/**

 * @license

 * Copyright 2019 Google LLC. All Rights Reserved.

 * Licensed under the Apache License, Version 2.0 (the "License");

 * you may not use this file except in compliance with the License.

 * You may obtain a copy of the License at

 *

 * http://www.apache.org/licenses/LICENSE-2.0

 *

 * Unless required by applicable law or agreed to in writing, software

 * distributed under the License is distributed on an "AS IS" BASIS,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * See the License for the specific language governing permissions and

 * limitations under the License.

 * =============================================================================

 */

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Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return c(this,void 0,void 0,function(){var e,n,r;return l(this,function(i){switch(i.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[t],this.profiler=new it(this.backendInstance),[2,!0]}})})},t.prototype.initializeBackend=function(t){var e=this,n=It.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,o=r.then(function(n){return!(i<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))}).catch(function(n){return!(i<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))});return this.pendingBackendInit=o,{success:o,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority})},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),i=r.success,o=r.asyncInit;if(o||i)return{name:n,asyncInit:o}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){this.write(t,e,this.readSync(e))},t.prototype.tidy=function(t,e){var n,r=this,i=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=t}return this.scopedRun(function(){return r.startScope(i)},function(){return r.endScope(n)},function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n})},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=pt.make(t.shape,{dataId:t.dataId},t.dtype);return this.addTapeNode([t],e,function(t){return[t.toFloat()]}),e},t.prototype.runKernel=function(t,e,n){var r,i=this,o=[],a=this.isTapeOn(),s=null!=this.state.activeScope?this.state.activeScope.name:"",u=function(t){a&&(o=t.map(function(t){return i.keep(i.clone(t))}))},c=this.state.numBytes,l=this.state.numTensors;if(this.scopedRun(function(){return i.state.kernelDepth++},function(){return i.state.kernelDepth--},function(){r=i.ENV.getBool("DEBUG")?i.profiler.profileKernel(s,function(){return t(i.backend,u)}):t(i.backend,u)}),a){var f={id:this.state.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r],saved:o};null!=n&&(f.gradient=function(t){return n(t,o)}),this.state.activeTape.push(f)}return this.state.profiling&&this.state.activeProfile.kernels.push({name:s,bytesAdded:this.state.numBytes-c,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-l,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:null!=e?e:this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r,null!=e?e.register(t.dataId,t.shape,t.dtype):this.backend.register(t.dataId,t.shape,t.dtype)}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof mt||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.state.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.state.registeredVariables[t.name]=t},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return c(this,void 0,void 0,function(){var e,n;return l(this,function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]})})},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n){var r={};t.forEach(function(t,e){r[e]=t});var i={id:this.state.nextTapeNodeId++,name:this.state.activeScope.name,inputs:r,outputs:[e],gradient:function(t){var e={};return n(t).forEach(function(t,n){e[n]=function(){return t}}),e}};this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=At(t),r=new Set(n.map(function(t){return t.id})),i=0;i<this.state.activeScope.track.length;i++){var o=this.state.activeScope.track[i];o.kept||r.has(o.id)||o.dispose()}var a=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach(function(t){t.kept||t.scopeId!==a.id||e.track(t)})},t.prototype.gradients=function(t,e,n,r){var i=this;if(void 0===r&&(r=!1),w(e.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 '"+n.dtype+"'");var o=this.scopedRun(function(){return i.startTape()},function(){return i.endTape()},function(){return i.tidy("forward",t)});w(o instanceof pt,function(){return"The result y returned by f() must be a tensor."});var a=function(t,e,n){for(var r={},i={},o=0;o<e.length;o++)r[e[o].id]=!0;for(o=0;o<t.length;o++){var a=(p=t[o]).inputs;for(var s in a){for(var u=a[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach(function(t){return r[t.id]=!0}),c=!0,i[p.id]=!0;break}if(c)break}}var f={};f[n.id]=!0;var d={};for(o=t.length-1;o>=0;o--)for(a=(p=t[o]).inputs,l=0;l<p.outputs.length;l++)if(f[p.outputs[l].id]){for(var s in a)f[a[s].id]=!0,d[p.id]=!0;break}var h=[];for(o=0;o<t.length;o++){var p;if(i[(p=t[o]).id]&&d[p.id]){var m={};for(var s in p.inputs){var g=p.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},p);v.inputs=m,v.outputs=p.outputs,h.push(v)}}return h}(this.state.activeTape,e,o);if(!r&&0===a.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var t,r,s={};s[o.id]=null==n?(r=Z(S(t=o.shape),"float32"),pt.make(t,{values:r})):n,function(t,e,n){for(var r=function(r){var i=e[r],o=[];if(i.outputs.forEach(function(e){var n=t[e.id];if(null!=n)o.push(n);else{var r=pt.make(e.shape,{values:Q(e.size,e.dtype)},e.dtype);o.push(r)}}),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.name+".");var a=i.gradient(1===i.outputs.length?o[0]:o),s=function(e){if(!(e in a))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(a)+".");var r=n(function(){return a[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+i.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var o=i.inputs[e];if(!E(r.shape,o.shape))throw new Error("Error in gradient for op "+i.name+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+o.shape+"'");if(null==t[o.id])t[o.id]=r;else{var s=t[o.id];t[o.id]=s.add(r),s.dispose()}};for(var u in i.inputs)s(u)},i=e.length-1;i>=0;i--)r(i)}(s,a,function(t){return i.tidy(t)});var u=e.map(function(t){return s[t.id]});return 0===i.state.gradientDepth&&(i.state.activeTape.forEach(function(t){for(var e in t.saved)t.saved[e].dispose()}),i.state.activeTape=null),{value:o,grads:u}})},t.prototype.customGrad=function(t){var e=this;return w(G(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r=[],i=0;i<arguments.length;i++)r[i]=arguments[i];w(r.every(function(t){return t instanceof pt}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var o={};return r.forEach(function(t,e){o[e]=t}),e.runKernel(function(e,i){return w((n=t.apply(void 0,r.concat([i]))).value instanceof pt,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),w(G(n.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n.value},o,function(t,e){var i=n.gradFunc(t,e),o=Array.isArray(i)?i:[i];w(o.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(...)."}),w(o.every(function(t){return t instanceof pt}),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 a={};return o.forEach(function(t,e){a[e]=function(){return t}}),a})}},t.prototype.write=function(t,e,n){var r=this.state.tensorInfo.get(e),i=r.backend;if(t=t||this.backend,"string"===r.dtype){var o=W(n);this.state.numBytes+=o-r.bytes,r.bytes=o}t!==i&&(i.disposeData(e),r.backend=t,t.register(e,r.shape,r.dtype)),t.write(e,n)},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.fromPixels=function(t,e){return this.backend.fromPixels(t,e)},t.prototype.time=function(t){return c(this,void 0,void 0,function(){var e,n;return l(this,function(r){switch(r.label){case 0:return e=tt(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=tt()-e,[2,n]}})})},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Nt,this.registry)this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}(),It=function(){var e=function(){if(null==Ct){var e=void 0;if("undefined"!=typeof window)e=window;else if(void 0!==r)e=r;else if(void 0!==t)e=t;else{if("undefined"==typeof self)throw new Error("Could not find a global object");e=self}Ct=e}return Ct}();if(null==e._tfengine){var n=new f(e);e._tfengine=new Tt(n)}return p(e._tfengine.ENV),ft=function(){return e._tfengine},e._tfengine}();function Dt(){return"undefined"!=typeof window||"undefined"!=typeof WorkerGlobalScope}h.registerFlag("DEBUG",function(){return!1},function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")}),h.registerFlag("IS_BROWSER",function(){return Dt()}),h.registerFlag("IS_NODE",function(){return void 0!==t&&void 0!==t.versions&&void 0!==t.versions.node}),h.registerFlag("IS_CHROME",function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}),h.registerFlag("PROD",function(){return!1}),h.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",function(){return h.getBool("DEBUG")}),h.registerFlag("DEPRECATION_WARNINGS_ENABLED",function(){return!0}),h.registerFlag("IS_TEST",function(){return!1});var jt={},Rt={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Ft(t,e){jt[t]=e}function Pt(t){t in jt||(jt[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var e=function(t){if("undefined"!=typeof OffscreenCanvas&&2===t)return new OffscreenCanvas(300,150);if("undefined"!=typeof document)return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}(t);return e.addEventListener("webglcontextlost",function(e){e.preventDefault(),delete jt[t]},!1),1===t?e.getContext("webgl",Rt)||e.getContext("experimental-webgl",Rt):e.getContext("webgl2",Rt)}(t));var e=jt[t];return e.isContextLost()?(delete jt[t],Pt(t)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),jt[t])}function zt(t,e,n){var r=n();return e&&function(t){var e=t.getError();if(e!==t.NO_ERROR)throw new Error("WebGL Error: "+Wt(t,e))}(t),r}var Lt=5.96e-8,Bt=65504;function Ut(t){return!!(h.getBool("WEBGL_RENDER_FLOAT32_ENABLED")||0===t||Lt<Math.abs(t)&&Math.abs(t)<Bt)}function Wt(t,e){switch(e){case t.NO_ERROR:return"NO_ERROR";case t.INVALID_ENUM:return"INVALID_ENUM";case t.INVALID_VALUE:return"INVALID_VALUE";case t.INVALID_OPERATION:return"INVALID_OPERATION";case t.INVALID_FRAMEBUFFER_OPERATION:return"INVALID_FRAMEBUFFER_OPERATION";case t.OUT_OF_MEMORY:return"OUT_OF_MEMORY";case t.CONTEXT_LOST_WEBGL:return"CONTEXT_LOST_WEBGL";default:return"Unknown error code "+e}}function qt(t,e,n){return de(t,e,function(){return t.getExtension(n)},'Extension "'+n+'" not supported on this browser.')}function Vt(t,e,n){var r=de(t,e,function(){return t.createShader(t.VERTEX_SHADER)},"Unable to create vertex WebGLShader.");if(zt(t,e,function(){return t.shaderSource(r,n)}),zt(t,e,function(){return t.compileShader(r)}),!1===t.getShaderParameter(r,t.COMPILE_STATUS))throw console.log(t.getShaderInfoLog(r)),new Error("Failed to compile vertex shader.");return r}function Ht(t,e,n){var r=de(t,e,function(){return t.createShader(t.FRAGMENT_SHADER)},"Unable to create fragment WebGLShader.");if(zt(t,e,function(){return t.shaderSource(r,n)}),zt(t,e,function(){return t.compileShader(r)}),!1===t.getShaderParameter(r,t.COMPILE_STATUS))throw function(t,e){var n=Kt.exec(e);if(null==n)return console.log("Couldn't parse line number in error: "+e),void console.log(t);for(var r=+n[1],i=t.split("\n"),o=i.length.toString().length+2,a=i.map(function(t,e){return M((e+1).toString(),o)+t}),s=0,u=0;u<a.length;u++)s=Math.max(a[u].length,s);var c=a.slice(0,r-1),l=a.slice(r-1,r),f=a.slice(r);console.log(c.join("\n")),console.log(e.split("\n")[0]),console.log("%c "+M(l[0],s),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(f.join("\n"))}(n,t.getShaderInfoLog(r)),new Error("Failed to compile fragment shader.");return r}var $t,Gt,Kt=/ERROR: [0-9]+:([0-9]+):/g;function Xt(t,e){return de(t,e,function(){return t.createProgram()},"Unable to create WebGLProgram.")}function Yt(t,e,n){if(zt(t,e,function(){return t.linkProgram(n)}),!1===t.getProgramParameter(n,t.LINK_STATUS))throw console.log(t.getProgramInfoLog(n)),new Error("Failed to link vertex and fragment shaders.")}function Jt(t,e,n){if(zt(t,e,function(){return t.validateProgram(n)}),!1===t.getProgramParameter(n,t.VALIDATE_STATUS))throw console.log(t.getProgramInfoLog(n)),new Error("Shader program validation failed.")}function Zt(t,e,n){var r=de(t,e,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return zt(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),zt(t,e,function(){return t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW)}),r}function Qt(t,e,n){var r=de(t,e,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return zt(t,e,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,r)}),zt(t,e,function(){return t.bufferData(t.ELEMENT_ARRAY_BUFFER,n,t.STATIC_DRAW)}),r}function te(t,e){return de(t,e,function(){return t.createTexture()},"Unable to create WebGLTexture.")}function ee(t,e){var n=h.getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t<=0||e<=0){var r="["+t+"x"+e+"]";throw 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"+Ii(i)+" coords = getOutputCoords();\n        ",1===i)o+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var a=xi("coords",i);o+="\n            bool nextRowOutOfBounds =\n              ("+a[i-2]+" + 1) >= "+this.outputShape[i-2]+";\n            bool nextColOutOfBounds =\n              ("+a[i-1]+" + 1) >= "+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        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+o+"\n\n        setOutput(result);\n      }\n    "},Ui=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, min, max));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Wi=function(){function t(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(min), vec4(max)));\n      }\n    "}return 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This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;zt(e,this.debug,function(){return e.finish()}),zt(e,this.debug,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),zt(e,this.debug,function(){return e.deleteFramebuffer(t.framebuffer)}),zt(e,this.debug,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),zt(e,this.debug,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),zt(e,this.debug,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),ro(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),io(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),oo(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),lo(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),co(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),so(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ao(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(ce(this.gl,this.debug,this.framebuffer),this.outputTexture=null),zt(this.gl,this.debug,function(){return e.gl.deleteTexture(t)})},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return po(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,o){return mo(this.gl,t,0,0,0,i,o,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return ho(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=fo(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(h.getBool("WEBGL_FENCE_API_ENABLED")){var i=t,o=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=i.clientWaitSync(o,0,0);return t===i.ALREADY_SIGNALED||t===i.CONDITION_SATISFIED},e=o}else h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return go(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=Ht(e,this.debug,t),r=Zi(e,this.debug),i=Xt(e,this.debug);return zt(e,this.debug,function(){return e.attachShader(i,r)}),zt(e,this.debug,function(){return e.attachShader(i,n)}),Yt(e,this.debug,i),this.debug&&Jt(e,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=uo(e,this.debug,this.program,this.vertexBuffer)),i},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&zt(this.gl,this.debug,function(){return e.gl.deleteProgram(t)})},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&Jt(this.gl,this.debug,this.program),zt(this.gl,this.debug,function(){return e.gl.useProgram(t)})},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?oe(this.gl,this.debug,t,e):ae(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),zt(this.gl,this.debug,function(){return n.gl.getAttribLocation(t,e)})},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),se(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=Ji(e,n),i=r[0],o=r[1];this.setOutputMatrixTextureDriver(t,i,o)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&Jt(this.gl,this.debug,this.program),le(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),zt(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),zt(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=qt(this.gl,this.debug,2===h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},t.prototype.endQuery=function(){if(2!==h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return c(this,void 0,void 0,function(){var e=this;return l(this,function(n){switch(n.label){case 0:return[4,N(function(){return e.disposed||e.isQueryAvailable(t,h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length&&t[e]();++e);return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||N(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),ue(this.gl,this.debug,t,this.framebuffer),this.debug&&le(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(ue(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&le(this.gl)):ce(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;ue(r,this.debug,t,this.framebuffer),this.debug&&le(r),this.outputTexture=t,zt(r,this.debug,function(){return r.viewport(0,0,e,n)}),zt(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),zt(this.gl,this.debug,function(){return i.gl.scissor(t,e,n,r)})},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function yo(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach(function(t,n){var r=t.logicalShape,i=e[n],o=i.shape;if(!E(r,o))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+o+" must match");if(!t.isUniform||!i.isUniform){var a=t.texShape,s=i.isUniform?null:i.texData.texShape;if(!E(a,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+a+" and "+s+" must match")}})}var wo=function(t,e,n,r,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===o&&(o=null),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=e;var a=n?t[1]:t[2],s=Math.ceil(a/2),u=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",l=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],d="",h="";o&&(d="vec4 activation(vec4 x) {\n        "+o+"\n      }",h="result = activation(result);");var p=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),this.userCode="\n      "+d+"\n\n      const float sharedDimension = "+s+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+s+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+u+");\n          vec4 b = getMatrixB(rc.x, "+c+");\n\n          result += ("+l[0]+" * "+f[0]+") + ("+l[1]+" * "+f[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+p+"\n\n        "+h+"\n\n        setOutput(result);\n      }\n    "},xo=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),_o=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var d="avg"===e,h="0.0";if(d||(h="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+o+");\n        const ivec2 pads = ivec2("+l+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+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 >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+c+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var p=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(p="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+l+", "+f+");\n      const float initializationValue = "+h+";\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 >= "+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("+h+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+a+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+v+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+v+"\n          }\n        }\n        setOutput("+p+");\n      }\n    "}},ko=function(t,e,n,r,i,o,a){void 0===a&&(a=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var s=Ii(i.length),u=Ii(o.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var d="getUpdates("+f+")",h=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+d+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},So=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=Ii(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return Eo.slice(0,t).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map(function(t,e){return"sourceLoc."+Eo[e]+" = start["+e+"] + coords."+Eo[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+i+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Eo=["x","y","z","w","u","v"],Oo=function(){function t(t){this.variableNames=["source"],this.usesPackedTextures=!0,this.outputShape=t,this.rank=t.length;var e=Ii(this.rank),n=xi("coords",this.rank),r=xi("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",o="getChannel(getSource("+r.join()+"), "+i+")",a="\n      result.x = "+o+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+o+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+o+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+o+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map(function(t,e){return"start["+e+"]"}).join()+");":t.map(function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"}).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+" \n        vec4 result = vec4(0.);\n        "+a+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Ao=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,i=Co(e,n),o=Mo(t,i,n);if(o in this.freeTextures||(this.freeTextures[o]=[]),o in this.usedTextures||(this.usedTextures[o]=[]),this.freeTextures[o].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var a=this.freeTextures[o].shift();return this.usedTextures[o].push(a),a}return this.numUsedTextures++,this.log(),i===Hi.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===Hi.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===Hi.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===Hi.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===Hi.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[o].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var i=Mo(e,Co(n,r),r);i in this.freeTextures||(this.freeTextures[i]=[]),this.freeTextures[i].push(t),this.numFreeTextures++,this.numUsedTextures--;var o=this.usedTextures[i],a=o.indexOf(t);if(a<0)throw new Error("Cannot release a texture that was never provided by this texture manager");o.splice(a,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function Co(t,e){if(t===Vi.UPLOAD)return Hi.PACKED_2X2_FLOAT32;if(t===Vi.RENDER||null==t)return e?h.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?Hi.PACKED_2X2_FLOAT32:Hi.PACKED_2X2_FLOAT16:h.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?Hi.UNPACKED_FLOAT32:Hi.UNPACKED_FLOAT16;if(t===Vi.DOWNLOAD||t===Vi.PIXELS)return Hi.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Mo(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var No=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},To="if (isnan(x)) return x;",Io=To+"\n  return (x < 0.0) ? 0.0 : x;\n",Do="return exp(x);",jo="\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",Ro=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Fo={},Po=600,zo=function(){function t(t){if(this.gpgpu=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.disposed=!1,!h.getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==t){var e=Pt(h.getNumber("WEBGL_VERSION"));this.binaryCache=(n=h.getNumber("WEBGL_VERSION"))in Fo?Fo[n]:(Fo[n]={},Fo[n]),this.gpgpu=new bo(e),this.canvas=e.canvas,this.gpgpuCreatedLocally=!0}else this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=t.gl.canvas;var n;this.textureManager=new Ao(this.gpgpu),this.numMBBeforeWarning=null==h.global.screen?1024:h.global.screen.height*h.global.screen.width*window.devicePixelRatio*Po/1024/1024,this.texData=new Hr(this,It)}return t.prototype.register=function(t,e,n){if(this.texData.has(t))throw new Error("Data buffer is already registered");this.texData.set(t,{shape:e,dtype:n})},t.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n=[t.height,t.width],r=[t.height,t.width,e];if(h.getBool("IS_BROWSER")){if(!(t instanceof HTMLVideoElement||t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof ImageData||t.data instanceof Uint8Array))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);if(t instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.browser.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixels2DContext=document.createElement("canvas").getContext("2d")}this.fromPixels2DContext.canvas.width=t.width,this.fromPixels2DContext.canvas.height=t.height,this.fromPixels2DContext.drawImage(t,0,0,t.width,t.height),t=this.fromPixels2DContext.canvas}}var i,o,a=this.makeTensorHandle(n,"int32");if(this.texData.get(a.dataId).usage=Vi.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),t),h.getBool("WEBGL_PACK")){i=new function(t){this.variableNames=["A"];var e=_i(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "}(r);var s=this.makePackedTensor(i.outputShape,a.dtype);o=this.compileAndRun(i,[a],s)}else i=new function(t){this.variableNames=["A"];var e=_i(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "}(r),o=this.compileAndRun(i,[a]);return this.disposeData(a.dataId),o},t.prototype.makeTensorHandle=function(t,e){var n={};return this.register(n,t,e),{dataId:n,shape:t,dtype:e}},t.prototype.write=function(t,e){if(null==e)throw new Error("MathBackendWebGL.write(): values can not be null");if(h.getBool("DEBUG"))for(var n=0;n<e.length;n++){var r=e[n];if(!Ut(r))throw Error("The value "+r+" cannot be represented on this device.")}var i=this.texData.get(t);if("complex64"===i.dtype)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.releaseGPUData(t),i.usage=Vi.UPLOAD,i.values=e},t.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,i=e.complexTensors,o=e.slice,a=e.shape;if(null!=o){var s=new No(a,"return x;"),u=this.compileAndRun(s,[{dataId:t,shape:a,dtype:r}]),c=this.readSync(u.dataId);return u.dispose(),c}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var l,f,d=null!=this.activeTimers;return d&&(l=performance.now()),f="complex64"===r?li(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),d&&(this.downloadWaitMs+=performance.now()-l),this.convertAndCacheOnCPU(t,f)},t.prototype.read=function(t){return c(this,void 0,void 0,function(){var e,n,r,i,o,a,s,u,c,f,d,p,m,g,v,b,y,w,x,_,k;return l(this,function(l){switch(l.label){case 0:if(this.pendingRead.has(t))return n=this.pendingRead.get(t),[2,new Promise(function(t){return n.push(t)})];if(r=this.texData.get(t),i=r.values,o=r.shape,a=r.slice,s=r.dtype,u=r.complexTensors,null!=a)return c=new No(o,"return x;"),f=this.compileAndRun(c,[{dataId:t,shape:o,dtype:s}]),d=this.read(f.dataId),f.dispose(),[2,d];if(null!=i)return[2,this.convertAndCacheOnCPU(t)];if(!h.getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===h.getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==s&&h.get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(t),t=m.dataId,g=this.texData.get(m.dataId),p=(e=this.gpgpu).createBufferFromTexture.apply(e,[g.texture].concat(Yi(o)))),this.pendingRead.set(t,[]),"complex64"===s?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:l.sent(),l.label=2;case 2:return"complex64"!==s?[3,4]:[4,Promise.all([u.real.data(),u.imag.data()])];case 3:return b=l.sent(),y=b[0],w=b[1],v=li(y,w),[3,5];case 4:null==p?v=this.getValuesFromTexture(t):(x=S(o),v=this.gpgpu.downloadFloat32MatrixFromBuffer(p,x),this.disposeData(t)),l.label=5;case 5:return _=this.convertAndCacheOnCPU(t,v),k=this.pendingRead.get(t),this.pendingRead.delete(t),k.forEach(function(t){return t(_)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)),[2,_]}})})},t.prototype.getValuesFromTexture=function(t){var e,n=this,r=this.texData.get(t),i=r.shape,o=r.dtype,a=r.isPacked,s=S(i);if(h.getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(Yi(i))).subarray(0,s);return this.disposeData(u.dataId),l}var f=h.getBool("WEBGL_PACK")&&!0===a,d=f?ge(i):i,p=this.makeTensorHandle(d,"float32");p.size=S(i),this.texData.get(p.dataId).usage=Vi.DOWNLOAD;var m=Pe(function(){var e=f?new function(t){this.variableNames=["A"],this.usesPackedTextures=!0;var e=_i();this.outputShape=t,this.userCode="\n      "+Ei+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "}(d):new function(t){this.variableNames=["A"];var e=_i();this.outputShape=t,this.userCode="\n      "+Ei+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "}(d);return n.compileAndRun(e,[{shape:d,dtype:o,dataId:t}],p,null)}),g=this.texData.get(m.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,s);return this.disposeData(p.dataId),v},t.prototype.time=function(t){return c(this,void 0,void 0,function(){var e,n,r,i,o,a,s;return l(this,function(u){switch(u.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),i=k(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),o=k(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),[4,Promise.all(i)];case 1:return a=u.sent(),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:y(a),getExtraProfileInfo:function(){return a.map(function(t,e){return{name:o[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},t.prototype.endTimer=function(t){return h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=performance.now(),t)},t.prototype.getQueryTime=function(t){return c(this,void 0,void 0,function(){var e;return l(this,function(n){return h.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},t.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t))if(this.pendingRead.has(t))this.pendingDisposal.add(t);else if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}},t.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,i=e.texShape,o=e.usage,a=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,o,a)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},t.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},t.prototype.getCPUBackend=function(){return h.getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=It.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every(function(t){return null==n.texData.get(t.dataId).texture&&t.size<e})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(t,e){var n=this.makeOutputArray(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:It.keep(t.clone()),imag:It.keep(e.clone())},n},t.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},t.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},t.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===S(n))return gn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,i=jr(t.shape,e,n);if(r||!i){var o=h.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Oo(n):new So(n),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[t],null,a)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},t.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=pt.make(n,{},t.dtype,this),o=this.texData.get(i.dataId);Object.assign(o,r),o.shape=n,o.dtype=t.dtype;var a=Rr(e,t.strides);r.slice&&(a+=r.slice.flatOffset),o.slice={flatOffset:a,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s,u){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r,i,o,a,s,u);var c=Tr(t.shape,e,n,r,i,o,a,s,u),l=c[0],f=c[1],d=c[2],h=f.filter(function(t,e){return-1===d.indexOf(e)});if(h.some(function(t){return 0===t}))return gn([],h);var p=new function(t,e,n,r){this.variableNames=["x"];var i=n.filter(function(t,e){return-1===r.indexOf(e)});this.outputShape=i;var o=n.length,a=Ii(n.length),s=Ii(i.length),u="";if(1===o)u="coords * strides + begin";else{var c=0;u=n.map(function(t,e){return-1===r.indexOf(e)?(c++,1===i.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(c-1)+"] * strides["+e+"] + begin["+e+"]"):"begin["+e+"]"}).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+t+");\n      "+a+" strides = "+a+"("+e+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "}(l,r,f,d);return this.compileAndRun(p,[t])},t.prototype.reverse=function(t,e){var n=h.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["x"],this.usesPackedTextures=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=xi("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],o=r[n-2]+" + 1 < "+this.outputShape[n-2],a=Ii(n);function s(n){var r=t.map(function(r,i){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(i,n)});return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+i+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+a+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+s(r.slice())+";\n          if("+i+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+o+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+i+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "}(t.shape,e):new function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map(function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),i=Ii(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "}(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.concat=function(t,e){if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>h.getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var n=Math.floor(t.length/2),r=this.concat(t.slice(0,n),e),i=this.concat(t.slice(n),e);return this.concat([r,i],e)}if(h.getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var o=new function(t,e){this.usesPackedTextures=!0,this.outputShape=[],this.outputShape=fn(t,e);var n=this.outputShape,r=n.length,i=Ii(r),o=xi("coords",r),a=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=a[e],l="vec2("+a.slice(-2).join()+")",f=a.join(),d="if ("+c+" < "+s[0]+")\n          return getChannel(getT0("+f+"), "+l+");";for(u=1;u<s.length;u++){var h=s[u-1];d+="\n        else if ("+c+" < "+s[u]+") {\n          "+c+" -= "+h+";\n          return getChannel(getT"+u+"("+f+"), "+l+");\n        }"}var p=s.length;d+="\n        else {\n          "+c+" -= "+s[s.length-1]+";\n          return getChannel(getT"+p+"("+f+"), "+l+");\n        }",this.userCode="\n      float getValue("+a.map(function(t){return"int "+t})+") {\n        "+d+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+o+"), 0., 0., 0.);\n        if (++"+o[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+o+");\n        }\n        if (++"+o[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+o+");\n        }\n        if ("+o[r-2]+" < "+n[r-2]+" &&\n            --"+o[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+o+");\n        }\n        setOutput(result);\n      }\n    "}(t.map(function(t){return t.shape}),e);return this.compileAndRun(o,t)}var a=fn(t.map(function(t){return t.shape}),e),s=t.map(function(t){return t.as2D(-1,S(t.shape.slice(e)))}),u=new function(t){this.outputShape=[],this.outputShape=fn(t,1),this.variableNames=t.map(function(t,e){return"T"+e});var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var i=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var o=e.length,a=e[e.