="\n const ivec3 pads = ivec3(".concat(v,", ").concat(m,", ").concat(g,");\n const float avgMultiplier = float(").concat(y,");\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(p,";\n wD += 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t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=S8(i.shape,o,s,[1,1,1],u,c),h=new CCe(l);return n.runWebGLProgram(h,[a],i.dtype)}};var RCe={kernelName:B0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;wNe([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=N8(o.shape,s,u,1,c),h=new ECe(l);return n.runWebGLProgram(h,[a],o.dtype)}};var _Ce={kernelName:U0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return jEe({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},OCe=p((function e(t,n,r,a,i,o){l(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],A7(t,n),A7(t,r);var s="0.0";null!=a&&(A7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(A7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n void main() {\n 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n=JNe(this.rank),r=FTe("coords",this.rank),a=FTe("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2(".concat(a.slice(-2).join(),")"),o="getChannel(getSource(".concat(a.join(),"), ").concat(i,")"),s="\n result.x = ".concat(o,";\n if (++").concat(r[this.rank-1]," < ").concat(t[this.rank-1],") {\n ++").concat(a[this.rank-1],";\n result.y = ").concat(o,";\n --").concat(a[this.rank-1],";\n }\n "),u=1===this.rank?"":"\n --".concat(r[this.rank-1],";\n if (++").concat(r[this.rank-2]," < ").concat(t[this.rank-2],") {\n ++").concat(a[this.rank-2],";\n result.z = ").concat(o,";\n if (++").concat(r[this.rank-1]," < ").concat(t[this.rank-1],") {\n ++").concat(a[this.rank-1],";\n result.w = ").concat(o,";\n }\n }\n "),c=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 void main() {\n ".concat(n," 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u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var BCe={kernelName:Z2,backendName:"webgl",kernelFunc:PCe},WCe={kernelName:G0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;F$(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=tie(a.shape,i,s),c=nie(u.length,i.length),l=rie(a.shape,i,s),h=aie(o,i.length),p=iie(l,o,i.length),f=[],d=OEe({inputs:{x:a},backend:n,attrs:{shape:u}}),v=UEe({inputs:{x:d},backend:n,attrs:{perm:c}}),m=OEe({inputs:{x:v},backend:n,attrs:{shape:l}}),g=PCe({inputs:{x:m},backend:n,attrs:{begin:h,size:p}});return f.push(d),f.push(v),f.push(m),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var VCe={kernelName:j0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=PSe(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}};var UCe={kernelName:H0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS"),s=k0().getNumber("WEBGL_VERSION");if(r.shouldExecuteOnCPU([a,i])||1===s){var u=r.texData.get(a.dataId).values,c=r.texData.get(i.dataId).values,l=S(WSe(a.shape,i.shape,u,c,a.dtype),2),h=l[0],p=l[1],f=r.makeTensorInfo(p,a.dtype);return r.texData.get(f.dataId).values=h,f}return t=o?new hEe("\n int r = int(a.r) & int(b.r);\n int g = int(a.g) & int(b.g);\n int rb = int(a.b) & int(b.b);\n int ra = int(a.a) & int(b.a);\n return vec4(r, g, rb, ra);\n",a.shape,i.shape,!1):new cEe("\n return float(int(a.r) & int(b.r));\n",a.shape,i.shape),r.runWebGLProgram(t,[a,i],a.dtype)}};var GCe={kernelName:K0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=A7(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},jCe=IEe({opSnippet:"return float(a != b);",cpuKernelImpl:sTe,dtype:"bool"}),HCe={kernelName:b2,backendName:"webgl",kernelFunc:jCe};function qCe(e){var t=e.inputs,n=e.backend,r=t.input;return pEe({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var KCe={kernelName:D2,backendName:"webgl",kernelFunc:qCe};var XCe={kernelName:X0,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return pEe({inputs:{x:i},backend:r});var s=H9(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),c=dEe({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),c}if("complex64"===i.dtype){var l=qCe({inputs:{input:i},backend:r}),h=e({inputs:{x:l},backend:r,attrs:{dtype:o}});return 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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(p,"; wF++) {\n int xF = xFCorner + wF * ").concat(u,";\n\n if (xF < 0 || xF >= ").concat(t.inDepth,") {\n continue;\n }\n\n for (int wR = 0; wR < ").concat(f,"; wR++) {\n int xR = xRCorner + wR * ").concat(c,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC < ").concat(d,"; wC++) {\n int xC = xCCorner + wC * ").concat(h,";\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===m,") {\n dotProd +=\n getX(batch, xF, xR, xC, ").concat(v,") *\n getW(wF, wR, wC, ").concat(v,", d2);\n } else if (").concat(2===m,") {\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===m,") {\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 ")})),dAe=p((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],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=iSe(this.outputShape.length);for(var o=t.padInfo.left,s=t.strideWidth,u=t.dilationWidth,c=t.filterHeight,h=t.filterWidth,p=h,f="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",d=0;d<h;d++)f+="\n vec4 xTexelC".concat(2*d,";\n int xTexelC").concat(2*d,"Ready;\n vec4 xTexelC").concat(2*d+1,";\n int xTexelC").concat(2*d+1,"Ready;\n vec4 xC").concat(d,";");f+="\n for (int r = 0; r < ".concat(c,"; r++) {\n for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n ");for(var v=0;v<h;v++)f+="\n xTexelC".concat(2*v," = vec4(0.0);\n xTexelC").concat(2*v,"Ready = 0;\n xTexelC").concat(2*v+1," = vec4(0.0);\n xTexelC").concat(2*v+1,"Ready = 0;\n xC").concat(v," = vec4(0.0);");f+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR < inDims[0]) {\n ";for(var m=0;m<(p+1)/2;m++){var g=2*m;if(f+="\n xC = xCCorner + ".concat(g*u,";\n "),1===s){if(g<h&&(o%2==1?(f+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n xTexelC").concat(g," = 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 >= inDims[1]) {\n xTexelC").concat(g,".zw = vec2(0.0);\n }\n xTexelC").concat(g,"Ready = 1;\n }\n "),f+=1===u&&g>0?"\n xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n "):"\n xCOffset = xC + 1 - 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strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(g,".zw = vec2(0.0);\n }\n xTexelC").concat(g,"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n xTexelC").concat(g+1," = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC").concat(g+1,".zw = vec2(0.0);\n }\n xTexelC").concat(g+1,"Ready = 1;\n }\n\n xC").concat(g," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n "),g+1<h&&(f+="\n final = vec4(0.0);\n xCOffset = xC + 1 + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC".concat(g+1," = vec4(xTexelC").concat(g+1,".xy, final.xy);\n "))):(f+="\n if(xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n xTexelC").concat(g," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(g,".zw = vec2(0.0);\n }\n xTexelC").concat(g,"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(g+1,".zw = vec2(0.);\n }\n xTexelC").concat(g+1,"Ready = 1;\n }\n\n xC").concat(g," = vec4(\n xTexelC").concat(g,".xy, xTexelC").concat(g+1,".xy);\n "),g+1<h&&(f+="\n xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n "))));g<h&&(f+="\n wTexel = getW(r, ".concat(g,", d1, d2);\n dotProd += xC").concat(g,".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < ").concat(t.inChannels,") {\n dotProd += xC").concat(g,".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n "),g+1<h&&(f+="\n wTexel = getW(r, ".concat(g+1,", d1, d2);\n dotProd += xC").concat(g+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < ").concat(t.inChannels,") {\n dotProd += xC").concat(g+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n ")))}f+="\n }\n ",f+="\n }\n ",f+="\n }\n ";var b="",x="";r&&(b=a?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ".concat(r,"\n }"):i?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ".concat(r,"\n }"):"vec4 activation(vec4 x) {\n ".concat(r,"\n }"),x="result = activation(result);");var k=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(b,"\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - 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pad[0];\n d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n if(d0 < inputShape[").concat(o,"] && d0 >= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1 < inputShape[").concat(s,"] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (").concat(i,") {\n innerDims = vec2(d1, ch);\n result[").concat(2*h+p,"] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[").concat(2*h+p,"] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n ");this.userCode="\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ".concat(c,"\n\n ").concat(a.output," = result;\n }\n ")}));function mAe(e,t){var n=e.length;return n>=3?[].concat(T(e.slice(0,-3)),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function gAe(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=n.shape,v=i.texData.get(n.dataId),m=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=c){var k=mAe(c.shape,b);null!=k&&(c=OEe({inputs:{x:c},backend:i,attrs:{shape:k}}),x.push(c))}if(null!=s){var w=mAe(s.shape,b);null!=w&&(s=OEe({inputs:{x:s},backend:i,attrs:{shape:w}}),x.push(s))}if(!((1===g||1===y)&&m>1e3)&&v.isPacked&&b&&null!=v.texture&&d[2]%2!