tf.min.js

// @tensorflow/tfjs Copyright 2019 Google
!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports):"function"==typeof define&&define.amd?define(["exports"],e):e(t.tf=t.tf||{})}(this,function(t){"use strict";var e=function(t,n){return(e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,n)};function n(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}function r(t,e,n,r){return new(n||(n=Promise))(function(a,i){function o(t){try{u(r.next(t))}catch(t){i(t)}}function s(t){try{u(r.throw(t))}catch(t){i(t)}}function u(t){t.done?a(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function a(t,e){var n,r,a,i,o={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(a=2&i[0]?r.return:i[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,i[1])).done)return a;switch(r=0,a&&(i=[2&i[0],a.value]),i[0]){case 0:case 1:a=i;break;case 4:return o.label++,{value:i[1],done:!1};case 5:o.label++,r=i[1],i=[0];continue;case 7:i=o.ops.pop(),o.trys.pop();continue;default:if(!(a=(a=o.trys).length>0&&a[a.length-1])&&(6===i[0]||2===i[0])){o=0;continue}if(3===i[0]&&(!a||i[1]>a[0]&&i[1]<a[3])){o.label=i[1];break}if(6===i[0]&&o.label<a[1]){o.label=a[1],a=i;break}if(a&&o.label<a[2]){o.label=a[2],o.ops.push(i);break}a[2]&&o.ops.pop(),o.trys.pop();continue}i=e.call(t,o)}catch(t){i=[6,t],r=0}finally{n=a=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}var i=function(){function t(t){this.global=t,this.flags={},this.flagRegistry={},this.urlFlags={},this.populateURLFlags()}return t.prototype.setPlatform=function(t,e){null!=this.platform&&console.warn("Platform "+this.platformName+" has already been set. Overwriting the platform with "+e+"."),this.platformName=t,this.platform=e},t.prototype.registerFlag=function(t,e,n){if(this.flagRegistry[t]={evaluationFn:e,setHook:n},null!=this.urlFlags[t]){var r=this.urlFlags[t];console.warn("Setting feature override from URL "+t+": "+r+"."),this.set(t,r)}},t.prototype.get=function(t){return t in this.flags?this.flags[t]:(this.flags[t]=this.evaluateFlag(t),this.flags[t])},t.prototype.getNumber=function(t){return this.get(t)},t.prototype.getBool=function(t){return this.get(t)},t.prototype.getFlags=function(){return this.flags},Object.defineProperty(t.prototype,"features",{get:function(){return this.flags},enumerable:!0,configurable:!0}),t.prototype.set=function(t,e){if(null==this.flagRegistry[t])throw new Error("Cannot set flag "+t+" as it has not been registered.");this.flags[t]=e,null!=this.flagRegistry[t].setHook&&this.flagRegistry[t].setHook(e)},t.prototype.evaluateFlag=function(t){if(null==this.flagRegistry[t])throw new Error("Cannot evaluate flag '"+t+"': no evaluation function found.");return this.flagRegistry[t].evaluationFn()},t.prototype.setFlags=function(t){this.flags=Object.assign({},t)},t.prototype.reset=function(){this.flags={},this.urlFlags={},this.populateURLFlags()},t.prototype.populateURLFlags=function(){var t=this;if(void 0!==this.global&&void 0!==this.global.location&&void 0!==this.global.location.search){var e,n,r=(e=this.global.location.search,n={},e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(t){for(var e=[],r=1;r<arguments.length;r++)e[r-1]=arguments[r];return function(t,e,n){t[decodeURIComponent(e)]=decodeURIComponent(n||"")}(n,e[0],e[1]),e.join("=")}),n);"tfjsflags"in r&&r.tfjsflags.split(",").forEach(function(e){var n=e.split(":"),r=n[0],a=n[1];t.urlFlags[r]=function(t,e){if("true"===(e=e.toLowerCase())||"false"===e)return"true"===e;if(""+ +e===e)return+e;throw new Error("Could not parse value flag value "+e+" for flag "+t+".")}(r,a)})}},t}();function o(){return t.ENV}t.ENV=null;var s=new Map;function u(t,e){var n=p(t,e);return s.get(n)}function l(t){for(var e=s.entries(),n=[];;){var r=e.next(),a=r.done,i=r.value;if(a)break;var o=i[0],u=i[1];o.split("_")[0]===t&&n.push(u)}return n}function c(t){var e=t.kernelName,n=t.backendName,r=p(e,n);if(s.has(r))throw new Error("The kernel '"+e+"' for backend '"+n+"' is already registered");s.set(r,t)}function p(t,e){return e+"_"+t}function h(t){for(var e=t.length,n=0,r=0;e>0;)r=Math.random()*e|0,n=t[--e],t[e]=t[r],t[r]=n}function f(t,e,n){return Math.max(t,Math.min(e,n))}function d(t){return t%2==0?t:t+1}function m(t){for(var e=0,n=0;n<t.length;n++)e+=t[n];return e}function g(t,e){if(!t)throw new Error("string"==typeof e?e:e())}function v(t,e,n){void 0===n&&(n=""),g(w(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})}function y(t){g(null!=t,function(){return"The input to the tensor constructor must be a non-null value."})}function b(t,e,n){if(void 0===e&&(e=[]),void 0===n&&(n=!1),null==e&&(e=[]),Array.isArray(t)||M(t)&&!n)for(var r=0;r<t.length;++r)b(t[r],e,n);else e.push(t);return e}function x(t){if(0===t.length)return 1;for(var e=t[0],n=1;n<t.length;n++)e*=t[n];return e}function w(t,e){if(t===e)return!0;if(null==t||null==e)return!1;if(t.length!==e.length)return!1;for(var n=0;n<t.length;n++)if(t[n]!==e[n])return!1;return!0}function C(t){return t%1==0}function N(t){if(null!=Math.tanh)return Math.tanh(t);if(t===1/0)return 1;if(t===-1/0)return-1;var e=Math.exp(2*t);return(e-1)/(e+1)}function S(t){var e=Math.ceil(Math.sqrt(t));return[e,Math.ceil(t/e)]}function I(t,e){return e<=t.length?t:t+" ".repeat(e-t.length)}function k(t,e,n){return void 0===e&&(e=function(t){return 0}),new Promise(function(r,a){var i=0,o=function(){if(t())r();else{var s=e(++i);null!=n&&i>=n?a():setTimeout(o,s)}};o()})}function E(t,e){for(var n=1,r=-1,a=0;a<t.length;++a)if(t[a]>=0)n*=t[a];else if(-1===t[a]){if(-1!==r)throw Error("Shapes can only have 1 implicit size. Found -1 at dim "+r+" and dim "+a);r=a}else if(t[a]<0)throw Error("Shapes can not be < 0. Found "+t[a]+" at dim "+a);if(-1===r){if(e>0&&e!==n)throw Error("Size("+e+") must match the product of shape "+t);return t}if(0===n)throw Error("Cannot infer the missing size in ["+t+"] when there are 0 elements");if(e%n!=0)throw Error("The implicit shape can't be a fractional number. Got "+e+" / "+n);var i=t.slice();return i[r]=e/n,i}function A(t,e){var n=e.length;return g((t=null==t?e.map(function(t,e){return e}):[].concat(t)).every(function(t){return t>=-n&&t<n}),function(){return"All values in axis param must be in range [-"+n+", "+n+") but got axis "+t}),g(t.every(function(t){return C(t)}),function(){return"All values in axis param must be integers but got axis "+t}),t.map(function(t){return t<0?n+t:t})}function R(t,e){for(var n=[],r=[],a=null!=e&&Array.isArray(e)&&0===e.length,i=null==e||a?null:A(e,t).sort(),o=0,s=0;s<t.length;++s){if(null!=i){if(i[o]===s&&1!==t[s])throw new Error("Can't squeeze axis "+s+" since its dim '"+t[s]+"' is not 1");(null==i[o]||i[o]>s)&&1===t[s]&&(n.push(t[s]),r.push(s)),i[o]<=s&&o++}1!==t[s]&&(n.push(t[s]),r.push(s))}return{newShape:n,keptDims:r}}function T(t,e){var n=null;if(null==t||"float32"===t)n=new Float32Array(e);else if("int32"===t)n=new Int32Array(e);else{if("bool"!==t)throw new Error("Unknown data type "+t);n=new Uint8Array(e)}return n}function D(t,e){var n=null;if(null==t||"float32"===t)n=new Float32Array(e);else if("int32"===t)n=new Int32Array(e);else if("bool"===t)n=new Uint8Array(e);else{if("string"!==t)throw new Error("Unknown data type "+t);n=new Array(e)}return n}function O(t,e){for(var n=0;n<t.length;n++){var r=t[n];if(isNaN(r)||!isFinite(r))throw Error("A tensor of type "+e+" being uploaded contains "+r+".")}}function _(t){return"bool"===t||"complex64"===t||"float32"===t||"int32"===t||"string"===t}function F(t,e){return!("complex64"===e||"float32"===e&&"complex64"!==t||"int32"===e&&"float32"!==t&&"complex64"!==t||"bool"===e&&"bool"===t)}function M(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array}function z(t){if("float32"===t||"int32"===t)return 4;if("complex64"===t)return 8;if("bool"===t)return 1;throw new Error("Unknown dtype "+t)}function L(t){if(null==t)return 0;var e=0;return t.forEach(function(t){return e+=t.length}),e}function B(t){return"string"==typeof t||t instanceof String}function P(t){return"boolean"==typeof t}function W(t){return"number"==typeof t}function V(t){return Array.isArray(t)?V(t[0]):t instanceof Float32Array?"float32":t instanceof Int32Array||t instanceof Uint8Array?"int32":W(t)?"float32":B(t)?"string":P(t)?"bool":"float32"}function U(t){return!!(t&&t.constructor&&t.call&&t.apply)}function j(t,e){for(var n=e;n<t;++n)if(t%n==0)return n;return t}function G(t){var e=t.length;if(e<2)return[];var n=new Array(e-1);n[e-2]=t[e-1];for(var r=e-3;r>=0;--r)n[r]=n[r+1]*t[r+1];return n}function q(t,e,n){if("string"===e)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(t)&&(t=b(t)),n&&O(t,e),function(t,e){return t instanceof Float32Array&&"float32"===e||t instanceof Int32Array&&"int32"===e||t instanceof Uint8Array&&"bool"===e}(t,e))return t;if(null==e||"float32"===e||"complex64"===e)return new Float32Array(t);if("int32"===e)return new Int32Array(t);if("bool"===e){for(var r=new Uint8Array(t.length),a=0;a<r.length;++a)0!==Math.round(t[a])&&(r[a]=1);return r}throw new Error("Unknown data type "+e)}function H(t,e){if(0===t.length)return e[0];var n=t.reduce(function(t,e){return t*e});if(0===n)return[];if(n!==e.length)throw new Error("["+t+"] does not match the input size.");return function t(e,n,r){var a=new Array;if(1===n.length)for(var i=n[0],o=0;o<i;o++)a[o]=r[e+o];else{i=n[0];var s=n.slice(1),u=s.reduce(function(t,e){return t*e});for(o=0;o<i;o++)a[o]=t(e+o*u,s,r)}return a}(0,t,e)}function K(t,e){for(var n=X(t,e),r=0;r<n.length;r++)n[r]=1;return n}function X(t,e){if(null==e||"float32"===e||"complex64"===e)return new Float32Array(t);if("int32"===e)return new Int32Array(t);if("bool"===e)return new Uint8Array(t);throw new Error("Unknown data type "+e)}function $(){return o().platform.now()}function Y(t){t.forEach(function(e){g(Number.isInteger(e)&&e>=0,function(){return"Tensor must have a shape comprised of positive integers but got shape ["+t+"]."})})}function J(t,e){return void 0===e&&(e="utf-8"),e=e||"utf-8",o().platform.encode(t,e)}function Z(t,e){return void 0===e&&(e="utf-8"),e=e||"utf-8",o().platform.decode(t,e)}var Q=Object.freeze({shuffle:h,clamp:f,nearestLargerEven:d,sum:m,randUniform:function(t,e){var n=Math.random();return e*n+(1-n)*t},distSquared:function(t,e){for(var n=0,r=0;r<t.length;r++){var a=Number(t[r])-Number(e[r]);n+=a*a}return n},assert:g,assertShapesMatch:v,assertNonNull:y,flatten:b,sizeFromShape:x,isScalarShape:function(t){return 0===t.length},arraysEqual:w,isInt:C,tanh:N,sizeToSquarishShape:S,createShuffledIndices:function(t){for(var e=new Uint32Array(t),n=0;n<t;++n)e[n]=n;return h(e),e},rightPad:I,repeatedTry:k,inferFromImplicitShape:E,parseAxisParam:A,squeezeShape:R,getTypedArrayFromDType:T,getArrayFromDType:D,checkConversionForErrors:O,isValidDtype:_,hasEncodingLoss:F,isTypedArray:M,bytesPerElement:z,bytesFromStringArray:L,isString:B,isBoolean:P,isNumber:W,inferDtype:V,isFunction:U,nearestDivisor:j,computeStrides:G,toTypedArray:q,toNestedArray:H,makeOnesTypedArray:K,makeZerosTypedArray:X,now:$,assertNonNegativeIntegerDimensions:Y,fetch:function(t,e){return o().platform.fetch(t,e)},encodeString:J,decodeString:Z}),tt=function(){function t(t,e){this.backendTimer=t,this.logger=e,null==e&&(this.logger=new et)}return t.prototype.profileKernel=function(t,e,n){var r,a=this,i=this.backendTimer.time(function(){r=n()});return r.forEach(function(n){n.data().then(function(r){!function(t,e,n){if("float32"!==e)return!1;for(var r=0;r<t.length;r++){var a=t[r];if(isNaN(a)||!isFinite(a))return console.warn("Found "+a+" in the result of '"+n+"'"),!0}}(r,n.dtype,t),i.then(function(i){var o="";null!=i.getExtraProfileInfo&&(o=i.getExtraProfileInfo()),a.logger.logKernelProfile(t,n,r,i.kernelMs,e,o)})})}),r},t}(),et=function(){function t(){}return t.prototype.logKernelProfile=function(t,e,n,r,a,i){var o=I(r+"ms",9),s=I(t,25),u=e.rank,l=e.size,c=I(e.shape.toString(),14),p="";for(var h in a){var f=a[h].shape,d=f.length;p+=h+": "+d+"D "+(d>0?f:"")+" "}console.log("%c"+s+"\t%c"+o+"\t%c"+u+"D "+c+"\t%c"+l+"\t%c"+p+"\t%c"+i,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")},t}(),nt=20,rt=3,at=7;function it(t,e,n){return I(Array.isArray(t)?parseFloat(t[0].toFixed(at))+" + "+parseFloat(t[1].toFixed(at))+"j":B(t)?"'"+t+"'":"bool"===n?ot(t):parseFloat(t.toFixed(at)).toString(),e)}function ot(t){return 0===t?"false":"true"}function st(t){for(var e=[],n=0;n<t.length;n+=2)e.push([t[n],t[n+1]]);return e}var ut=function(){function t(t,e,n){var r=this;if(this.dtype=e,this.shape=t.slice(),this.size=x(t),null!=n){var a=n.length;g(a===this.size,function(){return"Length of values '"+a+"' does not match the size inferred by the shape '"+r.size+"'."})}if("complex64"===e)throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||D(e,this.size),this.strides=G(t)}return t.prototype.set=function(t){for(var e=this,n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];0===n.length&&(n=[0]),g(n.length===this.rank,function(){return"The number of provided coordinates ("+n.length+") must match the rank ("+e.rank+")"});var a=this.locToIndex(n);this.values[a]=t},t.prototype.get=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];0===t.length&&(t=[0]);for(var n=0,r=0,a=t;r<a.length;r++){var i=a[r];if(i<0||i>=this.shape[n]){var o="Requested out of range element at "+t+".   Buffer shape="+this.shape;throw new Error(o)}n++}for(var s=t[t.length-1],u=0;u<t.length-1;++u)s+=this.strides[u]*t[u];return this.values[s]},t.prototype.locToIndex=function(t){if(0===this.rank)return 0;if(1===this.rank)return t[0];for(var e=t[t.length-1],n=0;n<t.length-1;++n)e+=this.strides[n]*t[n];return e},t.prototype.indexToLoc=function(t){if(0===this.rank)return[];if(1===this.rank)return[t];for(var e=new Array(this.shape.length),n=0;n<e.length-1;++n)e[n]=Math.floor(t/this.strides[n]),t-=e[n]*this.strides[n];return e[e.length-1]=t,e},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.toTensor=function(){return lt().makeTensor(this.values,this.shape,this.dtype)},t}(),lt=null,ct=null,pt=null,ht=function(){function t(t,e,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=x(t),this.strides=G(t),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}return t.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},t.prototype.asScalar=function(){return this.throwIfDisposed(),g(1===this.size,function(){return"The array must have only 1 element."}),this.reshape([])},t.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},t.prototype.as2D=function(t,e){return this.throwIfDisposed(),this.reshape([t,e])},t.prototype.as3D=function(t,e,n){return this.throwIfDisposed(),this.reshape([t,e,n])},t.prototype.as4D=function(t,e,n,r){return this.throwIfDisposed(),this.reshape([t,e,n,r])},t.prototype.as5D=function(t,e,n,r,a){return this.throwIfDisposed(),this.reshape([t,e,n,r,a])},t.prototype.asType=function(t){return this.throwIfDisposed(),ct.cast(this,t)},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.buffer=function(){return r(this,void 0,void 0,function(){var t;return a(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,ct.buffer(this.shape,this.dtype,t)]}})})},t.prototype.bufferSync=function(){return ct.buffer(this.shape,this.dtype,this.dataSync())},t.prototype.array=function(){return r(this,void 0,void 0,function(){var t;return a(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,H(this.shape,t)]}})})},t.prototype.arraySync=function(){return H(this.shape,this.dataSync())},t.prototype.data=function(){return r(this,void 0,void 0,function(){var t,e;return a(this,function(n){switch(n.label){case 0:return this.throwIfDisposed(),t=lt().read(this.dataId),"string"!==this.dtype?[3,2]:[4,t];case 1:e=n.sent();try{return[2,e.map(function(t){return Z(t)})]}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}n.label=2;case 2:return[2,t]}})})},t.prototype.dataSync=function(){this.throwIfDisposed();var t=lt().readSync(this.dataId);if("string"===this.dtype)try{return t.map(function(t){return Z(t)})}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t},t.prototype.bytes=function(){return r(this,void 0,void 0,function(){var t;return a(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,lt().read(this.dataId)];case 1:return t=e.sent(),"string"===this.dtype?[2,t]:[2,new Uint8Array(t.buffer)]}})})},t.prototype.dispose=function(){this.isDisposed||(lt().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(t.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),t.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},t.prototype.toFloat=function(){return this.asType("float32")},t.prototype.toInt=function(){return this.asType("int32")},t.prototype.toBool=function(){return this.asType("bool")},t.prototype.print=function(t){return void 0===t&&(t=!1),ct.print(this,t)},t.prototype.reshape=function(t){return this.throwIfDisposed(),ct.reshape(this,t)},t.prototype.reshapeAs=function(t){return this.throwIfDisposed(),this.reshape(t.shape)},t.prototype.expandDims=function(t){return void 0===t&&(t=0),ct.expandDims(this,t)},t.prototype.cumsum=function(t,e,n){return void 0===t&&(t=0),void 0===e&&(e=!1),void 0===n&&(n=!1),ct.cumsum(this,t,e,n)},t.prototype.squeeze=function(t){return this.throwIfDisposed(),ct.squeeze(this,t)},t.prototype.clone=function(){return this.throwIfDisposed(),ct.clone(this)},t.prototype.oneHot=function(t,e,n){return this.throwIfDisposed(),ct.oneHot(this,t,e,n)},t.prototype.toString=function(t){return void 0===t&&(t=!1),function(t,e,n,r){var a=G(e),i=function(t,e,n,r){var a=x(e),i=r[r.length-1],o=new Array(i).fill(0),s=e.length,u="complex64"===n?st(t):t;if(s>1)for(var l=0;l<a/i;l++)for(var c=l*i,p=0;p<i;p++)o[p]=Math.max(o[p],it(u[c+p],0,n).length);return o}(t,e,n,a),o=e.length,s=function t(e,n,r,a,i,o){void 0===o&&(o=!0);var s="complex64"===r?2:1,u=n[0],l=n.length;if(0===l)return"complex64"===r?[it(st(e)[0],0,r)]:"bool"===r?[ot(e[0])]:[e[0].toString()];if(1===l){if(u>nt){var c=rt*s,p=Array.from(e.slice(0,c)),h=Array.from(e.slice(u-rt*s,u));return"complex64"===r&&(p=st(p),h=st(h)),["["+p.map(function(t,e){return it(t,i[e],r)}).join(", ")+", ..., "+h.map(function(t,e){return it(t,i[u-rt+e],r)}).join(", ")+"]"]}return["["+("complex64"===r?st(e):Array.from(e)).map(function(t,e){return it(t,i[e],r)}).join(", ")+"]"]}var f=n.slice(1),d=a.slice(1),m=a[0]*s,g=[];if(u>nt){for(var v=0;v<rt;v++){var y=(b=v*m)+m;g.push.apply(g,t(e.slice(b,y),f,r,d,i,!1))}for(g.push("..."),v=u-rt;v<u;v++)y=(b=v*m)+m,g.push.apply(g,t(e.slice(b,y),f,r,d,i,v===u-1))}else for(v=0;v<u;v++){var b;y=(b=v*m)+m,g.push.apply(g,t(e.slice(b,y),f,r,d,i,v===u-1))}var x=2===l?",":"";for(g[0]="["+g[0]+x,v=1;v<g.length-1;v++)g[v]=" "+g[v]+x;var w=",\n";for(v=2;v<l;v++)w+="\n";return g[g.length-1]=" "+g[g.length-1]+"]"+(o?"":w),g}(t,e,n,a,i),u=["Tensor"];return r&&(u.push("  dtype: "+n),u.push("  rank: "+o),u.push("  shape: ["+e+"]"),u.push("  values:")),u.push(s.map(function(t){return"    "+t}).join("\n")),u.join("\n")}(this.dataSync(),this.shape,this.dtype,t)},t.prototype.tile=function(t){return this.throwIfDisposed(),ct.tile(this,t)},t.prototype.gather=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),ct.gather(this,t,e)},t.prototype.matMul=function(t,e,n){return void 0===e&&(e=!1),void 0===n&&(n=!1),this.throwIfDisposed(),ct.matMul(this,t,e,n)},t.prototype.dot=function(t){return this.throwIfDisposed(),ct.dot(this,t)},t.prototype.norm=function(t,e,n){return void 0===t&&(t="euclidean"),void 0===e&&(e=null),void 0===n&&(n=!1),this.throwIfDisposed(),ct.norm(this,t,e,n)},t.prototype.slice=function(t,e){return this.throwIfDisposed(),ct.slice(this,t,e)},t.prototype.reverse=function(t){return this.throwIfDisposed(),ct.reverse(this,t)},t.prototype.concat=function(e,n){return void 0===n&&(n=0),this.throwIfDisposed(),e instanceof t&&(e=[e]),ct.concat([this].concat(e),n)},t.prototype.split=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),ct.split(this,t,e)},t.prototype.stack=function(t,e){return void 0===e&&(e=0),ct.stack([this,t],e)},t.prototype.unstack=function(t){return void 0===t&&(t=0),ct.unstack(this,t)},t.prototype.pad=function(t,e){return void 0===e&&(e=0),ct.pad(this,t,e)},t.prototype.batchNormalization=function(t,e,n,r,a){return void 0===n&&(n=.001),pt("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon"),this.batchNorm(t,e,a,r,n)},t.prototype.batchNorm=function(t,e,n,r,a){return void 0===a&&(a=.001),this.throwIfDisposed(),ct.batchNorm(this,t,e,n,r,a)},t.prototype.all=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.all(this,t,e)},t.prototype.any=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.any(this,t,e)},t.prototype.logSumExp=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.logSumExp(this,t,e)},t.prototype.sum=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.sum(this,t,e)},t.prototype.prod=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.prod(this,t,e)},t.prototype.mean=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.mean(this,t,e)},t.prototype.min=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.min(this,t,e)},t.prototype.max=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),ct.max(this,t,e)},t.prototype.argMin=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),ct.argMin(this,t)},t.prototype.argMax=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),ct.argMax(this,t)},t.prototype.cast=function(t){return this.throwIfDisposed(),ct.cast(this,t)},t.prototype.add=function(t){return this.throwIfDisposed(),ct.add(this,t)},t.prototype.addStrict=function(t){return this.throwIfDisposed(),ct.addStrict(this,t)},t.prototype.atan2=function(t){return this.throwIfDisposed(),ct.atan2(this,t)},t.prototype.sub=function(t){return this.throwIfDisposed(),ct.sub(this,t)},t.prototype.subStrict=function(t){return this.throwIfDisposed(),ct.subStrict(this,t)},t.prototype.pow=function(t){return this.throwIfDisposed(),ct.pow(this,t)},t.prototype.powStrict=function(t){return this.throwIfDisposed(),ct.powStrict(this,t)},t.prototype.mul=function(t){return this.throwIfDisposed(),ct.mul(this,t)},t.prototype.mulStrict=function(t){return this.throwIfDisposed(),ct.mulStrict(this,t)},t.prototype.div=function(t){return this.throwIfDisposed(),ct.div(this,t)},t.prototype.floorDiv=function(t){return this.throwIfDisposed(),ct.floorDiv(this,t)},t.prototype.divStrict=function(t){return this.throwIfDisposed(),ct.divStrict(this,t)},t.prototype.minimum=function(t){return this.throwIfDisposed(),ct.minimum(this,t)},t.prototype.minimumStrict=function(t){return this.throwIfDisposed(),ct.minimumStrict(this,t)},t.prototype.maximum=function(t){return this.throwIfDisposed(),ct.maximum(this,t)},t.prototype.maximumStrict=function(t){return this.throwIfDisposed(),ct.maximumStrict(this,t)},t.prototype.mod=function(t){return this.throwIfDisposed(),ct.mod(this,t)},t.prototype.modStrict=function(t){return this.throwIfDisposed(),ct.modStrict(this,t)},t.prototype.squaredDifference=function(t){return this.throwIfDisposed(),ct.squaredDifference(this,t)},t.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),ct.squaredDifferenceStrict(this,t)},t.prototype.transpose=function(t){return this.throwIfDisposed(),ct.transpose(this,t)},t.prototype.notEqual=function(t){return this.throwIfDisposed(),ct.notEqual(this,t)},t.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),ct.notEqualStrict(this,t)},t.prototype.less=function(t){return this.throwIfDisposed(),ct.less(this,t)},t.prototype.lessStrict=function(t){return this.throwIfDisposed(),ct.lessStrict(this,t)},t.prototype.equal=function(t){return this.throwIfDisposed(),ct.equal(this,t)},t.prototype.equalStrict=function(t){return this.throwIfDisposed(),ct.equalStrict(this,t)},t.prototype.lessEqual=function(t){return this.throwIfDisposed(),ct.lessEqual(this,t)},t.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),ct.lessEqualStrict(this,t)},t.prototype.greater=function(t){return this.throwIfDisposed(),ct.greater(this,t)},t.prototype.greaterStrict=function(t){return this.throwIfDisposed(),ct.greaterStrict(this,t)},t.prototype.greaterEqual=function(t){return this.throwIfDisposed(),ct.greaterEqual(this,t)},t.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),ct.greaterEqualStrict(this,t)},t.prototype.logicalAnd=function(t){return this.throwIfDisposed(),ct.logicalAnd(this,t)},t.prototype.logicalOr=function(t){return this.throwIfDisposed(),ct.logicalOr(this,t)},t.prototype.logicalNot=function(){return this.throwIfDisposed(),ct.logicalNot(this)},t.prototype.logicalXor=function(t){return this.throwIfDisposed(),ct.logicalXor(this,t)},t.prototype.where=function(t,e){return this.throwIfDisposed(),ct.where(t,this,e)},t.prototype.neg=function(){return this.throwIfDisposed(),ct.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),ct.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),ct.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),ct.sign(this)},t.prototype.isNaN=function(){return this.throwIfDisposed(),ct.isNaN(this)},t.prototype.isInf=function(){return this.throwIfDisposed(),ct.isInf(this)},t.prototype.isFinite=function(){return this.throwIfDisposed(),ct.isFinite(this)},t.prototype.exp=function(){return this.throwIfDisposed(),ct.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),ct.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),ct.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),ct.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),ct.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),ct.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),ct.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),ct.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),ct.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),ct.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),ct.relu(this)},t.prototype.relu6=function(){return this.throwIfDisposed(),ct.relu6(this)},t.prototype.elu=function(){return this.throwIfDisposed(),ct.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),ct.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),ct.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),ct.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),ct.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),ct.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),ct.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),ct.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),ct.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),ct.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),ct.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),ct.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),ct.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),ct.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),ct.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),ct.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),ct.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),ct.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),ct.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),ct.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),ct.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),ct.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),ct.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),ct.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),ct.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),ct.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),ct.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),ct.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,a,i){return void 0===r&&(r="NWC"),void 0===a&&(a=1),this.throwIfDisposed(),ct.conv1d(this,t,e,n,r,a,i)},t.prototype.conv2d=function(t,e,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),ct.conv2d(this,t,e,n,r,a,i)},t.prototype.conv2dTranspose=function(t,e,n,r,a){return this.throwIfDisposed(),ct.conv2dTranspose(this,t,e,n,r,a)},t.prototype.depthwiseConv2D=function(t,e,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),ct.depthwiseConv2d(this,t,e,n,r,a,i)},t.prototype.separableConv2d=function(t,e,n,r,a,i){return void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC"),this.throwIfDisposed(),ct.separableConv2d(this,t,e,n,r,a,i)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),ct.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),ct.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),ct.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,a){return this.throwIfDisposed(),ct.pool(this,t,e,n,r,a)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),lt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),ct.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),ct.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),ct.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),ct.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,a,i,o,s){return void 0===r&&(r=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===s&&(s=0),this.throwIfDisposed(),ct.stridedSlice(this,t,e,n,r,a,i,o,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),ct.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),ct.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),ct.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),ct.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),ct.spectral.irfft(this)},t}();Object.defineProperty(ht,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var ft,dt,mt,gt,vt=function(t){function e(e,n,r,a){var i=t.call(this,e.shape,e.dtype,e.dataId,a)||this;return i.trainable=n,i.name=r,i}return n(e,t),e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!w(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");lt().disposeTensor(this),this.dataId=t.dataId,lt().incRef(this,null)},e.prototype.dispose=function(){lt().disposeVariable(this),this.isDisposedInternal=!0},e}(ht);Object.defineProperty(vt,Symbol.hasInstance,{value:function(t){return t instanceof ht&&null!=t.assign&&t.assign instanceof Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(t.Rank||(t.Rank={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(ft||(ft={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(dt||(dt={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(mt||(mt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(gt||(gt={}));var yt={float32:mt,int32:ft,bool:dt,complex64:gt};function bt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return yt[t][e]}function xt(t){return bt(t,"int32")}function wt(t,e){if(t.dtype===e.dtype)return[t,e];var n=bt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Ct(t,e){g(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function Nt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof ht)n.push(e);else if(a=e,Array.isArray(a)||"object"==typeof a){var a,i=e;for(var o in i){var s=i[o];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}var St,It=Object.freeze({makeTypesMatch:wt,assertTypesMatch:Ct,isTensorInList:function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},getTensorsInContainer:Nt}),kt=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Et=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new kt}return t.prototype.ready=function(){return r(this,void 0,void 0,function(){var t,e,n;return a(this,function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then(function(){})];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return r(this,void 0,void 0,function(){var e,n,r;return a(this,function(a){switch(a.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=a.sent(),[3,3];case 2:r=n,a.label=3;case 3:if(!r)return[2,!1];a.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new tt(this.backendInstance),[2,!0]}})})},t.prototype.setupRegisteredKernels=function(){var t=this;l(this.backendName).forEach(function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)})},t.prototype.disposeRegisteredKernels=function(t){var e=this;l(t).forEach(function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])})},t.prototype.initializeBackend=function(t){var e=this,n=this.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 a=++this.pendingBackendInitId,i=r.then(function(n){return!(a<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))}).catch(function(n){return!(a<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))});return this.pendingBackendInit=i,{success:i,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.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},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),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,a=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,a,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,a=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");a=t}return this.scopedRun(function(){return r.startScope(a)},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=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],function(t){return{x:function(){return t.toFloat()}}},[]),e},t.prototype.runKernel=function(t,e,n,r,a){return this.runKernelFunc(null,e,null,t,n,r,a)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),a=0;n.forEach(function(t){a+="complex64"===t.dtype?3:1});var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-a-i;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,a,i,o){var s,l=this;void 0===i&&(i=[]),void 0===o&&(o=[]);var c,p=[],h=this.isTapeOn(),f=null!=this.state.activeScope?this.state.activeScope.name:"",d=function(t){h&&(p=t.map(function(t){return l.keep(l.clone(t))}))},m=this.state.numBytes,g=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,y=u(r,this.backendName);return c=null!=y?function(){var t=l.backend.numDataIds();v=y.kernelFunc({inputs:e,attrs:a,backend:l.backend});var n=Array.isArray(v)?v:[v];l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(f,t,n);var r=n.map(function(t){var e=t.dataId,n=t.shape,r=t.dtype;return l.makeTensorFromDataId(e,n,r)}),s=r.filter(function(t,e){return o[e]});return d(i.slice().concat(s)),r}:function(){var e=l.backend.numDataIds();v=l.tidy(function(){return t(l.backend,d)});var n=Array.isArray(v)?v:[v];return l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(f,e,n),n},this.scopedRun(function(){return l.state.kernelDepth++},function(){return l.state.kernelDepth--},function(){s=l.ENV.getBool("DEBUG")?l.profiler.profileKernel(f,e,function(){return c()}):c()}),h&&this.addTapeNode(f,e,s,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:f,bytesAdded:this.state.numBytes-m,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-g,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShapes:s.map(function(t){return t.shape})}),Array.isArray(v)?s:s[0]},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=t;"string"===n&&B(t[0])&&(a=t.map(function(t){return J(t)}));var i=r.write(a,e,n),o=new ht(e,n,i,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=L(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.prototype.makeTensorFromDataId=function(t,e,n,r){var a=new ht(e,n=n||"float32",t,this.nextTensorId());return this.incRef(a,r),a},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var a=new vt(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.prototype.incRef=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*z(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof vt||this.track(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 r(this,void 0,void 0,function(){var e,n;return a(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,r,a){var i=this,o={id:this.state.nextTapeNodeId++,name:t,inputs:e,outputs:n,saved:a};null!=r&&(o.gradient=function(t){return t=t.map(function(t,e){if(null==t){var r=n[e],a=X(r.size,r.dtype);return i.makeTensor(a,r.shape,r.dtype)}return t}),r(t.length>1?t:t[0],a)}),this.state.activeTape.push(o)},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=Nt(t),r=new Set(n.map(function(t){return t.id})),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach(function(t){t.kept||t.scopeId!==o.id||e.track(t)})},t.prototype.gradients=function(t,e,n,r){var a=this;if(void 0===r&&(r=!1),g(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 i=this.scopedRun(function(){return a.startTape()},function(){return a.endTape()},function(){return a.tidy("forward",t)});g(i instanceof ht,function(){return"The result y returned by f() must be a tensor."});var o=function(t,e,n){for(var r={},a={},i=0;i<e.length;i++)r[e[i].id]=!0;for(i=0;i<t.length;i++){var o=(d=t[i]).inputs;for(var s in o){for(var u=o[s],l=!1,c=0;c<e.length;c++)if(r[u.id]){d.outputs.forEach(function(t){return r[t.id]=!0}),l=!0,a[d.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var h={};for(i=t.length-1;i>=0;i--)for(o=(d=t[i]).inputs,c=0;c<d.outputs.length;c++)if(p[d.outputs[c].id]){for(var s in o)p[o[s].id]=!0,h[d.id]=!0;break}var f=[];for(i=0;i<t.length;i++){var d;if(a[(d=t[i]).id]&&h[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},d);v.inputs=m,v.outputs=d.outputs,f.push(v)}}return f}(this.state.activeTape,e,i);if(!r&&0===o.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[i.id]=null==n?(r=K(x(t=i.shape),"float32"),At.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var a=e[r],i=[];if(a.outputs.forEach(function(e){var n=t[e.id];null!=n?i.push(n):i.push(null)}),null==a.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+a.name+".");var o=a.gradient(i),s=function(e){if(!(e in o))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(o)+".");var r=n(function(){return o[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+a.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var i=a.inputs[e];if(!w(r.shape,i.shape))throw new Error("Error in gradient for op "+a.name+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+i.shape+"'");if(null==t[i.id])t[i.id]=r;else{var s=t[i.id];t[i.id]=s.add(r),s.dispose()}};for(var u in a.inputs)s(u)},a=e.length-1;a>=0;a--)r(a)}(s,o,function(t){return a.tidy(t)});var u=e.map(function(t){return s[t.id]});return 0===a.state.gradientDepth&&(a.state.activeTape.forEach(function(t){for(var e in t.saved)t.saved[e].dispose()}),a.state.activeTape=null),{value:i,grads:u}})},t.prototype.customGrad=function(t){var e=this;return g(U(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r=[],a=0;a<arguments.length;a++)r[a]=arguments[a];g(r.every(function(t){return t instanceof ht}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var i={};return r.forEach(function(t,e){i[e]=t}),e.runKernelFunc(function(e,a){return g((n=t.apply(void 0,r.concat([a]))).value instanceof ht,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),g(U(n.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n.value},i,function(t,e){var a=n.gradFunc(t,e),i=Array.isArray(a)?a:[a];g(i.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(...)."}),g(i.every(function(t){return t instanceof ht}),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."});var o={};return i.forEach(function(t,e){o[e]=function(){return t}}),o})}},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 r(this,void 0,void 0,function(){var e,n;return a(this,function(r){switch(r.label){case 0:return e=$(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=$()-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 kt,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}(),At=function(){var e=function(){if(null==St){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof global)t=global;else if("undefined"!=typeof process)t=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");t=self}St=t}return St}();if(null==e._tfengine){var n=new i(e);e._tfengine=new Et(n)}return function(e){t.ENV=e}(e._tfengine.ENV),lt=function(){return e._tfengine},e._tfengine}();function Rt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Tt=o();Tt.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.")}),Tt.registerFlag("IS_BROWSER",function(){return Rt()}),Tt.registerFlag("IS_NODE",function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node}),Tt.registerFlag("IS_CHROME",function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}),Tt.registerFlag("PROD",function(){return!1}),Tt.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",function(){return Tt.getBool("DEBUG")}),Tt.registerFlag("DEPRECATION_WARNINGS_ENABLED",function(){return!0}),Tt.registerFlag("IS_TEST",function(){return!1});var Dt,Ot,_t,Ft={},Mt={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function zt(t,e){Ft[t]=e}function Lt(t){t in Ft||(Ft[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var e=Bt(t);return e.addEventListener("webglcontextlost",function(e){e.preventDefault(),delete Ft[t]},!1),1===t?e.getContext("webgl",Mt)||e.getContext("experimental-webgl",Mt):e.getContext("webgl2",Mt)}(t));var e=Ft[t];return e.isContextLost()?(delete Ft[t],Lt(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),Ft[t])}function Bt(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")}function Pt(t,e){return[e,t]}function Wt(t){var e=x(t);return S(Math.ceil(e/4))}function Vt(t,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(t/2))]}function Ut(t,e){var n,r,a,i,s,u,l,c,p,h=t;return 2===o().getNumber("WEBGL_VERSION")?(n=h.R32F,r=h.R16F,a=h.RGBA16F,i=h.RGBA32F,s=h.RED,u=4,l=1,c=h.HALF_FLOAT,p=h.FLOAT):(n=t.RGBA,r=t.RGBA,a=t.RGBA,i=h.RGBA,s=t.RGBA,u=4,l=4,c=null!=e?e.HALF_FLOAT_OES:null,p=t.FLOAT),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:a,internalFormatPackedFloat:i,textureFormatFloat:s,downloadTextureFormat:t.RGBA,downloadUnpackNumChannels:u,defaultNumChannels:l,textureTypeHalfFloat:c,textureTypeFloat:p}}function jt(t,e,n){var r=n();return e&&function(t){var e=t.getError();if(e!==t.NO_ERROR)throw new Error("WebGL Error: "+Kt(t,e))}(t),r}!function(t){t[t.DENSE=0]="DENSE",t[t.SHARED_BATCH=1]="SHARED_BATCH"}(Dt||(Dt={})),function(t){t[t.RENDER=0]="RENDER",t[t.UPLOAD=1]="UPLOAD",t[t.PIXELS=2]="PIXELS",t[t.DOWNLOAD=3]="DOWNLOAD"}(Ot||(Ot={})),function(t){t[t.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",t[t.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",t[t.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",t[t.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",t[t.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"}(_t||(_t={}));var Gt=5.96e-8,qt=65504;function Ht(t){return!!(o().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||0===t||Gt<Math.abs(t)&&Math.abs(t)<qt)}function Kt(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 Xt(t,e,n){return ve(t,e,function(){return t.getExtension(n)},'Extension "'+n+'" not supported on this browser.')}function $t(t,e,n){var r=ve(t,e,function(){return t.createShader(t.VERTEX_SHADER)},"Unable to create vertex WebGLShader.");if(jt(t,e,function(){return t.shaderSource(r,n)}),jt(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 Yt(t,e,n){var r=ve(t,e,function(){return t.createShader(t.FRAGMENT_SHADER)},"Unable to create fragment WebGLShader.");if(jt(t,e,function(){return t.shaderSource(r,n)}),jt(t,e,function(){return t.compileShader(r)}),!1===t.getShaderParameter(r,t.COMPILE_STATUS))throw function(t,e){var n=Qt.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],a=t.split("\n"),i=a.length.toString().length+2,o=a.map(function(t,e){return I((e+1).toString(),i)+t}),s=0,u=0;u<o.length;u++)s=Math.max(o[u].length,s);var l=o.slice(0,r-1),c=o.slice(r-1,r),p=o.slice(r);console.log(l.join("\n")),console.log(e.split("\n")[0]),console.log("%c "+I(c[0],s),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join("\n"))}(n,t.getShaderInfoLog(r)),new Error("Failed to compile fragment shader.");return r}var Jt,Zt,Qt=/ERROR: [0-9]+:([0-9]+):/g;function te(t,e){return ve(t,e,function(){return t.createProgram()},"Unable to create WebGLProgram.")}function ee(t,e,n){if(jt(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 ne(t,e,n){if(jt(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 re(t,e,n){var r=ve(t,e,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return jt(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),jt(t,e,function(){return t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW)}),r}function ae(t,e,n){var r=ve(t,e,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return jt(t,e,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,r)}),jt(t,e,function(){return t.bufferData(t.ELEMENT_ARRAY_BUFFER,n,t.STATIC_DRAW)}),r}function ie(t,e){return ve(t,e,function(){return t.createTexture()},"Unable to create WebGLTexture.")}function oe(t,e){var n=o().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t<=0||e<=0){var r="["+t+"x"+e+"]";throw new Error("Requested texture size "+r+" is invalid.")}if(t>n||e>n)throw r="["+t+"x"+e+"]",new Error("Requested texture size "+r+" greater than WebGL maximum on this browser / GPU ["+n+"x"+n+"].")}function se(t,e){return ve(t,e,function(){return t.createFramebuffer()},"Unable to create WebGLFramebuffer.")}function ue(t,e,n,r,a,i,o,s){var u=t.getAttribLocation(n,r);return-1!==u&&(jt(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,a)}),jt(t,e,function(){return t.vertexAttribPointer(u,i,t.FLOAT,!1,o,s)}),jt(t,e,function(){return t.enableVertexAttribArray(u)}),!0)}function le(t,e,n,r){ye(t,r),jt(t,e,function(){return t.activeTexture(t.TEXTURE0+r)}),jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)})}function ce(t,e,n,r){return ve(t,e,function(){return t.getUniformLocation(n,r)},'uniform "'+r+'" not present in program.')}function pe(t,e,n){return t.getUniformLocation(e,n)}function he(t,e,n,r,a,i){jt(t,e,function(){return le(t,e,r,i)}),jt(t,e,function(){return t.uniform1i(a,i)})}function fe(t,e,n,r){jt(t,e,function(){return t.bindFramebuffer(t.FRAMEBUFFER,r)}),jt(t,e,function(){return t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,n,0)})}function de(t,e,n){jt(t,e,function(){return t.bindFramebuffer(t.FRAMEBUFFER,n)}),jt(t,e,function(){return t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,null,0)})}function me(t){var e=t.checkFramebufferStatus(t.FRAMEBUFFER);if(e!==t.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+ge(t,e))}function ge(t,e){switch(e){case t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case t.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return"unknown error "+e}}function ve(t,e,n,r){var a=jt(t,e,function(){return n()});if(null==a)throw new Error(r);return a}function ye(t,e){var n=t.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=e+t.TEXTURE0;if(r<t.TEXTURE0||r>n)throw new Error("textureUnit must be in [gl.TEXTURE0, gl.TEXTURE"+n+"].")}function be(t,e){return void 0===e&&(e=2),x(t.slice(0,t.length-e))}function xe(t){if(0===t.length)throw Error("Cannot get rows and columns of an empty shape array.");return[t.length>1?t[t.length-2]:1,t[t.length-1]]}function we(t){var e=[1,1,1];return 0===t.length||1===t.length&&1===t[0]||(e=[be(t)].concat(xe(t))),e}function Ce(t,e){var n;void 0===e&&(e=!1);var r=o().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e&&(r*=2,1===(t=t.map(function(e,n){return n>=t.length-2?d(t[n]):t[n]})).length&&(t=[2,t[0]])),2!==t.length){var a=R(t);t=a.newShape}var i=x(t);if(t.length<=1&&i<=r)return[1,i];if(2===t.length&&t[0]<=r&&t[1]<=r)return t;if(3===t.length&&t[0]*t[1]<=r&&t[2]<=r)return[t[0]*t[1],t[2]];if(3===t.length&&t[0]<=r&&t[1]*t[2]<=r)return[t[0],t[1]*t[2]];if(4===t.length&&t[0]*t[1]*t[2]<=r&&t[3]<=r)return[t[0]*t[1]*t[2],t[3]];if(4===t.length&&t[0]<=r&&t[1]*t[2]*t[3]<=r)return[t[0],t[1]*t[2]*t[3]];if(e){var s=be(t),u=2,l=2;return t.length&&(u=(n=xe(t))[0],l=n[1]),S(i=s*(u/2)*(l/2)).map(function(t){return 2*t})}return S(i)}function Ne(t){return t%2==0}function Se(t,e){if(w(t=t.slice(-2),e=e.slice(-2)))return!0;if(!t.length||!e.length)return!0;if(0===t[0]||0===t[1]||0===e[0]||0===e[1])return!0;if(t.length!==e.length){var n=t.slice(-1)[0],r=e.slice(-1)[0];if(n===r)return!0;if(Ne(n)&&Ne(r)&&(1===t[0]||1===e[0]))return!0}return t[1]===e[1]&&Ne(t[0])&&Ne(e[0])}function Ie(t){if(null==Jt){var e=Lt(t);Jt=e.getParameter(e.MAX_TEXTURE_SIZE)}return Jt}function ke(t){if(null==Zt){var e=Lt(t);Zt=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Zt)}function Ee(t){if(0===t)return 0;var e=Lt(t);return Ae(e,"EXT_disjoint_timer_query_webgl2")&&2===t?2:Ae(e,"EXT_disjoint_timer_query")?1:0}function Ae(t,e){return null!=t.getExtension(e)}function Re(t){try{if(null!=Lt(t))return!0}catch(t){return!1}return!1}function Te(t){if(0===t)return!1;var e=Lt(t);if(1===t){if(!Ae(e,"OES_texture_float"))return!1}else if(!Ae(e,"EXT_color_buffer_float"))return!1;return Oe(e)}function De(t){if(0===t)return!1;var e=Lt(t);return 1!==t?Ae(e,"EXT_color_buffer_float")?Oe(e):!!Ae(e,"EXT_color_buffer_half_float")&&function(t,e){var n=Ut(t,e),r=t.createTexture();t.bindTexture(t.TEXTURE_2D,r),t.texImage2D(t.TEXTURE_2D,0,n.internalFormatHalfFloat,1,1,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);var a=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,a),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,r,0);var i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(r),t.deleteFramebuffer(a),i}(e,e.getExtension("EXT_color_buffer_half_float")):!!Ae(e,"OES_texture_float")&&!!Ae(e,"WEBGL_color_buffer_float")&&Oe(e)}function Oe(t){var e=Ut(t),n=t.createTexture();t.bindTexture(t.TEXTURE_2D,n),t.texImage2D(t.TEXTURE_2D,0,e.internalFormatFloat,1,1,0,e.textureFormatFloat,e.textureTypeFloat,null);var r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,n,0);var a=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(n),t.deleteFramebuffer(r),a}function _e(t){return 2===t&&null!=Lt(t).fenceSync}var Fe=Object.freeze({callAndCheck:jt,canBeRepresented:Ht,getWebGLErrorMessage:Kt,getExtensionOrThrow:Xt,createVertexShader:$t,createFragmentShader:Yt,createProgram:te,linkProgram:ee,validateProgram:ne,createStaticVertexBuffer:re,createStaticIndexBuffer:ae,getNumChannels:function(){return 2===o().getNumber("WEBGL_VERSION")?1:4},createTexture:ie,validateTextureSize:oe,createFramebuffer:se,bindVertexBufferToProgramAttribute:ue,bindTextureUnit:le,unbindTextureUnit:function(t,e,n){ye(t,n),jt(t,e,function(){return t.activeTexture(t.TEXTURE0+n)}),jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})},getProgramUniformLocationOrThrow:ce,getProgramUniformLocation:pe,bindTextureToProgramUniformSampler:he,bindCanvasToFramebuffer:function(t,e){jt(t,e,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),jt(t,e,function(){return t.viewport(0,0,t.canvas.width,t.canvas.height)}),jt(t,e,function(){return t.scissor(0,0,t.canvas.width,t.canvas.height)})},bindColorTextureToFramebuffer:fe,unbindColorTextureFromFramebuffer:de,validateFramebuffer:me,getFramebufferErrorMessage:ge,getBatchDim:be,getRowsCols:xe,getShapeAs3D:we,getTextureShapeFromLogicalShape:Ce,isReshapeFree:Se,getWebGLMaxTextureSize:Ie,resetMaxTextureSize:function(){Jt=null},resetMaxTexturesInShader:function(){Zt=null},getMaxTexturesInShader:ke,getWebGLDisjointQueryTimerVersion:Ee,hasExtension:Ae,isWebGLVersionEnabled:Re,isCapableOfRenderingToFloatTexture:Te,isDownloadFloatTextureEnabled:De,isWebGLFenceEnabled:_e}),Me=o();function ze(t){o().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(t+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}function Le(){return At.memory()}function Be(t,e){return At.tidy(t,e)}function Pe(t){Nt(t).forEach(function(t){return t.dispose()})}function We(t){return At.keep(t)}function Ve(){return At.backend}function Ue(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];o().getBool("IS_TEST")||console.warn.apply(console,t)}function je(t,e){var n=t;if(M(t))return"string"===e?[]:[t.length];if(!Array.isArray(t))return[];for(var r=[];Array.isArray(n)||M(n)&&"string"!==e;)r.push(n.length),n=n[0];return Array.isArray(t)&&o().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&function t(e,n,r){if(r=r||[],Array.isArray(e)||M(e)){g(n.length>0,function(){return"Element arr["+r.join("][")+"] should be a primitive, but is an array of "+e.length+" elements"}),g(e.length===n[0],function(){return"Element arr["+r.join("][")+"] should have "+n[0]+" elements, but has "+e.length+" elements"});for(var a=n.slice(1),i=0;i<e.length;++i)t(e[i],a,r.concat(i))}else g(0===n.length,function(){return"Element arr["+r.join("][")+"] is a primitive, but should be an array/TypedArray of "+n[0]+" elements"})}(t,r,[]),r}function Ge(t,e,n,r){if(null!=t&&("numeric"!==t&&t!==e||"numeric"===t&&"string"===e))throw new Error("Argument '"+n+"' passed to '"+r+"' must be "+t+" tensor, but got "+e+" tensor")}function qe(t,e,n,r){if(void 0===r&&(r="numeric"),t instanceof ht)return Ge(r,t.dtype,e,n),t;var a=V(t);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),Ge(r,a,e,n),null==t||!M(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t){var i=null==t?"null":t.constructor.name;throw new Error("Argument '"+e+"' passed to '"+n+"' must be a Tensor or TensorLike, but got '"+i+"'")}var s=je(t,a);M(t)||Array.isArray(t)||(t=[t]);var u="string"!==a?q(t,a,o().getBool("DEBUG")):b(t,[],!0);return At.makeTensor(u,s,a)}function He(t,e,n,r){if(void 0===r&&(r="numeric"),!Array.isArray(t))throw new Error("Argument "+e+" passed to "+n+" must be a `Tensor[]` or `TensorLike[]`");return t.map(function(t,r){return qe(t,e+"["+r+"]",n)},r)}function Ke(t,e){for(var n=0;n<t.length;++n)if(t[t.length-n-1]!==e-1-n)return!1;return!0}function Xe(t,e,n){for(var r=t.length+e.length,a=[],i=0,o=0,s=0;s<r;s++)-1===n.indexOf(s)?a.push(t[i++]):a.push(e[o++]);return a}function $e(t,e){for(var n=[],r=t.length,a=0;a<r;a++)-1===e.indexOf(a)&&n.push(t[a]);return[n,e.map(function(e){return t[e]})]}function Ye(t,e){return Xe(t,e.map(function(t){return 1}),e)}function Je(t,e,n){g(Ke(e,n),function(){return t+" supports only inner-most axes for now. Got axes "+e+" and rank-"+n+" input."})}function Ze(t,e){if(Ke(t,e))return null;for(var n=[],r=0;r<e;++r)-1===t.indexOf(r)&&n.push(r);return t.forEach(function(t){return n.push(t)}),n}function Qe(t){return t.map(function(t,e){return[e,t]}).sort(function(t,e){return t[1]-e[1]}).map(function(t){return t[0]})}function tn(t,e){for(var n=[],r=e-t;r<e;++r)n.push(r);return n}function en(t,e){var n=t[0].length;t.forEach(function(t,e){g(t.length===n,function(){return"Error in concat"+n+"D: rank of tensors["+e+"] must be the same as the rank of the rest ("+n+")"})}),g(e>=0&&e<n,function(){return"Error in concat"+n+"D: axis must be between 0 and "+(n-1)+"."});var r=t[0];t.forEach(function(t,a){for(var i=0;i<n;i++)g(i===e||t[i]===r[i],function(){return"Error in concat"+n+"D: Shape of tensors["+a+"] ("+t+") does not match the shape of the rest ("+r+") along the non-concatenated axis "+a+"."})})}function nn(t,e){for(var n=t[0].slice(),r=1;r<t.length;r++)n[e]+=t[r][e];return n}function rn(t){var e=Object.keys(t);if(1!==e.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+e.length+" keys.");var n=e[0],r=t[n];n.endsWith("_")&&(n=n.substring(0,n.length-1));var a=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];At.startScope(n);try{var a=r.apply(void 0,t);return a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),At.endScope(a),a}catch(t){throw At.endScope(null),t}};return Object.defineProperty(a,"name",{value:n,configurable:!0}),a}Me.registerFlag("HAS_WEBGL",function(){return Me.getNumber("WEBGL_VERSION")>0}),Me.registerFlag("WEBGL_VERSION",function(){return Re(2)?2:Re(1)?1:0}),Me.registerFlag("WEBGL_BUFFER_SUPPORTED",function(){return 2===Me.get("WEBGL_VERSION")}),Me.registerFlag("WEBGL_CPU_FORWARD",function(){return!0}),Me.registerFlag("WEBGL_FORCE_F16_TEXTURES",function(){return!1}),Me.registerFlag("WEBGL_PACK",function(){return Me.getBool("HAS_WEBGL")}),Me.registerFlag("WEBGL_PACK_NORMALIZATION",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_CLIP",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_DEPTHWISECONV",function(){return!1}),Me.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_PACK_REDUCE",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_LAZILY_UNPACK",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_CONV_IM2COL",function(){return Me.getBool("WEBGL_PACK")}),Me.registerFlag("WEBGL_MAX_TEXTURE_SIZE",function(){return Ie(Me.getNumber("WEBGL_VERSION"))}),Me.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",function(){return ke(Me.getNumber("WEBGL_VERSION"))}),Me.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",function(){var t=Me.getNumber("WEBGL_VERSION");return 0===t?0:Ee(t)}),Me.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",function(){return Me.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&(t=navigator.userAgent||navigator.vendor||window.opera,!(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))));var t}),Me.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",function(){return Te(Me.getNumber("WEBGL_VERSION"))}),Me.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",function(){return!Me.getBool("WEBGL_FORCE_F16_TEXTURES")&&Me.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")}),Me.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",function(){return De(Me.getNumber("WEBGL_VERSION"))}),Me.registerFlag("WEBGL_FENCE_API_ENABLED",function(){return _e(Me.getNumber("WEBGL_VERSION"))}),Me.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",function(){return Me.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0}),pt=ze;var an=rn({complex_:function(t,e){var n=qe(t,"real","complex"),r=qe(e,"imag","complex");return v(n.shape,r.shape,"real and imag shapes, "+n.shape+" and "+r.shape+", must match in call to tf.complex()."),At.runKernelFunc(function(t){return t.complex(n,r)},{$real:n,$imag:r})}}),on=rn({real_:function(t){var e=qe(t,"input","real");return At.runKernelFunc(function(t){return t.real(e)},{$input:e})}}),sn=rn({imag_:function(t){var e=qe(t,"input","imag");return At.runKernelFunc(function(t){return t.imag(e)},{$input:e})}});function un(t,e,n){return ln(t,e,je(t,n),n)}function ln(t,e,n,r){if(null==r&&(r=V(t)),"complex64"===r)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!M(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=e){Y(e);var a=x(e),i=x(n);g(a===i,function(){return"Based on the provided shape, ["+e+"], the tensor should have "+a+" values but has "+i});for(var s=0;s<n.length;++s){var u=n[s],l=s!==n.length-1||u!==x(e.slice(s));g(n[s]===e[s]||!l,function(){return"Error creating a new Tensor. Inferred shape ("+n+") does not match the provided shape ("+e+"). "})}}return M(t)||Array.isArray(t)||(t=[t]),e=e||n,t="string"!==r?q(t,r,o().getBool("DEBUG")):b(t,[],!0),At.makeTensor(t,e,r)}function cn(t,e){if((M(t)&&"string"!==e||Array.isArray(t))&&"complex64"!==e)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===e&&M(t)&&!(t instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return ln(t,[],[],e)}function pn(t,e){y(t);var n=je(t,e);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return ln(t,null,n,e)}function hn(t,e,n){if(y(t),null!=e&&2!==e.length)throw new Error("tensor2d() requires shape to have two numbers");var r=je(t,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return ln(t,e,r,n)}function fn(t,e,n){if(y(t),null!=e&&3!==e.length)throw new Error("tensor3d() requires shape to have three numbers");var r=je(t,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return ln(t,e,r,n)}function dn(t,e,n){if(y(t),null!=e&&4!==e.length)throw new Error("tensor4d() requires shape to have four numbers");var r=je(t,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return ln(t,e,r,n)}function mn(t,e,n){if(y(t),null!=e&&5!==e.length)throw new Error("tensor5d() requires shape to have five numbers");var r=je(t,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return ln(t,e,r,n)}function gn(t,e,n){if(y(t),null!=e&&6!==e.length)throw new Error("tensor6d() requires shape to have six numbers");var r=je(t,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==e)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return ln(t,e=e||r,r,n)}function vn(t,e,n,r){return void 0===e&&(e=!0),At.makeVariable(t,e,n,r)}function yn(t,e){if(void 0===e&&(e="float32"),"complex64"===e){var n=yn(t,"float32"),r=bn(t,"float32");return an(n,r)}var a=K(x(t),e);return At.makeTensor(a,t,e)}function bn(t,e){if(void 0===e&&(e="float32"),"complex64"===e){var n=bn(t,"float32"),r=bn(t,"float32");return an(n,r)}var a=X(x(t),e);return At.makeTensor(a,t,e)}function xn(t,e,n){return At.runKernelFunc(function(r){return r.fill(t,e,n)},{})}function wn(t,e,n){if(n<=0)throw new Error("The number of values should be positive.");return At.runKernelFunc(function(r){return r.linspace(t,e,n)},{})}function Cn(t,e,n,r){if(void 0===n&&(n=1),void 0===r&&(r="float32"),0===n)throw new Error("Cannot have a step of zero");if(t===e||t<e&&n<0||e<t&&n>1)return bn([0],r);var a=X(Math.abs(Math.ceil((e-t)/n)),r);e<t&&1===n&&(n=-1),a[0]=t;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return pn(a,r)}var Nn=rn({onesLike_:function(t){var e=qe(t,"x","onesLike");if("complex64"===e.dtype){var n=Nn(on(e)),r=Sn(sn(e));return an(n,r)}return At.runKernelFunc(function(t){return t.onesLike(e)},{$x:e},function(t,e){return{$x:function(){return Sn(t)}}})}}),Sn=rn({zerosLike_:function(t){var e=qe(t,"x","zerosLike");return At.runKernelFunc(function(t){return t.zerosLike(e)},{$x:e},function(t,e){return{$x:function(){return Sn(t)}}})}}),In=rn({concat_:function(t,e){void 0===e&&(e=0),g(t.length>=1,function(){return"Pass at least one tensor to concat"});var n=He(t,"tensors","concat");"complex64"===n[0].dtype&&n.forEach(function(t){if("complex64"!==t.dtype)throw new Error("Cannot concatenate complex64 tensors with a tensor\n          with dtype "+t.dtype+". ")}),e=A(e,n[0].shape)[0];var r=nn(n.map(function(t){return t.shape}),e);if(0===x(r))return un([],r);if(1===(n=n.filter(function(t){return t.size>0})).length)return n[0];var a=n.map(function(t){return t.shape});en(a,e);var i=n;return At.runKernelFunc(function(t){return t.concat(n,e)},i,function(t){var n=a.map(function(t){return t[e]});return Tn(t,n,e).map(function(t){return function(){return t}})})}}),kn=rn({concat1d_:function(t){return In(t,0)}}),En=rn({concat2d_:function(t,e){return In(t,e)}}),An=rn({concat3d_:function(t,e){return In(t,e)}}),Rn=rn({concat4d_:function(t,e){return In(t,e)}}),Tn=rn({split_:function(t,e,n){void 0===n&&(n=0);var r,a=qe(t,"x","split");return n=A(n,a.shape)[0],"number"==typeof e?(g(a.shape[n]%e==0,function(){return"Number of splits must evenly divide the axis."}),r=new Array(e).fill(a.shape[n]/e)):(g(a.shape[n]===e.reduce(function(t,e){return t+e}),function(){return"The sum of sizes must match the size of the axis dimension."}),r=e),At.runKernelFunc(function(t){return t.split(a,r,n)},{$x:a},function(t){return{$x:function(){return In(t,n)}}})}});function Dn(t,e){return t(e={exports:{}},e.exports),e.exports}var On=Dn(function(t){!function(t,e,n){function r(t,e){return e.c=t.c,e.s0=t.s0,e.s1=t.s1,e.s2=t.s2,e}function a(t,e){var n=new function(t){var e,n=this,r=(e=4022871197,function(t){t=t.toString();for(var n=0;n<t.length;n++){var r=.02519603282416938*(e+=t.charCodeAt(n));r-=e=r>>>0,e=(r*=e)>>>0,e+=4294967296*(r-=e)}return 2.3283064365386963e-10*(e>>>0)});n.next=function(){var t=2091639*n.s0+2.3283064365386963e-10*n.c;return n.s0=n.s1,n.s1=n.s2,n.s2=t-(n.c=0|t)},n.c=1,n.s0=r(" "),n.s1=r(" "),n.s2=r(" "),n.s0-=r(t),n.s0<0&&(n.s0+=1),n.s1-=r(t),n.s1<0&&(n.s1+=1),n.s2-=r(t),n.s2<0&&(n.s2+=1),r=null}(t),a=e&&e.state,i=n.next;return i.int32=function(){return 4294967296*n.next()|0},i.double=function(){return i()+1.1102230246251565e-16*(2097152*i()|0)},i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.alea=a}(0,t)}),_n=Dn(function(t){!function(t,e,n){function r(t,e){return e.x=t.x,e.y=t.y,e.z=t.z,e.w=t.w,e}function a(t,e){var n=new function(t){var e=this,n="";e.x=0,e.y=0,e.z=0,e.w=0,e.next=function(){var t=e.x^e.x<<11;return e.x=e.y,e.y=e.z,e.z=e.w,e.w^=e.w>>>19^t^t>>>8},t===(0|t)?e.x=t:n+=t;for(var r=0;r<n.length+64;r++)e.x^=0|n.charCodeAt(r),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xor128=a}(0,t)}),Fn=Dn(function(t){!function(t,e,n){function r(t,e){return e.x=t.x,e.y=t.y,e.z=t.z,e.w=t.w,e.v=t.v,e.d=t.d,e}function a(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.x^e.x>>>2;return e.x=e.y,e.y=e.z,e.z=e.w,e.w=e.v,(e.d=e.d+362437|0)+(e.v=e.v^e.v<<4^t^t<<1)|0},e.x=0,e.y=0,e.z=0,e.w=0,e.v=0,t===(0|t)?e.x=t:n+=t;for(var r=0;r<n.length+64;r++)e.x^=0|n.charCodeAt(r),r==n.length&&(e.d=e.x<<10^e.x>>>4),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xorwow=a}(0,t)}),Mn=Dn(function(t){!function(t,e,n){function r(t,e){return e.x=t.x.slice(),e.i=t.i,e}function a(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.x,a=e.i;return t=r[a],n=(t^=t>>>7)^t<<24,n^=(t=r[a+1&7])^t>>>10,n^=(t=r[a+3&7])^t>>>3,n^=(t=r[a+4&7])^t<<7,t=r[a+7&7],n^=(t^=t<<13)^t<<9,r[a]=n,e.i=a+1&7,n},function(t,e){var n,r=[];if(e===(0|e))r[0]=e;else for(e=""+e,n=0;n<e.length;++n)r[7&n]=r[7&n]<<15^e.charCodeAt(n)+r[n+1&7]<<13;for(;r.length<8;)r.push(0);for(n=0;n<8&&0===r[n];++n);for(8==n?r[7]=-1:r[n],t.x=r,t.i=0,n=256;n>0;--n)t.next()}(e,t)}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&(a.x&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xorshift7=a}(0,t)}),zn=Dn(function(t){!function(t,e,n){function r(t,e){return e.i=t.i,e.w=t.w,e.X=t.X.slice(),e}function a(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.w,a=e.X,i=e.i;return e.w=r=r+1640531527|0,n=a[i+34&127],t=a[i=i+1&127],n^=n<<13,t^=t<<17,n^=n>>>15,t^=t>>>12,n=a[i]=n^t,e.i=i,n+(r^r>>>16)|0},function(t,e){var n,r,a,i,o,s=[],u=128;for(e===(0|e)?(r=e,e=null):(e+="\0",r=0,u=Math.max(u,e.length)),a=0,i=-32;i<u;++i)e&&(r^=e.charCodeAt((i+32)%e.length)),0===i&&(o=r),r^=r<<10,r^=r>>>15,r^=r<<4,r^=r>>>13,i>=0&&(o=o+1640531527|0,a=0==(n=s[127&i]^=r+o)?a+1:0);for(a>=128&&(s[127&(e&&e.length||0)]=-1),a=127,i=512;i>0;--i)r=s[a+34&127],n=s[a=a+1&127],r^=r<<13,n^=n<<17,r^=r>>>15,n^=n>>>12,s[a]=r^n;t.w=o,t.X=s,t.i=a}(e,t)}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&(a.X&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xor4096=a}(0,t)}),Ln=Dn(function(t){!function(t,e,n){function r(t,e){return e.a=t.a,e.b=t.b,e.c=t.c,e.d=t.d,e}function a(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.b,n=e.c,r=e.d,a=e.a;return t=t<<25^t>>>7^n,n=n-r|0,r=r<<24^r>>>8^a,a=a-t|0,e.b=t=t<<20^t>>>12^n,e.c=n=n-r|0,e.d=r<<16^n>>>16^a,e.a=a-t|0},e.a=0,e.b=0,e.c=-1640531527,e.d=1367130551,t===Math.floor(t)?(e.a=t/4294967296|0,e.b=0|t):n+=t;for(var r=0;r<n.length+20;r++)e.b^=0|n.charCodeAt(r),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.tychei=a}(0,t)}),Bn=Dn(function(t){!function(e,n){var r,a=this,i=256,o=6,s="random",u=n.pow(i,o),l=n.pow(2,52),c=2*l,p=i-1;function h(t,p,h){var v=[],y=m(function t(e,n){var r,a=[],i=typeof e;if(n&&"object"==i)for(r in e)try{a.push(t(e[r],n-1))}catch(t){}return a.length?a:"string"==i?e:e+"\0"}((p=1==p?{entropy:!0}:p||{}).entropy?[t,g(e)]:null==t?function(){try{var t;return r&&(t=r.randomBytes)?t=t(i):(t=new Uint8Array(i),(a.crypto||a.msCrypto).getRandomValues(t)),g(t)}catch(t){var n=a.navigator,o=n&&n.plugins;return[+new Date,a,o,a.screen,g(e)]}}():t,3),v),b=new f(v),x=function(){for(var t=b.g(o),e=u,n=0;t<l;)t=(t+n)*i,e*=i,n=b.g(1);for(;t>=c;)t/=2,e/=2,n>>>=1;return(t+n)/e};return x.int32=function(){return 0|b.g(4)},x.quick=function(){return b.g(4)/4294967296},x.double=x,m(g(b.S),e),(p.pass||h||function(t,e,r,a){return a&&(a.S&&d(a,b),t.state=function(){return d(b,{})}),r?(n[s]=t,e):t})(x,y,"global"in p?p.global:this==n,p.state)}function f(t){var e,n=t.length,r=this,a=0,o=r.i=r.j=0,s=r.S=[];for(n||(t=[n++]);a<i;)s[a]=a++;for(a=0;a<i;a++)s[a]=s[o=p&o+t[a%n]+(e=s[a])],s[o]=e;(r.g=function(t){for(var e,n=0,a=r.i,o=r.j,s=r.S;t--;)e=s[a=p&a+1],n=n*i+s[p&(s[a]=s[o=p&o+e])+(s[o]=e)];return r.i=a,r.j=o,n})(i)}function d(t,e){return e.i=t.i,e.j=t.j,e.S=t.S.slice(),e}function m(t,e){for(var n,r=t+"",a=0;a<r.length;)e[p&a]=p&(n^=19*e[p&a])+r.charCodeAt(a++);return g(e)}function g(t){return String.fromCharCode.apply(0,t)}if(n["seed"+s]=h,m(n.random(),e),t.exports){t.exports=h;try{r=require("crypto")}catch(t){}}}([],Math)});Bn.alea=On,Bn.xor128=_n,Bn.xorwow=Fn,Bn.xorshift7=Mn,Bn.xor4096=zn,Bn.tychei=Ln;var Pn=Bn.alea,Wn=function(){function t(t,e,n,r,a){this.mean=t,this.stdDev=e,this.dtype=n,this.nextVal=NaN,this.truncated=r,this.truncated&&(this.upper=this.mean+2*this.stdDev,this.lower=this.mean-2*this.stdDev);var i=a||Math.random();this.random=Pn(i.toString())}return t.prototype.nextValue=function(){if(!isNaN(this.nextVal)){var t=this.nextVal;return this.nextVal=NaN,t}for(var e,n,r=!1;!r;){var a=void 0,i=void 0,o=void 0;do{o=(a=2*this.random()-1)*a+(i=2*this.random()-1)*i}while(o>=1||0===o);var s=Math.sqrt(-2*Math.log(o)/o);e=this.mean+this.stdDev*a*s,n=this.mean+this.stdDev*i*s,this.truncated&&!this.isValidTruncated(e)||(r=!0)}return this.truncated&&!this.isValidTruncated(n)||(this.nextVal=this.convertValue(n)),this.convertValue(e)},t.prototype.convertValue=function(t){return null==this.dtype||"float32"===this.dtype?t:Math.round(t)},t.prototype.isValidTruncated=function(t){return t<=this.upper&&t>=this.lower},t}(),Vn=function(){function t(t,e,n,r){this.alpha=t,this.beta=1/e,this.dtype=n;var a=r||Math.random();this.randu=Pn(a.toString()),this.randn=new Wn(0,1,n,!1,this.randu()),this.d=t<1?t+2/3:t-1/3,this.c=1/Math.sqrt(9*this.d)}return t.prototype.nextValue=function(){for(var t,e,n,r,a,i;;){do{r=this.randn.nextValue(),i=1+this.c*r}while(i<=0);if(i*=i*i,e=1-.331*(t=r*r)*t,n=.5*t+this.d*(1-i+Math.log(i)),(a=this.randu())<e||Math.log(a)<n)break}return i=1/this.beta*this.d*i,this.alpha<1&&(i*=Math.pow(this.randu(),1/this.alpha)),this.convertValue(i)},t.prototype.convertValue=function(t){return"float32"===this.dtype?t:Math.round(t)},t}(),Un=function(){function t(t,e,n,r){var a=this;if(void 0===t&&(t=0),void 0===e&&(e=1),this.canReturnFloat=function(){return null==a.dtype||"float32"===a.dtype},this.min=t,this.range=e-t,this.dtype=n,null==r&&(r=Math.random()),"number"==typeof r&&(r=r.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error("The difference between "+t+" - "+e+" <= 1 and dtype is not float");this.random=Pn(r)}return t.prototype.convertValue=function(t){return this.canReturnFloat()?t:Math.round(t)},t.prototype.nextValue=function(){return this.convertValue(this.min+this.range*this.random())},t}();function jn(t,e,n){return void 0===e&&(e="float32"),e=e||"float32",Y(t),new ut(t,e,n)}function Gn(t,e){void 0===e&&(e=!1),console.log(t.toString(e))}var qn=rn({batchToSpaceND_:function(t,e,n){var r=qe(t,"x","batchToSpaceND"),a=e.reduce(function(t,e){return t*e});return g(r.rank>=1+e.length,function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+e.length}),g(n.length===e.length,function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+e.length}),g(r.shape[0]%a==0,function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+e.join(" * ")+" === "+a}),At.runKernelFunc(function(t){return t.batchToSpaceND(r,e,n)},{$x:r},function(t){return{$x:function(){return t.spaceToBatchND(e,n)}}})}}),Hn=rn({cast_:function(t,e){var n=qe(t,"x","cast");if(!_(e))throw new Error("Failed to cast to unknown dtype "+e);if("string"===e&&"string"!==n.dtype||"string"!==e&&"string"===n.dtype)throw new Error("Only strings can be casted to strings");var r={dtype:e};return At.runKernelFunc(function(t){return t.cast(n,e)},{x:n},function(t){return{x:function(){return t.clone()}}},"Cast",r)}}),Kn=rn({clone_:function(t){var e=qe(t,"x","clone",null);return At.runKernelFunc(function(){return At.makeTensorFromDataId(e.dataId,e.shape,e.dtype)},{$x:e},function(t){return{$x:function(){return t.toFloat()}}})}}),Xn=rn({cumsum_:function(t,e,n,r){void 0===e&&(e=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=qe(t,"x","cumsum"),i=Ze([e|=0],a.rank),o=a;null!=i&&(o=a.transpose(i));var s=tn(1,a.rank)[0],u=At.runKernelFunc(function(t){return t.cumsum(o,s,n,r)},{permutedX:o},function(t){return{permutedX:function(){return t.cumsum(e,n,!r)}}});return null!=i&&(u=u.transpose(i)),u}}),$n=rn({depthToSpace_:function(t,e,n){void 0===n&&(n="NHWC");var r=qe(t,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];return g(a*e>=0,function(){return"Negative dimension size caused by overflow when multiplying\n      "+a+" and "+e+"  for depthToSpace with input shape\n      "+r.shape}),g(i*e>=0,function(){return"Negative dimension size caused by overflow when multiplying\n      "+i+" and "+e+" for depthToSpace with input shape\n          "+r.shape}),g(o%(e*e)==0,function(){return"Dimension size must be evenly divisible by "+e*e+" but is "+o+" for depthToSpace with input shape "+r.shape}),At.runKernelFunc(function(t){return t.depthToSpace(r,e,n)},{$x:r})}}),Yn=rn({expandDims_:function(t,e){void 0===e&&(e=0);var n=qe(t,"x","expandDims",null);g(e<=n.rank,function(){return"Axis must be <= rank of the tensor"});var r=n.shape.slice();return e<0&&(g(-(n.rank+1)<=e,function(){return"Axis must be in the interval ["+-(n.rank+1)+", "+n.rank+"]"}),e=n.rank+e+1),r.splice(e,0,1),lr(n,r)}}),Jn=rn({eye_:function(t,e,n,r){void 0===r&&(r="float32"),null==e&&(e=t);for(var a=jn([t,e],r),i=t<=e?t:e,o=0;o<i;++o)a.set(1,o,o);var s=a.toTensor().as2D(t,e);if(null==n)return s;if(1===n.length)return fr(Yn(s,0),[n[0],1,1]);if(2===n.length)return fr(Yn(Yn(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return fr(Yn(Yn(Yn(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}}),Zn=rn({multinomial_:function(t,e,n,r){void 0===r&&(r=!1);var a=qe(t,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s=1===o?a.as2D(1,-1):a,u=At.runKernelFunc(function(t){return t.multinomial(s,r,e,n)},{logits2D:s});return 1===o?u.as1D():u}}),Qn=rn({oneHot_:function(t,e,n,r){if(void 0===n&&(n=1),void 0===r&&(r=0),e<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+e);var a=qe(t,"indices","oneHot","int32"),i=a.shape.concat([e]);return a=a.flatten(),At.runKernelFunc(function(t){return t.oneHot(a,e,n,r)},{$indices:a},function(t){return{$indices:function(){return bn(a.shape,"float32")}}}).reshape(i)}}),tr=rn({pad_:function(t,e,n){void 0===n&&(n=0);var r=qe(t,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var a=e.map(function(t){return t[0]});return At.runKernelFunc(function(t){return t.pad(r,e,n)},{$x:r},function(t){return{$x:function(){return t.slice(a,r.shape)}}})}}),er=rn({pad1d_:function(t,e,n){return void 0===n&&(n=0),g(2===e.length,function(){return"Invalid number of paddings. Must be length of 2."