tf.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)}var r=function(){return(r=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t}).apply(this,arguments)};function i(t,e,n,r){return new(n||(n=Promise))(function(i,o){function a(t){try{u(r.next(t))}catch(t){o(t)}}function s(t){try{u(r.throw(t))}catch(t){o(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(a,s)}u((r=r.apply(t,e||[])).next())})}function o(t,e){var n,r,i,o,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&o[0]?r.return:o[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,o[1])).done)return i;switch(r=0,i&&(o=[2&o[0],i.value]),o[0]){case 0:case 1:i=o;break;case 4:return a.label++,{value:o[1],done:!1};case 5:a.label++,r=o[1],o=[0];continue;case 7:o=a.ops.pop(),a.trys.pop();continue;default:if(!(i=(i=a.trys).length>0&&i[i.length-1])&&(6===o[0]||2===o[0])){a=0;continue}if(3===o[0]&&(!i||o[1]>i[0]&&o[1]<i[3])){a.label=o[1];break}if(6===o[0]&&a.label<i[1]){a.label=i[1],i=o;break}if(i&&a.label<i[2]){a.label=i[2],a.ops.push(o);break}i[2]&&a.ops.pop(),a.trys.pop();continue}o=e.call(t,a)}catch(t){o=[6,t],r=0}finally{n=i=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}}var a={},s={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function u(t){t in a||(a[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var e=document.createElement("canvas");return e.addEventListener("webglcontextlost",function(e){e.preventDefault(),delete a[t]},!1),1===t?e.getContext("webgl",s)||e.getContext("experimental-webgl",s):e.getContext("webgl2",s)}(t));var e=a[t];return e.isContextLost()?(delete a[t],u(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),a[t])}function l(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 c(t,e,n){return Math.max(t,Math.min(e,n))}function p(t){return t%2==0?t:t+1}function h(t){for(var e=0,n=0;n<t.length;n++)e+=t[n];return e}function f(t,e){var n=Math.random();return e*n+(1-n)*t}function d(t,e){if(!t)throw new Error("string"==typeof e?e:e())}function m(t,e,n){void 0===n&&(n=""),d(b(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})}function g(t){d(null!=t,function(){return"The input to the tensor constructor must be a non-null value."})}function y(t,e){if(void 0===e&&(e=[]),null==e&&(e=[]),Array.isArray(t)||_(t))for(var n=0;n<t.length;++n)y(t[n],e);else e.push(t);return e}function v(t){if(0===t.length)return 1;for(var e=t[0],n=1;n<t.length;n++)e*=t[n];return e}function b(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 w(t){return t%1==0}function x(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 N(t){var e=Math.ceil(Math.sqrt(t));return[e,Math.ceil(t/e)]}function S(t,e){return e<=t.length?t:t+" ".repeat(e-t.length)}function C(t,e,n){return void 0===e&&(e=function(t){return 0}),new Promise(function(r,i){var o=0,a=function(){if(t())r();else{var s=e(++o);null!=n&&o>=n?i():setTimeout(a,s)}};a()})}function E(t,e){for(var n=1,r=-1,i=0;i<t.length;++i)if(t[i]>=0)n*=t[i];else if(-1===t[i]){if(-1!==r)throw Error("Shapes can only have 1 implicit size. Found -1 at dim "+r+" and dim "+i);r=i}else if(t[i]<0)throw Error("Shapes can not be < 0. Found "+t[i]+" at dim "+i);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 o=t.slice();return o[r]=e/n,o}function I(t,e){var n=e.length;return d((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}),d(t.every(function(t){return w(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 k(t,e){for(var n=[],r=[],i=null==e?null:I(e,t).sort(),o=0,a=0;a<t.length;++a){if(null!=i){if(i[o]===a&&1!==t[a])throw new Error("Can't squeeze axis "+a+" since its dim '"+t[a]+"' is not 1");(null==i[o]||i[o]>a)&&1===t[a]&&(n.push(t[a]),r.push(a)),i[o]<=a&&o++}1!==t[a]&&(n.push(t[a]),r.push(a))}return{newShape:n,keptDims:r}}function A(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 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)n=new Uint8Array(e);else{if("string"!==t)throw new Error("Unknown data type "+t);n=new Array(e)}return n}function R(t,e,n){if("float32"===e)for(var r=0;r<t.length;r++){var i=t[r];if(isNaN(i)||!isFinite(i))throw Error("The result of the '"+n+"' is "+i+".")}}function D(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 O(t,e){return!("complex64"===e||"float32"===e&&"complex64"!==t||"int32"===e&&"float32"!==t&&"complex64"!==t||"bool"===e&&"bool"===t)}function _(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array}function M(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+=2*t.length}),e}function F(t){return"string"==typeof t||t instanceof String}function z(t){return"boolean"==typeof t}function P(t){return"number"==typeof t}function B(t){return Array.isArray(t)?B(t[0]):t instanceof Float32Array?"float32":t instanceof Int32Array||t instanceof Uint8Array?"int32":P(t)?"float32":F(t)?"string":z(t)?"bool":"float32"}function U(t){return!!(t&&t.constructor&&t.call&&t.apply)}function W(t,e){for(var n=e;n<t;++n)if(t%n==0)return n;return t}function V(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 j(t,e,n){if("string"===e)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(t)&&(t=y(t)),n&&D(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),i=0;i<r.length;++i)0!==Math.round(t[i])&&(r[i]=1);return r}throw new Error("Unknown data type "+e)}function q(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 i=new Array;if(1===n.length)for(var o=n[0],a=0;a<o;a++)i[a]=r[e+a];else{o=n[0];var s=n.slice(1),u=s.reduce(function(t,e){return t*e});for(a=0;a<o;a++)i[a]=t(e+a*u,s,r)}return i}(0,t,e)}function G(t,e){for(var n=H(t,e),r=0;r<n.length;r++)n[r]=1;return n}function H(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 K(){if("undefined"!=typeof performance)return performance.now();if("undefined"!=typeof process){var t=process.hrtime();return 1e3*t[0]+t[1]/1e6}throw new Error("Cannot measure time in this environment. You should run tf.js in the browser or in Node.js")}function $(t){t.forEach(function(e){d(Number.isInteger(e)&&e>=0,function(){return"Tensor must have a shape comprised of positive integers but got shape ["+t+"]."})})}var X=Object.freeze({shuffle:l,clamp:c,nearestLargerEven:p,sum:h,randUniform:f,distSquared:function(t,e){for(var n=0,r=0;r<t.length;r++){var i=Number(t[r])-Number(e[r]);n+=i*i}return n},assert:d,assertShapesMatch:m,assertNonNull:g,flatten:y,sizeFromShape:v,isScalarShape:function(t){return 0===t.length},arraysEqual:b,isInt:w,tanh:x,sizeToSquarishShape:N,createShuffledIndices:function(t){for(var e=new Uint32Array(t),n=0;n<t;++n)e[n]=n;return l(e),e},rightPad:S,repeatedTry:C,inferFromImplicitShape:E,parseAxisParam:I,squeezeShape:k,getTypedArrayFromDType:A,getArrayFromDType:T,checkComputationForErrors:R,checkConversionForErrors:D,hasEncodingLoss:O,isTypedArray:_,bytesPerElement:M,bytesFromStringArray:L,isString:F,isBoolean:z,isNumber:P,inferDtype:B,isFunction:U,nearestDivisor:W,computeStrides:V,toTypedArray:j,toNestedArray:q,makeOnesTypedArray:G,makeZerosTypedArray:H,now:K,assertNonNegativeIntegerDimensions:$}),Y=function(){function t(t,e){this.backendTimer=t,this.logger=e,null==e&&(this.logger=new J)}return t.prototype.profileKernel=function(t,e){var n,r=this,i=this.backendTimer.time(function(){n=e()});return(Array.isArray(n)?n:[n]).forEach(function(e){var n=e.dataSync();R(n,e.dtype,t),i.then(function(i){var o="";null!=i.getExtraProfileInfo&&(o=i.getExtraProfileInfo()),r.logger.logKernelProfile(t,e,n,i.kernelMs,o)})}),n},t}(),J=function(){function t(){}return t.prototype.logKernelProfile=function(t,e,n,r,i){var o=S(r+"ms",9),a=S(t,25),s=e.rank,u=e.size,l=S(e.shape.toString(),14);console.log("%c"+a+"\t%c"+o+"\t%c"+s+"D "+l+"\t%c"+u+"\t%c"+i,"font-weight:bold","color:red","color:blue","color: orange","color: green")},t}(),Z=20,Q=3,tt=7;function et(t,e,n,r){var i=V(e),o=function(t,e,n,r){var i=v(e),o=r[r.length-1],a=new Array(o).fill(0),s=e.length,u="complex64"===n?rt(t):t;if(s>1)for(var l=0;l<i/o;l++)for(var c=l*o,p=0;p<o;p++)a[p]=Math.max(a[p],nt(u[c+p],0).length);return a}(t,e,n,i),a=e.length,s=function t(e,n,r,i,o,a){void 0===a&&(a=!0);var s="complex64"===r?2:1,u=n[0],l=n.length;if(0===l)return"complex64"===r?[nt(rt(e)[0],0)]:[e[0].toString()];if(1===l){if(u>Z){var c=Q*s,p=Array.from(e.slice(0,c)),h=Array.from(e.slice(u-Q*s,u));return"complex64"===r&&(p=rt(p),h=rt(h)),["["+p.map(function(t,e){return nt(t,o[e])}).join(", ")+", ..., "+h.map(function(t,e){return nt(t,o[u-Q+e])}).join(", ")+"]"]}return["["+("complex64"===r?rt(e):Array.from(e)).map(function(t,e){return nt(t,o[e])}).join(", ")+"]"]}var f=n.slice(1),d=i.slice(1),m=i[0]*s,g=[];if(u>Z){for(var y=0;y<Q;y++){var v=(b=y*m)+m;g.push.apply(g,t(e.slice(b,v),f,r,d,o,!1))}for(g.push("..."),y=u-Q;y<u;y++)v=(b=y*m)+m,g.push.apply(g,t(e.slice(b,v),f,r,d,o,y===u-1))}else for(y=0;y<u;y++){var b;v=(b=y*m)+m,g.push.apply(g,t(e.slice(b,v),f,r,d,o,y===u-1))}var w=2===l?",":"";g[0]="["+g[0]+w;for(y=1;y<g.length-1;y++)g[y]=" "+g[y]+w;var x=",\n";for(y=2;y<l;y++)x+="\n";return g[g.length-1]=" "+g[g.length-1]+"]"+(a?"":x),g}(t,e,n,i,o),u=["Tensor"];return r&&(u.push("  dtype: "+n),u.push("  rank: "+a),u.push("  shape: ["+e+"]"),u.push("  values:")),u.push(s.map(function(t){return"    "+t}).join("\n")),u.join("\n")}function nt(t,e){return S(Array.isArray(t)?parseFloat(t[0].toFixed(tt))+" + "+parseFloat(t[1].toFixed(tt))+"j":F(t)?"'"+t+"'":parseFloat(t.toFixed(tt)).toString(),e)}function rt(t){for(var e=[],n=0;n<t.length;n+=2)e.push([t[n],t[n+1]]);return e}var it=function(){function t(t,e,n){var r=this;if(this.dtype=e,this.shape=t.slice(),this.size=v(t),null!=n){var i=n.length;d(i===this.size,function(){return"Length of values '"+i+"' 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||T(e,v(this.shape)),this.strides=V(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]),d(n.length===this.rank,function(){return"The number of provided coordinates ("+n.length+") must match the rank ("+e.rank+")"});var i=this.locToIndex(n);this.values[i]=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=t[t.length-1],r=0;r<t.length-1;++r)n+=this.strides[r]*t[r];return this.values[n]},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 ut.make(this.shape,{values:this.values},this.dtype)},t}(),ot=null,at=null,st=null;var ut=function(){function t(t,e,n,r,i){this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=v(t),this.strides=V(t),this.dataId=null!=r?r:{},this.id=ot().nextTensorId(),this.rankType=this.rank<5?this.rank.toString():"higher",ot().registerTensor(this,i),null!=n&&ot().write(this.dataId,n)}return t.make=function(e,n,r,i){return new t(e,r,n.values,n.dataId,i)},t.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},t.prototype.asScalar=function(){return this.throwIfDisposed(),d(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,i){return this.throwIfDisposed(),this.reshape([t,e,n,r,i])},t.prototype.asType=function(t){return this.throwIfDisposed(),at.cast(this,t)},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.buffer=function(){return i(this,void 0,void 0,function(){var t;return o(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,at.buffer(this.shape,this.dtype,t)]}})})},t.prototype.bufferSync=function(){return at.buffer(this.shape,this.dtype,this.dataSync())},t.prototype.array=function(){return i(this,void 0,void 0,function(){var t;return o(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,q(this.shape,t)]}})})},t.prototype.arraySync=function(){return q(this.shape,this.dataSync())},t.prototype.data=function(){return i(this,void 0,void 0,function(){return o(this,function(t){return this.throwIfDisposed(),[2,ot().read(this.dataId)]})})},t.prototype.dataSync=function(){return this.throwIfDisposed(),ot().readSync(this.dataId)},t.prototype.dispose=function(){this.isDisposed||(ot().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),at.print(this,t)},t.prototype.reshape=function(t){return this.throwIfDisposed(),at.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),at.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),at.cumsum(this,t,e,n)},t.prototype.squeeze=function(t){return this.throwIfDisposed(),at.squeeze(this,t)},t.prototype.clone=function(){return this.throwIfDisposed(),at.clone(this)},t.prototype.oneHot=function(t,e,n){return this.throwIfDisposed(),at.oneHot(this,t,e,n)},t.prototype.toString=function(t){return void 0===t&&(t=!1),et(this.dataSync(),this.shape,this.dtype,t)},t.prototype.tile=function(t){return this.throwIfDisposed(),at.tile(this,t)},t.prototype.gather=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),at.gather(this,t,e)},t.prototype.matMul=function(t,e,n){return void 0===e&&(e=!1),void 0===n&&(n=!1),this.throwIfDisposed(),at.matMul(this,t,e,n)},t.prototype.dot=function(t){return this.throwIfDisposed(),at.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(),at.norm(this,t,e,n)},t.prototype.slice=function(t,e){return this.throwIfDisposed(),at.slice(this,t,e)},t.prototype.reverse=function(t){return this.throwIfDisposed(),at.reverse(this,t)},t.prototype.concat=function(e,n){return void 0===n&&(n=0),this.throwIfDisposed(),e instanceof t&&(e=[e]),at.concat([this].concat(e),n)},t.prototype.split=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),at.split(this,t,e)},t.prototype.stack=function(t,e){return void 0===e&&(e=0),at.stack([this,t],e)},t.prototype.unstack=function(t){return void 0===t&&(t=0),at.unstack(this,t)},t.prototype.pad=function(t,e){return void 0===e&&(e=0),at.pad(this,t,e)},t.prototype.batchNormalization=function(t,e,n,r,i){return void 0===n&&(n=.001),st("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon"),this.batchNorm(t,e,i,r,n)},t.prototype.batchNorm=function(t,e,n,r,i){return void 0===i&&(i=.001),this.throwIfDisposed(),at.batchNorm(this,t,e,n,r,i)},t.prototype.all=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.all(this,t,e)},t.prototype.any=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.any(this,t,e)},t.prototype.logSumExp=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.logSumExp(this,t,e)},t.prototype.sum=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.sum(this,t,e)},t.prototype.prod=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.prod(this,t,e)},t.prototype.mean=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.mean(this,t,e)},t.prototype.min=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.min(this,t,e)},t.prototype.max=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),at.max(this,t,e)},t.prototype.argMin=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),at.argMin(this,t)},t.prototype.argMax=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),at.argMax(this,t)},t.prototype.cast=function(t){return this.throwIfDisposed(),at.cast(this,t)},t.prototype.add=function(t){return this.throwIfDisposed(),at.add(this,t)},t.prototype.addStrict=function(t){return this.throwIfDisposed(),at.addStrict(this,t)},t.prototype.atan2=function(t){return this.throwIfDisposed(),at.atan2(this,t)},t.prototype.sub=function(t){return this.throwIfDisposed(),at.sub(this,t)},t.prototype.subStrict=function(t){return this.throwIfDisposed(),at.subStrict(this,t)},t.prototype.pow=function(t){return this.throwIfDisposed(),at.pow(this,t)},t.prototype.powStrict=function(t){return this.throwIfDisposed(),at.powStrict(this,t)},t.prototype.mul=function(t){return this.throwIfDisposed(),at.mul(this,t)},t.prototype.mulStrict=function(t){return this.throwIfDisposed(),at.mulStrict(this,t)},t.prototype.div=function(t){return this.throwIfDisposed(),at.div(this,t)},t.prototype.floorDiv=function(t){return this.throwIfDisposed(),at.floorDiv(this,t)},t.prototype.divStrict=function(t){return this.throwIfDisposed(),at.divStrict(this,t)},t.prototype.minimum=function(t){return this.throwIfDisposed(),at.minimum(this,t)},t.prototype.minimumStrict=function(t){return this.throwIfDisposed(),at.minimumStrict(this,t)},t.prototype.maximum=function(t){return this.throwIfDisposed(),at.maximum(this,t)},t.prototype.maximumStrict=function(t){return this.throwIfDisposed(),at.maximumStrict(this,t)},t.prototype.mod=function(t){return this.throwIfDisposed(),at.mod(this,t)},t.prototype.modStrict=function(t){return this.throwIfDisposed(),at.modStrict(this,t)},t.prototype.squaredDifference=function(t){return this.throwIfDisposed(),at.squaredDifference(this,t)},t.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),at.squaredDifferenceStrict(this,t)},t.prototype.transpose=function(t){return this.throwIfDisposed(),at.transpose(this,t)},t.prototype.notEqual=function(t){return this.throwIfDisposed(),at.notEqual(this,t)},t.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),at.notEqualStrict(this,t)},t.prototype.less=function(t){return this.throwIfDisposed(),at.less(this,t)},t.prototype.lessStrict=function(t){return this.throwIfDisposed(),at.lessStrict(this,t)},t.prototype.equal=function(t){return this.throwIfDisposed(),at.equal(this,t)},t.prototype.equalStrict=function(t){return this.throwIfDisposed(),at.equalStrict(this,t)},t.prototype.lessEqual=function(t){return this.throwIfDisposed(),at.lessEqual(this,t)},t.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),at.lessEqualStrict(this,t)},t.prototype.greater=function(t){return this.throwIfDisposed(),at.greater(this,t)},t.prototype.greaterStrict=function(t){return this.throwIfDisposed(),at.greaterStrict(this,t)},t.prototype.greaterEqual=function(t){return this.throwIfDisposed(),at.greaterEqual(this,t)},t.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),at.greaterEqualStrict(this,t)},t.prototype.logicalAnd=function(t){return this.throwIfDisposed(),at.logicalAnd(this,t)},t.prototype.logicalOr=function(t){return this.throwIfDisposed(),at.logicalOr(this,t)},t.prototype.logicalNot=function(){return this.throwIfDisposed(),at.logicalNot(this)},t.prototype.logicalXor=function(t){return this.throwIfDisposed(),at.logicalXor(this,t)},t.prototype.where=function(t,e){return this.throwIfDisposed(),at.where(t,this,e)},t.prototype.neg=function(){return this.throwIfDisposed(),at.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),at.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),at.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),at.sign(this)},t.prototype.exp=function(){return this.throwIfDisposed(),at.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),at.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),at.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),at.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),at.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),at.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),at.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),at.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),at.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),at.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),at.relu(this)},t.prototype.elu=function(){return this.throwIfDisposed(),at.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),at.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),at.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),at.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),at.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),at.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),at.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),at.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),at.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),at.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),at.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),at.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),at.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),at.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),at.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),at.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),at.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),at.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),at.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),at.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),at.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),at.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),at.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),at.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),at.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),at.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),at.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),at.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,i,o){return void 0===r&&(r="NWC"),void 0===i&&(i=1),this.throwIfDisposed(),at.conv1d(this,t,e,n,r,i,o)},t.prototype.conv2d=function(t,e,n,r,i,o){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),at.conv2d(this,t,e,n,r,i,o)},t.prototype.conv2dTranspose=function(t,e,n,r,i){return this.throwIfDisposed(),at.conv2dTranspose(this,t,e,n,r,i)},t.prototype.depthwiseConv2D=function(t,e,n,r,i,o){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),at.depthwiseConv2d(this,t,e,n,r,i,o)},t.prototype.separableConv2d=function(t,e,n,r,i,o){return void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC"),this.throwIfDisposed(),at.separableConv2d(this,t,e,n,r,i,o)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),at.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),at.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),at.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,i){return this.throwIfDisposed(),at.pool(this,t,e,n,r,i)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),lt.variable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),at.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),at.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),at.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),at.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s){return void 0===r&&(r=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===s&&(s=0),this.throwIfDisposed(),at.stridedSlice(this,t,e,n,r,i,o,a,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),at.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),at.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),at.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),at.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),at.spectral.irfft(this)},t}();Object.defineProperty(ut,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var lt=function(t){function e(e,n,r){void 0===n&&(n=!0);var i=t.call(this,e.shape,e.dtype,null,e.dataId)||this;i.trainable=n,i.name=r,null==i.name&&(i.name=ot().nextVariableId().toString());try{ot().registerVariable(i)}catch(t){throw ot().disposeTensor(i),t}return i}return n(e,t),e.variable=function(t,n,r,i){return void 0===n&&(n=!0),null!=i&&i!==t.dtype&&(t=t.asType(i)),new e(t,n,r)},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(!b(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");ot().disposeTensor(this),this.dataId=t.dataId,ot().registerTensor(this)},e}(ut);Object.defineProperty(lt,Symbol.hasInstance,{value:function(t){return t instanceof ut&&null!=t.assign&&t.assign instanceof Function}});var ct,pt,ht,ft,dt,mt=lt.variable;(dt=t.Rank||(t.Rank={})).R0="R0",dt.R1="R1",dt.R2="R2",dt.R3="R3",dt.R4="R4",dt.R5="R5",dt.R6="R6",function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(ct||(ct={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(pt||(pt={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(ht||(ht={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(ft||(ft={}));var gt={float32:ht,int32:ct,bool:pt,complex64:ft};function yt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return gt[t][e]}function vt(t){return yt(t,"int32")}function bt(t,e){if(t.dtype===e.dtype)return[t,e];var n=yt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function wt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof ut)n.push(e);else if(function(t){return Array.isArray(t)||"object"==typeof t}(e)){var i=e;for(var o in i){var a=i[o];r.has(a)||(r.add(a),t(a,n,r))}}}(t,e,new Set),e}var xt,Nt=function(){function t(t,e,n){this.backend=t,this.safeMode=e,this.debugMode=n,this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.scopeStack=[],this.keepTensors=new Set,this.tensorInfo=new WeakMap,this.profiler=new Y(t),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.moveData=function(t){this.write(t,this.readSync(t))},t.prototype.tidy=function(t,e,n){var r=this;void 0===n&&(n=!1);var i,o=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");o=t}return this.scopedRun(function(){return r.startScope(o,n)},function(){return r.endScope(i,n)},function(){return(i=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),i})},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.runKernel=function(t,e,n){var r,i=this,o=[],a=function(t){return o.push(t),t},s=null!=this.activeScope?this.activeScope.name:"",u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return i.customGradientDepth++},function(){return i.customGradientDepth--},function(){r=i.debugMode()?i.profiler.profileKernel(s,function(){return t(i.backend,a)}):t(i.backend,a)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r]};null!=n&&(c.gradient=function(t){return n(t,o)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=function(t,e){var n=this.tensorInfo.has(t.dataId)?this.tensorInfo.get(t.dataId).refCount:0;if(this.numTensors++,"string"===t.dtype&&this.numStringTensors++,0===n){this.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=v(t.shape)*M(t.dtype)),this.tensorInfo.set(t.dataId,{backend:null!=e?e:this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.numBytes+=r,null!=e?e.register(t.dataId,t.shape,t.dtype):this.backend.register(t.dataId,t.shape,t.dtype)}this.tensorInfo.get(t.dataId).refCount++,t instanceof lt||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.registeredVariables[t.name]=t},t.prototype.disposeTensor=function(t){if(this.tensorInfo.has(t.dataId)){this.keepTensors.has(t.id)&&this.keepTensors.delete(t.id),this.numTensors--,"string"===t.dtype&&this.numStringTensors--;var e=this.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.numBytes-=e.bytes),this.numDataBuffers--,e.backend.disposeData(t.dataId),this.tensorInfo.delete(t.dataId)):this.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.registeredVariables){var e=this.registeredVariables[t];this.disposeTensor(e),delete this.registeredVariables[t]}},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.numTensors,t.numDataBuffers=this.numDataBuffers,t.numBytes=this.numBytes,this.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 i(this,void 0,void 0,function(){var e,n;return o(this,function(r){return this.profiling=!0,e=this.numBytes,n=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=t(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-e,this.activeProfile.newTensors=this.numTensors-n,[2,this.activeProfile]})})},t.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},t.prototype.addTapeNode=function(t,e,n){var r={};t.forEach(function(t,e){r[e]=t});var i={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,outputs:[e],gradient:function(t){var e={};return n(t).forEach(function(t,n){e[n]=function(){return t}}),e}};this.activeTape.push(i)},t.prototype.keep=function(t){if(1===this.scopeStack.length&&this.safeMode)throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.");return this.keepTensors.add(t.id),t},t.prototype.startScope=function(t,e){void 0===e&&(e=!1),e&&0===this.gradientScopeCount&&(this.activeTape=[]),e&&this.gradientScopeCount++;var n={track:[],name:"unnamed scope"};t&&(n.name=t),this.scopeStack.push(n),this.activeScope=n},t.prototype.endScope=function(t,e){var n=this;void 0===e&&(e=!1),e&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),i=wt(t);i.forEach(function(t){return r.add(t.id)});for(var o=0;o<this.activeScope.track.length;o++){var a=this.activeScope.track[o];r.has(a.id)||(null!=this.activeTape?i.push(a):a.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?null:this.scopeStack[this.scopeStack.length-1],i.forEach(function(t){!n.keepTensors.has(t.id)&&function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1}(t,s.track)&&n.track(t)})},t.prototype.gradients=function(t,e,n,r){var i=this;if(void 0===r&&(r=!1),d(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+"'");return this.tidy("gradients",function(){var o=t();d(o instanceof ut,function(){return"The result y returned by f() must be a tensor."});var a=function(t,e,n){for(var r={},i={},o=0;o<e.length;o++)r[e[o].id]=!0;for(o=0;o<t.length;o++){var a=(d=t[o]).inputs;for(var s in a){for(var u=a[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,i[d.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var h={};for(o=t.length-1;o>=0;o--)for(a=(d=t[o]).inputs,c=0;c<d.outputs.length;c++)if(p[d.outputs[c].id]){for(var s in a)p[a[s].id]=!0,h[d.id]=!0;break}var f=[];for(o=0;o<t.length;o++){var d;if(i[(d=t[o]).id]&&h[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var y=Object.assign({},d);y.inputs=m,y.outputs=d.outputs,f.push(y)}}return f}(i.activeTape,e,o);if(!r&&0===a.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");var s={};return s[o.id]=null==n?function(t){var e=G(v(t),"float32");return ut.make(t,{values:e})}(o.shape):n,function(t,e){for(var n=function(n){var r=e[n],i=[];if(r.outputs.forEach(function(e){var n=t[e.id];if(null!=n)i.push(n);else{var r=ut.make(e.shape,{values:H(e.size,e.dtype)},e.dtype);i.push(r)}}),null==r.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+r.name+".");var o=r.gradient(1===r.outputs.length?i[0]:i);for(var a in r.inputs){if(!(a in o))throw new Error("Cannot backprop through input "+a+". Available gradients found: "+Object.keys(o)+".");var s=o[a]();if("float32"!==s.dtype)throw new Error("Error in gradient for op "+r.name+". The gradient of input "+a+" must have 'float32' dtype, but has '"+s.dtype+"'");var u=r.inputs[a];if(!b(s.shape,u.shape))throw new Error("Error in gradient for op "+r.name+". The gradient of input '"+a+"' has shape '"+s.shape+"', which does not match the shape of the input '"+u.shape+"'");if(null==t[u.id])t[u.id]=s;else{var l=t[u.id];t[u.id]=l.add(s),l.dispose()}}},r=e.length-1;r>=0;r--)n(r)}(s,a),{value:o,grads:e.map(function(t){return s[t.id]})}},!0)},t.prototype.customGrad=function(t){var e=this;return d(U(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r,i=[],o=0;o<arguments.length;o++)i[o]=arguments[o];return d(i.every(function(t){return t instanceof ut}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}),e.scopedRun(function(){return e.customGradientDepth++},function(){return e.customGradientDepth--},function(){r=e.tidy(t.name,function(){var e=t.apply(void 0,i),r=e.value,o=e.gradFunc;return d(r instanceof ut,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),d(U(o),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n=o,r},!0)}),e.shouldRecord()&&e.addTapeNode(i,r,function(t){var e=n(t),r=Array.isArray(e)?e:[e];return d(r.length===i.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(...)."}),d(r.every(function(t){return t instanceof ut}),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."}),r}),r}},t.prototype.write=function(t,e){var n=this.tensorInfo.get(t);if("string"===n.dtype){var r=L(e);this.numBytes+=r-n.bytes,n.bytes=r}this.backend!==n.backend&&(n.backend.disposeData(t),n.backend=this.backend,this.backend.register(t,n.shape,n.dtype)),this.backend.write(t,e)},t.prototype.readSync=function(t){return this.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.tensorInfo.get(t).backend.read(t)},t.prototype.fromPixels=function(t,e){return this.backend.fromPixels(t,e)},t.prototype.time=function(t){return i(this,void 0,void 0,function(){var e,n;return o(this,function(r){switch(r.label){case 0:return e=K(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=K()-e,[2,n]}})})},t.prototype.track=function(t){if(1===this.scopeStack.length&&this.safeMode)throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.");return null!=this.activeScope&&this.activeScope.track.push(t),t},t.nextTensorId=0,t.nextVariableId=0,t}();!function(t){t[t.NUMBER=0]="NUMBER",t[t.BOOLEAN=1]="BOOLEAN",t[t.STRING=2]="STRING"}(xt||(xt={}));var St,Ct,Et=[{name:"DEBUG",type:xt.BOOLEAN},{name:"IS_BROWSER",type:xt.BOOLEAN},{name:"WEBGL_LAZILY_UNPACK",type:xt.BOOLEAN},{name:"WEBGL_CPU_FORWARD",type:xt.BOOLEAN},{name:"WEBGL_PACK",type:xt.BOOLEAN},{name:"WEBGL_PACK_BATCHNORMALIZATION",type:xt.BOOLEAN},{name:"WEBGL_PACK_CLIP",type:xt.BOOLEAN},{name:"WEBGL_PACK_DEPTHWISECONV",type:xt.BOOLEAN},{name:"WEBGL_PACK_BINARY_OPERATIONS",type:xt.BOOLEAN},{name:"WEBGL_PACK_ARRAY_OPERATIONS",type:xt.BOOLEAN},{name:"WEBGL_PACK_IMAGE_OPERATIONS",type:xt.BOOLEAN},{name:"WEBGL_PACK_REDUCE",type:xt.BOOLEAN},{name:"WEBGL_CONV_IM2COL",type:xt.BOOLEAN},{name:"WEBGL_MAX_TEXTURE_SIZE",type:xt.NUMBER},{name:"WEBGL_NUM_MB_BEFORE_PAGING",type:xt.NUMBER},{name:"WEBGL_MAX_TEXTURES_IN_SHADER",type:xt.NUMBER},{name:"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",type:xt.NUMBER},{name:"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",type:xt.BOOLEAN},{name:"WEBGL_VERSION",type:xt.NUMBER},{name:"WEBGL_RENDER_FLOAT32_ENABLED",type:xt.BOOLEAN},{name:"WEBGL_DOWNLOAD_FLOAT_ENABLED",type:xt.BOOLEAN},{name:"WEBGL_FENCE_API_ENABLED",type:xt.BOOLEAN},{name:"WEBGL_SIZE_UPLOAD_UNIFORM",type:xt.NUMBER},{name:"BACKEND",type:xt.STRING},{name:"EPSILON",type:xt.NUMBER},{name:"PROD",type:xt.BOOLEAN},{name:"TENSORLIKE_CHECK_SHAPE_CONSISTENCY",type:xt.BOOLEAN},{name:"DEPRECATION_WARNINGS_ENABLED",type:xt.BOOLEAN}];function It(t){try{if(null!=u(t))return!0}catch(t){return!1}return!1}var kt="tfjsflags";function At(){var t={};if("undefined"==typeof window||void 0===window.location||void 0===window.location.search)return t;var e=function(t){var e={};return t.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(t){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];return function(t,e,n){t[decodeURIComponent(e)]=decodeURIComponent(n||"")}(e,n[0],n[1]),n.join("=")}),e}(window.location.search);if(kt in e){var n={};e[kt].split(",").forEach(function(t){var e=t.split(":"),r=e[0],i=e[1];n[r]=i}),Et.forEach(function(e){e.name in n&&(console.log("Setting feature override from URL "+e.name+": "+n[e.name]),e.type===xt.NUMBER?t[e.name]=+n[e.name]:e.type===xt.BOOLEAN?t[e.name]="true"===n[e.name]:e.type===xt.STRING?t[e.name]=n[e.name]:console.warn("Unknown URL param: "+e.name+"."))})}return t}function Tt(t,e){return null!=t.getExtension(e)}function Rt(t,e){var n=t.createFramebuffer(),r=t.createTexture();t.bindTexture(t.TEXTURE_2D,r);var i=2===e?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,i,1,1,0,t.RGBA,t.FLOAT,null),t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,r,0);var o=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(r),t.deleteFramebuffer(n),o}var Dt=600;var Ot,_t=function(){function t(t){this.features={},this.registry={},null!=t&&(this.features=t),this.get("DEBUG")&&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.")}return t.setBackend=function(t,e){if(void 0===e&&(e=!1),!(t in Bt.registry))throw new Error("Backend name '"+t+"' not found in registry");Bt.engine.backend=Bt.findBackend(t),Bt.backendName=t},t.getBackend=function(){return Bt.initEngine(),Bt.backendName},t.disposeVariables=function(){Bt.engine.disposeVariables()},t.memory=function(){return Bt.engine.memory()},t.profile=function(t){return Bt.engine.profile(t)},t.tidy=function(t,e){return Bt.engine.tidy(t,e)},t.dispose=function(t){wt(t).forEach(function(t){return t.dispose()})},t.keep=function(t){return Bt.engine.keep(t)},t.time=function(t){return Bt.engine.time(t)},t.prototype.get=function(t){return t in this.features?this.features[t]:(this.features[t]=this.evaluateFeature(t),this.features[t])},t.prototype.getFeatures=function(){return this.features},t.prototype.set=function(t,e){this.features[t]=e},t.prototype.getBestBackendName=function(){var t=this;if(0===Object.keys(this.registry).length)throw new Error("No backend found in registry.");return Object.keys(this.registry).map(function(e){return{name:e,entry:t.registry[e]}}).sort(function(t,e){return e.entry.priority-t.entry.priority})[0].name},t.prototype.evaluateFeature=function(t){if("DEBUG"===t)return!1;if("IS_BROWSER"===t)return"undefined"!=typeof window;if("IS_NODE"===t)return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node;if("IS_CHROME"===t)return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor);if("WEBGL_CPU_FORWARD"===t)return!0;if("WEBGL_PACK"===t)return 0!==this.get("WEBGL_VERSION");if("WEBGL_PACK_BATCHNORMALIZATION"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_CLIP"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_DEPTHWISECONV"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_BINARY_OPERATIONS"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_ARRAY_OPERATIONS"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_IMAGE_OPERATIONS"===t)return this.get("WEBGL_PACK");if("WEBGL_PACK_REDUCE"===t)return this.get("WEBGL_PACK");if("WEBGL_LAZILY_UNPACK"===t)return this.get("WEBGL_PACK");if("WEBGL_CONV_IM2COL"===t)return this.get("WEBGL_PACK");if("WEBGL_NUM_MB_BEFORE_PAGING"===t)return this.get("PROD")||!this.get("IS_BROWSER")?Number.POSITIVE_INFINITY:window.screen.height*window.screen.width*window.devicePixelRatio*Dt/1024;if("WEBGL_MAX_TEXTURE_SIZE"===t)return function(t){if(null==St){var e=u(t);St=e.getParameter(e.MAX_TEXTURE_SIZE)}return St}(this.get("WEBGL_VERSION"));if("WEBGL_MAX_TEXTURES_IN_SHADER"===t)return function(t){if(null==Ct){var e=u(t);Ct=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,Ct)}(this.get("WEBGL_VERSION"));if("IS_TEST"===t)return!1;if("BACKEND"===t)return this.getBestBackendName();if("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"===t){var e=this.get("WEBGL_VERSION");return 0===e?0:function(t){if(0===t)return 0;var e=u(t);return Tt(e,"EXT_disjoint_timer_query_webgl2")&&2===t?2:Tt(e,"EXT_disjoint_timer_query")?1:0}(e)}if("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE"===t)return this.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!function(){var t=navigator.userAgent||navigator.vendor||window.opera;return/(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))}();if("HAS_WEBGL"===t)return this.get("WEBGL_VERSION")>0;if("WEBGL_VERSION"===t)return It(2)?2:It(1)?1:0;if("WEBGL_RENDER_FLOAT32_ENABLED"===t)return function(t){if(0===t)return!1;var e=u(t);if(1===t){if(!Tt(e,"OES_texture_float"))return!1}else if(!Tt(e,"EXT_color_buffer_float"))return!1;return Rt(e,t)}(this.get("WEBGL_VERSION"));if("WEBGL_DOWNLOAD_FLOAT_ENABLED"===t)return function(t){if(0===t)return!1;var e=u(t);if(1===t){if(!Tt(e,"OES_texture_float"))return!1;if(!Tt(e,"WEBGL_color_buffer_float"))return!1}else if(!Tt(e,"EXT_color_buffer_float"))return!1;return Rt(e,t)}(this.get("WEBGL_VERSION"));if("WEBGL_FENCE_API_ENABLED"===t)return function(t){return 2===t&&null!=u(t).fenceSync}(this.get("WEBGL_VERSION"));if("WEBGL_SIZE_UPLOAD_UNIFORM"===t)return this.get("WEBGL_RENDER_FLOAT32_ENABLED")?4:0;if("TEST_EPSILON"===t)return 32===this.backend.floatPrecision()?.001:.1;if("EPSILON"===t)return 32===this.backend.floatPrecision()?1e-7:1e-4;if("PROD"===t)return!1;if("TENSORLIKE_CHECK_SHAPE_CONSISTENCY"===t)return!this.get("PROD");if("DEPRECATION_WARNINGS_ENABLED"===t)return!0;throw new Error("Unknown feature "+t+".")},t.prototype.setFeatures=function(t){this.features=Object.assign({},t)},t.prototype.reset=function(){this.features=At(),null!=this.globalEngine&&(this.globalEngine=null)},Object.defineProperty(t.prototype,"backend",{get:function(){return this.engine.backend},enumerable:!0,configurable:!0}),t.prototype.findBackend=function(t){return t in this.registry?this.registry[t].backend:null},t.prototype.registerBackend=function(t,e,n){var r=this;if(void 0===n&&(n=1),t in this.registry)return console.warn(t+" backend was already registered. Reusing existing backend"),!1;try{var i=e();return i.setDataMover({moveData:function(t){return r.engine.moveData(t)}}),this.registry[t]={backend:i,priority:n},!0}catch(e){return console.warn("Registration of backend "+t+" failed"),console.warn(e.stack||e.message),!1}},t.prototype.removeBackend=function(t){if(!(t in this.registry))throw new Error(t+" backend not found in registry");this.registry[t].backend.dispose(),delete this.registry[t]},Object.defineProperty(t.prototype,"engine",{get:function(){return this.initEngine(),this.globalEngine},enumerable:!0,configurable:!0}),t.prototype.initEngine=function(){var t=this;if(null==this.globalEngine){this.backendName=this.get("BACKEND");var e=this.findBackend(this.backendName);this.globalEngine=new Nt(e,!1,function(){return t.get("DEBUG")})}},Object.defineProperty(t.prototype,"global",{get:function(){return Mt()},enumerable:!0,configurable:!0}),t}();function Mt(){if(null==Ot){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof global)t=global;else{if("undefined"==typeof process)throw new Error("Could not find a global object");t=process}Ot=t}return Ot}function Lt(){Bt.set("PROD",!0)}function Ft(){Bt.set("DEBUG",!0)}function zt(){Bt.set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Pt(t){Bt.get("DEPRECATION_WARNINGS_ENABLED")&&console.warn(t+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}!function(t){st=t}(Pt);var Bt=function(){var t=Mt();return null==t.ENV&&(t.ENV=new _t(At())),function(t){ot=t}(function(){return t.ENV.engine}),t.ENV}(),Ut=Object.freeze({EPSILON_FLOAT16:1e-4,EPSILON_FLOAT32:1e-7,Environment:_t,enableProdMode:Lt,enableDebugMode:Ft,disableDeprecationWarnings:zt,deprecationWarn:Pt,ENV:Bt});function Wt(t,e){if(d(U(t),function(){return"The f passed in variableGrads(f) must be a function"}),d(null==e||Array.isArray(e)&&e.every(function(t){return t instanceof lt}),function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"}),null==e)for(var n in e=[],Bt.engine.registeredVariables)e.push(Bt.engine.registeredVariables[n]);var r=e.length;d((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 "+r+" variables is trainable."});var i=Bt.engine.gradients(t,e,null,!0),o=i.value,a=i.grads;d(a.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()."}),d(0===o.rank,function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+o.rank+" tensor"});var s={};return e.forEach(function(t,e){null!=a[e]&&(s[t.name]=a[e])}),{value:o,grads:s}}function Vt(t){return Bt.engine.customGrad(t)}function jt(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 qt=_t.tidy,Gt=_t.keep,Ht=_t.dispose,Kt=_t.time,$t=_t.profile;function Xt(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];Bt.get("IS_TEST")||console.warn.apply(console,t)}function Yt(t,e,n,r){void 0===r&&(r=!0);var i=[];if(r)(i=i.concat(e.slice(0))).push(t[0]/n),i=i.concat(t.slice(1));else{i=i.concat(t[0]);for(var o=e.length,a=0;a<o;++a)i=i.concat([t[a+1]/e[a],e[a]]);i=i.concat(t.slice(o+1))}return i}function Jt(t,e,n){void 0===n&&(n=!0);var r=[];if(n){r.push(e);for(var i=e+1;i<t;++i)i<=2*e?(r.push(i),r.push(i-(e+1))):r.push(i)}else{var o=[],a=[];for(i=1;i<t;++i)i>=2*e+1||i%2==1?a.push(i):o.push(i);r.push.apply(r,o),r.push(0),r.push.apply(r,a)}return r}function Zt(t,e,n,r){void 0===r&&(r=!0);var i=[];r?i.push(t[0]/n):i.push(t[0]*n);for(var o=1;o<t.length;++o)o<=e.length?r?i.push(e[o-1]*t[o]):i.push(t[o]/e[o-1]):i.push(t[o]);return i}function Qt(t,e){for(var n=[0],r=0;r<e;++r)n.push(t[r][0]);return n}function te(t,e,n){for(var r=t.slice(0,1),i=0;i<n;++i)r.push(t[i+1]-e[i][0]-e[i][1]);return r}function ee(t,e){for(var n=0;n<t.length;++n)if(t[t.length-n-1]!==e-1-n)return!1;return!0}function ne(t,e){for(var n=[],r=t.length,i=0;i<r;i++)-1===e.indexOf(i)&&n.push(t[i]);return[n,e.map(function(e){return t[e]})]}function re(t,e){return function(t,e,n){for(var r=t.length+e.length,i=[],o=0,a=0,s=0;s<r;s++)-1===n.indexOf(s)?i.push(t[o++]):i.push(e[a++]);return i}(t,e.map(function(t){return 1}),e)}function ie(t,e,n){d(ee(e,n),function(){return t+" supports only inner-most axes for now. Got axes "+e+" and rank-"+n+" input."})}function oe(t,e){if(ee(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 ae(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 se(t,e){for(var n=[],r=e-t;r<e;++r)n.push(r);return n}function ue(t,e){for(var n=t[0].slice(),r=1;r<t.length;r++)n[e]+=t[r][e];return n}function le(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],i=1,o=0;o<n.length-1;++o)i*=n[o];var a=t.shape,s=n.slice();s.pop();var u=1;for(o=r;o<t.rank;++o)u*=a[o],s.push(a[o]);var l=V(t.shape).map(function(t){return t/u}).concat([1]).slice(0,r);return[s,i,u,l]}var ce=30;function pe(t){return t<=ce?t:W(t,Math.floor(Math.sqrt(t)))}function he(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,i=e.rank>1?e.rank-1:1,o="Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: "+n.shape+", indices.shape: "+e.shape+", shape: "+t+", sliceDim: "+r+", and batchDim: "+i+".";if(n.rank<i)throw new Error(o+" update.rank < "+i+". ");if(t.length<r+(n.rank-i))throw new Error(o+" Output shape length < "+(r+(n.rank-i)));if(n.rank!==i+t.length-r)throw new Error(o+" update.rank != "+(i+t.length-r));for(var a=0;a<i;++a)if(n.shape[a]!==e.shape[a])throw new Error(o+" updates.shape["+a+"] ("+n.shape[a]+") != indices.shape["+a+"] ("+e.shape[a]+").");for(a=0;a<n.rank-i;++a)if(n.shape[a+i]!==t[a+r])throw new Error(o+" updates.shape["+(a+i)+"] ("+n.shape[a+i]+") != shape["+(a+i)+"] ("+t[a+i]+")")}(n,e,t)}function fe(t,e,n){for(var r=e.rank>1?e.shape[e.rank-1]:1,i=n.length,o=1,a=r;a<i;++a)o*=n[a];var s=r<1?1:r;return{sliceRank:r,numUpdates:e.size/s,sliceSize:o,strides:V(n.slice(0,r)).concat([1]),outputSize:v(n)}}function de(t,e,n,r,i,o,a,s,u){if(void 0===i&&(i=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==a)throw new Error("ellipsis mask is not yet supported");if(0!==s)throw new Error("new axis mask is not yet supported");for(var l=[],c=[],p=[],h=0;h<t.length;h++)l[h]=me(i,e,r,t,h),c[h]=ge(o,n,r,t,h),u&1<<h&&(c[h]=l[h]+1,p.push(h));var f=new Array(t.length).fill(0);return f=f.map(function(t,e){for(var n=0,i=l[e];!(r[e]>0?i>=c[e]:i<=c[e]);i+=r[e])n+=1;return n}),[l,f,p]}function me(t,e,n,r,i){var o=e[i];t&1<<i&&(o=n[i]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var a=r[i];return o<0&&(o+=a),c(0,o,a-1)}function ge(t,e,n,r,i){var o=e[i];t&1<<i&&(o=n[i]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var a=r[i];return o<0&&(o+=a),n[i]>0?c(0,o,a):c(-1,o,a-1)}function ye(t,e,n){for(var r=n.length,i=0;i<n.length;i++)if(n[i]>1){r=i;break}for(i=r+1;i<n.length;i++)if(e[i]>0||n[i]!==t[i])return!1;return!0}function ve(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}function be(t){var e=t;if(_(t))return[t.length];if(!Array.isArray(t))return[];for(var n=[];Array.isArray(e)||_(e);)n.push(e.length),e=e[0];return Array.isArray(t)&&Bt.get("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&function t(e,n,r){if(r=r||[],Array.isArray(e)||_(e)){d(n.length>0,function(){return"Element arr["+r.join("][")+"] should be a primitive, but is an array of "+e.length+" elements"}),d(e.length===n[0],function(){return"Element arr["+r.join("][")+"] should have "+n[0]+" elements, but has "+e.length+" elements"});for(var i=n.slice(1),o=0;o<e.length;++o)t(e[o],i,r.concat(o))}else d(0===n.length,function(){return"Element arr["+r.join("][")+"] is a primitive, but should be an array/TypedArray of "+n[0]+" elements"})}(t,n,[]),n}function we(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 xe(t,e,n,r){if(void 0===r&&(r="numeric"),t instanceof ut)return we(r,t.dtype,e,n),t;var i=B(t);if("string"!==i&&["bool","int32","float32"].indexOf(r)>=0&&(i=r),we(r,i,e,n),!_(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t)throw new Error("Argument '"+e+"' passed to '"+n+"' must be a Tensor or TensorLike, but got '"+t.constructor.name+"'");var o=be(t);_(t)||Array.isArray(t)||(t=[t]);var a="string"!==i?j(t,i,Bt.get("DEBUG")):y(t);return ut.make(o,{values:a},i)}function Ne(t,e,n){if(!Array.isArray(t))throw new Error("Argument "+e+" passed to "+n+" must be a `Tensor[]` or `TensorLike[]`");return t.map(function(t,r){return xe(t,e+"["+r+"]",n)})}function Se(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 i=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];Bt.engine.startScope(n);try{var i=r.apply(void 0,t);return i instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),Bt.engine.endScope(i),i}catch(t){throw Bt.engine.endScope(null),t}};return Object.defineProperty(i,"name",{value:n,configurable:!0}),i}var Ce=Se({softmax_:function(t,e){void 0===e&&(e=-1);var n=xe(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 Vt(function(t){var n=t.logSumExp([e],!0),r=t.toFloat().sub(n).exp();return{value:r,gradFunc:function(t){var n=t.mul(r);return n.sub(n.sum([e],!0).mul(r))}}})(n)}}),Ee=Se({logSoftmax_:function(t,e){void 0===e&&(e=-1);var n=xe(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 Vt(function(t){var n=t.max(e,!0),r=t.sub(n),i=r.toFloat().sub(r.exp().sum(e,!0).log());return{value:i,gradFunc:function(t){var n=i.exp();return t.sub(t.sum(e,!0).mul(n))}}})(n)}});var Ie=Se({complex_:function(t,e){var n=xe(t,"real","complex"),r=xe(e,"imag","complex");return m(n.shape,r.shape,"real and imag shapes, "+n.shape+" and "+r.shape+", must match in call to tf.complex()."),Bt.engine.runKernel(function(t){return t.complex(n,r)},{$real:n,$imag:r})}}),ke=Se({real_:function(t){var e=xe(t,"input","real");return Bt.engine.runKernel(function(t){return t.real(e)},{$input:e})}}),Ae=Se({imag_:function(t){var e=xe(t,"input","imag");return Bt.engine.runKernel(function(t){return t.imag(e)},{$input:e})}});function Te(t,e,n){if(null==n&&(n=B(t)),"complex64"===n)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!_(t)&&!Array.isArray(t)&&"number"!=typeof t&&"boolean"!=typeof t&&"string"!=typeof t)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");var r=be(t);if(null!=e){$(e);var i=v(e),o=v(r);d(i===o,function(){return"Based on the provided shape, ["+e+"], the tensor should have "+i+" values but has "+o});for(var a=0;a<r.length;++a){var s=r[a],u=a!==r.length-1||s!==v(e.slice(a));d(r[a]===e[a]||!u,function(){return"Error creating a new Tensor. Inferred shape ("+r+") does not match the provided shape ("+e+"). "})}}return _(t)||Array.isArray(t)||(t=[t]),e=e||r,t="string"!==n?j(t,n,Bt.get("DEBUG")):y(t),ut.make(e,{values:t},n)}function Re(t,e){if((_(t)||Array.isArray(t))&&"complex64"!==e)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");return Te(t,[],e)}function De(t,e){g(t);var n=be(t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return Te(t,n,e)}function Oe(t,e,n){if(g(t),null!=e&&2!==e.length)throw new Error("tensor2d() requires shape to have two numbers");var r=be(t);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 Te(t,e=e||r,n)}function _e(t,e,n){if(g(t),null!=e&&3!==e.length)throw new Error("tensor3d() requires shape to have three numbers");var r=be(t);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 Te(t,e=e||r,n)}function Me(t,e,n){if(g(t),null!=e&&4!==e.length)throw new Error("tensor4d() requires shape to have four numbers");var r=be(t);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 Te(t,e=e||r,n)}function Le(t,e,n){if(g(t),null!=e&&5!==e.length)throw new Error("tensor5d() requires shape to have five numbers");var r=be(t);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 Te(t,e=e||r,n)}function Fe(t,e,n){if(g(t),null!=e&&6!==e.length)throw new Error("tensor6d() requires shape to have six numbers");var r=be(t);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 Te(t,e=e||r,n)}function ze(t,e){if(void 0===e&&(e="float32"),"complex64"===e){var n=ze(t,"float32"),r=ze(t,"float32");return Ie(n,r)}var i=G(v(t),e);return ut.make(t,{values:i},e)}function Pe(t,e){if(void 0===e&&(e="float32"),"complex64"===e){var n=Pe(t,"float32"),r=Pe(t,"float32");return Ie(n,r)}var i=H(v(t),e);return ut.make(t,{values:i},e)}function Be(t,e,n){return Bt.engine.runKernel(function(r){return r.fill(t,e,n)},{})}function Ue(t,e,n){if(0===n)throw new Error("Cannot request zero samples");var r=(e-t)/(n-1),i=H(n,"float32");i[0]=t;for(var o=1;o<i.length;o++)i[o]=i[o-1]+r;return De(i,"float32")}function We(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 Pe([0],r);var i=H(Math.abs(Math.ceil((e-t)/n)),r);e<t&&1===n&&(n=-1),i[0]=t;for(var o=1;o<i.length;o++)i[o]=i[o-1]+n;return De(i,r)}var Ve=Se({onesLike_:function(t){var e=xe(t,"x","onesLike");return Bt.engine.runKernel(function(t){return t.onesLike(e)},{$x:e},null)}}),je=Se({zerosLike_:function(t){var e=xe(t,"x","zerosLike");return Bt.engine.runKernel(function(t){return t.zerosLike(e)},{$x:e},null)}}),qe=function(){function t(t){this.dataMover=t,this.data=new WeakMap}return t.prototype.get=function(t){return this.data.has(t)||this.dataMover.moveData(t),this.data.get(t)},t.prototype.set=function(t,e){this.data.set(t,e)},t.prototype.has=function(t){return this.data.has(t)},t.prototype.delete=function(t){return this.data.delete(t)},t}(),Ge=function(){function t(){}return t.prototype.time=function(t){throw new Error("Not yet implemented.")},t.prototype.read=function(t){throw new Error("Not yet implemented.")},t.prototype.readSync=function(t){throw new Error("Not yet implemented.")},t.prototype.disposeData=function(t){throw new Error("Not yet implemented.")},t.prototype.write=function(t,e){throw new Error("Not yet implemented.")},t.prototype.fromPixels=function(t,e){throw new Error("Not yet implemented.")},t.prototype.register=function(t,e,n){throw new Error("Not yet implemented.")},t.prototype.memory=function(){throw new Error("Not yet implemented.")},t.prototype.floatPrecision=function(){throw new Error("Not yet implemented")},t.prototype.batchMatMul=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.fusedBatchMatMul=function(t,e,n,r,i,o){throw new Error("Not yet implemented")},t.prototype.slice=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s,u){throw new Error("Not yet implemented")},t.prototype.unstack=function(t,e){throw new Error("Not yet implemented")},t.prototype.reverse=function(t,e){throw new Error("Not yet implemented")},t.prototype.concat=function(t,e){throw new Error("Not yet implemented")},t.prototype.neg=function(t){throw new Error("Not yet implemented")},t.prototype.add=function(t,e){throw new Error("Not yet implemented")},t.prototype.addN=function(t){throw new Error("Not yet implemented")},t.prototype.subtract=function(t,e){throw new Error("Not yet implemented")},t.prototype.multiply=function(t,e){throw new Error("Not yet implemented")},t.prototype.realDivide=function(t,e){throw new Error("Not yet implemented")},t.prototype.floorDiv=function(t,e){throw new Error("Not yet implemented")},t.prototype.sum=function(t,e){throw new Error("Not yet implemented")},t.prototype.prod=function(t,e){throw new Error("Not yet implemented")},t.prototype.unsortedSegmentSum=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.argMin=function(t,e){throw new Error("Not yet implemented")},t.prototype.argMax=function(t,e){throw new Error("Not yet implemented")},t.prototype.equal=function(t,e){throw new Error("Not yet implemented")},t.prototype.notEqual=function(t,e){throw new Error("Not yet implemented")},t.prototype.less=function(t,e){throw new Error("Not yet implemented")},t.prototype.lessEqual=function(t,e){throw new Error("Not yet implemented")},t.prototype.greater=function(t,e){throw new Error("Not yet implemented")},t.prototype.greaterEqual=function(t,e){throw new Error("Not yet implemented")},t.prototype.logicalNot=function(t){throw new Error("Not yet implemented")},t.prototype.logicalAnd=function(t,e){throw new Error("Not yet implemented")},t.prototype.logicalOr=function(t,e){throw new Error("Not yet implemented")},t.prototype.where=function(t){throw new Error("Not yet implemented")},t.prototype.select=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.topk=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.min=function(t,e){throw new Error("Not yet implemented")},t.prototype.minimum=function(t,e){throw new Error("Not yet implemented")},t.prototype.mod=function(t,e){throw new Error("Not yet implemented")},t.prototype.max=function(t,e){throw new Error("Not yet implemented")},t.prototype.maximum=function(t,e){throw new Error("Not yet implemented")},t.prototype.all=function(t,e){throw new Error("Not yet implemented")},t.prototype.any=function(t,e){throw new Error("Not yet implemented")},t.prototype.squaredDifference=function(t,e){throw new Error("Not yet implemented")},t.prototype.ceil=function(t){throw new Error("Not yet implemented")},t.prototype.floor=function(t){throw new Error("Not yet implemented")},t.prototype.round=function(t){throw new Error("Not yet implemented")},t.prototype.sign=function(t){throw new Error("Not yet implemented")},t.prototype.pow=function(t,e){throw new Error("Not yet implemented")},t.prototype.exp=function(t){throw new Error("Not yet implemented")},t.prototype.expm1=function(t){throw new Error("Not yet implemented")},t.prototype.log=function(t){throw new Error("Not yet implemented")},t.prototype.log1p=function(t){throw new Error("Not yet implemented")},t.prototype.sqrt=function(t){throw new Error("Not yet implemented")},t.prototype.rsqrt=function(t){throw new Error("Not yet implemented")},t.prototype.square=function(t){throw new Error("Not yet implemented")},t.prototype.reciprocal=function(t){throw new Error("Not yet implemented")},t.prototype.relu=function(t){throw new Error("Not yet implemented")},t.prototype.prelu=function(t,e){throw new Error("Not yet implemented")},t.prototype.elu=function(t){throw new Error("Not yet implemented")},t.prototype.eluDer=function(t,e){throw new Error("Not yet implemented")},t.prototype.selu=function(t){throw new Error("Not yet implemented")},t.prototype.int=function(t){throw new Error("Not yet implemented")},t.prototype.clip=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.abs=function(t){throw new Error("Not yet implemented")},t.prototype.complexAbs=function(t){throw new Error("Not yet implemented")},t.prototype.sigmoid=function(t){throw new Error("Not yet implemented")},t.prototype.softplus=function(t){throw new Error("Not yet implemented")},t.prototype.sin=function(t){throw new Error("Not yet implemented")},t.prototype.cos=function(t){throw new Error("Not yet implemented")},t.prototype.tan=function(t){throw new Error("Not yet implemented")},t.prototype.asin=function(t){throw new Error("Not yet implemented")},t.prototype.acos=function(t){throw new Error("Not yet implemented")},t.prototype.atan=function(t){throw new Error("Not yet implemented")},t.prototype.atan2=function(t,e){throw new Error("Not yet implemented")},t.prototype.sinh=function(t){throw new Error("Not yet implemented")},t.prototype.cosh=function(t){throw new Error("Not yet implemented")},t.prototype.tanh=function(t){throw new Error("Not yet implemented")},t.prototype.asinh=function(t){throw new Error("Not yet implemented")},t.prototype.acosh=function(t){throw new Error("Not yet implemented")},t.prototype.atanh=function(t){throw new Error("Not yet implemented")},t.prototype.erf=function(t){throw new Error("Not yet implemented")},t.prototype.step=function(t,e){throw new Error("Not yet implemented")},t.prototype.conv2d=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv2dDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv2dDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2D=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2DDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3d=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3dDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3dDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.maxPool=function(t,e){throw new Error("Not yet implemented")},t.prototype.maxPoolBackprop=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.avgPool=function(t,e){throw new Error("Not yet implemented")},t.prototype.avgPoolBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.reshape=function(t,e){throw new Error("Not yet implemented")},t.prototype.cast=function(t,e){throw new Error("Not yet implemented")},t.prototype.tile=function(t,e){throw new Error("Not yet implemented")},t.prototype.pad=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.transpose=function(t,e){throw new Error("Not yet implemented")},t.prototype.gather=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.gatherND=function(t,e){throw new Error("Not yet implemented")},t.prototype.scatterND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.batchToSpaceND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.spaceToBatchND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.resizeBilinear=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.resizeBilinearBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.resizeNearestNeighbor=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.batchNormalization=function(t,e,n,r,i,o){throw new Error("Not yet implemented")},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){throw new Error("Not yet implemented")},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){throw new Error("Not yet implemented")},t.prototype.multinomial=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.oneHot=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.cumsum=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){throw new Error("Not yet implemented")},t.prototype.fft=function(t){throw new Error("Not yet implemented")},t.prototype.ifft=function(t){throw new Error("Not yet implemented")},t.prototype.complex=function(t,e){throw new Error("Not yet implemented")},t.prototype.real=function(t){throw new Error("Not yet implemented")},t.prototype.imag=function(t){throw new Error("Not yet implemented")},t.prototype.cropAndResize=function(t,e,n,r,i,o){throw new Error("Not yet implemented")},t.prototype.depthToSpace=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.split=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.sparseToDense=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.fill=function(t,e,n){throw new Error("Not yet implemented.")},t.prototype.onesLike=function(t){throw new Error("Not yet implemented")},t.prototype.zerosLike=function(t){throw new Error("Not yet implemented")},t.prototype.setDataMover=function(t){throw new Error("Not yet implemented")},t.prototype.dispose=function(){throw new Error("Not yet implemented")},t}();function He(t,e,n){if("complex64"===e){if("complex64"===t.dtype)return t.clone();var r=Pe(t.shape),i=t.toFloat(),o=n.complex(i,r);return r.dispose(),i.dispose(),o}if(!O(t.dtype,e))return ut.make(t.shape,{dataId:t.dataId},e);if("complex64"===t.dtype){var a=n.real(t);return o=a.cast(e),a.dispose(),o}if("int32"===e)return n.int(t);if("bool"===e){var s=Re(0,t.dtype);return o=n.notEqual(t,s),s.dispose(),o}throw new Error("Error in Cast: unknown dtype argument ("+e+")")}function Ke(t,e){return ut.make(e,{dataId:t.dataId},t.dtype)}function $e(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 Xe(t,e){return{real:t[2*e],imag:t[2*e+1]}}function Ye(t,e,n,r){t[2*r]=e,t[2*r+1]=n}function Je(t,e,n){var r=(n?2:-2)*Math.PI*(t/e);return{real:Math.cos(r),imag:Math.sin(r)}}function Ze(t,e,n,r,i){for(var o=Array.from(e).map(function(t,e){return{score:t,boxIndex:e}}).filter(function(t){return t.score>i}).sort(function(t,e){return e.score-t.score}),a=[],s=0;s<o.length;s++){var u=o[s],l=u.score,c=u.boxIndex;if(l<i)break;for(var p=!1,h=a.length-1;h>=0;--h)if(Qe(t,c,a[h])>=r){p=!0;break}if(!p&&(a.push(c),a.length>=n))break}return De(a,"int32")}function Qe(t,e,n){var r=t.subarray(4*e,4*e+4),i=t.subarray(4*n,4*n+4),o=Math.min(r[0],r[2]),a=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(i[0],i[2]),c=Math.min(i[1],i[3]),p=Math.max(i[0],i[2]),h=Math.max(i[1],i[3]),f=(s-o)*(u-a),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(o,l),g=Math.max(a,c),y=Math.min(s,p),v=Math.min(u,h),b=Math.max(y-m,0)*Math.max(v-g,0);return b/(f+d-b)}function tn(t,e,n){var r=new Array(t.rank).fill(0),i=t.shape.slice();return e.map(function(e){i[n]=e;var o=t.slice(r,i);return r[n]+=e,o})}function en(t,e,n,r,i){for(var o=e[e.length-1],a=[t.length/o,o],s=a[0],u=a[1],l=A(n,s*r),c=A("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,y=l.subarray(g,g+r),v=c.subarray(g,g+r);for(m=0;m<r;m++)y[m]=d[m].value,v[m]=d[m].index}var b=e.slice();return b[b.length-1]=r,[Te(l,b,n),Te(c,b,"int32")]}var nn=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,i=t.batchSize,o=t.inSize,a=Math.ceil(o/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,a];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function rn(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function on(t,e){return 1===e?[t]:rn(t,e)}function an(t,e){for(var n=t.length,r=[],i=0;i<n;i++){var o=n-1-i,a=t[o]||1;(e[e.length-1-i]||1)>1&&1===a&&r.unshift(o)}return r}function sn(t,e){for(var n=[],r=0;r<e.length;r++){var i=t[t.length-r-1],o=e.length-r-1,a=e[o];(null==i||1===i&&a>1)&&n.unshift(o)}return n}function un(t,e){for(var n=[],r=Math.max(t.length,e.length),i=0;i<r;i++){var o=t[t.length-i-1];null==o&&(o=1);var a=e[e.length-i-1];if(null==a&&(a=1),1===o)n.unshift(a);else if(1===a)n.unshift(o);else{if(o!==a)throw Error("Operands could not be broadcast together with shapes "+t+" and "+e+".");n.unshift(o)}}return n}function ln(){var t,e,n,r,i,o,a,s;return 2===Bt.get("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",i="texture",o="outputColor",a="out vec4 outputColor;",s="\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",i="texture2D",o="gl_FragColor",a="",s="\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:i,output:o,defineOutput:a,defineRound:s}}function cn(t,e,n){void 0===n&&(n="index");var r=V(e);return r.map(function(e,i){return"int "+t[i]+" = "+n+" / "+e+"; "+(i===r.length-1?"int "+t[i+1]+" = "+n+" - "+t[i]+" * "+e:"index -= "+t[i]+" * "+e)+";"}).join("")}function pn(t){return 1===t.length?""+t[0]:"vec"+t.length+"("+t.join(",")+")"}function hn(t,e,n,r){var i=[];t.forEach(function(t){var e=v(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?i.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(i.push("uniform sampler2D "+t.name+";"),i.push("uniform int offset"+t.name+";"))});var o,a,s=i.join("\n"),u=t.map(function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?dn(t):fn(t);var i=t.shapeInfo.logicalShape,o=e.logicalShape;return i.length<=o.length&&(r+=n?function(t,e){var n,r=t.name,i=r.charAt(0).toUpperCase()+r.slice(1),o="get"+i+"AtOutCoords",a=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=an(t.shapeInfo.logicalShape,e.logicalShape),l=xn(s),c=s-a,p=["x","y","z","w","u","v"];n=0===a?