=0&&P$(v.shape.slice(-3),d.slice(-3))){var I=d[0]*d[1]*(d[2]+1),N={dataId:n.dataId,shape:[1,I,a.inChannels],dtype:n.dtype},S=v.shape;v.shape=v.shape.slice(),v.shape[v.shape.length-2]++,F$(pNe(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to 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t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,c=e.leakyreluAlpha,l=void 0===c?0:c,h=e.activation,p=void 0===h?null:h,f=r.filterWidth,d=r.filterHeight,v=r.inChannels,m=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*v,x=g*m,k=[r.batchSize,b,x],w=[];if(null!=u){var I=mAe(u.shape,y);null!=I&&(u=OEe({inputs:{x:u},backend:a,attrs:{shape:I}}),w.push(u))}if(null!=o){var N=mAe(o.shape,y);null!=N&&(o=OEe({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var S=OEe({inputs:{x:n},backend:a,attrs:{shape:[1,b,L$(n.shape)/b]}});w.push(S);var T=new vAe(k,r),E=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],C=a.runWebGLProgram(T,[t],"float32",E),A=OEe({inputs:{x:C},backend:a,attrs:{shape:k}});w.push(C),w.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===p,F=p?NEe(p,!0):null,D=new SEe(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",M4(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=OEe({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});w.push(z);for(var B=0,W=w;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var bAe={kernelName:e1,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dataFormat,l=a.dilations,h=a.dimRoundingMode,p=P8(c),f=T8(i.shape,o.shape,s,l,u,h,!1,p);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(f.strideWidth<=2&&"channelsLast"===p&&k0().getBool("WEBGL_EXP_CONV")){var d=new dAe(f),v=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",v)}else if(k0().getBool("WEBGL_CONV_IM2COL"))t=yAe({x:i,filter:o,convInfo:f,backend:r});else{var m=new pAe(f);t=r.runWebGLProgram(m,[i,o],"float32")}else t=gAe({x:i,filter:o,convInfo:f,backend:r});var g=OEe({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},xAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o="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(i,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n ").concat(o?"float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);","\n }\n }\n }\n setOutput(dotProd);\n }\n ")})),kAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o="channelsLast"===t.dataFormat,s=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=o?1:2,h=o?2:3,p=o?3:1;this.userCode="\n const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[").concat(p,"];\n\n ivec2 dyCorner = ivec2(coords[").concat(c,"], coords[").concat(h,"]) - 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(i,".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(o,") {\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 ")})),wAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,s=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,"; yF++) {\n int xF = wF + yF * ").concat(n," - ").concat(i,";\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(o,";\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(s,";\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 ")})),IAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=n-1-t.padInfo.front,c=r-1-t.padInfo.top,h=a-1-t.padInfo.left;this.userCode="\n const ivec3 pads = ivec3(".concat(u,", ").concat(c,", ").concat(h,");\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(i,".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(o,".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(s,".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 ")}));var NAe={kernelName:t1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=r.filterShape,h=P8(u),p=T8(a.shape,l,o,1,s,c,!1,h),f=new xAe(p);return n.runWebGLProgram(f,[a,i],"float32")}},SAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=iSe(this.outputShape.length);var n=t.filterHeight,r=t.filterWidth,a=n-1-t.padInfo.top,i=r-1-t.padInfo.left;this.userCode="\n const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n\n ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n vec4 result = vec4(0.);\n for (int wR = 0; wR < ").concat(n,"; wR++) {\n float dyR = float(dyRCorner + wR) / strides[0];\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n int wRPerm = ").concat(n," - 1 - wR;\n\n for (int wC = 0; wC < ").concat(r,"; wC++) {\n int wCPerm = ").concat(r," - 1 - wC;\n\n float dyC = float(dyCCorner + wC) / strides[1];\n bool idyCVal = (dyC >= 0.0) && (dyC < ").concat(t.outWidth,".0)\n && (fract(dyC) == 0.0);\n int idyC = int(dyC);\n\n float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ").concat(t.outWidth,".0)\n && (fract(dyC2) == 0.0);\n int idyC2 = int(dyC2);\n\n if (idyCVal && idyCVal2) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n dySample : getDy(batch, idyR, idyC2, d2);\n\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n\n dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample2.xy : dySample2.