}),tr(t,[e],n)}}),nr=rn({pad2d_:function(t,e,n){return void 0===n&&(n=0),g(2===e.length&&2===e[0].length&&2===e[1].length,function(){return"Invalid number of paddings. Must be length of 2 each."}),tr(t,e,n)}}),rr=rn({pad3d_:function(t,e,n){return void 0===n&&(n=0),g(3===e.length&&2===e[0].length&&2===e[1].length&&2===e[2].length,function(){return"Invalid number of paddings. Must be length of 2 each."}),tr(t,e,n)}}),ar=rn({pad4d_:function(t,e,n){return void 0===n&&(n=0),g(4===e.length&&2===e[0].length&&2===e[1].length&&2===e[2].length&&2===e[3].length,function(){return"Invalid number of paddings. Must be length of 2 each."}),tr(t,e,n)}}),ir=rn({rand_:function(t,e,n){var r=x(t),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=e();return At.makeTensor(a,t,n)}}),or=rn({randomNormal_:function(t,e,n,r,a){if(void 0===e&&(e=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new Wn(e,n,r,!1,a),o=jn(t,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),sr=rn({randomGamma_:function(t,e,n,r,a){if(void 0===n&&(n=1),void 0===r&&(r="float32"),null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type "+r);for(var i=new Vn(e,n,r,a),o=jn(t,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),ur=rn({randomUniform_:function(t,e,n,r,a){void 0===e&&(e=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var i=jn(t,r),o=new Un(e,n,null,a),s=0;s<i.values.length;s++)i.values[s]=o.nextValue();return i.toTensor()}}),lr=rn({reshape_:function(t,e){var n=qe(t,"x","reshape",null);e=E(e,n.size),g(n.size===x(e),function(){return"new shape and old shape must have the same number of elements."});var r={shape:e};return At.runKernelFunc(function(t){return t.reshape(n,e)},{x:n},function(t){return{x:function(){return t.reshape(n.shape)}}},"Reshape",r)}}),cr=rn({spaceToBatchND_:function(t,e,n){var r=qe(t,"x","spaceToBatchND");return g(r.rank>=1+e.length,function(){return"input rank "+r.rank+" should be > than [blockShape] "+e.length}),g(n.length===e.length,function(){return"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+e.length}),g(r.shape.reduce(function(t,r,a){return a>0&&a<=e.length?t&&(r+n[a-1][0]+n[a-1][1])%e[a-1]==0:t},!0),function(){return"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+e.toString()}),At.runKernelFunc(function(t){return t.spaceToBatchND(r,e,n)},{$x:r},function(t){return{$x:function(){return t.batchToSpaceND(e,n)}}})}}),pr=rn({squeeze_:function(t,e){var n=qe(t,"x","squeeze");return lr(n,R(n.shape,e).newShape)}}),hr=rn({stack_:function(t,e){void 0===e&&(e=0);var n=He(t,"tensors","stack");if(g(n.length>=1,function(){return"Pass at least one tensor to tf.stack"}),1===n.length)return n[0].expandDims(e);var r=n[0].rank,a=n[0].shape,i=n[0].dtype;g(e<=r,function(){return"Axis must be <= rank of the tensor"}),n.forEach(function(t){v(a,t.shape,"All tensors passed to stack must have matching shapes")}),n.forEach(function(t){g(i===t.dtype,function(){return"All tensors passed to stack must have matching dtypes"})});var o=n.map(function(t){return t.expandDims(e)});return In(o,e)}}),fr=rn({tile_:function(t,e){var n=qe(t,"x","tile",null);return g(n.rank===e.length,function(){return"Error in transpose: rank of input "+n.rank+" must match length of reps "+e+"."}),At.runKernelFunc(function(t,r){var a=t.tile(n,e);return r([n]),a},{$x:n},function(t,n){var r=n[0];return{$x:function(){var n=Sn(r);if(1===r.rank)for(var a=0;a<e[0];++a)n=n.add(t.slice([a*r.shape[0]],[r.shape[0]]));else if(2===r.rank)for(a=0;a<e[0];++a)for(var i=0;i<e[1];++i)n=n.add(t.slice([a*r.shape[0],i*r.shape[1]],[r.shape[0],r.shape[1]]));else if(3===r.rank)for(a=0;a<e[0];++a)for(i=0;i<e[1];++i)for(var o=0;o<e[2];++o)n=n.add(t.slice([a*r.shape[0],i*r.shape[1],o*r.shape[2]],[r.shape[0],r.shape[1],r.shape[2]]));else{if(4!==r.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+r.rank+" tensors yet.");for(a=0;a<e[0];++a)for(i=0;i<e[1];++i)for(o=0;o<e[2];++o)for(var s=0;s<e[3];++s)n=n.add(t.slice([a*r.shape[0],i*r.shape[1],o*r.shape[2],s*r.shape[3]],[r.shape[0],r.shape[1],r.shape[2],r.shape[3]]))}return n}}})}}),dr=rn({truncatedNormal_:function(t,e,n,r,a){if(void 0===e&&(e=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new Wn(e,n,r,!0,a),o=jn(t,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),mr=rn({unstack_:function(t,e){void 0===e&&(e=0),e=e||0;var n=qe(t,"x","unstack");return g(e>=-n.shape.length&&e<n.shape.length,function(){return"Axis = "+e+" is not in [-"+n.shape.length+", "+n.shape.length+")"}),e<0&&(e+=n.shape.length),At.runKernelFunc(function(t){return t.unstack(n,e)},{$x:n},function(t){return{$x:function(){return hr(t,e)}}})}}),gr=function(t,e){return r(this,void 0,void 0,function(){var n,r,i,o,s,u,l,c,p,h;return a(this,function(a){switch(a.label){case 0:return n=qe(t,"x","setdiff1d"),r=qe(e,"y","setdiff1d"),g(n.dtype===r.dtype,function(){return"x and y should have the same dtype, but got x ("+n.dtype+") and y ("+r.dtype+")."}),g(1===n.rank,function(){return"x should be 1D tensor, but got x ("+n.shape+")."}),g(1===r.rank,function(){return"y should be 1D tensor, but got y ("+r.shape+")."}),[4,n.data()];case 1:return i=a.sent(),[4,r.data()];case 2:for(o=a.sent(),s=new Set(o),u=0,p=0;p<i.length;p++)s.has(i[p])||u++;for(l=new ut([u],n.dtype),c=new ut([u],"int32"),p=0,h=0;p<i.length;p++)s.has(i[p])||(l.values[h]=i[p],c.values[h]=p,h++);return[2,[l.toTensor(),c.toTensor()]]}})})};function vr(t,e,n,r){void 0===r&&(r=!0);var a=[];if(r)(a=a.concat(e.slice(0))).push(t[0]/n),a=a.concat(t.slice(1));else{a=a.concat(t[0]);for(var i=e.length,o=0;o<i;++o)a=a.concat([t[o+1]/e[o],e[o]]);a=a.concat(t.slice(i+1))}return a}function yr(t,e,n){void 0===n&&(n=!0);var r=[];if(n){r.push(e);for(var a=e+1;a<t;++a)a<=2*e?(r.push(a),r.push(a-(e+1))):r.push(a)}else{var i=[],o=[];for(a=1;a<t;++a)a>=2*e+1||a%2==1?o.push(a):i.push(a);r.push.apply(r,i),r.push(0),r.push.apply(r,o)}return r}function br(t,e,n,r){void 0===r&&(r=!0);var a=[];r?a.push(t[0]/n):a.push(t[0]*n);for(var i=1;i<t.length;++i)i<=e.length?r?a.push(e[i-1]*t[i]):a.push(t[i]/e[i-1]):a.push(t[i]);return a}function xr(t,e){for(var n=[0],r=0;r<e;++r)n.push(t[r][0]);return n}function wr(t,e,n){for(var r=t.slice(0,1),a=0;a<n;++a)r.push(t[a+1]-e[a][0]-e[a][1]);return r}function Cr(t,e){if(t.rank<1)throw new Error("tf.gatherND() expects the input to be rank 1 or higher, but the rank was "+t.rank+".");if(e.rank<1)throw new Error("tf.gatherND() expects the indices to be rank 1 or higher, but the rank was "+e.rank+".");if("int32"!==e.dtype)throw new Error("tf.gatherND() expects the indices to be int32 type, but the dtype was "+e.dtype+".");if(e.shape[e.rank-1]>t.rank)throw new Error("index innermost dimension length must be <= tensor rank; saw: "+e.shape[e.rank-1]+" vs. "+t.rank);if(0===t.size)throw new Error("Requested more than 0 entries, but input is empty. Input shape: "+t.shape+".");for(var n=e.shape,r=n[n.length-1],a=1,i=0;i<n.length-1;++i)a*=n[i];var o=t.shape,s=n.slice();s.pop();var u=1;for(i=r;i<t.rank;++i)u*=o[i],s.push(o[i]);var l=G(t.shape).map(function(t){return t/u}).concat([1]).slice(0,r);return[s,a,u,l]}var Nr=30;function Sr(t){return t<=Nr?t:j(t,Math.floor(Math.sqrt(t)))}function Ir(t,e,n){for(var r=e.rank>1?e.shape[e.rank-1]:1,a=n.length,i=1,o=r;o<a;++o)i*=n[o];var s=r<1?1:r;return{sliceRank:r,numUpdates:e.size/s,sliceSize:i,strides:G(n.slice(0,r)).concat([1]),outputSize:x(n)}}function kr(t,e,n){g(t.rank===e.length,function(){return"Error in slice"+t.rank+"D: Length of begin "+e+" must match the rank of the array ("+t.rank+")."}),g(t.rank===n.length,function(){return"Error in slice"+t.rank+"D: Length of size "+n+" must match the rank of the array ("+t.rank+")."});for(var r=function(r){g(e[r]+n[r]<=t.shape[r],function(){return"Error in slice"+t.rank+"D: begin["+r+"] + size["+r+"] ("+(e[r]+n[r])+") would overflow input.shape["+r+"] ("+t.shape[r]+")"})},a=0;a<t.rank;++a)r(a)}function Er(t){for(var e=[],n=0;t>0;)1&t&&e.push(n),t/=2,n++;return e}function Ar(t,e,n){for(var r=[],a=0;a<t.length;a++)r[a]=Math.ceil((e[a]-t[a])/n[a]);return r}function Rr(t,e,n,r,a){var i=e[a],o=n[a]||1;(t&1<<a||null==i)&&(i=o>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var s=r[a];return i<0&&(i+=s),f(0,i,s-1)}function Tr(t,e,n,r,a){var i=e[a],o=n[a]||1;(t&1<<a||null==i)&&(i=o>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var s=r[a];return i<0&&(i+=s),o>0?f(0,i,s):f(-1,i,s-1)}function Dr(t,e,n){for(var r=n.length,a=0;a<n.length;a++)if(n[a]>1){r=a;break}for(a=r+1;a<n.length;a++)if(e[a]>0||n[a]!==t[a])return!1;return!0}function Or(t,e){for(var n=t.length>0?t[t.length-1]:1,r=0;r<t.length-1;r++)n+=t[r]*e[r];return n}var _r=Object.freeze({assertParamsValid:kr,maskToAxes:Er,computeOutShape:Ar,startForAxis:Rr,stopForAxis:Tr,isSliceContinous:Dr,computeFlatOffset:Or});function Fr(t,e){g(U(t),function(){return"The f passed in variableGrads(f) must be a function"}),g(null==e||Array.isArray(e)&&e.every(function(t){return t instanceof vt}),function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"});var n=null!=e;if(!n)for(var r in e=[],At.registeredVariables)e.push(At.registeredVariables[r]);var a=n?e.filter(function(t){return!t.trainable}):null,i=e.length;g((e=e.filter(function(t){return t.trainable})).length>0,function(){return"variableGrads() expects at least one of the input variables to be trainable, but none of the "+i+" variables is trainable."});var o=At.gradients(t,e,null,!0),s=o.value,u=o.grads;g(u.some(function(t){return null!=t}),function(){return"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."}),g(0===s.rank,function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+s.rank+" tensor"});var l={};return e.forEach(function(t,e){null!=u[e]&&(l[t.name]=u[e])}),null!=a&&a.forEach(function(t){return l[t.name]=null}),{value:s,grads:l}}function Mr(t){return At.customGrad(t)}function zr(t){if(t.filter(function(t){return null==t}).length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.")}var Lr=rn({softmax_:function(t,e){void 0===e&&(e=-1);var n=qe(t,"logits","softmax");if(-1===e&&(e=n.rank-1),e!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and dim was "+e);return Mr(function(t,n){var r=t.logSumExp([e],!0),a=t.toFloat().sub(r).exp();return n([a]),{value:a,gradFunc:function(t,n){var r=n[0],a=t.mul(r);return a.sub(a.sum([e],!0).mul(r))}}})(n)}}),Br=rn({logSoftmax_:function(t,e){void 0===e&&(e=-1);var n=qe(t,"logits","logSoftmax");if(-1===e&&(e=n.rank-1),e!==n.rank-1)throw Error("Log Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and axis was "+e);return Mr(function(t,n){var r=t.max(e,!0),a=t.sub(r),i=a.toFloat().sub(a.exp().sum(e,!0).log());return n([i]),{value:i,gradFunc:function(t,n){var r=n[0].exp();return t.sub(t.sum(e,!0).mul(r))}}})(n)}}),Pr=function(){function t(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}return t.prototype.get=function(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)},t.prototype.set=function(t,e){this.dataIdsCount++,this.data.set(t,e)},t.prototype.has=function(t){return this.data.has(t)},t.prototype.delete=function(t){return this.dataIdsCount--,this.data.delete(t)},t.prototype.numDataIds=function(){return this.dataIdsCount},t}(),Wr=function(){function t(){}return t.prototype.time=function(t){return Vr()},t.prototype.read=function(t){return Vr()},t.prototype.readSync=function(t){return Vr()},t.prototype.numDataIds=function(){return Vr()},t.prototype.disposeData=function(t){return Vr()},t.prototype.fromPixels=function(t,e){return Vr()},t.prototype.write=function(t,e,n){return Vr()},t.prototype.move=function(t,e,n,r){return Vr()},t.prototype.memory=function(){return Vr()},t.prototype.floatPrecision=function(){return Vr()},t.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},t.prototype.batchMatMul=function(t,e,n,r){return Vr()},t.prototype.fusedBatchMatMul=function(t){return t.a,t.b,t.transposeA,t.transposeB,t.bias,t.activation,t.preluActivationWeights,Vr()},t.prototype.slice=function(t,e,n){return Vr()},t.prototype.stridedSlice=function(t,e,n,r){return Vr()},t.prototype.unstack=function(t,e){return Vr()},t.prototype.reverse=function(t,e){return Vr()},t.prototype.concat=function(t,e){return Vr()},t.prototype.neg=function(t){return Vr()},t.prototype.add=function(t,e){return Vr()},t.prototype.addN=function(t){return Vr()},t.prototype.subtract=function(t,e){return Vr()},t.prototype.multiply=function(t,e){return Vr()},t.prototype.realDivide=function(t,e){return Vr()},t.prototype.floorDiv=function(t,e){return Vr()},t.prototype.sum=function(t,e){return Vr()},t.prototype.prod=function(t,e){return Vr()},t.prototype.unsortedSegmentSum=function(t,e,n){return Vr()},t.prototype.argMin=function(t,e){return Vr()},t.prototype.argMax=function(t,e){return Vr()},t.prototype.equal=function(t,e){return Vr()},t.prototype.notEqual=function(t,e){return Vr()},t.prototype.less=function(t,e){return Vr()},t.prototype.lessEqual=function(t,e){return Vr()},t.prototype.greater=function(t,e){return Vr()},t.prototype.greaterEqual=function(t,e){return Vr()},t.prototype.logicalNot=function(t){return Vr()},t.prototype.logicalAnd=function(t,e){return Vr()},t.prototype.logicalOr=function(t,e){return Vr()},t.prototype.where=function(t){return Vr()},t.prototype.select=function(t,e,n){return Vr()},t.prototype.topk=function(t,e,n){return Vr()},t.prototype.min=function(t,e){return Vr()},t.prototype.minimum=function(t,e){return Vr()},t.prototype.mod=function(t,e){return Vr()},t.prototype.max=function(t,e){return Vr()},t.prototype.maximum=function(t,e){return Vr()},t.prototype.all=function(t,e){return Vr()},t.prototype.any=function(t,e){return Vr()},t.prototype.squaredDifference=function(t,e){return Vr()},t.prototype.ceil=function(t){return Vr()},t.prototype.floor=function(t){return Vr()},t.prototype.round=function(t){return Vr()},t.prototype.sign=function(t){return Vr()},t.prototype.isNaN=function(t){return Vr()},t.prototype.isInf=function(t){return Vr()},t.prototype.isFinite=function(t){return Vr()},t.prototype.pow=function(t,e){return Vr()},t.prototype.exp=function(t){return Vr()},t.prototype.expm1=function(t){return Vr()},t.prototype.log=function(t){return Vr()},t.prototype.log1p=function(t){return Vr()},t.prototype.sqrt=function(t){return Vr()},t.prototype.rsqrt=function(t){return Vr()},t.prototype.square=function(t){return Vr()},t.prototype.reciprocal=function(t){return Vr()},t.prototype.relu=function(t){return Vr()},t.prototype.relu6=function(t){return Vr()},t.prototype.prelu=function(t,e){return Vr()},t.prototype.elu=function(t){return Vr()},t.prototype.eluDer=function(t,e){return Vr()},t.prototype.selu=function(t){return Vr()},t.prototype.int=function(t){return Vr()},t.prototype.clip=function(t,e,n){return Vr()},t.prototype.abs=function(t){return Vr()},t.prototype.complexAbs=function(t){return Vr()},t.prototype.sigmoid=function(t){return Vr()},t.prototype.softplus=function(t){return Vr()},t.prototype.sin=function(t){return Vr()},t.prototype.cos=function(t){return Vr()},t.prototype.tan=function(t){return Vr()},t.prototype.asin=function(t){return Vr()},t.prototype.acos=function(t){return Vr()},t.prototype.atan=function(t){return Vr()},t.prototype.atan2=function(t,e){return Vr()},t.prototype.sinh=function(t){return Vr()},t.prototype.cosh=function(t){return Vr()},t.prototype.tanh=function(t){return Vr()},t.prototype.asinh=function(t){return Vr()},t.prototype.acosh=function(t){return Vr()},t.prototype.atanh=function(t){return Vr()},t.prototype.erf=function(t){return Vr()},t.prototype.step=function(t,e){return Vr()},t.prototype.fusedConv2d=function(t){return t.input,t.filter,t.convInfo,t.bias,t.activation,t.preluActivationWeights,Vr()},t.prototype.conv2d=function(t,e,n){return Vr()},t.prototype.conv2dDerInput=function(t,e,n){return Vr()},t.prototype.conv2dDerFilter=function(t,e,n){return Vr()},t.prototype.fusedDepthwiseConv2D=function(t){return t.input,t.filter,t.convInfo,t.bias,t.activation,t.preluActivationWeights,Vr()},t.prototype.depthwiseConv2D=function(t,e,n){return Vr()},t.prototype.depthwiseConv2DDerInput=function(t,e,n){return Vr()},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){return Vr()},t.prototype.conv3d=function(t,e,n){return Vr()},t.prototype.conv3dDerInput=function(t,e,n){return Vr()},t.prototype.conv3dDerFilter=function(t,e,n){return Vr()},t.prototype.maxPool=function(t,e){return Vr()},t.prototype.maxPoolBackprop=function(t,e,n,r){return Vr()},t.prototype.avgPool=function(t,e){return Vr()},t.prototype.avgPoolBackprop=function(t,e,n){return Vr()},t.prototype.avgPool3d=function(t,e){return Vr()},t.prototype.avgPool3dBackprop=function(t,e,n){return Vr()},t.prototype.maxPool3d=function(t,e){return Vr()},t.prototype.maxPool3dBackprop=function(t,e,n,r){return Vr()},t.prototype.reshape=function(t,e){return Vr()},t.prototype.cast=function(t,e){return Vr()},t.prototype.tile=function(t,e){return Vr()},t.prototype.pad=function(t,e,n){return Vr()},t.prototype.transpose=function(t,e){return Vr()},t.prototype.gather=function(t,e,n){return Vr()},t.prototype.gatherND=function(t,e){return Vr()},t.prototype.scatterND=function(t,e,n){return Vr()},t.prototype.batchToSpaceND=function(t,e,n){return Vr()},t.prototype.spaceToBatchND=function(t,e,n){return Vr()},t.prototype.resizeBilinear=function(t,e,n,r){return Vr()},t.prototype.resizeBilinearBackprop=function(t,e,n){return Vr()},t.prototype.resizeNearestNeighbor=function(t,e,n,r){return Vr()},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){return Vr()},t.prototype.batchNormalization=function(t,e,n,r,a,i){return Vr()},t.prototype.localResponseNormalization4D=function(t,e,n,r,a){return Vr()},t.prototype.LRNGrad=function(t,e,n,r,a,i,o){return Vr()},t.prototype.multinomial=function(t,e,n,r){return Vr()},t.prototype.oneHot=function(t,e,n,r){return Vr()},t.prototype.cumsum=function(t,e,n,r){return Vr()},t.prototype.nonMaxSuppression=function(t,e,n,r,a){return Vr()},t.prototype.fft=function(t){return Vr()},t.prototype.ifft=function(t){return Vr()},t.prototype.complex=function(t,e){return Vr()},t.prototype.real=function(t){return Vr()},t.prototype.imag=function(t){return Vr()},t.prototype.cropAndResize=function(t,e,n,r,a,i){return Vr()},t.prototype.depthToSpace=function(t,e,n){return Vr()},t.prototype.split=function(t,e,n){return Vr()},t.prototype.sparseToDense=function(t,e,n,r){return Vr()},t.prototype.diag=function(t){return Vr()},t.prototype.fill=function(t,e,n){throw new Error("Not yet implemented.")},t.prototype.onesLike=function(t){return Vr()},t.prototype.zerosLike=function(t){return Vr()},t.prototype.linspace=function(t,e,n){return Vr()},t.prototype.dispose=function(){return Vr()},t}();function Vr(){throw new Error("Not yet implemented or not found in the registry. Did you forget to import the kernel?")}function Ur(t,e){for(var n=t.length,r=[],a=0;a<n;a++){var i=n-1-a,o=t[i]||1;(e[e.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function jr(t,e){for(var n=[],r=0;r<e.length;r++){var a=t[t.length-r-1],i=e.length-r-1,o=e[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Gr(t,e){for(var n=[],r=Math.max(t.length,e.length),a=0;a<r;a++){var i=t[t.length-a-1];null==i&&(i=1);var o=e[e.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+t+" and "+e+".");n.unshift(i)}}return n}function qr(t,e,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=Yr(e),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,t[3],t[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,t[1],t[1]]}return Kr(t,s,n,r,a,i,!1,o)}function Hr(t,e,n,r,a,i,o){void 0===o&&(o="NDHWC");var s,u,l=Jr(e),c=l[0],p=l[1],h=l[2];if("NDHWC"===o)u="channelsLast",s=[c,p,h,t[4],t[4]];else{if("NCDHW"!==o)throw new Error("Unknown dataFormat "+o);u="channelsFirst",s=[c,p,h,t[1],t[1]]}return Xr(t,s,n,r,a,!1,u,i)}function Kr(t,e,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],h=u[3];if("channelsLast"===s)l=t[0],c=t[1],p=t[2],h=t[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=t[0],h=t[1],c=t[2],p=t[3]}var f,d=e[0],m=e[1],v=e[3],y=Yr(n),b=y[0],x=y[1],w=Yr(r),N=w[0],S=w[1],I=Zr(d,N),k=Zr(m,S),E=function(t,e,n,r,a,i,o,s){var u,l,c;if("number"==typeof t){u={top:t,bottom:t,left:t,right:t,type:0===t?"VALID":"NUMBER"};var p=function(t,e,n,r,a){null==r&&(r=$r(t,e,n));var i=t[1],o=Qr((t[0]-e+2*r)/n+1,a);g(C(o),function(){return"The output # of rows ("+o+") must be an integer. Change the stride and/or zero pad parameters"});var s=Qr((i-e+2*r)/n+1,a);return g(C(s),function(){return"The output # of columns ("+s+") must be an integer. Change the stride and/or zero pad parameters"}),[o,s]}([e,n],i,r,t,s);l=p[0],c=p[1]}else if("same"===t){l=Math.ceil(e/r),c=Math.ceil(n/a);var h=Math.max(0,(l-1)*r+i-e),f=Math.max(0,(c-1)*a+o-n),d=Math.floor(h/2),m=h-d,v=Math.floor(f/2);u={top:d,bottom:m,left:v,right:f-v,type:"SAME"}}else{if("valid"!==t)throw Error("Unknown padding parameter: "+t);u={top:0,bottom:0,left:0,right:0,type:"VALID"},l=Math.ceil((e-i+1)/r),c=Math.ceil((n-o+1)/a)}return{padInfo:u,outHeight:l,outWidth:c}}(a,c,p,b,x,I,k,i),A=E.padInfo,R=E.outHeight,T=E.outWidth,D=o?v*h:v;return"channelsFirst"===s?f=[l,D,R,T]:"channelsLast"===s&&(f=[l,R,T,D]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:h,outHeight:R,outWidth:T,outChannels:D,padInfo:A,strideHeight:b,strideWidth:x,filterHeight:d,filterWidth:m,effectiveFilterHeight:I,effectiveFilterWidth:k,dilationHeight:N,dilationWidth:S,inShape:t,outShape:f,filterShape:e}}function Xr(t,e,n,r,a,i,o,s){void 0===i&&(i=!1),void 0===o&&(o="channelsLast");var u=[-1,-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],h=u[3],f=u[4];if("channelsLast"===o)l=t[0],c=t[1],p=t[2],h=t[3],f=t[4];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);l=t[0],f=t[1],c=t[2],p=t[3],h=t[4]}var d,m=e[0],v=e[1],y=e[2],b=e[4],x=Jr(n),w=x[0],N=x[1],S=x[2],I=Jr(r),k=I[0],E=I[1],A=I[2],R=Zr(m,k),T=Zr(v,E),D=Zr(y,A),O=function(t,e,n,r,a,i,o,s,u,l,c){var p,h,f,d;if("number"==typeof t){p={top:t,bottom:t,left:t,right:t,front:t,back:t,type:0===t?"VALID":"NUMBER"};var m=function(t,e,n,r,a,i){null==a&&(a=$r(t,e,r));var o=t[1],s=t[2],u=Qr((t[0]-e+2*a)/r+1,i);g(C(u),function(){return"The output # of depths ("+u+") must be an integer. Change the stride and/or zero pad parameters"});var l=Qr((o-e+2*a)/r+1,i);g(C(l),function(){return"The output # of rows ("+l+") must be an integer. Change the stride and/or zero pad parameters"});var c=Qr((s-e+2*a)/r+1,i);return g(C(c),function(){return"The output # of columns ("+c+") must be an integer. Change the stride and/or zero pad parameters"}),[u,l,c,1]}([e,n,r,1],s,0,a,t,c);h=m[0],f=m[1],d=m[2]}else if("same"===t){var v=((h=Math.ceil(e/a))-1)*a+s-e,y=((f=Math.ceil(n/i))-1)*i+u-n,b=((d=Math.ceil(r/o))-1)*o+l-r,x=Math.floor(v/2),w=v-x,N=Math.floor(y/2),S=y-N,I=Math.floor(b/2);p={top:N,bottom:S,left:I,right:b-I,front:x,back:w,type:"SAME"}}else{if("valid"!==t)throw Error("Unknown padding parameter: "+t);p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},h=Math.ceil((e-s+1)/a),f=Math.ceil((n-u+1)/i),d=Math.ceil((r-l+1)/o)}return{padInfo:p,outDepth:h,outHeight:f,outWidth:d}}(a,c,p,h,w,N,S,R,T,D,s),_=O.padInfo,F=O.outDepth,M=O.outHeight,z=O.outWidth,L=i?b*f:b;return"channelsFirst"===o?d=[l,L,F,M,z]:"channelsLast"===o&&(d=[l,F,M,z,L]),{batchSize:l,dataFormat:o,inDepth:c,inHeight:p,inWidth:h,inChannels:f,outDepth:F,outHeight:M,outWidth:z,outChannels:L,padInfo:_,strideDepth:w,strideHeight:N,strideWidth:S,filterDepth:m,filterHeight:v,filterWidth:y,effectiveFilterDepth:R,effectiveFilterHeight:T,effectiveFilterWidth:D,dilationDepth:k,dilationHeight:E,dilationWidth:A,inShape:t,outShape:d,filterShape:e}}function $r(t,e,n,r){void 0===r&&(r=1);var a=Zr(e,r);return Math.floor((t[0]*(n-1)-n+a)/2)}function Yr(t){return"number"==typeof t?[t,t,t]:2===t.length?[t[0],t[1],1]:t}function Jr(t){return"number"==typeof t?[t,t,t]:t}function Zr(t,e){return e<=1?t:t+(t-1)*(e-1)}function Qr(t,e){if(!e)return t;switch(e){case"round":return Math.round(t);case"ceil":return Math.ceil(t);case"floor":return Math.floor(t);default:throw new Error("Unknown roundingMode "+e)}}function ta(t){var e=Yr(t),n=e[0],r=e[1],a=e[2];return 1===n&&1===r&&1===a}function ea(t,e){return ta(t)||ta(e)}function na(t){if("NHWC"===t)return"channelsLast";if("NCHW"===t)return"channelsFirst";throw new Error("Unknown dataFormat "+t)}function ra(t,e,n){if("complex64"===e){if("complex64"===t.dtype)return t.clone();var r=bn(t.shape),a=t.toFloat(),i=n.complex(a,r);return r.dispose(),a.dispose(),i}if(!F(t.dtype,e))return At.makeTensorFromDataId(t.dataId,t.shape,e);if("complex64"===t.dtype){var o=n.real(t);return i=o.cast(e),o.dispose(),i}if("int32"===e)return n.int(t);if("bool"===e){var s=cn(0,t.dtype);return i=n.notEqual(t,s),s.dispose(),i}throw new Error("Error in Cast: failed to cast "+t.dtype+" to "+e)}function aa(t,e){return At.makeTensorFromDataId(t.dataId,e,t.dtype)}function ia(t,e,n){var r=(e-t)/(n-1),a=X(n,"float32");a[0]=t;for(var i=1;i<a.length;i++)a[i]=a[i-1]+r;return pn(a,"float32")}var oa=Object.freeze({castTensor:ra,reshapeTensor:aa,linspaceImpl:ia,upcastType:bt,axesAreInnerMostDims:Ke,combineLocations:Xe,computeOutAndReduceShapes:$e,expandShapeToKeepDim:Ye,assertAxesAreInnerMostDims:Je,getAxesPermutation:Ze,getUndoAxesPermutation:Qe,getInnerMostAxes:tn,getBroadcastDims:Ur,getReductionAxes:jr,assertAndGetBroadcastShape:Gr,assertParamsConsistent:en,computeOutShape:nn,computePool2DInfo:qr,computePool3DInfo:Hr,computeConv2DInfo:Kr,computeConv3DInfo:Xr,computeDefaultPad:$r,tupleValuesAreOne:ta,eitherStridesOrDilationsAreOne:ea,convertConv2DDataFormat:na});function sa(t,e){if(t.length!==e.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+t.length+", imag: "+e.length+".");for(var n=new Float32Array(2*t.length),r=0;r<n.length;r+=2)n[r]=t[r/2],n[r+1]=e[r/2];return n}function ua(t,e){return{real:t[2*e],imag:t[2*e+1]}}function la(t,e,n,r){t[2*r]=e,t[2*r+1]=n}function ca(t,e,n){var r=(n?2:-2)*Math.PI*(t/e);return{real:Math.cos(r),imag:Math.sin(r)}}function pa(t,e,n,r,a){for(var i=Array.from(e).map(function(t,e){return{score:t,boxIndex:e}}).filter(function(t){return t.score>a}).sort(function(t,e){return e.score-t.score}),o=[],s=0;s<i.length;s++){var u=i[s],l=u.score,c=u.boxIndex;if(l<a)break;for(var p=!1,h=o.length-1;h>=0;--h)if(ha(t,c,o[h])>=r){p=!0;break}if(!p&&(o.push(c),o.length>=n))break}return pn(o,"int32")}function ha(t,e,n){var r=t.subarray(4*e,4*e+4),a=t.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),p=Math.max(a[0],a[2]),h=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(i,l),g=Math.max(o,c),v=Math.min(s,p),y=Math.min(u,h),b=Math.max(v-m,0)*Math.max(y-g,0);return b/(f+d-b)}function fa(t,e,n){var r=new Array(t.rank).fill(0),a=t.shape.slice();return e.map(function(e){a[n]=e;var i=t.slice(r,a);return r[n]+=e,i})}function da(t,e){for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var a=jn(n,t.dtype);for(r=0;r<a.values.length;++r){for(var i=a.indexToLoc(r),o=new Array(t.rank),s=0;s<o.length;s++)o[s]=i[s]%t.shape[s];var u=t.locToIndex(o);a.values[r]=t.values[u]}return a.toTensor()}function ma(t,e,n,r,a){for(var i=e[e.length-1],o=[t.length/i,i],s=o[0],u=o[1],l=T(n,s*r),c=T("int32",s*r),p=0;p<s;p++){for(var h=p*u,f=t.subarray(h,h+u),d=[],m=0;m<f.length;m++)d.push({value:f[m],index:m});d.sort(function(t,e){return e.value-t.value});var g=p*r,v=l.subarray(g,g+r),y=c.subarray(g,g+r);for(m=0;m<r;m++)v[m]=d[m].value,y[m]=d[m].index}var b=e.slice();return b[b.length-1]=r,[un(l,b,n),un(c,b,"int32")]}function ga(t,e){for(var n=[],r=0;r<e.length;r++)e[r]&&n.push(r);var a=jn(t,"int32"),i=jn([n.length,t.length],"int32");for(r=0;r<n.length;r++){var o=a.indexToLoc(n[r]),s=r*t.length;i.values.set(o,s)}return i.toTensor()}var va=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    "},ya=function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!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    "},ba=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];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    "};function xa(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function wa(t,e){return 1===e?[t]:xa(t,e)}function Ca(){var t,e,n,r,a,i,s,u,l,c;return 2===o().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",a="texture",i="outputColor",s="out vec4 outputColor;",u="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",l="",c="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",s="",u="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",l="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",c="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:s,defineSpecialNaN:u,defineSpecialInf:l,defineRound:c}}function Na(t,e,n){void 0===n&&(n="index");var r=G(e);return r.map(function(e,a){return"int "+t[a]+" = "+n+" / "+e+"; "+(a===r.length-1?"int "+t[a+1]+" = "+n+" - "+t[a]+" * "+e:"index -= "+t[a]+" * "+e)+";"}).join("")}function Sa(t){var e=G(t).map(function(t){return t.toString()});return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var Ia="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function ka(t,e,n,r){var a=[];t.forEach(function(t){var e=x(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?a.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(a.push("uniform sampler2D "+t.name+";"),a.push("uniform int offset"+t.name+";"))});var i,o,s=a.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,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=Ca(),"\n    vec4 "+r+"() {\n      return "+a.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,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=Ca();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return "+i.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),a=t.shapeInfo.texShape,i=a[0],o=a[1],s=Ca();if(null!=a&&w(e,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],l=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+l+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0]){var s=n.slice(1),u=Fa(e,s);return"\n        "+t(u)+"\n        vec4 "+a+"(int b, int row, int col) {\n          return "+a+"("+Ma(["b","row","col"],[1,2])+");\n        }\n      "}var l=o[0],c=o[1],p=Math.ceil(n[2]/2),h=p*Math.ceil(n[1]/2),f=Ca();return"\n    vec4 "+a+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+l+", "+c+", "+h+", "+p+", b, row, col);\n      return "+f.texture2D+"("+r+", uv);\n    }\n  "}(e);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],s=o[0],u=o[1],l=Math.ceil(e[n-1]/2),c=l*Math.ceil(e[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,c*=e[n-f-1],h="b"+f+" * "+c+" + "+h;var d=Ca();return"\n    vec4 "+a+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(e)}}(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,a=r[0],i=r[1];if(1===a&&1===i)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=t.shapeInfo.texShape,s=o[0],u=o[1],l=Da(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+l+");\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        "+Oa(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=Da(e);return 1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+a+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+i+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+a+", "+i+", index + "+o+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(e);case 2:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&w(n,i)){var o=i[0],s=i[1];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+s+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var u=R(n),l=u.newShape,c=u.keptDims,p=l;if(p.length<n.length){var h=Fa(e,p);return"\n      "+t(h)+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+Ma(["row","col"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+Oa(e)+"\n      }\n    ";var f=i[0],d=i[1],m=Da(r);return 1===d?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+m+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+a+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+m+";\n    vec2 uv = uvFromFlat("+f+", "+d+", index);\n    return sampleTexture("+r+", uv);\n  }\n"}(e);case 3:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=R(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=Fa(e,c);return"\n        "+t(p)+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+Ma(["row","col","depth"],l)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1)));\n        "+Oa(e)+"\n      }\n    ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===i&&null==m)return"\n        float "+a+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(d===o&&null==m)return"\n    float "+a+"(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("+d+".0, "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var g=Da(r);return"\n      float "+a+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+o+" + depth + "+g+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+r+", uv);\n      }\n  "}(e);case 4:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=R(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=Fa(e,l);return"\n      "+t(p)+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+Ma(["row","col","depth","depth2"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+i+", 1)));\n        "+Oa(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===i&&null==h)return"\n      float "+a+"(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, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var g=Da(r);return"\n    float "+a+"(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 * "+o+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+m+", index + "+g+");\n      return sampleTexture("+r+", uv);\n    }\n  "}(e);case 5:return function(e){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[4],o=n[3]*i,s=n[2]*o,u=n[1]*s,l=R(n),c=l.newShape,p=l.keptDims;if(c.length<n.length){var h=Fa(e,c);return"\n      "+t(h)+"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+a+"("+Ma(["row","col","depth","depth2","depth3"],p)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+o+", "+i+")) +\n          depth3;\n        "+Oa(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],g=d[1];if(g===u&&null==f)return"\n      float "+a+"(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+", "+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+m+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(g===i&&null==f)return"\n      float "+a+"(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    ";var v=Da(r);return"\n    float "+a+"(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 * "+o+" +\n          depth2 * "+i+" + depth3 + "+v+";\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,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=R(n),o=i.newShape,s=i.keptDims;if(o.length<n.length){var u=Fa(e,o);return"\n      "+t(u)+"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+a+"("+Ma(["row","col","depth","depth2","depth3","depth4"],s)+");\n      }\n    "}var l=n[5],c=n[4]*l,p=n[3]*c,h=n[2]*p,f=n[1]*h;if(e.shapeInfo.isUniform)return"\n      float "+a+"(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("+f+", "+h+", "+p+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+l+", 1)));\n        "+Oa(e)+"\n      }\n    ";var d=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,g=m[0],v=m[1];if(v===f&&null==d)return"\n      float "+a+"(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("+h+", "+p+", "+c+", "+l+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+g+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(v===l&&null==d)return"\n      float "+a+"(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    ";var y=Da(r);return"\n    float "+a+"(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 * "+f+" + col * "+h+" + depth * "+p+" +\n          depth2 * "+c+" + depth3 * "+l+" + depth4 + "+y+";\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 a=t.shapeInfo.logicalShape,i=e.logicalShape;return a.length<=i.length&&(r+=n?function(t,e){var n,r=t.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=Ur(t.shapeInfo.logicalShape,e.logicalShape),l=_a(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+c]+" = 0;"}).join("\n");var h;h=s<2&&o>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+c]}).join(", ");var f="return outputValue;",d=1===x(t.shapeInfo.logicalShape),m=1===x(e.logicalShape);if(1!==o||d||m){if(d&&!m)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var g=o-2,v=o-1;u.indexOf(g)>-1&&u.indexOf(v)>-1?f="return vec4(outputValue.x);":u.indexOf(g)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(v)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+a+"("+h+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=e.texShape,o=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&w(o,i))return"\n      float "+a+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=_a(u),c=Ur(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+a+"() {\n      "+l+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&c.length>=1?"coords = 0;":c.map(function(t){return"coords."+h[t+p]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+h[e+p]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),l=e.texShape,c=Ca(),p="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+c.texture2D+"(textureSampler, uv).r;\n    }\n  ",h=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    "+t.defineSpecialNaN+"\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    "+Ea+"\n    "+Aa+"\n    "+Ra+"\n  "}(c);return e.isPacked?(i=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(w(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,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(i=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+a[0]+", "+a[1]+"));\n      int index = resTexRC.x * "+a[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+i+");\n      int c = imod(index, "+i+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),a=r*Math.ceil(t[t.length-2]/2),i=a,o="",s="b, r, c",u=2;u<t.length-1;u++)o="\n      int b"+u+" = index / "+(i*=t[t.length-u-1])+";\n      index -= b"+u+" * "+i+";\n    "+o,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      "+o+"\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,a,i,o}(e.logicalShape,l),o="\n    void setOutput(vec4 val) {\n      "+c.output+" = val;\n    }\n  "):(i=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 w(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=Na(["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=Na(["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=Na(["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=Na(["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,l),o="\n    void setOutput(float val) {\n      "+c.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(h+=Ta),[h,p,o,s,i,u,n].join("\n")}var Ea="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Aa="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Ra="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Ta="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function Da(t){return"offset"+t}function Oa(t){var e=t.name,n=x(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function _a(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function Fa(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Ma(t,e){return e.map(function(e){return t[e]}).join(", ")}var za=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,g(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var a=t[t.length-1],i=Math.ceil(a/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=_a(l),p=wa("coords",l);if(1===i){var h=_a(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map(function(t){return"int "+t}),v=wa("sourceLocR",s-1).concat("inIdx.r"),y=wa("sourceLocG",s-1).concat("inIdx.g"),b=wa("sourceLocB",s-1).concat("inIdx.b"),x=wa("sourceLocA",s-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",C=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",N="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+y.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",S=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+S+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+N+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+C+"\n          vec4 candidate = "+N+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+w+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},La=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=s-1-t.padInfo.top,c=u-1-t.padInfo.left,p=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+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+= "+o+") {\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            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ba=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=c-1-t.padInfo.front,d=p-1-t.padInfo.top,m=h-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pa=function(t,e,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],Gr(t,e),Gr(t,n);var o="0.0";null!=r&&(Gr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Gr(t,a),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 = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Wa=function(t,e,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Gr(t,e),Gr(t,n);var o="vec4(0.0)";null!=r&&(Gr(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(Gr(t,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},Va=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Gr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Ua="return a + b;",ja="return a - b;",Ga="return a * b;",qa="return (a < 0.) ? b * a : a;",Ha=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Gr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ka="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Xa=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Gr(e,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===x(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+_a(a)+" coords = getOutputCoords();\n        ",1===a)i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=wa("coords",a);i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+i+"\n\n        setOutput(result);\n      }\n    "},$a=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ya=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ja=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    "},Za=function(t){this.outputShape=[],this.outputShape=nn(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 a=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+a+"));")}var i=e.length,o=e[e.length-1];r.push("else setOutput(getT"+i+"(yR, yC-"+o+"));"),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    "},Qa=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=nn(t,e);var n=this.outputShape,r=n.length,a=_a(r),i=wa("coords",r),o=["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 l=o[e],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        if ("+l+" < "+s[u]+"  && "+l+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+ti(o,l,f)+"),\n            vec2("+ti(c,l,f)+"));\n        }"}var d=s.length,m=s[s.length-1];h+="\n        return getChannel(\n          getT"+d+"("+ti(o,l,m)+"),\n          vec2("+ti(c,l,m)+"));",this.userCode="\n      float getValue("+o.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+i+"), 0., 0., 0.);\n\n        "+i[r-1]+" = "+i[r-1]+" + 1;\n        if ("+i[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+i+");\n        }\n\n        "+i[r-2]+" = "+i[r-2]+" + 1;\n        if ("+i[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+i+");\n        }\n\n        "+i[r-1]+" = "+i[r-1]+" - 1;\n        if ("+i[r-2]+" < "+n[r-2]+" &&\n            "+i[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+i+");\n        }\n        setOutput(result);\n      }\n    "};function ti(t,e,n){var r=t.indexOf(e);return t.map(function(t,e){return e===r?t+" - "+n:t}).join()}var ei=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+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+" - "+a+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ni=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i="channelsLast"===t.dataFormat,o=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+c+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+l+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+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) / "+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 = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+i+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ri=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.padInfo.front,i=t.padInfo.top,o=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+" - "+a+";\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+" - "+i+";\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+" - "+o+";\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    "},ai=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,l=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+l+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+a+".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) / "+i+".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) / "+o+".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    "},ii=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i=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 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: 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+" - "+a+";\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    "},oi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=e-1-t.padInfo.top,o=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+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) / "+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 = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},si=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,h=4*Math.floor(t.inChannels/4),f=t.inChannels%4,d="channelsLast"===t.dataFormat,m=d?1:2,g=d?2:3,v=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+v+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+c+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+l+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+d+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===f)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+h+") *\n                    getW(wR, wC, "+h+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+h+", xR, xC) *\n                    getW(wR, wC, "+h+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2),\n                getW(wR, wC, "+h+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1),\n                  getX(batch, xR, xC, "+h+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC),\n                  getX(batch, "+h+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},ui=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterDepth,p=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\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 < "+c+"; 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 < "+p+"; 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 < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},li=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,f=t.filterWidth,d=t.outChannels/t.inChannels,m="",g="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var v=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+d+";\n        int q = d2 - d1 * "+d+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+h+"; wR++) {\n          int xR = xRCorner + wR * "+c+";\n\n          if (xR < 0 || xR >= "+a+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+p+";\n\n            if (xC < 0 || xC >= "+i+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+v+"\n        "+g+"\n        setOutput(result);\n      }\n    "},ci=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,f=t.filterWidth,m=f,g="int xR; int xC; int xCOffset;",v=0;v<h;v++)for(var y=0;y<f;y++)g+="\n          vec4 xTexelR"+v+"C"+2*y+" = vec4(0.);\n          vec4 wR"+v+"C"+y+" = vec4(0.);\n          vec4 xR"+v+"C"+y+" = vec4(0.);";for(v=0;v<h;v++)for(var b=0;b<m;b++){if(g+="\n          xR = xRCorner + "+v*c+";\n          xC = xCCorner + "+(y=2*b)*p+";\n        ",1===l){if(y<f&&(g+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+v+"C"+y+" = vec4(previous.zw, xTexelR"+v+"C"+y+".xy);\n                } else {\n                  xR"+v+"C"+y+" = vec4(0, 0, xTexelR"+v+"C"+y+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+a+" && xC >= 0 && xC < "+i+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = xTexelR"+v+"C"+y+";\n              ",y+1<f)){var x=s%2==0?d(p):p;p%2==0&&s%2==1||p%2!=0&&s%2!=1?(g+="\n                  xCOffset = xC + "+s%2+" + "+x+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",p>1&&(g+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+a+" &&\n                      xCOffset >= 0 && xCOffset < "+i+") {\n                      xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+v+"C"+y+" = vec4(0.);\n                    }\n                  "),g+="\n                  xR"+v+"C"+(y+1)+" = vec4(\n                    xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".xy);\n                "):g+="\n                  xCOffset = xC + "+x+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+v+"C"+(y+1)+" = xTexelR"+v+"C"+(y+2)+";\n                "}}else y<f&&(g+="\n              if(xR >= 0 && xR < "+a+") {\n            ",s%2==1?(g+="\n                xCOffset = xC + 1 - "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+i+") {\n                  xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+v+"C"+(y+2)+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = vec4(\n                  xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".zw);\n              ",y+1<f&&(g+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+l+";\n                  if(xCOffset >= 0 && xCOffset < "+i+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+v+"C"+(y+1)+" = vec4(xTexelR"+v+"C"+(y+2)+".xy, final.xy);\n                ")):(g+="\n                if(xC >= 0 && xC < "+i+") {\n                  xTexelR"+v+"C"+y+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+v+"C"+y+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+v+"C"+(y+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+v+"C"+(y+2)+" = vec4(0.);\n                }\n\n                xR"+v+"C"+y+" = vec4(\n                  xTexelR"+v+"C"+y+".xy, xTexelR"+v+"C"+(y+2)+".xy);\n              ",y+1<f&&(g+="\n                  xR"+v+"C"+(y+1)+" = vec4(\n                    xTexelR"+v+"C"+y+".zw, xTexelR"+v+"C"+(y+2)+".zw);\n                ")),g+="}");y<f&&(g+="\n            vec4 wTexelR"+v+"C"+y+" = getW("+v+", "+y+", d1, q);\n            wR"+v+"C"+y+" = vec4(wTexelR"+v+"C"+y+".xz, wTexelR"+v+"C"+y+".xz);\n          ",y+1<f&&(g+="\n              vec4 wTexelR"+v+"C"+(y+1)+" = getW("+v+", "+(y+1)+", d1, q);\n              wR"+v+"C"+(y+1)+" =\n                vec4(wTexelR"+v+"C"+(y+1)+".xz, wTexelR"+v+"C"+(y+1)+".xz);"))}for(v=0;v<h;v++)for(y=0;y<f;y++)g+="dotProd += xR"+v+"C"+y+" * wR"+v+"C"+y+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var N=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+g+"\n\n        vec4 result = dotProd;\n        "+N+"\n        "+C+"\n        setOutput(result);\n      }\n    "},pi=function(t,e,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=t[0],o=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[o-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],x=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],C=x[1],N=x[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+N+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},hi=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=t[t.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+_a(r)+" coords = getOutputCoords();\n        int end = "+fi(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+fi(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    "};function fi(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var di=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Dt.DENSE;var e=Wt(t),n=Ca();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Na(["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    "},mi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Dt.DENSE;var e=Wt(t),n=Ca();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Na(["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    "},gi=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),vi=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},yi=function(t){this.variableNames=["A"],this.outTexUsage=Ot.DOWNLOAD;var e=Ca();this.outputShape=t,this.userCode="\n      "+Ia+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},bi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ot.DOWNLOAD;var e=Ca();this.outputShape=t,this.userCode="\n      "+Ia+"\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    "},xi=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=Ca(),a=e[0],i=e[1];this.outputShape=t;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+Sa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+i+";\n        int c = imod(flatIndex, "+i+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},wi=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Ca(),a=e[0],i=e[1];this.outputShape=t;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var l=0;l<=1;l++){var c=2*u+l;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+l+" < "+t[2]+") {\n            localCoords[2] += "+l+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+i+";\n              c = imod(flatIndex, "+i+");\n              uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+c+"] = values[0];\n              } else if(offset == 1) {\n                result["+c+"] = values[1];\n              } else if(offset == 2) {\n                result["+c+"] = values[2];\n              } else {\n                result["+c+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Sa(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        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},Ci=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var a=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,i=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+a+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+i+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},Ni=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),Si=function(t){this.variableNames=["A"];var e=Ca(),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    "},Ii=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Ca(),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) /\n                       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    "},ki=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var a=_a(this.rank),i=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"],a=[],i=0;i<t.length;i++)i===e?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(t,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "},Ei=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=_a(e.length),a=_a(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function Ai(t,e){var n=Ca();return $t(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function Ri(t,e){return re(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function Ti(t,e){return ae(t,e,new Uint16Array([0,1,2,2,1,3]))}function Di(t,e,n,r,a,i,o){oe(n,r);var s=ie(t,e),u=t.TEXTURE_2D;return jt(t,e,function(){return t.bindTexture(u,s)}),jt(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),jt(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),jt(t,e,function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)}),jt(t,e,function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)}),jt(t,e,function(){return t.texImage2D(u,0,a,n,r,0,i,o,null)}),jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)}),s}function Oi(t,e,n,r,a){var i=Pt(n,r);return Di(t,e,i[0],i[1],a.internalFormatFloat,a.textureFormatFloat,t.FLOAT)}function _i(t,e,n,r,a){var i=Pt(n,r);return Di(t,e,i[0],i[1],a.internalFormatHalfFloat,a.textureFormatFloat,a.textureTypeHalfFloat)}function Fi(t,e,n,r,a){var i=Pt(n,r);return Di(t,e,i[0],i[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function Mi(t,e,n,r,a){var i=Vt(n,r);return Di(t,e,i[0],i[1],a.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function zi(t,e,n,r,a){var i=Vt(n,r);return Di(t,e,i[0],i[1],a.internalFormatPackedHalfFloat,t.RGBA,a.textureTypeHalfFloat)}function Li(t,e,n,r){return jt(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),ue(t,e,n,"clipSpacePos",r,3,20,0)&&ue(t,e,n,"uv",r,2,20,12)}function Bi(t,e,n,r,a,i,o){var s,u,l;jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),i instanceof Uint8Array?(s=new Uint8Array(r*a*4),u=t.UNSIGNED_BYTE,l=t.RGBA):(s=new Float32Array(r*a*4),u=t.FLOAT,l=o.internalFormatPackedFloat),s.set(i),jt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,l,r,a,0,t.RGBA,u,s)}),jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function Pi(t,e,n,r){jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),r.data instanceof Uint8Array?jt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)}):jt(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)}),jt(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function Wi(t,e,n,r,a){var i=t.createBuffer();jt(t,e,function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,i)});var o=16*n*r;return jt(t,e,function(){return t.bufferData(t.PIXEL_PACK_BUFFER,o,t.STREAM_READ)}),jt(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)}),jt(t,e,function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)}),i}function Vi(t,e,n){var r=t,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function Ui(t,e,n,r,a){var i=Pt(n,r),o=i[0],s=i[1],u=new Uint8Array(n*r*4);return jt(t,e,function(){return t.readPixels(0,0,o,s,a.downloadTextureFormat,t.UNSIGNED_BYTE,u)}),new Float32Array(u.buffer)}function ji(t,e,n,r,a,i,o,s){var u=t,l=new Float32Array(function(t,e){var n=Vt(i,o);return n[0]*n[1]*4}());return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function Gi(t,e,n,r){var a=new Float32Array(n*r*4);return jt(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,a)}),a}var qi=Object.freeze({createVertexShader:Ai,createVertexBuffer:Ri,createIndexBuffer:Ti,createFloat32MatrixTexture:Oi,createFloat16MatrixTexture:_i,createUnsignedBytesMatrixTexture:Fi,createPackedMatrixTexture:Mi,createFloat16PackedMatrixTexture:zi,bindVertexProgramAttributeStreams:Li,uploadDenseMatrixToTexture:Bi,uploadPixelDataToTexture:Pi,createBufferFromOutputTexture:Wi,downloadFloat32MatrixFromBuffer:Vi,downloadByteEncodedFloatMatrixFromOutputTexture:Ui,downloadPackedMatrixFromBuffer:ji,downloadMatrixFromPackedOutputTexture:Gi}),Hi=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=o().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,zt(e,t)):this.gl=Lt(e),1===o().getNumber("WEBGL_VERSION"))this.textureFloatExtension=Xt(this.gl,this.debug,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),this.textureHalfFloatExtension=Xt(this.gl,this.debug,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float");else if(Ae(this.gl,"EXT_color_buffer_float"))this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float");else{if(!Ae(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=Ri(this.gl,this.debug),this.indexBuffer=Ti(this.gl,this.debug),this.framebuffer=se(this.gl,this.debug),this.textureConfig=Ut(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return o().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;jt(e,this.debug,function(){return e.finish()}),jt(e,this.debug,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),jt(e,this.debug,function(){return e.deleteFramebuffer(t.framebuffer)}),jt(e,this.debug,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),jt(e,this.debug,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),jt(e,this.debug,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),Oi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),_i(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Fi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Pi(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),Bi(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),zi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Mi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(de(this.gl,this.debug,this.framebuffer),this.outputTexture=null),jt(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 Ui(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,a,i){return ji(this.gl,t,0,0,0,a,i,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Vi(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Wi(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(o().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=a.clientWaitSync(i,0,0);return t===a.ALREADY_SIGNALED||t===a.CONDITION_SATISFIED},e=i}else o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,o().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 Gi(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=Yt(e,this.debug,t),r=Ai(e,this.debug),a=te(e,this.debug);return jt(e,this.debug,function(){return e.attachShader(a,r)}),jt(e,this.debug,function(){return e.attachShader(a,n)}),ee(e,this.debug,a),this.debug&&ne(e,this.debug,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=Li(e,this.debug,this.program,this.vertexBuffer)),a},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&jt(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&&ne(this.gl,this.debug,this.program),jt(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?ce(this.gl,this.debug,t,e):pe(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),jt(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(),he(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=Vt(e,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(t,a,i)},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&&ne(this.gl,this.debug,this.program),me(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),jt(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),jt(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=Xt(this.gl,this.debug,2===o().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===o().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(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},t.prototype.endQuery=function(){if(2!==o().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 r(this,void 0,void 0,function(){var e=this;return a(this,function(n){switch(n.label){case 0:return[4,k(function(){return e.disposed||e.isQueryAvailable(t,o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,o().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(),a=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}return a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!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;++e){if(!t[e]())break}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||k(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),fe(this.gl,this.debug,t,this.framebuffer),this.debug&&me(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(fe(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&me(this.gl)):de(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;fe(r,this.debug,t,this.framebuffer),this.debug&&me(r),this.outputTexture=t,jt(r,this.debug,function(){return r.viewport(0,0,e,n)}),jt(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var a=this;this.throwIfDisposed(),jt(this.gl,this.debug,function(){return a.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 Ki(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,a=e[n],i=a.shape;if(!w(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!t.isUniform||!a.isUniform){var o=t.texShape,s=a.isUniform?null:a.texData.texShape;if(!w(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Xi=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=n.dataFormat,h=s.left,f=s.top,d=a*r,m=Ca(),g="channelsLast"===p,v=g?0:1,y=g?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+f+";\n            d0 = offsetY + "+c+" * (pos / "+d+");\n\n            if(d0 < "+e[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+h+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+d+".) / "+a+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+a+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},$i=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "},Yi=function(t,e,n,r,a){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=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+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("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ji=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+i+";\n        setOutput(result);\n      }\n    "},Zi=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,a=t.effectiveFilterHeight,i=t.effectiveFilterWidth,o=a-1-t.padInfo.top,s=i-1-t.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+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 < "+i+"; 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 * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Qi=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.dilationDepth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=s-1-t.padInfo.front,p=u-1-t.padInfo.top,h=l-1-t.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},to=function(t,e,n,r,a,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),l=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",d="";i&&(f=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+i+"\n        }":"vec4 activation(vec4 x) {\n          "+i+"\n        }",d="result = activation(result);");var m=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+l+");\n          vec4 b = getMatrixB(rc.x, "+c+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+p[0]+" * "+h[0]+");\n          result += ("+p[1]+" * "+h[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},eo=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}(),no=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    "},ro=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,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=wa("rc",e),r=_a(e),a=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",a=t-2;a<t;a++)r+=n[a]+" >= "+e[a],a<t-1&&(r+="||");return r}(e,t,n),i=function(t,e,n,r){if(1===t)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),o=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<t;o++)i=e[e.length-1-o]+","+i;n.push(i)}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("+a+") {\n            setOutput(vec4(0));\n          } else {\n            "+i+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}},ao=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,a=_a(r),i=e.map(function(t){return t[0]}).join(","),o=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      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},io=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,a=_a(r),i=e.map(function(t){return t[0]}).join(","),o=e.map(function(e,n){return e[0]+t[n]}).join(","),s=wa("rc",r),u=wa("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},oo=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var h="avg"===e,f="0.0";if(h||(f="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+a+", "+i+");\n        const ivec2 pads = ivec2("+c+", "+p+");\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 += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\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 * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float initializationValue = "+f+";\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("+f+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\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("+d+");\n      }\n    "}},so=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=t.padInfo.front,d=t.padInfo.top,m=t.padInfo.left;this.outputShape=t.outShape;var g="avg"===e,v="0.0";if(g||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+a+", "+i+", "+o+");\n        const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+c+";\n              wD += "+s+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+p+";\n                wR += "+u+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+h+";\n                  wC += "+l+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition =\n                      wD * "+p+" * "+h+" +\n                      wR * "+h+" + wC;;\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var b=4*Math.floor(r/4),x=r%4,w="\n      if ("+g+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float initializationValue = "+v+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+";\n            wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+b+"; wC += 4) {\n              int xC = xCCorner + wC * "+l+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+l+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+l+", ch)\n              );\n\n              "+w+"\n            }\n\n            int xC = xCCorner + "+b+";\n            if ("+(1===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(2===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(3===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+l+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+l+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+y+");\n        }\n      }\n    "}},uo=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"prod"===e?o="1.0":"min"===e?(o="1.0 / 1e-20",s="min"):"max"===e&&(o="-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 l=4*Math.floor(n/4),c=n%4,p="\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    ",h="vec4";"all"===e?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===e&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},lo=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\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      "+Na(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Sa(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    "},co=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+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), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},po=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},ho=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+",\n          "+u[1]/l[1]+");\n      const vec3 inputShapeRC = vec3("+i+".0, "+o+".0,\n                                     "+o+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\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    "},fo=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+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("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},mo=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],l=[r&&e>1?e-1:e,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},go=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(","),a=_a(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},vo=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!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=wa("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=_a(n);function s(n){var r=t.map(function(r,a){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(a,n)});return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+a+"){\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          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+s(r.slice())+";\n          if("+a+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+a+") {\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    "},yo=function(t,e,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=_a(a.length),u=_a(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},bo=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=t.