tf.min.js

/**
 * @license
 * Copyright 2022 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e=e||self).tf=e.tf||{})}(this,(function(e){"use strict";var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};function n(e,t){return e(t={exports:{}},t.exports),t.exports}var r=function(e){return e&&e.Math==Math&&e},a=r("object"==typeof globalThis&&globalThis)||r("object"==typeof window&&window)||r("object"==typeof self&&self)||r("object"==typeof t&&t)||function(){return this}()||Function("return this")(),i=function(e){try{return!!e()}catch(e){return!0}},o=!i((function(){return 7!=Object.defineProperty({},1,{get:function(){return 7}})[1]})),s={}.propertyIsEnumerable,u=Object.getOwnPropertyDescriptor,l={f:u&&!s.call({1:2},1)?function(e){var t=u(this,e);return!!t&&t.enumerable}:s},c=function(e,t){return{enumerable:!(1&e),configurable:!(2&e),writable:!(4&e),value:t}},p={}.toString,h=function(e){return p.call(e).slice(8,-1)},f="".split,d=i((function(){return!Object("z").propertyIsEnumerable(0)}))?function(e){return"String"==h(e)?f.call(e,""):Object(e)}:Object,m=function(e){if(null==e)throw TypeError("Can't call method on "+e);return e},v=function(e){return d(m(e))},g=function(e){return"object"==typeof e?null!==e:"function"==typeof e},y=function(e,t){if(!g(e))return e;var n,r;if(t&&"function"==typeof(n=e.toString)&&!g(r=n.call(e)))return r;if("function"==typeof(n=e.valueOf)&&!g(r=n.call(e)))return r;if(!t&&"function"==typeof(n=e.toString)&&!g(r=n.call(e)))return r;throw TypeError("Can't convert object to primitive value")},b={}.hasOwnProperty,x=function(e,t){return b.call(e,t)},w=a.document,k=g(w)&&g(w.createElement),N=function(e){return k?w.createElement(e):{}},I=!o&&!i((function(){return 7!=Object.defineProperty(N("div"),"a",{get:function(){return 7}}).a})),S=Object.getOwnPropertyDescriptor,T={f:o?S:function(e,t){if(e=v(e),t=y(t,!0),I)try{return S(e,t)}catch(e){}if(x(e,t))return c(!l.f.call(e,t),e[t])}},E=function(e){if(!g(e))throw TypeError(String(e)+" is not an object");return e},C=Object.defineProperty,R={f:o?C:function(e,t,n){if(E(e),t=y(t,!0),E(n),I)try{return C(e,t,n)}catch(e){}if("get"in n||"set"in n)throw TypeError("Accessors not supported");return"value"in n&&(e[t]=n.value),e}},A=o?function(e,t,n){return R.f(e,t,c(1,n))}:function(e,t,n){return e[t]=n,e},_=function(e,t){try{A(a,e,t)}catch(n){a[e]=t}return t},F="__core-js_shared__",D=a[F]||_(F,{}),O=Function.toString;"function"!=typeof D.inspectSource&&(D.inspectSource=function(e){return O.call(e)});var M,L,z,P=D.inspectSource,B=a.WeakMap,W="function"==typeof B&&/native code/.test(P(B)),U=n((function(e){(e.exports=function(e,t){return D[e]||(D[e]=void 0!==t?t:{})})("versions",[]).push({version:"3.9.1",mode:"global",copyright:"© 2021 Denis Pushkarev (zloirock.ru)"})})),V=0,G=Math.random(),j=function(e){return"Symbol("+String(void 0===e?"":e)+")_"+(++V+G).toString(36)},H=U("keys"),q=function(e){return H[e]||(H[e]=j(e))},K={},X=a.WeakMap;if(W){var Y=D.state||(D.state=new X),J=Y.get,Z=Y.has,Q=Y.set;M=function(e,t){return t.facade=e,Q.call(Y,e,t),t},L=function(e){return J.call(Y,e)||{}},z=function(e){return Z.call(Y,e)}}else{var $=q("state");K[$]=!0,M=function(e,t){return t.facade=e,A(e,$,t),t},L=function(e){return x(e,$)?e[$]:{}},z=function(e){return x(e,$)}}var ee,te,ne={set:M,get:L,has:z,enforce:function(e){return z(e)?L(e):M(e,{})},getterFor:function(e){return function(t){var n;if(!g(t)||(n=L(t)).type!==e)throw TypeError("Incompatible receiver, "+e+" required");return n}}},re=n((function(e){var t=ne.get,n=ne.enforce,r=String(String).split("String");(e.exports=function(e,t,i,o){var s,u=!!o&&!!o.unsafe,l=!!o&&!!o.enumerable,c=!!o&&!!o.noTargetGet;"function"==typeof i&&("string"!=typeof t||x(i,"name")||A(i,"name",t),(s=n(i)).source||(s.source=r.join("string"==typeof t?t:""))),e!==a?(u?!c&&e[t]&&(l=!0):delete e[t],l?e[t]=i:A(e,t,i)):l?e[t]=i:_(t,i)})(Function.prototype,"toString",(function(){return"function"==typeof this&&t(this).source||P(this)}))})),ae=a,ie=function(e){return"function"==typeof e?e:void 0},oe=function(e,t){return arguments.length<2?ie(ae[e])||ie(a[e]):ae[e]&&ae[e][t]||a[e]&&a[e][t]},se=Math.ceil,ue=Math.floor,le=function(e){return isNaN(e=+e)?0:(e>0?ue:se)(e)},ce=Math.min,pe=function(e){return e>0?ce(le(e),9007199254740991):0},he=Math.max,fe=Math.min,de=function(e,t){var n=le(e);return n<0?he(n+t,0):fe(n,t)},me=function(e){return function(t,n,r){var a,i=v(t),o=pe(i.length),s=de(r,o);if(e&&n!=n){for(;o>s;)if((a=i[s++])!=a)return!0}else for(;o>s;s++)if((e||s in i)&&i[s]===n)return e||s||0;return!e&&-1}},ve={includes:me(!0),indexOf:me(!1)},ge=ve.indexOf,ye=function(e,t){var n,r=v(e),a=0,i=[];for(n in r)!x(K,n)&&x(r,n)&&i.push(n);for(;t.length>a;)x(r,n=t[a++])&&(~ge(i,n)||i.push(n));return i},be=["constructor","hasOwnProperty","isPrototypeOf","propertyIsEnumerable","toLocaleString","toString","valueOf"],xe=be.concat("length","prototype"),we={f:Object.getOwnPropertyNames||function(e){return ye(e,xe)}},ke={f:Object.getOwnPropertySymbols},Ne=oe("Reflect","ownKeys")||function(e){var t=we.f(E(e)),n=ke.f;return n?t.concat(n(e)):t},Ie=function(e,t){for(var n=Ne(t),r=R.f,a=T.f,i=0;i<n.length;i++){var o=n[i];x(e,o)||r(e,o,a(t,o))}},Se=/#|\.prototype\./,Te=function(e,t){var n=Ce[Ee(e)];return n==Ae||n!=Re&&("function"==typeof t?i(t):!!t)},Ee=Te.normalize=function(e){return String(e).replace(Se,".").toLowerCase()},Ce=Te.data={},Re=Te.NATIVE="N",Ae=Te.POLYFILL="P",_e=Te,Fe=T.f,De=function(e,t){var n,r,i,o,s,u=e.target,l=e.global,c=e.stat;if(n=l?a:c?a[u]||_(u,{}):(a[u]||{}).prototype)for(r in t){if(o=t[r],i=e.noTargetGet?(s=Fe(n,r))&&s.value:n[r],!_e(l?r:u+(c?".":"#")+r,e.forced)&&void 0!==i){if(typeof o==typeof i)continue;Ie(o,i)}(e.sham||i&&i.sham)&&A(o,"sham",!0),re(n,r,o,e)}},Oe="process"==h(a.process),Me=oe("navigator","userAgent")||"",Le=a.process,ze=Le&&Le.versions,Pe=ze&&ze.v8;Pe?te=(ee=Pe.split("."))[0]+ee[1]:Me&&(!(ee=Me.match(/Edge\/(\d+)/))||ee[1]>=74)&&(ee=Me.match(/Chrome\/(\d+)/))&&(te=ee[1]);var Be,We=te&&+te,Ue=!!Object.getOwnPropertySymbols&&!i((function(){return!Symbol.sham&&(Oe?38===We:We>37&&We<41)})),Ve=Ue&&!Symbol.sham&&"symbol"==typeof Symbol.iterator,Ge=Array.isArray||function(e){return"Array"==h(e)},je=function(e){return Object(m(e))},He=Object.keys||function(e){return ye(e,be)},qe=o?Object.defineProperties:function(e,t){E(e);for(var n,r=He(t),a=r.length,i=0;a>i;)R.f(e,n=r[i++],t[n]);return e},Ke=oe("document","documentElement"),Xe=q("IE_PROTO"),Ye=function(){},Je=function(e){return"<script>"+e+"</"+"script>"},Ze=function(){try{Be=document.domain&&new ActiveXObject("htmlfile")}catch(e){}var e,t;Ze=Be?function(e){e.write(Je("")),e.close();var t=e.parentWindow.Object;return e=null,t}(Be):((t=N("iframe")).style.display="none",Ke.appendChild(t),t.src=String("javascript:"),(e=t.contentWindow.document).open(),e.write(Je("document.F=Object")),e.close(),e.F);for(var n=be.length;n--;)delete Ze.prototype[be[n]];return Ze()};K[Xe]=!0;var Qe=Object.create||function(e,t){var n;return null!==e?(Ye.prototype=E(e),n=new Ye,Ye.prototype=null,n[Xe]=e):n=Ze(),void 0===t?n:qe(n,t)},$e=we.f,et={}.toString,tt="object"==typeof window&&window&&Object.getOwnPropertyNames?Object.getOwnPropertyNames(window):[],nt={f:function(e){return tt&&"[object Window]"==et.call(e)?function(e){try{return $e(e)}catch(e){return tt.slice()}}(e):$e(v(e))}},rt=U("wks"),at=a.Symbol,it=Ve?at:at&&at.withoutSetter||j,ot=function(e){return x(rt,e)&&(Ue||"string"==typeof rt[e])||(Ue&&x(at,e)?rt[e]=at[e]:rt[e]=it("Symbol."+e)),rt[e]},st={f:ot},ut=R.f,lt=function(e){var t=ae.Symbol||(ae.Symbol={});x(t,e)||ut(t,e,{value:st.f(e)})},ct=R.f,pt=ot("toStringTag"),ht=function(e,t,n){e&&!x(e=n?e:e.prototype,pt)&&ct(e,pt,{configurable:!0,value:t})},ft=function(e){if("function"!=typeof e)throw TypeError(String(e)+" is not a function");return e},dt=function(e,t,n){if(ft(e),void 0===t)return e;switch(n){case 0:return function(){return e.call(t)};case 1:return function(n){return e.call(t,n)};case 2:return function(n,r){return e.call(t,n,r)};case 3:return function(n,r,a){return e.call(t,n,r,a)}}return function(){return e.apply(t,arguments)}},mt=ot("species"),vt=function(e,t){var n;return Ge(e)&&("function"!=typeof(n=e.constructor)||n!==Array&&!Ge(n.prototype)?g(n)&&null===(n=n[mt])&&(n=void 0):n=void 0),new(void 0===n?Array:n)(0===t?0:t)},gt=[].push,yt=function(e){var t=1==e,n=2==e,r=3==e,a=4==e,i=6==e,o=7==e,s=5==e||i;return function(u,l,c,p){for(var h,f,m=je(u),v=d(m),g=dt(l,c,3),y=pe(v.length),b=0,x=p||vt,w=t?x(u,y):n||o?x(u,0):void 0;y>b;b++)if((s||b in v)&&(f=g(h=v[b],b,m),e))if(t)w[b]=f;else if(f)switch(e){case 3:return!0;case 5:return h;case 6:return b;case 2:gt.call(w,h)}else switch(e){case 4:return!1;case 7:gt.call(w,h)}return i?-1:r||a?a:w}},bt={forEach:yt(0),map:yt(1),filter:yt(2),some:yt(3),every:yt(4),find:yt(5),findIndex:yt(6),filterOut:yt(7)},xt=bt.forEach,wt=q("hidden"),kt="Symbol",Nt=ot("toPrimitive"),It=ne.set,St=ne.getterFor(kt),Tt=Object.prototype,Et=a.Symbol,Ct=oe("JSON","stringify"),Rt=T.f,At=R.f,_t=nt.f,Ft=l.f,Dt=U("symbols"),Ot=U("op-symbols"),Mt=U("string-to-symbol-registry"),Lt=U("symbol-to-string-registry"),zt=U("wks"),Pt=a.QObject,Bt=!Pt||!Pt.prototype||!Pt.prototype.findChild,Wt=o&&i((function(){return 7!=Qe(At({},"a",{get:function(){return At(this,"a",{value:7}).a}})).a}))?function(e,t,n){var r=Rt(Tt,t);r&&delete Tt[t],At(e,t,n),r&&e!==Tt&&At(Tt,t,r)}:At,Ut=function(e,t){var n=Dt[e]=Qe(Et.prototype);return It(n,{type:kt,tag:e,description:t}),o||(n.description=t),n},Vt=Ve?function(e){return"symbol"==typeof e}:function(e){return Object(e)instanceof Et},Gt=function(e,t,n){e===Tt&&Gt(Ot,t,n),E(e);var r=y(t,!0);return E(n),x(Dt,r)?(n.enumerable?(x(e,wt)&&e[wt][r]&&(e[wt][r]=!1),n=Qe(n,{enumerable:c(0,!1)})):(x(e,wt)||At(e,wt,c(1,{})),e[wt][r]=!0),Wt(e,r,n)):At(e,r,n)},jt=function(e,t){E(e);var n=v(t),r=He(n).concat(Xt(n));return xt(r,(function(t){o&&!Ht.call(n,t)||Gt(e,t,n[t])})),e},Ht=function(e){var t=y(e,!0),n=Ft.call(this,t);return!(this===Tt&&x(Dt,t)&&!x(Ot,t))&&(!(n||!x(this,t)||!x(Dt,t)||x(this,wt)&&this[wt][t])||n)},qt=function(e,t){var n=v(e),r=y(t,!0);if(n!==Tt||!x(Dt,r)||x(Ot,r)){var a=Rt(n,r);return!a||!x(Dt,r)||x(n,wt)&&n[wt][r]||(a.enumerable=!0),a}},Kt=function(e){var t=_t(v(e)),n=[];return xt(t,(function(e){x(Dt,e)||x(K,e)||n.push(e)})),n},Xt=function(e){var t=e===Tt,n=_t(t?Ot:v(e)),r=[];return xt(n,(function(e){!x(Dt,e)||t&&!x(Tt,e)||r.push(Dt[e])})),r};if(Ue||(re((Et=function(){if(this instanceof Et)throw TypeError("Symbol is not a constructor");var e=arguments.length&&void 0!==arguments[0]?String(arguments[0]):void 0,t=j(e),n=function e(n){this===Tt&&e.call(Ot,n),x(this,wt)&&x(this[wt],t)&&(this[wt][t]=!1),Wt(this,t,c(1,n))};return o&&Bt&&Wt(Tt,t,{configurable:!0,set:n}),Ut(t,e)}).prototype,"toString",(function(){return St(this).tag})),re(Et,"withoutSetter",(function(e){return Ut(j(e),e)})),l.f=Ht,R.f=Gt,T.f=qt,we.f=nt.f=Kt,ke.f=Xt,st.f=function(e){return Ut(ot(e),e)},o&&(At(Et.prototype,"description",{configurable:!0,get:function(){return St(this).description}}),re(Tt,"propertyIsEnumerable",Ht,{unsafe:!0}))),De({global:!0,wrap:!0,forced:!Ue,sham:!Ue},{Symbol:Et}),xt(He(zt),(function(e){lt(e)})),De({target:kt,stat:!0,forced:!Ue},{for:function(e){var t=String(e);if(x(Mt,t))return Mt[t];var n=Et(t);return Mt[t]=n,Lt[n]=t,n},keyFor:function(e){if(!Vt(e))throw TypeError(e+" is not a symbol");if(x(Lt,e))return Lt[e]},useSetter:function(){Bt=!0},useSimple:function(){Bt=!1}}),De({target:"Object",stat:!0,forced:!Ue,sham:!o},{create:function(e,t){return void 0===t?Qe(e):jt(Qe(e),t)},defineProperty:Gt,defineProperties:jt,getOwnPropertyDescriptor:qt}),De({target:"Object",stat:!0,forced:!Ue},{getOwnPropertyNames:Kt,getOwnPropertySymbols:Xt}),De({target:"Object",stat:!0,forced:i((function(){ke.f(1)}))},{getOwnPropertySymbols:function(e){return ke.f(je(e))}}),Ct){var Yt=!Ue||i((function(){var e=Et();return"[null]"!