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+c]+" = 0;"}).join("\n");var h="";h=s<2&&a>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+c]}).join(", ");var f="return outputValue;";if(1===a&&s>1)f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";else if(0===a&&s>0)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var d=a-2,m=a-1;u.indexOf(d)>-1&&u.indexOf(m)>-1?f="return vec4(outputValue.x);":u.indexOf(d)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(m)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}return"\n    vec4 "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+h+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",o=e.texShape,a=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&b(a,o))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=xn(u),c=an(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+i+"() {\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=ln(),p=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(c),h=function(t){var e="";return e=Bt.get("PROD")?"\n      bool isNaN(float val) {\n        return false;\n      }\n\n      bool hasNaN(vec4 values) {\n        return false;\n      }\n    ":"\n      bool isNaN(float val) {\n        return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\n      }\n\n      bvec4 isNaN(vec4 val) {\n        return bvec4(\n          isNaN(val.x),\n          isNaN(val.y),\n          isNaN(val.z),\n          isNaN(val.w)\n        );\n      }\n\n      bool hasNaN(vec4 values) {\n        return any(bvec4(\n          isNaN(values.x),\n          isNaN(values.y),\n          isNaN(values.z),\n          isNaN(values.w)\n        ));\n      }\n    ",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    "+e+"\n\n    float getNaN(vec4 values) {\n      return dot(vec4(1), values);\n    }\n\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\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    "+mn+"\n    "+gn+"\n    "+yn+"\n  "}(c);return e.isPacked?(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 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(b(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 function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[2]/2),i=r*Math.ceil(t[1]/2);return"\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\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  "}(t,e);default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2),o=i,a="",s="b, r, c",u=2;u<t.length-1;u++)a="\n      int b"+u+" = index / "+(o*=t[t.length-u-1])+";\n      index -= b"+u+" * "+o+";\n    "+a,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+a+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}}(e.logicalShape,l),a=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(c)):(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return b(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 function(t,e){var n=cn(["r","c","d"],t);return"\n    ivec3 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 ivec3(r, c, d);\n    }\n  "}(t,e);case 4:return function(t,e){var n=cn(["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=cn(["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=cn(["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")}}(e.logicalShape,l),a=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(c)),r&&(h+=vn),[h,p,a,s,o,u,n].join("\n")}function fn(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===i&&1===o)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=t.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+a[0]+", "+a[1]+", "+bn(e)+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);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        "+wn(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===o&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=bn(e);return 1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+a+") + 0.5) / "+i+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+a+") + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+o+", index + "+a+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape;if(null!=i&&b(e,i)){var o=i[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var a=k(e),s=a.newShape,u=a.keptDims,l=s;if(l.length<e.length)return"\n      "+fn(Nn(t,l))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+Sn(["row","col"],u)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=i[0],p=i[1],h=bn(n);return 1===p?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+c+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===c?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+h+";\n    vec2 uv = uvFromFlat("+c+", "+p+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[1]*e[2],o=e[2],a=k(e),s=a.newShape,u=a.keptDims,l=s;if(l.length<e.length)return"\n        "+fn(Nn(t,l))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+Sn(["row","col","depth"],u)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=t.shapeInfo.texShape,p=c[0],h=c[1],f=t.shapeInfo.flatOffset;return h===i&&null==f?"\n        float "+r+"(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("+h+".0, "+p+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":h===o&&null==f?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(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 + "+bn(n)+";\n        vec2 uv = uvFromFlat("+p+", "+h+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[3],o=e[2]*i,a=e[1]*o,s=k(e),u=s.newShape,l=s.keptDims;if(u.length<e.length)return"\n      "+fn(Nn(t,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+Sn(["row","col","depth","depth2"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+a+", "+o+", "+i+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,h=p[0],f=p[1];return f===a&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":f===i&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+a+" + col * "+o+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+h+", "+f+", index + "+bn(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[4],o=e[3]*i,a=e[2]*o,s=e[1]*a,u=k(e),l=u.newShape,c=u.keptDims;if(l.length<e.length)return"\n      "+fn(Nn(t,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+Sn(["row","col","depth","depth2","depth3"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+a+", "+o+", "+i+")) +\n          depth3;\n        "+wn(t)+"\n      }\n    ";var p=t.shapeInfo.flatOffset,h=t.shapeInfo.texShape,f=h[0],d=h[1];return d===s&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+a+", "+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===i&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+a+" + depth * "+o+" +\n          depth2 * "+i+" + depth3 + "+bn(n)+";\n      vec2 uv = uvFromFlat("+f+", "+d+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=k(e),o=i.newShape,a=i.keptDims;if(o.length<e.length)return"\n      "+fn(Nn(t,o))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+Sn(["row","col","depth","depth2","depth3","depth4"],a)+");\n      }\n    ";var s=e[5],u=e[4]*s,l=e[3]*u,c=e[2]*l,p=e[1]*c;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+p+", "+c+", "+l+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+wn(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],m=f[1];return m===p&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+c+", "+l+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":m===s&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+p+" + col * "+c+" + depth * "+l+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+bn(n)+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function dn(t){switch(t.shapeInfo.logicalShape.length){case 0:return function(t){var e=t.name;return"\n    vec4 get"+e.charAt(0).toUpperCase()+e.slice(1)+"() {\n      return "+ln().texture2D+"("+e+", halfCR);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=ln();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+o.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,o=i[0],a=i[1],s=ln();if(null!=i&&b(e,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+a+".0, "+o+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(e[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===e[0])return"\n        "+dn(Nn(t,e.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+Sn(["b","row","col"],[1,2])+");\n        }\n      ";var a=o[0],s=o[1],u=Math.ceil(e[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+a+", "+s+", "+u*Math.ceil(e[1]/2)+", "+u+", b, row, col);\n      return "+ln().texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],s=a[0],u=a[1],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,h="b"+f+" * "+(c*=e[n-f-1])+" + "+h;return"\n    vec4 "+i+"("+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 "+ln().texture2D+"("+r+", uv);\n    }\n  "}(t)}}var mn="\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",gn="\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",yn="\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",vn="\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 bn(t){return"offset"+t}function wn(t){var e=t.name,n=v(t.shapeInfo.logicalShape);return 1===n?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function xn(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 Nn(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Sn(t,e){return e.map(function(e){return t[e]}).join(", ")}var Cn=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,d(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var i=t[t.length-1],o=Math.ceil(i/e);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),r||this.variableNames.push("bestIndicesA");var a,s,u=this.outputShape,l=u.length,c=xn(l),p=on("coords",l);if(1===o){var h=xn(s=l+1);a="\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,a="\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),m="."+f[s-1],g=f.map(function(t){return"int "+t}),y=on("sourceLocR",s-1).concat("inIdx.r"),v=on("sourceLocG",s-1).concat("inIdx.g"),b=on("sourceLocB",s-1).concat("inIdx.b"),w=on("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",N=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+w.join()+")));",S="vec4(\n            getAChannel("+y.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+w.join()+") : 0.)",C=r?"":"\n      float getBestIndicesAChannel("+g.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+g.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+C+"\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        "+a+"\n        ivec4 srcIdx = ivec4(sourceLocR"+m+", sourceLocG"+m+",\n          sourceLocB"+m+", sourceLocA"+m+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+S+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+N+"\n          vec4 candidate = "+S+";\n          bvec4 nan = isNaN(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},En=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,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 += "+o+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+a+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},In=function(t,e,n,r,i,o){this.outputShape=[],this.variableNames=["x","mean","variance"],un(t,e),un(t,n);var a="0.0";null!=r&&(un(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="1.0";null!=i&&(un(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+a+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+o+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},kn=function(t,e,n,r,i,o){this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],un(t,e),un(t,n);var a="vec4(0.0)";null!=r&&(un(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(un(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+a+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+o+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},An="return areal * breal - aimag * bimag;",Tn="return areal * bimag + aimag * breal;",Rn=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=un(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    "},Dn="return a + b;",On="return a - b;",_n="return a * b;",Mn=function(){function t(t,e,n){this.variableNames=["A","B"],this.outputShape=un(e,n),this.userCode="\n      uniform float NAN;\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    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),Ln=function(){function t(t,e,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.outputShape=un(e,n),this.userCode="\n      uniform float NAN;\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),Fn=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, min, max));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),zn=function(){function t(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (hasNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(min), vec4(max)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Pn=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    "},Bn=function(t){this.outputShape=[],this.outputShape=ue(t,1),this.variableNames=t.map(function(t,e){return"T"+e});var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var i=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var o=e.length,a=e[e.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+a+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Un=function(t,e){this.usesPackedTextures=!0,this.outputShape=[],this.outputShape=ue(t,e);var n=this.outputShape,r=n.length,i=xn(r),o=on("coords",r),a=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var l=a[e],c="vec2("+a.slice(-2).join()+")",p=a.join(),h="if ("+l+" < "+s[0]+")\n          return getChannel(getT0("+p+"), "+c+");";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        else if ("+l+" < "+s[u]+") {\n          "+l+" -= "+f+";\n          return getChannel(getT"+u+"("+p+"), "+c+");\n        }"}var d=s.length;h+="\n        else {\n          "+l+" -= "+s[s.length-1]+";\n          return getChannel(getT"+d+"("+p+"), "+c+");\n        }",this.userCode="\n      float getValue("+a.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+o+"), 0., 0., 0.);\n        if (++"+o[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+o+");\n        }\n        if (++"+o[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+o+");\n        }\n        if ("+o[r-2]+" < "+n[r-2]+" &&\n            --"+o[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+o+");\n        }\n        setOutput(result);\n      }\n    "},Wn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Vn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},jn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,a=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+i+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+o+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+a+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},qn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,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) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+o+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+a+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Gn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+o+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Hn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Kn=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.top,n=t.padInfo.left,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.filterHeight,u=t.filterWidth,l=4*Math.floor(t.inChannels/4),c=t.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+i+");\n      const ivec2 pads = ivec2("+e+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+o+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+a+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},$n=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,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("+i+", "+o+", "+a+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+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    "},Xn=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+e+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Yn=function(t){this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,h=c,f="int xR; int xC; int xCOffset;",d=0;d<l;d++)for(var m=0;m<c;m++)f+="\n          vec4 xTexelR"+d+"C"+2*m+" = vec4(0.);\n          vec4 wR"+d+"C"+m+" = vec4(0.);\n          vec4 xR"+d+"C"+m+" = vec4(0.);";for(d=0;d<l;d++)for(var g=0;g<h;g++){if(f+="\n          xR = xRCorner + "+d*s+";\n          xC = xCCorner + "+(m=2*g)*u+";\n        ",1===a){if(m<c&&(f+=i%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+d+"C"+m+" = vec4(previous.zw, xTexelR"+d+"C"+m+".xy);\n                } else {\n                  xR"+d+"C"+m+" = vec4(0, 0, xTexelR"+d+"C"+m+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+e+" && xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = xTexelR"+d+"C"+m+";\n              ",m+1<c)){var y=i%2==0?p(u):u;u%2==0&&i%2==1||u%2!=0&&i%2!=1?(f+="\n                  xCOffset = xC + "+i%2+" + "+y+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",u>1&&(f+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+e+" &&\n                      xCOffset >= 0 && xCOffset < "+n+") {\n                      xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+d+"C"+m+" = vec4(0.);\n                    }\n                  "),f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".xy);\n                "):f+="\n                  xCOffset = xC + "+y+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+d+"C"+(m+1)+" = xTexelR"+d+"C"+(m+2)+";\n                "}}else m<c&&(f+="\n              if(xR >= 0 && xR < "+e+") {\n            ",i%2==1?(f+="\n                xCOffset = xC + 1 - "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n              ",m+1<c&&(f+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+a+";\n                  if(xCOffset >= 0 && xCOffset < "+n+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+d+"C"+(m+1)+" = vec4(xTexelR"+d+"C"+(m+2)+".xy, final.xy);\n                ")):(f+="\n                if(xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".xy, xTexelR"+d+"C"+(m+2)+".xy);\n              ",m+1<c&&(f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n                ")),f+="}");m<c&&(f+="\n            vec4 wTexelR"+d+"C"+m+" = getW("+d+", "+m+", d1, q);\n            wR"+d+"C"+m+" = vec4(wTexelR"+d+"C"+m+".xz, wTexelR"+d+"C"+m+".xz);\n          ",m+1<c&&(f+="\n              vec4 wTexelR"+d+"C"+(m+1)+" = getW("+d+", "+(m+1)+", d1, q);\n              wR"+d+"C"+(m+1)+" =\n                vec4(wTexelR"+d+"C"+(m+1)+".xz, wTexelR"+d+"C"+(m+1)+".xz);"))}for(d=0;d<l;d++)for(m=0;m<c;m++)f+="result += xR"+d+"C"+m+" * wR"+d+"C"+m+";";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 result = vec4(0.);\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},Jn=function(t,e,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=t[0],a=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[a-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(a-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=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],x=w[0],N=w[1],S=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+o+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+N+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+S+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(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          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n            sourceFracIndexRC + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\n          setOutput(newValue);\n        }\n      }\n    "},Zn=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,i=t[t.length-1],o=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+i+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+xn(r)+" coords = getOutputCoords();\n        int end = "+Qn(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+i+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+o+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+Qn(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 Qn(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 tr=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}(),er=function(t){this.variableNames=["A"];var e=ln();this.outputShape=t,this.userCode="\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\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},nr="return real * expR - imag * expI;",rr="return real * expI + imag * expR;",ir=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,o=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+i+";\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) / "+o+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},or=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}(),ar=function(t){this.variableNames=["A"];var e=ln(),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    "},sr=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var i=xn(this.rank),o=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],o=0;o<t.length;o++)o===e?i.push("int(getIndices("+r[o]+"))"):i.push(""+r[o]);return i.join()}(t,n);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+o+"));\n      }\n    "};var ur,lr,cr=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=xn(e.length),i=xn(n.length),o=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+i+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+o+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function pr(t,e){return[e,t]}function hr(t,e){return t*e}function fr(t,e,n){var r=function(t,e){if(t%e!=0)throw new Error("unpackedSize ("+t+") must be a multiple of "+e);return t/e}(t.length,n);if(e.length<r)throw new Error("matrix length ("+e.length+") must be >= "+r);for(var i=0,o=0;o<t.length;o+=n)e[i++]=t[o]}function dr(t,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(t/2))]}function mr(t,e){var n=dr(t,e);return n[0]*n[1]*4}function gr(t,e,n,r,i){var o=n*r;if(i.length<o)throw new Error("matrix length ("+i.length+") must be >= "+o);for(var a=r%2==1,s=n%2==1,u=Math.floor(r/2),l=Math.floor(n/2),c=Math.ceil(r/2),h=c*Math.ceil(n/2),f=p(n)*p(r),d=0;d<e;d++){for(var m=d*n*r,g=d*f,y=a?4:0,v=r+(a?1:0),b=g,w=m,x=m+r,N=0;N<l;++N){for(var S=0;S<u;++S)i[w++]=t[b++],i[w++]=t[b++],i[x++]=t[b++],i[x++]=t[b++];b+=y,w+=v,x+=v}if(a){b=g+4*(c-1);var C=m+r-1;for(y=4*c,v=2*r,N=0;N<l;++N)i[C]=t[b],i[C+r]=t[b+2],b+=y,C+=v}if(s){for(b=g+4*(h-c),C=m+(n-1)*r,S=0;S<u;++S)i[C++]=t[b++],i[C++]=t[b++],b+=2;a&&(i[m+n*r-1]=t[b])}}return i}function yr(t,e){var n=e();return wr(t),n}!function(t){t[t.RENDER=0]="RENDER",t[t.UPLOAD=1]="UPLOAD",t[t.PIXELS=2]="PIXELS",t[t.DOWNLOAD=3]="DOWNLOAD"}(ur||(ur={})),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"}(lr||(lr={}));var vr=!1;function br(t){vr=t}function wr(t){if(vr){var e=t.getError();if(e!==t.NO_ERROR)throw new Error("WebGL Error: "+Cr(t,e))}}var xr=5.96e-8,Nr=65504;function Sr(t){return!!(Bt.get("WEBGL_RENDER_FLOAT32_ENABLED")||0===t||xr<Math.abs(t)&&Math.abs(t)<Nr)}function Cr(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 Er(t,e){return Kr(t,function(){return t.getExtension(e)},'Extension "'+e+'" not supported on this browser.')}function Ir(t,e){var n=Kr(t,function(){return t.createShader(t.VERTEX_SHADER)},"Unable to create vertex WebGLShader.");if(yr(t,function(){return t.shaderSource(n,e)}),yr(t,function(){return t.compileShader(n)}),!1===t.getShaderParameter(n,t.COMPILE_STATUS))throw console.log(t.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function kr(t,e){var n=Kr(t,function(){return t.createShader(t.FRAGMENT_SHADER)},"Unable to create fragment WebGLShader.");if(yr(t,function(){return t.shaderSource(n,e)}),yr(t,function(){return t.compileShader(n)}),!1===t.getShaderParameter(n,t.COMPILE_STATUS))throw function(t,e){var n=Ar.exec(e);if(null==n)return console.log("Couldn't parse line number in error: "+e),void console.log(t);for(var r=+n[1],i=t.split("\n"),o=i.length.toString().length+2,a=i.map(function(t,e){return S((e+1).toString(),o)+t}),s=0,u=0;u<a.length;u++)s=Math.max(a[u].length,s);var l=a.slice(0,r-1),c=a.slice(r-1,r),p=a.slice(r);console.log(l.join("\n")),console.log(e.split("\n")[0]),console.log("%c "+S(c[0],s),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join("\n"))}(e,t.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var Ar=/ERROR: [0-9]+:([0-9]+):/g;function Tr(t){return Kr(t,function(){return t.createProgram()},"Unable to create WebGLProgram.")}function Rr(t,e){if(yr(t,function(){return t.linkProgram(e)}),!1===t.getProgramParameter(e,t.LINK_STATUS))throw console.log(t.getProgramInfoLog(e)),new Error("Failed to link vertex and fragment shaders.")}function Dr(t,e){if(yr(t,function(){return t.validateProgram(e)}),!1===t.getProgramParameter(e,t.VALIDATE_STATUS))throw console.log(t.getProgramInfoLog(e)),new Error("Shader program validation failed.")}function Or(t,e){var n=Kr(t,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return yr(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,n)}),yr(t,function(){return t.bufferData(t.ARRAY_BUFFER,e,t.STATIC_DRAW)}),n}function _r(t,e){var n=Kr(t,function(){return t.createBuffer()},"Unable to create WebGLBuffer");return yr(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,n)}),yr(t,function(){return t.bufferData(t.ELEMENT_ARRAY_BUFFER,e,t.STATIC_DRAW)}),n}function Mr(){return 2===Bt.get("WEBGL_VERSION")?1:4}function Lr(t){return Kr(t,function(){return t.createTexture()},"Unable to create WebGLTexture.")}function Fr(t,e){var n=Bt.get("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 zr(t){return Kr(t,function(){return t.createFramebuffer()},"Unable to create WebGLFramebuffer.")}function Pr(t,e,n,r,i,o,a){var s=t.getAttribLocation(e,n);return-1!==s&&(yr(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),yr(t,function(){return t.vertexAttribPointer(s,i,t.FLOAT,!1,o,a)}),yr(t,function(){return t.enableVertexAttribArray(s)}),!0)}function Br(t,e,n){$r(t,n),yr(t,function(){return t.activeTexture(t.TEXTURE0+n)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,e)})}function Ur(t,e,n){return Kr(t,function(){return t.getUniformLocation(e,n)},'uniform "'+n+'" not present in program.')}function Wr(t,e,n){return t.getUniformLocation(e,n)}function Vr(t,e,n,r,i){yr(t,function(){return Br(t,n,i)}),yr(t,function(){return t.uniform1i(r,i)})}function jr(t,e,n){yr(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,n)}),yr(t,function(){return t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0)})}function qr(t,e){yr(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,e)}),yr(t,function(){return t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,null,0)})}function Gr(t){var e=t.checkFramebufferStatus(t.FRAMEBUFFER);if(e!==t.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+Hr(t,e))}function Hr(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 Kr(t,e,n){var r=yr(t,function(){return e()});if(null==r)throw new Error(n);return r}function $r(t,e){var n=t.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=e+t.TEXTURE0;if(r<t.TEXTURE0||r>n)throw new Error("textureUnit must be in [gl.TEXTURE0, gl.TEXTURE"+n+"].")}function Xr(t,e){return void 0===e&&(e=2),v(t.slice(0,t.length-e))}function Yr(t){if(0===t.length)throw Error("Cannot get rows and columns of an empty shape array.");return[t.length>1?t[t.length-2]:1,t[t.length-1]]}function Jr(t,e){var n;void 0===e&&(e=!1);var r=Bt.get("WEBGL_MAX_TEXTURE_SIZE");if(e&&(r*=2,1===(t=t.map(function(e,n){return n>=t.length-2?p(t[n]):t[n]})).length&&(t=[2,t[0]])),2!==t.length){var i=k(t);t=i.newShape}var o=v(t);if(t.length<=1&&o<=r)return[1,o];if(2===t.length&&t[0]<=r&&t[1]<=r)return t;if(3===t.length&&t[0]*t[1]<=r&&t[2]<=r)return[t[0]*t[1],t[2]];if(3===t.length&&t[0]<=r&&t[1]*t[2]<=r)return[t[0],t[1]*t[2]];if(4===t.length&&t[0]*t[1]*t[2]<=r&&t[3]<=r)return[t[0]*t[1]*t[2],t[3]];if(4===t.length&&t[0]<=r&&t[1]*t[2]*t[3]<=r)return[t[0],t[1]*t[2]*t[3]];if(e){var a=Xr(t),s=2,u=2;return t.length&&(s=(n=Yr(t))[0],u=n[1]),N(o=a*(s/2)*(u/2)).map(function(t){return 2*t})}return N(o)}function Zr(t){return t%2==0}function Qr(t,e){if(b(t=t.slice(-2),e=e.slice(-2)))return!0;if(!t.length||!e.length)return!0;if(0===t[0]||0===t[1]||0===e[0]||0===e[1])return!0;if(t.length!==e.length){var n=t.slice(-1)[0],r=e.slice(-1)[0];if(n===r)return!0;if(Zr(n)&&Zr(r)&&(1===t[0]||1===e[0]))return!0}return t[1]===e[1]&&Zr(t[0])&&Zr(e[0])}var ti=Object.freeze({callAndCheck:yr,enableDebugWebGLErrorChecking:br,checkWebGLError:wr,canBeRepresented:Sr,getWebGLErrorMessage:Cr,getExtensionOrThrow:Er,createVertexShader:Ir,createFragmentShader:kr,createProgram:Tr,linkProgram:Rr,validateProgram:Dr,createStaticVertexBuffer:Or,createStaticIndexBuffer:_r,getNumChannels:Mr,createTexture:Lr,validateTextureSize:Fr,createFramebuffer:zr,bindVertexBufferToProgramAttribute:Pr,bindTextureUnit:Br,unbindTextureUnit:function(t,e){$r(t,e),yr(t,function(){return t.activeTexture(t.TEXTURE0+e)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)})},getProgramUniformLocationOrThrow:Ur,getProgramUniformLocation:Wr,bindTextureToProgramUniformSampler:Vr,bindCanvasToFramebuffer:function(t){yr(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),yr(t,function(){return t.viewport(0,0,t.canvas.width,t.canvas.height)}),yr(t,function(){return t.scissor(0,0,t.canvas.width,t.canvas.height)})},bindColorTextureToFramebuffer:jr,unbindColorTextureFromFramebuffer:qr,validateFramebuffer:Gr,getFramebufferErrorMessage:Hr,getBatchDim:Xr,getRowsCols:Yr,getTextureShapeFromLogicalShape:Jr,isReshapeFree:Qr});function ei(t){var e=ln();return Ir(t,e.version+"\n    precision highp float;\n    "+e.attribute+" vec3 clipSpacePos;\n    "+e.attribute+" vec2 uv;\n    "+e.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function ni(t){return Or(t,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function ri(t){return _r(t,new Uint16Array([0,1,2,2,1,3]))}function ii(t,e){var n,r,i,o,a,s,u,l,c=t;return 2===Bt.get("WEBGL_VERSION")?(n=c.R32F,r=c.R16F,i=c.RGBA16F,o=c.RGBA32F,a=c.RED,s=4,u=1,l=c.HALF_FLOAT):(n=t.RGBA,r=t.RGBA,i=t.RGBA,o=c.RGBA,a=t.RGBA,s=4,u=4,l=null!=e?e.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:i,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:t.RGBA,downloadUnpackNumChannels:s,defaultNumChannels:u,textureTypeHalfFloat:l}}function oi(t,e,n,r,i,o){Fr(e,n);var a=Lr(t),s=t.TEXTURE_2D;return yr(t,function(){return t.bindTexture(s,a)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_MIN_FILTER,t.NEAREST)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_MAG_FILTER,t.NEAREST)}),yr(t,function(){return t.texImage2D(s,0,r,e,n,0,i,o,null)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)}),a}function ai(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],r.internalFormatFloat,r.textureFormatFloat,t.FLOAT)}function si(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],r.internalFormatHalfFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function ui(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function li(t,e,n,r){var i=dr(e,n);return oi(t,i[0],i[1],r.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function ci(t,e,n,r){var i=dr(e,n);return oi(t,i[0],i[1],r.internalFormatPackedHalfFloat,t.RGBA,r.textureTypeHalfFloat)}function pi(t,e,n){return yr(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,n)}),Pr(t,e,"clipSpacePos",n,3,20,0)&&Pr(t,e,"uv",n,2,20,12)}function hi(t,e,n){yr(t,function(){return t.bindTexture(t.TEXTURE_2D,e)}),yr(t,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,n)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function fi(t,e,n,r,i,o){Fr(n,r),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,e)}),yr(t,function(){return t.texSubImage2D(t.TEXTURE_2D,0,0,0,n,r,o,t.FLOAT,i)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function di(t,e,n,r,i,o,a){var s,u=pr(n,r),l=u[0],c=u[1],p=n*r;1===a.defaultNumChannels&&p===i.length?s=i:function(t,e,n){var r=hr(t.length,n);if(e.length<r)throw new Error("unpackedArray length ("+e.length+") must be >= "+r);for(var i=0,o=0;o<t.length;++o)e[i]=t[o],i+=n}(i,s=new Float32Array(p*o),o),fi(t,e,l,c,s,a.textureFormatFloat)}function mi(t,e,n,r,i,o,a,s,u){var l=dr(o,a),c=l[0],h=l[1],f=new Float32Array(mr(o,a));(function(t,e,n,r,i){for(var o=r%2==1,a=n%2==1,s=Math.floor(r/2),u=Math.floor(n/2),l=Math.ceil(r/2),c=l*Math.ceil(n/2),h=p(n)*p(r),f=0;f<e;f++){for(var d=f*n*r,m=f*h,g=o?4:0,y=r,v=m,b=0;b<u;++b){for(var w=2*b*r,x=0;x<s;++x){var N=d+w+2*x;i[v]=t[N],i[v+1]=t[N+1],i[v+2]=t[N+y],i[v+3]=t[N+y+1],v+=4}v+=g}if(o){N=d+r-1,v=m+4*(l-1);var S=2*r;for(g=4*l,b=0;b<u;++b)i[v]=t[N],i[v+2]=t[N+r],N+=S,v+=g}if(a){for(N=d+(n-1)*r,v=m+4*(c-l),x=0;x<s;++x)i[v++]=t[N++],i[v++]=t[N++],v+=2;o&&a&&(i[m+h-4]=t[N])}}})(s,n,r,i,f),fi(t,e,c,h,f,t.RGBA)}function gi(t,e,n,r,i){var o=e;if(2===Bt.get("WEBGL_VERSION")){var a=t,s=a.createBuffer();yr(t,function(){return t.bindBuffer(a.PIXEL_PACK_BUFFER,s)});var u=4*hr(n*r,i.downloadUnpackNumChannels);yr(t,function(){return t.bufferData(a.PIXEL_PACK_BUFFER,u,a.STREAM_READ)}),yr(t,function(){return a.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)}),yr(t,function(){return t.bindBuffer(a.PIXEL_PACK_BUFFER,null)}),o=s}return o}function yi(t,e,n,r,i){var o=t,a=new Float32Array(hr(n*r,i.downloadUnpackNumChannels));o.bindBuffer(o.PIXEL_PACK_BUFFER,e),o.getBufferSubData(o.PIXEL_PACK_BUFFER,0,a),o.bindBuffer(o.PIXEL_PACK_BUFFER,null);var s=new Float32Array(n*r);return fr(a,s,i.downloadUnpackNumChannels),s}function vi(t,e,n,r){var i=pr(e,n),o=i[0],a=i[1],s=new Float32Array(hr(e*n,r.downloadUnpackNumChannels));yr(t,function(){return t.readPixels(0,0,o,a,r.downloadTextureFormat,t.FLOAT,s)});var u=new Float32Array(e*n);return fr(s,u,r.downloadUnpackNumChannels),u}function bi(t,e,n,r){var i=pr(e,n),o=i[0],a=i[1],s=new Uint8Array(hr(e*n,4));return yr(t,function(){return t.readPixels(0,0,o,a,r.downloadTextureFormat,t.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function wi(t,e,n,r,i,o,a,s){var u=t,l=new Float32Array(mr(o,a));u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null);var c=new Float32Array(v([n,r,i]));return gr(l,n,r,i,c),c}function xi(t,e,n,r,i,o,a){var s=dr(i,o),u=s[0],l=s[1],c=new Float32Array(mr(i,o));yr(t,function(){return t.readPixels(0,0,u,l,t.RGBA,t.FLOAT,c)});var p=new Float32Array(v([e,n,r]));return gr(c,e,n,r,p)}var Ni=Object.freeze({createVertexShader:ei,createVertexBuffer:ni,createIndexBuffer:ri,getTextureConfig:ii,createFloat32MatrixTexture:ai,createFloat16MatrixTexture:si,createUnsignedBytesMatrixTexture:ui,createPackedMatrixTexture:li,createFloat16PackedMatrixTexture:ci,bindVertexProgramAttributeStreams:pi,uploadPixelDataToTexture:hi,uploadMatrixToTexture:di,uploadMatrixToPackedTexture:mi,maybeCreateBufferFromOutputTexture:gi,downloadFloat32MatrixFromBuffer:yi,downloadFloat32MatrixFromOutputTexture:vi,downloadByteEncodedFloatMatrixFromOutputTexture:bi,downloadPackedMatrixFromBuffer:wi,downloadMatrixFromPackedOutputTexture:xi}),Si=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=Bt.get("WEBGL_VERSION");null!=t?(this.gl=t,function(t,e){a[t]=e}(e,t)):this.gl=u(e),1===Bt.get("WEBGL_VERSION")?(this.textureFloatExtension=Er(this.gl,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),Bt.get("WEBGL_RENDER_FLOAT32_ENABLED")||(this.textureHalfFloatExtension=Er(this.gl,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float"))):this.colorBufferFloatExtension=Er(this.gl,"EXT_color_buffer_float"),this.vertexBuffer=ni(this.gl),this.indexBuffer=ri(this.gl),this.framebuffer=zr(this.gl),this.textureConfig=ii(this.gl,this.textureHalfFloatExtension)}return 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;yr(e,function(){return e.finish()}),yr(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),yr(e,function(){return e.deleteFramebuffer(t.framebuffer)}),yr(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),yr(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),yr(e,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.enableAutomaticDebugValidation=function(t){this.autoDebugValidate=t,br(t)},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),ai(this.gl,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),si(this.gl,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),ui(this.gl,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),hi(this.gl,t,e)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ci(this.gl,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),li(this.gl,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(qr(this.gl,this.framebuffer),this.outputTexture=null),yr(this.gl,function(){return e.gl.deleteTexture(t)})},t.prototype.uploadMatrixToTexture=function(t,e,n,r){this.throwIfDisposed();var i=Mr();return di(this.gl,t,e,n,r,i,this.textureConfig)},t.prototype.uploadMatrixToPackedTexture=function(t,e,n,r,i,o,a){return this.throwIfDisposed(),mi(this.gl,t,e,n,r,i,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return vi(r.gl,e,n,r.textureConfig)})},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return bi(r.gl,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,o){return wi(this.gl,t,e,n,r,i,o,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e,n){return yi(this.gl,t,e,n,this.textureConfig)},t.prototype.maybeCreateBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=gi(this.gl,t,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(Bt.get("WEBGL_FENCE_API_ENABLED")){var i=t,o=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=i.clientWaitSync(o,0,0);return t===i.ALREADY_SIGNALED||t===i.CONDITION_SATISFIED},e=o}else Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n,r,i,o){var a=this;return this.downloadMatrixDriver(t,function(){return xi(a.gl,e,n,r,i,o,a.textureConfig)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=kr(e,t),r=ei(e),i=Tr(e);return yr(e,function(){return e.attachShader(i,r)}),yr(e,function(){return e.attachShader(i,n)}),Rr(e,i),this.autoDebugValidate&&Dr(e,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=pi(e,this.program,this.vertexBuffer)),i},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&yr(this.gl,function(){return e.gl.deleteProgram(t)})},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.autoDebugValidate&&Dr(this.gl,this.program),yr(this.gl,function(){return e.gl.useProgram(t)})},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?Ur(this.gl,t,e):Wr(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),yr(this.gl,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(),Vr(this.gl,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=dr(e,n),i=r[0],o=r[1];this.setOutputMatrixTextureDriver(t,i,o)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&Dr(this.gl,this.program),Gr(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.autoDebugValidate&&this.debugValidate(),yr(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),yr(this.gl,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=Er(this.gl,2===Bt.get("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===Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},t.prototype.endQuery=function(){if(2!==Bt.get("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 i(this,void 0,void 0,function(){var e=this;return o(this,function(n){switch(n.label){case 0:return[4,C(function(){return e.disposed||e.isQueryAvailable(t,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length&&t[e]();++e);return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||C(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),jr(this.gl,t,this.framebuffer),this.autoDebugValidate&&Gr(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(jr(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Gr(this.gl)):qr(this.gl,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;jr(r,t,this.framebuffer),this.autoDebugValidate&&Gr(r),this.outputTexture=t,yr(r,function(){return r.viewport(0,0,e,n)}),yr(r,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),yr(this.gl,function(){return i.gl.scissor(t,e,n,r)})},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function Ci(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach(function(t,n){var r=t.logicalShape,i=e[n],o=i.shape;if(!b(r,o))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+o+" must match");if(!t.isUniform||!i.isUniform){var a=t.texShape,s=i.isUniform?null:i.texData.texShape;if(!b(a,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+a+" and "+s+" must match")}})}var Ei=function(t,e,n){this.variableNames=["A"],this.outputShape=t;var r=n.filterWidth,i=n.inChannels,o=n.strideWidth,a=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=s.left,h=s.top,f=i*r,d=ln();this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            int blockIndex = rc.y + col;\n            int pos = rc.x + row;\n\n            if(blockIndex >= "+t[1]+" || pos >= "+t[0]+") continue;\n\n            int offsetY = int(blockIndex / ("+u+")) * "+a+" - "+h+";\n            int d0 = offsetY + "+c+" * (pos / "+f+");\n\n            if(d0 >= "+e[0]+" || d0 < 0) continue;\n\n            int offsetX = int(mod(float(blockIndex), "+u+".) * "+o+". - "+p+".);\n            int d1 = offsetX + "+l+" * (int(mod(float(pos), "+f+".) / "+i+".));\n\n            if(d1 >= "+e[1]+" || d1 < 0) continue;\n\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), "+i+".)));\n          }\n        }\n\n        "+d.output+" = result;\n      }\n    "},Ii=function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[];var o,a=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";o=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+a+"; j <= "+a+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+o+";\n        setOutput(val);\n      }\n    "},ki=function(t,e,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ai=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,a=i-1-t.padInfo.top,s=o-1-t.padInfo.left,u=i*o-1;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+o+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+o+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ti=function(t,e,n,r,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===o&&(o=null),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=e;var a=n?t[1]:t[2],s=Math.ceil(a/2),u=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",c=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",f="";o&&(h="vec4 activation(vec4 x) {\n        "+o+"\n      }",f="result = activation(result);");var d=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),this.userCode="\n      "+h+"\n\n      const float sharedDimension = "+s+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+s+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+u+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          result += ("+c[0]+" * "+p[0]+") + ("+c[1]+" * "+p[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+d+"\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},Ri=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}(),Di=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    "},Oi=function(t){this.variableNames=["A"],this.isPackShader=!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=on("rc",e),r=xn(e),i=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",i=t-2;i<t;i++)r+=n[i]+" >= "+e[i],i<t-1&&(r+="||");return r}(e,t,n),o=function(t,e,n,r){if(1===t)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),a=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var o=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),a=2;a<t;a++)o=e[e.length-1-a]+","+o;n.push(o)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+o+"\n\n            setOutput(vec4("+a+"));\n          }\n        }\n      "}};var _i=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});var r=t.length,i=xn(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+o+");\n      "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+o+";\n        int end = "+a+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Mi=function(t,e,n){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=xn(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=on("rc",r),u=on("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[i+" 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          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+o+");\n      const "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},Li=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,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("+i+", "+o+");\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 += "+a+") {\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,y="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+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 += "+a+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+y+"\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            "+y+"\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            "+y+"\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            "+y+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Fi=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=Math.ceil(i/n);this.outputShape=[r,o];var a="0.0",s="";"prod"===e?a="1.0":"min"===e?(a="1.0 / 1e-20",s="min"):"max"===e&&(a="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var 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?(a="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&&(a="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="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+a+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+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("+a+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+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    "},zi=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      "+function(t){return"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+cn(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  "}(e)+"\n      "+function(t){return"\n    int getFlatIndex(ivec3 coords) {\n      return round("+function(t,e){if(t.length!==e.length)throw new Error("Vectors to be dotted must be of the same length -got "+t.length+" and "+e.length);for(var n=[],r=Math.floor(t.length/4),i=t.length%4,o=0;o<r;o++){var a=t.slice(4*o,4*o+4),s=e.slice(4*o,4*o+4);n.push(pn(a)+", "+pn(s))}return 0!==i&&(a=t.slice(4*r),s=e.slice(4*r),1===a.length&&(a=a.map(function(t){return"float("+t+")"}),s=s.map(function(t){return"float("+t+")"})),n.push(pn(a)+", "+pn(s))),n.map(function(t,e){return"dot("+t+")"}).join("+")}(["coords.x","coords.y","coords.z"],V(t).map(function(t){return t.toString()}).concat(["1."]))+");\n    }\n  "}(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    "};var Pi=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],l=[n&&s>1?i-1:i,n&&u>1?o-1:o],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), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(o-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Bi=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],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("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},Ui=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],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("+o+".0, "+a+".0,\n                                     "+a+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n        \n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+"; \n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Wi=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],l=[n&&s>1?i-1:i,n&&u>1?o-1:o],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("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Vi=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],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("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},ji=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map(function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),i=xn(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},qi=function(t,e,n,r,i,o,a){void 0===a&&(a=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var s=xn(i.length),u=xn(o.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+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+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      "},Gi=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=t.numSegments,a=o*Math.ceil(i/n);this.outputShape=[r,a];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";i%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var p="";i%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+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          "+o+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+o+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+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    "},Hi=function(t,e,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],s=[],u=0;u<e.length;u++)s.push(""+o[u]),u<t&&a.push(""+o[u]);r=a.join(),i=s.join()}var l=xn(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},Ki=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=xn(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return $i.slice(0,t).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map(function(t,e){return"sourceLoc."+$i[e]+" = start["+e+"] + coords."+$i[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+i+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),$i=["x","y","z","w","u","v"];var Xi=function(){function t(t){this.variableNames=["source"],this.usesPackedTextures=!0,this.outputShape=t,this.rank=t.length;var e=xn(this.rank),n=on("coords",this.rank),r=on("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",o="getChannel(getSource("+r.join()+"), "+i+")",a="\n      result.x = "+o+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+o+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+o+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+o+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map(function(t,e){return"start["+e+"]"}).join()+");":t.map(function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"}).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+" \n        vec4 result = vec4(0.);\n        "+a+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Yi=function(t,e,n,r){this.variableNames=["x"];var i=n.filter(function(t,e){return-1===r.indexOf(e)});this.outputShape=i;var o=n.length,a=xn(n.length),s=xn(i.length),u="";if(1===o)u="coords * strides + begin";else{var l=0;u=n.map(function(t,e){return-1===r.indexOf(e)?(l++,1===i.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(l-1)+"] * strides["+e+"] + begin["+e+"]"):"begin["+e+"]"}).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+t+");\n      "+a+" strides = "+a+"("+e+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "},Ji=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,i=Zi(e,n),o=Qi(t,i,n);if(o in this.freeTextures||(this.freeTextures[o]=[]),o in this.usedTextures||(this.usedTextures[o]=[]),this.freeTextures[o].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var a=this.freeTextures[o].shift();return this.usedTextures[o].push(a),a}return this.numUsedTextures++,this.log(),i===lr.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):i===lr.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):i===lr.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):i===lr.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):i===lr.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[o].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var i=Qi(e,Zi(n,r),r);i in this.freeTextures||(this.freeTextures[i]=[]),this.freeTextures[i].push(t),this.numFreeTextures++,this.numUsedTextures--;var o=this.usedTextures[i],a=o.indexOf(t);if(a<0)throw new Error("Cannot release a texture that was never provided by this texture manager");o.splice(a,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function Zi(t,e){if(t===ur.UPLOAD)return e?lr.PACKED_2X2_FLOAT32:lr.UNPACKED_FLOAT32;if(t===ur.RENDER||null==t)return e?Bt.get("WEBGL_RENDER_FLOAT32_ENABLED")?lr.PACKED_2X2_FLOAT32:lr.PACKED_2X2_FLOAT16:Bt.get("WEBGL_RENDER_FLOAT32_ENABLED")?lr.UNPACKED_FLOAT32:lr.UNPACKED_FLOAT16;if(t===ur.DOWNLOAD||t===ur.PIXELS)return lr.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Qi(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var to=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var i=xn(this.rank),o=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<t.length;i++)r.push("imod("+n[i]+", "+t[i]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+o+"));\n      }\n    "};var eo=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var i=xn(this.rank),o=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),i=0;i<t.length;i++)r[t[i]]=n[i];return r.join()}(e);this.userCode="\n    void main() {\n      "+i+" resRC = getOutputCoords();\n      setOutput(getA("+o+"));\n    }\n    "};var no=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var i=xn(this.rank),o=rn("rc",this.rank),a=new Array(this.rank);for(r=0;r<e.length;r++)a[e[r]]=o[r];var s="vec2("+a.slice(-2).join()+")",u="++"+o[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+a.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+u+") {\n        result[1] = "+l+";\n      }\n      --"+o[this.rank-1]+";\n      if(++"+o[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    "},ro=1.7580993408473768,io=1.0507009873554805,oo=function(){function t(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float NAN;\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    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),ao="if (isNaN(x)) return x;",so="return x;",uo=ao+"\n  return (x < 0.0) ? 0.0 : x;\n",lo="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+ro+";\n  float scale = "+io+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var co="return exp(x);",po=ao+"\n  return sin(x);\n",ho=ao+"\n  return cos(x);\n",fo=ao+"\n  return atan(x);\n",mo=ao+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",go=ao+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",yo="return x;",vo="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n\n  result.r = isNaN(x.r) ? x.r : result.r;\n  result.g = isNaN(x.g) ? x.g : result.g;\n  result.b = isNaN(x.b) ? x.b : result.b;\n  result.a = isNaN(x.a) ? x.a : result.a;\n\n  return result;\n",bo=function(){function t(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float NAN;\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    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),wo=function(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;var e=t.length,n=on("rc",e),r=xn(e),i=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),o=n.slice(-2),a=e<=1?"rc":"vec2("+o.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+i+");\n\n        setOutput(getChannel(packedInput, "+a+"));\n      }\n    "};var xo=Se({concat_:function(t,e){void 0===e&&(e=0),d(t.length>=1,function(){return"Pass at least one tensor to concat"});var n=Ne(t,"tensors","concat");e=I(e,n[0].shape)[0];var r=ue(n.map(function(t){return t.shape}),e);if(0===v(r))return Te([],r);if(1===(n=n.filter(function(t){return t.size>0})).length)return n[0];var i=n.map(function(t){return t.shape});!function(t,e){var n=t[0].length;t.forEach(function(t,e){d(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+")"})}),d(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,i){for(var o=0;o<n;o++)d(o===e||t[o]===r[o],function(){return"Error in concat"+n+"D: Shape of tensors["+i+"] ("+t+") does not match the shape of the rest ("+r+") along the non-concatenated axis "+i+"."})})}(i,e);var o=n;return Bt.engine.runKernel(function(t){return t.concat(n,e)},o,function(t){var n=i.map(function(t){return t[e]});return Io(t,n,e).map(function(t){return function(){return t}})})}}),No=Se({concat1d_:function(t){return xo(t,0)}}),So=Se({concat2d_:function(t,e){return xo(t,e)}}),Co=Se({concat3d_:function(t,e){return xo(t,e)}}),Eo=Se({concat4d_:function(t,e){return xo(t,e)}}),Io=Se({split_:function(t,e,n){void 0===n&&(n=0);var r,i=xe(t,"x","split");return n=I(n,i.shape)[0],"number"==typeof e?(d(i.shape[n]%e==0,function(){return"Number of splits must evenly divide the axis."}),r=new Array(e).fill(i.shape[n]/e)):(d(i.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),Bt.engine.runKernel(function(t){return t.split(i,r,n)},{$x:i},function(t){return{$x:function(){return xo(t,n)}}})}});function ko(t,e){return t(e={exports:{}},e.exports),e.exports}var Ao=ko(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 i(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),i=e&&e.state,o=n.next;return o.int32=function(){return 4294967296*n.next()|0},o.double=function(){return o()+1.1102230246251565e-16*(2097152*o()|0)},o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.alea=i}(0,t)}),To=ko(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 i(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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xor128=i}(0,t)}),Ro=ko(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 i(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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xorwow=i}(0,t)}),Do=ko(function(t){!function(t,e,n){function r(t,e){return e.x=t.x.slice(),e.i=t.i,e}function i(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.x,i=e.i;return t=r[i],n=(t^=t>>>7)^t<<24,n^=(t=r[i+1&7])^t>>>10,n^=(t=r[i+3&7])^t>>>3,n^=(t=r[i+4&7])^t<<7,t=r[i+7&7],n^=(t^=t<<13)^t<<9,r[i]=n,e.i=i+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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&(i.x&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xorshift7=i}(0,t)}),Oo=ko(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 i(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.w,i=e.X,o=e.i;return e.w=r=r+1640531527|0,n=i[o+34&127],t=i[o=o+1&127],n^=n<<13,t^=t<<17,n^=n>>>15,t^=t>>>12,n=i[o]=n^t,e.i=o,n+(r^r>>>16)|0},function(t,e){var n,r,i,o,a,s=[],u=128;for(e===(0|e)?(r=e,e=null):(e+="\0",r=0,u=Math.max(u,e.length)),i=0,o=-32;o<u;++o)e&&(r^=e.charCodeAt((o+32)%e.length)),0===o&&(a=r),r^=r<<10,r^=r>>>15,r^=r<<4,r^=r>>>13,o>=0&&(a=a+1640531527|0,i=0==(n=s[127&o]^=r+a)?i+1:0);for(i>=128&&(s[127&(e&&e.length||0)]=-1),i=127,o=512;o>0;--o)r=s[i+34&127],n=s[i=i+1&127],r^=r<<13,n^=n<<17,r^=r>>>15,n^=n>>>12,s[i]=r^n;t.w=a,t.X=s,t.i=i}(e,t)}(t),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&(i.X&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xor4096=i}(0,t)}),_o=ko(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 i(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.b,n=e.c,r=e.d,i=e.a;return t=t<<25^t>>>7^n,n=n-r|0,r=r<<24^r>>>8^i,i=i-t|0,e.b=t=t<<20^t>>>12^n,e.c=n=n-r|0,e.d=r<<16^n>>>16^i,e.a=i-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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.tychei=i}(0,t)}),Mo=ko(function(t){!function(e,n){var r,i=this,o=256,a=6,s="random",u=n.pow(o,a),l=n.pow(2,52),c=2*l,p=o-1;function h(t,h,g){var y=[],v=d(function t(e,n){var r,i=[],o=typeof e;if(n&&"object"==o)for(r in e)try{i.push(t(e[r],n-1))}catch(t){}return i.length?i:"string"==o?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(o):(t=new Uint8Array(o),(i.crypto||i.msCrypto).getRandomValues(t)),m(t)}catch(t){var n=i.navigator,a=n&&n.plugins;return[+new Date,i,a,i.screen,m(e)]}}():t,3),y),b=new function(t){var e,n=t.length,r=this,i=0,a=r.i=r.j=0,s=r.S=[];for(n||(t=[n++]);i<o;)s[i]=i++;for(i=0;i<o;i++)s[i]=s[a=p&a+t[i%n]+(e=s[i])],s[a]=e;(r.g=function(t){for(var e,n=0,i=r.i,a=r.j,s=r.S;t--;)e=s[i=p&i+1],n=n*o+s[p&(s[i]=s[a=p&a+e])+(s[a]=e)];return r.i=i,r.j=a,n})(o)}(y),w=function(){for(var t=b.g(a),e=u,n=0;t<l;)t=(t+n)*o,e*=o,n=b.g(1);for(;t>=c;)t/=2,e/=2,n>>>=1;return(t+n)/e};return w.int32=function(){return 0|b.g(4)},w.quick=function(){return b.g(4)/4294967296},w.double=w,d(m(b.S),e),(h.pass||g||function(t,e,r,i){return i&&(i.S&&f(i,b),t.state=function(){return f(b,{})}),r?(n[s]=t,e):t})(w,v,"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+"",i=0;i<r.length;)e[p&i]=p&(n^=19*e[p&i])+r.charCodeAt(i++);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)});Mo.alea=Ao,Mo.xor128=To,Mo.xorwow=Ro,Mo.xorshift7=Do,Mo.xor4096=Oo,Mo.tychei=_o;var Lo=Mo.alea,Fo=function(){function t(t,e,n,r,i){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 o=i||Math.random();this.random=Lo(o.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 i=void 0,o=void 0,a=void 0;do{a=(i=2*this.random()-1)*i+(o=2*this.random()-1)*o}while(a>=1||0===a);var s=Math.sqrt(-2*Math.log(a)/a);e=this.mean+this.stdDev*i*s,n=this.mean+this.stdDev*o*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}();function zo(t,e,n){return void 0===e&&(e="float32"),e=e||"float32",$(t),new it(t,e,n)}function Po(t,e){void 0===e&&(e=!1),console.log(t.toString(e))}var Bo=Se({batchToSpaceND_:function(t,e,n){var r=xe(t,"x","batchToSpaceND"),i=e.reduce(function(t,e){return t*e});return d(r.rank>=1+e.length,function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+e.length}),d(n.length===e.length,function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+e.length}),d(r.shape[0]%i==0,function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+e.join(" * ")+" === "+i}),Bt.engine.runKernel(function(t){return t.batchToSpaceND(r,e,n)},{$x:r},function(t){return{$x:function(){return t.spaceToBatchND(e,n)}}})}}),Uo=Se({cast_:function(t,e){var n=xe(t,"x","cast");return Bt.engine.runKernel(function(t){return t.cast(n,e)},{$x:n},function(t){return{$x:function(){return t.clone()}}})}}),Wo=Se({clone_:function(t){var e=xe(t,"x","clone",null);return Bt.engine.runKernel(function(t){return ut.make(e.shape,{dataId:e.dataId},e.dtype)},{$x:e},function(t){return{$x:function(){return t.toFloat()}}})}}),Vo=Se({cumsum_:function(t,e,n,r){void 0===e&&(e=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var i=xe(t,"x","cumsum"),o=oe([e|=0],i.rank),a=i;null!=o&&(a=i.transpose(o));var s=se(1,i.rank)[0],u=Bt.engine.runKernel(function(t){return t.cumsum(a,s,n,r)},{permutedX:a},function(t){return{permutedX:function(){return t.cumsum(e,n,!r)}}});return null!=o&&(u=u.transpose(o)),u}}),jo=Se({depthToSpace_:function(t,e,n){void 0===n&&(n="NHWC");var r=xe(t,"x","depthToSpace"),i="NHWC"===n?r.shape[1]:r.shape[2],o="NHWC"===n?r.shape[2]:r.shape[3],a="NHWC"===n?r.shape[3]:r.shape[1];return d(i*e>=0,function(){return"Negative dimension size caused by overflow when multiplying\n      "+i+" and "+e+"  for depthToSpace with input shape\n      "+r.shape}),d(o*e>=0,function(){return"Negative dimension size caused by overflow when multiplying\n      "+o+" and "+e+" for depthToSpace with input shape\n          "+r.shape}),d(a%(e*e)==0,function(){return"Dimension size must be evenly divisible by "+e*e+" but is "+a+" for depthToSpace with input shape "+r.shape}),Bt.engine.runKernel(function(t){return t.depthToSpace(r,e,n)},{$x:r})}}),qo=Se({expandDims_:function(t,e){void 0===e&&(e=0);var n=xe(t,"x","expandDims");d(e<=n.rank,function(){return"Axis must be <= rank of the tensor"});var r=n.shape.slice();return e<0&&(d(-(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),na(n,r)}}),Go=Se({eye_:function(t,e,n,r){void 0===r&&(r="float32"),null==e&&(e=t);for(var i=zo([t,e],r),o=t<=e?t:e,a=0;a<o;++a)i.set(1,a,a);var s=i.toTensor().as2D(t,e);if(null==n)return s;if(1===n.length)return aa(qo(s,0),[n[0],1,1]);if(2===n.length)return aa(qo(qo(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return aa(qo(qo(qo(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.")}}),Ho=Se({multinomial_:function(t,e,n,r){void 0===r&&(r=!1);var i=xe(t,"logits","multinomial"),o=i.size,a=i.rank;if(o<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+o+".");if(a>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+a);n=n||Math.random();var s=1===a?i.as2D(1,-1):i,u=Bt.engine.runKernel(function(t){return t.multinomial(s,r,e,n)},{logits2D:s});return 1===a?u.as1D():u}}),Ko=Se({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 i=xe(t,"indices","oneHot","int32"),o=i.shape.concat([e]);return i=i.flatten(),Bt.engine.runKernel(function(t){return t.oneHot(i,e,n,r)},{$indices:i},function(t){return{$indices:function(){return Pe(i.shape,"float32")}}}).reshape(o)}}),$o=Se({pad_:function(t,e,n){void 0===n&&(n=0);var r=xe(t,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var i=e.map(function(t){return t[0]});return Bt.engine.runKernel(function(t){return t.pad(r,e,n)},{$x:r},function(t){return{$x:function(){return t.slice(i,r.shape)}}})}}),Xo=Se({pad1d_:function(t,e,n){return void 0===n&&(n=0),d(2===e.length,function(){return"Invalid number of paddings. Must be length of 2."}),$o(t,[e],n)}}),Yo=Se({pad2d_:function(t,e,n){return void 0===n&&(n=0),d(2===e.length&&2===e[0].length&&2===e[1].length,function(){return"Invalid number of paddings. Must be length of 2 each."}),$o(t,e,n)}}),Jo=Se({pad3d_:function(t,e,n){return void 0===n&&(n=0),d(3===e.length&&2===e[0].length&&2===e[1].length&&2===e[2].length,function(){return"Invalid number of paddings. Must be length of 2 each."}),$o(t,e,n)}}),Zo=Se({pad4d_:function(t,e,n){return void 0===n&&(n=0),d(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."}),$o(t,e,n)}}),Qo=Se({rand_:function(t,e,n){var r=v(t),i=null;if(null==n||"float32"===n)i=new Float32Array(r);else if("int32"===n)i=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);i=new Uint8Array(r)}for(var o=0;o<r;o++)i[o]=e();return ut.make(t,{values:i},n)}}),ta=Se({randomNormal_:function(t,e,n,r,i){if(void 0===e&&(e=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var o=new Fo(e,n,r,!1,i),a=zo(t,r),s=0;s<a.values.length;s++)a.values[s]=o.nextValue();return a.toTensor()}}),ea=Se({randomUniform_:function(t,e,n,r){void 0===e&&(e=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var i=zo(t,r),o=0;o<i.values.length;o++)i.values[o]=f(e,n);return i.toTensor()}}),na=Se({reshape_:function(t,e){var n=xe(t,"x","reshape",null);return e=E(e,n.size),d(n.size===v(e),function(){return"new shape and old shape must have the same number of elements."