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "},xo=function(t,e,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<e.length;u++)s.push(""+i[u]),u<t&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=_a(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "},wo=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=_a(this.rank),r="uniform int start["+this.rank+"];",a=function(t){if(1===t)return"sourceLoc";if(t<=6)return Co.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."+Co[e]+" = start["+e+"] + coords."+Co[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+a+"));\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}(),Co=["x","y","z","w","u","v"],No=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=_a(this.rank),n=wa("coords",this.rank),r=wa("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = "+i+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+i+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+i+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+i+";\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        "+o+"\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}(),So=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=_a(n.length),i=_a(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map(function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"}).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+t+");\n      "+a+" strides = "+a+"("+e+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},Io=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,a=ko(e,n),i=Eo(t,a,n);if(i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]),this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[i].shift();return this.usedTextures[i].push(o),o}return this.numUsedTextures++,this.log(),a===_t.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):a===_t.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):a===_t.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):a===_t.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):a===_t.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[i].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var a=Eo(e,ko(n,r),r);a in this.freeTextures||(this.freeTextures[a]=[]),this.freeTextures[a].push(t),this.numFreeTextures++,this.numUsedTextures--;var i=this.usedTextures[a],o=i.indexOf(t);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(o,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 ko(t,e){if(t===Ot.UPLOAD)return _t.PACKED_2X2_FLOAT32;if(t===Ot.RENDER||null==t)return function(t){return o().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?_t.PACKED_2X2_FLOAT32:_t.UNPACKED_FLOAT32:t?_t.PACKED_2X2_FLOAT16:_t.UNPACKED_FLOAT16}(e);if(t===Ot.DOWNLOAD||t===Ot.PIXELS)return _t.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Eo(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var Ao=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 a=_a(this.rank),i=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=[],a=0;a<t.length;a++)r.push("imod("+n[a]+", "+t[a]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "},Ro=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 a=_a(this.rank),i=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),a=0;a<t.length;a++)r[t[a]]=n[a];return r.join()}(e);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "},To=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!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 a=_a(this.rank),i=xa("rc",this.rank),o=new Array(this.rank);for(r=0;r<e.length;r++)o[e[r]]=i[r];var s="vec2("+o.slice(-2).join()+")",u="++"+i[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+u+") {\n        result[1] = "+l+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+l+";\n        if("+u+") {\n          result[3] = "+l+";\n        }\n      }\n      setOutput(result);\n    }\n    "},Do=1.7580993408473768,Oo=1.0507009873554805,_o=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    "},Fo="if (isnan(x)) return x;",Mo="return x;",zo="return abs(x);",Lo=Fo+"\n  return (x < 0.0) ? 0.0 : x;\n",Bo=Fo+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",Po="return (x >= 0.0) ? x : (exp(x) - 1.0);",Wo="return -x;",Vo="return ceil(x);",Uo="return floor(x);",jo="return exp(x);",Go="return exp(x) - 1.0;",qo="return x;",Ho="return x;",Ko="\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",Xo="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",$o="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Yo=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Jo=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=wa("rc",e),r=_a(e),a=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),i=n.slice(-2),o=e<=1?"rc":"vec2("+i.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+a+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},Zo={};function Qo(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Ho:Mo;if("relu"===t)return e?Ko:Lo;if("elu"===t)return e?$o:Po;if("relu6"===t)return e?Xo:Bo;if("prelu"===t)return e?Ka:qa;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var ts=600,es=function(t){function e(e){var n,r=t.call(this)||this;if(r.gpgpu=e,r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!o().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var a=Lt(o().getNumber("WEBGL_VERSION"));r.binaryCache=(n=o().getNumber("WEBGL_VERSION"))in Zo?Zo[n]:(Zo[n]={},Zo[n]),r.gpgpu=new Hi(a),r.canvas=a.canvas,r.gpgpuCreatedLocally=!0}else r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new Io(r.gpgpu),r.numMBBeforeWarning=null==o().global.screen?1024:o().global.screen.height*o().global.screen.width*window.devicePixelRatio*ts/1024/1024,r.texData=new Pr(r,At),r}return n(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n="undefined"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas||"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement,r=t.data instanceof Uint8Array,a="undefined"!=typeof ImageData&&t instanceof ImageData,i="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement,u=i?[t.videoWidth,t.videoHeight]:[t.width,t.height],l=u[0],c=u[1],p=[c,l],h=[c,l,e];if(!(n||r||a||i||s))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);(s||i)&&(null==this.fromPixels2DContext&&(this.fromPixels2DContext=Bt(o().getNumber("WEBGL_VERSION")).getContext("2d")),this.fromPixels2DContext.canvas.width=l,this.fromPixels2DContext.canvas.height=c,this.fromPixels2DContext.drawImage(t,0,0,l,c),t=this.fromPixels2DContext.canvas);var f,d,m=this.makeTensorInfo(p,"int32");return this.texData.get(m.dataId).usage=Ot.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(m.dataId),t),o().getBool("WEBGL_PACK")?(f=new Ii(h),d=this.compileAndRun(f,[m])):(f=new Si(h),d=this.compileAndRun(f,[m])),this.disposeData(m.dataId),d},e.prototype.write=function(t,e,n){if(o().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Ot.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(o().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Ot.UPLOAD})},e.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,a=e.complexTensors,i=e.slice,o=e.shape,s=e.isPacked;if(null!=i){var u;u=s?new Yo(o,qo):new _o(o,qo);var l=this.runWebGLProgram(u,[{dataId:t,shape:o,dtype:r}],r),c=this.readSync(l.dataId);return this.disposeData(l.dataId),c}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var p,h,f=null!=this.activeTimers;return f&&(p=$()),h="complex64"===r?sa(a.real.dataSync(),a.imag.dataSync()):this.getValuesFromTexture(t),f&&(this.downloadWaitMs+=$()-p),this.convertAndCacheOnCPU(t,h)},e.prototype.read=function(t){return r(this,void 0,void 0,function(){var e,n,r,i,s,u,l,c,p,h,f,d,m,g,v,y,b,w,C,N,S,I;return a(this,function(a){switch(a.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise(function(t){return e.push(t)})];if(n=this.texData.get(t),r=n.values,i=n.shape,s=n.slice,u=n.dtype,l=n.complexTensors,c=n.isPacked,null!=s)return p=void 0,p=c?new Yo(i,qo):new _o(i,qo),h=this.runWebGLProgram(p,[{dataId:t,shape:i,dtype:u}],u),f=this.read(h.dataId),this.disposeData(h.dataId),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!o().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===o().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return d=null,"complex64"!==u&&o().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(t),g=this.texData.get(m.dataId),d=(I=this.gpgpu).createBufferFromTexture.apply(I,[g.texture].concat(Wt(i)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:a.sent(),a.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([l.real.data(),l.imag.data()])];case 3:return y=a.sent(),b=y[0],w=y[1],v=sa(b,w),[3,5];case 4:null==d?v=this.getValuesFromTexture(t):(C=x(i),v=this.gpgpu.downloadFloat32MatrixFromBuffer(d,C)),a.label=5;case 5:return null!=m&&this.disposeData(m.dataId),N=this.convertAndCacheOnCPU(t,v),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEach(function(t){return t(N)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,N]}})})},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!Ht(n)){if(o().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,a=n.dtype,i=n.isPacked,s=x(r);if(o().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),l=this.texData.get(u.dataId),c=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[l.texture].concat(Wt(r))).subarray(0,s);return this.disposeData(u.dataId),c}var p=o().getBool("WEBGL_PACK")&&!0===i,h=p?we(r):r,f=p?new bi(h):new yi(h),d=this.runWebGLProgram(f,[{shape:h,dtype:a,dataId:t}],"float32"),m=this.texData.get(d.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(m.texture,m.texShape[0],m.texShape[1]).subarray(0,s);return this.disposeData(d.dataId),g},e.prototype.time=function(t){return r(this,void 0,void 0,function(){var e,n,r,i,o,s,u;return a(this,function(a){switch(a.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=b(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),o=b(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 s=a.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:m(s),getExtraProfileInfo:function(){return s.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,u]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:$(),endMs:null}},e.prototype.endTimer=function(t){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=$(),t)},e.prototype.getQueryTime=function(t){return r(this,void 0,void 0,function(){var e;return a(this,function(n){return o().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;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)}}},e.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,a=e.texShape,i=e.usage,o=e.isPacked,s=e.slice,u=s&&s.origDataId||t,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var c=this.texData.get(t);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return o().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=At.findBackend("cpu")),this.cpuBackend):null},e.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})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:At.keep(t.clone()),imag:At.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===x(n))return un([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,a=Dr(t.shape,e,n);if(r||!a){var i=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new No(n):new wo(n),s=i.getCustomSetupFunc(e);return this.compileAndRun(i,[t],null,s)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),a=this.makeOutput(n,t.dtype),i=this.texData.get(a.dataId);Object.assign(i,r),i.shape=n,i.dtype=t.dtype;var o=Or(e,t.strides);r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(i.slice.origDataId)||1;return this.dataRefCount.set(i.slice.origDataId,s+1),a},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var a=Ar(e,n,r);if(a.some(function(t){return 0===t}))return un([],a);var i=new So(e,r,a);return this.compileAndRun(i,[t])},e.prototype.reverse=function(t,e){var n=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new vo(t.shape,e):new go(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map(function(t){return on(t)}),r=t.map(function(t){return sn(t)});return an(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>o().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var a=Math.floor(t.length/2),i=this.concat(t.slice(0,a),e),s=this.concat(t.slice(a),e);return this.concat([i,s],e)}if(o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new Qa(t.map(function(t){return t.shape}),e);return this.compileAndRun(u,t)}var l=nn(t.map(function(t){return t.shape}),e),c=t.map(function(t){return t.as2D(-1,x(t.shape.slice(e)))}),p=new Za(c.map(function(t){return t.shape}));return this.compileAndRun(p,c).reshape(l)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Wo,t.dtype);var e=new _o(t.shape,Wo);return this.compileAndRun(e,[t])},e.prototype.batchMatMul=function(t,e,n,r){var a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],o=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===a||1===i)&&o>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===i?t:t.as3D(s,o,1),l=1===i?2:1,c=1===i?e.as3D(s,1,o):e;return this.multiply(u,c).sum(l,!0)}var p=bt(t.dtype,e.dtype),h=new to(t.shape,[s,a,i],n,r);return this.compileAndRun(h,[t,e],p)},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,a=t.transposeB,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],l=a?n.shape[1]:n.shape[2],c=e.shape[0],p=bt(e.dtype,n.dtype),h=null!=i,f=null!=s,d=o?Qo(o,!0):null,m=new to(e.shape,[c,u,l],r,a,h,d,f),g=[e,n];return i&&g.push(i),s&&g.push(s),this.compileAndRun(m,g,p)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),a=new Va("return areal * breal - aimag * bimag;",t.shape,e.shape),i=new Va("return areal * bimag + aimag * breal;",t.shape,e.shape),s=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(a,s),l=this.compileAndRun(i,s),c=this.complex(u,l);return u.dispose(),l.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ga,t.dtype);var p=new Ha(Ga,t.shape,e.shape);return this.compileAndRun(p,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,a,i){var s=[t,e,n],u=null;null!=i&&(u=i.shape,s.push(i));var l=null;if(null!=a&&(l=a.shape,s.push(a)),o().getBool("WEBGL_PACK_NORMALIZATION")){var c=new Wa(t.shape,e.shape,n.shape,u,l,r);return this.compileAndRun(c,s)}var p=new Pa(t.shape,e.shape,n.shape,u,l,r);return this.compileAndRun(p,s)},e.prototype.localResponseNormalization4D=function(t,e,n,r,a){var i=o().getBool("WEBGL_PACK_NORMALIZATION")?new Ji(t.shape,e,n,r,a):new $i(t.shape,e,n,r,a);return this.compileAndRun(i,[t])},e.prototype.LRNGrad=function(t,e,n,r,a,i,o){var s=new Yi(e.shape,r,a,i,o);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map(function(t){return Z(t)});return da(jn(t.shape,t.dtype,n),e)}var r=new Ao(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new io(t.shape,e,n):new ao(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=o().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new To(t.shape,e):new Ro(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new ki(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){g(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}),a=vr(t.shape,e,r),i=yr(a.length,e.length),o=br(t.shape,e,r),s=xr(n,e.length),u=wr(o,n,e.length);return t.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){g(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}),a=[[0,0]];a.push.apply(a,n);for(var i=1+e.length;i<t.shape.length;++i)a.push([0,0]);var o=t.pad(a),s=vr(o.shape,e,r,!1),u=yr(s.length,e.length,!1),l=br(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],a=t.shape[1],i=Sr(a),o=new uo({windowSize:i,inSize:a,batchSize:r},e),s=this.compileAndRun(o,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},e.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],a=t.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=Sr(a),o=new ba({windowSize:i,inSize:a,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(o,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,a=Sr(r[r.length-1]),i=new za(r,a,e,null==n),o=null==n?[t]:[t,n],s=this.compileAndRun(i,o,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},e.prototype.sum=function(t,e){Je("sum",e,t.rank);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a),o=xt(t.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a),o=xt(t.dtype);return this.reduce(i,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,a=Ze([r],t.rank),i=t;null!=a&&(i=t.transpose(a),r=tn(1,t.rank)[0]);var o=function(t,e,n){for(var r=[],a=t.length,i=0;i<a;i++)i!==e?r.push(t[i]):r.push(n);return r}(i.shape,r,n),s=x([i.shape[r]]),u=i.as2D(-1,s),l=xt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(o);return null!=a&&(c=c.transpose(Qe(a))),c},e.prototype.segOpCompute=function(t,e,n,r,a){var i=t.shape[0],o=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Nr?(n=t,r=!0):n=j(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=j(t,n+1);return n}(o,a),u=new bo({windowSize:s,inSize:o,batchSize:i,numSegments:a},e),l=this.compileAndRun(u,[t,n],r);return l.shape[1]===a?l:(n=Cn(0,a).tile([o/s]),this.segOpCompute(l,e,n,r,a))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Je("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!o().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var a=$e(t.shape,r),i=a[0],s=x(a[1]),u=t.as2D(-1,s);return this.argReduce(u,n).reshape(i)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.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 a=new hi(t.shape,n,r);return this.compileAndRun(a,[t])},e.prototype.equal=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ha("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ha("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ha("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ha("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ha("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ha("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new _o(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(o().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 Ha("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(o().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 Ha("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new xo(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],bt(e.dtype,n.dtype))},e.prototype.where=function(t){Ue("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return ga(t.shape,e)},e.prototype.topk=function(t,e,n){return ma(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Je("min",e,t.rank);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ha("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.mod=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ha("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Je("max",e,t.rank);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\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 Ha("\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])},e.prototype.all=function(t,e){Je("all",e,t.rank);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(t,e){Je("any",e,t.rank);var n=$e(t.shape,e),r=n[0],a=x(n[1]),i=t.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.squaredDifference=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("return (a - b) * (a - b);",t.shape,e.shape):new Ha("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.realDivide=function(t,e){if(o().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(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n","float32",!0);var n=new Ha("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return this.compileAndRun(n,[t,e],"float32")},e.prototype.floorDiv=function(t,e){if(o().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 Ha("\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);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ua);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=bt(t.dtype,e.dtype);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ua,n);var r=new Ha(Ua,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new Yo(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,a){void 0===a&&(a=!1);var i=new Xa(n,t.shape,e.shape,a);return this.compileAndRun(i,[t,e],r)},e.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,a=this.texData.get(t.dataId),i=this.texData.get(e.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map(function(a){var i=a[0],o=a[1],s=r.makeComplexComponentTensorInfo(t,i),u=r.makeComplexComponentTensorInfo(e,o),l=new Ha(n,t.shape,e.shape);return r.compileAndRun(l,[s,u],bt(i.dtype,o.dtype))}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>o().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 a=t.map(function(t){return t.dtype}).reduce(function(t,e){return bt(t,e)}),i=t.map(function(t){return t.shape}),s=o().getBool("WEBGL_PACK")?new ya(t[0].shape,i):new va(t[0].shape,i);return this.compileAndRun(s,t,a)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,ja);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=bt(t.dtype,e.dtype);if(o().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,ja,t.dtype);var r=new Ha(ja,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ha("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=bt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Vo,t.dtype);var e=new _o(t.shape,Vo);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Uo,t.dtype);var e=new _o(t.shape,Uo);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new _o(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new _o(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new _o(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new _o(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new _o(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])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,jo,t.dtype);var e=new _o(t.shape,jo);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Go,t.dtype);var e=new _o(t.shape,Go);return this.compileAndRun(e,[t])},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\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",t.dtype);var e=new _o(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new _o(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new _o(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new _o(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new _o(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=o().getBool("WEBGL_PACK")?new Yo(t.shape,Ko):new _o(t.shape,Lo),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=o().getBool("WEBGL_PACK")?new Yo(t.shape,Xo):new _o(t.shape,Bo),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa(Ka,t.shape,e.shape):new Ha(qa,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,$o,t.dtype);var e=new _o(t.shape,Po);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\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 Ha("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new _o(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])},e.prototype.int=function(t){var e=new _o(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,a=(r=o().getBool("WEBGL_PACK_CLIP")?new Ya(t.shape):new $a(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,a)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(o().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,zo,t.dtype);var e=new _o(t.shape,zo);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Ja(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new _o(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new _o(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])},e.prototype.sin=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new _o(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=o().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Xa("\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 Ha("\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])},e.prototype.sinh=function(t){var e=new _o(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new _o(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new _o(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])},e.prototype.asinh=function(t){var e=new _o(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new _o(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])},e.prototype.atanh=function(t){var e=new _o(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])},e.prototype.erf=function(t){var e=new _o(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 sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},e.prototype.step=function(t,e){var n=new _o(t.shape,function(t){return void 0===t&&(t=0),Fo+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,a,i){var s=t.shape,u=this.texData.get(t.dataId),l=n.inChannels,c=s[0]*s[1]*s[2],p=n.outChannels,h="channelsLast"===n.dataFormat,f=(1===c||1===p)&&l>1e3,d=s[2]%2!=0&&!!u.isPacked;if(f||!o().getBool("WEBGL_LAZILY_UNPACK")||!o().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!d){var m=h?s[0]*s[1]*s[2]:s[0]*s[2]*s[3],v=this.reshape(t,[1,m,n.inChannels]),y=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:v,b:y,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),n.outShape)}var b=h?s[0]*s[1]*(s[2]+1):s[0]*s[2]*(s[3]+1),x={dataId:t.dataId,shape:[1,b,n.inChannels],dtype:t.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,g(Se(u.shape,x.shape),function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"});var C=this.reshape(e,[1,n.inChannels,n.outChannels]),N=this.fusedBatchMatMul({a:x,b:C,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),S=this.texData.get(N.dataId);return g(S.isPacked,function(){return"batchMatMul result is expected to be packed"}),u.shape=w,S.shape=n.outShape,At.makeTensorFromDataId(N.dataId,n.outShape,N.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,a,i){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,l=n.outWidth,c=n.outHeight,p="channelsLast"===n.dataFormat,h=o*s*u,f=c*l,d=[h,f],m=t.squeeze([0]),g=e.reshape([1,h,-1]),v=new Xi(d,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=i,w=a?Qo(a,!0):null,C=new to(y.shape,[1,f,n.outChannels],!0,!1,b,w,x),N=[y,g];r&&N.push(r),x&&N.push(i);var S=this.compileAndRun(C,N);return p?S.reshape([1,c,l,n.outChannels]):S.reshape([1,n.outChannels,c,l])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,s=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,a,i,s);if(o().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,a,i,s);var u=null!=a,l=null!=s,c=i?Qo(i,!1):null,p=new si(r,u,c,l),h=[e,n];return a&&h.push(a),s&&h.push(s),this.compileAndRun(p,h)},e.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(o().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new si(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new ni(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new ei(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,a=t.convInfo,i=t.bias,s=t.activation,u=t.preluActivationWeights,l=o().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels==1,c=s?Qo(s,l):null,p=[n,r],h=null!=i,f=null!=u;return h&&p.push(i),f&&p.push(u),l?(e=new ci(a,h,c,f),this.compileAndRun(e,p)):(e=new li(a,h,c,f),this.compileAndRun(e,p))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return o().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new ci(n),this.compileAndRun(r,[t,e])):(r=new li(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new oi(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new ii(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new ui(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new ai(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new ri(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new oo(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new oo(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var a=new oo(r,"max",!0),i=this.compileAndRun(a,[e]),o=new Zi(r),s=this.compileAndRun(o,[t,i],e.dtype);return i.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new La(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return ra(t,e,this)},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),a=0,i=0;i<t.rank;i++)i!==e&&(r[a++]=t.shape[i]);var o=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(i=0;i<u.length;i++)o[e]=i,u[i]=this.slice(t,o,s).reshape(r);return u},e.prototype.avgPool3d=function(t,e){var n=new so(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new Ba(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new so(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var a=new so(r,"max",!0),i=this.compileAndRun(a,[e]),o=new Qi(r),s=this.compileAndRun(o,[t,i],e.dtype);return i.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!Se(t.shape,e)&&(null===n.texture||!Se(n.shape,e))){var r=this.packedReshape(t,e);return At.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return aa(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var a=o().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new ho(t.shape,e,n,r):new po(t.shape,e,n,r);return this.compileAndRun(a,[t])},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new co(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var a=new mo(t.shape,e,n,r);return this.compileAndRun(a,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new fo(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var a=e?t:Lr(t),i=a.shape[0],o=a.shape[1],s=new eo(i,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var a=new no(t.size,e,n,r);return this.compileAndRun(a,[t])},e.prototype.diag=function(t){var e=new vi(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,a){return Ue("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),pa(t.dataSync(),e.dataSync(),n,r,a)},e.prototype.cropAndResize=function(t,e,n,r,a,i){var o=new pi(t.shape,e.shape,r,a,i);return this.compileAndRun(o,[t,e,n])},e.prototype.depthToSpace=function(t,e,n){g(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],a="NHWC"===n?t.shape[1]:t.shape[2],i="NHWC"===n?t.shape[2]:t.shape[3],o="NHWC"===n?t.shape[3]:t.shape[1],s=a*e,u=i*e,l=o/(e*e),c=new gi("NHWC"===n?[r,s,u,l]:[r,l,s,u],e,n);return this.compileAndRun(c,[t])},e.prototype.split=function(t,e,n){return fa(t,e,n)},e.prototype.scatterND=function(t,e,n){var r=Ir(0,t,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/o,o],c=t.reshape([i,a]),p=e.reshape([i,o]);if(0===u)return aa(un([]),n);var h=cn(0),f=new yo(i,a,c.rank,p.rank,s,l);return this.compileAndRun(f,[p,c,h]).reshape(n)},e.prototype.sparseToDense=function(t,e,n,r){var a=Ir(0,t,n),i=a.sliceRank,o=a.numUpdates,s=a.strides,u=a.outputSize,l=new yo(o,i,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(l,[e,t,r]).reshape(n)},e.prototype.fft=function(t){return this.fftImpl(t,!1)},e.prototype.ifft=function(t){return this.fftImpl(t,!0)},e.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new Ci("return real * expR - imag * expI;",t.shape,e),a=new Ci("return real * expI + imag * expR;",t.shape,e),i=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],o=this.compileAndRun(r,i),s=this.compileAndRun(a,i),u=this.complex(o,s).as2D(t.shape[0],t.shape[1]);return o.dispose(),s.dispose(),u},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],a=Cr(t,e),i=a[0],o=a[1],s=a[2],u=a[3],l=e.reshape([o,r]),c=t.reshape([t.size/s,s]),p=new Ei(r,u,[o,s]);return this.compileAndRun(p,[c,l]).reshape(i)},e.prototype.fill=function(t,e,n){if("string"===(n=n||V(e))){var r=D(n,x(t));return r.fill(e),At.makeTensor(r,t,n,this)}var a=new Ni(t,e),i=a.getCustomSetupFunc(e);return this.compileAndRun(a,[],n,i)},e.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)},e.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},e.prototype.linspace=function(t,e,n){return ia(t,e,n)},e.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},e.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return At.makeTensorFromDataId(n,t,e,this)},e.prototype.unpackTensor=function(t){var e=new Jo(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},e.prototype.packTensor=function(t){var e=new ro(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},e.prototype.packedReshape=function(t,e){var n=[be(t.shape)].concat(xe(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},a=[be(e)].concat(xe(e)),i=new lo(a,n),o=this.runWebGLProgram(i,[r],t.dtype,null,!0);return{dataId:o.dataId,shape:e,dtype:o.dtype}},e.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,a=n.shape,i=n.dtype,o=we(a);return e=r?new mi(o):new di(o),{dtype:i,shape:a,dataId:this.runWebGLProgram(e,[{shape:o,dtype:i,dataId:t}],i,null,!0).dataId}},e.prototype.runWebGLProgram=function(t,e,n,r,a){var i=this;void 0===a&&(a=!1);var s=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(s.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Dt.DENSE){var l=Wt(t.outputShape);u.texShape=l.map(function(t){return 2*t})}if(null!=t.outTexUsage&&(u.usage=t.outTexUsage),0===x(s.shape))return u.values=T(s.dtype,0),s;var c=[],p=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=i.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&x(e.shape)<=o().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.packedInputs&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.packedInputs)e=n.isPacked?i.unpackTensor(e):i.packTensor(e),c.push(e),n=i.texData.get(e.dataId);else if(n.isPacked&&!Se(n.shape,e.shape)){var r=e,a=e.shape;e.shape=n.shape,e=i.packedReshape(e,a),c.push(e),n=i.texData.get(e.dataId),r.shape=a}return i.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(s.dataId);var h,f={shape:s.shape,texData:u,isUniform:!1},d=function(t,e,n){var r="";p.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 a=t.userCode;return t.constructor.name+"_"+r+"_"+a}(t,0,f),m=this.getAndSaveBinary(d,function(){return function(t,e,n,r){var a=e.userCode,i=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}}),s=i.map(function(t){return t.shapeInfo}),u={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=ka(i,u,a,e.packedInputs),c=t.createProgram(l),p=null,h=t.getUniformLocation(c,"NAN",!1);1===o().getNumber("WEBGL_VERSION")&&(p=t.getUniformLocation(c,"INFINITY",!1));for(var f={},d=0;d<e.variableNames.length;d++){var m=e.variableNames[d];f[m]=t.getUniformLocation(c,m,!1),f["offset"+m]=t.getUniformLocation(c,"offset"+m,!1)}return{program:e,source:l,webGLProgram:c,uniformLocations:f,inShapeInfos:s,outShapeInfo:u,infLoc:p,nanLoc:h}}(i.gpgpu,t,p,f)}),g=null!=this.activeTimers;if(g&&(h=this.startTimer()),function(t,e,n,r,a){Ki(e.inShapeInfos,n),Ki([e.outShapeInfo],[r]);var i=r.texData.texture,s=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(i,s[0],s[1]):t.setOutputMatrixTexture(i,s[0],s[1]),t.setProgram(e.webGLProgram),1===o().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 a=e.program.variableNames[r],i=e.uniformLocations[a],o=e.uniformLocations["offset"+a];if(null!=i)if(n.isUniform)if(x(n.shape)<2)t.gl.uniform1f(i,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(i,s)}else null!=n.texData.slice&&null!=o&&t.gl.uniform1i(o,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,i,r)}),null!=a&&a(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,m,p,f,r),c.forEach(function(t){return i.disposeData(t.dataId)}),g&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)})),!o().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===a){var v=this.unpackTensor(s);return this.disposeData(s.dataId),v}return s},e.prototype.compileAndRun=function(t,e,n,r,a){void 0===a&&(a=!1),n=n||e[0].dtype;var i=this.runWebGLProgram(t,e,n,r,a);return At.makeTensorFromDataId(i.dataId,i.shape,i.dtype)},e.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){this.disposed||(this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)},e.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Be(function(){if(!o().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=o().getBool("DEBUG");o().set("DEBUG",!1);var n=t.abs(cn(1e-8)).dataSync()[0];if(o().set("DEBUG",e),n>0)return 32}return 16})),this.floatPrecisionValue},e.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},e.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,a=n.dtype,i=n.values,o=n.texture,s=n.usage,u=n.isPacked;if(null==o){var l,c=null!=this.activeTimers;c&&(l=$());var p=n.texShape;if(null==p&&(p=Ce(r,u),n.texShape=p),null!=i){var h=we(r),f=void 0,d=p[1],m=p[0],g=i instanceof Uint8Array;u?(d=(e=Vt(p[0],p[1]))[0],m=e[1],f=new wi(h,[m,d],g)):f=new xi(h,[m,d],g);var v=this.makeTensorInfo([m,d],a);this.texData.get(v.dataId).usage=g?Ot.PIXELS:Ot.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(v.dataId),d,m,i);var y=this.runWebGLProgram(f,[v],a,null,!0),b=this.texData.get(y.dataId);n.texture=b.texture,n.texShape=b.texShape,n.isPacked=b.isPacked,n.usage=b.usage,this.disposeData(v.dataId),this.texData.delete(y.dataId),n.values=null,c&&(this.uploadWaitMs+=$()-l)}else{var x=this.acquireTexture(p,s,a,u);n.texture=x}}},e.prototype.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.dtype;return this.releaseGPUData(t),null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){for(var n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length),r=0;r<n.length;++r)n[r]=Math.round(t[r]);return n}throw new Error("Unknown dtype "+e)}(e,r)),n.values},e.prototype.acquireTexture=function(t,e,n,r){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+a+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(t,e,r)},e.prototype.computeBytes=function(t,e){return t[0]*t[1]*z(e)},e}(Wr);Rt()&&At.registerBackend("webgl",function(){return new es},2);var ns=rn({square_:function(t){var e=qe(t,"x","square"),n=[e];return At.runKernelFunc(function(t,n){return n([e]),t.square(e)},{x:e},function(t,e){var n=e[0];return{x:function(){return t.mul(n.toFloat().mul(2))}}},"Square",{},n,[])}}),rs=rn({abs_:function(t){var e=qe(t,"x","abs");return"complex64"===e.dtype?At.runKernelFunc(function(t){return t.complexAbs(e)},{$x:e}):At.runKernelFunc(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))}}},"Abs")}}),as=rn({acos_:function(t){var e=qe(t,"x","acos");return At.runKernelFunc(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(cn(1).sub(n.toFloat().square()).sqrt()).neg()}}})}}),is=rn({acosh_:function(t){var e=qe(t,"x","acosh");return At.runKernelFunc(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())}}})}}),os=rn({asin_:function(t){var e=qe(t,"x","asin");return At.runKernelFunc(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(cn(1).sub(n.toFloat().square()).sqrt())}}})}}),ss=rn({asinh_:function(t){var e=qe(t,"x","asinh");return At.runKernelFunc(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(cn(1).add(n.toFloat().square()).sqrt())}}})}}),us=rn({atan_:function(t){var e=qe(t,"x","atan");return At.runKernelFunc(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))}}})}}),ls=rn({atanh_:function(t){var e=qe(t,"x","atanh");return At.runKernelFunc(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(cn(1).sub(n.toFloat().square()))}}})}}),cs=rn({ceil_:function(t){var e=qe(t,"x","ceil");return At.runKernelFunc(function(t){return t.ceil(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),ps=rn({clipByValue_:function(t,e,n){var r=qe(t,"x","clipByValue");return g(e<=n,function(){return"Error in clip: min ("+e+") must be less than or equal to max ("+n+")."}),At.runKernelFunc(function(t,a){var i=t.clip(r,e,n);return a([r]),i},{$x:r},function(t,r){var a=r[0];return{$x:function(){return t.where(a.greaterEqual(e).logicalAnd(a.lessEqual(n)),Sn(t))}}})}}),hs=rn({cos_:function(t){var e=qe(t,"x","cos");return At.runKernelFunc(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)}}})}}),fs=rn({cosh_:function(t){var e=qe(t,"x","cosh");return At.runKernelFunc(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)}}})}}),ds=rn({erf_:function(t){var e=qe(t,"x","erf");return g("int32"===e.dtype||"float32"===e.dtype,function(){return"Input dtype must be `int32` or `float32`."}),"int32"===e.dtype&&(e=e.toFloat()),At.runKernelFunc(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)))}}})}}),ms=rn({exp_:function(t){var e=qe(t,"x","exp");return At.runKernelFunc(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])}}})}}),gs=rn({expm1_:function(t){var e=qe(t,"x","expm1");return At.runKernelFunc(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())}}})}}),vs=rn({floor_:function(t){var e=qe(t,"x","floor");return At.runKernelFunc(function(t){return t.floor(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),ys=rn({log_:function(t){var e=qe(t,"x","log");return At.runKernelFunc(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())}}})}}),bs=rn({log1p_:function(t){var e=qe(t,"x","log1p");return At.runKernelFunc(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))}}})}}),xs=rn({logSigmoid_:function(t){var e=qe(t,"x","logSigmoid");return At.runKernelFunc(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())}}})}}),ws=rn({neg_:function(t){var e=qe(t,"x","neg");return At.runKernelFunc(function(t){return t.neg(e)},{$x:e},function(t){return{$x:function(){return t.neg()}}})}}),Cs=rn({reciprocal_:function(t){var e=qe(t,"x","reciprocal");return At.runKernelFunc(function(t,n){var r=t.reciprocal(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.square().neg())}}})}}),Ns=rn({round_:function(t){var e=qe(t,"x","round");return At.runKernelFunc(function(t){return t.round(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),Ss=rn({rsqrt_:function(t){var e=qe(t,"x","rsqrt");return At.runKernelFunc(function(t,n){var r=t.rsqrt(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.pow(1.5).mul(2)).neg()}}})}}),Is=rn({sigmoid_:function(t){var e=qe(t,"x","sigmoid");return At.runKernelFunc(function(t,n){var r=t.sigmoid(e);return n([r]),r},{x:e},function(t,e){var n=e[0];return{x:function(){return t.mul(n.mul(cn(1).sub(n)))}}},"Sigmoid")}}),ks=rn({sign_:function(t){var e=qe(t,"x","sign");return At.runKernelFunc(function(t){return t.sign(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),Es=rn({isNaN_:function(t){var e=qe(t,"x","isNaN");return At.runKernelFunc(function(t){return t.isNaN(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),As=rn({isInf_:function(t){var e=qe(t,"x","isInf");return At.runKernelFunc(function(t){return t.isInf(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),Rs=rn({isFinite_:function(t){var e=qe(t,"x","isFinite");return At.runKernelFunc(function(t){return t.isFinite(e)},{$x:e},function(t){return{$x:function(){return Sn(t)}}})}}),Ts=rn({sin_:function(t){var e=qe(t,"x","sin");return At.runKernelFunc(function(t,n){var r=t.sin(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return n.toFloat().cos().mul(t)}}})}}),Ds=rn({sinh_:function(t){var e=qe(t,"x","sinh");return At.runKernelFunc(function(t,n){var r=t.sinh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return n.toFloat().cosh().mulStrict(t)}}})}}),Os=rn({softplus_:function(t){var e=qe(t,"x","softplus");return At.runKernelFunc(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())}}})}}),_s=rn({sqrt_:function(t){var e=qe(t,"x","sqrt");return At.runKernelFunc(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))}}})}}),Fs=rn({step_:function(t,e){void 0===e&&(e=0);var n=qe(t,"x","step");return At.runKernelFunc(function(t){return t.step(n,e)},{$x:n},function(t){return{$x:function(){return Sn(t)}}})}}),Ms=rn({tan_:function(t){var e=qe(t,"x","tan");return At.runKernelFunc(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())}}})}}),zs=rn({tanh_:function(t){var e=qe(t,"x","tanh");return At.runKernelFunc(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 cn(1).sub(n.square()).mulStrict(t)}}})}});function Ls(t,e,n,r,a,i){var o,s,u=qe(t,"x","batchNorm"),l=qe(e,"mean","batchNorm"),c=qe(n,"variance","batchNorm");return null!=a&&(o=qe(a,"scale","batchNorm")),null!=r&&(s=qe(r,"offset","batchNorm")),g(2===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),g(2===l.rank||1===l.rank,function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."}),g(2===c.rank||1===c.rank,function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."}),null!=o&&g(2===o.rank||1===o.rank,function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."}),null!=s&&g(2===s.rank||1===s.rank,function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."}),Ws(u,l,c,s,o,i)}function Bs(t,e,n,r,a,i){var o,s,u=qe(t,"x","batchNorm"),l=qe(e,"mean","batchNorm"),c=qe(n,"variance","batchNorm");return null!=a&&(o=qe(a,"scale","batchNorm")),null!=r&&(s=qe(r,"offset","batchNorm")),g(3===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),g(3===l.rank||1===l.rank,function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."}),g(3===c.rank||1===c.rank,function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."}),null!=o&&g(3===o.rank||1===o.rank,function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."}),null!=s&&g(3===s.rank||1===s.rank,function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."}),Ws(u,l,c,s,o,i)}function Ps(t,e,n,r,a,i){var o,s,u=qe(t,"x","batchNorm"),l=qe(e,"mean","batchNorm"),c=qe(n,"variance","batchNorm");return null!=a&&(o=qe(a,"scale","batchNorm")),null!=r&&(s=qe(r,"offset","batchNorm")),g(4===u.rank,function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."}),g(4===l.rank||1===l.rank,function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."}),g(4===c.rank||1===c.rank,function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."}),null!=o&&g(4===o.rank||1===o.rank,function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."}),null!=s&&g(4===s.rank||1===s.rank,function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."}),Ws(u,l,c,s,o,i)}function Ws(t,e,n,r,a,i){null==i&&(i=.001);var o,s,u,l=qe(t,"x","batchNorm"),c=qe(e,"mean","batchNorm"),p=qe(n,"variance","batchNorm");null!=a&&(o=qe(a,"scale","batchNorm")),null!=r&&(s=qe(r,"offset","batchNorm")),g(c.rank===p.rank,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),g(null==s||c.rank===s.rank,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),g(null==o||c.rank===o.rank,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l;var h=[l,c,p,o];return At.runKernelFunc(function(t,e){var n=t.batchNormalization(u,Vs(c),Vs(p),i,Vs(o),Vs(s));return e([l,c,p,o]),n},{x:l,mean:c,variance:p,scale:o,offset:s},function(t,e){var n=e,r=n[0],a=n[1],o=n[2],s=n[3],l=null==s?cn(1):s,c=jr(a.shape,u.shape),p=[];if(1===a.rank){for(var h=0;h<u.shape.length-1;++h)p.push(u.shape[h]);p.push(1)}var f=r.sub(a),d=t.mul(l),m=Ss(o.add(cn(i))),g=m.mul(m).mul(m).mul(cn(-.5));return{x:function(){return 1===a.rank?t.mul(fr(m.as4D(1,1,1,a.shape[0]),p)).mul(l).reshape(r.shape):t.mul(m).mul(l).reshape(r.shape)},mean:function(){var t=m.mul(cn(-1)).mul(d);return 1===a.rank&&(t=t.sum(c)),t.reshape(a.shape)},variance:function(){var t=g.mul(f).mul(d);return 1===a.rank&&(t=t.sum(c)),t.reshape(a.shape)},scale:function(){var e=f.mul(m),n=t.mul(e);return 1===a.rank&&(n=n.sum(c)),n.reshape(a.shape)},offset:function(){var e=t;return 1===a.rank&&(e=e.sum(c)),e.reshape(a.shape)}}},"BatchNormalization",{varianceEpsilon:i},h).reshape(l.shape)}function Vs(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 Us(){ze("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon")}var js=rn({batchNormalization2d_:function(t,e,n,r,a,i){return void 0===r&&(r=.001),Us(),Ls(t,e,n,i,a,r)}}),Gs=rn({batchNormalization3d_:function(t,e,n,r,a,i){return void 0===r&&(r=.001),Us(),Bs(t,e,n,i,a,r)}}),qs=rn({batchNormalization4d_:function(t,e,n,r,a,i){return void 0===r&&(r=.001),Us(),Ps(t,e,n,i,a,r)}}),Hs=rn({batchNormalization_:function(t,e,n,r,a,i){return void 0===r&&(r=.001),Us(),Ws(t,e,n,i,a,r)}}),Ks=rn({batchNorm_:Ws}),Xs=rn({batchNorm2d_:Ls}),$s=rn({batchNorm3d_:Bs}),Ys=rn({batchNorm4d_:Ps}),Js=rn({logicalAnd_:function(t,e){var n=qe(t,"a","logicalAnd","bool"),r=qe(e,"b","logicalAnd","bool");return Gr(n.shape,r.shape),At.runKernelFunc(function(t){return t.logicalAnd(n,r)},{$a:n,$b:r})}}),Zs=rn({logicalNot_:function(t){var e=qe(t,"x","logicalNot","bool");return At.runKernelFunc(function(t){return t.logicalNot(e)},{$x:e})}}),Qs=rn({logicalOr_:function(t,e){var n=qe(t,"a","logicalOr","bool"),r=qe(e,"b","logicalOr","bool");return Gr(n.shape,r.shape),At.runKernelFunc(function(t){return t.logicalOr(n,r)},{$a:n,$b:r})}}),tu=rn({logicalXor_:function(t,e){var n=qe(t,"a","logicalXor","bool"),r=qe(e,"b","logicalXor","bool");return Gr(n.shape,r.shape),Qs(t,e).logicalAnd(Js(t,e).logicalNot())}}),eu=rn({where_:function(t,e,n){var r=qe(e,"a","where"),a=qe(n,"b","where"),i=qe(t,"condition","where","bool");return v(r.shape,a.shape,"Error in where: "),1===i.rank?g(i.shape[0]===r.shape[0],function(){return"The first dimension of `a` must match the size of `condition`."}):v(i.shape,a.shape,"Error in where: "),At.runKernelFunc(function(t,e){var n=t.select(i,r,a);return e([i]),n},{$condition:i,$a:r,$b:a},function(t,e){var n=e[0];return{$condition:function(){return Sn(n).toFloat()},$a:function(){return t.mul(n.cast(t.dtype))},$b:function(){return t.mul(n.logicalNot().cast(t.dtype))}}})}}),nu=function(t){return r(this,void 0,void 0,function(){var e,n,r;return a(this,function(a){switch(a.label){case 0:return[4,(e=qe(t,"condition","whereAsync","bool")).data()];case 1:return n=a.sent(),r=ga(e.shape,n),t!==e&&e.dispose(),[2,r]}})})},ru=rn({add_:function(t,e){var n,r=qe(t,"a","add"),a=qe(e,"b","add");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t){return t.add(r,a)},{a:r,b:a},function(t){return{a:function(){var e=t,n=jr(r.shape,i);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},b:function(){var e=t,n=jr(a.shape,i);return n.length>0&&(e=e.sum(n)),e.reshape(a.shape)}}},"Add")}}),au=rn({addN_:function(t){g(Array.isArray(t),function(){return"The argument passed to tf.addN() must be a list of tensors"}),g(t.length>=1,function(){return"Must pass at least one tensor to tf.addN(), but got "+t.length});var e=t.map(function(t,e){return qe(t,"tensors"+e,"addN")}),n=e[0];e.forEach(function(t){if(t.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(function(t){if(!w(t.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});var r=e;return At.runKernelFunc(function(t){return t.addN(e)},r,function(t){var n={};return e.forEach(function(e,r){n[r]=function(){return t.clone()}}),n})}}),iu=rn({addStrict_:function(t,e){var n=qe(t,"a","addStrict"),r=qe(e,"b","addStrict");return v(n.shape,r.shape,"Error in addStrict: "),n.add(r)}}),ou=rn({atan2_:function(t,e){var n,r=qe(t,"a","atan2"),a=qe(e,"b","atan2");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t,e){var n=t.atan2(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=ru(n.square(),r.square()),a=t.mul(r.div(e)),o=jr(n.shape,i);return o.length>0&&(a=a.sum(o)),a.reshape(n.shape)},$b:function(){var e=ru(n.square(),r.square()),a=ws(t.mul(n.div(e))),o=jr(r.shape,i);return o.length>0&&(a=a.sum(o)),a.reshape(r.shape)}}})}}),su=rn({div_:function(t,e){var n,r=qe(t,"a","div"),a=qe(e,"b","div");if(n=wt(r,a),r=n[0],a=n[1],"int32"===r.dtype&&"int32"===a.dtype)return lu(r,a);var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t,e){var n=t.realDivide(r,a);return e([r,a]),n},{a:r,b:a},function(t,e){var n=e[0],r=e[1];return{a:function(){var e=t.div(r.toFloat()),a=jr(n.shape,i);return a.length>0?e.sum(a).reshape(n.shape):e},b:function(){var e=t.mul(n.toFloat()),a=jr(r.shape,i);a.length>0&&(e=e.sum(a).reshape(r.shape));var o=r.square();return e.div(o.toFloat()).neg()}}},"Div")}}),uu=rn({divStrict_:function(t,e){var n=qe(t,"a","div"),r=qe(e,"b","div");return v(n.shape,r.shape,"Error in divideStrict: "),n.div(r)}}),lu=rn({floorDiv_:function(t,e){var n,r=qe(t,"a","floorDiv"),a=qe(e,"b","floorDiv");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t,e){var n=t.floorDiv(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=t.div(r.toFloat()),a=jr(n.shape,i);return a.length>0?e.sum(a).reshape(n.shape):e},$b:function(){var e=t.mul(n.toFloat()),a=jr(r.shape,i);a.length>0&&(e=e.sum(a).reshape(r.shape));var o=r.square();return e.div(o.toFloat()).neg()}}})}}),cu=rn({maximum_:function(t,e){var n,r=qe(t,"a","maximum"),a=qe(e,"b","maximum");return n=wt(r,a),r=n[0],a=n[1],"bool"===r.dtype&&(r=r.toInt(),a=a.toInt()),Gr(r.shape,a.shape),At.runKernelFunc(function(t,e){var n=t.maximum(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){return t.mul(n.greaterEqual(r).toFloat())},$b:function(){return t.mul(n.less(r).toFloat())}}})}}),pu=rn({maximumStrict_:function(t,e){var n=qe(t,"a","maximumStrict"),r=qe(e,"b","maximumStrict");return v(n.shape,r.shape,"Error in maximumStrict: "),n.maximum(r)}}),hu=rn({minimum_:function(t,e){var n,r=qe(t,"a","minimum"),a=qe(e,"b","minimum");return n=wt(r,a),r=n[0],a=n[1],"bool"===r.dtype&&(r=r.toInt(),a=a.toInt()),Gr(r.shape,a.shape),At.runKernelFunc(function(t,e){var n=t.minimum(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){return t.mul(n.lessEqual(r).toFloat())},$b:function(){return t.mul(n.greater(r).toFloat())}}})}}),fu=rn({minimumStrict_:function(t,e){var n=qe(t,"a","minimumStrict"),r=qe(e,"b","minimumStrict");return v(n.shape,r.shape,"Error in minimumStrict: "),n.minimum(r)}}),du=rn({mod_:function(t,e){var n,r=qe(t,"a","mod"),a=qe(e,"b","mod");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t,e){var n=t.mod(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=jr(n.shape,i);return e.length>0?t.sum(e).reshape(n.shape):t},$b:function(){var e=t.mul(n.div(r).floor().neg()),a=jr(r.shape,i);return a.length>0?e.sum(a).reshape(r.shape):e}}})}}),mu=rn({modStrict_:function(t,e){var n=qe(t,"a","modStrict"),r=qe(e,"b","modStrict");return v(n.shape,r.shape,"Error in modStrict: "),n.mod(r)}}),gu=rn({mul_:function(t,e){var n,r=qe(t,"a","mul"),a=qe(e,"b","mul");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t,e){var n=t.multiply(r,a);return e([r,a]),n},{a:r,b:a},function(t,e){var n=e[0],r=e[1];return{a:function(){var e=t.mul(r.toFloat()),a=jr(n.shape,i);return a.length>0?e.sum(a).reshape(n.shape):e},b:function(){var e=t.mul(n.toFloat()),a=jr(r.shape,i);return a.length>0?e.sum(a).reshape(r.shape):e}}},"Mul")}}),vu=rn({mulStrict_:function(t,e){var n=qe(t,"a","mul"),r=qe(e,"b","mul");return v(n.shape,r.shape,"Error in multiplyStrict: "),n.mul(r)}}),yu=rn({pow_:function(t,e){var n=qe(t,"base","pow"),r=qe(e,"exp","pow"),a=Gr(n.shape,r.shape);return t=n.cast(bt(n.dtype,r.dtype)),e=r.cast(bt(n.dtype,r.dtype)),At.runKernelFunc(function(t,e){var a=t.pow(n,r);return e([n,r,a]),a},{$base:n,$exp:r},function(t,e){var n=e[0],r=e[1],i=e[2];return{$base:function(){var e=r.toFloat(),i=t.mul(e.mul(n.pow(e.sub(cn(1))))),o=jr(n.shape,a);return o.length>0&&(i=i.sum(o)),i.reshape(n.shape)},$exp:function(){var e=n.greater(0),o=n.log().where(e,Sn(n)),s=t.mul(i.mul(o)),u=jr(r.shape,a);return u.length>0&&(s=s.sum(u)),s.reshape(r.shape)}}})}}),bu=rn({powStrict_:function(t,e){return v(t.shape,e.shape,"Error in powStrict: "),t.pow(e)}}),xu=rn({squaredDifference_:function(t,e){var n,r=qe(t,"a","squaredDifference"),a=qe(e,"b","squaredDifference");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t,e){var n=t.squaredDifference(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1],a=cn(2);return{$a:function(){return t.mul(n.sub(r).mul(a))},$b:function(){return t.mul(r.sub(n).mul(a))}}})}}),wu=rn({squaredDifferenceStrict_:function(t,e){var n=qe(t,"a","squaredDifferenceStrict"),r=qe(e,"b","squaredDifferenceStrict");return v(n.shape,r.shape,"Error in squaredDifferenceStrict: "),n.squaredDifference(r)}}),Cu=rn({sub_:function(t,e){var n,r=qe(t,"a","sub"),a=qe(e,"b","sub");n=wt(r,a),r=n[0],a=n[1];var i=Gr(r.shape,a.shape);return At.runKernelFunc(function(t){return t.subtract(r,a)},{a:r,b:a},function(t){return{a:function(){var e=t,n=jr(r.shape,i);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},b:function(){var e=t,n=jr(a.shape,i);return n.length>0&&(e=e.sum(n)),e.neg().reshape(a.shape)}}},"Sub")}}),Nu=rn({subStrict_:function(t,e){var n=qe(t,"a","subStrict"),r=qe(e,"b","subStrict");return v(n.shape,r.shape,"Error in subStrict: "),n.sub(r)}}),Su=rn({equal_:function(t,e){var n,r=qe(t,"a","equal"),a=qe(e,"b","equal");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t){return t.equal(r,a)},{$a:r,$b:a})}}),Iu=rn({equalStrict_:function(t,e){var n=qe(t,"a","equalStrict"),r=qe(e,"b","equalStrict");return v(n.shape,r.shape,"Error in equalStrict: "),n.equal(r)}}),ku=rn({greater_:function(t,e){var n,r=qe(t,"a","greater"),a=qe(e,"b","greater");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t){return t.greater(r,a)},{$a:r,$b:a})}}),Eu=rn({greaterEqual_:function(t,e){var n,r=qe(t,"a","greaterEqual"),a=qe(e,"b","greaterEqual");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t,e){var n=t.greaterEqual(r,a);return e([r,a]),n},{$a:r,$b:a},function(t,e){var n=e[0],r=e[1];return{$a:function(){return Sn(n)},$b:function(){return Sn(r)}}})}}),Au=rn({greaterEqualStrict_:function(t,e){var n=qe(t,"a","greaterEqualStrict"),r=qe(e,"b","greaterEqualStrict");return v(n.shape,r.shape,"Error in greaterEqualStrict: "),n.greaterEqual(r)}}),Ru=rn({greaterStrict_:function(t,e){var n=qe(t,"a","greaterStrict"),r=qe(e,"b","greaterStrict");return v(n.shape,r.shape,"Error in greaterStrict: "),n.greater(r)}}),Tu=rn({less_:function(t,e){var n,r=qe(t,"a","less"),a=qe(e,"b","less");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t){return t.less(r,a)},{$a:r,$b:a})}}),Du=rn({lessEqual_:function(t,e){var n,r=qe(t,"a","lessEqual"),a=qe(e,"b","lessEqual");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t){return t.lessEqual(r,a)},{$a:r,$b:a})}}),Ou=rn({lessEqualStrict_:function(t,e){var n=qe(t,"a","lessEqualStrict"),r=qe(e,"b","lessEqualStrict");return v(n.shape,r.shape,"Error in lessEqualStrict: "),n.lessEqual(r)}}),_u=rn({lessStrict_:function(t,e){var n=qe(t,"a","lessStrict"),r=qe(e,"b","lessStrict");return v(n.shape,r.shape,"Error in lessStrict: "),n.less(r)}}),Fu=rn({notEqual_:function(t,e){var n,r=qe(t,"a","notEqual"),a=qe(e,"b","notEqual");return n=wt(r,a),r=n[0],a=n[1],Gr(r.shape,a.shape),At.runKernelFunc(function(t){return t.notEqual(r,a)},{$a:r,$b:a})}}),Mu=rn({notEqualStrict_:function(t,e){var n=qe(t,"a","notEqualStrict"),r=qe(e,"b","notEqualStrict");return v(n.shape,r.shape,"Error in notEqualStrict: "),n.notEqual(r)}});function zu(t,e){for(var n=[],r=t;r<e;++r)n.push(r);return n}function Lu(t){for(var e=[],n=0;n<t.length;++n)for(var r=0;r<t[n].length;++r)e.push(t[n][r]);return e}var Bu=rn({gather_:function(t,e,n){void 0===n&&(n=0);var r=qe(t,"x","gather"),a=qe(e,"indices","gather","int32");n=A(n,r.shape)[0];var i=function(t,e,n){for(var r=t.shape[n],a=[],i=1,o=1,s=0;s<n;s++)a.push(t.shape[s]),i*=t.shape[s];for(s=0;s<e.rank;s++)a.push(e.shape[s]);for(s=n+1;s<t.rank;s++)a.push(t.shape[s]),o*=t.shape[s];return{batchSize:i,sliceSize:o,dimSize:r,outputShape:a}}(r,a,n);return At.runKernelFunc(function(t,e){var i=t.gather(r,a.flatten(),n);return e([a]),i},{$x:r},function(t,e){var a=e[0];return{$x:function(){var e=r.shape,i=a.size,o=e.slice(0,n),s=o.length,u=e.slice(n,e.length).slice(1),l=u.length,c=zu(0,s),p=zu(s+1,s+1+l),h=Lu([o,[i],u]),f=t.reshape(h),d=a.reshape([i]),m=Lu([[s],c,p]),g=f.transpose(m),v=Pu(g,d,r.shape[n]),y=Qe(m);return v.transpose(y)}}}).reshape(i.outputShape)}}),Pu=rn({unsortedSegmentSum_:function(t,e,n){var r=qe(t,"x","unsortedSegmentSum"),a=qe(e,"segmentIds","unsortedSegmentSum","int32");return g(C(n),function(){return"numSegments must be of dtype int"}),At.runKernelFunc(function(t,e){var i=t.unsortedSegmentSum(r,a,n);return e([a]),i},{$x:r},function(t,e){var n=e[0];return{$x:function(){return function(t,e){for(var n=cu(e,Sn(e)),r=Bu(t,n),a=Eu(e,cn(0,"int32")),i=r.rank-a.rank,o=0;o<i;++o)a=Yn(a,o+1);a=Js(a,yn(r.shape,"bool"));var s=Sn(r);return eu(a,r,s)}(t,n)}}})}}),Wu=function(t,e,n){return r(this,void 0,void 0,function(){var r,i,o,s,u,l,c,p,h,f,d,m,y;return a(this,function(a){switch(a.label){case 0:for(r=qe(t,"tensor","boolMask"),i=qe(e,"mask","boolMask","bool"),o=null==n?0:n,s=i.rank,u=r.shape,g(s>0,function(){return"mask cannot be scalar"}),v(u.slice(o,o+s),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,c=o;c<o+s;c++)l*=u[c];return p=u.slice(0,o).concat([l],u.slice(o+s)),h=r.reshape(p),f=i.reshape([-1]),[4,nu(f)];case 1:return d=a.sent(),m=d.squeeze([1]),y=Bu(h,m,o),t!==r&&r.dispose(),e!==i&&i.dispose(),m.dispose(),h.dispose(),f.dispose(),d.dispose(),[2,y]}})})};function Vu(t,e,n,r,a,i,o){void 0===i&&(i="NHWC"),g(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var s=t,u=e,l=!1;3===e.rank&&(l=!0,u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]),s=[1,t[0],t[1],t[2]]),g(4===s.length,function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."}),g(4===u.rank,function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank}),g(4===n.rank,function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank});var c="NHWC"===i?s[3]:s[1],p="NHWC"===i?u.shape[3]:u.shape[1];g(c===n.shape[2],function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."}),g(p===n.shape[3],function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."}),null!=o&&g(C(a),function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+a+"."});var h=na(i),f=Kr(s,n.shape,r,1,a,o,!1,h),d=At.runKernelFunc(function(t,e){var r=t.conv2dDerInput(u,n,f);return e([n,u]),r},{dy4D:u,filter:n},function(t,e){var n=e[0],s=e[1];return{dy4D:function(){return qu(t,n,r,a,i,1,o)},filter:function(){return Ku(t,s,n.shape,r,a,i,o)}}});return l?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function Uu(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],a=e[2];return 1===n&&1===r&&1===a}function ju(t,e,n,r,a){g(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var i=t,o=e,s=!1;4===e.rank&&(s=!0,o=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]),i=[1,t[0],t[1],t[2],t[3]]);var u=i[4],l=o.shape[4];g(5===i.length,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."}),g(5===o.rank,function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank}),g(5===n.rank,function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank}),g(u===n.shape[3],function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."}),g(l===n.shape[4],function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."});var c=Xr(i,n.shape,r,1,a),p=At.runKernelFunc(function(t){return t.conv3dDerInput(o,n,c)},{dy5D:o});return s?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}var Gu=rn({conv1d_:function(t,e,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=qe(t,"x","conv1d"),u=qe(e,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),g(3===l.rank,function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."}),g(3===u.rank,function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."}),null!=o&&g(C(r),function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}),g(l.shape[2]===u.shape[1],function(){return"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."}),g(ea(n,i),function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"}),g("NWC"===a,function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."});var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),h=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),f=qu(h,p,[1,n],r,"NHWC",[1,i],o);return c?f.as2D(f.shape[2],f.shape[3]):f.as3D(f.shape[0],f.shape[2],f.shape[3])}}),qu=rn({conv2d_:function(t,e,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=qe(t,"x","conv2d"),u=qe(e,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),g(4===l.rank,function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."}),g(4===u.rank,function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."}),null!=o&&g(C(r),function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var p="NHWC"===a?l.shape[3]:l.shape[1];g(p===u.shape[2],function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."}),g(ea(n,i),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"});var h=na(a),f=Kr(l.shape,u.shape,n,i,r,o,!1,h),d=At.runKernelFunc(function(t,e){var n=t.conv2d(l,u,f);return e([u,l]),n},{x:l,$filter:u},function(t,e){var o=e,s=o[0],u=o[1];return g(ta(i),function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+i+"'"}),{x:function(){return Xu(u.shape,t,s,n,r,a)},$filter:function(){return Ku(u,t,s.shape,n,r,a)}}});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}}),Hu=rn({conv3d_:function(t,e,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=qe(t,"x","conv3d"),s=qe(e,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=o.as5D(1,o.shape[0],o.shape[1],o.shape[2],o.shape[3])),g(5===u.rank,function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."}),g(5===s.rank,function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."}),g(u.shape[4]===s.shape[3],function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."}),g(function(t,e){return Uu(n)||Uu(e)}(0,i),function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}),g("NDHWC"===a,function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."});var c=Xr(u.shape,s.shape,n,i,r),p=At.runKernelFunc(function(t,e){var n=t.conv3d(u,s,c);return e([u,s]),n},{x:u,$filter:s},function(t,e){g(Uu(i),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+i+"'"});var a=e[0],o=e[1];return{x:function(){return ju(a.shape,t,o,n,r)},$filter:function(){return function(t,e,n,r,a){var i=t;4===t.rank&&(i=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var o=e;4===o.rank&&(o=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3])),g(5===i.rank,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+i.shape+"."}),g(5===o.rank,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+o.shape+"."}),g(5===n.length,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."}),g(i.shape[4]===n[3],function(){return"Error in conv3dDerFilter: depth of input "+i.shape[4]+") must match input depth in filter ("+n[3]+"."}),g(o.shape[4]===n[4],function(){return"Error in conv3dDerFilter: depth of dy ("+o.shape[4]+") must match output depth for filter ("+n[4]+")."});var s=Xr(i.shape,n,r,1,a);return At.runKernelFunc(function(t){return t.conv3dDerFilter(i,o,s)},{x5D:i,dy5D:o})}(a,t,o.shape,n,r)}}});return l?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),Ku=rn({conv2dDerFilter_:function(t,e,n,r,a,i,o){void 0===i&&(i="NHWC");var s=t;3===t.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var u=e;3===u.rank&&(u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),g(4===s.rank,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."}),g(4===u.rank,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."}),g(4===n.length,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."});var l="NHWC"===i?s.shape[3]:s.shape[1],c="NHWC"===i?u.shape[3]:u.shape[1];g(l===n[2],function(){return"Error in conv2dDerFilter: depth of input "+l+") must match input depth in filter ("+n[2]+"."}),g(c===n[3],function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must match output depth for filter ("+n[3]+")."}),null!=o&&g(C(a),function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+a+"."});var p=na(i),h=Kr(s.shape,n,r,1,a,o,!1,p);return At.runKernelFunc(function(t){return t.conv2dDerFilter(s,u,h)},{x4D:s,dy4D:u})}}),Xu=rn({conv2dDerInput_:Vu}),$u=rn({depthwiseConv2d_:function(t,e,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=qe(t,"x","depthwiseConv2d"),u=qe(e,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),g(4===l.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."}),g(4===u.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}),g(l.shape[3]===u.shape[2],function(){return"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."}),null==i&&(i=[1,1]),g(ea(n,i),function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}),null!=o&&g(C(r),function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var p=Kr(l.shape,u.shape,n,i,r,o,!0),h=At.runKernelFunc(function(t,e){var n=t.depthwiseConv2D(l,u,p);return e([l,u]),n},{x:l,$filter:u},function(t,e){g(ta(i),function(){return"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+i+"'"});var n=e[0],r=e[1];return{x:function(){return Yu(n.shape,t,r,p)},$filter:function(){return Ju(n,t,r.shape,p)}}});return c?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}}),Yu=rn({depthwiseConv2dDerInput_:function(t,e,n,r){var a=e,i=!1;3===e.rank&&(i=!0,a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=At.runKernelFunc(function(t){return t.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return i?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}}),Ju=rn({depthwiseConv2dDerFilter_:function(t,e,n,r){var a=t;3===t.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=e;return 3===i.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),At.runKernelFunc(function(t){return t.depthwiseConv2DDerFilter(a,i,r)},{x4D:a,dy4D:i})}}),Zu=rn({separableConv2d_:function(t,e,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=qe(t,"x","separableConv2d"),u=qe(e,"depthwiseFilter","separableConv2d"),l=qe(n,"pointwiseFilter","separableConv2d"),c=s,p=!1;if(3===s.rank&&(p=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");g(4===c.rank,function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."}),g(4===u.rank,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."}),g(4===l.rank,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."}),g(1===l.shape[0],function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."}),g(1===l.shape[1],function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+l.shape[1]+"."});var h=u.shape[2],f=u.shape[3];g(l.shape[2]===h*f,function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*f+", but got "+l.shape[2]+"."});var d=$u(c,u,r,a,o,i),m=qu(d,l,1,"valid",o);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Qu=rn({conv2dTranspose_:function(t,e,n,r,a,i){return Vu(n,qe(t,"x","conv2dTranspose"),qe(e,"filter","conv2dTranspose"),r,a,"NHWC",i)}}),tl=rn({conv3dTranspose_:function(t,e,n,r,a){return ju(n,qe(t,"x","conv3dTranspose"),qe(e,"filter","conv3dTranspose"),r,a)}}),el=rn({matMul_:function(t,e,n,r){var a;void 0===n&&(n=!1),void 0===r&&(r=!1);var i=qe(t,"a","matMul"),o=qe(e,"b","matMul");a=wt(i,o),i=a[0],o=a[1];var s=n?i.shape[i.rank-2]:i.shape[i.rank-1],u=r?o.shape[o.rank-1]:o.shape[o.rank-2],l=n?i.shape[i.rank-1]:i.shape[i.rank-2],c=r?o.shape[o.rank-2]:o.shape[o.rank-1],p=i.shape.slice(0,-2),h=o.shape.slice(0,-2),f=x(p),d=x(h);g(i.rank>=2&&o.rank>=2&&i.rank===o.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+i.rank+" and "+o.rank+"."}),g(w(p,h),function(){return"Error in matMul: outer dimensions ("+p+") and ("+h+") of Tensors with shapes "+i.shape+" and "+o.shape+" must match."}),g(s===u,function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+i.shape+" and "+o.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var m=i.shape.slice(0,-2).concat([l,c]),v=n?i.as3D(f,s,l):i.as3D(f,l,s),y=r?o.as3D(d,c,u):o.as3D(d,u,c),b={transposeA:n,transposeB:r};return At.runKernelFunc(function(t,e){var a=t.batchMatMul(v,y,n,r);return e([v,y]),a},{a:v,b:y},function(t,e){var a=e,i=a[0],o=a[1];return n||r?!n&&r?{a:function(){return t.matMul(o,!1,!1)},b:function(){return t.matMul(i,!0,!1)}}:n&&!r?{a:function(){return o.matMul(t,!1,!0)},b:function(){return i.matMul(t,!1,!1)}}:{a:function(){return o.matMul(t,!0,!0)},b:function(){return t.matMul(i,!0,!0)}}:{a:function(){return t.matMul(o,!1,!0)},b:function(){return i.matMul(t,!0,!1)}}},"BatchMatMul",b).reshape(m)}}),nl=rn({dot_:function(t,e){var n=qe(t,"t1","dot"),r=qe(e,"t2","dot");g(!(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 a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return g(a===i,function(){return"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."}),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]))}}),rl=rn({outerProduct_:function(t,e){var n=qe(t,"v1","outerProduct"),r=qe(e,"v2","outerProduct");return g(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))}}),al=rn({reverse_:function(t,e){var n=qe(t,"x","reverse");if(0===n.rank)return n.clone();var r=A(e,n.shape);return At.runKernelFunc(function(t){return t.reverse(n,r)},{$x:n},function(t){return{$x:function(){return t.reverse(r)}}}).reshapeAs(n)}}),il=rn({reverse1d_:function(t){var e=qe(t,"x","reverse");return g(1===e.rank,function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."}),al(e,0)}}),ol=rn({reverse2d_:function(t,e){var n=qe(t,"x","reverse");return g(2===n.rank,function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."}),al(n,e)}}),sl=rn({reverse3d_:function(t,e){var n=qe(t,"x","reverse");return g(3===n.rank,function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."}),al(n,e)}}),ul=rn({reverse4d_:function(t,e){var n=qe(t,"x","reverse");return g(4===n.rank,function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."}),al(n,e)}});function ll(t,e,n,r,a,i){var o=qe(t,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),null==r&&(r=[1,1]),g(4===s.rank,function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."}),g(ea(n,r),function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}),null!=i&&g(C(a),function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+"."