=Ct([e])||"{}"!=Ct({a:e})||"{}"!=Ct(Object(e))}));De({target:"JSON",stat:!0,forced:Yt},{stringify:function(e,t,n){for(var r,a=[e],i=1;arguments.length>i;)a.push(arguments[i++]);if(r=t,(g(t)||void 0!==e)&&!Vt(e))return Ge(t)||(t=function(e,t){if("function"==typeof r&&(t=r.call(this,e,t)),!Vt(t))return t}),a[1]=t,Ct.apply(null,a)}})}Et.prototype[Nt]||A(Et.prototype,Nt,Et.prototype.valueOf),ht(Et,kt),K[wt]=!0,lt("asyncIterator");var Jt=R.f,Zt=a.Symbol;if(o&&"function"==typeof Zt&&(!("description"in Zt.prototype)||void 0!==Zt().description)){var Qt={},$t=function(){var e=arguments.length<1||void 0===arguments[0]?void 0:String(arguments[0]),t=this instanceof $t?new Zt(e):void 0===e?Zt():Zt(e);return""===e&&(Qt[t]=!0),t};Ie($t,Zt);var en=$t.prototype=Zt.prototype;en.constructor=$t;var tn=en.toString,nn="Symbol(test)"==String(Zt("test")),rn=/^Symbol\((.*)\)[^)]+$/;Jt(en,"description",{configurable:!0,get:function(){var e=g(this)?this.valueOf():this,t=tn.call(e);if(x(Qt,e))return"";var n=nn?t.slice(7,-1):t.replace(rn,"$1");return""===n?void 0:n}}),De({global:!0,forced:!0},{Symbol:$t})}lt("hasInstance"),lt("isConcatSpreadable"),lt("iterator"),lt("match"),lt("matchAll"),lt("replace"),lt("search"),lt("species"),lt("split"),lt("toPrimitive"),lt("toStringTag"),lt("unscopables");var an=!i((function(){function e(){}return e.prototype.constructor=null,Object.getPrototypeOf(new e)!==e.prototype})),on=q("IE_PROTO"),sn=Object.prototype,un=an?Object.getPrototypeOf:function(e){return e=je(e),x(e,on)?e[on]:"function"==typeof e.constructor&&e instanceof e.constructor?e.constructor.prototype:e instanceof Object?sn:null},ln=function(e){if(!g(e)&&null!==e)throw TypeError("Can't set "+String(e)+" as a prototype");return e},cn=Object.setPrototypeOf||("__proto__"in{}?function(){var e,t=!1,n={};try{(e=Object.getOwnPropertyDescriptor(Object.prototype,"__proto__").set).call(n,[]),t=n instanceof Array}catch(e){}return function(n,r){return E(n),ln(r),t?e.call(n,r):n.__proto__=r,n}}():void 0),pn={},hn=ot("iterator"),fn=Array.prototype,dn=function(e){return void 0!==e&&(pn.Array===e||fn[hn]===e)},mn={};mn[ot("toStringTag")]="z";var vn="[object z]"===String(mn),gn=ot("toStringTag"),yn="Arguments"==h(function(){return arguments}()),bn=vn?h:function(e){var t,n,r;return void 0===e?"Undefined":null===e?"Null":"string"==typeof(n=function(e,t){try{return e[t]}catch(e){}}(t=Object(e),gn))?n:yn?h(t):"Object"==(r=h(t))&&"function"==typeof t.callee?"Arguments":r},xn=ot("iterator"),wn=function(e){if(null!=e)return e[xn]||e["@@iterator"]||pn[bn(e)]},kn=function(e){var t=e.return;if(void 0!==t)return E(t.call(e)).value},Nn=function(e,t){this.stopped=e,this.result=t},In=function(e,t,n){var r,a,i,o,s,u,l,c=n&&n.that,p=!(!n||!n.AS_ENTRIES),h=!(!n||!n.IS_ITERATOR),f=!(!n||!n.INTERRUPTED),d=dt(t,c,1+p+f),m=function(e){return r&&kn(r),new Nn(!0,e)},v=function(e){return p?(E(e),f?d(e[0],e[1],m):d(e[0],e[1])):f?d(e,m):d(e)};if(h)r=e;else{if("function"!=typeof(a=wn(e)))throw TypeError("Target is not iterable");if(dn(a)){for(i=0,o=pe(e.length);o>i;i++)if((s=v(e[i]))&&s instanceof Nn)return s;return new Nn(!1)}r=a.call(e)}for(u=r.next;!(l=u.call(r)).done;){try{s=v(l.value)}catch(e){throw kn(r),e}if("object"==typeof s&&s&&s instanceof Nn)return s}return new Nn(!1)},Sn=function(e,t){var n=this;if(!(n instanceof Sn))return new Sn(e,t);cn&&(n=cn(new Error(void 0),un(n))),void 0!==t&&A(n,"message",String(t));var r=[];return In(e,r.push,{that:r}),A(n,"errors",r),n};Sn.prototype=Qe(Error.prototype,{constructor:c(5,Sn),message:c(5,""),name:c(5,"AggregateError")}),De({global:!0},{AggregateError:Sn});var Tn=function(e,t,n,r){try{return r?t(E(n)[0],n[1]):t(n)}catch(t){throw kn(e),t}},En=function(e,t,n){var r=y(t);r in e?R.f(e,r,c(0,n)):e[r]=n},Cn=function(e){var t,n,r,a,i,o,s=je(e),u="function"==typeof this?this:Array,l=arguments.length,c=l>1?arguments[1]:void 0,p=void 0!==c,h=wn(s),f=0;if(p&&(c=dt(c,l>2?arguments[2]:void 0,2)),null==h||u==Array&&dn(h))for(n=new u(t=pe(s.length));t>f;f++)o=p?c(s[f],f):s[f],En(n,f,o);else for(i=(a=h.call(s)).next,n=new u;!(r=i.call(a)).done;f++)o=p?Tn(a,c,[r.value,f],!0):r.value,En(n,f,o);return n.length=f,n},Rn=ot("iterator"),An=!1;try{var _n=0,Fn={next:function(){return{done:!!_n++}},return:function(){An=!0}};Fn[Rn]=function(){return this},Array.from(Fn,(function(){throw 2}))}catch(e){}var Dn=function(e,t){if(!t&&!An)return!1;var n=!1;try{var r={};r[Rn]=function(){return{next:function(){return{done:n=!0}}}},e(r)}catch(e){}return n},On=!Dn((function(e){Array.from(e)}));De({target:"Array",stat:!0,forced:On},{from:Cn}),De({target:"Array",stat:!0},{isArray:Ge});var Mn=i((function(){function e(){}return!(Array.of.call(e)instanceof e)}));De({target:"Array",stat:!0,forced:Mn},{of:function(){for(var e=0,t=arguments.length,n=new("function"==typeof this?this:Array)(t);t>e;)En(n,e,arguments[e++]);return n.length=t,n}});var Ln=ot("species"),zn=function(e){return We>=51||!i((function(){var t=[];return(t.constructor={})[Ln]=function(){return{foo:1}},1!==t[e](Boolean).foo}))},Pn=ot("isConcatSpreadable"),Bn=9007199254740991,Wn="Maximum allowed index exceeded",Un=We>=51||!i((function(){var e=[];return e[Pn]=!1,e.concat()[0]!==e})),Vn=zn("concat"),Gn=function(e){if(!g(e))return!1;var t=e[Pn];return void 0!==t?!!t:Ge(e)};De({target:"Array",proto:!0,forced:!Un||!Vn},{concat:function(e){var t,n,r,a,i,o=je(this),s=vt(o,0),u=0;for(t=-1,r=arguments.length;t<r;t++)if(Gn(i=-1===t?o:arguments[t])){if(u+(a=pe(i.length))>Bn)throw TypeError(Wn);for(n=0;n<a;n++,u++)n in i&&En(s,u,i[n])}else{if(u>=Bn)throw TypeError(Wn);En(s,u++,i)}return s.length=u,s}});var jn=Math.min,Hn=[].copyWithin||function(e,t){var n=je(this),r=pe(n.length),a=de(e,r),i=de(t,r),o=arguments.length>2?arguments[2]:void 0,s=jn((void 0===o?r:de(o,r))-i,r-a),u=1;for(i<a&&a<i+s&&(u=-1,i+=s-1,a+=s-1);s-- >0;)i in n?n[a]=n[i]:delete n[a],a+=u,i+=u;return n},qn=ot("unscopables"),Kn=Array.prototype;null==Kn[qn]&&R.f(Kn,qn,{configurable:!0,value:Qe(null)});var Xn=function(e){Kn[qn][e]=!0};De({target:"Array",proto:!0},{copyWithin:Hn}),Xn("copyWithin");var Yn=function(e,t){var n=[][e];return!!n&&i((function(){n.call(null,t||function(){throw 1},1)}))},Jn=bt.every,Zn=Yn("every");De({target:"Array",proto:!0,forced:!Zn},{every:function(e){return Jn(this,e,arguments.length>1?arguments[1]:void 0)}});var Qn=function(e){for(var t=je(this),n=pe(t.length),r=arguments.length,a=de(r>1?arguments[1]:void 0,n),i=r>2?arguments[2]:void 0,o=void 0===i?n:de(i,n);o>a;)t[a++]=e;return t};De({target:"Array",proto:!0},{fill:Qn}),Xn("fill");var $n=bt.filter,er=zn("filter");De({target:"Array",proto:!0,forced:!er},{filter:function(e){return $n(this,e,arguments.length>1?arguments[1]:void 0)}});var tr=bt.find,nr="find",rr=!0;nr in[]&&Array(1).find((function(){rr=!1})),De({target:"Array",proto:!0,forced:rr},{find:function(e){return tr(this,e,arguments.length>1?arguments[1]:void 0)}}),Xn(nr);var ar=bt.findIndex,ir="findIndex",or=!0;ir in[]&&Array(1).findIndex((function(){or=!1})),De({target:"Array",proto:!0,forced:or},{findIndex:function(e){return ar(this,e,arguments.length>1?arguments[1]:void 0)}}),Xn(ir);var sr=function e(t,n,r,a,i,o,s,u){for(var l,c=i,p=0,h=!!s&&dt(s,u,3);p<a;){if(p in r){if(l=h?h(r[p],p,n):r[p],o>0&&Ge(l))c=e(t,n,l,pe(l.length),c,o-1)-1;else{if(c>=9007199254740991)throw TypeError("Exceed the acceptable array length");t[c]=l}c++}p++}return c};De({target:"Array",proto:!0},{flat:function(){var e=arguments.length?arguments[0]:void 0,t=je(this),n=pe(t.length),r=vt(t,0);return r.length=sr(r,t,t,n,0,void 0===e?1:le(e)),r}}),De({target:"Array",proto:!0},{flatMap:function(e){var t,n=je(this),r=pe(n.length);return ft(e),(t=vt(n,0)).length=sr(t,n,n,r,0,1,e,arguments.length>1?arguments[1]:void 0),t}});var ur=bt.forEach,lr=Yn("forEach")?[].forEach:function(e){return ur(this,e,arguments.length>1?arguments[1]:void 0)};De({target:"Array",proto:!0,forced:[].forEach!=lr},{forEach:lr});var cr=ve.includes;De({target:"Array",proto:!0},{includes:function(e){return cr(this,e,arguments.length>1?arguments[1]:void 0)}}),Xn("includes");var pr=ve.indexOf,hr=[].indexOf,fr=!!hr&&1/[1].indexOf(1,-0)<0,dr=Yn("indexOf");De({target:"Array",proto:!0,forced:fr||!dr},{indexOf:function(e){return fr?hr.apply(this,arguments)||0:pr(this,e,arguments.length>1?arguments[1]:void 0)}});var mr=[].join,vr=d!=Object,gr=Yn("join",",");De({target:"Array",proto:!0,forced:vr||!gr},{join:function(e){return mr.call(v(this),void 0===e?",":e)}});var yr=Math.min,br=[].lastIndexOf,xr=!!br&&1/[1].lastIndexOf(1,-0)<0,wr=Yn("lastIndexOf"),kr=xr||!wr?function(e){if(xr)return br.apply(this,arguments)||0;var t=v(this),n=pe(t.length),r=n-1;for(arguments.length>1&&(r=yr(r,le(arguments[1]))),r<0&&(r=n+r);r>=0;r--)if(r in t&&t[r]===e)return r||0;return-1}:br;De({target:"Array",proto:!0,forced:kr!==[].lastIndexOf},{lastIndexOf:kr});var Nr=bt.map,Ir=zn("map");De({target:"Array",proto:!0,forced:!Ir},{map:function(e){return Nr(this,e,arguments.length>1?arguments[1]:void 0)}});var Sr=function(e){return function(t,n,r,a){ft(n);var i=je(t),o=d(i),s=pe(i.length),u=e?s-1:0,l=e?-1:1;if(r<2)for(;;){if(u in o){a=o[u],u+=l;break}if(u+=l,e?u<0:s<=u)throw TypeError("Reduce of empty array with no initial value")}for(;e?u>=0:s>u;u+=l)u in o&&(a=n(a,o[u],u,i));return a}},Tr={left:Sr(!1),right:Sr(!0)},Er=Tr.left,Cr=Yn("reduce");De({target:"Array",proto:!0,forced:!Cr||!Oe&&We>79&&We<83},{reduce:function(e){return Er(this,e,arguments.length,arguments.length>1?arguments[1]:void 0)}});var Rr=Tr.right,Ar=Yn("reduceRight");De({target:"Array",proto:!0,forced:!Ar||!Oe&&We>79&&We<83},{reduceRight:function(e){return Rr(this,e,arguments.length,arguments.length>1?arguments[1]:void 0)}});var _r=[].reverse,Fr=[1,2];De({target:"Array",proto:!0,forced:String(Fr)===String(Fr.reverse())},{reverse:function(){return Ge(this)&&(this.length=this.length),_r.call(this)}});var Dr=zn("slice"),Or=ot("species"),Mr=[].slice,Lr=Math.max;De({target:"Array",proto:!0,forced:!Dr},{slice:function(e,t){var n,r,a,i=v(this),o=pe(i.length),s=de(e,o),u=de(void 0===t?o:t,o);if(Ge(i)&&("function"!=typeof(n=i.constructor)||n!==Array&&!Ge(n.prototype)?g(n)&&null===(n=n[Or])&&(n=void 0):n=void 0,n===Array||void 0===n))return Mr.call(i,s,u);for(r=new(void 0===n?Array:n)(Lr(u-s,0)),a=0;s<u;s++,a++)s in i&&En(r,a,i[s]);return r.length=a,r}});var zr=bt.some,Pr=Yn("some");De({target:"Array",proto:!0,forced:!Pr},{some:function(e){return zr(this,e,arguments.length>1?arguments[1]:void 0)}});var Br=[],Wr=Br.sort,Ur=i((function(){Br.sort(void 0)})),Vr=i((function(){Br.sort(null)})),Gr=Yn("sort");De({target:"Array",proto:!0,forced:Ur||!Vr||!Gr},{sort:function(e){return void 0===e?Wr.call(je(this)):Wr.call(je(this),ft(e))}});var jr=zn("splice"),Hr=Math.max,qr=Math.min,Kr=9007199254740991,Xr="Maximum allowed length exceeded";De({target:"Array",proto:!0,forced:!jr},{splice:function(e,t){var n,r,a,i,o,s,u=je(this),l=pe(u.length),c=de(e,l),p=arguments.length;if(0===p?n=r=0:1===p?(n=0,r=l-c):(n=p-2,r=qr(Hr(le(t),0),l-c)),l+n-r>Kr)throw TypeError(Xr);for(a=vt(u,r),i=0;i<r;i++)(o=c+i)in u&&En(a,i,u[o]);if(a.length=r,n<r){for(i=c;i<l-r;i++)s=i+n,(o=i+r)in u?u[s]=u[o]:delete u[s];for(i=l;i>l-r+n;i--)delete u[i-1]}else if(n>r)for(i=l-r;i>c;i--)s=i+n-1,(o=i+r-1)in u?u[s]=u[o]:delete u[s];for(i=0;i<n;i++)u[i+c]=arguments[i+2];return u.length=l-r+n,a}});var Yr=ot("species"),Jr=function(e){var t=oe(e),n=R.f;o&&t&&!t[Yr]&&n(t,Yr,{configurable:!0,get:function(){return this}})};Jr("Array"),Xn("flat"),Xn("flatMap");var Zr,Qr,$r,ea=ot("iterator"),ta=!1;[].keys&&("next"in($r=[].keys())?(Qr=un(un($r)))!==Object.prototype&&(Zr=Qr):ta=!0);var na=null==Zr||i((function(){var e={};return Zr[ea].call(e)!