}),Bt.engine.runKernel(function(t){return t.reshape(n,e)},{$x:n},function(t){return{$x:function(){return t.reshape(n.shape)}}})}}),ra=Se({spaceToBatchND_:function(t,e,n){var r=xe(t,"x","spaceToBatchND");return d(r.rank>=1+e.length,function(){return"input rank "+r.rank+" should be > than [blockShape] "+e.length}),d(n.length===e.length,function(){return"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+e.length}),d(r.shape.reduce(function(t,r,i){return i>0&&i<=e.length?t&&(r+n[i-1][0]+n[i-1][1])%e[i-1]==0:t},!0),function(){return"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+e.toString()}),Bt.engine.runKernel(function(t){return t.spaceToBatchND(r,e,n)},{$x:r},function(t){return{$x:function(){return t.batchToSpaceND(e,n)}}})}}),ia=Se({squeeze_:function(t,e){var n=xe(t,"x","squeeze");return na(n,k(n.shape,e).newShape)}}),oa=Se({stack_:function(t,e){void 0===e&&(e=0);var n=Ne(t,"tensors","stack");if(d(n.length>=1,function(){return"Pass at least one tensor to tf.stack"}),1===n.length)return n[0].expandDims(e);var r=n[0].rank,i=n[0].shape,o=n[0].dtype;d(e<=r,function(){return"Axis must be <= rank of the tensor"}),n.forEach(function(t){m(i,t.shape,"All tensors passed to stack must have matching shapes")}),n.forEach(function(t){d(o===t.dtype,function(){return"All tensors passed to stack must have matching dtypes"})});var a=n.map(function(t){return t.expandDims(e)});return xo(a,e)}}),aa=Se({tile_:function(t,e){var n=xe(t,"x","tile");return d(n.rank===e.length,function(){return"Error in transpose: rank of input "+n.rank+" must match length of reps "+e+"."}),Bt.engine.runKernel(function(t){return t.tile(n,e)},{$x:n},function(t){return{$x:function(){var r=je(n);if(1===n.rank)for(var i=0;i<e[0];++i)r=r.add(t.slice([i*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(i=0;i<e[0];++i)for(var o=0;o<e[1];++o)r=r.add(t.slice([i*n.shape[0],o*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(i=0;i<e[0];++i)for(o=0;o<e[1];++o)for(var a=0;a<e[2];++a)r=r.add(t.slice([i*n.shape[0],o*n.shape[1],a*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+n.rank+" tensors yet.");for(i=0;i<e[0];++i)for(o=0;o<e[1];++o)for(a=0;a<e[2];++a)for(var s=0;s<e[3];++s)r=r.add(t.slice([i*n.shape[0],o*n.shape[1],a*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}}),sa=Se({truncatedNormal_:function(t,e,n,r,i){if(void 0===e&&(e=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var o=new Fo(e,n,r,!0,i),a=zo(t,r),s=0;s<a.values.length;s++)a.values[s]=o.nextValue();return a.toTensor()}}),ua=Se({unstack_:function(t,e){void 0===e&&(e=0),e=e||0;var n=xe(t,"x","unstack");return d(e>=-n.shape.length&&e<n.shape.length,function(){return"Axis = "+e+" is not in [-"+n.shape.length+", "+n.shape.length+")"}),e<0&&(e+=n.shape.length),Bt.engine.runKernel(function(t){return t.unstack(n,e)},{$x:n},function(t){return{$x:function(){return oa(t,e)}}})}}),la=function(t,e){return i(this,void 0,void 0,function(){var n,r,i,a,s,u,l,c,p,h;return o(this,function(o){switch(o.label){case 0:return n=xe(t,"x","setdiff1d"),r=xe(e,"y","setdiff1d"),d(n.dtype===r.dtype,function(){return"x and y should have the same dtype, but got x ("+n.dtype+") and y ("+r.dtype+")."}),d(1===n.rank,function(){return"x should be 1D tensor, but got x ("+n.shape+")."}),d(1===r.rank,function(){return"y should be 1D tensor, but got y ("+r.shape+")."}),[4,n.data()];case 1:return i=o.sent(),[4,r.data()];case 2:for(a=o.sent(),s=new Set(a),u=0,p=0;p<i.length;p++)s.has(i[p])||u++;for(l=new it([u],n.dtype),c=new it([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 ca(t,e){for(var n=[],r=0;r<e.length;r++)e[r]&&n.push(r);var i=zo(t,"int32"),o=zo([n.length,t.length],"int32");for(r=0;r<n.length;r++){var a=i.indexToLoc(n[r]),s=r*t.length;o.values.set(a,s)}return o.toTensor()}var pa=function(){function t(t){if(this.gpgpu=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,Bt.get("WEBGL_VERSION")<1)throw new Error("WebGL is not supported on this device");if(null==t){var e=u(Bt.get("WEBGL_VERSION"));this.gpgpu=new Si(e),this.canvas=e.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpuCreatedLocally=!1,this.canvas=t.gl.canvas;this.textureManager=new Ji(this.gpgpu)}return t.prototype.register=function(t,e,n){if(this.texData.has(t))throw new Error("Data buffer is already registered");this.texData.set(t,{shape:e,dtype:n})},t.prototype.setDataMover=function(t){this.texData=new qe(t)},t.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n=[t.height,t.width],r=[t.height,t.width,e];if(Bt.get("IS_BROWSER")){if(!(t instanceof HTMLVideoElement||t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof ImageData))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was "+t.constructor.name);if(t instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.browser.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixels2DContext=document.createElement("canvas").getContext("2d")}this.fromPixels2DContext.canvas.width=t.width,this.fromPixels2DContext.canvas.height=t.height,this.fromPixels2DContext.drawImage(t,0,0,t.width,t.height),t=this.fromPixels2DContext.canvas}}var i=this.makeTensorHandle(n,"int32");this.texData.get(i.dataId).usage=ur.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(i.dataId),t);var o=new ar(r),a=this.compileAndRun(o,[i]);return this.disposeData(i.dataId),a},t.prototype.makeTensorHandle=function(t,e){var n={};return this.register(n,t,e),{dataId:n,shape:t,dtype:e}},t.prototype.write=function(t,e){if(null==e)throw new Error("MathBackendWebGL.write(): values can not be null");if(Bt.get("DEBUG"))for(var n=0;n<e.length;n++){var r=e[n];if(!Sr(r))throw Error("The value "+r+" cannot be represented on this device.")}var i=this.texData.get(t),o=i.texture,a=i.texShape,s=i.usage,u=i.dtype,l=i.isPacked;if("complex64"===u)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");null!=o&&(this.releaseTexture(t,o,a,s,u,l),i.texture=null,i.texShape=null),i.usage=ur.UPLOAD,i.values=e},t.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,i=e.complexTensors,o=e.slice,a=e.shape;if(null!=o){var s=new oo(a,"return x;"),u=this.compileAndRun(s,[{dataId:t,shape:a,dtype:r}]),l=this.readSync(u.dataId);return u.dispose(),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var c,p,h=null!=this.activeTimers;return h&&(c=performance.now()),p="complex64"===r?$e(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(t),h&&(this.downloadWaitMs+=performance.now()-c),this.convertAndCacheOnCPU(t,p)},t.prototype.read=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s,u,l,c,p,h,f,d,m,g,y,b,w,x,N,S,C,E,I;return o(this,function(o){switch(o.label){case 0:if(this.pendingRead.has(t))return r=this.pendingRead.get(t),[2,new Promise(function(t){return r.push(t)})];if(i=this.texData.get(t),a=i.texture,s=i.values,u=i.texShape,l=i.isPacked,c=i.shape,p=i.slice,h=i.dtype,null!=p)return f=new oo(c,"return x;"),d=this.compileAndRun(f,[{dataId:t,shape:c,dtype:h}]),m=this.read(d.dataId),d.dispose(),[2,m];if(null!=s)return[2,this.convertAndCacheOnCPU(t)];if(this.pendingRead.set(t,[]),!Bt.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===Bt.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return g=u[1],y=u[0],l&&(e=dr(u[0],u[1]),g=e[0],y=e[1]),b=this.gpgpu.maybeCreateBufferFromTexture(a,y,g),[4,this.gpgpu.createAndWaitForFence()];case 1:return o.sent(),b instanceof WebGLTexture?w=this.getValuesFromTexture(t):(x=v(c),l?(N=Xr(c),S=1,C=1,c.length&&(n=Yr(c),S=n[0],C=n[1]),w=this.gpgpu.downloadPackedMatrixFromBuffer(b,N,S,C,u[0],u[1]).subarray(0,x)):w=this.gpgpu.downloadFloat32MatrixFromBuffer(b,u[0],u[1]).subarray(0,x)),E=this.convertAndCacheOnCPU(t,w),I=this.pendingRead.get(t),this.pendingRead.delete(t),I.forEach(function(t){return t(E)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)),[2,E]}})})},t.prototype.getValuesFromTexture=function(t){var e,n=this,r=this.texData.get(t),i=r.shape,o=r.dtype,a=r.texture,s=r.texShape,u=v(i);if(Bt.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")){if(this.texData.get(t).isPacked){var l=Xr(i),c=1,p=1;return i.length&&(c=(e=Yr(i))[0],p=e[1]),this.gpgpu.downloadMatrixFromPackedTexture(a,l,c,p,s[0],s[1]).subarray(0,u)}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(a,s[0],s[1]).subarray(0,u)}var h=this.makeTensorHandle(i,"float32");h.size=v(i),this.texData.get(h.dataId).usage=ur.DOWNLOAD;var f=qt(function(){var e=new er(i);return n.compileAndRun(e,[{shape:i,dtype:o,dataId:t}],h,null,!1)}),d=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture,d.texShape[0],d.texShape[1]).subarray(0,u);return this.disposeData(h.dataId),m},t.prototype.time=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s,u;return o(this,function(o){switch(o.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=y(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),a=y(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=o.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:h(s),getExtraProfileInfo:function(){return s.map(function(t,e){return{name:a[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},t.prototype.endTimer=function(t){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=performance.now(),t)},t.prototype.getQueryTime=function(t){return i(this,void 0,void 0,function(){var e;return o(this,function(n){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},t.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t))if(this.pendingRead.has(t))this.pendingDisposal.add(t);else if(this.texData.has(t)){var e=this.texData.get(t),n=e.texture,r=e.dtype,i=e.texShape,o=e.usage,a=e.complexTensors,s=e.isPacked,u=e.slice;if(null!=n){var l=u&&u.origDataId||t,c=this.dataRefCount.get(l);c>1?this.dataRefCount.set(l,c-1):(this.dataRefCount.delete(l),this.releaseTexture(t,n,i,o,r,s),this.texData.delete(t))}null!=a&&(a.real.dispose(),a.imag.dispose())}},t.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},t.prototype.getCPUBackend=function(){return Bt.get("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Bt.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every(function(t){return null==n.texData.get(t.dataId).texture&&t.size<e})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.getCanvas=function(){return this.canvas},t.prototype.complex=function(t,e){var n=this.makeOutputArray(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Bt.engine.keep(t.clone()),imag:Bt.engine.keep(e.clone())},n},t.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},t.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},t.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);var r=this.texData.get(t.dataId).isPacked,i=ye(t.shape,e,n);if(r||!i){var o=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new Xi(n):new Ki(n),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[t],null,a)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},t.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=ut.make(n,{},t.dtype,this),o=this.texData.get(i.dataId);Object.assign(o,r),o.shape=n,o.dtype=t.dtype;var a=ve(e,t.strides);r.slice&&(a+=r.slice.flatOffset),o.slice={flatOffset:a,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s,u){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r,i,o,a,s,u);var l=de(t.shape,e,n,r,i,o,a,s,u),c=l[0],p=l[1],h=l[2],f=p.filter(function(t,e){return-1===h.indexOf(e)});if(f.some(function(t){return 0===t}))return Te([],f);var d=new Yi(c,r,p,h);return this.compileAndRun(d,[t])},t.prototype.reverse=function(t,e){var n=new ji(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.concat=function(t,e){if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>Bt.get("WEBGL_MAX_TEXTURES_IN_SHADER")){var n=Math.floor(t.length/2),r=this.concat(t.slice(0,n),e),i=this.concat(t.slice(n),e);return this.concat([r,i],e)}if(Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var o=new Un(t.map(function(t){return t.shape}),e);return this.compileAndRun(o,t)}var a=ue(t.map(function(t){return t.shape}),e),s=t.map(function(t){return t.as2D(-1,v(t.shape.slice(e)))}),u=new Bn(s.map(function(t){return t.shape}));return this.compileAndRun(u,s).reshape(a)},t.prototype.neg=function(t){var e=new oo(t.shape,"return -x;");return this.compileAndRun(e,[t])},t.prototype.batchMatMul=function(t,e,n,r){var i=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],a=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===i||1===o)&&a>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===o?t:t.as3D(s,a,1),l=1===o?2:1,c=1===o?e.as3D(s,1,a):e;return this.multiply(u,c).sum(l,!0)}var p=yt(t.dtype,e.dtype),h=new Ti(t.shape,[s,i,o],n,r),f=this.makePackedTensor(h.outputShape,p);return this.compileAndRun(h,[t,e],f)},t.prototype.fusedBatchMatMul=function(t,e,n,r,i,o){var a=n?t.shape[2]:t.shape[1],s=r?e.shape[1]:e.shape[2],u=t.shape[0],l=yt(t.dtype,e.dtype),c=new Ti(t.shape,[u,a,s],n,r,!!i,o?function(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?yo:so;if("relu"===t)return e?vo:uo;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}(o,!0):null),p=this.makePackedTensor(c.outputShape,l),h=[t,e];return i&&h.push(i),this.compileAndRun(c,h,p)},t.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new Rn(An,t.shape,e.shape),o=new Rn(Tn,t.shape,e.shape),a=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag),this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],s=this.compileAndRun(i,a),u=this.compileAndRun(o,a),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,_n,t.dtype);var c=new Mn(_n,t.shape,e.shape),p=this.makeOutputArray(c.outputShape,t.dtype);return this.compileAndRun(c,[t,e],p)},t.prototype.batchNormalization=function(t,e,n,r,i,o){var a=[t,e,n],s=null;null!=o&&(s=o.shape,a.push(o));var u=null;if(null!=i&&(u=i.shape,a.push(i)),Bt.get("WEBGL_PACK_BATCHNORMALIZATION")){var l=new kn(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,a)}var c=new In(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(c,a)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){var o=new Ii(t.shape,e,n,r,i);return this.compileAndRun(o,[t])},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){var s=new ki(e.shape,r,i,o,a);return this.compileAndRun(s,[e,n,t])},t.prototype.tile=function(t,e){var n=new to(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.pad=function(t,e,n){var r=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new Mi(t.shape,e,n):new _i(t.shape,e,n);return this.compileAndRun(r,[t])},t.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new no(t.shape,e):new eo(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new sr(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},t.prototype.batchToSpaceND=function(t,e,n){d(t.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=Yt(t.shape,e,r),o=Jt(i.length,e.length),a=Zt(t.shape,e,r),s=Qt(n,e.length),u=te(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){d(t.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=Yt(a.shape,e,r,!1),u=Jt(s.length,e.length,!1),l=Zt(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(l)},t.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],o=pe(i),a=new Fi({windowSize:o,inSize:i,batchSize:r},e),s=a.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(a,[t],c),1===c.shape[1]?c:this.reduce(c,e,n)},t.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],i=t.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var o=pe(i),a=new nn({windowSize:o,inSize:i,batchSize:r},e,null==n),s=a.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],"int32"),p=[t];return null!=n&&p.push(n),this.compileAndRun(a,p,c),1===c.shape[1]?c:this.argReduce(t,e,c)},t.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=pe(r[r.length-1]),o=new Cn(r,i,e,null==n),a=this.makePackedTensor(o.outputShape,"int32"),s=null==n?[t]:[t,n];return this.compileAndRun(o,s,a),a.rank===t.rank?this.argReducePacked(t,e,a):a},t.prototype.sum=function(t,e){ie("sum",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i),a=vt(t.dtype);return this.reduce(o,"sum",a).reshape(r)},t.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i),a=vt(t.dtype);return this.reduce(o,"prod",a).reshape(r)},t.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=oe([r],t.rank),o=t;null!=i&&(o=t.transpose(i),r=se(1,t.rank)[0]);var a=function(t,e,n){for(var r=[],i=t.length,o=0;o<i;o++)o!==e?r.push(t[o]):r.push(n);return r}(o.shape,r,n),s=v([o.shape[r]]),u=o.as2D(-1,s),l=vt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(a);return null!=i&&(c=c.transpose(ae(i))),c},t.prototype.segOpCompute=function(t,e,n,r,i){var o=t.shape[0],a=t.shape[1],s=function(t,e){var n,r=!1;for(t<=ce?(n=t,r=!0):n=W(t,Math.floor(Math.sqrt(t)));!r;){if(n>e||n===t){r=!0;break}n=W(t,n+1)}return n}(a,i),u=new Gi({windowSize:s,inSize:a,batchSize:o,numSegments:i},e),l=u.outputShape,c=l[0],p=l[1],h=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[t,n],h),h.shape[1]===i?h:(n=We(0,i).tile([a/s]),this.segOpCompute(h,e,n,r,i))},t.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(ie("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!Bt.get("WEBGL_PACK_REDUCE")||t.rank<=2){var i=ne(t.shape,r),o=i[0],a=v(i[1]),s=t.as2D(-1,a);return this.argReduce(s,n).reshape(o)}return this.argReducePacked(t,n)},t.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},t.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},t.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var i=new Zn(t.shape,n,r);return this.compileAndRun(i,[t])},t.prototype.equal=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Mn("return float(a == b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.notEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Mn("return float(a != b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Mn("return float(a < b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.lessEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Mn("return float(a <= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Mn("return float(a > b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greaterEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Mn("return float(a >= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalNot=function(t){var e=new oo(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},t.prototype.logicalAnd=function(t,e){if(Bt.get("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 Mn("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalOr=function(t,e){if(Bt.get("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 Mn("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.select=function(t,e,n){var r=new Hi(t.rank,e.shape,e.rank),i=this.makeOutputArray(r.outputShape,yt(e.dtype,n.dtype));return this.compileAndRun(r,[t,e,n],i)},t.prototype.where=function(t){Xt("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return ca(t.shape,e)},t.prototype.topk=function(t,e,n){return en(t.dataSync(),t.shape,t.dtype,e)},t.prototype.min=function(t,e){ie("min",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"min",o.dtype).reshape(r)},t.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\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 Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.mod=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\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 Mn("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);ie("max",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"max",o.dtype).reshape(r)},t.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\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 Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.all=function(t,e){ie("all",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"all",o.dtype).reshape(r)},t.prototype.any=function(t,e){ie("any",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"any",o.dtype).reshape(r)},t.prototype.squaredDifference=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("return (a - b) * (a - b);",t.shape,e.shape):new Mn("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.realDivide=function(t,e){var n=new Mn("if (a == b) return 1.0;\n  return a / b;",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t,e],r)},t.prototype.floorDiv=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  vec4 resultSign = sign(a) * sign(b);\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  ivec4 result = ia / ib;\n  ivec4 amodb = ia - ib * result;\n\n  // Vectorize INT_DIV\n  // if (resultSign < 0.0 && amodb != 0) result -= 1;\n  // return float(result);\n  return vec4(result -\n     ivec4(lessThan(resultSign, vec4(0.0))) * ivec4(notEqual(amodb, ivec4(0))));\n","int32");var n=new Mn("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[t,e],r)},t.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Dn);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=yt(t.dtype,e.dtype);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Dn,n);var r=new Mn(Dn,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.packedBinaryOp=function(t,e,n,r){var i=new Ln(n,t.shape,e.shape),o=this.makePackedTensor(i.outputShape,r);return this.compileAndRun(i,[t,e],o)},t.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,i=this.texData.get(t.dataId),o=this.texData.get(e.dataId),a=[[i.complexTensors.real,o.complexTensors.real],[i.complexTensors.imag,o.complexTensors.imag]].map(function(i){var o=i[0],a=i[1],s=r.makeComplexComponentTensorHandle(t,o),u=r.makeComplexComponentTensorHandle(e,a),l=new Mn(n,t.shape,e.shape),c=r.makeOutputArray(l.outputShape,yt(o.dtype,a.dtype));return r.compileAndRun(l,[s,u],c)}),s=a[0],u=a[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},t.prototype.makeComplexComponentTensorHandle=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},t.prototype.addN=function(t){for(var e=t[0],n=1;n<t.length;n++)e=this.add(e,t[n]);return e},t.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,On);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=yt(t.dtype,e.dtype);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,On,t.dtype);var r=new Mn(On,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.pow=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS"),r=n?new Ln("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),i=yt(t.dtype,e.dtype),o=n?this.makePackedTensor(r.outputShape,i):this.makeOutputArray(r.outputShape,i),a=r.getCustomSetupFunc();return this.compileAndRun(r,[t,e],o,a)},t.prototype.ceil=function(t){var e=new oo(t.shape,"return ceil(x);");return this.compileAndRun(e,[t])},t.prototype.floor=function(t){var e=new oo(t.shape,"return floor(x);");return this.compileAndRun(e,[t])},t.prototype.sign=function(t){var e=new oo(t.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},t.prototype.round=function(t){var e=new oo(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},t.prototype.exp=function(t){var e;return e=Bt.get("WEBGL_PACK")?new bo(t.shape,co):new oo(t.shape,co),this.compileAndRun(e,[t])},t.prototype.expm1=function(t){var e=new oo(t.shape,"return exp(x) - 1.0;");return this.compileAndRun(e,[t])},t.prototype.log=function(t){var e,n=(e=Bt.get("WEBGL_PACK")?new bo(t.shape,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n"):new oo(t.shape,"if (x < 0.0) return NAN;\n  return log(x);")).getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.log1p=function(t){var e=new oo(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},t.prototype.sqrt=function(t){var e=new oo(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},t.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new oo(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},t.prototype.square=function(t){var e=new oo(t.shape,"return x * x;");return this.compileAndRun(e,[t])},t.prototype.reciprocal=function(t){var e=new oo(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},t.prototype.relu=function(t){var e;return e=Bt.get("WEBGL_PACK")?new bo(t.shape,vo):new oo(t.shape,uo),this.compileAndRun(e,[t])},t.prototype.prelu=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",t.shape,e.shape):new Mn("return (a < 0.) ? b * a : a;",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.elu=function(t){var e=new oo(t.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(e,[t])},t.prototype.eluDer=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\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 Mn("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.selu=function(t){var e=new oo(t.shape,lo);return this.compileAndRun(e,[t])},t.prototype.int=function(t){var e=new oo(t.shape,"return float(int(x));"),n=this.makeOutputArray(e.outputShape,"int32");return this.compileAndRun(e,[t],n)},t.prototype.clip=function(t,e,n){var r,i=(r=Bt.get("WEBGL_PACK_CLIP")?new zn(t.shape):new Fn(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},t.prototype.abs=function(t){var e=new oo(t.shape,"return abs(x);");return this.compileAndRun(e,[t])},t.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Pn(t.shape),r=[this.makeComplexComponentTensorHandle(t,e.complexTensors.real),this.makeComplexComponentTensorHandle(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(t){var e=new oo(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},t.prototype.softplus=function(t){var e=new oo(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},t.prototype.sin=function(t){var e=new oo(t.shape,po);return this.compileAndRun(e,[t])},t.prototype.cos=function(t){var e=new oo(t.shape,ho);return this.compileAndRun(e,[t])},t.prototype.tan=function(t){var e=new oo(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},t.prototype.asin=function(t){var e=new oo(t.shape,"return asin(x);");return this.compileAndRun(e,[t])},t.prototype.acos=function(t){var e=new oo(t.shape,"return acos(x);");return this.compileAndRun(e,[t])},t.prototype.atan=function(t){var e=new oo(t.shape,fo);return this.compileAndRun(e,[t])},t.prototype.atan2=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\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 Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.sinh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.cosh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.tanh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},t.prototype.asinh=function(t){var e=new oo(t.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},t.prototype.acosh=function(t){var e=new oo(t.shape,mo),n=e.getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.atanh=function(t){var e=new oo(t.shape,go),n=e.getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.erf=function(t){var e=new oo(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(e,[t])},t.prototype.step=function(t,e){var n=new oo(t.shape,function(t){return void 0===t&&(t=0),ao+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},t.prototype.conv2dByMatMul=function(t,e,n){var r=t.shape,i=this.texData.get(t.dataId);if(!Bt.get("WEBGL_LAZILY_UNPACK")||!Bt.get("WEBGL_PACK_BINARY_OPERATIONS")||r[2]%2==0||!i.isPacked){var o=this.reshape(t,[1,r[0]*r[1]*r[2],n.inChannels]),a=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.batchMatMul(o,a,!1,!1),n.outShape)}var s=ut.make([1,r[0]*r[1]*(r[2]+1),n.inChannels],{dataId:t.dataId},t.dtype,this),u=i.shape;i.shape=i.shape.slice(),i.shape[i.shape.length-2]++,d(Qr(i.shape,s.shape),function(){return"packed reshape "+i.shape+" to "+s.shape+" isn't free"});var l=this.reshape(e,[1,n.inChannels,n.outChannels]),c=this.batchMatMul(s,l,!1,!1),p=this.texData.get(c.dataId);return d(p.isPacked,function(){return"batchMatMul result is expected to be packed"}),i.shape=u,p.shape=n.outShape,ut.make(n.outShape,{dataId:c.dataId},c.dtype,this)},t.prototype.conv2dWithIm2Row=function(t,e,n){var r=n.filterWidth,i=n.filterHeight,o=n.inChannels,a=n.outWidth,s=n.outHeight,u=r*i*o,l=s*a,c=[u,l],p=t.squeeze([0]),h=e.reshape([1,u,-1]),f=new Ei(c,p.shape,n),d=this.compileAndRun(f,[p]).reshape([1,c[0],c[1]]),m=new Ti(d.shape,[1,l,n.outChannels],!0,!1);return this.compileAndRun(m,[d,h]).reshape([1,s,a,n.outChannels])},t.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(Bt.get("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Kn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerInput=function(t,e,n){var r=new Vn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerFilter=function(t,e,n){var r=new Wn(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2D=function(t,e,n){var r;return Bt.get("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Yn(n),this.compileAndRun(r,[t,e],this.makePackedTensor(n.outShape,t.dtype))):(r=new Xn(n),this.compileAndRun(r,[t,e]))},t.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Hn(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Gn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3d=function(t,e,n){var r=new $n(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerInput=function(t,e,n){var r=new qn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerFilter=function(t,e,n){var r=new jn(n);return this.compileAndRun(r,[t,e])},t.prototype.maxPool=function(t,e){var n=new Li(e,"max",!1),r=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[t],r)},t.prototype.avgPool=function(t,e){var n=new Li(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.maxPoolBackprop=function(t,e,n,r){var i=new Li(r,"max",!0),o=this.compileAndRun(i,[e]),a=new Ai(r),s=this.makeOutputArray(a.outputShape,e.dtype),u=this.compileAndRun(a,[t,o],s);return o.dispose(),u},t.prototype.avgPoolBackprop=function(t,e,n){var r=new En(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},t.prototype.cast=function(t,e){return He(t,e,this)},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,o=0;o<t.rank;o++)o!==e&&(r[i++]=t.shape[o]);var a=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(o=0;o<u.length;o++)a[e]=o,u[o]=this.slice(t,a,s).reshape(r);return u},t.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);return!n.isPacked||Qr(t.shape,e)||null!==n.texture&&Qr(n.shape,e)?Ke(t,e):this.packedReshape(t,e)},t.prototype.resizeBilinear=function(t,e,n,r){var i=Bt.get("WEBGL_PACK_IMAGE_OPERATIONS")?new Ui(t.shape,e,n,r):new Bi(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Pi(t,e,n);return this.compileAndRun(r,[t])},t.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new Vi(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Wi(t,e,n);return this.compileAndRun(r,[t])},t.prototype.multinomial=function(t,e,n,r){var i=e?t:Ce(t),o=i.shape[0],a=i.shape[1],s=new Ri(o,a,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],u,l)},t.prototype.oneHot=function(t,e,n,r){var i=new Di(t.size,e,n,r);return this.compileAndRun(i,[t])},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return Xt("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Ze(t.dataSync(),e.dataSync(),n,r,i)},t.prototype.cropAndResize=function(t,e,n,r,i,o){var a=new Jn(t.shape,e.shape,r,i,o);return this.compileAndRun(a,[t,e,n])},t.prototype.depthToSpace=function(t,e,n){d(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],o="NHWC"===n?t.shape[2]:t.shape[3],a="NHWC"===n?t.shape[3]:t.shape[1],s=i*e,u=o*e,l=a/(e*e),c=new tr("NHWC"===n?[r,s,u,l]:[r,l,s,u],e,n);return this.compileAndRun(c,[t])},t.prototype.split=function(t,e,n){return tn(t,e,n)},t.prototype.scatterND=function(t,e,n){var r=fe(0,t,n),i=r.sliceRank,o=r.numUpdates,a=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/a,a],c=t.reshape([o,i]),p=e.reshape([o,a]);if(0===u)return Ke(Te([]),n);var h=Re(0),f=new qi(o,i,c.rank,p.rank,s,l);return this.compileAndRun(f,[p,c,h]).reshape(n)},t.prototype.sparseToDense=function(t,e,n,r){var i=fe(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.strides,u=i.outputSize,l=new qi(a,o,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(l,[e,t,r]).reshape(n)},t.prototype.fft=function(t){return this.fftImpl(t,!1)},t.prototype.ifft=function(t){return this.fftImpl(t,!0)},t.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new ir(nr,t.shape,e),i=new ir(rr,t.shape,e),o=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],a=this.compileAndRun(r,o),s=this.compileAndRun(i,o),u=this.complex(a,s).as2D(t.shape[0],t.shape[1]);return a.dispose(),s.dispose(),u},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=le(t,e),o=i[0],a=i[1],s=i[2],u=i[3],l=e.reshape([a,r]),c=t.reshape([t.size/s,s]),p=new cr(r,u,[a,s]);return this.compileAndRun(p,[c,l]).reshape(o)},t.prototype.fill=function(t,e,n){if("string"===(n=n||B(e))){var r=T(n,v(t));return r.fill(e),ut.make(t,{values:r},n)}var i=new or(t,e),o=i.getCustomSetupFunc(e),a=this.makeOutputArray(t,n);return this.compileAndRun(i,[],a,o)},t.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},t.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},t.prototype.makeOutputArray=function(t,e){return ut.make(t,{},e,this)},t.prototype.makePackedTensor=function(t,e){var n=ut.make(t,{},e,this);return this.texData.get(n.dataId).isPacked=!0,n},t.prototype.unpackTensor=function(t){var e=new wo(t.shape);return this.compileAndRun(e,[t],ut.make(e.outputShape,{},t.dtype,this))},t.prototype.packTensor=function(t){var e=new Oi(t.shape);return this.compileAndRun(e,[t],this.makePackedTensor(t.shape,t.dtype))},t.prototype.packedReshape=function(t,e){var n=t.reshape([Xr(t.shape)].concat(Yr(t.shape))),r=[Xr(e)].concat(Yr(e)),i=new zi(r,n.shape);return this.compileAndRun(i,[n]).reshape(e)},t.prototype.compileAndRun=function(t,e,n,r,i){var o=this;if(void 0===i&&(i=!0),null==n&&(n=t.usesPackedTextures?this.makePackedTensor(t.outputShape,e[0].dtype):this.makeOutputArray(t.outputShape,e[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=A(n.dtype,0),n;var a=e.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=o.texData.get(e.dataId);if(null==n.texture){if(!t.usesPackedTextures&&v(e.shape)<=Bt.get("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:o.readSync(e.dataId)};t.usesPackedTextures&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.usesPackedTextures)e=n.isPacked?o.unpackTensor(e):o.packTensor(e),n=o.texData.get(e.dataId);else if(n.isPacked&&!Qr(n.shape,e.shape)){var r=e,i=e.shape;e.shape=n.shape,e=o.packedReshape(e,i),n=o.texData.get(e.dataId),r.shape=i}return o.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(t,e,n){var r="";e.concat(n).forEach(function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e});var i=t.userCode;return t.constructor.name+"_"+r+"_"+i}(t,a,u),c=this.getAndSaveBinary(l,function(){return function(t,e,n,r){for(var i=e.userCode,o=n.map(function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),a=o.map(function(t){return t.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=hn(o,s,i,e.usesPackedTextures),l=t.createProgram(u),c={},p=0;p<e.variableNames.length;p++){var h=e.variableNames[p];c[h]=t.getUniformLocation(l,h,!1),c["offset"+h]=t.getUniformLocation(l,"offset"+h,!1)}return{program:e,source:u,webGLProgram:l,uniformLocations:c,gpgpu:t,inShapeInfos:a,outShapeInfo:s}}(o.gpgpu,t,a,u)}),p=null!=this.activeTimers;p&&(s=this.startTimer()),function(t,e,n,r){Ci(t.inShapeInfos,e),Ci([t.outShapeInfo],[n]);var i=n.texData.texture,o=n.texData.texShape,a=t.gpgpu;n.texData.isPacked?a.setOutputPackedMatrixTexture(i,o[0],o[1]):a.setOutputMatrixTexture(i,o[0],o[1]),a.setProgram(t.webGLProgram),e.forEach(function(e,n){var r=t.program.variableNames[n],i=t.uniformLocations[r],o=t.uniformLocations["offset"+r];if(null!=i)if(e.isUniform)if(1===v(e.shape))a.gl.uniform1f(i,e.uniformValues[0]);else{var s=e.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),a.gl.uniform1fv(i,s)}else null!=e.texData.slice&&null!=o&&a.gl.uniform1i(o,e.texData.slice.flatOffset),a.setInputMatrixTexture(e.texData.texture,i,n)}),null!=r&&r(a,t.webGLProgram),a.executeProgram()}(c,a,u,r);var h=1024*Bt.get("WEBGL_NUM_MB_BEFORE_PAGING");if(i&&this.numBytesInGPU>h)for(var f=this.numBytesInGPU-h;f>0&&this.lruDataGPU.length>0;){var d=this.lruDataGPU.shift(),m=this.texData.get(d),g=m.texShape,y=m.dtype;f-=this.computeBytes(g,y),this.read(d)}return p&&(s=this.endTimer(s),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(s)})),Bt.get("WEBGL_LAZILY_UNPACK")||!this.texData.get(n.dataId).isPacked||t.isPackShader?n:this.unpackTensor(n)},t.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){if(!this.disposed){for(var t in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},t.prototype.floatPrecision=function(){var t=this;return qt(function(){var e=Bt.get("DEBUG");Bt.set("DEBUG",!1);var n=t.abs(Re(1e-8)).dataSync()[0];return Bt.set("DEBUG",e),n>0?32:16})},t.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,o=n.values,a=n.texture,s=n.usage,u=n.isPacked;if(null==a){var l,c=null!=this.activeTimers;c&&(l=performance.now());var p=Jr(r,u);n.texShape=p;var h=this.acquireTexture(t,p,s,i,u);if(n.texture=h,null!=o){if(u){var f=Xr(r),d=1,m=1;r.length&&(d=(e=Yr(r))[0],m=e[1]),this.gpgpu.uploadMatrixToPackedTexture(h,f,d,m,p[0],p[1],ha(o))}else this.gpgpu.uploadMatrixToTexture(h,p[0],p[1],ha(o));n.values=null,c&&(this.uploadWaitMs+=performance.now()-l)}}else Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY&&this.lruDataGPU.indexOf(t)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(t),1),this.lruDataGPU.push(t))},t.prototype.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.texture,i=n.texShape,o=n.dtype,a=n.usage,s=n.isPacked;return null!=r&&(this.releaseTexture(t,r,i,a,o,s),n.texture=null,n.texShape=null,n.isPacked=!1),n.usage=ur.UPLOAD,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,o)),n.values},t.prototype.releaseTexture=function(t,e,n,r,i,o){if(Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY){var a=this.lruDataGPU.indexOf(t);a>=0&&this.lruDataGPU.splice(a,1)}this.numBytesInGPU-=this.computeBytes(n,i),this.textureManager.releaseTexture(e,n,r,o)},t.prototype.acquireTexture=function(t,e,n,r,i){return Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY&&this.lruDataGPU.push(t),this.numBytesInGPU+=this.computeBytes(e,r),this.textureManager.acquireTexture(e,n,i)},t.prototype.computeBytes=function(t,e){return t[0]*t[1]*M(e)},t}();function ha(t){return t instanceof Float32Array?t:new Float32Array(t)}Bt.get("IS_BROWSER")&&Bt.registerBackend("webgl",function(){return new pa},2);var fa=Se({abs_:function(t){var e=xe(t,"x","abs");return"complex64"===e.dtype?Bt.engine.runKernel(function(t){return t.complexAbs(e)},{$x:e}):Bt.engine.runKernel(function(t){return t.abs(e)},{$x:e},function(t){return{$x:function(){return t.mulStrict(e.toFloat().step(-1))}}})}}),da=Se({acos_:function(t){var e=xe(t,"x","acos");return Bt.engine.runKernel(function(t){return t.acos(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(Re(1).sub(e.toFloat().square()).sqrt()).neg()}}})}}),ma=Se({acosh_:function(t){var e=xe(t,"x","acosh");return Bt.engine.runKernel(function(t){return t.acosh(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(e.toFloat().square().sub(1).sqrt())}}})}}),ga=Se({asin_:function(t){var e=xe(t,"x","asin");return Bt.engine.runKernel(function(t){return t.asin(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(Re(1).sub(e.toFloat().square()).sqrt())}}})}}),ya=Se({asinh_:function(t){var e=xe(t,"x","asinh");return Bt.engine.runKernel(function(t){return t.asinh(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(Re(1).add(e.toFloat().square()).sqrt())}}})}}),va=Se({atan_:function(t){var e=xe(t,"x","atan");return Bt.engine.runKernel(function(t){return t.atan(e)},{$x:e},function(t){return{$x:function(){return t.div(e.toFloat().square().add(1))}}})}}),ba=Se({atanh_:function(t){var e=xe(t,"x","atanh");return Bt.engine.runKernel(function(t){return t.atanh(e)},{$x:e},function(t){return{$x:function(){return t.div(Re(1).sub(e.toFloat().square()))}}})}}),wa=Se({ceil_:function(t){var e=xe(t,"x","ceil");return Bt.engine.runKernel(function(t){return t.ceil(e)},{$x:e},function(t){return{$x:function(){return je(t)}}})}}),xa=Se({clipByValue_:function(t,e,n){var r=xe(t,"x","clipByValue");return d(e<=n,function(){return"Error in clip: min ("+e+") must be less than or equal to max ("+n+")."}),Bt.engine.runKernel(function(t){return t.clip(r,e,n)},{$x:r},function(t){return{$x:function(){return t.where(r.greaterEqual(e).logicalAnd(r.lessEqual(n)),je(t))}}})}}),Na=Se({cos_:function(t){var e=xe(t,"x","cos");return Bt.engine.runKernel(function(t){return t.cos(e)},{$x:e},function(t){return{$x:function(){return e.toFloat().sin().neg().mulStrict(t)}}})}}),Sa=Se({cosh_:function(t){var e=xe(t,"x","cosh");return Bt.engine.runKernel(function(t){return t.cosh(e)},{$x:e},function(t){return{$x:function(){return e.toFloat().sinh().mulStrict(t)}}})}}),Ca=Se({erf_:function(t){var e=xe(t,"x","erf");return d("int32"===e.dtype||"float32"===e.dtype,function(){return"Input dtype must be `int32` or `float32`."}),"int32"===e.dtype&&(e=e.toFloat()),Bt.engine.runKernel(function(t){return t.erf(e)},{$x:e},function(t){return{$x:function(){return t.mul(e.square().neg().exp().mul(2/Math.sqrt(Math.PI)))}}})}}),Ea=Se({exp_:function(t){var e=xe(t,"x","exp");return Bt.engine.runKernel(function(t,n){return n(t.exp(e))},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mulStrict(n)}}})}}),Ia=Se({expm1_:function(t){var e=xe(t,"x","expm1");return Bt.engine.runKernel(function(t){return t.expm1(e)},{$x:e},function(t){return{$x:function(){return t.mulStrict(e.exp())}}})}}),ka=Se({floor_:function(t){var e=xe(t,"x","floor");return Bt.engine.runKernel(function(t){return t.floor(e)},{$x:e},function(t){return{$x:function(){return je(t)}}})}}),Aa=Se({log_:function(t){var e=xe(t,"x","log");return Bt.engine.runKernel(function(t){return t.log(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(e.toFloat())}}})}}),Ta=Se({log1p_:function(t){var e=xe(t,"x","log1p");return Bt.engine.runKernel(function(t){return t.log1p(e)},{$x:e},function(t){return{$x:function(){return t.div(e.add(1))}}})}}),Ra=Se({logSigmoid_:function(t){var e=xe(t,"x","logSigmoid");return Bt.engine.runKernel(function(t){return t.softplus(e.neg()).neg()},{$x:e},function(t){return{$x:function(){return t.mulStrict(e.neg().sigmoid())}}})}}),Da=Se({neg_:function(t){var e=xe(t,"x","neg");return Bt.engine.runKernel(function(t){return t.neg(e)},{$x:e},function(t){return{$x:function(){return t.neg()}}})}}),Oa=Se({reciprocal_:function(t){var e=xe(t,"x","reciprocal");return Bt.engine.runKernel(function(t){return t.reciprocal(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(e.square().neg())}}})}}),_a=Se({round_:function(t){var e=xe(t,"x","round");return Bt.engine.runKernel(function(t){return t.round(e)},{$x:e},function(t){return{$x:function(){return je(t)}}})}}),Ma=Se({rsqrt_:function(t){var e=xe(t,"x","rsqrt");return Bt.engine.runKernel(function(t){return t.rsqrt(e)},{$x:e},function(t){return{$x:function(){return t.div(e.pow(1.5).mul(2)).neg()}}})}}),La=Se({sigmoid_:function(t){var e=xe(t,"x","sigmoid");return Bt.engine.runKernel(function(t,n){return n(t.sigmoid(e))},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.mul(Re(1).sub(n)))}}})}}),Fa=Se({sign_:function(t){var e=xe(t,"x","sign");return Bt.engine.runKernel(function(t){return t.sign(e)},{$x:e},function(t){return{$x:function(){return je(t)}}})}}),za=Se({sin_:function(t){var e=xe(t,"x","sin");return Bt.engine.runKernel(function(t){return t.sin(e)},{$x:e},function(t){return{$x:function(){return e.toFloat().cos().mulStrict(t)}}})}}),Pa=Se({sinh_:function(t){var e=xe(t,"x","sinh");return Bt.engine.runKernel(function(t){return t.sinh(e)},{$x:e},function(t){return{$x:function(){return e.toFloat().cosh().mulStrict(t)}}})}}),Ba=Se({softplus_:function(t){var e=xe(t,"x","softplus");return Bt.engine.runKernel(function(t){return t.softplus(e)},{$x:e},function(t){return{$x:function(){return t.mulStrict(e.sigmoid())}}})}}),Ua=Se({sqrt_:function(t){var e=xe(t,"x","sqrt");return Bt.engine.runKernel(function(t){return t.sqrt(e)},{$x:e},function(t){return{$x:function(){return t.div(e.toFloat().sqrt().mul(2))}}})}}),Wa=Se({square_:function(t){var e=xe(t,"x","square");return Bt.engine.runKernel(function(t){return t.square(e)},{$x:e},function(t){return{$x:function(){return t.mul(e.toFloat().mul(2))}}})}}),Va=Se({step_:function(t,e){void 0===e&&(e=0);var n=xe(t,"x","step");return Bt.engine.runKernel(function(t){return t.step(n,e)},{$x:n},function(t){return{$x:function(){return je(t)}}})}}),ja=Se({tan_:function(t){var e=xe(t,"x","tan");return Bt.engine.runKernel(function(t){return t.tan(e)},{$x:e},function(t){return{$x:function(){return t.divStrict(e.cos().square())}}})}}),qa=Se({tanh_:function(t){var e=xe(t,"x","tanh");return Bt.engine.runKernel(function(t,n){return n(t.tanh(e))},{$x:e},function(t,e){var n=e[0];return{$x:function(){return Re(1).sub(n.square()).mulStrict(t)}}})}});function Ga(t,e,n,r,i,o){var a,s,u=xe(t,"x","batchNorm"),l=xe(e,"mean","batchNorm"),c=xe(n,"variance","batchNorm");return null!=i&&(a=xe(i,"scale","batchNorm")),null!=r&&(s=xe(r,"offset","batchNorm")),d(2===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),d(2===l.rank||1===l.rank,function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."}),d(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!=a&&d(2===a.rank||1===a.rank,function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+a.rank+"."}),null!=s&&d(2===s.rank||1===s.rank,function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."}),$a(u,l,c,s,a,o)}function Ha(t,e,n,r,i,o){var a,s,u=xe(t,"x","batchNorm"),l=xe(e,"mean","batchNorm"),c=xe(n,"variance","batchNorm");return null!=i&&(a=xe(i,"scale","batchNorm")),null!=r&&(s=xe(r,"offset","batchNorm")),d(3===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),d(3===l.rank||1===l.rank,function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."}),d(3===c.rank||1===c.rank,function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."}),null!=a&&d(3===a.rank||1===a.rank,function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+a.rank+"."}),null!=s&&d(3===s.rank||1===s.rank,function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."}),$a(u,l,c,s,a,o)}function Ka(t,e,n,r,i,o){var a,s,u=xe(t,"x","batchNorm"),l=xe(e,"mean","batchNorm"),c=xe(n,"variance","batchNorm");return null!=i&&(a=xe(i,"scale","batchNorm")),null!=r&&(s=xe(r,"offset","batchNorm")),d(4===u.rank,function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."}),d(4===l.rank||1===l.rank,function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."}),d(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!=a&&d(4===a.rank||1===a.rank,function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+a.rank+"."}),null!=s&&d(4===s.rank||1===s.rank,function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."}),$a(u,l,c,s,a,o)}function $a(t,e,n,r,i,o){null==o&&(o=.001);var a,s,u,l=xe(t,"x","batchNorm"),c=xe(e,"mean","batchNorm"),p=xe(n,"variance","batchNorm");return null!=i&&(a=xe(i,"scale","batchNorm")),null!=r&&(s=xe(r,"offset","batchNorm")),d(c.rank===p.rank,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),d(null==s||c.rank===s.rank,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),d(null==a||c.rank===a.rank,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l,Bt.engine.runKernel(function(t){return t.batchNormalization(u,Xa(c),Xa(p),o,Xa(a),Xa(s))},{$x:l,$mean:c,$variance:p,$scale:a,$offset:s},function(t){var e=null==a?Re(1):a,n=sn(c.shape,u.shape),r=[];if(1===c.rank){for(var i=0;i<u.shape.length-1;++i)r.push(u.shape[i]);r.push(1)}var s=l.sub(c),h=t.mul(e),f=Ma(p.add(Re(o))),d=f.mul(f).mul(f).mul(Re(-.5));return{$x:function(){return 1===c.rank?t.mul(aa(f.as4D(1,1,1,c.shape[0]),r)).mul(e).reshape(l.shape):t.mul(f).mul(e).reshape(l.shape)},$mean:function(){var t=f.mul(Re(-1)).mul(h);return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)},$variance:function(){var t=d.mul(s).mul(h);return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)},$scale:function(){var e=s.mul(f),r=t.mul(e);return 1===c.rank&&(r=r.sum(n)),r.reshape(c.shape)},$offset:function(){var e=t;return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)}}}).reshape(l.shape)}function Xa(t){return null==t?null:0===t.rank?t.as1D():1===t.rank?t:2===t.rank?t.as4D(1,1,t.shape[0],t.shape[1]):3===t.rank?t.as4D(1,t.shape[0],t.shape[1],t.shape[2]):t}function Ya(){Pt("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon")}var Ja=Se({batchNormalization2d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ya(),Ga(t,e,n,o,i,r)}}),Za=Se({batchNormalization3d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ya(),Ha(t,e,n,o,i,r)}}),Qa=Se({batchNormalization4d_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ya(),Ka(t,e,n,o,i,r)}}),ts=Se({batchNormalization_:function(t,e,n,r,i,o){return void 0===r&&(r=.001),Ya(),$a(t,e,n,o,i,r)}}),es=Se({batchNorm_:$a}),ns=Se({batchNorm2d_:Ga}),rs=Se({batchNorm3d_:Ha}),is=Se({batchNorm4d_:Ka});function os(t,e,n,r,i,o,a){void 0===a&&(a="channelsLast");var s,u=us(e),l=u[0],c=u[1];if("channelsLast"===a)s=[l,c,t[3],t[3]];else{if("channelsFirst"!==a)throw new Error("Unknown dataFormat "+a);s=[l,c,t[1],t[1]]}return as(t,s,n,r,i,o,!1,a)}function as(t,e,n,r,i,o,a,s){void 0===a&&(a=!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,m=e[0],g=e[1],y=e[3],v=us(n),b=v[0],x=v[1],N=us(r),S=N[0],C=N[1],E=cs(m,S),I=cs(g,C),k=function(t,e,n,r,i,o,a,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,i,o){null==i&&(i=function(t,e,n,r){void 0===r&&(r=1);var i=cs(e,r);return Math.floor((t[0]*(n-1)-n+i)/2)}(t,e,r));var a=t[0],s=t[1],u=ps((a-e+2*i)/r+1,o);d(w(u),function(){return"The output # of rows ("+u+") must be an integer. Change the stride and/or zero pad parameters"});var l=ps((s-e+2*i)/r+1,o);return d(w(l),function(){return"The output # of columns ("+l+") must be an integer. Change the stride and/or zero pad parameters"}),[u,l,n]}([e,n,1],o,1,r,t,s);l=p[0],c=p[1]}else if("same"===t){l=Math.ceil(e/r),c=Math.ceil(n/i);var h=Math.max(0,(l-1)*r+o-e),f=Math.max(0,(c-1)*i+a-n),m=Math.floor(h/2),g=h-m,y=Math.floor(f/2);u={top:m,bottom:g,left:y,right:f-y,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-o+1)/r),c=Math.ceil((n-a+1)/i)}return{padInfo:u,outHeight:l,outWidth:c}}(i,c,p,b,x,E,I,o),A=k.padInfo,T=k.outHeight,R=k.outWidth,D=a?y*h:y;return"channelsFirst"===s?f=[l,D,T,R]:"channelsLast"===s&&(f=[l,T,R,D]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:h,outHeight:T,outWidth:R,outChannels:D,padInfo:A,strideHeight:b,strideWidth:x,filterHeight:m,filterWidth:g,effectiveFilterHeight:E,effectiveFilterWidth:I,dilationHeight:S,dilationWidth:C,inShape:t,outShape:f,filterShape:e}}function ss(t,e,n,r,i,o,a){void 0===o&&(o=!1),void 0===a&&(a="channelsLast");var s=[-1,-1,-1,-1,-1],u=s[0],l=s[1],c=s[2],p=s[3],h=s[4];if("channelsLast"===a)u=t[0],l=t[1],c=t[2],p=t[3],h=t[4];else{if("channelsFirst"!==a)throw new Error("Unknown dataFormat "+a);u=t[0],h=t[1],l=t[2],c=t[3],p=t[4]}var f,d=e[0],m=e[1],g=e[2],y=e[4],v=ls(n),b=v[0],w=v[1],x=v[2],N=ls(r),S=N[0],C=N[1],E=N[2],I=function(t,e,n,r,i,o,a,s,u,l){var c,p,h,f;if("same"===t){var d=((p=Math.ceil(e/i))-1)*i+s-e,m=((h=Math.ceil(n/o))-1)*o+u-n,g=((f=Math.ceil(r/a))-1)*a+l-r,y=Math.floor(d/2),v=d-y,b=Math.floor(m/2),w=m-b,x=Math.floor(g/2);c={top:b,bottom:w,left:x,right:g-x,front:y,back:v,type:"SAME"}}else{if("valid"!==t)throw Error("Unknown padding parameter: "+t);c={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},p=Math.ceil((e-s+1)/i),h=Math.ceil((n-u+1)/o),f=Math.ceil((r-l+1)/a)}return{padInfo:c,outDepth:p,outHeight:h,outWidth:f}}(i,l,c,p,b,w,x,cs(d,S),cs(m,C),cs(g,E)),k=I.padInfo,A=I.outDepth,T=I.outHeight,R=I.outWidth,D=o?y*h:y;return"channelsFirst"===a?f=[u,D,A,T,R]:"channelsLast"===a&&(f=[u,A,T,R,D]),{batchSize:u,dataFormat:a,inDepth:l,inHeight:c,inWidth:p,inChannels:h,outDepth:A,outHeight:T,outWidth:R,outChannels:D,padInfo:k,strideDepth:b,strideHeight:w,strideWidth:x,filterDepth:d,filterHeight:m,filterWidth:g,dilationDepth:S,dilationHeight:C,dilationWidth:E,inShape:t,outShape:f,filterShape:e}}function us(t){return"number"==typeof t?[t,t]:t}function ls(t){return"number"==typeof t?[t,t,t]:t}function cs(t,e){return e<=1?t:t+(t-1)*(e-1)}function ps(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 hs(t){var e=us(t),n=e[0],r=e[1];return 1===n&&1===r}function fs(t,e){return hs(t)||hs(e)}function ds(t,e,n,r,i,o){d(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var a=t,s=e,u=!1;3===e.rank&&(u=!0,s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]),a=[1,t[0],t[1],t[2]]);var l=a[3],c=s.shape[3];d(4===a.length,function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+a.length+"."}),d(4===s.rank,function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank}),d(4===n.rank,function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}),d(l===n.shape[2],function(){return"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."}),d(c===n.shape[3],function(){return"Error in conv2dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[3]+"."}),null!=o&&d(w(i),function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var p=as(a,n.shape,r,1,i,o),h=Bt.engine.runKernel(function(t){return t.conv2dDerInput(s,n,p)},{dy4D:s,filter:n},function(t){return{dy4D:function(){return vs(t,n,r,i,"NHWC",1,o)},filter:function(){return ws(t,s,n.shape,r,i,o)}}});return u?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}function ms(t,e,n,r,i,o){var a=t;3===t.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var s=e;3===s.rank&&(s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),d(4===a.rank,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+a.shape+"."}),d(4===s.rank,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."}),d(4===n.length,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}),d(a.shape[3]===n[2],function(){return"Error in conv2dDerFilter: depth of input "+a.shape[3]+") must match input depth in filter ("+n[2]+"."}),d(s.shape[3]===n[3],function(){return"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+")."}),null!=o&&d(w(i),function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var u=as(a.shape,n,r,1,i,o);return Bt.engine.runKernel(function(t){return t.conv2dDerFilter(a,s,u)},{x4D:a,dy4D:s})}function gs(t){var e=function(t){return"number"==typeof t?[t,t,t]:2===t.length?[t[0],t[1],1]:t}(t),n=e[0],r=e[1],i=e[2];return 1===n&&1===r&&1===i}var ys=Se({conv1d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NWC"),void 0===o&&(o=1);var s=xe(t,"x","conv1d"),u=xe(e,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),d(3===l.rank,function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."}),d(3===u.rank,function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."}),null!=a&&d(w(r),function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."}),d(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]+"."}),d(fs(n,o),function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+o+"'"}),d("NWC"===i,function(){return"Error in conv1d: got dataFormat of "+i+" 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=vs(h,p,[1,n],r,"NHWC",[1,o],a);return c?f.as2D(f.shape[2],f.shape[3]):f.as3D(f.shape[0],f.shape[2],f.shape[3])}}),vs=Se({conv2d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NHWC"),void 0===o&&(o=[1,1]);var s=xe(t,"x","conv2d"),u=xe(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])),d(4===l.rank,function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."}),d(4===u.rank,function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."}),null!=a&&d(w(r),function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."}),d(l.shape[3]===u.shape[2],function(){return"Error in conv2d: depth of input ("+l.shape[3]+") must match input depth for filter "+u.shape[2]+"."}),d(fs(n,o),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),d("NHWC"===i,function(){return"Error in conv2d: got dataFormat of "+i+" but only NHWC is currently supported."});var p=as(l.shape,u.shape,n,o,r,a),h=Bt.engine.runKernel(function(t){return t.conv2d(l,u,p)},{x:l,$filter:u},function(t){return d(hs(o),function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+o+"'"}),{x:function(){return ds(l.shape,t,u,n,r)},$filter:function(){return ms(l,t,u.shape,n,r)}}});return c?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}}),bs=Se({conv3d_:function(t,e,n,r,i,o){void 0===i&&(i="NHWC"),void 0===o&&(o=[1,1,1]);var a=xe(t,"x","conv3d"),s=xe(e,"filter","conv3d"),u=a,l=!1;4===a.rank&&(l=!0,u=a.as5D(1,a.shape[0],a.shape[1],a.shape[2],a.shape[3])),d(5===u.rank,function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."}),d(5===s.rank,function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."}),d(u.shape[4]===s.shape[3],function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."}),d(function(t,e){return gs(t)||gs(e)}(n,o),function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),d("NHWC"===i,function(){return"Error in conv3d: got dataFormat of "+i+" but only NHWC is currently supported."});var c=ss(u.shape,s.shape,n,o,r),p=Bt.engine.runKernel(function(t){return t.conv3d(u,s,c)},{x:u,$filter:s},function(t){return d(gs(o),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+o+"'"}),{x:function(){return function(t,e,n,r,i){d(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var o=t,a=e,s=!1;4===e.rank&&(s=!0,a=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]),o=[1,t[0],t[1],t[2],t[3]]);var u=o[4],l=a.shape[4];d(5===o.length,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+o.length+"."}),d(5===a.rank,function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+a.rank}),d(5===n.rank,function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank}),d(u===n.shape[3],function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."}),d(l===n.shape[4],function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."});var c=ss(o,n.shape,r,1,i),p=Bt.engine.runKernel(function(t){return t.conv3dDerInput(a,n,c)},{dy5D:a});return s?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}(u.shape,t,s,n,r)},$filter:function(){return function(t,e,n,r,i){var o=t;4===t.rank&&(o=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var a=e;4===a.rank&&(a=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3])),d(5===o.rank,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+o.shape+"."}),d(5===a.rank,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+a.shape+"."}),d(5===n.length,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."}),d(o.shape[4]===n[3],function(){return"Error in conv3dDerFilter: depth of input "+o.shape[4]+") must match input depth in filter ("+n[3]+"."}),d(a.shape[4]===n[4],function(){return"Error in conv3dDerFilter: depth of dy ("+a.shape[4]+") must match output depth for filter ("+n[4]+")."});var s=ss(o.shape,n,r,1,i);return Bt.engine.runKernel(function(t){return t.conv3dDerFilter(o,a,s)},{x5D:o,dy5D:a})}(u,t,s.shape,n,r)}}});return l?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),ws=Se({conv2dDerFilter_:ms}),xs=Se({depthwiseConv2d_:function(t,e,n,r,i,o,a){void 0===i&&(i="NHWC"),void 0===o&&(o=[1,1]);var s=xe(t,"x","depthwiseConv2d"),u=xe(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])),d(4===l.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."}),d(4===u.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}),d(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==o&&(o=[1,1]),d(fs(n,o),function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+o+"'"}),null!=a&&d(w(r),function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+r+"."});var p=as(l.shape,u.shape,n,o,r,a,!0),h=Bt.engine.runKernel(function(t){return t.depthwiseConv2D(l,u,p)},{x:l,$filter:u},function(t){return d(hs(o),function(){return"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+o+"'"}),{x:function(){return function(t,e,n,r){var i=e,o=!1;3===e.rank&&(o=!0,i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=Bt.engine.runKernel(function(t){return t.depthwiseConv2DDerInput(i,n,r)},{dy4D:i});return o?a.as3D(a.shape[1],a.shape[2],a.shape[3]):a}(l.shape,t,u,p)},$filter:function(){return function(t,e,n,r){var i=t;3===t.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=e;return 3===o.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),Bt.engine.runKernel(function(t){return t.depthwiseConv2DDerFilter(i,o,r)},{x4D:i,dy4D:o})}(l,t,u.shape,p)}}});return c?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}}),Ns=Se({separableConv2d_:function(t,e,n,r,i,o,a){void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC");var s=xe(t,"x","separableConv2d"),u=xe(e,"depthwiseFilter","separableConv2d"),l=xe(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"===a)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");d(4===c.rank,function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."}),d(4===u.rank,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."}),d(4===l.rank,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."}),d(1===l.shape[0],function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."}),d(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];d(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 m=xs(c,u,r,i,a,o),g=vs(m,l,1,"valid",a);return p?g.as3D(g.shape[1],g.shape[2],g.shape[3]):g}}),Ss=Se({conv2dTranspose_:function(t,e,n,r,i,o){return ds(n,xe(t,"x","conv2dTranspose"),xe(e,"filter","conv2dTranspose"),r,i,o)}});var Cs=Se({matMul_:function(t,e,n,r){var i;void 0===n&&(n=!1),void 0===r&&(r=!1);var o=xe(t,"a","matMul"),a=xe(e,"b","matMul");i=bt(o,a),o=i[0],a=i[1];var s=n?o.shape[o.rank-2]:o.shape[o.rank-1],u=r?a.shape[a.rank-1]:a.shape[a.rank-2],l=n?o.shape[o.rank-1]:o.shape[o.rank-2],c=r?a.shape[a.rank-2]:a.shape[a.rank-1],p=o.shape.slice(0,-2),h=a.shape.slice(0,-2),f=v(p),m=v(h);d(o.rank>=2&&a.rank>=2&&o.rank===a.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+o.rank+" and "+a.rank+"."}),d(b(p,h),function(){return"Error in matMul: outer dimensions ("+p+") and ("+h+") of Tensors with shapes "+o.shape+" and "+a.shape+" must match."}),d(s===u,function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+o.shape+" and "+a.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var g=o.shape.slice(0,-2).concat([l,c]),y=n?o.as3D(f,s,l):o.as3D(f,l,s),w=r?a.as3D(m,c,u):a.as3D(m,u,c);return Bt.engine.runKernel(function(t){return t.batchMatMul(y,w,n,r)},{$a:y,$b:w},function(t){return n||r?!n&&r?{$a:function(){return t.matMul(w,!1,!1)},$b:function(){return t.matMul(y,!0,!1)}}:n&&!r?{$a:function(){return w.matMul(t,!1,!0)},$b:function(){return y.matMul(t,!1,!1)}}:{$a:function(){return w.matMul(t,!0,!0)},$b:function(){return t.matMul(y,!0,!0)}}:{$a:function(){return t.matMul(w,!1,!0)},$b:function(){return y.matMul(t,!0,!1)}}}).reshape(g)}}),Es=Se({dot_:function(t,e){var n=xe(t,"t1","dot"),r=xe(e,"t2","dot");d(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."});var i=1===n.rank?n.size:n.shape[1],o=1===r.rank?r.size:r.shape[0];return d(i===o,function(){return"Error in dot: inner dimensions of inputs must match, but got "+i+" and "+o+"."}),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Is=Se({outerProduct_:function(t,e){var n=xe(t,"v1","outerProduct"),r=xe(e,"v2","outerProduct");return d(1===n.rank&&1===r.rank,function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}),n.as2D(-1,1).matMul(r.as2D(1,-1))}});var ks=Se({reverse_:function(t,e){var n=xe(t,"x","reverse");if(0===n.rank)return n.clone();var r=I(e,n.shape);return Bt.engine.runKernel(function(t){return t.reverse(n,r)},{$x:n},function(t){return{$x:function(){return t.reverse(r)}}}).reshapeAs(n)}}),As=Se({reverse1d_:function(t){var e=xe(t,"x","reverse");return d(1===e.rank,function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."}),ks(e,0)}}),Ts=Se({reverse2d_:function(t,e){var n=xe(t,"x","reverse");return d(2===n.rank,function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."}),ks(n,e)}}),Rs=Se({reverse3d_:function(t,e){var n=xe(t,"x","reverse");return d(3===n.rank,function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."}),ks(n,e)}}),Ds=Se({reverse4d_:function(t,e){var n=xe(t,"x","reverse");return d(4===n.rank,function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."}),ks(n,e)}});function Os(t,e,n,r,i,o){var a=xe(t,"x","maxPool"),s=a,u=!1;3===a.rank&&(u=!0,s=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),null==r&&(r=[1,1]),d(4===s.rank,function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."}),d(fs(n,r),function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}),null!=o&&d(w(i),function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var l=os(s.shape,e,n,r,i,o),c=Bt.engine.runKernel(function(t,e){return e(t.maxPool(s,l))},{x:s},function(t,o){var a=o[0];return{x:function(){return function(t,e,n,r,i,o,a,s){var u=xe(t,"dy","maxPoolBackprop"),l=xe(e,"input","maxPoolBackprop"),c=xe(n,"output","maxPoolBackprop");d(l.rank===u.rank,function(){return"Rank of input ("+l.rank+") does not match rank of dy ("+u.rank+")"}),null==o&&(o=[1,1]),d(fs(i,o),function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+o+"'"}),d(4===u.rank,function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."}),d(4===l.rank,function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+l.rank+"."}),null!=s&&d(w(a),function(){return"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode "+s+" but got pad "+a+"."});var p=os(l.shape,r,i,o,a,s);return Bt.engine.runKernel(function(t){return t.maxPoolBackprop(u,l,c,p)},{$dy:u,$input:l})}(t,s,a,e,n,r,i)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function _s(t,e,n,r,i,o){var a=xe(t,"x","avgPool","float32");null==r&&(r=[1,1]),d(fs(n,r),function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"});var s=a,u=!1;3===a.rank&&(u=!0,s=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),d(4===s.rank,function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."}),null!=o&&d(w(i),function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+i+"."});var l=os(s.shape,e,n,r,i,o),c=Bt.engine.runKernel(function(t){return t.avgPool(s,l)},{x:s},function(t){return{x:function(){return function(t,e,n,r,i,o){var a=xe(t,"dy","avgPoolBackprop"),s=xe(e,"input","avgPoolBackprop");d(s.rank===a.rank,function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+a.rank+")"}),null==i&&(i=[1,1]),d(fs(r,i),function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+i+"'"});var u=s,l=a,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),d(4===l.rank,function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+l.rank+"."}),d(4===u.rank,function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+"."});var p=os(u.shape,n,r,i,o),h=Bt.engine.runKernel(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,i)}}});return c=c.cast(a.