});var l=qr(s.shape,e,n,r,a,i),c=At.runKernelFunc(function(t,e){var n=t.maxPool(s,l);return e([s,n]),n},{x:s},function(t,i){var o=i[0],s=i[1];return{x:function(){return function(t,e,n,r,a,i,o,s){var u=qe(t,"dy","maxPoolBackprop"),l=qe(e,"input","maxPoolBackprop"),c=qe(n,"output","maxPoolBackprop");g(l.rank===u.rank,function(){return"Rank of input ("+l.rank+") does not match rank of dy ("+u.rank+")"}),null==i&&(i=[1,1]),g(ea(a,i),function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+i+"'"}),g(4===u.rank,function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."}),g(4===l.rank,function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+l.rank+"."});var p=qr(l.shape,r,a,i,o,s);return At.runKernelFunc(function(t){return t.maxPoolBackprop(u,l,c,p)},{$dy:u,$input:l})}(t,o,s,e,n,r,a)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function cl(t,e,n,r,a,i){var o=qe(t,"x","avgPool","float32");null==r&&(r=[1,1]),g(ea(n,r),function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"});var s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),g(4===s.rank,function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."}),null!=i&&g(C(a),function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+"."});var l=qr(s.shape,e,n,r,a,i),c=At.runKernelFunc(function(t){return t.avgPool(s,l)},{x:s},function(t){return{x:function(){return function(t,e,n,r,a,i){var o=qe(t,"dy","avgPoolBackprop"),s=qe(e,"input","avgPoolBackprop");g(s.rank===o.rank,function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+o.rank+")"}),null==a&&(a=[1,1]),g(ea(r,a),function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+a+"'"});var u=s,l=o,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),g(4===l.rank,function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+l.rank+"."}),g(4===u.rank,function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+"."});var p=qr(u.shape,n,r,a,i),h=At.runKernelFunc(function(t){return t.avgPoolBackprop(l,u,p)},{dy4D:l,input4D:u});return c?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}(t,s,e,n,r,a)}}});return c=c.cast(o.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}var pl=rn({maxPool_:function(t,e,n,r,a){return ll(t,e,n,1,r,a)}}),hl=rn({avgPool_:function(t,e,n,r,a){return cl(t,e,n,1,r,a)}}),fl=rn({pool_:function(t,e,n,r,a,i){null==a&&(a=[1,1]),null==i&&(i=1),0===r&&(r="valid");var o=qe(t,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),g(ea(i,a),function(){return"Error in pool: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'"});var l,c=qr(s.shape,e,i,a,r),p=[c.dilationHeight,c.dilationWidth];l="same"===r?function(t,e){var n=t.map(function(t,n){return t+(t-1)*(e[n]-1)}).map(function(t){return t-1}),r=n.map(function(t){return Math.floor(t/2)}),a=n.map(function(t,e){return t-r[e]});return n.map(function(t,e){return[r[e],a[e]]})}([c.filterHeight,c.filterWidth],p):[[0,0],[0,0]];var h=1===p[0]&&1===p[1],f=function(t,e,n){var r=n.map(function(t){return t[0]}),a=n.map(function(t){return t[1]}),i=t.concat(r,a),o=e.map(function(t,e){return(t-i[e]%t)%t}),s=a.map(function(t,e){return t+o[e]});return[e.map(function(t,e){return[r[e],s[e]]}),e.map(function(t,e){return[0,o[e]]})]}([c.inHeight,c.inWidth],p,l),d=f[0],m=f[1],v=h?r:"valid",y=h?s:cr(s,p,d),b=("avg"===n?function(){return cl(y,e,i,1,v)}:function(){return ll(y,e,i,1,v)})(),x=h?b:qn(b,p,m);return u?x.as3D(x.shape[1],x.shape[2],x.shape[3]):x}}),dl=rn({maxPool3d_:function(t,e,n,r,a,i,o){void 0===i&&(i="NDHWC");var s=qe(t,"x","maxPool3d"),u=s,l=!1;4===s.rank&&(l=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==o&&(o=[1,1,1]),g(5===u.rank,function(){return"Error in maxPool3d: x must be rank 5 but got rank "+u.rank+"."}),g("NDHWC"===i,function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+i}),g(ea(n,o),function(){return"Error in maxPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),null!=a&&g(C(r),function(){return"Error in maxPool3d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."});var c=Hr(u.shape,e,n,o,r,a,i),p=At.runKernelFunc(function(t,e){var n=t.maxPool3d(u,c);return e([u,n]),n},{x:u},function(t,i){var s=i[0],u=i[1];return{x:function(){return function(t,e,n,r,a,i,o,s){var u=qe(t,"dy","maxPool3dBackprop"),l=qe(e,"input","maxPool3dBackprop"),c=qe(n,"output","maxPool3dBackprop"),p=u,h=l,f=c,d=!1;4===l.rank&&(d=!0,p=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]),h=l.as5D(1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]),f=c.as5D(1,c.shape[0],c.shape[1],c.shape[2],c.shape[3])),g(5===p.rank,function(){return"Error in maxPool3dBackprop: dy must be rank 5 but got rank "+p.rank+"."}),g(5===h.rank,function(){return"Error in maxPool3dBackprop: input must be rank 5 but got rank "+h.rank+"."}),g(5===f.rank,function(){return"Error in maxPool3dBackprop: output must be rank 5 but got rank "+f.rank+"."}),null==i&&(i=[1,1,1]),g(ea(a,i),function(){return"Error in maxPool3dBackprop: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+i+"'"}),null!=s&&g(C(o),function(){return"Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode "+s+" but got pad "+o+"."});var m=Hr(h.shape,r,a,i,o,s),v=At.runKernelFunc(function(t){return t.maxPool3dBackprop(p,h,f,m)},{dy5D:p,input5D:h});return d?v.as4D(v.shape[1],v.shape[2],v.shape[3],v.shape[4]):v}(t,s,u,e,n,o,r,a)}}});return l?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),ml=rn({avgPool3d_:function(t,e,n,r,a,i,o){void 0===i&&(i="NDHWC");var s=qe(t,"x","avgPool3d","float32"),u=s,l=!1;4===s.rank&&(l=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==o&&(o=[1,1,1]),g(5===u.rank,function(){return"Error in avgPool3d: x must be rank 5 but got rank "+u.rank+"."}),g("NDHWC"===i,function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+i}),g(ea(n,o),function(){return"Error in avgPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),null!=a&&g(C(r),function(){return"Error in avgPool3d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."});var c=Hr(u.shape,e,n,o,r,a,i),p=At.runKernelFunc(function(t){return t.avgPool3d(u,c)},{x:u},function(t){return{x:function(){return function(t,e,n,r,a,i,o){var s=qe(t,"dy","avgPool3dBackprop"),u=qe(e,"input","avgPool3dBackprop"),l=s,c=u,p=!1;4===u.rank&&(p=!0,l=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]),c=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3])),g(5===l.rank,function(){return"Error in avgPool3dBackprop: dy must be rank 5 but got rank "+l.rank+"."}),g(5===c.rank,function(){return"Error in avgPool3dBackprop: input must be rank 5 but got rank "+c.rank+"."}),null==a&&(a=[1,1,1]),g(ea(r,a),function(){return"Error in avgPool3dBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+a+"'"}),null!=o&&g(C(i),function(){return"Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var h=Hr(c.shape,n,r,a,i,o),f=At.runKernelFunc(function(t){return t.avgPool3dBackprop(l,c,h)},{dy5D:l,input5D:c});return p?f.as4D(f.shape[1],f.shape[2],f.shape[3],f.shape[4]):f}(t,u,e,n,o,r,a)}}});return p=p.cast(u.dtype),l?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),gl=rn({slice_:function(t,e,n){var r,a,i=qe(t,"x","slice");if(0===i.rank)throw new Error("Slicing scalar is not possible");(r="number"==typeof e?[e].concat(new Array(i.rank-1).fill(0)):e.length<i.rank?e.concat(new Array(i.rank-e.length).fill(0)):e.slice()).forEach(function(t){g(-1!==t,function(){return"slice() does not support negative begin indexing."})}),a=(a=null==n?new Array(i.rank).fill(-1):"number"==typeof n?[n].concat(new Array(i.rank-1).fill(-1)):n.length<i.rank?n.concat(new Array(i.rank-n.length).fill(-1)):n).map(function(t,e){return t>=0?t:(g(-1===t,function(){return"Negative size values should be exactly -1 but got "+t+" for the slice() size at index "+e+"."}),i.shape[e]-r[e])}),kr(i,r,a);var o=i.shape,s={begin:r,size:a};return At.runKernelFunc(function(t){return t.slice(i,r,a)},{x:i},function(t){for(var e=[],n=0;n<t.rank;n++)e.push([r[n],o[n]-r[n]-a[n]]);return{x:function(){return t.pad(e)}}},"Slice",s)}}),vl=rn({slice1d_:function(t,e,n){var r=qe(t,"x","slice1d");return g(1===r.rank,function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"}),gl(r,[e],[n])}}),yl=rn({slice2d_:function(t,e,n){var r=qe(t,"x","slice2d");return g(2===r.rank,function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"}),gl(r,e,n)}}),bl=rn({slice3d_:function(t,e,n){var r=qe(t,"x","slice3d");return g(3===r.rank,function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"}),gl(r,e,n)}}),xl=rn({slice4d_:function(t,e,n){var r=qe(t,"x","slice4d");return g(4===r.rank,function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"}),gl(r,e,n)}});function wl(t,e,n,r,a){return e.rank<n.rank&&(e=e.reshape(Ye(e.shape,r))),t.rank<n.rank&&(t=t.reshape(Ye(t.shape,r))),{$x:function(){var r=t.mul(n.equal(e).cast(t.dtype));return null==a?r:r.transpose(a)}}}var Cl=rn({all_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","all","bool"),a=A(e,r.shape),i=a,o=Ze(i,r.rank);null!=o&&(r=r.transpose(o),i=tn(i.length,r.rank));var s=At.runKernelFunc(function(t){return t.all(r,i)},{$x:r});if(n){var u=Ye(s.shape,a);return s.reshape(u)}return s}}),Nl=rn({any_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","any","bool"),a=A(e,r.shape),i=a,o=Ze(i,r.rank);null!=o&&(r=r.transpose(o),i=tn(i.length,r.rank));var s=At.runKernelFunc(function(t){return t.any(r,i)},{$x:r});if(n){var u=Ye(s.shape,a);return s.reshape(u)}return s}}),Sl=rn({argMax_:function(t,e){void 0===e&&(e=0);var n=qe(t,"x","argMax");null==e&&(e=0);var r=A(e,n.shape),a=Ze(r,n.rank);return null!=a&&(n=n.transpose(a),r=tn(r.length,n.rank)),At.runKernelFunc(function(t,e){var a=t.argMax(n,r[0]);return e([n]),a},{$x:n},function(t,e){var n=e[0];return{$x:function(){return Sn(n)}}})}}),Il=rn({argMin_:function(t,e){void 0===e&&(e=0);var n=qe(t,"x","argMin");null==e&&(e=0);var r=A(e,n.shape),a=Ze(r,n.rank);return null!=a&&(n=n.transpose(a),r=tn(r.length,n.rank)),At.runKernelFunc(function(t,e){var a=t.argMin(n,r[0]);return e([n]),a},{$x:n},function(t,e){var n=e[0];return{$x:function(){return Sn(n)}}})}}),kl=rn({logSumExp_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","logSumExp"),a=A(e,r.shape),i=r.max(a,!0),o=r.sub(i).exp().sum(a).log(),s=i.reshape(o.shape).add(o);if(n){var u=Ye(s.shape,a);return s.reshape(u)}return s}}),El=rn({max_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","max"),a=r,i=A(e,r.shape),o=i,s=Ze(o,r.rank);null!=s&&(r=r.transpose(s),o=tn(o.length,r.rank));var u=At.runKernelFunc(function(t,e){var n=t.max(r,o);return e([a,n]),n},{$x:r},function(t,e){return wl(t,e[1],e[0],i,s)});if(n){var l=Ye(u.shape,i);u=u.reshape(l)}return u}}),Al=rn({mean_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","mean"),a=A(e,r.shape),i=x($e(r.shape,a)[1]);return Mr(function(t){var r=cn(i);return{value:(r.dtype===t.dtype?t:t.cast(r.dtype)).div(r).sum(e,n),gradFunc:function(e){var n=t.shape.slice();return a.forEach(function(t){n[t]=1}),e.reshape(n).mul(yn(t.shape,"float32")).div(i)}}})(r)}}),Rl=rn({min_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","min"),a=r,i=A(e,r.shape),o=i,s=Ze(o,r.rank);null!=s&&(r=r.transpose(s),o=tn(o.length,r.rank));var u=At.runKernelFunc(function(t,e){var n=t.min(r,o);return e([a,n]),n},{$x:r},function(t,e){return wl(t,e[1],e[0],i,s)});if(n){var l=Ye(u.shape,i);u=u.reshape(l)}return u}}),Tl=rn({moments_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=A(e,(t=qe(t,"x","moments")).shape),a=t.mean(r,n),i=a.shape;return n||(i=Ye(a.shape,r)),{mean:a,variance:t.toFloat().sub(a.reshape(i)).square().mean(r,n)}}}),Dl=rn({sum_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","sum");"bool"===r.dtype&&(r=r.toInt());var a=A(e,r.shape);return Mr(function(t){var e=Ze(a,t.rank),r=a,i=t;null!=e&&(i=t.transpose(e),r=tn(r.length,t.rank));var o=At.runKernelFunc(function(t){return t.sum(i,r)},{permutedX:i});if(n){var s=Ye(o.shape,a);o=o.reshape(s)}return{value:o,gradFunc:function(e){var n=t.shape.slice();return a.forEach(function(t){n[t]=1}),e.reshape(n).mul(yn(t.shape,"float32"))}}})(r)}}),Ol=rn({prod_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=qe(t,"x","prod");"bool"===r.dtype&&(r=r.toInt());var a=A(e,r.shape),i=Ze(a,r.rank),o=a,s=r;null!=i&&(s=r.transpose(i),o=tn(o.length,r.rank));var u=At.runKernelFunc(function(t){return t.prod(s,o)},{permutedX:s});if(n){var l=Ye(u.shape,a);u=u.reshape(l)}return u}}),_l=rn({elu_:function(t){var e=qe(t,"x","elu");return At.runKernelFunc(function(t,n){var r=t.elu(e);return n([r]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return At.runKernelFunc(function(e){return e.eluDer(t,n)},{dy:t,y:n})}}})}}),Fl=rn({leakyRelu_:function(t,e){void 0===e&&(e=.2);var n=qe(t,"x","leakyRelu");return cu(cn(e).mul(n),n)}}),Ml=rn({prelu_:function(t,e){var n=qe(t,"x","prelu"),r=qe(e,"alpha","prelu");return At.runKernelFunc(function(t,e){var a=t.prelu(n,r);return e([n,r]),a},{x:n,alpha:r},function(t,e){var n=e[0],r=e[1],a=n.greater(0);return{x:function(){return eu(a,t,t.mul(r))},alpha:function(){var e=eu(a,Sn(t),t.mul(n)),i=jr(r.shape,t.shape);return i.length>0&&(e=e.sum(i)),e.reshape(r.shape)}}},"Prelu")}}),zl=rn({relu_:function(t){var e=qe(t,"x","relu");return"bool"===e.dtype?e.toInt():At.runKernelFunc(function(t,n){var r=t.relu(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mulStrict(n.step().toFloat())}}})}}),Ll=rn({relu6_:function(t){var e=qe(t,"x","relu6");return"bool"===e.dtype?e.toInt():At.runKernelFunc(function(t,n){var r=t.relu6(e);return n([e]),r},{$x:e},function(t,e){var n=e[0],r=n.lessEqual(6).mul(n.step());return{$x:function(){return t.mulStrict(r.toFloat())}}})}}),Bl=rn({selu_:function(t){var e=qe(t,"x","selu");return At.runKernelFunc(function(t,n){var r=t.selu(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){var e=n.greater(cn(0)),r=cn(Do),a=cn(Oo),i=t.mul(a),o=t.mul(r).mul(n.toFloat().exp());return eu(e,i,o)}}})}}),Pl=rn({transpose_:function(t,e){var n=qe(t,"x","transpose");return null==e&&(e=n.shape.map(function(t,e){return e}).reverse()),g(n.rank===e.length,function(){return"Error in transpose: rank of input "+n.rank+" must match length of perm "+e+"."}),e.forEach(function(t){g(t>=0&&t<n.rank,function(){return"All entries in 'perm' must be between 0 and "+(n.rank-1)+" but got "+e})}),n.rank<=1?n.clone():At.runKernelFunc(function(t){return t.transpose(n,e)},{$x:n},function(t){var n=Qe(e);return{$x:function(){return t.transpose(n)}}})}}),Wl=rn({localResponseNormalization_:function(t,e,n,r,a){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5);var i=qe(t,"x","localResponseNormalization");g(4===i.rank||3===i.rank,function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+i.rank+"."}),g(C(e),function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."});var o=i,s=!1;3===i.rank&&(s=!0,o=i.as4D(1,i.shape[0],i.shape[1],i.shape[2]));var u=At.runKernelFunc(function(t,i){var s=t.localResponseNormalization4D(o,e,n,r,a);return i([o,s]),s},{x4D:o},function(t,i){var o=i[0],s=i[1];return{x4D:function(){return At.runKernelFunc(function(i){return i.LRNGrad(t,o,s,e,n,r,a)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Vl=rn({norm_:function(t,e,n,r){void 0===e&&(e="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=function t(e,n,r){if(void 0===r&&(r=null),0===e.rank)return e.abs();if(1!==e.rank&&null===r)return t(e.reshape([-1]),n,r);if(1===e.rank||"number"==typeof r||Array.isArray(r)&&1===r.length){if(1===n)return e.abs().sum(r);if(n===1/0)return e.abs().max(r);if(n===-1/0)return e.abs().min(r);if("euclidean"===n||2===n)return e.abs().pow(cn(2,"int32")).sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}if(Array.isArray(r)&&2===r.length){if(1===n)return e.abs().sum(r[0]).max(r[1]-1);if(n===1/0)return e.abs().sum(r[1]).max(r[0]);if(n===-1/0)return e.abs().sum(r[1]).min(r[0]);if("fro"===n||"euclidean"===n)return e.square().sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}throw new Error("Error in norm: invalid axis: "+r)}(t=qe(t,"x","norm"),e,n),i=a.shape;if(r){var o=A(n,t.shape);i=Ye(a.shape,o)}return a.reshape(i)}}),Ul=rn({basicLSTMCell_:function(t,e,n,r,a,i){var o=qe(t,"forgetBias","basicLSTMCell"),s=qe(e,"lstmKernel","basicLSTMCell"),u=qe(n,"lstmBias","basicLSTMCell"),l=qe(r,"data","basicLSTMCell"),c=qe(a,"c","basicLSTMCell"),p=qe(i,"h","basicLSTMCell"),h=l.concat(p,1).matMul(s).add(u),f=h.shape[0],d=h.shape[1]/4,m=[f,d],g=h.slice([0,0],m),v=h.slice([0,d],m),y=h.slice([0,2*d],m),b=h.slice([0,3*d],m),x=g.sigmoid().mulStrict(v.tanh()).addStrict(c.mulStrict(o.add(y).sigmoid()));return[x,x.tanh().mulStrict(b.sigmoid())]}}),jl=rn({multiRNNCell_:function(t,e,n,r){for(var a=qe(e,"data","multiRNNCell"),i=He(n,"c","multiRNNCell"),o=He(r,"h","multiRNNCell"),s=a,u=[],l=0;l<t.length;l++){var c=t[l](s,i[l],o[l]);u.push(c[0]),u.push(c[1]),s=c[1]}var p=[],h=[];for(l=0;l<u.length;l+=2)p.push(u[l]),h.push(u[l+1]);return[p,h]}}),Gl=rn({movingAverage_:function(t,e,n,r,a){void 0===a&&(a=!0);var i=qe(t,"v","movingAverage"),o=qe(e,"x","movingAverage"),s=qe(n,"decay","movingAverage");Ct(i,o),g(w(i.shape,o.shape),function(){return"Shape mismatch in v and x"});var u=cn(1),l=u.sub(s),c=o.sub(i).mul(l);if(a){g(null!=r,function(){return"When using zeroDebias: true, step is required."});var p=qe(r,"step","movingAverage");c=c.div(u.sub(yu(s,p)))}return i.add(c)}}),ql=rn({stridedSlice_:function(t,e,n,r,a,i,o,s,u){if(void 0===a&&(a=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===s&&(s=0),void 0===u&&(u=0),null==r&&(r=new Array(e.length)),0!==o)throw new Error("ellipsis mask is not yet supported");var l=qe(t,"x","stridedSlice"),c=Er(s),p=l.shape.slice();c.forEach(function(t){e[t]=0,n[t]=1,p.splice(t,0,1)}),l=l.reshape(p);for(var h=0;h<l.rank;h++)e[h]=Rr(a,e,r,l.shape,h),n[h]=Tr(i,n,r,l.shape,h),r[h]=r[h]||1;var f=Er(u);f.forEach(function(t){n[t]=e[t]+1,r[t]=1});var d=Ar(e,n,r),m=d.filter(function(t,e){return-1===f.indexOf(e)});return r.every(function(t){return 1===t})?gl(l,e,d).reshape(m):At.runKernelFunc(function(t){return t.stridedSlice(l,e,n,r)},{$x:l}).reshape(m)}}),Hl=rn({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=qe(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(e>a)throw new Error("'k' passed to topk() must be <= the last dimension ("+a+") but got "+e);var i=At.runKernelFunc(function(t){return t.topk(r,e,n)},{$x:r});return{values:i[0],indices:i[1]}}}),Kl=rn({scatterND_:function(t,e,n){var r=qe(t,"indices","scatterND","int32"),a=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 "+t.rank+".");if("int32"!==e.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: "+e.dtype);if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: "+n);if(0===n.length){if(0===e.size)throw new Error("Indices specified for empty output. indices shape: "+e.shape);if(0===t.size)throw new Error("Updates specified for empty output. updates shape: "+t.shape)}!function(t,e,n){var r=e.rank>1?e.shape[e.rank-1]:1,a=e.rank>1?e.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: "+n.shape+", indices.shape: "+e.shape+", shape: "+t+", sliceDim: "+r+", and batchDim: "+a+".";if(n.rank<a)throw new Error(i+" update.rank < "+a+". ");if(t.length<r+(n.rank-a))throw new Error(i+" Output shape length < "+(r+(n.rank-a)));if(n.rank!==a+t.length-r)throw new Error(i+" update.rank != "+(a+t.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==e.shape[o])throw new Error(i+" updates.shape["+o+"] ("+n.shape[o]+") != indices.shape["+o+"] ("+e.shape[o]+").");for(o=0;o<n.rank-a;++o)if(n.shape[o+a]!==t[o+r])throw new Error(i+" updates.shape["+(o+a)+"] ("+n.shape[o+a]+") != shape["+(o+a)+"] ("+t[o+a]+")")}(n,e,t)}(a,r,n),At.runKernelFunc(function(t){return t.scatterND(r,a,n)},{$indices:r,$updates:a})}}),Xl=rn({fft_:function(t){g("complex64"===t.dtype,function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+t.dtype+"."});var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return At.runKernelFunc(function(t){return t.fft(r)},{input:t}).reshape(t.shape)}}),$l=rn({ifft_:function(t){g("complex64"===t.dtype,function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+t.dtype+"."});var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return At.runKernelFunc(function(t){return t.ifft(r)},{input:t}).reshape(t.shape)}}),Yl=rn({rfft_:function(t,e){g("float32"===t.dtype,function(){return"The dtype for rfft() must be real value but got "+t.dtype});var n,r=t.shape[t.shape.length-1],a=t.size/r;if(null!=e&&e<r){var i=t.shape.map(function(t){return 0}),o=t.shape.map(function(t){return t});o[t.shape.length-1]=e,n=t.slice(i,o),r=e}else if(null!=e&&e>r){var s=t.shape.map(function(t){return t});s[t.shape.length-1]=e-r,n=t.concat(bn(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),l=an(n,u).as2D(a,r),c=Xl(l),p=Math.floor(r/2)+1,h=on(c),f=sn(c),d=h.split([p,r-p],h.shape.length-1),m=f.split([p,r-p],f.shape.length-1),v=n.shape.slice();return v[n.shape.length-1]=p,an(d[0],m[0]).reshape(v)}}),Jl=rn({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),a=$l(r);return on(a)}var i=[n,2*(e-1)],o=on(t).as2D(n,e),s=sn(t).as2D(n,e),u=o.slice([0,1],[n,e-2]).reverse(1),l=s.slice([0,1],[n,e-2]).reverse(1).mul(cn(-1)),c=o.concat(u,1),p=s.concat(l,1);return r=an(c,p).as2D(i[0],i[1]),a=$l(r),on(a)}}),Zl=Object.freeze({fft:Xl,ifft:$l,rfft:Yl,irfft:Jl}),Ql=rn({sparseToDense_:function(t,e,n,r){void 0===r&&(r=0);var a=qe(t,"sparseIndices","sparseToDense","int32"),i=qe(e,"sparseValues","sparseToDense"),o=qe(r,"defaultValue","sparseToDense",i.dtype);return function(t,e,n,r){if("int32"!==t.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+t.shape+".");var a=t.rank>0?t.shape[0]:1,i=t.rank>1?t.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+i+".");var o=e.size;if(0!==e.rank&&(1!==e.rank||o!==a))throw new Error("sparseValues has incorrect shape "+e.shape+", should be [] or ["+a+"]");if(e.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,i,n,o),At.runKernelFunc(function(t){return t.sparseToDense(a,i,n,o)},{$sparseIndices:a,$sparseValues:i,$defaultValue:o})}}),tc=rn({gatherND_:function(t,e){var n=qe(e,"indices","gatherND","int32"),r=qe(t,"x","gatherND");return At.runKernelFunc(function(t){return t.gatherND(r,n)},{$x:r,$indices:n})}}),ec=rn({diag_:function(t){var e=qe(t,"x","diag").flatten(),n=t.shape.concat(t.shape);return At.runKernelFunc(function(t){return t.diag(e)},{$x:e}).reshape(n)}}),nc=rn({dropout_:function(t,e,n,r){var a=qe(t,"x","dropout");if(g("float32"===a.dtype,function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+a.dtype+" tensor instead."}),g(e>=0&&e<1,function(){return"rate must be a float in the range [0, 1), but got "+e+"."}),0===e)return t instanceof ht?a.clone():a;var i=function(t,e){if(null==e)return t.shape.slice();if(w(t.shape,e))return e;if(t.shape.length===e.length){for(var n=[],r=0;r<t.shape.length;r++)null==e[r]&&null!=t.shape[r]?n.push(t.shape[r]):n.push(e[r]);return n}return e}(a,n),o=1-e,s=ur(i,0,1,"float32",r).add(o).floor().div(o);return a.mul(s)}});function rc(t,e,n){for(var r=1-t%2,a=new Float32Array(t),i=0;i<t;++i){var o=2*Math.PI*i/(t+r-1);a[i]=e-n*Math.cos(o)}return pn(a,"float32")}var ac=rn({hannWindow_:function(t){return rc(t,.5,.5)}}),ic=rn({hammingWindow_:function(t){return rc(t,.54,.46)}}),oc=rn({frame_:function(t,e,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=0);for(var i=0,o=[];i+e<=t.size;)o.push(gl(t,i,e)),i+=n;if(r)for(;i<t.size;){var s=i+e-t.size,u=In([gl(t,i,e-s),xn([s],a)]);o.push(u),i+=n}return 0===o.length?hn([],[0,e]):In(o).as2D(o.length,e)}}),sc=rn({stft_:function(t,e,n,r,a){var i;void 0===a&&(a=ac),null==r&&(i=e,r=Math.floor(Math.pow(2,Math.ceil(Math.log(i)/Math.log(2)))));for(var o=oc(t,e,n),s=gu(o,a(e)),u=[],l=0;l<o.shape[0];l++)u.push(Yl(s.slice([l,0],[1,e]),r));return In(u)}}),uc=Object.freeze({hannWindow:ac,hammingWindow:ic,frame:oc,stft:sc}),lc=function(t,e,n){return void 0===n&&(n=1),r(this,void 0,void 0,function(){var r,i,o,s,u,l,c,p,h,f,d,m,y,b;return a(this,function(a){switch(a.label){case 0:return r=qe(t,"predictions","inTopK"),i=qe(e,"targets","inTopK"),g(r.rank>1,function(){return"inTopK() expects the predictions to be of rank 2 or higher, but got "+r.rank}),g(r.rank-1===i.rank,function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+r.rank+" and targets rank "+i.rank}),v(r.shape.slice(0,r.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),o=r.shape[r.shape.length-1],g(n>0&&n<=o,function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last dimension ("+o+"), but got "+n}),[4,r.data()];case 1:return s=a.sent(),[4,i.data()];case 2:for(u=a.sent(),l=[s.length/o,o],p=l[1],h=T("bool",c=l[0]),f=0;f<c;f++){for(d=f*p,m=s.subarray(d,d+p),y=[],b=0;b<m.length;b++)y.push({value:m[b],index:b});for(y.sort(function(t,e){return e.value-t.value}),h[f]=0,b=0;b<n;b++)if(y[b].index===u[f]){h[f]=1;break}}return t!==r&&r.dispose(),e!==i&&i.dispose(),[2,un(h,i.shape,"bool")]}})})};!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"}(t.Reduction||(t.Reduction={}));var cc=rn({absoluteDifference_:function(e,n,r,a){void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=qe(e,"labels","absoluteDifference"),o=qe(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=qe(r,"weights","absoluteDifference")),v(i.shape,o.shape,"Error in absoluteDifference: ");var u=i.sub(o).abs();return pc(u,s,a)}}),pc=rn({computeWeightedLoss_:function(e,n,r){void 0===r&&(r=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=qe(e,"losses","computeWeightedLoss"),i=null;null!=n&&(i=qe(n,"weights","computeWeightedLoss"));var o=null==i?a:a.mul(i);if(r===t.Reduction.NONE)return o;if(r===t.Reduction.SUM)return o.sum();if(r===t.Reduction.MEAN){if(null==i)return o.mean();var s=a.size/i.size,u=o.sum().div(i.sum());return s>1?u.div(cn(s)):u}if(r===t.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return o.sum().div(cn(a.size));var l=i.mul(yn(a.shape)).notEqual(cn(0)).sum().toFloat();return o.sum().div(l)}throw Error("Unknown reduction: "+r)}}),hc=rn({cosineDistance_:function(e,n,r,a,i){void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=qe(e,"labels","cosineDistance"),s=qe(n,"predictions","cosineDistance"),u=null;null!=a&&(u=qe(a,"weights","cosineDistance")),v(o.shape,s.shape,"Error in cosineDistance: ");var l=cn(1).sub(o.mul(s).sum(r,!0));return pc(l,u,i)}}),fc=rn({hingeLoss_:function(e,n,r,a){void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=qe(e,"labels","hingeLoss"),o=qe(n,"predictions","hingeLoss"),s=null;null!=r&&(s=qe(r,"weights","hingeLoss")),v(i.shape,o.shape,"Error in hingeLoss: ");var u=cn(1);i=cn(2).mul(i).sub(u);var l=u.sub(i.mul(o)).relu();return pc(l,s,a)}}),dc=rn({huberLoss_:function(e,n,r,a,i){void 0===a&&(a=1),void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=qe(e,"labels","huberLoss"),s=qe(n,"predictions","huberLoss"),u=null;null!=r&&(u=qe(r,"weights","huberLoss")),v(o.shape,s.shape,"Error in huberLoss: ");var l=cn(a),c=s.sub(o).abs(),p=hu(c,l),h=c.sub(p),f=cn(.5).mul(p.square()).add(l.mul(h));return pc(f,u,i)}}),mc=rn({logLoss_:function(e,n,r,a,i){void 0===a&&(a=1e-7),void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=qe(e,"labels","logLoss"),s=qe(n,"predictions","logLoss"),u=null;null!=r&&(u=qe(r,"weights","logLoss")),v(o.shape,s.shape,"Error in logLoss: ");var l=cn(1),c=cn(a),p=o.mul(s.add(c).log()).neg().sub(l.sub(o).mul(l.sub(s).add(c).log()));return pc(p,u,i)}}),gc=rn({meanSquaredError_:function(e,n,r,a){void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=qe(e,"labels","meanSquaredError"),o=qe(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=qe(r,"weights","meanSquaredError")),v(i.shape,o.shape,"Error in meanSquaredError: ");var u=i.squaredDifference(o);return pc(u,s,a)}}),vc=rn({sigmoidCrossEntropy_:function(e,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=qe(e,"multiClassLabels","sigmoidCrossEntropy"),s=qe(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=qe(r,"weights","sigmoidCrossEntropy")),v(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var l=cn(a),c=cn(1),p=cn(.5);o=o.mul(c.sub(l)).add(p.mul(l))}var h=function(t,e){var n=qe(t,"labels","sigmoidCrossEntropyWithLogits"),r=qe(e,"logits","sigmoidCrossEntropyWithLogits");v(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=r.relu(),i=r.mul(n),o=r.abs().neg().exp().log1p();return a.sub(i).add(o)}(o,s);return pc(h,u,i)}}),yc=rn({softmaxCrossEntropy_:function(e,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=qe(e,"onehotLabels","softmaxCrossEntropy"),s=qe(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=qe(r,"weights","softmaxCrossEntropy")),v(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var l=cn(a),c=cn(1),p=cn(o.shape[1]);o=o.mul(c.sub(l)).add(l.div(p))}var h=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. Labels / logits was rank "+e.rank+" and dim was "+n);return Mr(function(t,e,r){var a=e.logSumExp([n],!0),i=e.toFloat().sub(a);return r([t,i]),{value:i.mul(t).neg().sum([n]),gradFunc:function(t,e){var r=e[0],a=e[1],i=Ye(t.shape,[n]);return[t.reshape(i).mul(r.toFloat().sub(a.exp())),t.reshape(i).mul(a.exp().sub(r.toFloat()))]}}})(t,e)}(o,s);return pc(h,u,i)}}),bc=Object.freeze({get Reduction(){return t.Reduction},absoluteDifference:cc,computeWeightedLoss:pc,cosineDistance:hc,hingeLoss:fc,huberLoss:dc,logLoss:mc,meanSquaredError:gc,sigmoidCrossEntropy:vc,softmaxCrossEntropy:yc});function xc(t,e){return void 0===e&&(e=!1),At.tidy(function(){if(2!==t.shape.length)throw new Error("qr2d() requires a 2D Tensor, but got a "+t.shape.length+"D Tensor.");for(var n=t.shape[0],r=t.shape[1],a=Jn(n),i=t.clone(),o=hn([[1]],[1,1]),s=o.clone(),u=n>=r?r:n,l=function(t){var e,u=i,l=s,c=a;e=At.tidy(function(){var e=i.slice([t,t],[n-t,1]),u=e.norm(),l=i.slice([t,t],[1,1]),c=hn([[-1]]).where(l.greater(0),hn([[1]])),p=l.sub(c.mul(u)),h=e.div(p);s=1===h.shape[0]?o.clone():o.concat(h.slice([1,0],[h.shape[0]-1,h.shape[1]]),0);var f=c.matMul(p).div(u).neg(),d=i.slice([t,0],[n-t,r]),m=f.mul(s);if(0===t)i=d.sub(m.matMul(s.transpose().matMul(d)));else{var g=d.sub(m.matMul(s.transpose().matMul(d)));i=i.slice([0,0],[t,r]).concat(g,0)}var v=a.slice([0,t],[n,a.shape[1]-t]);if(0===t)a=v.sub(v.matMul(s).matMul(m.transpose()));else{var y=v.sub(v.matMul(s).matMul(m.transpose()));a=a.slice([0,0],[n,t]).concat(y,1)}return[s,i,a]}),s=e[0],i=e[1],a=e[2],Pe([u,l,c])},c=0;c<u;++c)l(c);return!e&&n>r&&(a=a.slice([0,0],[n,r]),i=i.slice([0,0],[r,r])),[a,i]})}var wc=rn({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,g(null!=t&&t.length>0,function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"});for(var n=t[0].shape[0],r=function(e){g(t[e].shape[0]===n,function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"})},a=1;a<t.length;++a)r(a)}else e=!0,t=Tn(t,t.shape[0],0).map(function(t){return pr(t,[0])});g(t.length<=t[0].shape[0],function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."});var i=[],o=t,s=function(t){i.push(At.tidy(function(){var e=o[t];if(t>0)for(var n=0;n<t;++n){var r=Dl(i[n].mulStrict(e)).mul(i[n]);e=e.sub(r)}return e.div(Vl(e,"euclidean"))}))};for(a=0;a<t.length;++a)s(a);return e?hr(i,0):i}}),Cc=rn({qr_:function(t,e){if(void 0===e&&(e=!1),t.rank<2)throw new Error("qr() requires input tensor to have a rank >= 2, but got rank "+t.rank);if(2===t.rank)return xc(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce(function(t,e){return t*e}),r=[],a=[];return mr(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0).forEach(function(t){var n=xc(t,e),i=n[0],o=n[1];r.push(i),a.push(o)}),[hr(r,0).reshape(t.shape),hr(a,0).reshape(t.shape)]}}),Nc=Object.freeze({gramSchmidt:wc,qr:Cc});function Sc(t,e,n,r,a){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY);var i=t.shape[0];return n=Math.min(n,i),g(0<=r&&r<=1,function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"}),g(2===t.rank,function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"}),g(4===t.shape[1],function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]}),g(1===e.rank,function(){return"scores must be a 1D tensor"}),g(e.shape[0]===i,function(){return"scores has incompatible shape with boxes. Expected "+i+", but was "+e.shape[0]}),{maxOutputSize:n,iouThreshold:r,scoreThreshold:a}}var Ic=rn({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=qe(t,"images","resizeBilinear");g(3===r.rank||4===r.rank,function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."}),g(2===e.length,function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."});var a=r,i=!1;3===r.rank&&(i=!0,a=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=At.runKernelFunc(function(t,e){return e([a]),t.resizeBilinear(a,o,s,n)},{batchImages:a},function(t,e){return{batchImages:function(){return At.runKernelFunc(function(r){return r.resizeBilinearBackprop(t,e[0],n)},{})}}});return i?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),kc=rn({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=qe(t,"images","resizeNearestNeighbor");g(3===r.rank||4===r.rank,function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."}),g(2===e.length,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."}),g("float32"===r.dtype||"int32"===r.dtype,function(){return"`images` must have `int32` or `float32` as dtype"});var a=r,i=!1;3===r.rank&&(i=!0,a=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=e[0],s=e[1],u=At.runKernelFunc(function(t,e){return e([a]),t.resizeNearestNeighbor(a,o,s,n)},{batchImages:a},function(t,e){return{batchImages:function(){return At.runKernelFunc(function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)},{})}}});return i?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Ec=rn({nonMaxSuppression_:function(t,e,n,r,a){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY);var i=qe(t,"boxes","nonMaxSuppression"),o=qe(e,"scores","nonMaxSuppression"),s=Sc(i,o,n,r,a);return n=s.maxOutputSize,r=s.iouThreshold,a=s.scoreThreshold,At.runKernelFunc(function(t){return t.nonMaxSuppression(i,o,n,r,a)},{$boxes:i})}}),Ac=rn({cropAndResize_:function(t,e,n,r,a,i){var o=qe(t,"image","cropAndResize","float32"),s=qe(e,"boxes","cropAndResize","float32"),u=qe(n,"boxInd","cropAndResize","int32");a=a||"bilinear",i=i||0;var l=s.shape[0];return g(4===o.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."}),g(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."}),g(1===u.rank&&u.shape[0]===l,function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."}),g(2===r.length,function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."}),g(r[0]>=1&&r[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+r}),g("bilinear"===a||"nearest"===a,function(){return"method must be bilinear or nearest, but was "+a}),At.runKernelFunc(function(t,e){return t.cropAndResize(o,s,u,r,a,i)},{$image:o,$boxes:s})}}),Rc=Object.freeze({resizeBilinear:Ic,resizeNearestNeighbor:kc,nonMaxSuppression:Ec,nonMaxSuppressionAsync:function(t,e,n,i,o){return void 0===i&&(i=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),r(this,void 0,void 0,function(){var r,s,u,l,c,p,h;return a(this,function(a){switch(a.label){case 0:return r=qe(t,"boxes","nonMaxSuppressionAsync"),s=qe(e,"scores","nonMaxSuppressionAsync"),u=Sc(r,s,n,i,o),n=u.maxOutputSize,i=u.iouThreshold,o=u.scoreThreshold,[4,Promise.all([r.data(),s.data()])];case 1:return l=a.sent(),c=l[0],p=l[1],h=pa(c,p,n,i,o),r!==t&&r.dispose(),s!==e&&s.dispose(),[2,h]}})})},cropAndResize:Ac}),Tc=function(t,e){return!(t>0||"linear"!==e&&"relu"!==e)},Dc=function(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return t.mul(e.step());throw new Error("Gradient for activation "+n+" has not been implemented yet.")},Oc=function(t,e){var n=e,r=jr(t.shape,e.shape);return r.length>0&&(n=n.sum(r)),n.reshape(t.shape)},_c=function(t,e,n){if("linear"===e)return t;if("relu"===e)return zl(t);if("elu"===e)return _l(t);if("relu6"===e)return Ll(t);if("prelu"===e)return Ml(t,n);throw new Error("Unknown fused activation "+e+".")},Fc=rn({matMul_:function(t){var e,n=t.a,r=t.b,a=t.transposeA,i=void 0!==a&&a,o=t.transposeB,s=void 0!==o&&o,u=t.bias,l=t.activation,c=void 0===l?"linear":l,p=t.preluActivationWeights;if(!1===Tc(At.state.gradientDepth,c)){var h=el(n,r,i,s);return null!=u&&(h=ru(h,u)),_c(h,c,p)}var f=qe(n,"a","fused matMul"),d=qe(r,"b","fused matMul");e=wt(f,d),f=e[0],d=e[1];var m=i?f.shape[f.rank-2]:f.shape[f.rank-1],v=s?d.shape[d.rank-1]:d.shape[d.rank-2],y=i?f.shape[f.rank-1]:f.shape[f.rank-2],b=s?d.shape[d.rank-2]:d.shape[d.rank-1],C=f.shape.slice(0,-2),N=d.shape.slice(0,-2),S=x(C),I=x(N);g(f.rank>=2&&d.rank>=2&&f.rank===d.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+f.rank+" and "+d.rank+"."}),g(w(C,N),function(){return"Error in fused matMul: outer dimensions ("+C+") and ("+N+") of Tensors with shapes "+f.shape+" and "+d.shape+" must match."}),g(m===v,function(){return"Error in fused matMul: inner shapes ("+m+") and ("+v+") of Tensors with shapes "+f.shape+" and "+d.shape+" and transposeA="+i+" and transposeB="+s+" must match."});var k,E,A=f.shape.slice(0,-2).concat([y,b]),R=i?f.as3D(S,m,y):f.as3D(S,y,m),T=s?d.as3D(I,b,v):d.as3D(I,v,b);null!=u&&Gr(A,(k=wt(k=qe(u,"bias","fused matMul"),f)[0]).shape),null!=p&&(E=qe(p,"prelu weights","fused matMul"));var D={$a:R,$b:T};return null!=u&&(D.$bias=k),null!=p&&(D.$preluActivationWeights=E),At.runKernelFunc(function(t,e){var n=t.fusedBatchMatMul({a:R,b:T,transposeA:i,transposeB:s,bias:k,activation:c,preluActivationWeights:E});return e([R,T,n]),n},D,function(t,e){var n=e[0],r=e[1],a=e[2],o=Dc(t,a,c),l={};return null!=u&&(l={$bias:function(){return Oc(k,o)}}),i||s?!i&&s?Object.assign({$a:function(){return o.matMul(r,!1,!1)},$b:function(){return o.matMul(n,!0,!1)}},l):i&&!s?Object.assign({$a:function(){return r.matMul(o,!1,!0)},$b:function(){return n.matMul(o,!1,!1)}},l):Object.assign({$a:function(){return r.matMul(o,!0,!0)},$b:function(){return o.matMul(n,!0,!0)}},l):Object.assign({$a:function(){return o.matMul(r,!1,!0)},$b:function(){return n.matMul(o,!0,!1)}},l)}).reshape(A)}}),Mc=rn({conv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,a=t.pad,i=t.dataFormat,o=void 0===i?"NHWC":i,s=t.dilations,u=void 0===s?[1,1]:s,l=t.dimRoundingMode,c=t.bias,p=t.activation,h=void 0===p?"linear":p,f=t.preluActivationWeights;if(h=h||"linear",!1===Tc(At.state.gradientDepth,h)){var d=qu(e,n,r,a,o,u,l);return null!=c&&(d=ru(d,c)),_c(d,h,f)}var m=qe(e,"x","conv2d"),v=qe(n,"filter","conv2d"),y=m,b=!1;3===m.rank&&(b=!0,y=m.as4D(1,m.shape[0],m.shape[1],m.shape[2])),g(4===y.rank,function(){return"Error in fused conv2d: input must be rank 4, but got rank "+y.rank+"."}),g(4===v.rank,function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+v.rank+"."}),null!=l&&g(C(a),function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+l+" but got pad "+a+"."}),g(y.shape[3]===v.shape[2],function(){return"Error in conv2d: depth of input ("+y.shape[3]+") must match input depth for filter "+v.shape[2]+"."}),g(ea(r,u),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),g("NHWC"===o,function(){return"Error in conv2d: got dataFormat of "+o+" but only NHWC is currently supported."});var x,w,N=Kr(y.shape,v.shape,r,u,a,l);null!=c&&(x=wt(x=qe(c,"bias","fused conv2d"),m)[0],Gr(N.outShape,x.shape)),null!=f&&(w=qe(f,"prelu weights","fused conv2d"));var S={x:y,$filter:v};null!=c&&(S.$bias=x),null!=f&&(S.$preluActivationWeights=w);var I=At.runKernelFunc(function(t,e){var n=t.fusedConv2d({input:y,filter:v,convInfo:N,bias:x,activation:h,preluActivationWeights:w});return e([v,y,n]),n},S,function(t,e){var n=e,i=n[0],o=n[1],s=n[2],l=Dc(t,s,h);g(ta(u),function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"});var p={};return null!=c&&(p={$bias:function(){return Oc(x,l)}}),Object.assign({x:function(){return Xu(o.shape,l,i,r,a)},$filter:function(){return Ku(o,l,i.shape,r,a)}},p)});return b?I.as3D(I.shape[1],I.shape[2],I.shape[3]):I}}),zc=rn({depthwiseConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,a=t.pad,i=t.dataFormat,o=void 0===i?"NHWC":i,s=t.dilations,u=void 0===s?[1,1]:s,l=t.dimRoundingMode,c=t.bias,p=t.activation,h=void 0===p?"linear":p,f=t.preluActivationWeights;if(!1===Tc(At.state.gradientDepth,h)){var d=$u(e,n,r,a,o,u,l);return null!=c&&(d=ru(d,c)),_c(d,h,f)}var m=qe(e,"x","depthwiseConv2d"),v=qe(n,"filter","depthwiseConv2d"),y=m,b=!1;3===m.rank&&(b=!0,y=m.as4D(1,m.shape[0],m.shape[1],m.shape[2])),g(4===y.rank,function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+y.rank+"."}),g(4===v.rank,function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+v.rank+"."}),g(y.shape[3]===v.shape[2],function(){return"Error in fused depthwiseConv2d: number of input channels ("+y.shape[3]+") must match the inChannels dimension in filter "+v.shape[2]+"."}),null==u&&(u=[1,1]),g(ea(r,u),function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),null!=l&&g(C(a),function(){return"Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode "+l+" but got pad "+a+"."});var x,w,N=Kr(y.shape,v.shape,r,u,a,l,!0);null!=c&&(x=wt(x=qe(c,"bias","fused conv2d"),m)[0],Gr(N.outShape,x.shape)),null!=f&&(w=qe(f,"prelu weights","fused depthwiseConv2d"));var S={x:y,$filter:v};null!=c&&(S.$bias=x),null!=f&&(S.$preluActivationWeights=w);var I=At.runKernelFunc(function(t,e){var n=t.fusedDepthwiseConv2D({input:y,filter:v,convInfo:N,bias:x,activation:h,preluActivationWeights:w});return e([y,v,n]),n},S,function(t,e){g(ta(u),function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+u+"'"});var n=e[0],r=e[1],a=e[2],i=Dc(t,a,h),o={};return null!=c&&(o={$bias:function(){return Oc(x,i)}}),Object.assign({x:function(){return Yu(n.shape,i,r,N)},$filter:function(){return Ju(n,i,r.shape,N)}},o)});return b?I.as3D(I.shape[1],I.shape[2],I.shape[3]):I}}),Lc=Object.freeze({matMul:Fc,conv2d:Mc,depthwiseConv2d:zc}),Bc=Object.freeze({image:Rc,linalg:Nc,losses:bc,spectral:Zl,fused:Lc,signal:uc,square:ns,conv1d:Gu,conv2d:qu,conv3d:Hu,depthwiseConv2d:$u,separableConv2d:Zu,conv2dTranspose:Qu,conv3dTranspose:tl,op:rn,batchNormalization2d:js,batchNormalization3d:Gs,batchNormalization4d:qs,batchNormalization:Hs,batchNorm:Ks,batchNorm2d:Xs,batchNorm3d:$s,batchNorm4d:Ys,booleanMaskAsync:Wu,complex:an,real:on,imag:sn,concat:In,concat1d:kn,concat2d:En,concat3d:An,concat4d:Rn,split:Tn,matMul:el,dot:nl,outerProduct:rl,reverse:al,reverse1d:il,reverse2d:ol,reverse3d:sl,reverse4d:ul,maxPool:pl,avgPool:hl,pool:fl,maxPool3d:dl,avgPool3d:ml,slice:gl,slice1d:vl,slice2d:yl,slice3d:bl,slice4d:xl,abs:rs,acos:as,acosh:is,asin:os,asinh:ss,atan:us,atanh:ls,ceil:cs,clipByValue:ps,cos:hs,cosh:fs,erf:ds,exp:ms,expm1:gs,floor:vs,log:ys,log1p:bs,logSigmoid:xs,neg:ws,reciprocal:Cs,round:Ns,rsqrt:Ss,sigmoid:Is,sign:ks,isNaN:Es,isInf:As,isFinite:Rs,sin:Ts,sinh:Ds,softplus:Os,sqrt:_s,step:Fs,tan:Ms,tanh:zs,all:Cl,any:Nl,argMax:Sl,argMin:Il,logSumExp:kl,max:El,mean:Al,min:Rl,moments:Tl,sum:Dl,prod:Ol,equal:Su,equalStrict:Iu,greater:ku,greaterEqual:Eu,greaterEqualStrict:Au,greaterStrict:Ru,less:Tu,lessEqual:Du,lessEqualStrict:Ou,lessStrict:_u,notEqual:Fu,notEqualStrict:Mu,add:ru,addN:au,addStrict:iu,atan2:ou,div:su,divStrict:uu,floorDiv:lu,maximum:cu,maximumStrict:pu,minimum:hu,minimumStrict:fu,mod:du,modStrict:mu,mul:gu,mulStrict:vu,pow:yu,powStrict:bu,squaredDifference:xu,squaredDifferenceStrict:wu,sub:Cu,subStrict:Nu,elu:_l,leakyRelu:Fl,prelu:Ml,relu:zl,relu6:Ll,selu:Bl,logicalAnd:Js,logicalNot:Zs,logicalOr:Qs,logicalXor:tu,where:eu,whereAsync:nu,buffer:jn,print:Gn,batchToSpaceND:qn,cast:Hn,clone:Kn,cumsum:Xn,depthToSpace:$n,expandDims:Yn,eye:Jn,multinomial:Zn,oneHot:Qn,pad:tr,pad1d:er,pad2d:nr,pad3d:rr,pad4d:ar,rand:ir,randomNormal:or,randomGamma:sr,randomUniform:ur,reshape:lr,spaceToBatchND:cr,squeeze:pr,stack:hr,tile:fr,truncatedNormal:dr,unstack:mr,setdiff1dAsync:gr,fill:xn,linspace:wn,ones:yn,range:Cn,scalar:cn,tensor:un,tensor1d:pn,tensor2d:hn,tensor3d:fn,tensor4d:dn,tensor5d:mn,tensor6d:gn,variable:vn,zeros:bn,onesLike:Nn,zerosLike:Sn,transpose:Pl,softmax:Lr,logSoftmax:Br,localResponseNormalization:Wl,norm:Vl,gather:Bu,unsortedSegmentSum:Pu,basicLSTMCell:Ul,multiRNNCell:jl,movingAverage:Gl,stridedSlice:ql,topk:Hl,scatterND:Kl,fft:Xl,ifft:$l,rfft:Yl,irfft:Jl,sparseToDense:Ql,gatherND:tc,diag:ec,dropout:nc,hannWindow:ac,hammingWindow:ic,frame:oc,stft:sc,inTopKAsync:lc});function Pc(t,e){Array.isArray(t)||(t=[t]),t.forEach(function(t){null!=t&&g("complex64"!==t.dtype,function(){return e+" does not support complex64 tensors."})})}function Wc(t,e,n,r){if("linear"===n)return t.linear(e);if("relu"===n)return t.relu(e);if("elu"===n)return t.elu(e);if("relu6"===n)return t.relu6(e);if("prelu"===n)return t.prelu(e,r);throw new Error("Activation "+n+" has not been implemented for the CPU backend.")}var Vc=function(t){function e(){var e=t.call(this)||this;if(e.blockSize=48,e.firstUse=!0,o().get("IS_BROWSER")){var n="undefined"!=typeof OffscreenCanvas?new OffscreenCanvas(300,150):"undefined"!=typeof document?document.createElement("canvas"):null;null!==n&&(e.fromPixels2DContext=n.getContext("2d"))}return e.data=new Pr(e,At),e}return n(e,t),e.prototype.write=function(t,e,n){this.firstUse&&(this.firstUse=!1,o().get("IS_NODE")&&Ue("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================\n"));var r={};return this.data.set(r,{values:t,dtype:n}),r},e.prototype.move=function(t,e,n,r){this.data.set(t,{values:e,dtype:r})},e.prototype.numDataIds=function(){return this.data.numDataIds()},e.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n,r,a=t.data instanceof Uint8Array,i="undefined"!=typeof ImageData&&t instanceof ImageData,s="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement,l=s?[t.videoWidth,t.videoHeight]:[t.width,t.height],c=l[0],p=l[1];if(o().get("IS_NODE")&&null==t.getContext)throw new Error("When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package");if(null!=t.getContext)n=t.getContext("2d").getImageData(0,0,c,p).data;else if(i||a)n=t.data;else{if(!u&&!s)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(null==this.fromPixels2DContext)throw new Error("Can't read pixels from HTMLImageElement outside the browser.");this.fromPixels2DContext.canvas.width=c,this.fromPixels2DContext.canvas.height=p,this.fromPixels2DContext.drawImage(t,0,0,c,p),n=this.fromPixels2DContext.getImageData(0,0,c,p).data}if(4===e)r=new Int32Array(n);else{var h=c*p;r=new Int32Array(h*e);for(var f=0;f<h;f++)for(var d=0;d<e;++d)r[f*e+d]=n[4*f+d]}return fn(r,[p,c,e],"int32")},e.prototype.read=function(t){return r(this,void 0,void 0,function(){return a(this,function(e){return[2,this.readSync(t)]})})},e.prototype.readSync=function(t){var e=this.data.get(t),n=e.dtype,r=e.complexTensors;return"complex64"===n?sa(this.readSync(r.real.dataId),this.readSync(r.imag.dataId)):this.data.get(t).values},e.prototype.bufferSync=function(t){var e=this.readSync(t.dataId),n=e;if("string"===t.dtype)try{n=e.map(function(t){return Z(t)})}catch(t){throw new Error("Failed to decode encoded string bytes into utf-8")}return jn(t.shape,t.dtype,n)},e.prototype.makeOutput=function(t,e,n){var r=this.write(t,e,n);return At.makeTensorFromDataId(r,e,n,this)},e.prototype.disposeData=function(t){if(this.data.has(t)){var e=this.data.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.data.delete(t)}},e.prototype.time=function(t){return r(this,void 0,void 0,function(){var e;return a(this,function(n){return e=$(),t(),[2,{kernelMs:$()-e}]})})},e.prototype.memory=function(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}},e.prototype.complex=function(t,e){var n=this.makeOutput(null,t.shape,"complex64");return this.data.get(n.dataId).complexTensors={real:At.keep(t.clone()),imag:At.keep(e.clone())},n},e.prototype.real=function(t){return this.data.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.data.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(Pc(t,"slice"),Dr(t.shape,e,n)){var r=Or(e,t.strides),a=x(n);return un(this.readSync(t.dataId).subarray(r,r+a),n,t.dtype)}for(var i=jn(n,t.dtype),o=this.bufferSync(t),s=0;s<i.size;++s){var u=i.indexToLoc(s).map(function(t,n){return t+e[n]});i.values[s]=o.get.apply(o,u)}return i.toTensor()},e.prototype.stridedSlice=function(t,e,n,r){Pc(t,"stridedSlice");var a=Ar(e,n,r);if(a.some(function(t){return 0===t}))return un([],a);for(var i=jn(a,t.dtype),o=this.bufferSync(t),s=0;s<i.size;s++){for(var u=i.indexToLoc(s),l=new Array(u.length),c=0;c<l.length;c++)l[c]=u[c]*r[c]+e[c];i.set.apply(i,[o.get.apply(o,l)].concat(u))}return i.toTensor()},e.prototype.diag=function(t){for(var e=this.readSync(t.dataId),n=jn([t.size,t.size],t.dtype),r=n.values,a=0;a<e.length;a++)r[a*t.size+a]=e[a];return n.toTensor()},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),a=0,i=0;i<t.rank;i++)i!==e&&(r[a++]=t.shape[i]);var o=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(i=0;i<u.length;i++)o[e]=i,u[i]=this.slice(t,o,s).reshape(r);return u},e.prototype.reverse=function(t,e){Pc(t,"reverse");for(var n=jn(t.shape,t.dtype),r=this.bufferSync(t),a=function(a){var i=n.indexToLoc(a),o=i.slice();e.forEach(function(e){return o[e]=t.shape[e]-1-o[e]}),n.set.apply(n,[r.get.apply(r,o)].concat(i))},i=0;i<n.size;i++)a(i);return n.toTensor()},e.prototype.concat=function(t,e){var n=this;if("complex64"===t[0].dtype){var r=t.map(function(t){return on(t)}),a=t.map(function(t){return sn(t)});return an(this.concat(r,e),this.concat(a,e))}var i=t.map(function(t){var n=x(t.shape.slice(e));return t.as2D(-1,n)}),o=nn(i.map(function(t){return t.shape}),1),s=jn(o,t[0].dtype).values;if(1===i[0].shape[0]){var u=0;i.forEach(function(t){s.set(n.readSync(t.dataId),u),u+=t.size})}else{var l=0;i.forEach(function(t){for(var e=n.readSync(t.dataId),r=0,a=0;a<t.shape[0];++a)for(var i=a*o[1]+l,u=0;u<t.shape[1];++u)s[i+u]=e[r++];l+=t.shape[1]})}var c=nn(t.map(function(t){return t.shape}),e);return un(s,c,t[0].dtype)},e.prototype.neg=function(t){return Pc(t,"neg"),this.multiply(cn(-1),t)},e.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t+n,imag:e+r}}):this.broadcastedBinaryOp(t,e,bt(t.dtype,e.dtype),function(t,e){return t+e})},e.prototype.addN=function(t){var e=this;Pc(t,"addN");for(var n=t.map(function(t){return e.readSync(t.dataId)}),r=jn(t[0].shape,t[0].dtype),a=r.values,i=0;i<t.length;i++)for(var o=n[i],s=0;s<a.length;s++)a[s]+=o[s];return r.toTensor()},e.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t-n,imag:e-r}}):this.broadcastedBinaryOp(t,e,bt(t.dtype,e.dtype),function(t,e){return t-e})},e.prototype.pow=function(t,e){return Pc([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.pow(t,e)})},e.prototype.batchMatMul=function(t,e,n,r){Pc([t,e],"matMul");for(var a=n?t.shape[1]:t.shape[2],i=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],p=c[0],h=c[1],f=c[2],d=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],m=d[0],g=d[1],v=d[2],y=i*o,b=jn([s,i,o],t.dtype),x=b.values,w=this.blockSize,C=0;C<s;C++)for(var N=0;N<i;N+=w)for(var S=0;S<o;S+=w)for(var I=0;I<a;I+=w)for(var k=Math.min(N+w,i),E=Math.min(S+w,o),A=Math.min(I+w,a),R=N;R<k;R++)for(var T=S;T<E;T++){for(var D=0,O=I;O<A;O++)D+=u[C*p+R*h+O*f]*l[O*m+T*g+C*v];x[C*y+(R*o+T)]+=D}return b.toTensor()},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,a=t.transposeB,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,a);return i&&(u=this.add(u,i)),o&&(u=Wc(this,u,o,s)),u},e.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}}):this.broadcastedBinaryOp(t,e,bt(t.dtype,e.dtype),function(t,e){return t*e})},e.prototype.realDivide=function(t,e){return Pc([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},e.prototype.floorDiv=function(t,e){return Pc([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},e.prototype.sum=function(t,e){Pc(t,"sum"),Je("sum",e,t.rank);for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,bt(t.dtype,"int32")),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=0,h=0;h<o;++h)p+=u[c+h];s[l]=p}return i},e.prototype.prod=function(t,e){Pc(t,"sum");for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,bt(t.dtype,"int32")),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=1,h=0;h<o;++h)p*=u[c+h];s[l]=p}return i},e.prototype.unsortedSegmentSum=function(t,e,n){Pc(t,"unsortedSegmentSum");for(var r=[],a=t.rank-e.rank,i=0;i<a;++i)e=e.expandDims(i+1);for(i=0;i<n;++i){var o=cn(i,"int32"),s=Su(o,e).asType("float32").mul(t).sum(0);r.push(s)}return hr(r)},e.prototype.argMin=function(t,e){Pc(t,"argMin");var n=[e];Je("argMin",n,t.rank);for(var r=$e(t.shape,n),a=r[0],i=r[1],o=bn(a,"int32"),s=x(i),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var m=l[p+d];m<h&&(h=m,f=d)}u[c]=f}return o},e.prototype.argMax=function(t,e){Pc(t,"argMax");var n=[e];Je("argMax",n,t.rank);for(var r=$e(t.shape,n),a=r[0],i=r[1],o=bn(a,"int32"),s=x(i),u=this.readSync(o.dataId),l=this.readSync(t.dataId),c=0;c<u.length;++c){for(var p=c*s,h=l[p],f=0,d=0;d<s;++d){var m=l[p+d];m>h&&(h=m,f=d)}u[c]=f}return o},e.prototype.cumsum=function(t,e,n,r){if(Pc(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 a=bt(t.dtype,"int32"),i=bn(t.shape,a),o=this.readSync(i.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],l=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var h=l(c,p);if(0===p)o[h]=n?0:s[h];else{var f=l(c,p-1);o[h]=n?s[f]+o[f]:s[h]+o[f]}}return i},e.prototype.equal=function(t,e){return Pc([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},e.prototype.notEqual=function(t,e){return Pc([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},e.prototype.less=function(t,e){return Pc([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},e.prototype.lessEqual=function(t,e){return Pc([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},e.prototype.greater=function(t,e){return Pc([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},e.prototype.greaterEqual=function(t,e){return Pc([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},e.prototype.logicalNot=function(t){Pc(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},e.prototype.logicalAnd=function(t,e){return Pc([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},e.prototype.logicalOr=function(t,e){return Pc([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},e.prototype.select=function(t,e,n){Pc([t,e,n],"select");for(var r=this.readSync(t.dataId),a=this.readSync(e.dataId),i=this.readSync(n.dataId),o=bn(e.shape,bt(e.dtype,n.dtype)),s=this.readSync(o.dataId),u=0,l=0===t.rank||t.rank>1||1===e.rank?1:x(e.shape.slice(1)),c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=a[c]:s[u++]=i[c];return o},e.prototype.where=function(t){Pc([t],"where");var e=this.readSync(t.dataId);return ga(t.shape,e)},e.prototype.topk=function(t,e,n){return Pc(t,"topk"),ma(this.readSync(t.dataId),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Pc(t,"min"),Je("min",e,t.rank);for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,t.dtype),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f<p&&(p=f)}s[l]=p}return i},e.prototype.minimum=function(t,e){return Pc([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},e.prototype.mod=function(t,e){return Pc([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})},e.prototype.max=function(t,e){Pc(t,"max"),Je("max",e,t.rank);for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,t.dtype),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];f>p&&(p=f)}s[l]=p}return i},e.prototype.maximum=function(t,e){return Pc([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},e.prototype.all=function(t,e){Pc(t,"all"),Je("all",e,t.rank);for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,t.dtype),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p&&f}s[l]=p}return i},e.prototype.any=function(t,e){Pc(t,"any"),Je("any",e,t.rank);for(var n=$e(t.shape,e),r=n[0],a=n[1],i=bn(r,t.dtype),o=x(a),s=this.readSync(i.dataId),u=this.readSync(t.dataId),l=0;l<s.length;++l){for(var c=l*o,p=u[c],h=0;h<o;++h){var f=u[c+h];p=p||f}s[l]=p}return i},e.prototype.squaredDifference=function(t,e){return Pc([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},e.prototype.ceil=function(t){Pc(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 this.makeOutput(n,t.shape,"float32")},e.prototype.floor=function(t){Pc(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.sign=function(t){Pc(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},e.prototype.isNaN=function(t){Pc(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isInf=function(t){Pc(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isFinite=function(t){Pc(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.round=function(t){Pc(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=Math.floor(e[r]);e[r]-a<.5?n[r]=Math.floor(e[r]):e[r]-a>.5?n[r]=Math.ceil(e[r]):n[r]=a%2==0?a:a+1}return this.makeOutput(n,t.shape,"float32")},e.prototype.exp=function(t){Pc(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 this.makeOutput(n,t.shape,"float32")},e.prototype.expm1=function(t){Pc(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 this.makeOutput(n,t.shape,"float32")},e.prototype.log=function(t){Pc(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=Math.log(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.log1p=function(t){Pc(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=Math.log1p(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.sqrt=function(t){Pc(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=Math.sqrt(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.rsqrt=function(t){Pc(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var a=e[r];n[r]=1/Math.sqrt(a)}return this.makeOutput(n,t.shape,"float32")},e.prototype.reciprocal=function(t){Pc(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 this.makeOutput(n,t.shape,"float32")},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){Pc(t,"relu");for(var e=bn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return e},e.prototype.relu6=function(t){Pc(t,"relu");for(var e=bn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),a=0;a<r.length;++a)n[a]=Math.min(Math.max(0,r[a]),6);return e},e.prototype.prelu=function(t,e){return Pc([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},e.prototype.elu=function(t){Pc(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=n[r];e[r]=a>=0?a:Math.exp(a)-1}return this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Pc([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),a=this.readSync(t.dataId),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Pc(t,"selu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=n[r];e[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return this.makeOutput(e,t.shape,"float32")},e.prototype.clip=function(t,e,n){Pc(t,"clip");for(var r=new Float32Array(t.size),a=this.readSync(t.dataId),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<e?e:o}return this.makeOutput(r,t.shape,"float32")},e.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var a=n[2*r],i=n[2*r+1];e[r]=Math.hypot(a,i)}return this.makeOutput(e,t.shape,"float32")},e.prototype.int=function(t){Pc(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},e.prototype.sigmoid=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.softplus=function(t){Pc(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),a=0;a<r.length;++a){var i,o=r[a]>-e,s=r[a]<e,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return this.makeOutput(n,t.shape,"float32")},e.prototype.sin=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.cos=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.tan=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Pc([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},e.prototype.sinh=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Pc(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=N(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Pc(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 this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Pc(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=Math.sign(n[r]),i=Math.abs(n[r]),o=1/(1+.3275911*i);e[r]=a*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i))}return this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Pc(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:e}return this.makeOutput(n,t.shape,"float32")},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.conv2d(e,n,r);return a&&(s=this.add(s,a)),i&&(s=Wc(this,s,i,o)),s},e.prototype.conv2d=function(t,e,n){Pc([t,e],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l="channelsLast"===n.dataFormat,c=jn(n.outShape,t.dtype),p=t.strides[0],h=l?t.strides[1]:t.strides[2],f=l?t.strides[2]:1,d=l?1:t.strides[1],m=c.strides[0],g=l?c.strides[1]:c.strides[2],v=l?c.strides[2]:1,y=l?1:c.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=c.values,C=0;C<n.batchSize;++C)for(var N=C*p,S=C*m,I=0;I<n.outHeight;++I)for(var k=S+I*g,E=I*n.strideHeight-u,A=0;A<r;A++){var R=E+A*i;if(!(R<0||R>=n.inHeight))for(var T=A*e.strides[0],D=N+R*h,O=0;O<n.outWidth;++O)for(var _=k+O*v,F=O*n.strideWidth-s,M=0;M<a;M++){var z=F+M*o;if(!(z<0||z>=n.inWidth))for(var L=D+z*f,B=T+M*e.strides[1],P=0;P<n.inChannels;++P){for(var W=b[L+P*d],V=0;V<n.outChannels;++V)w[_+V*y]+=W*x[B+V];B+=n.outChannels}}}return c.toTensor()},e.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,a=n.filterHeight,i=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=jn(n.outShape,t.dtype),f=this.readSync(t.dataId),d=this.readSync(e.dataId),m=h.values,g=0;g<n.batchSize;++g)for(var v=g*t.strides[0],y=g*h.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*h.strides[1],w=b*n.strideDepth-l,C=0;C<r;C++){var N=w+C*o;if(!(N<0||N>=n.inDepth))for(var S=C*e.strides[0],I=v+N*t.strides[1],k=0;k<n.outHeight;++k)for(var E=x+k*h.strides[2],A=k*n.strideHeight-p,R=0;R<a;R++){var T=A+R*s;if(!(T<0||T>=n.inHeight))for(var D=S+R*e.strides[1],O=I+T*t.strides[2],_=0;_<n.outWidth;++_)for(var F=E+_*n.outChannels,M=_*n.strideWidth-c,z=0;z<i;z++){var L=M+z*u;if(!(L<0||L>=n.inWidth))for(var B=D+z*e.strides[2],P=O+L*n.inChannels,W=B,V=0;V<n.inChannels;++V){for(var U=f[P+V],j=0;j<n.outChannels;++j)m[F+j]+=U*d[W+j];W+=n.outChannels}}}}return h.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Pc([t,e],"conv2dDerInput");for(var r=jn(n.inShape,"float32"),a=r.values,i=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],l=s[1],c=s[2],p=n.batchSize,h=n.filterHeight,f=n.filterWidth,d=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,C=n.dataFormat,N=h-1-n.padInfo.top,S=f-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],E=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,R=I?1:r.strides[1],T=t.strides[0],D=I?t.strides[1]:t.strides[2],O=I?t.strides[2]:1,_=I?1:t.strides[1],F=0;F<p;++F)for(var M=0;M<d;++M)for(var z=0;z<m;++z)for(var L=z-N,B=Math.max(0,Math.ceil(L/x)),P=Math.min(y,(h+L)/x),W=0;W<g;++W){for(var V=W-S,U=Math.max(0,Math.ceil(V/w)),j=Math.min(b,(f+V)/w),G=0,q=B;q<P;++q)for(var H=q*x-L,K=U;K<j;++K)for(var X=T*F+D*q+O*K,$=u*(h-1-H)+l*(f-1-(K*w-V))+c*M,Y=0;Y<v;++Y)G+=i[X+_*Y]*o[$+Y];a[k*F+E*z+A*W+R*M]=G}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=jn(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=i[3],c=this.readSync(t.dataId),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=n.batchSize,N=n.filterDepth,S=n.filterHeight,I=n.filterWidth,k=n.inChannels,E=n.inDepth,A=n.inHeight,R=n.inWidth,T=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,F=n.strideDepth,M=n.strideHeight,z=n.strideWidth,L=N-1-n.padInfo.front,B=S-1-n.padInfo.top,P=I-1-n.padInfo.left,W=0;W<C;++W)for(var V=0;V<k;++V)for(var U=0;U<E;++U)for(var j=U-L,G=Math.max(0,Math.ceil(j/F)),q=Math.min(D,(N+j)/F),H=0;H<A;++H)for(var K=H-B,X=Math.max(0,Math.ceil(K/M)),$=Math.min(O,(S+K)/M),Y=0;Y<R;++Y){for(var J=Y-P,Z=Math.max(0,Math.ceil(J/z)),Q=Math.min(_,(I+J)/z),tt=0,et=G;et<q;++et)for(var nt=et*F-j,rt=X;rt<$;++rt)for(var at=rt*M-K,it=Z;it<Q;++it)for(var ot=h*W+f*et+d*rt+m*it,st=y*(N-1-nt)+b*(S-1-at)+x*(I-1-(it*z-J))+w*V,ut=0;ut<T;++ut)tt+=c[ot+ut]*g[st+ut];a[o*W+s*U+u*H+l*Y+V]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Pc([t,e],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=jn(n.filterShape,"float32"),l=n.padInfo.left,c=n.padInfo.top,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<i;++f)for(var d=Math.max(0,Math.ceil((c-f)/r)),m=Math.min(n.outHeight,(n.inHeight+c-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((l-g)/a)),y=Math.min(n.outWidth,(n.inWidth+l-g)/a),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,C=0;C<n.batchSize;++C)for(var N=d;N<m;++N)for(var S=f+N*r-c,I=v;I<y;++I){var k=g+I*a-l;w+=s?p.get(C,S,k,b)*h.get(C,N,I,x):p.get(C,b,S,k)*h.get(C,x,N,I)}u.set(w,f,g,b,x)}return u.toTensor()},e.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=jn(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=this.readSync(e.dataId),v=e.strides,y=v[0],b=v[1],x=v[2],w=v[3],C=this.readSync(t.dataId),N=t.strides,S=N[0],I=N[1],k=N[2],E=N[3],A=n.padInfo.front,R=n.padInfo.left,T=n.padInfo.top,D=0;D<o;++D)for(var O=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),F=D*h,M=0;M<s;++M)for(var z=Math.max(0,Math.ceil((T-M)/a)),L=Math.min(n.outHeight,(n.inHeight+T-M)/a),B=M*f+F,P=0;P<u;++P)for(var W=Math.max(0,Math.ceil((R-P)/i)),V=Math.min(n.outWidth,(n.inWidth+R-P)/i),U=P*d+B,j=0;j<n.inChannels;++j)for(var G=j*m+U,q=0;q<n.outChannels;++q){for(var H=0,K=0;K<n.batchSize;++K)for(var X=K*S,$=K*y,Y=O;Y<_;++Y)for(var J=(D+Y*r-A)*I+X,Z=Y*b+$,Q=z;Q<L;++Q)for(var tt=(M+Q*a-T)*k+J,et=Q*x+Z,nt=W;nt<V;++nt){var rt=nt*w+et;H+=C[(P+nt*i-R)*E+tt+j]*g[rt+q]}c[G+q]=H}return l.toTensor()},e.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return a&&(s=this.add(s,a)),i&&(s=Wc(this,s,i,o)),s},e.prototype.depthwiseConv2D=function(t,e,n){Pc([t,e],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=jn(n.outShape,t.dtype),p=this.readSync(t.dataId),h=this.readSync(e.dataId),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*c.strides[1],b=v*n.strideHeight-s,x=0;x<r;++x){var w=b+x*i;if(!(w<0||w>=n.inHeight))for(var C=x*e.strides[0],N=m+w*t.strides[1],S=0;S<n.outWidth;++S)for(var I=y+S*c.strides[2],k=S*n.strideWidth-u,E=0;E<a;++E){var A=k+E*o;if(!(A<0||A>=n.inWidth))for(var R=C+E*e.strides[1],T=N+A*n.inChannels,D=I,O=R,_=0;_<n.inChannels;++_){for(var F=p[T+_],M=0;M<l;++M)f[D+M]+=F*h[O+M];D+=l,O+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Pc([t,e],"depthwiseConv2DDerInput");for(var r=jn(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=this.readSync(t.dataId),c=t.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(e.dataId),m=e.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,C=n.inChannels,N=n.inHeight,S=n.inWidth,I=n.outChannels,k=n.outHeight,E=n.outWidth,A=n.strideHeight,R=n.strideWidth,T=x-1-n.padInfo.top,D=w-1-n.padInfo.left,O=I/C,_=0;_<b;++_)for(var F=0;F<C;++F)for(var M=0;M<N;++M)for(var z=M-T,L=Math.max(0,Math.ceil(z/A)),B=Math.min(k,(x+z)/A),P=0;P<S;++P){for(var W=P-D,V=Math.max(0,Math.ceil(W/R)),U=Math.min(E,(w+W)/R),j=0,G=L;G<B;++G)for(var q=G*A-z,H=V;H<U;++H)for(var K=p*_+h*G+f*H,X=g*(x-1-q)+v*(w-1-(H*R-W))+y*F,$=0;$<O;++$)j+=l[K+(F*O+$)]*d[X+$];a[o*_+s*M+u*P+F]=j}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Pc([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=jn(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=this.bufferSync(t),h=this.bufferSync(e),f=0;f<i;++f)for(var d=Math.max(0,Math.ceil((l-f)/r)),m=Math.min(n.outHeight,(n.inHeight+l-f)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((u-g)/a)),y=Math.min(n.outWidth,(n.inWidth+u-g)/a),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/c),w=b%c,C=0,N=0;N<n.batchSize;++N)for(var S=d;S<m;++S)for(var I=f+S*r-l,k=v;k<y;++k){var E=g+k*a-u;C+=p.get(N,I,E,x)*h.get(N,S,k,b)}s.set(C,f,g,x,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Pc(t,"tile"),da(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Pc(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),a=e.map(function(t){return t[0]}),i=this.bufferSync(t),o=jn(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=i.indexToLoc(s),l=u.map(function(t,e){return t+a[e]});o.set.apply(o,[i.get.apply(i,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(t,e){Pc(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var a=this.readSync(t.dataId),i=jn(n,t.dtype),o=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[e[l]];var c=i.locToIndex(u);i.values[c]=a[r]}return i.toTensor()},e.prototype.gather=function(t,e,n){Pc([t,e],"gather");var r=t.shape.slice(),a=this.readSync(e.dataId);r[n]=a.length;for(var i=jn(r,t.dtype),o=this.bufferSync(t),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Pc([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),a=vr(t.shape,e,r),i=yr(a.length,e.length),o=br(t.shape,e,r),s=xr(n,e.length),u=wr(o,n,e.length);return t.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Pc([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),a=[[0,0]];a.push.apply(a,n);for(var i=1+e.length;i<t.shape.length;++i)a.push([0,0]);var o=t.pad(a),s=vr(o.shape,e,r,!1),u=yr(s.length,e.length,!1),l=br(o.shape,e,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(t,e,n){Pc(t,"pool");for(var r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=this.readSync(t.dataId),f=jn(e.outShape,t.dtype),d=f.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],v=e.outShape[3],y=0;y<e.batchSize;++y)for(var b=y*m,x=y*t.strides[0],w=0;w<e.inChannels;++w)for(var C=0;C<e.outHeight;++C)for(var N=C*r-l,S=Math.max(0,N),I=Math.min(e.inHeight,s+N),k=b+C*g,E=0;E<e.outWidth;++E){for(var A=E*a-c,R=Math.max(0,A),T=Math.min(e.inWidth,u+A),D=p,O=0,_=0,F=S;F<I;F+=i){for(var M=x+F*t.strides[1],z=R;z<T;z+=o){var L=h[M+z*t.strides[2]+w];"max"===n&&L>D?D=L:"avg"===n&&(O+=L,_++)}if(isNaN(D))break}d[k+E*v+w]="avg"===n?O/_:D}return f.toTensor()},e.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},e.prototype.maxPoolPositions=function(t,e){for(var n=jn(e.outShape,"int32"),r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p=this.bufferSync(t),h=0;h<e.batchSize;++h)for(var f=0;f<e.inChannels;++f)for(var d=0;d<e.outHeight;++d){for(var m=d*r-l,g=m;g<0;)g+=i;for(var v=Math.min(e.inHeight,s+m),y=0;y<e.outWidth;++y){for(var b=y*a-c,x=b;x<0;)x+=o;for(var w=Math.min(e.inWidth,u+b),C=Number.NEGATIVE_INFINITY,N=-1,S=g;S<v;S+=i)for(var I=S-m,k=x;k<w;k+=o){var E=k-b,A=p.get(h,S,k,f);A>C&&(C=A,N=I*u+E)}n.set(N,h,d,y,f)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Pc([e,n],"maxPoolBackprop");for(var a=this.maxPoolPositions(e,r),i=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,h=l-1-r.padInfo.top,f=jn(e.shape,"float32"),d=this.bufferSync(a),m=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-h,w=b-p,C=0,N=0;N<l;N+=s){var S=(x+N)/i;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var I=0;I<c;I+=u){var k=(w+I)/o;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var E=l*c-1-d.get(g,S,k,v)===N*c+I?1:0;0!==E&&(C+=m.get(g,S,k,v)*E)}}}f.set(C,g,y,b,v)}return f.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Pc([t,e],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,h=l-1-n.padInfo.top,f=jn(e.shape,"float32"),d=1/(i*o),m=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-h,w=b-p,C=0,N=0;N<l;N+=s){var S=(x+N)/r;if(!(S<0||S>=n.outHeight||Math.floor(S)!==S))for(var I=0;I<c;I+=u){var k=(w+I)/a;k<0||k>=n.outWidth||Math.floor(k)!==k||(C+=m.get(g,S,k,v))}}f.set(C*d,g,y,b,v)}return f.toTensor()},e.prototype.pool3d=function(t,e,n){Pc(t,"pool3d");for(var r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),v=jn(e.outShape,t.dtype),y=v.values,b=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],x=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],N=0;N<e.batchSize;++N)for(var S=N*b,I=N*t.strides[0],k=0;k<e.inChannels;++k)for(var E=0;E<e.outDepth;++E){for(var A=E*r-h,R=A;R<0;)R+=o;for(var T=Math.min(e.inDepth,l+A),D=S+E*x,O=0;O<e.outHeight;++O){for(var _=O*a-f,F=_;F<0;)F+=s;for(var M=Math.min(e.inHeight,c+_),z=D+O*w,L=0;L<e.outWidth;++L){for(var B=L*i-d,P=B;P<0;)P+=u;for(var W=Math.min(e.inWidth,p+B),V=z+L*C,U=m,j=0,G=0,q=R;q<T;q+=o){for(var H=I+q*t.strides[1],K=F;K<M;K+=s){for(var X=H+K*t.strides[2],$=P;$<W;$+=u){var Y=g[X+$*t.strides[3]+k];if("max"===n&&Y>U?U=Y:"avg"===n&&(j+=Y,G++),isNaN(U))break}if(isNaN(U))break}if(isNaN(U))break}y[V+k]="avg"===n?j/G:U}}}return v.toTensor()},e.prototype.avgPool3d=function(t,e){return Pc(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Pc([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=n.dilationDepth,c=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,f=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=h-1-n.padInfo.front,g=d-1-n.padInfo.left,v=f-1-n.padInfo.top,y=jn(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var N=0;N<n.inDepth;++N)for(var S=0;S<n.inHeight;++S)for(var I=0;I<n.inWidth;++I){for(var k=N-m,E=S-v,A=I-g,R=0,T=0;T<h;T+=l){var D=(k+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var O=0;O<f;O+=c){var _=(E+O)/a;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var F=0;F<d;F+=p){var M=(A+F)/i;M<0||M>=n.outWidth||Math.floor(M)!