==e}));na&&(Zr={}),x(Zr,ea)||A(Zr,ea,(function(){return this}));var ra={IteratorPrototype:Zr,BUGGY_SAFARI_ITERATORS:ta},aa=ra.IteratorPrototype,ia=function(){return this},oa=function(e,t,n){var r=t+" Iterator";return e.prototype=Qe(aa,{next:c(1,n)}),ht(e,r,!1),pn[r]=ia,e},sa=ra.IteratorPrototype,ua=ra.BUGGY_SAFARI_ITERATORS,la=ot("iterator"),ca="keys",pa="values",ha="entries",fa=function(){return this},da=function(e,t,n,r,a,i,o){oa(n,t,r);var s,u,l,c=function(e){if(e===a&&m)return m;if(!ua&&e in f)return f[e];switch(e){case ca:case pa:case ha:return function(){return new n(this,e)}}return function(){return new n(this)}},p=t+" Iterator",h=!1,f=e.prototype,d=f[la]||f["@@iterator"]||a&&f[a],m=!ua&&d||c(a),v="Array"==t&&f.entries||d;if(v&&(s=un(v.call(new e)),sa!==Object.prototype&&s.next&&(un(s)!==sa&&(cn?cn(s,sa):"function"!=typeof s[la]&&A(s,la,fa)),ht(s,p,!0))),a==pa&&d&&d.name!==pa&&(h=!0,m=function(){return d.call(this)}),f[la]!==m&&A(f,la,m),pn[t]=m,a)if(u={values:c(pa),keys:i?m:c(ca),entries:c(ha)},o)for(l in u)(ua||h||!(l in f))&&re(f,l,u[l]);else De({target:t,proto:!0,forced:ua||h},u);return u},ma="Array Iterator",va=ne.set,ga=ne.getterFor(ma),ya=da(Array,"Array",(function(e,t){va(this,{type:ma,target:v(e),index:0,kind:t})}),(function(){var e=ga(this),t=e.target,n=e.kind,r=e.index++;return!t||r>=t.length?(e.target=void 0,{value:void 0,done:!0}):"keys"==n?{value:r,done:!1}:"values"==n?{value:t[r],done:!1}:{value:[r,t[r]],done:!1}}),"values");pn.Arguments=pn.Array,Xn("keys"),Xn("values"),Xn("entries");var ba=[].slice,xa={},wa=function(e,t,n){if(!(t in xa)){for(var r=[],a=0;a<t;a++)r[a]="a["+a+"]";xa[t]=Function("C,a","return new C("+r.join(",")+")")}return xa[t](e,n)},ka=Function.bind||function(e){var t=ft(this),n=ba.call(arguments,1),r=function(){var a=n.concat(ba.call(arguments));return this instanceof r?wa(t,a.length,a):t.apply(e,a)};return g(t.prototype)&&(r.prototype=t.prototype),r};De({target:"Function",proto:!0},{bind:ka});var Na=R.f,Ia=Function.prototype,Sa=Ia.toString,Ta=/^\s*function ([^ (]*)/,Ea="name";o&&!(Ea in Ia)&&Na(Ia,Ea,{configurable:!0,get:function(){try{return Sa.call(this).match(Ta)[1]}catch(e){return""}}});var Ca=ot("hasInstance"),Ra=Function.prototype;Ca in Ra||R.f(Ra,Ca,{value:function(e){if("function"!=typeof this||!g(e))return!1;if(!g(this.prototype))return e instanceof this;for(;e=un(e);)if(this.prototype===e)return!0;return!1}}),De({global:!0},{globalThis:a});var Aa=Object.assign,_a=Object.defineProperty,Fa=!Aa||i((function(){if(o&&1!==Aa({b:1},Aa(_a({},"a",{enumerable:!0,get:function(){_a(this,"b",{value:3,enumerable:!1})}}),{b:2})).b)return!0;var e={},t={},n=Symbol(),r="abcdefghijklmnopqrst";return e[n]=7,r.split("").forEach((function(e){t[e]=e})),7!=Aa({},e)[n]||He(Aa({},t)).join("")!=r}))?function(e,t){for(var n=je(e),r=arguments.length,a=1,i=ke.f,s=l.f;r>a;)for(var u,c=d(arguments[a++]),p=i?He(c).concat(i(c)):He(c),h=p.length,f=0;h>f;)u=p[f++],o&&!s.call(c,u)||(n[u]=c[u]);return n}:Aa;De({target:"Object",stat:!0,forced:Object.assign!==Fa},{assign:Fa}),De({target:"Object",stat:!0,sham:!o},{create:Qe}),De({target:"Object",stat:!0,forced:!o,sham:!o},{defineProperty:R.f}),De({target:"Object",stat:!0,forced:!o,sham:!o},{defineProperties:qe});var Da=l.f,Oa=function(e){return function(t){for(var n,r=v(t),a=He(r),i=a.length,s=0,u=[];i>s;)n=a[s++],o&&!Da.call(r,n)||u.push(e?[n,r[n]]:r[n]);return u}},Ma={entries:Oa(!0),values:Oa(!1)},La=Ma.entries;De({target:"Object",stat:!0},{entries:function(e){return La(e)}});var za=!i((function(){return Object.isExtensible(Object.preventExtensions({}))})),Pa=n((function(e){var t=R.f,n=j("meta"),r=0,a=Object.isExtensible||function(){return!0},i=function(e){t(e,n,{value:{objectID:"O"+ ++r,weakData:{}}})},o=e.exports={REQUIRED:!1,fastKey:function(e,t){if(!g(e))return"symbol"==typeof e?e:("string"==typeof e?"S":"P")+e;if(!x(e,n)){if(!a(e))return"F";if(!t)return"E";i(e)}return e[n].objectID},getWeakData:function(e,t){if(!x(e,n)){if(!a(e))return!0;if(!t)return!1;i(e)}return e[n].weakData},onFreeze:function(e){return za&&o.REQUIRED&&a(e)&&!x(e,n)&&i(e),e}};K[n]=!0})),Ba=(Pa.REQUIRED,Pa.fastKey,Pa.getWeakData,Pa.onFreeze,Pa.onFreeze),Wa=Object.freeze,Ua=i((function(){Wa(1)}));De({target:"Object",stat:!0,forced:Ua,sham:!za},{freeze:function(e){return Wa&&g(e)?Wa(Ba(e)):e}}),De({target:"Object",stat:!0},{fromEntries:function(e){var t={};return In(e,(function(e,n){En(t,e,n)}),{AS_ENTRIES:!0}),t}});var Va=T.f,Ga=i((function(){Va(1)}));De({target:"Object",stat:!0,forced:!o||Ga,sham:!o},{getOwnPropertyDescriptor:function(e,t){return Va(v(e),t)}}),De({target:"Object",stat:!0,sham:!o},{getOwnPropertyDescriptors:function(e){for(var t,n,r=v(e),a=T.f,i=Ne(r),o={},s=0;i.length>s;)void 0!==(n=a(r,t=i[s++]))&&En(o,t,n);return o}});var ja=nt.f,Ha=i((function(){return!Object.getOwnPropertyNames(1)}));De({target:"Object",stat:!0,forced:Ha},{getOwnPropertyNames:ja});var qa=i((function(){un(1)}));De({target:"Object",stat:!0,forced:qa,sham:!an},{getPrototypeOf:function(e){return un(je(e))}});var Ka=Object.is||function(e,t){return e===t?0!==e||1/e==1/t:e!=e&&t!=t};De({target:"Object",stat:!0},{is:Ka});var Xa=Object.isExtensible,Ya=i((function(){Xa(1)}));De({target:"Object",stat:!0,forced:Ya},{isExtensible:function(e){return!!g(e)&&(!Xa||Xa(e))}});var Ja=Object.isFrozen,Za=i((function(){Ja(1)}));De({target:"Object",stat:!0,forced:Za},{isFrozen:function(e){return!g(e)||!!Ja&&Ja(e)}});var Qa=Object.isSealed,$a=i((function(){Qa(1)}));De({target:"Object",stat:!0,forced:$a},{isSealed:function(e){return!g(e)||!!Qa&&Qa(e)}});var ei=i((function(){He(1)}));De({target:"Object",stat:!0,forced:ei},{keys:function(e){return He(je(e))}});var ti=Pa.onFreeze,ni=Object.preventExtensions,ri=i((function(){ni(1)}));De({target:"Object",stat:!0,forced:ri,sham:!za},{preventExtensions:function(e){return ni&&g(e)?ni(ti(e)):e}});var ai=Pa.onFreeze,ii=Object.seal,oi=i((function(){ii(1)}));De({target:"Object",stat:!0,forced:oi,sham:!za},{seal:function(e){return ii&&g(e)?ii(ai(e)):e}}),De({target:"Object",stat:!0},{setPrototypeOf:cn});var si=Ma.values;De({target:"Object",stat:!0},{values:function(e){return si(e)}});var ui=vn?{}.toString:function(){return"[object "+bn(this)+"]"};vn||re(Object.prototype,"toString",ui,{unsafe:!0});var li=!i((function(){var e=Math.random();__defineSetter__.call(null,e,(function(){})),delete a[e]}));o&&De({target:"Object",proto:!0,forced:li},{__defineGetter__:function(e,t){R.f(je(this),e,{get:ft(t),enumerable:!0,configurable:!0})}}),o&&De({target:"Object",proto:!0,forced:li},{__defineSetter__:function(e,t){R.f(je(this),e,{set:ft(t),enumerable:!0,configurable:!0})}});var ci=T.f;o&&De({target:"Object",proto:!0,forced:li},{__lookupGetter__:function(e){var t,n=je(this),r=y(e,!0);do{if(t=ci(n,r))return t.get}while(n=un(n))}});var pi=T.f;o&&De({target:"Object",proto:!0,forced:li},{__lookupSetter__:function(e){var t,n=je(this),r=y(e,!0);do{if(t=pi(n,r))return t.set}while(n=un(n))}});var hi=String.fromCharCode,fi=String.fromCodePoint,di=!!fi&&1!=fi.length;De({target:"String",stat:!0,forced:di},{fromCodePoint:function(e){for(var t,n=[],r=arguments.length,a=0;r>a;){if(t=+arguments[a++],de(t,1114111)!==t)throw RangeError(t+" is not a valid code point");n.push(t<65536?hi(t):hi(55296+((t-=65536)>>10),t%1024+56320))}return n.join("")}}),De({target:"String",stat:!0},{raw:function(e){for(var t=v(e.raw),n=pe(t.length),r=arguments.length,a=[],i=0;n>i;)a.push(String(t[i++])),i<r&&a.push(String(arguments[i]));return a.join("")}});var mi=function(e){return function(t,n){var r,a,i=String(m(t)),o=le(n),s=i.length;return o<0||o>=s?e?"":void 0:(r=i.charCodeAt(o))<55296||r>56319||o+1===s||(a=i.charCodeAt(o+1))<56320||a>57343?e?i.charAt(o):r:e?i.slice(o,o+2):a-56320+(r-55296<<10)+65536}},vi={codeAt:mi(!1),charAt:mi(!0)},gi=vi.codeAt;De({target:"String",proto:!0},{codePointAt:function(e){return gi(this,e)}});var yi,bi=ot("match"),xi=function(e){var t;return g(e)&&(void 0!==(t=e[bi])?!!t:"RegExp"==h(e))},wi=function(e){if(xi(e))throw TypeError("The method doesn't accept regular expressions");return e},ki=ot("match"),Ni=function(e){var t=/./;try{"/./"[e](t)}catch(n){try{return t[ki]=!1,"/./"[e](t)}catch(e){}}return!1},Ii=T.f,Si="".endsWith,Ti=Math.min,Ei=Ni("endsWith"),Ci=!(Ei||(yi=Ii(String.prototype,"endsWith"),!yi||yi.writable));De({target:"String",proto:!0,forced:!Ci&&!Ei},{endsWith:function(e){var t=String(m(this));wi(e);var n=arguments.length>1?arguments[1]:void 0,r=pe(t.length),a=void 0===n?r:Ti(pe(n),r),i=String(e);return Si?Si.call(t,i,a):t.slice(a-i.length,a)===i}}),De({target:"String",proto:!0,forced:!Ni("includes")},{includes:function(e){return!!~String(m(this)).indexOf(wi(e),arguments.length>1?arguments[1]:void 0)}});var Ri=function(){var e=E(this),t="";return e.global&&(t+="g"),e.ignoreCase&&(t+="i"),e.multiline&&(t+="m"),e.dotAll&&(t+="s"),e.unicode&&(t+="u"),e.sticky&&(t+="y"),t};function Ai(e,t){return RegExp(e,t)}var _i={UNSUPPORTED_Y:i((function(){var e=Ai("a","y");return e.lastIndex=2,null!=e.exec("abcd")})),BROKEN_CARET:i((function(){var e=Ai("^r","gy");return e.lastIndex=2,null!=e.exec("str")}))},Fi=RegExp.prototype.exec,Di=String.prototype.replace,Oi=Fi,Mi=function(){var e=/a/,t=/b*/g;return Fi.call(e,"a"),Fi.call(t,"a"),0!==e.lastIndex||0!==t.lastIndex}(),Li=_i.UNSUPPORTED_Y||_i.BROKEN_CARET,zi=void 0!==/()??/.exec("")[1];(Mi||zi||Li)&&(Oi=function(e){var t,n,r,a,i=this,o=Li&&i.sticky,s=Ri.call(i),u=i.source,l=0,c=e;return o&&(-1===(s=s.replace("y","")).indexOf("g")&&(s+="g"),c=String(e).slice(i.lastIndex),i.lastIndex>0&&(!i.multiline||i.multiline&&"\n"!==e[i.lastIndex-1])&&(u="(?: "+u+")",c=" "+c,l++),n=new RegExp("^(?:"+u+")",s)),zi&&(n=new RegExp("^"+u+"$(?!\\s)",s)),Mi&&(t=i.lastIndex),r=Fi.call(o?n:i,c),o?r?(r.input=r.input.slice(l),r[0]=r[0].slice(l),r.index=i.lastIndex,i.lastIndex+=r[0].length):i.lastIndex=0:Mi&&r&&(i.lastIndex=i.global?r.index+r[0].length:t),zi&&r&&r.length>1&&Di.call(r[0],n,(function(){for(a=1;a<arguments.length-2;a++)void 0===arguments[a]&&(r[a]=void 0)})),r});var Pi=Oi;De({target:"RegExp",proto:!0,forced:/./.exec!==Pi},{exec:Pi});var Bi=ot("species"),Wi=!i((function(){var e=/./;return e.exec=function(){var e=[];return e.groups={a:"7"},e},"7"!=="".replace(e,"$<a>")})),Ui="$0"==="a".replace(/./,"$0"),Vi=ot("replace"),Gi=!!/./[Vi]&&""===/./[Vi]("a","$0"),ji=!i((function(){var e=/(?:)/,t=e.exec;e.exec=function(){return t.apply(this,arguments)};var n="ab".split(e);return 2!==n.length||"a"!==n[0]||"b"!==n[1]})),Hi=function(e,t,n,r){var a=ot(e),o=!i((function(){var t={};return t[a]=function(){return 7},7!=""[e](t)})),s=o&&!i((function(){var t=!1,n=/a/;return"split"===e&&((n={}).constructor={},n.constructor[Bi]=function(){return n},n.flags="",n[a]=/./[a]),n.exec=function(){return t=!0,null},n[a](""),!t}));if(!o||!s||"replace"===e&&(!Wi||!Ui||Gi)||"split"===e&&!ji){var u=/./[a],l=n(a,""[e],(function(e,t,n,r,a){return t.exec===Pi?o&&!a?{done:!0,value:u.call(t,n,r)}:{done:!0,value:e.call(n,t,r)}:{done:!1}}),{REPLACE_KEEPS_$0:Ui,REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE:Gi}),c=l[0],p=l[1];re(String.prototype,e,c),re(RegExp.prototype,a,2==t?function(e,t){return p.call(e,this,t)}:function(e){return p.call(e,this)})}r&&A(RegExp.prototype[a],"sham",!0)},qi=vi.charAt,Ki=function(e,t,n){return t+(n?qi(e,t).length:1)},Xi=function(e,t){var n=e.exec;if("function"==typeof n){var r=n.call(e,t);if("object"!=typeof r)throw TypeError("RegExp exec method returned something other than an Object or null");return r}if("RegExp"!==h(e))throw TypeError("RegExp#exec called on incompatible receiver");return Pi.call(e,t)};Hi("match",1,(function(e,t,n){return[function(t){var n=m(this),r=null==t?void 0:t[e];return void 0!==r?r.call(t,n):new RegExp(t)[e](String(n))},function(e){var r=n(t,e,this);if(r.done)return r.value;var a=E(e),i=String(this);if(!a.global)return Xi(a,i);var o=a.unicode;a.lastIndex=0;for(var s,u=[],l=0;null!