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+a+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "}(s.map(function(t){return t.shape}));return this.compileAndRun(u,s).reshape(a)},t.prototype.neg=function(t){var e=new No(t.shape,"return -x;");return this.compileAndRun(e,[t])},t.prototype.batchMatMul=function(t,e,n,r){var i=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],a=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===i||1===o)&&a>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===o?t:t.as3D(s,a,1),c=1===o?2:1,l=1===o?e.as3D(s,1,a):e;return this.multiply(u,l).sum(c,!0)}var f=kt(t.dtype,e.dtype),d=new wo(t.shape,[s,i,o],n,r),h=this.makePackedTensor(d.outputShape,f);return this.compileAndRun(d,[t,e],h)},t.prototype.fusedBatchMatMul=function(t,e,n,r,i,o){var a=n?t.shape[2]:t.shape[1],s=r?e.shape[1]:e.shape[2],u=t.shape[0],c=kt(t.dtype,e.dtype),l=new wo(t.shape,[u,a,s],n,r,!!i,o?function(t,e){if(void 0===e&&(e=!1),"linear"===t)return"return x;";if("relu"===t)return e?jo:Io;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}(o,!0):null),f=this.makePackedTensor(l.outputShape,c),d=[t,e];return i&&d.push(i),this.compileAndRun(l,d,f)},t.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new Ri("return areal * breal - aimag * bimag;",t.shape,e.shape),o=new Ri("return areal * bimag + aimag * breal;",t.shape,e.shape),a=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag),this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],s=this.compileAndRun(i,a),u=this.compileAndRun(o,a),c=this.complex(s,u);return s.dispose(),u.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,zi,t.dtype);var l=new Li(zi,t.shape,e.shape),f=this.makeOutputArray(l.outputShape,t.dtype);return this.compileAndRun(l,[t,e],f)},t.prototype.batchNormalization=function(t,e,n,r,i,o){var a=[t,e,n],s=null;null!=o&&(s=o.shape,a.push(o));var u=null;if(null!=i&&(u=i.shape,a.push(i)),h.getBool("WEBGL_PACK_NORMALIZATION")){var c=new function(t,e,n,r,i,o){this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],Xr(t,e),Xr(t,n);var a="vec4(0.0)";null!=r&&(Xr(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(Xr(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+a+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+o+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(c,a)}var l=new function(t,e,n,r,i,o){this.outputShape=[],this.variableNames=["x","mean","variance"],Xr(t,e),Xr(t,n);var a="0.0";null!=r&&(Xr(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="1.0";null!=i&&(Xr(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+a+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+o+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "}(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,a)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){var o=h.getBool("WEBGL_PACK_NORMALIZATION")?new function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[],this.usesPackedTextures=!0;var o,a=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";o=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+a+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+a+"; j <= "+a+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+o+";\n        setOutput(result);\n      }\n    "}(t.shape,e,n,r,i):new function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[];var o,a=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";o=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+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        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+a+"; j <= "+a+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+o+";\n        setOutput(val);\n      }\n    "}(t.shape,e,n,r,i);return this.compileAndRun(o,[t])},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){var s=new function(t,e,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,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 < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "}(e.shape,r,i,o,a);return this.compileAndRun(s,[e,n,t])},t.prototype.tile=function(t,e){if("string"===t.dtype)return vi(Xn(t.shape,t.dtype,this.readSync(t.dataId)),e);var n=new function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var i=Ii(this.rank),o=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<t.length;i++)r.push("imod("+n[i]+", "+t[i]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+o+"));\n      }\n    "}(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.pad=function(t,e,n){var r=h.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e,n){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=Ii(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=xi("rc",r),u=xi("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",f=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="",p=0,m=1===r?2:4;p<m;p++)h+="\n        "+f[p]+"\n        if ("+d+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";h+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+o+");\n      const "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "}(t.shape,e,n):new function(t,e,n){this.variableNames=["x"],this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});var r=t.length,i=Ii(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+o+");\n      "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+o+";\n        int end = "+a+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "}(t.shape,e,n);return this.compileAndRun(r,[t])},t.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=h.getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var i=Ii(this.rank),o=wi("rc",this.rank),a=new Array(this.rank);for(r=0;r<e.length;r++)a[e[r]]=o[r];var s="vec2("+a.slice(-2).join()+")",u="++"+o[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+a.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+o[this.rank-1]+";\n      if(++"+o[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }  \n      setOutput(result);\n    }\n    "}(t.shape,e):new function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var i=Ii(this.rank),o=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),i=0;i<t.length;i++)r[t[i]]=n[i];return r.join()}(e);this.userCode="\n    void main() {\n      "+i+" resRC = getOutputCoords();\n      setOutput(getA("+o+"));\n    }\n    "}(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=Ii(this.rank),o=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],o=0;o<t.length;o++)o===e?i.push("int(getIndices("+r[o]+"))"):i.push(""+r[o]);return i.join()}(t,n);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+o+"));\n      }\n    "}(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},t.prototype.batchToSpaceND=function(t,e,n){w(t.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=_r(t.shape,e,r),o=kr(i.length,e.length),a=Sr(t.shape,e,r),s=Er(n,e.length),u=Or(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){w(t.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=_r(a.shape,e,r,!1),u=kr(s.length,e.length,!1),c=Sr(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(c)},t.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],o=new function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=Math.ceil(i/n);this.outputShape=[r,o];var a="0.0",s="";"prod"===e?a="1.0":"min"===e?(a="1.0 / 1e-20",s="min"):"max"===e&&(a="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,f="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",d="vec4";"all"===e?(a="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===e&&(a="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var h="";i%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+a+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+a+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:Mr(i),inSize:i,batchSize:r},e),a=o.outputShape,s=a[0],u=a[1],c=this.makeOutputArray([s,u],n);return this.compileAndRun(o,[t],c),1===c.shape[1]?c:this.reduce(c,e,n)},t.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],i=t.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var o=new function(t,e,n){this.variableNames=["A"];var r=t.windowSize,i=t.batchSize,o=t.inSize,a=Math.ceil(o/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,a];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:Mr(i),inSize:i,batchSize:r},e,null==n),a=o.outputShape,s=a[0],u=a[1],c=this.makeOutputArray([s,u],"int32"),l=[t];return null!=n&&l.push(n),this.compileAndRun(o,l,c),1===c.shape[1]?c:this.argReduce(t,e,c)},t.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=new function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,w(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var i=t[t.length-1],o=Math.ceil(i/e);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),r||this.variableNames.push("bestIndicesA");var a,s,u=this.outputShape,c=u.length,l=Ii(c),f=xi("coords",c);if(1===o){var d=Ii(s=c+1);a="\n        "+d+" sourceLocR = "+d+"("+f.join()+", 0);\n        ++"+f[c-1]+";\n        "+d+" sourceLocG = "+d+"("+f.join()+", 0);\n        ++"+f[c-2]+";\n        "+d+" sourceLocA = "+d+"("+f.join()+", 0);\n        --"+f[c-1]+";\n        "+d+" sourceLocB = "+d+"("+f.join()+", 0);\n        --"+f[c-2]+";"}else s=c,a="\n        "+l+" sourceLocR = coords;\n        ++"+f[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+f[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+f[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+f[c-2]+";";var h=["x","y","z","w","u","v"].slice(0,s),p="."+h[s-1],m=h.map(function(t){return"int "+t}),g=xi("sourceLocR",s-1).concat("inIdx.r"),v=xi("sourceLocG",s-1).concat("inIdx.g"),b=xi("sourceLocB",s-1).concat("inIdx.b"),y=xi("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",_=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+y.join()+")));",k="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+y.join()+") : 0.)",S=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+h.join()+"),\n                                          vec2("+h.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+h.join()+"),\n                               vec2("+h.slice(-2).join()+"));\n      }\n      "+S+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+f[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+f[c-2]+" < "+(u[c-2]-1)+";\n        "+a+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+_+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "}(r,Mr(r[r.length-1]),e,null==n),o=this.makePackedTensor(i.outputShape,"int32"),a=null==n?[t]:[t,n];return this.compileAndRun(i,a,o),o.rank===t.rank?this.argReducePacked(t,e,o):o},t.prototype.sum=function(t,e){an("sum",e,t.rank);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i),a=St(t.dtype);return this.reduce(o,"sum",a).reshape(r)},t.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i),a=St(t.dtype);return this.reduce(o,"prod",a).reshape(r)},t.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=sn([r],t.rank),o=t;null!=i&&(o=t.transpose(i),r=cn(1,t.rank)[0]);var a=function(t,e,n){for(var r=[],i=t.length,o=0;o<i;o++)o!==e?r.push(t[o]):r.push(n);return r}(o.shape,r,n),s=S([o.shape[r]]),u=o.as2D(-1,s),c=St(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(a);return null!=i&&(l=l.transpose(un(i))),l},t.prototype.segOpCompute=function(t,e,n,r,i){var o=t.shape[0],a=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Cr?(n=t,r=!0):n=K(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=K(t,n+1);return n}(a,i),u=new function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=t.numSegments,a=o*Math.ceil(i/n);this.outputShape=[r,a];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";i%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var f="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+o+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+o+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:a,batchSize:o,numSegments:i},e),c=u.outputShape,l=c[0],f=c[1],d=this.makeOutputArray([l,f],r);return this.compileAndRun(u,[t,n],d),d.shape[1]===i?d:(n=Mn(0,i).tile([a/s]),this.segOpCompute(d,e,n,r,i))},t.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(an("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!h.getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var i=rn(t.shape,r),o=i[0],a=S(i[1]),s=t.as2D(-1,a);return this.argReduce(s,n).reshape(o)}return this.argReducePacked(t,n)},t.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},t.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},t.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var i=new function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,i=t[t.length-1],o=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+i+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+Ii(r)+" coords = getOutputCoords();\n        int end = "+qi(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+i+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+o+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+qi(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}(t.shape,n,r);return this.compileAndRun(i,[t])},t.prototype.equal=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Li("return float(a == b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.notEqual=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Li("return float(a != b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Li("return float(a < b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.lessEqual=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Li("return float(a <= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Li("return float(a > b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greaterEqual=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Li("return float(a >= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalNot=function(t){var e=new No(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},t.prototype.logicalAnd=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Li("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalOr=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Li("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.select=function(t,e,n){var r=new function(t,e,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],s=[],u=0;u<e.length;u++)s.push(""+o[u]),u<t&&a.push(""+o[u]);r=a.join(),i=s.join()}var c=Ii(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "}(t.rank,e.shape,e.rank),i=this.makeOutputArray(r.outputShape,kt(e.dtype,n.dtype));return this.compileAndRun(r,[t,e,n],i)},t.prototype.where=function(t){Ye("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return yi(t.shape,e)},t.prototype.topk=function(t,e,n){return bi(t.dataSync(),t.shape,t.dtype,e)},t.prototype.min=function(t,e){an("min",e,t.rank);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i);return this.reduce(o,"min",o.dtype).reshape(r)},t.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.mod=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);an("max",e,t.rank);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i);return this.reduce(o,"max",o.dtype).reshape(r)},t.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.all=function(t,e){an("all",e,t.rank);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i);return this.reduce(o,"all",o.dtype).reshape(r)},t.prototype.any=function(t,e){an("any",e,t.rank);var n=rn(t.shape,e),r=n[0],i=S(n[1]),o=t.as2D(-1,i);return this.reduce(o,"any",o.dtype).reshape(r)},t.prototype.squaredDifference=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("return (a - b) * (a - b);",t.shape,e.shape):new Li("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.realDivide=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(b.x == 0.0) {\n    result.x = NAN;\n  } else if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(b.y == 0.0) {\n    result.y = NAN;\n  } else if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(b.z == 0.0) {\n    result.z = NAN;\n  } else if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(b.w == 0.0) {\n    result.w = NAN;\n  } else if(a.w == b.w) {\n    result.w = 1.;\n  }\n  \n  return result;\n","float32",!0);var n=new Li("\nif (b == 0.0) {\n  return NAN;\n} \nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t,e],r)},t.prototype.floorDiv=function(t,e){if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Li("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[t,e],r)},t.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Fi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=kt(t.dtype,e.dtype);if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Fi,n);var r=new Li(Fi,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.packedBinaryOp=function(t,e,n,r,i){void 0===i&&(i=!1);var o=new Bi(n,t.shape,e.shape,i),a=this.makePackedTensor(o.outputShape,r);return this.compileAndRun(o,[t,e],a)},t.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,i=this.texData.get(t.dataId),o=this.texData.get(e.dataId),a=[[i.complexTensors.real,o.complexTensors.real],[i.complexTensors.imag,o.complexTensors.imag]].map(function(i){var o=i[0],a=i[1],s=r.makeComplexComponentTensorHandle(t,o),u=r.makeComplexComponentTensorHandle(e,a),c=new Li(n,t.shape,e.shape),l=r.makeOutputArray(c.outputShape,kt(o.dtype,a.dtype));return r.compileAndRun(c,[s,u],l)}),s=a[0],u=a[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},t.prototype.makeComplexComponentTensorHandle=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},t.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>h.get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var i=t.map(function(t){return t.dtype}).reduce(function(t,e){return kt(t,e)}),o=t.map(function(t){return t.shape}),a=h.getBool("WEBGL_PACK"),s=a?new function(t,e){this.outputShape=[],this.usesPackedTextures=!0,this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,o):new function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "}(t[0].shape,o),u=a?this.makePackedTensor(s.outputShape,i):this.makeOutputArray(s.outputShape,i);return this.compileAndRun(s,t,u)},t.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Pi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=kt(t.dtype,e.dtype);if(h.getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Pi,t.dtype);var r=new Li(Pi,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.pow=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS"),r=n?new Bi("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),i=kt(t.dtype,e.dtype),o=n?this.makePackedTensor(r.outputShape,i):this.makeOutputArray(r.outputShape,i);return this.compileAndRun(r,[t,e],o)},t.prototype.ceil=function(t){var e=new No(t.shape,"return ceil(x);");return this.compileAndRun(e,[t])},t.prototype.floor=function(t){var e=new No(t.shape,"return floor(x);");return this.compileAndRun(e,[t])},t.prototype.sign=function(t){var e=new No(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},t.prototype.isNaN=function(t){var e=new No(t.shape,"return float(isnan(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.isInf=function(t){var e=new No(t.shape,"return float(isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.isFinite=function(t){var e=new No(t.shape,"return float(!isnan(x) && !isinf(x));"),n=this.makeOutputArray(e.outputShape,"bool");return this.compileAndRun(e,[t],n)},t.prototype.round=function(t){var e=new No(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},t.prototype.exp=function(t){var e;return e=h.getBool("WEBGL_PACK")?new Ro(t.shape,Do):new No(t.shape,Do),this.compileAndRun(e,[t])},t.prototype.expm1=function(t){var e=new No(t.shape,"return exp(x) - 1.0;");return this.compileAndRun(e,[t])},t.prototype.log=function(t){var e;return e=h.getBool("WEBGL_PACK")?new Ro(t.shape,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n"):new No(t.shape,"if (x < 0.0) return NAN;\n  return log(x);"),this.compileAndRun(e,[t])},t.prototype.log1p=function(t){var e=new No(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},t.prototype.sqrt=function(t){var e=new No(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},t.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new No(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},t.prototype.square=function(t){var e=new No(t.shape,"return x * x;");return this.compileAndRun(e,[t])},t.prototype.reciprocal=function(t){var e=new No(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},t.prototype.relu=function(t){var e;return e=h.getBool("WEBGL_PACK")?new Ro(t.shape,jo):new No(t.shape,Io),this.compileAndRun(e,[t])},t.prototype.prelu=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",t.shape,e.shape):new Li("return (a < 0.) ? b * a : a;",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.elu=function(t){var e=new No(t.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(e,[t])},t.prototype.eluDer=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Li("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.selu=function(t){var e=new No(t.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(e,[t])},t.prototype.int=function(t){var e=new No(t.shape,"return float(int(x));"),n=this.makeOutputArray(e.outputShape,"int32");return this.compileAndRun(e,[t],n)},t.prototype.clip=function(t,e,n){var r,i=(r=h.getBool("WEBGL_PACK_CLIP")?new Wi(t.shape):new Ui(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},t.prototype.abs=function(t){var e=new No(t.shape,"return abs(x);");return this.compileAndRun(e,[t])},t.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "}(t.shape),r=[this.makeComplexComponentTensorHandle(t,e.complexTensors.real),this.makeComplexComponentTensorHandle(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(t){var e=new No(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},t.prototype.softplus=function(t){var e=new No(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},t.prototype.sin=function(t){var e=new No(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},t.prototype.cos=function(t){var e=new No(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},t.prototype.tan=function(t){var e=new No(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},t.prototype.asin=function(t){var e=new No(t.shape,"return asin(x);");return this.compileAndRun(e,[t])},t.prototype.acos=function(t){var e=new No(t.shape,"return acos(x);");return this.compileAndRun(e,[t])},t.prototype.atan=function(t){var e=new No(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},t.prototype.atan2=function(t,e){var n=h.getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bi("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Li("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.sinh=function(t){var e=new No(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.cosh=function(t){var e=new No(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.tanh=function(t){var e=new No(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},t.prototype.asinh=function(t){var e=new No(t.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},t.prototype.acosh=function(t){var e=new No(t.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(e,[t])},t.prototype.atanh=function(t){var e=new No(t.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(e,[t])},t.prototype.erf=function(t){var e=new No(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(e,[t])},t.prototype.step=function(t,e){var n=new No(t.shape,function(t){return void 0===t&&(t=0),To+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},t.prototype.conv2dByMatMul=function(t,e,n){var r=t.shape,i=this.texData.get(t.dataId),o=n.inChannels,a=r[0]*r[1]*r[2],s=n.outChannels,u=(1===a||1===s)&&o>1e3,c=r[2]%2!=0&&!!i.isPacked;if(u||!h.getBool("WEBGL_LAZILY_UNPACK")||!h.getBool("WEBGL_PACK_BINARY_OPERATIONS")||!c){var l=this.reshape(t,[1,r[0]*r[1]*r[2],n.inChannels]),f=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.batchMatMul(l,f,!1,!1),n.outShape)}var d=pt.make([1,r[0]*r[1]*(r[2]+1),n.inChannels],{dataId:t.dataId},t.dtype,this),p=i.shape;i.shape=i.shape.slice(),i.shape[i.shape.length-2]++,w(ye(i.shape,d.shape),function(){return"packed reshape "+i.shape+" to "+d.shape+" isn't free"});var m=this.reshape(e,[1,n.inChannels,n.outChannels]),g=this.batchMatMul(d,m,!1,!1),v=this.texData.get(g.dataId);return w(v.isPacked,function(){return"batchMatMul result is expected to be packed"}),i.shape=p,v.shape=n.outShape,pt.make(n.outShape,{dataId:g.dataId},g.dtype,this)},t.prototype.conv2dWithIm2Row=function(t,e,n){var r=n.filterWidth,i=n.filterHeight,o=n.inChannels,a=n.outWidth,s=n.outHeight,u=r*i*o,c=s*a,l=[u,c],f=t.squeeze([0]),d=e.reshape([1,u,-1]),h=new function(t,e,n){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;var r=n.filterWidth,i=n.inChannels,o=n.strideWidth,a=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,f=s.left,d=s.top,h=i*r,p=_i();this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            int blockIndex = rc.y + col;\n            int pos = rc.x + row;\n\n            if(blockIndex >= "+t[1]+" || pos >= "+t[0]+") continue;\n\n            int offsetY = int(blockIndex / ("+u+")) * "+a+" - "+d+";\n            int d0 = offsetY + "+l+" * (pos / "+h+");\n\n            if(d0 >= "+e[0]+" || d0 < 0) continue;\n\n            int offsetX = int(mod(float(blockIndex), "+u+".) * "+o+". - "+f+".);\n            int d1 = offsetX + "+c+" * (int(mod(float(pos), "+h+".) / "+i+".));\n\n            if(d1 >= "+e[1]+" || d1 < 0) continue;\n\n            vec2 innerDims = vec2(d1, int(mod(float(pos), "+i+".)));\n            result[row * 2 + col] = getChannel(getA(d0, int(innerDims.x),\n                                              int(innerDims.y)), innerDims);\n          }\n        }\n\n        "+p.output+" = result;\n      }\n    "}(l,f.shape,n),p=this.compileAndRun(h,[f]).reshape([1,l[0],l[1]]),m=new wo(p.shape,[1,c,n.outChannels],!0,!1);return this.compileAndRun(m,[p,d]).reshape([1,s,a,n.outChannels])},t.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(h.getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.top,n=t.padInfo.left,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.filterHeight,u=t.filterWidth,c=4*Math.floor(t.inChannels/4),l=t.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+i+");\n      const ivec2 pads = ivec2("+e+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+o+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+a+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+c+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===l)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+c+") *\n                getW(wR, wC, "+c+", d2);\n            } else if ("+(2===l)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+c+"),\n                getX(batch, xR, xC, "+c+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+c+", d2),\n                getW(wR, wC, "+c+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===l)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+c+"),\n                getX(batch, xR, xC, "+c+" + 1),\n                getX(batch, xR, xC, "+c+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+c+", d2),\n                getW(wR, wC, "+c+" + 1, d2),\n                getW(wR, wC, "+c+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerInput=function(t,e,n){var r=new function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - 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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerFilter=function(t,e,n){var r=new function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left;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 < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+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    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2D=function(t,e,n){var r;return h.getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new function(t){this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,c=t.filterHeight,l=t.filterWidth,f=l,d="int xR; int xC; int xCOffset;",h=0;h<c;h++)for(var p=0;p<l;p++)d+="\n          vec4 xTexelR"+h+"C"+2*p+" = vec4(0.);\n          vec4 wR"+h+"C"+p+" = vec4(0.);\n          vec4 xR"+h+"C"+p+" = vec4(0.);";for(h=0;h<c;h++)for(var m=0;m<f;m++){if(d+="\n          xR = xRCorner + "+h*s+";\n          xC = xCCorner + "+(p=2*m)*u+";\n        ",1===a){if(p<l&&(d+=i%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+h+"C"+p+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+h+"C"+p+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+h+"C"+p+" = vec4(previous.zw, xTexelR"+h+"C"+p+".xy);\n                } else {\n                  xR"+h+"C"+p+" = vec4(0, 0, xTexelR"+h+"C"+p+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+e+" && xC >= 0 && xC < "+n+") {\n                  xTexelR"+h+"C"+p+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+h+"C"+p+" = vec4(0.);\n                }\n\n                xR"+h+"C"+p+" = xTexelR"+h+"C"+p+";\n              ",p+1<l)){var g=i%2==0?b(u):u;u%2==0&&i%2==1||u%2!=0&&i%2!=1?(d+="\n                  xCOffset = xC + "+i%2+" + "+g+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+h+"C"+(p+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",u>1&&(d+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+e+" &&\n                      xCOffset >= 0 && xCOffset < "+n+") {\n                      xTexelR"+h+"C"+p+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+h+"C"+p+" = vec4(0.);\n                    }\n                  "),d+="\n                  xR"+h+"C"+(p+1)+" = vec4(\n                    xTexelR"+h+"C"+p+".zw, xTexelR"+h+"C"+(p+2)+".xy);\n                "):d+="\n                  xCOffset = xC + "+g+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+h+"C"+(p+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+h+"C"+(p+1)+" = xTexelR"+h+"C"+(p+2)+";\n                "}}else p<l&&(d+="\n              if(xR >= 0 && xR < "+e+") {\n            ",i%2==1?(d+="\n                xCOffset = xC + 1 - "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+h+"C"+p+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+h+"C"+p+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+n+") {\n                  xTexelR"+h+"C"+(p+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+h+"C"+(p+2)+" = vec4(0.);\n                }\n\n                xR"+h+"C"+p+" = vec4(\n                  xTexelR"+h+"C"+p+".zw, xTexelR"+h+"C"+(p+2)+".zw);\n              ",p+1<l&&(d+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+a+";\n                  if(xCOffset >= 0 && xCOffset < "+n+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+h+"C"+(p+1)+" = vec4(xTexelR"+h+"C"+(p+2)+".xy, final.xy);\n                ")):(d+="\n                if(xC >= 0 && xC < "+n+") {\n                  xTexelR"+h+"C"+p+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+h+"C"+p+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+h+"C"+(p+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+h+"C"+(p+2)+" = vec4(0.);\n                }\n\n                xR"+h+"C"+p+" = vec4(\n                  xTexelR"+h+"C"+p+".xy, xTexelR"+h+"C"+(p+2)+".xy);\n              ",p+1<l&&(d+="\n                  xR"+h+"C"+(p+1)+" = vec4(\n                    xTexelR"+h+"C"+p+".zw, xTexelR"+h+"C"+(p+2)+".zw);\n                ")),d+="}");p<l&&(d+="\n            vec4 wTexelR"+h+"C"+p+" = getW("+h+", "+p+", d1, q);\n            wR"+h+"C"+p+" = vec4(wTexelR"+h+"C"+p+".xz, wTexelR"+h+"C"+p+".xz);\n          ",p+1<l&&(d+="\n              vec4 wTexelR"+h+"C"+(p+1)+" = getW("+h+", "+(p+1)+", d1, q);\n              wR"+h+"C"+(p+1)+" =\n                vec4(wTexelR"+h+"C"+(p+1)+".xz, wTexelR"+h+"C"+(p+1)+".xz);"))}for(h=0;h<c;h++)for(p=0;p<l;p++)d+="result += xR"+h+"C"+p+" * wR"+h+"C"+p+";";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 result = vec4(0.);\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "}(n),this.compileAndRun(r,[t,e],this.makePackedTensor(n.outShape,t.dtype))):(r=new function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,c=t.filterHeight,l=t.filterWidth,f=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\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 / "+f+";\n        int q = d2 - d1 * "+f+";\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        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+c+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+e+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+l+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\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        setOutput(dotProd);\n      }\n    "}(n),this.compileAndRun(r,[t,e]))},t.