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal2) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC2, d2);\n vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n }\n }\n }\n setOutput(result);\n }\n ")}));var TAe={kernelName:n1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode,h=P8(c),p=T8(o,i.shape,s,1,u,l,!1,h);if(k0().getBool("WEBGL_PACK")&&"channelsLast"===h){var f=[[p.strideHeight,p.strideWidth]],d=new SAe(p);return n.runWebGLProgram(d,[a,i],"float32",f)}var v=new kAe(p);return n.runWebGLProgram(v,[a,i],"float32")}};var EAe={kernelName:r1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=E8(a.shape,i.shape,o,u,s),l=new fAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var CAe={kernelName:a1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,c=E8(a.shape,u,o,1,s),l=new wAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var AAe,RAe={kernelName:i1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=E8(r.inputShape,i.shape,s,1,o),c=new IAe(u);return n.runWebGLProgram(c,[a,i],"float32")}},_Ae=wEe({opSnippet:"if (isnan(x)) return x;\n return cos(x);\n",packedOpSnippet:"\n vec4 result = cos(x);\n bvec4 isNaN = isnan(x);\n ".concat(lEe,"\n return result;\n")}),OAe={kernelName:o1,backendName:"webgl",kernelFunc:_Ae},FAe=wEe({opSnippet:"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n"}),DAe={kernelName:s1,backendName:"webgl",kernelFunc:FAe},MAe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3],p=S(n,1)[0],f=S(r,2),d=f[0],v=f[1];this.outputShape=[p,d,v,h];var m="bilinear"===a?1:0,g="".concat(u-1,".0"),y="".concat(c-1,".0"),b=S(d>1?["".concat((u-1)/(d-1)),"(y2-y1) * height_ratio","y1*".concat(g," + float(y)*(height_scale)")]:["0.0","0.0","0.5 * (y1+y2) * ".concat(g)],3),x=b[0],k=b[1],w=b[2],I=S(v>1?["".concat((c-1)/(v-1)),"(x2-x1) * width_ratio","x1*".concat(y," + float(x)*(width_scale)")]:["0.0","0.0","0.5 * (x1+x2) * ".concat(y)],3),N=I[0],T=I[1],E=I[2];this.userCode="\n const float height_ratio = float(".concat(x,");\n const float width_ratio = float(").concat(N,");\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int y = coords[1];\n int x = coords[2];\n int d = coords[3];\n\n // get box vals\n float y1 = getBoxes(b,0);\n float x1 = getBoxes(b,1);\n float y2 = getBoxes(b,2);\n float x2 = getBoxes(b,3);\n\n // get image in batch index\n int bInd = round(getBoxInd(b));\n if(bInd < 0 || bInd >= ").concat(s,") {\n return;\n }\n\n float height_scale = ").concat(k,";\n float width_scale = ").concat(T,";\n\n float in_y = ").concat(w,";\n if( in_y < 0.0 || in_y > ").concat(g," ) {\n setOutput(float(").concat(i,"));\n return;\n }\n float in_x = ").concat(E,";\n if( in_x < 0.0 || in_x > ").concat(y," ) {\n setOutput(float(").concat(i,"));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if(").concat(m," == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n ")})),LAe={kernelName:l1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=new MAe(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(AAe||(AAe={}));var zAe=p((function e(t,n,r,a){l(this,e),this.op=t,this.outputShape=n,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var i=this.outputShape.length,o=this.op===AAe.Prod?"1.0":"0.0",s=r?o:"getX(".concat(PAe(i,"coords",this.op),")"),u=this.outputShape[this.outputShape.length-1],c="",h="";r?(c=a?"end != ".concat(u-1):"end != 0",h=a?"end + 1":"end - 1"):(c=a?"end + pow2 < ".concat(u):"end >= pow2",h=a?"end + pow2":"end - pow2"),this.userCode="\n void main() {\n ".concat(JNe(i)," coords = getOutputCoords();\n int end = ").concat(BAe(i,"coords",this.op),";\n float val = ").concat(s,";\n int pow2 = int(pow(2.0, index));\n if (").concat(c,") {\n int idx = ").concat(h,";\n ").concat(BAe(i,"coords",this.op)," = idx;\n val ").concat(this.op,"= getX(").concat(PAe(i,"coords",this.op),");\n }\n setOutput(val);\n }\n ")}));function PAe(e,t,n){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 new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function BAe(e,t,n){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 new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function WAe(e,t,n,r,a,i){var o=t.shape.length,s=H7([r],o),u=t;null!=s&&(u=UEe({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=K7(1,o)[0];if(c!