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}var Ms=Se({maxPool_:function(t,e,n,r,i){return Os(t,e,n,1,r,i)}}),Ls=Se({avgPool_:function(t,e,n,r,i){return _s(t,e,n,1,r,i)}}),Fs=Se({pool_:function(t,e,n,r,i,o){null==i&&(i=[1,1]),null==o&&(o=1),0===r&&(r="valid");var a=xe(t,"x","maxPool"),s=a,u=!1;3===a.rank&&(u=!0,s=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),d(fs(o,i),function(){return"Error in pool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+i+"'"});var l,c=os(s.shape,e,o,i,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)}),i=n.map(function(t,e){return t-r[e]});return n.map(function(t,e){return[r[e],i[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]}),i=n.map(function(t){return t[1]}),o=t.concat(r,i),a=e.map(function(t,e){return(t-o[e]%t)%t}),s=i.map(function(t,e){return t+a[e]});return[e.map(function(t,e){return[r[e],s[e]]}),e.map(function(t,e){return[0,a[e]]})]}([c.inHeight,c.inWidth],p,l),m=f[0],g=f[1],y=h?r:"valid",v=h?s:ra(s,p,m),b=("avg"===n?function(){return _s(v,e,o,1,y)}:function(){return Os(v,e,o,1,y)})(),w=h?b:Bo(b,p,g);return u?w.as3D(w.shape[1],w.shape[2],w.shape[3]):w}});var zs=Se({slice_:function(t,e,n){var r,i,o=xe(t,"x","slice");if(0===o.rank)throw new Error("Slicing scalar is not possible");r="number"==typeof e?[e].concat(new Array(o.rank-1).fill(0)):e.length<o.rank?e.concat(new Array(o.rank-e.length).fill(0)):e.slice(),i=(i=null==n?new Array(o.rank).fill(-1):"number"==typeof n?[n].concat(new Array(o.rank-1).fill(-1)):n.length<o.rank?n.concat(new Array(o.rank-n.length).fill(-1)):n).map(function(t,e){return t>=0?t:(d(-1===t,function(){return"Bad value in size"}),o.shape[e]-r[e])}),function(t,e,n){d(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+")."}),d(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){d(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]+")"})},i=0;i<t.rank;++i)r(i)}(o,r,i);var a=o.shape;return Bt.engine.runKernel(function(t){return t.slice(o,r,i)},{$x:o},function(t){for(var e=[],n=0;n<t.rank;n++)e.push([r[n],a[n]-r[n]-i[n]]);return{$x:function(){return t.pad(e)}}})}}),Ps=Se({slice1d_:function(t,e,n){var r=xe(t,"x","slice1d");return d(1===r.rank,function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"}),zs(r,[e],[n])}}),Bs=Se({slice2d_:function(t,e,n){var r=xe(t,"x","slice2d");return d(2===r.rank,function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"}),zs(r,e,n)}}),Us=Se({slice3d_:function(t,e,n){var r=xe(t,"x","slice3d");return d(3===r.rank,function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"}),zs(r,e,n)}}),Ws=Se({slice4d_:function(t,e,n){var r=xe(t,"x","slice4d");return d(4===r.rank,function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"}),zs(r,e,n)}});function Vs(t,e,n,r,i){var o=e[0];return o.rank<n.rank&&(o=o.reshape(re(o.shape,r))),t.rank<n.rank&&(t=t.reshape(re(t.shape,r))),{$x:function(){var e=t.mul(n.equal(o).cast(t.dtype));return null==i?e:e.transpose(i)}}}var js=Se({all_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","all","bool"),i=I(e,r.shape),o=i,a=oe(o,r.rank);null!=a&&(r=r.transpose(a),o=se(o.length,r.rank));var s=Bt.engine.runKernel(function(t){return t.all(r,o)},{$x:r});if(n){var u=re(s.shape,i);return s.reshape(u)}return s}}),qs=Se({any_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","any","bool"),i=I(e,r.shape),o=i,a=oe(o,r.rank);null!=a&&(r=r.transpose(a),o=se(o.length,r.rank));var s=Bt.engine.runKernel(function(t){return t.any(r,o)},{$x:r});if(n){var u=re(s.shape,i);return s.reshape(u)}return s}}),Gs=Se({argMax_:function(t,e){void 0===e&&(e=0);var n=xe(t,"x","argMax");null==e&&(e=0);var r=I(e,n.shape),i=oe(r,n.rank);return null!=i&&(n=n.transpose(i),r=se(r.length,n.rank)),Bt.engine.runKernel(function(t){return t.argMax(n,r[0])},{$x:n},function(t){return{$x:function(){return je(n)}}})}}),Hs=Se({argMin_:function(t,e){void 0===e&&(e=0);var n=xe(t,"x","argMin");null==e&&(e=0);var r=I(e,n.shape),i=oe(r,n.rank);return null!=i&&(n=n.transpose(i),r=se(r.length,n.rank)),Bt.engine.runKernel(function(t){return t.argMin(n,r[0])},{$x:n},function(t){return{$x:function(){return je(n)}}})}}),Ks=Se({logSumExp_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","logSumExp"),i=I(e,r.shape),o=r.max(i,!0),a=r.sub(o).exp().sum(i).log(),s=o.reshape(a.shape).add(a);if(n){var u=re(s.shape,i);return s.reshape(u)}return s}}),$s=Se({max_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","max"),i=r,o=I(e,r.shape),a=o,s=oe(a,r.rank);null!=s&&(r=r.transpose(s),a=se(a.length,r.rank));var u=Bt.engine.runKernel(function(t,e){return e(t.max(r,a))},{$x:r},function(t,e){return Vs(t,e,i,o,s)});if(n){var l=re(u.shape,o);u=u.reshape(l)}return u}}),Xs=Se({mean_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","mean"),i=I(e,r.shape),o=v(ne(r.shape,i)[1]);return Vt(function(t){var r=Re(o);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 i.forEach(function(t){n[t]=1}),e.reshape(n).mul(ze(t.shape,"float32")).div(r)}}})(r)}}),Ys=Se({min_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","min"),i=r,o=I(e,r.shape),a=o,s=oe(a,r.rank);null!=s&&(r=r.transpose(s),a=se(a.length,r.rank));var u=Bt.engine.runKernel(function(t,e){return e(t.min(r,a))},{$x:r},function(t,e){return Vs(t,e,i,o,s)});if(n){var l=re(u.shape,o);u=u.reshape(l)}return u}}),Js=Se({moments_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=I(e,(t=xe(t,"x","moments")).shape),i=t.mean(r,n),o=i.shape;return n||(o=re(i.shape,r)),{mean:i,variance:t.toFloat().sub(i.reshape(o)).square().mean(r,n)}}}),Zs=Se({sum_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","sum");"bool"===r.dtype&&(r=r.toInt());var i=I(e,r.shape);return Vt(function(t){var e=oe(i,t.rank),r=i,o=t;null!=e&&(o=t.transpose(e),r=se(r.length,t.rank));var a=Bt.engine.runKernel(function(t){return t.sum(o,r)},{permutedX:o});if(n){var s=re(a.shape,i);a=a.reshape(s)}return{value:a,gradFunc:function(e){var n=t.shape.slice();return i.forEach(function(t){n[t]=1}),e.reshape(n).mul(ze(t.shape,"float32"))}}})(r)}}),Qs=Se({prod_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=xe(t,"x","prod");"bool"===r.dtype&&(r=r.toInt());var i=I(e,r.shape),o=oe(i,r.rank),a=i,s=r;null!=o&&(s=r.transpose(o),a=se(a.length,r.rank));var u=Bt.engine.runKernel(function(t){return t.prod(s,a)},{permutedX:s});if(n){var l=re(u.shape,i);u=u.reshape(l)}return u}});var tu=Se({equal_:function(t,e){var n,r=xe(t,"a","equal"),i=xe(e,"b","equal");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.equal(r,i)},{$a:r,$b:i})}}),eu=Se({equalStrict_:function(t,e){var n=xe(t,"a","equalStrict"),r=xe(e,"b","equalStrict");return m(n.shape,r.shape,"Error in equalStrict: "),n.equal(r)}}),nu=Se({greater_:function(t,e){var n,r=xe(t,"a","greater"),i=xe(e,"b","greater");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.greater(r,i)},{$a:r,$b:i})}}),ru=Se({greaterEqual_:function(t,e){var n,r=xe(t,"a","greaterEqual"),i=xe(e,"b","greaterEqual");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.greaterEqual(r,i)},{$a:r,$b:i},function(t){return{$a:function(){return je(r)},$b:function(){return je(i)}}})}}),iu=Se({greaterEqualStrict_:function(t,e){var n=xe(t,"a","greaterEqualStrict"),r=xe(e,"b","greaterEqualStrict");return m(n.shape,r.shape,"Error in greaterEqualStrict: "),n.greaterEqual(r)}}),ou=Se({greaterStrict_:function(t,e){var n=xe(t,"a","greaterStrict"),r=xe(e,"b","greaterStrict");return m(n.shape,r.shape,"Error in greaterStrict: "),n.greater(r)}}),au=Se({less_:function(t,e){var n,r=xe(t,"a","less"),i=xe(e,"b","less");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.less(r,i)},{$a:r,$b:i})}}),su=Se({lessEqual_:function(t,e){var n,r=xe(t,"a","lessEqual"),i=xe(e,"b","lessEqual");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.lessEqual(r,i)},{$a:r,$b:i})}}),uu=Se({lessEqualStrict_:function(t,e){var n=xe(t,"a","lessEqualStrict"),r=xe(e,"b","lessEqualStrict");return m(n.shape,r.shape,"Error in lessEqualStrict: "),n.lessEqual(r)}}),lu=Se({lessStrict_:function(t,e){var n=xe(t,"a","lessStrict"),r=xe(e,"b","lessStrict");return m(n.shape,r.shape,"Error in lessStrict: "),n.less(r)}}),cu=Se({notEqual_:function(t,e){var n,r=xe(t,"a","notEqual"),i=xe(e,"b","notEqual");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.notEqual(r,i)},{$a:r,$b:i})}}),pu=Se({notEqualStrict_:function(t,e){var n=xe(t,"a","notEqualStrict"),r=xe(e,"b","notEqualStrict");return m(n.shape,r.shape,"Error in notEqualStrict: "),n.notEqual(r)}});var hu=Se({add_:function(t,e){var n,r=xe(t,"a","add"),i=xe(e,"b","add");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.add(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=t,n=sn(r.shape,o);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},$b:function(){var e=t,n=sn(i.shape,o);return n.length>0&&(e=e.sum(n)),e.reshape(i.shape)}}})}}),fu=Se({addN_:function(t){d(Array.isArray(t),function(){return"The argument passed to tf.addN() must be a list of tensors"}),d(t.length>=1,function(){return"Must pass at least one tensor to tf.addN(), but got "+t.length});var e=t.map(function(t,e){return xe(t,"tensors"+e,"addN")}),n=e[0];e.forEach(function(t){if(t.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(function(t){if(!b(t.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});var r=e;return Bt.engine.runKernel(function(t){return t.addN(e)},r,function(t){var n={};return e.forEach(function(e,r){n[r]=function(){return t.clone()}}),n})}}),du=Se({addStrict_:function(t,e){var n=xe(t,"a","addStrict"),r=xe(e,"b","addStrict");return m(n.shape,r.shape,"Error in addStrict: "),n.add(r)}}),mu=Se({atan2_:function(t,e){var n,r=xe(t,"a","atan2"),i=xe(e,"b","atan2");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.atan2(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=hu(r.square(),i.square()),n=t.mul(i.div(e)),a=sn(r.shape,o);return a.length>0&&(n=n.sum(a)),n.reshape(r.shape)},$b:function(){var e=hu(r.square(),i.square()),n=Da(t.mul(r.div(e))),a=sn(i.shape,o);return a.length>0&&(n=n.sum(a)),n.reshape(i.shape)}}})}}),gu=Se({div_:function(t,e){var n,r,i=xe(t,"a","div"),o=xe(e,"b","div");if(n=bt(i,o),i=n[0],o=n[1],"int32"===i.dtype&&"int32"===o.dtype)return vu(i,o);r=function(t){return t.realDivide(i,o)};var a=un(i.shape,o.shape);return Bt.engine.runKernel(r,{$a:i,$b:o},function(t){return{$a:function(){var e=t.div(o.toFloat()),n=sn(i.shape,a);return n.length>0?e.sum(n).reshape(i.shape):e},$b:function(){var e=t.mul(i.toFloat()),n=sn(o.shape,a);n.length>0&&(e=e.sum(n).reshape(o.shape));var r=o.square();return e.div(r.toFloat()).neg()}}})}}),yu=Se({divStrict_:function(t,e){var n=xe(t,"a","div"),r=xe(e,"b","div");return m(n.shape,r.shape,"Error in divideStrict: "),n.div(r)}}),vu=Se({floorDiv_:function(t,e){var n,r=xe(t,"a","floorDiv"),i=xe(e,"b","floorDiv");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.floorDiv(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=t.div(i.toFloat()),n=sn(r.shape,o);return n.length>0?e.sum(n).reshape(r.shape):e},$b:function(){var e=t.mul(r.toFloat()),n=sn(i.shape,o);n.length>0&&(e=e.sum(n).reshape(i.shape));var a=i.square();return e.div(a.toFloat()).neg()}}})}}),bu=Se({maximum_:function(t,e){var n,r=xe(t,"a","maximum"),i=xe(e,"b","maximum");return n=bt(r,i),r=n[0],i=n[1],"bool"===r.dtype&&(r=r.toInt(),i=i.toInt()),un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.maximum(r,i)},{$a:r,$b:i},function(t){return{$a:function(){return t.mul(r.greaterEqual(i).toFloat())},$b:function(){return t.mul(r.less(i).toFloat())}}})}}),wu=Se({maximumStrict_:function(t,e){var n=xe(t,"a","maximumStrict"),r=xe(e,"b","maximumStrict");return m(n.shape,r.shape,"Error in maximumStrict: "),n.maximum(r)}}),xu=Se({minimum_:function(t,e){var n,r=xe(t,"a","minimum"),i=xe(e,"b","minimum");return n=bt(r,i),r=n[0],i=n[1],"bool"===r.dtype&&(r=r.toInt(),i=i.toInt()),un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.minimum(r,i)},{$a:r,$b:i},function(t){return{$a:function(){return t.mul(r.lessEqual(i).toFloat())},$b:function(){return t.mul(r.greater(i).toFloat())}}})}}),Nu=Se({minimumStrict_:function(t,e){var n=xe(t,"a","minimumStrict"),r=xe(e,"b","minimumStrict");return m(n.shape,r.shape,"Error in minimumStrict: "),n.minimum(r)}}),Su=Se({mod_:function(t,e){var n,r=xe(t,"a","mod"),i=xe(e,"b","mod");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.mod(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=sn(r.shape,o);return e.length>0?t.sum(e).reshape(r.shape):t},$b:function(){var e=t.mul(r.div(i).floor().neg()),n=sn(i.shape,o);return n.length>0?e.sum(n).reshape(i.shape):e}}})}}),Cu=Se({modStrict_:function(t,e){var n=xe(t,"a","modStrict"),r=xe(e,"b","modStrict");return m(n.shape,r.shape,"Error in modStrict: "),n.mod(r)}}),Eu=Se({mul_:function(t,e){var n,r=xe(t,"a","mul"),i=xe(e,"b","mul");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.multiply(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=t.mul(i.toFloat()),n=sn(r.shape,o);return n.length>0?e.sum(n).reshape(r.shape):e},$b:function(){var e=t.mul(r.toFloat()),n=sn(i.shape,o);return n.length>0?e.sum(n).reshape(i.shape):e}}})}}),Iu=Se({mulStrict_:function(t,e){var n=xe(t,"a","mul"),r=xe(e,"b","mul");return m(n.shape,r.shape,"Error in multiplyStrict: "),n.mul(r)}}),ku=Se({pow_:function(t,e){var n=xe(t,"base","pow"),r=xe(e,"exp","pow"),i=un(n.shape,r.shape);return t=n.cast(yt(n.dtype,r.dtype)),e=r.cast(yt(n.dtype,r.dtype)),Bt.engine.runKernel(function(t,e){return e(t.pow(n,r))},{$base:n,$exp:r},function(t,e){var o=e[0];return{$base:function(){var e=r.toFloat(),o=t.mul(e.mul(n.pow(e.sub(Re(1))))),a=sn(n.shape,i);return a.length>0&&(o=o.sum(a)),o.reshape(n.shape)},$exp:function(){var e=n.greater(0),a=n.log().where(e,je(n)),s=t.mul(o.mul(a)),u=sn(r.shape,i);return u.length>0&&(s=s.sum(u)),s.reshape(r.shape)}}})}}),Au=Se({powStrict_:function(t,e){return m(t.shape,e.shape,"Error in powStrict: "),t.pow(e)}}),Tu=Se({squaredDifference_:function(t,e){var n,r=xe(t,"a","squaredDifference"),i=xe(e,"b","squaredDifference");return n=bt(r,i),r=n[0],i=n[1],un(r.shape,i.shape),Bt.engine.runKernel(function(t){return t.squaredDifference(r,i)},{$a:r,$b:i},function(t){var e=Re(2);return{$a:function(){return t.mul(r.sub(i).mul(e))},$b:function(){return t.mul(i.sub(r).mul(e))}}})}}),Ru=Se({squaredDifferenceStrict_:function(t,e){var n=xe(t,"a","squaredDifferenceStrict"),r=xe(e,"b","squaredDifferenceStrict");return m(n.shape,r.shape,"Error in squaredDifferenceStrict: "),n.squaredDifference(r)}}),Du=Se({sub_:function(t,e){var n,r=xe(t,"a","sub"),i=xe(e,"b","sub");n=bt(r,i),r=n[0],i=n[1];var o=un(r.shape,i.shape);return Bt.engine.runKernel(function(t){return t.subtract(r,i)},{$a:r,$b:i},function(t){return{$a:function(){var e=t,n=sn(r.shape,o);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},$b:function(){var e=t,n=sn(i.shape,o);return n.length>0&&(e=e.sum(n)),e.neg().reshape(i.shape)}}})}}),Ou=Se({subStrict_:function(t,e){var n=xe(t,"a","subStrict"),r=xe(e,"b","subStrict");return m(n.shape,r.shape,"Error in subStrict: "),n.sub(r)}});var _u=Se({logicalAnd_:function(t,e){var n=xe(t,"a","logicalAnd","bool"),r=xe(e,"b","logicalAnd","bool");return un(n.shape,r.shape),Bt.engine.runKernel(function(t){return t.logicalAnd(n,r)},{$a:n,$b:r})}}),Mu=Se({logicalNot_:function(t){var e=xe(t,"x","logicalNot","bool");return Bt.engine.runKernel(function(t){return t.logicalNot(e)},{$x:e})}}),Lu=Se({logicalOr_:function(t,e){var n=xe(t,"a","logicalOr","bool"),r=xe(e,"b","logicalOr","bool");return un(n.shape,r.shape),Bt.engine.runKernel(function(t){return t.logicalOr(n,r)},{$a:n,$b:r})}}),Fu=Se({logicalXor_:function(t,e){var n=xe(t,"a","logicalXor","bool"),r=xe(e,"b","logicalXor","bool");return un(n.shape,r.shape),Lu(t,e).logicalAnd(_u(t,e).logicalNot())}}),zu=Se({where_:function(t,e,n){var r=xe(e,"a","where"),i=xe(n,"b","where"),o=xe(t,"condition","where","bool");return m(r.shape,i.shape,"Error in where: "),1===o.rank?d(o.shape[0]===r.shape[0],function(){return"The first dimension of `a` must match the size of `condition`."}):m(o.shape,i.shape,"Error in where: "),Bt.engine.runKernel(function(t){return t.select(o,r,i)},{$condition:o,$a:r,$b:i},function(t){return{$condition:function(){return je(o).toFloat()},$a:function(){return t.mul(o.cast(t.dtype))},$b:function(){return t.mul(o.logicalNot().cast(t.dtype))}}})}}),Pu=function(t){return i(this,void 0,void 0,function(){var e,n,r;return o(this,function(i){switch(i.label){case 0:return[4,(e=xe(t,"condition","whereAsync","bool")).data()];case 1:return n=i.sent(),r=ca(e.shape,n),t!==e&&e.dispose(),[2,r]}})})};var Bu=Se({elu_:function(t){var e=xe(t,"x","elu");return Bt.engine.runKernel(function(t,n){return n(t.elu(e))},{$x:e},function(t,e){var n=e[0];return{$x:function(){return Bt.engine.runKernel(function(e){return e.eluDer(t,n)},{dy:t,y:n})}}})}}),Uu=Se({leakyRelu_:function(t,e){void 0===e&&(e=.2);var n=xe(t,"x","leakyRelu");return bu(Re(e).mul(n),n)}}),Wu=Se({prelu_:function(t,e){var n=xe(t,"x","prelu"),r=xe(e,"alpha","prelu");return Bt.engine.runKernel(function(t){return t.prelu(n,r)},{$x:n,$alpha:r},function(t){var e=n.greater(0);return{$x:function(){return zu(e,t,t.mul(r))},$alpha:function(){var i=zu(e,je(t),t.mul(n)),o=sn(r.shape,t.shape);return o.length>0&&(i=i.sum(o)),i.reshape(r.shape)}}})}}),Vu=Se({relu_:function(t){var e=xe(t,"x","relu");return"bool"===e.dtype?e.toInt():Bt.engine.runKernel(function(t){return t.relu(e)},{$x:e},function(t){var n=e.step();return{$x:function(){return t.mulStrict(n.toFloat())}}})}}),ju=Se({selu_:function(t){var e=xe(t,"x","selu");return Bt.engine.runKernel(function(t){return t.selu(e)},{$x:e},function(t){return{$x:function(){var n=e.greater(Re(0)),r=Re(ro),i=Re(io),o=t.mul(i),a=t.mul(r).mul(e.toFloat().exp());return zu(n,o,a)}}})}});var qu=Se({transpose_:function(t,e){var n=xe(t,"x","transpose");return null==e&&(e=n.shape.map(function(t,e){return e}).reverse()),d(n.rank===e.length,function(){return"Error in transpose: rank of input "+n.rank+" must match length of perm "+e+"."}),e.forEach(function(t){d(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():Bt.engine.runKernel(function(t){return t.transpose(n,e)},{$x:n},function(t){var n=ae(e);return{$x:function(){return t.transpose(n)}}})}});var Gu=Se({localResponseNormalization_:function(t,e,n,r,i){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===i&&(i=.5);var o=xe(t,"x","localResponseNormalization");d(4===o.rank||3===o.rank,function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+o.rank+"."}),d(w(e),function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."});var a=o,s=!1;3===o.rank&&(s=!0,a=o.as4D(1,o.shape[0],o.shape[1],o.shape[2]));var u=Bt.engine.runKernel(function(t,o){return o(t.localResponseNormalization4D(a,e,n,r,i))},{x4D:a},function(t,o){var s=o[0];return{x4D:function(){return Bt.engine.runKernel(function(o){return o.LRNGrad(t,a,s,e,n,r,i)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}});var Hu=Se({norm_:function(t,e,n,r){void 0===e&&(e="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var i=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(Re(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=xe(t,"x","norm"),e,n),o=i.shape;if(r){var a=I(n,t.shape);o=re(i.shape,a)}return i.reshape(o)}});function Ku(t,e){for(var n=[],r=t;r<e;++r)n.push(r);return n}function $u(t){for(var e=[],n=0;n<t.length;++n)for(var r=0;r<t[n].length;++r)e.push(t[n][r]);return e}var Xu=Se({gather_:function(t,e,n){void 0===n&&(n=0);var r=xe(t,"x","gather"),i=xe(e,"indices","gather","int32");n=I(n,r.shape)[0];var o=function(t,e,n){for(var r=t.shape[n],i=[],o=1,a=1,s=0;s<n;s++)i.push(t.shape[s]),o*=t.shape[s];for(s=0;s<e.rank;s++)i.push(e.shape[s]);for(s=n+1;s<t.rank;s++)i.push(t.shape[s]),a*=t.shape[s];return{batchSize:o,sliceSize:a,dimSize:r,outputShape:i}}(r,i,n);return Bt.engine.runKernel(function(t){return t.gather(r,i.flatten(),n)},{$x:r},function(t){return{$x:function(){var e=r.shape,o=i.size,a=e.slice(0,n),s=a.length,u=e.slice(n,e.length).slice(1),l=u.length,c=Ku(0,s),p=Ku(s+1,s+1+l),h=$u([a,[o],u]),f=t.reshape(h),d=i.reshape([o]),m=$u([[s],c,p]),g=f.transpose(m),y=Yu(g,d,r.shape[n]),v=ae(m);return y.transpose(v)}}}).reshape(o.outputShape)}}),Yu=Se({unsortedSegmentSum_:function(t,e,n){var r=xe(t,"x","unsortedSegmentSum"),i=xe(e,"segmentIds","unsortedSegmentSum","int32");return d(w(n),function(){return"numSegments must be of dtype int"}),Bt.engine.runKernel(function(t){return t.unsortedSegmentSum(r,i,n)},{$x:r},function(t){return{$x:function(){return function(t,e){for(var n=bu(e,je(e)),r=Xu(t,n),i=ru(e,Re(0,"int32")),o=r.rank-i.rank,a=0;a<o;++a)i=qo(i,a+1);i=_u(i,ze(r.shape,"bool"));var s=je(r);return zu(i,r,s)}(t,i)}}})}});var Ju=Se({basicLSTMCell_:function(t,e,n,r,i,o){var a=xe(t,"forgetBias","basicLSTMCell"),s=xe(e,"lstmKernel","basicLSTMCell"),u=xe(n,"lstmBias","basicLSTMCell"),l=xe(r,"data","basicLSTMCell"),c=xe(i,"c","basicLSTMCell"),p=xe(o,"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),y=h.slice([0,d],m),v=h.slice([0,2*d],m),b=h.slice([0,3*d],m),w=g.sigmoid().mulStrict(y.tanh()).addStrict(c.mulStrict(a.add(v).sigmoid()));return[w,w.tanh().mulStrict(b.sigmoid())]}}),Zu=Se({multiRNNCell_:function(t,e,n,r){for(var i=xe(e,"data","multiRNNCell"),o=Ne(n,"c","multiRNNCell"),a=Ne(r,"h","multiRNNCell"),s=i,u=[],l=0;l<t.length;l++){var c=t[l](s,o[l],a[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]}});var Qu=Se({movingAverage_:function(t,e,n,r,i){void 0===i&&(i=!0);var o=xe(t,"v","movingAverage"),a=xe(e,"x","movingAverage"),s=xe(n,"decay","movingAverage");(function(t,e){d(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})})(o,a),d(b(o.shape,a.shape),function(){return"Shape mismatch in v and x"});var u=Re(1),l=u.sub(s),c=a.sub(o).mul(l);if(i){d(null!=r,function(){return"When using zeroDebias: true, step is required."});var p=xe(r,"step","movingAverage");c=c.div(u.sub(ku(s,p)))}return o.add(c)}});var tl=Se({stridedSlice_:function(t,e,n,r,i,o,a,s,u){if(void 0===i&&(i=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==a)throw new Error("ellipsis mask is not yet supported");if(0!==s)throw new Error("new axis mask is not yet supported");var l=xe(t,"x","stridedSlice");if(r.every(function(t){return 1===t})){var c=de(l.shape,e,n,r,i,o,a,s,u),p=c[0],h=c[1],f=c[2],d=h.filter(function(t,e){return-1===f.indexOf(e)});return zs(l,p,h).reshape(d)}return Bt.engine.runKernel(function(t){return t.stridedSlice(l,e,n,r,i,o,a,s,u)},{$x:l})}});var el=Se({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=xe(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var i=r.shape[r.shape.length-1];if(e>i)throw new Error("'k' passed to topk() must be <= the last dimension ("+i+") but got "+e);var o=Bt.engine.runKernel(function(t){return t.topk(r,e,n)},{$x:r});return{values:o[0],indices:o[1]}}});var nl=Se({scatterND_:function(t,e,n){var r=xe(t,"indices","scatterND","int32"),i=xe(e,"updates","scatterND");return he(i,r,n),Bt.engine.runKernel(function(t){return t.scatterND(r,i,n)},{$indices:r,$updates:i})}});var rl=Se({fft_:function(t){d("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 Bt.engine.runKernel(function(t){return t.fft(r)},{input:t}).reshape(t.shape)}}),il=Se({ifft_:function(t){d("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 Bt.engine.runKernel(function(t){return t.ifft(r)},{input:t}).reshape(t.shape)}}),ol=Se({rfft_:function(t){d("float32"===t.dtype,function(){return"The dtype for rfft() must be real value but got "+t.dtype});var e=t.shape[t.shape.length-1],n=t.size/e,r=t.zerosLike(),i=Ie(t,r).as2D(n,e),o=rl(i),a=Math.floor(e/2)+1,s=ke(o),u=Ae(o),l=s.split([a,e-a],s.shape.length-1),c=u.split([a,e-a],u.shape.length-1),p=t.shape.slice();return p[t.shape.length-1]=a,Ie(l[0],c[0]).reshape(p)}}),al=Se({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),i=il(r);return ke(i)}var o=[n,2*(e-1)],a=ke(t).as2D(n,e),s=Ae(t).as2D(n,e),u=a.slice([0,1],[n,e-2]).reverse(1),l=s.slice([0,1],[n,e-2]).reverse(1).mul(Re(-1)),c=a.concat(u,1),p=s.concat(l,1);return r=Ie(c,p).as2D(o[0],o[1]),i=il(r),ke(i)}}),sl=Object.freeze({fft:rl,ifft:il,rfft:ol,irfft:al});var ul=Se({sparseToDense_:function(t,e,n,r){void 0===r&&(r=0);var i=xe(t,"sparseIndices","sparseToDense","int32"),o=xe(e,"sparseValues","sparseToDense"),a=xe(r,"defaultValue","sparseToDense",o.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 i=t.rank>0?t.shape[0]:1,o=t.rank>1?t.shape[1]:1;if(n.length!==o)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+o+".");var a=e.size;if(0!==e.rank&&(1!==e.rank||a!==i))throw new Error("sparseValues has incorrect shape "+e.shape+", should be [] or ["+i+"]");if(e.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(i,o,n,a),Bt.engine.runKernel(function(t){return t.sparseToDense(i,o,n,a)},{$sparseIndices:i,$sparseValues:o,$defaultValue:a})}});var ll=Se({gatherND_:function(t,e){var n=xe(e,"indices","gatherND","int32"),r=xe(t,"x","gatherND");return Bt.engine.runKernel(function(t){return t.gatherND(r,n)},{$x:r,$indices:n})}});!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 cl=Se({absoluteDifference_:function(e,n,r,i){void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=xe(e,"labels","absoluteDifference"),a=xe(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=xe(r,"weights","absoluteDifference")),m(o.shape,a.shape,"Error in absoluteDifference: ");var u=o.sub(a).abs();return pl(u,s,i)}}),pl=Se({computeWeightedLoss_:function(e,n,r){void 0===r&&(r=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=xe(e,"losses","computeWeightedLoss"),o=null;null!=n&&(o=xe(n,"weights","computeWeightedLoss"));var a=null==o?i:i.mul(o);if(r===t.Reduction.NONE)return a;if(r===t.Reduction.SUM)return a.sum();if(r===t.Reduction.MEAN){if(null==o)return a.mean();var s=v(i.shape)/v(o.shape),u=a.sum().div(o.sum());return s>1?u.div(Re(s)):u}if(r===t.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(Re(i.size));var l=o.mul(ze(i.shape)).notEqual(Re(0)).sum().toFloat();return a.sum().div(l)}throw Error("Unknown reduction: "+r)}}),hl=Se({cosineDistance_:function(e,n,r,i,o){void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=xe(e,"labels","cosineDistance"),s=xe(n,"predictions","cosineDistance"),u=null;null!=i&&(u=xe(i,"weights","cosineDistance")),m(a.shape,s.shape,"Error in cosineDistance: ");var l=Re(1).sub(a.mul(s).sum(r,!0));return pl(l,u,o)}}),fl=Se({hingeLoss_:function(e,n,r,i){void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=xe(e,"labels","hingeLoss"),a=xe(n,"predictions","hingeLoss"),s=null;null!=r&&(s=xe(r,"weights","hingeLoss")),m(o.shape,a.shape,"Error in hingeLoss: ");var u=Re(1);o=Re(2).mul(o).sub(u);var l=u.sub(o.mul(a)).relu();return pl(l,s,i)}}),dl=Se({huberLoss_:function(e,n,r,i,o){void 0===i&&(i=1),void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=xe(e,"labels","huberLoss"),s=xe(n,"predictions","huberLoss"),u=null;null!=r&&(u=xe(r,"weights","huberLoss")),m(a.shape,s.shape,"Error in huberLoss: ");var l=Re(i),c=s.sub(a).abs(),p=xu(c,l),h=c.sub(p),f=Re(.5).mul(p.square()).add(l.mul(h));return pl(f,u,o)}}),ml=Se({logLoss_:function(e,n,r,i,o){void 0===i&&(i=1e-7),void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=xe(e,"labels","logLoss"),s=xe(n,"predictions","logLoss"),u=null;null!=r&&(u=xe(r,"weights","logLoss")),m(a.shape,s.shape,"Error in logLoss: ");var l=Re(1),c=Re(i),p=a.mul(s.add(c).log()).neg().sub(l.sub(a).mul(l.sub(s).add(c).log()));return pl(p,u,o)}}),gl=Se({meanSquaredError_:function(e,n,r,i){void 0===i&&(i=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=xe(e,"labels","meanSquaredError"),a=xe(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=xe(r,"weights","meanSquaredError")),m(o.shape,a.shape,"Error in meanSquaredError: ");var u=o.squaredDifference(a);return pl(u,s,i)}}),yl=Se({sigmoidCrossEntropy_:function(e,n,r,i,o){void 0===i&&(i=0),void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=xe(e,"multiClassLabels","sigmoidCrossEntropy"),s=xe(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=xe(r,"weights","sigmoidCrossEntropy")),m(a.shape,s.shape,"Error in sigmoidCrossEntropy: "),i>0){var l=Re(i),c=Re(1),p=Re(.5);a=a.mul(c.sub(l)).add(p.mul(l))}var h=function(t,e){var n=xe(t,"labels","sigmoidCrossEntropyWithLogits"),r=xe(e,"logits","sigmoidCrossEntropyWithLogits");m(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var i=r.relu(),o=r.mul(n),a=r.abs().neg().exp().log1p();return i.sub(o).add(a)}(a,s);return pl(h,u,o)}}),vl=Se({softmaxCrossEntropy_:function(e,n,r,i,o){void 0===i&&(i=0),void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=xe(e,"onehotLabels","softmaxCrossEntropy"),s=xe(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=xe(r,"weights","softmaxCrossEntropy")),m(a.shape,s.shape,"Error in softmaxCrossEntropy: "),i>0){var l=Re(i),c=Re(1),p=Re(a.shape[1]);a=a.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 Vt(function(t,e){var r=e.logSumExp([n],!0),i=e.toFloat().sub(r);return{value:i.mul(t).neg().sum([n]),gradFunc:function(e){var r=re(e.shape,[n]);return[e.reshape(r).mul(t.toFloat().sub(i.exp())),e.reshape(r).mul(i.exp().sub(t.toFloat()))]}}})(t,e)}(a,s);return pl(h,u,o)}}),bl=Object.freeze({get Reduction(){return t.Reduction},absoluteDifference:cl,computeWeightedLoss:pl,cosineDistance:hl,hingeLoss:fl,huberLoss:dl,logLoss:ml,meanSquaredError:gl,sigmoidCrossEntropy:yl,softmaxCrossEntropy:vl});function wl(t,e){return void 0===e&&(e=!1),Bt.engine.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],i=Go(n),o=t.clone(),a=Oe([[1]],[1,1]),s=a.clone(),u=n>=r?r:n,l=function(t){var e,u=o,l=s,c=i;e=Bt.engine.tidy(function(){var e=o.slice([t,t],[n-t,1]),u=e.norm(),l=o.slice([t,t],[1,1]),c=l.sign().neg(),p=l.sub(c.mul(u)),h=e.div(p);s=1===h.shape[0]?a.clone():a.concat(h.slice([1,0],[h.shape[0]-1,h.shape[1]]),0);var f=c.matMul(p).div(u).neg(),d=o.slice([t,0],[n-t,r]),m=f.mul(s);o=0===t?d.sub(m.matMul(s.transpose().matMul(d))):o.slice([0,0],[t,r]).concat(d.sub(m.matMul(s.transpose().matMul(d))),0);var g=i.slice([0,t],[n,i.shape[1]-t]);return i=0===t?g.sub(g.matMul(s).matMul(m.transpose())):i.slice([0,0],[n,t]).concat(g.sub(g.matMul(s).matMul(m.transpose())),1),[s,o,i]}),s=e[0],o=e[1],i=e[2],Ht([u,l,c])},c=0;c<u;++c)l(c);return!e&&n>r&&(i=i.slice([0,0],[n,r]),o=o.slice([0,0],[r,r])),[i,o]})}var xl=Se({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,d(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){d(t[e].shape[0]===n,function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"})},i=1;i<t.length;++i)r(i)}else e=!0,t=Io(t,t.shape[0],0).map(function(t){return ia(t,[0])});d(t.length<=t[0].shape[0],function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."});var o=[],a=t,s=function(t){o.push(Bt.engine.tidy(function(){var e=a[t];if(t>0)for(var n=0;n<t;++n){var r=Zs(o[n].mulStrict(e)).mul(o[n]);e=e.sub(r)}return e.div(Hu(e,"euclidean"))}))};for(i=0;i<t.length;++i)s(i);return e?oa(o,0):o}}),Nl=Se({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 wl(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce(function(t,e){return t*e}),r=[],i=[];return ua(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0).forEach(function(t){var n=wl(t,e),o=n[0],a=n[1];r.push(o),i.push(a)}),[oa(r,0).reshape(t.shape),oa(i,0).reshape(t.shape)]}}),Sl=Object.freeze({gramSchmidt:xl,qr:Nl});function Cl(t,e,n,r,i){null==r&&(r=.5),null==i&&(i=Number.NEGATIVE_INFINITY);var o=t.shape[0];return n=Math.min(n,o),d(0<=r&&r<=1,function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"}),d(2===t.rank,function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"}),d(4===t.shape[1],function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]}),d(1===e.rank,function(){return"scores must be a 1D tensor"}),d(e.shape[0]===o,function(){return"scores has incompatible shape with boxes. Expected "+o+", but was "+e.shape[0]}),{maxOutputSize:n,iouThreshold:r,scoreThreshold:i}}var El=Se({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=xe(t,"images","resizeBilinear");d(3===r.rank||4===r.rank,function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."}),d(2===e.length,function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."});var i=r,o=!1;3===r.rank&&(o=!0,i=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var a=e[0],s=e[1],u=Bt.engine.runKernel(function(t,e){return t.resizeBilinear(i,a,s,n)},{batchImages:i},function(t,e){return{batchImages:function(){return Bt.engine.runKernel(function(e){return e.resizeBilinearBackprop(t,i,n)},{})}}});return o?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Il=Se({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=xe(t,"images","resizeNearestNeighbor");d(3===r.rank||4===r.rank,function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."}),d(2===e.length,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."}),d("float32"===r.dtype||"int32"===r.dtype,function(){return"`images` must have `int32` or `float32` as dtype"});var i=r,o=!1;3===r.rank&&(o=!0,i=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var a=e[0],s=e[1],u=Bt.engine.runKernel(function(t,e){return t.resizeNearestNeighbor(i,a,s,n)},{batchImages:i},function(t,e){return{batchImages:function(){return Bt.engine.runKernel(function(e){return e.resizeNearestNeighborBackprop(t,i,n)},{})}}});return o?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),kl=Se({nonMaxSuppression_:function(t,e,n,r,i){void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY);var o=xe(t,"boxes","nonMaxSuppression"),a=xe(e,"scores","nonMaxSuppression"),s=Cl(o,a,n,r,i);return n=s.maxOutputSize,r=s.iouThreshold,i=s.scoreThreshold,Bt.engine.runKernel(function(t){return t.nonMaxSuppression(o,a,n,r,i)},{$boxes:o})}}),Al=function(t,e,n,r,a){return void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),i(this,void 0,void 0,function(){var i,s,u,l,c,p;return o(this,function(o){switch(o.label){case 0:return i=xe(t,"boxes","nonMaxSuppressionAsync"),s=xe(e,"scores","nonMaxSuppressionAsync"),u=Cl(i,s,n,r,a),n=u.maxOutputSize,r=u.iouThreshold,a=u.scoreThreshold,[4,i.data()];case 1:return l=o.sent(),[4,s.data()];case 2:return c=o.sent(),p=Ze(l,c,n,r,a),i!==t&&i.dispose(),s!==e&&s.dispose(),[2,p]}})})},Tl=Se({cropAndResize_:function(t,e,n,r,i,o){var a=xe(t,"image","cropAndResize","float32"),s=xe(e,"boxes","cropAndResize","float32"),u=xe(n,"boxInd","cropAndResize","int32");i=i||"bilinear",o=o||0;var l=s.shape[0];return d(4===a.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+a.rank+"."}),d(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."}),d(1===u.rank&&u.shape[0]===l,function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."}),d(2===r.length,function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."}),d(r[0]>=1&&r[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+r}),d("bilinear"===i||"nearest"===i,function(){return"method must be bilinear or nearest, but was "+i}),Bt.engine.runKernel(function(t,e){return t.cropAndResize(a,s,u,r,i,o)},{$image:a,$boxes:s})}}),Rl=Object.freeze({resizeBilinear:El,resizeNearestNeighbor:Il,nonMaxSuppression:kl,nonMaxSuppressionAsync:Al,cropAndResize:Tl});var Dl=Se({matMul_:function(t,e,n,r,i,o){var a;void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o="linear");var s=xe(t,"a","fused matMul"),u=xe(e,"b","fused matMul");a=bt(s,u),s=a[0],u=a[1];var l=n?s.shape[s.rank-2]:s.shape[s.rank-1],c=r?u.shape[u.rank-1]:u.shape[u.rank-2],p=n?s.shape[s.rank-1]:s.shape[s.rank-2],h=r?u.shape[u.rank-2]:u.shape[u.rank-1],f=s.shape.slice(0,-2),m=u.shape.slice(0,-2),g=v(f),y=v(m);d(s.rank>=2&&u.rank>=2&&s.rank===u.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+s.rank+" and "+u.rank+"."}),d(b(f,m),function(){return"Error in fused matMul: outer dimensions ("+f+") and ("+m+") of Tensors with shapes "+s.shape+" and "+u.shape+" must match."}),d(l===c,function(){return"Error in fused matMul: inner shapes ("+l+") and ("+c+") of Tensors with shapes "+s.shape+" and "+u.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var w,x=s.shape.slice(0,-2).concat([p,h]),N=n?s.as3D(g,l,p):s.as3D(g,p,l),S=r?u.as3D(y,h,c):u.as3D(y,c,h);null!=i&&un(x,(w=bt(w=xe(i,"bias","fused matMul"),s)[0]).shape);var C={$a:N,$b:S};return null!=i&&(C.$bias=w),Bt.engine.runKernel(function(t,e){return e(t.fusedBatchMatMul(N,S,n,r,w,o))},C,function(t,e){var a,s=e[0];if(null==o||"linear"===o)a=t;else{if("relu"!==o)throw new Error("Gradient for activation "+o+" has not been implemented yet.");a=t.mul(s.step())}var u={};return null!=i&&(u={$bias:function(){var t=a,e=sn(w.shape,a.shape);return e.length>0&&(t=t.sum(e)),t.reshape(w.shape)}}),n||r?!n&&r?Object.assign({$a:function(){return a.matMul(S,!1,!1)},$b:function(){return a.matMul(N,!0,!1)}},u):n&&!r?Object.assign({$a:function(){return S.matMul(a,!1,!0)},$b:function(){return N.matMul(a,!1,!1)}},u):Object.assign({$a:function(){return S.matMul(a,!0,!0)},$b:function(){return a.matMul(N,!0,!0)}},u):Object.assign({$a:function(){return a.matMul(S,!1,!0)},$b:function(){return N.matMul(a,!0,!1)}},u)}).reshape(x)}}),Ol=Object.freeze({matMul:Dl}),_l=Object.freeze({image:Rl,linalg:Sl,losses:bl,spectral:sl,fused:Ol,op:Se,batchNormalization2d:Ja,batchNormalization3d:Za,batchNormalization4d:Qa,batchNormalization:ts,batchNorm:es,batchNorm2d:ns,batchNorm3d:rs,batchNorm4d:is,complex:Ie,real:ke,imag:Ae,concat:xo,concat1d:No,concat2d:So,concat3d:Co,concat4d:Eo,split:Io,conv1d:ys,conv2d:vs,conv3d:bs,conv2dDerFilter:ws,depthwiseConv2d:xs,separableConv2d:Ns,conv2dTranspose:Ss,matMul:Cs,dot:Es,outerProduct:Is,reverse:ks,reverse1d:As,reverse2d:Ts,reverse3d:Rs,reverse4d:Ds,maxPool:Ms,avgPool:Ls,pool:Fs,slice:zs,slice1d:Ps,slice2d:Bs,slice3d:Us,slice4d:Ws,abs:fa,acos:da,acosh:ma,asin:ga,asinh:ya,atan:va,atanh:ba,ceil:wa,clipByValue:xa,cos:Na,cosh:Sa,erf:Ca,exp:Ea,expm1:Ia,floor:ka,log:Aa,log1p:Ta,logSigmoid:Ra,neg:Da,reciprocal:Oa,round:_a,rsqrt:Ma,sigmoid:La,sign:Fa,sin:za,sinh:Pa,softplus:Ba,sqrt:Ua,square:Wa,step:Va,tan:ja,tanh:qa,all:js,any:qs,argMax:Gs,argMin:Hs,logSumExp:Ks,max:$s,mean:Xs,min:Ys,moments:Js,sum:Zs,prod:Qs,equal:tu,equalStrict:eu,greater:nu,greaterEqual:ru,greaterEqualStrict:iu,greaterStrict:ou,less:au,lessEqual:su,lessEqualStrict:uu,lessStrict:lu,notEqual:cu,notEqualStrict:pu,add:hu,addN:fu,addStrict:du,atan2:mu,div:gu,divStrict:yu,floorDiv:vu,maximum:bu,maximumStrict:wu,minimum:xu,minimumStrict:Nu,mod:Su,modStrict:Cu,mul:Eu,mulStrict:Iu,pow:ku,powStrict:Au,squaredDifference:Tu,squaredDifferenceStrict:Ru,sub:Du,subStrict:Ou,elu:Bu,leakyRelu:Uu,prelu:Wu,relu:Vu,selu:ju,logicalAnd:_u,logicalNot:Mu,logicalOr:Lu,logicalXor:Fu,where:zu,whereAsync:Pu,buffer:zo,print:Po,batchToSpaceND:Bo,cast:Uo,clone:Wo,cumsum:Vo,depthToSpace:jo,expandDims:qo,eye:Go,multinomial:Ho,oneHot:Ko,pad:$o,pad1d:Xo,pad2d:Yo,pad3d:Jo,pad4d:Zo,rand:Qo,randomNormal:ta,randomUniform:ea,reshape:na,spaceToBatchND:ra,squeeze:ia,stack:oa,tile:aa,truncatedNormal:sa,unstack:ua,setdiff1dAsync:la,fill:Be,linspace:Ue,ones:ze,range:We,scalar:Re,tensor:Te,tensor1d:De,tensor2d:Oe,tensor3d:_e,tensor4d:Me,tensor5d:Le,tensor6d:Fe,zeros:Pe,onesLike:Ve,zerosLike:je,transpose:qu,softmax:Ce,logSoftmax:Ee,localResponseNormalization:Gu,norm:Hu,gather:Xu,unsortedSegmentSum:Yu,basicLSTMCell:Ju,multiRNNCell:Zu,movingAverage:Qu,stridedSlice:tl,topk:el,scatterND:nl,fft:rl,ifft:il,rfft:ol,irfft:al,sparseToDense:ul,gatherND:ll});var Ml=function(){function t(){this.blockSize=48,this.firstUse=!0,Bt.get("IS_BROWSER")&&(this.fromPixels2DContext=document.createElement("canvas").getContext("2d"))}return t.prototype.setDataMover=function(t){this.data=new qe(t)},t.prototype.register=function(t,e,n){if(this.firstUse&&(this.firstUse=!1,Bt.get("IS_NODE")&&Xt("\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")),this.data.has(t))throw new Error("Data buffer is already registered");this.data.set(t,{dtype:n})},t.prototype.write=function(t,e){if(null==e)throw new Error("MathBackendCPU.write(): values can not be null");this.data.get(t).values=e},t.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n,r;if(Bt.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,t.width,t.height).data;else if(t instanceof ImageData)n=t.data;else{if(!(t instanceof HTMLImageElement||t instanceof HTMLVideoElement))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, 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=t.width,this.fromPixels2DContext.canvas.height=t.height,this.fromPixels2DContext.drawImage(t,0,0,t.width,t.height),n=this.fromPixels2DContext.getImageData(0,0,t.width,t.height).data}if(4===e)r=new Int32Array(n);else{var i=t.width*t.height;r=new Int32Array(i*e);for(var o=0;o<i;o++)for(var a=0;a<e;++a)r[o*e+a]=n[4*o+a]}return _e(r,[t.height,t.width,e],"int32")},t.prototype.read=function(t){return i(this,void 0,void 0,function(){return o(this,function(e){return[2,this.readSync(t)]})})},t.prototype.readSync=function(t){var e=this.data.get(t),n=e.dtype,r=e.complexTensors;return"complex64"===n?$e(r.real.dataSync(),r.imag.dataSync()):this.data.get(t).values},t.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)}},t.prototype.time=function(t){return i(this,void 0,void 0,function(){var e;return o(this,function(n){return e=K(),t(),[2,{kernelMs:K()-e}]})})},t.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."]}},t.prototype.complex=function(t,e){var n=ut.make(t.shape,{},"complex64");return this.data.get(n.dataId).complexTensors={real:Bt.engine.keep(t.clone()),imag:Bt.engine.keep(e.clone())},n},t.prototype.real=function(t){return this.data.get(t.dataId).complexTensors.real.clone()},t.prototype.imag=function(t){return this.data.get(t.dataId).complexTensors.imag.clone()},t.prototype.assertNotComplex=function(t,e){Array.isArray(t)||(t=[t]),t.forEach(function(t){null!=t&&d("complex64"!==t.dtype,function(){return e+" does not support complex64 tensors."})})},t.prototype.slice=function(t,e,n){if(this.assertNotComplex(t,"slice"),ye(t.shape,e,n)){var r=ve(e,t.strides),i=v(n);return Te(t.dataSync().subarray(r,r+i),n,t.dtype)}for(var o=zo(n,t.dtype),a=t.bufferSync(),s=0;s<o.size;++s){var u=o.indexToLoc(s).map(function(t,n){return t+e[n]});o.values[s]=a.get.apply(a,u)}return o.toTensor()},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s,u){this.assertNotComplex(t,"stridedSlice");var l=de(t.shape,e,n,r,i,o,a,s,u),c=l[0],p=l[1],h=l[2],f=p.filter(function(t,e){return-1===h.indexOf(e)});if(f.some(function(t){return 0===t}))return Te([],f);for(var d=zo(p,t.dtype),m=t.bufferSync(),g=0;g<d.size;g++){for(var y=d.indexToLoc(g),v=new Array(y.length),b=0;b<v.length;b++)v[b]=y[b]*r[b]+c[b];d.set.apply(d,[m.get.apply(m,v)].concat(y))}return d.toTensor().reshape(f)},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,o=0;o<t.rank;o++)o!==e&&(r[i++]=t.shape[o]);var a=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(o=0;o<u.length;o++)a[e]=o,u[o]=this.slice(t,a,s).reshape(r);return u},t.prototype.reverse=function(t,e){this.assertNotComplex(t,"reverse");for(var n=zo(t.shape,t.dtype),r=t.bufferSync(),i=function(i){var o=n.indexToLoc(i),a=o.slice();e.forEach(function(e){return a[e]=t.shape[e]-1-a[e]}),n.set.apply(n,[r.get.apply(r,a)].concat(o))},o=0;o<n.size;o++)i(o);return n.toTensor()},t.prototype.concat=function(t,e){this.assertNotComplex(t,"concat");var n=t.map(function(t){var n=v(t.shape.slice(e));return t.as2D(-1,n)}),r=ue(n.map(function(t){return t.shape}),1),i=zo(r,t[0].dtype).values;if(1===n[0].shape[0]){var o=0;n.forEach(function(t){i.set(t.dataSync(),o),o+=t.size})}else{var a=0;n.forEach(function(t){for(var e=t.dataSync(),n=0,o=0;o<t.shape[0];++o)for(var s=o*r[1]+a,u=0;u<t.shape[1];++u)i[s+u]=e[n++];a+=t.shape[1]})}var s=ue(t.map(function(t){return t.shape}),e);return Te(i,s,t[0].dtype)},t.prototype.neg=function(t){return this.assertNotComplex(t,"neg"),this.multiply(Re(-1),t)},t.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,yt(t.dtype,e.dtype),function(t,e){return t+e})},t.prototype.addN=function(t){this.assertNotComplex(t,"addN");for(var e=t.map(function(t){return t.dataSync()}),n=zo(t[0].shape,t[0].dtype),r=n.values,i=0;i<t.length;i++)for(var o=e[i],a=0;a<r.length;a++)r[a]+=o[a];return n.toTensor()},t.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,yt(t.dtype,e.dtype),function(t,e){return t-e})},t.prototype.pow=function(t,e){return this.assertNotComplex([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.pow(t,e)})},t.prototype.batchMatMul=function(t,e,n,r){this.assertNotComplex([t,e],"matMul");for(var i=n?t.shape[1]:t.shape[2],o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],s=t.shape[0],u=t.dataSync(),l=e.dataSync(),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],y=d[2],v=o*a,b=zo([s,o,a],t.dtype),w=b.values,x=this.blockSize,N=0;N<s;N++)for(var S=0;S<o;S+=x)for(var C=0;C<a;C+=x)for(var E=0;E<i;E+=x)for(var I=Math.min(S+x,o),k=Math.min(C+x,a),A=Math.min(E+x,i),T=S;T<I;T++)for(var R=C;R<k;R++){for(var D=0,O=E;O<A;O++)D+=u[N*p+T*h+O*f]*l[O*m+R*g+N*y];w[N*v+(T*a+R)]+=D}return b.toTensor()},t.prototype.fusedBatchMatMul=function(t,e,n,r,i,o){var a=this.batchMatMul(t,e,n,r);return i&&(a=this.add(a,i)),o&&(a=function(t,e,n){if("linear"===e)return t.linear(n);if("relu"===e)return t.relu(n);throw new Error("Activation "+e+" has not been implemented for the CPU backend.")}(this,o,a)),a},t.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,yt(t.dtype,e.dtype),function(t,e){return t*e})},t.prototype.realDivide=function(t,e){return this.assertNotComplex([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},t.prototype.floorDiv=function(t,e){return this.assertNotComplex([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},t.prototype.sum=function(t,e){this.assertNotComplex(t,"sum"),ie("sum",e,t.rank);for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,yt(t.dtype,"int32")),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=0,h=0;h<a;++h)p+=u[c+h];s[l]=p}return o},t.prototype.prod=function(t,e){this.assertNotComplex(t,"sum");for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,yt(t.dtype,"int32")),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=1,h=0;h<a;++h)p*=u[c+h];s[l]=p}return o},t.prototype.unsortedSegmentSum=function(t,e,n){this.assertNotComplex(t,"unsortedSegmentSum");for(var r=[],i=t.rank-e.rank,o=0;o<i;++o)e=e.expandDims(o+1);for(o=0;o<n;++o){var a=Re(o,"int32"),s=tu(a,e).asType("float32").mul(t).sum(0);r.push(s)}return oa(r)},t.prototype.argMin=function(t,e){this.assertNotComplex(t,"argMin");var n=[e];ie("argMin",n,t.rank);for(var r=ne(t.shape,n),i=r[0],o=r[1],a=Pe(i,"int32"),s=v(o),u=a.dataSync(),l=t.dataSync(),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 a},t.prototype.argMax=function(t,e){this.assertNotComplex(t,"argMax");var n=[e];ie("argMax",n,t.rank);for(var r=ne(t.shape,n),i=r[0],o=r[1],a=Pe(i,"int32"),s=v(o),u=a.dataSync(),l=t.dataSync(),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 a},t.prototype.cumsum=function(t,e,n,r){if(this.assertNotComplex(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var i=yt(t.dtype,"int32"),o=Pe(t.shape,i),a=o.dataSync(),s=t.dataSync(),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)a[h]=n?0:s[h];else{var f=l(c,p-1);a[h]=n?s[f]+a[f]:s[h]+a[f]}}return o},t.prototype.equal=function(t,e){return this.assertNotComplex([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},t.prototype.notEqual=function(t,e){return this.assertNotComplex([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},t.prototype.less=function(t,e){return this.assertNotComplex([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},t.prototype.lessEqual=function(t,e){return this.assertNotComplex([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},t.prototype.greater=function(t,e){return this.assertNotComplex([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},t.prototype.greaterEqual=function(t,e){return this.assertNotComplex([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},t.prototype.logicalNot=function(t){this.assertNotComplex(t,"logicalNot");for(var e=t.dataSync(),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return ut.make(t.shape,{values:n},"bool")},t.prototype.logicalAnd=function(t,e){return this.assertNotComplex([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},t.prototype.logicalOr=function(t,e){return this.assertNotComplex([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},t.prototype.select=function(t,e,n){this.assertNotComplex([t,e,n],"select");for(var r=t.dataSync(),i=e.dataSync(),o=n.dataSync(),a=Pe(e.shape,yt(e.dtype,n.dtype)),s=a.dataSync(),u=0,l=0===t.rank||t.rank>1||1===e.rank?1:e.shape[1],c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=i[c]:s[u++]=o[c];return a},t.prototype.where=function(t){this.assertNotComplex([t],"where");var e=t.dataSync();return ca(t.shape,e)},t.prototype.topk=function(t,e,n){return this.assertNotComplex(t,"topk"),en(t.dataSync(),t.shape,t.dtype,e)},t.prototype.min=function(t,e){this.assertNotComplex(t,"min"),ie("min",e,t.rank);for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,t.dtype),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=u[c],h=0;h<a;++h){var f=u[c+h];f<p&&(p=f)}s[l]=p}return o},t.prototype.minimum=function(t,e){return this.assertNotComplex([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},t.prototype.mod=function(t,e){return this.assertNotComplex([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})},t.prototype.max=function(t,e){this.assertNotComplex(t,"max"),ie("max",e,t.rank);for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,t.dtype),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=u[c],h=0;h<a;++h){var f=u[c+h];f>p&&(p=f)}s[l]=p}return o},t.prototype.maximum=function(t,e){return this.assertNotComplex([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},t.prototype.all=function(t,e){this.assertNotComplex(t,"all"),ie("all",e,t.rank);for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,t.dtype),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=u[c],h=0;h<a;++h){var f=u[c+h];p=p&&f}s[l]=p}return o},t.prototype.any=function(t,e){this.assertNotComplex(t,"any"),ie("any",e,t.rank);for(var n=ne(t.shape,e),r=n[0],i=n[1],o=Pe(r,t.dtype),a=v(i),s=o.dataSync(),u=t.dataSync(),l=0;l<s.length;++l){for(var c=l*a,p=u[c],h=0;h<a;++h){var f=u[c+h];p=p||f}s[l]=p}return o},t.prototype.squaredDifference=function(t,e){return this.assertNotComplex([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},t.prototype.ceil=function(t){this.assertNotComplex(t,"ceil");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return ut.make(t.shape,{values:n})},t.prototype.floor=function(t){this.assertNotComplex(t,"floor");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return ut.make(t.shape,{values:n})},t.prototype.sign=function(t){this.assertNotComplex(t,"x");for(var e=t.dataSync(),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 ut.make(t.shape,{values:n})},t.prototype.round=function(t){this.assertNotComplex(t,"round");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=Math.floor(e[r]);e[r]-i<.5?n[r]=Math.floor(e[r]):e[r]-i>.5?n[r]=Math.ceil(e[r]):n[r]=i%2==0?i:i+1}return ut.make(t.shape,{values:n})},t.prototype.exp=function(t){this.assertNotComplex(t,"exp");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return ut.make(t.shape,{values:n})},t.prototype.expm1=function(t){this.assertNotComplex(t,"expm1");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return ut.make(t.shape,{values:n})},t.prototype.log=function(t){this.assertNotComplex(t,"log");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log(i)}return ut.make(t.shape,{values:n})},t.prototype.log1p=function(t){this.assertNotComplex(t,"log1p");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.log1p(i)}return ut.make(t.shape,{values:n})},t.prototype.sqrt=function(t){this.assertNotComplex(t,"sqrt");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=Math.sqrt(i)}return ut.make(t.shape,{values:n})},t.prototype.rsqrt=function(t){this.assertNotComplex(t,"rsqrt");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=1/Math.sqrt(i)}return ut.make(t.shape,{values:n})},t.prototype.square=function(t){this.assertNotComplex(t,"square");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r){var i=e[r];n[r]=i*i}return ut.make(t.shape,{values:n})},t.prototype.reciprocal=function(t){this.assertNotComplex(t,"reciprocal");for(var e=t.dataSync(),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return ut.make(t.shape,{values:n})},t.prototype.linear=function(t){return t},t.prototype.relu=function(t){this.assertNotComplex(t,"relu");for(var e=Pe(t.shape,t.dtype),n=e.dataSync(),r=t.dataSync(),i=0;i<r.length;++i)n[i]=Math.max(0,r[i]);return e},t.prototype.prelu=function(t,e){return this.assertNotComplex([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},t.prototype.elu=function(t){this.assertNotComplex(t,"elu");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r){var i=n[r];e[r]=i>=0?i:Math.exp(i)-1}return ut.make(t.shape,{values:e})},t.prototype.eluDer=function(t,e){this.assertNotComplex([t,e],"eluDer");for(var n=new Float32Array(e.size),r=e.dataSync(),i=t.dataSync(),o=0;o<r.length;++o){var a=r[o];n[o]=a>=1?i[o]:i[o]*(a+1)}return ut.make(e.shape,{values:n})},t.prototype.selu=function(t){this.assertNotComplex(t,"selu");for(var e=ro,n=io,r=new Float32Array(t.size),i=t.dataSync(),o=0;o<i.length;++o){var a=i[o];r[o]=a>=0?n*a:e*(Math.exp(a)-1)}return ut.make(t.shape,{values:r})},t.prototype.clip=function(t,e,n){this.assertNotComplex(t,"clip");for(var r=new Float32Array(t.size),i=t.dataSync(),o=0;o<i.length;++o){var a=i[o];r[o]=a>n?n:a<e?e:a}return ut.make(t.shape,{values:r})},t.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return ut.make(t.shape,{values:e})},t.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<t.size;++r){var i=n[2*r],o=n[2*r+1];e[r]=Math.hypot(i,o)}return ut.make(t.shape,{values:e})},t.prototype.int=function(t){this.assertNotComplex(t,"int");for(var e=new Int32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=n[r];return ut.make(t.shape,{values:e},"int32")},t.prototype.sigmoid=function(t){this.assertNotComplex(t,"sigmoid");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return ut.make(t.shape,{values:e})},t.prototype.softplus=function(t){this.assertNotComplex(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=t.dataSync(),i=0;i<r.length;++i){var o,a=r[i]>-e,s=r[i]<e,u=Math.exp(r[i]);o=s?u:a?r[i]:Math.log(1+u),n[i]=o}return ut.make(t.shape,{values:n})},t.prototype.sin=function(t){this.assertNotComplex(t,"sin");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return ut.make(t.shape,{values:e})},t.prototype.cos=function(t){this.assertNotComplex(t,"cos");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return ut.make(t.shape,{values:e})},t.prototype.tan=function(t){this.assertNotComplex(t,"tan");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return ut.make(t.shape,{values:e})},t.prototype.asin=function(t){this.assertNotComplex(t,"asin");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return ut.make(t.shape,{values:e})},t.prototype.acos=function(t){this.assertNotComplex(t,"acos");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atan=function(t){this.assertNotComplex(t,"atan");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atan2=function(t,e){return this.assertNotComplex([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},t.prototype.sinh=function(t){this.assertNotComplex(t,"sinh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.cosh=function(t){this.assertNotComplex(t,"cosh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.tanh=function(t){this.assertNotComplex(t,"tanh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=x(n[r]);return ut.make(t.shape,{values:e})},t.prototype.asinh=function(t){this.assertNotComplex(t,"asinh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.acosh=function(t){this.assertNotComplex(t,"acosh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atanh=function(t){this.assertNotComplex(t,"atanh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.erf=function(t){this.assertNotComplex(t,"erf");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r){var i=n[r],o=1/(1+.3275911*i);e[r]=1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i)}return ut.make(t.shape,{values:e})},t.prototype.step=function(t,e){void 0===e&&(e=0),this.assertNotComplex(t,"step");for(var n=new Float32Array(t.size),r=t.dataSync(),i=0;i<r.length;++i){var o=r[i];isNaN(o)?n[i]=NaN:n[i]=o>0?1:e}return ut.make(t.shape,{values:n})},t.prototype.conv2d=function(t,e,n){this.assertNotComplex([t,e],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=zo(n.outShape,t.dtype),c=t.dataSync(),p=e.dataSync(),h=l.values,f=0;f<n.batchSize;++f)for(var d=f*t.strides[0],m=f*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*o;if(!(w<0||w>=n.inHeight))for(var x=b*e.strides[0],N=d+w*t.strides[1],S=0;S<n.outWidth;++S)for(var C=y+S*n.outChannels,E=S*n.strideWidth-u,I=0;I<i;I++){var k=E+I*a;if(!(k<0||k>=n.inWidth))for(var A=x+I*e.strides[1],T=N+k*n.inChannels,R=A,D=0;D<n.inChannels;++D){for(var O=c[T+D],_=0;_<n.outChannels;++_)h[C+_]+=O*p[R+_];R+=n.outChannels}}}return l.toTensor()},t.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,i=n.filterHeight,o=n.filterWidth,a=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=zo(n.outShape,t.dtype),f=t.dataSync(),d=e.dataSync(),m=h.values,g=0;g<n.batchSize;++g)for(var y=g*t.strides[0],v=g*h.strides[0],b=0;b<n.outDepth;++b)for(var w=v+b*h.strides[1],x=b*n.strideDepth-l,N=0;N<r;N++){var S=x+N*a;if(!(S<0||S>=n.inDepth))for(var C=N*e.strides[0],E=y+S*t.strides[1],I=0;I<n.outHeight;++I)for(var k=w+I*h.strides[2],A=I*n.strideHeight-p,T=0;T<i;T++){var R=A+T*s;if(!(R<0||R>=n.inHeight))for(var D=C+T*e.strides[1],O=E+R*t.strides[2],_=0;_<n.outWidth;++_)for(var M=k+_*n.outChannels,L=_*n.strideWidth-c,F=0;F<o;F++){var z=L+F*u;if(!(z<0||z>=n.inWidth))for(var P=D+F*e.strides[2],B=O+z*n.inChannels,U=P,W=0;W<n.inChannels;++W){for(var V=f[B+W],j=0;j<n.outChannels;++j)m[M+j]+=V*d[U+j];U+=n.outChannels}}}}return h.toTensor()},t.prototype.conv2dDerInput=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerInput");for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=t.dataSync(),c=t.strides,p=c[0],h=c[1],f=c[2],d=e.dataSync(),m=e.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,S=n.inHeight,C=n.inWidth,E=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=0;O<b;++O)for(var _=0;_<N;++_)for(var M=0;M<S;++M)for(var L=M-R,F=Math.max(0,Math.ceil(L/A)),z=Math.min(I,(w+L)/A),P=0;P<C;++P){for(var B=P-D,U=Math.max(0,Math.ceil(B/T)),W=Math.min(k,(x+B)/T),V=0,j=F;j<z;++j)for(var q=j*A-L,G=U;G<W;++G)for(var H=p*O+h*j+f*G,K=g*(w-1-q)+y*(x-1-(G*T-B))+v*_,$=0;$<E;++$)V+=l[H+$]*d[K+$];i[a*O+s*M+u*P+_]=V}return r.toTensor()},t.prototype.conv3dDerInput=function(t,e,n){for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=o[3],c=t.dataSync(),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=e.dataSync(),y=e.strides,v=y[0],b=y[1],w=y[2],x=y[3],N=n.batchSize,S=n.filterDepth,C=n.filterHeight,E=n.filterWidth,I=n.inChannels,k=n.inDepth,A=n.inHeight,T=n.inWidth,R=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,M=n.strideDepth,L=n.strideHeight,F=n.strideWidth,z=S-1-n.padInfo.front,P=C-1-n.padInfo.top,B=E-1-n.padInfo.left,U=0;U<N;++U)for(var W=0;W<I;++W)for(var V=0;V<k;++V)for(var j=V-z,q=Math.max(0,Math.ceil(j/M)),G=Math.min(D,(S+j)/M),H=0;H<A;++H)for(var K=H-P,$=Math.max(0,Math.ceil(K/L)),X=Math.min(O,(C+K)/L),Y=0;Y<T;++Y){for(var J=Y-B,Z=Math.max(0,Math.ceil(J/F)),Q=Math.min(_,(E+J)/F),tt=0,et=q;et<G;++et)for(var nt=et*M-j,rt=$;rt<X;++rt)for(var it=rt*L-K,ot=Z;ot<Q;++ot)for(var at=h*U+f*et+d*rt+m*ot,st=v*(S-1-nt)+b*(C-1-it)+w*(E-1-(ot*F-J))+x*W,ut=0;ut<R;++ut)tt+=c[at+ut]*g[st+ut];i[a*U+s*V+u*H+l*Y+W]=tt}return r.toTensor()},t.prototype.conv2dDerFilter=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=zo(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=t.bufferSync(),p=e.bufferSync(),h=0;h<o;++h)for(var f=Math.max(0,Math.ceil((l-h)/r)),d=Math.min(n.outHeight,(n.inHeight+l-h)/r),m=0;m<a;++m)for(var g=Math.max(0,Math.ceil((u-m)/i)),y=Math.min(n.outWidth,(n.inWidth+u-m)/i),v=0;v<n.inChannels;++v)for(var b=0;b<n.outChannels;++b){for(var w=0,x=0;x<n.batchSize;++x)for(var N=f;N<d;++N)for(var S=h+N*r-l,C=g;C<y;++C){var E=m+C*i-u;w+=c.get(x,S,E,v)*p.get(x,N,C,b)}s.set(w,h,m,v,b)}return s.toTensor()},t.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,i=n.strideHeight,o=n.strideWidth,a=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=zo(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=e.dataSync(),y=e.strides,v=y[0],b=y[1],w=y[2],x=y[3],N=t.dataSync(),S=t.strides,C=S[0],E=S[1],I=S[2],k=S[3],A=n.padInfo.front,T=n.padInfo.left,R=n.padInfo.top,D=0;D<a;++D)for(var O=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),M=D*h,L=0;L<s;++L)for(var F=Math.max(0,Math.ceil((R-L)/i)),z=Math.min(n.outHeight,(n.inHeight+R-L)/i),P=L*f+M,B=0;B<u;++B)for(var U=Math.max(0,Math.ceil((T-B)/o)),W=Math.min(n.outWidth,(n.inWidth+T-B)/o),V=B*d+P,j=0;j<n.inChannels;++j)for(var q=j*m+V,G=0;G<n.outChannels;++G){for(var H=0,K=0;K<n.batchSize;++K)for(var $=K*C,X=K*v,Y=O;Y<_;++Y)for(var J=(D+Y*r-A)*E+$,Z=Y*b+X,Q=F;Q<z;++Q)for(var tt=(L+Q*i-R)*I+J,et=Q*w+Z,nt=U;nt<W;++nt){var rt=nt*x+et;H+=N[(B+nt*o-T)*k+tt+j]*g[rt+G]}c[q+G]=H}return l.toTensor()},t.prototype.depthwiseConv2D=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=zo(n.outShape,t.dtype),p=t.dataSync(),h=e.dataSync(),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*o;if(!(x<0||x>=n.inHeight))for(var N=w*e.strides[0],S=m+x*t.strides[1],C=0;C<n.outWidth;++C)for(var E=v+C*c.strides[2],I=C*n.strideWidth-u,k=0;k<i;++k){var A=I+k*a;if(!(A<0||A>=n.inWidth))for(var T=N+k*e.strides[1],R=S+A*n.inChannels,D=E,O=T,_=0;_<n.inChannels;++_){for(var M=p[R+_],L=0;L<l;++L)f[D+L]+=M*h[O+L];D+=l,O+=l}}}return c.toTensor()},t.prototype.depthwiseConv2DDerInput=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerInput");for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=t.dataSync(),c=t.strides,p=c[0],h=c[1],f=c[2],d=e.dataSync(),m=e.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,S=n.inHeight,C=n.inWidth,E=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=E/N,_=0;_<b;++_)for(var M=0;M<N;++M)for(var L=0;L<S;++L)for(var F=L-R,z=Math.max(0,Math.ceil(F/A)),P=Math.min(I,(w+F)/A),B=0;B<C;++B){for(var U=B-D,W=Math.max(0,Math.ceil(U/T)),V=Math.min(k,(x+U)/T),j=0,q=z;q<P;++q)for(var G=q*A-F,H=W;H<V;++H)for(var K=p*_+h*q+f*H,$=g*(w-1-G)+y*(x-1-(H*T-U))+v*M,X=0;X<O;++X)j+=l[K+(M*O+X)]*d[$+X];i[a*_+s*L+u*B+M]=j}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=zo(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=t.bufferSync(),h=e.bufferSync(),f=0;f<o;++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<a;++g)for(var y=Math.max(0,Math.ceil((u-g)/i)),v=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var w=Math.trunc(b/c),x=b%c,N=0,S=0;S<n.batchSize;++S)for(var C=d;C<m;++C)for(var E=f+C*r-l,I=y;I<v;++I){var k=g+I*i-u;N+=p.get(S,E,k,w)*h.get(S,C,I,b)}s.set(N,f,g,w,x)}return s.toTensor()},t.prototype.tile=function(t,e){this.assertNotComplex(t,"tile");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var i=zo(n,t.dtype),o=t.bufferSync();for(r=0;r<i.values.length;++r){for(var a=i.indexToLoc(r),s=new Array(t.rank),u=0;u<s.length;u++)s[u]=a[u]%t.shape[u];var l=o.locToIndex(s);i.values[r]=o.values[l]}return i.toTensor()},t.prototype.pad=function(t,e,n){this.assertNotComplex(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),i=e.map(function(t){return t[0]}),o=t.bufferSync(),a=zo(r,t.dtype);0!==n&&a.values.fill(n);for(var s=0;s<t.size;s++){var u=o.indexToLoc(s),l=u.map(function(t,e){return t+i[e]});a.set.apply(a,[o.get.apply(o,u)].concat(l))}return a.toTensor()},t.prototype.transpose=function(t,e){this.assertNotComplex(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var i=t.dataSync(),o=zo(n,t.dtype),a=t.bufferSync();for(r=0;r<t.size;++r){for(var s=a.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[e[l]];var c=o.locToIndex(u);o.values[c]=i[r]}return o.toTensor()},t.prototype.gather=function(t,e,n){this.assertNotComplex([t,e],"gather");var r=t.shape.slice(),i=e.dataSync();r[n]=i.length;for(var o=zo(r,t.dtype),a=t.bufferSync(),s=0;s<o.size;++s){var u=o.indexToLoc(s),l=u.slice();l[n]=i[u[n]];var c=a.locToIndex(l);o.values[s]=a.values[c]}return o.toTensor()},t.prototype.batchToSpaceND=function(t,e,n){this.assertNotComplex([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=Yt(t.shape,e,r),o=Jt(i.length,e.length),a=Zt(t.shape,e,r),s=Qt(n,e.length),u=te(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){this.assertNotComplex([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=Yt(a.shape,e,r,!1),u=Jt(s.length,e.length,!1),l=Zt(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(l)},t.prototype.pool=function(t,e,n){this.assertNotComplex(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=t.dataSync(),f=zo(e.outShape,t.dtype),d=f.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],y=e.outShape[3],v=0;v<e.batchSize;++v)for(var b=v*m,w=v*t.strides[0],x=0;x<e.inChannels;++x)for(var N=0;N<e.outHeight;++N)for(var S=N*r-l,C=Math.max(0,S),E=Math.min(e.inHeight,s+S),I=b+N*g,k=0;k<e.outWidth;++k){for(var A=k*i-c,T=Math.max(0,A),R=Math.min(e.inWidth,u+A),D=p,O=0,_=0,M=C;M<E;M+=o){for(var L=w+M*t.strides[1],F=T;F<R;F+=a){var z=h[L+F*t.strides[2]+x];"max"===n&&z>D?D=z:"avg"===n&&(O+=z,_++)}if(isNaN(D))break}d[I+k*y+x]="avg"===n?O/_:D}return f.toTensor()},t.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},t.prototype.maxPoolPositions=function(t,e){for(var n=zo(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p=t.bufferSync(),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+=o;for(var y=Math.min(e.inHeight,s+m),v=0;v<e.outWidth;++v){for(var b=v*i-c,w=b;w<0;)w+=a;for(var x=Math.min(e.inWidth,u+b),N=Number.NEGATIVE_INFINITY,S=-1,C=g;C<y;C+=o)for(var E=C-m,I=w;I<x;I+=a){var k=I-b,A=p.get(h,C,I,f);A>N&&(N=A,S=E*u+k)}n.set(S,h,d,v,f)}}return n.toTensor()},t.prototype.maxPoolBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),o=r.strideHeight,a=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,h=l-1-r.padInfo.top,f=zo(e.shape,"float32"),d=i.bufferSync(),m=t.bufferSync(),g=0;g<r.batchSize;++g)for(var y=0;y<r.inChannels;++y)for(var v=0;v<r.inHeight;++v)for(var b=0;b<r.inWidth;++b){for(var w=v-h,x=b-p,N=0,S=0;S<l;S+=s){var C=(w+S)/o;if(!(C<0||C>=r.outHeight||Math.floor(C)!==C))for(var E=0;E<c;E+=u){var I=(x+E)/a;if(!(I<0||I>=r.outWidth||Math.floor(I)!==I)){var k=l*c-1-d.get(g,C,I,y)===S*c+E?1:0;0!