==(s=Xi(a,i));){var c=String(s[0]);u[l]=c,""===c&&(a.lastIndex=Ki(i,pe(a.lastIndex),o)),l++}return 0===l?null:u}]}));var Yi=ot("species"),Ji=function(e,t){var n,r=E(e).constructor;return void 0===r||null==(n=E(r)[Yi])?t:ft(n)},Zi=ot("matchAll"),Qi="RegExp String",$i="RegExp String Iterator",eo=ne.set,to=ne.getterFor($i),no=RegExp.prototype,ro=no.exec,ao="".matchAll,io=!!ao&&!i((function(){"a".matchAll(/./)})),oo=oa((function(e,t,n,r){eo(this,{type:$i,regexp:e,string:t,global:n,unicode:r,done:!1})}),Qi,(function(){var e=to(this);if(e.done)return{value:void 0,done:!0};var t=e.regexp,n=e.string,r=function(e,t){var n,r=e.exec;if("function"==typeof r){if("object"!=typeof(n=r.call(e,t)))throw TypeError("Incorrect exec result");return n}return ro.call(e,t)}(t,n);return null===r?{value:void 0,done:e.done=!0}:e.global?(""==String(r[0])&&(t.lastIndex=Ki(n,pe(t.lastIndex),e.unicode)),{value:r,done:!1}):(e.done=!0,{value:r,done:!1})})),so=function(e){var t,n,r,a,i,o,s=E(this),u=String(e);return t=Ji(s,RegExp),void 0===(n=s.flags)&&s instanceof RegExp&&!("flags"in no)&&(n=Ri.call(s)),r=void 0===n?"":String(n),a=new t(t===RegExp?s.source:s,r),i=!!~r.indexOf("g"),o=!!~r.indexOf("u"),a.lastIndex=pe(s.lastIndex),new oo(a,u,i,o)};De({target:"String",proto:!0,forced:io},{matchAll:function(e){var t,n,r=m(this);if(null!=e){if(xi(e)&&!~String(m("flags"in no?e.flags:Ri.call(e))).indexOf("g"))throw TypeError("`.matchAll` does not allow non-global regexes");if(io)return ao.apply(r,arguments);if(null!=(n=e[Zi]))return ft(n).call(e,r)}else if(io)return ao.apply(r,arguments);return t=String(r),new RegExp(e,"g")[Zi](t)}}),Zi in no||A(no,Zi,so);var uo="".repeat||function(e){var t=String(m(this)),n="",r=le(e);if(r<0||r==1/0)throw RangeError("Wrong number of repetitions");for(;r>0;(r>>>=1)&&(t+=t))1&r&&(n+=t);return n},lo=Math.ceil,co=function(e){return function(t,n,r){var a,i,o=String(m(t)),s=o.length,u=void 0===r?" ":String(r),l=pe(n);return l<=s||""==u?o:(a=l-s,(i=uo.call(u,lo(a/u.length))).length>a&&(i=i.slice(0,a)),e?o+i:i+o)}},po={start:co(!1),end:co(!0)},ho=/Version\/10\.\d+(\.\d+)?( Mobile\/\w+)? Safari\//.test(Me),fo=po.end;De({target:"String",proto:!0,forced:ho},{padEnd:function(e){return fo(this,e,arguments.length>1?arguments[1]:void 0)}});var mo=po.start;De({target:"String",proto:!0,forced:ho},{padStart:function(e){return mo(this,e,arguments.length>1?arguments[1]:void 0)}}),De({target:"String",proto:!0},{repeat:uo});var vo=Math.floor,go="".replace,yo=/\$([$&'`]|\d{1,2}|<[^>]*>)/g,bo=/\$([$&'`]|\d{1,2})/g,xo=function(e,t,n,r,a,i){var o=n+e.length,s=r.length,u=bo;return void 0!==a&&(a=je(a),u=yo),go.call(i,u,(function(i,u){var l;switch(u.charAt(0)){case"$":return"$";case"&":return e;case"`":return t.slice(0,n);case"'":return t.slice(o);case"<":l=a[u.slice(1,-1)];break;default:var c=+u;if(0===c)return i;if(c>s){var p=vo(c/10);return 0===p?i:p<=s?void 0===r[p-1]?u.charAt(1):r[p-1]+u.charAt(1):i}l=r[c-1]}return void 0===l?"":l}))},wo=Math.max,ko=Math.min;Hi("replace",2,(function(e,t,n,r){var a=r.REGEXP_REPLACE_SUBSTITUTES_UNDEFINED_CAPTURE,i=r.REPLACE_KEEPS_$0,o=a?"$":"$0";return[function(n,r){var a=m(this),i=null==n?void 0:n[e];return void 0!==i?i.call(n,a,r):t.call(String(a),n,r)},function(e,r){if(!a&&i||"string"==typeof r&&-1===r.indexOf(o)){var s=n(t,e,this,r);if(s.done)return s.value}var u=E(e),l=String(this),c="function"==typeof r;c||(r=String(r));var p=u.global;if(p){var h=u.unicode;u.lastIndex=0}for(var f=[];;){var d=Xi(u,l);if(null===d)break;if(f.push(d),!p)break;""===String(d[0])&&(u.lastIndex=Ki(l,pe(u.lastIndex),h))}for(var m,v="",g=0,y=0;y<f.length;y++){d=f[y];for(var b=String(d[0]),x=wo(ko(le(d.index),l.length),0),w=[],k=1;k<d.length;k++)w.push(void 0===(m=d[k])?m:String(m));var N=d.groups;if(c){var I=[b].concat(w,x,l);void 0!==N&&I.push(N);var S=String(r.apply(void 0,I))}else S=xo(b,l,x,w,N,r);x>=g&&(v+=l.slice(g,x)+S,g=x+b.length)}return v+l.slice(g)}]})),Hi("search",1,(function(e,t,n){return[function(t){var n=m(this),r=null==t?void 0:t[e];return void 0!==r?r.call(t,n):new RegExp(t)[e](String(n))},function(e){var r=n(t,e,this);if(r.done)return r.value;var a=E(e),i=String(this),o=a.lastIndex;Ka(o,0)||(a.lastIndex=0);var s=Xi(a,i);return Ka(a.lastIndex,o)||(a.lastIndex=o),null===s?-1:s.index}]}));var No=[].push,Io=Math.min,So=4294967295,To=!i((function(){return!RegExp(So,"y")}));Hi("split",2,(function(e,t,n){var r;return r="c"=="abbc".split(/(b)*/)[1]||4!="test".split(/(?:)/,-1).length||2!="ab".split(/(?:ab)*/).length||4!=".".split(/(.?)(.?)/).length||".".split(/()()/).length>1||"".split(/.?/).length?function(e,n){var r=String(m(this)),a=void 0===n?So:n>>>0;if(0===a)return[];if(void 0===e)return[r];if(!xi(e))return t.call(r,e,a);for(var i,o,s,u=[],l=(e.ignoreCase?"i":"")+(e.multiline?"m":"")+(e.unicode?"u":"")+(e.sticky?"y":""),c=0,p=new RegExp(e.source,l+"g");(i=Pi.call(p,r))&&!((o=p.lastIndex)>c&&(u.push(r.slice(c,i.index)),i.length>1&&i.index<r.length&&No.apply(u,i.slice(1)),s=i[0].length,c=o,u.length>=a));)p.lastIndex===i.index&&p.lastIndex++;return c===r.length?!s&&p.test("")||u.push(""):u.push(r.slice(c)),u.length>a?u.slice(0,a):u}:"0".split(void 0,0).length?function(e,n){return void 0===e&&0===n?[]:t.call(this,e,n)}:t,[function(t,n){var a=m(this),i=null==t?void 0:t[e];return void 0!==i?i.call(t,a,n):r.call(String(a),t,n)},function(e,a){var i=n(r,e,this,a,r!==t);if(i.done)return i.value;var o=E(e),s=String(this),u=Ji(o,RegExp),l=o.unicode,c=(o.ignoreCase?"i":"")+(o.multiline?"m":"")+(o.unicode?"u":"")+(To?"y":"g"),p=new u(To?o:"^(?:"+o.source+")",c),h=void 0===a?So:a>>>0;if(0===h)return[];if(0===s.length)return null===Xi(p,s)?[s]:[];for(var f=0,d=0,m=[];d<s.length;){p.lastIndex=To?d:0;var v,g=Xi(p,To?s:s.slice(d));if(null===g||(v=Io(pe(p.lastIndex+(To?0:d)),s.length))===f)d=Ki(s,d,l);else{if(m.push(s.slice(f,d)),m.length===h)return m;for(var y=1;y<=g.length-1;y++)if(m.push(g[y]),m.length===h)return m;d=f=v}}return m.push(s.slice(f)),m}]}),!To);var Eo=T.f,Co="".startsWith,Ro=Math.min,Ao=Ni("startsWith"),_o=!Ao&&!!function(){var e=Eo(String.prototype,"startsWith");return e&&!e.writable}();De({target:"String",proto:!0,forced:!_o&&!Ao},{startsWith:function(e){var t=String(m(this));wi(e);var n=pe(Ro(arguments.length>1?arguments[1]:void 0,t.length)),r=String(e);return Co?Co.call(t,r,n):t.slice(n,n+r.length)===r}});var Fo="\t\n\v\f\r                　\u2028\u2029\ufeff",Do="["+Fo+"]",Oo=RegExp("^"+Do+Do+"*"),Mo=RegExp(Do+Do+"*$"),Lo=function(e){return function(t){var n=String(m(t));return 1&e&&(n=n.replace(Oo,"")),2&e&&(n=n.replace(Mo,"")),n}},zo={start:Lo(1),end:Lo(2),trim:Lo(3)},Po=function(e){return i((function(){return!!Fo[e]()||"​…᠎"!="​…᠎"[e]()||Fo[e].name!==e}))},Bo=zo.trim;De({target:"String",proto:!0,forced:Po("trim")},{trim:function(){return Bo(this)}});var Wo=zo.start,Uo=Po("trimStart"),Vo=Uo?function(){return Wo(this)}:"".trimStart;De({target:"String",proto:!0,forced:Uo},{trimStart:Vo,trimLeft:Vo});var Go=zo.end,jo=Po("trimEnd"),Ho=jo?function(){return Go(this)}:"".trimEnd;De({target:"String",proto:!0,forced:jo},{trimEnd:Ho,trimRight:Ho});var qo=vi.charAt,Ko="String Iterator",Xo=ne.set,Yo=ne.getterFor(Ko);da(String,"String",(function(e){Xo(this,{type:Ko,string:String(e),index:0})}),(function(){var e,t=Yo(this),n=t.string,r=t.index;return r>=n.length?{value:void 0,done:!0}:(e=qo(n,r),t.index+=e.length,{value:e,done:!1})}));var Jo=/"/g,Zo=function(e,t,n,r){var a=String(m(e)),i="<"+t;return""!==n&&(i+=" "+n+'="'+String(r).replace(Jo,"&quot;")+'"'),i+">"+a+"</"+t+">"},Qo=function(e){return i((function(){var t=""[e]('"');return t!==t.toLowerCase()||t.split('"').length>3}))};De({target:"String",proto:!0,forced:Qo("anchor")},{anchor:function(e){return Zo(this,"a","name",e)}}),De({target:"String",proto:!0,forced:Qo("big")},{big:function(){return Zo(this,"big","","")}}),De({target:"String",proto:!0,forced:Qo("blink")},{blink:function(){return Zo(this,"blink","","")}}),De({target:"String",proto:!0,forced:Qo("bold")},{bold:function(){return Zo(this,"b","","")}}),De({target:"String",proto:!0,forced:Qo("fixed")},{fixed:function(){return Zo(this,"tt","","")}}),De({target:"String",proto:!0,forced:Qo("fontcolor")},{fontcolor:function(e){return Zo(this,"font","color",e)}}),De({target:"String",proto:!0,forced:Qo("fontsize")},{fontsize:function(e){return Zo(this,"font","size",e)}}),De({target:"String",proto:!0,forced:Qo("italics")},{italics:function(){return Zo(this,"i","","")}}),De({target:"String",proto:!0,forced:Qo("link")},{link:function(e){return Zo(this,"a","href",e)}}),De({target:"String",proto:!0,forced:Qo("small")},{small:function(){return Zo(this,"small","","")}}),De({target:"String",proto:!0,forced:Qo("strike")},{strike:function(){return Zo(this,"strike","","")}}),De({target:"String",proto:!0,forced:Qo("sub")},{sub:function(){return Zo(this,"sub","","")}}),De({target:"String",proto:!0,forced:Qo("sup")},{sup:function(){return Zo(this,"sup","","")}});var $o=ot("replace"),es=RegExp.prototype,ts=Math.max,ns=function(e,t,n){return n>e.length?-1:""===t?n:e.indexOf(t,n)};De({target:"String",proto:!0},{replaceAll:function(e,t){var n,r,a,i,o,s,u,l=m(this),c=0,p=0,h="";if(null!=e){if(xi(e)&&!~String(m("flags"in es?e.flags:Ri.call(e))).indexOf("g"))throw TypeError("`.replaceAll` does not allow non-global regexes");if(void 0!==(n=e[$o]))return n.call(e,l,t)}for(r=String(l),a=String(e),(i="function"==typeof t)||(t=String(t)),o=a.length,s=ts(1,o),c=ns(r,a,0);-1!==c;)u=i?String(t(a,c,r)):xo(a,r,c,[],void 0,t),h+=r.slice(p,c)+u,p=c+o,c=ns(r,a,c+s);return p<r.length&&(h+=r.slice(p)),h}});var rs=function(e,t,n){var r,a;return cn&&"function"==typeof(r=t.constructor)&&r!==n&&g(a=r.prototype)&&a!==n.prototype&&cn(e,a),e},as=R.f,is=we.f,os=ne.set,ss=ot("match"),us=a.RegExp,ls=us.prototype,cs=/a/g,ps=/a/g,hs=new us(cs)!==cs,fs=_i.UNSUPPORTED_Y;if(o&&_e("RegExp",!hs||fs||i((function(){return ps[ss]=!1,us(cs)!=cs||us(ps)==ps||"/a/i"!=us(cs,"i")})))){for(var ds=function(e,t){var n,r=this instanceof ds,a=xi(e),i=void 0===t;if(!r&&a&&e.constructor===ds&&i)return e;hs?a&&!i&&(e=e.source):e instanceof ds&&(i&&(t=Ri.call(e)),e=e.source),fs&&(n=!!t&&t.indexOf("y")>-1)&&(t=t.replace(/y/g,""));var o=rs(hs?new us(e,t):us(e,t),r?this:ls,ds);return fs&&n&&os(o,{sticky:n}),o},ms=function(e){e in ds||as(ds,e,{configurable:!0,get:function(){return us[e]},set:function(t){us[e]=t}})},vs=is(us),gs=0;vs.length>gs;)ms(vs[gs++]);ls.constructor=ds,ds.prototype=ls,re(a,"RegExp",ds)}Jr("RegExp"),o&&("g"!=/./g.flags||_i.UNSUPPORTED_Y)&&R.f(RegExp.prototype,"flags",{configurable:!0,get:Ri});var ys=_i.UNSUPPORTED_Y,bs=R.f,xs=ne.get,ws=RegExp.prototype;o&&ys&&bs(RegExp.prototype,"sticky",{configurable:!0,get:function(){if(this!==ws){if(this instanceof RegExp)return!!xs(this).sticky;throw TypeError("Incompatible receiver, RegExp required")}}});var ks=function(){var e=!1,t=/[ac]/;return t.exec=function(){return e=!0,/./.exec.apply(this,arguments)},!0===t.test("abc")&&e}(),Ns=/./.test;De({target:"RegExp",proto:!0,forced:!ks},{test:function(e){if("function"!=typeof this.exec)return Ns.call(this,e);var t=this.exec(e);if(null!==t&&!g(t))throw new Error("RegExp exec method returned something other than an Object or null");return!!t}});var Is="toString",Ss=RegExp.prototype,Ts=Ss.toString,Es=i((function(){return"/a/b"!=Ts.call({source:"a",flags:"b"})})),Cs=Ts.name!=Is;(Es||Cs)&&re(RegExp.prototype,Is,(function(){var e=E(this),t=String(e.source),n=e.flags;return"/"+t+"/"+String(void 0===n&&e instanceof RegExp&&!("flags"in Ss)?Ri.call(e):n)}),{unsafe:!0});var Rs=zo.trim,As=a.parseInt,_s=/^[+-]?0[Xx]/,Fs=8!==As(Fo+"08")||22!==As(Fo+"0x16")?function(e,t){var n=Rs(String(e));return As(n,t>>>0||(_s.test(n)?16:10))}:As;De({global:!0,forced:parseInt!=Fs},{parseInt:Fs});var Ds=zo.trim,Os=a.parseFloat,Ms=1/Os(Fo+"-0")!=-1/0?function(e){var t=Ds(String(e)),n=Os(t);return 0===n&&"-"==t.charAt(0)?-0:n}:Os;De({global:!0,forced:parseFloat!