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis=".concat(t.shape.length-1," ")+"but got axis=".concat(r));for(var l=u.shape[c],h=pEe({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var f=new zAe(e,u.shape,!1,i),d=[[p]],v=h;h=n.runWebGLProgram(f,[h],h.dtype,d),n.disposeIntermediateTensorInfo(v)}if(a){var m=new zAe(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=UEe({inputs:{x:h},backend:n,attrs:{perm:q7(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var VAe={kernelName:u1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return WAe(AAe.Prod,a,n,i,o,s)}};var UAe={kernelName:c1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return WAe(AAe.Sum,a,n,i,o,s)}};var GAe={kernelName:h1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=PSe(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),p=n.bufferSync(i),f=BSe(h,p,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},jAe=function(){function e(t,n,r){l(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 p(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}();var HAe={kernelName:p1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new jAe("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},qAe=p((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],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=iSe(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",h="";r&&(c=a?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ".concat(r,"\n }"):i?"float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ".concat(r,"\n }"):"\n float activation(float x) {\n ".concat(r,"\n }\n "),h="result = activation(result);");var p=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(c,"\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(u,";\n int q = d2 - d1 * ").concat(u,";\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(o,"; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC < ").concat(s,"; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\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(p,"\n ").concat(h,"\n setOutput(result);\n }\n ")})),KAe=p((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],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=iSe(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,h=t.filterHeight,p=t.filterWidth,f=p,d="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",v=0;v<p;v++)d+="\n vec4 xTexelC".concat(2*v,";\n int xTexelC").concat(2*v,"Ready;\n vec4 xTexelC").concat(2*v+1,";\n int xTexelC").concat(2*v+1,"Ready;\n vec4 xC").concat(v,";");d+="\n for (int r = 0; r < ".concat(h,"; r++) {\n ");for(var m=0;m<p;m++)d+="\n xTexelC".concat(2*m," = vec4(0.0);\n xTexelC").concat(2*m,"Ready = 0;\n xTexelC").concat(2*m+1," = vec4(0.0);\n xTexelC").concat(2*m+1,"Ready = 0;\n xC").concat(m," = vec4(0.0);");d+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR < inDims[0]) {\n ";for(var g=0;g<(f+1)/2;g++){var y=2*g;if(d+="\n xC = xCCorner + ".concat(y*c,";\n "),1===u){if(y<p&&(s%2==1?(d+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n xTexelC").concat(y," = 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 >= inDims[1]) {\n xTexelC").concat(y,".zw = vec2(0.0);\n }\n xTexelC").concat(y,"Ready = 1;\n }\n "),d+=1===c&&y>0?"\n xC".concat(y," = vec4(xTexelC").concat(y-2,".zw, xTexelC").concat(y,".xy);\n "):"\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n 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 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC".concat(y," = vec4(previous.zw, xTexelC").concat(y,".xy);\n } else {\n xC").concat(y," = vec4(0.0, 0.0, xTexelC").concat(y,".xy);\n }\n ")):d+="\n if (xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n xTexelC").concat(y," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(y,".zw = vec2(0.0);\n }\n xTexelC").concat(y,"Ready = 1;\n }\n\n xC").concat(y," = xTexelC").concat(y,";\n "),y+1<p)){var b=s%2==0?R$(c):c;c%2==0&&s%2==1||c%2!=0&&s%2!=1?(d+="\n xCOffset = xC + imod(pads[1], 2) + ".concat(b,";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n xTexelC").concat(y+1," = 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 >= inDims[1]) {\n xTexelC").concat(y+1,".zw = vec2(0.0);\n }\n xTexelC").concat(y+1,"Ready = 1;\n }\n "),d+=c>1?"\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC".concat(y+1," = vec4(previous.zw, xTexelC").concat(y+1,".xy);\n } else {\n xC").concat(y+1," = vec4(0.0, 0.0, xTexelC").concat(y+1,".xy);\n }\n "):"\n xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".xy);\n ")):d+=1===b?"\n xC".concat(y+1," = xTexelC").concat(y,";\n "):"\n xCOffset = xC + ".concat(b,";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(y+1,".zw = vec2(0.0);\n }\n xTexelC").concat(y+1,"Ready = 1;\n }\n\n xC").concat(y+1," = xTexelC").concat(y+1,";\n ")}}else y<p&&(s%2==1?(d+="\n xCOffset = xC + 1 - strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(y,".zw = vec2(0.0);\n }\n xTexelC").concat(y,"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n xTexelC").concat(y+1," = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC").concat(y+1,".zw = vec2(0.0);\n }\n xTexelC").concat(y+1,"Ready = 1;\n }\n\n xC").concat(y," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n "),y+1<p&&(d+="\n final = vec4(0.0);\n xCOffset = xC + 1 + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC".concat(y+1," = vec4(xTexelC").concat(y+1,".xy, final.xy);\n "))):(d+="\n if(xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n xTexelC").concat(y," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(y,".zw = vec2(0.0);\n }\n xTexelC").concat(y,"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(y+1,".zw = vec2(0.);\n }\n xTexelC").concat(y+1,"Ready = 1;\n }\n\n xC").concat(y," = vec4(\n xTexelC").concat(y,".xy, xTexelC").concat(y+1,".xy);\n "),y+1<p&&(d+="\n xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n "))));y<p&&(d+="\n wTexel = getW(r, ".concat(y,", d1, q);\n dotProd += xC").concat(y," * vec4(wTexel.xz, wTexel.xz);\n "),y+1<p&&(d+="\n wTexel = getW(r, ".concat(y+1,", d1, q);\n dotProd += xC").concat(y+1," * vec4(wTexel.xz, wTexel.xz);\n ")))}d+="\n }\n ",d+="\n }\n ";var x="",k="";r&&(x=a?