==k&&(N+=m.get(g,C,I,y)*k)}}}f.set(N,g,v,b,y)}return f.toTensor()},t.prototype.avgPoolBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,h=l-1-n.padInfo.top,f=zo(e.shape,"float32"),d=1/(o*a),m=t.bufferSync(),g=0;g<n.batchSize;++g)for(var y=0;y<n.inChannels;++y)for(var v=0;v<n.inHeight;++v)for(var b=0;b<n.inWidth;++b){for(var w=v-h,x=b-p,N=0,S=0;S<l;S+=s){var C=(w+S)/r;if(!(C<0||C>=n.outHeight||Math.floor(C)!==C))for(var E=0;E<c;E+=u){var I=(x+E)/i;I<0||I>=n.outWidth||Math.floor(I)!==I||(N+=m.get(g,C,I,y))}}f.set(N*d,g,v,b,y)}return f.toTensor()},t.prototype.cast=function(t,e){return He(t,e,this)},t.prototype.reshape=function(t,e){return Ke(t,e)},t.prototype.avgPool=function(t,e){return this.assertNotComplex(t,"avgPool"),this.pool(t,e,"avg").toFloat()},t.prototype.resizeBilinear=function(t,e,n,r){this.assertNotComplex(t,"resizeBilinear");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],l=t.dataSync(),c=new Float32Array(v([o,e,n,u])),p=[r&&e>1?a-1:a,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<o;g++)for(var y=0;y<e;y++)for(var b=d*y,w=Math.floor(b),x=b-w,N=Math.min(a-1,Math.ceil(b)),S=g*t.strides[0]+w*t.strides[1],C=g*t.strides[0]+N*t.strides[1],E=0;E<n;E++)for(var I=m*E,k=Math.floor(I),A=I-k,T=Math.min(s-1,Math.ceil(I)),R=S+k*t.strides[2],D=C+k*t.strides[2],O=S+ +T*t.strides[2],_=C+T*t.strides[2],M=0;M<u;M++){var L=l[R+M],F=l[D+M],z=L+(l[O+M]-L)*A,P=z+(F+(l[_+M]-F)*A-z)*x;c[f++]=P}return Te(c,[o,e,n,u])},t.prototype.resizeBilinearBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*o*a*s),h=[n&&l>1?o-1:o,n&&c>1?a-1:a],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],g=t.dataSync(),y=0,v=0;v<i;v++)for(var b=v*e.strides[0],w=0;w<l;w++)for(var x=w*d,N=Math.floor(x),S=Math.min(Math.ceil(x),o-1),C=b+N*e.strides[1],E=b+S*e.strides[1],I=x-N,k=1-I,A=0;A<c;A++)for(var T=A*m,R=Math.floor(T),D=Math.min(Math.ceil(T),a-1),O=T-R,_=1-O,M=C+R*e.strides[2],L=C+D*e.strides[2],F=E+R*e.strides[2],z=E+D*e.strides[2],P=k*_,B=k*O,U=I*_,W=I*O,V=0;V<s;V++){var j=g[y++];p[M+V]+=j*P,p[L+V]+=j*B,p[F+V]+=j*U,p[z+V]+=j*W}return Me(p,[i,a,o,s],e.dtype)},t.prototype.resizeNearestNeighbor=function(t,e,n,r){this.assertNotComplex(t,"resizeNearestNeighbor");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],l=t.dataSync(),c=new Float32Array(o*e*n*u),p=[r&&e>1?a-1:a,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<o;g++)for(var y=g*t.strides[0],v=0;v<e;v++)for(var b=f*v,w=y+Math.min(a-1,r?Math.round(b):Math.floor(b))*t.strides[1],x=0;x<n;x++)for(var N=d*x,S=w+Math.min(s-1,r?Math.round(N):Math.floor(N))*t.strides[2],C=0;C<u;C++){var E=l[S+C];c[m++]=E}return Te(c,[o,e,n,u],t.dtype)},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*o*a*s),h=t.dataSync(),f=[n&&l>1?o-1:o,n&&c>1?a-1:a],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],y=1/m,v=1/g,b=2*Math.ceil(y)+2,w=2*Math.ceil(v)+2,x=0;x<i;x++)for(var N=x*e.strides[0],S=0;S<o;S++)for(var C=N+S*e.strides[1],E=Math.floor(S*y),I=Math.floor(E-b/2),k=0;k<a;k++)for(var A=C+k*e.strides[2],T=Math.floor(k*v),R=Math.floor(T-w/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var M=_+I;if(!(M<0||M>=l)){var L=N+M*t.strides[1],F=M*m;if(S===Math.min(o-1,n?Math.round(F):Math.floor(F)))for(var z=0;z<w;z++){var P=z+R;if(!(P<0||P>=c)){var B=L+P*t.strides[2],U=P*g;k===Math.min(a-1,n?Math.round(U):Math.floor(U))&&(O+=h[B+D])}}}}p[A+D]=O}return Me(p,e.shape,e.dtype)},t.prototype.batchNormalization=function(t,e,n,r,i,o){this.assertNotComplex([t,e,n,i,o],"batchNorm");for(var a=t.dataSync(),s=e.dataSync(),u=n.dataSync(),l=i?i.dataSync():new Float32Array([1]),c=o?o.dataSync():new Float32Array([0]),p=new Float32Array(a.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<a.length;++w)p[w]=c[g++]+(a[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),y>=m&&(y=0),v>=f&&(v=0),b>=d&&(b=0);return Me(p,t.shape)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){this.assertNotComplex(t,"localResponseNormalization4D");var o=t.shape[3],a=o-1,s=t.dataSync(),u=v(t.shape),l=new Float32Array(u);function c(t){for(var n=t%o,r=t-n+Math.max(0,n-e),i=t-n+Math.min(n+e,a),u=0;r<=i;r++){var 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,-i);l[p]=f}return Me(l,t.shape)},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){this.assertNotComplex(t,"LRNGrad");for(var s=t.shape[3],u=t.dataSync(),l=e.dataSync(),c=n.dataSync(),p=new Float32Array(v(t.shape)),h=v(t.shape),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),y=0,b=m;b<g;b++)y+=Math.pow(l[b],2);for(y=o*y+i,b=m;b<g;b++){var w=-2*o*a*l[b]*c[f]/y;f===b&&(w+=Math.pow(y,-a)),w*=u[f],p[b]+=w}}return Me(p,t.shape)},t.prototype.multinomial=function(t,e,n,r){this.assertNotComplex(t,"multinomial");for(var i=e?t:Ce(t),o=i.shape[0],a=i.shape[1],s=Pe([o,n],"int32"),u=s.dataSync(),l=i.dataSync(),c=0;c<o;++c){var p=c*a,h=new Float32Array(a-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=Lo(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=h.length;for(var v=0;v<h.length;v++)if(y<h[v]){u[m+g]=v;break}}}return s},t.prototype.oneHot=function(t,e,n,r){this.assertNotComplex(t,"oneHot");var i=new Float32Array(t.size*e);i.fill(r);for(var o=t.dataSync(),a=0;a<t.size;++a)o[a]>=0&&o[a]<e&&(i[a*e+o[a]]=n);return Oe(i,[t.size,e],"int32")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return this.assertNotComplex(t,"nonMaxSuppression"),Ze(t.dataSync(),e.dataSync(),n,r,i)},t.prototype.fft=function(t){return this.fftBatch(t,!1)},t.prototype.ifft=function(t){return this.fftBatch(t,!0)},t.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=zo(t.shape,"float32"),o=zo(t.shape,"float32"),a=ke(t).as2D(n,r),s=Ae(t).as2D(n,r),u=0;u<n;u++)for(var l=a.slice([u,0],[1,r]),c=s.slice([u,0],[1,r]),p=Ie(l,c),h=this.fftImpl(p,e).dataSync(),f=0;f<r;f++){var d=Xe(h,f);i.values[u*r+f]=d.real,o.values[u*r+f]=d.imag}return Ie(i.toTensor(),o.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(i=Ie(ke(i).div(Re(r)),Ae(i).div(Re(r)))),i}var o=t.dataSync(),a=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(o,r,e));return Ie(a.real,a.imag).as2D(t.shape[0],t.shape[1])},t.prototype.isExponentOf2=function(t){return 0==(t&t-1)},t.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=t.dataSync(),i=e/2,o=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=0;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),a=Ie(o.real,o.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=2;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),u=Ie(s.real,s.imag).as1D();a=this.fftRadix2(a,i,n),u=this.fftRadix2(u,i,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),i=0;i<Math.ceil(t/2);i++){var o=(e?2:-2)*Math.PI*(i/t);n[i]=Math.cos(o),r[i]=Math.sin(o)}return{real:n,imag:r}}(e,n),c=Ie(l.real,l.imag).mul(u),p=a.add(c),h=a.sub(c),f=ke(p).concat(ke(h)),d=Ae(p).concat(Ae(h));return Ie(f,d).as1D()},t.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),i=0;i<e;i++){for(var o=0,a=0,s=0;s<e;s++){var u=Je(i*s,e,n),l=Xe(t,s);o+=l.real*u.real-l.imag*u.imag,a+=l.real*u.imag+l.imag*u.real}n&&(o/=e,a/=e),Ye(r,o,a,i)}return r},t.prototype.depthToSpace=function(t,e,n){d("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),d(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],i=t.shape[1],o=t.shape[2],a=t.shape[3],s=i*e,u=o*e,l=a/(e*e),c=t.dataSync(),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var m=0;m<s;++m)for(var g=Math.floor(m/e),y=m%e,v=0;v<u;++v)for(var b=Math.floor(v/e),w=(y*e+v%e)*l,x=0;x<l;++x){var N=x+w+a*(b+o*(g+i*f));p[h++]=c[N]}return Me(p,[r,s,u,l])},t.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=un(t.shape,e.shape),o=zo(i,n),a=t.dataSync(),s=e.dataSync(),u=an(t.shape,i),l=an(e.shape,i),c=o.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(a[p%a.length],s[p%s.length]);else{var h=t.bufferSync(),f=e.bufferSync(),d=function(n){var i=o.indexToLoc(n),p=i.slice(-t.rank);u.forEach(function(t){return p[t]=0});var d=h.locToIndex(p),m=i.slice(-e.rank);l.forEach(function(t){return m[t]=0});var g=f.locToIndex(m);c[n]=r(a[d],s[g])};for(p=0;p<c.length;++p)d(p)}return o.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=un(t.shape,e.shape),i=zo(r,"float32"),o=zo(r,"float32"),a=t.dataSync(),s=e.dataSync(),u=an(t.shape,r),l=an(e.shape,r),c=i.values,p=o.values;if(u.length+l.length===0)for(var h=0;h<c.length;h++){var f=h%a.length,d=h%s.length,m=n(a[2*f],a[2*f+1],s[2*d],s[2*d+1]);c[h]=m.real,p[h]=m.imag}else{var g=this.data.get(t.dataId).complexTensors.real.bufferSync(),y=this.data.get(e.dataId).complexTensors.real.bufferSync(),v=function(r){var o=i.indexToLoc(r),h=o.slice(-t.rank);u.forEach(function(t){return h[t]=0});var f=g.locToIndex(h),d=o.slice(-e.rank);l.forEach(function(t){return d[t]=0});var m=y.locToIndex(d),v=n(a[2*f],a[2*f+1],s[2*m],s[2*m+1]);c[r]=v.real,p[r]=v.imag};for(h=0;h<c.length;h++)v(h)}return this.complex(i.toTensor(),o.toTensor())},t.prototype.split=function(t,e,n){return tn(t,e,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.cropAndResize=function(t,e,n,r,i,o){for(var a=t.shape,s=a[0],u=a[1],l=a[2],c=a[3],p=e.shape[0],h=r[0],f=r[1],d=zo([p,h,f,c],t.dtype),m=e.dataSync(),g=n.dataSync(),y=t.dataSync(),v=t.strides,b=d.strides,w=0;w<p;w++){var x=4*w,N=m[x],S=m[x+1],C=m[x+2],E=m[x+3],I=g[w];if(!(I>=s))for(var k=h>1?(C-N)*(u-1)/(h-1):0,A=f>1?(E-S)*(l-1)/(f-1):0,T=0;T<h;T++){var R=h>1?N*(u-1)+T*k:.5*(N+C)*(u-1);if(R<0||R>u-1)for(var D=0;D<f;D++)for(var O=0;O<c;O++){var _=O+D*b[2]+T*b[1]+w*b[0];d.values[_]=o}else if("bilinear"===i){var M=Math.floor(R),L=Math.ceil(R),F=R-M;for(D=0;D<f;D++)if((G=f>1?S*(l-1)+D*A:.5*(S+E)*(l-1))<0||G>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=o;else{var z=Math.floor(G),P=Math.ceil(G),B=G-z;for(O=0;O<c;O++){var U=y[_=O+z*v[2]+M*v[1]+I*v[0]],W=y[_=O+P*v[2]+M*v[1]+I*v[0]],V=y[_=O+z*v[2]+L*v[1]+I*v[0]],j=U+(W-U)*B,q=V+(y[_=O+P*v[2]+L*v[1]+I*v[0]]-V)*B;_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=j+(q-j)*F}}}else for(D=0;D<f;++D){var G;if((G=f>1?S*(l-1)+D*A:.5*(S+E)*(l-1))<0||G>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=o;else{var H=Math.round(G),K=Math.round(R);for(O=0;O<c;O++){var $=O+H*v[2]+K*v[1]+I*v[0],X=O+D*b[2]+T*b[1]+w*b[0];d.values[X]=y[$]}}}}}return d.toTensor()},t.prototype.sparseToDense=function(t,e,n,r){var i=fe(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.sliceSize,u=i.strides,l=i.outputSize;return this.scatter(t,e,n,l,s,a,o,u,r,!1)},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=le(t,e),o=i[0],a=i[1],s=i[2],u=i[3];if(0===a)return Te([],o,t.dtype);for(var l=new it([a,s],t.dtype),c=e.dataSync(),p=t.dataSync(),h=0;h<a;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 y=0;y<s;y++)l.values[h*s+y]=p[d*s+y]}return l.toTensor().reshape(o)},t.prototype.scatterND=function(t,e,n){var r=fe(0,t,n),i=r.sliceRank,o=r.numUpdates,a=r.sliceSize,s=r.strides,u=r.outputSize,l=Re(0);return this.scatter(t,e,n,u,a,o,i,s,l,!0)},t.prototype.fill=function(t,e,n){var r=T(n=n||B(e),v(t));return r.fill(e),ut.make(t,{values:r},n)},t.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)},t.prototype.zerosLike=function(t){var e=T(t.dtype,v(t.shape));return ut.make(t.shape,{values:e},t.dtype)},t.prototype.scatter=function(t,e,n,r,i,o,a,s,u,l){var c=[r/i,i],p=t.dataSync(),h=e.dataSync();if(0===r)return Te([],n,e.dtype);var f=new it(c,e.dtype);f.values.fill(u.dataSync()[0]);for(var d=0;d<o;d++){for(var m=[],g=0,y=0;y<a;y++){var v=p[d*a+y];m.push(v),g+=v*s[y]}if(g<0||g>=r/i)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<i;b++)l?f.values[g*i+b]+=h[d*i+b]:f.values[g*i+b]=0===e.rank?h[0]:h[d*i+b]}return f.toTensor().reshape(n)},t}();Bt.registerBackend("cpu",function(){return new Ml},1);var Ll="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(t){return t()};function Fl(){return new Promise(function(t){return Ll(function(){return t()})})}var zl={float32:4,int32:4,uint16:2,uint8:1,bool:1};function Pl(t,e){for(var n={},r=0,i=function(e){var i=e.name,o=e.dtype,a=e.shape,s=v(a),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=zl[l.dtype],p=t.slice(r,r+s*c),h="uint8"===l.dtype?new Uint8Array(p):new Uint16Array(p);if("float32"===o)u=Float32Array.from(h,function(t){return t*l.scale+l.min});else{if("int32"!==o)throw new Error("Unsupported dtype in weight '"+i+"': "+o);u=Int32Array.from(h,function(t){return Math.round(t*l.scale+l.min)})}r+=s*c}else{var f=zl[o];if(p=t.slice(r,r+s*f),"float32"===o)u=new Float32Array(p);else if("int32"===o)u=new Int32Array(p);else{if("bool"!==o)throw new Error("Unsupported dtype in weight '"+i+"': "+o);u=new Uint8Array(p)}r+=s*f}var d=void 0;if("float32"===o)d=Te(u,a,"float32");else if("int32"===o)d=Te(u,a,"int32");else{if("bool"!==o)throw new Error("Unsupported dtype in weight '"+i+"': "+o);d=Te(u,a,"bool")}n[i]=d},o=0,a=e;o<a.length;o++)i(a[o]);return n}var Bl="undefined"!=typeof Buffer&&("undefined"==typeof Blob||"undefined"==typeof atob||"undefined"==typeof btoa);function Ul(t){return Bl?Buffer.byteLength(t):new Blob([t]).size}function Wl(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 Vl(t){for(t=t.trim();t.endsWith("/");)t=t.slice(0,t.length-1);var e=t.split("/");return e[e.length-1]}function jl(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:Ul(JSON.stringify(t.modelTopology)),weightSpecsBytes:null==t.weightSpecs?0:Ul(JSON.stringify(t.weightSpecs)),weightDataBytes:null==t.weightData?0:t.weightData.byteLength}}var ql=function(){function t(){this.saveRouters=[],this.loadRouters=[]}return t.getInstance=function(){return null==t.instance&&(t.instance=new t),t.instance},t.registerSaveRouter=function(e){t.getInstance().saveRouters.push(e)},t.registerLoadRouter=function(e){t.getInstance().loadRouters.push(e)},t.getSaveHandlers=function(e){return t.getHandlers(e,"save")},t.getLoadHandlers=function(e,n){return t.getHandlers(e,"load",n)},t.getHandlers=function(e,n,r){var i=[];return("load"===n?t.getInstance().loadRouters:t.getInstance().saveRouters).forEach(function(t){var n=t(e,r);null!==n&&i.push(n)}),i},t}(),Gl="://",Hl=function(){function t(){this.managers={}}return t.getInstance=function(){return null==t.instance&&(t.instance=new t),t.instance},t.registerManager=function(e,n){d(null!=e,function(){return"scheme must not be undefined or null."}),e.endsWith(Gl)&&(e=e.slice(0,e.indexOf(Gl))),d(e.length>0,function(){return"scheme must not be an empty string."});var r=t.getInstance();d(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 Kl(t){if(-1===t.indexOf(Gl))throw new Error("The url string provided does not contain a scheme. Supported schemes are: "+Hl.getSchemes().join(","));return{scheme:t.split(Gl)[0],path:t.split(Gl)[1]}}function $l(t,e,n){return void 0===n&&(n=!1),i(this,void 0,void 0,function(){var r,i,a,s,u,l,c,p,h;return o(this,function(o){switch(o.label){case 0:return d(t!==e,function(){return"Old path and new path are the same: '"+t+"'"}),d((r=ql.getLoadHandlers(t)).length>0,function(){return"Copying failed because no load handler is found for source URL "+t+"."}),d(r.length<2,function(){return"Copying failed because more than one ("+r.length+") load handlers for source URL "+t+"."}),i=r[0],d((a=ql.getSaveHandlers(e)).length>0,function(){return"Copying failed because no save handler is found for destination URL "+e+"."}),d(a.length<2,function(){return"Copying failed because more than one ("+r.length+") save handlers for destination URL "+e+"."}),s=a[0],u=Kl(t).scheme,l=Kl(t).path,c=u===Kl(t).scheme,[4,i.load()];case 1:return p=o.sent(),n&&c?[4,Hl.getManager(u).removeModel(l)]:[3,3];case 2:o.sent(),o.label=3;case 3:return[4,s.save(p)];case 4:return h=o.sent(),!n||c?[3,6]:[4,Hl.getManager(u).removeModel(l)];case 5:o.sent(),o.label=6;case 6:return[2,h.modelArtifactsInfo]}})})}var Xl="models_store",Yl="model_info_store";function Jl(){if(!Bt.get("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 Zl(t){var e=t.result;e.createObjectStore(Xl,{keyPath:"modelPath"}),e.createObjectStore(Yl,{keyPath:"modelPath"})}var Ql=function(){function t(t){if(this.indexedDB=Jl(),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 i(this,void 0,void 0,function(){return o(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 i(this,void 0,void 0,function(){return o(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 i=n.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return Zl(i)},i.onsuccess=function(){var o=i.result;if(null==e){var a=o.transaction(Xl,"readonly"),s=a.objectStore(Xl).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return o.close(),r(new Error("Cannot find model with path '"+n.modelPath+"' in IndexedDB."));t(s.result.modelArtifacts)},s.onerror=function(t){return o.close(),r(s.error)},a.oncomplete=function(){return o.close()}}else{var u,l=jl(e),c=o.transaction(Yl,"readwrite"),p=c.objectStore(Yl),h=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});h.onsuccess=function(){var i=(u=o.transaction(Xl,"readwrite")).objectStore(Xl).put({modelPath:n.modelPath,modelArtifacts:e,modelArtifactsInfo:l});i.onsuccess=function(){return t({modelArtifactsInfo:l})},i.onerror=function(t){var e=(p=c.objectStore(Yl)).delete(n.modelPath);e.onsuccess=function(){return o.close(),r(i.error)},e.onerror=function(t){return o.close(),r(i.error)}}},h.onerror=function(t){return o.close(),r(h.error)},c.oncomplete=function(){null==u?o.close():u.oncomplete=function(){return o.close()}}}},i.onerror=function(t){return r(i.error)}})},t.URL_SCHEME="indexeddb://",t}(),tc=function(t){return Bt.get("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Ql.URL_SCHEME)?function(t){return new Ql(t)}(t.slice(Ql.URL_SCHEME.length)):null};ql.registerSaveRouter(tc),ql.registerLoadRouter(tc);var ec=function(){function t(){this.indexedDB=Jl()}return t.prototype.listModels=function(){return i(this,void 0,void 0,function(){var t=this;return o(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return Zl(r)},r.onsuccess=function(){var t=r.result,i=t.transaction(Yl,"readonly"),o=i.objectStore(Yl).getAll();o.onsuccess=function(){for(var t={},n=0,r=o.result;n<r.length;n++){var i=r[n];t[i.modelPath]=i.modelArtifactsInfo}e(t)},o.onerror=function(e){return t.close(),n(o.error)},i.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return i(this,void 0,void 0,function(){var e=this;return o(this,function(n){return t=function(t){return t.startsWith(Ql.URL_SCHEME)?t.slice(Ql.URL_SCHEME.length):t}(t),[2,new Promise(function(n,r){var i=e.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return Zl(i)},i.onsuccess=function(){var e,o=i.result,a=o.transaction(Yl,"readwrite"),s=a.objectStore(Yl),u=s.get(t);u.onsuccess=function(){if(null==u.result)return o.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var i=s.delete(t),a=function(){var i=(e=o.transaction(Xl,"readwrite")).objectStore(Xl).delete(t);i.onsuccess=function(){return n(u.result.modelArtifactsInfo)},i.onerror=function(t){return r(u.error)}};i.onsuccess=a,i.onerror=function(t){return a(),o.close(),r(u.error)}},u.onerror=function(t){return o.close(),r(u.error)},a.oncomplete=function(){null==e?o.close():e.oncomplete=function(){return o.close()}}},i.onerror=function(t){return r(i.error)}})]})})},t}();if(Bt.get("IS_BROWSER"))try{Hl.registerManager(Ql.URL_SCHEME,new ec)}catch(dt){}var nc="/",rc="tensorflowjs_models",ic="info",oc="model_topology",ac="weight_specs",sc="weight_data",uc="model_metadata";function lc(t){return{info:[rc,t,ic].join(nc),topology:[rc,t,oc].join(nc),weightSpecs:[rc,t,ac].join(nc),weightData:[rc,t,sc].join(nc),modelMetadata:[rc,t,uc].join(nc)}}function cc(t){var e=t.split(nc);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(nc)}var pc=function(){function t(t){if(!Bt.get("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=lc(this.modelPath)}return t.prototype.save=function(t){return i(this,void 0,void 0,function(){var e,n,r,i;return o(this,function(o){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),n=JSON.stringify(t.weightSpecs),r=jl(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,function(t){return Bl?Buffer.from(t).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(t)))}(t.weightData)),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy})),[2,{modelArtifactsInfo:r}]}catch(t){for(i in this.keys)this.LS.removeItem(this.keys[i]);throw 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+".")}return[2]})})},t.prototype.load=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,a,s;return o(this,function(o){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))&&(a=JSON.parse(i),e.format=a.format,e.generatedBy=a.generatedBy,e.convertedBy=a.convertedBy),null==(s=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return e.weightData=function(t){if(Bl){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),i=0;i<n.length;++i)r.set([n.charCodeAt(i)],i);return r.buffer}(s),[2,e]})})},t.URL_SCHEME="localstorage://",t}(),hc=function(t){return Bt.get("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(pc.URL_SCHEME)?function(t){return new pc(t)}(t.slice(pc.URL_SCHEME.length)):null};ql.registerSaveRouter(hc),ql.registerLoadRouter(hc);var fc=function(){function t(){d(Bt.get("IS_BROWSER"),function(){return"Current environment is not a web browser"}),d(void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return t.prototype.listModels=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,a;return o(this,function(o){for(t={},e=rc+nc,n=nc+ic,r=0;r<this.LS.length;++r)(i=this.LS.key(r)).startsWith(e)&&i.endsWith(n)&&(a=cc(i),t[a]=JSON.parse(this.LS.getItem(i)));return[2,t]})})},t.prototype.removeModel=function(t){return i(this,void 0,void 0,function(){var e,n;return o(this,function(r){if(t=function(t){return t.startsWith(pc.URL_SCHEME)?t.slice(pc.URL_SCHEME.length):t}(t),e=lc(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(Bt.get("IS_BROWSER"))try{Hl.registerManager(pc.URL_SCHEME,new fc)}catch(dt){}var dc="model",mc=".json",gc=".weights.bin",yc=function(){function t(e){if(!Bt.get("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=dc),this.modelTopologyFileName=e+mc,this.weightDataFileName=e+gc}return t.prototype.save=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s;return o(this,function(o){if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");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"})),(a=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=i,a.click(),null!=t.weightData&&((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,s.click()),[2,{modelArtifactsInfo:jl(t)}]})})},t.URL_SCHEME="downloads://",t}(),vc=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 i(this,void 0,void 0,function(){var t,e,n=this;return o(this,function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(r,i){var o=new FileReader;o.onload=function(o){var a=JSON.parse(o.target.result),s=a.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=a.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,e)}catch(t){return void i(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,i=p.indexOf(t);h[i]=n,-1===h.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:Wl(h)})},e.onerror=function(e){return i("Failed to weights data from file of path '"+t+"'.")},e.readAsArrayBuffer(l[t])})})}else i(new Error("weightManifest field is missing from file "+t.name))}else i(new Error("modelTopology field is missing from file "+t.name))},o.onerror=function(e){return i("Failed to read model topology and weights manifest JSON from file '"+t.name+"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.")},o.readAsText(t)})]})})},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map(function(t){return Vl(t.name)}),i={},o=0,a=t;o<a.length;o++)a[o].paths.forEach(function(t){var o=Vl(t);if(-1!==n.indexOf(o))throw new Error("Duplicate file basename found in weights manifest: '"+o+"'");if(n.push(o),-1===r.indexOf(o))throw new Error("Weight file with basename '"+o+"' is not provided.");i[t]=e[r.indexOf(o)]});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 i},t}();function bc(t,e,n,r){!function(t){d(null!=t&&Array.isArray(t)&&t.length>0,function(){return"promises must be a none empty array"})}(t),function(t,e){d(t>=0&&t<=1,function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t}),d(e>=0&&e<=1,function(){return"Progress fraction must be in range [0, 1], but got endFraction "+e}),d(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 i=0;return Promise.all(t.map(function(o){return o.then(function(o){var a=n+ ++i/t.length*(r-n);return e(a),o}),o}))}function wc(t,e){return i(this,void 0,void 0,function(){var n,r,i,a,s,u,l,c,p;return o(this,function(o){switch(o.label){case 0:return null==e&&(e={}),n=null==e.fetchFunc?fetch:e.fetchFunc,r=t.map(function(t){return n(t,e.requestInit)}),i=0,a=.5,null!=e.onProgress?[3,2]:[4,Promise.all(r)];case 1:return s=o.sent(),[3,4];case 2:return[4,bc(r,e.onProgress,i,a)];case 3:s=o.sent(),o.label=4;case 4:return u=s.map(function(t){return t.arrayBuffer()}),l=.5,c=1,null!=e.onProgress?[3,6]:[4,Promise.all(u)];case 5:return p=o.sent(),[3,8];case 6:return[4,bc(u,e.onProgress,l,c)];case 7:p=o.sent(),o.label=8;case 8:return[2,p]}})})}function xc(t){var e=this;return function(n,r,a){return void 0===r&&(r=""),i(e,void 0,void 0,function(){var e,i,s,u,l,c,p,h,f,d;return o(this,function(o){switch(o.label){case 0:if(e=n.map(function(){return!1}),i={},s=null!=a?a.map(function(){return!1}):[],u=[],n.forEach(function(t,n){var r=0;t.weights.forEach(function(t){var o="quantization"in t?t.quantization.dtype:t.dtype,l=zl[o]*v(t.shape),c=function(){e[n]=!0,null==i[n]&&(i[n]=[]),i[n].push({manifestEntry:t,groupOffset:r,sizeBytes:l})};null!=a?a.forEach(function(e,n){e===t.name&&(c(),s[n]=!0)}):c(),u.push(t.name),r+=l})}),!s.every(function(t){return t}))throw l=a.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=r+(r.endsWith("/")?"":"/")+t;p.push(e)})}),[4,t(p)];case 1:return h=o.sent(),f={},d=0,c.forEach(function(t){for(var e=n[t].paths.length,r=0,o=0;o<e;o++)r+=h[d+o].byteLength;for(var a=new ArrayBuffer(r),s=new Uint8Array(a),u=0,l=0;l<e;l++){var c=new Uint8Array(h[d+l]);s.set(c,u),u+=c.byteLength}i[t].forEach(function(t){var e=Pl(a.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)f[n]=e[n]}),d+=e}),[2,f]}})})}}ql.registerSaveRouter(function(t){return Bt.get("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(yc.URL_SCHEME)?function(t){return void 0===t&&(t="model"),new yc(t)}(t.slice(yc.URL_SCHEME.length)):null});var Nc=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null==e.fetchFunc){if("undefined"==typeof fetch)throw new Error("browserHTTPRequest is not supported outside the web browser without a fetch polyfill.");e.fetchFunc=fetch.bind("undefined"==typeof window?null:window)}else d("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)"});if(this.fetchFunc=function(t,n){return e.fetchFunc(t,n).catch(function(e){throw new Error("Request for "+t+" failed due to error: "+e)})},d(null!=t&&t.length>0,function(){return"URL path for browserHTTPRequest must not be null, undefined or empty."}),Array.isArray(t)&&d(2===t.length,function(){return"URL paths for browserHTTPRequest 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 i(this,void 0,void 0,function(){var e,n,r,i;return o(this,function(o){switch(o.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,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.getFetchFunc()(this.path,e)];case 1:if((i=o.sent()).ok)return[2,{modelArtifactsInfo:jl(t),responses:[i]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".")}})})},t.prototype.load=function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,a,s,u;return o(this,function(o){switch(o.label){case 0:return[4,this.getFetchFunc()(this.path,this.requestInit)];case 1:if(!(t=o.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.");o.label=2;case 2:return o.trys.push([2,4,,5]),[4,t.json()];case 3:return e=o.sent(),[3,5];case 4:throw o.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=o.sent(),a=u[0],s=u[1],o.label=7;case 7:return[2,{modelTopology:r,weightSpecs:a,weightData:s}]}})})},t.prototype.loadWeights=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s,u,l,c,p,h;return o(this,function(o){switch(o.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],a=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(a+t+i)})}),[4,wc(p,{requestInit:this.requestInit,fetchFunc:this.getFetchFunc(),onProgress:this.onProgress})];case 1:return h=o.sent(),[2,[s,Wl(h)]]}})})},t.prototype.getFetchFunc=function(){return this.fetchFunc},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Sc(t){return null!=t.match(Nc.URL_SCHEME_REGEX)}var Cc=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every(function(t){return Sc(t)}):Sc(t))?Ec(t,{onProgress:e}):null};function Ec(t,e){return new Nc(t,e)}ql.registerSaveRouter(Cc),ql.registerLoadRouter(Cc);var Ic=function(){function t(t,e,n){this.modelTopology=t,this.weightSpecs=e,this.weightData=n}return t.prototype.load=function(){return i(this,void 0,void 0,function(){var t;return o(this,function(e){return t={},null!=this.modelTopology&&(t=r({modelTopology:this.modelTopology},t)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(t=r({weightSpecs:this.weightSpecs},t)),null!=this.weightData&&this.weightData.byteLength>0&&(t=r({weightData:this.weightData},t)),[2,t]})})},t}(),kc=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return i(this,void 0,void 0,function(){return o(this,function(e){return[2,this.saveHandler(t)]})})},t}();var Ac=Object.freeze({browserFiles:function(t){return new vc(t)},browserHTTPRequest:Ec,concatenateArrayBuffers:Wl,decodeWeights:Pl,encodeWeights:function(t){return i(this,void 0,void 0,function(){var e,n,r,i;return o(this,function(o){switch(o.label){case 0:for(r in e=[],n=[],t){if("float32"!==(i=t[r]).dtype&&"int32"!==i.dtype&&"bool"!==i.dtype)throw new Error("Unsupported dtype in weight '"+r+"': "+i.dtype);e.push({name:r,shape:i.shape,dtype:i.dtype}),n.push(i.data())}return[4,Promise.all(n)];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),i=0;return n.forEach(function(t){r.set(new Uint8Array(t.buffer),i),i+=t.byteLength}),r.buffer}(o.sent()),specs:e}]}})})},fromMemory:function(t,e,n){return new Ic(t,e,n)},getLoadHandlers:function(t,e){return ql.getLoadHandlers(t)},getModelArtifactsInfoForJSON:jl,getSaveHandlers:function(t){return ql.getSaveHandlers(t)},isHTTPScheme:Sc,loadWeights:function(t,e,n,r){return void 0===e&&(e=""),i(this,void 0,void 0,function(){return o(this,function(i){return[2,xc(function(t){return wc(t,{requestInit:r})})(t,e,n)]})})},registerLoadRouter:function(t){return ql.registerLoadRouter(t)},registerSaveRouter:function(t){return ql.registerSaveRouter(t)},weightsLoaderFactory:xc,withSaveHandler:function(t){return new kc(t)},copyModel:function(t,e){return i(this,void 0,void 0,function(){return o(this,function(n){switch(n.label){case 0:return[4,$l(t,e,!1)];case 1:return[2,n.sent()]}})})},listModels:function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,a,s;return o(this,function(o){switch(o.label){case 0:t=Hl.getSchemes(),e={},n=0,r=t,o.label=1;case 1:return n<r.length?(i=r[n],[4,Hl.getManager(i).listModels()]):[3,4];case 2:for(s in a=o.sent())e[i+Gl+s]=a[s];o.label=3;case 3:return n++,[3,1];case 4:return[2,e]}})})},moveModel:function(t,e){return i(this,void 0,void 0,function(){return o(this,function(n){switch(n.label){case 0:return[4,$l(t,e,!0)];case 1:return[2,n.sent()]}})})},removeModel:function(t){return i(this,void 0,void 0,function(){var e;return o(this,function(n){switch(n.label){case 0:return e=Kl(t),[4,Hl.getManager(e.scheme).removeModel(e.path)];case 1:return[2,n.sent()]}})})}});var Tc=Se({confusionMatrix_:function(t,e,n){var r=xe(t,"labels","confusionMatrix"),i=xe(e,"predictions","confusionMatrix");d(null==n||n>0&&Number.isInteger(n),function(){return"If provided, numClasses must be a positive integer, but got "+n}),d(1===r.rank,function(){return"Expected the rank of labels to be 1, but got "+r.rank}),d(1===i.rank,function(){return"Expected the rank of predictions to be 1, but got "+i.rank}),d(r.shape[0]===i.shape[0],function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+i.shape[0]+". Labels and predictions should have the same number of elements."}),d(n>0&&Number.isInteger(n),function(){return"numClasses is required to be a positive integer, but got "+n});var o=Ko(r.asType("int32"),n),a=Ko(i.asType("int32"),n);return o.transpose().matMul(a).asType("int32")}}),Rc=Object.freeze({confusionMatrix:Tc});var Dc=Se({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.");return Bt.engine.fromPixels(t,e)}}),Oc=Object.freeze({toPixels:function(t,e){return i(this,void 0,void 0,function(){var n,r,i,a,s,u,l,c,p,h,f,d,m,g,y,v,b,w,x,N;return o(this,function(o){switch(o.label){case 0:if(n=xe(t,"img","toPixels"),t instanceof ut||(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],a=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 u=n.min(),l=n.max(),[4,u.data()];case 1:return c=o.sent()[0],[4,l.data()];case 2:if(p=o.sent()[0],u.dispose(),l.dispose(),"float32"===n.dtype){if(c<0||p>1)throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but got range ["+c+" - "+p+"].")}else{if("int32"!==n.dtype)throw new Error("Unsupported type for toPixels: "+n.dtype+". Please use float32 or int32 tensors.");if(c<0||p>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+c+" - "+p+"].")}return[4,n.data()];case 3:for(h=o.sent(),f="float32"===n.dtype?255:1,d=new Uint8ClampedArray(a*i*4),m=0;m<i*a;++m)g=void 0,y=void 0,v=void 0,b=void 0,1===s?(g=h[m]*f,y=h[m]*f,v=h[m]*f,b=255):3===s?(g=h[3*m]*f,y=h[3*m+1]*f,v=h[3*m+2]*f,b=255):4===s&&(g=h[4*m]*f,y=h[4*m+1]*f,v=h[4*m+2]*f,b=h[4*m+3]*f),d[0+(w=4*m)]=Math.round(g),d[w+1]=Math.round(y),d[w+2]=Math.round(v),d[w+3]=Math.round(b);return null!=e&&(e.width=a,e.height=i,x=e.getContext("2d"),N=new ImageData(d,a,i),x.putImageData(N,0,0)),n!==t&&n.dispose(),[2,d]}})})},fromPixels:Dc}),_c=function(){function t(){}return t.prototype.getClassName=function(){return this.constructor.className},t.fromConfig=function(t,e){return new t(e)},t}(),Mc=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 Lc(t){d(null!=t.className,function(){return"Class being registered does not have the static className property defined."}),d("string"==typeof t.className,function(){return"className is required to be a string, but got type "+typeof t.className}),d(t.className.length>0,function(){return"Class being registered has an empty-string as its className, which is disallowed."}),Mc.register(t)}var Fc=Object.freeze({Serializable:_c,SerializationMap:Mc,registerClass:Lc});function zc(t,e,n){return null==n&&(n=Bt.get("TEST_EPSILON")),Pc(t,"number"==typeof e||"boolean"==typeof e?[e]:e,function(t,e){return Bc(t,Number(e),n)})}function Pc(t,e,n){if(t instanceof ut||e instanceof ut){if(t instanceof ut&&e instanceof ut){if(t.dtype!==e.dtype)throw new Error("Arrays are of different type actual: "+t.dtype+" vs expected: "+e.dtype+".");if(!b(t.shape,e.shape))throw new Error("Arrays are of different shape actual: "+t.shape+" vs expected: "+e.shape+".")}}else{var r=t.constructor.name,i=e.constructor.name;if(r!==i)throw new Error("Arrays are of different type actual: "+r+" vs expected: "+i)}var o,a;if(o=t instanceof ut?t.dataSync():t,a=e instanceof ut?e.dataSync():e,o.length!==a.length)throw new Error("Arrays have different lengths actual: "+o.length+" vs expected: "+a.length+".\nActual:   "+o+".\nExpected: "+a+".");for(var s=0;s<a.length;++s){var u=o[s],l=a[s];if(!n(u,l))throw new Error("Arrays differ: actual["+s+"] = "+u+", expected["+s+"] = "+l+".\nActual:   "+o+".\nExpected: "+a+".")}}function Bc(t,e,n){return!(!isNaN(t)||!isNaN(e))||!(isNaN(t)||isNaN(e)||Math.abs(t-e)>n)}var Uc=Object.freeze({WEBGL_ENVS:{HAS_WEBGL:!0},PACKED_ENVS:{WEBGL_PACK:!0},NODE_ENVS:{IS_NODE:!0},CHROME_ENVS:{IS_CHROME:!0},BROWSER_ENVS:{IS_BROWSER:!0},CPU_ENVS:{HAS_WEBGL:!1},ALL_ENVS:{},expectArraysClose:zc,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 t instanceof ut&&"string"===t.dtype||e instanceof ut&&"string"===e.dtype||Array.isArray(t)&&F(t[0])||Array.isArray(e)&&F(e[0])?Pc(t,n,function(t,e){return t==e}):zc(t,e,0)},expectNumbersClose:function(t,e,n){if(null==n&&(n=Bt.get("TEST_EPSILON")),!Bc(t,e,n))throw new Error("Numbers differ: actual === "+t+", expected === "+e)},expectValuesInRange:function(t,e,n){var r;r=t instanceof ut?t.dataSync():t;for(var i=0;i<r.length;i++)if(r[i]<e||r[i]>n)throw new Error("Value out of range:"+r[i]+" low: "+e+", high: "+n)},expectArrayBuffersEqual:function(t,e){expect(new Float32Array(t)).toEqual(new Float32Array(e))}}),Wc=Object.freeze({gpgpu_util:Ni,webgl_util:ti,MathBackendWebGL:pa,GPGPUContext:Si}),Vc=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),i=r.value,o=r.grads;return this.applyGradients(o),Object.keys(o).forEach(function(t){return o[t].dispose()}),e?i:(i.dispose(),null)},e.prototype.computeGradients=function(t,e){return Wt(t,e)},e.prototype.dispose=function(){},e}(_c);Object.defineProperty(Vc,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var jc=function(t){function e(e,n,r){void 0===r&&(r=null);var i=t.call(this)||this;return i.learningRate=e,i.rho=n,i.epsilon=r,i.accumulatedGrads={},i.accumulatedUpdates={},i.c=Gt(Re(-e)),i.rhoScalar=Gt(Re(n)),i.oneMinusRho=Gt(Re(1-n)),null===r&&(r=Bt.get("EPSILON")),i.epsilonScalar=Gt(Re(r)),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=function(n){var i=Bt.engine.registeredVariables[n];null==r.accumulatedGrads[n]&&qt(function(){e.accumulatedGrads[n]=je(i).variable(!1)}),null==r.accumulatedUpdates[n]&&qt(function(){e.accumulatedUpdates[n]=je(i).variable(!1)});var o=t[n],a=r.accumulatedGrads[n],s=r.accumulatedUpdates[n];qt(function(){var t=e.rhoScalar.mul(a).add(e.oneMinusRho.mul(o.square())),r=s.add(e.epsilonScalar).sqrt().div(a.add(e.epsilonScalar).sqrt()).mul(o),u=e.rhoScalar.mul(s).add(e.oneMinusRho.mul(r.square()));e.accumulatedGrads[n].assign(t),e.accumulatedUpdates[n].assign(u);var l=e.c.mul(r).add(i);i.assign(l)})},r=this;for(var i in t)n(i)},e.prototype.dispose=function(){var t=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(e){return t.accumulatedUpdates[e].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(e){return t.accumulatedGrads[e].dispose()}))},e.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.rho,e.epsilon)},e.className="AdadeltaOptimizer",e}(Vc);Lc(jc);var qc=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.c=Gt(Re(-e)),r.epsilon=Gt(Re(Bt.get("EPSILON"))),r}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=function(n){var i=Bt.engine.registeredVariables[n];null==r.accumulatedGrads[n]&&qt(function(){e.accumulatedGrads[n]=Be(i.shape,e.initialAccumulatorValue).variable(!1)});var o=t[n],a=r.accumulatedGrads[n];qt(function(){var t=a.add(o.square());e.accumulatedGrads[n].assign(t);var r=e.c.mul(o.div(t.add(e.epsilon).sqrt())).add(i);i.assign(r)})},r=this;for(var i in t)n(i)},e.prototype.dispose=function(){var t=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(e){return t.accumulatedGrads[e].dispose()})},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="AdagradOptimizer",e}(Vc);Lc(qc);var Gc=function(t){function e(e,n,r,i){void 0===i&&(i=null);var o=t.call(this)||this;return o.learningRate=e,o.beta1=n,o.beta2=r,o.epsilon=i,o.accumulatedFirstMoment={},o.accumulatedSecondMoment={},o.c=Gt(Re(-e)),o.beta1Scalar=Gt(Re(n)),o.beta2Scalar=Gt(Re(r)),qt(function(){o.accBeta1=Re(n).variable(),o.accBeta2=Re(r).variable()}),o.oneMinusBeta1=Gt(Re(1-n)),o.oneMinusBeta2=Gt(Re(1-r)),o.one=Gt(Re(1)),null===i&&(i=Bt.get("EPSILON")),o.epsScalar=Gt(Re(i)),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this;qt(function(){var n=e.one.sub(e.accBeta1),r=e.one.sub(e.accBeta2);for(var i in t){var o=Bt.engine.registeredVariables[i];if(null==e.accumulatedFirstMoment[i]){var a=!1;e.accumulatedFirstMoment[i]=je(o).variable(a)}null==e.accumulatedSecondMoment[i]&&(a=!1,e.accumulatedSecondMoment[i]=je(o).variable(a));var s=t[i],u=e.accumulatedFirstMoment[i],l=e.accumulatedSecondMoment[i],c=e.beta1Scalar.mul(u).add(e.oneMinusBeta1.mul(s)),p=e.beta2Scalar.mul(l).add(e.oneMinusBeta2.mul(s.square())),h=c.div(n),f=p.div(r);e.accumulatedFirstMoment[i].assign(c),e.accumulatedSecondMoment[i].assign(p);var d=e.c.mul(h.div(e.epsScalar.add(f.sqrt()))).add(o);o.assign(d)}e.accBeta1.assign(e.accBeta1.mul(e.beta1Scalar)),e.accBeta2.assign(e.accBeta2.mul(e.beta2Scalar))})},e.prototype.dispose=function(){var t=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(e){return t.accumulatedFirstMoment[e].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(e){return t.accumulatedSecondMoment[e].dispose()})},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="AdamOptimizer",e}(Vc);Lc(Gc);var Hc=function(t){function e(e,n,r,i,o){void 0===i&&(i=null),void 0===o&&(o=0);var a=t.call(this)||this;return a.learningRate=e,a.beta1=n,a.beta2=r,a.epsilon=i,a.decay=o,a.accumulatedFirstMoment={},a.accumulatedWeightedInfNorm={},a.c=Gt(Re(-e)),a.beta1Scalar=Gt(Re(n)),a.beta2Scalar=Gt(Re(r)),a.decayScalar=Gt(Re(o)),qt(function(){a.iteration=Re(0).variable(),a.accBeta1=Re(n).variable()}),a.oneMinusBeta1=Gt(Re(1-n)),a.one=Gt(Re(1)),null===i&&(i=Bt.get("EPSILON")),a.epsScalar=Gt(Re(i)),a}return n(e,t),e.prototype.applyGradients=function(t){var e=this;qt(function(){var n=e.one.sub(e.accBeta1),r=e.c.div(e.one.add(e.decayScalar.mul(e.iteration)));for(var i in t){var o=Bt.engine.registeredVariables[i];if(null==e.accumulatedFirstMoment[i]){var a=!1;e.accumulatedFirstMoment[i]=je(o).variable(a)}null==e.accumulatedWeightedInfNorm[i]&&(a=!1,e.accumulatedWeightedInfNorm[i]=je(o).variable(a));var s=t[i],u=e.accumulatedFirstMoment[i],l=e.accumulatedWeightedInfNorm[i],c=e.beta1Scalar.mul(u).add(e.oneMinusBeta1.mul(s)),p=e.beta2Scalar.mul(l),h=s.abs(),f=p.maximum(h);e.accumulatedFirstMoment[i].assign(c),e.accumulatedWeightedInfNorm[i].assign(f);var d=r.div(n).mul(c.div(e.epsScalar.add(f))).add(o);o.assign(d)}e.iteration.assign(e.iteration.add(e.one)),e.accBeta1.assign(e.accBeta1.mul(e.beta1Scalar))})},e.prototype.dispose=function(){var t=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(e){return t.accumulatedFirstMoment[e].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(e){return t.accumulatedWeightedInfNorm[e].dispose()})},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="AdamaxOptimizer",e}(Vc);Lc(Hc);var Kc=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;Object.keys(t).forEach(function(n){var r=t[n],i=Bt.engine.registeredVariables[n];qt(function(){var t=e.c.mul(r).add(i);i.assign(t)})})},e.prototype.setLearningRate=function(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=Gt(Re(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getConfig=function(){return{learningRate:this.learningRate}},e.fromConfig=function(t,e){return new t(e.learningRate)},e.className="SGDOptimizer",e}(Vc);Lc(Kc);var $c=function(t){function e(e,n,r){void 0===r&&(r=!1);var i=t.call(this,e)||this;return i.learningRate=e,i.momentum=n,i.useNesterov=r,i.m=Re(i.momentum),i.accumulations={},i}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=function(n){var i=Bt.engine.registeredVariables[n];null==r.accumulations[n]&&qt(function(){e.accumulations[n]=je(i).variable(!1)});var o=r.accumulations[n],a=t[n];qt(function(){var t,r=e.m.mul(o).add(a);t=e.useNesterov?e.c.mul(a.add(r.mul(e.m))).add(i):e.c.mul(r).add(i),e.accumulations[n].assign(r),i.assign(t)})},r=this;for(var i in t)n(i)},e.prototype.dispose=function(){if(t.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var e in this.accumulations)this.accumulations[e].dispose()},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},e.fromConfig=function(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)},e.className="MomentumOptimizer",e}(Kc);Lc($c);var Xc=function(t){function e(e,n,r,i,o){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===i&&(i=null),void 0===o&&(o=!1);var a=t.call(this)||this;return a.learningRate=e,a.decay=n,a.momentum=r,a.epsilon=i,a.accumulatedMeanSquares={},a.accumulatedMeanGrads={},a.accumulatedMoments={},a.c=Gt(Re(e)),a.decayScalar=Gt(Re(n)),a.momentumScalar=Gt(Re(r)),a.oneMinusDecay=Gt(Re(1-n)),a.centered=o,null===i&&(i=Bt.get("EPSILON")),a.epsilonScalar=Gt(Re(i)),a}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=function(n){var i=Bt.engine.registeredVariables[n];null==r.accumulatedMeanSquares[n]&&qt(function(){e.accumulatedMeanSquares[n]=je(i).variable(!1)}),null==r.accumulatedMeanGrads[n]&&r.centered&&qt(function(){e.accumulatedMeanGrads[n]=je(i).variable(!1)}),null==r.accumulatedMoments[n]&&qt(function(){e.accumulatedMoments[n]=je(i).variable(!1)});var o=r.accumulatedMeanSquares[n],a=r.accumulatedMeanGrads[n],s=r.accumulatedMoments[n],u=t[n];qt(function(){var t=e.decayScalar.mul(o).add(e.oneMinusDecay.mul(u.square()));if(e.centered){var r=e.decayScalar.mul(a).add(e.oneMinusDecay.mul(u)),l=e.momentumScalar.mul(s).add(e.c.mul(u).div(t.sub(r.square().add(e.epsilonScalar)).sqrt()));e.accumulatedMeanSquares[n].assign(t),e.accumulatedMeanGrads[n].assign(r),e.accumulatedMoments[n].assign(l);var c=i.sub(l);i.assign(c)}else{var p=e.decayScalar.mul(o).add(e.oneMinusDecay.mul(u.square()));l=e.momentumScalar.mul(s).add(e.c.mul(u).div(p.add(e.epsilonScalar).sqrt())),e.accumulatedMeanSquares[n].assign(p),e.accumulatedMoments[n].assign(l),c=i.sub(l),i.assign(c)}})},r=this;for(var i in t)n(i)},e.prototype.dispose=function(){var t=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(e){return t.accumulatedMeanSquares[e].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(e){return t.accumulatedMeanGrads[e].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(e){return t.accumulatedMoments[e].dispose()})},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="RMSPropOptimizer",e}(Vc);Lc(Xc);var Yc=function(){function t(){}return t.sgd=function(t){return new Kc(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new $c(t,e,n)},t.rmsprop=function(t,e,n,r,i){return void 0===e&&(e=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===i&&(i=!1),new Xc(t,e,n,r,i)},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 Gc(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 jc(t,e,n)},t.adamax=function(t,e,n,r,i){return void 0===t&&(t=.002),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===i&&(i=0),new Hc(t,e,n,r,i)},t.adagrad=function(t,e){return void 0===e&&(e=.1),new qc(t,e)},t}(),Jc={sgd:Yc.sgd,momentum:Yc.momentum,adadelta:Yc.adadelta,adagrad:Yc.adagrad,rmsprop:Yc.rmsprop,adamax:Yc.adamax,adam:Yc.adam},Zc=_t.setBackend,Qc=_t.getBackend,tp=_t.disposeVariables,ep=_t.memory;!function(t){at=t}(_l);var np=function(t,e){return(np=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 rp(t,e){function n(){this.constructor=t}np(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}var ip,op=function(){return(op=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t}).apply(this,arguments)};function ap(t,e,n,r){return new(n||(n=Promise))(function(i,o){function a(t){try{u(r.next(t))}catch(t){o(t)}}function s(t){try{u(r.throw(t))}catch(t){o(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(a,s)}u((r=r.apply(t,e||[])).next())})}function sp(t,e){var n,r,i,o,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&o[0]?r.return:o[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,o[1])).done)return i;switch(r=0,i&&(o=[2&o[0],i.value]),o[0]){case 0:case 1:i=o;break;case 4:return a.label++,{value:o[1],done:!1};case 5:a.label++,r=o[1],o=[0];continue;case 7:o=a.ops.pop(),a.trys.pop();continue;default:if(!(i=(i=a.trys).length>0&&i[i.length-1])&&(6===o[0]||2===o[0])){a=0;continue}if(3===o[0]&&(!i||o[1]>i[0]&&o[1]<i[3])){a.label=o[1];break}if(6===o[0]&&a.label<i[1]){a.label=i[1],i=o;break}if(i&&a.label<i[2]){a.label=i[2],a.ops.push(o);break}i[2]&&a.ops.pop(),a.trys.pop();continue}o=e.call(t,a)}catch(t){o=[6,t],r=0}finally{n=i=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}}function up(){return null==ip&&(ip=Bt.get("EPSILON")),ip}var lp=0;function cp(){return lp++}var pp={};function hp(t){return void 0===t&&(t=""),t in pp||(pp[t]=0),pp[t]+=1,t+pp[t].toString()}var fp={},dp="float32";function mp(t,e){return void 0===e&&(e=dp),null==fp[e]&&(fp[e]={}),null==fp[e][t]&&(fp[e][t]=Re(t,e),Gt(fp[e][t])),fp[e][t]}var gp=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return rp(e,t),e}(Error),yp=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return rp(e,t),e}(Error),vp=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return rp(e,t),e}(Error),bp=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return rp(e,t),e}(Error),wp=function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}return rp(e,t),e}(Error);!function(t){function e(n){var r=t.call(this,n)||this;return Object.setPrototypeOf(r,e.prototype),r}rp(e,t)}(Error);function xp(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 Np(t,e){if(!t)throw new wp(e)}function Sp(t,e){for(var n=0,r=0,i=t;r<i.length;r++)i[r]===e&&n++;return n}function Cp(t){return 1===t.length?t[0]:t}function Ep(t){return Array.isArray(t)?t:[t]}function Ip(t){var e=t.replace(/(.)([A-Z][a-z0-9]+)/g,"$1_$2").replace(/([a-z])([A-Z])/g,"$1_$2").toLowerCase();return"_"!==e[0]?e:"private"+e}function kp(t){return t.length<=1?t:-1===t.indexOf("_")?t:t.replace(/[_]+(\w|$)/g,function(t,e){return e.toUpperCase()})}var Ap={};function Tp(t){if(null===t||void 0===t)return null;var e={};return e.className=t.getClassName(),e.config=t.getConfig(),e}function Rp(t,e,n,r,i){var o,a,s;if(void 0===e&&(e={}),void 0===n&&(n={}),void 0===r&&(r="object"),void 0===i&&(i=!1),"string"==typeof t){var u=t,l=void 0;if(u in n)l=n[u];else if(u in Ap)l=Ap[u];else if(null==(l=e[u]))throw new vp("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 vp(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=(o=n.get(p))[0],f=o[1]):p in Ap?(h=(a=Ap.className)[0],f=a[1]):p in e&&(h=(s=e[p])[0],f=s[1]),null==h)throw new vp("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(Ap);m<g.length;m++)d[N=g[m]]=Ap[N];for(var y=0,v=Object.keys(n);y<v.length;y++)d[N=v[y]]=n[N];c.config.customObjects=d;for(var b=op({},Ap),w=0,x=Object.keys(n);w<x.length;w++){var N=x[w];Ap[N]=n[N]}!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 i=r[n],o=e[i];null!=o&&"object"==typeof o&&(Array.isArray(o)||"ndarray"!==o.type||"number"!=typeof o.value?t(o):e[i]=o.value)}}(c.config);var S=f(h,c.config,n,i);return Ap=op({},b),S}b=op({},Ap);for(var C=0,E=Object.keys(n);C<E.length;C++)N=E[C],Ap[N]=n[N];return S=new h(c.config),Ap=op({},b),S}function Dp(t,e){return-1*function(t,e){return t<e?-1:t>e?1:0}(t,e)}function Op(t){if(null==t)return t;for(var e=[],n=0,r=t;n<r.length;n++){var i=r[n];-1===e.indexOf(i)&&e.push(i)}return e}function _p(t){if(null==t)throw new vp("Invalid value in obj: "+JSON.stringify(t));for(var e in t)if(t.hasOwnProperty(e))return!1;return!0}function Mp(t,e,n){if(null!=n&&t.indexOf(n)<0)throw new vp(n+" is not a valid "+e+".  Valid values are "+t+" or null/undefined.")}function Lp(t,e,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),Np(n>=0),Np(r>=n),Array.isArray(t)&&t.length>=n&&t.length<=r&&t.every(function(t){return typeof t===e})}function Fp(t,e){Array.isArray(t)?(X.assert(t.length>0,function(){return e+" is unexpectedly an empty array."}),t.forEach(function(t,n){return Fp(t,"element "+(n+1)+" of "+e)})):X.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 zp(t,e){return qt(function(){return Ua(Zs(Iu(t,t),e,!0))})}var Pp=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.getConfig=function(){return{}},e}(Fc.Serializable),Bp=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 rp(e,t),e.prototype.apply=function(t){var e=this;return qt(function(){var n=zp(t,e.axis),r=xa(n,0,e.maxValue);return Eu(t,gu(r,hu(mp(up()),n)))})},e.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},e.className="MaxNorm",e}(Pp);Fc.registerClass(Bp);var Up=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 rp(e,t),e.prototype.apply=function(t){var e=this;return qt(function(){return gu(t,hu(mp(up()),zp(t,e.axis)))})},e.prototype.getConfig=function(){return{axis:this.axis}},e.className="UnitNorm",e}(Pp);Fc.registerClass(Up);var Wp=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return Vu(t)},e.className="NonNeg",e}(Pp);Fc.registerClass(Wp);var Vp=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 rp(e,t),e.prototype.apply=function(t){var e=this;return qt(function(){var n=zp(t,e.axis),r=hu(Eu(mp(e.rate),xa(n,e.minValue,e.maxValue)),Eu(mp(1-e.rate),n));return Eu(t,gu(r,hu(mp(up()),n)))})},e.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},e.className="MinMaxNorm",e}(Pp);Fc.registerClass(Vp);var jp={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qp(t){return Tp(t)}function Gp(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"constraint")}function Hp(t){return null==t?null:"string"==typeof t?Gp({className:t in jp?jp[t]:t,config:{}}):t instanceof Pp?t:Gp(t)}var Kp=Object.freeze({maxNorm:function(t){return new Bp(t)},unitNorm:function(t){return new Up(t)},nonNeg:function(){return new Wp},minMaxNorm:function(t){return new Vp(t)}}),$p=["channelsFirst","channelsLast"],Xp=["valid","same","causal"],Yp=["max","avg"],Jp=["sum","mul","concat","ave"],Zp=new Map;function Qp(t){Mp($p,"DataFormat",t)}function th(t){Mp(Xp,"PaddingMode",t)}var eh=[],nh="/";function rh(t,e){eh.push(t);try{var n=e();return eh.pop(),n}catch(t){throw eh.pop(),t}}function ih(t){if(!sh(t))throw new Error("Not a valid tensor name: '"+t+"'");return(0===eh.length?"":eh.join(nh)+nh)+t}function oh(t){if(!sh(t))throw new Error("Not a valid tensor name: '"+t+"'");Zp.has(t)||Zp.set(t,0);var e=Zp.get(t);if(Zp.set(t,Zp.get(t)+1),e>0){var n=t+"_"+e;return Zp.set(n,1),n}return t}var ah=new RegExp(/^[A-Za-z][-A-Za-z0-9\._\/]*$/);function sh(t){return!!t.match(ah)}function uh(t){return t===parseInt(t.toString(),10)}function lh(t,e,n){null==e&&(e=0),null==n&&(n=t.length);for(var r=1,i=e;i<n;++i)r*=t[i];return r}function ch(t){return De(t=Array.isArray(t)?new Float32Array(t):t)}function ph(t){return Ys(ch(t)).dataSync()[0]}function hh(t){return $s(ch(t)).dataSync()[0]}function fh(t,e){if(e<t)throw new vp("end ("+e+") < begin ("+t+") is forbidden.");for(var n=[],r=t;r<e;++r)n.push(r);return n}function dh(t,e){return t.asType(e)}function mh(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 gh(t,e,n){return qt(function(){switch(t.rank){case 1:return Ps(t,e,n);case 2:return Bs(t,[e,0],[n,t.shape[1]]);case 3:return Us(t,[e,0,0],[n,t.shape[1],t.shape[2]]);case 4:return Ws(t,[e,0,0,0],[n,t.shape[1],t.shape[2],t.shape[3]]);default:throw new vp("sliceAlongFirstAxis() received an unsupported tensor rank: "+t.rank)}})}function yh(t,e,n){return qt(function(){switch(t.rank){case 1:return Ps(t,e,n);case 2:return Bs(t,[0,e],[t.shape[0],n]);case 3:return Us(t,[0,0,e],[t.shape[0],t.shape[1],n]);case 4:return Ws(t,[0,0,0,e],[t.shape[0],t.shape[1],t.shape[2],n]);default:throw new vp("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function vh(t,e,n,r){return qt(function(){switch(t.rank){case 1:return Ps(t,e,n);case 2:switch(r){case 1:return gh(t,e,n);case 2:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}case 3:switch(r){case 1:return gh(t,e,n);case 2:return Us(t,[0,e,0],[t.shape[0],n,t.shape[2]]);case 3:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}case 4:switch(r){case 1:return gh(t,e,n);case 2:return Ws(t,[0,e,0,0],[t.shape[0],n,t.shape[2],t.shape[3]]);case 3:return Ws(t,[0,0,e,0],[t.shape[0],t.shape[1],n,t.shape[3]]);case 4:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}default:throw new vp("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function bh(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),xo(t,e)}function wh(t,e){switch(t.rank){case 1:return No([t,e]);case 2:return So([t,e],0);case 3:return Co([t,e],0);case 4:return Eo([t,e],0);default:throw new vp("concatAlongFirstAxis() received an unsupported tensor rank: "+t.rank)}}function xh(t,e){if(Array.isArray(e)||(e=[e]),t.rank!==e.length)throw new vp("The length of input n ("+e.length+") does not match the number of dimensions in input x ("+t.rank+")");return aa(t,e)}function Nh(t,e,n,r,i){return void 0===e&&(e=0),void 0===n&&(n=1),ta(t,e,n,r,i)}function Sh(t,e){if(t.rank<2||e.rank<2)throw new bp("dot requires both inputs to be rank >= 2 but got x shape = "+t.shape+" and y shape = "+e.shape);if(e.rank>=3&&(r=t.shape.slice(-1)[0])!==(a=e.shape.slice(-2)[0]))throw new bp("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)return Cs(t,e);var n=t.shape.slice(),r=n.pop();t=t.reshape([-1,r]);var i=e.shape.slice(),o=i.pop(),a=i.pop(),s=i.concat([o]),u=Array.from({length:e.rank},function(t,n){return 0===n?e.rank-2:n<=e.rank-2?n-1:n});e=e.transpose(u).reshape([a,-1]);var l=n.concat(s);return Cs(t,e).reshape(l)}function Ch(t,e,n){return qt(function(){return e=Array.isArray(e)?De(e,"int32"):e.toInt(),Xu(t,e,n)})}function Eh(t){return Iu(t,t)}function Ih(t,e,n){return qt(function(){if(null==n&&(n="channelsLast"),Qp(n),1!==e.rank&&e.rank!==t.rank)throw new vp("Unexpected bias dimensions: "+e.rank+"; expected it to be 1 or "+t.rank);var r,i=e.shape;if(5===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1,1,1])):t.add(e.reshape([1,i[3],i[0],i[1],i[2]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,1,1,i[0]])):t.add(e.reshape([1].concat(i))));else if(4===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1,1])):t.add(e.reshape([1,i[2],i[0],i[1]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,1,i[0]])):t.add(e.reshape([1].concat(i))));else if(3===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1])):t.add(e.reshape([1,i[1],i[0]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,i[0]])):t.add(e.reshape([1].concat(i))));else{if(!(t.rank<3))throw new vp("Unsupported input rank by biasAdd: "+t.rank);r=t.add(e)}return r})}function kh(t,e,n,r){return qt(function(){if(null!=n&&!X.arraysEqual(t.shape,n))throw new bp("Non-default noise shape is not implemented yet: "+JSON.stringify(n));if(null!=r)throw new bp("seed is not implemented for dropout yet.");var i=Va(hu(Da(e),ea(t.shape,0,1,"float32")));return i=Eu(gu(mp(1),Du(mp(1),e)),i),Eu(t,i)})}function Ah(t,e,n){return void 0===n&&(n=!1),n?t():e()}var Th=["fanIn","fanOut","fanAvg"],Rh=["normal","uniform"];var Dh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.fromConfigUsesCustomObjects=function(){return!1},e.prototype.getConfig=function(){return{}},e}(Fc.Serializable),Oh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return Pe(t,e)},e.className="Zeros",e}(Dh);Fc.registerClass(Oh);var _h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return ze(t,e)},e.className="Ones",e}(Dh);Fc.registerClass(_h);var Mh=function(t){function e(e){var n=t.call(this)||this;if("object"!=typeof e)throw new vp("Expected argument of type ConstantConfig but got "+e);if(void 0===e.value)throw new vp("config must have value set but got "+e);return n.value=e.value,n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){return Eu(Re(n.value),ze(t,e))})},e.prototype.getConfig=function(){return{value:this.value}},e.className="Constant",e}(Dh);Fc.registerClass(Mh);var Lh=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 rp(e,t),e.prototype.apply=function(t,e){return ea(t,this.minval,this.maxval,e)},e.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},e.className="RandomUniform",e}(Dh);Fc.registerClass(Lh);var Fh=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 rp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new bp("randomNormal does not support dType "+e+".");return Nh(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}(Dh);Fc.registerClass(Fh);var zh=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 rp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new bp("truncatedNormal does not support dType "+e+".");return sa(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}(Dh);Fc.registerClass(zh);var Ph=function(t){function e(e){var n=t.call(this)||this;return n.gain=null!=e.gain?Re(e.gain):mp(1),n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){if(2!==t.length||t[0]!==t[1])throw new vp("Identity matrix initializer can only be used for 2D square matrices.");return Eu(n.gain,Go(t[0]))})},e.prototype.getConfig=function(){return{gain:this.gain.dataSync()[0]}},e.className="Identity",e}(Dh);Fc.registerClass(Ph);var Bh=function(t){function e(e){var n=t.call(this)||this;if(e.scale<0)throw new vp("scale must be a positive float. Got: "+e.scale);return n.scale=null==e.scale?1:e.scale,n.mode=e.mode,function(t){Mp(Th,"FanMode",t)}(n.mode),n.distribution=e.distribution,function(t){Mp(Rh,"Distribution",t)}(n.distribution),n.seed=e.seed,n}return rp(e,t),e.prototype.apply=function(t,e){var n=function(t,e){var n,r;if(void 0===e&&(e="channelsLast"),Qp(e),2===t.length)n=t[0],r=t[1];else if(-1!==[3,4,5].indexOf(t.length))if("channelsFirst"===e){var i=lh(t,2);n=t[1]*i,r=t[0]*i}else"channelsLast"===e&&(i=lh(t,0,t.length-2),n=t[t.length-2]*i,r=t[t.length-1]*i);else{var o=lh(t);n=Math.sqrt(o),r=Math.sqrt(o)}return[n,r]}(t),r=n[0],i=n[1],o=this.scale;if("fanIn"===this.mode?o/=Math.max(1,r):"fanOut"===this.mode?o/=Math.max(1,i):o/=Math.max(1,(r+i)/2),"normal"===this.distribution){var a=Math.sqrt(o);if("float32"!==(e=e||"float32")&&"int32"!==e)throw new bp(this.getClassName()+" does not support dType "+e+".");return sa(t,0,a,e,this.seed)}var s=Math.sqrt(3*o);return ea(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}(Dh);Fc.registerClass(Bh);var Uh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="GlorotUniform",e}(Bh);Fc.registerClass(Uh);var Wh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="GlorotNormal",e}(Bh);Fc.registerClass(Wh);var Vh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="HeNormal",e}(Bh);Fc.registerClass(Vh);var jh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="HeUniform",e}(Bh);Fc.registerClass(jh);var qh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="LeCunNormal",e}(Bh);Fc.registerClass(qh);var Gh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="LeCunNormal",e}(Bh);Fc.registerClass(Gh);var Hh=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 bp("Random seed is not implemented for Orthogonal Initializer yet.");return n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){if(2!==t.length)throw new bp("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=Nh(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=Sl.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),Eu(mp(n.gain),r)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Dh);Fc.registerClass(Hh);var Kh={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 $h(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"initializer")}function Xh(t){return Tp(t)}function Yh(t){if("string"==typeof t){var e=t in Kh?Kh[t]:t;if("GlorotNormal"===e)return new Wh;if("GlorotUniform"===e)return new Uh;if("HeNormal"===e)return new Vh;if("HeUniform"===e)return new jh;if("LeCunNormal"===e)return new qh;if("LeCunUniform"===e)return new Gh;var n={};return n.className=e,n.config={},$h(n)}return t instanceof Dh?t:$h(t)}var Jh=Object.freeze({zeros:function(){return new Oh},ones:function(){return new _h},constant:function(t){return new Mh(t)},randomUniform:function(t){return new Lh(t)},randomNormal:function(t){return new Fh(t)},truncatedNormal:function(t){return new zh(t)},identity:function(t){return new Ph(t)},varianceScaling:function(t){return new Bh(t)},glorotUniform:function(t){return new Uh(t)},glorotNormal:function(t){return new Wh(t)},heNormal:function(t){return new Vh(t)},heUniform:function(t){return new jh(t)},leCunNormal:function(t){return new qh(t)},leCunUniform:function(t){return new Gh(t)},orthogonal:function(t){return new Hh(t)}});function Zh(t){return Array.isArray(t)&&Array.isArray(t[0])}function Qh(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function tf(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new vp("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function ef(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new vp("Expected exactly 1 Shape; got "+t.length)}return t}function nf(t){for(var e=0,n=0,r=t;n<r.length;n++){var i=r[n];0===i.shape.length?e+=1:e+=i.shape.reduce(function(t,e){return t*e})}return e}var rf="Variable",of=function(){function t(t,e,n,r,i){void 0===e&&(e="float32"),void 0===n&&(n=rf),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==e?"float32":e,this.shape=t.shape,this.id=cp(),n=null==n?rf:n,this.originalName=ih(n),this.name=oh(this.originalName),this.trainable_=r,this.constraint=i,this.val=mt(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 af(t){return t.map(function(t){return t.read()})}function sf(t){t.forEach(function(t){t[0].write(t[1])})}var uf=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||{}},lf=function(t,e,n,r,i,o,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=a,this.id=cp(),null!=o&&(this.originalName=ih(o),this.name=oh(this.originalName)),this.rank=e.length},cf=0,pf=function(){function t(t,e){this.callArgs=e,this.id=cf++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var n=0,r=t.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return t.prototype.getConfig=function(){for(var t=[],e=0,n=this.inboundLayers;e<n.length;e++){var r=n[e];null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},t}(),hf=0,ff=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=hf++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=e.name;if(!r){var i=n.getClassName();r=Ip(i)+"_"+hp(i)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,n.updatable=null==e.updatable||e.updatable,null!=e.inputShape||null!=e.batchInputShape){var o=void 0;if(null!=e.batchInputShape)o=e.batchInputShape;else if(null!=e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),o=[a].concat(e.inputShape)}n.batchInputShape=o;var s=e.dtype;null==s&&(s=e.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=e.weights?n.initialWeights=e.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return rp(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 yp("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new vp("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 Cp(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return Cp(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new gp("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 gp("Layer "+this.name+" is not connected, no input to return.");return Cp(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new gp("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new gp("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Cp(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){e.trainable=t}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights:[]},set:function(t){this._trainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable_?