=Ms},{parseFloat:Ms});var Ls=we.f,zs=T.f,Ps=R.f,Bs=zo.trim,Ws="Number",Us=a.Number,Vs=Us.prototype,Gs=h(Qe(Vs))==Ws,js=function(e){var t,n,r,a,i,o,s,u,l=y(e,!1);if("string"==typeof l&&l.length>2)if(43===(t=(l=Bs(l)).charCodeAt(0))||45===t){if(88===(n=l.charCodeAt(2))||120===n)return NaN}else if(48===t){switch(l.charCodeAt(1)){case 66:case 98:r=2,a=49;break;case 79:case 111:r=8,a=55;break;default:return+l}for(o=(i=l.slice(2)).length,s=0;s<o;s++)if((u=i.charCodeAt(s))<48||u>a)return NaN;return parseInt(i,r)}return+l};if(_e(Ws,!Us(" 0o1")||!Us("0b1")||Us("+0x1"))){for(var Hs,qs=function(e){var t=arguments.length<1?0:e,n=this;return n instanceof qs&&(Gs?i((function(){Vs.valueOf.call(n)})):h(n)!=Ws)?rs(new Us(js(t)),n,qs):js(t)},Ks=o?Ls(Us):"MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger,fromString,range".split(","),Xs=0;Ks.length>Xs;Xs++)x(Us,Hs=Ks[Xs])&&!x(qs,Hs)&&Ps(qs,Hs,zs(Us,Hs));qs.prototype=Vs,Vs.constructor=qs,re(a,Ws,qs)}De({target:"Number",stat:!0},{EPSILON:Math.pow(2,-52)});var Ys=a.isFinite,Js=Number.isFinite||function(e){return"number"==typeof e&&Ys(e)};De({target:"Number",stat:!0},{isFinite:Js});var Zs=Math.floor,Qs=function(e){return!g(e)&&isFinite(e)&&Zs(e)===e};De({target:"Number",stat:!0},{isInteger:Qs}),De({target:"Number",stat:!0},{isNaN:function(e){return e!=e}});var $s=Math.abs;De({target:"Number",stat:!0},{isSafeInteger:function(e){return Qs(e)&&$s(e)<=9007199254740991}}),De({target:"Number",stat:!0},{MAX_SAFE_INTEGER:9007199254740991}),De({target:"Number",stat:!0},{MIN_SAFE_INTEGER:-9007199254740991}),De({target:"Number",stat:!0,forced:Number.parseFloat!=Ms},{parseFloat:Ms}),De({target:"Number",stat:!0,forced:Number.parseInt!=Fs},{parseInt:Fs});var eu=function(e){if("number"!=typeof e&&"Number"!=h(e))throw TypeError("Incorrect invocation");return+e},tu=1..toFixed,nu=Math.floor,ru=function e(t,n,r){return 0===n?r:n%2==1?e(t,n-1,r*t):e(t*t,n/2,r)},au=function(e,t,n){for(var r=-1,a=n;++r<6;)a+=t*e[r],e[r]=a%1e7,a=nu(a/1e7)},iu=function(e,t){for(var n=6,r=0;--n>=0;)r+=e[n],e[n]=nu(r/t),r=r%t*1e7},ou=function(e){for(var t=6,n="";--t>=0;)if(""!==n||0===t||0!==e[t]){var r=String(e[t]);n=""===n?r:n+uo.call("0",7-r.length)+r}return n},su=tu&&("0.000"!==8e-5.toFixed(3)||"1"!==.9.toFixed(0)||"1.25"!==1.255.toFixed(2)||"1000000000000000128"!==(0xde0b6b3a7640080).toFixed(0))||!i((function(){tu.call({})}));De({target:"Number",proto:!0,forced:su},{toFixed:function(e){var t,n,r,a,i=eu(this),o=le(e),s=[0,0,0,0,0,0],u="",l="0";if(o<0||o>20)throw RangeError("Incorrect fraction digits");if(i!=i)return"NaN";if(i<=-1e21||i>=1e21)return String(i);if(i<0&&(u="-",i=-i),i>1e-21)if(n=(t=function(e){for(var t=0,n=e;n>=4096;)t+=12,n/=4096;for(;n>=2;)t+=1,n/=2;return t}(i*ru(2,69,1))-69)<0?i*ru(2,-t,1):i/ru(2,t,1),n*=4503599627370496,(t=52-t)>0){for(au(s,0,n),r=o;r>=7;)au(s,1e7,0),r-=7;for(au(s,ru(10,r,1),0),r=t-1;r>=23;)iu(s,1<<23),r-=23;iu(s,1<<r),au(s,1,1),iu(s,2),l=ou(s)}else au(s,0,n),au(s,1<<-t,0),l=ou(s)+uo.call("0",o);return l=o>0?u+((a=l.length)<=o?"0."+uo.call("0",o-a)+l:l.slice(0,a-o)+"."+l.slice(a-o)):u+l}});var uu=1..toPrecision,lu=i((function(){return"1"!==uu.call(1,void 0)}))||!i((function(){uu.call({})}));De({target:"Number",proto:!0,forced:lu},{toPrecision:function(e){return void 0===e?uu.call(eu(this)):uu.call(eu(this),e)}});var cu=Math.log,pu=Math.log1p||function(e){return(e=+e)>-1e-8&&e<1e-8?e-e*e/2:cu(1+e)},hu=Math.acosh,fu=Math.log,du=Math.sqrt,mu=Math.LN2,vu=!hu||710!=Math.floor(hu(Number.MAX_VALUE))||hu(1/0)!=1/0;De({target:"Math",stat:!0,forced:vu},{acosh:function(e){return(e=+e)<1?NaN:e>94906265.62425156?fu(e)+mu:pu(e-1+du(e-1)*du(e+1))}});var gu=Math.asinh,yu=Math.log,bu=Math.sqrt;De({target:"Math",stat:!0,forced:!(gu&&1/gu(0)>0)},{asinh:function e(t){return isFinite(t=+t)&&0!=t?t<0?-e(-t):yu(t+bu(t*t+1)):t}});var xu=Math.atanh,wu=Math.log;De({target:"Math",stat:!0,forced:!(xu&&1/xu(-0)<0)},{atanh:function(e){return 0==(e=+e)?e:wu((1+e)/(1-e))/2}});var ku=Math.sign||function(e){return 0==(e=+e)||e!=e?e:e<0?-1:1},Nu=Math.abs,Iu=Math.pow;De({target:"Math",stat:!0},{cbrt:function(e){return ku(e=+e)*Iu(Nu(e),1/3)}});var Su=Math.floor,Tu=Math.log,Eu=Math.LOG2E;De({target:"Math",stat:!0},{clz32:function(e){return(e>>>=0)?31-Su(Tu(e+.5)*Eu):32}});var Cu=Math.expm1,Ru=Math.exp,Au=!Cu||Cu(10)>22025.465794806718||Cu(10)<22025.465794806718||-2e-17!=Cu(-2e-17)?function(e){return 0==(e=+e)?e:e>-1e-6&&e<1e-6?e+e*e/2:Ru(e)-1}:Cu,_u=Math.cosh,Fu=Math.abs,Du=Math.E;De({target:"Math",stat:!0,forced:!_u||_u(710)===1/0},{cosh:function(e){var t=Au(Fu(e)-1)+1;return(t+1/(t*Du*Du))*(Du/2)}}),De({target:"Math",stat:!0,forced:Au!=Math.expm1},{expm1:Au});var Ou=Math.abs,Mu=Math.pow,Lu=Mu(2,-52),zu=Mu(2,-23),Pu=Mu(2,127)*(2-zu),Bu=Mu(2,-126),Wu=Math.fround||function(e){var t,n,r=Ou(e),a=ku(e);return r<Bu?a*(r/Bu/zu+1/Lu-1/Lu)*Bu*zu:(n=(t=(1+zu/Lu)*r)-(t-r))>Pu||n!=n?a*(1/0):a*n};De({target:"Math",stat:!0},{fround:Wu});var Uu=Math.hypot,Vu=Math.abs,Gu=Math.sqrt,ju=!!Uu&&Uu(1/0,NaN)!==1/0;De({target:"Math",stat:!0,forced:ju},{hypot:function(e,t){for(var n,r,a=0,i=0,o=arguments.length,s=0;i<o;)s<(n=Vu(arguments[i++]))?(a=a*(r=s/n)*r+1,s=n):a+=n>0?(r=n/s)*r:n;return s===1/0?1/0:s*Gu(a)}});var Hu=Math.imul,qu=i((function(){return-5!=Hu(4294967295,5)||2!=Hu.length}));De({target:"Math",stat:!0,forced:qu},{imul:function(e,t){var n=65535,r=+e,a=+t,i=n&r,o=n&a;return 0|i*o+((n&r>>>16)*o+i*(n&a>>>16)<<16>>>0)}});var Ku=Math.log,Xu=Math.LOG10E;De({target:"Math",stat:!0},{log10:function(e){return Ku(e)*Xu}}),De({target:"Math",stat:!0},{log1p:pu});var Yu=Math.log,Ju=Math.LN2;De({target:"Math",stat:!0},{log2:function(e){return Yu(e)/Ju}}),De({target:"Math",stat:!0},{sign:ku});var Zu=Math.abs,Qu=Math.exp,$u=Math.E,el=i((function(){return-2e-17!=Math.sinh(-2e-17)}));De({target:"Math",stat:!0,forced:el},{sinh:function(e){return Zu(e=+e)<1?(Au(e)-Au(-e))/2:(Qu(e-1)-Qu(-e-1))*($u/2)}});var tl=Math.exp;De({target:"Math",stat:!0},{tanh:function(e){var t=Au(e=+e),n=Au(-e);return t==1/0?1:n==1/0?-1:(t-n)/(tl(e)+tl(-e))}}),ht(Math,"Math",!0);var nl=Math.ceil,rl=Math.floor;De({target:"Math",stat:!0},{trunc:function(e){return(e>0?rl:nl)(e)}}),De({target:"Date",stat:!0},{now:function(){return(new Date).getTime()}});var al=i((function(){return null!==new Date(NaN).toJSON()||1!==Date.prototype.toJSON.call({toISOString:function(){return 1}})}));De({target:"Date",proto:!0,forced:al},{toJSON:function(e){var t=je(this),n=y(t);return"number"!=typeof n||isFinite(n)?t.toISOString():null}});var il=po.start,ol=Math.abs,sl=Date.prototype,ul=sl.getTime,ll=sl.toISOString,cl=i((function(){return"0385-07-25T07:06:39.999Z"!=ll.call(new Date(-50000000000001))}))||!i((function(){ll.call(new Date(NaN))}))?function(){if(!isFinite(ul.call(this)))throw RangeError("Invalid time value");var e=this,t=e.getUTCFullYear(),n=e.getUTCMilliseconds(),r=t<0?"-":t>9999?"+":"";return r+il(ol(t),r?6:4,0)+"-"+il(e.getUTCMonth()+1,2,0)+"-"+il(e.getUTCDate(),2,0)+"T"+il(e.getUTCHours(),2,0)+":"+il(e.getUTCMinutes(),2,0)+":"+il(e.getUTCSeconds(),2,0)+"."+il(n,3,0)+"Z"}:ll;De({target:"Date",proto:!0,forced:Date.prototype.toISOString!==cl},{toISOString:cl});var pl=Date.prototype,hl="Invalid Date",fl="toString",dl=pl.toString,ml=pl.getTime;new Date(NaN)+""!=hl&&re(pl,fl,(function(){var e=ml.call(this);return e==e?dl.call(this):hl}));var vl=ot("toPrimitive"),gl=Date.prototype;vl in gl||A(gl,vl,(function(e){if("string"!==e&&"number"!==e&&"default"!==e)throw TypeError("Incorrect hint");return y(E(this),"number"!==e)}));var yl=oe("JSON","stringify"),bl=/[\uD800-\uDFFF]/g,xl=/^[\uD800-\uDBFF]$/,wl=/^[\uDC00-\uDFFF]$/,kl=function(e,t,n){var r=n.charAt(t-1),a=n.charAt(t+1);return xl.test(e)&&!wl.test(a)||wl.test(e)&&!xl.test(r)?"\\u"+e.charCodeAt(0).toString(16):e},Nl=i((function(){return'"\\udf06\\ud834"'!==yl("\udf06\ud834")||'"\\udead"'!==yl("\udead")}));yl&&De({target:"JSON",stat:!0,forced:Nl},{stringify:function(e,t,n){var r=yl.apply(null,arguments);return"string"==typeof r?r.replace(bl,kl):r}}),ht(a.JSON,"JSON",!0);var Il,Sl,Tl,El=a.Promise,Cl=function(e,t,n){for(var r in t)re(e,r,t[r],n);return e},Rl=function(e,t,n){if(!(e instanceof t))throw TypeError("Incorrect "+(n?n+" ":"")+"invocation");return e},Al=/(iphone|ipod|ipad).*applewebkit/i.test(Me),_l=a.location,Fl=a.setImmediate,Dl=a.clearImmediate,Ol=a.process,Ml=a.MessageChannel,Ll=a.Dispatch,zl=0,Pl={},Bl="onreadystatechange",Wl=function(e){if(Pl.hasOwnProperty(e)){var t=Pl[e];delete Pl[e],t()}},Ul=function(e){return function(){Wl(e)}},Vl=function(e){Wl(e.data)},Gl=function(e){a.postMessage(e+"",_l.protocol+"//"+_l.host)};Fl&&Dl||(Fl=function(e){for(var t=[],n=1;arguments.length>n;)t.push(arguments[n++]);return Pl[++zl]=function(){("function"==typeof e?e:Function(e)).apply(void 0,t)},Il(zl),zl},Dl=function(e){delete Pl[e]},Oe?Il=function(e){Ol.nextTick(Ul(e))}:Ll&&Ll.now?Il=function(e){Ll.now(Ul(e))}:Ml&&!Al?(Tl=(Sl=new Ml).port2,Sl.port1.onmessage=Vl,Il=dt(Tl.postMessage,Tl,1)):a.addEventListener&&"function"==typeof postMessage&&!a.importScripts&&_l&&"file:"!==_l.protocol&&!i(Gl)?(Il=Gl,a.addEventListener("message",Vl,!1)):Il=Bl in N("script")?function(e){Ke.appendChild(N("script")).onreadystatechange=function(){Ke.removeChild(this),Wl(e)}}:function(e){setTimeout(Ul(e),0)});var jl,Hl,ql,Kl,Xl,Yl,Jl,Zl,Ql={set:Fl,clear:Dl},$l=/web0s(?!.*chrome)/i.test(Me),ec=T.f,tc=Ql.set,nc=a.MutationObserver||a.WebKitMutationObserver,rc=a.document,ac=a.process,ic=a.Promise,oc=ec(a,"queueMicrotask"),sc=oc&&oc.value;sc||(jl=function(){var e,t;for(Oe&&(e=ac.domain)&&e.exit();Hl;){t=Hl.fn,Hl=Hl.next;try{t()}catch(e){throw Hl?Kl():ql=void 0,e}}ql=void 0,e&&e.enter()},Al||Oe||$l||!nc||!rc?ic&&ic.resolve?(Jl=ic.resolve(void 0),Zl=Jl.then,Kl=function(){Zl.call(Jl,jl)}):Kl=Oe?function(){ac.nextTick(jl)}:function(){tc.call(a,jl)}:(Xl=!0,Yl=rc.createTextNode(""),new nc(jl).observe(Yl,{characterData:!0}),Kl=function(){Yl.data=Xl=!Xl}));var uc,lc,cc,pc,hc=sc||function(e){var t={fn:e,next:void 0};ql&&(ql.next=t),Hl||(Hl=t,Kl()),ql=t},fc=function(e){var t,n;this.promise=new e((function(e,r){if(void 0!==t||void 0!==n)throw TypeError("Bad Promise constructor");t=e,n=r})),this.resolve=ft(t),this.reject=ft(n)},dc={f:function(e){return new fc(e)}},mc=function(e,t){if(E(e),g(t)&&t.constructor===e)return t;var n=dc.f(e);return(0,n.resolve)(t),n.promise},vc=function(e){try{return{error:!1,value:e()}}catch(e){return{error:!0,value:e}}},gc=Ql.set,yc=ot("species"),bc="Promise",xc=ne.get,wc=ne.set,kc=ne.getterFor(bc),Nc=El,Ic=a.TypeError,Sc=a.document,Tc=a.process,Ec=oe("fetch"),Cc=dc.f,Rc=Cc,Ac=!!(Sc&&Sc.createEvent&&a.dispatchEvent),_c="function"==typeof PromiseRejectionEvent,Fc="unhandledrejection",Dc=_e(bc,(function(){if(!(P(Nc)!==String(Nc))){if(66===We)return!0;if(!Oe&&!_c)return!0}if(We>=51&&/native code/.test(Nc))return!1;var e=Nc.resolve(1),t=function(e){e((function(){}),(function(){}))};return(e.constructor={})[yc]=t,!(e.then((function(){}))instanceof t)})),Oc=Dc||!Dn((function(e){Nc.all(e).catch((function(){}))})),Mc=function(e){var t;return!(!g(e)||"function"!=typeof(t=e.then))&&t},Lc=function(e,t){if(!e.notified){e.notified=!0;var n=e.reactions;hc((function(){for(var r=e.value,a=1==e.state,i=0;n.length>i;){var o,s,u,l=n[i++],c=a?l.ok:l.fail,p=l.resolve,h=l.reject,f=l.domain;try{c?(a||(2===e.rejection&&Wc(e),e.rejection=1),!0===c?o=r:(f&&f.enter(),o=c(r),f&&(f.exit(),u=!0)),o===l.promise?h(Ic("Promise-chain cycle")):(s=Mc(o))?s.call(o,p,h):p(o)):h(r)}catch(e){f&&!u&&f.exit(),h(e)}}e.reactions=[],e.notified=!1,t&&!e.rejection&&Pc(e)}))}},zc=function(e,t,n){var r,i;Ac?((r=Sc.createEvent("Event")).promise=t,r.reason=n,r.initEvent(e,!1,!0),a.dispatchEvent(r)):r={promise:t,reason:n},!_c&&(i=a["on"+e])?i(r):e===Fc&&function(e,t){var n=a.console;n&&n.error&&(1===arguments.length?n.error(e):n.error(e,t))}("Unhandled promise rejection",n)},Pc=function(e){gc.call(a,(function(){var t,n=e.facade,r=e.value;if(Bc(e)&&(t=vc((function(){Oe?Tc.emit("unhandledRejection",r,n):zc(Fc,n,r)})),e.rejection=Oe||Bc(e)?2:1,t.error))throw t.value}))},Bc=function(e){return 1!