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ".concat(r,"\n }"):i?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ".concat(r,"\n }"):"vec4 activation(vec4 x) {\n ".concat(r,"\n }"),k="result = activation(result);");var w=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(x,"\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(o,";\n int q = d2 - d1 * ").concat(o,";\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n vec4 dotProd = vec4(0.000000000000001);\n\n ").concat(d,"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n ").concat(w,"\n ").concat(k,"\n setOutput(result);\n }\n ")}));var XAe={kernelName:f1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=r.dimRoundingMode,l=u;null==l&&(l=[1,1]),F$(L8(o,l),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(o," and dilations '").concat(l,"'")}));var h,p=T8(a.shape,i.shape,o,l,s,c,!0);h=k0().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?new KAe(p):new qAe(p);var f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return n.runWebGLProgram(h,[a,i],"float32",f)}},YAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o=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(o," + 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(i,";\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 ")})),JAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=n-1-t.padInfo.top,s=r-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode="\n const ivec2 pads = ivec2(".concat(o,", ").concat(s,");\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(i,".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(u,"; dm++) {\n int d2 = d1 * ").concat(u," + 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 ")}));var ZAe={kernelName:d1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape,h=T8(a.shape,l,o,s,u,c,!0),p=new YAe(h);return n.runWebGLProgram(p,[a,i],"float32")}};var QAe={kernelName:v1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=T8(r.inputShape,i.shape,o,s,u,c,!0),h=new JAe(l);return n.runWebGLProgram(h,[a,i],"float32")}},$Ae=p((function e(t){l(this,e),this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n setOutput(val);\n }\n "}));var eRe={kernelName:m1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=[].concat(T(r.shape),T(r.shape)),i=L$(r.shape),o=OEe({inputs:{x:r},backend:n,attrs:{shape:[i]}}),s=new $Ae(i),u=n.runWebGLProgram(s,[o],o.dtype),c=OEe({inputs:{x:u},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),c}},tRe=p((function e(t){l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.inHeight,r=t.inWidth,a=t.padInfo,i=t.strideHeight,o=t.strideWidth,s=t.filterHeight,u=t.filterWidth,c=t.dilationHeight,h=t.dilationWidth,p=a.top,f=a.left;this.userCode="\n const ivec2 strides = ivec2(".concat(i,", ").concat(o,");\n const ivec2 pads = ivec2(").concat(p,", ").concat(f,");\n const float neg_infinity = -3.4e38;\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.w;\n ivec2 outTopLeftCorner =\n coords.yz * strides - pads;\n int hBeg = outTopLeftCorner.x;\n int wBeg = outTopLeftCorner.y;\n\n float curVal = neg_infinity;\n for (int h = 0; 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n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},WRe=p((function e(t,n){l(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=JNe(this.rank),a=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push("".concat(n[a]));return r.join()}(t);this.userCode="\n void main() {\n ".concat(r," resRC = getOutputCoords();\n int index = int(getIndices(resRC.x, resRC.z));\n float inBounds = (index >= 0) && (index < ").concat(t[2],") ? 1.0 : 0.0;\n setOutput(inBounds * getA(").concat(a,"));\n }\n ")}));function VRe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=j$(o,a.shape)[0];if(k0().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var e=c[p];F$(e<=l-1&&e>=0,(function(){return"GatherV2: the index value ".concat(e," is not in [0, ").concat(l-1,"]")}))},p=0;p<c.length;++p)h();var f=Hie(a,i,u,s),d=L$(i.shape),v=[],m=OEe({inputs:{x:a},backend:n,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),g=OEe({inputs:{x:i},backend:n,attrs:{shape:[f.batchSize,d/f.batchSize]}});v.push(m),v.push(g);var y=[f.batchSize,f.outerSize,d/f.batchSize,f.