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=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 * "+o+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+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    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3d=function(t,e,n){var r=new function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,f=t.filterHeight,d=t.filterWidth,h=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+o+", "+a+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+d+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+h+") *\n                  getW(wF, wR, wC, "+h+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1),\n                  getX(batch, xF, xR, xC, "+h+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2),\n                  getW(wF, wR, wC, "+h+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerInput=function(t,e,n){var r=new function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\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 < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+o+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+a+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+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    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerFilter=function(t,e,n){var r=new function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,a=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 < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+i+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+o+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+a+";\n\n                if (xC < 0 || xC >= "+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    "}(n);return this.compileAndRun(r,[t,e])},t.prototype.maxPool=function(t,e){var n=new _o(e,"max",!1),r=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[t],r)},t.prototype.avgPool=function(t,e){var n=new _o(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.maxPoolBackprop=function(t,e,n,r){var i=new _o(r,"max",!0),o=this.compileAndRun(i,[e]),a=new function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,a=i-1-t.padInfo.top,s=o-1-t.padInfo.left,u=i*o-1;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+o+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+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 = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+o+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.makeOutputArray(a.outputShape,e.dtype),u=this.compileAndRun(a,[t,o],s);return o.dispose(),u},t.prototype.avgPoolBackprop=function(t,e,n){var r=new function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,f=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+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 < "+s+";\n            wR += "+o+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+a+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+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    "}(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},t.prototype.cast=function(t,e){return ai(t,e,this)},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,o=0;o<t.rank;o++)o!==e&&(r[i++]=t.shape[o]);var a=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(o=0;o<u.length;o++)a[e]=o,u[o]=this.slice(t,a,s).reshape(r);return u},t.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);return!n.isPacked||ye(t.shape,e)||null!==n.texture&&ye(n.shape,e)?si(t,e):this.packedReshape(t,e)},t.prototype.resizeBilinear=function(t,e,n,r){var i=h.getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+a+".0,\n                                     "+a+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n        \n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+"; \n        bool hasNextRow = coords.z < "+(n-1)+";\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    "}(t.shape,e,n,r):new function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "}(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeBilinearBackprop=function(t,e,n){var r=new function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],c=[n&&s>1?i-1:i,n&&u>1?o-1:o],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(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), "+(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    "}(t,e,n);return this.compileAndRun(r,[t])},t.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],c=[n&&s>1?i-1:i,n&&u>1?o-1:o],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],d=c[1]/l[1],h=1/f,p=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(p)+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("+f+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(t,e,n);return this.compileAndRun(r,[t])},t.prototype.multinomial=function(t,e,n,r){var i=e?t:qr(t),o=i.shape[0],a=i.shape[1],s=new xo(o,a,n),u=this.makeOutputArray(s.outputShape,"int32"),c=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],u,c)},t.prototype.oneHot=function(t,e,n,r){var i=new function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "}(t.size,e,n,r);return this.compileAndRun(i,[t])},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return Ye("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),pi(t.dataSync(),e.dataSync(),n,r,i)},t.prototype.cropAndResize=function(t,e,n,r,i,o){var a=new function(t,e,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=t[0],a=t[1],s=t[2],u=t[3],c=e[0],l=n[0],f=n[1];this.outputShape=[c,l,f,u];var d="bilinear"===r?1:0,h=[a-1+".0",s-1+".0"],p=h[0],m=h[1],g=l>1?[""+(a-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],v=g[0],b=g[1],y=g[2],w=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],_=w[1],k=w[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+o+") {\n          return;\n        }\n\n        float height_scale = "+b+";\n        float width_scale = "+_+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+k+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+d+" == 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    "}(t.shape,e.shape,r,i,o);return this.compileAndRun(a,[t,e,n])},t.prototype.depthToSpace=function(t,e,n){w(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],o="NHWC"===n?t.shape[2]:t.shape[3],a="NHWC"===n?t.shape[3]:t.shape[1],s=i*e,u=o*e,c=a/(e*e),l=new $i("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},t.prototype.split=function(t,e,n){return gi(t,e,n)},t.prototype.scatterND=function(t,e,n){var r=Nr(0,t,n),i=r.sliceRank,o=r.numUpdates,a=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/a,a],l=t.reshape([o,i]),f=e.reshape([o,a]);if(0===u)return si(gn([]),n);var d=bn(0),h=new ko(o,i,l.rank,f.rank,s,c);return this.compileAndRun(h,[f,l,d]).reshape(n)},t.prototype.sparseToDense=function(t,e,n,r){var i=Nr(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.strides,u=i.outputSize,c=new ko(a,o,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},t.prototype.fft=function(t){return this.fftImpl(t,!1)},t.prototype.ifft=function(t){return this.fftImpl(t,!0)},t.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new Gi("return real * expR - imag * expI;",t.shape,e),i=new Gi("return real * expI + imag * expR;",t.shape,e),o=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],a=this.compileAndRun(r,o),s=this.compileAndRun(i,o),u=this.complex(a,s).as2D(t.shape[0],t.shape[1]);return a.dispose(),s.dispose(),u},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Ar(t,e),o=i[0],a=i[1],s=i[2],u=i[3],c=e.reshape([a,r]),l=t.reshape([t.size/s,s]),f=new function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=Ii(e.length),i=Ii(n.length),o=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+i+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+o+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "}(r,u,[a,s]);return this.compileAndRun(f,[l,c]).reshape(o)},t.prototype.fill=function(t,e,n){if("string"===(n=n||$(e))){var r=R(n,S(t));return r.fill(e),pt.make(t,{values:r},n)}var i=new Ki(t,e),o=i.getCustomSetupFunc(e),a=this.makeOutputArray(t,n);return this.compileAndRun(i,[],a,o)},t.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},t.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},t.prototype.linspace=function(t,e,n){return ui(t,e,n)},t.prototype.makeOutputArray=function(t,e){return pt.make(t,{},e,this)},t.prototype.makePackedTensor=function(t,e){var n=pt.make(t,{},e,this);return this.texData.get(n.dataId).isPacked=!0,n},t.prototype.unpackTensor=function(t){var e=new function(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;var e=t.length,n=xi("rc",e),r=Ii(e),i=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),o=n.slice(-2),a=e<=1?"rc":"vec2("+o.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+i+");\n\n        setOutput(getChannel(packedInput, "+a+"));\n      }\n    "}(t.shape);return this.compileAndRun(e,[t],pt.make(e.outputShape,{},t.dtype,this))},t.prototype.packTensor=function(t){var e=new function(t){this.variableNames=["A"],this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=xi("rc",e),r=Ii(e),i=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",i=t-2;i<t;i++)r+=n[i]+" >= "+e[i],i<t-1&&(r+="||");return r}(e,t,n),o=function(t,e,n,r){if(1===t)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),a=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var o=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),a=2;a<t;a++)o=e[e.length-1-a]+","+o;n.push(o)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+o+"\n\n            setOutput(vec4("+a+"));\n          }\n        }\n      "}}(t.shape);return this.compileAndRun(e,[t],this.makePackedTensor(t.shape,t.dtype),null,!0)},t.prototype.packedReshape=function(t,e){var n=t.reshape([pe(t.shape)].concat(me(t.shape))),r=new function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>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["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+ki(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Si(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "}([pe(e)].concat(me(e)),n.shape);return this.compileAndRun(r,[n]).reshape(e)},t.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,i=n.shape,o=n.dtype,a=ge(i),s=Yi(i),u=this.makeTensorHandle(i,"float32");return this.texData.get(u.dataId).isPacked=!0,this.texData.get(u.dataId).dtype=o,this.texData.get(u.dataId).texShape=s.map(function(t){return 2*t}),e=r?new function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;var n=_i();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ki(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "}(a,s):new function(t,e){this.variableNames=["A"];var n=_i();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ki(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "}(a,s),this.compileAndRun(e,[{shape:a,dtype:o,dataId:t}],u,null,!0),u},t.prototype.compileAndRun=function(t,e,n,r,i){var o=this;if(void 0===i&&(i=!1),null==n&&(n=t.usesPackedTextures?this.makePackedTensor(t.outputShape,e[0].dtype):this.makeOutputArray(t.outputShape,e[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=j(n.dtype,0),n;var a=e.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=o.texData.get(e.dataId);if(null==n.texture){if(!t.usesPackedTextures&&S(e.shape)<=h.getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.usesPackedTextures&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.usesPackedTextures)e=n.isPacked?o.unpackTensor(e):o.packTensor(e),n=o.texData.get(e.dataId);else if(n.isPacked&&!ye(n.shape,e.shape)){var r=e,i=e.shape;e.shape=n.shape,e=o.packedReshape(e,i),n=o.texData.get(e.dataId),r.shape=i}return o.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},c=function(t,e,n){var r="";a.concat(n).forEach(function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e});var i=t.userCode;return t.constructor.name+"_"+r+"_"+i}(t,0,u),l=this.getAndSaveBinary(c,function(){return function(t,e,n,r){var i=e.userCode,o=n.map(function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),a=o.map(function(t){return t.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=function(t,e,n,r){var i=[];t.forEach(function(t){var e=S(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?i.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(i.push("uniform sampler2D "+t.name+";"),i.push("uniform int offset"+t.name+";"))});var o,a,s=i.join("\n"),u=t.map(function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?function t(e){var n;switch(e.shapeInfo.logicalShape.length){case 0:return"\n    vec4 get"+(n=e.name).charAt(0).toUpperCase()+n.slice(1)+"() {\n      return "+_i().texture2D+"("+n+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=_i();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+o.texture2D+"("+e+", uv);\n    }\n  "}(e);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,o=i[0],a=i[1],s=_i();if(null!=i&&E(e,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+a+".0, "+o+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(e[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===n[0]){var s=Di(e,n.slice(1));return"\n        "+t(s)+"\n        vec4 "+i+"(int b, int row, int col) {\n          return "+i+"("+ji(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(n[2]/2);return"\n    vec4 "+i+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+l*Math.ceil(n[1]/2)+", "+l+", b, row, col);\n      return "+_i().texture2D+"("+r+", uv);\n    }\n  "}(e);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],s=a[0],u=a[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),f="int b, int row, int col",d="b * "+l+" + (row / 2) * "+c+" + (col / 2)",h=2;h<n-1;h++)f="int b"+h+", "+f,d="b"+h+" * "+(l*=e[n-h-1])+" + "+d;return"\n    vec4 "+i+"("+f+") {\n      int index = "+d+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+_i().texture2D+"("+r+", uv);\n    }\n  "}(e)}}(t):function t(e){var n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===i&&1===o)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=t.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+a[0]+", "+a[1]+", "+Ni(e)+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+Ti(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===o&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=Ni(e);return 1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+a+") + 0.5) / "+i+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+a+") + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+o+", index + "+a+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 2:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape;if(null!=o&&E(n,o)){var a=o[0];return"\n    float "+i+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+o[1]+".0, "+a+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=D(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var f=Di(e,l);return"\n      "+t(f)+"\n      float "+i+"(int row, int col) {\n        return "+i+"("+ji(["row","col"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+Ti(e)+"\n      }\n    ";var d=o[0],h=o[1],p=Ni(r);return 1===h?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+d+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===d?"\n    float "+i+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+h+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+i+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+d+", "+h+", index);\n    return sampleTexture("+r+", uv);\n  }\n"}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=n[1]*n[2],a=n[2],s=D(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var f=Di(e,l);return"\n        "+t(f)+"\n        float "+i+"(int row, int col, int depth) {\n          return "+i+"("+ji(["row","col","depth"],c)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+Ti(e)+"\n      }\n    ";var d=e.shapeInfo.texShape,h=d[0],p=d[1],m=e.shapeInfo.flatOffset;return p===o&&null==m?"\n        float "+i+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+p+".0, "+h+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ":p===a&&null==m?"\n    float "+i+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+p+".0, "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n      float "+i+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+Ni(r)+";\n        vec2 uv = uvFromFlat("+h+", "+p+", index);\n        return sampleTexture("+r+", uv);\n      }\n  "}(e);case 4:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=n[3],a=n[2]*o,s=n[1]*a,u=D(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var f=Di(e,c);return"\n      "+t(f)+"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        return "+i+"("+ji(["row","col","depth","depth2"],l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+a+", "+o+", 1)));\n        "+Ti(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],m=h[1];return m===s&&null==d?"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":m===o&&null==d?"\n      float "+i+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+i+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+p+", "+m+", index + "+Ni(r)+");\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 5:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=n[4],a=n[3]*o,s=n[2]*a,u=n[1]*s,c=D(n),l=c.newShape,f=c.keptDims;if(l.length<n.length){var d=Di(e,l);return"\n      "+t(d)+"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+i+"("+ji(["row","col","depth","depth2","depth3"],f)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+a+", "+o+")) +\n          depth3;\n        "+Ti(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,m=p[0],g=p[1];return g===u&&null==h?"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+s+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":g===o&&null==h?"\n      float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]+",\n               "+n[2]*n[3]+", "+n[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+i+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+u+" + col * "+s+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+Ni(r)+";\n      vec2 uv = uvFromFlat("+m+", "+g+", index);\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 6:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=D(n),a=o.newShape,s=o.keptDims;if(a.length<n.length){var u=Di(e,a);return"\n      "+t(u)+"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+i+"("+ji(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var c=n[5],l=n[4]*c,f=n[3]*l,d=n[2]*f,h=n[1]*d;if(e.shapeInfo.isUniform)return"\n      float "+i+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+h+", "+d+", "+f+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+c+", 1)));\n        "+Ti(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];return v===h&&null==p?"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+d+", "+f+", "+l+", "+c+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":v===c&&null==p?"\n      float "+i+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]*n[4]+",\n               "+n[2]*n[3]*n[4]+",\n               "+n[3]*n[4]+",\n               "+n[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+i+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+h+" + col * "+d+" + depth * "+f+" +\n          depth2 * "+l+" + depth3 * "+c+" + depth4 + "+Ni(r)+";\n      vec2 uv = uvFromFlat("+g+", "+v+", index);\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(t);var i=t.shapeInfo.logicalShape,o=e.logicalShape;return i.length<=o.length&&(r+=n?function(t,e){var n,r,i=t.name,o=i.charAt(0).toUpperCase()+i.slice(1),a="get"+o+"AtOutCoords",s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length,c=Gr(t.shapeInfo.logicalShape,e.logicalShape),l=Ii(u),f=u-s,d=["x","y","z","w","u","v"];n=0===s?"":u<2&&c.length>=1?"coords = 0;":c.map(function(t){return"coords."+d[t+f]+" = 0;"}).join("\n"),r=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+d[e+f]}).join(", ");var h="return outputValue;",p=1===S(t.shapeInfo.logicalShape),m=1===S(e.logicalShape);if(1!==s||p||m){if(p&&!m)h=1===u?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(c.length){var g=s-2,v=s-1;c.indexOf(g)>-1&&c.indexOf(v)>-1?h="return vec4(outputValue.x);":c.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":c.indexOf(v)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+o+"("+r+");\n      "+h+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",o=e.texShape,a=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&E(a,o))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c=Ii(u),l=Gr(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+c+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&l.length>=1?"coords = 0;":l.map(function(t){return"coords."+d[t+f]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+d[e+f]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),c=e.texShape,l=_i(),f="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+l.texture2D+"(textureSampler, uv).r;\n    }\n  ",d=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    #define isnan(value) isnan_custom(value)\n    "+t.defineSpecialNaN+"\n    bvec4 isnan_custom(vec4 val) {\n      return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n    }\n\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+Oi+"\n    "+Ai+"\n    "+Ci+"\n  "}(l);return e.isPacked?(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(E(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=(o=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+i[0]+", "+i[1]+"));\n      int index = resTexRC.x * "+i[1]+" + resTexRC.y;\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+o+");\n      int c = imod(index, "+o+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2),o=i,a="",s="b, r, c",u=2;u<t.length-1;u++)a="\n      int b"+u+" = index / "+(o*=t[t.length-u-1])+";\n      index -= b"+u+" * "+o+";\n    "+a,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+a+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,i,o,a}(e.logicalShape,c),a="\n    void setOutput(vec4 val) {\n      "+l.output+" = val;\n    }\n  "):(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return E(t,e)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ":1===t[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===t[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=ki(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=ki(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=ki(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=ki(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),a="\n    void setOutput(float val) {\n      "+l.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(d+=Mi),[d,f,a,s,o,u,n].join("\n")}(o,s,i,e.usesPackedTextures),c=t.createProgram(u),l=null,f=t.getUniformLocation(c,"NAN",!1);1===h.getNumber("WEBGL_VERSION")&&(l=t.getUniformLocation(c,"INFINITY",!1));for(var d={},p=0;p<e.variableNames.length;p++){var m=e.variableNames[p];d[m]=t.getUniformLocation(c,m,!1),d["offset"+m]=t.getUniformLocation(c,"offset"+m,!1)}return{program:e,source:u,webGLProgram:c,uniformLocations:d,inShapeInfos:a,outShapeInfo:s,infLoc:l,nanLoc:f}}(o.gpgpu,t,a,u)}),f=null!=this.activeTimers;return f&&(s=this.startTimer()),function(t,e,n,r,i){yo(e.inShapeInfos,n),yo([e.outShapeInfo],[r]);var o=r.texData.texture,a=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(o,a[0],a[1]):t.setOutputMatrixTexture(o,a[0],a[1]),t.setProgram(e.webGLProgram),1===h.getNumber("WEBGL_VERSION")&&null!==e.infLoc&&t.gl.uniform1f(e.infLoc,1/0),null!==e.nanLoc&&t.gl.uniform1f(e.nanLoc,NaN),n.forEach(function(n,r){var i=e.program.variableNames[r],o=e.uniformLocations[i],a=e.uniformLocations["offset"+i];if(null!=o)if(n.isUniform)if(S(n.shape)<2)t.gl.uniform1f(o,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(o,s)}else null!=n.texData.slice&&null!=a&&t.gl.uniform1i(a,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,o,r)}),null!=i&&i(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,l,a,u,r),f&&(s=this.endTimer(s),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(s)})),!h.getBool("WEBGL_LAZILY_UNPACK")&&this.texData.get(n.dataId).isPacked&&!1===i?this.unpackTensor(n):n},t.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){this.disposed||(this.textureManager.dispose(),null!=this.canvas&&null!=this.canvas.remove?this.canvas.remove():this.canvas=null,null!=this.fromPixels2DContext&&null!=this.fromPixels2DContext.canvas.remove&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)},t.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Pe(function(){var e=h.getBool("DEBUG");h.set("DEBUG",!1);var n=t.abs(bn(1e-8)).dataSync()[0];return h.set("DEBUG",e),n>0?32:16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},t.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,o=n.values,a=n.texture,s=n.usage,u=n.isPacked;if(null==a){var c,l=null!=this.activeTimers;l&&(c=performance.now());var f=n.texShape;if(null==f&&(f=ve(r,u),n.texShape=f),null!=o){var d=ge(r),h=void 0,p=f[1],m=f[0],g=o instanceof Uint8Array;u?(p=(e=Ji(f[0],f[1]))[0],h=new function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=_i(),i=e[0],o=e[1];this.outputShape=t;var a="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;a+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n    \n              flatIndex /= 4;\n              r = flatIndex / "+o+";\n              c = imod(flatIndex, "+o+");\n              uv = (vec2(c, r) + halfCR) / vec2("+o+".0, "+i+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Si(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n        \n        "+a+"\n\n        "+r.output+" = "+s+";\n      }\n    "}(d,[m=e[1],p],g)):h=new function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=_i(),i=e[0],o=e[1];this.outputShape=t;var a="result";n&&(a="floor(result * 255. + 0.5)"),this.userCode="\n      "+Si(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex /= 4;\n        int r = flatIndex / "+o+";\n        int c = imod(flatIndex, "+o+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+o+".0, "+i+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+a+", 0., 0., 0.);\n      }\n    "}(d,[m,p],g);var v=this.makeTensorHandle([m,p],i);this.texData.get(v.dataId).usage=g?Vi.PIXELS:Vi.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(v.dataId),p,m,o);var b=this.makeTensorHandle(h.outputShape,v.dtype);b.size=S(h.outputShape),this.texData.get(b.dataId).isPacked=u,this.compileAndRun(h,[v],b);var y=this.texData.get(b.dataId);n.texture=y.texture,n.texShape=y.texShape,n.isPacked=y.isPacked,n.usage=y.usage,this.disposeData(v.dataId),this.texData.delete(b.dataId),n.values=null,l&&(this.uploadWaitMs+=performance.now()-c)}else{var w=this.acquireTexture(f,s,i,u);n.texture=w}}},t.prototype.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.dtype;return this.releaseGPUData(t),null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){for(var n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length),r=0;r<n.length;++r)n[r]=Math.round(t[r]);return n}throw new Error("Unknown dtype "+e)}(e,r)),n.values},t.prototype.acquireTexture=function(t,e,n,r){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var i=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+i+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(t,e,r)},t.prototype.computeBytes=function(t,e){return t[0]*t[1]*U(e)},t}();Dt()&&It.registerBackend("webgl",function(){return new zo},2);var Lo=dn({abs_:function(t){var e=Qe(t,"x","abs");return"complex64"===e.dtype?It.runKernel(function(t){return t.complexAbs(e)},{$x:e}):It.runKernel(function(t,n){var r=t.abs(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.toFloat().step(-1))}}})}}),Bo=dn({acos_:function(t){var e=Qe(t,"x","acos");return It.runKernel(function(t,n){var r=t.acos(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.divStrict(bn(1).sub(n.toFloat().square()).sqrt()).neg()}}})}}),Uo=dn({acosh_:function(t){var e=Qe(t,"x","acosh");return It.runKernel(function(t,n){var r=t.acosh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.divStrict(n.toFloat().square().sub(1).sqrt())}}})}}),Wo=dn({asin_:function(t){var e=Qe(t,"x","asin");return It.runKernel(function(t,n){var r=t.asin(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.divStrict(bn(1).sub(n.toFloat().square()).sqrt())}}})}}),qo=dn({asinh_:function(t){var e=Qe(t,"x","asinh");return It.runKernel(function(t,n){var r=t.asinh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.divStrict(bn(1).add(n.toFloat().square()).sqrt())}}})}}),Vo=dn({atan_:function(t){var e=Qe(t,"x","atan");return It.runKernel(function(t,n){var r=t.atan(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.toFloat().square().add(1))}}})}}),Ho=dn({atanh_:function(t){var e=Qe(t,"x","atanh");return It.runKernel(function(t,n){var r=t.atanh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(bn(1).sub(n.toFloat().square()))}}})}}),$o=dn({ceil_:function(t){var e=Qe(t,"x","ceil");return It.runKernel(function(t){return t.ceil(e)},{$x:e},function(t){return{$x:function(){return Tn(t)}}})}}),Go=dn({clipByValue_:function(t,e,n){var r=Qe(t,"x","clipByValue");return w(e<=n,function(){return"Error in clip: min ("+e+") must be less than or equal to max ("+n+")."}),It.runKernel(function(t,i){var o=t.clip(r,e,n);return i([r]),o},{$x:r},function(t,r){var i=r[0];return{$x:function(){return t.where(i.greaterEqual(e).logicalAnd(i.lessEqual(n)),Tn(t))}}})}}),Ko=dn({cos_:function(t){var e=Qe(t,"x","cos");return It.runKernel(function(t,n){var r=t.cos(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return n.toFloat().sin().neg().mul(t)}}})}}),Xo=dn({cosh_:function(t){var e=Qe(t,"x","cosh");return It.runKernel(function(t,n){var r=t.cosh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return n.toFloat().sinh().mulStrict(t)}}})}}),Yo=dn({erf_:function(t){var e=Qe(t,"x","erf");return w("int32"===e.dtype||"float32"===e.dtype,function(){return"Input dtype must be `int32` or `float32`."}),"int32"===e.dtype&&(e=e.toFloat()),It.runKernel(function(t,n){var r=t.erf(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.square().neg().exp().mul(2/Math.sqrt(Math.PI)))}}})}}),Jo=dn({exp_:function(t){var e=Qe(t,"x","exp");return It.runKernel(function(t,n){var r=t.exp(e);return n([r]),r},{$x:e},function(t,e){return{$x:function(){return t.mulStrict(e[0])}}})}}),Zo=dn({expm1_:function(t){var e=Qe(t,"x","expm1");return It.runKernel(function(t,n){var r=t.expm1(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.exp())}}})}}),Qo=dn({floor_:function(t){var e=Qe(t,"x","floor");return It.runKernel(function(t){return t.floor(e)},{$x:e},function(t){return{$x:function(){return Tn(t)}}})}}),ta=dn({log_:function(t){var e=Qe(t,"x","log");return It.runKernel(function(t,n){var r=t.log(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.toFloat())}}})}}),ea=dn({log1p_:function(t){var e=Qe(t,"x","log1p");return It.runKernel(function(t,n){var r=t.log1p(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.add(1))}}})}}),na=dn({logSigmoid_:function(t){var e=Qe(t,"x","logSigmoid");return It.runKernel(function(t,n){var r=t.softplus(e.neg()).neg();return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.neg().sigmoid())}}})}}),ra=dn({neg_:function(t){var e=Qe(t,"x","neg");return It.runKernel(function(t){return t.neg(e)},{$x:e},function(t){return{$x:function(){return 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It.runKernel(function(t,n){var r=t.softplus(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.sigmoid())}}})}}),ma=dn({sqrt_:function(t){var e=Qe(t,"x","sqrt");return It.runKernel(function(t,n){var r=t.sqrt(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.toFloat().sqrt().mul(2))}}})}}),ga=dn({square_:function(t){var e=Qe(t,"x","square");return It.runKernel(function(t,n){return n([e]),t.square(e)},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.toFloat().mul(2))}}})}}),va=dn({step_:function(t,e){void 0===e&&(e=0);var n=Qe(t,"x","step");return It.runKernel(function(t){return t.step(n,e)},{$x:n},function(t){return{$x:function(){return Tn(t)}}})}}),ba=dn({tan_:function(t){var e=Qe(t,"x","tan");return It.runKernel(function(t,n){var r=t.tan(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.cos().square())}}})}}),ya=dn({tanh_:function(t){var e=Qe(t,"x","tanh");return It.runKernel(function(t,n){var r=t.tanh(e);return n([r]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return bn(1).sub(n.square()).mulStrict(t)}}})}});function wa(t,e,n,r,i,o){var a,s,u=Qe(t,"x","batchNorm"),c=Qe(e,"mean","batchNorm"),l=Qe(n,"variance","batchNorm");return null!=i&&(a=Qe(i,"scale","batchNorm")),null!=r&&(s=Qe(r,"offset","batchNorm")),w(2===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),w(2===c.rank||1===c.rank,function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+c.rank+"."}),w(2===l.rank||1===l.rank,function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+l.rank+"."}),null!=a&&w(2===a.rank||1===a.rank,function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+a.rank+"."}),null!=s&&w(2===s.rank||1===s.rank,function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."}),ka(u,c,l,s,a,o)}function xa(t,e,n,r,i,o){var a,s,u=Qe(t,"x","batchNorm"),c=Qe(e,"mean","batchNorm"),l=Qe(n,"variance","batchNorm");return null!=i&&(a=Qe(i,"scale","batchNorm")),null!=r&&(s=Qe(r,"offset","batchNorm")),w(3===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),w(3===c.rank||1===c.rank,function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+c.rank+"."}),w(3===l.rank||1===l.rank,function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+l.rank+"."}),null!=a&&w(3===a.rank||1===a.rank,function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+a.rank+"."}),null!=s&&w(3===s.rank||1===s.rank,function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."}),ka(u,c,l,s,a,o)}function _a(t,e,n,r,i,o){var a,s,u=Qe(t,"x","batchNorm"),c=Qe(e,"mean","batchNorm"),l=Qe(n,"variance","batchNorm");return null!=i&&(a=Qe(i,"scale","batchNorm")),null!=r&&(s=Qe(r,"offset","batchNorm")),w(4===u.rank,function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."}),w(4===c.rank||1===c.rank,function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+c.rank+"."}),w(4===l.rank||1===l.rank,function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+l.rank+"."