==e.rejection&&!e.parent},Wc=function(e){gc.call(a,(function(){var t=e.facade;Oe?Tc.emit("rejectionHandled",t):zc("rejectionhandled",t,e.value)}))},Uc=function(e,t,n){return function(r){e(t,r,n)}},Vc=function(e,t,n){e.done||(e.done=!0,n&&(e=n),e.value=t,e.state=2,Lc(e,!0))},Gc=function e(t,n,r){if(!t.done){t.done=!0,r&&(t=r);try{if(t.facade===n)throw Ic("Promise can't be resolved itself");var a=Mc(n);a?hc((function(){var r={done:!1};try{a.call(n,Uc(e,r,t),Uc(Vc,r,t))}catch(e){Vc(r,e,t)}})):(t.value=n,t.state=1,Lc(t,!1))}catch(e){Vc({done:!1},e,t)}}};Dc&&(Nc=function(e){Rl(this,Nc,bc),ft(e),uc.call(this);var t=xc(this);try{e(Uc(Gc,t),Uc(Vc,t))}catch(e){Vc(t,e)}},(uc=function(e){wc(this,{type:bc,done:!1,notified:!1,parent:!1,reactions:[],rejection:!1,state:0,value:void 0})}).prototype=Cl(Nc.prototype,{then:function(e,t){var n=kc(this),r=Cc(Ji(this,Nc));return r.ok="function"!=typeof e||e,r.fail="function"==typeof t&&t,r.domain=Oe?Tc.domain:void 0,n.parent=!0,n.reactions.push(r),0!=n.state&&Lc(n,!1),r.promise},catch:function(e){return this.then(void 0,e)}}),lc=function(){var e=new uc,t=xc(e);this.promise=e,this.resolve=Uc(Gc,t),this.reject=Uc(Vc,t)},dc.f=Cc=function(e){return e===Nc||e===cc?new lc(e):Rc(e)},"function"==typeof El&&(pc=El.prototype.then,re(El.prototype,"then",(function(e,t){var n=this;return new Nc((function(e,t){pc.call(n,e,t)})).then(e,t)}),{unsafe:!0}),"function"==typeof Ec&&De({global:!0,enumerable:!0,forced:!0},{fetch:function(e){return mc(Nc,Ec.apply(a,arguments))}}))),De({global:!0,wrap:!0,forced:Dc},{Promise:Nc}),ht(Nc,bc,!1),Jr(bc),cc=oe(bc),De({target:bc,stat:!0,forced:Dc},{reject:function(e){var t=Cc(this);return t.reject.call(void 0,e),t.promise}}),De({target:bc,stat:!0,forced:Dc},{resolve:function(e){return mc(this,e)}}),De({target:bc,stat:!0,forced:Oc},{all:function(e){var t=this,n=Cc(t),r=n.resolve,a=n.reject,i=vc((function(){var n=ft(t.resolve),i=[],o=0,s=1;In(e,(function(e){var u=o++,l=!1;i.push(void 0),s++,n.call(t,e).then((function(e){l||(l=!0,i[u]=e,--s||r(i))}),a)})),--s||r(i)}));return i.error&&a(i.value),n.promise},race:function(e){var t=this,n=Cc(t),r=n.reject,a=vc((function(){var a=ft(t.resolve);In(e,(function(e){a.call(t,e).then(n.resolve,r)}))}));return a.error&&r(a.value),n.promise}}),De({target:"Promise",stat:!0},{allSettled:function(e){var t=this,n=dc.f(t),r=n.resolve,a=n.reject,i=vc((function(){var n=ft(t.resolve),a=[],i=0,o=1;In(e,(function(e){var s=i++,u=!1;a.push(void 0),o++,n.call(t,e).then((function(e){u||(u=!0,a[s]={status:"fulfilled",value:e},--o||r(a))}),(function(e){u||(u=!0,a[s]={status:"rejected",reason:e},--o||r(a))}))})),--o||r(a)}));return i.error&&a(i.value),n.promise}});var jc="No one promise resolved";De({target:"Promise",stat:!0},{any:function(e){var t=this,n=dc.f(t),r=n.resolve,a=n.reject,i=vc((function(){var n=ft(t.resolve),i=[],o=0,s=1,u=!1;In(e,(function(e){var l=o++,c=!1;i.push(void 0),s++,n.call(t,e).then((function(e){c||u||(u=!0,r(e))}),(function(e){c||u||(c=!0,i[l]=e,--s||a(new(oe("AggregateError"))(i,jc)))}))})),--s||a(new(oe("AggregateError"))(i,jc))}));return i.error&&a(i.value),n.promise}});var Hc=!!El&&i((function(){El.prototype.finally.call({then:function(){}},(function(){}))}));De({target:"Promise",proto:!0,real:!0,forced:Hc},{finally:function(e){var t=Ji(this,oe("Promise")),n="function"==typeof e;return this.then(n?function(n){return mc(t,e()).then((function(){return n}))}:e,n?function(n){return mc(t,e()).then((function(){throw n}))}:e)}}),"function"!=typeof El||El.prototype.finally||re(El.prototype,"finally",oe("Promise").prototype.finally);var qc=function(e,t,n){var r=-1!==e.indexOf("Map"),o=-1!==e.indexOf("Weak"),s=r?"set":"add",u=a[e],l=u&&u.prototype,c=u,p={},h=function(e){var t=l[e];re(l,e,"add"==e?function(e){return t.call(this,0===e?0:e),this}:"delete"==e?function(e){return!(o&&!g(e))&&t.call(this,0===e?0:e)}:"get"==e?function(e){return o&&!g(e)?void 0:t.call(this,0===e?0:e)}:"has"==e?function(e){return!(o&&!g(e))&&t.call(this,0===e?0:e)}:function(e,n){return t.call(this,0===e?0:e,n),this})};if(_e(e,"function"!=typeof u||!(o||l.forEach&&!i((function(){(new u).entries().next()})))))c=n.getConstructor(t,e,r,s),Pa.REQUIRED=!0;else if(_e(e,!0)){var f=new c,d=f[s](o?{}:-0,1)!=f,m=i((function(){f.has(1)})),v=Dn((function(e){new u(e)})),y=!o&&i((function(){for(var e=new u,t=5;t--;)e[s](t,t);return!e.has(-0)}));v||((c=t((function(t,n){Rl(t,c,e);var a=rs(new u,t,c);return null!=n&&In(n,a[s],{that:a,AS_ENTRIES:r}),a}))).prototype=l,l.constructor=c),(m||y)&&(h("delete"),h("has"),r&&h("get")),(y||d)&&h(s),o&&l.clear&&delete l.clear}return p[e]=c,De({global:!0,forced:c!=u},p),ht(c,e),o||n.setStrong(c,e,r),c},Kc=R.f,Xc=Pa.fastKey,Yc=ne.set,Jc=ne.getterFor,Zc={getConstructor:function(e,t,n,r){var a=e((function(e,i){Rl(e,a,t),Yc(e,{type:t,index:Qe(null),first:void 0,last:void 0,size:0}),o||(e.size=0),null!=i&&In(i,e[r],{that:e,AS_ENTRIES:n})})),i=Jc(t),s=function(e,t,n){var r,a,s=i(e),l=u(e,t);return l?l.value=n:(s.last=l={index:a=Xc(t,!0),key:t,value:n,previous:r=s.last,next:void 0,removed:!1},s.first||(s.first=l),r&&(r.next=l),o?s.size++:e.size++,"F"!==a&&(s.index[a]=l)),e},u=function(e,t){var n,r=i(e),a=Xc(t);if("F"!==a)return r.index[a];for(n=r.first;n;n=n.next)if(n.key==t)return n};return Cl(a.prototype,{clear:function(){for(var e=i(this),t=e.index,n=e.first;n;)n.removed=!0,n.previous&&(n.previous=n.previous.next=void 0),delete t[n.index],n=n.next;e.first=e.last=void 0,o?e.size=0:this.size=0},delete:function(e){var t=this,n=i(t),r=u(t,e);if(r){var a=r.next,s=r.previous;delete n.index[r.index],r.removed=!0,s&&(s.next=a),a&&(a.previous=s),n.first==r&&(n.first=a),n.last==r&&(n.last=s),o?n.size--:t.size--}return!!r},forEach:function(e){for(var t,n=i(this),r=dt(e,arguments.length>1?arguments[1]:void 0,3);t=t?t.next:n.first;)for(r(t.value,t.key,this);t&&t.removed;)t=t.previous},has:function(e){return!!u(this,e)}}),Cl(a.prototype,n?{get:function(e){var t=u(this,e);return t&&t.value},set:function(e,t){return s(this,0===e?0:e,t)}}:{add:function(e){return s(this,e=0===e?0:e,e)}}),o&&Kc(a.prototype,"size",{get:function(){return i(this).size}}),a},setStrong:function(e,t,n){var r=t+" Iterator",a=Jc(t),i=Jc(r);da(e,t,(function(e,t){Yc(this,{type:r,target:e,state:a(e),kind:t,last:void 0})}),(function(){for(var e=i(this),t=e.kind,n=e.last;n&&n.removed;)n=n.previous;return e.target&&(e.last=n=n?n.next:e.state.first)?"keys"==t?{value:n.key,done:!1}:"values"==t?{value:n.value,done:!1}:{value:[n.key,n.value],done:!1}:(e.target=void 0,{value:void 0,done:!0})}),n?"entries":"values",!n,!0),Jr(t)}},Qc=(qc("Map",(function(e){return function(){return e(this,arguments.length?arguments[0]:void 0)}}),Zc),qc("Set",(function(e){return function(){return e(this,arguments.length?arguments[0]:void 0)}}),Zc),Pa.getWeakData),$c=ne.set,ep=ne.getterFor,tp=bt.find,np=bt.findIndex,rp=0,ap=function(e){return e.frozen||(e.frozen=new ip)},ip=function(){this.entries=[]},op=function(e,t){return tp(e.entries,(function(e){return e[0]===t}))};ip.prototype={get:function(e){var t=op(this,e);if(t)return t[1]},has:function(e){return!!op(this,e)},set:function(e,t){var n=op(this,e);n?n[1]=t:this.entries.push([e,t])},delete:function(e){var t=np(this.entries,(function(t){return t[0]===e}));return~t&&this.entries.splice(t,1),!!~t}};var sp={getConstructor:function(e,t,n,r){var a=e((function(e,i){Rl(e,a,t),$c(e,{type:t,id:rp++,frozen:void 0}),null!=i&&In(i,e[r],{that:e,AS_ENTRIES:n})})),i=ep(t),o=function(e,t,n){var r=i(e),a=Qc(E(t),!0);return!0===a?ap(r).set(t,n):a[r.id]=n,e};return Cl(a.prototype,{delete:function(e){var t=i(this);if(!g(e))return!1;var n=Qc(e);return!0===n?ap(t).delete(e):n&&x(n,t.id)&&delete n[t.id]},has:function(e){var t=i(this);if(!g(e))return!1;var n=Qc(e);return!0===n?ap(t).has(e):n&&x(n,t.id)}}),Cl(a.prototype,n?{get:function(e){var t=i(this);if(g(e)){var n=Qc(e);return!0===n?ap(t).get(e):n?n[t.id]:void 0}},set:function(e,t){return o(this,e,t)}}:{add:function(e){return o(this,e,!0)}}),a}};n((function(e){var t,n=ne.enforce,r=!a.ActiveXObject&&"ActiveXObject"in a,i=Object.isExtensible,o=function(e){return function(){return e(this,arguments.length?arguments[0]:void 0)}},s=e.exports=qc("WeakMap",o,sp);if(W&&r){t=sp.getConstructor(o,"WeakMap",!0),Pa.REQUIRED=!0;var u=s.prototype,l=u.delete,c=u.has,p=u.get,h=u.set;Cl(u,{delete:function(e){if(g(e)&&!i(e)){var r=n(this);return r.frozen||(r.frozen=new t),l.call(this,e)||r.frozen.delete(e)}return l.call(this,e)},has:function(e){if(g(e)&&!i(e)){var r=n(this);return r.frozen||(r.frozen=new t),c.call(this,e)||r.frozen.has(e)}return c.call(this,e)},get:function(e){if(g(e)&&!i(e)){var r=n(this);return r.frozen||(r.frozen=new t),c.call(this,e)?p.call(this,e):r.frozen.get(e)}return p.call(this,e)},set:function(e,r){if(g(e)&&!i(e)){var a=n(this);a.frozen||(a.frozen=new t),c.call(this,e)?h.call(this,e,r):a.frozen.set(e,r)}else h.call(this,e,r);return this}})}}));qc("WeakSet",(function(e){return function(){return e(this,arguments.length?arguments[0]:void 0)}}),sp);var up="undefined"!=typeof ArrayBuffer&&"undefined"!=typeof DataView,lp=function(e){if(void 0===e)return 0;var t=le(e),n=pe(t);if(t!==n)throw RangeError("Wrong length or index");return n},cp=Math.abs,pp=Math.pow,hp=Math.floor,fp=Math.log,dp=Math.LN2,mp=function(e,t,n){var r,a,i,o=new Array(n),s=8*n-t-1,u=(1<<s)-1,l=u>>1,c=23===t?pp(2,-24)-pp(2,-77):0,p=e<0||0===e&&1/e<0?1:0,h=0;for((e=cp(e))!=e||e===1/0?(a=e!=e?1:0,r=u):(r=hp(fp(e)/dp),e*(i=pp(2,-r))<1&&(r--,i*=2),(e+=r+l>=1?c/i:c*pp(2,1-l))*i>=2&&(r++,i/=2),r+l>=u?(a=0,r=u):r+l>=1?(a=(e*i-1)*pp(2,t),r+=l):(a=e*pp(2,l-1)*pp(2,t),r=0));t>=8;o[h++]=255&a,a/=256,t-=8);for(r=r<<t|a,s+=t;s>0;o[h++]=255&r,r/=256,s-=8);return o[--h]|=128*p,o},vp=function(e,t){var n,r=e.length,a=8*r-t-1,i=(1<<a)-1,o=i>>1,s=a-7,u=r-1,l=e[u--],c=127&l;for(l>>=7;s>0;c=256*c+e[u],u--,s-=8);for(n=c&(1<<-s)-1,c>>=-s,s+=t;s>0;n=256*n+e[u],u--,s-=8);if(0===c)c=1-o;else{if(c===i)return n?NaN:l?-1/0:1/0;n+=pp(2,t),c-=o}return(l?-1:1)*n*pp(2,c-t)},gp=we.f,yp=R.f,bp=ne.get,xp=ne.set,wp="ArrayBuffer",kp="DataView",Np="Wrong index",Ip=a.ArrayBuffer,Sp=Ip,Tp=a.DataView,Ep=Tp&&Tp.prototype,Cp=Object.prototype,Rp=a.RangeError,Ap=mp,_p=vp,Fp=function(e){return[255&e]},Dp=function(e){return[255&e,e>>8&255]},Op=function(e){return[255&e,e>>8&255,e>>16&255,e>>24&255]},Mp=function(e){return e[3]<<24|e[2]<<16|e[1]<<8|e[0]},Lp=function(e){return Ap(e,23,4)},zp=function(e){return Ap(e,52,8)},Pp=function(e,t){yp(e.prototype,t,{get:function(){return bp(this)[t]}})},Bp=function(e,t,n,r){var a=lp(n),i=bp(e);if(a+t>i.byteLength)throw Rp(Np);var o=bp(i.buffer).bytes,s=a+i.byteOffset,u=o.slice(s,s+t);return r?u:u.reverse()},Wp=function(e,t,n,r,a,i){var o=lp(n),s=bp(e);if(o+t>s.byteLength)throw Rp(Np);for(var u=bp(s.buffer).bytes,l=o+s.byteOffset,c=r(+a),p=0;p<t;p++)u[l+p]=c[i?p:t-p-1]};if(up){if(!i((function(){Ip(1)}))||!i((function(){new Ip(-1)}))||i((function(){return new Ip,new Ip(1.5),new Ip(NaN),Ip.name!=wp}))){for(var Up,Vp=(Sp=function(e){return Rl(this,Sp),new Ip(lp(e))}).prototype=Ip.prototype,Gp=gp(Ip),jp=0;Gp.length>jp;)(Up=Gp[jp++])in Sp||A(Sp,Up,Ip[Up]);Vp.constructor=Sp}cn&&un(Ep)!