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var b=n.bufferSync(g),x=n.bufferSync(m),k=YSe(x,b,y);return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(f.outputShape,k.dtype,k.values)}var w=new WRe(m.shape,y),I=n.runWebGLProgram(w,[m,g],m.dtype);v.push(I);var N=OEe({inputs:{x:I},backend:n,attrs:{shape:f.outputShape}});return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),N}var URe={kernelName:L1,backendName:"webgl",kernelFunc:VRe},GRe=IEe({opSnippet:"return float(a > b);",packedOpSnippet:"\n return vec4(greaterThan(a, b));\n",cpuKernelImpl:JSe,dtype:"bool"}),jRe={kernelName:P1,backendName:"webgl",kernelFunc:GRe},HRe=IEe({opSnippet:"return float(a 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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(o,";\n setOutput(result);\n }\n ")})),g_e={kernelName:n2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta,c=k0().getBool("WEBGL_PACK_NORMALIZATION")?new m_e(a.shape,i,o,s,u):new v_e(a.shape,i,o,s,u);return n.runWebGLProgram(c,[a],a.dtype)}},y_e=p((function e(t,n,r,a,i){l(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=i,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;\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(i,")\n * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n / norm;\n if 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I=n.texData.get(f.dataId).values,N=nTe(I,L$(k),w,a.dtype);y=n.makeTensorInfo(w,a.dtype),n.texData.get(y.dataId).values=N}else y=function(e,t,n,r){var a=L$(t),i=OEe({inputs:{x:e},attrs:{shape:[L$(e.shape)/a,a]},backend:r}),o=LEe(i,e.dtype,"max",r),s=OEe({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,k,w,n);return h&&n.disposeIntermediateTensorInfo(f),y}var k_e={kernelName:a2,backendName:"webgl",kernelFunc:x_e},w_e=IEe({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return max(a, b);\n",packedOpSnippet:"\n vec4 result = vec4(max(a, b));\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:rTe}),I_e={kernelName:i2,backendName:"webgl",kernelFunc:w_e};var N_e={kernelName:o2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;wNe(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(L8(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=N8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return pEe({inputs:{x:a},backend:n});var l=new ICe(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var S_e={kernelName:u2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=S8(a.shape,i,o,[1,1,1],s,c,u),h=new NCe(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},T_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\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(i,";\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(o,"; 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(c," - 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(o," + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n ")})),E_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=u-1-t.padInfo.front,f=c-1-t.padInfo.top,d=h-1-t.padInfo.left,v=u*c*h-1;this.userCode="\n const ivec3 pads = ivec3(".concat(p,", ").concat(f,", ").concat(d,");\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(xD, xR, xC, ch).\n // ? 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NAN : result.a;\n\n return result;\n"}),fOe={kernelName:E2,backendName:"webgl",kernelFunc:pOe};var dOe={kernelName:A2,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,c=[],l=j$(o,i.shape),h=l,p=H7(h,u),f=i;if(null!=p&&(f=UEe({inputs:{x:i},backend:r,attrs:{perm:p}}),h=K7(h.length,u),c.push(f)),j7("prod",h,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,v=uTe(f.shape,f.dtype,d,h),m=v.outVals,g=v.outShape,y=v.outDtype;t=r.makeTensorInfo(g,y,m)}else{var b=S(U7(f.shape,h),2),x=b[0],k=L$(b[1]),w=OEe({inputs:{x:f},backend:r,attrs:{shape:[-1,k]}}),I=LEe(w,p5(i.dtype),"prod",r);t=OEe({inputs:{x:I},backend:r,attrs:{shape:x}}),c.push(w),c.push(I)}if(s){c.push(t);var N=G7(t.shape,l);t=OEe({inputs:{x:t},backend:r,attrs:{shape:N}})}return c.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var vOe={kernelName:R2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),c=a.map((function(e){return e.shape})),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=S(cTe(u,c,l,i.shape,i.dtype,h,o.shape,s),3),f=p[0],d=p[1],v=p[2],m=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(v,i.dtype,d);return m.concat([g])}};var mOe={kernelName:_2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=S(lTe(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}};var gOe={kernelName:O2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=S(hTe(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,f,u),2),v=d[0],m=d[1];return