==M||(R+=x.get(w,D,_,M,C))}}}y.set(R*b,w,N,S,I,C)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Pc(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=jn(e.outShape,"int32"),r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,l=e.effectiveFilterDepth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,f=e.padInfo.top,d=e.padInfo.left,m=this.bufferSync(t),g=0;g<e.batchSize;++g)for(var v=0;v<e.inChannels;++v)for(var y=0;y<e.outDepth;++y){for(var b=y*r-h,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,l+b),C=0;C<e.outHeight;++C){for(var N=C*a-f,S=N;S<0;)S+=s;for(var I=Math.min(e.inHeight,c+N),k=0;k<e.outWidth;++k){for(var E=k*i-d,A=E;A<0;)A+=u;for(var R=Math.min(e.inWidth,p+E),T=Number.NEGATIVE_INFINITY,D=-1,O=x;O<w;O+=o)for(var _=O-b,F=S;F<I;F+=s)for(var M=F-N,z=A;z<R;z+=u){var L=z-E,B=m.get(g,O,F,z,v);B>=T&&(T=B,D=_*c*p+M*c+L)}n.set(D,g,y,C,k,v)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Pc([e,n],"maxPool3dBackprop");for(var a=this.maxPool3dPositions(e,r),i=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=p-1-r.padInfo.front,m=f-1-r.padInfo.left,g=h-1-r.padInfo.top,v=jn(e.shape,"float32"),y=this.bufferSync(a),b=this.bufferSync(t),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var N=0;N<r.inHeight;++N)for(var S=0;S<r.inWidth;++S){for(var I=C-d,k=N-g,E=S-m,A=0,R=0;R<p;R+=u){var T=(I+R)/i;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<h;D+=l){var O=(k+D)/o;if(!(O<0||O>=r.outHeight||Math.floor(O)!==O))for(var _=0;_<f;_+=c){var F=(E+_)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var M=p*h*f-1-y.get(x,T,O,F,w)===R*h*f+D*f+_?1:0;0!==M&&(A+=b.get(x,T,O,F,w)*M)}}}}v.set(A,x,C,N,S,w)}return v.toTensor()},e.prototype.cast=function(t,e){return ra(t,e,this)},e.prototype.reshape=function(t,e){return aa(t,e)},e.prototype.avgPool=function(t,e){return Pc(t,"avgPool"),this.pool(t,e,"avg").toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Pc(t,"resizeBilinear");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(t.dataId),c=new Float32Array(x([i,e,n,u])),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,d=p[0]/h[0],m=p[1]/h[1],g=0;g<i;g++)for(var v=0;v<e;v++)for(var y=d*v,b=Math.floor(y),w=y-b,C=Math.min(o-1,Math.ceil(y)),N=g*t.strides[0]+b*t.strides[1],S=g*t.strides[0]+C*t.strides[1],I=0;I<n;I++)for(var k=m*I,E=Math.floor(k),A=k-E,R=Math.min(s-1,Math.ceil(k)),T=N+E*t.strides[2],D=S+E*t.strides[2],O=N+ +R*t.strides[2],_=S+R*t.strides[2],F=0;F<u;F++){var M=l[T+F],z=l[D+F],L=M+(l[O+F]-M)*A,B=L+(z+(l[_+F]-z)*A-L)*w;c[f++]=B}return un(c,[i,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Pc([t,e],"resizeBilinearBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=[n&&l>1?i-1:i,n&&c>1?o-1:o],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],g=this.readSync(t.dataId),v=0,y=0;y<a;y++)for(var b=y*e.strides[0],x=0;x<l;x++)for(var w=x*d,C=Math.floor(w),N=Math.min(Math.ceil(w),i-1),S=b+C*e.strides[1],I=b+N*e.strides[1],k=w-C,E=1-k,A=0;A<c;A++)for(var R=A*m,T=Math.floor(R),D=Math.min(Math.ceil(R),o-1),O=R-T,_=1-O,F=S+T*e.strides[2],M=S+D*e.strides[2],z=I+T*e.strides[2],L=I+D*e.strides[2],B=E*_,P=E*O,W=k*_,V=k*O,U=0;U<s;U++){var j=g[v++];p[F+U]+=j*B,p[M+U]+=j*P,p[z+U]+=j*W,p[L+U]+=j*V}return dn(p,[a,o,i,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Pc(t,"resizeNearestNeighbor");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(t.dataId),c=new Float32Array(i*e*n*u),p=[r&&e>1?o-1:o,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,g=0;g<i;g++)for(var v=g*t.strides[0],y=0;y<e;y++)for(var b=f*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var C=d*w,N=x+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],S=0;S<u;S++){var I=l[N+S];c[m++]=I}return un(c,[i,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Pc([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=this.readSync(t.dataId),f=[n&&l>1?i-1:i,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,x=2*Math.ceil(y)+2,w=0;w<a;w++)for(var C=w*e.strides[0],N=0;N<i;N++)for(var S=C+N*e.strides[1],I=Math.floor(N*v),k=Math.floor(I-b/2),E=0;E<o;E++)for(var A=S+E*e.strides[2],R=Math.floor(E*y),T=Math.floor(R-x/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var F=_+k;if(!(F<0||F>=l)){var M=C+F*t.strides[1],z=F*m;if(N===Math.min(i-1,n?Math.round(z):Math.floor(z)))for(var L=0;L<x;L++){var B=L+T;if(!(B<0||B>=c)){var P=M+B*t.strides[2],W=B*g;E===Math.min(o-1,n?Math.round(W):Math.floor(W))&&(O+=h[P+D])}}}}p[A+D]=O}return dn(p,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,a,i){Pc([t,e,n,a,i],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),l=a?this.readSync(a.dataId):new Float32Array([1]),c=i?this.readSync(i.dataId):new Float32Array([0]),p=new Float32Array(o.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)p[x]=c[g++]+(o[x]-s[v++])*l[y++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),v>=m&&(v=0),y>=f&&(y=0),b>=d&&(b=0);return dn(p,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,a){Pc(t,"localResponseNormalization4D");var i=t.shape[3],o=i-1,s=this.readSync(t.dataId),u=t.size,l=new Float32Array(u);function c(t){for(var n=t%i,r=t-n+Math.max(0,n-e),a=t-n+Math.min(n+e,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-a);l[p]=f}return dn(l,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,a,i,o){Pc(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),l=this.readSync(e.dataId),c=this.readSync(n.dataId),p=new Float32Array(t.size),h=t.size,f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),g=f-d+Math.min(s,d+r+1),v=0,y=m;y<g;y++)v+=Math.pow(l[y],2);for(v=i*v+a,y=m;y<g;y++){var b=-2*i*o*l[y]*c[f]/v;f===y&&(b+=Math.pow(v,-o)),b*=u[f],p[y]+=b}}return dn(p,t.shape)},e.prototype.multinomial=function(t,e,n,r){Pc(t,"multinomial");for(var a=e?t:Lr(t),i=a.shape[0],o=a.shape[1],s=bn([i,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(a.dataId),c=0;c<i;++c){var p=c*o,h=new Float32Array(o-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=Pn(r.toString()),m=c*n,g=0;g<n;++g){var v=d();u[m+g]=h.length;for(var y=0;y<h.length;y++)if(v<h[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Pc(t,"oneHot");var a=new Float32Array(t.size*e);a.fill(r);for(var i=this.readSync(t.dataId),o=0;o<t.size;++o)i[o]>=0&&i[o]<e&&(a[o*e+i[o]]=n);return hn(a,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,a){return Pc(t,"nonMaxSuppression"),pa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,a)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],a=jn(t.shape,"float32"),i=jn(t.shape,"float32"),o=on(t).as2D(n,r),s=sn(t).as2D(n,r),u=0;u<n;u++)for(var l=o.slice([u,0],[1,r]),c=s.slice([u,0],[1,r]),p=an(l,c),h=this.readSync(this.fftImpl(p,e).dataId),f=0;f<r;f++){var d=ua(h,f);a.values[u*r+f]=d.real,i.values[u*r+f]=d.imag}return an(a.toTensor(),i.toTensor()).as2D(n,r)},e.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var a=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(a=an(on(a).div(cn(r)),sn(a).div(cn(r)))),a}var i=this.readSync(t.dataId),o=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(i,r,e));return an(o.real,o.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),a=e/2,i=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),a=0;a<t.length;a+=4)n[Math.floor(a/4)]=t[a],r[Math.floor(a/4)]=t[a+1];return{real:n,imag:r}}(r),o=an(i.real,i.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),a=2;a<t.length;a+=4)n[Math.floor(a/4)]=t[a],r[Math.floor(a/4)]=t[a+1];return{real:n,imag:r}}(r),u=an(s.real,s.imag).as1D();o=this.fftRadix2(o,a,n),u=this.fftRadix2(u,a,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),a=0;a<Math.ceil(t/2);a++){var i=(e?2:-2)*Math.PI*(a/t);n[a]=Math.cos(i),r[a]=Math.sin(i)}return{real:n,imag:r}}(e,n),c=an(l.real,l.imag).mul(u),p=o.add(c),h=o.sub(c),f=on(p).concat(on(h)),d=sn(p).concat(sn(h));return an(f,d).as1D()},e.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),a=0;a<e;a++){for(var i=0,o=0,s=0;s<e;s++){var u=ca(a*s,e,n),l=ua(t,s);i+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(i/=e,o/=e),la(r,i,o,a)}return r},e.prototype.depthToSpace=function(t,e,n){g("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),g(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],a=t.shape[1],i=t.shape[2],o=t.shape[3],s=a*e,u=i*e,l=o/(e*e),c=this.readSync(t.dataId),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var d=0;d<s;++d)for(var m=Math.floor(d/e),v=d%e,y=0;y<u;++y)for(var b=Math.floor(y/e),x=(v*e+y%e)*l,w=0;w<l;++w){var C=w+x+o*(b+i*(m+a*f));p[h++]=c[C]}return dn(p,[r,s,u,l])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var a=Gr(t.shape,e.shape),i=jn(a,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Ur(t.shape,a),l=Ur(e.shape,a),c=i.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(o[p%o.length],s[p%s.length]);else{var h=this.bufferSync(t),f=this.bufferSync(e),d=function(n){var a=i.indexToLoc(n),p=a.slice(-t.rank);u.forEach(function(t){return p[t]=0});var d=h.locToIndex(p),m=a.slice(-e.rank);l.forEach(function(t){return m[t]=0});var g=f.locToIndex(m);c[n]=r(o[d],s[g])};for(p=0;p<c.length;++p)d(p)}return i.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Gr(t.shape,e.shape),a=jn(r,"float32"),i=jn(r,"float32"),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Ur(t.shape,r),l=Ur(e.shape,r),c=a.values,p=i.values;if(u.length+l.length===0)for(var h=0;h<c.length;h++){var f=h%o.length,d=h%s.length,m=n(o[2*f],o[2*f+1],s[2*d],s[2*d+1]);c[h]=m.real,p[h]=m.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),v=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var i=a.indexToLoc(r),h=i.slice(-t.rank);u.forEach(function(t){return h[t]=0});var f=g.locToIndex(h),d=i.slice(-e.rank);l.forEach(function(t){return d[t]=0});var m=v.locToIndex(d),y=n(o[2*f],o[2*f+1],s[2*m],s[2*m+1]);c[r]=y.real,p[r]=y.imag};for(h=0;h<c.length;h++)y(h)}return this.complex(a.toTensor(),i.toTensor())},e.prototype.split=function(t,e,n){return fa(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,a,i){for(var o=t.shape,s=o[0],u=o[1],l=o[2],c=o[3],p=e.shape[0],h=r[0],f=r[1],d=jn([p,h,f,c],t.dtype),m=this.readSync(e.dataId),g=this.readSync(n.dataId),v=this.readSync(t.dataId),y=t.strides,b=d.strides,x=0;x<p;x++){var w=4*x,C=m[w],N=m[w+1],S=m[w+2],I=m[w+3],k=g[x];if(!(k>=s))for(var E=h>1?(S-C)*(u-1)/(h-1):0,A=f>1?(I-N)*(l-1)/(f-1):0,R=0;R<h;R++){var T=h>1?C*(u-1)+R*E:.5*(C+S)*(u-1);if(T<0||T>u-1)for(var D=0;D<f;D++)for(var O=0;O<c;O++){var _=O+D*b[2]+R*b[1]+x*b[0];d.values[_]=i}else if("bilinear"===a){var F=Math.floor(T),M=Math.ceil(T),z=T-F;for(D=0;D<f;D++)if((q=f>1?N*(l-1)+D*A:.5*(N+I)*(l-1))<0||q>l-1)for(O=0;O<c;O++)_=O+D*b[2]+R*b[1]+x*b[0],d.values[_]=i;else{var L=Math.floor(q),B=Math.ceil(q),P=q-L;for(O=0;O<c;O++){var W=v[_=O+L*y[2]+F*y[1]+k*y[0]],V=v[_=O+B*y[2]+F*y[1]+k*y[0]],U=v[_=O+L*y[2]+M*y[1]+k*y[0]],j=W+(V-W)*P,G=U+(v[_=O+B*y[2]+M*y[1]+k*y[0]]-U)*P;_=O+D*b[2]+R*b[1]+x*b[0],d.values[_]=j+(G-j)*z}}}else for(D=0;D<f;++D){var q;if((q=f>1?N*(l-1)+D*A:.5*(N+I)*(l-1))<0||q>l-1)for(O=0;O<c;O++)_=O+D*b[2]+R*b[1]+x*b[0],d.values[_]=i;else{var H=Math.round(q),K=Math.round(T);for(O=0;O<c;O++){var X=O+H*y[2]+K*y[1]+k*y[0],$=O+D*b[2]+R*b[1]+x*b[0];d.values[$]=v[X]}}}}}return d.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var a=Ir(0,t,n),i=a.sliceRank,o=a.numUpdates,s=a.sliceSize,u=a.strides,l=a.outputSize;return this.scatter(t,e,n,l,s,o,i,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],a=Cr(t,e),i=a[0],o=a[1],s=a[2],u=a[3];if(0===o)return un([],i,t.dtype);for(var l=new ut([o,s],t.dtype),c=this.readSync(e.dataId),p=this.readSync(t.dataId),h=0;h<o;h++){for(var f=[],d=0,m=0;m<r;m++){var g=c[h*r+m];d+=g*u[m],f.push(g)}if(d<0||d>=t.size/s)throw new Error("Invalid indices: "+f+" does not index into "+t.shape);for(var v=0;v<s;v++)l.values[h*s+v]=p[d*s+v]}return l.toTensor().reshape(i)},e.prototype.scatterND=function(t,e,n){var r=Ir(0,t,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=cn(0);return this.scatter(t,e,n,u,o,i,a,s,l,!0)},e.prototype.fill=function(t,e,n){var r=D(n=n||V(e),x(t));return r.fill(e),At.makeTensor(r,t,n,this)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){var e=D(t.dtype,x(t.shape));return this.makeOutput(e,t.shape,t.dtype)},e.prototype.linspace=function(t,e,n){return ia(t,e,n)},e.prototype.scatter=function(t,e,n,r,a,i,o,s,u,l){var c=[r/a,a],p=this.readSync(t.dataId),h=this.readSync(e.dataId);if(0===r)return un([],n,e.dtype);var f=new ut(c,e.dtype);f.values.fill(this.readSync(u.dataId)[0]);for(var d=0;d<i;d++){for(var m=[],g=0,v=0;v<o;v++){var y=p[d*o+v];m.push(y),g+=y*s[v]}if(g<0||g>=r/a)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<a;b++)l?f.values[g*a+b]+=h[d*a+b]:f.values[g*a+b]=0===e.rank?h[0]:h[d*a+b]}return f.toTensor().reshape(n)},e}(Wr);At.registerBackend("cpu",function(){return new Vc},1),c({kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,a=n;Pc(r,"square");for(var i=a.data.get(r.dataId).values,o=new Float32Array(i.length),s=0;s<i.length;++s){var u=i[s];o[s]=u*u}return{dataId:a.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}}),c({kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,a=n,i=new _o(r.shape,"return x * x;");return a.runWebGLProgram(i,[r],r.dtype)}});var Uc=function(){function t(){}return t.prototype.fetch=function(t,e){return fetch(t,e)},t.prototype.now=function(){return performance.now()},t.prototype.encode=function(t,e){if("utf-8"!==e&&"utf8"!==e)throw new Error("Browser's encoder only supports utf-8, but got "+e);return null==this.textEncoder&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)},t.prototype.decode=function(t,e){return new TextDecoder(e).decode(t)},t}();o().get("IS_BROWSER")&&o().setPlatform("browser",new Uc);var jc,Gc=function(){function t(){this.util=require("util"),this.textEncoder=new this.util.TextEncoder}return t.prototype.fetch=function(t,e){return null!=o().global.fetch?o().global.fetch(t,e):(null==jc&&(jc=require("node-fetch")),jc(t,e))},t.prototype.now=function(){var t=process.hrtime();return 1e3*t[0]+t[1]/1e6},t.prototype.encode=function(t,e){if("utf-8"!==e&&"utf8"!==e)throw new Error("Node built-in encoder only supports utf-8, but got "+e);return this.textEncoder.encode(t)},t.prototype.decode=function(t,e){return 0===t.length?"":new this.util.TextDecoder(e).decode(t)},t}();o().get("IS_NODE")&&o().setPlatform("node",new Gc);var qc={float32:4,int32:4,uint16:2,uint8:1,bool:1},Hc=4;function Kc(t,e){for(var n={},r=0,a=function(e){var a=e.name,i=e.dtype,o=e.shape,s=x(o),u=void 0;if("quantization"in e){var l=e.quantization;if("uint8"!==l.dtype&&"uint16"!==l.dtype)throw new Error("Weight "+e.name+" has unknown quantization dtype "+l.dtype+". Supported quantization dtypes are: 'uint8' and 'uint16'.");var c=qc[l.dtype],p=t.slice(r,r+s*c),h="uint8"===l.dtype?new Uint8Array(p):new Uint16Array(p);if("float32"===i)u=Float32Array.from(h,function(t){return t*l.scale+l.min});else{if("int32"!==i)throw new Error("Unsupported dtype in weight '"+a+"': "+i);u=Int32Array.from(h,function(t){return Math.round(t*l.scale+l.min)})}r+=s*c}else if("string"===i){var f=x(e.shape);u=[];for(var d=0;d<f;d++){var m=new Uint32Array(t.slice(r,r+Hc))[0];r+=Hc;var g=new Uint8Array(t.slice(r,r+m));u.push(g),r+=m}}else{var v=qc[i];if(p=t.slice(r,r+s*v),"float32"===i)u=new Float32Array(p);else if("int32"===i)u=new Int32Array(p);else{if("bool"!==i)throw new Error("Unsupported dtype in weight '"+a+"': "+i);u=new Uint8Array(p)}r+=s*v}n[a]=un(u,o,i)},i=0,o=e;i<o.length;i++)a(o[i]);return n}var Xc="undefined"!=typeof Buffer&&("undefined"==typeof Blob||"undefined"==typeof atob||"undefined"==typeof btoa);function $c(t){return Xc?Buffer.byteLength(t):new Blob([t]).size}function Yc(t){var e=0;t.forEach(function(t){e+=t.byteLength});var n=new Uint8Array(e),r=0;return t.forEach(function(t){n.set(new Uint8Array(t),r),r+=t.byteLength}),n.buffer}function Jc(t){for(t=t.trim();t.endsWith("/");)t=t.slice(0,t.length-1);var e=t.split("/");return e[e.length-1]}function Zc(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:null==t.modelTopology?0:$c(JSON.stringify(t.modelTopology)),weightSpecsBytes:null==t.weightSpecs?0:$c(JSON.stringify(t.weightSpecs)),weightDataBytes:null==t.weightData?0:t.weightData.byteLength}}var Qc=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 a=[];return("load"===n?t.getInstance().loadRouters:t.getInstance().saveRouters).forEach(function(t){var n=t(e,r);null!==n&&a.push(n)}),a},t}(),tp="://",ep=function(){function t(){this.managers={}}return t.getInstance=function(){return null==t.instance&&(t.instance=new t),t.instance},t.registerManager=function(e,n){g(null!=e,function(){return"scheme must not be undefined or null."}),e.endsWith(tp)&&(e=e.slice(0,e.indexOf(tp))),g(e.length>0,function(){return"scheme must not be an empty string."});var r=t.getInstance();g(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 np(t){if(-1===t.indexOf(tp))throw new Error("The url string provided does not contain a scheme. Supported schemes are: "+ep.getSchemes().join(","));return{scheme:t.split(tp)[0],path:t.split(tp)[1]}}function rp(t,e,n){return void 0===n&&(n=!1),r(this,void 0,void 0,function(){var r,i,o,s,u,l,c,p,h;return a(this,function(a){switch(a.label){case 0:return g(t!==e,function(){return"Old path and new path are the same: '"+t+"'"}),g((r=Qc.getLoadHandlers(t)).length>0,function(){return"Copying failed because no load handler is found for source URL "+t+"."}),g(r.length<2,function(){return"Copying failed because more than one ("+r.length+") load handlers for source URL "+t+"."}),i=r[0],g((o=Qc.getSaveHandlers(e)).length>0,function(){return"Copying failed because no save handler is found for destination URL "+e+"."}),g(o.length<2,function(){return"Copying failed because more than one ("+r.length+") save handlers for destination URL "+e+"."}),s=o[0],u=np(t).scheme,l=np(t).path,c=u===np(t).scheme,[4,i.load()];case 1:return p=a.sent(),n&&c?[4,ep.getManager(u).removeModel(l)]:[3,3];case 2:a.sent(),a.label=3;case 3:return[4,s.save(p)];case 4:return h=a.sent(),!n||c?[3,6]:[4,ep.getManager(u).removeModel(l)];case 5:a.sent(),a.label=6;case 6:return[2,h.modelArtifactsInfo]}})})}var ap="models_store",ip="model_info_store";function op(){if(!o().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");var t=window,e=t.indexedDB||t.mozIndexedDB||t.webkitIndexedDB||t.msIndexedDB||t.shimIndexedDB;if(null==e)throw new Error("The current browser does not appear to support IndexedDB.");return e}function sp(t){var e=t.result;e.createObjectStore(ap,{keyPath:"modelPath"}),e.createObjectStore(ip,{keyPath:"modelPath"})}var up=function(){function t(t){if(this.indexedDB=op(),null==t||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}return t.prototype.save=function(t){return r(this,void 0,void 0,function(){return a(this,function(e){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return[2,this.databaseAction(this.modelPath,t)]})})},t.prototype.load=function(){return r(this,void 0,void 0,function(){return a(this,function(t){return[2,this.databaseAction(this.modelPath)]})})},t.prototype.databaseAction=function(t,e){var n=this;return new Promise(function(t,r){var a=n.indexedDB.open("tensorflowjs",1);a.onupgradeneeded=function(){return sp(a)},a.onsuccess=function(){var i=a.result;if(null==e){var o=i.transaction(ap,"readonly"),s=o.objectStore(ap).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return i.close(),r(new Error("Cannot find model with path '"+n.modelPath+"' in IndexedDB."));t(s.result.modelArtifacts)},s.onerror=function(t){return i.close(),r(s.error)},o.oncomplete=function(){return i.close()}}else{var u,l=Zc(e),c=i.transaction(ip,"readwrite"),p=c.objectStore(ip),h=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});h.onsuccess=function(){var a=(u=i.transaction(ap,"readwrite")).objectStore(ap).put({modelPath:n.modelPath,modelArtifacts:e,modelArtifactsInfo:l});a.onsuccess=function(){return t({modelArtifactsInfo:l})},a.onerror=function(t){var e=(p=c.objectStore(ip)).delete(n.modelPath);e.onsuccess=function(){return i.close(),r(a.error)},e.onerror=function(t){return i.close(),r(a.error)}}},h.onerror=function(t){return i.close(),r(h.error)},c.oncomplete=function(){null==u?i.close():u.oncomplete=function(){return i.close()}}}},a.onerror=function(t){return r(a.error)}})},t.URL_SCHEME="indexeddb://",t}(),lp=function(t){return o().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(up.URL_SCHEME)?(e=t.slice(up.URL_SCHEME.length),new up(e)):null;var e};Qc.registerSaveRouter(lp),Qc.registerLoadRouter(lp);var cp=function(){function t(){this.indexedDB=op()}return t.prototype.listModels=function(){return r(this,void 0,void 0,function(){var t=this;return a(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return sp(r)},r.onsuccess=function(){var t=r.result,a=t.transaction(ip,"readonly"),i=a.objectStore(ip).getAll();i.onsuccess=function(){for(var t={},n=0,r=i.result;n<r.length;n++){var a=r[n];t[a.modelPath]=a.modelArtifactsInfo}e(t)},i.onerror=function(e){return t.close(),n(i.error)},a.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return r(this,void 0,void 0,function(){var e=this;return a(this,function(n){var r;return t=(r=t).startsWith(up.URL_SCHEME)?r.slice(up.URL_SCHEME.length):r,[2,new Promise(function(n,r){var a=e.indexedDB.open("tensorflowjs",1);a.onupgradeneeded=function(){return sp(a)},a.onsuccess=function(){var e,i=a.result,o=i.transaction(ip,"readwrite"),s=o.objectStore(ip),u=s.get(t);u.onsuccess=function(){if(null==u.result)return i.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var a=s.delete(t),o=function(){var a=(e=i.transaction(ap,"readwrite")).objectStore(ap).delete(t);a.onsuccess=function(){return n(u.result.modelArtifactsInfo)},a.onerror=function(t){return r(u.error)}};a.onsuccess=o,a.onerror=function(t){return o(),i.close(),r(u.error)}},u.onerror=function(t){return i.close(),r(u.error)},o.oncomplete=function(){null==e?i.close():e.oncomplete=function(){return i.close()}}},a.onerror=function(t){return r(a.error)}})]})})},t}();if(o().getBool("IS_BROWSER"))try{ep.registerManager(up.URL_SCHEME,new cp)}catch(e){}var pp="/",hp="tensorflowjs_models",fp="info",dp="model_topology",mp="weight_specs",gp="weight_data",vp="model_metadata";function yp(t){return{info:[hp,t,fp].join(pp),topology:[hp,t,dp].join(pp),weightSpecs:[hp,t,mp].join(pp),weightData:[hp,t,gp].join(pp),modelMetadata:[hp,t,vp].join(pp)}}function bp(t){var e=t.split(pp);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(pp)}var xp=function(){function t(t){if(!o().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=yp(this.modelPath)}return t.prototype.save=function(t){return r(this,void 0,void 0,function(){var e,n,r;return a(this,function(a){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),r=Zc(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,(i=t.weightData,Xc?Buffer.from(i).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(i))))),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 i;return[2]})})},t.prototype.load=function(){return r(this,void 0,void 0,function(){var t,e,n,r,i,o,s;return a(this,function(a){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!=(i=this.LS.getItem(this.keys.modelMetadata))&&(o=JSON.parse(i),e.format=o.format,e.generatedBy=o.generatedBy,e.convertedBy=o.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(Xc){var e=Buffer.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var n=atob(t),r=new Uint8Array(n.length),a=0;a<n.length;++a)r.set([n.charCodeAt(a)],a);return r.buffer}(s),[2,e]})})},t.URL_SCHEME="localstorage://",t}(),wp=function(t){return o().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(xp.URL_SCHEME)?(e=t.slice(xp.URL_SCHEME.length),new xp(e)):null;var e};Qc.registerSaveRouter(wp),Qc.registerLoadRouter(wp);var Cp=function(){function t(){g(o().getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),g(void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return t.prototype.listModels=function(){return r(this,void 0,void 0,function(){var t,e,n,r,i,o;return a(this,function(a){for(t={},e=hp+pp,n=pp+fp,r=0;r<this.LS.length;++r)(i=this.LS.key(r)).startsWith(e)&&i.endsWith(n)&&(o=bp(i),t[o]=JSON.parse(this.LS.getItem(i)));return[2,t]})})},t.prototype.removeModel=function(t){return r(this,void 0,void 0,function(){var e,n;return a(this,function(r){var a;if(t=(a=t).startsWith(xp.URL_SCHEME)?a.slice(xp.URL_SCHEME.length):a,e=yp(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(o().getBool("IS_BROWSER"))try{ep.registerManager(xp.URL_SCHEME,new Cp)}catch(e){}var Np="model",Sp=".json",Ip=".weights.bin";function kp(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var Ep=function(){function t(e){if(!o().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e=Np),this.modelTopologyFileName=e+Sp,this.weightDataFileName=e+Ip}return t.prototype.save=function(t){return r(this,void 0,void 0,function(){var e,n,r,i,o,s;return a(this,function(a){switch(a.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},i=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),(o=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,o.href=i,[4,kp(function(){return o.dispatchEvent(new MouseEvent("click"))})];case 2:return a.sent(),null==t.weightData?[3,4]:((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,[4,kp(function(){return s.dispatchEvent(new MouseEvent("click"))})]);case 3:a.sent(),a.label=4;case 4:return[2,{modelArtifactsInfo:Zc(t)}]}})})},t.URL_SCHEME="downloads://",t}(),Ap=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return t.prototype.load=function(){return r(this,void 0,void 0,function(){var t,e,n=this;return a(this,function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(r,a){var i=new FileReader;i.onload=function(i){var o=JSON.parse(i.target.result),s=o.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=o.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,e)}catch(t){return void a(t)}var c=[],p=[],h=[];u.forEach(function(t){t.paths.forEach(function(t){p.push(t),h.push(null)}),c.push.apply(c,t.weights)}),u.forEach(function(t){t.paths.forEach(function(t){var e=new FileReader;e.onload=function(e){var n=e.target.result,a=p.indexOf(t);h[a]=n,-1===h.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:Yc(h)})},e.onerror=function(e){return a("Failed to weights data from file of path '"+t+"'.")},e.readAsArrayBuffer(l[t])})})}else a(new Error("weightManifest field is missing from file "+t.name))}else a(new Error("modelTopology field is missing from file "+t.name))},i.onerror=function(e){return a("Failed to read model topology and weights manifest JSON from file '"+t.name+"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.")},i.readAsText(t)})]})})},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map(function(t){return Jc(t.name)}),a={},i=0,o=t;i<o.length;i++)o[i].paths.forEach(function(t){var i=Jc(t);if(-1!==n.indexOf(i))throw new Error("Duplicate file basename found in weights manifest: '"+i+"'");if(n.push(i),-1===r.indexOf(i))throw new Error("Weight file with basename '"+i+"' is not provided.");a[t]=e[r.indexOf(i)]});if(n.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest ("+n.length+") and the number of weight files provided ("+e.length+").");return a},t}();function Rp(t,e,n,r){!function(t){g(null!=t&&Array.isArray(t)&&t.length>0,function(){return"promises must be a none empty array"})}(t),function(t,e){g(t>=0&&t<=1,function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t}),g(e>=0&&e<=1,function(){return"Progress fraction must be in range [0, 1], but got endFraction "+e}),g(e>=t,function(){return"startFraction must be no more than endFraction, but got startFraction "+t+" and endFraction "+e})}(n=null==n?0:n,r=null==r?1:r);var a=0;return Promise.all(t.map(function(i){return i.then(function(i){var o=n+ ++a/t.length*(r-n);return e(o),i}),i}))}function Tp(t,e){return r(this,void 0,void 0,function(){var n,r,i,s,u,l,c,p,h;return a(this,function(a){switch(a.label){case 0:return null==e&&(e={}),n=null==e.fetchFunc?o().platform.fetch:e.fetchFunc,r=t.map(function(t){return n(t,e.requestInit,{isBinary:!0})}),i=0,s=.5,null!=e.onProgress?[3,2]:[4,Promise.all(r)];case 1:return u=a.sent(),[3,4];case 2:return[4,Rp(r,e.onProgress,i,s)];case 3:u=a.sent(),a.label=4;case 4:return l=u.map(function(t){return t.arrayBuffer()}),c=.5,p=1,null!=e.onProgress?[3,6]:[4,Promise.all(l)];case 5:return h=a.sent(),[3,8];case 6:return[4,Rp(l,e.onProgress,c,p)];case 7:h=a.sent(),a.label=8;case 8:return[2,h]}})})}function Dp(t){var e=this;return function(n,i,o){return void 0===i&&(i=""),r(e,void 0,void 0,function(){var e,r,s,u,l,c,p,h,f,d;return a(this,function(a){switch(a.label){case 0:if(e=n.map(function(){return!1}),r={},s=null!=o?o.map(function(){return!1}):[],u=[],n.forEach(function(t,n){var a=0;t.weights.forEach(function(t){var i="quantization"in t?t.quantization.dtype:t.dtype,l=qc[i]*x(t.shape),c=function(){e[n]=!0,null==r[n]&&(r[n]=[]),r[n].push({manifestEntry:t,groupOffset:a,sizeBytes:l})};null!=o?o.forEach(function(e,n){e===t.name&&(c(),s[n]=!0)}):c(),u.push(t.name),a+=l})}),!s.every(function(t){return t}))throw l=o.filter(function(t,e){return!s[e]}),new Error("Could not find weights in manifest with names: "+l.join(", ")+". \nManifest JSON has weights with names: "+u.join(", ")+".");return c=e.reduce(function(t,e,n){return e&&t.push(n),t},[]),p=[],c.forEach(function(t){n[t].paths.forEach(function(t){var e=i+(i.endsWith("/")?"":"/")+t;p.push(e)})}),[4,t(p)];case 1:return h=a.sent(),f={},d=0,c.forEach(function(t){for(var e=n[t].paths.length,a=0,i=0;i<e;i++)a+=h[d+i].byteLength;for(var o=new ArrayBuffer(a),s=new Uint8Array(o),u=0,l=0;l<e;l++){var c=new Uint8Array(h[d+l]);s.set(c,u),u+=c.byteLength}r[t].forEach(function(t){var e=Kc(o.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)f[n]=e[n]}),d+=e}),[2,f]}})})}}Qc.registerSaveRouter(function(t){return o().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Ep.URL_SCHEME)?(void 0===(e=t.slice(Ep.URL_SCHEME.length))&&(e="model"),new Ep(e)):null;var e});var Op=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null!=e.fetchFunc?(g("function"==typeof e.fetchFunc,function(){return"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"}),this.fetch=e.fetchFunc):this.fetch=o().platform.fetch,g(null!=t&&t.length>0,function(){return"URL path for http must not be null, undefined or empty."}),Array.isArray(t)&&g(2===t.length,function(){return"URL paths for http must have a length of 2, (actual length is "+t.length+")."}),this.path=t,null!=e.requestInit&&null!=e.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}return t.prototype.save=function(t){return r(this,void 0,void 0,function(){var e,n,r,i;return a(this,function(a){switch(a.label){case 0:if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");return(e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:n},e.body.append("model.json",new Blob([JSON.stringify(r)],{type:"application/json"}),"model.json"),null!=t.weightData&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin"),[4,this.fetch(this.path,e)];case 1:if((i=a.sent()).ok)return[2,{modelArtifactsInfo:Zc(t),responses:[i]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".")}})})},t.prototype.load=function(){return r(this,void 0,void 0,function(){var t,e,n,r,i,o,s,u;return a(this,function(a){switch(a.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(!(t=a.sent()).ok)throw new Error("Request to "+this.path+" failed with status code "+t.status+". Please verify this URL points to the model JSON of the model to load.");a.label=2;case 2:return a.trys.push([2,4,,5]),[4,t.json()];case 3:return e=a.sent(),[3,5];case 4:throw a.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(r=e.modelTopology,i=e.weightsManifest,null==r&&null==i)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==i?[3,7]:[4,this.loadWeights(i)];case 6:u=a.sent(),o=u[0],s=u[1],a.label=7;case 7:return[2,{modelTopology:r,weightSpecs:o,weightData:s}]}})})},t.prototype.loadWeights=function(t){return r(this,void 0,void 0,function(){var e,n,r,i,o,s,u,l,c,p,h;return a(this,function(a){switch(a.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?");return[t.substring(0,e)+"/",n>e?t.substring(n):""]}(e),r=n[0],i=n[1],o=this.weightPathPrefix||r,s=[],u=0,l=t;u<l.length;u++)c=l[u],s.push.apply(s,c.weights);return p=[],t.forEach(function(t){t.paths.forEach(function(t){p.push(o+t+i)})}),[4,Tp(p,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 1:return h=a.sent(),[2,[s,Yc(h)]]}})})},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function _p(t){return null!=t.match(Op.URL_SCHEME_REGEX)}var Fp=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every(function(t){return _p(t)}):_p(t))?Mp(t,{onProgress:e}):null};function Mp(t,e){return new Op(t,e)}Qc.registerSaveRouter(Fp),Qc.registerLoadRouter(Fp);var zp=function(){function t(t){this.modelArtifacts=t}return t.prototype.load=function(){return r(this,void 0,void 0,function(){return a(this,function(t){return[2,this.modelArtifacts]})})},t}(),Lp=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return r(this,void 0,void 0,function(){return a(this,function(e){return[2,this.saveHandler(t)]})})},t}(),Bp=Object.freeze({browserFiles:function(t){return new Ap(t)},browserHTTPRequest:function(t,e){return Mp(t,e)},concatenateArrayBuffers:Yc,decodeWeights:Kc,encodeWeights:function(t,e){return r(this,void 0,void 0,function(){var n,i,o,s,u,l=this;return a(this,function(c){switch(c.label){case 0:for(n=[],i=[],o=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t),s=function(s){var u=o[s],c=Array.isArray(t)?t[s].tensor:t[u];if("float32"!==c.dtype&&"int32"!==c.dtype&&"bool"!==c.dtype&&"string"!==c.dtype)throw new Error("Unsupported dtype in weight '"+u+"': "+c.dtype);var p={name:u,shape:c.shape,dtype:c.dtype};if("string"===c.dtype){var h=new Promise(function(t){return r(l,void 0,void 0,function(){var e,n,r,i,o,s,u;return a(this,function(a){switch(a.label){case 0:return[4,c.bytes()];case 1:for(e=a.sent(),n=e.reduce(function(t,e){return t+e.length},0)+Hc*e.length,r=new Uint8Array(n),i=0,o=0;o<e.length;o++)s=e[o],u=new Uint8Array(new Uint32Array([s.length]).buffer),r.set(u,i),i+=Hc,r.set(s,i),i+=s.length;return t(r),[2]}})})});i.push(h)}else i.push(c.data());null!=e&&(p.group=e),n.push(p)},u=0;u<o.length;++u)s(u);return[4,Promise.all(i)];case 1:return[2,{data:function(t){if(null===t)throw new Error("Invalid input value: "+JSON.stringify(t));var e=0,n=[];t.forEach(function(t){if(e+=t.byteLength,n.push(t.byteLength===t.buffer.byteLength?t:new t.constructor(t)),!(t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+t.constructor.name)});var r=new Uint8Array(e),a=0;return n.forEach(function(t){r.set(new Uint8Array(t.buffer),a),a+=t.byteLength}),r.buffer}(c.sent()),specs:n}]}})})},fromMemory:function(t,e,n,r){return 1===arguments.length?null!=t.modelTopology||null!=t.weightSpecs?new zp(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new zp({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new zp({modelTopology:t,weightSpecs:e,weightData:n,trainingConfig:r}))},getLoadHandlers:function(t,e){return Qc.getLoadHandlers(t,e)},getModelArtifactsInfoForJSON:Zc,getSaveHandlers:function(t){return Qc.getSaveHandlers(t)},http:Mp,isHTTPScheme:_p,loadWeights:function(t,e,n,i){return void 0===e&&(e=""),r(this,void 0,void 0,function(){return a(this,function(r){return[2,Dp(function(t){return Tp(t,{requestInit:i})})(t,e,n)]})})},registerLoadRouter:function(t){return Qc.registerLoadRouter(t)},registerSaveRouter:function(t){return Qc.registerSaveRouter(t)},weightsLoaderFactory:Dp,withSaveHandler:function(t){return new Lp(t)},copyModel:function(t,e){return r(this,void 0,void 0,function(){return a(this,function(n){return[2,rp(t,e,!1)]})})},listModels:function(){return r(this,void 0,void 0,function(){var t,e,n,r,i,o,s;return a(this,function(a){switch(a.label){case 0:t=ep.getSchemes(),e={},n=0,r=t,a.label=1;case 1:return n<r.length?(i=r[n],[4,ep.getManager(i).listModels()]):[3,4];case 2:for(s in o=a.sent())e[i+tp+s]=o[s];a.label=3;case 3:return n++,[3,1];case 4:return[2,e]}})})},moveModel:function(t,e){return r(this,void 0,void 0,function(){return a(this,function(n){return[2,rp(t,e,!0)]})})},removeModel:function(t){return r(this,void 0,void 0,function(){var e;return a(this,function(n){return e=np(t),[2,ep.getManager(e.scheme).removeModel(e.path)]})})}}),Pp=rn({confusionMatrix_:function(t,e,n){var r=qe(t,"labels","confusionMatrix"),a=qe(e,"predictions","confusionMatrix");g(null==n||n>0&&Number.isInteger(n),function(){return"If provided, numClasses must be a positive integer, but got "+n}),g(1===r.rank,function(){return"Expected the rank of labels to be 1, but got "+r.rank}),g(1===a.rank,function(){return"Expected the rank of predictions to be 1, but got "+a.rank}),g(r.shape[0]===a.shape[0],function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+a.shape[0]+". Labels and predictions should have the same number of elements."}),g(n>0&&Number.isInteger(n),function(){return"numClasses is required to be a positive integer, but got "+n});var i=Qn(r.asType("int32"),n),o=Qn(a.asType("int32"),n);return i.transpose().matMul(o).asType("int32")}}),Wp=Object.freeze({confusionMatrix:Pp}),Vp=rn({fromPixels_:function(t,e){if(void 0===e&&(e=3),e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");var n="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement;if(n&&n&&t.readyState<2)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.");return At.fromPixels(t,e)}}),Up=Object.freeze({toPixels:function(t,e){return r(this,void 0,void 0,function(){var n,r,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,S,I;return a(this,function(a){switch(a.label){case 0:if(n=qe(t,"img","toPixels"),t instanceof ht||(n=n.toInt()),2!==n.rank&&3!==n.rank)throw new Error("toPixels only supports rank 2 or 3 tensors, got rank "+n.rank+".");if(r=n.shape.slice(0,2),i=r[0],o=r[1],(s=2===n.rank?1:n.shape[2])>4||2===s)throw new Error("toPixels only supports depth of size 1, 3 or 4 but got "+s);return[4,n.data()];case 1:return u=a.sent(),l=n.min(),c=n.max(),[4,Promise.all([l.data(),c.data()])];case 2:if(p=a.sent(),h=p[0],f=p[1],d=h[0],m=f[0],l.dispose(),c.dispose(),"float32"===n.dtype){if(d<0||m>1)throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but got range ["+d+" - "+m+"].")}else{if("int32"!==n.dtype)throw new Error("Unsupported type for toPixels: "+n.dtype+". Please use float32 or int32 tensors.");if(d<0||m>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+d+" - "+m+"].")}for(g="float32"===n.dtype?255:1,v=new Uint8ClampedArray(o*i*4),y=0;y<i*o;++y)b=void 0,x=void 0,w=void 0,C=void 0,1===s?(b=u[y]*g,x=u[y]*g,w=u[y]*g,C=255):3===s?(b=u[3*y]*g,x=u[3*y+1]*g,w=u[3*y+2]*g,C=255):4===s&&(b=u[4*y]*g,x=u[4*y+1]*g,w=u[4*y+2]*g,C=u[4*y+3]*g),v[0+(N=4*y)]=Math.round(b),v[N+1]=Math.round(x),v[N+2]=Math.round(w),v[N+3]=Math.round(C);return null!=e&&(e.width=o,e.height=i,S=e.getContext("2d"),I=new ImageData(v,o,i),S.putImageData(I,0,0)),n!==t&&n.dispose(),[2,v]}})})},fromPixels:Vp}),jp=function(){function t(){}return t.prototype.getClassName=function(){return this.constructor.className},t.fromConfig=function(t,e){return new t(e)},t}(),Gp=function(){function t(){this.classNameMap={}}return t.getMap=function(){return null==t.instance&&(t.instance=new t),t.instance},t.register=function(e){t.getMap().classNameMap[e.className]=[e,e.fromConfig]},t}();function qp(t){g(null!=t.className,function(){return"Class being registered does not have the static className property defined."}),g("string"==typeof t.className,function(){return"className is required to be a string, but got type "+typeof t.className}),g(t.className.length>0,function(){return"Class being registered has an empty-string as its className, which is disallowed."}),Gp.register(t)}var Hp=Object.freeze({Serializable:jp,SerializationMap:Gp,registerClass:qp}),Kp=.001,Xp=.1;function $p(){return 32===At.backend.floatPrecision()?Kp:Xp}function Yp(t,e,n){var r=!0;if((M(t)||M(e))&&(r=!1),M(t)&&M(e)&&(r=!0),r){var a=t.constructor.name,i=e.constructor.name;if(a!==i)throw new Error("Arrays are of different type. Actual: "+a+". Expected: "+i)}if(Array.isArray(t)&&Array.isArray(e)){var o=je(t),s=je(e);if(!w(o,s))throw new Error("Arrays have different shapes. Actual: ["+o+"]. Expected: ["+s+"]")}var u=M(t)?t:b(t),l=M(e)?e:b(e);if(u.length!==l.length)throw new Error("Arrays have different lengths actual: "+u.length+" vs expected: "+l.length+".\nActual:   "+u+".\nExpected: "+l+".");for(var c=0;c<l.length;++c){var p=u[c],h=l[c];if(!n(p,h))throw new Error("Arrays differ: actual["+c+"] = "+p+", expected["+c+"] = "+h+".\nActual:   "+u+".\nExpected: "+l+".")}}function Jp(t,e,n){return!isFinite(t)&&!isFinite(e)||!(isNaN(t)||isNaN(e)||Math.abs(t-e)>n)}var Zp=Object.freeze({TEST_EPSILON_FLOAT16:Xp,expectArraysClose:function(t,e,n){return null==n&&(n=$p()),Yp(t,e,function(t,e){return Jp(t,e,n)})},testEpsilon:$p,expectPromiseToFail:function(t,e){t().then(function(){return e.fail()},function(){return e()})},expectArraysEqual:function(t,e){var n="string"==typeof e||"number"==typeof e||"boolean"==typeof e?[e]:e;return B(t)||B(t[0])||B(e)||B(e[0])?Yp(t,n,function(t,e){return t==e}):Yp(t,e,function(t,e){return Jp(t,e,0)})},expectNumbersClose:function(t,e,n){if(null==n&&(n=$p()),!Jp(t,e,n))throw new Error("Numbers differ: actual === "+t+", expected === "+e)},expectValuesInRange:function(t,e,n){for(var r=0;r<t.length;r++)if(t[r]<e||t[r]>n)throw new Error("Value out of range:"+t[r]+" low: "+e+", high: "+n)},expectArrayBuffersEqual:function(t,e){expect(new Float32Array(t)).toEqual(new Float32Array(e))}}),Qp=Object.freeze({gpgpu_util:qi,webgl_util:Fe,forceHalfFloat:function(){o().set("WEBGL_FORCE_F16_TEXTURES",!0)},MathBackendWebGL:es,setWebGLContext:zt,GPGPUContext:Hi}),th=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.minimize=function(t,e,n){void 0===e&&(e=!1);var r=this.computeGradients(t,n),a=r.value,i=r.grads;if(null!=n){var o=n.map(function(t){return{name:t.name,tensor:i[t.name]}});this.applyGradients(o)}else this.applyGradients(i);return Pe(i),e?a:(a.dispose(),null)},Object.defineProperty(e.prototype,"iterations",{get:function(){return 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 Fr(t,e)},e.prototype.dispose=function(){null!=this.iterations_&&Pe(this.iterations_)},e.prototype.saveIterations=function(){return r(this,void 0,void 0,function(){return a(this,function(t){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:cn(this.iterations_,"int32")}]})})},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return a(this,function(t){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return a(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return r(this,void 0,void 0,function(){var e;return a(this,function(n){switch(n.label){case 0:return e=this,[4,t[0].tensor.data()];case 1:return e.iterations_=n.sent()[0],[2,t.slice(1)]}})})},e}(jp);Object.defineProperty(th,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var eh=function(t){function e(e,n,r){void 0===r&&(r=null);var a=t.call(this)||this;return a.learningRate=e,a.rho=n,a.epsilon=r,a.accumulatedGrads=[],a.accumulatedUpdates=[],null==r&&(a.epsilon=At.backend.epsilon()),a}return n(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 a=At.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:Be(function(){return Sn(a).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:Be(function(){return Sn(a).variable(!1)})});var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var o=e.accumulatedGrads[r].variable,s=e.accumulatedUpdates[r].variable;Be(function(){var t=o.mul(e.rho).add(i.square().mul(1-e.rho)),n=s.add(e.epsilon).sqrt().div(o.add(e.epsilon).sqrt()).mul(i),r=s.mul(e.rho).add(n.square().mul(1-e.rho));o.assign(t),s.assign(r);var u=n.mul(-e.learningRate).add(a);a.assign(u)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedUpdates&&(Pe(this.accumulatedGrads.map(function(t){return t.variable})),Pe(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){var t;return a(this,function(e){switch(e.label){case 0:return t=this.accumulatedGrads.concat(this.accumulatedUpdates),[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 r(this,void 0,void 0,function(){var e;return a(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="Adadelta",e}(th);qp(eh);var nh=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 n(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 a=At.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:Be(function(){return xn(a.shape,e.initialAccumulatorValue).variable(!1)})});var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var o=e.accumulatedGrads[r].variable;Be(function(){var t=o.add(i.square());o.assign(t);var n=i.div(t.add(At.backend.epsilon()).sqrt()).mul(-e.learningRate).add(a);a.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&Pe(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return a(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulatedGrads.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return a(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulatedGrads=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},e.fromConfig=function(t,e){return new t(e.learningRate,e.initialAccumulatorValue)},e.className="Adagrad",e}(th);qp(nh);var rh=function(t){function e(e,n,r,a){void 0===a&&(a=null);var i=t.call(this)||this;return i.learningRate=e,i.beta1=n,i.beta2=r,i.epsilon=a,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],Be(function(){i.accBeta1=cn(n).variable(),i.accBeta2=cn(r).variable()}),null==a&&(i.epsilon=At.backend.epsilon()),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Be(function(){var r=Cu(1,e.accBeta1),a=Cu(1,e.accBeta2);n.forEach(function(n,i){var o=At.registeredVariables[n];null==e.accumulatedFirstMoment[i]&&(e.accumulatedFirstMoment[i]={originalName:n+"/m",variable:Be(function(){return Sn(o).variable(!1)})}),null==e.accumulatedSecondMoment[i]&&(e.accumulatedSecondMoment[i]={originalName:n+"/v",variable:Be(function(){return Sn(o).variable(!1)})});var s=Array.isArray(t)?t[i].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[i].variable,l=e.accumulatedSecondMoment[i].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2).add(s.square().mul(1-e.beta2)),h=c.div(r),f=p.div(a);u.assign(c),l.assign(p);var d=h.div(f.sqrt().add(e.epsilon)).mul(-e.learningRate).add(o);o.assign(d)}}),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&&Pe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&Pe(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){var t;return a(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 r(this,void 0,void 0,function(){var e,n=this;return a(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),Be(function(){n.accBeta1.assign(yu(n.beta1,n.iterations_+1)),n.accBeta2.assign(yu(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}(th);qp(rh);var ah=function(t){function e(e,n,r,a,i){void 0===a&&(a=null),void 0===i&&(i=0);var o=t.call(this)||this;return o.learningRate=e,o.beta1=n,o.beta2=r,o.epsilon=a,o.decay=i,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],Be(function(){o.iteration=cn(0).variable(),o.accBeta1=cn(n).variable()}),null==a&&(o.epsilon=At.backend.epsilon()),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Be(function(){var r=Cu(1,e.accBeta1),a=su(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,i){var o=At.registeredVariables[n];null==e.accumulatedFirstMoment[i]&&(e.accumulatedFirstMoment[i]={originalName:n+"/m",variable:Sn(o).variable(!1)}),null==e.accumulatedWeightedInfNorm[i]&&(e.accumulatedWeightedInfNorm[i]={originalName:n+"/v",variable:Sn(o).variable(!1)});var s=Array.isArray(t)?t[i].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[i].variable,l=e.accumulatedWeightedInfNorm[i].variable,c=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=l.mul(e.beta2),h=s.abs(),f=p.maximum(h);u.assign(c),l.assign(f);var d=a.div(r).mul(c.div(f.add(e.epsilon))).add(o);o.assign(d)}}),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&&Pe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&Pe(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return a(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return a(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}(th);qp(ah);var ih=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return n(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 a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=At.registeredVariables[n];Be(function(){var t=e.c.mul(a).add(i);i.assign(t)})}}),this.incrementIterations()},e.prototype.setLearningRate=function(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=We(cn(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return a(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return r(this,void 0,void 0,function(){return a(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:if(0!==(t=e.sent()).length)throw new Error("SGD optimizer does not have settable weights.");return[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate}},e.fromConfig=function(t,e){return new t(e.learningRate)},e.className="SGD",e}(th);qp(ih);var oh=function(t){function e(e,n,r){void 0===r&&(r=!1);var a=t.call(this,e)||this;return a.learningRate=e,a.momentum=n,a.useNesterov=r,a.accumulations=[],a.m=cn(a.momentum),a}return n(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 a=At.registeredVariables[n];null==e.accumulations[r]&&(e.accumulations[r]={originalName:n+"/momentum",variable:Be(function(){return Sn(a).variable(!1)})});var i=e.accumulations[r].variable,o=Array.isArray(t)?t[r].tensor:t[n];null!=o&&Be(function(){var t,n=e.m.mul(i).add(o);t=e.useNesterov?e.c.mul(o.add(n.mul(e.m))).add(a):e.c.mul(n).add(a),i.assign(n),a.assign(t)})}),this.incrementIterations()},e.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&Pe(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){return a(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 r(this,void 0,void 0,function(){return a(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="Momentum",e}(ih);qp(oh);var sh=function(t){function e(e,n,r,a,i){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===a&&(a=null),void 0===i&&(i=!1);var o=t.call(this)||this;return o.learningRate=e,o.decay=n,o.momentum=r,o.epsilon=a,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=i,null==a&&(o.epsilon=At.backend.epsilon()),o}return n(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 a=At.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:Be(function(){return Sn(a).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:Be(function(){return Sn(a).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:Be(function(){return Sn(a).variable(!1)})});var i=Array.isArray(t)?t[r].tensor:t[n];if(null!=i){var o=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;Be(function(){var t=o.mul(e.decay).add(i.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(i.mul(1-e.decay)),l=s.mul(e.momentum).add(i.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));o.assign(t),n.assign(u),s.assign(l);var c=a.sub(l);a.assign(c)}else{var p=o.mul(e.decay).add(i.square().mul(1-e.decay));l=s.mul(e.momentum).add(i.mul(e.learningRate).div(p.add(e.epsilon).sqrt())),o.assign(p),s.assign(l),c=a.sub(l),a.assign(c)}})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&Pe(this.accumulatedMeanSquares.map(function(t){return t.variable})),null!=this.accumulatedMeanGrads&&this.centered&&Pe(this.accumulatedMeanGrads.map(function(t){return t.variable})),null!=this.accumulatedMoments&&Pe(this.accumulatedMoments.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return r(this,void 0,void 0,function(){var t;return a(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 r(this,void 0,void 0,function(){var e;return a(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}(th);qp(sh);var uh=function(){function t(){}return t.sgd=function(t){return new ih(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new oh(t,e,n)},t.rmsprop=function(t,e,n,r,a){return void 0===e&&(e=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===a&&(a=!1),new sh(t,e,n,r,a)},t.adam=function(t,e,n,r){return void 0===t&&(t=.001),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new rh(t,e,n,r)},t.adadelta=function(t,e,n){return void 0===t&&(t=.001),void 0===e&&(e=.95),void 0===n&&(n=null),new eh(t,e,n)},t.adamax=function(t,e,n,r,a){return void 0===t&&(t=.002),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===a&&(a=0),new ah(t,e,n,r,a)},t.adagrad=function(t,e){return void 0===e&&(e=.1),new nh(t,e)},t}(),lh={sgd:uh.sgd,momentum:uh.momentum,adadelta:uh.adadelta,adagrad:uh.adagrad,rmsprop:uh.rmsprop,adamax:uh.adamax,adam:uh.adam},ch="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(t){return t()};function ph(){return new Promise(function(t){return ch(function(){return t()})})}ct=Bc;var hh=function(t,e){return(hh=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function fh(t,e){function n(){this.constructor=t}hh(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}var dh,mh=function(){return(mh=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var a in e=arguments[n])Object.prototype.hasOwnProperty.call(e,a)&&(t[a]=e[a]);return t}).apply(this,arguments)};function gh(t,e,n,r){return new(n||(n=Promise))(function(a,i){function o(t){try{u(r.next(t))}catch(t){i(t)}}function s(t){try{u(r.throw(t))}catch(t){i(t)}}function u(t){t.done?a(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function vh(t,e){var n,r,a,i,o={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(a=2&i[0]?r.return:i[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,i[1])).done)return a;switch(r=0,a&&(i=[2&i[0],a.value]),i[0]){case 0:case 1:a=i;break;case 4:return o.label++,{value:i[1],done:!1};case 5:o.label++,r=i[1],i=[0];continue;case 7:i=o.ops.pop(),o.trys.pop();continue;default:if(!(a=(a=o.trys).length>0&&a[a.length-1])&&(6===i[0]||2===i[0])){o=0;continue}if(3===i[0]&&(!a||i[1]>a[0]&&i[1]<a[3])){o.label=i[1];break}if(6===i[0]&&o.label<a[1]){o.label=a[1],a=i;break}if(a&&o.label<a[2]){o.label=a[2],o.ops.push(i);break}a[2]&&o.ops.pop(),o.trys.pop();continue}i=e.call(t,o)}catch(t){i=[6,t],r=0}finally{n=a=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}function yh(){return null==dh&&(dh=Ve().epsilon()),dh}var bh=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return fh(e,t),e}(Error),xh=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return fh(e,t),e}(Error),wh=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return fh(e,t),e}(Error),Ch=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return fh(e,t),e}(Error),Nh=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return fh(e,t),e}(Error);!function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}fh(e,t)}(Error);function Sh(t,e){if(Array.isArray(t)){for(var n=[],r=0;r<e;r++)n=n.concat(t);return n}return(n=new Array(e)).fill(t),n}function Ih(t,e){if(!t)throw new Nh(e)}function kh(t,e){for(var n=0,r=0,a=t;r<a.length;r++)a[r]===e&&n++;return n}function Eh(t){return 1===t.length?t[0]:t}function Ah(t){return Array.isArray(t)?t:[t]}function Rh(t){var e=t.replace(/(.)([A-Z][a-z0-9]+)/g,"$1_$2").replace(/([a-z])([A-Z])/g,"$1_$2").toLowerCase();return"_"!==e[0]?e:"private"+e}function Th(t){return t.length<=1?t:-1===t.indexOf("_")?t:t.replace(/[_]+(\w|$)/g,function(t,e){return e.toUpperCase()})}var Dh={};function Oh(t){if(null===t||void 0===t)return null;var e={};return e.className=t.getClassName(),e.config=t.getConfig(),e}function _h(t,e,n,r,a){var i,o,s;if(void 0===e&&(e={}),void 0===n&&(n={}),void 0===r&&(r="object"),void 0===a&&(a=!1),"string"==typeof t){var u=t,l=void 0;if(u in n)l=n[u];else if(u in Dh)l=Dh[u];else if(null==(l=e[u]))throw new wh("Unknown "+r+": "+t+". This may be due to one of the following reasons:\n1. The "+r+" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom "+r+" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().");return l}var c=t;if(null==c.className||null==c.config)throw new wh(r+": Improper config format: "+JSON.stringify(c)+".\n'className' and 'config' must set.");var p=c.className,h=void 0,f=void 0;if(p in n?(h=(i=n[p])[0],f=i[1]):p in Dh?(h=(o=Dh.className)[0],f=o[1]):p in e&&(h=(s=e[p])[0],f=s[1]),null==h)throw new wh("Unknown "+r+": "+p+". This may be due to one of the following reasons:\n1. The "+r+" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\n2. The custom "+r+" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().");if(null!=f){for(var d={},m=0,g=Object.keys(Dh);m<g.length;m++)d[C=g[m]]=Dh[C];for(var v=0,y=Object.keys(n);v<y.length;v++)d[C=y[v]]=n[C];c.config.customObjects=d;for(var b=mh({},Dh),x=0,w=Object.keys(n);x<w.length;x++){var C=w[x];Dh[C]=n[C]}!function t(e){if(null!=e&&"object"==typeof e)if(Array.isArray(e))e.forEach(function(e){return t(e)});else for(var n=0,r=Object.keys(e);n<r.length;n++){var a=r[n],i=e[a];null!=i&&"object"==typeof i&&(Array.isArray(i)||"ndarray"!==i.type||"number"!=typeof i.value?t(i):e[a]=i.value)}}(c.config);var N=f(h,c.config,n,a);return Dh=mh({},b),N}b=mh({},Dh);for(var S=0,I=Object.keys(n);S<I.length;S++)C=I[S],Dh[C]=n[C];return N=new h(c.config),Dh=mh({},b),N}function Fh(t,e){return-1*function(t,e){return t<e?-1:t>e?1:0}(t,e)}function Mh(t){if(null==t)return t;for(var e=[],n=0,r=t;n<r.length;n++){var a=r[n];-1===e.indexOf(a)&&e.push(a)}return e}function zh(t){if(null==t)throw new wh("Invalid value in obj: "+JSON.stringify(t));for(var e in t)if(t.hasOwnProperty(e))return!1;return!0}function Lh(t,e,n){if(null!=n&&t.indexOf(n)<0)throw new wh(n+" is not a valid "+e+".  Valid values are "+t+" or null/undefined.")}function Bh(t,e,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),Ih(n>=0),Ih(r>=n),Array.isArray(t)&&t.length>=n&&t.length<=r&&t.every(function(t){return typeof t===e})}function Ph(t,e){Array.isArray(t)?(Q.assert(t.length>0,function(){return e+" is unexpectedly an empty array."}),t.forEach(function(t,n){return Ph(t,"element "+(n+1)+" of "+e)})):Q.assert(Number.isInteger(t)&&t>0,function(){return"Expected "+e+" to be a positive integer, but got "+function t(e){return null===e?"null":Array.isArray(e)?"["+e.map(function(e){return t(e)}).join(",")+"]":"string"==typeof e?'"'+e+'"':""+e}(t)+"."})}function Wh(t){return"relu"===t?"relu":"linear"===t?"linear":"elu"===t?"elu":null}function Vh(t,e){return Be(function(){return _s(Dl(vu(t,t),e,!0))})}var Uh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.getConfig=function(){return{}},e}(Hp.Serializable),jh=function(t){function e(e){var n=t.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=e.maxValue?e.maxValue:n.defaultMaxValue,n.axis=null!=e.axis?e.axis:n.defaultAxis,n}return fh(e,t),e.prototype.apply=function(t){var e=this;return Be(function(){var n=Vh(t,e.axis),r=ps(n,0,e.maxValue);return gu(t,su(r,ru(yh(),n)))})},e.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},e.className="MaxNorm",e}(Uh);Hp.registerClass(jh);var Gh=function(t){function e(e){var n=t.call(this)||this;return n.defaultAxis=0,n.axis=null!=e.axis?e.axis:n.defaultAxis,n}return fh(e,t),e.prototype.apply=function(t){var e=this;return Be(function(){return su(t,ru(yh(),Vh(t,e.axis)))})},e.prototype.getConfig=function(){return{axis:this.axis}},e.className="UnitNorm",e}(Uh);Hp.registerClass(Gh);var qh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return zl(t)},e.className="NonNeg",e}(Uh);Hp.registerClass(qh);var Hh=function(t){function e(e){var n=t.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=e.minValue?e.minValue:n.defaultMinValue,n.maxValue=null!=e.maxValue?e.maxValue:n.defaultMaxValue,n.rate=null!=e.rate?e.rate:n.defaultRate,n.axis=null!=e.axis?e.axis:n.defaultAxis,n}return fh(e,t),e.prototype.apply=function(t){var e=this;return Be(function(){var n=Vh(t,e.axis),r=ru(gu(e.rate,ps(n,e.minValue,e.maxValue)),gu(1-e.rate,n));return gu(t,su(r,ru(yh(),n)))})},e.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},e.className="MinMaxNorm",e}(Uh);Hp.registerClass(Hh);var Kh={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Xh(t){return Oh(t)}function $h(t,e){return void 0===e&&(e={}),_h(t,Hp.SerializationMap.getMap().classNameMap,e,"constraint")}function Yh(t){return null==t?null:"string"==typeof t?$h({className:t in Kh?Kh[t]:t,config:{}}):t instanceof Uh?t:$h(t)}var Jh=Object.freeze({maxNorm:function(t){return new jh(t)},unitNorm:function(t){return new Gh(t)},nonNeg:function(){return new qh},minMaxNorm:function(t){return new Hh(t)}}),Zh=["channelsFirst","channelsLast"],Qh=["valid","same","causal"],tf=["max","avg"],ef=["sum","mul","concat","ave"],nf=new Map;function rf(t){Lh(Zh,"DataFormat",t)}function af(t){Lh(Qh,"PaddingMode",t)}function of(t){Lh(tf,"PoolMode",t)}var sf=[],uf="/";function lf(t,e){sf.push(t);try{var n=e();return sf.pop(),n}catch(t){throw sf.pop(),t}}function cf(t){if(!ff(t))throw new Error("Not a valid tensor name: '"+t+"'");return(0===sf.length?"":sf.join(uf)+uf)+t}function pf(t){if(!ff(t))throw new Error("Not a valid tensor name: '"+t+"'");nf.has(t)||nf.set(t,0);var e=nf.get(t);if(nf.set(t,nf.get(t)+1),e>0){var n=t+"_"+e;return nf.set(n,1),n}return t}var hf=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function ff(t){return!!t.match(hf)}function df(t){return t===parseInt(t.toString(),10)}function mf(t,e,n){null==e&&(e=0),null==n&&(n=t.length);for(var r=1,a=e;a<n;++a)r*=t[a];return r}function gf(t){return pn(t=Array.isArray(t)?new Float32Array(t):t)}function vf(t){return Rl(gf(t)).dataSync()[0]}function yf(t){return El(gf(t)).dataSync()[0]}function bf(t,e){if(e<t)throw new wh("end ("+e+") < begin ("+t+") is forbidden.");for(var n=[],r=t;r<e;++r)n.push(r);return n}function xf(t,e){return t.asType(e)}function wf(t,e){void 0===e&&(e=-1);var n=t.shape.slice();return e<0&&(e=n.length+e+1),n.splice(e,0,1),t.reshape(n)}function Cf(t,e,n){return Be(function(){switch(t.rank){case 1:return vl(t,e,n);case 2:return yl(t,[e,0],[n,t.shape[1]]);case 3:return bl(t,[e,0,0],[n,t.shape[1],t.shape[2]]);case 4:return xl(t,[e,0,0,0],[n,t.shape[1],t.shape[2],t.shape[3]]);case 5:return gl(t,[e,0,0,0,0],[n,t.shape[1],t.shape[2],t.shape[3],t.shape[4]]);case 6:return gl(t,[e,0,0,0,0,0],[n,t.shape[1],t.shape[2],t.shape[3],t.shape[4],t.shape[5]]);default:throw new wh("sliceAlongFirstAxis() received an unsupported tensor rank: "+t.rank)}})}function Nf(t,e,n){return Be(function(){switch(t.rank){case 1:return vl(t,e,n);case 2:return yl(t,[0,e],[t.shape[0],n]);case 3:return bl(t,[0,0,e],[t.shape[0],t.shape[1],n]);case 4:return xl(t,[0,0,0,e],[t.shape[0],t.shape[1],t.shape[2],n]);default:throw new wh("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function Sf(t,e,n,r){return Be(function(){switch(t.rank){case 1:return vl(t,e,n);case 2:switch(r){case 1:return Cf(t,e,n);case 2:return Nf(t,e,n);default:throw new wh("The axis is not within the rank of the tensor "+r)}case 3:switch(r){case 1:return Cf(t,e,n);case 2:return bl(t,[0,e,0],[t.shape[0],n,t.shape[2]]);case 3:return Nf(t,e,n);default:throw new wh("The axis is not within the rank of the tensor "+r)}case 4:switch(r){case 1:return Cf(t,e,n);case 2:return xl(t,[0,e,0,0],[t.shape[0],n,t.shape[2],t.shape[3]]);case 3:return xl(t,[0,0,e,0],[t.shape[0],t.shape[1],n,t.shape[3]]);case 4:return Nf(t,e,n);default:throw new wh("The axis is not within the rank of the tensor "+r)}default:throw new wh("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function If(t,e){var n;return void 0===e&&(e=-1),e<0&&(e=0!==(n=t[0].rank)?n:0),e===t[0].rank&&(e=-1),In(t,e)}function kf(t,e){switch(t.rank){case 1:return kn([t,e]);case 2:return En([t,e],0);case 3:return An([t,e],0);case 4:return Rn([t,e],0);default:throw new wh("concatAlongFirstAxis() received an unsupported tensor rank: "+t.rank)}}function Ef(t,e){if(Array.isArray(e)||(e=[e]),t.rank!==e.length)throw new wh("The length of input n ("+e.length+") does not match the number of dimensions in input x ("+t.rank+")");return fr(t,e)}function Af(t,e,n,r,a){return void 0===e&&(e=0),void 0===n&&(n=1),or(t,e,n,r,a)}function Rf(t,e,n,r){if(t.rank<2||e.rank<2)throw new Ch("dot requires both inputs to be rank >= 2 but got x shape = "+t.shape+" and y shape = "+e.shape);if(e.rank>=3&&t.shape.slice(-1)[0]!==(c=e.shape.slice(-2)[0]))throw new Ch("If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = "+t.shape+" and  y shape = "+e.shape);if(2===t.rank&&2===e.rank){var a=!1,i=!1;return Lc.matMul({a:t,b:e,transposeA:a,transposeB:i,bias:r?Of(t.rank,r,"channelsLast"):null,activation:n})}var o=t.shape.slice(),s=o.pop();t=t.reshape([-1,s]);var u=e.shape.slice(),l=u.pop(),c=u.pop(),p=u.concat([l]),h=Array.from({length:e.rank},function(t,n){return 0===n?e.rank-2:n<=e.rank-2?n-1:n});e=e.transpose(h).reshape([c,-1]);var f=o.concat(p);return a=!1,i=!1,Lc.matMul({a:t,b:e,transposeA:a,transposeB:i,bias:r?Of(t.rank,r,"channelsLast"):null,activation:n}).reshape(f)}function Tf(t,e,n){return Be(function(){return e=Array.isArray(e)?pn(e,"int32"):e.toInt(),Bu(t,e,n)})}function Df(t){return vu(t,t)}function Of(t,e,n){var r=e.shape;if(1!==e.rank&&e.rank!==t)throw new wh("Unexpected bias dimensions: "+e.rank+"; expected it to be 1 or "+t);if(5===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1,1,1]):e.reshape([1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,1,1,r[0]]):e.reshape([1].concat(r))}else if(4===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1,1]):e.reshape([1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,1,r[0]]):e.reshape([1].concat(r))}else if(3===t){if("channelsFirst"===n)return 1===r.length?e.reshape([1,r[0],1]):e.reshape([1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?e.reshape([1,1,r[0]]):e.reshape([1].concat(r))}else if(t<3)return e;throw new wh("Unsupported input rank by biasAdd: "+e.rank)}function _f(t,e,n){return Be(function(){return null==n&&(n="channelsLast"),rf(n),t.add(Of(t.rank,e,n))})}function Ff(t,e,n,r){return Be(function(){return nc(t,e,n,r)})}function Mf(t,e,n){return void 0===n&&(n=!1),n?t():e()}var zf=["fanIn","fanOut","fanAvg"],Lf=["normal","uniform","truncatedNormal"];var Bf=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.fromConfigUsesCustomObjects=function(){return!1},e.prototype.getConfig=function(){return{}},e}(Hp.Serializable),Pf=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){return bn(t,e)},e.className="Zeros",e}(Bf);Hp.registerClass(Pf);var Wf=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){return yn(t,e)},e.className="Ones",e}(Bf);Hp.registerClass(Wf);var Vf=function(t){function e(e){var n=t.call(this)||this;if("object"!=typeof e)throw new wh("Expected argument of type ConstantConfig but got "+e);if(void 0===e.value)throw new wh("config must have value set but got "+e);return n.value=e.value,n}return fh(e,t),e.prototype.apply=function(t,e){var n=this;return Be(function(){return gu(cn(n.value),yn(t,e))})},e.prototype.getConfig=function(){return{value:this.value}},e.className="Constant",e}(Bf);Hp.registerClass(Vf);var Uf=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=e.minval||n.DEFAULT_MINVAL,n.maxval=e.maxval||n.DEFAULT_MAXVAL,n.seed=e.seed,n}return fh(e,t),e.prototype.apply=function(t,e){return ur(t,this.minval,this.maxval,e)},e.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},e.className="RandomUniform",e}(Bf);Hp.registerClass(Uf);var jf=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return fh(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Ch("randomNormal does not support dType "+e+".");return Af(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="RandomNormal",e}(Bf);Hp.registerClass(jf);var Gf=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return fh(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Ch("truncatedNormal does not support dType "+e+".");return dr(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="TruncatedNormal",e}(Bf);Hp.registerClass(Gf);var qf=function(t){function e(e){var n=t.call(this)||this;return n.gain=null!=e.gain?e.gain:1,n}return fh(e,t),e.prototype.apply=function(t,e){var n=this;return Be(function(){if(2!==t.length||t[0]!==t[1])throw new wh("Identity matrix initializer can only be used for 2D square matrices.");return gu(n.gain,Jn(t[0]))})},e.prototype.getConfig=function(){return{gain:this.gain}},e.className="Identity",e}(Bf);Hp.registerClass(qf);var Hf=function(t){function e(e){var n=t.call(this)||this;if(e.scale<0)throw new wh("scale must be a positive float. Got: "+e.scale);return n.scale=null==e.scale?1:e.scale,n.mode=null==e.mode?"fanIn":e.mode,function(t){Lh(zf,"FanMode",t)}(n.mode),n.distribution=null==e.distribution?"normal":e.distribution,function(t){Lh(Lf,"Distribution",t)}(n.distribution),n.seed=e.seed,n}return fh(e,t),e.prototype.apply=function(t,e){var n=function(t,e){var n,r;if(void 0===e&&(e="channelsLast"),rf(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length))if("channelsFirst"===e){var a=mf(t,2);n=t[1]*a,r=t[0]*a}else"channelsLast"===e&&(a=mf(t,0,t.length-2),n=t[t.length-2]*a,r=t[t.length-1]*a);else{var i=mf(t);n=Math.sqrt(i),r=Math.sqrt(i)}return[n,r]}(t),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new Ch(this.getClassName()+" does not support dType "+e+".");return dr(t,0,o,e,this.seed)}var s=Math.sqrt(3*i);return ur(t,-s,s,e)},e.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},e.className="VarianceScaling",e}(Bf);Hp.registerClass(Hf);var Kf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="GlorotUniform",e}(Hf);Hp.registerClass(Kf);var Xf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="GlorotNormal",e}(Hf);Hp.registerClass(Xf);var $f=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="HeNormal",e}(Hf);Hp.registerClass($f);var Yf=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="HeUniform",e}(Hf);Hp.registerClass(Yf);var Jf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="LeCunNormal",e}(Hf);Hp.registerClass(Jf);var Zf=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return fh(e,t),e.prototype.getClassName=function(){return Hf.className},e.className="LeCunNormal",e}(Hf);Hp.registerClass(Zf);var Qf=function(t){function e(e){var n=t.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==e.gain?n.DEFAULT_GAIN:e.gain,n.seed=e.seed,null!=n.seed)throw new Ch("Random seed is not implemented for Orthogonal Initializer yet.");return n}return fh(e,t),e.prototype.apply=function(t,e){var n=this;return Be(function(){if(2!==t.length)throw new Ch("The Orthogonal Initializer does not support non-2D shapes yet.");t[0]*t[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more than 2000 ("+t[0]*t[1]+") elements: Slowness may result.");var e=Af(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=Nc.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),gu(n.gain,r)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Bf);Hp.registerClass(Qf);var td={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function ed(t,e){return void 0===e&&(e={}),_h(t,Hp.SerializationMap.getMap().classNameMap,e,"initializer")}function nd(t){return Oh(t)}function rd(t){if("string"==typeof t){var e=t in td?td[t]:t;if("GlorotNormal"===e)return new Xf;if("GlorotUniform"===e)return new Kf;if("HeNormal"===e)return new $f;if("HeUniform"===e)return new Yf;if("LeCunNormal"===e)return new Jf;if("LeCunUniform"===e)return new Zf;var n={};return n.className=e,n.config={},ed(n)}return t instanceof Bf?t:ed(t)}var ad=Object.freeze({zeros:function(){return new Pf},ones:function(){return new Wf},constant:function(t){return new Vf(t)},randomUniform:function(t){return new Uf(t)},randomNormal:function(t){return new jf(t)},truncatedNormal:function(t){return new Gf(t)},identity:function(t){return new qf(t)},varianceScaling:function(t){return new Hf(t)},glorotUniform:function(t){return new Kf(t)},glorotNormal:function(t){return new Xf(t)},heNormal:function(t){return new $f(t)},heUniform:function(t){return new Yf(t)},leCunNormal:function(t){return new Jf(t)},leCunUniform:function(t){return new Zf(t)},orthogonal:function(t){return new Qf(t)}}),id=0;function od(){return id++}var sd={};function ud(t){return void 0===t&&(t=""),t in sd||(sd[t]=0),sd[t]+=1,t+sd[t].toString()}function ld(t){return Array.isArray(t)&&Array.isArray(t[0])}function cd(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function pd(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new wh("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function hd(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new wh("Expected exactly 1 Shape; got "+t.length)}return t}function fd(t){for(var e=0,n=0,r=t;n<r.length;n++){var a=r[n];0===a.shape.length?e+=1:e+=a.shape.reduce(function(t,e){return t*e})}return e}var dd="Variable",md=function(){function t(t,e,n,r,a){void 0===e&&(e="float32"),void 0===n&&(n=dd),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=od(),n=null==n?dd:n,this.originalName=cf(n),this.name=pf(this.originalName),this.trainable_=r,this.constraint=a,this.val=vn(t,this.trainable_,this.name,this.dtype)}return t.prototype.read=function(){return this.assertNotDisposed(),this.val},t.prototype.write=function(t){return this.assertNotDisposed(),function(t,e){if(t.shape.toString()!==e.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(t.shape)+" vs. "+JSON.stringify(e.shape))}(this.val,t),this.val.id!==t.id&&(this.val.assign(t),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},t.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},t.