==Cp&&cn(Ep,Cp);var Hp=new Tp(new Sp(2)),qp=Ep.setInt8;Hp.setInt8(0,2147483648),Hp.setInt8(1,2147483649),!Hp.getInt8(0)&&Hp.getInt8(1)||Cl(Ep,{setInt8:function(e,t){qp.call(this,e,t<<24>>24)},setUint8:function(e,t){qp.call(this,e,t<<24>>24)}},{unsafe:!0})}else Sp=function(e){Rl(this,Sp,wp);var t=lp(e);xp(this,{bytes:Qn.call(new Array(t),0),byteLength:t}),o||(this.byteLength=t)},Tp=function(e,t,n){Rl(this,Tp,kp),Rl(e,Sp,kp);var r=bp(e).byteLength,a=le(t);if(a<0||a>r)throw Rp("Wrong offset");if(a+(n=void 0===n?r-a:pe(n))>r)throw Rp("Wrong length");xp(this,{buffer:e,byteLength:n,byteOffset:a}),o||(this.buffer=e,this.byteLength=n,this.byteOffset=a)},o&&(Pp(Sp,"byteLength"),Pp(Tp,"buffer"),Pp(Tp,"byteLength"),Pp(Tp,"byteOffset")),Cl(Tp.prototype,{getInt8:function(e){return Bp(this,1,e)[0]<<24>>24},getUint8:function(e){return Bp(this,1,e)[0]},getInt16:function(e){var t=Bp(this,2,e,arguments.length>1?arguments[1]:void 0);return(t[1]<<8|t[0])<<16>>16},getUint16:function(e){var t=Bp(this,2,e,arguments.length>1?arguments[1]:void 0);return t[1]<<8|t[0]},getInt32:function(e){return Mp(Bp(this,4,e,arguments.length>1?arguments[1]:void 0))},getUint32:function(e){return Mp(Bp(this,4,e,arguments.length>1?arguments[1]:void 0))>>>0},getFloat32:function(e){return _p(Bp(this,4,e,arguments.length>1?arguments[1]:void 0),23)},getFloat64:function(e){return _p(Bp(this,8,e,arguments.length>1?arguments[1]:void 0),52)},setInt8:function(e,t){Wp(this,1,e,Fp,t)},setUint8:function(e,t){Wp(this,1,e,Fp,t)},setInt16:function(e,t){Wp(this,2,e,Dp,t,arguments.length>2?arguments[2]:void 0)},setUint16:function(e,t){Wp(this,2,e,Dp,t,arguments.length>2?arguments[2]:void 0)},setInt32:function(e,t){Wp(this,4,e,Op,t,arguments.length>2?arguments[2]:void 0)},setUint32:function(e,t){Wp(this,4,e,Op,t,arguments.length>2?arguments[2]:void 0)},setFloat32:function(e,t){Wp(this,4,e,Lp,t,arguments.length>2?arguments[2]:void 0)},setFloat64:function(e,t){Wp(this,8,e,zp,t,arguments.length>2?arguments[2]:void 0)}});ht(Sp,wp),ht(Tp,kp);var Kp={ArrayBuffer:Sp,DataView:Tp},Xp="ArrayBuffer",Yp=Kp.ArrayBuffer,Jp=a.ArrayBuffer;De({global:!0,forced:Jp!==Yp},{ArrayBuffer:Yp}),Jr(Xp);var Zp,Qp=R.f,$p=a.Int8Array,eh=$p&&$p.prototype,th=a.Uint8ClampedArray,nh=th&&th.prototype,rh=$p&&un($p),ah=eh&&un(eh),ih=Object.prototype,oh=ih.isPrototypeOf,sh=ot("toStringTag"),uh=j("TYPED_ARRAY_TAG"),lh=up&&!!cn&&"Opera"!==bn(a.opera),ch=!1,ph={Int8Array:1,Uint8Array:1,Uint8ClampedArray:1,Int16Array:2,Uint16Array:2,Int32Array:4,Uint32Array:4,Float32Array:4,Float64Array:8},hh={BigInt64Array:8,BigUint64Array:8},fh=function(e){if(!g(e))return!1;var t=bn(e);return x(ph,t)||x(hh,t)};for(Zp in ph)a[Zp]||(lh=!1);if((!lh||"function"!=typeof rh||rh===Function.prototype)&&(rh=function(){throw TypeError("Incorrect invocation")},lh))for(Zp in ph)a[Zp]&&cn(a[Zp],rh);if((!lh||!ah||ah===ih)&&(ah=rh.prototype,lh))for(Zp in ph)a[Zp]&&cn(a[Zp].prototype,ah);if(lh&&un(nh)!==ah&&cn(nh,ah),o&&!x(ah,sh))for(Zp in ch=!0,Qp(ah,sh,{get:function(){return g(this)?this[uh]:void 0}}),ph)a[Zp]&&A(a[Zp],uh,Zp);var dh={NATIVE_ARRAY_BUFFER_VIEWS:lh,TYPED_ARRAY_TAG:ch&&uh,aTypedArray:function(e){if(fh(e))return e;throw TypeError("Target is not a typed array")},aTypedArrayConstructor:function(e){if(cn){if(oh.call(rh,e))return e}else for(var t in ph)if(x(ph,Zp)){var n=a[t];if(n&&(e===n||oh.call(n,e)))return e}throw TypeError("Target is not a typed array constructor")},exportTypedArrayMethod:function(e,t,n){if(o){if(n)for(var r in ph){var i=a[r];i&&x(i.prototype,e)&&delete i.prototype[e]}ah[e]&&!n||re(ah,e,n?t:lh&&eh[e]||t)}},exportTypedArrayStaticMethod:function(e,t,n){var r,i;if(o){if(cn){if(n)for(r in ph)(i=a[r])&&x(i,e)&&delete i[e];if(rh[e]&&!n)return;try{return re(rh,e,n?t:lh&&$p[e]||t)}catch(e){}}for(r in ph)!(i=a[r])||i[e]&&!n||re(i,e,t)}},isView:function(e){if(!g(e))return!1;var t=bn(e);return"DataView"===t||x(ph,t)||x(hh,t)},isTypedArray:fh,TypedArray:rh,TypedArrayPrototype:ah};De({target:"ArrayBuffer",stat:!0,forced:!dh.NATIVE_ARRAY_BUFFER_VIEWS},{isView:dh.isView});var mh=Kp.ArrayBuffer,vh=Kp.DataView,gh=mh.prototype.slice,yh=i((function(){return!new mh(2).slice(1,void 0).byteLength}));De({target:"ArrayBuffer",proto:!0,unsafe:!0,forced:yh},{slice:function(e,t){if(void 0!==gh&&void 0===t)return gh.call(E(this),e);for(var n=E(this).byteLength,r=de(e,n),a=de(void 0===t?n:t,n),i=new(Ji(this,mh))(pe(a-r)),o=new vh(this),s=new vh(i),u=0;r<a;)s.setUint8(u++,o.getUint8(r++));return i}}),De({global:!0,forced:!up},{DataView:Kp.DataView});var bh=dh.NATIVE_ARRAY_BUFFER_VIEWS,xh=a.ArrayBuffer,wh=a.Int8Array,kh=!bh||!i((function(){wh(1)}))||!i((function(){new wh(-1)}))||!Dn((function(e){new wh,new wh(null),new wh(1.5),new wh(e)}),!0)||i((function(){return 1!==new wh(new xh(2),1,void 0).length})),Nh=function(e,t){var n=function(e){var t=le(e);if(t<0)throw RangeError("The argument can't be less than 0");return t}(e);if(n%t)throw RangeError("Wrong offset");return n},Ih=dh.aTypedArrayConstructor,Sh=function(e){var t,n,r,a,i,o,s=je(e),u=arguments.length,l=u>1?arguments[1]:void 0,c=void 0!==l,p=wn(s);if(null!=p&&!dn(p))for(o=(i=p.call(s)).next,s=[];!(a=o.call(i)).done;)s.push(a.value);for(c&&u>2&&(l=dt(l,arguments[2],2)),n=pe(s.length),r=new(Ih(this))(n),t=0;n>t;t++)r[t]=c?l(s[t],t):s[t];return r},Th=n((function(e){var t=we.f,n=bt.forEach,r=ne.get,i=ne.set,s=R.f,u=T.f,l=Math.round,p=a.RangeError,h=Kp.ArrayBuffer,f=Kp.DataView,d=dh.NATIVE_ARRAY_BUFFER_VIEWS,m=dh.TYPED_ARRAY_TAG,v=dh.TypedArray,b=dh.TypedArrayPrototype,w=dh.aTypedArrayConstructor,k=dh.isTypedArray,N="BYTES_PER_ELEMENT",I="Wrong length",S=function(e,t){for(var n=0,r=t.length,a=new(w(e))(r);r>n;)a[n]=t[n++];return a},E=function(e,t){s(e,t,{get:function(){return r(this)[t]}})},C=function(e){var t;return e instanceof h||"ArrayBuffer"==(t=bn(e))||"SharedArrayBuffer"==t},_=function(e,t){return k(e)&&"symbol"!=typeof t&&t in e&&String(+t)==String(t)},F=function(e,t){return _(e,t=y(t,!0))?c(2,e[t]):u(e,t)},D=function(e,t,n){return!(_(e,t=y(t,!0))&&g(n)&&x(n,"value"))||x(n,"get")||x(n,"set")||n.configurable||x(n,"writable")&&!n.writable||x(n,"enumerable")&&!n.enumerable?s(e,t,n):(e[t]=n.value,e)};o?(d||(T.f=F,R.f=D,E(b,"buffer"),E(b,"byteOffset"),E(b,"byteLength"),E(b,"length")),De({target:"Object",stat:!0,forced:!d},{getOwnPropertyDescriptor:F,defineProperty:D}),e.exports=function(e,o,u){var c=e.match(/\d+$/)[0]/8,y=e+(u?"Clamped":"")+"Array",x="get"+e,w="set"+e,T=a[y],E=T,R=E&&E.prototype,_={},F=function(e,t){s(e,t,{get:function(){return function(e,t){var n=r(e);return n.view[x](t*c+n.byteOffset,!0)}(this,t)},set:function(e){return function(e,t,n){var a=r(e);u&&(n=(n=l(n))<0?0:n>255?255:255&n),a.view[w](t*c+a.byteOffset,n,!0)}(this,t,e)},enumerable:!0})};d?kh&&(E=o((function(e,t,n,r){return Rl(e,E,y),rs(g(t)?C(t)?void 0!==r?new T(t,Nh(n,c),r):void 0!==n?new T(t,Nh(n,c)):new T(t):k(t)?S(E,t):Sh.call(E,t):new T(lp(t)),e,E)})),cn&&cn(E,v),n(t(T),(function(e){e in E||A(E,e,T[e])})),E.prototype=R):(E=o((function(e,t,n,r){Rl(e,E,y);var a,o,s,u=0,l=0;if(g(t)){if(!C(t))return k(t)?S(E,t):Sh.call(E,t);a=t,l=Nh(n,c);var d=t.byteLength;if(void 0===r){if(d%c)throw p(I);if((o=d-l)<0)throw p(I)}else if((o=pe(r)*c)+l>d)throw p(I);s=o/c}else s=lp(t),a=new h(o=s*c);for(i(e,{buffer:a,byteOffset:l,byteLength:o,length:s,view:new f(a)});u<s;)F(e,u++)})),cn&&cn(E,v),R=E.prototype=Qe(b)),R.constructor!==E&&A(R,"constructor",E),m&&A(R,m,y),_[y]=E,De({global:!0,forced:E!=T,sham:!d},_),N in E||A(E,N,c),N in R||A(R,N,c),Jr(y)}):e.exports=function(){}}));Th("Int8",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Uint8",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Uint8",(function(e){return function(t,n,r){return e(this,t,n,r)}}),!0),Th("Int16",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Uint16",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Int32",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Uint32",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Float32",(function(e){return function(t,n,r){return e(this,t,n,r)}})),Th("Float64",(function(e){return function(t,n,r){return e(this,t,n,r)}})),(0,dh.exportTypedArrayStaticMethod)("from",Sh,kh);var Eh=dh.aTypedArrayConstructor;(0,dh.exportTypedArrayStaticMethod)("of",(function(){for(var e=0,t=arguments.length,n=new(Eh(this))(t);t>e;)n[e]=arguments[e++];return n}),kh);var Ch=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("copyWithin",(function(e,t){return Hn.call(Ch(this),e,t,arguments.length>2?arguments[2]:void 0)}));var Rh=bt.every,Ah=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("every",(function(e){return Rh(Ah(this),e,arguments.length>1?arguments[1]:void 0)}));var _h=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("fill",(function(e){return Qn.apply(_h(this),arguments)}));var Fh=dh.aTypedArrayConstructor,Dh=function(e,t){for(var n=Ji(e,e.constructor),r=0,a=t.length,i=new(Fh(n))(a);a>r;)i[r]=t[r++];return i},Oh=bt.filter,Mh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("filter",(function(e){var t=Oh(Mh(this),e,arguments.length>1?arguments[1]:void 0);return Dh(this,t)}));var Lh=bt.find,zh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("find",(function(e){return Lh(zh(this),e,arguments.length>1?arguments[1]:void 0)}));var Ph=bt.findIndex,Bh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("findIndex",(function(e){return Ph(Bh(this),e,arguments.length>1?arguments[1]:void 0)}));var Wh=bt.forEach,Uh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("forEach",(function(e){Wh(Uh(this),e,arguments.length>1?arguments[1]:void 0)}));var Vh=ve.includes,Gh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("includes",(function(e){return Vh(Gh(this),e,arguments.length>1?arguments[1]:void 0)}));var jh=ve.indexOf,Hh=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("indexOf",(function(e){return jh(Hh(this),e,arguments.length>1?arguments[1]:void 0)}));var qh=ot("iterator"),Kh=a.Uint8Array,Xh=ya.values,Yh=ya.keys,Jh=ya.entries,Zh=dh.aTypedArray,Qh=dh.exportTypedArrayMethod,$h=Kh&&Kh.prototype[qh],ef=!!$h&&("values"==$h.name||null==$h.name),tf=function(){return Xh.call(Zh(this))};Qh("entries",(function(){return Jh.call(Zh(this))})),Qh("keys",(function(){return Yh.call(Zh(this))})),Qh("values",tf,!ef),Qh(qh,tf,!ef);var nf=dh.aTypedArray,rf=[].join;(0,dh.exportTypedArrayMethod)("join",(function(e){return rf.apply(nf(this),arguments)}));var af=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("lastIndexOf",(function(e){return kr.apply(af(this),arguments)}));var of=bt.map,sf=dh.aTypedArray,uf=dh.aTypedArrayConstructor;(0,dh.exportTypedArrayMethod)("map",(function(e){return of(sf(this),e,arguments.length>1?arguments[1]:void 0,(function(e,t){return new(uf(Ji(e,e.constructor)))(t)}))}));var lf=Tr.left,cf=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("reduce",(function(e){return lf(cf(this),e,arguments.length,arguments.length>1?arguments[1]:void 0)}));var pf=Tr.right,hf=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("reduceRight",(function(e){return pf(hf(this),e,arguments.length,arguments.length>1?arguments[1]:void 0)}));var ff=dh.aTypedArray,df=dh.exportTypedArrayMethod,mf=Math.floor;df("reverse",(function(){for(var e,t=this,n=ff(t).length,r=mf(n/2),a=0;a<r;)e=t[a],t[a++]=t[--n],t[n]=e;return t}));var vf=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("set",(function(e){vf(this);var t=Nh(arguments.length>1?arguments[1]:void 0,1),n=this.length,r=je(e),a=pe(r.length),i=0;if(a+t>n)throw RangeError("Wrong length");for(;i<a;)this[t+i]=r[i++]}),i((function(){new Int8Array(1).set({})})));var gf=dh.aTypedArray,yf=dh.aTypedArrayConstructor,bf=[].slice;(0,dh.exportTypedArrayMethod)("slice",(function(e,t){for(var n=bf.call(gf(this),e,t),r=Ji(this,this.constructor),a=0,i=n.length,o=new(yf(r))(i);i>a;)o[a]=n[a++];return o}),i((function(){new Int8Array(1).slice()})));var xf=bt.some,wf=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("some",(function(e){return xf(wf(this),e,arguments.length>1?arguments[1]:void 0)}));var kf=dh.aTypedArray,Nf=[].sort;(0,dh.exportTypedArrayMethod)("sort",(function(e){return Nf.call(kf(this),e)}));var If=dh.aTypedArray;(0,dh.exportTypedArrayMethod)("subarray",(function(e,t){var n=If(this),r=n.length,a=de(e,r);return new(Ji(n,n.constructor))(n.buffer,n.byteOffset+a*n.BYTES_PER_ELEMENT,pe((void 0===t?r:de(t,r))-a))}));var Sf=a.Int8Array,Tf=dh.aTypedArray,Ef=dh.exportTypedArrayMethod,Cf=[].toLocaleString,Rf=[].slice,Af=!!Sf&&i((function(){Cf.call(new Sf(1))}));Ef("toLocaleString",(function(){return Cf.apply(Af?Rf.call(Tf(this)):Tf(this),arguments)}),i((function(){return[1,2].toLocaleString()!