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=Ep(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=Ep(this.inputSpec);if(t.length!==e.length)throw new vp("Layer "+this.name+" expects "+e.length+" inputs, but it received "+t.length+" input tensors. Input received: "+t);for(var n=0;n<t.length;n++){var r=t[n],i=e[n];if(null!=i){var o=r.rank;if(null!=i.ndim&&o!==i.ndim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+o);if(null!=i.maxNDim&&o>i.maxNDim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+o);if(null!=i.minNDim&&o<i.minNDim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+o+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new vp("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var a=r.shape;for(var s in i.axes){var u=Number(s),l=i.axes[s],c=u>=0?a[u]:a[a.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+a+".")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape=${xShape}.")}}}}},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=Ep(t),i=!0,o=0,a=r;o<a.length;o++)if(!(a[o]instanceof lf)){i=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof lf){s=!1;break}if(i===s)throw new vp("Arguments to apply() must be all SymbolicTensors or all Tensors");return rh(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],o=0,a=Ep(t);o<a.length;o++){var u=a[o];i.push(u.shape)}n.build(Cp(i)),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=Ep(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=Cp(l),null!=n.activityRegularizer)throw new bp("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=Ep(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return Cp(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,i){return new lf(g,r,n,Ep(t),e,n.name,i)}):new lf(g,d,n,Ep(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new bp("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 gp("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var t=[],e=0,n=this.inboundNodes;e<n.length;e++){var r=n[e],i=JSON.stringify(r.outputShapes);-1===t.indexOf(i)&&t.push(i)}if(1===t.length){var o=this.inboundNodes[0].outputShapes;return Array.isArray(o)&&Array.isArray(o[0])&&1===o.length?o[0]:o}throw new gp("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 yp("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return nf(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),af(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;qt(function(){var n=e.weights;if(n.length!==t.length)throw new vp('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=[],i=af(n),o=0;o<i.length;++o){var a=i[o],s=n[o],u=t[o];if(!X.arraysEqual(a.shape,u.shape))throw new vp("Layer weight shape "+a.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}sf(r)}})},e.prototype.addWeight=function(t,e,n,r,i,o,a){if(-1!==this._addedWeightNames.indexOf(t))throw new vp("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=Yh("zeros"));var s=r.apply(e,n),u=new of(s,n,t,o,a);return s.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==o&&(o=!0),o?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},e.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},e.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=Ep(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},e.prototype.computeOutputShape=function(t){return t},e.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},e.prototype.addInboundNode=function(t,e,n,r,i,o,a){void 0===a&&(a=null);var s=Ep(t);e=Ep(e),n=Ep(n),r=Ep(r),i=Qh(i),o=Qh(o);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 pf({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:o},a);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}(Fc.Serializable);var df,mf=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:hp("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 vp("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 vp("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new vp("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var o=new lf(n.dtype,n.batchInputShape,n,[],{},n.name);return o.nodeIndex=0,o.tensorIndex=0,new pf({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return rp(e,t),e.prototype.apply=function(t,e){throw new vp("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}(ff);function gf(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 vp("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 mf({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function yf(t){return ap(this,void 0,void 0,function(){var e,n,r,i,o,a,s,u;return sp(this,function(l){switch(l.label){case 0:if(null==t)return[2];for(i in e=[],n=[],r=[],t)"number"!=typeof(o=t[i])&&(a=o,e.push(a.data()),n.push(i),r.push(a));return[4,Promise.all(e)];case 1:for(s=l.sent(),u=0;u<s.length;++u)t[n[u]]=s[u][0];return Ht(r),[2]}})})}function vf(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}Fc.registerClass(mf),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(df||(df={}));var bf=function(){function t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onBatchBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onTrainEnd=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.setModel=function(t){},t}(),wf=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 ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchBegin=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){var e,n;return sp(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 ap(this,void 0,void 0,function(){var e,n;return sp(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}(),xf=function(){function t(t){this.yieldEvery=t,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=X.now()}return t.prototype.maybeYieldOnBatch=function(e){return ap(this,void 0,void 0,function(){var e,n;return sp(this,function(r){switch(r.label){case 0:return"auto"!==this.yieldEvery?[3,5]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,2]:(e=X.now(),[4,Fl()]));case 1:return r.sent(),this.batchCount>t.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(e-this.batchStartMillis),this.batchDurationsMillis.length>=t.DECISION_BATCH_COUNT&&(n=this.batchDurationsMillis.reduce(function(t,e){return t+e})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(t.THRESHOLD_MILLIS/n),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=X.now(),this.lastYieldBatchCount=this.batchCount,[3,4];case 2:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,Fl()]:[3,4];case 3:r.sent(),this.lastYieldBatchCount=this.batchCount,r.label=4;case 4:return[3,7];case 5:return"batch"!==this.yieldEvery?[3,7]:[4,Fl()];case 6:r.sent(),r.label=7;case 7:return[2]}})})},t.prototype.maybeYieldOnEpoch=function(){return ap(this,void 0,void 0,function(){return sp(this,function(t){switch(t.label){case 0:return"epoch"!==this.yieldEvery?[3,2]:[4,Fl()];case 1:t.sent(),t.label=2;case 2:return[2]}})})},t.SKIP_FIRST_BATCHES=1,t.DECISION_BATCH_COUNT=2,t.THRESHOLD_MILLIS=16,t}(),Nf=function(t){function e(e){var n=t.call(this)||this;return n.yieldEvery=e||"auto",n}return rp(e,t),e.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return this.autoYielder=new xf(this.yieldEvery),[2]})})},e.prototype.onEpochBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return this.seen=0,this.totals={},[2]})})},e.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){var t,n,r,i,o=this;return sp(this,function(a){switch(a.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(e)];case 1:for(i in a.sent(),null==e&&(e={}),t=null==e.size?0:e.size,this.seen+=t,n=function(n){var i=e[n];if("number"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*t;else{var a=void 0;n in r.totals?a=r.totals[n]:r.totals[n]=mp(0),r.totals[n]=qt(function(){return hu(o.totals[n],Eu(i,mp(t)))}),null!=a&&a.dispose()}},r=this,e)n(i);return[2]}})})},e.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){var t,n,r,i,o,a=this;return sp(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnEpoch()];case 1:if(s.sent(),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:qt(function(){e[t]=Eu(gu(mp(1),mp(a.seen)),a.totals[t]),a.totals[t].dispose(),Gt(e[t])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)o=i[r],t(o);return[2]}})})},e}(bf),Sf=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return this.epoch=[],this.history={},[2]})})},e.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){var n;return sp(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 ap(this,void 0,void 0,function(){var t,e,n,r,i,o,a,s,u;return sp(this,function(l){switch(l.label){case 0:for(r in t=[],e=[],n=[],this.history)for(i=this.history[r],o=0;o<i.length;++o)"number"!=typeof i[o]&&(a=i[o],t.push(a.data()),e.push(r),n.push(o));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}(bf),Cf=function(t){function e(e){var n=t.call(this)||this;return n.trainBegin=e.onTrainBegin,n.trainEnd=e.onTrainEnd,n.epochBegin=e.onEpochBegin,n.epochEnd=e.onEpochEnd,n.batchBegin=e.onBatchBegin,n.batchEnd=e.onBatchEnd,n}return rp(e,t),e.prototype.onEpochBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,yf(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 ap(this,void 0,void 0,function(){return sp(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,yf(e)];case 1:return n.sent(),[4,this.epochEnd(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onBatchBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,yf(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 ap(this,void 0,void 0,function(){return sp(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,yf(e)];case 1:return n.sent(),[4,this.batchEnd(t,e)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},e.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(e){switch(e.label){case 0:return null==this.trainBegin?[3,3]:[4,yf(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 ap(this,void 0,void 0,function(){return sp(this,function(e){switch(e.label){case 0:return null==this.trainEnd?[3,3]:[4,yf(t)];case 1:return e.sent(),[4,this.trainEnd(t)];case 2:e.sent(),e.label=3;case 3:return[2]}})})},e}(bf);function Ef(t){return null==t?null:t instanceof bf?[t]:Array.isArray(t)&&t[0]instanceof bf?t:Ep(t).map(function(t){return new Cf(t)})}var If=function(){function t(){}return t.registerCallbackConstructor=function(e,n){X.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 vp("Duplicate callback constructor.")})},t.clear=function(){t.constructors={}},t.createCallbacks=function(e){var n=[];for(var r in t.constructors){var i=+r;e>=i&&n.push.apply(n,t.constructors[i])}return n.map(function(t){return new t})},t.constructors={},t}();function kf(t,e,n,r,i,o,a,s,u,l){var c=new Sf,p=[new Nf(e)].concat(If.createCallbacks(n));null!=t&&p.push.apply(p,t),p.push(c);var h=new wf(p);return h.setParams({epochs:r,initialEpoch:i,samples:o,steps:a,batchSize:s,verbose:n,doValidation:u,metrics:l}),{callbackList:h,history:c}}function Af(t,e){return qt(function(){var n=Zs(Eh(t),e,!0),r=Eu(Re(up()),Ve(t)),i=Ua(bu(n,r));return gu(t,i)})}function Tf(t,e){return qt(function(){return Xs(Eh(Du(e,t)),-1)})}function Rf(t,e){return qt(function(){return Xs(fa(Du(e,t)),-1)})}function Df(t,e){return qt(function(){var n=Du(t,e),r=xa(fa(t),up(),Number.MAX_VALUE),i=fa(gu(n,r));return Eu(mp(100),Xs(i,-1))})}function Of(t,e){return qt(function(){var n=mp(1),r=xa(e,up(),Number.MAX_VALUE),i=Aa(hu(n,r)),o=xa(t,up(),Number.MAX_VALUE),a=Aa(hu(n,o));return Xs(Eh(Du(i,a)),-1)})}function _f(t,e){return qt(function(){var n=mp(0),r=mp(1),i=bu(n,Du(r,Eu(t,e)));return Xs(Eh(i),-1)})}function Mf(t,e){return qt(function(){var n=mp(0),r=mp(1),i=bu(n,Du(r,Eu(t,e)));return Xs(i,-1)})}function Lf(t,e){return qt(function(){var n=mp(0),r=mp(1),i=Zs(Eu(t,e),-1),o=$s(Eu(Du(r,t),e),-1);return bu(n,hu(r,Du(o,i)))})}function Ff(t,e){return qt(function(){var n=mp(Math.log(2)),r=Du(e,t),i=Du(hu(r,Ba(Eu(mp(-2),r))),n);return Xs(i,-1)})}function zf(t,e,n){return void 0===n&&(n=!1),qt(function(){if(n)e=Ce(e);else{var r=Zs(e,e.shape.length-1,!0);e=gu(e,r)}return e=xa(e,up(),1-up()),Da(Zs(Eu(t.toFloat(),Aa(e)),e.shape.length-1))})}function Pf(t,e){return qt(function(){var n=ka(function(t){var e=[lh(t.shape)];return t.reshape(e)}(t)).toInt(),r=(e=xa(e,up(),1-up())).shape;return zf(Ko(n,r[r.length-1]).reshape(r),e,!1)})}function Bf(t,e){return qt(function(){var n;return n=xa(e,up(),1-up()),n=Aa(gu(n,Du(mp(1),n))),Xs(function(t,e){if(!X.arraysEqual(t.shape,e.shape))throw new vp("logits and labels must have the same shape, but got shapes "+JSON.stringify(t.shape)+" and "+JSON.stringify(e.shape));return qt(function(){var n=e.relu(),r=e.abs().neg();return n.sub(e.mul(t)).add(r.exp().log1p())})}(t,n),-1)})}function Uf(t,e){return qt(function(){var n=xa(t,up(),1),r=xa(e,up(),1);return Zs(Eu(t,Aa(gu(n,r))),-1)})}function Wf(t,e){return qt(function(){var n=Aa(hu(mp(up()),e));return Xs(Du(e,Eu(t,n)),-1)})}function Vf(t,e){return qt(function(){var n=Af(t,-1),r=Af(e,-1),i=Eu(n,r);return Da(Zs(i,-1))})}function jf(t){var e={meanSquaredError:Tf,meanAbsoluteError:Rf,meanAbsolutePercentageError:Df,meanSquaredLogarithmicError:Of,squaredHinge:_f,hinge:Mf,categoricalHinge:Lf,logcosh:Ff,categoricalCrossentropy:zf,sparseCategoricalCrossentropy:Pf,binaryCrossentropy:Bf,kullbackLeiblerDivergence:Uf,poisson:Wf,cosineProximity:Vf};if("string"==typeof t){if(t in e)return e[t];var n="Unknown loss "+t;throw t.toLowerCase().includes("softmaxcrossentropy")&&(n="Unknown loss "+t+'. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy'),new vp(n)}return t}function qf(t,e){return qt(function(){var n=Eu(mp(.5),Ve(e)),r=dh(nu(e,n),t.dtype);return Xs(tu(t,r),-1)})}function Gf(t,e){return qt(function(){return dh(tu(Gs(t,-1),Gs(e,-1)),"float32")})}function Hf(t,e){return qt(function(){var n=mp(1);return _u(t.equal(n),e.equal(n)).sum().cast("float32")})}function Kf(t,e){return qt(function(){var n=mp(0),r=Hf(t,e),i=function(t,e){return qt(function(){var n=mp(1),r=mp(0);return _u(t.equal(r),e.equal(n)).sum().cast("float32")})}(t,e),o=r.add(i);return zu(nu(o,n),r.div(o),n).cast("float32")})}function $f(t,e){return qt(function(){var n=mp(0),r=Hf(t,e),i=function(t,e){return qt(function(){var n=mp(1),r=mp(0);return _u(t.equal(n),e.equal(r)).sum().cast("float32")})}(t,e),o=r.add(i);return zu(nu(o,n),r.div(o),n).cast("float32")})}function Xf(t,e){return Bf(t,e)}function Yf(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)),tu(t,e).asType("float32")}var Jf=Tf,Zf=Tf,Qf=Rf,td=Rf,ed=Df,nd=Df,rd=zf,id=Vf,od=Pf;function ad(t,e,n,r){void 0===r&&(r=console.log);var i,o=function(t){var e=!0,n=[],r=[];for(var i in t.nodesByDepth)n.push(t.nodesByDepth[i]);for(var o=0,a=n;o<a.length;o++){var s=a[o];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),a=["Layer (type)","Output shape","Param #"];if(o?(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)})),!o)for(var s in a.push("Receives inputs"),i=[],t.nodesByDepth)i.push.apply(i,t.nodesByDepth[s]);r("_".repeat(e)),sd(a,n,r),r("=".repeat(e));for(var u=t.layers,l=0;l<u.length;++l)o?ud(u[l],n,r):ld(u[l],n,i,r),r((l===u.length-1?"=":"_").repeat(e));t.checkTrainableWeightsConsistency();var c=function(t){return null!=t.collectedTrainableWeights?nf(t.collectedTrainableWeights):nf(t.trainableWeights)}(t),p=nf(t.nonTrainableWeights);r("Total params: "+(c+p)),r("Trainable params: "+c),r("Non-trainable params: "+p),r("_".repeat(e))}function sd(t,e,n){void 0===n&&(n=console.log);for(var r="",i=0;i<t.length;++i)i>0&&(r=r.slice(0,r.length-1)+" "),r=(r+=t[i]).slice(0,e[i]),r+=" ".repeat(e[i]-r.length);n(r)}function ud(t,e,n){var r;try{r=JSON.stringify(t.outputShape)}catch(t){r="multiple"}sd([t.name+" ("+t.getClassName()+")",r,t.countParams().toString()],e,n)}function ld(t,e,n,r){var i;try{i=JSON.stringify(t.outputShape)}catch(t){i="multiple"}for(var o=[],a=0,s=t.inboundNodes;a<s.length;a++){var u=s[a];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];o.push(c+"["+p+"]["+h+"]")}}var f=t.name,d=t.getClassName(),m=0===o.length?"":o[0];for(sd([f+" ("+d+")",i,t.countParams().toString(),m],e,r),l=1;l<o.length;++l)sd(["","","",o[l]],e,r)}function cd(t,e,n){return void 0===e&&(e={}),void 0===n&&(n=!1),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"layer",n)}function pd(t,e,n){return("inboundNodes"===t||"outputLayers"===t||"inputLayers"===t)&&0===e&&"string"==typeof n}function hd(t,e){if(null===t)return null;if("string"==typeof t)return kp(t);if("number"==typeof t||"boolean"==typeof t)return t;if(t instanceof Array){for(var n=[],r=t.length,i=0;i<r;++i){var o=t[i];pd(e,i,o)?n.push(o):n.push(hd(o,e))}return n}for(var a={},s=0,u=Object.keys(t);s<u.length;s++){var l=u[s],c=t[l];if("name"===l&&"string"==typeof c)a[l]=c;else{var p=kp(l);a[p]=hd(c,p)}}return a}var fd=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,i=e;r<i.length;r++){var o=i[r];this.add(o.key,o.value)}}}return t.prototype.add=function(t,e,n){if(null!=this.id2Value[t.id])throw new vp("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 Uo(e,t.dtype)}catch(n){throw new vp("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 lf){if(null==this.id2Value[t.id])throw new vp("Nonexistent key: "+t.name);return this.id2Value[t.id]}var e=this.name2Id[t];if(null==e)throw new vp("Feed dict has no SymbolicTensor name: "+t);return this.id2Value[e]},t.prototype.getMask=function(t){if(t instanceof lf){if(null==this.id2Value[t.id])throw new vp("Nonexistent key: "+t.name);return this.id2Mask[t.id]}var e=this.name2Id[t];if(null==e)throw new vp("Feed dict has no SymbolicTensor name: "+t);return this.id2Mask[e]},t.prototype.disposeMasks=function(){null!=this.id2Mask&&Ht(this.id2Mask)},t}(),dd={},md={};function gd(t,e,n,r){for(var i=null!=n&&n.training,o=Array.isArray(t),a=o?t:[t],s=a.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==dd[m]){var g=function(t,e){X.assert(null!=t&&t.length>0,function(){return"Expected at least one fetch, got none"});var n=[],r={};if(1===t.length){var i=yd(t[0],e);n=i.sorted,r=i.recipientMap}else for(var o=new Set,a=0,s=t;a<s.length;a++){for(var u=yd(s[a],e),l=u.sorted,c=u.recipientMap,p=0,h=l;p<h.length;p++){var f=h[p];o.has(f.name)||(n.push(f),o.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)}}(a,e);f=g.sorted,d=g.recipientCounts,dd[m]=f,md[m]=d}f=dd[m],d={},i||Object.assign(d,md[m]);for(var y=new fd(e),v=0;v<f.length;++v){if(null!=r){var b=ep().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var w=f[v],x=w.sourceLayer;if(!(x instanceof mf)){for(var N=[],S=[],C=[],E=!1,I=0,k=w.inputs;I<k.length;I++){var A=k[I],T=y.getValue(A),R=y.getMask(A);N.push(T),S.push(R),null!=R&&(E=!0),i||(d[A.name]--,0!==d[A.name]||e.hasKey(A)||-1!==s.indexOf(A.name)||T.isDisposed||C.push(T))}E&&((n=n||{}).mask=S[0]);var D=Ep(x.apply(N,n)),O=null;x.supportsMasking&&(O=x.computeMask(N,S));for(var _=vd(w),M=Array.isArray(_)?_:[_],L=0;L<M.length;++L){y.hasKey(M[L])||y.add(M[L],D[L],Array.isArray(O)?O[0]:O);var F=s.indexOf(M[L].name);-1!==F&&(u[F]=D[L])}i||Ht(C)}}return y.disposeMasks(),o?u:u[0]}function yd(t,e){for(var n=new Set,r=[],i={},o=0,a=e.names();o<a.length;o++){var s=a[o];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==i[d.name]&&(i[d.name]=new Set),i[d.name].add(c.name),n.has(d.name)||u.push(d)}}}}return{sorted:r,recipientMap:i}}function vd(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 i=0,o=t.sourceLayer.inboundNodes[r].outputTensors;i<o.length;i++)if(o[i].id===t.id){n=r;break}e=t.sourceLayer.getOutputAt(n)}return e}var bd=32;function wd(t,e){var n,r,i=e;n=i.xs,r=i.ys,X.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 o=xd("input",t.inputNames,n),a=xd("output",t.outputNames,r),s=o[0].shape[0];for(var u in X.assert(o.length===t.inputs.length,function(){return"LayersModel has "+t.inputs.length+" inputs, but the dataset provides "+o.length+" inputs.  (Expected input keys: "+JSON.stringify(t.inputNames)+")"}),X.assert(a.length===t.outputs.length,function(){return"LayersModel has "+t.outputs.length+" outputs, but the dataset provides "+a.length+" outputs.  (Expected output keys: "+JSON.stringify(t.outputNames)+")"}),o)X.assert(o[u].shape[0]===s,function(){return"Batch size mismatch: input "+t.inputNames[u]+" has "+o[u].shape[0]+"; expected  "+s+" based on input "+t.inputNames[0]+"."});for(var l in a)X.assert(a[l].shape[0]===s,function(){return"Batch size mismatch: output "+t.outputNames[l]+" has "+a[l].shape[0]+"; expected  "+s+" based on input "+t.inputNames[0]+"."});return o.concat(a)}function xd(t,e,n){if(n instanceof ut)return[n];if(Array.isArray(n))return X.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=[],i=0,o=e;i<o.length;i++){var a=o[i];if(null==n[a])throw new vp("The feature data generated by the dataset lacks the required "+t+" key '"+a+"'.");r.push(n[a])}return r}function Nd(t,e,n){return ap(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p,h,f,d,m,g,y,v,b,w,x,N,S,C,E,I,k,A,T;return sp(this,function(R){switch(R.label){case 0:if(r=null!=n.batchesPerEpoch,X.assert(null!=t.optimizer,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),X.assert(null!=n,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),X.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}),X.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}),X.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,R.label=1;case 1:return R.trys.push([1,,22,23]),i=null!=n.validationData,o=void 0,a=void 0,i&&(Sd(n.validationData)?X.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 bp("Validation with sample weights is not implemented yet.");return{xs:t[0],ys:t[1]}}(n.validationData),o=s.xs,a=s.ys)),u=t.makeTrainFunction(),l=t.getDedupedMetricsNames(),c=void 0,c=i?l.slice().concat(l.map(function(t){return"val_"+t})):l.slice(),p=Ef(n.callbacks),h=null==n.verbose?1:n.verbose,f=kf(p,n.yieldEvery,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,i,c),d=f.callbackList,m=f.history,d.setModel(t),t.history=m,[4,d.onTrainBegin()];case 2:return R.sent(),t.stopTraining_=!1,g=null==n.initialEpoch?0:n.initialEpoch,[4,e.iterator()];case 3:y=R.sent(),R.label=4;case 4:return g<n.epochs?(v={},[4,d.onEpochBegin(g)]):[3,19];case 5:return R.sent(),b=0,w=0,r?[3,7]:[4,e.iterator()];case 6:y=R.sent(),R.label=7;case 7:return!r||b<n.batchesPerEpoch?[4,y.next()]:[3,17];case 8:return x=R.sent(),r&&x.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."),[3,17]):null==x.value?[3,11]:(N=wd(t,x.value),(S={}).batch=w,S.size=N[0].shape[0],[4,d.onBatchBegin(w,S)]);case 9:for(R.sent(),C=u(N),Ht(N),T=0;T<l.length;++T)E=l[T],I=C[T],S[E]=I,Gt(I);return[4,d.onBatchEnd(w,S)];case 10:R.sent(),vf(S),w++,b++,R.label=11;case 11:return(r?b>=n.batchesPerEpoch:x.done)?i?(k=void 0,Sd(n.validationData)?(A=Ep,[4,t.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,13]):[3,15]:[3,16];case 12:return k=A.apply(void 0,[R.sent()]),[3,14];case 13:k=Ep(t.evaluate(o,a,{batchSize:null==n.validationBatchSize?bd:n.validationBatchSize,verbose:0})),R.label=14;case 14:for(T=0;T<t.metricsNames.length;++T)v["val_"+t.metricsNames[T]]=k[T];R.label=15;case 15:return[3,17];case 16:return t.stopTraining_?[3,17]:[3,7];case 17:return[4,d.onEpochEnd(g,v)];case 18:return R.sent(),g++,t.stopTraining_?[3,19]:[3,4];case 19:return[4,d.onTrainEnd()];case 20:return R.sent(),[4,t.history.syncData()];case 21:return R.sent(),[2,t.history];case 22:return t.isTraining=!1,[7];case 23:return[2]}})})}function Sd(t){return"function"==typeof t.iterator}function Cd(t){X.assert(t>0&&Number.isInteger(t),function(){return"batchSize is required to be a positive integer, but got "+t})}function Ed(t,e,n){return null==t?[null]:Array.isArray(t)?t.map(function(t){return gh(t,e,n-e)}):gh(t,e,n-e)}function Id(t,e){return qt(function(){return null==t?null:Array.isArray(t)?t.map(function(t){return Id(t,e)}):Ch(t,"int32"===e.dtype?e:e.toInt())})}function kd(t,e){for(var n=[],r=0,i=null;r<t;)(i=r+e)>=t&&(i=t),n.push([r,i]),r=i;return n}function Ad(t,e,n,r){return void 0===r&&(r={}),ap(this,void 0,void 0,function(){var i,o,a,s,u,l,c,p,h,f,d,m,g,y,v,b,w,x,N;return sp(this,function(S){switch(S.label){case 0:if(t.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");t.isTraining=!0,S.label=1;case 1:if(S.trys.push([1,,3,4]),Cd(c=null==r.batchSize?32:r.batchSize),p=t.standardizeUserData(e,n,!1,c),i=p[0],o=p[1],h=!1,f=void 0,null!=r.validationData&&r.validationData.length>0){if(h=!0,2!==r.validationData.length)throw 3===r.validationData.length?new bp("validationData including sample weights is not supported yet."):new vp("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");a=r.validationData[0],s=r.validationData[1],d=t.standardizeUserData(a,s,!0,c),u=d[0],l=d[1],f=u.concat(l)}else null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(h=!0,m=Math.floor(i[0].shape[0]*(1-r.validationSplit)),g=i[0].shape[0],u=Ed(i,m,g),i=Ed(i,0,m),l=Ed(o,m,g),o=Ed(o,0,m),f=u.concat(l)):null!=r.validationSteps&&(h=!0);return y=i.concat(o),t.checkTrainableWeightsConsistency(),v=t.makeTrainFunction(),b=t.getDedupedMetricsNames(),w=void 0,x=void 0,h?(t.makeTestFunction(),w=t.testFunction,x=b.slice().concat(b.map(function(t){return"val_"+t}))):(w=null,f=[],x=b.slice()),N=Ef(r.callbacks),[4,function(t,e,n,r,i,o,a,s,u,l,c,p,h,f,d,m){return ap(this,void 0,void 0,function(){var g,y,v,b,w,x,N,S;return sp(this,function(C){switch(C.label){case 0:if(null==i&&(i=32),null==o&&(o=1),null==c&&(c=!0),null==h&&(h=0),g=!1,null!=u&&null!=l&&(g=!0),null!=d&&(g=!0,null==f))throw new vp("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return null!=(y=t.checkNumSamples(n,i,f,"steps_per_epoch"))&&(v=fh(0,y)),null==a&&(a=1),b=kf(s,m,a,o,h,y,f,i,g,p),w=b.callbackList,x=b.history,w.setModel(t),t.history=x,[4,w.onTrainBegin()];case 1:C.sent(),t.stopTraining_=!1,N=function(o){var a,s,p,h,d;return sp(this,function(m){switch(m.label){case 0:return[4,w.onEpochBegin(o)];case 1:if(m.sent(),a={},null==f)return[3,2];throw new bp("stepsPerEpoch mode is not implemented yet.");case 2:if("batch"===c)throw new bp("batch shuffling is not implemneted yet");c&&X.shuffle(v),s=De(v),p=kd(y,i),h=function(o){var c;return sp(this,function(h){switch(h.label){case 0:return c={},[4,w.onBatchBegin(o,c)];case 1:return h.sent(),qt(function(){var h=p[o][0],f=p[o][1],d=gh(s,h,f-h);c.batch=o,c.size=f-h;for(var m=Id(n,d),y=e(m),v=0;v<r.length;++v){var b=r[v],w=y[v];c[b]=w,Gt(w)}if(o===p.length-1&&g){var x=t.testLoop(u,l,i);for(v=0;v<r.length;++v)b=r[v],w=x[v],Gt(w),a["val_"+b]=w}}),[4,w.onBatchEnd(o,c)];case 2:return h.sent(),vf(c),t.stopTraining_?[2,"break"]:[2]}})},d=0,m.label=3;case 3:return d<p.length?[5,h(d)]:[3,6];case 4:if("break"===m.sent())return[3,6];m.label=5;case 5:return++d,[3,3];case 6:s.dispose(),m.label=7;case 7:return[4,w.onEpochEnd(o,a)];case 8:return m.sent(),t.stopTraining_?[2,"break"]:[2]}})},S=h,C.label=2;case 2:return S<o?[5,N(S)]:[3,5];case 3:if("break"===C.sent())return[3,5];C.label=4;case 4:return++S,[3,2];case 5:return[4,w.onTrainEnd()];case 6:return C.sent(),[4,t.history.syncData()];case 7:return C.sent(),[2,t.history]}})})}(t,v,y,b,c,r.epochs,r.verbose,N,w,f,r.shuffle,x,r.initialEpoch,null,null,r.yieldEvery)];case 2:return[2,S.sent()];case 3:return t.isTraining=!1,Rd(i,e),Rd(o,n),Rd(u,a),Rd(l,s),[7];case 4:return[2]}})})}function Td(t){var e=[];t instanceof ut&&(t=[t]);for(var n=0;n<t.length;++n){var r=t[n];if(1===r.rank)e.push(mh(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 Rd(t,e){if(null!=t){var n=[];if(e instanceof ut)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 i=e[r];n.push(i.id)}var o=[];if(t instanceof ut)-1===n.indexOf(t.id)&&o.push(t);else if(Array.isArray(t))t.forEach(function(t){-1===n.indexOf(t.id)&&o.push(t)});else if(null!=t)for(var a in t){var s=t[a];-1===n.indexOf(s.id)&&o.push(s)}o.forEach(function(t){t.isDisposed||t.dispose()})}}function Dd(t){return Array.isArray(t)}function Od(t){return!function(t){return t instanceof ut}(t)&&!Dd(t)}function _d(t,e,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=""),null==e||0===e.length){if(null!=t){var o=!1;if(Dd(t)&&t.length>0)o=!0;else if(Od(t)){for(var a in t)if(t.hasOwnProperty(a)){o=!0;break}}else o=!0;if(o)throw new vp("Error when checking model "+i+" expected no data, but got "+t)}return[]}if(null==t)return e.map(function(t){return null});var s;if(Od(t)){t=t,s=[];for(var u=0,l=e;u<l.length;u++){var c=l[u];if(null==t[c])throw new vp('No data provided for "'+c+'". Need data for each key in: '+e);s.push(t[c])}}else if(Dd(t)){if((t=t).length!==e.length)throw new vp("Error when checking model "+i+": 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 vp("The model "+i+" expects "+e.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+t.shape);s=[t]}if(s=Td(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 vp("Error when checking "+i+": 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 vp("Error when checking "+i+": expected "+e[p]+" to have shape ["+n[p]+"], but got array with shape ["+h.shape+"].")}}return s}function Md(t,e,n,r,i){var o;if(void 0===r&&(r=!0),void 0===i&&(i=""),Array.isArray(t)){if(t.length!==e.length)throw new vp("Error when checking model "+i+": 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).");o=t}else{if(e.length>1)throw new vp("The model expects "+e.length+" "+i+" Tensors, but only received one Tensor. Found: array with shape "+JSON.stringify(t.shape)+".");o=[t]}if(null!=n)for(var a=0;a<e.length;++a)if(null!=n[a]){var s=o[a];if(s.shape.length!==n[a].length)throw new vp("Error when checking "+i+": expected "+e[a]+" to have "+n[a].length+" dimension(s), but got array with shape "+JSON.stringify(s.shape));for(var u=0;u<n[a].length;++u)if(0!==u||r){var l=s.shape[u],c=n[a][u];if(null!=c&&c!==l)throw new vp("Error when checking "+i+": expected "+e[a]+" to have shape "+JSON.stringify(n[a])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var Ld=function(t){function e(e){var n=t.call(this,e)||this;return n.isTraining=!1,n}return rp(e,t),e.prototype.summary=function(t,e,n){if(void 0===n&&(n=console.log),!this.built)throw new vp("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).");ad(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 Jc.adagrad(.01)},Adadelta:function(){return Jc.adadelta(1,.95,up())},Adam:function(){return Jc.adam(.001,.9,.999,up())},Adamax:function(){return Jc.adamax(.002,.9,.999,up(),0)},RMSProp:function(){return Jc.rmsprop(.001,.9,0,up())},SGD:function(){return Jc.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 vp("Unknown Optimizer "+t)}(t.optimizer);else{if(!(t.optimizer instanceof Vc))throw new vp("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer=t.optimizer}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 vp("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 jf(t)})}else{var i=jf(t.loss);this.outputs.forEach(function(t){n.push(i)})}else{for(var o in t.loss=t.loss,t.loss)if(-1===this.outputNames.indexOf(o))throw new vp('Unknown entry in loss dictionary: "'+o+'". Only expected the following keys: '+this.outputNames);for(var a=0,s=this.outputNames;a<s.length;a++){var u=s[a];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(jf(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=[],rh("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[]});if(Array.isArray(t))return e.map(function(e){return t});if(null!=t){for(var n=[],r=0,i=e;r<i.length;r++){var o=i[r],a=t.hasOwnProperty(o)?t[o]:[];Array.isArray(a)||(a=[a]),n.push(a)}return n}throw new TypeError("Type of metrics argument not understood. Expected an Array or Object, found: "+t)}(t.metrics,this.outputNames);rh("metric",function(){for(var t=function(t){if(-1!==h.indexOf(t))return"continue";!function(n){for(var r,i,o,a=function(n){if(-1!==["accuracy","acc","crossentropy","ce"].indexOf(n)){var a=e.internalOutputShapes[t];1===a[a.length-1]||e.lossFunctions[t]===Bf?-1!==["accuracy","acc"].indexOf(n)?i=qf:-1!==["crossentropy","ce"].indexOf(n)&&(i=Xf):e.lossFunctions[t]===Pf?-1!==["accuracy","acc"].indexOf(n)?i=Yf:-1!==["crossentropy","ce"].indexOf(n)&&(i=od):-1!==["accuracy","acc"].indexOf(n)?i=Gf:-1!==["crossentropy","ce"].indexOf(n)&&(i=rd);var s=void 0;-1!==["accuracy","acc"].indexOf(n)?s="acc":-1!==["crossentropy","ce"].indexOf(n)&&(s="ce"),o=i,r=""+s}else{var u=function(t){var e={binaryAccuracy:qf,categoricalAccuracy:Gf,precision:Kf,categoricalCrossentropy:rd,sparseCategoricalCrossentropy:od,mse:Jf,MSE:Zf,mae:Qf,MAE:td,mape:ed,MAPE:nd,cosine:id};if("string"==typeof t&&t in e)return e[t];if("string"!=typeof t&&null!=t)return t;throw new vp("Unknown metric "+t)}(n);o=u,r=""+n}var l;rh(r,function(){l=o}),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++)a(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;Cd(r);var i=this.standardizeUserData(t,e,!0,r);try{var o=i[0].concat(i[1]);this.makeTestFunction();var a=this.testFunction;return Cp(this.testLoop(a,o,r,n.verbose,n.steps))}finally{Rd(i[0],t),Rd(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return ap(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p,h;return sp(this,function(f){switch(f.label){case 0:if(r=null!=(n=n||{}).batches,i=t.testFunction,o=[],n.verbose>0)throw new bp("Verbose mode is not implemented yet.");return X.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:a=s,u=0,l=0,c=function(){var e,s,c,p,h,f;return sp(this,function(d){switch(d.label){case 0:return[4,a.next()];case 1:if((e=d.sent()).value){if(s=wd(t,e.value),c=qt(function(){return i(s)}),Ht(s),0===l)for(f=0;f<c.length;++f)o.push(mp(0));for(p=s[0].shape[0],h=function(t){var e=c[t],n=o[t];o[t]=qt(function(){return hu(o[t],Eu(mp(p),e))}),l>0&&Ht(n)},f=0;f<c.length;++f)h(f);Ht(c),u+=p,++l}return 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=function(t){var e=o[t];o[t]=qt(function(){return gu(o[t],mp(u))}),Ht(e)},h=0;h<o.length;++h)p(h);return[2,Cp(o)]}})})}(this,t,e)]})})},e.prototype.checkNumSamples=function(t,e,n,r){var i;if(void 0===r&&(r="steps"),null!=n){if(i=null,null!=e)throw new vp("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new vp("Either the input data should have a defined shape, or "+r+" shoud be specified.");i=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return i},e.prototype.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new vp("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],i=this.retrieveSymbolicTensors(r),o=new fd;if(t instanceof ut&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new vp("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var a=0;a<this.inputs.length;++a)o.add(this.inputs[a],t[a])}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 vp("No value is provided for the model's input "+l.name);o.add(l,c)}var p=gd(i,o);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=xp(null,t.length),n=t.length,r=0,i=this.layers;r<i.length;r++){for(var o=i[r],a=Array.isArray(o.output)?o.output:[o.output],s=a.map(function(t){return t.name}),u=0;u<t.length;++u){var l=s.indexOf(t[u]);if(-1!==l&&(e[u]=a[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 vp("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),qt(function(){var i=r.checkNumSamples(t);if(n)throw new bp("Verbose predictLoop() is not implemented yet.");for(var o=kd(i,e),a=r.outputs.map(function(t){return[]}),s=function(e){qt(function(){var n=o[e][0],i=o[e][1],a=Ed(t,n,i),s=[];if(Array.isArray(a))for(var u=0;u<a.length;++u)s.push({key:r.inputs[u],value:a[u]});else s.push({key:r.inputs[0],value:a});var l=new fd(s);return gd(r.outputs,l)}).forEach(function(t,e){return a[e].push(t)})},u=0;u<o.length;++u)s(u);return Cp(a.map(function(t){return xo(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=Td(t);Md(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return Cd(r),this.predictLoop(n,r)}finally{Rd(n,t)}},e.prototype.predictOnBatch=function(t){return Md(t,this.inputNames,this.feedInputShapes,!0),this.predictLoop(t,t.shape[0])},e.prototype.standardizeUserData=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new yp("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var a=this.feedOutputShapes[o];this.feedLossFns[o]===Pf?i.push(a.slice(0,a.length-1).concat([1])):i.push(a)}if(function(t,e,n){var r=Op(t.map(function(t){return t.shape[0]}));r.sort();var i=Op(e.map(function(t){return t.shape[0]}));if(i.sort(),r.length>1)throw new vp("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(i.length>1)throw new vp("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&&i.length>0&&!X.arraysEqual(r,i))throw new vp("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+i[0]+" target sample(s).")}(t=_d(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=_d(e,this.feedOutputNames,i,!1,"target")),function(t,e,n){for(var r=[Tf,Bf,zf],i=0;i<t.length;++i){var o=t[i],a=e[i],s=n[i];if(null!=a){if(a===zf&&1===o.shape[o.shape.length-1])throw new vp("You are passing a target array of shape "+o.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(a))for(var u=o.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new vp("A target Tensor with shape "+o.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new vp("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,null]},e.prototype.testLoop=function(t,e,n,r,i){var o=this;return void 0===r&&(r=0),qt(function(){var a=o.checkNumSamples(e,n,i,"steps"),s=[];if(r>0)throw new bp("Verbose mode is not implemented yet.");if(null!=i)throw new bp("steps mode in testLoop() is not implemented yet");for(var u=kd(a,n),l=De(fh(0,a)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=gh(l,p,h-p),d=Id(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(mp(0));for(g=0;g<m.length;++g){var y=m[g];s[g]=hu(s[g],Eu(mp(h-p),y))}}for(g=0;g<s.length;++g)s[g]=gu(s[g],mp(a));return s})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;Sp(t,r)>1&&(i+="_"+Sp(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=e.slice(0,t.inputs.length),r=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),i=[],o=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer.minimize(function(){for(var e=[],o=0;o<t.inputs.length;++o)e.push({key:t.inputs[o],value:n[o]});var a,s=new fd(e),u=gd(t.outputs,s,{training:!0});for(o=0;o<t.lossFunctions.length;++o){var l=(0,t.lossFunctions[o])(r[o],u[o]);Xs(l),a=0===o?l:hu(a,l)}for(o=0;o<t.metricsTensors.length;++o){var c=t.metricsTensors[o][0],p=t.metricsTensors[o][1],h=Xs(c(r[p],u[p]));Gt(h),i.push(h)}return a=Xs(a),t.calculateLosses().forEach(function(t){a=hu(a,t)}),a},!0,o)].concat(i)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return qt(function(){for(var n,r=[],i=e.slice(0,t.inputs.length),o=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),a=[],s=0;s<t.inputs.length;++s)a.push({key:t.inputs[s],value:i[s]});var u=new fd(a),l=gd(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=Xs(c(o[s],l[s]));n=0===s?p:hu(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=Xs(h(o[f],l[f]));r.push(d)}return r})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),ap(this,void 0,void 0,function(){return sp(this,function(r){return[2,Ad(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return[2,Nd(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return ap(this,void 0,void 0,function(){var n,r,i,o,a,s,u,l,c;return sp(this,function(p){switch(p.label){case 0:n=this.standardizeUserData(t,e),r=n[0],i=n[1],o=this.makeTrainFunction(),a=o(r.concat(i)),s=[],u=0,l=a,p.label=1;case 1:return u<l.length?[4,l[u].data()]:[3,4];case 2:c=p.sent(),s.push(c[0]),p.label=3;case 3:return u++,[3,1];case 4:return Ht(a),[2,Cp(s)]}})})},e.prototype.getNamedWeights=function(t){for(var e={},n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),o=0;o<r.length;++o)n&&!r[o].trainable||(e[r[o].originalName]=i[o]);return e},Object.defineProperty(e.prototype,"stopTraining",{set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),e.prototype.save=function(t,e){return ap(this,void 0,void 0,function(){var n,r,i,o,a;return sp(this,function(s){switch(s.label){case 0:if("string"==typeof t){if(0===(n=Ac.getSaveHandlers(t)).length)throw new vp("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new vp("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new vp("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,Ac.encodeWeights(this.getNamedWeights(e))];case 1:return r=s.sent(),i=!1,o=null,a=this.toJSON(o,i),[2,t.save({modelTopology:a,weightData:r.data,weightSpecs:r.specs,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.0.0",convertedBy:null})]}})})},e.className="Model",e}(function(t){function e(n){var r=t.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=hp(i)}if(r.supportsMasking=!1,r.trainable_=!0,r.updatable=!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],Op(r.inputs).length!==r.inputs.length)throw new vp("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}));Op(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(t){return t.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var o=0,a=r.outputs;o<a.length;o++){var s=(I=a[o]).sourceLayer,u=I.nodeIndex,l=I.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=(I=p[c]).sourceLayer,u=I.nodeIndex,l=I.tensorIndex,Np(0===u,"input layer has >1 nodes"),Np(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 mf))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={},y={},v={},b={},w=[],x=function(t,n,i,o,a,s){null!=o&&null!=a&&null!=s||(o=t.sourceLayer,a=t.nodeIndex,s=t.tensorIndex);var u=o.inboundNodes[a];if(-1!==i.indexOf(u))throw new yp("The tensor "+t.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(o,a)),o.id in b||(b[o.id]=Object.keys(b).length),-1===i.indexOf(u)&&i.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];x(p,n,i,h,f,d)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);w.push(u)}},N=[],S=[],C=0,E=r.outputs;C<E.length;C++){var I=E[C];x(I,N,S)}for(var k=0,A=w.slice().reverse();k<A.length;k++){g[(Y=A[k]).id]=Y,Y.id in m||(m[Y.id]=0);var T=m[Y.id],R=null==y[Y.outboundLayer.id]?0:y[Y.outboundLayer.id];for(T=Math.max(T,R),y[Y.outboundLayer.id]=T,v[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=T,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(T+1,_),g[O.id]=O}}var M={};for(var L in m)(T=m[L])in M||(M[T]=[]),M[T].push(g[L]);var F={};for(var z in y)(T=y[z])in F||(F[T]=[]),F[T].push(v[z]);var P=Object.keys(F).map(function(t){return parseInt(t,10)}).sort(Dp);r.layers=[];for(var B=0,U=P;B<U.length;B++){var W=F[T=U[B]];W.sort(function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0});for(var V=0,j=W;V<j.length;V++)s=j[V],r.layers.push(s)}r.layersByDepth=F,P=Object.keys(M).map(function(t){return parseInt(t,10)}).sort(Dp);for(var q=r.inputs.slice(),G=[],H=0,K=P;H<K.length;H++)for(var $=0,X=M[T=K[H]];$<X.length;$++){var Y;if(null!=(s=(Y=X[$]).outboundLayer)){for(var J=0,Z=Y.inputTensors;J<Z.length;J++)if(I=Z[J],-1===q.indexOf(I))throw new yp("Graph disconnected: cannot obtain value for tensor "+I+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+G);for(var Q=0,tt=Y.outputTensors;Q<tt.length;Q++)I=tt[Q],q.push(I);G.push(s.name)}}r.nodesByDepth=M;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 yp('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(et))},rt=0,it=et;rt<it.length;rt++)nt(it[rt]);return r.outboundNodes=[],r.inboundNodes=[],new pf({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 rp(e,t),e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){this.assertNotDisposed();var t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var e=0,n=this.layers;e<n.length;e++){var r=n[e];t.numDisposedVariables+=r.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new vp("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t=t.concat(r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],o=0,a=this.layers;o<a.length;o++)r=a[o],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n={},r=0,i=0,o=this.layers;i<o.length;i++)for(var a=0,s=o[i].weights;a<s.length;a++){var u=s[a];if(null!=n[u.originalName])throw new vp("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 vp("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 vp(p.length+" of "+r+" weights are not set: "+p)}sf(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.0.0",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 Ip(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var r=[],i=e.length,o=0;o<i;++o){var a=e[o];pd(n,o,a)?r.push(a):r.push(t(a,n))}return r}for(var s={},u=0,l=Object.keys(e);u<l.length;u++){var c=l[u],p=e[c];s[Ip(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 qt(function(){t=Ep(t);for(var r=new fd,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return gd(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return qt(function(){var r;return t=Ep(t),r=null==e?xp(null,t.length):Ep(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=Qh(t);if(e.length!==this.inputLayers.length)throw new vp("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var i=this.inputLayers[r],o=e[r];n[S=i.name+"_0_0"]=o}var a=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Dp);if(a.length>1)for(var s=0,u=a;s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){var h=p[c];if(i=h.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],y=h.tensorIndices[d],v=n[S=m.name+"_"+g+"_"+y];f.push(v)}var b=Qh(i.computeOutputShape(Cp(f))),w=i.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[S=i.name+"_"+w+"_"+d]=b[d]}}var x=[],N=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var S=i.name+"_"+w+"_"+y;N.push(S)}for(r=0;r<N.length;r++){var C=N[r];Np(C in n),x.push(n[C])}return Cp(x)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=xp(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],o=t[r],a=e[r];n[i.id]=[o,a]}for(var s=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Dp);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,y=0,v=d;y<v.length;y++)(i=v[y]).id in n&&g.push(n[i.id]);if(g.length===d.length){var b={},w=void 0,x=void 0,N=void 0,S=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var C=g[0],E=C[0],I=C[1];null==b.mask&&(b.mask=I),N=Ep(f.call(E,b)),S=Ep(f.computeMask(E,I)),w=[E],x=[I]}else w=g.map(function(t){return t[0]}),x=g.map(function(t){return t[1]}),null==b.mask&&(b.mask=x),N=Ep(f.call(w,b)),S=Ep(f.computeMask(w,x));if(f.activityRegularizer)throw new bp("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)i=m[r],o=N[r],a=S[r],n[i.id]=[o,a]}}for(var k=[],A=[],T=[],R=0,D=this.outputs;R<D.length;R++){Np((i=D[R]).id in n,"Could not compute output "+i.name+" : "+i.id);var O=n[i.id],_=O[0];a=O[1],T.push(_.shape),k.push(_),A.push(a)}return[k,A,T]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},i=0,o=this.layers;i<o.length;i++){var a=o[i];n=a instanceof e?1:0;for(var s=0;s<a.inboundNodes.length;s++){var u=e.nodeKey(a,s);this.containerNodes.has(u)&&(r[u]=n,n+=1)}}return r},e.prototype.getLayer=function(t,e){if(null!=e){if(this.layers.length<=e)throw new vp("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 vp("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===t)return i}throw new vp("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return qt(function(){for(var n=[],r=0,i=t.layers;r<i.length;r++)for(var o=i[r],a=0;a<o.inboundNodes.length;++a){var s=e.nodeKey(o,a);t.containerNodes.has(s)&&n.push.apply(n,o.calculateLosses())}return n})},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,o=this.layers;i<o.length;i++){for(var a=(w=o[i]).getClassName(),s=w.getConfig(),u=[],l=0;l<w.inboundNodes.length;l++){var c=w.inboundNodes[l],p=e.nodeKey(w,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+w.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],y=c.tensorIndices[d];null==(N=n[e.nodeKey(m,g)])&&(N=0),f.push([m.name,N,y,h])}u.push(f)}}}var v={};v.name=w.name,v.className=a,v.config=s,v.inboundNodes=u,r.push(v)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var w=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p)&&(null!==(N=n[p])&&void 0!==N||(N=0),y=this.inputLayersTensorIndices[d],b.push([w.name,N,y]))}t.inputLayers=b;var x=[];for(d=0;d<this.outputLayers.length;d++){var N;if(w=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p))null!==(N=n[p])&&void 0!==N||(N=0),y=this.outputLayersTensorIndices[d],x.push([w.name,N,y])}return t.outputLayers=x,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},o={};function a(t,e){t.name in o?o[t.name].push(e):o[t.name]=[e]}function s(t,e){for(var n,r=[],o=0,s=e;o<s.length;o++){var u=s[o],l=u[0],c=u[1],p=u[2];if(3===u.length)n={};else{if(4!==u.length)throw new vp("Improperly formatted model config for layer "+JSON.stringify(t)+": "+JSON.stringify(u));n=u[3]}if(!(l in i))return void a(t,e);var h=i[l];if(h.inboundNodes.length<=c)return void a(t,e);var f=h.inboundNodes[c];r.push(f.outputTensors[p])}r.length>0&&t.apply(Cp(r),n)}function u(t){var n=t.name,o=cd(t,null!=e.customObjects?e.customObjects:{});o.setFastWeightInitDuringBuild(r),i[n]=o;for(var s=0,u=t.inboundNodes;s<u.length;s++){var l=u[s];if(!(l instanceof Array))throw new vp("Corrupted configuration, expected array for nodeData: "+l);a(o,l)}}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!_p(o);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((T=i[m.name]).name in o){var g=o[T.name];delete o[T.name];for(var y=0,v=g;y<v.length;y++)s(T,v[y])}}for(var b=[],w=[],x=0,N=e.inputLayers;x<N.length;x++){var S=(m=N[x])[0],C=m[1],E=m[2];Np(S in i);var I=(T=i[S]).inboundNodes[C].outputTensors;b.push(I[E])}for(var k=0,A=e.outputLayers;k<A.length;k++){var T;S=(m=A[k])[0],C=m[1],E=m[2],Np(S in i),I=(T=i[S]).inboundNodes[C].outputTensors,w.push(I[E])}return new t({inputs:b,outputs:w,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new vp("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;qt(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(ff));function Fd(t,e){return ap(this,void 0,void 0,function(){var n;return sp(this,function(r){if(null==e&&(e={}),"string"==typeof t){if(0===(n=Ac.getLoadHandlers(t)).length)n.push(Ac.browserHTTPRequest(t,e));else if(n.length>1)throw new vp("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return ap(this,void 0,void 0,function(){var r,i,o,a,s,u;return sp(this,function(l){switch(l.label){case 0:if(null==n&&(n={}),null==t.load)throw new vp("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),o=null==n.strict||n.strict,a=null!=r.weightData&&null!=r.weightSpecs&&o,s=cd(hd(i),e,a),null!=r.weightData){if(null==r.weightSpecs)throw new vp("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");u=Ac.decodeWeights(r.weightData,r.weightSpecs),s.loadWeights(u,o),Ht(u)}return[2,s]}})})}(t,void 0,e)]})})}Fc.registerClass(Ld);var zd=function(t){function e(e){var n=t.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=e.name?e.name:hp("sequential_"),null!=e.layers)for(var r=0,i=e.layers;r<i.length;r++){var o=i[r];n.add(o)}return n}return rp(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new vp("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 Ld;if(r){if(1!==(n=t).outputs.length)throw new vp("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 vp("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 vp("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=gf({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new vp("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 vp("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];var i=n.inboundNodes[r];if(0===i.inboundLayers.length)return i.inputTensors;for(var o=[],a=0;a<i.inboundLayers.length;a++)for(var s=0,u=t(i.inputTensors[a],i.inboundLayers[a],i.nodeIndices[a]);s<u.length;s++){var l=u[s];-1===o.indexOf(l)&&o.push(l)}return o}(this.outputs[0])}this.inboundNodes=[],new pf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:xp(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1},e.prototype.pop=function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},e.prototype.call=function(t,e){return null==this.model&&this.build(),this.model.call(t,e)},e.prototype.build=function(t){if(ef(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 Ld({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,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)},Object.defineProperty(e.prototype,"updatable",{get:function(){return this._updatable},set:function(t){this.built&&(this.model.updatable=t),this._updatable=t},enumerable:!0,configurable:!0}),e.prototype.evaluate=function(t,e,n){if(void 0===n&&(n={}),!this.built)throw new yp("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){if(!this.built)throw new yp("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.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),ap(this,void 0,void 0,function(){return sp(this,function(r){if(!this.built)throw new yp("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){if(!this.built)throw new yp("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},e.prototype.trainOnBatch=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},e.fromConfig=function(t,n,r,i){var o;void 0===r&&(r={}),void 0===i&&(i=!1);var a={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new vp("Legacy serialization format not supported yet.");o=n}else X.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."}),o=n.layers,delete n.layers,a=n;var s=new t(a);if(!(s instanceof e))throw new bp("Sequential.fromConfig called on non-Sequential input: "+s);for(var u=0,l=o;u<l.length;u++){var c=cd(l[u],void 0,i);i&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},Object.defineProperty(e.prototype,"stopTraining",{set:function(t){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],i={};i.className=r.getClassName(),i.config=r.getConfig(),t.push(i)}return t},e.className="Sequential",e}(Ld);function Pd(t){return gf(t)}Fc.registerClass(zd);var Bd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.getConfig=function(){return{}},e}(Fc.Serializable),Ud=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(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 bp("Support for alpha values other than 1 ("+e+") is not implemented yet.");return Bu(t)}(t,e)},e.className="elu",e}(Bd);Fc.registerClass(Ud);var Wd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return ju(t)},e.className="selu",e}(Bd);Fc.registerClass(Wd);var Vd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return Vu(t)},e.className="relu",e}(Bd);Fc.registerClass(Vd);var jd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return qt(function(){return xu(mp(6),Vu(t))})},e.className="relu6",e}(Bd);Fc.registerClass(jd);var qd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(Bd);Fc.registerClass(qd);var Gd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return La(t)},e.className="sigmoid",e}(Bd);Fc.registerClass(Gd);var Hd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return function(t){return qt(function(){var e=hu(mp(.5),Eu(mp(.2),t));return xa(e,0,1)})}(t)},e.className="hardSigmoid",e}(Bd);Fc.registerClass(Hd);var Kd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return Ba(t)},e.className="softplus",e}(Bd);Fc.registerClass(Kd);var $d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return function(t){return qt(function(){return gu(t,hu(mp(1),fa(t)))})}(t)},e.className="softsign",e}(Bd);Fc.registerClass($d);var Xd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return qa(t)},e.className="tanh",e}(Bd);Fc.registerClass(Xd);var Yd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Ce(t,e)},e.className="softmax",e}(Bd);function Jd(t){return t.getClassName()}function Zd(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"activation")}function Qd(t){var e;return null==t?Zd(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},Zd(e)):t instanceof Bd?t:Zd(t)}Fc.registerClass(Yd);var tm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e}(Fc.Serializable),em=function(t){function e(e){var n=t.call(this)||this,r=null==e||null==e.l1?.01:e.l1,i=null==e||null==e.l2?.01:e.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=mp(r),n.l2=mp(i),n}return rp(e,t),e.prototype.apply=function(t){var e=this;return qt(function(){var n=Pe([1]);return e.hasL1&&(n=hu(n,Zs(Eu(e.l1,fa(t))))),e.hasL2&&(n=hu(n,Zs(Eu(e.l2,Eh(t))))),n.asScalar()})},e.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},e.fromConfig=function(t,e){return new t({l1:e.l1,l2:e.l2})},e.className="L1L2",e}(tm);Fc.registerClass(em);var nm={l1l2:"L1L2"};function rm(t){return Tp(t)}function im(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"regularizer")}function om(t){return null==t?null:"string"==typeof t?im({className:t in nm?nm[t]:t,config:{}}):t instanceof tm?t:im(t)}var am=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 rp(e,t),e.prototype.call=function(t,e){t=tf(t);var n=Vu(t);return null!=this.maxValue&&(n=xa(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}(ff);Fc.registerClass(am);var sm=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 rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return Uu(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}(ff);Fc.registerClass(sm);var um=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=Yh(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=om(e.alphaRegularizer),n.alphaConstraint=Hp(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 vp("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return rp(e,t),e.prototype.build=function(t){var e=(t=ef(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(o=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var o=1;o<t.length;++o)i[o]=t[o];this.inputSpec=[new uf({ndim:t.length,axes:i})],this.built=!0},e.prototype.call=function(t,e){return t=tf(t),Wu(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:Xh(this.alphaInitializer),alphaRegularizer:rm(this.alphaRegularizer),alphaConstraint:qp(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(ff);Fc.registerClass(um);var lm=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 bp("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 rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return Bu(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}(ff);Fc.registerClass(lm);var cm=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.thetaTensor=mp(n.theta),n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return n.mul(dh(n.greater(this.thetaTensor),"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}(ff);Fc.registerClass(cm);var pm=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 Yd).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(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}(ff);function hm(t,e,n){if("number"==typeof t)return xp(t,e);if(t.length!==e)throw new vp("The "+n+" argument must be a tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var i=t[r];if(!uh(i))throw new vp("The "+n+" argument must be a tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+i)}return t}function fm(t,e,n,r,i){return void 0===i&&(i=1),null==t?t:(o="same"===n?t:t-(e+(e-1)*(i-1))+1,Math.floor((o+r-1)/r));var o}function dm(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+hh([n-e,0]);else{if("same"!==r)throw new vp("Unsupport padding mode: "+r+".");t*=e}return t}function mm(t,e){return qt(function(){return Qp(e),"channelsFirst"===e?qu(t,[0,2,3,1]):t})}Fc.registerClass(pm);var gm=function(t){function e(n,r){var i=t.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),i.rank=n,Fp(i.rank,"rank"),1!==i.rank&&2!==i.rank)throw new bp("Convolution layer for rank other than 1 or 2 ("+i.rank+") is not implemented yet.");if(i.kernelSize=hm(r.kernelSize,n,"kernelSize"),i.strides=hm(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,th(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Qp(i.dataFormat),i.activation=Qd(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=Yh(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=Hp(r.biasConstraint),i.biasRegularizer=om(r.biasRegularizer),i.activityRegularizer=om(r.activityRegularizer),i.dilationRate=hm(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new vp("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(i.dilationRate));if(2===i.rank)if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new vp("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(i.dilationRate));return i}return rp(e,t),e.verifyArgs=function(t){if(Np("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!Lp(t.kernelSize,"number",1,2))throw new vp("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, 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:Jd(this.activation),useBias:this.useBias,biasInitializer:Xh(this.biasInitializer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),biasConstraint:qp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),ym=function(t){function e(n,r){var i=t.call(this,n,r)||this;return i.kernel=null,e.verifyArgs(r),i.filters=r.filters,Fp(i.filters,"filters"),i.kernelInitializer=Yh(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=Hp(r.kernelConstraint),i.kernelRegularizer=om(r.kernelRegularizer),i}return rp(e,t),e.prototype.build=function(t){var e;t=ef(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new vp("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e;t=tf(t);var r=null==n.bias?null:n.bias.read();if(1===n.rank)e=function(t,e,n,r,i,o,a){return void 0===r&&(r=1),void 0===i&&(i="valid"),void 0===a&&(a=1),qt(function(){if(null==o&&(o="channelsLast"),Qp(o),3!==t.shape.length)throw new vp("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new vp("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new vp("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===o&&(t=qu(t,[0,2,1])),"causal"===i)throw new bp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=ys(t,e,r,"same"===i?"same":"valid","NWC",a);return null!=n&&(s=Ih(s,n)),s})}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=function(t,e,n,r,i,o,a){return void 0===r&&(r=[1,1]),void 0===i&&(i="valid"),qt(function(){if(null==o&&(o="channelsLast"),Qp(o),3!==t.rank&&4!==t.rank)throw new vp("conv2dWithBias expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new vp("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+t.rank+".");var s=mm(t,o);if("causal"===i)throw new bp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s=vs(s,e,r,"same"===i?"same":"valid","NHWC",a),null!=n&&(s=Ih(s,n)),"channelsFirst"===o&&(s=qu(s,[0,3,1,2])),s})}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new bp("3D convolution is not implemented yet.");return null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ef(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var i=fm(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(i)}var o=[t[0]];return"channelsLast"===this.dataFormat?(o=o.concat(e)).push(this.filters):(o.push(this.filters),o=o.concat(e)),o},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:Xh(this.kernelInitializer),kernelRegularizer:rm(this.kernelRegularizer),kernelConstraint:qp(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 vp("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(gm),vm=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return rp(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&&!Lp(t.kernelSize,"number",1,2))throw new vp("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(ym);Fc.registerClass(vm);var bm=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new uf({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new vp("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return rp(e,t),e.prototype.build=function(t){var e;if(4!==(t=ef(t)).length)throw new vp("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 vp("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uf({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);if(4!==e.shape.length)throw new vp("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,i,o=e.shape,a=o[0];"channelsFirst"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=o[r],u=o[i],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[a,dm(s,p,l,n.padding),dm(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=qu(e,[0,2,3,1]));var d=Ss(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=qu(d,[0,3,1,2])),null!=n.bias&&(d=Ih(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=ef(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var o=this.kernelSize[0],a=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return i[e]=this.filters,i[n]=dm(i[n],s,o,this.padding),i[r]=dm(i[r],u,a,this.padding),i},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(vm);Fc.registerClass(bm);var wm=function(t){function e(e){return t.call(this,2,e)||this}return rp(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 vp("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new vp("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 vp("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=Yh(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=om(n.depthwiseRegularizer),r.depthwiseConstraint=Hp(n.depthwiseConstraint),r.pointwiseInitializer=Yh(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=om(n.pointwiseRegularizer),r.pointwiseConstraint=Hp(n.pointwiseConstraint),r}return rp(e,t),e.prototype.build=function(t){var e;if((t=ef(t)).length<this.rank+2)throw new vp("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 vp("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],i=this.kernelSize.concat([r,this.depthMultiplier]),o=[],a=0;a<this.rank;++a)o.push(1);o.