}),null!=a&&w(4===a.rank||1===a.rank,function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+a.rank+"."}),null!=s&&w(4===s.rank||1===s.rank,function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."}),ka(u,c,l,s,a,o)}function ka(t,e,n,r,i,o){null==o&&(o=.001);var a,s,u,c=Qe(t,"x","batchNorm"),l=Qe(e,"mean","batchNorm"),f=Qe(n,"variance","batchNorm");return null!=i&&(a=Qe(i,"scale","batchNorm")),null!=r&&(s=Qe(r,"offset","batchNorm")),w(l.rank===f.rank,function(){return"Batch normalization gradient 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t=m.mul(bn(-1)).mul(p);return 1===i.rank&&(t=t.sum(l)),t.reshape(i.shape)},$variance:function(){var t=g.mul(h).mul(p);return 1===i.rank&&(t=t.sum(l)),t.reshape(i.shape)},$scale:function(){var e=h.mul(m),n=t.mul(e);return 1===i.rank&&(n=n.sum(l)),n.reshape(i.shape)},$offset:function(){var e=t;return 1===i.rank&&(e=e.sum(l)),e.reshape(i.shape)}}}).reshape(c.shape)}function Sa(t){return null==t?null:0===t.rank?t.as1D():1===t.rank?t:2===t.rank?t.as4D(1,1,t.shape[0],t.shape[1]):3===t.rank?t.as4D(1,t.shape[0],t.shape[1],t.shape[2]):t}function Ea(){De("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon")}var Oa=dn({batchNormalization2d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ea(),wa(t,e,n,o,i,r)}}),Aa=dn({batchNormalization3d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ea(),xa(t,e,n,o,i,r)}}),Ca=dn({batchNormalization4d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ea(),_a(t,e,n,o,i,r)}}),Ma=dn({batchNormalization_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ea(),ka(t,e,n,o,i,r)}}),Na=dn({batchNorm_:ka}),Ta=dn({batchNorm2d_:wa}),Ia=dn({batchNorm3d_:xa}),Da=dn({batchNorm4d_:_a});function ja(t,e,n,r,i,o){w(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var a=t,s=e,u=!1;3===e.rank&&(u=!0,s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]),a=[1,t[0],t[1],t[2]]);var c=a[3],l=s.shape[3];w(4===a.length,function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+a.length+"."}),w(4===s.rank,function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank}),w(4===n.rank,function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}),w(c===n.shape[2],function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."}),w(l===n.shape[3],function(){return"Error in conv2dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[3]+"."}),null!=o&&w(O(i),function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var f=Jr(a,n.shape,r,1,i,o),d=It.runKernel(function(t,e){var r=t.conv2dDerInput(s,n,f);return e([n,s]),r},{dy4D:s,filter:n},function(t,e){var n=e[0],a=e[1];return{dy4D:function(){return za(t,n,r,i,"NHWC",1,o)},filter:function(){return Ba(t,a,n.shape,r,i,o)}}});return u?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function Ra(t,e,n,r,i,o){var a=t;3===t.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var s=e;3===s.rank&&(s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),w(4===a.rank,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+a.shape+"."}),w(4===s.rank,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."}),w(4===n.length,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}),w(a.shape[3]===n[2],function(){return"Error in conv2dDerFilter: depth of input "+a.shape[3]+") must match input depth in filter ("+n[2]+"."}),w(s.shape[3]===n[3],function(){return"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+")."}),null!=o&&w(O(i),function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var u=Jr(a.shape,n,r,1,i,o);return It.runKernel(function(t){return t.conv2dDerFilter(a,s,u)},{x4D:a,dy4D:s})}function Fa(t){var e=function(t){return"number"==typeof t?[t,t,t]:2===t.length?[t[0],t[1],1]:t}(t),n=e[0],r=e[1],i=e[2];return 1===n&&1===r&&1===i}var Pa=dn({conv1d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NWC"),void 0===o&&(o=1);var s=Qe(t,"x","conv1d"),u=Qe(e,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=s.as3D(1,s.shape[0],s.shape[1])),w(3===c.rank,function(){return"Error in conv1d: input must be rank 3, but got rank "+c.rank+"."}),w(3===u.rank,function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."}),null!=a&&w(O(r),function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."}),w(c.shape[2]===u.shape[1],function(){return"Error in conv1d: depth of input ("+c.shape[2]+") must match input depth for filter "+u.shape[1]+"."}),w(oi(n,o),function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+o+"'"}),w("NWC"===i,function(){return"Error in conv1d: got dataFormat of "+i+" but only NWC is currently supported."});var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=c.as4D(c.shape[0],1,c.shape[1],c.shape[2]),h=za(d,f,[1,n],r,"NHWC",[1,o],a);return l?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),za=dn({conv2d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NHWC"),void 0===o&&(o=[1,1]);var s=Qe(t,"x","conv2d"),u=Qe(e,"filter","conv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),w(4===c.rank,function(){return"Error in conv2d: input must be rank 4, but got rank "+c.rank+"."}),w(4===u.rank,function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."}),null!=a&&w(O(r),function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."}),w(c.shape[3]===u.shape[2],function(){return"Error in conv2d: depth of input ("+c.shape[3]+") must match input depth for filter "+u.shape[2]+"."}),w(oi(n,o),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),w("NHWC"===i,function(){return"Error in conv2d: got dataFormat of "+i+" but only NHWC is currently supported."});var f=Jr(c.shape,u.shape,n,o,r,a),d=It.runKernel(function(t,e){var n=t.conv2d(c,u,f);return e([u,c]),n},{x:c,$filter:u},function(t,e){var i=e,a=i[0],s=i[1];return w(ii(o),function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. 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Got strides "+n+" and dilations '"+o+"'"}),w("NDHWC"===i,function(){return"Error in conv3d: got dataFormat of "+i+" but only NDHWC is currently supported."});var l=Zr(u.shape,s.shape,n,o,r),f=It.runKernel(function(t,e){var n=t.conv3d(u,s,l);return e([u,s]),n},{x:u,$filter:s},function(t,e){w(Fa(o),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+o+"'"});var i=e[0],a=e[1];return{x:function(){return function(t,e,n,r,i){w(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var o=t,a=e,s=!1;4===e.rank&&(s=!0,a=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]),o=[1,t[0],t[1],t[2],t[3]]);var u=o[4],c=a.shape[4];w(5===o.length,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+o.length+"."}),w(5===a.rank,function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+a.rank}),w(5===n.rank,function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank}),w(u===n.shape[3],function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."}),w(c===n.shape[4],function(){return"Error in conv3dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[4]+"."});var l=Zr(o,n.shape,r,1,i),f=It.runKernel(function(t){return t.conv3dDerInput(a,n,l)},{dy5D:a});return s?f.as4D(f.shape[1],f.shape[2],f.shape[3],f.shape[4]):f}(i.shape,t,a,n,r)},$filter:function(){return function(t,e,n,r,i){var o=t;4===t.rank&&(o=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var a=e;4===a.rank&&(a=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3])),w(5===o.rank,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+o.shape+"."}),w(5===a.rank,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+a.shape+"."}),w(5===n.length,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."}),w(o.shape[4]===n[3],function(){return"Error in conv3dDerFilter: depth of input "+o.shape[4]+") must match input depth in filter ("+n[3]+"."}),w(a.shape[4]===n[4],function(){return"Error in conv3dDerFilter: depth of dy ("+a.shape[4]+") must match output depth for filter ("+n[4]+")."});var s=Zr(o.shape,n,r,1,i);return It.runKernel(function(t){return t.conv3dDerFilter(o,a,s)},{x5D:o,dy5D:a})}(i,t,a.shape,n,r)}}});return c?f.as4D(f.shape[1],f.shape[2],f.shape[3],f.shape[4]):f}}),Ba=dn({conv2dDerFilter_:Ra}),Ua=dn({depthwiseConv2d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NHWC"),void 0===o&&(o=[1,1]);var s=Qe(t,"x","depthwiseConv2d"),u=Qe(e,"filter","depthwiseConv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),w(4===c.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+c.rank+"."}),w(4===u.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}),w(c.shape[3]===u.shape[2],function(){return"Error in depthwiseConv2d: number of input channels ("+c.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."}),null==o&&(o=[1,1]),w(oi(n,o),function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. 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Got dilations '"+o+"'"});var n=e[0],r=e[1];return{x:function(){return function(t,e,n,r){var i=e,o=!1;3===e.rank&&(o=!0,i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=It.runKernel(function(t){return t.depthwiseConv2DDerInput(i,n,r)},{dy4D:i});return o?a.as3D(a.shape[1],a.shape[2],a.shape[3]):a}(n.shape,t,r,f)},$filter:function(){return function(t,e,n,r){var i=t;3===t.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=e;return 3===o.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),It.runKernel(function(t){return t.depthwiseConv2DDerFilter(i,o,r)},{x4D:i,dy4D:o})}(n,t,r.shape,f)}}});return l?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}}),Wa=dn({separableConv2d_:function(t,e,n,r,i,o,a){void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC");var s=Qe(t,"x","separableConv2d"),u=Qe(e,"depthwiseFilter","separableConv2d"),c=Qe(n,"pointwiseFilter","separableConv2d"),l=s,f=!1;if(3===s.rank&&(f=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===a)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");w(4===l.rank,function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."}),w(4===u.rank,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."}),w(4===c.rank,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."}),w(1===c.shape[0],function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."}),w(1===c.shape[1],function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."});var d=u.shape[2],h=u.shape[3];w(c.shape[2]===d*h,function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+d*h+", but got "+c.shape[2]+"."});var p=Ua(l,u,r,i,a,o),m=za(p,c,1,"valid",a);return f?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),qa=dn({conv2dTranspose_:function(t,e,n,r,i,o){return ja(n,Qe(t,"x","conv2dTranspose"),Qe(e,"filter","conv2dTranspose"),r,i,o)}}),Va=dn({matMul_:function(t,e,n,r){var i;void 0===n&&(n=!1),void 0===r&&(r=!1);var o=Qe(t,"a","matMul"),a=Qe(e,"b","matMul");i=Et(o,a),o=i[0],a=i[1];var s=n?o.shape[o.rank-2]:o.shape[o.rank-1],u=r?a.shape[a.rank-1]:a.shape[a.rank-2],c=n?o.shape[o.rank-1]:o.shape[o.rank-2],l=r?a.shape[a.rank-2]:a.shape[a.rank-1],f=o.shape.slice(0,-2),d=a.shape.slice(0,-2),h=S(f),p=S(d);w(o.rank>=2&&a.rank>=2&&o.rank===a.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+o.rank+" and "+a.rank+"."}),w(E(f,d),function(){return"Error in matMul: outer dimensions ("+f+") and ("+d+") of Tensors with shapes "+o.shape+" and "+a.shape+" must match."}),w(s===u,function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+o.shape+" and "+a.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var m=o.shape.slice(0,-2).concat([c,l]),g=n?o.as3D(h,s,c):o.as3D(h,c,s),v=r?a.as3D(p,l,u):a.as3D(p,u,l);return It.runKernel(function(t,e){var i=t.batchMatMul(g,v,n,r);return e([g,v]),i},{$a:g,$b:v},function(t,e){var i=e,o=i[0],a=i[1];return n||r?!n&&r?{$a:function(){return t.matMul(a,!1,!1)},$b:function(){return t.matMul(o,!0,!1)}}:n&&!r?{$a:function(){return a.matMul(t,!1,!0)},$b:function(){return o.matMul(t,!1,!1)}}:{$a:function(){return a.matMul(t,!0,!0)},$b:function(){return t.matMul(o,!0,!0)}}:{$a:function(){return t.matMul(a,!1,!0)},$b:function(){return o.matMul(t,!0,!1)}}}).reshape(m)}}),Ha=dn({dot_:function(t,e){var n=Qe(t,"t1","dot"),r=Qe(e,"t2","dot");w(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."});var i=1===n.rank?n.size:n.shape[1],o=1===r.rank?r.size:r.shape[0];return w(i===o,function(){return"Error in dot: inner dimensions of inputs must match, but got "+i+" and "+o+"."}),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),$a=dn({outerProduct_:function(t,e){var n=Qe(t,"v1","outerProduct"),r=Qe(e,"v2","outerProduct");return w(1===n.rank&&1===r.rank,function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}),n.as2D(-1,1).matMul(r.as2D(1,-1))}}),Ga=dn({reverse_:function(t,e){var n=Qe(t,"x","reverse");if(0===n.rank)return n.clone();var r=I(e,n.shape);return It.runKernel(function(t){return t.reverse(n,r)},{$x:n},function(t){return{$x:function(){return t.reverse(r)}}}).reshapeAs(n)}}),Ka=dn({reverse1d_:function(t){var e=Qe(t,"x","reverse");return w(1===e.rank,function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."}),Ga(e,0)}}),Xa=dn({reverse2d_:function(t,e){var n=Qe(t,"x","reverse");return w(2===n.rank,function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."}),Ga(n,e)}}),Ya=dn({reverse3d_:function(t,e){var n=Qe(t,"x","reverse");return w(3===n.rank,function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."}),Ga(n,e)}}),Ja=dn({reverse4d_:function(t,e){var n=Qe(t,"x","reverse");return w(4===n.rank,function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."}),Ga(n,e)}});function Za(t,e,n,r,i,o){var a=Qe(t,"x","maxPool"),s=a,u=!1;3===a.rank&&(u=!0,s=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),null==r&&(r=[1,1]),w(4===s.rank,function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."}),w(oi(n,r),function(){return"Error in maxPool: Either strides or dilations must be 1. 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t.slice(o,r,i)},{$x:o},function(t){for(var e=[],n=0;n<t.rank;n++)e.push([r[n],a[n]-r[n]-i[n]]);return{$x:function(){return t.pad(e)}}})}}),is=dn({slice1d_:function(t,e,n){var r=Qe(t,"x","slice1d");return w(1===r.rank,function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"}),rs(r,[e],[n])}}),os=dn({slice2d_:function(t,e,n){var r=Qe(t,"x","slice2d");return w(2===r.rank,function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"}),rs(r,e,n)}}),as=dn({slice3d_:function(t,e,n){var r=Qe(t,"x","slice3d");return w(3===r.rank,function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"}),rs(r,e,n)}}),ss=dn({slice4d_:function(t,e,n){var r=Qe(t,"x","slice4d");return w(4===r.rank,function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"}),rs(r,e,n)}});function us(t,e,n,r,i){return e.rank<n.rank&&(e=e.reshape(on(e.shape,r))),t.rank<n.rank&&(t=t.reshape(on(t.shape,r))),{$x:function(){var 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o=t.unsortedSegmentSum(r,i,n);return e([i]),o},{$x:r},function(t,e){var n=e[0];return{$x:function(){return function(t,e){for(var n=Ls(e,Tn(e)),r=mu(t,n),i=ks(e,bn(0,"int32")),o=r.rank-i.rank,a=0;a<o;++a)i=nr(i,a+1);i=Qs(i,En(r.shape,"bool"));var s=Tn(r);return ru(i,r,s)}(t,n)}}})}}),vu=dn({basicLSTMCell_:function(t,e,n,r,i,o){var a=Qe(t,"forgetBias","basicLSTMCell"),s=Qe(e,"lstmKernel","basicLSTMCell"),u=Qe(n,"lstmBias","basicLSTMCell"),c=Qe(r,"data","basicLSTMCell"),l=Qe(i,"c","basicLSTMCell"),f=Qe(o,"h","basicLSTMCell"),d=c.concat(f,1).matMul(s).add(u),h=d.shape[0],p=d.shape[1]/4,m=[h,p],g=d.slice([0,0],m),v=d.slice([0,p],m),b=d.slice([0,2*p],m),y=d.slice([0,3*p],m),w=g.sigmoid().mulStrict(v.tanh()).addStrict(l.mulStrict(a.add(b).sigmoid()));return[w,w.tanh().mulStrict(y.sigmoid())]}}),bu=dn({multiRNNCell_:function(t,e,n,r){for(var i=Qe(e,"data","multiRNNCell"),o=tn(n,"c","multiRNNCell"),a=tn(r,"h","multiRNNCell"),s=i,u=[],c=0;c<t.length;c++){var l=t[c](s,o[c],a[c]);u.push(l[0]),u.push(l[1]),s=l[1]}var f=[],d=[];for(c=0;c<u.length;c+=2)f.push(u[c]),d.push(u[c+1]);return[f,d]}}),yu=dn({movingAverage_:function(t,e,n,r,i){void 0===i&&(i=!0);var o=Qe(t,"v","movingAverage"),a=Qe(e,"x","movingAverage"),s=Qe(n,"decay","movingAverage");Ot(o,a),w(E(o.shape,a.shape),function(){return"Shape mismatch in v and x"});var u=bn(1),c=u.sub(s),l=a.sub(o).mul(c);if(i){w(null!=r,function(){return"When using zeroDebias: true, step is required."});var f=Qe(r,"step","movingAverage");l=l.div(u.sub(Gs(s,f)))}return o.add(l)}}),wu=dn({stridedSlice_:function(t,e,n,r,i,o,a,s,u){if(void 0===i&&(i=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==a)throw new Error("ellipsis mask is not yet supported");if(0!==s)throw new Error("new axis mask is not yet supported");var c=Qe(t,"x","stridedSlice");if(r.every(function(t){return 1===t})){var l=Tr(c.shape,e,n,r,i,o,a,s,u),f=l[0],d=l[1],h=l[2],p=d.filter(function(t,e){return-1===h.indexOf(e)});return rs(c,f,d).reshape(p)}return It.runKernel(function(t){return t.stridedSlice(c,e,n,r,i,o,a,s,u)},{$x:c})}}),xu=dn({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=Qe(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var i=r.shape[r.shape.length-1];if(e>i)throw new Error("'k' passed to topk() must be <= the last dimension ("+i+") but got "+e);var o=It.runKernel(function(t){return t.topk(r,e,n)},{$x:r});return{values:o[0],indices:o[1]}}}),_u=dn({scatterND_:function(t,e,n){var r=Qe(t,"indices","scatterND","int32"),i=Qe(e,"updates","scatterND");return function(t,e,n){if(e.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher, but the rank was "+e.rank+".");if(t.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher, but the rank was 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e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return It.runKernel(function(t){return t.ifft(r)},{input:t}).reshape(t.shape)}}),Eu=dn({rfft_:function(t,e){w("float32"===t.dtype,function(){return"The dtype for rfft() must be real value but got "+t.dtype});var n,r=t.shape[t.shape.length-1],i=t.size/r;if(null!=e&&e<r){var o=t.shape.map(function(t){return 0}),a=t.shape.map(function(t){return t});a[t.shape.length-1]=e,n=t.slice(o,a),r=e}else if(null!=e&&e>r){var s=t.shape.map(function(t){return t});s[t.shape.length-1]=e-r,n=t.concat(On(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),c=hn(n,u).as2D(i,r),l=ku(c),f=Math.floor(r/2)+1,d=pn(l),h=mn(l),p=d.split([f,r-f],d.shape.length-1),m=h.split([f,r-f],h.shape.length-1),g=n.shape.slice();return g[n.shape.length-1]=f,hn(p[0],m[0]).reshape(g)}}),Ou=dn({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),i=Su(r);return pn(i)}var 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o=0,a=[];o+e<=t.size;)a.push(rs(t,o,e)),o+=n;if(r){var s=o+e-t.size,u=In([rs(t,o,e-s),An([s],i)]);a.push(u)}return 0===a.length?wn([],[0,e]):In(a).as2D(a.length,e)}}),Fu=Object.freeze({hannWindow:Du,hammingWindow:ju,frame:Ru});!function(t){t[t.NONE=0]="NONE",t[t.MEAN=1]="MEAN",t[t.SUM=2]="SUM",t[t.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"}(Iu||(Iu={}));var Pu=dn({absoluteDifference_:function(t,e,n,r){void 0===r&&(r=Iu.SUM_BY_NONZERO_WEIGHTS);var i=Qe(t,"labels","absoluteDifference"),o=Qe(e,"predictions","absoluteDifference"),a=null;null!=n&&(a=Qe(n,"weights","absoluteDifference")),x(i.shape,o.shape,"Error in absoluteDifference: ");var s=i.sub(o).abs();return zu(s,a,r)}}),zu=dn({computeWeightedLoss_:function(t,e,n){void 0===n&&(n=Iu.SUM_BY_NONZERO_WEIGHTS);var r=Qe(t,"losses","computeWeightedLoss"),i=null;null!=e&&(i=Qe(e,"weights","computeWeightedLoss"));var o=null==i?r:r.mul(i);if(n===Iu.NONE)return o;if(n===Iu.SUM)return o.sum();if(n===Iu.MEAN){if(null==i)return o.mean();var a=r.size/i.size,s=o.sum().div(i.sum());return a>1?s.div(bn(a)):s}if(n===Iu.SUM_BY_NONZERO_WEIGHTS){if(null==i)return o.sum().div(bn(r.size));var u=i.mul(En(r.shape)).notEqual(bn(0)).sum().toFloat();return o.sum().div(u)}throw Error("Unknown reduction: "+n)}}),Lu=dn({cosineDistance_:function(t,e,n,r,i){void 0===i&&(i=Iu.SUM_BY_NONZERO_WEIGHTS);var o=Qe(t,"labels","cosineDistance"),a=Qe(e,"predictions","cosineDistance"),s=null;null!=r&&(s=Qe(r,"weights","cosineDistance")),x(o.shape,a.shape,"Error in cosineDistance: ");var u=bn(1).sub(o.mul(a).sum(n,!0));return zu(u,s,i)}}),Bu=dn({hingeLoss_:function(t,e,n,r){void 0===r&&(r=Iu.SUM_BY_NONZERO_WEIGHTS);var i=Qe(t,"labels","hingeLoss"),o=Qe(e,"predictions","hingeLoss"),a=null;null!=n&&(a=Qe(n,"weights","hingeLoss")),x(i.shape,o.shape,"Error in hingeLoss: ");var s=bn(1);i=bn(2).mul(i).sub(s);var u=s.sub(i.mul(o)).relu();return zu(u,a,r)}}),Uu=dn({huberLoss_:function(t,e,n,r,i){void 0===r&&(r=1),void 0===i&&(i=Iu.SUM_BY_NONZERO_WEIGHTS);var o=Qe(t,"labels","huberLoss"),a=Qe(e,"predictions","huberLoss"),s=null;null!=n&&(s=Qe(n,"weights","huberLoss")),x(o.shape,a.shape,"Error in huberLoss: ");var u=bn(r),c=a.sub(o).abs(),l=Us(c,u),f=c.sub(l),d=bn(.5).mul(l.square()).add(u.mul(f));return zu(d,s,i)}}),Wu=dn({logLoss_:function(t,e,n,r,i){void 0===r&&(r=1e-7),void 0===i&&(i=Iu.SUM_BY_NONZERO_WEIGHTS);var o=Qe(t,"labels","logLoss"),a=Qe(e,"predictions","logLoss"),s=null;null!=n&&(s=Qe(n,"weights","logLoss")),x(o.shape,a.shape,"Error in logLoss: ");var u=bn(1),c=bn(r),l=o.mul(a.add(c).log()).neg().sub(u.sub(o).mul(u.sub(a).add(c).log()));return zu(l,s,i)}}),qu=dn({meanSquaredError_:function(t,e,n,r){void 0===r&&(r=Iu.SUM_BY_NONZERO_WEIGHTS);var i=Qe(t,"labels","meanSquaredError"),o=Qe(e,"predictions","meanSquaredError"),a=null;null!=n&&(a=Qe(n,"weights","meanSquaredError")),x(i.shape,o.shape,"Error in meanSquaredError: ");var s=i.squaredDifference(o);return zu(s,a,r)}}),Vu=dn({sigmoidCrossEntropy_:function(t,e,n,r,i){void 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u=bn(r),c=bn(1),l=bn(o.shape[1]);o=o.mul(c.sub(u)).add(u.div(l))}var f=function(t,e,n){if(void 0===n&&(n=-1),-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. 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a=Qe(t,"image","cropAndResize","float32"),s=Qe(e,"boxes","cropAndResize","float32"),u=Qe(n,"boxInd","cropAndResize","int32");i=i||"bilinear",o=o||0;var c=s.shape[0];return w(4===a.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+a.rank+"."}),w(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape "+s.shape+"."}),w(1===u.rank&&u.shape[0]===c,function(){return"Error in cropAndResize: boxInd must be have size ["+c+"] but had shape "+s.shape+"."}),w(2===r.length,function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."}),w(r[0]>=1&&r[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+r}),w("bilinear"===i||"nearest"===i,function(){return"method must be bilinear or nearest, but was "+i}),It.runKernel(function(t,e){return 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r=rn(t.shape,n),i=r[0],o=r[1],a=On(i,"int32"),s=S(o),u=this.readSync(a.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var f=l*s,d=c[f],h=0,p=0;p<s;++p){var m=c[f+p];m>d&&(d=m,h=p)}u[l]=h}return a},t.prototype.cumsum=function(t,e,n,r){if(this.assertNotComplex(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var i=kt(t.dtype,"int32"),o=On(t.shape,i),a=this.readSync(o.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var f=0;f<u;f++){var d=c(l,f);if(0===f)a[d]=n?0:s[d];else{var h=c(l,f-1);a[d]=n?s[h]+a[h]:s[d]+a[h]}}return o},t.prototype.equal=function(t,e){return this.assertNotComplex([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},t.prototype.notEqual=function(t,e){return this.assertNotComplex([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return 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n=rn(t.shape,e),r=n[0],i=n[1],o=On(r,t.dtype),a=S(i),s=this.readSync(o.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*a,f=u[l],d=0;d<a;++d){var h=u[l+d];f=f&&h}s[c]=f}return o},t.prototype.any=function(t,e){this.assertNotComplex(t,"any"),an("any",e,t.rank);for(var n=rn(t.shape,e),r=n[0],i=n[1],o=On(r,t.dtype),a=S(i),s=this.readSync(o.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*a,f=u[l],d=0;d<a;++d){var h=u[l+d];f=f||h}s[c]=f}return o},t.prototype.squaredDifference=function(t,e){return this.assertNotComplex([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},t.prototype.ceil=function(t){this.assertNotComplex(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return pt.make(t.shape,{values:n})},t.prototype.floor=function(t){this.assertNotComplex(t,"floor");for(var e=this.readSync(t.dataId),n=new 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pt.make(t.shape,{values:n},"bool")},t.prototype.round=function(t){this.assertNotComplex(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=Math.floor(e[r]);e[r]-i<.5?n[r]=Math.floor(e[r]):e[r]-i>.5?n[r]=Math.ceil(e[r]):n[r]=i%2==0?i:i+1}return pt.make(t.shape,{values:n})},t.prototype.exp=function(t){this.assertNotComplex(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return pt.make(t.shape,{values:n})},t.prototype.expm1=function(t){this.assertNotComplex(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return pt.make(t.shape,{values:n})},t.prototype.log=function(t){this.assertNotComplex(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log(i)}return pt.make(t.shape,{values:n})},t.prototype.log1p=function(t){this.assertNotComplex(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log1p(i)}return pt.make(t.shape,{values:n})},t.prototype.sqrt=function(t){this.assertNotComplex(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.sqrt(i)}return pt.make(t.shape,{values:n})},t.prototype.rsqrt=function(t){this.assertNotComplex(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=1/Math.sqrt(i)}return pt.make(t.shape,{values:n})},t.prototype.square=function(t){this.assertNotComplex(t,"square");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=i*i}return pt.make(t.shape,{values:n})},t.prototype.reciprocal=function(t){this.assertNotComplex(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return 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pt.make(t.shape,{values:e},"int32")},t.prototype.sigmoid=function(t){this.assertNotComplex(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return pt.make(t.shape,{values:e})},t.prototype.softplus=function(t){this.assertNotComplex(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var o,a=r[i]>-e,s=r[i]<e,u=Math.exp(r[i]);o=s?u:a?r[i]:Math.log(1+u),n[i]=o}return pt.make(t.shape,{values:n})},t.prototype.sin=function(t){this.assertNotComplex(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return pt.make(t.shape,{values:e})},t.prototype.cos=function(t){this.assertNotComplex(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return pt.make(t.shape,{values:e})},t.prototype.tan=function(t){this.assertNotComplex(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return pt.make(t.shape,{values:e})},t.prototype.asin=function(t){this.assertNotComplex(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return pt.make(t.shape,{values:e})},t.prototype.acos=function(t){this.assertNotComplex(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return pt.make(t.shape,{values:e})},t.prototype.atan=function(t){this.assertNotComplex(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return pt.make(t.shape,{values:e})},t.prototype.atan2=function(t,e){return this.assertNotComplex([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},t.prototype.sinh=function(t){this.assertNotComplex(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return pt.make(t.shape,{values:e})},t.prototype.cosh=function(t){this.assertNotComplex(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return pt.make(t.shape,{values:e})},t.prototype.tanh=function(t){this.assertNotComplex(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=A(n[r]);return pt.make(t.shape,{values:e})},t.prototype.asinh=function(t){this.assertNotComplex(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return pt.make(t.shape,{values:e})},t.prototype.acosh=function(t){this.assertNotComplex(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return pt.make(t.shape,{values:e})},t.prototype.atanh=function(t){this.assertNotComplex(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return pt.make(t.shape,{values:e})},t.prototype.erf=function(t){this.assertNotComplex(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var i=n[r],o=1/(1+.3275911*i);e[r]=1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i)}return pt.make(t.shape,{values:e})},t.prototype.step=function(t,e){void 0===e&&(e=0),this.assertNotComplex(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),i=0;i<r.length;++i){var o=r[i];isNaN(o)?n[i]=NaN:n[i]=o>0?1:e}return pt.make(t.shape,{values:n})},t.prototype.conv2d=function(t,e,n){this.assertNotComplex([t,e],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=Xn(n.outShape,t.dtype),l=this.readSync(t.dataId),f=this.readSync(e.dataId),d=c.values,h=0;h<n.batchSize;++h)for(var p=h*t.strides[0],m=h*c.strides[0],g=0;g<n.outHeight;++g)for(var v=m+g*c.strides[1],b=g*n.strideHeight-u,y=0;y<r;y++){var w=b+y*o;if(!(w<0||w>=n.inHeight))for(var x=y*e.strides[0],_=p+w*t.strides[1],k=0;k<n.outWidth;++k)for(var S=v+k*n.outChannels,E=k*n.strideWidth-s,O=0;O<i;O++){var A=E+O*a;if(!(A<0||A>=n.inWidth))for(var C=x+O*e.strides[1],M=_+A*n.inChannels,N=C,T=0;T<n.inChannels;++T){for(var I=l[M+T],D=0;D<n.outChannels;++D)d[S+D]+=I*f[N+D];N+=n.outChannels}}}return c.toTensor()},t.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,i=n.filterHeight,o=n.filterWidth,a=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,f=n.padInfo.top,d=Xn(n.outShape,t.dtype),h=this.readSync(t.dataId),p=this.readSync(e.dataId),m=d.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],b=g*d.strides[0],y=0;y<n.outDepth;++y)for(var w=b+y*d.strides[1],x=y*n.strideDepth-c,_=0;_<r;_++){var k=x+_*a;if(!(k<0||k>=n.inDepth))for(var S=_*e.strides[0],E=v+k*t.strides[1],O=0;O<n.outHeight;++O)for(var A=w+O*d.strides[2],C=O*n.strideHeight-f,M=0;M<i;M++){var N=C+M*s;if(!(N<0||N>=n.inHeight))for(var T=S+M*e.strides[1],I=E+N*t.strides[2],D=0;D<n.outWidth;++D)for(var j=A+D*n.outChannels,R=D*n.strideWidth-l,F=0;F<o;F++){var P=R+F*u;if(!(P<0||P>=n.inWidth))for(var z=T+F*e.strides[2],L=I+P*n.inChannels,B=z,U=0;U<n.inChannels;++U){for(var W=h[L+U],q=0;q<n.outChannels;++q)m[j+q]+=W*p[B+q];B+=n.outChannels}}}}return d.toTensor()},t.prototype.conv2dDerInput=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerInput");for(var r=Xn(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],c=this.readSync(t.dataId),l=t.strides,f=l[0],d=l[1],h=l[2],p=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],b=m[2],y=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,k=n.inHeight,S=n.inWidth,E=n.outChannels,O=n.outHeight,A=n.outWidth,C=n.strideHeight,M=n.strideWidth,N=w-1-n.padInfo.top,T=x-1-n.padInfo.left,I=0;I<y;++I)for(var D=0;D<_;++D)for(var j=0;j<k;++j)for(var R=j-N,F=Math.max(0,Math.ceil(R/C)),P=Math.min(O,(w+R)/C),z=0;z<S;++z){for(var L=z-T,B=Math.max(0,Math.ceil(L/M)),U=Math.min(A,(x+L)/M),W=0,q=F;q<P;++q)for(var V=q*C-R,H=B;H<U;++H)for(var $=f*I+d*q+h*H,G=g*(w-1-V)+v*(x-1-(H*M-L))+b*D,K=0;K<E;++K)W+=c[$+K]*p[G+K];i[a*I+s*j+u*z+D]=W}return r.toTensor()},t.prototype.conv3dDerInput=function(t,e,n){for(var r=Xn(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],c=o[3],l=this.readSync(t.dataId),f=t.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,b=v[0],y=v[1],w=v[2],x=v[3],_=n.batchSize,k=n.filterDepth,S=n.filterHeight,E=n.filterWidth,O=n.inChannels,A=n.inDepth,C=n.inHeight,M=n.inWidth,N=n.outChannels,T=n.outDepth,I=n.outHeight,D=n.outWidth,j=n.strideDepth,R=n.strideHeight,F=n.strideWidth,P=k-1-n.padInfo.front,z=S-1-n.padInfo.top,L=E-1-n.padInfo.left,B=0;B<_;++B)for(var U=0;U<O;++U)for(var W=0;W<A;++W)for(var q=W-P,V=Math.max(0,Math.ceil(q/j)),H=Math.min(T,(k+q)/j),$=0;$<C;++$)for(var G=$-z,K=Math.max(0,Math.ceil(G/R)),X=Math.min(I,(S+G)/R),Y=0;Y<M;++Y){for(var J=Y-L,Z=Math.max(0,Math.ceil(J/F)),Q=Math.min(D,(E+J)/F),tt=0,et=V;et<H;++et)for(var nt=et*j-q,rt=K;rt<X;++rt)for(var it=rt*R-G,ot=Z;ot<Q;++ot)for(var at=d*B+h*et+p*rt+m*ot,st=b*(k-1-nt)+y*(S-1-it)+w*(E-1-(ot*F-J))+x*U,ut=0;ut<N;++ut)tt+=l[at+ut]*g[st+ut];i[a*B+s*W+u*$+c*Y+U]=tt}return r.toTensor()},t.prototype.conv2dDerFilter=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=Xn(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=this.bufferSync(t),f=this.bufferSync(e),d=0;d<o;++d)for(var h=Math.max(0,Math.ceil((c-d)/r)),p=Math.min(n.outHeight,(n.inHeight+c-d)/r),m=0;m<a;++m)for(var g=Math.max(0,Math.ceil((u-m)/i)),v=Math.min(n.outWidth,(n.inWidth+u-m)/i),b=0;b<n.inChannels;++b)for(var y=0;y<n.outChannels;++y){for(var w=0,x=0;x<n.batchSize;++x)for(var _=h;_<p;++_)for(var k=d+_*r-c,S=g;S<v;++S){var E=m+S*i-u;w+=l.get(x,k,E,b)*f.get(x,_,S,y)}s.set(w,d,m,b,y)}return s.toTensor()},t.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,i=n.strideHeight,o=n.strideWidth,a=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=Xn(n.filterShape,"float32"),l=c.values,f=c.strides,d=f[0],h=f[1],p=f[2],m=f[3],g=this.readSync(e.dataId),v=e.strides,b=v[0],y=v[1],w=v[2],x=v[3],_=this.readSync(t.dataId),k=t.strides,S=k[0],E=k[1],O=k[2],A=k[3],C=n.padInfo.front,M=n.padInfo.left,N=n.padInfo.top,T=0;T<a;++T)for(var I=Math.max(0,Math.ceil((C-T)/r)),D=Math.min(n.outDepth,(n.inDepth+C-T)/r),j=T*d,R=0;R<s;++R)for(var F=Math.max(0,Math.ceil((N-R)/i)),P=Math.min(n.outHeight,(n.inHeight+N-R)/i),z=R*h+j,L=0;L<u;++L)for(var B=Math.max(0,Math.ceil((M-L)/o)),U=Math.min(n.outWidth,(n.inWidth+M-L)/o),W=L*p+z,q=0;q<n.inChannels;++q)for(var V=q*m+W,H=0;H<n.outChannels;++H){for(var $=0,G=0;G<n.batchSize;++G)for(var K=G*S,X=G*b,Y=I;Y<D;++Y)for(var J=(T+Y*r-C)*E+K,Z=Y*y+X,Q=F;Q<P;++Q)for(var tt=(R+Q*i-N)*O+J,et=Q*w+Z,nt=B;nt<U;++nt){var rt=nt*x+et;$+=_[(L+nt*o-M)*A+tt+q]*g[rt+H]}l[V+H]=$}return c.toTensor()},t.prototype.depthwiseConv2D=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=Xn(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),h=l.values,p=0;p<n.batchSize;++p)for(var m=p*t.strides[0],g=p*l.strides[0],v=0;v<n.outHeight;++v)for(var b=g+v*l.strides[1],y=v*n.strideHeight-s,w=0;w<r;++w){var x=y+w*o;if(!