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.trainable_=t,this.val.trainable=t},enumerable:!0,configurable:!0}),t}();function gd(t){return t.map(function(t){return t.read()})}function vd(t){t.forEach(function(t){t[0].write(t[1])})}var yd=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||{}},bd=function(t,e,n,r,a,i,o){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=od(),null!=i&&(this.originalName=cf(i),this.name=pf(this.originalName)),this.rank=e.length},xd=0,wd=function(){function t(t,e){this.callArgs=e,this.id=xd++,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 a=r[n];null!=a&&a.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}(),Cd=0,Nd=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=Cd++,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 a=n.getClassName();r=Rh(a)+"_"+ud(a)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,null!=e.inputShape||null!=e.batchInputShape){var i=void 0;if(null!=e.batchInputShape)i=e.batchInputShape;else if(null!=e.inputShape){var o=null;null!=e.batchSize&&(o=e.batchSize),i=[o].concat(e.inputShape)}n.batchInputShape=i;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 fh(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 xh("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new wh("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 Eh(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return Eh(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new bh("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 bh("Layer "+this.name+" is not connected, no input to return.");return Eh(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new bh("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new bh("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Eh(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=Ah(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=Ah(this.inputSpec);if(t.length!==e.length)throw new wh("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],a=e[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new wh("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new wh("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new wh("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new wh("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new wh("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var p=0;p<a.shape.length;++p){var h=a.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new wh("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.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=Ah(t),a=!0,i=0,o=r;i<o.length;i++)if(!(o[i]instanceof bd)){a=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof bd){s=!1;break}if(a===s)throw new wh("Arguments to apply() must be all SymbolicTensors or all Tensors");return lf(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var a=[],i=0,o=Ah(t);i<o.length;i++){var u=o[i];a.push(u.shape)}n.build(Eh(a)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var l=[],c=0,p=Ah(m=n.call(t,e));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),l.push(h)}if(m=Eh(l),null!=n.activityRegularizer)throw new Ch("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var f=function(t){for(var e=[],n=0,r=t=Ah(t);n<r.length;n++){var a=r[n];e.push(a.shape)}return Eh(e)}(t),d=n.computeOutputShape(f),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?f[0]:f),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,a){return new bd(g,r,n,Ah(t),e,n.name,a)}):new bd(g,d,n,Ah(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new Ch("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},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 bh("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],a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new bh("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 xh("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return fd(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),gd(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;Be(function(){var n=e.weights;if(n.length!==t.length)throw new wh('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 r=[],a=gd(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=t[i];if(!Q.arraysEqual(o.shape,u.shape))throw new wh("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}vd(r)}})},e.prototype.addWeight=function(t,e,n,r,a,i,o){if(-1!==this._addedWeightNames.indexOf(t))throw new wh("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=rd("zeros"));var s=r.apply(e,n),u=new md(s,n,t,i,o);return s.dispose(),null!=a&&this.addLoss(function(){return a.apply(u.read())}),null==i&&(i=!0),i?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=Ah(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,a,i,o){void 0===o&&(o=null);var s=Ah(t);e=Ah(e),n=Ah(n),r=Ah(r),a=cd(a),i=cd(i);for(var u=[],l=[],c=[],p=0,h=s;p<h.length;p++){var f=h[p];u.push(f.sourceLayer),l.push(f.nodeIndex),c.push(f.tensorIndex)}new wd({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<e.length;d++)e[d].sourceLayer=this,e[d].nodeIndex=this.inboundNodes.length-1,e[d].tensorIndex=d},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}(Hp.Serializable);var Sd,Id=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:ud("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 wh("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 wh("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new wh("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=e.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var i=new bd(n.dtype,n.batchInputShape,n,[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new wd({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return fh(e,t),e.prototype.apply=function(t,e){throw new wh("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}(Nd);function kd(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=t.batchShape&&null!=t.shape)throw new wh("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));var n=t.dtype;return null==n&&(n="float32"),new Id({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function Ed(t){return gh(this,void 0,void 0,function(){var e,n,r,a,i,o,s,u;return vh(this,function(l){switch(l.label){case 0:if(null==t)return[2];for(a in e=[],n=[],r=[],t)"number"!=typeof(i=t[a])&&(o=i,e.push(o.data()),n.push(a),r.push(o));return e.length>0?[4,Promise.all(e)]:[3,2];case 1:for(s=l.sent(),u=0;u<s.length;++u)t[n[u]]=s[u][0];Pe(r),l.label=2;case 2:return[2]}})})}function Ad(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}Hp.registerClass(Id),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(Sd||(Sd={}));var Rd=125,Td=function(){function t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.onBatchBegin=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.onBatchEnd=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.onTrainBegin=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.onTrainEnd=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return[2]})})},t.prototype.setModel=function(t){},t}(),Dd=function(){function t(t,e){void 0===e&&(e=10),null==t&&(t=[]),this.callbacks=t,this.queueLength=e}return t.prototype.append=function(t){this.callbacks.push(t)},t.prototype.setParams=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setParams(t)},t.prototype.setModel=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setModel(t)},t.prototype.onEpochBegin=function(t,e){return gh(this,void 0,void 0,function(){var n,r;return vh(this,function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){var n,r;return vh(this,function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchBegin=function(t,e){return gh(this,void 0,void 0,function(){var n,r;return vh(this,function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchEnd=function(t,e){return gh(this,void 0,void 0,function(){var n,r;return vh(this,function(a){switch(a.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(t,e)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onTrainBegin=function(t){return gh(this,void 0,void 0,function(){var e,n;return vh(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainBegin(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t.prototype.onTrainEnd=function(t){return gh(this,void 0,void 0,function(){var e,n;return vh(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainEnd(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t}(),Od=function(t){function e(){return t.call(this)||this}return fh(e,t),e.prototype.onEpochBegin=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return this.seen=0,this.totals={},[2]})})},e.prototype.onBatchEnd=function(t,e){return gh(this,void 0,void 0,function(){var t,n,r,a,i=this;return vh(this,function(o){for(a in null==e&&(e={}),t=null==e.size?0:e.size,this.seen+=t,n=function(n){var a=e[n];if("number"==typeof a)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+a*t;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=0;var s=Be(function(){return ru(i.totals[n],gu(a,t))});r.totals[n]=s,null!=o&&o.dispose()}},r=this,e)n(a);return[2]})})},e.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){var t,n,r,a,i,o=this;return vh(this,function(s){if(null!=e)for(t=function(t){if(null==n.totals[t])return"continue";"number"==typeof n.totals[t]?e[t]=n.totals[t]/n.seen:Be(function(){var n=gu(su(1,o.seen),o.totals[t]);e[t]=n,o.totals[t].dispose(),We(e[t])})},n=this,r=0,a=this.params.metrics;r<a.length;r++)i=a[r],t(i);return[2]})})},e}(Td),_d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.onTrainBegin=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return this.epoch=[],this.history={},[2]})})},e.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){var n;return vh(this,function(r){for(n in null==e&&(e={}),this.epoch.push(t),e)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(e[n]);return[2]})})},e.prototype.syncData=function(){return gh(this,void 0,void 0,function(){var t,e,n,r,a,i,o,s,u;return vh(this,function(l){switch(l.label){case 0:for(r in t=[],e=[],n=[],this.history)for(a=this.history[r],i=0;i<a.length;++i)"number"!=typeof a[i]&&(o=a[i],t.push(o.data()),e.push(r),n.push(i));return[4,Promise.all(t)];case 1:for(s=l.sent(),u=0;u<s.length;++u)this.history[e[u]][n[u]].dispose(),this.history[e[u]][n[u]]=s[u][0];return[2]}})})},e}(Td),Fd=function(t){function e(e,n){var r=t.call(this)||this;if(r.currentEpoch=0,r.yieldEvery=n||"auto","auto"===r.yieldEvery&&(r.yieldEvery=Rd),"never"===r.yieldEvery&&null!=e.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. Either change `yieldEvery` or remove the callback");return Q.isNumber(r.yieldEvery)&&(r.maybeWait=function(t,e){var n,r=Q.now();return function(){for(var a=[],i=0;i<arguments.length;i++)a[i]=arguments[i];var o=Q.now();return o-r<e?n:(r=o,n=t.apply(void 0,a))}}(r.maybeWait.bind(r),r.yieldEvery)),r.trainBegin=e.onTrainBegin,r.trainEnd=e.onTrainEnd,r.epochBegin=e.onEpochBegin,r.epochEnd=e.onEpochEnd,r.batchBegin=e.onBatchBegin,r.batchEnd=e.onBatchEnd,r.yield=e.onYield,r}return fh(e,t),e.prototype.maybeWait=function(t,e,n){return gh(this,void 0,void 0,function(){var r;return vh(this,function(a){switch(a.label){case 0:return r=[],null==this.yield?[3,2]:[4,Ed(n)];case 1:a.sent(),r.push(this.yield(t,e,n)),a.label=2;case 2:return r.push(ph()),[4,Promise.all(r)];case 3:return a.sent(),[2]}})})},e.prototype.onEpochBegin=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){switch(n.label){case 0:return this.currentEpoch=t,null==this.epochBegin?[3,3]:[4,Ed(e)];case 1:return n.sent(),[4,this.epochBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){var n;return vh(this,function(r){switch(r.label){case 0:return n=[],null==this.epochEnd?[3,2]:[4,Ed(e)];case 1:r.sent(),n.push(this.epochEnd(t,e)),r.label=2;case 2:return"epoch"===this.yieldEvery&&n.push(ph()),[4,Promise.all(n)];case 3:return r.sent(),[2]}})})},e.prototype.onBatchBegin=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,Ed(e)];case 1:return n.sent(),[4,this.batchBegin(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onBatchEnd=function(t,e){return gh(this,void 0,void 0,function(){var n;return vh(this,function(r){switch(r.label){case 0:return n=[],null==this.batchEnd?[3,2]:[4,Ed(e)];case 1:r.sent(),n.push(this.batchEnd(t,e)),r.label=2;case 2:return"batch"===this.yieldEvery?n.push(ph()):Q.isNumber(this.yieldEvery)&&n.push(this.maybeWait(this.currentEpoch,t,e)),[4,Promise.all(n)];case 3:return r.sent(),[2]}})})},e.prototype.onTrainBegin=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(e){switch(e.label){case 0:return null==this.trainBegin?[3,3]:[4,Ed(t)];case 1:return e.sent(),[4,this.trainBegin(t)];case 2:e.sent(),e.label=3;case 3:return[2]}})})},e.prototype.onTrainEnd=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(e){switch(e.label){case 0:return null==this.trainEnd?[3,3]:[4,Ed(t)];case 1:return e.sent(),[4,this.trainEnd(t)];case 2:e.sent(),e.label=3;case 3:return[2]}})})},e}(Td);function Md(t,e){return null==t&&(t={}),t instanceof Td?[t]:Array.isArray(t)&&t[0]instanceof Td?t:Ah(t).map(function(t){return new Fd(t,e)})}var zd=function(){function t(){}return t.registerCallbackConstructor=function(e,n){Q.assert(e>=0&&Number.isInteger(e),function(){return"Verbosity level is expected to be an integer >= 0, but got "+e}),t.checkForDuplicate(n),null==t.constructors[e]&&(t.constructors[e]=[]),t.constructors[e].push(n)},t.checkForDuplicate=function(e){for(var n in t.constructors)t.constructors[+n].forEach(function(t){if(t===e)throw new wh("Duplicate callback constructor.")})},t.clear=function(){t.constructors={}},t.createCallbacks=function(e){var n=[];for(var r in t.constructors){var a=+r;e>=a&&n.push.apply(n,t.constructors[a])}return n.map(function(t){return new t})},t.constructors={},t}();function Ld(t,e,n,r,a,i,o,s,u){var l=new _d,c=[new Od].concat(zd.createCallbacks(e));null!=t&&c.push.apply(c,t),c.push(l);var p=new Dd(c);return p.setParams({epochs:n,initialEpoch:r,samples:a,steps:i,batchSize:o,verbose:e,doValidation:s,metrics:u}),{callbackList:p,history:l}}function Bd(t,e,n){return void 0===e&&(e={}),void 0===n&&(n=!1),_h(t,Hp.SerializationMap.getMap().classNameMap,e,"layer",n)}function Pd(t,e){return Be(function(){"float32"!==t.dtype&&(t=t.asType("float32"));var n=Dl(Df(t),e,!0),r=xn(n.shape,yh()),a=_s(cu(n,r));return su(t,a)})}function Wd(t,e){return Be(function(){return Al(Df(Cu(e,t)),-1)})}function Vd(t,e){return Be(function(){return Al(rs(Cu(e,t)),-1)})}function Ud(t,e){return Be(function(){var n=Cu(t,e),r=ps(rs(t),yh(),Number.MAX_VALUE),a=rs(su(n,r));return gu(100,Al(a,-1))})}function jd(t,e,n){return void 0===n&&(n=!1),Be(function(){if(n)e=Lr(e);else{var r=Dl(e,e.shape.length-1,!0);e=su(e,r)}return e=ps(e,yh(),1-yh()),ws(Dl(gu(t.toFloat(),ys(e)),e.shape.length-1))})}function Gd(t,e){return Be(function(){var n=vs(function(t){var e=[mf(t.shape)];return t.reshape(e)}(t)).toInt(),r=(e=ps(e,yh(),1-yh())).shape;return jd(Qn(n,r[r.length-1]).reshape(r),e,!1)})}function qd(t,e){return Be(function(){var n;return n=ps(e,yh(),1-yh()),n=ys(su(n,Cu(1,n))),Al(function(t,e){if(!Q.arraysEqual(t.shape,e.shape))throw new wh("logits and labels must have the same shape, but got shapes "+JSON.stringify(t.shape)+" and "+JSON.stringify(e.shape));return Be(function(){var n=e.relu(),r=e.abs().neg();return n.sub(e.mul(t)).add(r.exp().log1p())})}(t,n),-1)})}function Hd(t,e){return Be(function(){var n=Pd(t,-1),r=Pd(e,-1),a=gu(n,r);return ws(Dl(a,-1))})}var Kd={meanSquaredError:Wd,meanAbsoluteError:Vd,meanAbsolutePercentageError:Ud,meanSquaredLogarithmicError:function(t,e){return Be(function(){var n=ps(e,yh(),Number.MAX_VALUE),r=ys(ru(1,n)),a=ps(t,yh(),Number.MAX_VALUE),i=ys(ru(1,a));return Al(Df(Cu(r,i)),-1)})},squaredHinge:function(t,e){return Be(function(){var n=cu(0,Cu(1,gu(t,e)));return Al(Df(n),-1)})},hinge:function(t,e){return Be(function(){var n=cu(0,Cu(1,gu(t,e)));return Al(n,-1)})},categoricalHinge:function(t,e){return Be(function(){var n=Dl(gu(t,e),-1),r=El(gu(Cu(1,t),e),-1);return cu(0,ru(1,Cu(r,n)))})},logcosh:function(t,e){return Be(function(){var n=Math.log(2),r=Cu(e,t),a=Cu(ru(r,Os(gu(-2,r))),n);return Al(a,-1)})},categoricalCrossentropy:jd,sparseCategoricalCrossentropy:Gd,binaryCrossentropy:qd,kullbackLeiblerDivergence:function(t,e){return Be(function(){var n=ps(t,yh(),1),r=ps(e,yh(),1);return Dl(gu(t,ys(su(n,r))),-1)})},poisson:function(t,e){return Be(function(){var n=ys(ru(yh(),e));return Al(Cu(e,gu(t,n)),-1)})},cosineProximity:Hd};function Xd(t){if("string"==typeof t){if(t in Kd)return Kd[t];var e="Unknown loss "+t;throw t.toLowerCase().includes("softmaxcrossentropy")&&(e="Unknown loss "+t+'. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy'),new wh(e)}return t}function $d(t,e){return Be(function(){var n=gu(.5,Nn(e)),r=xf(ku(e,n),t.dtype);return Al(Su(t,r),-1)})}function Yd(t,e){return Be(function(){return xf(Su(Sl(t,-1),Sl(e,-1)),"float32")})}function Jd(t,e){return Be(function(){return Js(t.equal(1),e.equal(1)).sum().cast("float32")})}function Zd(t,e){return Be(function(){var n=Jd(t,e),r=function(t,e){return Be(function(){return Js(t.equal(0),e.equal(1)).sum().cast("float32")})}(t,e),a=n.add(r);return eu(ku(a,0),n.div(a),0).cast("float32")})}function Qd(t,e){return Be(function(){var n=Jd(t,e),r=function(t,e){return Be(function(){return Js(t.equal(1),e.equal(0)).sum().cast("float32")})}(t,e),a=n.add(r);return eu(ku(a,0),n.div(a),0).cast("float32")})}function tm(t,e){return qd(t,e)}function em(t,e){return t.rank===e.rank&&(t=t.squeeze([t.rank-1])),(e=e.argMax(-1)).dtype!==t.dtype&&(e=e.asType(t.dtype)),Su(t,e).asType("float32")}var nm=jd,rm=Gd,am={binaryAccuracy:$d,categoricalAccuracy:Yd,precision:Zd,categoricalCrossentropy:nm,sparseCategoricalCrossentropy:rm,mse:Wd,MSE:Wd,mae:Vd,MAE:Vd,mape:Ud,MAPE:Ud,cosine:Hd};function im(t){if(Ih(null!==t,"Unknown LossOrMetricFn "+t),"string"==typeof t)return t;for(var e=void 0,n=0,r=Object.keys(Kd);n<r.length;n++){var a=r[n];if(Kd[a]===t){e=a;break}}if(void 0!==e)return e;for(var i=0,o=Object.keys(am);i<o.length;i++)if(a=o[i],am[a]===t){e=a;break}return void 0!==e?e:t.name}var om=1048576;function sm(t,e,n){if(void 0===n&&(n=!1),null==t||"object"!=typeof t||Object.getPrototypeOf(t)!==Object.prototype||!function t(e){if(null===e)return!0;if("object"==typeof e){if(Object.getPrototypeOf(e)===Object.prototype){for(var n=0,r=Object.keys(e);n<r.length;n++){var a=r[n];if("string"!=typeof a)return!1;if(!t(e[a]))return!1}return!0}if(Array.isArray(e)){for(var i=0,o=e;i<o.length;i++)if(!t(o[i]))return!1;return!0}return!1}var s=typeof e;return"string"===s||"number"===s||"boolean"===s}(t))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){var r=JSON.stringify(t);r.length>om&&console.warn('User-defined metadata of model "'+e+'" is too large in size (length='+r.length+" when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= "+om+".")}}function um(t,e,n,r){void 0===r&&(r=console.log);var a,i=function(t){var e=!0,n=[],r=[];for(var a in t.nodesByDepth)n.push(t.nodesByDepth[a]);for(var i=0,o=n;i<o.length;i++){var s=o[i];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){e=!1;break}r.push.apply(r,s)}if(e)for(var u=0,l=t.layers;u<l.length;u++){for(var c=!1,p=0,h=l[u].inboundNodes;p<h.length;p++){var f=h[p];if(-1!==r.indexOf(f)){if(c){e=!1;break}c=!0}}if(!e)break}return e}(t),o=["Layer (type)","Output shape","Param #"];if(i?(e=e||65,n=n||[.45,.85,1]):(e=e||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(t){return Math.floor(e*t)})),!i)for(var s in o.push("Receives inputs"),a=[],t.nodesByDepth)a.push.apply(a,t.nodesByDepth[s]);r("_".repeat(e)),lm(o,n,r),r("=".repeat(e));for(var u=t.layers,l=0;l<u.length;++l)i?cm(u[l],n,r):pm(u[l],n,a,r),r((l===u.length-1?"=":"_").repeat(e));t.checkTrainableWeightsConsistency();var c=function(t){return null!=t.collectedTrainableWeights?fd(t.collectedTrainableWeights):fd(t.trainableWeights)}(t),p=fd(t.nonTrainableWeights);r("Total params: "+(c+p)),r("Trainable params: "+c),r("Non-trainable params: "+p),r("_".repeat(e))}function lm(t,e,n){void 0===n&&(n=console.log);for(var r="",a=0;a<t.length;++a)a>0&&(r=r.slice(0,r.length-1)+" "),r=(r+=t[a]).slice(0,e[a]),r+=" ".repeat(e[a]-r.length);n(r)}function cm(t,e,n){var r;try{r=JSON.stringify(t.outputShape)}catch(t){r="multiple"}lm([t.name+" ("+t.getClassName()+")",r,t.countParams().toString()],e,n)}function pm(t,e,n,r){var a;try{a=JSON.stringify(t.outputShape)}catch(t){a="multiple"}for(var i=[],o=0,s=t.inboundNodes;o<s.length;o++){var u=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(u)))for(var l=0;l<u.inboundLayers.length;++l){var c=u.inboundLayers[l].name,p=u.nodeIndices[l],h=u.tensorIndices[l];i.push(c+"["+p+"]["+h+"]")}}var f=t.name,d=t.getClassName(),m=0===i.length?"":i[0];for(lm([f+" ("+d+")",a,t.countParams().toString(),m],e,r),l=1;l<i.length;++l)lm(["","","",i[l]],e,r)}function hm(t,e,n){return("inboundNodes"===t||"outputLayers"===t||"inputLayers"===t)&&0===e&&"string"==typeof n}function fm(t,e){if(null===t)return null;if("string"==typeof t)return Th(t);if("number"==typeof t||"boolean"==typeof t)return t;if(t instanceof Array){for(var n=[],r=t.length,a=0;a<r;++a){var i=t[a];hm(e,a,i)?n.push(i):n.push(fm(i,e))}return n}for(var o={},s=0,u=Object.keys(t);s<u.length;s++){var l=u[s],c=t[l];if("name"===l&&"string"==typeof c)o[l]=c;else{var p=Th(l);o[p]=fm(c,p)}}return o}var dm=function(){function t(e){if(this.id2Value={},this.id2Mask={},this.name2Id={},e instanceof t)for(var n in e.id2Value)this.id2Value[n]=e.id2Value[n],n in e.id2Mask&&(this.id2Mask[n]=e.id2Mask[n]);else{if(null==e)return;for(var r=0,a=e;r<a.length;r++){var i=a[r];this.add(i.key,i.value)}}}return t.prototype.add=function(t,e,n){if(null!=this.id2Value[t.id])throw new wh("Duplicate key: name="+t.name+", id="+t.id);return this.id2Value[t.id]=function(t,e){if(null==t.dtype||t.dtype===e.dtype)return e;try{return Hn(e,t.dtype)}catch(n){throw new wh("The dtype of the feed ("+e.dtype+") can not be cast to the dtype of the key '"+t.name+"' ("+t.dtype+").")}}(t,e),this.name2Id[t.name]=t.id,null!=n&&(this.id2Mask[t.id]=n),this},t.prototype.addFeed=function(t){this.add(t.key,t.value)},t.prototype.hasKey=function(t){return null!=this.id2Value[t.id]},t.prototype.names=function(){return Object.keys(this.name2Id)},t.prototype.getValue=function(t){if(t instanceof bd){if(null==this.id2Value[t.id])throw new wh("Nonexistent key: "+t.name);return this.id2Value[t.id]}var e=this.name2Id[t];if(null==e)throw new wh("Feed dict has no SymbolicTensor name: "+t);return this.id2Value[e]},t.prototype.getMask=function(t){if(t instanceof bd){if(null==this.id2Value[t.id])throw new wh("Nonexistent key: "+t.name);return this.id2Mask[t.id]}var e=this.name2Id[t];if(null==e)throw new wh("Feed dict has no SymbolicTensor name: "+t);return this.id2Mask[e]},t.prototype.disposeMasks=function(){null!=this.id2Mask&&Pe(this.id2Mask)},t}(),mm={},gm={};function vm(t,e,n,r){for(var a=null!=n&&n.training,i=Array.isArray(t),o=i?t:[t],s=o.map(function(t){return t.name}),u=[],l=e.names(),c=0,p=s;c<p.length;c++){var h=p[c];-1!==l.indexOf(h)?u.push(e.getValue(h)):u.push(null)}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d,m=s.join(",")+"|"+e.names().join(",");if(null==mm[m]){var g=function(t,e){Q.assert(null!=t&&t.length>0,function(){return"Expected at least one fetch, got none"});var n=[],r={};if(1===t.length){var a=ym(t[0],e);n=a.sorted,r=a.recipientMap}else for(var i=new Set,o=0,s=t;o<s.length;o++){for(var u=ym(s[o],e),l=u.sorted,c=u.recipientMap,p=0,h=l;p<h.length;p++){var f=h[p];i.has(f.name)||(n.push(f),i.add(f.name))}var d=function(t){null==r[t]&&(r[t]=new Set),c[t].forEach(function(e){return r[t].add(e)})};for(var m in c)d(m)}return{sorted:n,recipientCounts:function(t){var e={};for(var n in t)e[n]=t[n].size;return e}(r)}}(o,e);f=g.sorted,d=g.recipientCounts,mm[m]=f,gm[m]=d}f=mm[m],d={},a||Object.assign(d,gm[m]);for(var v=new dm(e),y=0;y<f.length;++y){if(null!=r){var b=Le().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=f[y],w=x.sourceLayer;if(!(w instanceof Id)){for(var C=[],N=[],S=[],I=!1,k=0,E=x.inputs;k<E.length;k++){var A=E[k],R=v.getValue(A),T=v.getMask(A);C.push(R),N.push(T),null!=T&&(I=!0),a||(d[A.name]--,0!==d[A.name]||e.hasKey(A)||-1!==s.indexOf(A.name)||R.isDisposed||!0===A.sourceLayer.stateful||S.push(R))}I&&((n=n||{}).mask=N[0]);var D=Ah(w.apply(C,n)),O=null;w.supportsMasking&&(O=w.computeMask(C,N));for(var _=bm(x),F=Array.isArray(_)?_:[_],M=0;M<F.length;++M){v.hasKey(F[M])||v.add(F[M],D[M],Array.isArray(O)?O[0]:O);var z=s.indexOf(F[M].name);-1!==z&&(u[z]=D[M])}a||Pe(S)}}return v.disposeMasks(),i?u:u[0]}function ym(t,e){for(var n=new Set,r=[],a={},i=0,o=e.names();i<o.length;i++){var s=o[i];n.add(s)}var u=[],l=[];for(u.push(t);u.length>0;){var c=u[u.length-1];if(n.has(c.name))u.pop();else{var p=l[l.length-1]===u.length-1;if(0===c.inputs.length||p)u.pop(),r.push(c),n.add(c.name),p&&l.pop();else{l.push(u.length-1);for(var h=0,f=c.inputs;h<f.length;h++){var d=f[h];null==a[d.name]&&(a[d.name]=new Set),a[d.name].add(c.name),n.has(d.name)||u.push(d)}}}}return{sorted:r,recipientMap:a}}function bm(t){var e;if(1===t.sourceLayer.inboundNodes.length)e=t.sourceLayer.output;else{for(var n=null,r=0;r<t.sourceLayer.inboundNodes.length;++r)for(var a=0,i=t.sourceLayer.inboundNodes[r].outputTensors;a<i.length;a++)if(i[a].id===t.id){n=r;break}e=t.sourceLayer.getOutputAt(n)}return e}function xm(t,e){return function(t,e,n){var r=e.length;if(null==t||Array.isArray(t)&&0===t.length)return e.map(function(t){return null});if(1===r)return Array.isArray(t)&&1===t.length?t:"object"==typeof t&&e[0]in t?[t[e[0]]]:[t];if(Array.isArray(t)){if(t.length!==r)throw new Error("Provided "+n+" is an array of "+t.length+" element(s), but the model has "+r+" outputs. Make sure a set of weights is provided for each model output.");return t}if("object"==typeof t&&Object.keys(t).length>0&&"object"==typeof t[Object.keys(t)[0]]){var a=[];return e.forEach(function(e){e in t?a.push(t[e]):a.push(null)}),a}throw new Error("The model has multiple ("+r+") outputs, so "+n+" must be either an array with "+r+" elements or an object with "+e+" keys. Provided "+n+" not understood: "+JSON.stringify(t))}(t,e,"classWeight")}function wm(t,e,n,r){return gh(this,void 0,void 0,function(){var a,i,o,s,u;return vh(this,function(l){switch(l.label){case 0:if(null!=e||null!=r)throw new Error("Support sampleWeight is not implemented yet");return null==n?[3,2]:(a=Be(function(){if(1===t.shape.length)return t.clone();if(2===t.shape.length){if(t.shape[1]>1)return t.argMax(1);if(1===t.shape[1])return t.reshape([t.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+t.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+t.rank+") during handling of class weights. The rank is expected to be 1 or 2.")}),s=(o=Array).from,[4,a.data()]);case 1:return i=s.apply(o,[l.sent()]),Pe(a),u=[],i.forEach(function(t){if(null==n[t])throw new Error("classWeight must contain all classes in the training data. The class "+t+" exists in the data but not in classWeight");u.push(n[t])}),[2,pn(u,"float32")];case 2:return[2,null]}})})}function Cm(t,e){return gu(t,e)}var Nm=32;function Sm(t,e){var n,r,a=e;n=a.xs,r=a.ys,Q.assert(null!=n&&null!=r,function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+e});var i=Im("input",t.inputNames,n),o=Im("output",t.outputNames,r),s=i[0].shape[0];Q.assert(i.length===t.inputs.length,function(){return"LayersModel has "+t.inputs.length+" inputs, but the dataset provides "+i.length+" inputs.  (Expected input keys: "+JSON.stringify(t.inputNames)+")"}),Q.assert(o.length===t.outputs.length,function(){return"LayersModel has "+t.outputs.length+" outputs, but the dataset provides "+o.length+" outputs.  (Expected output keys: "+JSON.stringify(t.outputNames)+")"});var u=function(e){Q.assert(i[e].shape[0]===s,function(){return"Batch size mismatch: input "+t.inputNames[e]+" has "+i[e].shape[0]+"; expected  "+s+" based on input "+t.inputNames[0]+"."})};for(var l in i)u(l);var c=function(e){Q.assert(o[e].shape[0]===s,function(){return"Batch size mismatch: output "+t.outputNames[e]+" has "+o[e].shape[0]+"; expected  "+s+" based on input "+t.inputNames[0]+"."})};for(var p in o)c(p);return{xs:i,ys:o}}function Im(t,e,n){if(n instanceof ht)return[n];if(Array.isArray(n))return Q.assert(n.length===e.length,function(){return"Received an array of "+n.length+" Tensors, but expected "+e.length+" to match the "+t+" keys "+e+"."}),n;for(var r=[],a=0,i=e;a<i.length;a++){var o=i[a];if(null==n[o])throw new wh("The feature data generated by the dataset lacks the required "+t+" key '"+o+"'.");r.push(n[o])}return r}function km(t,e,n){return gh(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,S,I,k,E,A,R,T,D,O,_,F,M,z;return vh(this,function(L){switch(L.label){case 0:if(r=null!=n.batchesPerEpoch,Q.assert(null!=t.optimizer,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),Q.assert(null!=n,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),Q.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}),Q.assert(!r||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}),Q.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,L.label=1;case 1:return L.trys.push([1,,26,27]),a=null!=n.validationData,i=void 0,o=void 0,a&&(Em(n.validationData)?Q.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}):(s=function(t){if(3===t.length)throw new Ch("Validation with sample weights is not implemented yet.");return{xs:t[0],ys:t[1]}}(n.validationData),i=s.xs,o=s.ys)),u=t.makeTrainFunction(),l=t.getDedupedMetricsNames(),c=void 0,c=a?l.slice().concat(l.map(function(t){return"val_"+t})):l.slice(),p=Md(n.callbacks,n.yieldEvery),h=null==n.verbose?1:n.verbose,f=Ld(p,h,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,a,c),d=f.callbackList,m=f.history,d.setModel(t),t.history=m,[4,d.onTrainBegin()];case 2:return L.sent(),t.stopTraining_=!1,g=null==n.initialEpoch?0:n.initialEpoch,[4,e.iterator()];case 3:v=L.sent(),L.label=4;case 4:return g<n.epochs?(y={},[4,d.onEpochBegin(g)]):[3,23];case 5:return L.sent(),b=0,x=0,r?[3,7]:[4,e.iterator()];case 6:v=L.sent(),L.label=7;case 7:return!r||b<n.batchesPerEpoch?[4,v.next()]:[3,21];case 8:return w=L.sent(),r&&w.done?(console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+b+" 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."),[3,21]):null==w.value?[3,15]:(C=Sm(t,w.value),N=C.xs,S=C.ys,(I={}).batch=x,I.size=N[0].shape[0],[4,d.onBatchBegin(x,I)]);case 9:if(L.sent(),k=[],null==n.classWeight)return[3,13];E=xm(n.classWeight,t.outputNames),z=0,L.label=10;case 10:return z<E.length?(R=(A=k).push,[4,wm(S[z],null,E[z])]):[3,13];case 11:R.apply(A,[L.sent()]),L.label=12;case 12:return++z,[3,10];case 13:for(T=N.concat(S).concat(k),D=u(T),Pe(T),z=0;z<l.length;++z)O=l[z],_=D[z],I[O]=_,We(_);return[4,d.onBatchEnd(x,I)];case 14:L.sent(),Ad(I),x++,b++,L.label=15;case 15:return(r?b>=n.batchesPerEpoch:w.done)?a?(F=void 0,Em(n.validationData)?(M=Ah,[4,t.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return F=M.apply(void 0,[L.sent()]),[3,18];case 17:F=Ah(t.evaluate(i,o,{batchSize:null==n.validationBatchSize?Nm:n.validationBatchSize,verbose:0})),L.label=18;case 18:for(z=0;z<t.metricsNames.length;++z)y["val_"+t.metricsNames[z]]=F[z];L.label=19;case 19:return[3,21];case 20:return t.stopTraining_?[3,21]:[3,7];case 21:return[4,d.onEpochEnd(g,y)];case 22:return L.sent(),g++,t.stopTraining_?[3,23]:[3,4];case 23:return[4,d.onTrainEnd()];case 24:return L.sent(),[4,t.history.syncData()];case 25:return L.sent(),[2,t.history];case 26:return t.isTraining=!1,[7];case 27:return[2]}})})}function Em(t){return"function"==typeof t.iterator}function Am(t){Q.assert(t>0&&Number.isInteger(t),function(){return"batchSize is required to be a positive integer, but got "+t})}function Rm(t,e,n){return null==t?[null]:Array.isArray(t)?t.map(function(t){return Cf(t,e,n-e)}):Cf(t,e,n-e)}function Tm(t,e){return Be(function(){return null==t?null:Array.isArray(t)?t.map(function(t){return Tm(t,e)}):Tf(t,"int32"===e.dtype?e:e.toInt())})}function Dm(t,e){for(var n=[],r=0,a=null;r<t;)(a=r+e)>=t&&(a=t),n.push([r,a]),r=a;return n}function Om(t,e,n,r){return void 0===r&&(r={}),gh(this,void 0,void 0,function(){var a,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,S,I;return vh(this,function(k){switch(k.label){case 0:if(t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,k.label=1;case 1:return k.trys.push([1,,7,8]),Am(p=null==r.batchSize?32:r.batchSize),h=!1,[4,t.standardizeUserData(e,n,r.sampleWeight,r.classWeight,h,p)];case 2:if(f=k.sent(),a=f[0],i=f[1],c=f[2],d=!1,m=void 0,!(null!=r.validationData&&r.validationData.length>0))return[3,4];if(d=!0,2!==r.validationData.length)throw 3===r.validationData.length?new Ch("validationData including sample weights is not supported yet."):new wh("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");return o=r.validationData[0],s=r.validationData[1],g=!0,[4,t.standardizeUserData(o,s,null,null,g,p)];case 3:return v=k.sent(),u=v[0],l=v[1],m=u.concat(l),[3,5];case 4:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(d=!0,y=Math.floor(a[0].shape[0]*(1-r.validationSplit)),b=a[0].shape[0],u=Rm(a,y,b),a=Rm(a,0,y),l=Rm(i,y,b),i=Rm(i,0,y),m=u.concat(l)):null!=r.validationSteps&&(d=!0),k.label=5;case 5:return x=a.concat(i).concat(c),t.checkTrainableWeightsConsistency(),w=t.makeTrainFunction(),C=t.getDedupedMetricsNames(),N=void 0,S=void 0,d?(t.makeTestFunction(),N=t.testFunction,S=C.slice().concat(C.map(function(t){return"val_"+t}))):(N=null,m=[],S=C.slice()),I=Md(r.callbacks,r.yieldEvery),[4,function(t,e,n,r,a,i,o,s,u,l,c,p,h,f,d){return gh(this,void 0,void 0,function(){var m,g,v,y,b,x,w,C;return vh(this,function(N){switch(N.label){case 0:if(null==a&&(a=32),null==i&&(i=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=u&&null!=l&&(m=!0),null!=d&&(m=!0,null==f))throw new wh("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return null!=(g=t.checkNumSamples(n,a,f,"steps_per_epoch"))&&(v=bf(0,g)),null==o&&(o=1),y=Ld(s,o,i,h,g,f,a,m,p),b=y.callbackList,x=y.history,b.setModel(t),t.history=x,[4,b.onTrainBegin()];case 1:N.sent(),t.stopTraining_=!1,w=function(i){var o,s,p,h,d;return vh(this,function(y){switch(y.label){case 0:return[4,b.onEpochBegin(i)];case 1:if(y.sent(),o={},null==f)return[3,2];throw new Ch("stepsPerEpoch mode is not implemented yet.");case 2:if("batch"===c)throw new Ch("batch shuffling is not implemneted yet");c&&Q.shuffle(v),s=pn(v),p=Dm(g,a),h=function(i){var c;return vh(this,function(h){switch(h.label){case 0:return c={},[4,b.onBatchBegin(i,c)];case 1:return h.sent(),Be(function(){var h=p[i][0],f=p[i][1],d=Cf(s,h,f-h);c.batch=i,c.size=f-h;for(var g=Tm(n,d),v=e(g),y=0;y<r.length;++y){var b=r[y],x=v[y];c[b]=x,We(x)}if(i===p.length-1&&m){var w=t.testLoop(u,l,a);for(y=0;y<r.length;++y)b=r[y],We(x=w[y]),o["val_"+b]=x}}),[4,b.onBatchEnd(i,c)];case 2:return h.sent(),Ad(c),t.stopTraining_?[2,"break"]:[2]}})},d=0,y.label=3;case 3:return d<p.length?[5,h(d)]:[3,6];case 4:if("break"===y.sent())return[3,6];y.label=5;case 5:return++d,[3,3];case 6:s.dispose(),y.label=7;case 7:return[4,b.onEpochEnd(i,o)];case 8:return y.sent(),t.stopTraining_?[2,"break"]:[2]}})},C=h,N.label=2;case 2:return C<i?[5,w(C)]:[3,5];case 3:if("break"===N.sent())return[3,5];N.label=4;case 4:return++C,[3,2];case 5:return[4,b.onTrainEnd()];case 6:return N.sent(),[4,t.history.syncData()];case 7:return N.sent(),[2,t.history]}})})}(t,w,x,C,p,r.epochs,r.verbose,I,N,m,r.shuffle,S,r.initialEpoch,null,null)];case 6:return[2,k.sent()];case 7:return t.isTraining=!1,Fm(a,e),Fm(i,n),Fm(u,o),Fm(l,s),null!=c&&Pe(c),[7];case 8:return[2]}})})}function _m(t){var e=[];t instanceof ht&&(t=[t]);for(var n=0;n<t.length;++n){var r=t[n];if(1===r.rank)e.push(wf(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");e.push(r)}}return e}function Fm(t,e){if(null!=t){var n=[];if(e instanceof ht)n.push(e.id);else if(Array.isArray(e))e.forEach(function(t){return n.push(t.id)});else if(null!=e)for(var r in e){var a=e[r];n.push(a.id)}var i=[];if(t instanceof ht)-1===n.indexOf(t.id)&&i.push(t);else if(Array.isArray(t))t.forEach(function(t){-1===n.indexOf(t.id)&&i.push(t)});else if(null!=t)for(var o in t){var s=t[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach(function(t){t.isDisposed||t.dispose()})}}function Mm(t){return Array.isArray(t)}function zm(t){return!function(t){return t instanceof ht}(t)&&!Mm(t)}function Lm(t,e,n,r,a){if(void 0===r&&(r=!0),void 0===a&&(a=""),null==e||0===e.length){if(null!=t){var i=!1;if(Mm(t)&&t.length>0)i=!0;else if(zm(t)){for(var o in t)if(t.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new wh("Error when checking model "+a+" expected no data, but got "+t)}return[]}if(null==t)return e.map(function(t){return null});var s;if(zm(t)){t=t,s=[];for(var u=0,l=e;u<l.length;u++){var c=l[u];if(null==t[c])throw new wh('No data provided for "'+c+'". Need data for each key in: '+e);s.push(t[c])}}else if(Mm(t)){if((t=t).length!==e.length)throw new wh("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+e.length+" Tensor(s), but instead got the following list of Tensor(s): "+t);s=t}else{if(t=t,e.length>1)throw new wh("The model "+a+" expects "+e.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+t.shape);s=[t]}if(s=_m(s),null!=n)for(var p=0;p<e.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new wh("Error when checking "+a+": expected "+e[p]+" to have "+n[p].length+" dimension(s). but got array with shape "+h.shape);for(var f=0;f<n[p].length;++f)if(0!==f||r){var d=h.shape[f],m=n[p][f];if(null!=m&&m>=0&&d!==m)throw new wh("Error when checking "+a+": expected "+e[p]+" to have shape ["+n[p]+"], but got array with shape ["+h.shape+"].")}}return s}function Bm(t,e,n,r,a){var i;if(void 0===r&&(r=!0),void 0===a&&(a=""),Array.isArray(t)){if(t.length!==e.length)throw new wh("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see "+e.length+" Tensor(s), but instead got "+t.length+" Tensors(s).");i=t}else{if(e.length>1)throw new wh("The model expects "+e.length+" "+a+" Tensors, but only received one Tensor. Found: array with shape "+JSON.stringify(t.shape)+".");i=[t]}if(null!=n)for(var o=0;o<e.length;++o)if(null!=n[o]){var s=i[o];if(s.shape.length!==n[o].length)throw new wh("Error when checking "+a+": expected "+e[o]+" to have "+n[o].length+" dimension(s), but got array with shape "+JSON.stringify(s.shape));for(var u=0;u<n[o].length;++u)if(0!==u||r){var l=s.shape[u],c=n[o][u];if(null!=c&&c!==l)throw new wh("Error when checking "+a+": expected "+e[o]+" to have shape "+JSON.stringify(n[o])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var Pm=function(t){function e(e){var n=t.call(this,e)||this;return n.isTraining=!1,n}return fh(e,t),e.prototype.summary=function(t,e,n){if(void 0===n&&(n=console.log),!this.built)throw new wh("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");um(this,t,e,n)},e.prototype.compile=function(t){var e=this;if(null==t.loss&&(t.loss=[]),this.loss=t.loss,"string"==typeof t.optimizer)this.optimizer_=function(t){var e={Adagrad:function(){return lh.adagrad(.01)},Adadelta:function(){return lh.adadelta(1,.95,yh())},Adam:function(){return lh.adam(.001,.9,.999,yh())},Adamax:function(){return lh.adamax(.002,.9,.999,yh(),0)},RMSProp:function(){return lh.rmsprop(.001,.9,0,yh())},SGD:function(){return lh.sgd(.01)}};if(e.adagrad=e.Adagrad,e.adadelta=e.Adadelta,e.adam=e.Adam,e.adamax=e.Adamax,e.rmsprop=e.RMSProp,e.sgd=e.SGD,t in e)return e[t]();throw new wh("Unknown Optimizer "+t)}(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof th))throw new wh("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(t.loss)||"string"==typeof t.loss||"function"==typeof t.loss)if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new wh("When passing an Array as loss, it should have one entry per model output. The model has "+this.outputs.length+" output(s), but you passed loss="+t.loss+".");var r=t.loss;n=r.map(function(t){return Xd(t)})}else{var a=Xd(t.loss);this.outputs.forEach(function(t){n.push(a)})}else{for(var i in t.loss=t.loss,t.loss)if(-1===this.outputNames.indexOf(i))throw new wh('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o=0,s=this.outputNames;o<s.length;o++){var u=s[o];null==t.loss[u]&&console.warn('Output "'+u+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+u+" during training"),n.push(Xd(t.loss[u]))}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var c=this.internalOutputShapes[l],p=this.outputNames[l];this.feedOutputNames.push(p),this.feedOutputShapes.push(c),this.feedLossFns.push(this.lossFunctions[l])}var h=[];this.metrics=t.metrics,this.metricsNames=["loss"],this.metricsTensors=[],lf("loss",function(){for(var t=0;t<e.outputs.length;++t)if(-1===h.indexOf(t)){var n=e.lossFunctions[t];e.outputs.length>1&&(e.metricsTensors.push([n,t]),e.metricsNames.push(e.outputNames[t]+"_loss"))}});var f=function(t,e){if(null==t||Array.isArray(t)&&0===t.length)return e.map(function(t){return[]});var n;if("string"==typeof t||"function"==typeof t)n=[t];else{if(!Array.isArray(t)&&"object"!=typeof t)throw new TypeError("Type of metrics argument not understood. Expected an string,function, Array, or Object, found: "+t);n=t}if(Array.isArray(n))return e.map(function(t){return n});for(var r=[],a=0,i=e;a<i.length;a++){var o=i[a],s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),r.push(s)}return r}(t.metrics,this.outputNames);lf("metric",function(){for(var t=function(t){if(-1!==h.indexOf(t))return"continue";!function(n){for(var r,a,i,o=function(n){if("string"==typeof n&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(n)){var o=e.internalOutputShapes[t];1===o[o.length-1]||e.lossFunctions[t]===qd?-1!==["accuracy","acc"].indexOf(n)?a=$d:-1!==["crossentropy","ce"].indexOf(n)&&(a=tm):e.lossFunctions[t]===Gd?-1!==["accuracy","acc"].indexOf(n)?a=em:-1!==["crossentropy","ce"].indexOf(n)&&(a=rm):-1!==["accuracy","acc"].indexOf(n)?a=Yd:-1!==["crossentropy","ce"].indexOf(n)&&(a=nm);var s=void 0;-1!==["accuracy","acc"].indexOf(n)?s="acc":-1!==["crossentropy","ce"].indexOf(n)&&(s="ce"),i=a,r=""+s}else{var u=function(t){if("string"==typeof t&&t in am)return am[t];if("string"!=typeof t&&null!=t)return t;throw new wh("Unknown metric "+t)}(n);i=u,r=""+im(n)}var l;lf(r,function(){l=i}),function(t,n,r){e.outputNames.length>1&&(n=e.outputNames[t]+"_"+n),e.metricsNames.push(n),e.metricsTensors.push([r,t])}(t,r,l)},s=0,u=f[t];s<u.length;s++)o(u[s])}()},n=0;n<e.outputs.length;++n)t(n)}),this.collectedTrainableWeights=this.trainableWeights},e.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},e.prototype.evaluate=function(t,e,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;Am(r);var a=this.standardizeUserDataXY(t,e,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return Eh(this.testLoop(o,i,r,n.verbose,n.steps))}finally{Fm(a[0],t),Fm(a[1],e)}},e.prototype.evaluateDataset=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return gh(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,p,h;return vh(this,function(f){switch(f.label){case 0:if(r=null!=(n=n||{}).batches,a=t.testFunction,i=[],n.verbose>0)throw new Ch("Verbose mode is not implemented yet.");return Q.assert(!r||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(t){return"function"==typeof t.next}(e)?(s=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:s=f.sent(),f.label=3;case 3:o=s,u=0,l=0,c=function(){var e;return vh(this,function(s){switch(s.label){case 0:return[4,o.next()];case 1:return e=s.sent(),i=Be(function(){if(e.value){var n=Sm(t,e.value),r=n.xs,o=n.ys,s=r.concat(o),c=Be(function(){return a(s)});if(Pe(s),0===l)for(var p=0;p<c.length;++p)i.push(cn(0));var h=s[0].shape[0],f=function(t){var e=c[t],n=i[t];i[t]=Be(function(){return ru(i[t],gu(h,e))}),l>0&&Pe(n)};for(p=0;p<c.length;++p)f(p);Pe(c),u+=h,++l}return i}),e.done?(r&&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). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return!r||l<n.batches?[5,c()]:[3,6];case 5:return"break"===f.sent()?[3,6]:[3,4];case 6:for(p=0;p<i.length;++p)h=i[p],i[p]=su(i[p],u),Pe(h);return[2,Eh(i)]}})})}(this,t,e)]})})},e.prototype.checkNumSamples=function(t,e,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=e)throw new wh("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new wh("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return a},e.prototype.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new wh("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],a=this.retrieveSymbolicTensors(r),i=new dm;if(t instanceof ht&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new wh("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],t[o])}else for(var s=0,u=this.inputs;s<u.length;s++){var l=u[s],c=t[l.name];if(null==c)throw new wh("No value is provided for the model's input "+l.name);i.add(l,c)}var p=vm(a,i);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=Sh(null,t.length),n=t.length,r=0,a=this.layers;r<a.length;r++){for(var i=a[r],o=Array.isArray(i.output)?i.output:[i.output],s=o.map(function(t){return t.name}),u=0;u<t.length;++u){var l=s.indexOf(t[u]);if(-1!==l&&(e[u]=o[l],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw e.forEach(function(e,n){null==e&&c.push(t[n])}),new wh("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return e},e.prototype.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),Be(function(){var a=r.checkNumSamples(t);if(n)throw new Ch("Verbose predictLoop() is not implemented yet.");for(var i=Dm(a,e),o=r.outputs.map(function(t){return[]}),s=function(e){Be(function(){var n=i[e][0],a=i[e][1],o=Rm(t,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new dm(s);return vm(r.outputs,l)}).forEach(function(t,e){return o[e].push(t)})},u=0;u<i.length;++u)s(u);return Eh(o.map(function(t){return In(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=_m(t);Bm(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return Am(r),this.predictLoop(n,r)}finally{Fm(n,t)}},e.prototype.predictOnBatch=function(t){Bm(t,this.inputNames,this.feedInputShapes,!0);var e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)},e.prototype.standardizeUserDataXY=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new xh("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===Gd?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(t,e,n){var r=Mh(t.map(function(t){return t.shape[0]}));r.sort();var a=Mh(e.map(function(t){return t.shape[0]}));if(a.sort(),r.length>1)throw new wh("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(a.length>1)throw new wh("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(r.length>0&&a.length>0&&!Q.arraysEqual(r,a))throw new wh("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(t=Lm(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=Lm(e,this.feedOutputNames,a,!1,"target")),function(t,e,n){for(var r=[Wd,qd,jd],a=0;a<t.length;++a){var i=t[a],o=e[a],s=n[a];if(null!=o){if(o===jd&&1===i.shape[i.shape.length-1])throw new wh("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new wh("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new wh("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e]},e.prototype.standardizeUserData=function(t,e,n,r,a,i){return void 0===a&&(a=!0),gh(this,void 0,void 0,function(){var o,s,u,l,c,p,h,f;return vh(this,function(d){switch(d.label){case 0:if(o=this.standardizeUserDataXY(t,e,a,i),s=o[0],u=o[1],null!=n)throw new Error("sample weight is not supported yet.");if(l=null,null==r)return[3,4];c=xm(r,this.outputNames),l=[],p=0,d.label=1;case 1:return p<c.length?(f=(h=l).push,[4,wm(u[p],null,c[p])]):[3,4];case 2:f.apply(h,[d.sent()]),d.label=3;case 3:return++p,[3,1];case 4:return[2,[s,u,l]]}})})},e.prototype.testLoop=function(t,e,n,r,a){var i=this;return void 0===r&&(r=0),Be(function(){var o=i.checkNumSamples(e,n,a,"steps"),s=[];if(r>0)throw new Ch("Verbose mode is not implemented yet.");if(null!=a)throw new Ch("steps mode in testLoop() is not implemented yet");for(var u=Dm(o,n),l=pn(bf(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=Cf(l,p,h-p),d=Tm(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(cn(0));for(g=0;g<m.length;++g){var v=m[g];s[g]=ru(s[g],gu(h-p,v))}}for(g=0;g<s.length;++g)s[g]=su(s[g],o);return s})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],a=r;kh(t,r)>1&&(a+="_"+kh(t.slice(0,n),r)),e.push(a)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=[],r=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),i=e.slice(t.inputs.length+t.outputs.length,t.inputs.length+2*t.outputs.length),o=[],s=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer_.minimize(function(){for(var e=[],s=0;s<t.inputs.length;++s)e.push({key:t.inputs[s],value:r[s]});var u,l=new dm(e),c=vm(t.outputs,l,{training:!0});for(s=0;s<t.lossFunctions.length;++s){var p=(0,t.lossFunctions[s])(a[s],c[s]);null!=i[s]&&(p=Cm(p,i[s]));var h=Al(p);n.push(h),u=0===s?p:ru(u,p)}for(s=0;s<t.metricsTensors.length;++s){var f=void 0;if(t.outputs.length>1&&s<t.outputs.length)f=n[s];else{var d=t.metricsTensors[s][0],m=t.metricsTensors[s][1];f=Al(d(a[m],c[m]))}We(f),o.push(f)}return u=Al(u),t.calculateLosses().forEach(function(t){u=ru(u,t)}),u},!0,s)].concat(o)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return Be(function(){for(var n,r=[],a=e.slice(0,t.inputs.length),i=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=[],s=0;s<t.inputs.length;++s)o.push({key:t.inputs[s],value:a[s]});var u=new dm(o),l=vm(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=Al(c(i[s],l[s]));n=0===s?p:ru(n,p),r.push(n)}for(s=0;s<t.metricsTensors.length;++s){var h=t.metricsTensors[s][0],f=t.metricsTensors[s][1],d=Al(h(i[f],l[f]));r.push(d)}return r})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),gh(this,void 0,void 0,function(){return vh(this,function(r){return[2,Om(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){return[2,km(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return gh(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l,c;return vh(this,function(p){switch(p.label){case 0:return[4,this.standardizeUserData(t,e)];case 1:n=p.sent(),r=n[0],a=n[1],i=this.makeTrainFunction(),o=i(r.concat(a)),s=[],u=0,l=o,p.label=2;case 2:return u<l.length?[4,l[u].data()]:[3,5];case 3:c=p.sent(),s.push(c[0]),p.label=4;case 4:return u++,[3,2];case 5:return Pe(o),[2,Eh(s)]}})})},e.prototype.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||e.push({name:r[i].originalName,tensor:a[i]});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=Le().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Le().numTensors}return e},e.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=Rh(this.loss);else if(Array.isArray(this.loss)){for(var e=0,n=this.loss;e<n.length;e++)if("string"!=typeof n[e])throw new Error("Serialization of non-string loss is not supported.");t=this.loss.map(function(t){return Rh(t)})}else{var r=Object.keys(this.loss);t={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");t[s]=Rh(a[s])}}return t},e.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[Rh(im(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(t){return Rh(im(t))});var t={};for(var e in this.metrics)t[e]=Rh(im(this.metrics[e]));return t},e.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},e.prototype.loadTrainingConfig=function(t){if(null!=t.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=t.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=t.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var e,n,r=Bd(fm(t.optimizer_config));if("string"==typeof t.loss)e=Th(t.loss);else if(Array.isArray(t.loss))e=t.loss.map(function(t){return Th(t)});else if(null!=t.loss)for(var a in e={},t.loss)e[a]=Th(t.loss[a]);if(Array.isArray(t.metrics))n=t.metrics.map(function(t){return Th(t)});else if(null!=t.metrics)for(var a in n={},t.metrics)n[a]=Th(t.metrics[a]);this.compile({loss:e,metrics:n,optimizer:r})},e.prototype.save=function(t,e){return gh(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l,c,p,h,f,d,m;return vh(this,function(g){switch(g.label){case 0:if("string"==typeof t){if(0===(n=Bp.getSaveHandlers(t)).length)throw new wh("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new wh("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new wh("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,Bp.encodeWeights(this.getNamedWeights(e))];case 1:return r=g.sent(),a=!1,i=null,o=this.toJSON(i,a),s={modelTopology:o,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.3.1",convertedBy:null},null!=e&&e.includeOptimizer&&null!=this.optimizer?(s.trainingConfig=this.getTrainingConfig(),u="optimizer",f=(h=Bp).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,f.apply(h,[g.sent(),u])];case 3:l=g.sent(),c=l.data,p=l.specs,(m=r.specs).push.apply(m,p),r.data=Bp.concatenateArrayBuffers([r.data,c]),g.label=4;case 4:return null!=this.userDefinedMetadata&&(d=!0,sm(this.userDefinedMetadata,this.name,d),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=r.data,s.weightSpecs=r.specs,[2,t.save(s)]}})})},e.prototype.setUserDefinedMetadata=function(t){sm(t,this.name),this.userDefinedMetadata=t},e.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},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 a=r.getClassName().toLowerCase();r.name=ud(a)}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],Mh(r.inputs).length!==r.inputs.length)throw new wh("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}));Mh(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=[],r.internalContainerRefs=[];for(var i=0,o=r.outputs;i<o.length;i++){var s=(k=o[i]).sourceLayer,u=k.nodeIndex,l=k.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(l)}for(var c=0,p=r.inputs;c<p.length;c++)s=(k=p[c]).sourceLayer,u=k.nodeIndex,l=k.tensorIndex,Ih(0===u,"input layer has >1 nodes"),Ih(0===l,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(l);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof Id))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+h+" (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 f=0,d=r.outputLayers;f<d.length;f++)s=d[f],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 m={},g={},v={},y={},b={},x=[],w=function(t,n,a,i,o,s){null!=i&&null!=o&&null!=s||(i=t.sourceLayer,o=t.nodeIndex,s=t.tensorIndex);var u=i.inboundNodes[o];if(-1!==a.indexOf(u))throw new xh("The tensor "+t.name+' at layer "'+i.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(i,o)),i.id in b||(b[i.id]=Object.keys(b).length),-1===a.indexOf(u)&&a.push(u);for(var l=u.inboundLayers.length,c=0;c<l;c++){var p=u.inputTensors[c],h=u.inboundLayers[c],f=u.nodeIndices[c],d=u.tensorIndices[c];w(p,n,a,h,f,d)}for(n.push(u);a.indexOf(u)>=0;)a.splice(a.indexOf(u),1);x.push(u)}},C=[],N=[],S=0,I=r.outputs;S<I.length;S++){var k=I[S];w(k,C,N)}for(var E=0,A=x.slice().reverse();E<A.length;E++){g[(Y=A[E]).id]=Y,Y.id in m||(m[Y.id]=0);var R=m[Y.id],T=null==v[Y.outboundLayer.id]?0:v[Y.outboundLayer.id];for(R=Math.max(R,T),v[Y.outboundLayer.id]=R,y[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=R,h=0;h<Y.inboundLayers.length;h++){var D=Y.inboundLayers[h],O=(u=Y.nodeIndices[h],D.inboundNodes[u]),_=null==m[O.id]?0:m[O.id];m[O.id]=Math.max(R+1,_),g[O.id]=O}}var F={};for(var M in m)(R=m[M])in F||(F[R]=[]),F[R].push(g[M]);var z={};for(var L in v)(R=v[L])in z||(z[R]=[]),z[R].push(y[L]);var B=Object.keys(z).map(function(t){return parseInt(t,10)}).sort(Fh);r.layers=[];for(var P=0,W=B;P<W.length;P++){var V=z[R=W[P]];V.sort(function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0});for(var U=0,j=V;U<j.length;U++)(s=j[U])instanceof e&&r.internalContainerRefs.push(s),r.layers.push(s)}r.layersByDepth=z,B=Object.keys(F).map(function(t){return parseInt(t,10)}).sort(Fh);for(var G=r.inputs.slice(),q=[],H=0,K=B;H<K.length;H++)for(var X=0,$=F[R=K[H]];X<$.length;X++){var Y;if(null!=(s=(Y=$[X]).outboundLayer)){for(var J=0,Z=Y.inputTensors;J<Z.length;J++)if(k=Z[J],-1===G.indexOf(k))throw new xh("Graph disconnected: cannot obtain value for tensor "+k+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+q);for(var Q=0,tt=Y.outputTensors;Q<tt.length;Q++)k=tt[Q],G.push(k);q.push(s.name)}}r.nodesByDepth=F;for(var et=r.layers.map(function(t){return t.name}),nt=function(t){var e=et.filter(function(e){return e===t}).length;if(1!==e)throw new xh('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(et))},rt=0,at=et;rt<at.length;rt++)nt(at[rt]);return r.outboundNodes=[],r.inboundNodes=[],new wd({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 fh(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}for(var a=0,i=this.internalContainerRefs;a<i.length;a++){var o=i[a];t.numDisposedVariables+=o.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 wh("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 a=[],i=0,o=this.layers;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.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,a=0,i=this.layers;a<i.length;a++)for(var o=0,s=i[a].weights;o<s.length;o++){var u=s[o];if(null!=n[u.originalName])throw new wh("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var l=[];for(var c in t){if(null!=n[c])l.push([n[c],t[c]]);else if(e)throw new wh("Provided weight data has no target variable: "+c);delete n[c]}if(e){var p=[];for(var h in n)p.push(h);if(p.length>0)throw new wh(p.length+" of "+r+" weights are not set: "+p)}vd(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.3.1",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 Rh(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var r=[],a=e.length,i=0;i<a;++i){var o=e[i];hm(n,i,o)?r.push(o):r.push(t(o,n))}return r}for(var s={},u=0,l=Object.keys(e);u<l.length;u++){var c=l[u],p=e[c];s[Rh(c)]="name"!==c&&"className"!==c||"string"!=typeof p?t(p,c):p}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return Be(function(){t=Ah(t);for(var r=new dm,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],t[a]);return vm(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return Be(function(){var r;return t=Ah(t),r=null==e?Sh(null,t.length):Ah(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=cd(t);if(e.length!==this.inputLayers.length)throw new wh("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var a=this.inputLayers[r],i=e[r];n[N=a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Fh);if(o.length>1)for(var s=0,u=o;s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){var h=p[c];if(a=h.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(a.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],v=h.tensorIndices[d],y=n[N=m.name+"_"+g+"_"+v];f.push(y)}var b=cd(a.computeOutputShape(Eh(f))),x=a.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[N=a.name+"_"+x+"_"+d]=b[d]}}var w=[],C=[];for(r=0;r<this.outputLayers.length;r++){a=this.outputLayers[r],x=this.outputLayersNodeIndices[r],v=this.outputLayersTensorIndices[r];var N=a.name+"_"+x+"_"+v;C.push(N)}for(r=0;r<C.length;r++){var S=C[r];Ih(S in n),w.push(n[S])}return Eh(w)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=Sh(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=t[r],o=e[r];n[a.id]=[i,o]}for(var s=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Fh);s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){for(var h=p[c],f=h.outboundLayer,d=h.inputTensors,m=h.outputTensors,g=new Array,v=0,y=d;v<y.length;v++)(a=y[v]).id in n&&g.push(n[a.id]);if(g.length===d.length){var b={},x=void 0,w=void 0,C=void 0,N=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var S=g[0],I=S[0],k=S[1];null==b.mask&&(b.mask=k),C=Ah(f.call(I,b)),N=Ah(f.computeMask(I,k)),x=[I],w=[k]}else x=g.map(function(t){return t[0]}),w=g.map(function(t){return t[1]}),null==b.mask&&(b.mask=w),C=Ah(f.call(x,b)),N=Ah(f.computeMask(x,w));if(f.activityRegularizer)throw new Ch("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<m.length;++r)a=m[r],i=C[r],o=N[r],n[a.id]=[i,o]}}for(var E=[],A=[],R=[],T=0,D=this.outputs;T<D.length;T++){Ih((a=D[T]).id in n,"Could not compute output "+a.name+" : "+a.id);var O=n[a.id],_=O[0];o=O[1],R.push(_.shape),E.push(_),A.push(o)}return[E,A,R]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},a=0,i=this.layers;a<i.length;a++){var o=i[a];n=o instanceof e?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=e.nodeKey(o,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 wh("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 wh("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var a=r[n];if(a.name===t)return a}throw new wh("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return Be(function(){for(var n=[],r=0,a=t.layers;r<a.length;r++)for(var i=a[r],o=0;o<i.inboundNodes.length;++o){var s=e.nodeKey(i,o);t.containerNodes.has(s)&&n.push.apply(n,i.calculateLosses())}return n})},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],a=0,i=this.layers;a<i.length;a++){for(var o=(x=i[a]).getClassName(),s=x.getConfig(),u=[],l=0;l<x.inboundNodes.length;l++){var c=x.inboundNodes[l],p=e.nodeKey(x,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+x.name+" was passed non-serializable keyword arguments: "+c.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),h={}}if(c.inboundLayers.length>0){for(var f=[],d=0;d<c.inboundLayers.length;d++){var m=c.inboundLayers[d],g=c.nodeIndices[d],v=c.tensorIndices[d];null==(C=n[e.nodeKey(m,g)])&&(C=0),f.push([m.name,C,v,h])}u.push(f)}}}var y={};y.name=x.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var x=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p)&&(null!==(C=n[p])&&void 0!==C||(C=0),v=this.inputLayersTensorIndices[d],b.push([x.name,C,v]))}t.inputLayers=b;var w=[];for(d=0;d<this.outputLayers.length;d++){var C;if(x=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(x,g),this.containerNodes.has(p))null!==(C=n[p])&&void 0!==C||(C=0),v=this.outputLayersTensorIndices[d],w.push([x.name,C,v])}return t.outputLayers=w,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var a={},i={};function o(t,e){t.name in i?i[t.name].push(e):i[t.name]=[e]}function s(t,e){for(var n,r=[],i=0,s=e;i<s.length;i++){var u=s[i],l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in a))return void o(t,e);var h=a[l];if(h.inboundNodes.length<=c)return void o(t,e);var f=h.inboundNodes[c];r.push(f.outputTensors[p])}r.length>0&&t.apply(Eh(r),n)}function u(t){var n=t.name,i=Bd(t,null!=e.customObjects?e.customObjects:{});i.setFastWeightInitDuringBuild(r),a[n]=i,t.inboundNodes.forEach(function(t){if(!(t instanceof Array))throw new wh("Corrupted configuration, expected array for nodeData: "+t);o(i,t)})}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!zh(i);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((R=a[m.name]).name in i){var g=i[R.name];delete i[R.name];for(var v=0,y=g;v<y.length;v++)s(R,y[v])}}for(var b=[],x=[],w=0,C=e.inputLayers;w<C.length;w++){var N=(m=C[w])[0],S=m[1],I=m[2];Ih(N in a);var k=(R=a[N]).inboundNodes[S].outputTensors;b.push(k[I])}for(var E=0,A=e.outputLayers;E<A.length;E++){var R;N=(m=A[E])[0],S=m[1],I=m[2],Ih(N in a),k=(R=a[N]).inboundNodes[S].outputTensors,x.push(k[I])}return new t({inputs:b,outputs:x,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new wh("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;Be(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(Nd));function Wm(t,e){return gh(this,void 0,void 0,function(){var n;return vh(this,function(r){if(null==e&&(e={}),"string"==typeof t){if(0===(n=Bp.getLoadHandlers(t,e.onProgress)).length)n.push(Bp.browserHTTPRequest(t,e));else if(n.length>1)throw new wh("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return gh(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,p;return vh(this,function(h){switch(h.label){case 0:if(null==n&&(n={}),null==t.load)throw new wh("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(r=h.sent(),null!=(a=r.modelTopology).model_config&&(a=a.model_config),i=null==n.strict||n.strict,o=null!=r.weightData&&null!=r.weightSpecs&&i,s=Bd(fm(a),e,o),null!=(u=r.trainingConfig)&&s.loadTrainingConfig(u),null!=r.userDefinedMetadata&&s.setUserDefinedMetadata(r.userDefinedMetadata),null==r.weightData)return[3,4];if(null==r.weightSpecs)throw new wh("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return l=function(t,e){var n=Bp.decodeWeights(t,e),r={},a=[];return e.forEach(function(t){"optimizer"===t.group?a.push({name:t.name,tensor:n[t.name]}):r[t.name]=n[t.name]}),{modelWeights:r,optimizerWeights:a}}(r.weightData,r.weightSpecs),c=l.modelWeights,p=l.optimizerWeights,s.loadWeights(c,i),null!=s.optimizer&&p.length>0?[4,s.optimizer.setWeights(p)]:[3,3];case 2:h.sent(),h.label=3;case 3:Pe(c),Pe(p.map(function(t){return t.tensor})),h.label=4;case 4:return[2,s]}})})}(t,void 0,e)]})})}Hp.registerClass(Pm);var Vm=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:ud("sequential_"),null!=e.layers)for(var r=0,a=e.layers;r<a.length;r++){var i=a[r];n.add(i)}return n}return fh(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new wh("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 Pm;if(r){if(1!==(n=t).outputs.length)throw new wh("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 wh("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 wh("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=kd({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new wh("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 wh("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 a=n.inboundNodes[r];if(0===a.inboundLayers.length)return a.inputTensors;for(var i=[],o=0;o<a.inboundLayers.length;o++)for(var s=0,u=t(a.inputTensors[o],a.inboundLayers[o],a.nodeIndices[o]);s<u.length;s++){var l=u[s];-1===i.indexOf(l)&&i.push(l)}return i}(this.outputs[0])}this.inboundNodes=[],new wd({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Sh(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var i=t.apply(this.outputs[0]);if(Array.isArray(i))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=[i],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(hd(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 Pm({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 0===r&&(r=console.log),this.built||this.build(),t.prototype.summary.call(this,e,n,r)},e.prototype.setWeights=function(t){null==this.model&&this.build(),this.model.setWeights(t)},e.prototype.evaluate=function(t,e,n){if(void 0===n&&(n={}),!this.built)throw new xh("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){if(!this.built)throw new xh("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(t,e)]})})},e.prototype.predict=function(t,e){return void 0===e&&(e={}),null==this.model&&this.build(),this.model.predict(t,e)},e.prototype.predictOnBatch=function(t){return 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 null==this.model?void 0: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={}),gh(this,void 0,void 0,function(){return vh(this,function(r){if(!this.built)throw new xh("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){if(!this.built)throw new xh("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},e.prototype.trainOnBatch=function(t,e){return gh(this,void 0,void 0,function(){return vh(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},e.fromConfig=function(t,n,r,a){var i;void 0===r&&(r={}),void 0===a&&(a=!1);var o={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new wh("Legacy serialization format not supported yet.");i=n}else Q.assert(null!=n.layers,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),i=n.layers,delete n.layers,o=n;var s=new t(o);if(!(s instanceof e))throw new Ch("Sequential.fromConfig called on non-Sequential input: "+s);for(var u=0,l=i;u<l.length;u++){var c=Bd(l[u],void 0,a);a&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},Object.defineProperty(e.prototype,"stopTraining",{get:function(){if(null==this.model)throw new wh("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(t){if(null==this.model)throw new wh("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e],a={};a.className=r.getClassName(),a.config=r.getConfig(),t.push(a)}return{name:this.name,layers:t}},e.className="Sequential",e}(Pm);function Um(t){return kd(t)}Hp.registerClass(Vm);var jm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.getConfig=function(){return{}},e}(Hp.Serializable),Gm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=1),function(t,e){if(void 0===e&&(e=1),1!==e)throw new Ch("Support for alpha values other than 1 ("+e+") is not implemented yet.");return _l(t)}(t,e)},e.className="elu",e}(jm);Hp.registerClass(Gm);var qm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return Bl(t)},e.className="selu",e}(jm);Hp.registerClass(qm);var Hm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return zl(t)},e.className="relu",e}(jm);Hp.registerClass(Hm);var Km=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return Be(function(){return hu(6,zl(t))})},e.className="relu6",e}(jm);Hp.registerClass(Km);var Xm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(jm);Hp.registerClass(Xm);var $m=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return Is(t)},e.className="sigmoid",e}(jm);Hp.registerClass($m);var Ym=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return function(t){return Be(function(){var e=ru(.5,gu(.2,t));return ps(e,0,1)})}(t)},e.className="hardSigmoid",e}(jm);Hp.registerClass(Ym);var Jm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return Os(t)},e.className="softplus",e}(jm);Hp.registerClass(Jm);var Zm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return function(t){return Be(function(){return su(t,rs(t).add(1))})}(t)},e.className="softsign",e}(jm);Hp.registerClass(Zm);var Qm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t){return zs(t)},e.className="tanh",e}(jm);Hp.registerClass(Qm);var tg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Lr(t,e)},e.className="softmax",e}(jm);Hp.registerClass(tg);var eg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Br(t,e)},e.className="logSoftmax",e}(jm);function ng(t){return t.getClassName()}function rg(t,e){return void 0===e&&(e={}),_h(t,Hp.SerializationMap.getMap().classNameMap,e,"activation")}function ag(t){var e;return null==t?rg(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},rg(e)):t instanceof jm?t:rg(t)}function ig(t){if(null!=t&&"object"!=typeof t)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+t)}Hp.registerClass(eg);var og=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e}(Hp.Serializable),sg=function(t){function e(e){var n=t.call(this)||this;return ig(e),n.l1=null==e||null==e.l1?.01:e.l1,n.l2=null==e||null==e.l2?.01:e.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}return fh(e,t),e.prototype.apply=function(t){var e=this;return Be(function(){var n=bn([1]);return e.hasL1&&(n=ru(n,Dl(gu(e.l1,rs(t))))),e.hasL2&&(n=ru(n,Dl(gu(e.l2,Df(t))))),n.asScalar()})},e.prototype.getConfig=function(){return{l1:this.l1,l2:this.l2}},e.fromConfig=function(t,e){return new t({l1:e.l1,l2:e.l2})},e.className="L1L2",e}(og);Hp.registerClass(sg);var ug={l1l2:"L1L2"};function lg(t){return Oh(t)}function cg(t,e){return void 0===e&&(e={}),_h(t,Hp.SerializationMap.getMap().classNameMap,e,"regularizer")}function pg(t){return null==t?null:"string"==typeof t?cg({className:t in ug?ug[t]:t,config:{}}):t instanceof og?t:cg(t)}var hg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,null!=e&&(n.maxValue=e.maxValue),n}return fh(e,t),e.prototype.call=function(t,e){t=pd(t);var n=zl(t);return null!=this.maxValue&&(n=ps(n,0,this.maxValue)),n},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={maxValue:this.maxValue},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ReLU",e}(Nd);Hp.registerClass(hg);var fg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_ALPHA=.3,null==e&&(e={}),n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return fh(e,t),e.prototype.call=function(t,e){var n=pd(t);return Fl(n,this.alpha)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LeakyReLU",e}(Nd);Hp.registerClass(fg);var dg=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=rd(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=pg(e.alphaRegularizer),n.alphaConstraint=Yh(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 wh("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return fh(e,t),e.prototype.build=function(t){var e=(t=hd(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(i=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<t.length;++i)a[i]=t[i];this.inputSpec=[new yd({ndim:t.length,axes:a})],this.built=!0},e.prototype.call=function(t,e){return t=pd(t),Ml(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:nd(this.alphaInitializer),alphaRegularizer:lg(this.alphaRegularizer),alphaConstraint:Xh(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(Nd);Hp.registerClass(dg);var mg=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 Ch("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 fh(e,t),e.prototype.call=function(t,e){var n=pd(t);return _l(n)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ELU",e}(Nd);Hp.registerClass(mg);var gg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_THETA=1,null==e&&(e={}),n.theta=null==e.theta?n.DEFAULT_THETA:e.theta,n}return fh(e,t),e.prototype.call=function(t,e){var n=pd(t);return n.mul(xf(n.greater(this.theta),"float32"))},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={theta:this.theta},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ThresholdedReLU",e}(Nd);Hp.registerClass(gg);var vg=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_AXIS=1,null==e&&(e={}),n.softmax=(new tg).