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new uf({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e;if(t=tf(t),1===n.rank)throw new bp("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=qu(t,[0,2,3,1])),e=Ns(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=Ih(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=qu(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=Xh(this.depthwiseInitializer),e.pointwiseInitializer=Xh(this.pointwiseInitializer),e.depthwiseRegularizer=rm(this.depthwiseRegularizer),e.pointwiseRegularizer=rm(this.pointwiseRegularizer),e.depthwiseConstraint=qp(this.depthwiseConstraint),e.pointwiseConstraint=qp(this.pointwiseConstraint),e},e.className="SeparableConv",e}(ym));Fc.registerClass(wm);var xm=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return rp(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&&!Lp(t.kernelSize,"number",1,1))throw new vp("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(ym);Fc.registerClass(xm);var Nm=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 rp(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 qt(function(){return t=tf(t),"channelsLast"===n.dataFormat?vh(vh(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):vh(vh(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}(ff);Fc.registerClass(Nm);var Sm=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 rp(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 qt(function(){var e=tf(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=qu(e,[0,2,3,1]);var i=n.size[0]*r[2],o=n.size[1]*r[3],a=e.resizeNearestNeighbor([i,o]);return qu(a,[0,3,1,2])}return i=n.size[0]*r[1],o=n.size[1]*r[2],e.resizeNearestNeighbor([i,o])})},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}(ff);Fc.registerClass(Sm);var Cm=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=Yh(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Hp(e.depthwiseConstraint),n.depthwiseRegularizer=om(e.depthwiseRegularizer),n}return rp(e,t),e.prototype.build=function(t){if((t=ef(t)).length<4)throw new vp("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 vp("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 qt(function(){var e=function(t,e,n,r,i,o){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),qt(function(){null==i&&(i="channelsLast"),Qp(i);var a=mm(t,i);if(4!==t.rank)throw new vp("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new vp("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return a=xs(a,e,n,"same"===r?"same":"valid","NHWC",o),"channelsFirst"===i&&(a=qu(a,[0,3,1,2])),a})}(t=tf(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=Ih(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ef(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=fm(e,this.kernelSize[0],this.padding,this.strides[0]),o=fm(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,o]:[t[0],i,o,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Xh(this.depthwiseInitializer),e.depthwiseRegularizer=rm(this.depthwiseRegularizer),e.depthwiseConstraint=qp(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(gm);Fc.registerClass(Cm);var Em=function(t){function e(e){var n=t.call(this,e)||this;if(n.rate=Math.max(Math.min(e.rate,1),0),n.rateScalar=mp(n.rate),n.noiseShape=e.noiseShape,n.seed=e.seed,null!=n.seed)throw new bp("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return rp(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 qt(function(){n.invokeCallHook(t,e);var r=tf(t);if(null!=n.noiseShape&&!X.arraysEqual(r.shape,n.noiseShape))throw new bp("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=e.training&&e.training,o=n.getNoiseShape(r);return Ah(function(){return kh(r,n.rateScalar,o,n.seed)},function(){return r},i)}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(){var e=t.prototype.dispose.call(this);return this.rateScalar.isDisposed||(this.rateScalar.dispose(),e.numDisposedVariables++),e},e.className="Dropout",e}(ff);Fc.registerClass(Em);var Im=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,Fp(n.units,"units"),n.activation=Qd(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Hp(e.kernelConstraint),n.biasConstraint=Hp(e.biasConstraint),n.kernelRegularizer=om(e.kernelRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.activityRegularizer=om(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return rp(e,t),e.prototype.build=function(t){var e,n=(t=ef(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=ef(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=Sh(tf(t),n.kernel.read());return null!=n.bias&&(r=Ih(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),biasConstraint:qp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(ff);Fc.registerClass(Im);var km=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return rp(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=ef(t)).slice(1);e<n.length;e++)if(null==n[e])throw new vp('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],lh(t,1)]},e.prototype.call=function(t,e){var n=this;return qt(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new vp("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],lh(t.shape,1)];return t.reshape(e)}(tf(t))})},e.className="Flatten",e}(ff);Fc.registerClass(km);var Am=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=Qd(e.activation),n}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:Jd(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(ff);Fc.registerClass(Am);var Tm=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return qt(function(){return function(t,e){return qt(function(){if(2!==t.shape.length)throw new vp("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return xh(mh(t,1),[1,e,1])})}(t=tf(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}(ff);Fc.registerClass(Tm);var Rm=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 rp(e,t),e.prototype.isUnknown=function(t){return t<0||null==t},e.prototype.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),i=1,o=null,a=0;a<r.length;++a){var s=r[a];if(this.isUnknown(s)){if(null!==o)throw new vp("Can only specifiy one unknown dimension.");o=a}else i*=s}var u=lh(t);if(null!==o){if(0===i||u%i!=0)throw new vp(n);r[o]=u/i}else if(u!==i)throw new vp(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 qt(function(){n.invokeCallHook(t,e);var r=tf(t),i=r.shape,o=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(o)})},e.prototype.getConfig=function(){var e={targetShape:this.targetShape},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Reshape",e}(ff);Fc.registerClass(Rm);var Dm=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=fh(1,e.dims.length+1);if(!X.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 uf({ndim:n.dims.length+1})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e=(t=ef(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return qu(tf(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}(ff);Fc.registerClass(Dm);var Om=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(Ep(e.inputLength))}return n.inputDim=e.inputDim,Fp(n.inputDim,"inputDim"),n.outputDim=e.outputDim,Fp(n.outputDim,"outputDim"),n.embeddingsInitializer=Yh(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=om(e.embeddingsRegularizer),n.activityRegularizer=om(e.activityRegularizer),n.embeddingsConstraint=Hp(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return rp(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 qt(function(){return n.maskZero?(t=tf(t),cu(t,je(t))):null})},e.prototype.computeOutputShape=function(t){if(t=ef(t),null==this.inputLength)return t.concat([this.outputDim]);var e=Ep(this.inputLength);if(e.length!==t.length-1)throw new vp('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var i=e[r],o=t[r+1];if(null!=i&&null!=o&&i!==o)throw new vp('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==i&&(e[n]=o),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t);return"int32"!==r.dtype&&(r=dh(r,"int32")),Ch(n.embeddings.read(),r.as1D()).reshape(ef(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Xh(this.embeddingsInitializer),embeddingsRegularizer:rm(this.embeddingsRegularizer),activityRegularizer:rm(this.activityRegularizer),embeddingsConstraint:qp(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(ff);Fc.registerClass(Om);var _m=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return rp(e,t),e.prototype.mergeFunction=function(t){throw new bp},e.prototype.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var i=t[t.length-e.length+r],o=e[r];if(null==i||null==o||i<0||o<0)n.push(null);else if(1===i)n.push(o);else if(1===o)n.push(i);else{if(i!==o)throw new vp("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(i)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[ef(t)]),(t=t).length<2)throw new vp("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e=[],n=0,r=t;n<r.length;n++)null!=(a=r[n])&&null!==a[0]&&e.push(a[0]);if((e=Op(e)).length>1)throw new vp("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var i=null==t[0]?null:t[0].slice(1),o=1;o<t.length;++o){var a=null==t[o]?null:t[o].slice(1);i=this.computeElementwiseOpOutputShape(i,a)}var s=t.map(function(t){return t.length});-1===t.indexOf(null)&&1===Op(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){if(t=t,n.reshapeRequired){var e=[],r=t.map(function(t){return t.rank});if(-1===r.indexOf(null)){for(var i=hh(r),o=0,a=t;o<a.length;o++){for(var s=(h=a[o]).rank,u=0;u<i-s;++u)h=mh(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(lh(f.slice(1))));g=(g=qu(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var y=fh(1,s).concat([0]);e.push(qu(h,y)),l=!0}else e.push(h)}var v=n.mergeFunction(e),b=v.rank;if(l)if(null==b){var w=v.shape;m=[d=w[w.length-1]].concat(w.slice(0,w.length-1)),v=qu(v.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(y=[b-1].concat(fh(0,b-1)),v=qu(v,y));return v}return n.mergeFunction(t)})},e.prototype.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var i=[],o=0,a=t;o<a.length;o++)null!=(r=a[o])&&null!==r[0]&&i.push(r[0]);return 1===(i=Op(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return qt(function(){if(null==e)return null;if(!Array.isArray(e))throw new vp("`mask` should be an Array");if(!Array.isArray(t))throw new vp("`inputs` should be an Array");if(e.length!==t.length)throw new vp("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:qo(t,0)}))[0],r=1;r<e.length-1;++r)n=_u(n,e[r]);return n})},e}(ff),Mm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=hu(e,t[n]);return e})},e.className="Add",e}(_m);Fc.registerClass(Mm);var Lm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Eu(e,t[n]);return e})},e.className="Multiply",e}(_m);Fc.registerClass(Lm);var Fm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=hu(e,t[n]);return Eu(mp(1/t.length),e)})},e.className="Average",e}(_m);Fc.registerClass(Fm);var zm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0],n=1;n<t.length;++n)e=bu(e,t[n]);return e})},e.className="Maximum",e}(_m);Fc.registerClass(zm);var Pm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0],n=1;n<t.length;++n)e=xu(e,t[n]);return e})},e.className="Minimum",e}(_m);Fc.registerClass(Pm);var Bm=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 rp(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new vp("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 i=[],o=0;o<t.length;++o){var a=t[o].slice();a.splice(this.axis,1);for(var s=!1,u=0,l=i;u<l.length;u++){var c=l[u];if(X.arraysEqual(c,a)){s=!0;break}}s||i.push(a)}if(i.length>1)throw new vp("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 qt(function(){return bh(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new vp("A `Concatenate` layer should be called on a list of inputs.");for(var e=t,n=e[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,o=e.slice(1);i<o.length;i++){var a=o[i];if(null==n[r]||null==a[r]){n[r]=null;break}n[r]+=a[r]}return n},e.prototype.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new vp("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new vp("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new vp("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return qt(function(){var r=!0;if(e.forEach(function(t){null==t||(r=!1)}),r)return null;for(var i=[],o=0;o<t.length;++o)null==e[o]?i.push(Ve(t[o]).asType("bool")):e[o].rank<t[o].rank?i.push(qo(e[o],-1)):i.push(e[o]);var a=xo(i,n.axis);return js(a,-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}(_m);function Um(t,e){for(;t<0;)t+=e;return t}Fc.registerClass(Bm);var Wm=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 rp(e,t),e.prototype.build=function(t){X.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 bp("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 vp("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new vp("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 Um(e,t[n].shape.length)}):[Um(this.axes,n.shape.length),Um(this.axes,r.shape.length)],this.normalize&&(n=Af(n,e[0]),r=Af(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new bp("batchDot is not implemented for tensors of 4D or higher rank yet");if(X.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),X.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 bp("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,i=e.shape.length;null==n&&(n=[r-1,i-2]);var o=n;return qt(function(){var n,a;if(r>i){n=r-i;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(i>r){for(n=i-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)a=o[0]===o[1]?t.mulStrict(e).sum(o[0]):t.transpose([1,0]).mulStrict(e).sum(o[1]);else{var l=o[0]!==t.shape.length-1,c=o[1]===e.shape.length-1;a=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>i?r+i-3:r-1;u<p+n;++u)h.push(u);a=a.squeeze(h)}return 1===a.shape.length&&(a=a.expandDims(1)),a})}(n,r,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[Um(this.axes,t.length),Um(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){X.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 bp("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 i=e.concat(n);return 1===i.length&&i.push(1),i},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}(_m);function Vm(t,e,n,r,i,o){var a;if(void 0===o&&(o=.001),2===t.rank)a=ns(t,e,n,r,i,o);else if(3===t.rank)a=rs(t,e,n,r,i,o);else{if(4!==t.rank)throw new bp("batchNormalization is not implemented for array of rank "+t.rank+" yet");a=is(t,e,n,r,i,o)}return a}function jm(t,e,n,r,i){return void 0===i&&(i=.001),X.arraysEqual(r.slice().sort(),fh(0,t.rank-1))?function(t,e,n,r,i){return void 0===i&&(i=.001),qt(function(){var o=Js(t,r),a=o.mean,s=o.variance;return[Vm(t,a,s,n,e,i),a,s]})}(t,e,n,r,i):function(t,e,n,r,i){return void 0===i&&(i=.001),qt(function(){for(var o=Js(t,r),a=o.mean,s=o.variance,u=[],l=0,c=fh(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=a.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[Vm(t,h,f,m,d,i),a,s]})}(t,e,n,r,i)}Fc.registerClass(Wm);var qm=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=Yh(e.betaInitializer||"zeros"),n.gammaInitializer=Yh(e.gammaInitializer||"ones"),n.movingMeanInitializer=Yh(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Yh(e.movingVarianceInitializer||"ones"),n.betaConstraint=Hp(e.betaConstraint),n.gammaConstraint=Hp(e.gammaConstraint),n.betaRegularizer=om(e.betaRegularizer),n.gammaRegularizer=om(e.gammaRegularizer),n}return rp(e,t),e.prototype.build=function(t){var e;t=ef(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new vp("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new uf({ndim:t.length,axes:(e={},e[n]=r,e)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var r=null!=e.training&&e.training,i=tf(t),o=i.shape,a=o.length,s=fh(0,a),u=n.axis>=0?n.axis:n.axis+a;s.splice(u,1);var l=xp(1,a);l[u]=o[u];var c=s.slice();c.sort();var p=!X.arraysEqual(c,fh(0,a).slice(0,a-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,o=n.scale?n.gamma.read().reshape(l):null;return Vm(i,t,e,r,o,n.epsilon)}return Vm(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=jm(i,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){qt(function(){var r=mp(1).sub(mp(n)),i=t.read(),o=i.sub(e).mul(r);t.write(i.sub(o))})};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:Xh(this.betaInitializer),gammaInitializer:Xh(this.gammaInitializer),movingMeanInitializer:Xh(this.movingMeanInitializer),movingVarianceInitializer:Xh(this.movingVarianceInitializer),betaRegularizer:rm(this.betaRegularizer),gammaRegularizer:rm(this.gammaRegularizer),betaConstraint:qp(this.betaConstraint),gammaConstraint:qp(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(ff);Fc.registerClass(qm);var Gm=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 vp("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new vp("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 vp("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");i=e.padding[1]}n.padding=[r,i]}return n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=ef(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 qt(function(){return function(t,e,n){return qt(function(){if(4!==t.rank)throw new vp("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 vp("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 vp("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]],$o(t,r)})}(tf(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}(ff);function Hm(t,e,n,r,i,o){return qt(function(){var a;Qp(i),function(t){Mp(Yp,"PoolMode",t)}(o),th(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),t=mm(t,i);var s="same"===r?"same":"valid";return a="max"===o?Ms(t,e,n,s):Ls(t,e,n,s),"channelsFirst"===i&&(a=qu(a,[0,3,1,2])),a})}Fc.registerClass(Gm);var Km=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 vp("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(Fp(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 vp("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 Fp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,th(n.padding),n.inputSpec=[new uf({ndim:3})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e=fm((t=ef(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 qt(function(){n.invokeCallHook(t,e),t=mh(tf(t),2);var r=n.poolingFunction(tf(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return ia(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}(ff),$m=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(Km);Fc.registerClass($m);var Xm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(Km);Fc.registerClass(Xm);var Ym=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 vp("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 Fp(n.poolSize,"poolSize"),Fp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qp(n.dataFormat),th(n.padding),n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){t=ef(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=fm(e,this.poolSize[0],this.padding,this.strides[0]),n=fm(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 qt(function(){return n.invokeCallHook(t,e),n.poolingFunction(tf(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}(ff),Jm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(Ym);Fc.registerClass(Jm);var Zm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(Ym);Fc.registerClass(Zm);var Qm=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new uf({ndim:3})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new bp},e}(ff),tg=function(t){function e(e){return t.call(this,e||{})||this}return rp(e,t),e.prototype.call=function(t,e){return qt(function(){var e=tf(t);return Xs(e,1)})},e.className="GlobalAveragePooling1D",e}(Qm);Fc.registerClass(tg);var eg=function(t){function e(e){return t.call(this,e||{})||this}return rp(e,t),e.prototype.call=function(t,e){return qt(function(){var e=tf(t);return $s(e,1)})},e.className="GlobalMaxPooling1D",e}(Qm);Fc.registerClass(eg);var ng=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qp(n.dataFormat),n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},e.prototype.call=function(t,e){throw new bp},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),rg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);return"channelsLast"===n.dataFormat?Xs(e,[1,2]):Xs(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(ng);Fc.registerClass(rg);var ig=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);return"channelsLast"===n.dataFormat?$s(e,[1,2]):$s(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(ng);function og(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new vp("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function ag(t,e,n,r,i,o,a,s){return void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===s&&(s=!1),qt(function(){var u=e.shape.length;if(u<3)throw new vp("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(fh(2,u));if(e=qu(e,l),null!=o)throw new bp("The rnn() functoin of the deeplearn.js backend does not support constants yet.");a&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=i&&((i=i.asType("bool").asType("float32")).rank===u-1&&(i=qo(i,-1)),i=qu(i,l)),r&&(e=ks(e,0),null!=i&&(i=ks(i,0)));var c,p,h=[],f=n,d=e.shape[0],m=ua(e);null!=i&&(p=ua(i));for(var g,y=function(e){var n=m[e],r=qt(function(){return t(n,f)});if(null==i)c=r[0],f=r[1];else{var o=qt(function(){var t=p[e],n=Ve(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map(function(e,i){return r[1][i].mul(t).addStrict(e.mul(n))})}});c=o.output,f=o.newStates}s&&h.push(c)},v=0;v<d;++v)y(v);return s&&(g=oa(h,1)),[c,g,f]})}Fc.registerClass(ig);var sg=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new vp("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new mg({cells:e.cell}):e.cell).stateSize)throw new vp("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 uf({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return rp(e,t),e.prototype.getStates=function(){return null==this.states_?fh(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){Zh(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var i=[],o=0,a=e;o<a.length;o++){var s=a[o];i.push([t[0],s])}return[n].concat(i)}return n},e.prototype.computeMask=function(t,e){var n=this;return qt(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 bp("Constants support is not implemented in RNN yet.");Zh(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new uf({shape:[e,null,n]});var r,i=[t[0]].concat(t.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!X.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),r))throw new vp("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 uf({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),qt(function(){if(!n.stateful)throw new gp("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new vp("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 Pe([r,t])}):n.states_=[Pe([r,n.cell.stateSize])];else if(null==t)Ht(n.states_),null!=n.keptStates&&(Ht(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Pe([r,t])}):n.states_[0]=Pe([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new vp("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()):Ht(n.states_);for(var i=0;i<n.states_.length;++i){var o=t[i],a=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,a];if(!X.arraysEqual(o.shape,s))throw new vp("State "+i+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+o.shape);n.states_[i]=o}}n.states_.forEach(function(t){return Gt(t)})})},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var o=og(e,r,i,this.numConstants);e=o.inputs,r=o.initialState,i=o.constants;var a=[],s=[];if(null!=r){n.initialState=r,a=a.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new uf({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,a=a.concat(i),this.numConstants=i.length),a[0]instanceof lf){var p=[e].concat(a),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 qt(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,o=null==e?null:e.initialState;t=tf(t),null==o&&(o=n.stateful?n.states_:n.getInitialState(t));var a=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(o.length!==a)throw new vp("RNN Layer has "+a+" state(s) but was passed "+o.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:i},u=ag(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,o,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h})},e.prototype.getInitialState=function(t){var e=this;return qt(function(){var n=Pe(t.shape);return n=mh(n=Zs(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?xh(n,[1,t]):n}):e.cell.stateSize>1?[xh(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.className="RNN",e}(ff);Fc.registerClass(sg);var ug=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e}(ff),lg=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,Fp(n.units,"units"),n.activation=Qd(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return rp(e,t),e.prototype.build=function(t){t=ef(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 qt(function(){if(2!==(t=t).length)throw new vp("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var i,o=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(r)},n.recurrentDropout,o));var a=n.dropoutMask,s=n.recurrentDropoutMask;i=Sh(null!=a?Eu(t,a):t,n.kernel.read()),null!=n.bias&&(i=Ih(i,n.bias.read())),null!=s&&(r=Eu(r,s));var u=hu(i,Sh(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:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(ug);Fc.registerClass(lg);var cg=function(t){function e(e){return e.cell=new lg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},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:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.className="SimpleRNN",e}(sg);Fc.registerClass(cg);var pg=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,Fp(n.units,"units"),n.activation=Qd(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Qd(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return rp(e,t),e.prototype.build=function(t){var e=(t=ef(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 qt(function(){if(2!==(t=t).length)throw new vp("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,i=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(i)},n.recurrentDropout,r,3));var o,a,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Eu(t,u[0]));var c=Sh(t,n.kernel.read());n.useBias&&(c=Ih(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Eu(i,l[0]));var p=n.recurrentKernel.read(),h=Io(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=Sh(i,f),g=Io(c,3,c.rank-1),y=g[0],v=g[1],b=g[2],w=Io(m,2,m.rank-1),x=w[0],N=w[1];o=n.recurrentActivation.apply(hu(y,x)),a=n.recurrentActivation.apply(hu(v,N));var S=Sh(Eu(a,i),d);s=n.activation.apply(hu(b,S));var C=hu(Eu(o,i),Eu(hu(mp(1),Da(o)),s));return[C,C]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(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}(ug);Fc.registerClass(pg);var hg=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 pg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},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:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(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}(sg);Fc.registerClass(hg);var fg=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,Fp(n.units,"units"),n.activation=Qd(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Qd(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([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 rp(e,t),e.prototype.build=function(t){var e,n,r=(t=ef(t))[t.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,o=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){var n=i.apply([o]),r=(new _h).apply([o]),a=i.apply([2*o]);return wh(wh(n,r),a)},e}(Dh)).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 qt(function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new vp("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var i=t[1],o=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(i)},n.recurrentDropout,r,4));var a,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Eu(t,c[0]));var h=Sh(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Eu(i,p[0])),h=hu(h,Sh(i,n.recurrentKernel.read())),n.useBias&&(h=Ih(h,n.bias.read()));var f=Io(h,4,h.rank-1),d=f[0],m=f[1],g=f[2],y=f[3];a=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=hu(Eu(s,o),Eu(a,n.activation.apply(g))),l=n.recurrentActivation.apply(y);var v=Eu(l,n.activation.apply(u));return[v,v,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(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}(ug);Fc.registerClass(fg);var dg=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 fg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},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:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(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}(sg);Fc.registerClass(dg);var mg=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return rp(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 qt(function(){for(var r=(t=t).slice(1),i=[],o=0,a=n.cells.slice().reverse();o<a.length;o++){var s=a[o];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=i[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;Zh(t)&&(t=t[0]),t=t;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(t),e=Array.isArray(i.stateSize)?i.stateSize[0]:i.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 i=r[n];e.push({className:this.getClassName(),config:i.getConfig()})}var o={cells:e},a=t.prototype.getConfig.call(this);return Object.assign(o,a),o},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r=[],i=0,o=e.cells;i<o.length;i++){var a=o[i];r.push(cd(a,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 i=[],o=0,a=this.cells;o<a.length;o++)r=a[o],i.push.apply(i,r.trainableWeights);return i.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 af(t)},e.prototype.setWeights=function(t){for(var e=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],o=i.weights.length,a=t.splice(o),s=0;s<i.weights.length;++s)e.push([i.weights[s],a[s]]);sf(e)},e.className="StackedRNNCells",e}(ug);function gg(t,e,n,r){function i(){return kh(t(),mp(e))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var o=[],a=0;a<r;a++)o.push(Ah(i,t,n));return o.forEach(function(t){return Gt(t)}),o}return Gt(Ah(i,t,n))}Fc.registerClass(mg);var yg=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return rp(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=cd(e.layer,n);delete e.layer;var i={layer:r};return Object.assign(i,e),new t(i)},e}(ff),vg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return rp(e,t),e.prototype.build=function(e){if((e=ef(e)).length<3)throw new vp("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=ef(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 qt(function(){return ag(function(t,r){return[tf(n.layer.call(t,e)),[]]},t=tf(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(yg);Fc.registerClass(vg);var bg="concat",wg=function(t){function e(e){var n=t.call(this,e)||this,r=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=r,n.forwardLayer=cd(i),r.goBackwards=!0!==r.goBackwards;var o={};if(o.className=e.layer.getClassName(),o.config=r,n.backwardLayer=cd(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?bg:e.mergeMode,function(t){Mp(Jp,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new bp("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 rp(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,i=this.forwardLayer.computeOutputShape(t);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),e=i[0]):e=i[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()):Cp(n)},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var o=og(e,r,i,this.numConstants);if(e=o.inputs,r=o.initialState,i=o.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==i)return t.prototype.apply.call(this,e,n);var a=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new vp("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,a.push.apply(a,r);var l=r.map(function(t){return new uf({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!=i)throw new bp("Support for constants in Bidirectional layers is not implemented yet.");for(var c=a[0]instanceof lf,p=0,h=a;p<h.length;p++)if(h[p]instanceof lf!==c)throw new vp("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(a),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 qt(function(){if(null!=e.mask)throw new bp("The support for masking is not implemented for Bidirectional layers yet.");var r,i,o,a,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),i=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})),i=n.backwardLayer.call(t,Object.assign(e,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(o=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=ks(i,1)),"concat"===n.mergeMode?a=bh([r,i]):"sum"===n.mergeMode?a=hu(r,i):"ave"===n.mergeMode?a=Eu(mp(.5),hu(r,i)):"mul"===n.mergeMode?a=Eu(r,i):null==n.mergeMode&&(a=[r,i]),n.returnState?null==n.mergeMode?a.concat(o):[a].concat(o):a})},e.prototype.resetStates=function(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},e.prototype.build=function(t){var e=this;rh(this.forwardLayer.name,function(){e.forwardLayer.build(t)}),rh(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=cd(e.layer);if(delete e.layer,null!=e.numConstants)throw new bp("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}(yg);function xg(t){return new Xm(t)}function Ng(t){return new Zm(t)}function Sg(t){return new eg(t)}function Cg(t){return new ig(t)}function Eg(t){return new $m(t)}function Ig(t){return new Jm(t)}Fc.registerClass(wg);var kg=Sg,Ag=Cg,Tg=Eg,Rg=Ig,Dg=Object.freeze({inputLayer:function(t){return new mf(t)},elu:function(t){return new lm(t)},reLU:function(t){return new am(t)},leakyReLU:function(t){return new sm(t)},prelu:function(t){return new um(t)},softmax:function(t){return new pm(t)},thresholdedReLU:function(t){return new cm(t)},conv1d:function(t){return new xm(t)},conv2d:function(t){return new vm(t)},conv2dTranspose:function(t){return new bm(t)},separableConv2d:function(t){return new wm(t)},cropping2D:function(t){return new Nm(t)},upSampling2d:function(t){return new Sm(t)},depthwiseConv2d:function(t){return new Cm(t)},activation:function(t){return new Am(t)},dense:function(t){return new Im(t)},dropout:function(t){return new Em(t)},flatten:function(t){return new km(t)},repeatVector:function(t){return new Tm(t)},reshape:function(t){return new Rm(t)},permute:function(t){return new Dm(t)},embedding:function(t){return new Om(t)},add:function(t){return new Mm(t)},average:function(t){return new Fm(t)},concatenate:function(t){return new Bm(t)},maximum:function(t){return new zm(t)},minimum:function(t){return new Pm(t)},multiply:function(t){return new Lm(t)},dot:function(t){return new Wm(t)},batchNormalization:function(t){return new qm(t)},zeroPadding2d:function(t){return new Gm(t)},averagePooling1d:xg,avgPool1d:function(t){return xg(t)},avgPooling1d:function(t){return xg(t)},averagePooling2d:Ng,avgPool2d:function(t){return Ng(t)},avgPooling2d:function(t){return Ng(t)},globalAveragePooling1d:function(t){return new tg(t)},globalAveragePooling2d:function(t){return new rg(t)},globalMaxPooling1d:Sg,globalMaxPooling2d:Cg,maxPooling1d:Eg,maxPooling2d:Ig,gru:function(t){return new hg(t)},gruCell:function(t){return new pg(t)},lstm:function(t){return new dg(t)},lstmCell:function(t){return new fg(t)},simpleRNN:function(t){return new cg(t)},simpleRNNCell:function(t){return new lg(t)},rnn:function(t){return new sg(t)},stackedRNNCells:function(t){return new mg(t)},bidirectional:function(t){return new wg(t)},timeDistributed:function(t){return new vg(t)},globalMaxPool1d:kg,globalMaxPool2d:Ag,maxPool1d:Tg,maxPool2d:Rg,Layer:ff,RNN:sg,RNNCell:ug,input:Pd});var Og=Object.freeze({binaryAccuracy:function(t,e){return qf(t,e)},binaryCrossentropy:function(t,e){return Xf(t,e)},sparseCategoricalAccuracy:function(t,e){return Yf(t,e)},categoricalAccuracy:function(t,e){return Gf(t,e)},categoricalCrossentropy:function(t,e){return rd(t,e)},precision:function(t,e){return Kf(t,e)},recall:function(t,e){return $f(t,e)},cosineProximity:function(t,e){return Vf(t,e)},meanAbsoluteError:function(t,e){return Rf(t,e)},meanAbsolutePercentageError:function(t,e){return Df(t,e)},MAPE:function(t,e){return Df(t,e)},mape:function(t,e){return Df(t,e)},meanSquaredError:function(t,e){return Tf(t,e)},MSE:function(t,e){return Tf(t,e)},mse:function(t,e){return Tf(t,e)}}),_g=Object.freeze({modelFromJSON:function(t,e){return ap(this,void 0,void 0,function(){var n,r,i,o,a,s,u,l;return sp(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=hd(n),i=cd(r,e),null==t.weightsManifest?[3,2]:[4,Ac.loadWeights(t.weightsManifest,t.pathPrefix,i.weights.map(function(t){return t.originalName}))];case 1:for(o=c.sent(),a={},s=0,u=i.weights;s<u.length;s++)l=u[s],a[l.originalName]=o[l.originalName];i.loadWeights(a),Ht(o),c.label=2;case 2:return[2,i]}})})}});var Mg,Lg=Object.freeze({l1l2:function(t){return new em(t)},l1:function(t){return function(t){return new em({l1:null!=t?t.l1:null,l2:0})}(t)},l2:function(t){return function(t){return new em({l2:null!=t?t.l2:null,l1:0})}(t)}}),Fg=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.model=null,e}return rp(e,t),e.prototype.setModel=function(t){if(!(t instanceof Ld))throw new Error("model must be a LayersModel, not some other Container");this.model=t},e}(bf),zg=function(){return(zg=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t}).apply(this,arguments)};function Pg(t,e,n,r){return new(n||(n=Promise))(function(i,o){function a(t){try{u(r.next(t))}catch(t){o(t)}}function s(t){try{u(r.throw(t))}catch(t){o(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(a,s)}u((r=r.apply(t,e||[])).next())})}function Bg(t,e){var n,r,i,o,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&o[0]?r.return:o[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,o[1])).done)return i;switch(r=0,i&&(o=[2&o[0],i.value]),o[0]){case 0:case 1:i=o;break;case 4:return a.label++,{value:o[1],done:!1};case 5:a.label++,r=o[1],o=[0];continue;case 7:o=a.ops.pop(),a.trys.pop();continue;default:if(!(i=(i=a.trys).length>0&&i[i.length-1])&&(6===o[0]||2===o[0])){a=0;continue}if(3===o[0]&&(!i||o[1]>i[0]&&o[1]<i[3])){a.label=o[1];break}if(6===o[0]&&a.label<i[1]){a.label=i[1],i=o;break}if(i&&a.label<i[2]){a.label=i[2],a.ops.push(o);break}i[2]&&a.ops.pop(),a.trys.pop();continue}o=e.call(t,a)}catch(t){o=[6,t],r=0}finally{n=i=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}}function Ug(t,e,n,r){var i=e.inputParams[t];if(i&&void 0!==i.inputIndexStart){var o=i.inputIndexStart,a=0===i.inputIndexEnd?void 0:void 0===i.inputIndexEnd?o+1:i.inputIndexEnd;if("tensor"===i.type)return Wg(e.inputNames[i.inputIndexStart],n,r);if("tensors"===i.type)return e.inputNames.slice(o,a).map(function(t){return Wg(t,n,r)});var s=Array.prototype.slice.call(Wg(e.inputNames.slice(o)[0],n,r).dataSync());return"number"===i.type?s[0]:s}var u=e.attrParams[t];return u&&u.value}function Wg(t,e,n){var r=qg(t),i=r[0],o=r[1],a=n.currentContextIds.find(function(t){return!!e[jg(i,t)]});return void 0!==a?e[jg(i,a)][o]:void 0}function Vg(t,e){var n=qg(t),r=n[0],i=n[1];return[jg(r,e&&e.currentContextId),i]}function jg(t,e){return e?t+"-"+e:t}function qg(t){var e=t.lastIndexOf(":");return-1===e?[t,0]:[t.substring(0,e),Number(t.substring(e+1))]}function Gg(t,e){for(var n=[],r=0;r<t.length;r+=e)n.push(t.slice(r,r+e));return n}!function(t){!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"}(t.DataType||(t.DataType={})),function(t){!function(t){t[t.LEGACY=0]="LEGACY",t[t.V1=1]="V1",t[t.V2=2]="V2"}(t.CheckpointFormatVersion||(t.CheckpointFormatVersion={}))}(t.SaverDef||(t.SaverDef={}))}(Mg||(Mg={}));var Hg=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:"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}]}]}),Kg=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:"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:"Neg",category:"basic_math",inputs:[{start:0,name:"x",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}]}]}),$g=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"}]}]}),Xg=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:"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:"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[]"}]}]}),Yg=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"}]}]}),Jg=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}]}]}),Zg=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"}]}]}),Qg=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:"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"}]}]}),ty=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}]}]}),ny=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:"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:"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}]}]}),iy=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"}]}]}),oy=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}]}]}),ay=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}]}]}),sy=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"}]}]}),uy=["Switch","Merge","Enter","Exit","NextIteration"],ly=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"],cy=function(){function t(){var t=[Hg,Kg,$g,Xg,Yg,Jg,Zg,ey,ty,Qg,ny,ry,iy,oy,ay,sy],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.isControlFlow=function(t){return uy.some(function(e){return e===t.op})},t.prototype.isDynamicShape=function(t){return ly.some(function(e){return e===t.op})},t.prototype.transformGraph=function(t){var e=this,n=!1,r=!1,i=[],o=[],a=t.node.reduce(function(t,a){return t[a.name]=e.mapNode(a),e.isControlFlow(a)&&(n=!0),e.isDynamicShape(a)&&(r=!0),"Placeholder"===a.op&&i.push(t[a.name]),"Const"===a.op&&o.push(t[a.name]),t},{}),s=[],u=[];return Object.keys(a).forEach(function(t){var e=a[t];e.inputNames.forEach(function(t){var n=Vg(t)[0];e.inputs.push(a[n]),a[n].children.push(e)}),0===e.inputs.length&&s.push(e)}),Object.keys(a).forEach(function(t){var e=a[t];0===e.children.length&&u.push(e)}),{nodes:a,inputs:s,outputs:u,weights:o,placeholders:i,withControlFlow:n,withDynamicShape:r}},t.prototype.mapNode=function(t){var e=this,n=this.opMappers[t.op];if(void 0===n)throw new Error("Tensorflow Op is not supported: "+t.op);var r={name:t.name,op:t.op,category:n.category,inputNames:(t.input||[]).map(function(t){return t.startsWith("^")?t.substr(1):t}),inputs:[],children:[],inputParams:{},attrParams:{}};return null==t.attr&&(t.attr={}),null!=n.inputs&&(r.inputParams=n.inputs.reduce(function(t,e){return t[e.name]={type:e.type,inputIndexStart:e.start,inputIndexEnd:e.end},t},{})),null!=n.attrs&&(r.attrParams=n.attrs.reduce(function(n,r){var i=r.type,o=void 0;switch(r.type){case"string":void 0===(o=e.getStringParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getStringParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"number":void 0===(o=e.getNumberParam(t.attr,r.tfName,r.defaultValue||0))&&r.tfDeprecatedName&&(o=e.getNumberParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":void 0===(o=e.getNumericArrayParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getNumericArrayParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":void 0===(o=e.getBoolParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getBoolParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":void 0===(o=e.getTensorShapeParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getTensorShapeParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":void 0===(o=e.getDtypeParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getDtypeParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+r.type+" for op: "+t.op)}return n[r.name]={value:o,type:i},n},{})),r},t.prototype.decodeBase64=function(t){if("undefined"!=typeof atob)return 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.prototype.getStringParam=function(t,e,n,r){void 0===r&&(r=!1);var i=t[e];if(void 0!==i){var o=Array.isArray(i.s)?String.fromCharCode.apply(null,i.s):this.decodeBase64(i.s);return r?o:o.toLowerCase()}return n},t.prototype.getBoolParam=function(t,e,n){var r=t[e];return r?r.b:n},t.prototype.getNumberParam=function(t,e,n){var r=t[e]||{},i=r.i?r.i:r.f?r.f:n;return"number"==typeof i?i:parseInt(i,10)},t.prototype.getDtypeParam=function(t,e,n){var r=t[e];if(r&&r.type){var i=r.type;switch("string"==typeof r.type&&(i=Mg.DataType[r.type]),i){case Mg.DataType.DT_FLOAT:return"float32";case Mg.DataType.DT_INT32:return"int32";case Mg.DataType.DT_BOOL:return"bool";default:return n}}return n},t.prototype.getTensorShapeParam=function(t,e,n){var r=t[e];if(r&&r.shape){if(r.shape.unknownRank)return;if(null!=r.shape.dim)return r.shape.dim.map(function(t){return"number"==typeof t.size?t.size:parseInt(t.size,10)})}return n},t.prototype.getNumericArrayParam=function(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},t}(),py=function(t,e,n){switch(t.op){case"BiasAdd":case"Add":return[hu(Ug("a",t,e,n),Ug("b",t,e,n))];case"AddN":return[fu(Ug("tensors",t,e,n))];case"FloorMod":case"Mod":return[Su(Ug("a",t,e,n),Ug("b",t,e,n))];case"Mul":return[Eu(Ug("a",t,e,n),Ug("b",t,e,n))];case"RealDiv":case"Div":return[gu(Ug("a",t,e,n),Ug("b",t,e,n))];case"FloorDiv":return[vu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Sub":return[Du(Ug("a",t,e,n),Ug("b",t,e,n))];case"Minimum":return[xu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Maximum":return[bu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Pow":return[ku(Ug("a",t,e,n),Ug("b",t,e,n))];case"SquaredDifference":return[Tu(Ug("a",t,e,n),Ug("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},hy=function(t,e,n){switch(t.op){case"Abs":return[fa(Ug("x",t,e,n))];case"Acos":return[da(Ug("x",t,e,n))];case"Acosh":return[ma(Ug("x",t,e,n))];case"Asin":return[ga(Ug("x",t,e,n))];case"Asinh":return[ya(Ug("x",t,e,n))];case"Atan":return[va(Ug("x",t,e,n))];case"Atan2":return[mu(Ug("x",t,e,n),Ug("y",t,e,n))];case"Atanh":return[ba(Ug("x",t,e,n))];case"Ceil":return[wa(Ug("x",t,e,n))];case"Cos":return[Na(Ug("x",t,e,n))];case"Cosh":return[Sa(Ug("x",t,e,n))];case"Elu":return[Bu(Ug("x",t,e,n))];case"Erf":return[Ca(Ug("x",t,e,n))];case"Exp":return[Ea(Ug("x",t,e,n))];case"Expm1":return[Ia(Ug("x",t,e,n))];case"Floor":return[ka(Ug("x",t,e,n))];case"Log":return[Aa(Ug("x",t,e,n))];case"Log1p":return[Ta(Ug("x",t,e,n))];case"Neg":return[Da(Ug("x",t,e,n))];case"Reciprocal":return[Oa(Ug("x",t,e,n))];case"Relu":return[Vu(Ug("x",t,e,n))];case"Round":return[_a(Ug("x",t,e,n))];case"Selu":return[ju(Ug("x",t,e,n))];case"Sigmoid":return[La(Ug("x",t,e,n))];case"Sin":return[za(Ug("x",t,e,n))];case"Sign":return[Fa(Ug("x",t,e,n))];case"Sinh":return[Pa(Ug("x",t,e,n))];case"Softplus":return[Ba(Ug("x",t,e,n))];case"Sqrt":return[Ua(Ug("x",t,e,n))];case"Square":return[Wa(Ug("x",t,e,n))];case"Tanh":return[qa(Ug("x",t,e,n))];case"Tan":return[ja(Ug("x",t,e,n))];case"Relu6":case"ClipByValue":return[xa(Ug("x",t,e,n),Ug("clipValueMin",t,e,n),Ug("clipValueMax",t,e,n))];case"Rsqrt":return[Ma(Wg(t.inputNames[0],e,n))];case"Prod":return[Qs(Ug("x",t,e,n),Ug("axes",t,e,n))];case"LeakyRelu":return[Uu(Ug("x",t,e,n),Ug("alpha",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},fy=function(){function t(e,n,r,i,o,a,s){this.name=e,this.dtype=n,this.maxSize=r,this.elementShape=i,this.identicalElementShapes=o,this.dynamicSize=a,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 Te([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),oa(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 Te([],[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+")"),xo(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,ua(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,i=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 o=0===r?0:e.size/r,a=[];qt(function(){e=e.reshape([1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:i[s-1],0],l=[1,t[s],o];a[s]=zs(e,u,l).reshape(n.elementShape)}return a});for(var s=[],u=0;u<t.length;u++)s[u]=u;this.writeMany(s,a)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),X.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 dy=function(t,e,n){switch(t.op){case"Conv1D":var r=Ug("stride",t,e,n),i=Ug("pad",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase(),a=Ug("dilation",t,e,n);return[ys(Ug("x",t,e,n),Ug("filter",t,e,n),r,i,o,a)];case"Conv2D":r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase();var s=Ug("dilations",t,e,n);return[vs(Ug("x",t,e,n),Ug("filter",t,e,n),[r[1],r[2]],i,o,[s[0],s[1]])];case"Conv2DBackpropInput":case"Conv2dTranspose":var u=Ug("outputShape",t,e,n);return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),[Ss(Ug("x",t,e,n),Ug("filter",t,e,n),u,[r[1],r[2]],i)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),s=Ug("dilations",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase(),[xs(Ug("input",t,e,n),Ug("filter",t,e,n),[r[1],r[2]],i,o,[s[0],s[1]])];case"AvgPool":r=Ug("strides",t,e,n),i=Ug("pad",t,e,n);var l=Ug("kernelSize",t,e,n);return[Ls(Ug("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];case"MaxPool":return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),l=Ug("kernelSize",t,e,n),[Ms(Ug("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},my=function(t,e,n){switch(t.op){case"Fill":var r=Ug("shape",t,e,n),i=Ug("dtype",t,e,n);return[Be(r,Ug("value",t,e,n),i)];case"LinSpace":var o=Ug("start",t,e,n);return[Ue(o,Ug("stop",t,e,n),Ug("num",t,e,n))];case"OneHot":var a=Ug("indices",t,e,n),s=Ug("depth",t,e,n),u=Ug("onValue",t,e,n),l=Ug("offValue",t,e,n);return[Ko(a,s,u,l)];case"Ones":return[ze(Ug("shape",t,e,n),Ug("dtype",t,e,n))];case"OnesLike":return[Ve(Ug("x",t,e,n))];case"RandomUniform":return[ea(Ug("shape",t,e,n),Ug("minval",t,e,n),Ug("maxval",t,e,n),Ug("dtype",t,e,n))];case"Range":return[We(o=Ug("start",t,e,n),Ug("stop",t,e,n),Ug("step",t,e,n),Ug("dtype",t,e,n))];case"TruncatedNormal":r=Ug("shape",t,e,n);var c=Ug("mean",t,e,n),p=Ug("stdDev",t,e,n),h=Ug("seed",t,e,n);return[sa(r,c,p,Ug("dtype",t,e,n),h)];case"Zeros":return[Pe(Ug("shape",t,e,n),Ug("dtype",t,e,n))];case"ZerosLike":return[je(Ug("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}};var gy=function(t,e,n){switch(t.op){case"TopKV2":var r=Ug("x",t,e,n),i=Ug("k",t,e,n),o=Ug("sorted",t,e,n),a=el(r,i,o);return[a.values,a.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},yy=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=Ug("default",t,e,n);return[Wg(t.name,e,n)||r];case"Placeholder":return[Wg(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[Ug("x",t,e,n).clone()];case"Shape":return[De(Ug("x",t,e,n).shape,"int32")];case"ShapeN":return Ug("x",t,e,n).map(function(t){return De(t.shape)});case"Size":return[Re(Ug("x",t,e,n).size,"int32")];case"Rank":return[Re(Ug("x",t,e,n).rank,"int32")];case"NoOp":return[];case"Print":var i=Ug("x",t,e,n),o=Ug("data",t,e,n),a=Ug("message",t,e,n),s=Ug("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(a);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[u].dataSync()).slice(0,s));return[i];default:throw TypeError("Node type "+t.op+" is not implemented")}},vy=function(t,e,n){switch(t.op){case"ResizeBilinear":var r=Ug("images",t,e,n),i=Ug("size",t,e,n),o=Ug("alignCorners",t,e,n);return[Rl.resizeBilinear(r,[i[0],i[1]],o)];case"ResizeNearestNeighbor":return r=Ug("images",t,e,n),i=Ug("size",t,e,n),o=Ug("alignCorners",t,e,n),[Rl.resizeNearestNeighbor(r,[i[0],i[1]],o)];case"CropAndResize":var a=Ug("image",t,e,n),s=Ug("boxes",t,e,n),u=Ug("boxInd",t,e,n),l=Ug("cropSize",t,e,n),c=Ug("method",t,e,n),p=Ug("extrapolationValue",t,e,n);return[Rl.cropAndResize(a,s,u,l,c,p)];default:throw TypeError("Node type "+t.op+" is not implemented")}},by=function(t,e,n){switch(t.op){case"Equal":return[tu(Ug("a",t,e,n),Ug("b",t,e,n))];case"NotEqual":return[cu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Greater":return[nu(Ug("a",t,e,n),Ug("b",t,e,n))];case"GreaterEqual":return[ru(Ug("a",t,e,n),Ug("b",t,e,n))];case"Less":return[au(Ug("a",t,e,n),Ug("b",t,e,n))];case"LessEqual":return[su(Ug("a",t,e,n),Ug("b",t,e,n))];case"LogicalAnd":return[_u(Ug("a",t,e,n),Ug("b",t,e,n))];case"LogicalNot":return[Mu(Ug("a",t,e,n))];case"LogicalOr":return[Lu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Select":return[zu(Ug("condition",t,e,n),Ug("a",t,e,n),Ug("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},wy=function(t,e,n){switch(t.op){case"BatchMatMul":case"MatMul":return[Cs(Ug("a",t,e,n),Ug("b",t,e,n),Ug("transposeA",t,e,n),Ug("transposeB",t,e,n))];case"Transpose":return[qu(Ug("x",t,e,n),Ug("perm",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},xy=function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[es(Ug("x",t,e,n),Ug("mean",t,e,n),Ug("variance",t,e,n),Ug("offset",t,e,n),Ug("scale",t,e,n),Ug("epsilon",t,e,n))];case"LRN":return[Gu(Ug("x",t,e,n),Ug("radius",t,e,n),Ug("bias",t,e,n),Ug("alpha",t,e,n),Ug("beta",t,e,n))];case"Softmax":return[Ce(Ug("x",t,e,n))];case"LogSoftmax":return[Ee(Ug("x",t,e,n))];case"SparseToDense":return[ul(Ug("sparseIndices",t,e,n),Ug("outputShape",t,e,n),Ug("sparseValues",t,e,n),Ug("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Ny=function(t,e,n){switch(t.op){case"Max":var r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n);return[$s(Ug("x",t,e,n),r,i)];case"Mean":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Xs(Ug("x",t,e,n),r,i)];case"Min":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Ys(Ug("x",t,e,n),r,i)];case"Sum":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Zs(Ug("x",t,e,n),r,i)];case"All":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[js(Ug("x",t,e,n),r,i)];case"Any":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[qs(Ug("x",t,e,n),r,i)];case"ArgMax":return r=Ug("axis",t,e,n),[Gs(Ug("x",t,e,n),r)];case"ArgMin":return r=Ug("axis",t,e,n),[Hs(Ug("x",t,e,n),r)];case"Prod":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Qs(Ug("x",t,e,n),r,i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Sy=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=Ug("axis",t,e,n),i=Ug("tensors",t,e,n);return[xo(i,r)];case"GatherV2":case"Gather":r=Ug("axis",t,e,n);var o=Ug("x",t,e,n),a=Ug("indices",t,e,n);return[Xu(o,a.asType("int32"),r)];case"ReverseV2":case"Reverse":return r=Ug("axis",t,e,n),o=Ug("x",t,e,n),[ks(o,r)];case"Slice":var s=Ug("begin",t,e,n),u=Ug("size",t,e,n);return[zs(Ug("x",t,e,n),s,u)];case"StridedSlice":s=Ug("begin",t,e,n);var l=Ug("end",t,e,n),c=Ug("strides",t,e,n),p=Ug("beginMask",t,e,n),h=Ug("endMask",t,e,n),f=Ug("ellipsisMask",t,e,n),d=Ug("newAxisMask",t,e,n),m=Ug("shrinkAxisMask",t,e,n),g=Ug("x",t,e,n);if(1===s.length&&g.shape.length>1)for(var y=1;y<g.shape.length;y++)s.push(0),l.push(g.shape[y]),c.push(c[0]);return[tl(g,s,l,c,p,h,f,d,m)];case"Pack":return qt(function(){var r=Ug("axis",t,e,n),i=Ug("tensors",t,e,n),o=i[0].shape,a=i[0].squeeze().shape,s=i.map(function(t){var e=X.arraysEqual(t.shape,o);if(!e&&!X.arraysEqual(t.squeeze().shape,a))throw new Error("the input tensors shape does not match");return e?t:t.reshape(o)});return[oa(s,r)]});case"Unpack":return qt(function(){var r=Ug("axis",t,e,n),i=Ug("tensor",t,e,n);return ua(i,r)});case"Tile":var v=Ug("reps",t,e,n);return[aa(Ug("x",t,e,n),v)];case"Split":case"SplitV":r=Ug("axis",t,e,n);var b=Ug("numOrSizeSplits",t,e,n);return Io(Ug("x",t,e,n),b,r);case"ScatterNd":a=Ug("indices",t,e,n);var w=Ug("values",t,e,n),x=Ug("shape",t,e,n);return[nl(a,w,x)];case"GatherNd":var N=Ug("x",t,e,n);return a=Ug("indices",t,e,n),[ll(N,a)];case"SparseToDense":a=Ug("sparseIndices",t,e,n),x=Ug("outputShape",t,e,n);var S=Ug("sparseValues",t,e,n),C=Ug("defaultValue",t,e,n);return[ul(a,S,x,S.dtype===C.dtype?C:C.asType(S.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Cy=function(t,e,n){switch(t.op){case"FFT":return[rl(Ug("x",t,e,n))];case"IFFT":return[il(Ug("x",t,e,n))];case"RFFT":return[ol(Ug("x",t,e,n))];case"IRFFT":return[al(Ug("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Ey=function(t,e,n){switch(t.op){case"Cast":return[Uo(Ug("x",t,e,n),Ug("dtype",t,e,n))];case"ExpandDims":var r=Ug("axis",t,e,n);return[qo(Ug("x",t,e,n),r)];case"Squeeze":return r=Ug("axis",t,e,n),[ia(Ug("x",t,e,n),r)];case"Reshape":return[na(Ug("x",t,e,n),Ug("shape",t,e,n))];case"PadV2":case"Pad":return[$o(Ug("x",t,e,n),Gg(Ug("padding",t,e,n),2),Ug("constantValue",t,e,n))];case"SpaceToBatchND":var i=Ug("blockShape",t,e,n),o=Gg(Ug("paddings",t,e,n),2);return[ra(Ug("x",t,e,n),i,o)];case"BatchToSpaceND":i=Ug("blockShape",t,e,n);var a=Gg(Ug("crops",t,e,n),2);return[Bo(Ug("x",t,e,n),i,a)];case"DepthToSpace":var s=Ug("blockSize",t,e,n),u=Ug("dataFormat",t,e,n).toUpperCase();return[jo(Ug("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function Iy(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return py(t,e,n);case"basic_math":return hy(t,e,n);case"control":return function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p,h,f,d,m,g,y,v,b,w,x,N,S,C,E,I,k,A,T,R,D,O,_,M,L,F;return Bg(this,function(z){switch(z.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,[Ug("pred",t,e,n).clone()]];case 2:return r=Ug("pred",t,e,n),i=Ug("data",t,e,n),[4,r.data()];case 3:return[2,z.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(o=t.inputNames.find(function(t){return void 0!==Wg(t,e,n)}))?[Wg(o,e,n).clone()]:void 0];case 5:return a=Ug("frameName",t,e,n),s=Ug("tensor",t,e,n),n.enterFrame(a),[2,[s.clone()]];case 6:return u=Ug("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=Ug("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=Ug("size",t,e,n),p=Ug("dtype",t,e,n),h=Ug("elementShape",t,e,n),f=Ug("dynamicSize",t,e,n),d=Ug("clearAfterRead",t,e,n),m=Ug("identicalElementShapes",t,e,n),g=Ug("name",t,e,n),y=new fy(g,p,c,h,m,f,d),n.addTensorArray(y),[2,[Re(y.id),Re(1)]];case 9:return v=Ug("tensorArrayId",t,e,n),b=Ug("index",t,e,n),w=Ug("tensor",t,e,n),n.getTensorArray(v).write(b,w),[2,[Re(1)]];case 10:return x=Ug("tensorArrayId",t,e,n),N=Ug("index",t,e,n),[2,[n.getTensorArray(x).read(N)]];case 11:return S=Ug("tensorArrayId",t,e,n),C=Ug("indices",t,e,n),E=Ug("dtype",t,e,n),[2,[n.getTensorArray(S).gather(C,E)]];case 12:return I=Ug("tensorArrayId",t,e,n),k=Ug("indices",t,e,n),A=Ug("tensor",t,e,n),n.getTensorArray(I).scatter(k,A),[2,[Re(1)]];case 13:return T=Ug("tensorArrayId",t,e,n),R=n.getTensorArray(T),D=Ug("dtype",t,e,n),[2,[R.concat(D)]];case 14:return O=Ug("tensorArrayId",t,e,n),_=Ug("tensor",t,e,n),M=Ug("lengths",t,e,n),n.getTensorArray(O).split(M,_),[2,[Re(1)]];case 15:return L=Ug("tensorArrayId",t,e,n),[2,[Re(n.getTensorArray(L).size(),"int32")]];case 16:return F=Ug("tensorArrayId",t,e,n),n.getTensorArray(F).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"convolution":return dy(t,e,n);case"creation":return my(t,e,n);case"dynamic":return function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s;return Bg(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[3,7];case 1:return r=Ug("boxes",t,e,n),i=Ug("scores",t,e,n),o=Ug("maxOutputSize",t,e,n),a=Ug("iouThreshold",t,e,n),s=Ug("scoreThreshold",t,e,n),[4,Rl.nonMaxSuppressionAsync(r,i,o,a,s)];case 2:return[2,[u.sent()]];case 3:return[4,Pu(Ug("condition",t,e,n))];case 4:return[2,[u.sent()]];case 5:return[4,la(Ug("x",t,e,n),Ug("y",t,e,n))];case 6:return[2,u.sent()];case 7:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"evaluation":return gy(t,e,n);case"image":return vy(t,e,n);case"graph":return yy(t,e,n);case"logical":return by(t,e,n);case"matrices":return wy(t,e,n);case"normalization":return xy(t,e,n);case"reduction":return Ny(t,e,n);case"slice_join":return Sy(t,e,n);case"spectral":return Cy(t,e,n);case"transformation":return Ey(t,e,n);default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n);return r instanceof Promise?r.then(function(t){return[].concat(t)}):[].concat(r)}var ky=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}(),Ay=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=t.placeholders,this._outputs=t.outputs,this.compile()}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}),Object.defineProperty(t.prototype,"isControlFlowModel",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"isDynamicShapeModel",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),t.prototype.compile=function(t){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var e=[],n=t||this.graph.placeholders,r=n.map(function(t){return t.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var i=n.concat(this.graph.weights),o={};i.length>0;){var a=i.pop();o[a.name]=!0,e.push(a),a.children.forEach(function(t){!o[t.name]&&t.inputNames.every(function(t){var e=Vg(t)[0];return o[e]})&&i.push(t)})}this.compiledMap.set(r,e)}}},t.prototype.execute=function(t,e,n){var r=this;void 0===e&&(e=!0);var i=Object.keys(t).sort();this.checkInput(t,e),this.checkInputShapeAndType(t,e),this.compile(i.map(function(t){return r.graph.nodes[t]}));var o=this.calculateOutputs(n);this.checkOutput(this.compiledMap.get(i.join(this.SEPERATOR)),o);var a={};return qt(function(){for(var e=new ky(r._weightMap,a),n=zg({},r.weightMap,t),s=r.getFrozenTensorIds(n),u={},l=r.compiledMap.get(i.join(r.SEPERATOR)),c=0;c<l.length;c++){var p=l[c];if(n[p.name]||(n[p.name]=Iy(p,n,e),r.checkTensorForDisposal(p.name,p,n,e,s,o,u)),o.every(function(t){return!!n[t]}))break}return r.findOutputs(n,e,o)})},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,i,o,a){"control"!==e.category&&-1===o.indexOf(t)&&(n[t].forEach(function(t){null!=t&&(a[t.id]=(a[t.id]||0)+e.children.length)}),e.inputs.forEach(function(t){if("control"!==t.category){var e=function(t,e,n){return e[jg(t,n.currentContextId)]}(t.name,n,r);null!=e&&e.forEach(function(t){if(t&&!i.has(t.id)){var e=a[t.id];1===e?(t.dispose(),delete a[t.id]):null!=e&&a[t.id]--}})}}))},t.prototype.executeAsync=function(t,e){return Pg(this,void 0,void 0,function(){var n,r,i,o,a,s,u,l,c=this;return Bg(this,function(p){switch(p.label){case 0:return this.checkInput(t,!1),this.checkInputShapeAndType(t,!1),n={},r=new ky(this._weightMap,n),i=this.calculateOutputs(e),[4,this.executeWithControlFlow(t,r,i)];case 1:return o=p.sent(),a=this.findOutputs(o,r,e),s=Object.keys(a).map(function(t){return a[t].id}),u=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})}),l=[].concat.apply([],u),Object.keys(o).forEach(function(t){o[t].forEach(function(t){t&&!t.isDisposed&&-1===s.indexOf(t.id)&&-1===l.indexOf(t.id)&&-1===c.weightIds.indexOf(t.id)&&t.dispose()})}),[2,a]}})})},t.prototype.executeWithControlFlow=function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p=this;return Bg(this,function(h){switch(h.label){case 0:r=Object.keys(t),i=r.map(function(t){return p.graph.nodes[t]}),o=i.concat(this.graph.weights).map(function(t){return{node:t,contexts:e.currentContext}}),a=zg({},this.weightMap,t),s={},u=this.getFrozenTensorIds(a),l={},h.label=1;case 1:return o.length>0?(c=this.processStack(i,o,e,a,l,u,n,s),[4,Promise.all(c)]):[3,3];case 2:return h.sent(),[3,1];case 3:return[2,a]}})})},t.prototype.processStack=function(t,e,n,r,i,o,a,s){for(var u=this,l=[],c=function(){var c=e.pop();n.currentContext=c.contexts;var h="";if("Enter"===c.node.op&&Ug("isConstant",c.node,r,n)&&(h=Vg(c.node.name,n)[0]),-1===t.indexOf(c.node)){var f=Iy(c.node,r,n);h||(h=Vg(c.node.name,n)[0]);var d=n.currentContext;f instanceof Promise?l.push(f.then(function(t){return r[h]=t,n.currentContext=d,u.checkTensorForDisposal(h,c.node,r,n,o,a,s),u.processChildNodes(c.node,e,n,r,i),t})):(r[h]=f,p.checkTensorForDisposal(h,c.node,r,n,o,a,s),p.processChildNodes(c.node,e,n,r,i))}else p.processChildNodes(c.node,e,n,r,i)},p=this;e.length>0;)c();return l},t.prototype.processChildNodes=function(t,e,n,r,i){t.children.forEach(function(t){var o=Vg(t.name,n)[0];i[o]||("Merge"===t.op?t.inputNames.some(function(t){return!!Wg(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})):t.inputNames.every(function(t){return!!Wg(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})))})},t.prototype.calculateOutputs=function(t){return!t||t instanceof Array||(t=[t]),t||this.graph.outputs.map(function(t){return t.name})},t.prototype.findOutputs=function(t,e,n){return this.calculateOutputs(n).reduce(function(n,r){return n[r]=Wg(r,t,e),n},{})},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,e){void 0===e&&(e=!0),this.placeholders.forEach(function(n){var r=t[n.name];if(e||r){var i=r[0];if(n.attrParams.shape&&n.attrParams.shape.value){var o=n.attrParams.shape.value,a=o.length===i.shape.length&&i.shape.every(function(t,e){return-1===o[e]||o[e]===t});X.assert(a,function(){return"The shape of dict['"+n.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+i.shape+"]"})}n.attrParams.dtype&&n.attrParams.dtype.value&&X.assert(i.dtype===n.attrParams.dtype.value,function(){return"The dtype of dict['"+n.name+"'] provided in model.execute(dict) must be "+n.attrParams.dtype.value+", but was "+i.dtype})}})},t.prototype.checkInput=function(t,e){var n=this;void 0===e&&(e=!0);var r=Object.keys(t),i=[],o=[];this.inputNodes.forEach(function(t){-1===r.indexOf(t)&&i.push(t)}),r.forEach(function(t){-1===n.inputNodes.indexOf(t)&&o.push(t)});var a=o.filter(function(t){return!n.graph.nodes[t]});if(i.length>0&&e)throw new Error("The dict provided in model.execute(dict) has the keys ["+r+"], but is missing the required keys: ["+i+"].");if(o.length>0&&e)throw new Error("The dict provided in model.execute(dict) has unused keys: ["+o+"]. Please provide only the following keys: ["+this.inputNodes+"].");if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] not part of model graph.")},t.prototype.checkOutput=function(t,e){var n=t.map(function(t){return t.name}),r=[];if(e.forEach(function(t){var e=qg(t)[0];-1===n.indexOf(e)&&r.push(e)}),r.length>0)throw new Error("The following outputs are not generated by the execution: ["+r+"].")},t}(),Ty="?tfjs-format=file",Ry="model.json",Dy=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=Ac.browserHTTPRequest(t,this.loadOptions);else{var e=Ac.getLoadHandlers(t,this.loadOptions.onProgress);if(0===e.length)e.push(Ac.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 Pg(this,void 0,void 0,function(){var t,e,n;return Bg(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=Ac.decodeWeights(t.weightData,t.weightSpecs),this.executor=new Ay(cy.Instance.transformGraph(e)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),[2,!0]}})})},t.prototype.predict=function(t,e){return this.execute_(t,!0,this.outputNodes)},t.prototype.constructTensorMap=function(t){var e=t instanceof ut?