(x<0||x>=n.inHeight))for(var _=w*e.strides[0],k=m+x*t.strides[1],S=0;S<n.outWidth;++S)for(var E=b+S*l.strides[2],O=S*n.strideWidth-u,A=0;A<i;++A){var C=O+A*a;if(!(C<0||C>=n.inWidth))for(var M=_+A*e.strides[1],N=k+C*n.inChannels,T=E,I=M,D=0;D<n.inChannels;++D){for(var j=f[N+D],R=0;R<c;++R)h[T+R]+=j*d[I+R];T+=c,I+=c}}}return l.toTensor()},t.prototype.depthwiseConv2DDerInput=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerInput");for(var r=Xn(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],c=this.readSync(t.dataId),l=t.strides,f=l[0],d=l[1],h=l[2],p=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],b=m[2],y=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,k=n.inHeight,S=n.inWidth,E=n.outChannels,O=n.outHeight,A=n.outWidth,C=n.strideHeight,M=n.strideWidth,N=w-1-n.padInfo.top,T=x-1-n.padInfo.left,I=E/_,D=0;D<y;++D)for(var j=0;j<_;++j)for(var R=0;R<k;++R)for(var F=R-N,P=Math.max(0,Math.ceil(F/C)),z=Math.min(O,(w+F)/C),L=0;L<S;++L){for(var B=L-T,U=Math.max(0,Math.ceil(B/M)),W=Math.min(A,(x+B)/M),q=0,V=P;V<z;++V)for(var H=V*C-F,$=U;$<W;++$)for(var G=f*D+d*V+h*$,K=g*(w-1-H)+v*(x-1-($*M-B))+b*j,X=0;X<I;++X)q+=c[G+(j*I+X)]*p[K+X];i[a*D+s*R+u*L+j]=q}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=Xn(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,f=this.bufferSync(t),d=this.bufferSync(e),h=0;h<o;++h)for(var p=Math.max(0,Math.ceil((c-h)/r)),m=Math.min(n.outHeight,(n.inHeight+c-h)/r),g=0;g<a;++g)for(var v=Math.max(0,Math.ceil((u-g)/i)),b=Math.min(n.outWidth,(n.inWidth+u-g)/i),y=0;y<n.outChannels;++y){for(var w=Math.trunc(y/l),x=y%l,_=0,k=0;k<n.batchSize;++k)for(var S=p;S<m;++S)for(var E=h+S*r-c,O=v;O<b;++O){var A=g+O*i-u;_+=f.get(k,E,A,w)*d.get(k,S,O,y)}s.set(_,h,g,w,x)}return s.toTensor()},t.prototype.tile=function(t,e){return this.assertNotComplex(t,"tile"),vi(this.bufferSync(t),e)},t.prototype.pad=function(t,e,n){this.assertNotComplex(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),i=e.map(function(t){return t[0]}),o=this.bufferSync(t),a=Xn(r,t.dtype);0!==n&&a.values.fill(n);for(var s=0;s<t.size;s++){var u=o.indexToLoc(s),c=u.map(function(t,e){return t+i[e]});a.set.apply(a,[o.get.apply(o,u)].concat(c))}return a.toTensor()},t.prototype.transpose=function(t,e){this.assertNotComplex(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var i=this.readSync(t.dataId),o=Xn(n,t.dtype),a=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=a.indexToLoc(r),u=new Array(s.length),c=0;c<u.length;c++)u[c]=s[e[c]];var l=o.locToIndex(u);o.values[l]=i[r]}return o.toTensor()},t.prototype.gather=function(t,e,n){this.assertNotComplex([t,e],"gather");var r=t.shape.slice(),i=this.readSync(e.dataId);r[n]=i.length;for(var o=Xn(r,t.dtype),a=this.bufferSync(t),s=0;s<o.size;++s){var u=o.indexToLoc(s),c=u.slice();c[n]=i[u[n]];var l=a.locToIndex(c);o.values[s]=a.values[l]}return o.toTensor()},t.prototype.batchToSpaceND=function(t,e,n){this.assertNotComplex([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=_r(t.shape,e,r),o=kr(i.length,e.length),a=Sr(t.shape,e,r),s=Er(n,e.length),u=Or(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){this.assertNotComplex([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=_r(a.shape,e,r,!1),u=kr(s.length,e.length,!1),c=Sr(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(c)},t.prototype.pool=function(t,e,n){this.assertNotComplex(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,f="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,d=this.readSync(t.dataId),h=Xn(e.outShape,t.dtype),p=h.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],v=e.outShape[3],b=0;b<e.batchSize;++b)for(var y=b*m,w=b*t.strides[0],x=0;x<e.inChannels;++x)for(var _=0;_<e.outHeight;++_)for(var k=_*r-c,S=Math.max(0,k),E=Math.min(e.inHeight,s+k),O=y+_*g,A=0;A<e.outWidth;++A){for(var C=A*i-l,M=Math.max(0,C),N=Math.min(e.inWidth,u+C),T=f,I=0,D=0,j=S;j<E;j+=o){for(var R=w+j*t.strides[1],F=M;F<N;F+=a){var P=d[R+F*t.strides[2]+x];"max"===n&&P>T?T=P:"avg"===n&&(I+=P,D++)}if(isNaN(T))break}p[O+A*v+x]="avg"===n?I/D:T}return h.toTensor()},t.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},t.prototype.maxPoolPositions=function(t,e){for(var n=Xn(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,f=this.bufferSync(t),d=0;d<e.batchSize;++d)for(var h=0;h<e.inChannels;++h)for(var p=0;p<e.outHeight;++p){for(var m=p*r-c,g=m;g<0;)g+=o;for(var v=Math.min(e.inHeight,s+m),b=0;b<e.outWidth;++b){for(var y=b*i-l,w=y;w<0;)w+=a;for(var x=Math.min(e.inWidth,u+y),_=Number.NEGATIVE_INFINITY,k=-1,S=g;S<v;S+=o)for(var E=S-m,O=w;O<x;O+=a){var A=O-y,C=f.get(d,S,O,h);C>_&&(_=C,k=E*u+A)}n.set(k,d,p,b,h)}}return n.toTensor()},t.prototype.maxPoolBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),o=r.strideHeight,a=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,l=r.effectiveFilterWidth,f=l-1-r.padInfo.left,d=c-1-r.padInfo.top,h=Xn(e.shape,"float32"),p=this.bufferSync(i),m=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var b=0;b<r.inHeight;++b)for(var y=0;y<r.inWidth;++y){for(var w=b-d,x=y-f,_=0,k=0;k<c;k+=s){var S=(w+k)/o;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var E=0;E<l;E+=u){var O=(x+E)/a;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var A=c*l-1-p.get(g,S,O,v)===k*l+E?1:0;0!==A&&(_+=m.get(g,S,O,v)*A)}}}h.set(_,g,b,y,v)}return h.toTensor()},t.prototype.avgPoolBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,f=l-1-n.padInfo.left,d=c-1-n.padInfo.top,h=Xn(e.shape,"float32"),p=1/(o*a),m=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var b=0;b<n.inHeight;++b)for(var y=0;y<n.inWidth;++y){for(var w=b-d,x=y-f,_=0,k=0;k<c;k+=s){var S=(w+k)/r;if(!(S<0||S>=n.outHeight||Math.floor(S)!==S))for(var E=0;E<l;E+=u){var O=(x+E)/i;O<0||O>=n.outWidth||Math.floor(O)!==O||(_+=m.get(g,S,O,v))}}h.set(_*p,g,b,y,v)}return h.toTensor()},t.prototype.cast=function(t,e){return ai(t,e,this)},t.prototype.reshape=function(t,e){return si(t,e)},t.prototype.avgPool=function(t,e){return this.assertNotComplex(t,"avgPool"),this.pool(t,e,"avg").toFloat()},t.prototype.resizeBilinear=function(t,e,n,r){this.assertNotComplex(t,"resizeBilinear");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(S([o,e,n,u])),f=[r&&e>1?a-1:a,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=0,p=f[0]/d[0],m=f[1]/d[1],g=0;g<o;g++)for(var v=0;v<e;v++)for(var b=p*v,y=Math.floor(b),w=b-y,x=Math.min(a-1,Math.ceil(b)),_=g*t.strides[0]+y*t.strides[1],k=g*t.strides[0]+x*t.strides[1],E=0;E<n;E++)for(var O=m*E,A=Math.floor(O),C=O-A,M=Math.min(s-1,Math.ceil(O)),N=_+A*t.strides[2],T=k+A*t.strides[2],I=_+ +M*t.strides[2],D=k+M*t.strides[2],j=0;j<u;j++){var R=c[N+j],F=c[T+j],P=R+(c[I+j]-R)*C,z=P+(F+(c[D+j]-F)*C-P)*w;l[h++]=z}return gn(l,[o,e,n,u])},t.prototype.resizeBilinearBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*o*a*s),d=[n&&c>1?o-1:o,n&&l>1?a-1:a],h=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=d[0]/h[0],m=d[1]/h[1],g=this.readSync(t.dataId),v=0,b=0;b<i;b++)for(var y=b*e.strides[0],w=0;w<c;w++)for(var x=w*p,_=Math.floor(x),k=Math.min(Math.ceil(x),o-1),S=y+_*e.strides[1],E=y+k*e.strides[1],O=x-_,A=1-O,C=0;C<l;C++)for(var M=C*m,N=Math.floor(M),T=Math.min(Math.ceil(M),a-1),I=M-N,D=1-I,j=S+N*e.strides[2],R=S+T*e.strides[2],F=E+N*e.strides[2],P=E+T*e.strides[2],z=A*D,L=A*I,B=O*D,U=O*I,W=0;W<s;W++){var q=g[v++];f[j+W]+=q*z,f[R+W]+=q*L,f[F+W]+=q*B,f[P+W]+=q*U}return _n(f,[i,a,o,s],e.dtype)},t.prototype.resizeNearestNeighbor=function(t,e,n,r){this.assertNotComplex(t,"resizeNearestNeighbor");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],c=this.readSync(t.dataId),l=new Float32Array(o*e*n*u),f=[r&&e>1?a-1:a,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],h=f[0]/d[0],p=f[1]/d[1],m=0,g=0;g<o;g++)for(var v=g*t.strides[0],b=0;b<e;b++)for(var y=h*b,w=v+Math.min(a-1,r?Math.round(y):Math.floor(y))*t.strides[1],x=0;x<n;x++)for(var _=p*x,k=w+Math.min(s-1,r?Math.round(_):Math.floor(_))*t.strides[2],S=0;S<u;S++){var E=c[k+S];l[m++]=E}return gn(l,[o,e,n,u],t.dtype)},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],f=new Float32Array(i*o*a*s),d=this.readSync(t.dataId),h=[n&&c>1?o-1:o,n&&l>1?a-1:a],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=h[0]/p[0],g=h[1]/p[1],v=1/m,b=1/g,y=2*Math.ceil(v)+2,w=2*Math.ceil(b)+2,x=0;x<i;x++)for(var _=x*e.strides[0],k=0;k<o;k++)for(var S=_+k*e.strides[1],E=Math.floor(k*v),O=Math.floor(E-y/2),A=0;A<a;A++)for(var C=S+A*e.strides[2],M=Math.floor(A*b),N=Math.floor(M-w/2),T=0;T<s;T++){for(var I=0,D=0;D<y;D++){var j=D+O;if(!(j<0||j>=c)){var R=_+j*t.strides[1],F=j*m;if(k===Math.min(o-1,n?Math.round(F):Math.floor(F)))for(var P=0;P<w;P++){var z=P+N;if(!(z<0||z>=l)){var L=R+z*t.strides[2],B=z*g;A===Math.min(a-1,n?Math.round(B):Math.floor(B))&&(I+=d[L+T])}}}}f[C+T]=I}return _n(f,e.shape,e.dtype)},t.prototype.batchNormalization=function(t,e,n,r,i,o){this.assertNotComplex([t,e,n,i,o],"batchNorm");for(var a=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=i?this.readSync(i.dataId):new Float32Array([1]),l=o?this.readSync(o.dataId):new Float32Array([0]),f=new Float32Array(a.length),d=l.length,h=c.length,p=u.length,m=s.length,g=0,v=0,b=0,y=0,w=0;w<a.length;++w)f[w]=l[g++]+(a[w]-s[v++])*c[b++]/Math.sqrt(u[y++]+r),g>=d&&(g=0),v>=m&&(v=0),b>=h&&(b=0),y>=p&&(y=0);return _n(f,t.shape)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){this.assertNotComplex(t,"localResponseNormalization4D");var o=t.shape[3],a=o-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%o,r=t-n+Math.max(0,n-e),i=t-n+Math.min(n+e,a),u=0;r<=i;r++){var c=s[r];u+=c*c}return u}for(var f=0;f<u;f++){var d=l(f),h=s[f]*Math.pow(n+r*d,-i);c[f]=h}return _n(c,t.shape)},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){this.assertNotComplex(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),f=new Float32Array(t.size),d=t.size,h=0;h<d;h++){for(var p=h%s,m=h-p+Math.max(0,p-r),g=h-p+Math.min(s,p+r+1),v=0,b=m;b<g;b++)v+=Math.pow(c[b],2);for(v=o*v+i,b=m;b<g;b++){var y=-2*o*a*c[b]*l[h]/v;h===b&&(y+=Math.pow(v,-a)),y*=u[h],f[b]+=y}}return _n(f,t.shape)},t.prototype.multinomial=function(t,e,n,r){this.assertNotComplex(t,"multinomial");for(var i=e?t:qr(t),o=i.shape[0],a=i.shape[1],s=On([o,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(i.dataId),l=0;l<o;++l){var f=l*a,d=new Float32Array(a-1);d[0]=c[f];for(var h=1;h<d.length;++h)d[h]=d[h-1]+c[f+h];for(var p=$n(r.toString()),m=l*n,g=0;g<n;++g){var v=p();u[m+g]=d.length;for(var b=0;b<d.length;b++)if(v<d[b]){u[m+g]=b;break}}}return s},t.prototype.oneHot=function(t,e,n,r){this.assertNotComplex(t,"oneHot");var i=new Float32Array(t.size*e);i.fill(r);for(var o=this.readSync(t.dataId),a=0;a<t.size;++a)o[a]>=0&&o[a]<e&&(i[a*e+o[a]]=n);return wn(i,[t.size,e],"int32")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return this.assertNotComplex(t,"nonMaxSuppression"),pi(this.readSync(t.dataId),this.readSync(e.dataId),n,r,i)},t.prototype.fft=function(t){return this.fftBatch(t,!1)},t.prototype.ifft=function(t){return this.fftBatch(t,!0)},t.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=Xn(t.shape,"float32"),o=Xn(t.shape,"float32"),a=pn(t).as2D(n,r),s=mn(t).as2D(n,r),u=0;u<n;u++)for(var c=a.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),f=hn(c,l),d=this.readSync(this.fftImpl(f,e).dataId),h=0;h<r;h++){var p=fi(d,h);i.values[u*r+h]=p.real,o.values[u*r+h]=p.imag}return hn(i.toTensor(),o.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(i=hn(pn(i).div(bn(r)),mn(i).div(bn(r)))),i}var o=this.readSync(t.dataId),a=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(o,r,e));return hn(a.real,a.imag).as2D(t.shape[0],t.shape[1])},t.prototype.isExponentOf2=function(t){return 0==(t&t-1)},t.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),i=e/2,o=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=0;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),a=hn(o.real,o.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=2;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),u=hn(s.real,s.imag).as1D();a=this.fftRadix2(a,i,n),u=this.fftRadix2(u,i,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),i=0;i<Math.ceil(t/2);i++){var o=(e?2:-2)*Math.PI*(i/t);n[i]=Math.cos(o),r[i]=Math.sin(o)}return{real:n,imag:r}}(e,n),l=hn(c.real,c.imag).mul(u),f=a.add(l),d=a.sub(l),h=pn(f).concat(pn(d)),p=mn(f).concat(mn(d));return hn(h,p).as1D()},t.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),i=0;i<e;i++){for(var o=0,a=0,s=0;s<e;s++){var u=hi(i*s,e,n),c=fi(t,s);o+=c.real*u.real-c.imag*u.imag,a+=c.real*u.imag+c.imag*u.real}n&&(o/=e,a/=e),di(r,o,a,i)}return r},t.prototype.depthToSpace=function(t,e,n){w("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),w(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],i=t.shape[1],o=t.shape[2],a=t.shape[3],s=i*e,u=o*e,c=a/(e*e),l=this.readSync(t.dataId),f=new Float32Array(r*s*u*c),d=0,h=0;h<r;++h)for(var p=0;p<s;++p)for(var m=Math.floor(p/e),g=p%e,v=0;v<u;++v)for(var b=Math.floor(v/e),y=(g*e+v%e)*c,x=0;x<c;++x){var _=x+y+a*(b+o*(m+i*h));f[d++]=l[_]}return _n(f,[r,s,u,c])},t.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=Xr(t.shape,e.shape),o=Xn(i,n),a=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Gr(t.shape,i),c=Gr(e.shape,i),l=o.values;if(u.length+c.length===0)for(var f=0;f<l.length;++f)l[f]=r(a[f%a.length],s[f%s.length]);else{var d=this.bufferSync(t),h=this.bufferSync(e),p=function(n){var i=o.indexToLoc(n),f=i.slice(-t.rank);u.forEach(function(t){return f[t]=0});var p=d.locToIndex(f),m=i.slice(-e.rank);c.forEach(function(t){return m[t]=0});var g=h.locToIndex(m);l[n]=r(a[p],s[g])};for(f=0;f<l.length;++f)p(f)}return o.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Xr(t.shape,e.shape),i=Xn(r,"float32"),o=Xn(r,"float32"),a=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Gr(t.shape,r),c=Gr(e.shape,r),l=i.values,f=o.values;if(u.length+c.length===0)for(var d=0;d<l.length;d++){var h=d%a.length,p=d%s.length,m=n(a[2*h],a[2*h+1],s[2*p],s[2*p+1]);l[d]=m.real,f[d]=m.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),v=this.bufferSync(this.data.get(e.dataId).complexTensors.real),b=function(r){var o=i.indexToLoc(r),d=o.slice(-t.rank);u.forEach(function(t){return d[t]=0});var h=g.locToIndex(d),p=o.slice(-e.rank);c.forEach(function(t){return p[t]=0});var m=v.locToIndex(p),b=n(a[2*h],a[2*h+1],s[2*m],s[2*m+1]);l[r]=b.real,f[r]=b.imag};for(d=0;d<l.length;d++)b(d)}return this.complex(i.toTensor(),o.toTensor())},t.prototype.split=function(t,e,n){return gi(t,e,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return 1e-7},t.prototype.cropAndResize=function(t,e,n,r,i,o){for(var a=t.shape,s=a[0],u=a[1],c=a[2],l=a[3],f=e.shape[0],d=r[0],h=r[1],p=Xn([f,d,h,l],t.dtype),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),b=t.strides,y=p.strides,w=0;w<f;w++){var x=4*w,_=m[x],k=m[x+1],S=m[x+2],E=m[x+3],O=g[w];if(!(O>=s))for(var A=d>1?(S-_)*(u-1)/(d-1):0,C=h>1?(E-k)*(c-1)/(h-1):0,M=0;M<d;M++){var N=d>1?_*(u-1)+M*A:.5*(_+S)*(u-1);if(N<0||N>u-1)for(var T=0;T<h;T++)for(var I=0;I<l;I++){var D=I+T*y[2]+M*y[1]+w*y[0];p.values[D]=o}else if("bilinear"===i){var j=Math.floor(N),R=Math.ceil(N),F=N-j;for(T=0;T<h;T++)if((H=h>1?k*(c-1)+T*C:.5*(k+E)*(c-1))<0||H>c-1)for(I=0;I<l;I++)D=I+T*y[2]+M*y[1]+w*y[0],p.values[D]=o;else{var P=Math.floor(H),z=Math.ceil(H),L=H-P;for(I=0;I<l;I++){var B=v[D=I+P*b[2]+j*b[1]+O*b[0]],U=v[D=I+z*b[2]+j*b[1]+O*b[0]],W=v[D=I+P*b[2]+R*b[1]+O*b[0]],q=B+(U-B)*L,V=W+(v[D=I+z*b[2]+R*b[1]+O*b[0]]-W)*L;D=I+T*y[2]+M*y[1]+w*y[0],p.values[D]=q+(V-q)*F}}}else for(T=0;T<h;++T){var H;if((H=h>1?k*(c-1)+T*C:.5*(k+E)*(c-1))<0||H>c-1)for(I=0;I<l;I++)D=I+T*y[2]+M*y[1]+w*y[0],p.values[D]=o;else{var $=Math.round(H),G=Math.round(N);for(I=0;I<l;I++){var K=I+$*b[2]+G*b[1]+O*b[0],X=I+T*y[2]+M*y[1]+w*y[0];p.values[X]=v[K]}}}}}return p.toTensor()},t.prototype.sparseToDense=function(t,e,n,r){var i=Nr(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.sliceSize,u=i.strides,c=i.outputSize;return this.scatter(t,e,n,c,s,a,o,u,r,!1)},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=Ar(t,e),o=i[0],a=i[1],s=i[2],u=i[3];if(0===a)return gn([],o,t.dtype);for(var c=new lt([a,s],t.dtype),l=this.readSync(e.dataId),f=this.readSync(t.dataId),d=0;d<a;d++){for(var h=[],p=0,m=0;m<r;m++){var g=l[d*r+m];p+=g*u[m],h.push(g)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: 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null!=h.global.fetch?h.global.fetch(t,e):(null==uc&&(uc=n(675)),uc(t,e))},t}();h.get("IS_NODE")&&h.setPlatform("node",new cc);var lc={float32:4,int32:4,uint16:2,uint8:1,bool:1};function fc(t,e){for(var n={},r=0,i=function(e){var i=e.name,o=e.dtype,a=e.shape,s=S(a),u=void 0;if("quantization"in e){var c=e.quantization;if("uint8"!==c.dtype&&"uint16"!==c.dtype)throw new Error("Weight "+e.name+" has unknown quantization dtype "+c.dtype+". Supported quantization dtypes are: 'uint8' and 'uint16'.");var l=lc[c.dtype],f=t.slice(r,r+s*l),d="uint8"===c.dtype?new Uint8Array(f):new Uint16Array(f);if("float32"===o)u=Float32Array.from(d,function(t){return t*c.scale+c.min});else{if("int32"!==o)throw new Error("Unsupported dtype in weight '"+i+"': "+o);u=Int32Array.from(d,function(t){return Math.round(t*c.scale+c.min)})}r+=s*l}else if("string"===o){var p=e,m=new Uint8Array(t.slice(r,r+p.byteLength));u=h.platform.decodeUTF8(m).split(p.delimiter),r+=p.byteLength}else{var g=lc[o];if(f=t.slice(r,r+s*g),"float32"===o)u=new Float32Array(f);else if("int32"===o)u=new Int32Array(f);else{if("bool"!==o)throw new Error("Unsupported dtype in weight '"+i+"': "+o);u=new Uint8Array(f)}r+=s*g}n[i]=gn(u,a,o)},o=0,a=e;o<a.length;o++)i(a[o]);return n}var dc=void 0!==i&&("undefined"==typeof Blob||"undefined"==typeof atob||"undefined"==typeof btoa);function hc(t){return dc?i.byteLength(t):new Blob([t]).size}function pc(t){var e=0;t.forEach(function(t){e+=t.byteLength});var n=new Uint8Array(e),r=0;return t.forEach(function(t){n.set(new Uint8Array(t),r),r+=t.byteLength}),n.buffer}function mc(t){for(t=t.trim();t.endsWith("/");)t=t.slice(0,t.length-1);var e=t.split("/");return e[e.length-1]}function gc(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:null==t.modelTopology?0:hc(JSON.stringify(t.modelTopology)),weightSpecsBytes:null==t.weightSpecs?0:hc(JSON.stringify(t.weightSpecs)),weightDataBytes:null==t.weightData?0:t.weightData.byteLength}}var vc=function(){function t(){this.saveRouters=[],this.loadRouters=[]}return t.getInstance=function(){return null==t.instance&&(t.instance=new t),t.instance},t.registerSaveRouter=function(e){t.getInstance().saveRouters.push(e)},t.registerLoadRouter=function(e){t.getInstance().loadRouters.push(e)},t.getSaveHandlers=function(e){return t.getHandlers(e,"save")},t.getLoadHandlers=function(e,n){return t.getHandlers(e,"load",n)},t.getHandlers=function(e,n,r){var i=[];return("load"===n?t.getInstance().loadRouters:t.getInstance().saveRouters).forEach(function(t){var n=t(e,r);null!==n&&i.push(n)}),i},t}(),bc="://",yc=function(){function t(){this.managers={}}return t.getInstance=function(){return null==t.instance&&(t.instance=new t),t.instance},t.registerManager=function(e,n){w(null!=e,function(){return"scheme must not be undefined or null."}),e.endsWith(bc)&&(e=e.slice(0,e.indexOf(bc))),w(e.length>0,function(){return"scheme must not be an empty string."});var r=t.getInstance();w(null==r.managers[e],function(){return"A model store manager is already registered for scheme '"+e+"'."}),r.managers[e]=n},t.getManager=function(t){var e=this.getInstance().managers[t];if(null==e)throw new Error("Cannot find model manager for scheme '"+t+"'");return e},t.getSchemes=function(){return Object.keys(this.getInstance().managers)},t}();function wc(t){if(-1===t.indexOf(bc))throw new Error("The url string provided does not contain a scheme. 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u,c=gc(e),l=o.transaction(kc,"readwrite"),f=l.objectStore(kc),d=f.put({modelPath:n.modelPath,modelArtifactsInfo:c});d.onsuccess=function(){var i=(u=o.transaction(_c,"readwrite")).objectStore(_c).put({modelPath:n.modelPath,modelArtifacts:e,modelArtifactsInfo:c});i.onsuccess=function(){return t({modelArtifactsInfo:c})},i.onerror=function(t){var e=(f=l.objectStore(kc)).delete(n.modelPath);e.onsuccess=function(){return o.close(),r(i.error)},e.onerror=function(t){return o.close(),r(i.error)}}},d.onerror=function(t){return o.close(),r(d.error)},l.oncomplete=function(){null==u?o.close():u.oncomplete=function(){return o.close()}}}},i.onerror=function(t){return r(i.error)}})},t.URL_SCHEME="indexeddb://",t}(),Ac=function(t){return h.getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Oc.URL_SCHEME)?(e=t.slice(Oc.URL_SCHEME.length),new Oc(e)):null;var e};vc.registerSaveRouter(Ac),vc.registerLoadRouter(Ac);var Cc=function(){function t(){this.indexedDB=Sc()}return t.prototype.listModels=function(){return c(this,void 0,void 0,function(){var t=this;return l(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return Ec(r)},r.onsuccess=function(){var t=r.result,i=t.transaction(kc,"readonly"),o=i.objectStore(kc).getAll();o.onsuccess=function(){for(var t={},n=0,r=o.result;n<r.length;n++){var i=r[n];t[i.modelPath]=i.modelArtifactsInfo}e(t)},o.onerror=function(e){return t.close(),n(o.error)},i.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return c(this,void 0,void 0,function(){var e=this;return l(this,function(n){var r;return t=(r=t).startsWith(Oc.URL_SCHEME)?r.slice(Oc.URL_SCHEME.length):r,[2,new Promise(function(n,r){var i=e.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return Ec(i)},i.onsuccess=function(){var e,o=i.result,a=o.transaction(kc,"readwrite"),s=a.objectStore(kc),u=s.get(t);u.onsuccess=function(){if(null==u.result)return o.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var i=s.delete(t),a=function(){var i=(e=o.transaction(_c,"readwrite")).objectStore(_c).delete(t);i.onsuccess=function(){return n(u.result.modelArtifactsInfo)},i.onerror=function(t){return r(u.error)}};i.onsuccess=a,i.onerror=function(t){return a(),o.close(),r(u.error)}},u.onerror=function(t){return o.close(),r(u.error)},a.oncomplete=function(){null==e?o.close():e.oncomplete=function(){return o.close()}}},i.onerror=function(t){return r(i.error)}})]})})},t}();if(h.getBool("IS_BROWSER"))try{yc.registerManager(Oc.URL_SCHEME,new Cc)}catch(a){}var Mc="/",Nc="tensorflowjs_models",Tc="info",Ic="model_topology",Dc="weight_specs",jc="weight_data",Rc="model_metadata";function Fc(t){return{info:[Nc,t,Tc].join(Mc),topology:[Nc,t,Ic].join(Mc),weightSpecs:[Nc,t,Dc].join(Mc),weightData:[Nc,t,jc].join(Mc),modelMetadata:[Nc,t,Rc].join(Mc)}}function Pc(t){var e=t.split(Mc);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(Mc)}var zc=function(){function t(t){if(!h.getBool("IS_BROWSER")||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==t||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=Fc(this.modelPath)}return t.prototype.save=function(t){return c(this,void 0,void 0,function(){var e,n,r;return l(this,function(o){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),r=gc(t);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,(a=t.weightData,dc?i.from(a).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(a))))),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy})),[2,{modelArtifactsInfo:r}]}catch(t){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes="+r.modelTopologyBytes+", weightSpecsBytes="+r.weightSpecsBytes+", weightDataBytes="+r.weightDataBytes+".")}var a;return[2]})})},t.prototype.load=function(){return c(this,void 0,void 0,function(){var t,e,n,r,o,a,s;return l(this,function(u){if(null==(t=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");if("JSON"!==t.modelTopologyType)throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if(e={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error("In local storage, the topology of model '"+this.modelPath+"' is missing.");if(e.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error("In local storage, the weight specs of model '"+this.modelPath+"' are missing.");if(e.weightSpecs=r,null!=(o=this.LS.getItem(this.keys.modelMetadata))&&(a=JSON.parse(o),e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy),null==(s=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return e.weightData=function(t){if(dc){var e=i.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var n=atob(t),r=new Uint8Array(n.length),o=0;o<n.length;++o)r.set([n.charCodeAt(o)],o);return r.buffer}(s),[2,e]})})},t.URL_SCHEME="localstorage://",t}(),Lc=function(t){return h.getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(zc.URL_SCHEME)?(e=t.slice(zc.URL_SCHEME.length),new zc(e)):null;var e};vc.registerSaveRouter(Lc),vc.registerLoadRouter(Lc);var Bc=function(){function t(){w(h.getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),w(void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return t.prototype.listModels=function(){return c(this,void 0,void 0,function(){var t,e,n,r,i,o;return l(this,function(a){for(t={},e=Nc+Mc,n=Mc+Tc,r=0;r<this.LS.length;++r)(i=this.LS.key(r)).startsWith(e)&&i.endsWith(n)&&(o=Pc(i),t[o]=JSON.parse(this.LS.getItem(i)));return[2,t]})})},t.prototype.removeModel=function(t){return c(this,void 0,void 0,function(){var e,n;return l(this,function(r){var i;if(t=(i=t).startsWith(zc.URL_SCHEME)?i.slice(zc.URL_SCHEME.length):i,e=Fc(t),null==this.LS.getItem(e.info))throw new Error("Cannot find model at path '"+t+"'");return n=JSON.parse(this.LS.getItem(e.info)),this.LS.removeItem(e.info),this.LS.removeItem(e.topology),this.LS.removeItem(e.weightSpecs),this.LS.removeItem(e.weightData),[2,n]})})},t}();if(h.getBool("IS_BROWSER"))try{yc.registerManager(zc.URL_SCHEME,new Bc)}catch(a){}var Uc="model",Wc=".json",qc=".weights.bin";function Vc(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var Hc=function(){function t(e){if(!h.getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a 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null==this.iterations_&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),e.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},e.prototype.computeGradients=function(t,e){return Br(t,e)},e.prototype.dispose=function(){null!=this.iterations_&&ze(this.iterations_)},e.prototype.saveIterations=function(){return c(this,void 0,void 0,function(){return l(this,function(t){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:bn(this.iterations_,"int32")}]})})},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){return l(this,function(t){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){return l(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return c(this,void 0,void 0,function(){var e;return 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l(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=t.length/2,this.accumulatedGrads=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedUpdates=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.rho,e.epsilon)},e.className="AdadeltaOptimizer",e}(yl);cl(wl);var xl=function(t){function e(e,n){void 0===n&&(n=.1);var r=t.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return s(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var 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a=It.registeredVariables[n];null==e.accumulatedFirstMoment[o]&&(e.accumulatedFirstMoment[o]={originalName:n+"/m",variable:Pe(function(){return Tn(a).variable(!1)})}),null==e.accumulatedSecondMoment[o]&&(e.accumulatedSecondMoment[o]={originalName:n+"/v",variable:Pe(function(){return Tn(a).variable(!1)})});var s=Array.isArray(t)?t[o].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[o].variable,c=e.accumulatedSecondMoment[o].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),f=c.mul(e.beta2).add(s.square().mul(1-e.beta2)),d=l.div(r),h=f.div(i);u.assign(l),c.assign(f);var p=d.div(h.sqrt().add(e.epsilon)).mul(-e.learningRate).add(a);a.assign(p)}}),e.accBeta1.assign(e.accBeta1.mul(e.beta1)),e.accBeta2.assign(e.accBeta2.mul(e.beta2))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&ze(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&ze(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){var t;return l(this,function(e){switch(e.label){case 0:return t=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){var e,n=this;return l(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),Pe(function(){n.accBeta1.assign(Gs(n.beta1,n.iterations_+1)),n.accBeta2.assign(Gs(n.beta2,n.iterations_+1))}),e=t.length/2,this.accumulatedFirstMoment=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedSecondMoment=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)},e.className="Adam",e}(yl);cl(_l);var kl=function(t){function e(e,n,r,i,o){void 0===i&&(i=null),void 0===o&&(o=0);var a=t.call(this)||this;return a.learningRate=e,a.beta1=n,a.beta2=r,a.epsilon=i,a.decay=o,a.accumulatedFirstMoment=[],a.accumulatedWeightedInfNorm=[],Pe(function(){a.iteration=bn(0).variable(),a.accBeta1=bn(n).variable()}),null==i&&(a.epsilon=It.backend.epsilon()),a}return s(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Pe(function(){var r=Js(1,e.accBeta1),i=Fs(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,o){var a=It.registeredVariables[n];null==e.accumulatedFirstMoment[o]&&(e.accumulatedFirstMoment[o]={originalName:n+"/m",variable:Tn(a).variable(!1)}),null==e.accumulatedWeightedInfNorm[o]&&(e.accumulatedWeightedInfNorm[o]={originalName:n+"/v",variable:Tn(a).variable(!1)});var s=Array.isArray(t)?t[o].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[o].variable,c=e.accumulatedWeightedInfNorm[o].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),f=c.mul(e.beta2),d=s.abs(),h=f.maximum(d);u.assign(l),c.assign(h);var p=i.div(r).mul(l.div(h.add(e.epsilon))).add(a);a.assign(p)}}),e.iteration.assign(e.iteration.add(1)),e.accBeta1.assign(e.accBeta1.mul(e.beta1))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&ze(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&ze(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){return l(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){return l(this,function(t){throw new Error("setWeights() is not implemented for Adamax yet.")})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)},e.className="Adamax",e}(yl);cl(kl);var Sl=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return s(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var o=It.registeredVariables[n];Pe(function(){var t=e.c.mul(i).add(o);o.assign(t)})}}),this.incrementIterations()},e.prototype.setLearningRate=function(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=Le(bn(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){return l(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){return l(this,function(e){switch(e.label){case 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t,n=e.m.mul(o).add(a);t=e.useNesterov?e.c.mul(a.add(n.mul(e.m))).add(i):e.c.mul(n).add(i),o.assign(n),i.assign(t)})}),this.incrementIterations()},e.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&ze(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){return l(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulations.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){return l(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulations=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},e.fromConfig=function(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)},e.className="MomentumOptimizer",e}(Sl);cl(El);var Ol=function(t){function e(e,n,r,i,o){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===i&&(i=null),void 0===o&&(o=!1);var a=t.call(this)||this;return a.learningRate=e,a.decay=n,a.momentum=r,a.epsilon=i,a.accumulatedMeanSquares=[],a.accumulatedMoments=[],a.accumulatedMeanGrads=[],a.centered=o,null==i&&(a.epsilon=It.backend.epsilon()),a}return s(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var i=It.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:Pe(function(){return Tn(i).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:Pe(function(){return Tn(i).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:Pe(function(){return Tn(i).variable(!1)})});var o=Array.isArray(t)?t[r].tensor:t[n];if(null!=o){var a=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;Pe(function(){var t=a.mul(e.decay).add(o.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(o.mul(1-e.decay)),c=s.mul(e.momentum).add(o.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));a.assign(t),n.assign(u),s.assign(c);var l=i.sub(c);i.assign(l)}else{var f=a.mul(e.decay).add(o.square().mul(1-e.decay));c=s.mul(e.momentum).add(o.mul(e.learningRate).div(f.add(e.epsilon).sqrt())),a.assign(f),s.assign(c),l=i.sub(c),i.assign(l)}})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&ze(this.accumulatedMeanSquares.map(function(t){return t.variable})),null!=this.accumulatedMeanGrads&&this.centered&&ze(this.accumulatedMeanGrads.map(function(t){return t.variable})),null!=this.accumulatedMoments&&ze(this.accumulatedMoments.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return c(this,void 0,void 0,function(){var t;return l(this,function(e){switch(e.label){case 0:return t=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&t.push.apply(t,this.accumulatedMeanGrads),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return c(this,void 0,void 0,function(){var e;return l(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=this.centered?t.length/3:t.length/2,this.accumulatedMeanSquares=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedMoments=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},e.fromConfig=function(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)},e.className="RMSProp",e}(yl);cl(Ol);var Al=function(){function t(){}return t.sgd=function(t){return new Sl(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new 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 * Copyright 2019 Google LLC. All Rights Reserved.