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return fh(e,t),e.prototype.call=function(t,e){var n=pd(t);return this.softmax(n,this.axis)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Softmax",e}(Nd);function yg(t,e,n){if("number"==typeof t)return Sh(t,e);if(t.length!==e)throw new wh("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var a=t[r];if(!df(a))throw new wh("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+a)}return t}function bg(t,e,n,r,a){return void 0===a&&(a=1),null==t?t:(i="same"===n?t:t-(e+(e-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function xg(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+yf([n-e,0]);else{if("same"!==r)throw new wh("Unsupport padding mode: "+r+".");t*=e}return t}function wg(t,e){return Be(function(){return rf(e),"channelsFirst"===e?Pl(t,[0,2,3,1]):t})}function Cg(t,e){return Be(function(){return rf(e),"channelsFirst"===e?Pl(t,[0,2,3,4,1]):t})}function Ng(t,e,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),Be(function(){if(null==i&&(i="channelsLast"),rf(i),3!==t.rank&&4!==t.rank)throw new wh("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new wh("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+t.rank+".");var u=wg(t,i);if("causal"===a)throw new Ch("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Lc.conv2d({x:u,filter:e,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=Pl(u,[0,3,1,2])),u})}Hp.registerClass(vg);var Sg=function(t){function e(n,r){var a=t.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),a.rank=n,Ph(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new Ch("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=yg(r.kernelSize,n,"kernelSize"),a.strides=yg(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,af(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,rf(a.dataFormat),a.activation=ag(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=rd(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Yh(r.biasConstraint),a.biasRegularizer=pg(r.biasRegularizer),a.activityRegularizer=pg(r.activityRegularizer),a.dilationRate=yg(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new wh("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new wh("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new wh("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return fh(e,t),e.verifyArgs=function(t){if(Ih("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!Bh(t.kernelSize,"number",1,3))throw new wh("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(t.kernelSize)+".")},e.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ng(this.activation),useBias:this.useBias,biasInitializer:nd(this.biasInitializer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),biasConstraint:Xh(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Nd),Ig=function(t){function e(n,r){var a=t.call(this,n,r)||this;return a.kernel=null,e.verifyArgs(r),a.filters=r.filters,Ph(a.filters,"filters"),a.kernelInitializer=rd(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Yh(r.kernelConstraint),a.kernelRegularizer=pg(r.kernelRegularizer),a}return fh(e,t),e.prototype.build=function(t){var e;t=hd(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new wh("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return Be(function(){var e;t=pd(t);var r=null==n.bias?null:n.bias.read(),a=Wh(n.activation.getClassName());if(null!=a&&2===n.rank)e=Ng(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)e=function(t,e,n,r,a,i,o){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===o&&(o=1),Be(function(){if(null==i&&(i="channelsLast"),rf(i),3!==t.shape.length)throw new wh("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new wh("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new wh("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===i&&(t=Pl(t,[0,2,1])),"causal"===a)throw new Ch("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=Gu(t,e,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=_f(s,n)),s})}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=Ng(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new Ch("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),Be(function(){if(null==i&&(i="channelsLast"),rf(i),4!==t.rank&&5!==t.rank)throw new wh("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new wh("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var s=Cg(t,i);if("causal"===a)throw new Ch("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=Hu(s,e,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=_f(s,n)),"channelsFirst"===i&&(s=Pl(s,[0,4,1,2,3])),s})}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(e=n.activation.apply(e))}return e})},e.prototype.computeOutputShape=function(t){t=hd(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var a=bg(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(a)}var i=[t[0]];return"channelsLast"===this.dataFormat?(i=i.concat(e)).push(this.filters):(i.push(this.filters),i=i.concat(e)),i},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:nd(this.kernelInitializer),kernelRegularizer:lg(this.kernelRegularizer),kernelConstraint:Xh(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 wh("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(Sg),kg=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return fh(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&&!Bh(t.kernelSize,"number",1,2))throw new wh("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(Ig);Hp.registerClass(kg);var Eg=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return fh(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 wh("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(Ig);Hp.registerClass(Eg);var Ag=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new yd({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new wh("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return fh(e,t),e.prototype.build=function(t){var e;if(4!==(t=hd(t)).length)throw new wh("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 wh("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new yd({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Be(function(){var e=pd(t);if(4!==e.shape.length)throw new wh("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,a,i=e.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,xg(s,p,l,n.padding),xg(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Pl(e,[0,2,3,1]));var d=Qu(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=Pl(d,[0,3,1,2])),null!=n.bias&&(d=_f(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d})},e.prototype.computeOutputShape=function(t){var e,n,r,a=(t=hd(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[e]=this.filters,a[n]=xg(a[n],s,i,this.padding),a[r]=xg(a[r],u,o,this.padding),a},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(kg);Hp.registerClass(Ag);var Rg=function(t){function e(e){return t.call(this,2,e)||this}return fh(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 wh("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new wh("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 wh("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=rd(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=pg(n.depthwiseRegularizer),r.depthwiseConstraint=Yh(n.depthwiseConstraint),r.pointwiseInitializer=rd(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=pg(n.pointwiseRegularizer),r.pointwiseConstraint=Yh(n.pointwiseConstraint),r}return fh(e,t),e.prototype.build=function(t){var e;if((t=hd(t)).length<this.rank+2)throw new wh("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 wh("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new yd({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return Be(function(){var e;if(t=pd(t),1===n.rank)throw new Ch("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Pl(t,[0,2,3,1])),e=Zu(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=_f(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Pl(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=nd(this.depthwiseInitializer),e.pointwiseInitializer=nd(this.pointwiseInitializer),e.depthwiseRegularizer=lg(this.depthwiseRegularizer),e.pointwiseRegularizer=lg(this.pointwiseRegularizer),e.depthwiseConstraint=Xh(this.depthwiseConstraint),e.pointwiseConstraint=Xh(this.pointwiseConstraint),e},e.className="SeparableConv",e}(Ig));Hp.registerClass(Rg);var Tg=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return fh(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&&!Bh(t.kernelSize,"number",1,1))throw new wh("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(Ig);Hp.registerClass(Tg);var Dg=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 fh(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 Be(function(){return t=pd(t),"channelsLast"===n.dataFormat?Sf(Sf(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):Sf(Sf(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}(Nd);Hp.registerClass(Dg);var Og=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 fh(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 Be(function(){var e=pd(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=Pl(e,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o=e.resizeNearestNeighbor([a,i]);return Pl(o,[0,3,1,2])}return a=n.size[0]*r[1],i=n.size[1]*r[2],e.resizeNearestNeighbor([a,i])})},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}(Nd);Hp.registerClass(Og);var _g=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=rd(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Yh(e.depthwiseConstraint),n.depthwiseRegularizer=pg(e.depthwiseRegularizer),n}return fh(e,t),e.prototype.build=function(t){if((t=hd(t)).length<4)throw new wh("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 wh("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 Be(function(){var e=function(t,e,n,r,a,i){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),Be(function(){null==a&&(a="channelsLast"),rf(a);var o=wg(t,a);if(4!==t.rank)throw new wh("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new wh("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return o=$u(o,e,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=Pl(o,[0,3,1,2])),o})}(t=pd(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=_f(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=hd(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,a=bg(e,this.kernelSize[0],this.padding,this.strides[0]),i=bg(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,a,i]:[t[0],a,i,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=nd(this.depthwiseInitializer),e.depthwiseRegularizer=lg(this.depthwiseRegularizer),e.depthwiseConstraint=Xh(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(Sg);Hp.registerClass(_g);var Fg=function(t){function e(e){var n=t.call(this,e)||this;return n.rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,n.supportsMasking=!0,n}return fh(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 Be(function(){n.invokeCallHook(t,e);var r=pd(t);if(0<n.rate&&n.rate<1){var a=null!=e.training&&e.training,i=n.getNoiseShape(r);return Mf(function(){return Ff(r,n.rate,i,n.seed)},function(){return r},a)}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}(Nd);Hp.registerClass(Fg);var Mg=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,Ph(n.units,"units"),n.activation=ag(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=rd(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=rd(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Yh(e.kernelConstraint),n.biasConstraint=Yh(e.biasConstraint),n.kernelRegularizer=pg(e.kernelRegularizer),n.biasRegularizer=pg(e.biasRegularizer),n.activityRegularizer=pg(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return fh(e,t),e.prototype.build=function(t){var e,n=(t=hd(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=hd(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return Be(function(){n.invokeCallHook(t,e);var r,a=pd(t),i=Wh(n.activation.getClassName());return null!=i?r=Rf(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=Rf(a,n.kernel.read()),null!=n.bias&&(r=_f(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:ng(this.activation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),biasInitializer:nd(this.biasInitializer),kernelRegularizer:lg(this.kernelRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),biasConstraint:Xh(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(Nd);Hp.registerClass(Mg);var zg=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return fh(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=hd(t)).slice(1);e<n.length;e++)if(null==n[e])throw new wh('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],mf(t,1)]},e.prototype.call=function(t,e){var n=this;return Be(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new wh("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],mf(t.shape,1)];return t.reshape(e)}(pd(t))})},e.className="Flatten",e}(Nd);Hp.registerClass(zg);var Lg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=ag(e.activation),n}return fh(e,t),e.prototype.call=function(t,e){var n=this;return Be(function(){n.invokeCallHook(t,e);var r=pd(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:ng(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(Nd);Hp.registerClass(Lg);var Bg=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return fh(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return Be(function(){return function(t,e){return Be(function(){if(2!==t.shape.length)throw new wh("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return Ef(wf(t,1),[1,e,1])})}(t=pd(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}(Nd);Hp.registerClass(Bg);var Pg=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 fh(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(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new wh("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=mf(t);if(null!==i){if(0===a||u%a!=0)throw new wh(n);r[i]=u/a}else if(u!==a)throw new wh(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 Be(function(){n.invokeCallHook(t,e);var r=pd(t),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)})},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}(Nd);Hp.registerClass(Pg);var Wg=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 r=bf(1,e.dims.length+1);if(!Q.arraysEqual(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new yd({ndim:n.dims.length+1})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){var e=(t=hd(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return Pl(pd(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}(Nd);Hp.registerClass(Wg);var Vg=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 fh(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=pd(t);return Nl(Fu(n,this.maskValue),-1)},e.prototype.call=function(t,e){var n=this;return Be(function(){n.invokeCallHook(t,e);var r=pd(t),a=Nl(Fu(r,n.maskValue),-1,!0);return r.mul(a.asType(r.dtype))})},e.className="Masking",e}(Nd);Hp.registerClass(Vg);var Ug=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(Ah(e.inputLength))}return n.inputDim=e.inputDim,Ph(n.inputDim,"inputDim"),n.outputDim=e.outputDim,Ph(n.outputDim,"outputDim"),n.embeddingsInitializer=rd(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=pg(e.embeddingsRegularizer),n.activityRegularizer=pg(e.activityRegularizer),n.embeddingsConstraint=Yh(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return fh(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 Be(function(){return n.maskZero?(t=pd(t),Fu(t,Sn(t))):null})},e.prototype.computeOutputShape=function(t){if(t=hd(t),null==this.inputLength)return t.concat([this.outputDim]);var e=Ah(this.inputLength);if(e.length!==t.length-1)throw new wh('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var a=e[r],i=t[r+1];if(null!=a&&null!=i&&a!==i)throw new wh('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==a&&(e[n]=i),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return Be(function(){n.invokeCallHook(t,e);var r=pd(t);return"int32"!==r.dtype&&(r=xf(r,"int32")),Tf(n.embeddings.read(),r.as1D()).reshape(hd(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:nd(this.embeddingsInitializer),embeddingsRegularizer:lg(this.embeddingsRegularizer),activityRegularizer:lg(this.activityRegularizer),embeddingsConstraint:Xh(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(Nd);Hp.registerClass(Ug);var jg=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return fh(e,t),e.prototype.mergeFunction=function(t){throw new Ch},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 a=t[t.length-e.length+r],i=e[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new wh("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(a)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[hd(t)]),(t=t).length<2)throw new wh("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!=(o=r[n])&&null!==o[0]&&e.push(o[0]);if((e=Mh(e)).length>1)throw new wh("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var a=null==t[0]?null:t[0].slice(1),i=1;i<t.length;++i){var o=null==t[i]?null:t[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=t.map(function(t){return t.length});-1===t.indexOf(null)&&1===Mh(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return Be(function(){if(t=t,n.reshapeRequired){var e=[],r=t.map(function(t){return t.rank});if(-1===r.indexOf(null)){for(var a=yf(r),i=0,o=t;i<o.length;i++){for(var s=(h=o[i]).rank,u=0;u<a-s;++u)h=wf(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,c=0,p=t;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var f=h.shape,d=f[0],m=f.slice(1).concat([d]),g=h.reshape([d].concat(mf(f.slice(1))));g=(g=Pl(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var v=bf(1,s).concat([0]);e.push(Pl(h,v)),l=!0}else e.push(h)}var y=n.mergeFunction(e),b=y.rank;if(l)if(null==b){var x=y.shape;m=[d=x[x.length-1]].concat(x.slice(0,x.length-1)),y=Pl(y.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(v=[b-1].concat(bf(0,b-1)),y=Pl(y,v));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 a=[],i=0,o=t;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=Mh(a)).length?a.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return Be(function(){if(null==e)return null;if(!Array.isArray(e))throw new wh("`mask` should be an Array");if(!Array.isArray(t))throw new wh("`inputs` should be an Array");if(e.length!==t.length)throw new wh("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:Yn(t,0)}))[0],r=1;r<e.length-1;++r)n=Js(n,e[r]);return n})},e}(Nd),Gg=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.mergeFunction=function(t){return Be(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=ru(e,t[n]);return e})},e.className="Add",e}(jg);Hp.registerClass(Gg);var qg=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.mergeFunction=function(t){return Be(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=gu(e,t[n]);return e})},e.className="Multiply",e}(jg);Hp.registerClass(qg);var Hg=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.mergeFunction=function(t){return Be(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=ru(e,t[n]);return gu(1/t.length,e)})},e.className="Average",e}(jg);Hp.registerClass(Hg);var Kg=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.mergeFunction=function(t){return Be(function(){for(var e=t[0],n=1;n<t.length;++n)e=cu(e,t[n]);return e})},e.className="Maximum",e}(jg);Hp.registerClass(Kg);var Xg=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.mergeFunction=function(t){return Be(function(){for(var e=t[0],n=1;n<t.length;++n)e=hu(e,t[n]);return e})},e.className="Minimum",e}(jg);Hp.registerClass(Xg);var $g=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 fh(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new wh("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,r=t=t;n<r.length;n++)if(null!=(c=r[n])){e=!1;break}if(!e){for(var a=[],i=0;i<t.length;++i){var o=t[i].slice();o.splice(this.axis,1);for(var s=!1,u=0,l=a;u<l.length;u++){var c=l[u];if(Q.arraysEqual(c,o)){s=!0;break}}s||a.push(o)}if(a.length>1)throw new wh("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 Be(function(){return If(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new wh("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,a=0,i=e.slice(1);a<i.length;a++){var o=i[a];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},e.prototype.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new wh("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new wh("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new wh("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return Be(function(){var r=!0;if(e.forEach(function(t){null==t||(r=!1)}),r)return null;for(var a=[],i=0;i<t.length;++i)null==e[i]?a.push(Nn(t[i]).asType("bool")):e[i].rank<t[i].rank?a.push(Yn(e[i],-1)):a.push(e[i]);var o=In(a,n.axis);return Cl(o,-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}(jg);function Yg(t,e){for(;t<0;)t+=e;return t}Hp.registerClass($g);var Jg=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 fh(e,t),e.prototype.build=function(t){Q.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 Ch("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new wh("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new wh("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return Yg(e,t[n].shape.length)}):[Yg(this.axes,n.shape.length),Yg(this.axes,r.shape.length)],this.normalize&&(n=Pd(n,e[0]),r=Pd(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new Ch("batchDot is not implemented for tensors of 4D or higher rank yet");if(Q.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),Q.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 Ch("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,a=e.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return Be(function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(a>r){for(n=a-r,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)o=i[0]===i[1]?t.mulStrict(e).sum(i[0]):t.transpose([1,0]).mulStrict(e).sum(i[1]);else{var l=i[0]!==t.shape.length-1,c=i[1]===e.shape.length-1;o=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>a?r+a-3:r-1;u<p+n;++u)h.push(u);o=o.squeeze(h)}return 1===o.shape.length&&(o=o.expandDims(1)),o})}(n,r,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[Yg(this.axes,t.length),Yg(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){Q.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 Ch("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=e.concat(n);return 1===a.length&&a.push(1),a},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}(jg);Hp.registerClass(Jg);var Zg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.stddev=e.stddev,n}return fh(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 Be(function(){n.invokeCallHook(t,e);var r=pd(t);return Mf(function(){return Af(r.shape,0,n.stddev).add(r)},function(){return r},e.training||!1)})},e.className="GaussianNoise",e}(Nd);Hp.registerClass(Zg);var Qg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.rate=e.rate,n}return fh(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 Be(function(){n.invokeCallHook(t,e);var r=pd(t);return n.rate>0&&n.rate<1?Mf(function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(Af(r.shape,1,t))},function(){return r},e.training||!1):r})},e.className="GaussianDropout",e}(Nd);Hp.registerClass(Qg);var tv=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 fh(e,t),e.prototype._getNoiseShape=function(t){return this.noiseShape||pd(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 Be(function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(t);return Mf(function(){var e=pd(t),a=-1.7580993408473766,i=Eu(ur(r),n.rate);i=xf(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return e.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)},function(){return pd(t)},e.training||!1)}return t})},e.className="AlphaDropout",e}(Nd);function ev(t,e,n,r,a,i){var o;if(void 0===i&&(i=.001),2===t.rank)o=Xs(t,e,n,r,a,i);else if(3===t.rank)o=$s(t,e,n,r,a,i);else{if(4!==t.rank)throw new Ch("batchNormalization is not implemented for array of rank "+t.rank+" yet");o=Ys(t,e,n,r,a,i)}return o}function nv(t,e,n,r,a){return void 0===a&&(a=.001),Q.arraysEqual(r.slice().sort(),bf(0,t.rank-1))?function(t,e,n,r,a){return void 0===a&&(a=.001),Be(function(){var i=Tl(t,r),o=i.mean,s=i.variance;return[ev(t,o,s,n,e,a),o,s]})}(t,e,n,r,a):function(t,e,n,r,a){return void 0===a&&(a=.001),Be(function(){for(var i=Tl(t,r),o=i.mean,s=i.variance,u=[],l=0,c=bf(0,t.rank);l<c.length;l++){var p=c[l];-1!==r.indexOf(p)?u.push(1):u.push(t.shape[p])}var h=o.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[ev(t,h,f,m,d,a),o,s]})}(t,e,n,r,a)}Hp.registerClass(tv);var rv=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=rd(e.betaInitializer||"zeros"),n.gammaInitializer=rd(e.gammaInitializer||"ones"),n.movingMeanInitializer=rd(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=rd(e.movingVarianceInitializer||"ones"),n.betaConstraint=Yh(e.betaConstraint),n.gammaConstraint=Yh(e.gammaConstraint),n.betaRegularizer=pg(e.betaRegularizer),n.gammaRegularizer=pg(e.gammaRegularizer),n}return fh(e,t),e.prototype.build=function(t){var e;t=hd(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new wh("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new yd({ndim:t.length,axes:(e={},e[n]=r,e)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return Be(function(){var r=null!=e.training&&e.training,a=pd(t),i=a.shape,o=i.length,s=bf(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=Sh(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Q.arraysEqual(c,bf(0,o).slice(0,o-1));if(!r)return function(){if(p){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 ev(a,t,e,r,i,n.epsilon)}return ev(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=nv(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){Be(function(){var r=1-n,a=t.read(),i=a.sub(e).mul(r);t.write(a.sub(i))})};return g(n.movingMean,d,n.momentum),g(n.movingVariance,m,n.momentum),f})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:nd(this.betaInitializer),gammaInitializer:nd(this.gammaInitializer),movingMeanInitializer:nd(this.movingMeanInitializer),movingVarianceInitializer:nd(this.movingVarianceInitializer),betaRegularizer:lg(this.betaRegularizer),gammaRegularizer:lg(this.gammaRegularizer),betaConstraint:Xh(this.betaConstraint),gammaConstraint:Xh(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(Nd);Hp.registerClass(rv);var av=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).axis=null==e.axis?-1:e.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r=0,a=n.axis;r<a.length;r++){var i=a[r];if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=rd(e.betaInitializer||"zeros"),n.gammaInitializer=rd(e.gammaInitializer||"ones"),n.betaRegularizer=pg(e.betaRegularizer),n.gammaRegularizer=pg(e.gammaRegularizer),n.supportsMasking=!0,n}return fh(e,t),e.prototype.build=function(t){var e=(t=hd(t)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=e);for(var r=0,a=this.axis;r<a.length;r++){var i=a[r];if(i<0||i>=e)throw new Error("Invalid axis: "+i)}if(this.axis.length!==Mh(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map(function(e){return t[e]});this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},e.prototype.call=function(t,e){var n=this,r=pd(t),a=r.shape,i=a.length;return Be(function(){for(var t=Tl(r,n.axis,!0),e=t.mean,o=t.variance,s=Sh(1,i),u=0,l=n.axis;u<l.length;u++){var c=l[u];s[c]=a[c]}for(var p=function(t){return null!=t&&t.shape.length!==i&&n.axis!==[i-1]?t.reshape(s):t},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],g=0;g<i;++g)-1!==n.axis.indexOf(g)?(d.push(a[g]),m.push(1)):(d.push(1),m.push(a[g]));return e=e.tile(d),o=o.tile(d),h=h.tile(m),f=f.tile(m),ev(r,e,o,f,h,n.epsilon)})},e.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:nd(this.betaInitializer),gammaInitializer:nd(this.gammaInitializer),betaRegularizer:lg(this.betaRegularizer),gammaRegularizer:lg(this.gammaRegularizer)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LayerNormalization",e}(Nd);Hp.registerClass(av);var iv=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 wh("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new wh("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 wh("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");a=e.padding[1]}n.padding=[r,a]}return n.inputSpec=[new yd({ndim:4})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=hd(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 Be(function(){return function(t,e,n){return Be(function(){if(4!==t.rank)throw new wh("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 wh("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 wh("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],tr(t,r)})}(pd(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}(Nd);function ov(t,e,n,r,a,i){return Be(function(){var o;rf(a),of(i),af(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=wg(t,a);var s="same"===r?"same":"valid";return o="max"===i?pl(t,e,n,s):hl(t,e,n,s),"channelsFirst"===a&&(o=Pl(o,[0,3,1,2])),o})}function sv(t,e,n,r,a,i){return Be(function(){var o;rf(a),of(i),af(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=Cg(t,a);var s="same"===r?"same":"valid";return o="max"===i?dl(t,e,n,s):ml(t,e,n,s),"channelsFirst"===a&&(o=Pl(o,[0,4,1,2,3])),o})}Hp.registerClass(iv);var uv=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 wh("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(Ph(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 wh("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 Ph(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,af(n.padding),n.inputSpec=[new yd({ndim:3})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){var e=bg((t=hd(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 Be(function(){n.invokeCallHook(t,e),t=wf(pd(t),2);var r=n.poolingFunction(pd(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return pr(r,[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}(Nd),lv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),ov(t,e,n,r,a,"max")},e.className="MaxPooling1D",e}(uv);Hp.registerClass(lv);var cv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),ov(t,e,n,r,a,"avg")},e.className="AveragePooling1D",e}(uv);Hp.registerClass(cv);var pv=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 wh("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 Ph(n.poolSize,"poolSize"),Ph(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,rf(n.dataFormat),af(n.padding),n.inputSpec=[new yd({ndim:4})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){t=hd(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=bg(e,this.poolSize[0],this.padding,this.strides[0]),n=bg(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 Be(function(){return n.invokeCallHook(t,e),n.poolingFunction(pd(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}(Nd),hv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),ov(t,e,n,r,a,"max")},e.className="MaxPooling2D",e}(pv);Hp.registerClass(hv);var fv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),ov(t,e,n,r,a,"avg")},e.className="AveragePooling2D",e}(pv);Hp.registerClass(fv);var dv=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new wh("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides,e.strides];return Ph(n.poolSize,"poolSize"),Ph(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,rf(n.dataFormat),af(n.padding),n.inputSpec=[new yd({ndim:5})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){t=hd(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=bg(e,this.poolSize[0],this.padding,this.strides[0]),n=bg(n,this.poolSize[1],this.padding,this.strides[1]),r=bg(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]},e.prototype.call=function(t,e){var n=this;return Be(function(){return n.invokeCallHook(t,e),n.poolingFunction(pd(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}(Nd),mv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),sv(t,e,n,r,a,"max")},e.className="MaxPooling3D",e}(dv);Hp.registerClass(mv);var gv=function(t){function e(e){return t.call(this,e)||this}return fh(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return rf(a),af(r),sv(t,e,n,r,a,"avg")},e.className="AveragePooling3D",e}(dv);Hp.registerClass(gv);var vv=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new yd({ndim:3})],n}return fh(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new Ch},e}(Nd),yv=function(t){function e(e){return t.call(this,e||{})||this}return fh(e,t),e.prototype.call=function(t,e){return Be(function(){var e=pd(t);return Al(e,1)})},e.className="GlobalAveragePooling1D",e}(vv);Hp.registerClass(yv);var bv=function(t){function e(e){return t.call(this,e||{})||this}return fh(e,t),e.prototype.call=function(t,e){return Be(function(){var e=pd(t);return El(e,1)})},e.className="GlobalMaxPooling1D",e}(vv);Hp.registerClass(bv);var xv=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,rf(n.dataFormat),n.inputSpec=[new yd({ndim:4})],n}return fh(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 Ch},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Nd),wv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.call=function(t,e){var n=this;return Be(function(){var e=pd(t);return"channelsLast"===n.dataFormat?Al(e,[1,2]):Al(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(xv);Hp.registerClass(wv);var Cv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.call=function(t,e){var n=this;return Be(function(){var e=pd(t);return"channelsLast"===n.dataFormat?El(e,[1,2]):El(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(xv);function Nv(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new wh("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 a(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=a(e),constants:n=a(n)}}function Sv(t,e,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),Be(function(){var u=e.shape.length;if(u<3)throw new wh("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(bf(2,u));if(e=Pl(e,l),null!=i)throw new Ch("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===u-1&&(a=Yn(a,-1)),a=Pl(a,l)),r&&(e=al(e,0),null!=a&&(a=al(a,0)));var c,p,h=[],f=n,d=e.shape[0],m=mr(e);null!=a&&(p=mr(a));for(var g,v=function(e){var n=m[e],r=Be(function(){return t(n,f)});if(null==a)c=r[0],f=r[1];else{var i=Be(function(){var t=p[e],n=Nn(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map(function(e,a){return r[1][a].mul(t).addStrict(e.mul(n))})}});c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)v(y);return s&&(g=hr(h,1)),[c,g,f]})}Hp.registerClass(Cv);var Iv=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new wh("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new _v({cells:e.cell}):e.cell).stateSize)throw new wh("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 yd({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return fh(e,t),e.prototype.getStates=function(){return null==this.states_?bf(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){ld(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 a=[],i=0,o=e;i<o.length;i++){var s=o[i];a.push([t[0],s])}return[n].concat(a)}return n},e.prototype.computeMask=function(t,e){var n=this;return Be(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 Ch("Constants support is not implemented in RNN yet.");ld(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new yd({shape:[e,null,n]});var r,a=[t[0]].concat(t.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!Q.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),r))throw new wh("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map(function(t){return new yd({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),Be(function(){if(!n.stateful)throw new bh("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new wh("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 bn([r,t])}):n.states_=[bn([r,n.cell.stateSize])];else if(null==t)Pe(n.states_),null!=n.keptStates&&(Pe(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return bn([r,t])}):n.states_[0]=bn([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new wh("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()):Pe(n.states_);for(var a=0;a<n.states_.length;++a){var i=t[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!Q.arraysEqual(i.shape,s))throw new wh("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map(function(t){return We(t.clone())})})},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Nv(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new yd({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof bd){var p=[e].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=t.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Be(function(){var r=null==e?null:e.mask,a=null==e?null:e.training,i=null==e?null:e.initialState;t=pd(t),null==i&&(i=n.stateful?n.states_:n.getInitialState(t));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new wh("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Sv(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,i,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h})},e.prototype.getInitialState=function(t){var e=this;return Be(function(){var n=bn(t.shape);return n=wf(n=Dl(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?Ef(n,[1,t]):n}):e.cell.stateSize>1?[Ef(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=Bd(e.cell,n);return new t(Object.assign(e,{cell:r}))},e.className="RNN",e}(Nd);Hp.registerClass(Iv);var kv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e}(Nd),Ev=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,Ph(n.units,"units"),n.activation=ag(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=rd(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=rd(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=rd(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=pg(e.kernelRegularizer),n.recurrentRegularizer=pg(e.recurrentRegularizer),n.biasRegularizer=pg(e.biasRegularizer),n.kernelConstraint=Yh(e.kernelConstraint),n.recurrentConstraint=Yh(e.recurrentConstraint),n.biasConstraint=Yh(e.biasConstraint),n.dropout=vf([1,yf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=vf([1,yf([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return fh(e,t),e.prototype.build=function(t){t=hd(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 Be(function(){if(2!==(t=t).length)throw new wh("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var a,i=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Fv(function(){return Nn(t)},n.dropout,i)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Fv(function(){return Nn(r)},n.recurrentDropout,i));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=Rf(null!=o?gu(t,o):t,n.kernel.read()),null!=n.bias&&(a=_f(a,n.bias.read())),null!=s&&(r=gu(r,s));var u=ru(a,Rf(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:ng(this.activation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(kv);Hp.registerClass(Ev);var Av=function(t){function e(e){return e.cell=new Ev(e),t.call(this,e)||this}return fh(e,t),e.prototype.call=function(e,n){var r=this;return Be(function(){null!=r.cell.dropoutMask&&(Pe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Pe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})})},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:ng(this.activation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(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}(Iv);Hp.registerClass(Av);var Rv=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,Ph(n.units,"units"),n.activation=ag(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=ag(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=rd(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=rd(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=rd(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=pg(e.kernelRegularizer),n.recurrentRegularizer=pg(e.recurrentRegularizer),n.biasRegularizer=pg(e.biasRegularizer),n.kernelConstraint=Yh(e.kernelConstraint),n.recurrentConstraint=Yh(e.recurrentConstraint),n.biasConstraint=Yh(e.biasConstraint),n.dropout=vf([1,yf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=vf([1,yf([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return fh(e,t),e.prototype.build=function(t){var e=(t=hd(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 Be(function(){if(2!==(t=t).length)throw new wh("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,a=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Fv(function(){return Nn(t)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Fv(function(){return Nn(a)},n.recurrentDropout,r,3));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=gu(t,u[0]));var c=Rf(t,n.kernel.read());n.useBias&&(c=_f(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=gu(a,l[0]));var p=n.recurrentKernel.read(),h=Tn(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=Rf(a,f),g=Tn(c,3,c.rank-1),v=g[0],y=g[1],b=g[2],x=Tn(m,2,m.rank-1),w=x[0],C=x[1];i=n.recurrentActivation.apply(ru(v,w)),o=n.recurrentActivation.apply(ru(y,C));var N=Rf(gu(o,a),d);s=n.activation.apply(ru(b,N));var S=ru(gu(i,a),gu(ru(1,ws(i)),s));return[S,S]})},e.prototype.getConfig=function(){var e={units:this.units,activation:ng(this.activation),recurrentActivation:ng(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(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}(kv);Hp.registerClass(Rv);var Tv=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 Rv(e),t.call(this,e)||this}return fh(e,t),e.prototype.call=function(e,n){var r=this;return Be(function(){null!=r.cell.dropoutMask&&(Pe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Pe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})})},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:ng(this.activation),recurrentActivation:ng(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(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}(Iv);Hp.registerClass(Tv);var Dv=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,Ph(n.units,"units"),n.activation=ag(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=ag(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=rd(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=rd(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=rd(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=pg(e.kernelRegularizer),n.recurrentRegularizer=pg(e.recurrentRegularizer),n.biasRegularizer=pg(e.biasRegularizer),n.kernelConstraint=Yh(e.kernelConstraint),n.recurrentConstraint=Yh(e.recurrentConstraint),n.biasConstraint=Yh(e.biasConstraint),n.dropout=vf([1,yf([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=vf([1,yf([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 fh(e,t),e.prototype.build=function(t){var e,n,r=(t=hd(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 a=this.biasInitializer,i=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return fh(e,t),e.prototype.apply=function(t,e){var n=a.apply([i]),r=(new Wf).apply([i]),o=a.apply([2*i]);return kf(kf(n,r),o)},e}(Bf)).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 Be(function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new wh("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var a=t[1],i=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Fv(function(){return Nn(t)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Fv(function(){return Nn(a)},n.recurrentDropout,r,4));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=gu(t,c[0]));var h=Rf(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=gu(a,p[0])),h=ru(h,Rf(a,n.recurrentKernel.read())),n.useBias&&(h=_f(h,n.bias.read()));var f=Tn(h,4,h.rank-1),d=f[0],m=f[1],g=f[2],v=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=ru(gu(s,i),gu(o,n.activation.apply(g))),l=n.recurrentActivation.apply(v);var y=gu(l,n.activation.apply(u));return[y,y,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:ng(this.activation),recurrentActivation:ng(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(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}(kv);Hp.registerClass(Dv);var Ov=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 Dv(e),t.call(this,e)||this}return fh(e,t),e.prototype.call=function(e,n){var r=this;return Be(function(){null!=r.cell.dropoutMask&&(Pe(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Pe(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})})},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:ng(this.activation),recurrentActivation:ng(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nd(this.kernelInitializer),recurrentInitializer:nd(this.recurrentInitializer),biasInitializer:nd(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:lg(this.kernelRegularizer),recurrentRegularizer:lg(this.recurrentRegularizer),biasRegularizer:lg(this.biasRegularizer),activityRegularizer:lg(this.activityRegularizer),kernelConstraint:Xh(this.kernelConstraint),recurrentConstraint:Xh(this.recurrentConstraint),biasConstraint:Xh(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}(Iv);Hp.registerClass(Ov);var _v=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return fh(e,t),Object.defineProperty(e.prototype,"stateSize",{get:function(){for(var t=[],e=0,n=this.cells.slice().reverse();e<n.length;e++){var r=n[e];Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t},enumerable:!0,configurable:!0}),e.prototype.call=function(t,e){var n=this;return Be(function(){for(var r=(t=t).slice(1),a=[],i=0,o=n.cells.slice().reverse();i<o.length;i++){var s=o[i];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=a[c],u=0===c?[t[0]].concat(r):[u[0]].concat(r),u=s.call(u,e),l.push(u.slice(1));r=[];for(var p=0,h=l.slice().reverse();p<h.length;p++){var f=h[p];r.push.apply(r,f)}return[u[0]].concat(r)})},e.prototype.build=function(t){var e;ld(t)&&(t=t[0]),t=t,this.cells.forEach(function(n,r){lf("RNNCell_"+r,function(){n.build(t),e=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,t=[t[0],e]})}),this.built=!0},e.prototype.getConfig=function(){for(var e=[],n=0,r=this.cells;n<r.length;n++){var a=r[n];e.push({className:a.getClassName(),config:a.getConfig()})}var i={cells:e},o=t.prototype.getConfig.call(this);return Object.assign(i,o),i},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r=[],a=0,i=e.cells;a<i.length;a++){var o=i[a];r.push(Bd(o,n))}return new t({cells:r})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a=[],i=0,o=this.cells;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.concat(t)}return t},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.weights)}return gd(t)},e.prototype.setWeights=function(t){for(var e=[],n=0,r=this.cells;n<r.length;n++)for(var a=r[n],i=a.weights.length,o=t.splice(i),s=0;s<a.weights.length;++s)e.push([a.weights[s],o[s]]);vd(e)},e.className="StackedRNNCells",e}(kv);function Fv(t,e,n,r){function a(){return Ff(t(),e)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var i=[],o=0;o<r;o++)i.push(Mf(a,t,n));return i.map(function(t){return We(t.clone())})}return We(Mf(a,t,n).clone())}Hp.registerClass(_v);var Mv=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return fh(e,t),e.prototype.build=function(t){this.built=!0},Object.defineProperty(e.prototype,"trainable",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(t){null!=this.layer&&(this.layer.trainable=t)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.layer.getWeights()},e.prototype.setWeights=function(t){this.layer.setWeights(t)},e.prototype.getConfig=function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=Bd(e.layer,n);delete e.layer;var a={layer:r};return Object.assign(a,e),new t(a)},e}(Nd),zv=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return fh(e,t),e.prototype.build=function(e){if((e=hd(e)).length<3)throw new wh("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(e));this.inputSpec=[{shape:e}];var n=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),t.prototype.build.call(this,e)},e.prototype.computeOutputShape=function(t){var e=[(t=hd(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))},e.prototype.call=function(t,e){var n=this;return Be(function(){return Sv(function(t,r){return[pd(n.layer.call(t,e)),[]]},t=pd(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(Mv);Hp.registerClass(zv);var Lv="concat",Bv=function(t){function e(e){var n=t.call(this,e)||this,r=e.layer.getConfig(),a={};a.className=e.layer.getClassName(),a.config=r,n.forwardLayer=Bd(a),r.goBackwards=!0!==r.goBackwards;var i={};if(i.className=e.layer.getClassName(),i.config=r,n.backwardLayer=Bd(i),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?Lv:e.mergeMode,function(t){Lh(ef,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new Ch("weights support is not implemented for Bidirectional layer yet.");return n._stateful=e.layer.stateful,n.returnSequences=e.layer.returnSequences,n.returnState=e.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=e.layer.inputSpec,n.numConstants=null,n}return fh(e,t),Object.defineProperty(e.prototype,"trainable",{get:function(){return this._trainable},set:function(t){this._trainable=t,null!=this.forwardLayer&&(this.forwardLayer.trainable=t),null!=this.backwardLayer&&(this.backwardLayer.trainable=t)},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},e.prototype.setWeights=function(t){var e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))},e.prototype.computeOutputShape=function(t){var e,n,r,a=this.forwardLayer.computeOutputShape(t);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),e=a[0]):e=a[0],e=e,"concat"===this.mergeMode?(e[e.length-1]*=2,n=[e]):n=null==this.mergeMode?[e,e.slice()]:[e],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[e].concat(r).concat(r.slice()):Eh(n)},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Nv(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return t.prototype.apply.call(this,e,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new wh("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map(function(t){return new yd({shape:t.shape})});this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=a)throw new Ch("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof bd,p=0,h=o;p<h.length;p++)if(h[p]instanceof bd!==c)throw new wh("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(c){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=t.prototype.apply.call(this,f,n);return this.inputSpec=m,g}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return Be(function(){if(null!=e.mask)throw new Ch("The support for masking is not implemented for Bidirectional layers yet.");var r,a,i,o,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),a=n.backwardLayer.call(t,e);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(t,Object.assign(e,{initialState:u})),a=n.backwardLayer.call(t,Object.assign(e,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=al(a,1)),"concat"===n.mergeMode?o=If([r,a]):"sum"===n.mergeMode?o=ru(r,a):"ave"===n.mergeMode?o=gu(.5,ru(r,a)):"mul"===n.mergeMode?o=gu(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o})},e.prototype.resetStates=function(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},e.prototype.build=function(t){var e=this;lf(this.forwardLayer.name,function(){e.forwardLayer.build(t)}),lf(this.backwardLayer.name,function(){e.backwardLayer.build(t)}),this.built=!0},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)},e.prototype.getConfig=function(){var e={mergeMode:this.mergeMode},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.fromConfig=function(t,e){var n=Bd(e.layer);if(delete e.layer,null!=e.numConstants)throw new Ch("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=e;return r.layer=n,new t(r)},e.className="Bidirectional",e}(Mv);function Pv(t){return new cv(t)}function Wv(t){return new fv(t)}function Vv(t){return new gv(t)}function Uv(t){return new bv(t)}function jv(t){return new Cv(t)}function Gv(t){return new lv(t)}function qv(t){return new hv(t)}Hp.registerClass(Bv);var Hv=Uv,Kv=jv,Xv=Gv,$v=qv;var Yv=Object.freeze({inputLayer:function(t){return new Id(t)},elu:function(t){return new mg(t)},reLU:function(t){return new hg(t)},leakyReLU:function(t){return new fg(t)},prelu:function(t){return new dg(t)},softmax:function(t){return new vg(t)},thresholdedReLU:function(t){return new gg(t)},conv1d:function(t){return new Tg(t)},conv2d:function(t){return new kg(t)},conv2dTranspose:function(t){return new Ag(t)},conv3d:function(t){return new Eg(t)},separableConv2d:function(t){return new Rg(t)},cropping2D:function(t){return new Dg(t)},upSampling2d:function(t){return new Og(t)},depthwiseConv2d:function(t){return new _g(t)},activation:function(t){return new Lg(t)},dense:function(t){return new Mg(t)},dropout:function(t){return new Fg(t)},flatten:function(t){return new zg(t)},repeatVector:function(t){return new Bg(t)},reshape:function(t){return new Pg(t)},permute:function(t){return new Wg(t)},embedding:function(t){return new Ug(t)},add:function(t){return new Gg(t)},average:function(t){return new Hg(t)},concatenate:function(t){return new $g(t)},maximum:function(t){return new Kg(t)},minimum:function(t){return new Xg(t)},multiply:function(t){return new qg(t)},dot:function(t){return new Jg(t)},batchNormalization:function(t){return new rv(t)},layerNormalization:function(t){return new av(t)},zeroPadding2d:function(t){return new iv(t)},averagePooling1d:Pv,avgPool1d:function(t){return Pv(t)},avgPooling1d:function(t){return Pv(t)},averagePooling2d:Wv,avgPool2d:function(t){return Wv(t)},avgPooling2d:function(t){return Wv(t)},averagePooling3d:Vv,avgPool3d:function(t){return Vv(t)},avgPooling3d:function(t){return Vv(t)},globalAveragePooling1d:function(t){return new yv(t)},globalAveragePooling2d:function(t){return new wv(t)},globalMaxPooling1d:Uv,globalMaxPooling2d:jv,maxPooling1d:Gv,maxPooling2d:qv,maxPooling3d:function(t){return new mv(t)},gru:function(t){return new Tv(t)},gruCell:function(t){return new Rv(t)},lstm:function(t){return new Ov(t)},lstmCell:function(t){return new Dv(t)},simpleRNN:function(t){return new Av(t)},simpleRNNCell:function(t){return new Ev(t)},rnn:function(t){return new Iv(t)},stackedRNNCells:function(t){return new _v(t)},bidirectional:function(t){return new Bv(t)},timeDistributed:function(t){return new zv(t)},globalMaxPool1d:Hv,globalMaxPool2d:Kv,maxPool1d:Xv,maxPool2d:$v,Layer:Nd,RNN:Iv,RNNCell:kv,input:Um,gaussianNoise:function(t){return new Zg(t)},gaussianDropout:function(t){return new Qg(t)},alphaDropout:function(t){return new tv(t)},masking:function(t){return new Vg(t)}});var Jv=Object.freeze({binaryAccuracy:function(t,e){return $d(t,e)},binaryCrossentropy:function(t,e){return tm(t,e)},sparseCategoricalAccuracy:function(t,e){return em(t,e)},categoricalAccuracy:function(t,e){return Yd(t,e)},categoricalCrossentropy:function(t,e){return nm(t,e)},precision:function(t,e){return Zd(t,e)},recall:function(t,e){return Qd(t,e)},cosineProximity:function(t,e){return Hd(t,e)},meanAbsoluteError:function(t,e){return Vd(t,e)},meanAbsolutePercentageError:function(t,e){return Ud(t,e)},MAPE:function(t,e){return Ud(t,e)},mape:function(t,e){return Ud(t,e)},meanSquaredError:function(t,e){return Wd(t,e)},MSE:function(t,e){return Wd(t,e)},mse:function(t,e){return Wd(t,e)}}),Zv=Object.freeze({modelFromJSON:function(t,e){return gh(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l;return vh(this,function(c){switch(c.label){case 0:return"modelTopology"in t||(t={modelTopology:t}),null!=(n=(t=t).modelTopology).model_config&&(n=n.model_config),r=fm(n),a=Bd(r,e),null==t.weightsManifest?[3,2]:[4,Bp.loadWeights(t.weightsManifest,t.pathPrefix,a.weights.map(function(t){return t.originalName}))];case 1:for(i=c.sent(),o={},s=0,u=a.weights;s<u.length;s++)l=u[s],o[l.originalName]=i[l.originalName];a.loadWeights(o),Pe(i),c.label=2;case 2:return[2,a]}})})}});var Qv=Object.freeze({l1l2:function(t){return new sg(t)},l1:function(t){return function(t){return ig(t),new sg({l1:null!=t?t.l1:null,l2:0})}(t)},l2:function(t){return function(t){return ig(t),new sg({l2:null!=t?t.l2:null,l1:0})}(t)}}),ty=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.model=null,e}return fh(e,t),e.prototype.setModel=function(t){if(!(t instanceof Pm))throw new Error("model must be a LayersModel, not some other Container");this.model=t},e}(Td);function ey(t,e){return t<e}function ny(t,e){return t>e}var ry=function(t){function e(e){var n=t.call(this)||this;if(null==e&&(e={}),e.restoreBestWeights)throw new Ch("restoreBestWeights = True is not implemented in EarlyStopping yet.");return n.monitor=e.monitor||"val_loss",n.minDelta=Math.abs(e.minDelta||0),n.patience=e.patience||0,n.verbose=e.verbose||0,n.mode=e.mode||"auto",n.baseline=e.baseline,-1===["auto","min","max"].indexOf(n.mode)&&(console.warn("EarlyStopping mode '"+n.mode+"' is invalid. Falling back to mode 'auto'."),n.mode="auto"),"min"===n.mode?n.monitorFunc=ey:"max"===n.mode?n.monitorFunc=ny:-1!==n.monitor.indexOf("acc")?n.monitorFunc=ny:n.monitorFunc=ey,n.monitorFunc===ey&&(n.minDelta*=-1),n}return fh(e,t),e.prototype.onTrainBegin=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===ey?1/0:-1/0,[2]})})},e.prototype.onEpochEnd=function(t,e){return gh(this,void 0,void 0,function(){var n;return vh(this,function(r){switch(r.label){case 0:return[4,Ed(e)];case 1:return r.sent(),null==(n=this.getMonitorValue(e))?[2]:(this.monitorFunc(n-this.minDelta,this.best)?(this.best=n,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0)),[2])}})})},e.prototype.onTrainEnd=function(t){return gh(this,void 0,void 0,function(){return vh(this,function(t){return this.stoppedEpoch>0&&this.verbose&&console.log("Epoch "+this.stoppedEpoch+": early stopping."),[2]})})},e.prototype.getMonitorValue=function(t){null==t&&(t={});var e=t[this.monitor];return null==e&&console.warn("Metric for EarlyStopping "+this.monitor+" is not available. Available metrics are: "+Object.keys(t)),e},e}(ty);var ay,iy,oy={earlyStopping:function(t){return new ry(t)}},sy=function(){return(sy=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var a in e=arguments[n])Object.prototype.hasOwnProperty.call(e,a)&&(t[a]=e[a]);return t}).apply(this,arguments)};function uy(t,e,n,r){return new(n||(n=Promise))(function(a,i){function o(t){try{u(r.next(t))}catch(t){i(t)}}function s(t){try{u(r.throw(t))}catch(t){i(t)}}function u(t){t.done?a(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function ly(t,e){var n,r,a,i,o={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(a=2&i[0]?r.return:i[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,i[1])).done)return a;switch(r=0,a&&(i=[2&i[0],a.value]),i[0]){case 0:case 1:a=i;break;case 4:return o.label++,{value:i[1],done:!1};case 5:o.label++,r=i[1],i=[0];continue;case 7:i=o.ops.pop(),o.trys.pop();continue;default:if(!(a=(a=o.trys).length>0&&a[a.length-1])&&(6===i[0]||2===i[0])){o=0;continue}if(3===i[0]&&(!a||i[1]>a[0]&&i[1]<a[3])){o.label=i[1];break}if(6===i[0]&&o.label<a[1]){o.label=a[1],a=i;break}if(a&&o.label<a[2]){o.label=a[2],o.ops.push(i);break}a[2]&&o.ops.pop(),o.trys.pop();continue}i=e.call(t,o)}catch(t){i=[6,t],r=0}finally{n=a=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}!function(t){t[t.DT_INVALID=0]="DT_INVALID",t[t.DT_FLOAT=1]="DT_FLOAT",t[t.DT_DOUBLE=2]="DT_DOUBLE",t[t.DT_INT32=3]="DT_INT32",t[t.DT_UINT8=4]="DT_UINT8",t[t.DT_INT16=5]="DT_INT16",t[t.DT_INT8=6]="DT_INT8",t[t.DT_STRING=7]="DT_STRING",t[t.DT_COMPLEX64=8]="DT_COMPLEX64",t[t.DT_INT64=9]="DT_INT64",t[t.DT_BOOL=10]="DT_BOOL",t[t.DT_QINT8=11]="DT_QINT8",t[t.DT_QUINT8=12]="DT_QUINT8",t[t.DT_QINT32=13]="DT_QINT32",t[t.DT_BFLOAT16=14]="DT_BFLOAT16",t[t.DT_FLOAT_REF=101]="DT_FLOAT_REF",t[t.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",t[t.DT_INT32_REF=103]="DT_INT32_REF",t[t.DT_UINT8_REF=104]="DT_UINT8_REF",t[t.DT_INT16_REF=105]="DT_INT16_REF",t[t.DT_INT8_REF=106]="DT_INT8_REF",t[t.DT_STRING_REF=107]="DT_STRING_REF",t[t.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",t[t.DT_INT64_REF=109]="DT_INT64_REF",t[t.DT_BOOL_REF=110]="DT_BOOL_REF",t[t.DT_QINT8_REF=111]="DT_QINT8_REF",t[t.DT_QUINT8_REF=112]="DT_QUINT8_REF",t[t.DT_QINT32_REF=113]="DT_QINT32_REF",t[t.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF"}(ay||(ay={})),function(t){!function(t){t[t.LEGACY=0]="LEGACY",t[t.V1=1]="V1",t[t.V2=2]="V2"}(t.CheckpointFormatVersion||(t.CheckpointFormatVersion={}))}(iy||(iy={}));var cy={};function py(t){return cy[t]}function hy(t,e,n,r){var a=e.inputParams[t];if(a&&void 0!==a.inputIndexStart){var i=a.inputIndexStart,o=0===a.inputIndexEnd?void 0:void 0===a.inputIndexEnd?i+1:a.inputIndexEnd;if("tensor"===a.type)return fy(e.inputNames[a.inputIndexStart],n,r);if("tensors"===a.type)return e.inputNames.slice(i,o).map(function(t){return fy(t,n,r)});var s=Array.prototype.slice.call(fy(e.inputNames.slice(i)[0],n,r).dataSync());return"number"===a.type?s[0]:s}var u=e.attrParams[t];return u&&u.value}function fy(t,e,n){var r=gy(t),a=r[0],i=r[1],o=n.currentContextIds.find(function(t){return!!e[my(a,t)]});return void 0!==o?e[my(a,o)][i]:void 0}function dy(t,e){var n=gy(t),r=n[0],a=n[1];return[my(r,e&&e.currentContextId),a]}function my(t,e){return e?t+"-"+e:t}function gy(t){var e=t.lastIndexOf(":");return-1===e?[t,0]:[t.substring(0,e),Number(t.substring(e+1))]}function vy(t,e){for(var n=[],r=0;r<t.length;r+=e)n.push(t.slice(r,r+e));return n}var yy=Object.freeze({json:[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]}),by=Object.freeze({json:[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"clip_value_min",name:"clipValueMin",type:"number"},{tfName:"clip_value_max",name:"clipValueMax",type:"number"}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"clipValueMin",name:"clipValueMin",type:"number",defaultValue:0},{tfName:"clipValueMax",name:"clipValueMax",type:"number",defaultValue:6}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]}),xy=Object.freeze({json:[{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"number"}]}]}),wy=Object.freeze({json:[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]}]}),Cy=Object.freeze({json:[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}]}),Ny=Object.freeze({json:[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]}),Sy=Object.freeze({json:[{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]}]}),Iy=Object.freeze({json:[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}]}),ky=Object.freeze({json:[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]}]}),Ey=Object.freeze({json:[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]}),Ay=Object.freeze({json:[{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]}),Ry=Object.freeze({json:[{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}]}),Ty=Object.freeze({json:[{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]}]}),Dy=Object.freeze({json:[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool",notSupported:!0}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}]}),Oy=Object.freeze({json:[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}]}),_y=Object.freeze({json:[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]}]}),Fy=function(){function t(){var t=[yy,by,xy,wy,Cy,Ny,Sy,Ey,ky,Iy,Ay,Ry,Ty,Dy,Oy,_y],e=[].concat.apply([],t.map(function(t){return t.json}));this.opMappers=e.reduce(function(t,e){return t[e.tfOpName]=e,t},{})}return Object.defineProperty(t,"Instance",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),t.prototype.transformGraph=function(t){var e=this,n=[],r=[],a=t.node.reduce(function(t,a){return t[a.name]=e.mapNode(a),"Placeholder"===a.op&&n.push(t[a.name]),"Const"===a.op&&r.push(t[a.name]),t},{}),i=[],o=[],s=Object.keys(a);return s.forEach(function(t){var e=a[t];e.inputNames.forEach(function(t){var n=dy(t)[0];e.inputs.push(a[n]),a[n].children.push(e)}),0===e.inputs.length&&i.push(e)}),s.forEach(function(t){var e=a[t];0===e.children.length&&o.push(e)}),{nodes:a,inputs:i,outputs:o,weights:r,placeholders:n}},t.prototype.mapNode=function(t){var e=py(t.op)||this.opMappers[t.op]||{};null==t.attr&&(t.attr={});var n={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(function(t){return t.startsWith("^")?t.substr(1):t}),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr};return null!=e.inputs&&(n.inputParams=e.inputs.reduce(function(t,e){return t[e.name]={type:e.type,inputIndexStart:e.start,inputIndexEnd:e.end},t},{})),null!=e.attrs&&(n.attrParams=e.attrs.reduce(function(e,n){var r=n.type,a=void 0;switch(n.type){case"string":void 0===(a=zy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=zy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"string[]":void 0===(a=qy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=qy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"number":void 0===(a=By(t.attr,n.tfName,n.defaultValue||0))&&n.tfDeprecatedName&&(a=By(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"number[]":void 0===(a=Gy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Gy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool":void 0===(a=Ly(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Ly(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool[]":void 0===(a=Ky(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Ky(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape":void 0===(a=jy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=jy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape[]":void 0===(a=Hy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Hy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype":void 0===(a=Wy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Wy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype[]":void 0===(a=Vy(t.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Vy(t.attr,n.tfDeprecatedName,n.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+n.type+" for op: "+t.op)}return e[n.name]={value:a,type:r},e},{})),n},t}();function My(t,e){var n=Array.isArray(t)?String.fromCharCode.apply(null,t):function(t){var e=o().global;if(void 0!==e.atob)return e.atob(t);if("undefined"!=typeof Buffer)return new Buffer(t,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(t);return e?n:n.toLowerCase()}function zy(t,e,n,r){void 0===r&&(r=!1);var a=t[e];return null!=a?My(a.s,r):n}function Ly(t,e,n){var r=t[e];return r?r.b:n}function By(t,e,n){var r=t[e]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function Py(t){switch("string"==typeof t&&(t=ay[t]),t){case ay.DT_FLOAT:return"float32";case ay.DT_INT32:case ay.DT_INT64:return"int32";case ay.DT_BOOL:return"bool";case ay.DT_DOUBLE:return"float32";case ay.DT_STRING:return"string";default:return null}}function Wy(t,e,n){var r=t[e];return r&&r.type?Py(r.type):n}function Vy(t,e,n){var r=t[e];return r&&r.list&&r.list.type?r.list.type.map(function(t){return Py(t)}):n}function Uy(t){if(!t.unknownRank)return null!=t.dim?t.dim.map(function(t){return"number"==typeof t.size?t.size:parseInt(t.size,10)}):[]}function jy(t,e,n){var r=t[e];return r&&r.shape?Uy(r.shape):n}function Gy(t,e,n){var r=t[e];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(t){return"number"==typeof t?t:parseInt(t,10)}):n}function qy(t,e,n,r){void 0===r&&(r=!1);var a=t[e];return a&&a.list&&a.list.s?a.list.s.map(function(t){return My(t,r)}):n}function Hy(t,e,n){var r=t[e];return r&&r.list&&r.list.shape?r.list.shape.map(function(t){return Uy(t)}):n}function Ky(t,e,n){var r=t[e];return r&&r.list&&r.list.b?r.list.b:n}var Xy=function(){function t(t,e,n){var r=this;this.node=t,this.tensorMap=e,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(t){return r.getInput(t)}),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(t,e){return t[e]=r.getAttr(e),t},{}))}return t.prototype.getInput=function(t){return fy(t,this.tensorMap,this.context)},t.prototype.getAttr=function(t,e){var n=this.node.rawAttrs[t];if(null!=n.tensor)return fy(t,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return By(this.node.rawAttrs,t,e);if(null!=n.s)return zy(this.node.rawAttrs,t,e);if(null!=n.b)return Ly(this.node.rawAttrs,t,e);if(null!=n.shape)return jy(this.node.rawAttrs,t,e);if(null!=n.type)return Wy(this.node.rawAttrs,t,e);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return Gy(this.node.rawAttrs,t,e);if(null!=n.list.s)return qy(this.node.rawAttrs,t,e);if(null!=n.list.shape)return Hy(this.node.rawAttrs,t,e);if(null!=n.list.b)return Ky(this.node.rawAttrs,t,e);if(null!=n.list.type)return Vy(this.node.rawAttrs,t,e)}return e},t}(),$y=function(t,e,n){switch(t.op){case"BiasAdd":case"AddV2":case"Add":return[ru(hy("a",t,e,n),hy("b",t,e,n))];case"AddN":return[au(hy("tensors",t,e,n))];case"FloorMod":case"Mod":return[du(hy("a",t,e,n),hy("b",t,e,n))];case"Mul":return[gu(hy("a",t,e,n),hy("b",t,e,n))];case"RealDiv":case"Div":return[su(hy("a",t,e,n),hy("b",t,e,n))];case"FloorDiv":return[lu(hy("a",t,e,n),hy("b",t,e,n))];case"Sub":return[Cu(hy("a",t,e,n),hy("b",t,e,n))];case"Minimum":return[hu(hy("a",t,e,n),hy("b",t,e,n))];case"Maximum":return[cu(hy("a",t,e,n),hy("b",t,e,n))];case"Pow":return[yu(hy("a",t,e,n),hy("b",t,e,n))];case"SquaredDifference":return[xu(hy("a",t,e,n),hy("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Yy=function(t,e,n){switch(t.op){case"Abs":case"ComplexAbs":return[rs(hy("x",t,e,n))];case"Acos":return[as(hy("x",t,e,n))];case"Acosh":return[is(hy("x",t,e,n))];case"Asin":return[os(hy("x",t,e,n))];case"Asinh":return[ss(hy("x",t,e,n))];case"Atan":return[us(hy("x",t,e,n))];case"Atan2":return[ou(hy("x",t,e,n),hy("y",t,e,n))];case"Atanh":return[ls(hy("x",t,e,n))];case"Ceil":return[cs(hy("x",t,e,n))];case"Complex":return[an(hy("real",t,e,n),hy("imag",t,e,n))];case"Cos":return[hs(hy("x",t,e,n))];case"Cosh":return[fs(hy("x",t,e,n))];case"Elu":return[_l(hy("x",t,e,n))];case"Erf":return[ds(hy("x",t,e,n))];case"Exp":return[ms(hy("x",t,e,n))];case"Expm1":return[gs(hy("x",t,e,n))];case"Floor":return[vs(hy("x",t,e,n))];case"Log":return[ys(hy("x",t,e,n))];case"Log1p":return[bs(hy("x",t,e,n))];case"Imag":return[sn(hy("x",t,e,n))];case"Neg":return[ws(hy("x",t,e,n))];case"Reciprocal":return[Cs(hy("x",t,e,n))];case"Real":return[on(hy("x",t,e,n))];case"Relu":return[zl(hy("x",t,e,n))];case"Round":return[Ns(hy("x",t,e,n))];case"Selu":return[Bl(hy("x",t,e,n))];case"Sigmoid":return[Is(hy("x",t,e,n))];case"Sin":return[Ts(hy("x",t,e,n))];case"Sign":return[ks(hy("x",t,e,n))];case"Sinh":return[Ds(hy("x",t,e,n))];case"Softplus":return[Os(hy("x",t,e,n))];case"Sqrt":return[_s(hy("x",t,e,n))];case"Square":return[ns(hy("x",t,e,n))];case"Tanh":return[zs(hy("x",t,e,n))];case"Tan":return[Ms(hy("x",t,e,n))];case"Relu6":case"ClipByValue":return[ps(hy("x",t,e,n),hy("clipValueMin",t,e,n),hy("clipValueMax",t,e,n))];case"Rsqrt":return[Ss(fy(t.inputNames[0],e,n))];case"Prod":return[Ol(hy("x",t,e,n),hy("axes",t,e,n))];case"LeakyRelu":return[Fl(hy("x",t,e,n),hy("alpha",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Jy=function(){function t(e,n,r,a,i,o,s){this.name=e,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.id=t.nextId++}return Object.defineProperty(t.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),t.prototype.clearAndClose=function(){this.tensors.forEach(function(t){return t.tensor.dispose()}),this.tensors=[],this.closed_=!0},t.prototype.size=function(){return this.tensors.length},t.prototype.read=function(t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||t>=this.tensors.length)throw new Error("Tried to read from index "+t+", but array size is: "+this.tensors.length);var e=this.tensors[t];if(e.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+t+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor},t.prototype.readMany=function(t){var e=this;return t.map(function(t){return e.read(t)})},t.prototype.write=function(t,e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error("Tried to write to index "+t+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+",\n          because the value dtype is "+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=e.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),n&&n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(n&&n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");n.tensor=e,n.written=!0,this.tensors[t]=n},t.prototype.writeMany=function(t,e){var n=this;if(t.length!==e.