[t]:t;if(e.length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,n,r){return t[n]=e[r],t},{})},t.prototype.execute=function(t,e){return this.execute_(t,!1,e)},t.prototype.execute_=function(t,e,n){if(void 0===e&&(e=!0),n=n||this.outputNodes,(t instanceof ut||Array.isArray(t))&&(t=this.constructTensorMap(t)),this.executor.isControlFlowModel||this.executor.isDynamicShapeModel)throw new Error("The model contains control flow or dynamic shape ops, please use executeAsync method");var r=this.executor.execute(this.convertTensorMapToTensorsMap(t),e,n),i=Object.keys(r);return Array.isArray(n)&&n.length>1?n.map(function(t){return r[t]}):r[i[0]]},t.prototype.executeAsync=function(t,e){return Pg(this,void 0,void 0,function(){var n,r;return Bg(this,function(i){switch(i.label){case 0:if(!this.executor.isControlFlowModel&&!this.executor.isDynamicShapeModel)throw new Error("The model does not contain control flow or dynamic shape ops, please use execute method for better performance.");return e=e||this.outputNodes,(t instanceof ut||Array.isArray(t))&&(t=this.constructTensorMap(t)),[4,this.executor.executeAsync(this.convertTensorMapToTensorsMap(t),e)];case 1:return n=i.sent(),r=Object.keys(n),[2,Array.isArray(e)&&e.length>1?e.map(function(t){return n[t]}):n[r[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 Oy=function(t,e){return(Oy=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 _y(t,e){function n(){this.constructor=t}Oy(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}function My(t,e,n,r){return new(n||(n=Promise))(function(i,o){function a(t){try{u(r.next(t))}catch(t){o(t)}}function s(t){try{u(r.throw(t))}catch(t){o(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(a,s)}u((r=r.apply(t,e||[])).next())})}function Ly(t,e){var n,r,i,o,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&o[0]?r.return:o[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,o[1])).done)return i;switch(r=0,i&&(o=[2&o[0],i.value]),o[0]){case 0:case 1:i=o;break;case 4:return a.label++,{value:o[1],done:!1};case 5:a.label++,r=o[1],o=[0];continue;case 7:o=a.ops.pop(),a.trys.pop();continue;default:if(!(i=(i=a.trys).length>0&&i[i.length-1])&&(6===o[0]||2===o[0])){a=0;continue}if(3===o[0]&&(!i||o[1]>i[0]&&o[1]<i[3])){a.label=o[1];break}if(6===o[0]&&a.label<i[1]){a.label=i[1],i=o;break}if(i&&a.label<i[2]){a.label=i[2],a.ops.push(o);break}i[2]&&a.ops.pop(),a.trys.pop();continue}o=e.call(t,a)}catch(t){o=[6,t],r=0}finally{n=i=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}}var Fy="undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};function zy(t){return t&&t.__esModule&&Object.prototype.hasOwnProperty.call(t,"default")?t.default:t}function Py(t,e){return t(e={exports:{}},e.exports),e.exports}var By=Py(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 i(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),i=e&&e.state,o=n.next;return o.int32=function(){return 4294967296*n.next()|0},o.double=function(){return o()+1.1102230246251565e-16*(2097152*o()|0)},o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.alea=i}(0,t)}),Uy=Py(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 i(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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xor128=i}(0,t)}),Wy=Py(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 i(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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xorwow=i}(0,t)}),Vy=Py(function(t){!function(t,e,n){function r(t,e){return e.x=t.x.slice(),e.i=t.i,e}function i(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.x,i=e.i;return t=r[i],n=(t^=t>>>7)^t<<24,n^=(t=r[i+1&7])^t>>>10,n^=(t=r[i+3&7])^t>>>3,n^=(t=r[i+4&7])^t<<7,t=r[i+7&7],n^=(t^=t<<13)^t<<9,r[i]=n,e.i=i+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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&(i.x&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xorshift7=i}(0,t)}),jy=Py(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 i(t,e){null==t&&(t=+new Date);var n=new function(t){var e=this;e.next=function(){var t,n,r=e.w,i=e.X,o=e.i;return e.w=r=r+1640531527|0,n=i[o+34&127],t=i[o=o+1&127],n^=n<<13,t^=t<<17,n^=n>>>15,t^=t>>>12,n=i[o]=n^t,e.i=o,n+(r^r>>>16)|0},function(t,e){var n,r,i,o,a,s=[],u=128;for(e===(0|e)?(r=e,e=null):(e+="\0",r=0,u=Math.max(u,e.length)),i=0,o=-32;o<u;++o)e&&(r^=e.charCodeAt((o+32)%e.length)),0===o&&(a=r),r^=r<<10,r^=r>>>15,r^=r<<4,r^=r>>>13,o>=0&&(a=a+1640531527|0,i=0==(n=s[127&o]^=r+a)?i+1:0);for(i>=128&&(s[127&(e&&e.length||0)]=-1),i=127,o=512;o>0;--o)r=s[i+34&127],n=s[i=i+1&127],r^=r<<13,n^=n<<17,r^=r>>>15,n^=n>>>12,s[i]=r^n;t.w=a,t.X=s,t.i=i}(e,t)}(t),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&(i.X&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.xor4096=i}(0,t)}),qy=Py(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 i(t,e){var n=new function(t){var e=this,n="";e.next=function(){var t=e.b,n=e.c,r=e.d,i=e.a;return t=t<<25^t>>>7^n,n=n-r|0,r=r<<24^r>>>8^i,i=i-t|0,e.b=t=t<<20^t>>>12^n,e.c=n=n-r|0,e.d=r<<16^n>>>16^i,e.a=i-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),i=e&&e.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var t=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===t);return t},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&r(i,n),o.state=function(){return r(n,{})}),o}e&&e.exports?e.exports=i:this.tychei=i}(0,t)}),Gy=Py(function(t){!function(e,n){var r,i=(0,eval)("this"),o=256,a=6,s="random",u=n.pow(o,a),l=n.pow(2,52),c=2*l,p=o-1;function h(t,h,g){var y=[],v=d(function t(e,n){var r,i=[],o=typeof e;if(n&&"object"==o)for(r in e)try{i.push(t(e[r],n-1))}catch(t){}return i.length?i:"string"==o?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(o):(t=new Uint8Array(o),(i.crypto||i.msCrypto).getRandomValues(t)),m(t)}catch(t){var n=i.navigator,a=n&&n.plugins;return[+new Date,i,a,i.screen,m(e)]}}():t,3),y),b=new function(t){var e,n=t.length,r=this,i=0,a=r.i=r.j=0,s=r.S=[];for(n||(t=[n++]);i<o;)s[i]=i++;for(i=0;i<o;i++)s[i]=s[a=p&a+t[i%n]+(e=s[i])],s[a]=e;(r.g=function(t){for(var e,n=0,i=r.i,a=r.j,s=r.S;t--;)e=s[i=p&i+1],n=n*o+s[p&(s[i]=s[a=p&a+e])+(s[a]=e)];return r.i=i,r.j=a,n})(o)}(y),w=function(){for(var t=b.g(a),e=u,n=0;t<l;)t=(t+n)*o,e*=o,n=b.g(1);for(;t>=c;)t/=2,e/=2,n>>>=1;return(t+n)/e};return w.int32=function(){return 0|b.g(4)},w.quick=function(){return b.g(4)/4294967296},w.double=w,d(m(b.S),e),(h.pass||g||function(t,e,r,i){return i&&(i.S&&f(i,b),t.state=function(){return f(b,{})}),r?(n[s]=t,e):t})(w,v,"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+"",i=0;i<r.length;)e[p&i]=p&(n^=19*e[p&i])+r.charCodeAt(i++);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)});Gy.alea=By,Gy.xor128=Uy,Gy.xorwow=Wy,Gy.xorshift7=Vy,Gy.xor4096=jy,Gy.tychei=qy;var Hy=Gy.alea,Ky=Py(function(t,e){function n(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 r(t,e){if(!t)throw new Error("string"==typeof e?e:e())}function i(t,e){if(void 0===e&&(e=[]),null==e&&(e=[]),Array.isArray(t)||l(t))for(var n=0;n<t.length;++n)i(t[n],e);else e.push(t);return e}function o(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 a(t){return t%1==0}function s(t,e){var n=e.length;return r((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}),r(t.every(function(t){return a(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 u(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 l(t){return t instanceof Float32Array||t instanceof Int32Array||t instanceof Uint8Array}function c(t){return"string"==typeof t||t instanceof String}function p(t){return"boolean"==typeof t}function h(t){return"number"==typeof t}function f(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)}Object.defineProperty(e,"__esModule",{value:!0}),e.shuffle=n,e.clamp=function(t,e,n){return Math.max(t,Math.min(e,n))},e.nearestLargerEven=function(t){return t%2==0?t:t+1},e.sum=function(t){for(var e=0,n=0;n<t.length;n++)e+=t[n];return e},e.randUniform=function(t,e){var n=Math.random();return e*n+(1-n)*t},e.distSquared=function(t,e){for(var n=0,r=0;r<t.length;r++){var i=Number(t[r])-Number(e[r]);n+=i*i}return n},e.assert=r,e.assertShapesMatch=function(t,e,n){void 0===n&&(n=""),r(o(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})},e.assertNonNull=function(t){r(null!=t,function(){return"The input to the tensor constructor must be a non-null value."})},e.flatten=i,e.sizeFromShape=function(t){if(0===t.length)return 1;for(var e=t[0],n=1;n<t.length;n++)e*=t[n];return e},e.isScalarShape=function(t){return 0===t.length},e.arraysEqual=o,e.isInt=a,e.tanh=function(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)},e.sizeToSquarishShape=function(t){var e=Math.ceil(Math.sqrt(t));return[e,Math.ceil(t/e)]},e.createShuffledIndices=function(t){for(var e=new Uint32Array(t),r=0;r<t;++r)e[r]=r;return n(e),e},e.rightPad=function(t,e){return e<=t.length?t:t+" ".repeat(e-t.length)},e.repeatedTry=function(t,e,n){return void 0===e&&(e=function(t){return 0}),new Promise(function(r,i){var o=0,a=function(){if(t())r();else{var s=e(++o);null!=n&&o>=n?i():setTimeout(a,s)}};a()})},e.inferFromImplicitShape=function(t,e){for(var n=1,r=-1,i=0;i<t.length;++i)if(t[i]>=0)n*=t[i];else if(-1===t[i]){if(-1!==r)throw Error("Shapes can only have 1 implicit size. Found -1 at dim "+r+" and dim "+i);r=i}else if(t[i]<0)throw Error("Shapes can not be < 0. Found "+t[i]+" at dim "+i);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 o=t.slice();return o[r]=e/n,o},e.parseAxisParam=s,e.squeezeShape=function(t,e){for(var n=[],r=[],i=null==e?null:s(e,t).sort(),o=0,a=0;a<t.length;++a){if(null!=i){if(i[o]===a&&1!==t[a])throw new Error("Can't squeeze axis "+a+" since its dim '"+t[a]+"' is not 1");(null==i[o]||i[o]>a)&&1===t[a]&&(n.push(t[a]),r.push(a)),i[o]<=a&&o++}1!==t[a]&&(n.push(t[a]),r.push(a))}return{newShape:n,keptDims:r}},e.getTypedArrayFromDType=function(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},e.getArrayFromDType=function(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},e.checkComputationForErrors=function(t,e,n){if("float32"===e)for(var r=0;r<t.length;r++){var i=t[r];if(isNaN(i)||!isFinite(i))throw Error("The result of the '"+n+"' is "+i+".")}},e.checkConversionForErrors=u,e.hasEncodingLoss=function(t,e){return!("complex64"===e||"float32"===e&&"complex64"!==t||"int32"===e&&"float32"!==t&&"complex64"!==t||"bool"===e&&"bool"===t)},e.isTypedArray=l,e.bytesPerElement=function(t){if("float32"===t||"int32"===t)return 4;if("complex64"===t)return 8;if("bool"===t)return 1;throw new Error("Unknown dtype "+t)},e.bytesFromStringArray=function(t){if(null==t)return 0;var e=0;return t.forEach(function(t){return e+=2*t.length}),e},e.isString=c,e.isBoolean=p,e.isNumber=h,e.inferDtype=function t(e){return Array.isArray(e)?t(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array?"int32":h(e)?"float32":c(e)?"string":p(e)?"bool":"float32"},e.isFunction=function(t){return!!(t&&t.constructor&&t.call&&t.apply)},e.nearestDivisor=function(t,e){for(var n=e;n<t;++n)if(t%n==0)return n;return t},e.computeStrides=function(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},e.toTypedArray=function(t,e,n){if("string"===e)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(t)&&(t=i(t)),n&&u(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),o=0;o<r.length;++o)0!==Math.round(t[o])&&(r[o]=1);return r}throw new Error("Unknown data type "+e)},e.toNestedArray=function(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 i=new Array;if(1===n.length)for(var o=n[0],a=0;a<o;a++)i[a]=r[e+a];else{o=n[0];var s=n.slice(1),u=s.reduce(function(t,e){return t*e});for(a=0;a<o;a++)i[a]=t(e+a*u,s,r)}return i}(0,t,e)},e.makeOnesTypedArray=function(t,e){for(var n=f(t,e),r=0;r<n.length;r++)n[r]=1;return n},e.makeZerosTypedArray=f,e.now=function(){if("undefined"!=typeof performance)return performance.now();if("undefined"!=typeof process){var t=process.hrtime();return 1e3*t[0]+t[1]/1e6}throw new Error("Cannot measure time in this environment. You should run tf.js in the browser or in Node.js")},e.assertNonNegativeIntegerDimensions=function(t){t.forEach(function(e){r(Number.isInteger(e)&&e>=0,function(){return"Tensor must have a shape comprised of positive integers but got shape ["+t+"]."})})}});zy(Ky);Ky.shuffle,Ky.clamp,Ky.nearestLargerEven,Ky.sum,Ky.randUniform,Ky.distSquared,Ky.assert,Ky.assertShapesMatch,Ky.assertNonNull,Ky.flatten,Ky.sizeFromShape,Ky.isScalarShape,Ky.arraysEqual,Ky.isInt,Ky.tanh,Ky.sizeToSquarishShape,Ky.createShuffledIndices,Ky.rightPad,Ky.repeatedTry,Ky.inferFromImplicitShape,Ky.parseAxisParam,Ky.squeezeShape,Ky.getTypedArrayFromDType,Ky.getArrayFromDType,Ky.checkComputationForErrors,Ky.checkConversionForErrors,Ky.hasEncodingLoss;var $y=Ky.isTypedArray,Xy=(Ky.bytesPerElement,Ky.bytesFromStringArray,Ky.isString,Ky.isBoolean,Ky.isNumber,Ky.inferDtype,Ky.isFunction,Ky.nearestDivisor,Ky.computeStrides,Ky.toTypedArray,Ky.toNestedArray,Ky.makeOnesTypedArray,Ky.makeZerosTypedArray,Ky.now,Ky.assertNonNegativeIntegerDimensions,Py(function(t,e){Object.defineProperty(e,"__esModule",{value:!0});var n=7;function r(t,e){var r;return r=Array.isArray(t)?parseFloat(t[0].toFixed(n))+" + "+parseFloat(t[1].toFixed(n))+"j":Ky.isString(t)?"'"+t+"'":parseFloat(t.toFixed(n)).toString(),Ky.rightPad(r,e)}function i(t){for(var e=[],n=0;n<t.length;n+=2)e.push([t[n],t[n+1]]);return e}e.tensorToString=function(t,e,n,o){var a=Ky.computeStrides(e),s=function(t,e,n,o){var a=Ky.sizeFromShape(e),s=o[o.length-1],u=new Array(s).fill(0),l=e.length,c="complex64"===n?i(t):t;if(l>1)for(var p=0;p<a/s;p++)for(var h=p*s,f=0;f<s;f++)u[f]=Math.max(u[f],r(c[h+f],0).length);return u}(t,e,n,a),u=e.length,l=function t(e,n,o,a,s,u){void 0===u&&(u=!0);var l="complex64"===o?2:1,c=n[0],p=n.length;if(0===p)return"complex64"===o?[r(i(e)[0],0)]:[e[0].toString()];if(1===p){if(c>20){var h=3*l,f=Array.from(e.slice(0,h)),d=Array.from(e.slice(c-3*l,c));return"complex64"===o&&(f=i(f),d=i(d)),["["+f.map(function(t,e){return r(t,s[e])}).join(", ")+", ..., "+d.map(function(t,e){return r(t,s[c-3+e])}).join(", ")+"]"]}return["["+("complex64"===o?i(e):Array.from(e)).map(function(t,e){return r(t,s[e])}).join(", ")+"]"]}var m=n.slice(1),g=a.slice(1),y=a[0]*l,v=[];if(c>20){for(var b=0;b<3;b++){var w=(x=b*y)+y;v.push.apply(v,t(e.slice(x,w),m,o,g,s,!1))}v.push("...");for(b=c-3;b<c;b++){w=(x=b*y)+y;v.push.apply(v,t(e.slice(x,w),m,o,g,s,b===c-1))}}else for(b=0;b<c;b++){var x;w=(x=b*y)+y;v.push.apply(v,t(e.slice(x,w),m,o,g,s,b===c-1))}var N=2===p?",":"";v[0]="["+v[0]+N;for(b=1;b<v.length-1;b++)v[b]=" "+v[b]+N;var S=",\n";for(b=2;b<p;b++)S+="\n";return v[v.length-1]=" "+v[v.length-1]+"]"+(u?"":S),v}(t,e,n,a,s),c=["Tensor"];return o&&(c.push("  dtype: "+n),c.push("  rank: "+u),c.push("  shape: ["+e+"]"),c.push("  values:")),c.push(l.map(function(t){return"    "+t}).join("\n")),c.join("\n")}}));zy(Xy);Xy.tensorToString;var Yy=Py(function(t,e){var n,r=Fy&&Fy.__extends||(n=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])},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),i=Fy&&Fy.__awaiter||function(t,e,n,r){return new(n||(n=Promise))(function(i,o){function a(t){try{u(r.next(t))}catch(t){o(t)}}function s(t){try{u(r.throw(t))}catch(t){o(t)}}function u(t){t.done?i(t.value):new n(function(e){e(t.value)}).then(a,s)}u((r=r.apply(t,e||[])).next())})},o=Fy&&Fy.__generator||function(t,e){var n,r,i,o,a={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;a;)try{if(n=1,r&&(i=2&o[0]?r.return:o[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,o[1])).done)return i;switch(r=0,i&&(o=[2&o[0],i.value]),o[0]){case 0:case 1:i=o;break;case 4:return a.label++,{value:o[1],done:!1};case 5:a.label++,r=o[1],o=[0];continue;case 7:o=a.ops.pop(),a.trys.pop();continue;default:if(!(i=(i=a.trys).length>0&&i[i.length-1])&&(6===o[0]||2===o[0])){a=0;continue}if(3===o[0]&&(!i||o[1]>i[0]&&o[1]<i[3])){a.label=o[1];break}if(6===o[0]&&a.label<i[1]){a.label=i[1],i=o;break}if(i&&a.label<i[2]){a.label=i[2],a.ops.push(o);break}i[2]&&a.ops.pop(),a.trys.pop();continue}o=e.call(t,a)}catch(t){o=[6,t],r=0}finally{n=i=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}};Object.defineProperty(e,"__esModule",{value:!0});var a=Ky,s=function(){function t(t,e,n){var r=this;if(this.dtype=e,this.shape=t.slice(),this.size=Ky.sizeFromShape(t),null!=n){var i=n.length;Ky.assert(i===this.size,function(){return"Length of values '"+i+"' 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||Ky.getArrayFromDType(e,Ky.sizeFromShape(this.shape)),this.strides=a.computeStrides(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]),Ky.assert(n.length===this.rank,function(){return"The number of provided coordinates ("+n.length+") must match the rank ("+e.rank+")"});var i=this.locToIndex(n);this.values[i]=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=t[t.length-1],r=0;r<t.length-1;++r)n+=this.strides[r]*t[r];return this.values[n]},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 p.make(this.shape,{values:this.values},this.dtype)},t}();e.TensorBuffer=s;var u=null,l=null,c=null;e.setTensorTracker=function(t){u=t},e.setOpHandler=function(t){l=t},e.setDeprecationWarningFn=function(t){c=t};var p=function(){function t(t,e,n,r,i){this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=Ky.sizeFromShape(t),this.strides=a.computeStrides(t),this.dataId=null!=r?r:{},this.id=u().nextTensorId(),this.rankType=this.rank<5?this.rank.toString():"higher",u().registerTensor(this,i),null!=n&&u().write(this.dataId,n)}return t.make=function(e,n,r,i){return new t(e,r,n.values,n.dataId,i)},t.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},t.prototype.asScalar=function(){return this.throwIfDisposed(),Ky.assert(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,i){return this.throwIfDisposed(),this.reshape([t,e,n,r,i])},t.prototype.asType=function(t){return this.throwIfDisposed(),l.cast(this,t)},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.buffer=function(){return i(this,void 0,void 0,function(){var t;return o(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,l.buffer(this.shape,this.dtype,t)]}})})},t.prototype.bufferSync=function(){return l.buffer(this.shape,this.dtype,this.dataSync())},t.prototype.array=function(){return i(this,void 0,void 0,function(){var t;return o(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,a.toNestedArray(this.shape,t)]}})})},t.prototype.arraySync=function(){return a.toNestedArray(this.shape,this.dataSync())},t.prototype.data=function(){return i(this,void 0,void 0,function(){return o(this,function(t){return this.throwIfDisposed(),[2,u().read(this.dataId)]})})},t.prototype.dataSync=function(){return this.throwIfDisposed(),u().readSync(this.dataId)},t.prototype.dispose=function(){this.isDisposed||(u().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),l.print(this,t)},t.prototype.reshape=function(t){return this.throwIfDisposed(),l.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),l.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),l.cumsum(this,t,e,n)},t.prototype.squeeze=function(t){return this.throwIfDisposed(),l.squeeze(this,t)},t.prototype.clone=function(){return this.throwIfDisposed(),l.clone(this)},t.prototype.oneHot=function(t,e,n){return this.throwIfDisposed(),l.oneHot(this,t,e,n)},t.prototype.toString=function(t){void 0===t&&(t=!1);var e=this.dataSync();return Xy.tensorToString(e,this.shape,this.dtype,t)},t.prototype.tile=function(t){return this.throwIfDisposed(),l.tile(this,t)},t.prototype.gather=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),l.gather(this,t,e)},t.prototype.matMul=function(t,e,n){return void 0===e&&(e=!1),void 0===n&&(n=!1),this.throwIfDisposed(),l.matMul(this,t,e,n)},t.prototype.dot=function(t){return this.throwIfDisposed(),l.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(),l.norm(this,t,e,n)},t.prototype.slice=function(t,e){return this.throwIfDisposed(),l.slice(this,t,e)},t.prototype.reverse=function(t){return this.throwIfDisposed(),l.reverse(this,t)},t.prototype.concat=function(e,n){return void 0===n&&(n=0),this.throwIfDisposed(),e instanceof t&&(e=[e]),l.concat([this].concat(e),n)},t.prototype.split=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),l.split(this,t,e)},t.prototype.stack=function(t,e){return void 0===e&&(e=0),l.stack([this,t],e)},t.prototype.unstack=function(t){return void 0===t&&(t=0),l.unstack(this,t)},t.prototype.pad=function(t,e){return void 0===e&&(e=0),l.pad(this,t,e)},t.prototype.batchNormalization=function(t,e,n,r,i){return void 0===n&&(n=.001),c("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon"),this.batchNorm(t,e,i,r,n)},t.prototype.batchNorm=function(t,e,n,r,i){return void 0===i&&(i=.001),this.throwIfDisposed(),l.batchNorm(this,t,e,n,r,i)},t.prototype.all=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.all(this,t,e)},t.prototype.any=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.any(this,t,e)},t.prototype.logSumExp=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.logSumExp(this,t,e)},t.prototype.sum=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.sum(this,t,e)},t.prototype.prod=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.prod(this,t,e)},t.prototype.mean=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.mean(this,t,e)},t.prototype.min=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.min(this,t,e)},t.prototype.max=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),l.max(this,t,e)},t.prototype.argMin=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),l.argMin(this,t)},t.prototype.argMax=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),l.argMax(this,t)},t.prototype.cast=function(t){return this.throwIfDisposed(),l.cast(this,t)},t.prototype.add=function(t){return this.throwIfDisposed(),l.add(this,t)},t.prototype.addStrict=function(t){return this.throwIfDisposed(),l.addStrict(this,t)},t.prototype.atan2=function(t){return this.throwIfDisposed(),l.atan2(this,t)},t.prototype.sub=function(t){return this.throwIfDisposed(),l.sub(this,t)},t.prototype.subStrict=function(t){return this.throwIfDisposed(),l.subStrict(this,t)},t.prototype.pow=function(t){return this.throwIfDisposed(),l.pow(this,t)},t.prototype.powStrict=function(t){return this.throwIfDisposed(),l.powStrict(this,t)},t.prototype.mul=function(t){return this.throwIfDisposed(),l.mul(this,t)},t.prototype.mulStrict=function(t){return this.throwIfDisposed(),l.mulStrict(this,t)},t.prototype.div=function(t){return this.throwIfDisposed(),l.div(this,t)},t.prototype.floorDiv=function(t){return this.throwIfDisposed(),l.floorDiv(this,t)},t.prototype.divStrict=function(t){return this.throwIfDisposed(),l.divStrict(this,t)},t.prototype.minimum=function(t){return this.throwIfDisposed(),l.minimum(this,t)},t.prototype.minimumStrict=function(t){return this.throwIfDisposed(),l.minimumStrict(this,t)},t.prototype.maximum=function(t){return this.throwIfDisposed(),l.maximum(this,t)},t.prototype.maximumStrict=function(t){return this.throwIfDisposed(),l.maximumStrict(this,t)},t.prototype.mod=function(t){return this.throwIfDisposed(),l.mod(this,t)},t.prototype.modStrict=function(t){return this.throwIfDisposed(),l.modStrict(this,t)},t.prototype.squaredDifference=function(t){return this.throwIfDisposed(),l.squaredDifference(this,t)},t.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),l.squaredDifferenceStrict(this,t)},t.prototype.transpose=function(t){return this.throwIfDisposed(),l.transpose(this,t)},t.prototype.notEqual=function(t){return this.throwIfDisposed(),l.notEqual(this,t)},t.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),l.notEqualStrict(this,t)},t.prototype.less=function(t){return this.throwIfDisposed(),l.less(this,t)},t.prototype.lessStrict=function(t){return this.throwIfDisposed(),l.lessStrict(this,t)},t.prototype.equal=function(t){return this.throwIfDisposed(),l.equal(this,t)},t.prototype.equalStrict=function(t){return this.throwIfDisposed(),l.equalStrict(this,t)},t.prototype.lessEqual=function(t){return this.throwIfDisposed(),l.lessEqual(this,t)},t.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),l.lessEqualStrict(this,t)},t.prototype.greater=function(t){return this.throwIfDisposed(),l.greater(this,t)},t.prototype.greaterStrict=function(t){return this.throwIfDisposed(),l.greaterStrict(this,t)},t.prototype.greaterEqual=function(t){return this.throwIfDisposed(),l.greaterEqual(this,t)},t.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),l.greaterEqualStrict(this,t)},t.prototype.logicalAnd=function(t){return this.throwIfDisposed(),l.logicalAnd(this,t)},t.prototype.logicalOr=function(t){return this.throwIfDisposed(),l.logicalOr(this,t)},t.prototype.logicalNot=function(){return this.throwIfDisposed(),l.logicalNot(this)},t.prototype.logicalXor=function(t){return this.throwIfDisposed(),l.logicalXor(this,t)},t.prototype.where=function(t,e){return this.throwIfDisposed(),l.where(t,this,e)},t.prototype.neg=function(){return this.throwIfDisposed(),l.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),l.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),l.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),l.sign(this)},t.prototype.exp=function(){return this.throwIfDisposed(),l.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),l.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),l.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),l.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),l.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),l.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),l.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),l.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),l.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),l.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),l.relu(this)},t.prototype.elu=function(){return this.throwIfDisposed(),l.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),l.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),l.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),l.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),l.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),l.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),l.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),l.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),l.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),l.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),l.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),l.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),l.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),l.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),l.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),l.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),l.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),l.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),l.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),l.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),l.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),l.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),l.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),l.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),l.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),l.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),l.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),l.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,i,o){return void 0===r&&(r="NWC"),void 0===i&&(i=1),this.throwIfDisposed(),l.conv1d(this,t,e,n,r,i,o)},t.prototype.conv2d=function(t,e,n,r,i,o){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),l.conv2d(this,t,e,n,r,i,o)},t.prototype.conv2dTranspose=function(t,e,n,r,i){return this.throwIfDisposed(),l.conv2dTranspose(this,t,e,n,r,i)},t.prototype.depthwiseConv2D=function(t,e,n,r,i,o){return void 0===r&&(r="NHWC"),void 0===i&&(i=[1,1]),this.throwIfDisposed(),l.depthwiseConv2d(this,t,e,n,r,i,o)},t.prototype.separableConv2d=function(t,e,n,r,i,o){return void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC"),this.throwIfDisposed(),l.separableConv2d(this,t,e,n,r,i,o)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),l.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),l.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),l.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,i){return this.throwIfDisposed(),l.pool(this,t,e,n,r,i)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),h.variable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),l.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),l.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),l.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),l.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s){return void 0===r&&(r=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===s&&(s=0),this.throwIfDisposed(),l.stridedSlice(this,t,e,n,r,i,o,a,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),l.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),l.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),l.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),l.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),l.spectral.irfft(this)},t}();e.Tensor=p,Object.defineProperty(p,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var h=function(t){function e(e,n,r){void 0===n&&(n=!0);var i=t.call(this,e.shape,e.dtype,null,e.dataId)||this;i.trainable=n,i.name=r,null==i.name&&(i.name=u().nextVariableId().toString());try{u().registerVariable(i)}catch(t){throw u().disposeTensor(i),t}return i}return r(e,t),e.variable=function(t,n,r,i){return void 0===n&&(n=!0),null!=i&&i!==t.dtype&&(t=t.asType(i)),new e(t,n,r)},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(!Ky.arraysEqual(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");u().disposeTensor(this),this.dataId=t.dataId,u().registerTensor(this)},e}(p);e.Variable=h,Object.defineProperty(h,Symbol.hasInstance,{value:function(t){return t instanceof p&&null!=t.assign&&t.assign instanceof Function}});var f=h.variable;e.variable=f});zy(Yy);Yy.TensorBuffer,Yy.setTensorTracker,Yy.setOpHandler,Yy.setDeprecationWarningFn,Yy.Tensor,Yy.Variable,Yy.variable;var Jy=Py(function(t,e){var n,r,i,o;Object.defineProperty(e,"__esModule",{value:!0}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(e.Rank||(e.Rank={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(n||(n={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(r||(r={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(i||(i={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(o||(o={}));var a={float32:i,int32:n,bool:r,complex64:o};function s(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return a[t][e]}e.upcastType=s,e.sumOutType=function(t){return s(t,"int32")}});zy(Jy);Jy.Rank,Jy.upcastType,Jy.sumOutType;var Zy=Py(function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.makeTypesMatch=function(t,e){if(t.dtype===e.dtype)return[t,e];var n=Jy.upcastType(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]},e.assertTypesMatch=function(t,e){Ky.assert(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})},e.isTensorInList=function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},e.flattenNameArrayMap=function(t,e){var n=[];if(t instanceof Yy.Tensor)n.push(t);else for(var r=t,i=0;i<e.length;i++)n.push(r[e[i]]);return n},e.unflattenToNameArrayMap=function(t,e){if(t.length!==e.length)throw new Error("Cannot unflatten Tensor[], keys and arrays are not of same length.");for(var n={},r=0;r<t.length;r++)n[t[r]]=e[r];return n},e.getTensorsInContainer=function(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof Yy.Tensor)n.push(e);else if(i=e,Array.isArray(i)||"object"==typeof i){var i,o=e;for(var a in o){var s=o[a];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}});zy(Zy);Zy.makeTypesMatch,Zy.assertTypesMatch;var Qy=Zy.isTensorInList,tv=(Zy.flattenNameArrayMap,Zy.unflattenToNameArrayMap,Zy.getTensorsInContainer),ev=function(t){return t instanceof Buffer},nv=Py(function(t){"function"==typeof Object.create?t.exports=function(t,e){t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}})}:t.exports=function(t,e){t.super_=e;var n=function(){};n.prototype=e.prototype,t.prototype=new n,t.prototype.constructor=t}}),rv=Py(function(t){try{var e=iv;if("function"!=typeof e.inherits)throw"";t.exports=e.inherits}catch(e){t.exports=nv}}),iv=Py(function(t,e){var n=Object.getOwnPropertyDescriptors||function(t){for(var e=Object.keys(t),n={},r=0;r<e.length;r++)n[e[r]]=Object.getOwnPropertyDescriptor(t,e[r]);return n},r=/%[sdj%]/g;e.format=function(t){if(!g(t)){for(var e=[],n=0;n<arguments.length;n++)e.push(a(arguments[n]));return e.join(" ")}n=1;for(var i=arguments,o=i.length,s=String(t).replace(r,function(t){if("%%"===t)return"%";if(n>=o)return t;switch(t){case"%s":return String(i[n++]);case"%d":return Number(i[n++]);case"%j":try{return JSON.stringify(i[n++])}catch(t){return"[Circular]"}default:return t}}),u=i[n];n<o;u=i[++n])d(u)||!b(u)?s+=" "+u:s+=" "+a(u);return s},e.deprecate=function(t,n){if("undefined"!=typeof process&&!0===process.noDeprecation)return t;if("undefined"==typeof process)return function(){return e.deprecate(t,n).apply(this,arguments)};var r=!1;return function(){if(!r){if(process.throwDeprecation)throw new Error(n);process.traceDeprecation?console.trace(n):console.error(n),r=!0}return t.apply(this,arguments)}};var i,o={};function a(t,n){var r={seen:[],stylize:u};return arguments.length>=3&&(r.depth=arguments[2]),arguments.length>=4&&(r.colors=arguments[3]),f(n)?r.showHidden=n:n&&e._extend(r,n),y(r.showHidden)&&(r.showHidden=!1),y(r.depth)&&(r.depth=2),y(r.colors)&&(r.colors=!1),y(r.customInspect)&&(r.customInspect=!0),r.colors&&(r.stylize=s),l(r,t,r.depth)}function s(t,e){var n=a.styles[e];return n?"["+a.colors[n][0]+"m"+t+"["+a.colors[n][1]+"m":t}function u(t,e){return t}function l(t,n,r){if(t.customInspect&&n&&N(n.inspect)&&n.inspect!==e.inspect&&(!n.constructor||n.constructor.prototype!==n)){var i=n.inspect(r,t);return g(i)||(i=l(t,i,r)),i}var o=function(t,e){if(y(e))return t.stylize("undefined","undefined");if(g(e)){var n="'"+JSON.stringify(e).replace(/^"|"$/g,"").replace(/'/g,"\\'").replace(/\\"/g,'"')+"'";return t.stylize(n,"string")}return m(e)?t.stylize(""+e,"number"):f(e)?t.stylize(""+e,"boolean"):d(e)?t.stylize("null","null"):void 0}(t,n);if(o)return o;var a=Object.keys(n),s=function(t){var e={};return a.forEach(function(t,n){e[t]=!0}),e}();if(t.showHidden&&(a=Object.getOwnPropertyNames(n)),x(n)&&(a.indexOf("message")>=0||a.indexOf("description")>=0))return c(n);if(0===a.length){if(N(n)){var u=n.name?": "+n.name:"";return t.stylize("[Function"+u+"]","special")}if(v(n))return t.stylize(RegExp.prototype.toString.call(n),"regexp");if(w(n))return t.stylize(Date.prototype.toString.call(n),"date");if(x(n))return c(n)}var b,S="",C=!1,E=["{","}"];return h(n)&&(C=!0,E=["[","]"]),N(n)&&(S=" [Function"+(n.name?": "+n.name:"")+"]"),v(n)&&(S=" "+RegExp.prototype.toString.call(n)),w(n)&&(S=" "+Date.prototype.toUTCString.call(n)),x(n)&&(S=" "+c(n)),0!==a.length||C&&0!=n.length?r<0?v(n)?t.stylize(RegExp.prototype.toString.call(n),"regexp"):t.stylize("[Object]","special"):(t.seen.push(n),b=C?function(t,e,n,r,i){for(var o=[],a=0,s=e.length;a<s;++a)I(e,String(a))?o.push(p(t,e,n,r,String(a),!0)):o.push("");return i.forEach(function(i){i.match(/^\d+$/)||o.push(p(t,e,n,r,i,!0))}),o}(t,n,r,s,a):a.map(function(e){return p(t,n,r,s,e,C)}),t.seen.pop(),function(t,e,n){return t.reduce(function(t,e){return e.indexOf("\n"),t+e.replace(/\u001b\[\d\d?m/g,"").length+1},0)>60?n[0]+(""===e?"":e+"\n ")+" "+t.join(",\n  ")+" "+n[1]:n[0]+e+" "+t.join(", ")+" "+n[1]}(b,S,E)):E[0]+S+E[1]}function c(t){return"["+Error.prototype.toString.call(t)+"]"}function p(t,e,n,r,i,o){var a,s,u;if((u=Object.getOwnPropertyDescriptor(e,i)||{value:e[i]}).get?s=u.set?t.stylize("[Getter/Setter]","special"):t.stylize("[Getter]","special"):u.set&&(s=t.stylize("[Setter]","special")),I(r,i)||(a="["+i+"]"),s||(t.seen.indexOf(u.value)<0?(s=d(n)?l(t,u.value,null):l(t,u.value,n-1)).indexOf("\n")>-1&&(s=o?s.split("\n").map(function(t){return"  "+t}).join("\n").substr(2):"\n"+s.split("\n").map(function(t){return"   "+t}).join("\n")):s=t.stylize("[Circular]","special")),y(a)){if(o&&i.match(/^\d+$/))return s;(a=JSON.stringify(""+i)).match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)?(a=a.substr(1,a.length-2),a=t.stylize(a,"name")):(a=a.replace(/'/g,"\\'").replace(/\\"/g,'"').replace(/(^"|"$)/g,"'"),a=t.stylize(a,"string"))}return a+": "+s}function h(t){return Array.isArray(t)}function f(t){return"boolean"==typeof t}function d(t){return null===t}function m(t){return"number"==typeof t}function g(t){return"string"==typeof t}function y(t){return void 0===t}function v(t){return b(t)&&"[object RegExp]"===S(t)}function b(t){return"object"==typeof t&&null!==t}function w(t){return b(t)&&"[object Date]"===S(t)}function x(t){return b(t)&&("[object Error]"===S(t)||t instanceof Error)}function N(t){return"function"==typeof t}function S(t){return Object.prototype.toString.call(t)}function C(t){return t<10?"0"+t.toString(10):t.toString(10)}e.debuglog=function(t){if(y(i)&&(i=process.env.NODE_DEBUG||""),t=t.toUpperCase(),!o[t])if(new RegExp("\\b"+t+"\\b","i").test(i)){var n=process.pid;o[t]=function(){var r=e.format.apply(e,arguments);console.error("%s %d: %s",t,n,r)}}else o[t]=function(){};return o[t]},e.inspect=a,a.colors={bold:[1,22],italic:[3,23],underline:[4,24],inverse:[7,27],white:[37,39],grey:[90,39],black:[30,39],blue:[34,39],cyan:[36,39],green:[32,39],magenta:[35,39],red:[31,39],yellow:[33,39]},a.styles={special:"cyan",number:"yellow",boolean:"yellow",undefined:"grey",null:"bold",string:"green",date:"magenta",regexp:"red"},e.isArray=h,e.isBoolean=f,e.isNull=d,e.isNullOrUndefined=function(t){return null==t},e.isNumber=m,e.isString=g,e.isSymbol=function(t){return"symbol"==typeof t},e.isUndefined=y,e.isRegExp=v,e.isObject=b,e.isDate=w,e.isError=x,e.isFunction=N,e.isPrimitive=function(t){return null===t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||"symbol"==typeof t||void 0===t},e.isBuffer=ev;var E=["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];function I(t,e){return Object.prototype.hasOwnProperty.call(t,e)}e.log=function(){var t,n;console.log("%s - %s",(n=[C((t=new Date).getHours()),C(t.getMinutes()),C(t.getSeconds())].join(":"),[t.getDate(),E[t.getMonth()],n].join(" ")),e.format.apply(e,arguments))},e.inherits=rv,e._extend=function(t,e){if(!e||!b(e))return t;for(var n=Object.keys(e),r=n.length;r--;)t[n[r]]=e[n[r]];return t};var k="undefined"!=typeof Symbol?Symbol("util.promisify.custom"):void 0;function A(t,e){if(!t){var n=new Error("Promise was rejected with a falsy value");n.reason=t,t=n}return e(t)}e.promisify=function(t){if("function"!=typeof t)throw new TypeError('The "original" argument must be of type Function');if(k&&t[k]){var e;if("function"!=typeof(e=t[k]))throw new TypeError('The "util.promisify.custom" argument must be of type Function');return Object.defineProperty(e,k,{value:e,enumerable:!1,writable:!1,configurable:!0}),e}function e(){for(var e,n,r=new Promise(function(t,r){e=t,n=r}),i=[],o=0;o<arguments.length;o++)i.push(arguments[o]);i.push(function(t,r){t?n(t):e(r)});try{t.apply(this,i)}catch(t){n(t)}return r}return Object.setPrototypeOf(e,Object.getPrototypeOf(t)),k&&Object.defineProperty(e,k,{value:e,enumerable:!1,writable:!1,configurable:!0}),Object.defineProperties(e,n(t))},e.promisify.custom=k,e.callbackify=function(t){if("function"!=typeof t)throw new TypeError('The "original" argument must be of type Function');function e(){for(var e=[],n=0;n<arguments.length;n++)e.push(arguments[n]);var r=e.pop();if("function"!=typeof r)throw new TypeError("The last argument must be of type Function");var i=this,o=function(){return r.apply(i,arguments)};t.apply(this,e).then(function(t){process.nextTick(o,null,t)},function(t){process.nextTick(A,t,o)})}return Object.setPrototypeOf(e,Object.getPrototypeOf(t)),Object.defineProperties(e,n(t)),e}}),ov=(iv.format,iv.deprecate,iv.debuglog,iv.inspect,iv.isArray,iv.isBoolean,iv.isNull,iv.isNullOrUndefined,iv.isNumber,iv.isString,iv.isSymbol,iv.isUndefined,iv.isRegExp,iv.isObject,iv.isDate,iv.isError,iv.isFunction,iv.isPrimitive);iv.isBuffer,iv.log,iv.inherits,iv._extend,iv.promisify,iv.callbackify;function av(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 i=e(t);if(i.recurse&&null!==i.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(i.recurse){if(cv(t)){var o=Array.isArray(t)?[]:{};for(var a in r.add(t),t){var s=av(t[a],e,n,r);o[a]=s}return r.delete(t),o}throw new Error("Can't recurse into non-iterable type: "+t)}return n.set(t,i.value),i.value}function sv(t,e){return void 0===e&&(e=uv),function t(e,n,r){void 0===r&&(r=new Set);var i=e[0];if(r.has(i))throw new Error("Circular references are not supported.");var o=n(e);if(o.recurse&&null!==o.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse){if(cv(i)){var a=Array.isArray(i)?[]:{};r.add(i);var s=function(i){var o=t(e.map(function(t){return t[i]}),n,r);a[i]=o};for(var u in i)s(u);return r.delete(i),a}throw new Error("Can't recurse into non-iterable type: "+i)}return o.value}(t,e)}function uv(t){return null===t?null:cv(t[0])?{value:null,recurse:!0}:{value:t,recurse:!1}}function lv(t,e){return My(this,void 0,void 0,function(){var n,r,i,o,a,s;return Ly(this,function(u){switch(u.label){case 0:n=new Map,av(t,e,n),r=0,i=Array.from(n.keys()),u.label=1;case 1:return r<i.length?(o=i[r],(a=n.get(o))instanceof Promise?[4,a]:[3,3]):[3,4];case 2:s=u.sent(),n.set(o,s),u.label=3;case 3:return r++,[3,1];case 4:return[2,av(t,e,n)]}})})}function cv(t){return null!=t&&(Array.isArray(t)||"object"==typeof t&&!(t instanceof ut))}var pv=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}(),hv=function(t){function e(){return t.call(this,e.INITIAL_CAPACITY)||this}return _y(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}(pv);function fv(t){return new vv(t)}function dv(t){return new bv(t)}var mv,gv,yv=function(){function t(){}return t.prototype.collect=function(t,e){return void 0===t&&(t=1e3),void 0===e&&(e=100),My(this,void 0,void 0,function(){var n,r,i,o;return Ly(this,function(a){switch(a.label){case 0:return n=e>0?this.prefetch(e):this,r=[],i=0,[4,n.next()];case 1:o=a.sent(),a.label=2;case 2:return o.done?[3,4]:(r.push(o.value),++i>=t?[2,r]:[4,n.next()]);case 3:return o=a.sent(),[3,2];case 4:return[2,r]}})})},t.prototype.resolveFully=function(){return My(this,void 0,void 0,function(){var t;return Ly(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 My(this,void 0,void 0,function(){var e,n;return Ly(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 Iv(this,t)},t.prototype.filter=function(t){return new Cv(this,t)},t.prototype.map=function(t){return new Ev(this,t)},t.prototype.mapAsync=function(t){return new kv(this,t)},t.prototype.serialMapAsync=function(t){return new kv(this,t).serial()},t.prototype.flatmap=function(t){return new Tv(this,t)},t.prototype.forEachAsync=function(t){return My(this,void 0,void 0,function(){return Ly(this,function(e){return[2,this.map(t).resolveFully()]})})},t.prototype.serialForEach=function(t){return My(this,void 0,void 0,function(){return Ly(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 Sv(this,t,e)},t.prototype.columnMajorBatch=function(t,e,n){return void 0===e&&(e=!0),void 0===n&&(n=uv),this.rowMajorBatch(t,e).map(function(t){return sv(t,n)})},t.prototype.concatenate=function(t,e){return new Rv(fv([this,t]),e)},t.prototype.take=function(t){return t<0||null==t?this:new Nv(this,t)},t.prototype.skip=function(t){return t<0||null==t?this:new xv(this,t)},t.prototype.prefetch=function(t){return new Ov(this,t)},t.prototype.shuffle=function(t,e){return new _v(this,t,e)},t.prototype.serial=function(){return new wv(this)},t}(),vv=function(t){function e(e){var n=t.call(this)||this;return n.items=e,n.trav=0,n}return _y(e,t),e.prototype.summary=function(){return"Array of "+this.items.length+" items"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t,e;return Ly(this,function(n){return this.trav>=this.items.length?[2,{value:null,done:!0}]:(t=this.items[this.trav],e=t instanceof ut?Wo(t):t,this.trav++,[2,{value:e,done:!1}])})})},e}(yv),bv=function(t){function e(e){var n=t.call(this)||this;return n.nextFn=e,n}return _y(e,t),e.prototype.summary=function(){return"Function call"},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(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}(yv),wv=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 _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Serial"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return[2,this.upstream.next()]})})},e}(yv),xv=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 _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Skip"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){var t;return Ly(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]:(Ht(t.value),[3,0]);case 2:return[2,this.upstream.next()]}})})},e}(yv),Nv=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.maxCount=n,r.count=0,r}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Take"},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return this.count++>=this.maxCount?[2,{value:null,done:!0}]:[2,this.upstream.next()]})})},e}(yv),Sv=function(t){function e(e,n,r){void 0===r&&(r=!0);var i=t.call(this)||this;return i.upstream=e,i.batchSize=n,i.enableSmallLastBatch=r,i.lastRead=Promise.resolve({value:null,done:!1}),i}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){var t,e;return Ly(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}(yv),Cv=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 _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Filter"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){var t;return Ly(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]:(Ht(t.value),[3,0]);case 2:return[2]}})})},e}(yv),Ev=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Map"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t,e,n,r,i,o,a;return Ly(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=tv(t.value),n=this.transform(t.value),r=tv(n),i=0,o=e;i<o.length;i++)a=o[i],Qy(a,r)||a.dispose();return[2,{value:n,done:!1}]}})})},e}(yv),Iv=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 _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> handleErrors"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){var t;return Ly(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}(yv),kv=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t,e,n,r,i,o,a;return Ly(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=tv(t.value),[4,this.transform(t.value)]);case 2:for(n=s.sent(),r=tv(n),i=0,o=e;i<o.length;i++)a=o[i],Qy(a,r)||a.dispose();return[2,{value:n,done:!1}]}})})},e}(yv),Av=function(t){function e(){var e=t.call(this)||this;return e.outputQueue=new hv,e.lastRead=Promise.resolve({value:null,done:!1}),e}return _y(e,t),e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(this,function(e){return this.lastRead=this.lastRead.then(function(){return t.serialNext()}),[2,this.lastRead]})})},e.prototype.serialNext=function(){return My(this,void 0,void 0,function(){return Ly(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}(yv),Tv=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.transform=n,r}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},e.prototype.pump=function(){return My(this,void 0,void 0,function(){var t,e,n,r,i,o,a;return Ly(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=tv(t.value),n=this.transform(t.value),r=tv(n),this.outputQueue.pushAll(n),i=0,o=e;i<o.length;i++)a=o[i],Qy(a,r)||a.dispose();return[2,!0]}})})},e}(Av),Rv=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 _y(e,t),e.prototype.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]})})},e.prototype.readFromChain=function(t){return My(this,void 0,void 0,function(){var e,n;return Ly(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}(yv);(gv=mv||(mv={}))[gv.FAIL=0]="FAIL",gv[gv.SHORTEST=1]="SHORTEST",gv[gv.LONGEST=2]="LONGEST";var Dv=function(t){function e(e,n){void 0===n&&(n=mv.FAIL);var r=t.call(this)||this;return r.iterators=e,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}return _y(e,t),e.prototype.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},e.prototype.nextState=function(t){return My(this,void 0,void 0,function(){function e(t){return t instanceof yv?{value:t.next().then(function(t){return n++,t.done&&r++,t.value}),recurse:!1}:{value:null,recurse:!0}}var n,r,i;return Ly(this,function(o){switch(o.label){case 0:return[4,t];case 1:return o.sent(),n=0,r=0,[4,lv(this.iterators,e)];case 2:if(i=o.sent(),n===r)return[2,{value:null,done:!0}];if(r>0)switch(this.mismatchMode){case mv.FAIL:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case mv.SHORTEST:return[2,{value:null,done:!0}];case mv.LONGEST:}return this.count++,[2,{value:i,done:!1}]}})})},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){switch(t.label){case 0:return this.currentPromise=this.nextState(this.currentPromise),[4,this.currentPromise];case 1:return[2,t.sent()]}})})},e}(yv),Ov=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.bufferSize=n,r.buffer=new pv(n),r}return _y(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}(yv),_v=function(t){function e(e,n,r){var i=t.call(this,e,n)||this;return i.upstream=e,i.windowSize=n,i.upstreamExhausted=!1,i.random=Hy(r||X.now().toString()),i.lastRead=Promise.resolve({value:null,done:!1}),i}return _y(e,t),e.prototype.next=function(){return My(this,void 0,void 0,function(){var t=this;return Ly(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 My(this,void 0,void 0,function(){var t,e;return Ly(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}(Ov),Mv=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 X.assert(t>0,function(){return"batchSize needs to be positive, but it is\n      "+t}),Lv(function(){return My(n,void 0,void 0,function(){return Ly(this,function(n){switch(n.label){case 0:return[4,r.iterator()];case 1:return[2,n.sent().columnMajorBatch(t,e,Fv)]}})})},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 Lv(function(){return My(e,void 0,void 0,function(){var e,r;return Ly(this,function(i){switch(i.label){case 0:return[4,n.iterator()];case 1:return r=(e=i.sent()).concatenate,[4,t.iterator()];case 2:return[2,r.apply(e,[i.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 Lv(function(){return My(e,void 0,void 0,function(){return Ly(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().filter(function(e){return qt(function(){return t(e)})})]}})})},this.size===1/0?1/0:null)},t.prototype.forEachAsync=function(t){return My(this,void 0,void 0,function(){return Ly(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 My(this,void 0,void 0,function(){return Ly(this,function(e){return Pt("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 Lv(function(){return My(e,void 0,void 0,function(){return Ly(this,function(e){switch(e.label){case 0:return[4,n.iterator()];case 1:return[2,e.sent().map(function(e){return qt(function(){return t(e)})})]}})})},this.size)},t.prototype.mapAsync=function(t){var e=this,n=this;return Lv(function(){return My(e,void 0,void 0,function(){return Ly(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 Lv(function(){return My(e,void 0,void 0,function(){return Ly(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 Lv(function(){return My(e,void 0,void 0,function(){var e=this;return Ly(this,function(r){return[2,function(t,e){return new Rv(t,e)}(dv(function(){return My(e,void 0,void 0,function(){var t;return Ly(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 Lv(function(){return My(e,void 0,void 0,function(){return Ly(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 i=this,o=Hy(e||X.now().toString());return Lv(function(){return My(r,void 0,void 0,function(){var e;return Ly(this,function(r){switch(r.label){case 0:return e=o.int32(),n&&(e+=o.int32()),[4,i.iterator()];case 1:return[2,r.sent().shuffle(t,e.toString())]}})})},this.size)},t.prototype.take=function(t){var e=this,n=this;return Lv(function(){return My(e,void 0,void 0,function(){return Ly(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 My(this,void 0,void 0,function(){return Ly(this,function(t){switch(t.label){case 0:return[4,this.iterator()];case 1:return[2,t.sent().collect()]}})})},t.MAX_BUFFER_SIZE=1e4,t}();function Lv(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 _y(r,n),r.prototype.iterator=function(){return My(this,void 0,void 0,function(){return Ly(this,function(e){return[2,t()]})})},r}(Mv))}function Fv(t){return null===t?null:function(t){return null==t||ov(t)||Array.isArray(t)||"object"==typeof t&&t instanceof ut||$y(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 ut?oa(t):Te(t)}(t),recurse:!1}:{value:null,recurse:!0}}var zv=function(t){function e(e){var n=t.call(this)||this;return n.input=e,n}return _y(e,t),e.prototype.iterator=function(){return My(this,void 0,void 0,function(){var t;return Ly(this,function(e){switch(e.label){case 0:return[4,this.input.iterator()];case 1:return t=e.sent(),[2,t.decodeUTF8().split("\n")]}})})},e}(Mv),Pv=Symbol("out"),Bv=Symbol("field"),Uv=Symbol("quote"),Wv=Symbol("quoteafterquote"),Vv=Symbol("quoteinquote"),jv=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.base=new zv(e),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,r.delimiter=n.delimiter?n.delimiter:",",r}return _y(e,t),e.prototype.columnNames=function(){return My(this,void 0,void 0,function(){return Ly(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 My(this,void 0,void 0,function(){var t,e,n,r,i,o,a=this;return Ly(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&&X.assert(t.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+a.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}),X.assert(0===n.length,function(){return"Duplicate column names found: "+n.toString()}),this.columnConfigs)for(r=0,i=Object.keys(this.columnConfigs);r<i.length;r++)if(o=i[r],-1===this.fullColumnNames.indexOf(o))throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}})})},e.prototype.maybeReadHeaderLine=function(){return My(this,void 0,void 0,function(){var t;return Ly(this,function(e){switch(e.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return[4,e.sent().next()];case 2:if((t=e.sent()).done)throw new Error("No data was found for CSV parsing.");return[2,t.value.split(this.delimiter)];case 3:return[2,null]}})})},e.prototype.iterator=function(){return My(this,void 0,void 0,function(){var t,e=this;return Ly(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={},i=0;i<this.fullColumnNames.length;i++){var o=this.fullColumnNames[i],a=this.columnConfigs?this.columnConfigs[o]:null;if(!this.configuredColumnsOnly||a){var s=e[i],u=null;if(""===s)if(a&&void 0!==a.default)u=a.default;else{if(a&&(a.required||a.isLabel))throw new Error("Required column "+o+" is empty in this line: "+t);u=void 0}else{var l=Number(s);if(isNaN(l))u=a&&"bool"===a.dtype?this.getBoolean(s):s;else if(a&&a.dtype)switch(a.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}a&&a.isLabel?r[o]=u:n[o]=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){for(var e=[],n=0,r=t.length,i=Bv,o=0;o<r;o++)switch(i){case Pv:switch(t.charAt(o)){case'"':n=o+1,i=Uv;break;case this.delimiter:e.push(""),i=Pv,n=o+1;break;default:i=Bv,n=o}break;case Bv:switch(t.charAt(o)){case this.delimiter:e.push(t.substring(n,o)),i=Pv,n=o+1}break;case Uv:switch(t.charAt(o)){case'"':i=Wv}break;case Wv:switch(t.charAt(o)){case this.delimiter:e.push(t.substring(n,o-1)),i=Pv,n=o+1;break;case'"':i=Uv;break;default:i=Vv}break;case Vv:switch(t.charAt(o)){case'"':i=Uv}}return i===Wv?e.push(t.substring(n,r-1)):e.push(t.substring(n)),e},e}(Mv),qv=function(){},Gv=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return _y(e,t),e.prototype.split=function(t){return new Hv(this,t)},e}(yv),Hv=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.impl=new Kv(e,n),r}return _y(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return[2,this.impl.next()]})})},e}(Gv),Kv=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.separator=n,r.carryover="",r}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},e.prototype.pump=function(){return My(this,void 0,void 0,function(){var t,e,n,r,i;return Ly(this,function(o){switch(o.label){case 0:return[4,this.upstream.next()];case 1:if((t=o.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++)i=r[n],this.outputQueue.push(i);return this.carryover=e[e.length-1],[2,!0]}})})},e}(Av),$v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return _y(e,t),e.prototype.decodeUTF8=function(){return new Xv(this)},e}(yv),Xv=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.impl=new Yv(e),n}return _y(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return[2,this.impl.next()]})})},e}(Gv),Yv=function(t){function e(e){var n=t.call(this)||this;if(n.upstream=e,Bt.get("IS_BROWSER"))n.decoder=new TextDecoder("utf-8");else{var r=require("string_decoder").StringDecoder;n.decoder=new r("utf8")}return n}return _y(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Utf8"},e.prototype.pump=function(){return My(this,void 0,void 0,function(){var t,e,n;return Ly(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=Bt.get("IS_BROWSER")?this.decoder.decode(e,{stream:!0}):this.decoder.write(Buffer.from(e.buffer)),this.outputQueue.push(n),[2,!0])}})})},e}(Av),Jv=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.file=e,r.options=n,X.assert(e instanceof Uint8Array||!!Bt.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 _y(e,t),e.prototype.summary=function(){return"FileChunks "+this.file},e.prototype.next=function(){return My(this,void 0,void 0,function(){var t,e,n=this;return Ly(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 i=new FileReader;i.onload=function(n){var r=i.result;if(r instanceof ArrayBuffer&&(r=new Uint8Array(r)),!(r instanceof Uint8Array))return e(new TypeError("FileReader returned unknown type."));t(r)},i.onabort=function(t){return e(new Error("Aborted"))},i.onerror=function(t){return e(new Error(t.type))};var o=n.file.slice(n.offset,r);i.readAsArrayBuffer(o)}n.offset=r}),e={},[4,t]);case 1:return[2,(e.value=r.sent(),e.done=!1,e)]}})})},e}($v);function Zv(t){return"string"==typeof t&&"file://"===t.substr(0,7)}var Qv=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 _y(e,t),e.prototype.iterator=function(){return My(this,void 0,void 0,function(){var t;return Ly(this,function(e){return Zv(this.input)&&Bt.get("IS_NODE")&&(t=require("fs"),this.input=t.readFileSync(this.input.substr(7))),[2,new Jv(this.input,this.options)]})})},e}(qv),tb=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 _y(e,t),e.prototype.iterator=function(){return My(this,void 0,void 0,function(){return Ly(this,function(t){return Zv(this.url)?[2,new Qv(this.url,this.fileOptions).iterator()]:[2,function(t,e){return void 0===e&&(e={}),My(this,void 0,void 0,function(){var n,r,i,o;return Ly(this,function(a){switch(a.label){case 0:return Bt.get("IS_BROWSER")?[4,fetch(t)]:[3,5];case 1:return(n=a.sent()).ok?[4,n.blob()]:[3,3];case 2:return r=a.sent(),[2,new Jv(r,e)];case 3:throw new Error(n.statusText);case 4:return[3,9];case 5:if(i=require("node-fetch"),"string"!=typeof t)throw new Error("URL must be a string. Request objects are not supported in the node.js environment yet.");return[4,i(t)];case 6:return(n=a.sent()).ok?[4,n.buffer()]:[3,8];case 7:return o=a.sent(),[2,new Jv(o,e)];case 8:throw new Error(n.statusText);case 9:return[2]}})})}(this.url,this.fileOptions)]})})},e}(qv);var eb=Object.freeze({array:function(t){var e=this;return Lv(function(){return My(e,void 0,void 0,function(){return Ly(this,function(e){return[2,fv(t)]})})},t.length)},Dataset:Mv,zip:function(t){var e,n=this;if(!cv(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 i in t)e=null==e?t[i].size:Math.min(e,t[i].size);return Lv(function(){return My(n,void 0,void 0,function(){return Ly(this,function(e){switch(e.label){case 0:return[4,lv(t,function(t){if(t instanceof Mv)return{value:t.iterator(),recurse:!1};if(cv(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=mv.FAIL),new Dv(t,e)}(e.sent(),mv.SHORTEST)]}})})},e)},CSVDataset:jv,TextLineDataset:zv,csv:function(t,e){return void 0===e&&(e={}),new jv(new tb(t),e)},func:function(t){var e=this,n=dv(t);return Lv(function(){return My(e,void 0,void 0,function(){return Ly(this,function(t){return[2,n]})})})},generator:function(t){var e=this;return Lv(function(){return My(e,void 0,void 0,function(){var e;return Ly(this,function(n){switch(n.label){case 0:return[4,t()];case 1:return e=n.sent(),[2,dv(function(){return e.next()})]}})})})},FileDataSource:Qv,URLDataSource:tb,version_data:"1.0.0"}),nb={"tfjs-core":"1.0.0","tfjs-data":"1.0.0","tfjs-layers":"1.0.0","tfjs-converter":"1.0.0",tfjs:"1.0.0"};t.data=eb,t.version=nb,t.setBackend=Zc,t.getBackend=Qc,t.disposeVariables=tp,t.memory=ep,t.version_core="1.0.0",t.nextFrame=Fl,t.enableProdMode=Lt,t.enableDebugMode=Ft,t.disableDeprecationWarnings=zt,t.deprecationWarn=Pt,t.browser=Oc,t.environment=Ut,t.io=Ac,t.math=Rc,t.serialization=Fc,t.test_util=Uc,t.util=X,t.webgl=Wc,t.AdadeltaOptimizer=jc,t.AdagradOptimizer=qc,t.AdamOptimizer=Gc,t.AdamaxOptimizer=Hc,t.MomentumOptimizer=$c,t.Optimizer=Vc,t.RMSPropOptimizer=Xc,t.SGDOptimizer=Kc,t.Tensor=ut,t.TensorBuffer=it,t.variable=mt,t.Variable=lt,t.ENV=Bt,t.Environment=_t,t.KernelBackend=Ge,t.DataStorage=qe,t.image=Rl,t.linalg=Sl,t.losses=bl,t.spectral=sl,t.fused=Ol,t.op=Se,t.batchNormalization2d=Ja,t.batchNormalization3d=Za,t.batchNormalization4d=Qa,t.batchNormalization=ts,t.batchNorm=es,t.batchNorm2d=ns,t.batchNorm3d=rs,t.batchNorm4d=is,t.complex=Ie,t.real=ke,t.imag=Ae,t.concat=xo,t.concat1d=No,t.concat2d=So,t.concat3d=Co,t.concat4d=Eo,t.split=Io,t.conv1d=ys,t.conv2d=vs,t.conv3d=bs,t.conv2dDerFilter=ws,t.depthwiseConv2d=xs,t.separableConv2d=Ns,t.conv2dTranspose=Ss,t.matMul=Cs,t.dot=Es,t.outerProduct=Is,t.reverse=ks,t.reverse1d=As,t.reverse2d=Ts,t.reverse3d=Rs,t.reverse4d=Ds,t.maxPool=Ms,t.avgPool=Ls,t.pool=Fs,t.slice=zs,t.slice1d=Ps,t.slice2d=Bs,t.slice3d=Us,t.slice4d=Ws,t.abs=fa,t.acos=da,t.acosh=ma,t.asin=ga,t.asinh=ya,t.atan=va,t.atanh=ba,t.ceil=wa,t.clipByValue=xa,t.cos=Na,t.cosh=Sa,t.erf=Ca,t.exp=Ea,t.expm1=Ia,t.floor=ka,t.log=Aa,t.log1p=Ta,t.logSigmoid=Ra,t.neg=Da,t.reciprocal=Oa,t.round=_a,t.rsqrt=Ma,t.sigmoid=La,t.sign=Fa,t.sin=za,t.sinh=Pa,t.softplus=Ba,t.sqrt=Ua,t.square=Wa,t.step=Va,t.tan=ja,t.tanh=qa,t.all=js,t.any=qs,t.argMax=Gs,t.argMin=Hs,t.logSumExp=Ks,t.max=$s,t.mean=Xs,t.min=Ys,t.moments=Js,t.sum=Zs,t.prod=Qs,t.equal=tu,t.equalStrict=eu,t.greater=nu,t.greaterEqual=ru,t.greaterEqualStrict=iu,t.greaterStrict=ou,t.less=au,t.lessEqual=su,t.lessEqualStrict=uu,t.lessStrict=lu,t.notEqual=cu,t.notEqualStrict=pu,t.add=hu,t.addN=fu,t.addStrict=du,t.atan2=mu,t.div=gu,t.divStrict=yu,t.floorDiv=vu,t.maximum=bu,t.maximumStrict=wu,t.minimum=xu,t.minimumStrict=Nu,t.mod=Su,t.modStrict=Cu,t.mul=Eu,t.mulStrict=Iu,t.pow=ku,t.powStrict=Au,t.squaredDifference=Tu,t.squaredDifferenceStrict=Ru,t.sub=Du,t.subStrict=Ou,t.elu=Bu,t.leakyRelu=Uu,t.prelu=Wu,t.relu=Vu,t.selu=ju,t.logicalAnd=_u,t.logicalNot=Mu,t.logicalOr=Lu,t.logicalXor=Fu,t.where=zu,t.whereAsync=Pu,t.buffer=zo,t.print=Po,t.batchToSpaceND=Bo,t.cast=Uo,t.clone=Wo,t.cumsum=Vo,t.depthToSpace=jo,t.expandDims=qo,t.eye=Go,t.multinomial=Ho,t.oneHot=Ko,t.pad=$o,t.pad1d=Xo,t.pad2d=Yo,t.pad3d=Jo,t.pad4d=Zo,t.rand=Qo,t.randomNormal=ta,t.randomUniform=ea,t.reshape=na,t.spaceToBatchND=ra,t.squeeze=ia,t.stack=oa,t.tile=aa,t.truncatedNormal=sa,t.unstack=ua,t.setdiff1dAsync=la,t.fill=Be,t.linspace=Ue,t.ones=ze,t.range=We,t.scalar=Re,t.tensor=Te,t.tensor1d=De,t.tensor2d=Oe,t.tensor3d=_e,t.tensor4d=Me,t.tensor5d=Le,t.tensor6d=Fe,t.zeros=Pe,t.onesLike=Ve,t.zerosLike=je,t.transpose=qu,t.softmax=Ce,t.logSoftmax=Ee,t.localResponseNormalization=Gu,t.norm=Hu,t.gather=Xu,t.unsortedSegmentSum=Yu,t.basicLSTMCell=Ju,t.multiRNNCell=Zu,t.movingAverage=Qu,t.stridedSlice=tl,t.topk=el,t.scatterND=nl,t.fft=rl,t.ifft=il,t.rfft=ol,t.irfft=al,t.sparseToDense=ul,t.gatherND=ll,t.train=Jc,t.tidy=qt,t.keep=Gt,t.dispose=Ht,t.time=Kt,t.profile=$t,t.customGrad=Vt,t.grad=function(t){return d(U(t),function(){return"The f passed in grad(f) must be a function"}),function(e,n){return d(e instanceof ut,function(){return"The x passed in grad(f)(x) must be a tensor"}),d(null==n||n instanceof ut,function(){return"The dy passed in grad(f)(x, dy) must be a tensor"}),Bt.engine.tidy(function(){var r=Bt.engine.gradients(function(){return t(e)},[e],n),i=r.value,o=r.grads;return null!=n&&m(i.shape,n.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),jt(o),o[0]})}},t.grads=function(t){return d(U(t),function(){return"The f passed in grads(f) must be a function"}),function(e,n){return d(Array.isArray(e)&&e.every(function(t){return t instanceof ut}),function(){return"The args passed in grads(f)(args) must be an array of tensors"}),d(null==n||n instanceof ut,function(){return"The dy passed in grads(f)(args, dy) must be a tensor"}),Bt.engine.tidy(function(){var r=Bt.engine.gradients(function(){return t.apply(void 0,e)},e,n),i=r.value,o=r.grads;return null!=n&&m(i.shape,n.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),jt(o),o})}},t.valueAndGrad=function(t){return d(U(t),function(){return"The f passed in valueAndGrad(f) must be a function"}),function(e,n){d(e instanceof ut,function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"}),d(null==n||n instanceof ut,function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"});var r=Bt.engine.gradients(function(){return t(e)},[e],n),i=r.grads,o=r.value;return jt(i),{grad:i[0],value:o}}},t.valueAndGrads=function(t){return d(U(t),function(){return"The f passed in valueAndGrads(f) must be a function"}),function(e,n){d(Array.isArray(e)&&e.every(function(t){return t instanceof ut}),function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"}),d(null==n||n instanceof ut,function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"});var r=Bt.engine.gradients(function(){return t.apply(void 0,e)},e,n);return null!=n&&m(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),jt(r.grads),r}},t.variableGrads=Wt,t.constraints=Kp,t.initializers=Jh,t.layers=Dg,t.metrics=Og,t.models=_g,t.regularizers=Lg,t.CallbackList=wf,t.CustomCallback=Cf,t.History=Sf,t.Callback=Fg,t.InputSpec=uf,t.SymbolicTensor=lf,t.LayersModel=Ld,t.input=Pd,t.loadLayersModel=function(t,e){return null==e&&(e={}),Fd(t,e)},t.model=function(t){return new Ld(t)},t.registerCallbackConstructor=function(t,e){If.registerCallbackConstructor(t,e)},t.sequential=function(t){return new zd(t)},t.RNN=sg,t.Sequential=zd,t.LayerVariable=of,t.version_layers="1.0.0",t.GraphModel=Dy,t.loadGraphModel=function(t,e){return void 0===e&&(e={}),Pg(this,void 0,void 0,function(){var n;return Bg(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+Ry+Ty),[4,(n=new Dy(t,e)).load()];case 1:return r.sent(),[2,n]}})})},t.version_converter="1.0.0",Object.defineProperty(t,"__esModule",{value:!0})});
//# sourceMappingURL=tf.min.js.map