 * Licensed under the Apache License, Version 2.0 (the "License");

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 * You may obtain a copy of the License at

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 * http://www.apache.org/licenses/LICENSE-2.0

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 * Unless required by applicable law or agreed to in writing, software

 * distributed under the License is distributed on an "AS IS" BASIS,

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 * See the License for the specific language governing permissions and

 * limitations under the License.

 * =============================================================================

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se,ue=function(t){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||{}},ce=function(t,e,n,r,i,o,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=a,this.id=Xt(),null!=o&&(this.originalName=Q(o),this.name=tt(this.originalName)),this.rank=e.length},le=0,fe=function(){function t(t,e){this.callArgs=e,this.id=le++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var n=0,r=t.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return t.prototype.getConfig=function(){for(var t=[],e=0,n=this.inboundLayers;e<n.length;e++){var r=n[e];null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},t}(),de=0,he=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=de++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=e.name;if(!r){var i=n.getClassName();r=x(i)+"_"+Jt(i)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){var o=void 0;if(null!=e.batchInputShape)o=e.batchInputShape;else if(null!=e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),o=[a].concat(e.inputShape)}n.batchInputShape=o;var s=e.dtype;null==s&&(s=e.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=e.weights?n.initialWeights=e.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return o(e,t),e.nodeKey=function(t,e){return t.name+"_ib-"+e.toString()},e.prototype.getNodeAtIndex=function(t,e){if(0===this.inboundNodes.length)throw new d("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new h("Asked to get "+e+" at node "+t+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[t]},e.prototype.getInputAt=function(t){return y(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return y(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new f("Layer "+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 f("Layer "+this.name+" is not connected, no input to return.");return y(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new f("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new f("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return y(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),e.prototype.calculateLosses=function(){return this.losses.map(function(t){return t()})},Object.defineProperty(e.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"built",{get:function(){return this._built},set:function(t){this._built=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this._trainableWeights.forEach(function(e){return e.trainable=t}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights.filter(function(t){return t.trainable}):[]},set:function(t){this._trainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this._trainableWeights.filter(function(t){return!t.trainable}).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(t){this._nonTrainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},e.prototype.assertInputCompatibility=function(t){if(t=w(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=w(this.inputSpec);if(t.length!==e.length)throw new h("Layer "+this.name+" expects "+e.length+" inputs, but it received "+t.length+" input tensors. Input received: "+t);for(var n=0;n<t.length;n++){var r=t[n],i=e[n];if(null!=i){var o=r.rank;if(null!=i.ndim&&o!==i.ndim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+o);if(null!=i.maxNDim&&o>i.maxNDim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+o);if(null!=i.minNDim&&o<i.minNDim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+o+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new h("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var a=r.shape;for(var s in i.axes){var u=Number(s),c=i.axes[s],l=u>=0?a[u]:a[a.length+u];if(null!=c&&-1===[c,null].indexOf(l))throw new h("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+c+" but got shape "+a+".")}}if(null!=i.shape)for(var f=0;f<i.shape.length;++f){var d=i.shape[f],p=r.shape[f];if(null!=d&&null!=p&&d!==p)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape="+r.shape+".")}}}}},e.prototype.call=function(t,e){return t},e.prototype.invokeCallHook=function(t,e){null!=this._callHook&&this._callHook(t,e)},e.prototype.setCallHook=function(t){this._callHook=t},e.prototype.clearCallHook=function(){this._callHook=null},e.prototype.apply=function(t,e){var n=this;e=e||{},this.assertNotDisposed();for(var r=w(t),i=!0,o=0,a=r;o<a.length;o++)if(!(a[o]instanceof ce)){i=!1;break}for(var s=!0,u=0,c=r;u<c.length;u++)if(c[u]instanceof ce){s=!1;break}if(i===s)throw new h("Arguments to apply() must be all SymbolicTensors or all Tensors");return Z(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],o=0,a=w(t);o<a.length;o++){var u=a[o];i.push(u.shape)}n.build(y(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var c=[],l=0,f=w(g=n.call(t,e));l<f.length;l++){var d=f[l];-1!==r.indexOf(d)&&(d=d.clone()),c.push(d)}if(g=y(c),null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g}var h=function(t){for(var e=[],n=0,r=t=w(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return y(e)}(t),m=n.computeOutputShape(h),g=void 0,v="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?h[0]:h),g=null!=m&&m.length>0&&Array.isArray(m[0])?m.map(function(r,i){return new ce(v,r,n,w(t),e,n.name,i)}):new ce(v,m,n,w(t),e,n.name),n.addInboundNode(t,g,null,null,h,m,e),n._refCount++,null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g})},e.prototype.warnOnIncompatibleInputShape=function(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var e=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn("The shape of the input tensor ("+JSON.stringify(t)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(e.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new f("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var t=[],e=0,n=this.inboundNodes;e<n.length;e++){var r=n[e],i=JSON.stringify(r.outputShapes);-1===t.indexOf(i)&&t.push(i)}if(1===t.length){var o=this.inboundNodes[0].outputShapes;return Array.isArray(o)&&Array.isArray(o[0])&&1===o.length?o[0]:o}throw new f("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),e.prototype.countParams=function(){if(!this.built)throw new d("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return ne(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),oe(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;Object(r.tidy)(function(){var n=e.weights;if(n.length!==t.length)throw new h('You called setWeights(weights) on layer "'+e.name+'" with a weight list of length '+t.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+t+"...");if(0!==n.length){for(var i=[],o=oe(n),a=0;a<o.length;++a){var s=o[a],u=n[a],c=t[a];if(!r.util.arraysEqual(s.shape,c.shape))throw new h("Layer weight shape "+s.shape+" not compatible with provided weight shape "+c.shape);i.push([u,c])}ae(i)}})},e.prototype.addWeight=function(t,e,n,r,i,o,a){if(-1!==this._addedWeightNames.indexOf(t))throw new h("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=$t("zeros"));var s=r.apply(e,n),u=new ie(s,n,t,o,a);return s.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==o&&(o=!0),o?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},e.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},e.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=w(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},e.prototype.computeOutputShape=function(t){return t},e.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},e.prototype.addInboundNode=function(t,e,n,r,i,o,a){void 0===a&&(a=null);var s=w(t);e=w(e),n=w(n),r=w(r),i=Qt(i),o=Qt(o);for(var u=[],c=[],l=[],f=0,d=s;f<d.length;f++){var h=d[f];u.push(h.sourceLayer),c.push(h.nodeIndex),l.push(h.tensorIndex)}new fe({outboundLayer:this,inboundLayers:u,nodeIndices:c,tensorIndices:l,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:o},a);for(var p=0;p<e.length;p++)e[p].sourceLayer=this,e[p].nodeIndex=this.inboundNodes.length-1,e[p].tensorIndex=p},e.prototype.getConfig=function(){var t={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(t.batchInputShape=this.batchInputShape),null!=this.dtype&&(t.dtype=this.dtype),t},e.prototype.disposeWeights=function(){return this.weights.forEach(function(t){return t.dispose()}),this.weights.length},e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}},e}(r.serialization.Serializable),pe=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Jt("input").toString()})||this;if(null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new h("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(null==r){if(null==e.inputShape)throw new h("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new h("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var o=new ce(n.dtype,n.batchInputShape,n,[],{},n.name);return o.nodeIndex=0,o.tensorIndex=0,new fe({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return o(e,t),e.prototype.apply=function(t,e){throw new h("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},e.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},e.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},e.className="InputLayer",e}(he);function me(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},e.prototype.evaluate=function(t,e,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;cn(r);var i=this.standardizeUserData(t,e,!0,r);try{var o=i[0].concat(i[1]);this.makeTestFunction();var a=this.testFunction;return y(this.testLoop(a,o,r,n.verbose,n.steps))}finally{mn(i[0],t),mn(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return u(this,void 0,void 0,function(){var i,o,a,s,u,l,f,d,h,m;return c(this,function(g){switch(g.label){case 0:if(i=null!=(n=n||{}).batches,o=t.testFunction,a=[],n.verbose>0)throw new p("Verbose mode is not implemented yet.");return r.util.assert(!i||n.batches>0&&Number.isInteger(n.batches),function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)}),"function"==typeof e.next?(u=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:u=g.sent(),g.label=3;case 3:s=u,l=0,f=0,d=function(){var e;return c(this,function(u){switch(u.label){case 0:return[4,s.next()];case 1:return e=u.sent(),a=Object(r.tidy)(function(){if(e.value){var n=an(t,e.value),i=Object(r.tidy)(function(){return o(n)});if(Object(r.dispose)(n),0===f)for(var s=0;s<i.length;++s)a.push(Object(r.scalar)(0));var u=n[0].shape[0],c=function(t){var e=i[t],n=a[t];a[t]=Object(r.tidy)(function(){return Object(r.add)(a[t],Object(r.mul)(u,e))}),f>0&&Object(r.dispose)(n)};for(s=0;s<i.length;++s)c(s);Object(r.dispose)(i),l+=u,++f}return a}),e.done?(i&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). 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Use LayersModel.compile(modelCompileArgs).");for(var o=[],a=0;a<this.feedOutputShapes.length;++a){var s=this.feedOutputShapes[a];this.feedLossFns[a]===Ie?o.push(s.slice(0,s.length-1).concat([1])):o.push(s)}if(function(t,e,n){var i=A(t.map(function(t){return t.shape[0]}));i.sort();var o=A(e.map(function(t){return t.shape[0]}));if(o.sort(),i.length>1)throw new h("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(o.length>1)throw new h("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(i.length>0&&o.length>0&&!r.util.arraysEqual(i,o))throw new h("Input Tensors should have the same number of samples as target Tensors. Found "+i[0]+" input sample(s) and "+o[0]+" target sample(s).")}(t=bn(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=bn(e,this.feedOutputNames,o,!1,"target")),function(t,e,n){for(var r=[Ce,De,Te],i=0;i<t.length;++i){var o=t[i],a=e[i],s=n[i];if(null!=a){if(a===Te&&1===o.shape[o.shape.length-1])throw new h("You are passing a target array of shape "+o.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(a))for(var u=o.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var f=u[l],d=c[l];if(null!=d&&f!==d)throw new h("A target Tensor with shape "+o.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=i&&i>0&&t[0].shape[0]%i!=0)throw new h("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+i+". Found: "+t[0].shape[0]+" sample(s).");return[t,e,null]},e.prototype.testLoop=function(t,e,n,i,o){var a=this;return void 0===i&&(i=0),Object(r.tidy)(function(){var s=a.checkNumSamples(e,n,o,"steps"),u=[];if(i>0)throw new p("Verbose mode is not implemented yet.");if(null!=o)throw new p("steps mode in testLoop() is not implemented yet");for(var c=dn(s,n),l=Object(r.tensor1d)(ut(0,s)),f=0;f<c.length;++f){var d=c[f][0],h=c[f][1],m=ft(l,d,h-d),g=fn(e,m),v=t(g);if(0===f)for(var b=0;b<v.length;++b)u.push(Object(r.scalar)(0));for(b=0;b<v.length;++b){var y=v[b];u[b]=Object(r.add)(u[b],Object(r.mul)(h-d,y))}}for(b=0;b<u.length;++b)u[b]=Object(r.div)(u[b],s);return u})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;b(t,r)>1&&(i+="_"+b(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=e.slice(0,t.inputs.length),i=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=[],a=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer_.minimize(function(){for(var e=[],a=0;a<t.inputs.length;++a)e.push({key:t.inputs[a],value:n[a]});var s,u=new Ze(e),c=en(t.outputs,u,{training:!0});for(a=0;a<t.lossFunctions.length;++a){var l=(0,t.lossFunctions[a])(i[a],c[a]);Object(r.mean)(l),s=0===a?l:Object(r.add)(s,l)}for(a=0;a<t.metricsTensors.length;++a){var f=t.metricsTensors[a][0],d=t.metricsTensors[a][1],h=Object(r.mean)(f(i[d],c[d]));Object(r.keep)(h),o.push(h)}return s=Object(r.mean)(s),t.calculateLosses().forEach(function(t){s=Object(r.add)(s,t)}),s},!0,a)].concat(o)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return Object(r.tidy)(function(){for(var n,i=[],o=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),s=[],u=0;u<t.inputs.length;++u)s.push({key:t.inputs[u],value:o[u]});var c=new Ze(s),l=en(t.outputs,c);for(u=0;u<t.lossFunctions.length;++u){var f=t.lossFunctions[u],d=Object(r.mean)(f(a[u],l[u]));n=0===u?d:Object(r.add)(n,d),i.push(n)}for(u=0;u<t.metricsTensors.length;++u){var h=t.metricsTensors[u][0],p=t.metricsTensors[u][1],m=Object(r.mean)(h(a[p],l[p]));i.push(m)}return i})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),u(this,void 0,void 0,function(){return c(this,function(r){return[2,hn(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){return[2,function(t,e,n){return u(this,void 0,void 0,function(){var i,o,a,s,u,l,f,d,h,m,g,v,b,y,x,_,k,S,E,O,A,C,M,N,T,I,D;return c(this,function(c){switch(c.label){case 0:if(i=null!=n.batchesPerEpoch,r.util.assert(null!=t.optimizer,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),r.util.assert(null!=n,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),r.util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+n.epochs}),r.util.assert(!i||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+n.batchesPerEpoch}),r.util.assert(null==n.validationSplit,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,c.label=1;case 1:return c.trys.push([1,,22,23]),o=null!=n.validationData,a=void 0,s=void 0,o&&(un(n.validationData)?r.util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.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 "+n.validationBatches}):(u=function(t){if(3===t.length)throw new p("Validation with sample weights is not implemented yet.");return{xs:t[0],ys:t[1]}}(n.validationData),a=u.xs,s=u.ys)),l=t.makeTrainFunction(),f=t.getDedupedMetricsNames(),d=void 0,d=o?f.slice().concat(f.map(function(t){return"val_"+t})):f.slice(),h=Se(n.callbacks,n.yieldEvery),m=null==n.verbose?1:n.verbose,g=Oe(h,m,n.epochs,null,null,function(t,e){var n=null;return null!=e.batchesPerEpoch?n=e.batchesPerEpoch:Number.isFinite(t.size)&&(n=t.size),n}(e,n),null,o,d),v=g.callbackList,b=g.history,v.setModel(t),t.history=b,[4,v.onTrainBegin()];case 2:return c.sent(),t.stopTraining_=!1,y=null==n.initialEpoch?0:n.initialEpoch,[4,e.iterator()];case 3:x=c.sent(),c.label=4;case 4:return y<n.epochs?(_={},[4,v.onEpochBegin(y)]):[3,19];case 5:return c.sent(),k=0,S=0,i?[3,7]:[4,e.iterator()];case 6:x=c.sent(),c.label=7;case 7:return!i||k<n.batchesPerEpoch?[4,x.next()]:[3,17];case 8:return E=c.sent(),i&&E.done?(console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+k+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+n.batchesPerEpoch*n.epochs+" batches). You may need to use the repeat() function when building your dataset."),[3,17]):null==E.value?[3,11]:(O=an(t,E.value),(A={}).batch=S,A.size=O[0].shape[0],[4,v.onBatchBegin(S,A)]);case 9:for(c.sent(),C=l(O),Object(r.dispose)(O),D=0;D<f.length;++D)M=f[D],N=C[D],A[M]=N,Object(r.keep)(N);return[4,v.onBatchEnd(S,A)];case 10:c.sent(),ve(A),S++,k++,c.label=11;case 11:return(i?k>=n.batchesPerEpoch:E.done)?o?(T=void 0,un(n.validationData)?(I=w,[4,t.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,13]):[3,15]:[3,16];case 12:return T=I.apply(void 0,[c.sent()]),[3,14];case 13:T=w(t.evaluate(a,s,{batchSize:null==n.validationBatchSize?on:n.validationBatchSize,verbose:0})),c.label=14;case 14:for(D=0;D<t.metricsNames.length;++D)_["val_"+t.metricsNames[D]]=T[D];c.label=15;case 15:return[3,17];case 16:return t.stopTraining_?[3,17]:[3,7];case 17:return[4,v.onEpochEnd(y,_)];case 18:return c.sent(),y++,t.stopTraining_?[3,19]:[3,4];case 19:return[4,v.onTrainEnd()];case 20:return c.sent(),[4,t.history.syncData()];case 21:return c.sent(),[2,t.history];case 22:return t.isTraining=!1,[7];case 23:return[2]}})})}(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return u(this,void 0,void 0,function(){var n,i,o,a,s,u,l,f,d;return c(this,function(c){switch(c.label){case 0:n=this.standardizeUserData(t,e),i=n[0],o=n[1],a=this.makeTrainFunction(),s=a(i.concat(o)),u=[],l=0,f=s,c.label=1;case 1:return l<f.length?[4,f[l].data()]:[3,4];case 2:d=c.sent(),u.push(d[0]),c.label=3;case 3:return l++,[3,1];case 4:return Object(r.dispose)(s),[2,y(u)]}})})},e.prototype.getNamedWeights=function(t){for(var e={},n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),o=0;o<r.length;++o)n&&!r[o].trainable||(e[r[o].originalName]=i[o]);return e},Object.defineProperty(e.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(t){this.optimizer_!==t&&(this.optimizer_=t,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),e.prototype.dispose=function(){var e=t.prototype.dispose.call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=Object(r.memory)().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Object(r.memory)().numTensors}return e},e.prototype.save=function(t,e){return u(this,void 0,void 0,function(){var n,i,o,a,s;return c(this,function(u){switch(u.label){case 0:if("string"==typeof t){if(0===(n=r.io.getSaveHandlers(t)).length)throw new h("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new h("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new h("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,r.io.encodeWeights(this.getNamedWeights(e))];case 1:return i=u.sent(),o=!1,a=null,s=this.toJSON(a,o),[2,t.save({modelTopology:s,weightData:i.data,weightSpecs:i.specs,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.2.2",convertedBy:null})]}})})},e.className="Model",e}(function(t){function e(n){var r=t.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=Jt(i)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],A(r.inputs).length!==r.inputs.length)throw new h("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map(function(t){return t.name}));A(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(t){return t.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var o=0,a=r.outputs;o<a.length;o++){var s=(T=a[o]).sourceLayer,u=T.nodeIndex,c=T.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(c)}for(var l=0,f=r.inputs;l<f.length;l++)s=(T=f[l]).sourceLayer,u=T.nodeIndex,c=T.tensorIndex,v(0===u,"input layer has >1 nodes"),v(0===c,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(c);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var p=0;p<r.inputLayers.length;p++){if(!((s=r.inputLayers[p])instanceof pe))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+p+" (0-based) originates from layer type "+s.getClassName()+".");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var m=0,g=r.outputLayers;m<g.length;m++)s=g[m],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map(function(t){return t.shape}),r.internalOutputShapes=r.outputs.map(function(t){return t.shape});for(var b={},y={},w={},x={},_={},k=[],S=function(t,n,i,o,a,s){null!=o&&null!=a&&null!=s||(o=t.sourceLayer,a=t.nodeIndex,s=t.tensorIndex);var u=o.inboundNodes[a];if(-1!==i.indexOf(u))throw new d("The tensor "+t.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(o,a)),o.id in _||(_[o.id]=Object.keys(_).length),-1===i.indexOf(u)&&i.push(u);for(var c=u.inboundLayers.length,l=0;l<c;l++){var f=u.inputTensors[l],h=u.inboundLayers[l],p=u.nodeIndices[l],m=u.tensorIndices[l];S(f,n,i,h,p,m)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);k.push(u)}},E=[],C=[],M=0,N=r.outputs;M<N.length;M++){var T=N[M];S(T,E,C)}for(var I=0,D=k.slice().reverse();I<D.length;I++){y[(et=D[I]).id]=et,et.id in b||(b[et.id]=0);var j=b[et.id],R=null==w[et.outboundLayer.id]?0:w[et.outboundLayer.id];for(j=Math.max(j,R),w[et.outboundLayer.id]=j,x[et.outboundLayer.id]=et.outboundLayer,b[et.id]=j,p=0;p<et.inboundLayers.length;p++){var F=et.inboundLayers[p],P=(u=et.nodeIndices[p],F.inboundNodes[u]),z=null==b[P.id]?0:b[P.id];b[P.id]=Math.max(j+1,z),y[P.id]=P}}var L={};for(var B in b)(j=b[B])in L||(L[j]=[]),L[j].push(y[B]);var U={};for(var W in w)(j=w[W])in U||(U[j]=[]),U[j].push(x[W]);var q=Object.keys(U).map(function(t){return parseInt(t,10)}).sort(O);r.layers=[];for(var V=0,H=q;V<H.length;V++){var $=U[j=H[V]];$.sort(function(t,e){var n=_[t.id],r=_[e.id];return n<r?-1:n>r?1:0});for(var G=0,K=$;G<K.length;G++)s=K[G],r.layers.push(s)}r.layersByDepth=U,q=Object.keys(L).map(function(t){return parseInt(t,10)}).sort(O);for(var X=r.inputs.slice(),Y=[],J=0,Z=q;J<Z.length;J++)for(var Q=0,tt=L[j=Z[J]];Q<tt.length;Q++){var et;if(null!=(s=(et=tt[Q]).outboundLayer)){for(var nt=0,rt=et.inputTensors;nt<rt.length;nt++)if(T=rt[nt],-1===X.indexOf(T))throw new d("Graph disconnected: cannot obtain value for tensor "+T+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+Y);for(var it=0,ot=et.outputTensors;it<ot.length;it++)T=ot[it],X.push(T);Y.push(s.name)}}r.nodesByDepth=L;for(var at=r.layers.map(function(t){return t.name}),st=function(t){var e=at.filter(function(e){return e===t}).length;if(1!==e)throw new d('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(at))},ut=0,ct=at;ut<ct.length;ut++)st(ct[ut]);return r.outboundNodes=[],r.inboundNodes=[],new fe({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(t){return null}),outputMasks:r.outputs.map(function(t){return null}),inputShapes:r.inputs.map(function(t){return t.shape}),outputShapes:r.outputs.map(function(t){return t.shape})}),r.built=!0,r._refCount=1,r}return o(e,t),e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){this.assertNotDisposed();var t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var e=0,n=this.layers;e<n.length;e++){var r=n[e];t.numDisposedVariables+=r.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t},Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.layers.forEach(function(e){e._trainableWeights.forEach(function(e){return e.trainable=t})}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new h("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t=t.concat(r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],o=0,a=this.layers;o<a.length;o++)r=a[o],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n={},r=0,i=0,o=this.layers;i<o.length;i++)for(var a=0,s=o[i].weights;a<s.length;a++){var u=s[a];if(null!=n[u.originalName])throw new h("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var c=[];for(var l in t){if(null!=n[l])c.push([n[l],t[l]]);else if(e)throw new h("Provided weight data has no target variable: "+l);delete n[l]}if(e){var f=[];for(var d in n)f.push(d);if(f.length>0)throw new h(f.length+" of "+r+" weights are not set: "+f)}ae(c)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.2.2",e.backend="TensorFlow.js",e},e.prototype.toJSON=function(t,e){void 0===e&&(e=!0);var n=function t(e,n){if(null===e||void 0===e)return null;if("string"==typeof e)return x(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var r=[],i=e.length,o=0;o<i;++o){var a=e[o];Ye(n,o,a)?r.push(a):r.push(t(a,n))}return r}for(var s={},u=0,c=Object.keys(e);u<c.length;u++){var l=c[u],f=e[l];s[x(l)]="name"!==l&&"className"!==l||"string"!=typeof f?t(f,l):f}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){t=w(t);for(var r=new Ze,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return en(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return Object(r.tidy)(function(){var r;return t=w(t),r=null==e?g(null,t.length):w(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=Qt(t);if(e.length!==this.inputLayers.length)throw new h("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var i=this.inputLayers[r],o=e[r];n[A=i.name+"_0_0"]=o}var a=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(O);if(a.length>1)for(var s=0,u=a;s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){var d=f[l];if(i=d.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var p=[],m=0;m<d.inboundLayers.length;m++){var g=d.inboundLayers[m],b=d.nodeIndices[m],w=d.tensorIndices[m],x=n[A=g.name+"_"+b+"_"+w];p.push(x)}var _=Qt(i.computeOutputShape(y(p))),k=i.inboundNodes.indexOf(d);for(m=0;m<_.length;m++)n[A=i.name+"_"+k+"_"+m]=_[m]}}var S=[],E=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],k=this.outputLayersNodeIndices[r],w=this.outputLayersTensorIndices[r];var A=i.name+"_"+k+"_"+w;E.push(A)}for(r=0;r<E.length;r++){var C=E[r];v(C in n),S.push(n[C])}return y(S)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=g(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],o=t[r],a=e[r];n[i.id]=[o,a]}for(var s=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(O);s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){for(var d=f[l],h=d.outboundLayer,m=d.inputTensors,b=d.outputTensors,y=new Array,x=0,_=m;x<_.length;x++)(i=_[x]).id in n&&y.push(n[i.id]);if(y.length===m.length){var k={},S=void 0,E=void 0,A=void 0,C=void 0;if(null!=d.callArgs&&(k=d.callArgs),1===y.length){var M=y[0],N=M[0],T=M[1];null==k.mask&&(k.mask=T),A=w(h.call(N,k)),C=w(h.computeMask(N,T)),S=[N],E=[T]}else S=y.map(function(t){return t[0]}),E=y.map(function(t){return t[1]}),null==k.mask&&(k.mask=E),A=w(h.call(S,k)),C=w(h.computeMask(S,E));if(h.activityRegularizer)throw new p("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<b.length;++r)i=b[r],o=A[r],a=C[r],n[i.id]=[o,a]}}for(var I=[],D=[],j=[],R=0,F=this.outputs;R<F.length;R++){v((i=F[R]).id in n,"Could not compute output "+i.name+" : "+i.id);var P=n[i.id],z=P[0];a=P[1],j.push(z.shape),I.push(z),D.push(a)}return[I,D,j]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},i=0,o=this.layers;i<o.length;i++){var a=o[i];n=a instanceof e?1:0;for(var s=0;s<a.inboundNodes.length;s++){var u=e.nodeKey(a,s);this.containerNodes.has(u)&&(r[u]=n,n+=1)}}return r},e.prototype.getLayer=function(t,e){if(null!