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+t.length+" is not the same as tensors size: "+e.length+".");t.forEach(function(t,r){return n.write(t,e[r])})},t.prototype.gather=function(t,e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+e);if(!t){t=[];for(var n=0;n<this.size();n++)t.push(n)}if(0===t.length)return un([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),hr(r,0)},t.prototype.concat=function(t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+t);if(0===this.size())return un([],[0].concat(this.elementShape));for(var e=[],n=0;n<this.size();n++)e.push(n);var r=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),In(r,0)},t.prototype.scatter=function(t,e){if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var n=Math.max.apply(Math,t);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(t,mr(e,0))},t.prototype.split=function(t,e){var n=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,a=t.map(function(t){return r+=t});if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:e.size/r,o=[];Be(function(){e=e.reshape([1,r,i]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,t[s],i];o[s]=gl(e,u,l).reshape(n.elementShape)}return o});for(var s=[],u=0;u<t.length;u++)s[u]=u;this.writeMany(s,o)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),Q.assert(this.shapesEqualAllowUndefinedSize(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})},t.prototype.shapesEqualAllowUndefinedSize=function(t,e){if(t.length!==e.length)return!1;for(var n=0;n<t.length;n++)if(-1!==t[n]&&-1!==e[n]&&t[n]!==e[n])return!1;return!0},t.nextId=0,t}();var Zy=function(t,e,n){var r,a;switch(t.op){case"Conv1D":var i=hy("stride",t,e,n),o=hy("pad",t,e,n),s=hy("dataFormat",t,e,n).toUpperCase(),u=hy("dilation",t,e,n);return[Gu(hy("x",t,e,n),hy("filter",t,e,n),i,o,s,u)];case"Conv2D":i=hy("strides",t,e,n),o=hy("pad",t,e,n),s=hy("dataFormat",t,e,n).toUpperCase();var l=hy("dilations",t,e,n);return[qu(hy("x",t,e,n),hy("filter",t,e,n),[i[1],i[2]],o,s,[l[1],l[2]])];case"_FusedConv2D":var c=(r=hy("fusedOps",t,e,n))[0],p=r[1],h="biasadd"===c,f="prelu"===p,d="fusedbatchnorm"===c,m=hy("numArgs",t,e,n);if(h){if(f&&2!==m)throw new Error("Fused Conv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==m)throw new Error("Fused Conv2d with BiasAdd must have one extra argument: bias.")}if(d)throw new Error("Fused Conv2d with FusedBatchNorm is not supported.");i=hy("strides",t,e,n),o=hy("pad",t,e,n),s=hy("dataFormat",t,e,n).toUpperCase(),l=hy("dilations",t,e,n);var g=(a=hy("args",t,e,n))[0],v=a[1];return[Lc.conv2d({x:hy("x",t,e,n),filter:hy("filter",t,e,n),strides:[i[1],i[2]],pad:o,dataFormat:s,dilations:[l[1],l[2]],bias:g,activation:p,preluActivationWeights:v})];case"Conv2DBackpropInput":case"Conv2dTranspose":var y=hy("outputShape",t,e,n);return i=hy("strides",t,e,n),o=hy("pad",t,e,n),[Qu(hy("x",t,e,n),hy("filter",t,e,n),y,[i[1],i[2]],o)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return i=hy("strides",t,e,n),o=hy("pad",t,e,n),l=hy("dilations",t,e,n),s=hy("dataFormat",t,e,n).toUpperCase(),[$u(hy("input",t,e,n),hy("filter",t,e,n),[i[1],i[2]],o,s,[l[1],l[2]])];case"Conv3D":return i=hy("strides",t,e,n),o=hy("pad",t,e,n),s=hy("dataFormat",t,e,n).toUpperCase(),l=hy("dilations",t,e,n),[Hu(hy("x",t,e,n),hy("filter",t,e,n),[i[1],i[2],i[3]],o,s,[l[1],l[2],l[3]])];case"AvgPool":i=hy("strides",t,e,n),o=hy("pad",t,e,n);var b=hy("kernelSize",t,e,n);return[hl(hy("x",t,e,n),[b[1],b[2]],[i[1],i[2]],o)];case"MaxPool":return i=hy("strides",t,e,n),o=hy("pad",t,e,n),b=hy("kernelSize",t,e,n),[pl(hy("x",t,e,n),[b[1],b[2]],[i[1],i[2]],o)];case"AvgPool3D":return i=hy("strides",t,e,n),o=hy("pad",t,e,n),b=hy("kernelSize",t,e,n),[ml(hy("x",t,e,n),[b[1],b[2],b[3]],[i[1],i[2],i[3]],o)];case"MaxPool3D":return i=hy("strides",t,e,n),o=hy("pad",t,e,n),b=hy("kernelSize",t,e,n),[dl(hy("x",t,e,n),[b[1],b[2],b[3]],[i[1],i[2],i[3]],o)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Qy=function(t,e,n){switch(t.op){case"Fill":var r=hy("shape",t,e,n),a=hy("dtype",t,e,n);return[xn(r,hy("value",t,e,n),a)];case"LinSpace":var i=hy("start",t,e,n);return[wn(i,hy("stop",t,e,n),hy("num",t,e,n))];case"Multinomial":var o=hy("logits",t,e,n),s=hy("numSamples",t,e,n),u=hy("seed",t,e,n);return[Zn(o,s,u)];case"OneHot":var l=hy("indices",t,e,n),c=hy("depth",t,e,n),p=hy("onValue",t,e,n),h=hy("offValue",t,e,n);return[Qn(l,c,p,h)];case"Ones":return[yn(hy("shape",t,e,n),hy("dtype",t,e,n))];case"OnesLike":return[Nn(hy("x",t,e,n))];case"RandomUniform":return[ur(hy("shape",t,e,n),hy("minval",t,e,n),hy("maxval",t,e,n),hy("dtype",t,e,n))];case"Range":return[Cn(i=hy("start",t,e,n),hy("stop",t,e,n),hy("step",t,e,n),hy("dtype",t,e,n))];case"TruncatedNormal":r=hy("shape",t,e,n);var f=hy("mean",t,e,n),d=hy("stdDev",t,e,n);return u=hy("seed",t,e,n),[dr(r,f,d,hy("dtype",t,e,n),u)];case"Zeros":return[bn(hy("shape",t,e,n),hy("dtype",t,e,n))];case"ZerosLike":return[Sn(hy("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}};var tb=function(t,e,n){switch(t.op){case"TopKV2":var r=hy("x",t,e,n),a=hy("k",t,e,n),i=hy("sorted",t,e,n),o=Hl(r,a,i);return[o.values,o.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},eb=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=hy("default",t,e,n);return[fy(t.name,e,n)||r];case"Placeholder":return[fy(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[hy("x",t,e,n).clone()];case"IdentityN":return hy("x",t,e,n).map(function(t){return t.clone()});case"Snapshot":return[hy("x",t,e,n).clone()];case"Shape":return[pn(hy("x",t,e,n).shape,"int32")];case"ShapeN":return hy("x",t,e,n).map(function(t){return pn(t.shape)});case"Size":return[cn(hy("x",t,e,n).size,"int32")];case"Rank":return[cn(hy("x",t,e,n).rank,"int32")];case"NoOp":return[];case"Print":var a=hy("x",t,e,n),i=hy("data",t,e,n),o=hy("message",t,e,n),s=hy("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+t.op+" is not implemented")}},nb=function(t,e,n){switch(t.op){case"ResizeBilinear":var r=hy("images",t,e,n),a=hy("size",t,e,n),i=hy("alignCorners",t,e,n);return[Rc.resizeBilinear(r,[a[0],a[1]],i)];case"ResizeNearestNeighbor":return r=hy("images",t,e,n),a=hy("size",t,e,n),i=hy("alignCorners",t,e,n),[Rc.resizeNearestNeighbor(r,[a[0],a[1]],i)];case"CropAndResize":var o=hy("image",t,e,n),s=hy("boxes",t,e,n),u=hy("boxInd",t,e,n),l=hy("cropSize",t,e,n),c=hy("method",t,e,n),p=hy("extrapolationValue",t,e,n);return[Rc.cropAndResize(o,s,u,l,c,p)];default:throw TypeError("Node type "+t.op+" is not implemented")}},rb=function(t,e,n){switch(t.op){case"Equal":return[Su(hy("a",t,e,n),hy("b",t,e,n))];case"NotEqual":return[Fu(hy("a",t,e,n),hy("b",t,e,n))];case"Greater":return[ku(hy("a",t,e,n),hy("b",t,e,n))];case"GreaterEqual":return[Eu(hy("a",t,e,n),hy("b",t,e,n))];case"Less":return[Tu(hy("a",t,e,n),hy("b",t,e,n))];case"LessEqual":return[Du(hy("a",t,e,n),hy("b",t,e,n))];case"LogicalAnd":return[Js(hy("a",t,e,n),hy("b",t,e,n))];case"LogicalNot":return[Zs(hy("a",t,e,n))];case"LogicalOr":return[Qs(hy("a",t,e,n),hy("b",t,e,n))];case"Select":return[eu(hy("condition",t,e,n),hy("a",t,e,n),hy("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ab=function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[el(hy("a",t,e,n),hy("b",t,e,n),hy("transposeA",t,e,n),hy("transposeB",t,e,n))];case"Transpose":return[Pl(hy("x",t,e,n),hy("perm",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ib=function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Ks(hy("x",t,e,n),hy("mean",t,e,n),hy("variance",t,e,n),hy("offset",t,e,n),hy("scale",t,e,n),hy("epsilon",t,e,n))];case"LRN":return[Wl(hy("x",t,e,n),hy("radius",t,e,n),hy("bias",t,e,n),hy("alpha",t,e,n),hy("beta",t,e,n))];case"Softmax":return[Lr(hy("x",t,e,n))];case"LogSoftmax":return[Br(hy("x",t,e,n))];case"SparseToDense":return[Ql(hy("sparseIndices",t,e,n),hy("outputShape",t,e,n),hy("sparseValues",t,e,n),hy("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ob=function(t,e,n){switch(t.op){case"Max":var r=hy("axis",t,e,n),a=hy("keepDims",t,e,n);return[El(hy("x",t,e,n),r,a)];case"Mean":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Al(hy("x",t,e,n),r,a)];case"Min":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Rl(hy("x",t,e,n),r,a)];case"Sum":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Dl(hy("x",t,e,n),r,a)];case"All":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Cl(hy("x",t,e,n),r,a)];case"Any":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Nl(hy("x",t,e,n),r,a)];case"ArgMax":return r=hy("axis",t,e,n),[Sl(hy("x",t,e,n),r)];case"ArgMin":return r=hy("axis",t,e,n),[Il(hy("x",t,e,n),r)];case"Prod":return r=hy("axis",t,e,n),a=hy("keepDims",t,e,n),[Ol(hy("x",t,e,n),r,a)];default:throw TypeError("Node type "+t.op+" is not implemented")}},sb=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=hy("axis",t,e,n),a=hy("tensors",t,e,n);return[In(a,r)];case"GatherV2":case"Gather":r=hy("axis",t,e,n);var i=hy("x",t,e,n),o=hy("indices",t,e,n);return[Bu(i,o.asType("int32"),r)];case"ReverseV2":case"Reverse":return r=hy("axis",t,e,n),i=hy("x",t,e,n),[al(i,r)];case"Slice":var s=hy("begin",t,e,n),u=hy("size",t,e,n);return[gl(hy("x",t,e,n),s,u)];case"StridedSlice":s=hy("begin",t,e,n);var l=hy("end",t,e,n),c=hy("strides",t,e,n),p=hy("beginMask",t,e,n),h=hy("endMask",t,e,n),f=hy("ellipsisMask",t,e,n),d=hy("newAxisMask",t,e,n),m=hy("shrinkAxisMask",t,e,n),g=hy("x",t,e,n);if(1===s.length&&g.shape.length>1)for(var v=1;v<g.shape.length;v++)s.push(0),l.push(g.shape[v]),c.push(c[0]);return[ql(g,s,l,c,p,h,f,d,m)];case"Pack":return Be(function(){var r=hy("axis",t,e,n),a=hy("tensors",t,e,n),i=a[0].shape,o=a[0].squeeze().shape,s=a.map(function(t){var e=Q.arraysEqual(t.shape,i);if(!e&&!Q.arraysEqual(t.squeeze().shape,o))throw new Error("the input tensors shape does not match");return e?t:t.reshape(i)});return[hr(s,r)]});case"Unpack":return Be(function(){var r=hy("axis",t,e,n),a=hy("tensor",t,e,n);return mr(a,r)});case"Tile":var y=hy("reps",t,e,n);return[fr(hy("x",t,e,n),y)];case"Split":case"SplitV":r=hy("axis",t,e,n);var b=hy("numOrSizeSplits",t,e,n);return Tn(hy("x",t,e,n),b,r);case"ScatterNd":o=hy("indices",t,e,n);var x=hy("values",t,e,n),w=hy("shape",t,e,n);return[Kl(o,x,w)];case"GatherNd":var C=hy("x",t,e,n);return o=hy("indices",t,e,n),[tc(C,o)];case"SparseToDense":o=hy("sparseIndices",t,e,n),w=hy("outputShape",t,e,n);var N=hy("sparseValues",t,e,n),S=hy("defaultValue",t,e,n);return[Ql(o,N,w,N.dtype===S.dtype?S:S.asType(N.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},ub=function(t,e,n){switch(t.op){case"FFT":return[Xl(hy("x",t,e,n))];case"IFFT":return[$l(hy("x",t,e,n))];case"RFFT":return[Yl(hy("x",t,e,n))];case"IRFFT":return[Jl(hy("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},lb=function(t,e,n){switch(t.op){case"Cast":return[Hn(hy("x",t,e,n),hy("dtype",t,e,n))];case"ExpandDims":var r=hy("axis",t,e,n);return[Yn(hy("x",t,e,n),r)];case"Squeeze":return r=hy("axis",t,e,n),[pr(hy("x",t,e,n),r)];case"Reshape":return[lr(hy("x",t,e,n),hy("shape",t,e,n))];case"PadV2":case"Pad":return[tr(hy("x",t,e,n),vy(hy("padding",t,e,n),2),hy("constantValue",t,e,n))];case"SpaceToBatchND":var a=hy("blockShape",t,e,n),i=vy(hy("paddings",t,e,n),2);return[cr(hy("x",t,e,n),a,i)];case"BatchToSpaceND":a=hy("blockShape",t,e,n);var o=vy(hy("crops",t,e,n),2);return[qn(hy("x",t,e,n),a,o)];case"DepthToSpace":var s=hy("blockSize",t,e,n),u=hy("dataFormat",t,e,n).toUpperCase();return[$n(hy("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function cb(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return $y(t,e,n);case"basic_math":return Yy(t,e,n);case"control":return function(t,e,n){return uy(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b,x,w,C,N,S,I,k,E,A,R,T,D,O,_,F,M,z;return ly(this,function(L){switch(L.label){case 0:switch(t.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[hy("pred",t,e,n).clone()]];case 2:return r=hy("pred",t,e,n),a=hy("data",t,e,n),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,a.clone()]:[a.clone(),void 0]];case 4:return[2,(i=t.inputNames.find(function(t){return void 0!==fy(t,e,n)}))?[fy(i,e,n).clone()]:void 0];case 5:return o=hy("frameName",t,e,n),s=hy("tensor",t,e,n),n.enterFrame(o),[2,[s.clone()]];case 6:return u=hy("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=hy("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=hy("size",t,e,n),p=hy("dtype",t,e,n),h=hy("elementShape",t,e,n),f=hy("dynamicSize",t,e,n),d=hy("clearAfterRead",t,e,n),m=hy("identicalElementShapes",t,e,n),g=hy("name",t,e,n),v=new Jy(g,p,c,h,m,f,d),n.addTensorArray(v),[2,[cn(v.id),cn(1)]];case 9:return y=hy("tensorArrayId",t,e,n),b=hy("index",t,e,n),x=hy("tensor",t,e,n),n.getTensorArray(y).write(b,x),[2,[cn(1)]];case 10:return w=hy("tensorArrayId",t,e,n),C=hy("index",t,e,n),[2,[n.getTensorArray(w).read(C)]];case 11:return N=hy("tensorArrayId",t,e,n),S=hy("indices",t,e,n),I=hy("dtype",t,e,n),[2,[n.getTensorArray(N).gather(S,I)]];case 12:return k=hy("tensorArrayId",t,e,n),E=hy("indices",t,e,n),A=hy("tensor",t,e,n),n.getTensorArray(k).scatter(E,A),[2,[cn(1)]];case 13:return R=hy("tensorArrayId",t,e,n),T=n.getTensorArray(R),D=hy("dtype",t,e,n),[2,[T.concat(D)]];case 14:return O=hy("tensorArrayId",t,e,n),_=hy("tensor",t,e,n),F=hy("lengths",t,e,n),n.getTensorArray(O).split(F,_),[2,[cn(1)]];case 15:return M=hy("tensorArrayId",t,e,n),[2,[cn(n.getTensorArray(M).size(),"int32")]];case 16:return z=hy("tensorArrayId",t,e,n),n.getTensorArray(z).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"convolution":return Zy(t,e,n);case"creation":return Qy(t,e,n);case"dynamic":return function(t,e,n){return uy(this,void 0,void 0,function(){var r,a,i,o,s;return ly(this,function(u){switch(u.label){case 0:switch(t.op){case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,3];case"ListDiff":return[3,5]}return[3,6];case 1:return r=hy("boxes",t,e,n),a=hy("scores",t,e,n),i=hy("maxOutputSize",t,e,n),o=hy("iouThreshold",t,e,n),s=hy("scoreThreshold",t,e,n),[4,Rc.nonMaxSuppressionAsync(r,a,i,o,s)];case 2:return[2,[u.sent()]];case 3:return[4,nu(hy("condition",t,e,n).asType("bool"))];case 4:return[2,[u.sent()]];case 5:return[2,gr(hy("x",t,e,n),hy("y",t,e,n))];case 6:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"evaluation":return tb(t,e,n);case"image":return nb(t,e,n);case"graph":return eb(t,e,n);case"logical":return rb(t,e,n);case"matrices":return ab(t,e,n);case"normalization":return ib(t,e,n);case"reduction":return ob(t,e,n);case"slice_join":return sb(t,e,n);case"spectral":return ub(t,e,n);case"transformation":return lb(t,e,n);case"custom":var r=py(t.op);if(r&&r.customExecutor)return r.customExecutor(new Xy(t,e,n));throw TypeError("Custom op "+t.op+" is not registered.");default:throw TypeError("Unknown op '"+t.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(t,e,n);return r instanceof Promise?r.then(function(t){return[].concat(t)}):[].concat(r)}var pb=function(){function t(t,e){this.weightMap=t,this.tensorArrayMap=e,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return t.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(t.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),t.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var n=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(n))}t.push(""),this._currentContextIds=t},t.prototype.contextIdforContexts=function(t){return t?t.map(function(t){return 0===t.id&&0===t.iterationId?"":t.frameName+"-"+t.iterationId}).join("/"):""},t.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},t.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.prototype.getWeight=function(t){return this.weightMap[t]},t.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},t.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},t}();function hb(t,e,n){for(var r=new Set,a=[],i=null,o=null,s=new Set,u=e.slice();u.length>0;){var l=u.pop();(mb(l)||gb(l))&&null==i&&(o=(i=l).children.map(function(t){return t.name}).filter(function(t){return r.has(t)})),r.add(l.name),null==n[l.name]&&null==t[l.name]&&(0!==l.inputs.length?l.inputs.forEach(function(t){s.has(t.name)||(s.add(t.name),u.push(t))}):a.push(l.name))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:a,dynamicNode:i,syncInputs:o}}var fb=["Switch","Merge","Enter","Exit","NextIteration"],db=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"];function mb(t){return fb.indexOf(t.op)>=0}function gb(t){return db.indexOf(t.op)>=0}var vb=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=t.placeholders,this._outputs=t.outputs}return Object.defineProperty(t.prototype,"weightMap",{get:function(){return this._weightMap},set:function(t){var e=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})});this.weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this.placeholders.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(t){return t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this.outputs.map(function(t){return t.name})},enumerable:!0,configurable:!0}),t.prototype.getCompilationKey=function(t,e){var n=t.map(function(t){return t.name}).sort(),r=e.map(function(t){return t.name}).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.prototype.compile=function(t,e){var n=hb(t,e,this.weightMap),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '"+a.name+"', which has the dynamic op '"+a.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+i+"]");if(r.length>0){var o=e.map(function(t){return t.name}),s=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(t,e,n){var r=n.usedNodes,a=n.inputs,i=[];Object.keys(a).map(function(e){return t.nodes[e]}).forEach(function(t){r.has(t.name)&&i.push(t)}),t.weights.forEach(function(t){r.has(t.name)&&i.push(t)});for(var o=new Set,s=[];i.length>0;){var u=i.pop();o.add(u.name),e[u.name]||s.push(u),u.children.forEach(function(t){!o.has(t.name)&&r.has(t.name)&&t.inputs.every(function(t){return o.has(t.name)})&&i.push(t)})}return s}(this.graph,this.weightMap,n)},t.prototype.execute=function(t,e){var n=this,r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e);var a=r.map(function(t){return n.graph.nodes[t]}),i=e.map(function(t){return n.graph.nodes[gy(t)[0]]}),o=this.getCompilationKey(a,i),s=this.compiledMap.get(o);null==s&&(s=this.compile(t,i),this.compiledMap.set(o,s));var u={};return Be(function(){var r=new pb(n._weightMap,u),a=sy({},n.weightMap);Object.keys(t).forEach(function(e){a[e]=[t[e]]});for(var i=n.getFrozenTensorIds(a),o={},l=0;l<s.length;l++){var c=s[l];if(!a[c.name]){var p=cb(c,a,r);if(p instanceof Promise)throw new Error("The execution of the op '"+c.op+"' returned a promise. Please use model.executeAsync() instead.");a[c.name]=p,n.checkTensorForDisposal(c.name,c,a,r,i,e,o)}}return e.map(function(t){return fy(t,a,r)})})},t.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(e){return t[e]}).map(function(t){return t.map(function(t){return t.id})}));return new Set(e)},t.prototype.checkTensorForDisposal=function(t,e,n,r,a,i,o){"control"!==e.category&&-1===i.indexOf(t)&&(n[t].forEach(function(t){null!=t&&(o[t.id]=(o[t.id]||0)+e.children.length)}),e.inputs.forEach(function(t){if("control"!==t.category){var e=function(t,e,n){return e[my(t,n.currentContextId)]}(t.name,n,r);null!=e&&e.forEach(function(t){if(t&&!a.has(t.id)){var e=o[t.id];1===e?(t.dispose(),delete o[t.id]):null!=e&&o[t.id]--}})}}))},t.prototype.executeAsync=function(t,e){return uy(this,void 0,void 0,function(){var n,r,a,i,o,s,u=this;return ly(this,function(l){switch(l.label){case 0:return this.checkInputs(t),this.checkInputShapeAndType(t),this.checkOutputs(e),n={},r=new pb(this._weightMap,n),[4,this.executeWithControlFlow(t,r,e)];case 1:return a=l.sent(),i=e.map(function(t){return fy(t,a,r)}),o=new Set(i.map(function(t){return t.id})),s=new Set(Object.keys(t).map(function(e){return t[e].id})),Object.keys(a).forEach(function(t){a[t].forEach(function(t){!t||t.isDisposed||o.has(t.id)||s.has(t.id)||-1!==u.weightIds.indexOf(t.id)||t.dispose()})}),[2,i]}})})},t.prototype.executeWithControlFlow=function(t,e,n){return uy(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,p,h,f,d,m,g,v,y,b=this;return ly(this,function(x){switch(x.label){case 0:r=Object.keys(t),a=r.map(function(t){return b.graph.nodes[t]}),i=n.map(function(t){return b.graph.nodes[gy(t)[0]]}),o=hb(t,i,this.weightMap),s=o.usedNodes,u=o.missingInputs,l=o.dynamicNode,c=o.syncInputs,p=a.concat(this.graph.weights).map(function(t){return{node:t,contexts:e.currentContext}}),h=sy({},this.weightMap),Object.keys(t).forEach(function(e){h[e]=[t[e]]}),f={},d=this.getFrozenTensorIds(h),m={},x.label=1;case 1:return p.length>0?(g=this.processStack(a,p,e,h,m,d,n,f,s),[4,Promise.all(g)]):[3,3];case 2:return x.sent(),[3,1];case 3:if(null==l&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(v=i.filter(function(t){return!mb(t)&&!fy(t.name,h,e)}).map(function(t){return t.name})).length>0)throw y="",null!=l&&(y="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+c+"]"),new Error("Cannot compute the outputs ["+v+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+u+"]. "+y);return[2,h]}})})},t.prototype.processStack=function(t,e,n,r,a,i,o,s,u){for(var l=this,c=[],p=function(){var p=e.pop();n.currentContext=p.contexts;var f="";if("Enter"===p.node.op&&hy("isConstant",p.node,r,n)&&(f=dy(p.node.name,n)[0]),-1===t.indexOf(p.node)){var d=cb(p.node,r,n);f||(f=dy(p.node.name,n)[0]);var m=n.currentContext;d instanceof Promise?c.push(d.then(function(t){return r[f]=t,n.currentContext=m,l.checkTensorForDisposal(f,p.node,r,n,i,o,s),l.processChildNodes(p.node,e,n,r,a,u),t})):(r[f]=d,h.checkTensorForDisposal(f,p.node,r,n,i,o,s),h.processChildNodes(p.node,e,n,r,a,u))}else h.processChildNodes(p.node,e,n,r,a,u)},h=this;e.length>0;)p();return c},t.prototype.processChildNodes=function(t,e,n,r,a,i){t.children.forEach(function(t){var o=dy(t.name,n)[0];!a[o]&&i.has(t.name)&&("Merge"===t.op?t.inputNames.some(function(t){return!!fy(t,r,n)})&&(a[o]=!0,e.push({contexts:n.currentContext,node:t})):t.inputNames.every(function(t){return!!fy(t,r,n)})&&(a[o]=!0,e.push({contexts:n.currentContext,node:t})))})},t.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(t){return t.dispose()})})},t.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(n){var r=t[n],a=e.graph.nodes[n];if(a.attrParams.shape&&a.attrParams.shape.value){var i=a.attrParams.shape.value,o=i.length===r.shape.length&&r.shape.every(function(t,e){return-1===i[e]||i[e]===t});Q.assert(o,function(){return"The shape of dict['"+a.name+"'] provided in model.execute(dict) must be ["+i+"], but was ["+r.shape+"]"})}a.attrParams.dtype&&a.attrParams.dtype.value&&Q.assert(r.dtype===a.attrParams.dtype.value,function(){return"The dtype of dict['"+a.name+"'] provided in model.execute(dict) must be "+a.attrParams.dtype.value+", but was "+r.dtype})})},t.prototype.checkInputs=function(t){var e=this,n=Object.keys(t).filter(function(t){return!e.graph.nodes[t]});if(n.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+n+"] that are not part of graph")},t.prototype.checkOutputs=function(t){var e=this;t.forEach(function(t){var n=gy(t)[0];if(!e.graph.nodes[n])throw new Error("The output '"+t+"' is not found in the graph")})},t}(),yb="?tfjs-format=file",bb="model.json",xb=function(){function t(t,e){void 0===e&&(e={}),this.modelUrl=t,this.loadOptions=e,this.version="n/a",null==e&&(this.loadOptions={})}return Object.defineProperty(t.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),t.prototype.findIOHandler=function(){var t=this.modelUrl;if(null!=t.load)this.handler=t;else if(null!=this.loadOptions.requestInit)this.handler=Bp.browserHTTPRequest(t,this.loadOptions);else{var e=Bp.getLoadHandlers(t,this.loadOptions.onProgress);if(0===e.length)e.push(Bp.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error("Found more than one ("+e.length+") load handlers for URL '"+[t]+"'");this.handler=e[0]}},t.prototype.load=function(){return uy(this,void 0,void 0,function(){var t,e,n;return ly(this,function(r){switch(r.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return t=r.sent(),e=t.modelTopology,this.version=e.versions.producer+"."+e.versions.minConsumer,n=Bp.decodeWeights(t.weightData,t.weightSpecs),this.executor=new vb(Fy.Instance.transformGraph(e)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),[2,!0]}})})},t.prototype.predict=function(t,e){return this.execute(t,this.outputNodes)},t.prototype.normalizeInputs=function(t){if(!(t instanceof ht||Array.isArray(t)))return t;if((t=Array.isArray(t)?t:[t]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+t.length+" input tensors.");return this.inputNodes.reduce(function(e,n,r){return e[n]=t[r],e},{})},t.prototype.normalizeOutputs=function(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]},t.prototype.execute=function(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);var n=this.executor.execute(t,e);return n.length>1?n:n[0]},t.prototype.executeAsync=function(t,e){return uy(this,void 0,void 0,function(){var n;return ly(this,function(r){switch(r.label){case 0:return t=this.normalizeInputs(t),e=this.normalizeOutputs(e),[4,this.executor.executeAsync(t,e)];case 1:return[2,(n=r.sent()).length>1?n:n[0]]}})})},t.prototype.convertTensorMapToTensorsMap=function(t){return Object.keys(t).reduce(function(e,n){return e[n]=[t[n]],e},{})},t.prototype.dispose=function(){this.executor.dispose()},t}();var wb=function(t,e){return(wb=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function Cb(t,e){function n(){this.constructor=t}wb(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}function Nb(t,e,n,r){return new(n||(n=Promise))(function(a,i){function o(t){try{u(r.next(t))}catch(t){i(t)}}function s(t){try{u(r.throw(t))}catch(t){i(t)}}function u(t){t.done?a(t.value):new n(function(e){e(t.value)}).then(o,s)}u((r=r.apply(t,e||[])).next())})}function Sb(t,e){var n,r,a,i,o={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(a=2&i[0]?r.return:i[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,i[1])).done)return a;switch(r=0,a&&(i=[2&i[0],a.value]),i[0]){case 0:case 1:a=i;break;case 4:return o.label++,{value:i[1],done:!1};case 5:o.label++,r=i[1],i=[0];continue;case 7:i=o.ops.pop(),o.trys.pop();continue;default:if(!(a=(a=o.trys).length>0&&a[a.length-1])&&(6===i[0]||2===i[0])){o=0;continue}if(3===i[0]&&(!a||i[1]>a[0]&&i[1]<a[3])){o.label=i[1];break}if(6===i[0]&&o.label<a[1]){o.label=a[1],a=i;break}if(a&&o.label<a[2]){o.label=a[2],o.ops.push(i);break}a[2]&&o.ops.pop(),o.trys.pop();continue}i=e.call(t,o)}catch(t){i=[6,t],r=0}finally{n=a=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}function Ib(t,e){return t(e={exports:{}},e.exports),e.exports}var kb=Ib(function(t){!function(t,e,n){function r(t,e){return e.c=t.c,e.s0=t.s0,e.s1=t.s1,e.s2=t.s2,e}function a(t,e){var n=new function(t){var e,n=this,r=(e=4022871197,function(t){t=t.toString();for(var n=0;n<t.length;n++){var r=.02519603282416938*(e+=t.charCodeAt(n));r-=e=r>>>0,e=(r*=e)>>>0,e+=4294967296*(r-=e)}return 2.3283064365386963e-10*(e>>>0)});n.next=function(){var t=2091639*n.s0+2.3283064365386963e-10*n.c;return n.s0=n.s1,n.s1=n.s2,n.s2=t-(n.c=0|t)},n.c=1,n.s0=r(" "),n.s1=r(" "),n.s2=r(" "),n.s0-=r(t),n.s0<0&&(n.s0+=1),n.s1-=r(t),n.s1<0&&(n.s1+=1),n.s2-=r(t),n.s2<0&&(n.s2+=1),r=null}(t),a=e&&e.state,i=n.next;return i.int32=function(){return 4294967296*n.next()|0},i.double=function(){return i()+1.1102230246251565e-16*(2097152*i()|0)},i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.alea=a}(0,t)}),Eb=Ib(function(t){!function(t,e,n){function r(t,e){return e.x=t.x,e.y=t.y,e.z=t.z,e.w=t.w,e}function a(t,e){var n=new function(t){var e=this,n="";e.x=0,e.y=0,e.z=0,e.w=0,e.next=function(){var t=e.x^e.x<<11;return e.x=e.y,e.y=e.z,e.z=e.w,e.w^=e.w>>>19^t^t>>>8},t===(0|t)?e.x=t:n+=t;for(var r=0;r<n.length+64;r++)e.x^=0|n.charCodeAt(r),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xor128=a}(0,t)}),Ab=Ib(function(t){!function(t,e,n){function r(t,e){return e.x=t.x,e.y=t.y,e.z=t.z,e.w=t.w,e.v=t.v,e.d=t.d,e}function a(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.x^e.x>>>2;return e.x=e.y,e.y=e.z,e.z=e.w,e.w=e.v,(e.d=e.d+362437|0)+(e.v=e.v^e.v<<4^t^t<<1)|0},e.x=0,e.y=0,e.z=0,e.w=0,e.v=0,t===(0|t)?e.x=t:n+=t;for(var r=0;r<n.length+64;r++)e.x^=0|n.charCodeAt(r),r==n.length&&(e.d=e.x<<10^e.x>>>4),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xorwow=a}(0,t)}),Rb=Ib(function(t){!function(t,e,n){function r(t,e){return e.x=t.x.slice(),e.i=t.i,e}function a(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.x,a=e.i;return t=r[a],n=(t^=t>>>7)^t<<24,n^=(t=r[a+1&7])^t>>>10,n^=(t=r[a+3&7])^t>>>3,n^=(t=r[a+4&7])^t<<7,t=r[a+7&7],n^=(t^=t<<13)^t<<9,r[a]=n,e.i=a+1&7,n},function(t,e){var n,r=[];if(e===(0|e))r[0]=e;else for(e=""+e,n=0;n<e.length;++n)r[7&n]=r[7&n]<<15^e.charCodeAt(n)+r[n+1&7]<<13;for(;r.length<8;)r.push(0);for(n=0;n<8&&0===r[n];++n);for(8==n?r[7]=-1:r[n],t.x=r,t.i=0,n=256;n>0;--n)t.next()}(e,t)}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&(a.x&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xorshift7=a}(0,t)}),Tb=Ib(function(t){!function(t,e,n){function r(t,e){return e.i=t.i,e.w=t.w,e.X=t.X.slice(),e}function a(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.w,a=e.X,i=e.i;return e.w=r=r+1640531527|0,n=a[i+34&127],t=a[i=i+1&127],n^=n<<13,t^=t<<17,n^=n>>>15,t^=t>>>12,n=a[i]=n^t,e.i=i,n+(r^r>>>16)|0},function(t,e){var n,r,a,i,o,s=[],u=128;for(e===(0|e)?(r=e,e=null):(e+="\0",r=0,u=Math.max(u,e.length)),a=0,i=-32;i<u;++i)e&&(r^=e.charCodeAt((i+32)%e.length)),0===i&&(o=r),r^=r<<10,r^=r>>>15,r^=r<<4,r^=r>>>13,i>=0&&(o=o+1640531527|0,a=0==(n=s[127&i]^=r+o)?a+1:0);for(a>=128&&(s[127&(e&&e.length||0)]=-1),a=127,i=512;i>0;--i)r=s[a+34&127],n=s[a=a+1&127],r^=r<<13,n^=n<<17,r^=r>>>15,n^=n>>>12,s[a]=r^n;t.w=o,t.X=s,t.i=a}(e,t)}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&(a.X&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.xor4096=a}(0,t)}),Db=Ib(function(t){!function(t,e,n){function r(t,e){return e.a=t.a,e.b=t.b,e.c=t.c,e.d=t.d,e}function a(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.b,n=e.c,r=e.d,a=e.a;return t=t<<25^t>>>7^n,n=n-r|0,r=r<<24^r>>>8^a,a=a-t|0,e.b=t=t<<20^t>>>12^n,e.c=n=n-r|0,e.d=r<<16^n>>>16^a,e.a=a-t|0},e.a=0,e.b=0,e.c=-1640531527,e.d=1367130551,t===Math.floor(t)?(e.a=t/4294967296|0,e.b=0|t):n+=t;for(var r=0;r<n.length+20;r++)e.b^=0|n.charCodeAt(r),e.next()}(t),a=e&&e.state,i=function(){return(n.next()>>>0)/4294967296};return i.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},i.int32=n.next,i.quick=i,a&&("object"==typeof a&&r(a,n),i.state=function(){return r(n,{})}),i}e&&e.exports?e.exports=a:this.tychei=a}(0,t)}),Ob=Ib(function(t){!function(e,n){var r,a=this,i=256,o=6,s="random",u=n.pow(i,o),l=n.pow(2,52),c=2*l,p=i-1;function h(t,h,g){var v=[],y=d(function t(e,n){var r,a=[],i=typeof e;if(n&&"object"==i)for(r in e)try{a.push(t(e[r],n-1))}catch(t){}return a.length?a:"string"==i?e:e+"\0"}((h=1==h?{entropy:!0}:h||{}).entropy?[t,m(e)]:null==t?function(){try{var t;return r&&(t=r.randomBytes)?t=t(i):(t=new Uint8Array(i),(a.crypto||a.msCrypto).getRandomValues(t)),m(t)}catch(t){var n=a.navigator,o=n&&n.plugins;return[+new Date,a,o,a.screen,m(e)]}}():t,3),v),b=new function(t){var e,n=t.length,r=this,a=0,o=r.i=r.j=0,s=r.S=[];for(n||(t=[n++]);a<i;)s[a]=a++;for(a=0;a<i;a++)s[a]=s[o=p&o+t[a%n]+(e=s[a])],s[o]=e;(r.g=function(t){for(var e,n=0,a=r.i,o=r.j,s=r.S;t--;)e=s[a=p&a+1],n=n*i+s[p&(s[a]=s[o=p&o+e])+(s[o]=e)];return r.i=a,r.j=o,n})(i)}(v),x=function(){for(var t=b.g(o),e=u,n=0;t<l;)t=(t+n)*i,e*=i,n=b.g(1);for(;t>=c;)t/=2,e/=2,n>>>=1;return(t+n)/e};return x.int32=function(){return 0|b.g(4)},x.quick=function(){return b.g(4)/4294967296},x.double=x,d(m(b.S),e),(h.pass||g||function(t,e,r,a){return a&&(a.S&&f(a,b),t.state=function(){return f(b,{})}),r?(n[s]=t,e):t})(x,y,"global"in h?h.global:this==n,h.state)}function f(t,e){return e.i=t.i,e.j=t.j,e.S=t.S.slice(),e}function d(t,e){for(var n,r=t+"",a=0;a<r.length;)e[p&a]=p&(n^=19*e[p&a])+r.charCodeAt(a++);return m(e)}function m(t){return String.fromCharCode.apply(0,t)}if(n["seed"+s]=h,d(n.random(),e),t.exports){t.exports=h;try{r=require("crypto")}catch(t){}}}([],Math)});Ob.alea=kb,Ob.xor128=Eb,Ob.xorwow=Ab,Ob.xorshift7=Rb,Ob.xor4096=Tb,Ob.tychei=Db;var _b=Ob.alea;function Fb(t,e,n,r){if(void 0===n&&(n=new Map),void 0===r&&(r=new Set),null==t)return null;if(r.has(t))throw new Error("Circular references are not supported.");if(n.has(t))return n.get(t);var a=e(t);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(Bb(t)){var i=Array.isArray(t)?[]:{};for(var o in r.add(t),t){var s=Fb(t[o],e,n,r);i[o]=s}return r.delete(t),i}throw new Error("Can't recurse into non-iterable type: "+t)}return n.set(t,a.value),a.value}function Mb(t,e){return void 0===e&&(e=zb),function t(e,n,r){void 0===r&&(r=new Set);var a=e[0];if(r.has(a))throw new Error("Circular references are not supported.");var i=n(e);if(i.recurse&&null!==i.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(i.recurse){if(Bb(a)){var o=Array.isArray(a)?[]:{};r.add(a);var s=function(a){var i=t(e.map(function(t){return t[a]}),n,r);o[a]=i};for(var u in a)s(u);return r.delete(a),o}throw new Error("Can't recurse into non-iterable type: "+a)}return i.value}(t,e)}function zb(t){return null===t?null:Bb(t[0])?{value:null,recurse:!0}:{value:t,recurse:!1}}function Lb(t,e){return Nb(this,void 0,void 0,function(){var n,r,a,i,o,s;return Sb(this,function(u){switch(u.label){case 0:n=new Map,Fb(t,e,n),r=0,a=Array.from(n.keys()),u.label=1;case 1:return r<a.length?(i=a[r],(o=n.get(i))instanceof Promise?[4,o]:[3,3]):[3,4];case 2:s=u.sent(),n.set(i,s),u.label=3;case 3:return r++,[3,1];case 4:return[2,Fb(t,e,n)]}})})}function Bb(t){return null!=t&&!ArrayBuffer.isView(t)&&(Array.isArray(t)||"object"==typeof t&&!(t instanceof ht))}function Pb(t){return function(t,e){return Fb(t,e)}(t,Wb)}function Wb(t){return t instanceof ht?{value:t.clone(),recurse:!1}:Bb(t)?{value:null,recurse:!0}:{value:t,recurse:!1}}var Vb=function(){function t(t){if(this.capacity=t,this.begin=0,this.end=0,null==t)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}return t.prototype.wrap=function(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity},t.prototype.get=function(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]},t.prototype.set=function(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e},t.prototype.length=function(){var t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t},t.prototype.isFull=function(){return this.length()===this.capacity},t.prototype.isEmpty=function(){return 0===this.length()},t.prototype.push=function(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)},t.prototype.pushAll=function(t){for(var e=0,n=t;e<n.length;e++){var r=n[e];this.push(r)}},t.prototype.pop=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var t=this.get(this.end);return this.set(this.end,void 0),t},t.prototype.unshift=function(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)},t.prototype.shift=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t},t.prototype.shuffleExcise=function(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.wrap(this.begin+t),n=this.get(e);return this.set(e,this.pop()),n},t}(),Ub=function(t){function e(){return t.call(this,e.INITIAL_CAPACITY)||this}return Cb(e,t),e.prototype.isFull=function(){return!1},e.prototype.push=function(e){t.prototype.isFull.call(this)&&this.expand(),t.prototype.push.call(this,e)},e.prototype.unshift=function(e){t.prototype.isFull.call(this)&&this.expand(),t.prototype.unshift.call(this,e)},e.prototype.expand=function(){for(var t=2*this.capacity,e=new Array(t),n=this.length(),r=0;r<n;r++)e[r]=this.get(this.wrap(this.begin+r));this.data=e,this.capacity=t,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=n},e.INITIAL_CAPACITY=32,e}(Vb);function jb(t){return new Kb(t)}function Gb(t){return new Xb(t)}var qb,Hb=function(){function t(){}return t.prototype.toArray=function(){return Nb(this,void 0,void 0,function(){var t,e;return Sb(this,function(n){switch(n.label){case 0:return t=[],[4,this.next()];case 1:e=n.sent(),n.label=2;case 2:return e.done?[3,4]:(t.push(e.value),[4,this.next()]);case 3:return e=n.sent(),[3,2];case 4:return[2,t]}})})},t.prototype.toArrayForTest=function(){return Nb(this,void 0,void 0,function(){var t,e,n;return Sb(this,function(r){switch(r.label){case 0:return t=this.prefetch(100),e=[],[4,t.next()];case 1:n=r.sent(),r.label=2;case 2:return n.done?[3,4]:(e.push(n.value),[4,t.next()]);case 3:return n=r.sent(),[3,2];case 4:return[2,e]}})})},t.prototype.resolveFully=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:t=e.sent(),e.label=2;case 2:return t.done?[3,4]:[4,this.next()];case 3:return t=e.sent(),[3,2];case 4:return[2]}})})},t.prototype.resolveWhile=function(t){return Nb(this,void 0,void 0,function(){var e,n;return Sb(this,function(r){switch(r.label){case 0:return[4,this.next()];case 1:e=r.sent(),n=t(e.value),r.label=2;case 2:return e.done||!n?[3,4]:[4,this.next()];case 3:return e=r.sent(),n=t(e.value),[3,2];case 4:return[2]}})})},t.prototype.handleErrors=function(t){return new ex(this,t)},t.prototype.filter=function(t){return new Qb(this,t)},t.prototype.map=function(t){return new tx(this,t)},t.prototype.mapAsync=function(t){return new nx(this,t)},t.prototype.serialMapAsync=function(t){return new nx(this,t).serial()},t.prototype.flatmap=function(t){return new ax(this,t)},t.prototype.forEachAsync=function(t){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){return[2,this.map(t).resolveFully()]})})},t.prototype.serialForEach=function(t){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){return[2,this.serialMapAsync(t).resolveWhile(function(t){return!0===t})]})})},t.prototype.rowMajorBatch=function(t,e){return void 0===e&&(e=!0),new Zb(this,t,e)},t.prototype.columnMajorBatch=function(t,e,n){return void 0===e&&(e=!0),void 0===n&&(n=zb),this.rowMajorBatch(t,e).map(function(t){return Mb(t,n)})},t.prototype.concatenate=function(t,e){return new ix(jb([this,t]),e)},t.prototype.take=function(t){return t<0||null==t?this:new Jb(this,t)},t.prototype.skip=function(t){return t<0||null==t?this:new Yb(this,t)},t.prototype.prefetch=function(t){return new sx(this,t)},t.prototype.shuffle=function(t,e){return new ux(this,t,e)},t.prototype.serial=function(){return new $b(this)},t}(),Kb=function(t){function e(e){var n=t.call(this)||this;return n.items=e,n.trav=0,n}return Cb(e,t),e.prototype.summary=function(){return"Array of "+this.items.length+" items"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){return this.trav>=this.items.length?[2,{value:null,done:!0}]:(t=this.items[this.trav],this.trav++,[2,{value:Pb(t),done:!1}])})})},e}(Hb),Xb=function(t){function e(e){var n=t.call(this)||this;return n.nextFn=e,n}return Cb(e,t),e.prototype.summary=function(){return"Function call"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){try{return[2,this.nextFn()]}catch(t){throw t.message="Error thrown while iterating through a dataset: "+t.message,t}return[2]})})},e}(Hb),$b=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.lastRead=Promise.resolve({value:null,done:!1}),n}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Serial"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return[2,this.upstream.next()]})})},e}(Hb),Yb=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.maxCount=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Skip"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:return this.count++<this.maxCount?[4,this.upstream.next()]:[3,2];case 1:return(t=e.sent()).done?[2,t]:(Pe(t.value),[3,0]);case 2:return[2,this.upstream.next()]}})})},e}(Hb),Jb=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.maxCount=n,r.count=0,r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Take"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return this.count++>=this.maxCount?[2,{value:null,done:!0}]:[2,this.upstream.next()]})})},e}(Hb),Zb=function(t){function e(e,n,r){void 0===r&&(r=!0);var a=t.call(this)||this;return a.upstream=e,a.batchSize=n,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){var t,e;return Sb(this,function(n){switch(n.label){case 0:t=[],n.label=1;case 1:return t.length<this.batchSize?[4,this.upstream.next()]:[3,3];case 2:return(e=n.sent()).done?this.enableSmallLastBatch&&t.length>0?[2,{value:t,done:!1}]:[2,{value:null,done:!0}]:(t.push(e.value),[3,1]);case 3:return[2,{value:t,done:!1}]}})})},e}(Hb),Qb=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.predicate=n,r.lastRead=Promise.resolve({value:null,done:!1}),r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Filter"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:return[4,this.upstream.next()];case 1:return(t=e.sent()).done||this.predicate(t.value)?[2,t]:(Pe(t.value),[3,0]);case 2:return[2]}})})},e}(Hb),tx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Map"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a,i,o;return Sb(this,function(s){switch(s.label){case 0:return[4,this.upstream.next()];case 1:if((t=s.sent()).done)return[2,{value:null,done:!0}];for(e=It.getTensorsInContainer(t.value),n=this.transform(t.value),r=It.getTensorsInContainer(n),a=0,i=e;a<i.length;a++)o=i[a],It.isTensorInList(o,r)||o.dispose();return[2,{value:n,done:!1}]}})})},e}(Hb),ex=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.handler=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> handleErrors"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:e.label=1;case 1:return e.trys.push([1,3,,4]),[4,this.upstream.next()];case 2:return[2,e.sent()];case 3:return t=e.sent(),this.handler(t)?[3,4]:[2,{value:null,done:!0}];case 4:return[3,0];case 5:return[2]}})})},e}(Hb),nx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a,i,o;return Sb(this,function(s){switch(s.label){case 0:return[4,this.upstream.next()];case 1:return(t=s.sent()).done?[2,{value:null,done:!0}]:(e=It.getTensorsInContainer(t.value),[4,this.transform(t.value)]);case 2:for(n=s.sent(),r=It.getTensorsInContainer(n),a=0,i=e;a<i.length;a++)o=i[a],It.isTensorInList(o,r)||o.dispose();return[2,{value:n,done:!1}]}})})},e}(Hb),rx=function(t){function e(){var e=t.call(this)||this;return e.outputQueue=new Ub,e.lastRead=Promise.resolve({value:null,done:!1}),e}return Cb(e,t),e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:return 0!==this.outputQueue.length()?[3,2]:[4,this.pump()];case 1:return t.sent()?[3,0]:[2,{value:null,done:!0}];case 2:return[2,{value:this.outputQueue.shift(),done:!1}]}})})},e}(Hb),ax=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},e.prototype.pump=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a,i,o;return Sb(this,function(s){switch(s.label){case 0:return[4,this.upstream.next()];case 1:if((t=s.sent()).done)return[2,!1];for(e=It.getTensorsInContainer(t.value),n=this.transform(t.value),r=It.getTensorsInContainer(n),this.outputQueue.pushAll(n),a=0,i=e;a<i.length;a++)o=i[a],It.isTensorInList(o,r)||o.dispose();return[2,!0]}})})},e}(rx),ix=function(t){function e(e,n){var r=t.call(this)||this;return r.baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=e,r}return Cb(e,t),e.prototype.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]})})},e.prototype.readFromChain=function(t){return Nb(this,void 0,void 0,function(){var e,n;return Sb(this,function(r){switch(r.label){case 0:return[4,t];case 1:return r.sent(),null!=this.iterator?[3,3]:[4,this.moreIterators.next()];case 2:if((e=r.sent()).done)return[2,{value:null,done:!0}];this.iterator=e.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),r.label=3;case 3:return[4,this.iterator.next()];case 4:return(n=r.sent()).done?(this.iterator=null,[2,this.readFromChain(t)]):[2,n]}})})},e}(Hb);!function(t){t[t.FAIL=0]="FAIL",t[t.SHORTEST=1]="SHORTEST",t[t.LONGEST=2]="LONGEST"}(qb||(qb={}));var ox=function(t){function e(e,n){void 0===n&&(n=qb.FAIL);var r=t.call(this)||this;return r.iterators=e,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}return Cb(e,t),e.prototype.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},e.prototype.nextState=function(t){return Nb(this,void 0,void 0,function(){function e(t){return t instanceof Hb?{value:t.next().then(function(t){return n++,t.done&&r++,t.value}),recurse:!1}:{value:null,recurse:!0}}var n,r,a;return Sb(this,function(i){switch(i.label){case 0:return[4,t];case 1:return i.sent(),n=0,r=0,[4,Lb(this.iterators,e)];case 2:if(a=i.sent(),n===r)return[2,{value:null,done:!0}];if(r>0)switch(this.mismatchMode){case qb.FAIL:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case qb.SHORTEST:return[2,{value:null,done:!0}];case qb.LONGEST:}return this.count++,[2,{value:a,done:!1}]}})})},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]})})},e}(Hb),sx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.bufferSize=n,r.buffer=new Vb(n),r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},e.prototype.refill=function(){for(;!this.buffer.isFull();){var t=this.upstream.next();this.buffer.push(t)}},e.prototype.next=function(){return this.refill(),this.buffer.shift()},e}(Hb),ux=function(t){function e(e,n,r){var a=t.call(this,e,n)||this;return a.upstream=e,a.windowSize=n,a.upstreamExhausted=!1,a.random=_b(r||Q.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return Cb(e,t),e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t=this;return Sb(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.randomInt=function(t){return Math.floor(this.random()*t)},e.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},e.prototype.serialNext=function(){return Nb(this,void 0,void 0,function(){var t,e;return Sb(this,function(n){switch(n.label){case 0:this.upstreamExhausted||this.refill(),n.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(t=this.chooseIndex(),[4,this.buffer.shuffleExcise(t)]);case 2:return(e=n.sent()).done?(this.upstreamExhausted=!0,[3,1]):(this.refill(),[2,e]);case 3:return[2,{value:null,done:!0}]}})})},e}(sx),lx=function(){function t(){this.size=null}return t.prototype.batch=function(t,e){var n=this;void 0===e&&(e=!0);var r=this;return Q.assert(t>0,function(){return"batchSize needs to be positive, but it is\n      "+t}),cx(function(){return Nb(n,void 0,void 0,function(){return Sb(this,function(n){switch(n.label){case 0:return[4,r.iterator()];case 1:return[2,n.sent().columnMajorBatch(t,e,px)]}})})},this.size===1/0||null==this.size?this.size:e?Math.ceil(this.size/t):Math.floor(this.size/t))},t.prototype.concatenate=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){var e,r;return Sb(this,function(a){switch(a.label){case 0:return[4,n.iterator()];case 1:return r=(e=a.sent()).concatenate,[4,t.iterator()];case 2:return[2,r.apply(e,[a.sent()])]}})})},this.size===1/0||t.size===1/0?1/0:null!=this.size&&null!=t.size?this.size+t.size:null)},t.prototype.filter=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().filter(function(e){return Be(function(){return t(e)})})]}})})},this.size===1/0?1/0:null)},t.prototype.forEachAsync=function(t){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,this.iterator()];case 1:return[2,e.sent().forEachAsync(t)]}})})},t.prototype.forEach=function(t){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){return ze("dataset.forEach() is deprecated and will be removed. Please use dataset.forEachAsync() instead"),[2,this.forEachAsync(t)]})})},t.prototype.map=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().map(function(e){return Be(function(){return t(e)})})]}})})},this.size)},t.prototype.mapAsync=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().mapAsync(t)]}})})},this.size)},t.prototype.prefetch=function(t){var e=this;if(null==t)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().prefetch(t)]}})})},this.size)},t.prototype.repeat=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){var e=this;return Sb(this,function(r){return[2,function(t,e){return new ix(t,e)}(Gb(function(){return Nb(e,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:return t={},[4,n.iterator()];case 1:return[2,(t.value=e.sent(),t.done=!1,t)]}})})}).take(t))]})})},null!=this.size&&t>0?this.size*t:0===t?0:null!=this.size&&(void 0===t||t<0)?1/0:null)},t.prototype.skip=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().skip(t)]}})})},null!=this.size&&t>=0&&this.size>=t?this.size-t:null!=this.size&&(this.size<t||void 0===t||t<0)?0:null)},t.prototype.shuffle=function(t,e,n){var r=this;if(void 0===n&&(n=!0),null==t||t<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError("`Dataset.shuffle()` requires bufferSize to be specified.  If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting bufferSize to the dataset size ("+this.size+" elements)");var a=this,i=_b(e||Q.now().toString());return cx(function(){return Nb(r,void 0,void 0,function(){var e;return Sb(this,function(r){switch(r.label){case 0:return e=i.int32(),n&&(e+=i.int32()),[4,a.iterator()];case 1:return[2,r.sent().shuffle(t,e.toString())]}})})},this.size)},t.prototype.take=function(t){var e=this,n=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().take(t)]}})})},null!=this.size&&this.size>t?t:null!=this.size&&this.size<=t?this.size:null)},t.prototype.toArray=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArray()]}})})},t.prototype.toArrayForTest=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArrayForTest()]}})})},t.MAX_BUFFER_SIZE=1e4,t}();function cx(t,e){return void 0===e&&(e=null),new(function(n){function r(){var t=null!==n&&n.apply(this,arguments)||this;return t.size=e,t}return Cb(r,n),r.prototype.iterator=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){return[2,t()]})})},r}(lx))}function px(t){return null===t?null:function(t){return null==t||function(t){return null===t||"object"!=typeof t&&"function"!=typeof t}(t)||Array.isArray(t)||"object"==typeof t&&t instanceof ht||Q.isTypedArray(t)}(t[0])?{value:function(t){if(0===t.length)throw new Error("Can't make a batch of zero elements.");return t[0]instanceof ht?hr(t):un(t)}(t),recurse:!1}:{value:null,recurse:!0}}var hx=function(t){function e(e){var n=t.call(this)||this;return n.input=e,n}return Cb(e,t),e.prototype.iterator=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){switch(e.label){case 0:return[4,this.input.iterator()];case 1:return t=e.sent(),[2,t.decodeUTF8().split("\n").map(function(t){return t.endsWith("\r")&&(t=t.slice(0,-1)),t})]}})})},e}(lx),fx=Symbol("out"),dx=Symbol("field"),mx=Symbol("quote"),gx=Symbol("quoteafterquote"),vx=Symbol("quoteinquote"),yx=function(t){function e(e,n){var r=t.call(this)||this;return r.input=e,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new hx(e),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(Q.assert(null==n.delimiter,function(){return"Delimiter should not be provided when delimWhitespace is true."}),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=n.delimiter?n.delimiter:",",r}return Cb(e,t),e.prototype.columnNames=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:t.sent(),t.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},e.prototype.setColumnNames=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a,i,o=this;return Sb(this,function(s){switch(s.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(t=s.sent(),!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&t&&Q.assert(t.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+o.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=t),e=this.fullColumnNames.reduce(function(t,e){return t[e]=t[e]+1||1,t},{}),n=Object.keys(e).filter(function(t){return e[t]>1}),Q.assert(0===n.length,function(){return"Duplicate column names found: "+n.toString()}),this.columnConfigs)for(r=0,a=Object.keys(this.columnConfigs);r<a.length;r++)if(i=a[r],-1===this.fullColumnNames.indexOf(i))throw new Error('The key "'+i+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}})})},e.prototype.maybeReadHeaderLine=function(){return Nb(this,void 0,void 0,function(){var t,e;return Sb(this,function(n){switch(n.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return[4,n.sent().next()];case 2:if((t=n.sent()).done)throw new Error("No data was found for CSV parsing.");return e=t.value,[2,this.parseRow(e,!1)];case 3:return[2,null]}})})},e.prototype.iterator=function(){return Nb(this,void 0,void 0,function(){var t,e=this;return Sb(this,function(n){switch(n.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:n.sent(),n.label=2;case 2:return[4,this.base.iterator()];case 3:return t=n.sent(),this.hasHeader&&(t=t.skip(1)),[2,t.map(function(t){return e.makeDataElement(t)})]}})})},e.prototype.makeDataElement=function(t){for(var e=this.parseRow(t),n={},r={},a=0;a<this.fullColumnNames.length;a++){var i=this.fullColumnNames[a],o=this.columnConfigs?this.columnConfigs[i]:null;if(!this.configuredColumnsOnly||o){var s=e[a],u=null;if(""===s)if(o&&void 0!==o.default)u=o.default;else{if(o&&(o.required||o.isLabel))throw new Error("Required column "+i+" is empty in this line: "+t);u=void 0}else{var l=Number(s);if(isNaN(l))u=o&&"bool"===o.dtype?this.getBoolean(s):s;else if(o&&o.dtype)switch(o.dtype){case"float32":u=l;break;case"int32":u=Math.floor(l);break;case"bool":u=this.getBoolean(s);break;default:u=l}else u=l}o&&o.isLabel?r[i]=u:n[i]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},e.prototype.getBoolean=function(t){return"1"===t||"true"===t.toLowerCase()?1:0},e.prototype.parseRow=function(t,e){void 0===e&&(e=!0);for(var n=[],r=0,a=t.length,i=fx,o=0;o<a;o++)switch(i){case fx:switch(t.charAt(o)){case'"':r=o+1,i=mx;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),i=fx;break;default:i=dx,r=o}break;case dx:switch(t.charAt(o)){case this.delimiter:n.push(t.substring(r,o)),i=fx,r=o+1}break;case mx:switch(t.charAt(o)){case'"':i=gx}break;case gx:switch(t.charAt(o)){case this.delimiter:n.push(t.substring(r,o-1)),i=fx,r=o+1;break;case'"':i=mx;break;default:i=vx}break;case vx:switch(t.charAt(o)){case'"':i=mx}}if(i===gx?n.push(t.substring(r,a-1)):n.push(t.substring(r)),e&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+n);return n},e}(lx),bx=function(t){function e(e){var n=t.call(this)||this;n.microphoneConfig=e,n.isClosed=!1,n.fftSize=e.fftSize||1024;var r=Math.log2(n.fftSize);if(n.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got "+n.fftSize);if(n.numFrames=e.numFramesPerSpectrogram||43,n.sampleRateHz=e.sampleRateHz,n.columnTruncateLength=e.columnTruncateLength||n.fftSize,n.audioTrackConstraints=e.audioTrackConstraints,n.smoothingTimeConstant=e.smoothingTimeConstant||0,n.includeSpectrogram=!1!==e.includeSpectrogram,n.includeWaveform=!0===e.includeWaveform,!n.includeSpectrogram&&!n.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return n}return Cb(e,t),e.prototype.summary=function(){return"microphone"},e.create=function(t){return void 0===t&&(t={}),Nb(this,void 0,void 0,function(){var n;return Sb(this,function(r){switch(r.label){case 0:if(o().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return[4,(n=new e(t)).start()];case 1:return r.sent(),[2,n]}})})},e.prototype.start=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r;return Sb(this,function(a){switch(a.label){case 0:return a.trys.push([0,2,,3]),t=this,[4,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})];case 1:return t.stream=a.sent(),[3,3];case 2:throw e=a.sent(),new Error("Error thrown while initializing video stream: "+e.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(n=window.AudioContext||window.webkitAudioContext,this.audioContext=new n,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate)}else this.sampleRateHz=this.audioContext.sampleRate;return r=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,r.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a;return Sb(this,function(i){switch(i.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return n=i.sent(),this.includeSpectrogram&&(r=this.flattenQueue(n.freqDataQueue),t=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(a=this.flattenQueue(n.timeDataQueue),e=this.getTensorFromAudioDataArray(a,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:t,waveform:e},done:!1}]}})})},e.prototype.capture=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},e.prototype.getAudioData=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r=this;return Sb(this,function(a){return t=[],e=[],n=0,[2,new Promise(function(a){var i=setInterval(function(){r.includeSpectrogram&&(r.analyser.getFloatFrequencyData(r.freqData),r.freqData[0]===-1/0&&a({freqDataQueue:t,timeDataQueue:e}),t.push(r.freqData.slice(0,r.columnTruncateLength))),r.includeWaveform&&(r.analyser.getFloatTimeDomainData(r.timeData),e.push(r.timeData.slice())),++n===r.numFrames&&(clearInterval(i),a({freqDataQueue:t,timeDataQueue:e}))},r.fftSize/r.sampleRateHz*1e3)})]})})},e.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},e.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},e.prototype.getSampleRate=function(){return this.sampleRateHz},e.prototype.flattenQueue=function(t){var e=t[0].length,n=new Float32Array(t.length*e);return t.forEach(function(t,r){return n.set(t,r*e)}),n},e.prototype.getTensorFromAudioDataArray=function(t,e){var n=new Float32Array(Q.sizeFromShape(e));return n.set(t,n.length-t.length),un(n,e)},e}(Hb),xx=function(t){function e(e,n){var r=t.call(this)||this;if(r.webcamVideoElement=e,r.webcamConfig=n,r.isClosed=!0,r.resize=!1,r.needToResize())if(r.resize=!0,r.cropSize=[r.webcamConfig.resizeHeight,r.webcamConfig.resizeWidth],r.cropBoxInd=pn([0],"int32"),r.webcamConfig.centerCrop){var a=1*r.webcamConfig.resizeWidth/r.webcamVideoElement.width,i=1*r.webcamConfig.resizeHeight/r.webcamVideoElement.height,o=(1-a)/2,s=(1-i)/2,u=o+a,l=i+s;r.cropBox=hn([s,o,l,u],[1,4])}else r.cropBox=hn([0,0,1,1],[1,4]);return r}return Cb(e,t),e.prototype.summary=function(){return"webcam"},e.create=function(t,n){return void 0===n&&(n={}),Nb(this,void 0,void 0,function(){var r;return Sb(this,function(a){switch(a.label){case 0:if(o().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!n.resizeWidth||!n.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=n.resizeWidth,t.height=n.resizeHeight}return[4,(r=new e(t,n)).start()];case 1:return a.sent(),[2,r]}})})},e.prototype.start=function(){return Nb(this,void 0,void 0,function(){var t,e,n=this;return Sb(this,function(r){switch(r.label){case 0:this.webcamConfig.facingMode&&Q.assert("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,function(){return"Invalid webcam facing mode: "+n.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),r.label=1;case 1:return r.trys.push([1,3,,4]),t=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return t.stream=r.sent(),[3,4];case 3:throw(e=r.sent()).message="Error thrown while initializing video stream: "+e.message,e;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(t){n.webcamVideoElement.onloadedmetadata=function(){t()}})]}})})},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){if(this.isClosed)return[2,{value:null,done:!0}];try{t=Up.fromPixels(this.webcamVideoElement)}catch(t){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(t))}if(!this.resize)return[2,{value:t,done:!1}];try{return[2,{value:this.cropAndResizeFrame(t),done:!1}]}catch(t){throw new Error("Error thrown cropping the video: "+t.message)}finally{t.dispose()}return[2]})})},e.prototype.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},e.prototype.cropAndResizeFrame=function(t){var e=this;return Be(function(){var n,r=t.toFloat().expandDims(0),a=(n=Rc.cropAndResize(r,e.cropBox,e.cropBoxInd,e.cropSize,"bilinear")).shape;return n.reshape(a.slice(1))})},e.prototype.capture=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},e.prototype.stop=function(){this.stream.getTracks().forEach(function(t){return t.stop()});try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0},e.prototype.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},e}(Hb),wx=function(){},Cx=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Cb(e,t),e.prototype.split=function(t){return new Nx(this,t)},e}(Hb),Nx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.impl=new Sx(e,n),r}return Cb(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return[2,this.impl.next()]})})},e}(Cx),Sx=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.separator=n,r.carryover="",r}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},e.prototype.pump=function(){return Nb(this,void 0,void 0,function(){var t,e,n,r,a;return Sb(this,function(i){switch(i.label){case 0:return[4,this.upstream.next()];case 1:if((t=i.sent()).done)return""===this.carryover?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for((e=t.value.split(this.separator))[0]=this.carryover+e[0],n=0,r=e.slice(0,-1);n<r.length;n++)a=r[n],this.outputQueue.push(a);return this.carryover=e[e.length-1],[2,!0]}})})},e}(rx),Ix=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return Cb(e,t),e.prototype.decodeUTF8=function(){return new kx(this)},e}(Hb),kx=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.impl=new Ex(e),n}return Cb(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return[2,this.impl.next()]})})},e}(Cx),Ex=function(t){function e(e){var n=t.call(this)||this;if(n.upstream=e,o().get("IS_BROWSER"))n.decoder=new TextDecoder("utf-8");else{var r=require("string_decoder").StringDecoder;n.decoder=new r("utf8")}return n}return Cb(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Utf8"},e.prototype.pump=function(){return Nb(this,void 0,void 0,function(){var t,e,n;return Sb(this,function(r){switch(r.label){case 0:return[4,this.upstream.next()];case 1:return(t=r.sent()).done?[2,!1]:(e=t.value,n=o().get("IS_BROWSER")?this.decoder.decode(e,{stream:!0}):this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),[2,!0])}})})},e}(rx),Ax=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.file=e,r.options=n,Q.assert(e instanceof Uint8Array||!!o().get("IS_BROWSER")&&(e instanceof File||e instanceof Blob),function(){return"FileChunkIterator only supports File, Blob and Uint8Array right now."}),r.offset=n.offset||0,r.chunkSize=n.chunkSize||1048576,r}return Cb(e,t),e.prototype.summary=function(){return"FileChunks "+this.file},e.prototype.next=function(){return Nb(this,void 0,void 0,function(){var t,e,n=this;return Sb(this,function(r){switch(r.label){case 0:return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?[2,{value:null,done:!0}]:(t=new Promise(function(t,e){var r=n.offset+n.chunkSize;if(n.file instanceof Uint8Array)t(new Uint8Array(n.file.slice(n.offset,r)));else{var a=new FileReader;a.onload=function(n){var r=a.result;if(r instanceof ArrayBuffer&&(r=new Uint8Array(r)),!(r instanceof Uint8Array))return e(new TypeError("FileReader returned unknown type."));t(r)},a.onabort=function(t){return e(new Error("Aborted"))},a.onerror=function(t){return e(new Error(t.type))};var i=n.file.slice(n.offset,r);a.readAsArrayBuffer(i)}n.offset=r}),e={},[4,t]);case 1:return[2,(e.value=r.sent(),e.done=!1,e)]}})})},e}(Ix);var Rx=function(t){return{method:t.method,headers:t.headers,body:t.body,mode:t.mode,credentials:t.credentials,cache:t.cache,redirect:t.redirect,referrer:t.referrer,integrity:t.integrity}};function Tx(t){return"string"==typeof t&&"file://"===t.substr(0,7)}var Dx=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.input=e,r.options=n,r}return Cb(e,t),e.prototype.iterator=function(){return Nb(this,void 0,void 0,function(){var t;return Sb(this,function(e){return Tx(this.input)&&o().get("IS_NODE")&&(t=require("fs"),this.input=t.readFileSync(this.input.substr(7))),[2,new Ax(this.input,this.options)]})})},e}(wx),Ox=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.url=e,r.fileOptions=n,r}return Cb(e,t),e.prototype.iterator=function(){return Nb(this,void 0,void 0,function(){return Sb(this,function(t){return Tx(this.url)?[2,new Dx(this.url,this.fileOptions).iterator()]:[2,function(t,e){return void 0===e&&(e={}),Nb(this,void 0,void 0,function(){var n,r,a,i,o;return Sb(this,function(s){switch(s.label){case 0:return"string"==typeof t?n=t:(n=t.url,r=Rx(t)),[4,Q.fetch(n,r)];case 1:return(a=s.sent()).ok?(o=Uint8Array.bind,[4,a.arrayBuffer()]):[3,3];case 2:return i=new(o.apply(Uint8Array,[void 0,s.sent()])),[2,new Ax(i,e)];case 3:throw new Error(a.statusText)}})})}(this.url,this.fileOptions)]})})},e}(wx);var _x=Object.freeze({array:function(t){var e=this;return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(e){return[2,jb(t)]})})},t.length)},Dataset:lx,zip:function(t){var e,n=this;if(!Bb(t))throw new Error("The argument to zip() must be an object or array.");if(Array.isArray(t))for(var r=0;r<t.length;r++)e=null==e?t[r].size:Math.min(e,t[r].size);else if(t instanceof Object)for(var a in t)e=null==e?t[a].size:Math.min(e,t[a].size);return cx(function(){return Nb(n,void 0,void 0,function(){return Sb(this,function(e){switch(e.label){case 0:return[4,Lb(t,function(t){if(t instanceof lx)return{value:t.iterator(),recurse:!1};if(Bb(t))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})];case 1:return[2,function(t,e){return void 0===e&&(e=qb.FAIL),new ox(t,e)}(e.sent(),qb.SHORTEST)]}})})},e)},CSVDataset:yx,TextLineDataset:hx,csv:function(t,e){return void 0===e&&(e={}),new yx(new Ox(t),e)},func:function(t){var e=this,n=Gb(t);return cx(function(){return Nb(e,void 0,void 0,function(){return Sb(this,function(t){return[2,n]})})})},generator:function(t){var e=this;return cx(function(){return Nb(e,void 0,void 0,function(){var e;return Sb(this,function(n){switch(n.label){case 0:return[4,t()];case 1:return e=n.sent(),[2,Gb(function(){return e.next()})]}})})})},microphone:function(t){return Nb(this,void 0,void 0,function(){return Sb(this,function(e){return[2,bx.create(t)]})})},webcam:function(t,e){return Nb(this,void 0,void 0,function(){return Sb(this,function(n){return[2,xx.create(t,e)]})})},FileDataSource:Dx,URLDataSource:Ox,version_data:"1.3.1"}),Fx={"tfjs-core":"1.3.1","tfjs-data":"1.3.1","tfjs-layers":"1.3.1","tfjs-converter":"1.3.1",tfjs:"1.3.1"};t.data=_x,t.version=Fx,t.AdadeltaOptimizer=eh,t.AdagradOptimizer=nh,t.AdamOptimizer=rh,t.AdamaxOptimizer=ah,t.DataStorage=Pr,t.Environment=i,t.KernelBackend=Wr,t.MomentumOptimizer=oh,t.Optimizer=th,t.RMSPropOptimizer=sh,t.SGDOptimizer=ih,t.Tensor=ht,t.TensorBuffer=ut,t.Variable=vt,t.abs=rs,t.acos=as,t.acosh=is,t.add=ru,t.addN=au,t.addStrict=iu,t.all=Cl,t.any=Nl,t.argMax=Sl,t.argMin=Il,t.asin=os,t.asinh=ss,t.atan=us,t.atan2=ou,t.atanh=ls,t.avgPool=hl,t.avgPool3d=ml,t.backend=Ve,t.backend_util=oa,t.basicLSTMCell=Ul,t.batchNorm=Ks,t.batchNorm2d=Xs,t.batchNorm3d=$s,t.batchNorm4d=Ys,t.batchNormalization=Hs,t.batchNormalization2d=js,t.batchNormalization3d=Gs,t.batchNormalization4d=qs,t.batchToSpaceND=qn,t.booleanMaskAsync=Wu,t.browser=Up,t.buffer=jn,t.cast=Hn,t.ceil=cs,t.clipByValue=ps,t.clone=Kn,t.complex=an,t.concat=In,t.concat1d=kn,t.concat2d=En,t.concat3d=An,t.concat4d=Rn,t.conv1d=Gu,t.conv2d=qu,t.conv2dTranspose=Qu,t.conv3d=Hu,t.conv3dTranspose=tl,t.cos=hs,t.cosh=fs,t.cumsum=Xn,t.customGrad=Mr,t.deprecationWarn=ze,t.depthToSpace=$n,t.depthwiseConv2d=$u,t.diag=ec,t.disableDeprecationWarnings=function(){o().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")},t.dispose=Pe,t.disposeVariables=function(){At.disposeVariables()},t.div=su,t.divStrict=uu,t.dot=nl,t.dropout=nc,t.elu=_l,t.enableDebugMode=function(){o().set("DEBUG",!0)},t.enableProdMode=function(){o().set("PROD",!0)},t.engine=function(){return At},t.env=o,t.equal=Su,t.equalStrict=Iu,t.erf=ds,t.exp=ms,t.expandDims=Yn,t.expm1=gs,t.eye=Jn,t.fft=Xl,t.fill=xn,t.findBackend=function(t){return At.findBackend(t)},t.findBackendFactory=function(t){return At.findBackendFactory(t)},t.floor=vs,t.floorDiv=lu,t.frame=oc,t.fused=Lc,t.gather=Bu,t.gatherND=tc,t.getBackend=function(){return At.backendName},t.getKernel=u,t.getKernelsForBackend=l,t.grad=function(t){return g(U(t),function(){return"The f passed in grad(f) must be a function"}),function(e,n){var r=qe(e,"x","tf.grad",null),a=null!=n?qe(n,"dy","tf.grad"):null;return At.tidy(function(){var e=At.gradients(function(){return t(r)},[r],a),n=e.value,i=e.grads;return null!=a&&v(n.shape,a.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),zr(i),i[0]})}},t.grads=function(t){return g(U(t),function(){return"The f passed in grads(f) must be a function"}),function(e,n){g(Array.isArray(e),function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"});var r=He(e,"args","tf.grads",null),a=null!=n?qe(n,"dy","tf.grads"):null;return At.tidy(function(){var e=At.gradients(function(){return t.apply(void 0,r)},r,a),n=e.value,i=e.grads;return null!=a&&v(n.shape,a.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),zr(i),i})}},t.greater=ku,t.greaterEqual=Eu,t.greaterEqualStrict=Au,t.greaterStrict=Ru,t.hammingWindow=ic,t.hannWindow=ac,t.ifft=$l,t.imag=sn,t.image=Rc,t.inTopKAsync=lc,t.io=Bp,t.irfft=Jl,t.isFinite=Rs,t.isInf=As,t.isNaN=Es,t.keep=We,t.leakyRelu=Fl,t.less=Tu,t.lessEqual=Du,t.lessEqualStrict=Ou,t.lessStrict=_u,t.linalg=Nc,t.linspace=wn,t.localResponseNormalization=Wl,t.log=ys,t.log1p=bs,t.logSigmoid=xs,t.logSoftmax=Br,t.logSumExp=kl,t.logicalAnd=Js,t.logicalNot=Zs,t.logicalOr=Qs,t.logicalXor=tu,t.losses=bc,t.matMul=el,t.math=Wp,t.max=El,t.maxPool=pl,t.maxPool3d=dl,t.maximum=cu,t.maximumStrict=pu,t.mean=Al,t.memory=Le,t.min=Rl,t.minimum=hu,t.minimumStrict=fu,t.mod=du,t.modStrict=mu,t.moments=Tl,t.movingAverage=Gl,t.mul=gu,t.mulStrict=vu,t.multiRNNCell=jl,t.multinomial=Zn,t.neg=ws,t.nextFrame=ph,t.norm=Vl,t.notEqual=Fu,t.notEqualStrict=Mu,t.oneHot=Qn,t.ones=yn,t.onesLike=Nn,t.op=rn,t.outerProduct=rl,t.pad=tr,t.pad1d=er,t.pad2d=nr,t.pad3d=rr,t.pad4d=ar,t.pool=fl,t.pow=yu,t.powStrict=bu,t.prelu=Ml,t.print=Gn,t.prod=Ol,t.profile=function(t){return At.profile(t)},t.rand=ir,t.randomGamma=sr,t.randomNormal=or,t.randomUniform=ur,t.range=Cn,t.ready=function(){return At.ready()},t.real=on,t.reciprocal=Cs,t.registerBackend=function(t,e,n){return void 0===n&&(n=1),At.registerBackend(t,e,n)},t.registerKernel=c,t.relu=zl,t.relu6=Ll,t.removeBackend=function(t){At.removeBackend(t)},t.reshape=lr,t.reverse=al,t.reverse1d=il,t.reverse2d=ol,t.reverse3d=sl,t.reverse4d=ul,t.rfft=Yl,t.round=Ns,t.rsqrt=Ss,t.scalar=cn,t.scatterND=Kl,t.selu=Bl,t.separableConv2d=Zu,t.serialization=Hp,t.setBackend=function(t){return At.setBackend(t)},t.setPlatform=function(t,e){o().setPlatform(t,e)},t.setdiff1dAsync=gr,t.sigmoid=Is,t.sign=ks,t.signal=uc,t.sin=Ts,t.sinh=Ds,t.slice=gl,t.slice1d=vl,t.slice2d=yl,t.slice3d=bl,t.slice4d=xl,t.slice_util=_r,t.softmax=Lr,t.softplus=Os,t.spaceToBatchND=cr,t.sparseToDense=Ql,t.spectral=Zl,t.split=Tn,t.sqrt=_s,t.square=ns,t.squaredDifference=xu,t.squaredDifferenceStrict=wu,t.squeeze=pr,t.stack=hr,t.step=Fs,t.stft=sc,t.stridedSlice=ql,t.sub=Cu,t.subStrict=Nu,t.sum=Dl,t.tan=Ms,t.tanh=zs,t.tensor=un,t.tensor1d=pn,t.tensor2d=hn,t.tensor3d=fn,t.tensor4d=dn,t.tensor5d=mn,t.tensor6d=gn,t.tensor_util=It,t.test_util=Zp,t.tidy=Be,t.tile=fr,t.time=function(t){return At.time(t)},t.topk=Hl,t.train=lh,t.transpose=Pl,t.truncatedNormal=dr,t.unregisterKernel=function(t,e){var n=p(t,e);if(!s.has(n))throw new Error("The kernel '"+t+"' for backend '"+e+"' is not registered");s.delete(n)},t.unsortedSegmentSum=Pu,t.unstack=mr,t.util=Q,t.valueAndGrad=function(t){return g(U(t),function(){return"The f passed in valueAndGrad(f) must be a function"}),function(e,n){g(e instanceof ht,function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"}),g(null==n||n instanceof ht,function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"});var r=At.gradients(function(){return t(e)},[e],n),a=r.grads,i=r.value;return zr(a),{grad:a[0],value:i}}},t.valueAndGrads=function(t){return g(U(t),function(){return"The f passed in valueAndGrads(f) must be a function"}),function(e,n){g(Array.isArray(e)&&e.every(function(t){return t instanceof ht}),function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"}),g(null==n||n instanceof ht,function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"});var r=At.gradients(function(){return t.apply(void 0,e)},e,n);return null!=n&&v(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),zr(r.grads),r}},t.variable=vn,t.variableGrads=Fr,t.version_core="1.3.1",t.webgl=Qp,t.where=eu,t.whereAsync=nu,t.zeros=bn,t.zerosLike=Sn,t.constraints=Jh,t.initializers=ad,t.layers=Yv,t.metrics=Jv,t.models=Zv,t.regularizers=Qv,t.CallbackList=Dd,t.CustomCallback=Fd,t.History=_d,t.Callback=ty,t.callbacks=oy,t.EarlyStopping=ry,t.InputSpec=yd,t.SymbolicTensor=bd,t.LayersModel=Pm,t.input=Um,t.loadLayersModel=function(t,e){return null==e&&(e={}),Wm(t,e)},t.model=function(t){return new Pm(t)},t.registerCallbackConstructor=function(t,e){zd.registerCallbackConstructor(t,e)},t.sequential=function(t){return new Vm(t)},t.RNN=Iv,t.Sequential=Vm,t.LayerVariable=md,t.version_layers="1.3.1",t.GraphModel=xb,t.loadGraphModel=function(t,e){return void 0===e&&(e={}),uy(this,void 0,void 0,function(){var n;return ly(this,function(r){switch(r.label){case 0:if(null==t)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==e&&(e={}),e.fromTFHub&&null==t.load&&(t.endsWith("/")||(t+="/"),t=""+t+bb+yb),[4,(n=new xb(t,e)).load()];case 1:return r.sent(),[2,n]}})})},t.deregisterOp=function(t){delete cy[t]},t.registerOp=function(t,e){var n={tfOpName:t,category:"custom",inputs:[],attrs:[],customExecutor:e};cy[t]=n},t.version_converter="1.3.1",Object.defineProperty(t,"__esModule",{value:!0})});
//# sourceMappingURL=tf.min.js.map