n.makeTensorInfo(v,i.dtype,m)}},yOe=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=pTe(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},bOe={kernelName:F2,backendName:"webgl",kernelFunc:yOe},xOe=wEe({opSnippet:"return 1.0 / x;"}),kOe={kernelName:M2,backendName:"webgl",kernelFunc:xOe},wOe=wEe({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\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"}),IOe={kernelName:L2,backendName:"webgl",kernelFunc:wOe},NOe=wEe({opSnippet:"if (isnan(x)) return x;\n return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\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"}),SOe={kernelName:U2,backendName:"webgl",kernelFunc:NOe},TOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ".concat(f[0]/d[0],",\n ").concat(f[1]/d[1],");\n const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".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 = ").concat(p,";\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\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 ")})),EOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ".concat(f[0]/d[0],",\n ").concat(f[1]/d[1],",\n ").concat(f[1]/d[1],");\n const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n ").concat(c,".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 = ").concat(p,";\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\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(h-1,";\n bool hasNextRow = coords.z < ").concat(r-1,";\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 ")}));var COe={kernelName:W2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new EOe(a.shape,u,c,i,o):new TOe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},AOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+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(f,");\n const float widthScale = float(").concat(d,");\n\n const float invHeightScale = float(").concat(v,");\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(u,") {\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(c,") {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-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(o-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 ")}));var ROe={kernelName:V2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new AOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},_Oe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ".concat(f[0]/d[0],",\n ").concat(f[1]/d[1],");\n const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".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 = ").concat(p,";\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, 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values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ").concat(p,";\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < ").concat(h-1,";\n bool hasNextRow = coords.z < ").concat(r-1,";\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n ")}));var FOe={kernelName:P2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new OOe(a.shape,u,c,i,o):new _Oe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},DOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+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(f,");\n const float widthScale = float(").concat(d,");\n\n const float invHeightScale = float(").concat(v,");\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(u,") {\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(c,") {\n continue;\n }\n\n float sourceFracRow =\n float(").concat(h[0],") *\n (float(dyR) / float(").concat(p[0],"));\n\n float sourceFracCol =\n float(").concat(h[1],") *\n (float(dyC) / float(").concat(p[1],"));\n\n int sourceNearestRow = int(min(\n float(int(").concat(i,") - 1),\n ").concat(r," ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(").concat(o,") - 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 ")}));var MOe={kernelName:B2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new DOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},LOe=p((function e(t,n){l(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,"] - 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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(i,"){\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(s," rc = getOutputCoords();\n vec4 result = vec4(0.);\n result.r = ").concat(function(e){return u(e)}(a.slice()),";\n if(").concat(i,"){\n result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",u(e)}(a.slice()),";\n }\n if(").concat(o,") {\n result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n if(").concat(i,") {\n result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n }\n }\n setOutput(result);\n }\n ")}));var POe={kernelName:G2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=j$(i,a.shape);if(0===o)return 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