=e){if(this.layers.length<=e)throw new h("Was asked to retrieve layer at index "+e+", but model only has "+this.layers.length+" layer(s).");return this.layers[e]}if(null==t)throw new h("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===t)return i}throw new h("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return Object(r.tidy)(function(){for(var n=[],r=0,i=t.layers;r<i.length;r++)for(var o=i[r],a=0;a<o.inboundNodes.length;++a){var s=e.nodeKey(o,a);t.containerNodes.has(s)&&n.push.apply(n,o.calculateLosses())}return n})},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,o=this.layers;i<o.length;i++){for(var a=(w=o[i]).getClassName(),s=w.getConfig(),u=[],c=0;c<w.inboundNodes.length;c++){var l=w.inboundNodes[c],f=e.nodeKey(w,c),d={};if(this.containerNodes.has(f)){if(l.callArgs)try{JSON.stringify(l.callArgs),d=l.callArgs}catch(t){console.warn("Layer "+w.name+" was passed non-serializable keyword arguments: "+l.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),d={}}if(l.inboundLayers.length>0){for(var h=[],p=0;p<l.inboundLayers.length;p++){var m=l.inboundLayers[p],g=l.nodeIndices[p],v=l.tensorIndices[p];null==(_=n[e.nodeKey(m,g)])&&(_=0),h.push([m.name,_,v,d])}u.push(h)}}}var b={};b.name=w.name,b.className=a,b.config=s,b.inboundNodes=u,r.push(b)}t.layers=r;var y=[];for(p=0;p<this.inputLayers.length;p++){var w=this.inputLayers[p];g=this.inputLayersNodeIndices[p],f=e.nodeKey(w,g),this.containerNodes.has(f)&&(null!==(_=n[f])&&void 0!==_||(_=0),v=this.inputLayersTensorIndices[p],y.push([w.name,_,v]))}t.inputLayers=y;var x=[];for(p=0;p<this.outputLayers.length;p++){var _;w=this.outputLayers[p],g=this.outputLayersNodeIndices[p],f=e.nodeKey(w,g),this.containerNodes.has(f)&&(null!==(_=n[f])&&void 0!==_||(_=0),v=this.outputLayersTensorIndices[p],x.push([w.name,_,v]))}return t.outputLayers=x,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},o={};function a(t,e){t.name in o?o[t.name].push(e):o[t.name]=[e]}function s(t,e){for(var n,r=[],o=0,s=e;o<s.length;o++){var u=s[o],c=u[0],l=u[1],f=u[2];if(n=null==u[3]?{}:u[3],!(c in i))return void a(t,e);var d=i[c];if(d.inboundNodes.length<=l)return void a(t,e);var h=d.inboundNodes[l];r.push(h.outputTensors[f])}r.length>0&&t.apply(y(r),n)}function u(t){var n=t.name,o=Xe(t,null!=e.customObjects?e.customObjects:{});o.setFastWeightInitDuringBuild(r),i[n]=o,t.inboundNodes.forEach(function(t){if(!(t instanceof Array))throw new h("Corrupted configuration, expected array for nodeData: "+t);a(o,t)})}for(var c=e.name,l=e.layers,f=0,d=l;f<d.length;f++)u(g=d[f]);for(;!C(o);)for(var p=0,m=l;p<m.length;p++){var g=m[p];if((D=i[g.name]).name in o){var b=o[D.name];delete o[D.name];for(var w=0,x=b;w<x.length;w++)s(D,x[w])}}for(var _=[],k=[],S=0,E=e.inputLayers;S<E.length;S++){var O=(g=E[S])[0],A=g[1],M=g[2];v(O in i);var N=(D=i[O]).inboundNodes[A].outputTensors;_.push(N[M])}for(var T=0,I=e.outputLayers;T<I.length;T++){var D;O=(g=I[T])[0],A=g[1],M=g[2],v(O in i),N=(D=i[O]).inboundNodes[A].outputTensors,k.push(N[M])}return new t({inputs:_,outputs:k,name:c})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new h("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var t=0,e=this.layers;t<e.length;t++)if(e[t].stateful)return!0;return!1},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){var t=this;Object(r.tidy)(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(he));r.serialization.registerClass(wn);var xn=function(t){function e(e){var n=t.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},n.trainable=!0,n.built=!1,n.name=null!=e.name?e.name:Jt("sequential_"),null!=e.layers)for(var r=0,i=e.layers;r<i.length;r++){var o=i[r];n.add(o)}return n}return o(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new h("Negative dimension size caused by adding layer "+t.name+" with input shape ["+t.inboundNodes[0].inputTensors[0].shape+"]")},e.prototype.add=function(t){var n,r=t instanceof e||t instanceof wn;if(r){if(1!==(n=t).outputs.length)throw new h("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new h("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===t.inboundNodes.length){if(null==t.batchInputShape)throw new h("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=me({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new h("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+t.name+" which has "+t.inboundNodes.length+" pre-existing inbound connections.");if(1!==t.inboundNodes[0].outputTensors.length)throw new h("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];var i=n.inboundNodes[r];if(0===i.inboundLayers.length)return i.inputTensors;for(var o=[],a=0;a<i.inboundLayers.length;a++)for(var s=0,u=t(i.inputTensors[a],i.inboundLayers[a],i.nodeIndices[a]);s<u.length;s++){var c=u[s];-1===o.indexOf(c)&&o.push(c)}return o}(this.outputs[0])}this.inboundNodes=[],new fe({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:g(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1},e.prototype.pop=function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},e.prototype.call=function(t,e){return null==this.model&&this.build(),this.model.call(t,e)},e.prototype.build=function(t){if(ee(t),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new wn({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},e.prototype.countParams=function(){return this.built||this.build(),t.prototype.countParams.call(this)},e.prototype.summary=function(e,n,r){void 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null==this.model&&this.build(),this.model.predictOnBatch(t)},e.prototype.compile=function(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},Object.defineProperty(e.prototype,"optimizer",{get:function(){return this.model.optimizer},set:function(t){this.model.optimizer=t},enumerable:!0,configurable:!0}),e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),u(this,void 0,void 0,function(){return c(this,function(r){if(!this.built)throw new d("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return u(this,void 0,void 0,function(){return c(this,function(n){if(!this.built)throw new d("The model needs to be compiled before being 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Object.assign(e,n),e},e.className="LeakyReLU",e}(he);r.serialization.registerClass(Yn);var Jn=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),n.supportsMasking=!0,n.alphaInitializer=$t(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=Kn(e.alphaRegularizer),n.alphaConstraint=U(e.alphaConstraint),null==e.sharedAxes)n.sharedAxes=null;else if(Array.isArray(e.sharedAxes))n.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new h("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return o(e,t),e.prototype.build=function(t){var e=(t=ee(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(o=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var o=1;o<t.length;++o)i[o]=t[o];this.inputSpec=[new ue({ndim:t.length,axes:i})],this.built=!0},e.prototype.call=function(t,e){return t=te(t),Object(r.prelu)(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:Ht(this.alphaInitializer),alphaRegularizer:$n(this.alphaRegularizer),alphaConstraint:L(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(he);r.serialization.registerClass(Jn);var Zn=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==n.DEFAULT_ALPHA)throw new p("Non-default alpha value ("+e.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return o(e,t),e.prototype.call=function(t,e){var n=te(t);return Object(r.elu)(n)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var 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Found "+t[n]);var r=t[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,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:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e;t=te(t);var i=null==n.bias?null:n.bias.read();if(1===n.rank)e=function(t,e,n,i,o,a,s){return void 0===i&&(i=1),void 0===o&&(o="valid"),void 0===s&&(s=1),Object(r.tidy)(function(){if(null==a&&(a="channelsLast"),K(a),3!==t.shape.length)throw new h("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new h("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new h("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===a&&(t=Object(r.transpose)(t,[0,2,1])),"causal"===o)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var u=Object(r.conv1d)(t,e,i,"same"===o?"same":"valid","NWC",s);return null!=n&&(u=_t(u,n)),u})}(t,n.kernel.read(),i,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=function(t,e,n,i,o,a,s){return void 0===i&&(i=[1,1]),void 0===o&&(o="valid"),Object(r.tidy)(function(){if(null==a&&(a="channelsLast"),K(a),3!==t.rank&&4!==t.rank)throw new h("conv2dWithBias expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new h("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+t.rank+".");var u=ir(t,a);if("causal"===o)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Object(r.conv2d)(u,e,i,"same"===o?"same":"valid","NHWC",s),null!=n&&(u=_t(u,n)),"channelsFirst"===a&&(u=Object(r.transpose)(u,[0,3,1,2])),u})}(t,n.kernel.read(),i,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new p("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,i,o,a,s){return void 0===i&&(i=[1,1,1]),void 0===o&&(o="valid"),Object(r.tidy)(function(){if(null==a&&(a="channelsLast"),K(a),4!==t.rank&&5!==t.rank)throw new h("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new h("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var u=function(t,e){return Object(r.tidy)(function(){return K(e),"channelsFirst"===e?Object(r.transpose)(t,[0,2,3,4,1]):t})}(t,a);if("causal"===o)throw new p("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return u=Object(r.conv3d)(u,e,i,"same"===o?"same":"valid","NDHWC",s),null!=n&&(u=_t(u,n)),"channelsFirst"===a&&(u=Object(r.transpose)(u,[0,4,1,2,3])),u})}(t,n.kernel.read(),i,n.strides,n.padding,n.dataFormat,n.dilationRate)}return null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ee(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var i=nr(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(i)}var o=[t[0]];return"channelsLast"===this.dataFormat?(o=o.concat(e)).push(this.filters):(o.push(this.filters),o=o.concat(e)),o},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:Ht(this.kernelInitializer),kernelRegularizer:$n(this.kernelRegularizer),kernelConstraint:L(this.kernelConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.verifyArgs=function(t){if(!("filters"in t)||"number"!=typeof t.filters||t.filters<1)throw new h("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(or),sr=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return o(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!N(t.kernelSize,"number",1,2))throw new h("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(ar);r.serialization.registerClass(sr);var ur=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return o(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&(!Array.isArray(t.kernelSize)||1!==t.kernelSize.length&&3!==t.kernelSize.length))throw new h("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(ar);r.serialization.registerClass(ur);var cr=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new ue({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new h("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return o(e,t),e.prototype.build=function(t){var e;if(4!==(t=ee(t)).length)throw new h("Input should have rank 4; Received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new h("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"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 ue({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=te(t);if(4!==e.shape.length)throw new h("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var i,o,a=e.shape,s=a[0];"channelsFirst"===n.dataFormat?(i=2,o=3):(i=1,o=2);var u=a[i],c=a[o],l=n.kernelSize[0],f=n.kernelSize[1],d=n.strides[0],p=n.strides[1],m=[s,rr(u,d,l,n.padding),rr(c,p,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Object(r.transpose)(e,[0,2,3,1]));var g=Object(r.conv2dTranspose)(e,n.kernel.read(),m,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(g=Object(r.transpose)(g,[0,3,1,2])),null!=n.bias&&(g=_t(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=ee(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var o=this.kernelSize[0],a=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return i[e]=this.filters,i[n]=rr(i[n],s,o,this.padding),i[r]=rr(i[r],u,a,this.padding),i},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(sr);r.serialization.registerClass(cr);var lr=function(t){function e(e){return t.call(this,2,e)||this}return o(e,t),e.className="SeparableConv2D",e}(function(t){function e(e,n){var r=t.call(this,e,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new h("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new h("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new h("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=$t(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Kn(n.depthwiseRegularizer),r.depthwiseConstraint=U(n.depthwiseConstraint),r.pointwiseInitializer=$t(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Kn(n.pointwiseRegularizer),r.pointwiseConstraint=U(n.pointwiseConstraint),r}return o(e,t),e.prototype.build=function(t){var e;if((t=ee(t)).length<this.rank+2)throw new h("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n]||t[n]<0)throw new h("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],i=this.kernelSize.concat([r,this.depthMultiplier]),o=[],a=0;a<this.rank;++a)o.push(1);o.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new ue({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e;if(t=te(t),1===n.rank)throw new p("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Object(r.transpose)(t,[0,2,3,1])),e=Object(r.separableConv2d)(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=_t(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Object(r.transpose)(e,[0,3,1,2])),e})},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Ht(this.depthwiseInitializer),e.pointwiseInitializer=Ht(this.pointwiseInitializer),e.depthwiseRegularizer=$n(this.depthwiseRegularizer),e.pointwiseRegularizer=$n(this.pointwiseRegularizer),e.depthwiseConstraint=L(this.depthwiseConstraint),e.pointwiseConstraint=L(this.pointwiseConstraint),e},e.className="SeparableConv",e}(ar));r.serialization.registerClass(lr);var fr=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return o(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!N(t.kernelSize,"number",1,1))throw new h("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(ar);r.serialization.registerClass(fr);var dr=function(t){function e(e){var n=t.call(this,e)||this;return"number"==typeof e.cropping?n.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?n.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:n.cropping=e.cropping,n.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,n.inputSpec=[{ndim:4}],n}return o(e,t),e.prototype.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return t=te(t),"channelsLast"===n.dataFormat?ht(ht(t,n.cropping[0][0],t.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],t.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ht(ht(t,n.cropping[0][0],t.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],t.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},e.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Cropping2D",e}(he);r.serialization.registerClass(dr);var hr=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==e.size?n.DEFAULT_SIZE:e.size,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,n}return o(e,t),e.prototype.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}return e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2],[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=te(t),i=e.shape;if("channelsFirst"===n.dataFormat){e=Object(r.transpose)(e,[0,2,3,1]);var o=n.size[0]*i[2],a=n.size[1]*i[3],s=e.resizeNearestNeighbor([o,a]);return Object(r.transpose)(s,[0,3,1,2])}return o=n.size[0]*i[1],a=n.size[1]*i[2],e.resizeNearestNeighbor([o,a])})},e.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="UpSampling2D",e}(he);r.serialization.registerClass(hr);var pr=function(t){function e(e){var n=t.call(this,2,e)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,n.depthwiseInitializer=$t(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=U(e.depthwiseConstraint),n.depthwiseRegularizer=Kn(e.depthwiseRegularizer),n}return o(e,t),e.prototype.build=function(t){if((t=ee(t)).length<4)throw new h("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(t)+".");var e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new h("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],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},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=function(t,e,n,i,o,a){return void 0===n&&(n=[1,1]),void 0===i&&(i="valid"),Object(r.tidy)(function(){null==o&&(o="channelsLast"),K(o);var a=ir(t,o);if(4!==t.rank)throw new h("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new h("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return a=Object(r.depthwiseConv2d)(a,e,n,"same"===i?"same":"valid","NHWC",null),"channelsFirst"===o&&(a=Object(r.transpose)(a,[0,3,1,2])),a})}(t=te(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(e=_t(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ee(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=nr(e,this.kernelSize[0],this.padding,this.strides[0]),o=nr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,o]:[t[0],i,o,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Ht(this.depthwiseInitializer),e.depthwiseRegularizer=$n(this.depthwiseRegularizer),e.depthwiseConstraint=L(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(or);r.serialization.registerClass(pr);var mr=function(t){function e(e){var n=t.call(this,e)||this;if(n.rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,null!=n.seed)throw new p("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return o(e,t),e.prototype.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var i=te(t);if(null!=n.noiseShape&&!r.util.arraysEqual(i.shape,n.noiseShape))throw new p("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var o=null!=e.training&&e.training,a=n.getNoiseShape(i);return St(function(){return kt(i,n.rate,a,n.seed)},function(){return i},o)}return t})},e.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.dispose=function(){return t.prototype.dispose.call(this)},e.className="Dropout",e}(he);r.serialization.registerClass(mr);var gr=function(t){function e(e){var n=t.call(this,e)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var r=null;null!=e.batchSize&&(r=e.batchSize),n.batchInputShape=[r,e.inputDim]}return n.units=e.units,T(n.units,"units"),n.activation=Wn(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=$t(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=$t(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=U(e.kernelConstraint),n.biasConstraint=U(e.biasConstraint),n.kernelRegularizer=Kn(e.kernelRegularizer),n.biasRegularizer=Kn(e.biasRegularizer),n.activityRegularizer=Kn(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return o(e,t),e.prototype.build=function(t){var e,n=(t=ee(t))[t.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(e={},e[-1]=n,e)}],this.built=!0},e.prototype.computeOutputShape=function(t){var e=(t=ee(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r,i=te(t),o=function(t){return"relu"===t?"relu":"linear"===t?"linear":null}(n.activation.getClassName());return null!=o?r=bt(i,n.kernel.read(),o,n.bias?n.bias.read():null):(r=bt(i,n.kernel.read()),null!=n.bias&&(r=_t(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),biasInitializer:Ht(this.biasInitializer),kernelRegularizer:$n(this.kernelRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),biasConstraint:L(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(he);r.serialization.registerClass(gr);var vr=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return o(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=ee(t)).slice(1);e<n.length;e++)if(null==n[e])throw new h('The shape of the input to "Flatten" is not fully defined (got '+t.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[t[0],it(t,1)]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new h("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],it(t.shape,1)];return t.reshape(e)}(te(t))})},e.className="Flatten",e}(he);r.serialization.registerClass(vr);var br=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=Wn(e.activation),n}return o(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=te(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:Bn(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(he);r.serialization.registerClass(br);var yr=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return o(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return function(t,e){return Object(r.tidy)(function(){if(2!==t.shape.length)throw new h("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return gt(lt(t,1),[1,e,1])})}(t=te(t),n.n)})},e.prototype.getConfig=function(){var e={n:this.n},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="RepeatVector",e}(he);r.serialization.registerClass(yr);var wr=function(t){function e(e){var n=t.call(this,e)||this;n.targetShape=e.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return o(e,t),e.prototype.isUnknown=function(t){return t<0||null==t},e.prototype.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),i=1,o=null,a=0;a<r.length;++a){var s=r[a];if(this.isUnknown(s)){if(null!==o)throw new h("Can only specifiy one unknown dimension.");o=a}else i*=s}var u=it(t);if(null!==o){if(0===i||u%i!=0)throw new h(n);r[o]=u/i}else if(u!==i)throw new h(n);return r},e.prototype.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=te(t),i=r.shape,o=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(o)})},e.prototype.getConfig=function(){var e={targetShape:this.targetShape},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Reshape",e}(he);r.serialization.registerClass(wr);var xr=function(t){function e(e){var n=t.call(this,e)||this;if(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 "+e.dims+" instead.");var i=ut(1,e.dims.length+1);if(!r.util.arraysEqual(e.dims.slice().sort(),i))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new ue({ndim:n.dims.length+1})],n}return o(e,t),e.prototype.computeOutputShape=function(t){var e=(t=ee(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return Object(r.transpose)(te(t),this.dimsIncludingBatch)},e.prototype.getConfig=function(){var e={dims:this.dims},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Permute",e}(he);r.serialization.registerClass(xr);var _r=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,n.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,n}return o(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,e),n},e.prototype.computeMask=function(t,e){var n=te(t);return Object(r.any)(Object(r.notEqual)(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var i=te(t),o=Object(r.any)(Object(r.notEqual)(i,n.maskValue),-1,!0);return i.mul(o.asType(i.dtype))})},e.className="Masking",e}(he);r.serialization.registerClass(_r);var kr=function(t){function e(e){var n=t.call(this,e)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var r=null;null!=e.batchSize&&(r=e.batchSize),null==e.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(w(e.inputLength))}return n.inputDim=e.inputDim,T(n.inputDim,"inputDim"),n.outputDim=e.outputDim,T(n.outputDim,"outputDim"),n.embeddingsInitializer=$t(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Kn(e.embeddingsRegularizer),n.activityRegularizer=Kn(e.activityRegularizer),n.embeddingsConstraint=U(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return o(e,t),e.prototype.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},e.prototype.warnOnIncompatibleInputShape=function(t){},e.prototype.computeMask=function(t,e){var n=this;return Object(r.tidy)(function(){return n.maskZero?(t=te(t),Object(r.notEqual)(t,Object(r.zerosLike)(t))):null})},e.prototype.computeOutputShape=function(t){if(t=ee(t),null==this.inputLength)return t.concat([this.outputDim]);var e=w(this.inputLength);if(e.length!==t.length-1)throw new h('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var i=e[r],o=t[r+1];if(null!=i&&null!=o&&i!==o)throw new h('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==i&&(e[n]=o),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=te(t);return"int32"!==r.dtype&&(r=ct(r,"int32")),yt(n.embeddings.read(),r.as1D()).reshape(ee(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Ht(this.embeddingsInitializer),embeddingsRegularizer:$n(this.embeddingsRegularizer),activityRegularizer:$n(this.activityRegularizer),embeddingsConstraint:L(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(he);r.serialization.registerClass(kr);var Sr=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return o(e,t),e.prototype.mergeFunction=function(t){throw new p},e.prototype.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var i=t[t.length-e.length+r],o=e[r];if(null==i||null==o||i<0||o<0)n.push(null);else if(1===i)n.push(o);else if(1===o)n.push(i);else{if(i!==o)throw new h("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(i)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[ee(t)]),(t=t).length<2)throw new h("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e=[],n=0,r=t;n<r.length;n++)null!=(a=r[n])&&null!==a[0]&&e.push(a[0]);if((e=A(e)).length>1)throw new h("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var i=null==t[0]?null:t[0].slice(1),o=1;o<t.length;++o){var a=null==t[o]?null:t[o].slice(1);i=this.computeElementwiseOpOutputShape(i,a)}var s=t.map(function(t){return t.length});-1===t.indexOf(null)&&1===A(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){if(t=t,n.reshapeRequired){var e=[],i=t.map(function(t){return t.rank});if(-1===i.indexOf(null)){for(var o=st(i),a=0,s=t;a<s.length;a++){for(var u=(h=s[a]).rank,c=0;c<o-u;++c)h=lt(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,f=0,d=t;f<d.length;f++){var h;if(null==(u=(h=d[f]).rank)){var p=h.shape,m=p[0],g=p.slice(1).concat([m]),v=h.reshape([m].concat(it(p.slice(1))));v=(v=Object(r.transpose)(v,[1,0])).reshape(g),e.push(v),l=!0}else if(u>1){var b=ut(1,u).concat([0]);e.push(Object(r.transpose)(h,b)),l=!0}else e.push(h)}var y=n.mergeFunction(e),w=y.rank;if(l)if(null==w){var x=y.shape;g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),y=Object(r.transpose)(y.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(b=[w-1].concat(ut(0,w-1)),y=Object(r.transpose)(y,b));return y}return n.mergeFunction(t)})},e.prototype.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var i=[],o=0,a=t;o<a.length;o++)null!=(r=a[o])&&null!==r[0]&&i.push(r[0]);return 1===(i=A(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return Object(r.tidy)(function(){if(null==e)return null;if(!Array.isArray(e))throw new h("`mask` should be an Array");if(!Array.isArray(t))throw new h("`inputs` should be an Array");if(e.length!==t.length)throw new h("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+t.length+" vs "+e.length+")");if(e.every(function(t){return null==t}))return null;for(var n=(e=e.map(function(t){return null==t?t:Object(r.expandDims)(t,0)}))[0],i=1;i<e.length-1;++i)n=Object(r.logicalAnd)(n,e[i]);return n})},e}(he),Er=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.add)(e,t[n]);return e})},e.className="Add",e}(Sr);r.serialization.registerClass(Er);var Or=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.mul)(e,t[n]);return e})},e.className="Multiply",e}(Sr);r.serialization.registerClass(Or);var Ar=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Object(r.add)(e,t[n]);return Object(r.mul)(1/t.length,e)})},e.className="Average",e}(Sr);r.serialization.registerClass(Ar);var Cr=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0],n=1;n<t.length;++n)e=Object(r.maximum)(e,t[n]);return e})},e.className="Maximum",e}(Sr);r.serialization.registerClass(Cr);var Mr=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.mergeFunction=function(t){return Object(r.tidy)(function(){for(var e=t[0],n=1;n<t.length;++n)e=Object(r.minimum)(e,t[n]);return e})},e.className="Minimum",e}(Sr);r.serialization.registerClass(Mr);var Nr=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_AXIS=-1,null==e&&(e={}),n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return o(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new h("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,i=t=t;n<i.length;n++)if(null!=(f=i[n])){e=!1;break}if(!e){for(var o=[],a=0;a<t.length;++a){var s=t[a].slice();s.splice(this.axis,1);for(var u=!1,c=0,l=o;c<l.length;c++){var f=l[c];if(r.util.arraysEqual(f,s)){u=!0;break}}u||o.push(s)}if(o.length>1)throw new h("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}},e.prototype.mergeFunction=function(t){var e=this;return Object(r.tidy)(function(){return pt(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new h("A `Concatenate` layer should be called on a list of inputs.");for(var e=t,n=e[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,o=e.slice(1);i<o.length;i++){var a=o[i];if(null==n[r]||null==a[r]){n[r]=null;break}n[r]+=a[r]}return n},e.prototype.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new h("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new h("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new h("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return Object(r.tidy)(function(){var i=!0;if(e.forEach(function(t){null==t||(i=!1)}),i)return null;for(var o=[],a=0;a<t.length;++a)null==e[a]?o.push(Object(r.onesLike)(t[a]).asType("bool")):e[a].rank<t[a].rank?o.push(Object(r.expandDims)(e[a],-1)):o.push(e[a]);var s=Object(r.concat)(o,n.axis);return Object(r.all)(s,-1,!1)})},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Concatenate",e}(Sr);function Tr(t,e){for(;t<0;)t+=e;return t}r.serialization.registerClass(Nr);var Ir=function(t){function e(e){var n=t.call(this,e)||this;return n.axes=e.axes,n.normalize=null!=e.normalize&&e.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return o(e,t),e.prototype.build=function(t){r.util.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0],n=t[1];if(e.length>3||n.length>3)throw new p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(e,n);if(e[i[0]]!==n[i[1]])throw new h("Dimension incompatibility: "+e[i[0]]+" !== "+n[i[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new h("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],i=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return Tr(e,t[n].shape.length)}):[Tr(this.axes,n.shape.length),Tr(this.axes,i.shape.length)],this.normalize&&(n=Ae(n,e[0]),i=Ae(i,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new p("batchDot is not implemented for tensors of 4D or higher rank yet");if(r.util.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),r.util.assert(t.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length}),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new p("batchDot is not implemented for complex64-type Tensors yet.");var i=t.shape.length,o=e.shape.length;null==n&&(n=[i-1,o-2]);var a=n;return Object(r.tidy)(function(){var n,r;if(i>o){n=i-o;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(o>i){for(n=o-i,s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else n=0;if(2===t.shape.length&&2===e.shape.length)r=a[0]===a[1]?t.mulStrict(e).sum(a[0]):t.transpose([1,0]).mulStrict(e).sum(a[1]);else{var c=a[0]!==t.shape.length-1,l=a[1]===e.shape.length-1;r=t.matMul(e,c,l)}if(n>0){var f,d=[];for(u=f=i>o?i+o-3:i-1;u<f+n;++u)d.push(u);r=r.squeeze(d)}return 1===r.shape.length&&(r=r.expandDims(1)),r})}(n,i,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[Tr(this.axes,t.length),Tr(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){r.util.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(e,n);e.splice(i[0],1),n.splice(i[1],1),n.splice(0,1);var o=e.concat(n);return 1===o.length&&o.push(1),o},e.prototype.computeMask=function(t,e){return null},e.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dot",e}(Sr);r.serialization.registerClass(Ir);var Dr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return o(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=te(t);return St(function(){return vt(r.shape,0,n.stddev).add(r)},function(){return r},e.training||!1)})},e.className="GaussianNoise",e}(he);r.serialization.registerClass(Dr);var jr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return o(e,t),e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e);var r=te(t);return n.rate>0&&n.rate<1?St(function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(vt(r.shape,1,t))},function(){return r},e.training||!1):r})},e.className="GaussianDropout",e}(he);r.serialization.registerClass(jr);var Rr=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n.noiseShape=e.noiseShape,n}return o(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||te(t).shape},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){if(n.rate<1&&n.rate>0){var i=n._getNoiseShape(t);return St(function(){var e=te(t),o=-1.7580993408473766,a=Object(r.greaterEqual)(Object(r.randomUniform)(i),n.rate);a=ct(a,"float32");var s=Math.pow((1-n.rate)*(1+n.rate*Math.pow(o,2)),-.5),u=-s*o*n.rate;return e.mul(a).add(a.add(-1).mul(o)).mul(s).add(u)},function(){return te(t)},e.training||!1)}return t})},e.className="AlphaDropout",e}(he);function Fr(t,e,n,i,o,a){var s;if(void 0===a&&(a=.001),2===t.rank)s=Object(r.batchNorm2d)(t,e,n,i,o,a);else if(3===t.rank)s=Object(r.batchNorm3d)(t,e,n,i,o,a);else{if(4!==t.rank)throw new p("batchNormalization is not implemented for array of rank "+t.rank+" yet");s=Object(r.batchNorm4d)(t,e,n,i,o,a)}return s}r.serialization.registerClass(Rr);var Pr=function(t){function e(e){var n=this;return null==e&&(e={}),(n=t.call(this,e)||this).supportsMasking=!0,n.axis=null==e.axis?-1:e.axis,n.momentum=null==e.momentum?.99:e.momentum,n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=$t(e.betaInitializer||"zeros"),n.gammaInitializer=$t(e.gammaInitializer||"ones"),n.movingMeanInitializer=$t(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=$t(e.movingVarianceInitializer||"ones"),n.betaConstraint=U(e.betaConstraint),n.gammaConstraint=U(e.gammaConstraint),n.betaRegularizer=Kn(e.betaRegularizer),n.gammaRegularizer=Kn(e.gammaRegularizer),n}return o(e,t),e.prototype.build=function(t){var e;t=ee(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new h("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new ue({ndim:t.length,axes:(e={},e[n]=r,e)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var i=null!=e.training&&e.training,o=te(t),a=o.shape,s=a.length,u=ut(0,s),c=n.axis>=0?n.axis:n.axis+s;u.splice(c,1);var l=g(1,s);l[c]=a[c];var f=u.slice();f.sort();var d=!r.util.arraysEqual(f,ut(0,s).slice(0,s-1));if(!i)return function(){if(d){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return Fr(o,t,e,r,i,n.epsilon)}return Fr(o,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(t,e,n,i,o){return void 0===o&&(o=.001),r.util.arraysEqual(i.slice().sort(),ut(0,t.rank-1))?function(t,e,n,i,o){return void 0===o&&(o=.001),Object(r.tidy)(function(){var a=Object(r.moments)(t,i),s=a.mean,u=a.variance;return[Fr(t,s,u,n,e,o),s,u]})}(t,e,n,i,o):function(t,e,n,i,o){return void 0===o&&(o=.001),Object(r.tidy)(function(){for(var a=Object(r.moments)(t,i),s=a.mean,u=a.variance,c=[],l=0,f=ut(0,t.rank);l<f.length;l++){var d=f[l];-1!==i.indexOf(d)?c.push(1):c.push(t.shape[d])}var h=s.reshape(c),p=u.reshape(c),m=null==e?null:e.reshape(c),g=null==n?null:n.reshape(c);return[Fr(t,h,p,g,m,o),s,u]})}(t,e,n,i,o)}(o,n.gamma.read(),n.beta.read(),u,n.epsilon),p=h[0],m=h[1],v=h[2],b=function(t,e,n){Object(r.tidy)(function(){var r=1-n,i=t.read(),o=i.sub(e).mul(r);t.write(i.sub(o))})};return b(n.movingMean,m,n.momentum),b(n.movingVariance,v,n.momentum),p})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Ht(this.betaInitializer),gammaInitializer:Ht(this.gammaInitializer),movingMeanInitializer:Ht(this.movingMeanInitializer),movingVarianceInitializer:Ht(this.movingVarianceInitializer),betaRegularizer:$n(this.betaRegularizer),gammaRegularizer:$n(this.gammaRegularizer),betaConstraint:L(this.betaConstraint),gammaConstraint:L(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(he);r.serialization.registerClass(Pr);var zr=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)n.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new h("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof e.padding[0])r=[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 h("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+e.padding[0].length+" array.");if(r=e.padding[0],2!==e.padding[1].length)throw new h("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");i=e.padding[1]}n.padding=[r,i]}return n.inputSpec=[new ue({ndim:4})],n}return o(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=ee(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return function(t,e,n){return Object(r.tidy)(function(){if(4!==t.rank)throw new h("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==e&&(e=[[1,1],[1,1]]),2!==e.length||2!==e[0].length||2!==e[1].length)throw new h("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new h("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var i;return i="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],Object(r.pad)(t,i)})}(te(t),n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ZeroPadding2D",e}(he);function Lr(t,e,n,i,o,a){return Object(r.tidy)(function(){var s;K(o),M(H,"PoolMode",a),X(i),null==n&&(n=[1,1]),null==i&&(i="valid"),null==o&&(o="channelsLast"),null==a&&(a="max"),t=ir(t,o);var u="same"===i?"same":"valid";return s="max"===a?Object(r.maxPool)(t,e,n,u):Object(r.avgPool)(t,e,n,u),"channelsFirst"===o&&(s=Object(r.transpose)(s,[0,3,1,2])),s})}r.serialization.registerClass(zr);var Br=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=2),n=t.call(this,e)||this,"number"==typeof e.poolSize)n.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new h("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.poolSize));n.poolSize=e.poolSize}if(T(n.poolSize,"poolSize"),null==e.strides)n.strides=n.poolSize;else if("number"==typeof e.strides)n.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new h("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.strides));n.strides=e.strides}return T(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,X(n.padding),n.inputSpec=[new ue({ndim:3})],n}return o(e,t),e.prototype.computeOutputShape=function(t){var e=nr((t=ee(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(t,e),t=lt(te(t),2);var i=n.poolingFunction(te(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.squeeze)(i,[2])})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(he),Ur=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return K(i),X(r),Lr(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(Br);r.serialization.registerClass(Ur);var Wr=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return K(i),X(r),Lr(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(Br);r.serialization.registerClass(Wr);var qr=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new h("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides];return T(n.poolSize,"poolSize"),T(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,K(n.dataFormat),X(n.padding),n.inputSpec=[new ue({ndim:4})],n}return o(e,t),e.prototype.computeOutputShape=function(t){t=ee(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=nr(e,this.poolSize[0],this.padding,this.strides[0]),n=nr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(t,e),n.poolingFunction(te(t),n.poolSize,n.strides,n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(he),Vr=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return K(i),X(r),Lr(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(qr);r.serialization.registerClass(Vr);var Hr=function(t){function e(e){return t.call(this,e)||this}return o(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return K(i),X(r),Lr(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(qr);r.serialization.registerClass(Hr);var $r=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new ue({ndim:3})],n}return o(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new p},e}(he),Gr=function(t){function e(e){return t.call(this,e||{})||this}return o(e,t),e.prototype.call=function(t,e){return Object(r.tidy)(function(){var e=te(t);return Object(r.mean)(e,1)})},e.className="GlobalAveragePooling1D",e}($r);r.serialization.registerClass(Gr);var Kr=function(t){function e(e){return t.call(this,e||{})||this}return o(e,t),e.prototype.call=function(t,e){return Object(r.tidy)(function(){var e=te(t);return Object(r.max)(e,1)})},e.className="GlobalMaxPooling1D",e}($r);r.serialization.registerClass(Kr);var Xr=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,K(n.dataFormat),n.inputSpec=[new ue({ndim:4})],n}return o(e,t),e.prototype.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},e.prototype.call=function(t,e){throw new p},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(he),Yr=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=te(t);return"channelsLast"===n.dataFormat?Object(r.mean)(e,[1,2]):Object(r.mean)(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(Xr);r.serialization.registerClass(Yr);var Jr=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var e=te(t);return"channelsLast"===n.dataFormat?Object(r.max)(e,[1,2]):Object(r.max)(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(Xr);function Zr(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new h("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function Qr(t,e,n,i,o,a,s,u){return void 0===i&&(i=!1),void 0===s&&(s=!1),void 0===u&&(u=!1),Object(r.tidy)(function(){var c=e.shape.length;if(c<3)throw new h("Input should be at least 3D, but is "+c+"D.");var l=[1,0].concat(ut(2,c));if(e=Object(r.transpose)(e,l),null!=a)throw new p("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=o&&((o=o.asType("bool").asType("float32")).rank===c-1&&(o=Object(r.expandDims)(o,-1)),o=Object(r.transpose)(o,l)),i&&(e=Object(r.reverse)(e,0),null!=o&&(o=Object(r.reverse)(o,0)));var f,d,m=[],g=n,v=e.shape[0],b=Object(r.unstack)(e);null!=o&&(d=Object(r.unstack)(o));for(var y,w=function(e){var n=b[e],i=Object(r.tidy)(function(){return t(n,g)});if(null==o)f=i[0],g=i[1];else{var a=Object(r.tidy)(function(){var t=d[e],n=Object(r.onesLike)(t).sub(t);return{output:i[0].mul(t).addStrict(g[0].mul(n)),newStates:g.map(function(e,r){return i[1][r].mul(t).addStrict(e.mul(n))})}});f=a.output,g=a.newStates}u&&m.push(f)},x=0;x<v;++x)w(x);return u&&(y=Object(r.stack)(m,1)),[f,y,g]})}r.serialization.registerClass(Jr);var ti=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new h("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new ui({cells:e.cell}):e.cell).stateSize)throw new h("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,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 ue({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return o(e,t),e.prototype.getStates=function(){return null==this.states_?ut(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(t){return null}):this.states_},e.prototype.setStates=function(t){this.states_=t},e.prototype.computeOutputShape=function(t){Zt(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var i=[],o=0,a=e;o<a.length;o++){var s=a[o];i.push([t[0],s])}return[n].concat(i)}return n},e.prototype.computeMask=function(t,e){var n=this;return Object(r.tidy)(function(){Array.isArray(e)&&(e=e[0]);var t=n.returnSequences?e:null;if(n.returnState){var r=n.states.map(function(t){return null});return[t].concat(r)}return t})},Object.defineProperty(e.prototype,"states",{get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t},enumerable:!0,configurable:!0}),e.prototype.build=function(t){if(null!=this.numConstants)throw new p("Constants support is not implemented in RNN yet.");Zt(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new ue({shape:[e,null,n]});var i,o=[t[0]].concat(t.slice(2));if(this.cell.build(o),i=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.util.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),i))throw new h("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=i.map(function(t){return new ue({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),Object(r.tidy)(function(){if(!n.stateful)throw new f("Cannot call resetStates() on an RNN Layer that is not stateful.");var i=n.inputSpec[0].shape[0];if(null==i)throw new h("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Object(r.zeros)([i,t])}):n.states_=[Object(r.zeros)([i,n.cell.stateSize])];else if(null==t)Object(r.dispose)(n.states_),null!=n.keptStates&&(Object(r.dispose)(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Object(r.zeros)([i,t])}):n.states_[0]=Object(r.zeros)([i,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new h("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+t.length+" state value(s). Input received: "+t);!0===e?n.keptStates.push(n.states_.slice()):Object(r.dispose)(n.states_);for(var o=0;o<n.states_.length;++o){var a=t[o],s=Array.isArray(n.cell.stateSize)?n.cell.stateSize[o]:n.cell.stateSize,u=[i,s];if(!r.util.arraysEqual(a.shape,u))throw new h("State "+o+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+a.shape);n.states_[o]=a}}n.states_=n.states_.map(function(t){return Object(r.keep)(t.clone())})})},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var o=Zr(e,r,i,this.numConstants);e=o.inputs,r=o.initialState,i=o.constants;var a=[],s=[];if(null!=r){n.initialState=r,a=a.concat(r),this.stateSpec=[];for(var u=0,c=r;u<c.length;u++){var l=c[u];this.stateSpec.push(new ue({shape:l.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,a=a.concat(i),this.numConstants=i.length),a[0]instanceof ce){var f=[e].concat(a),d=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=d;var p=t.prototype.apply.call(this,f,n);return this.inputSpec=h,p}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,o=null==e?null:e.initialState;t=te(t),null==o&&(o=n.stateful?n.states_:n.getInitialState(t));var a=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(o.length!==a)throw new h("RNN Layer has "+a+" state(s) but was passed "+o.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:i},u=Qr(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,o,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],f=u[2];n.stateful&&n.resetStates(f,i);var d=n.returnSequences?l:c;return n.returnState?[d].concat(f):d})},e.prototype.getInitialState=function(t){var e=this;return Object(r.tidy)(function(){var n=Object(r.zeros)(t.shape);return n=lt(n=Object(r.sum)(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?gt(n,[1,t]):n}):e.cell.stateSize>1?[gt(n,[1,e.cell.stateSize])]:[n]})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)},e.prototype.getConfig=function(){var e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(e.numConstants=this.numConstants);var n=this.cell.getConfig();e.cell={className:this.cell.getClassName(),config:n};var r=t.prototype.getConfig.call(this);return Object.assign(e,r),e},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=Xe(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(he);r.serialization.registerClass(ti);var ei=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e}(he),ni=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,T(n.units,"units"),n.activation=Wn(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=$t(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=$t(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=$t(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Kn(e.kernelRegularizer),n.recurrentRegularizer=Kn(e.recurrentRegularizer),n.biasRegularizer=Kn(e.biasRegularizer),n.kernelConstraint=U(e.kernelConstraint),n.recurrentConstraint=U(e.recurrentConstraint),n.biasConstraint=U(e.biasConstraint),n.dropout=at([1,st([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=at([1,st([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(e,t),e.prototype.build=function(t){t=ee(t),this.kernel=this.addWeight("kernel",[t[t.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},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){if(2!==(t=t).length)throw new h("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var i=t[1];t=t[0];var o,a=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=ci(function(){return Object(r.onesLike)(t)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=ci(function(){return Object(r.onesLike)(i)},n.recurrentDropout,a));var s=n.dropoutMask,u=n.recurrentDropoutMask;o=bt(null!=s?Object(r.mul)(t,s):t,n.kernel.read()),null!=n.bias&&(o=_t(o,n.bias.read())),null!=u&&(i=Object(r.mul)(i,u));var c=Object(r.add)(o,bt(i,n.recurrentKernel.read()));return null!=n.activation&&(c=n.activation.apply(c)),[c,c]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(ei);r.serialization.registerClass(ni);var ri=function(t){function e(e){return e.cell=new ni(e),t.call(this,e)||this}return o(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var o=null==n?null:n.mask,a=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:o,training:a,initialState:s})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return new t(e)},e.className="SimpleRNN",e}(ti);r.serialization.registerClass(ri);var ii=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,T(n.units,"units"),n.activation=Wn(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Wn(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=$t(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=$t(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=$t(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Kn(e.kernelRegularizer),n.recurrentRegularizer=Kn(e.recurrentRegularizer),n.biasRegularizer=Kn(e.biasRegularizer),n.kernelConstraint=U(e.kernelConstraint),n.recurrentConstraint=U(e.recurrentConstraint),n.biasConstraint=U(e.biasConstraint),n.dropout=at([1,st([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=at([1,st([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(e,t),e.prototype.build=function(t){var e=(t=ee(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,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},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){if(2!==(t=t).length)throw new h("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var i=null!=e.training&&e.training,o=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=ci(function(){return Object(r.onesLike)(t)},n.dropout,i,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=ci(function(){return Object(r.onesLike)(o)},n.recurrentDropout,i,3));var a,s,u,c=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Object(r.mul)(t,c[0]));var f=bt(t,n.kernel.read());n.useBias&&(f=_t(f,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(o=Object(r.mul)(o,l[0]));var d=n.recurrentKernel.read(),p=Object(r.split)(d,[2*n.units,n.units],d.rank-1),m=p[0],g=p[1],v=bt(o,m),b=Object(r.split)(f,3,f.rank-1),y=b[0],w=b[1],x=b[2],_=Object(r.split)(v,2,v.rank-1),k=_[0],S=_[1];a=n.recurrentActivation.apply(Object(r.add)(y,k)),s=n.recurrentActivation.apply(Object(r.add)(w,S));var E=bt(Object(r.mul)(s,o),g);u=n.activation.apply(Object(r.add)(x,E));var O=Object(r.add)(Object(r.mul)(a,o),Object(r.mul)(Object(r.add)(1,Object(r.neg)(a)),u));return[O,O]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="GRUCell",e}(ei);r.serialization.registerClass(ii);var oi=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new ii(e),t.call(this,e)||this}return o(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var o=null==n?null:n.mask,a=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:o,training:a,initialState:s})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="GRU",e}(ti);r.serialization.registerClass(oi);var ai=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,T(n.units,"units"),n.activation=Wn(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Wn(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=$t(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=$t(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=$t(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=Kn(e.kernelRegularizer),n.recurrentRegularizer=Kn(e.recurrentRegularizer),n.biasRegularizer=Kn(e.biasRegularizer),n.kernelConstraint=U(e.kernelConstraint),n.recurrentConstraint=U(e.recurrentConstraint),n.biasConstraint=U(e.biasConstraint),n.dropout=at([1,st([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=at([1,st([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(e,t),e.prototype.build=function(t){var e,n,r=(t=ee(t))[t.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 i=this.biasInitializer,a=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.apply=function(t,e){var n=i.apply([a]),r=(new Mt).apply([a]),o=i.apply([2*a]);return mt(mt(n,r),o)},e}(At)).className="CustomInit",e)}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},e.prototype.call=function(t,e){var n=this;return Object(r.tidy)(function(){var i=null!=e.training&&e.training;if(3!==(t=t).length)throw new h("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var o=t[1],a=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=ci(function(){return Object(r.onesLike)(t)},n.dropout,i,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=ci(function(){return Object(r.onesLike)(o)},n.recurrentDropout,i,4));var s,u,c,l,f=n.dropoutMask,d=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Object(r.mul)(t,f[0]));var p=bt(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(o=Object(r.mul)(o,d[0])),p=Object(r.add)(p,bt(o,n.recurrentKernel.read())),n.useBias&&(p=_t(p,n.bias.read()));var m=Object(r.split)(p,4,p.rank-1),g=m[0],v=m[1],b=m[2],y=m[3];s=n.recurrentActivation.apply(g),u=n.recurrentActivation.apply(v),c=Object(r.add)(Object(r.mul)(u,a),Object(r.mul)(s,n.activation.apply(b))),l=n.recurrentActivation.apply(y);var w=Object(r.mul)(l,n.activation.apply(c));return[w,w,c]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LSTMCell",e}(ei);r.serialization.registerClass(ai);var si=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new ai(e),t.call(this,e)||this}return o(e,t),e.prototype.call=function(e,n){var i=this;return Object(r.tidy)(function(){null!=i.cell.dropoutMask&&(Object(r.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&(Object(r.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var o=null==n?null:n.mask,a=null==n?null:n.training,s=null==n?null:n.initialState;return t.prototype.call.call(i,e,{mask:o,training:a,initialState:s})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Ht(this.kernelInitializer),recurrentInitializer:Ht(this.recurrentInitializer),biasInitializer:Ht(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:$n(this.kernelRegularizer),recurrentRegularizer:$n(this.recurrentRegularizer),biasRegularizer:$n(this.biasRegularizer),activityRegularizer:$n(this.activityRegularizer),kernelConstraint:L(this.kernelConstraint),recurrentConstraint:L(this.recurrentConstraint),biasConstraint:L(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="LSTM",e}(ti);r.serialization.registerClass(si);var ui=function(t){function e(e){var n=t.call(this,e)||this;return 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/*! *****************************************************************************

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