=new Sf([1,2]).toLocaleString()}))||!i((function(){Sf.prototype.toLocaleString.call([1,2])})));var _f=dh.exportTypedArrayMethod,Ff=a.Uint8Array,Df=Ff&&Ff.prototype||{},Of=[].toString,Mf=[].join;i((function(){Of.call({})}))&&(Of=function(){return Mf.call(this)});var Lf=Df.toString!=Of;_f("toString",Of,Lf);var zf=oe("Reflect","apply"),Pf=Function.apply,Bf=!i((function(){zf((function(){}))}));De({target:"Reflect",stat:!0,forced:Bf},{apply:function(e,t,n){return ft(e),E(n),zf?zf(e,t,n):Pf.call(e,t,n)}});var Wf=oe("Reflect","construct"),Uf=i((function(){function e(){}return!(Wf((function(){}),[],e)instanceof e)})),Vf=!i((function(){Wf((function(){}))})),Gf=Uf||Vf;De({target:"Reflect",stat:!0,forced:Gf,sham:Gf},{construct:function(e,t){ft(e),E(t);var n=arguments.length<3?e:ft(arguments[2]);if(Vf&&!Uf)return Wf(e,t,n);if(e==n){switch(t.length){case 0:return new e;case 1:return new e(t[0]);case 2:return new e(t[0],t[1]);case 3:return new e(t[0],t[1],t[2]);case 4:return new e(t[0],t[1],t[2],t[3])}var r=[null];return r.push.apply(r,t),new(ka.apply(e,r))}var a=n.prototype,i=Qe(g(a)?a:Object.prototype),o=Function.apply.call(e,i,t);return g(o)?o:i}});var jf=i((function(){Reflect.defineProperty(R.f({},1,{value:1}),1,{value:2})}));De({target:"Reflect",stat:!0,forced:jf,sham:!o},{defineProperty:function(e,t,n){E(e);var r=y(t,!0);E(n);try{return R.f(e,r,n),!0}catch(e){return!1}}});var Hf=T.f;De({target:"Reflect",stat:!0},{deleteProperty:function(e,t){var n=Hf(E(e),t);return!(n&&!n.configurable)&&delete e[t]}}),De({target:"Reflect",stat:!0},{get:function e(t,n){var r,a,i=arguments.length<3?t:arguments[2];return E(t)===i?t[n]:(r=T.f(t,n))?x(r,"value")?r.value:void 0===r.get?void 0:r.get.call(i):g(a=un(t))?e(a,n,i):void 0}}),De({target:"Reflect",stat:!0,sham:!o},{getOwnPropertyDescriptor:function(e,t){return T.f(E(e),t)}}),De({target:"Reflect",stat:!0,sham:!an},{getPrototypeOf:function(e){return un(E(e))}}),De({target:"Reflect",stat:!0},{has:function(e,t){return t in e}});var qf=Object.isExtensible;De({target:"Reflect",stat:!0},{isExtensible:function(e){return E(e),!qf||qf(e)}}),De({target:"Reflect",stat:!0},{ownKeys:Ne}),De({target:"Reflect",stat:!0,sham:!za},{preventExtensions:function(e){E(e);try{var t=oe("Object","preventExtensions");return t&&t(e),!0}catch(e){return!1}}});var Kf=i((function(){var e=function(){},t=R.f(new e,"a",{configurable:!0});return!1!==Reflect.set(e.prototype,"a",1,t)}));De({target:"Reflect",stat:!0,forced:Kf},{set:function e(t,n,r){var a,i,o=arguments.length<4?t:arguments[3],s=T.f(E(t),n);if(!s){if(g(i=un(t)))return e(i,n,r,o);s=c(0)}if(x(s,"value")){if(!1===s.writable||!g(o))return!1;if(a=T.f(o,n)){if(a.get||a.set||!1===a.writable)return!1;a.value=r,R.f(o,n,a)}else R.f(o,n,c(0,r));return!0}return void 0!==s.set&&(s.set.call(o,r),!0)}}),cn&&De({target:"Reflect",stat:!0},{setPrototypeOf:function(e,t){E(e),ln(t);try{return cn(e,t),!0}catch(e){return!1}}}),De({global:!0},{Reflect:{}}),ht(a.Reflect,"Reflect",!0);var Xf={CSSRuleList:0,CSSStyleDeclaration:0,CSSValueList:0,ClientRectList:0,DOMRectList:0,DOMStringList:0,DOMTokenList:1,DataTransferItemList:0,FileList:0,HTMLAllCollection:0,HTMLCollection:0,HTMLFormElement:0,HTMLSelectElement:0,MediaList:0,MimeTypeArray:0,NamedNodeMap:0,NodeList:1,PaintRequestList:0,Plugin:0,PluginArray:0,SVGLengthList:0,SVGNumberList:0,SVGPathSegList:0,SVGPointList:0,SVGStringList:0,SVGTransformList:0,SourceBufferList:0,StyleSheetList:0,TextTrackCueList:0,TextTrackList:0,TouchList:0};for(var Yf in Xf){var Jf=a[Yf],Zf=Jf&&Jf.prototype;if(Zf&&Zf.forEach!==lr)try{A(Zf,"forEach",lr)}catch(e){Zf.forEach=lr}}var Qf=ot("iterator"),$f=ot("toStringTag"),ed=ya.values;for(var td in Xf){var nd=a[td],rd=nd&&nd.prototype;if(rd){if(rd[Qf]!==ed)try{A(rd,Qf,ed)}catch(e){rd[Qf]=ed}if(rd[$f]||A(rd,$f,td),Xf[td])for(var ad in ya)if(rd[ad]!==ya[ad])try{A(rd,ad,ya[ad])}catch(e){rd[ad]=ya[ad]}}}var id=!a.setImmediate||!a.clearImmediate;De({global:!0,bind:!0,enumerable:!0,forced:id},{setImmediate:Ql.set,clearImmediate:Ql.clear});var od=a.process;De({global:!0,enumerable:!0,noTargetGet:!0},{queueMicrotask:function(e){var t=Oe&&od.domain;hc(t?t.bind(e):e)}});var sd=[].slice,ud=/MSIE .\./.test(Me),ld=function(e){return function(t,n){var r=arguments.length>2,a=r?sd.call(arguments,2):void 0;return e(r?function(){("function"==typeof t?t:Function(t)).apply(this,a)}:t,n)}};De({global:!0,bind:!0,forced:ud},{setTimeout:ld(a.setTimeout),setInterval:ld(a.setInterval)});var cd=ot("iterator"),pd=!i((function(){var e=new URL("b?a=1&b=2&c=3","http://a"),t=e.searchParams,n="";return e.pathname="c%20d",t.forEach((function(e,r){t.delete("b"),n+=r+e})),!t.sort||"http://a/c%20d?a=1&c=3"!==e.href||"3"!==t.get("c")||"a=1"!==String(new URLSearchParams("?a=1"))||!t[cd]||"a"!==new URL("https://a@b").username||"b"!==new URLSearchParams(new URLSearchParams("a=b")).get("a")||"xn--e1aybc"!==new URL("http://тест").host||"#%D0%B1"!==new URL("http://a#б").hash||"a1c3"!==n||"x"!==new URL("http://x",void 0).host})),hd=2147483647,fd=/[^\0-\u007E]/,dd=/[.\u3002\uFF0E\uFF61]/g,md="Overflow: input needs wider integers to process",vd=Math.floor,gd=String.fromCharCode,yd=function(e){return e+22+75*(e<26)},bd=function(e,t,n){var r=0;for(e=n?vd(e/700):e>>1,e+=vd(e/t);e>455;r+=36)e=vd(e/35);return vd(r+36*e/(e+38))},xd=function(e){var t,n,r=[],a=(e=function(e){for(var t=[],n=0,r=e.length;n<r;){var a=e.charCodeAt(n++);if(a>=55296&&a<=56319&&n<r){var i=e.charCodeAt(n++);56320==(64512&i)?t.push(((1023&a)<<10)+(1023&i)+65536):(t.push(a),n--)}else t.push(a)}return t}(e)).length,i=128,o=0,s=72;for(t=0;t<e.length;t++)(n=e[t])<128&&r.push(gd(n));var u=r.length,l=u;for(u&&r.push("-");l<a;){var c=hd;for(t=0;t<e.length;t++)(n=e[t])>=i&&n<c&&(c=n);var p=l+1;if(c-i>vd((hd-o)/p))throw RangeError(md);for(o+=(c-i)*p,i=c,t=0;t<e.length;t++){if((n=e[t])<i&&++o>hd)throw RangeError(md);if(n==i){for(var h=o,f=36;;f+=36){var d=f<=s?1:f>=s+26?26:f-s;if(h<d)break;var m=h-d,v=36-d;r.push(gd(yd(d+m%v))),h=vd(m/v)}r.push(gd(yd(h))),s=bd(o,p,l==u),o=0,++l}}++o,++i}return r.join("")},wd=function(e){var t=wn(e);if("function"!=typeof t)throw TypeError(String(e)+" is not iterable");return E(t.call(e))},kd=oe("fetch"),Nd=oe("Headers"),Id=ot("iterator"),Sd="URLSearchParams",Td="URLSearchParamsIterator",Ed=ne.set,Cd=ne.getterFor(Sd),Rd=ne.getterFor(Td),Ad=/\+/g,_d=Array(4),Fd=function(e){return _d[e-1]||(_d[e-1]=RegExp("((?:%[\\da-f]{2}){"+e+"})","gi"))},Dd=function(e){try{return decodeURIComponent(e)}catch(t){return e}},Od=function(e){var t=e.replace(Ad," "),n=4;try{return decodeURIComponent(t)}catch(e){for(;n;)t=t.replace(Fd(n--),Dd);return t}},Md=/[!'()~]|%20/g,Ld={"!":"%21","'":"%27","(":"%28",")":"%29","~":"%7E","%20":"+"},zd=function(e){return Ld[e]},Pd=function(e){return encodeURIComponent(e).replace(Md,zd)},Bd=function(e,t){if(t)for(var n,r,a=t.split("&"),i=0;i<a.length;)(n=a[i++]).length&&(r=n.split("="),e.push({key:Od(r.shift()),value:Od(r.join("="))}))},Wd=function(e){this.entries.length=0,Bd(this.entries,e)},Ud=function(e,t){if(e<t)throw TypeError("Not enough arguments")},Vd=oa((function(e,t){Ed(this,{type:Td,iterator:wd(Cd(e).entries),kind:t})}),"Iterator",(function(){var e=Rd(this),t=e.kind,n=e.iterator.next(),r=n.value;return n.done||(n.value="keys"===t?r.key:"values"===t?r.value:[r.key,r.value]),n})),Gd=function(){Rl(this,Gd,Sd);var e,t,n,r,a,i,o,s,u,l=arguments.length>0?arguments[0]:void 0,c=this,p=[];if(Ed(c,{type:Sd,entries:p,updateURL:function(){},updateSearchParams:Wd}),void 0!==l)if(g(l))if("function"==typeof(e=wn(l)))for(n=(t=e.call(l)).next;!(r=n.call(t)).done;){if((o=(i=(a=wd(E(r.value))).next).call(a)).done||(s=i.call(a)).done||!i.call(a).done)throw TypeError("Expected sequence with length 2");p.push({key:o.value+"",value:s.value+""})}else for(u in l)x(l,u)&&p.push({key:u,value:l[u]+""});else Bd(p,"string"==typeof l?"?"===l.charAt(0)?l.slice(1):l:l+"")},jd=Gd.prototype;Cl(jd,{append:function(e,t){Ud(arguments.length,2);var n=Cd(this);n.entries.push({key:e+"",value:t+""}),n.updateURL()},delete:function(e){Ud(arguments.length,1);for(var t=Cd(this),n=t.entries,r=e+"",a=0;a<n.length;)n[a].key===r?n.splice(a,1):a++;t.updateURL()},get:function(e){Ud(arguments.length,1);for(var t=Cd(this).entries,n=e+"",r=0;r<t.length;r++)if(t[r].key===n)return t[r].value;return null},getAll:function(e){Ud(arguments.length,1);for(var t=Cd(this).entries,n=e+"",r=[],a=0;a<t.length;a++)t[a].key===n&&r.push(t[a].value);return r},has:function(e){Ud(arguments.length,1);for(var t=Cd(this).entries,n=e+"",r=0;r<t.length;)if(t[r++].key===n)return!0;return!1},set:function(e,t){Ud(arguments.length,1);for(var n,r=Cd(this),a=r.entries,i=!1,o=e+"",s=t+"",u=0;u<a.length;u++)(n=a[u]).key===o&&(i?a.splice(u--,1):(i=!0,n.value=s));i||a.push({key:o,value:s}),r.updateURL()},sort:function(){var e,t,n,r=Cd(this),a=r.entries,i=a.slice();for(a.length=0,n=0;n<i.length;n++){for(e=i[n],t=0;t<n;t++)if(a[t].key>e.key){a.splice(t,0,e);break}t===n&&a.push(e)}r.updateURL()},forEach:function(e){for(var t,n=Cd(this).entries,r=dt(e,arguments.length>1?arguments[1]:void 0,3),a=0;a<n.length;)r((t=n[a++]).value,t.key,this)},keys:function(){return new Vd(this,"keys")},values:function(){return new Vd(this,"values")},entries:function(){return new Vd(this,"entries")}},{enumerable:!0}),re(jd,Id,jd.entries),re(jd,"toString",(function(){for(var e,t=Cd(this).entries,n=[],r=0;r<t.length;)e=t[r++],n.push(Pd(e.key)+"="+Pd(e.value));return n.join("&")}),{enumerable:!0}),ht(Gd,Sd),De({global:!0,forced:!pd},{URLSearchParams:Gd}),pd||"function"!=typeof kd||"function"!=typeof Nd||De({global:!0,enumerable:!0,forced:!0},{fetch:function(e){var t,n,r,a=[e];return arguments.length>1&&(g(t=arguments[1])&&(n=t.body,bn(n)===Sd&&((r=t.headers?new Nd(t.headers):new Nd).has("content-type")||r.set("content-type","application/x-www-form-urlencoded;charset=UTF-8"),t=Qe(t,{body:c(0,String(n)),headers:c(0,r)}))),a.push(t)),kd.apply(this,a)}});var Hd,qd={URLSearchParams:Gd,getState:Cd},Kd=vi.codeAt,Xd=a.URL,Yd=qd.URLSearchParams,Jd=qd.getState,Zd=ne.set,Qd=ne.getterFor("URL"),$d=Math.floor,em=Math.pow,tm="Invalid scheme",nm="Invalid host",rm="Invalid port",am=/[A-Za-z]/,im=/[\d+-.A-Za-z]/,om=/\d/,sm=/^(0x|0X)/,um=/^[0-7]+$/,lm=/^\d+$/,cm=/^[\dA-Fa-f]+$/,pm=/[\u0000\t\u000A\u000D #%/:?@[\\]]/,hm=/[\u0000\t\u000A\u000D #/:?@[\\]]/,fm=/^[\u0000-\u001F ]+|[\u0000-\u001F ]+$/g,dm=/[\t\u000A\u000D]/g,mm=function(e,t){var n,r,a;if("["==t.charAt(0)){if("]"!=t.charAt(t.length-1))return nm;if(!(n=gm(t.slice(1,-1))))return nm;e.host=n}else if(Sm(e)){if(t=function(e){var t,n,r=[],a=e.toLowerCase().replace(dd,".").split(".");for(t=0;t<a.length;t++)n=a[t],r.push(fd.test(n)?"xn--"+xd(n):n);return r.join(".")}(t),pm.test(t))return nm;if(null===(n=vm(t)))return nm;e.host=n}else{if(hm.test(t))return nm;for(n="",r=Cn(t),a=0;a<r.length;a++)n+=Nm(r[a],bm);e.host=n}},vm=function(e){var t,n,r,a,i,o,s,u=e.split(".");if(u.length&&""==u[u.length-1]&&u.pop(),(t=u.length)>4)return e;for(n=[],r=0;r<t;r++){if(""==(a=u[r]))return e;if(i=10,a.length>1&&"0"==a.charAt(0)&&(i=sm.test(a)?16:8,a=a.slice(8==i?1:2)),""===a)o=0;else{if(!(10==i?lm:8==i?um:cm).test(a))return e;o=parseInt(a,i)}n.push(o)}for(r=0;r<t;r++)if(o=n[r],r==t-1){if(o>=em(256,5-t))return null}else if(o>255)return null;for(s=n.pop(),r=0;r<n.length;r++)s+=n[r]*em(256,3-r);return s},gm=function(e){var t,n,r,a,i,o,s,u=[0,0,0,0,0,0,0,0],l=0,c=null,p=0,h=function(){return e.charAt(p)};if(":"==h()){if(":"!=e.charAt(1))return;p+=2,c=++l}for(;h();){if(8==l)return;if(":"!=h()){for(t=n=0;n<4&&cm.test(h());)t=16*t+parseInt(h(),16),p++,n++;if("."==h()){if(0==n)return;if(p-=n,l>6)return;for(r=0;h();){if(a=null,r>0){if(!("."==h()&&r<4))return;p++}if(!om.test(h()))return;for(;om.test(h());){if(i=parseInt(h(),10),null===a)a=i;else{if(0==a)return;a=10*a+i}if(a>255)return;p++}u[l]=256*u[l]+a,2!=++r&&4!=r||l++}if(4!=r)return;break}if(":"==h()){if(p++,!h())return}else if(h())return;u[l++]=t}else{if(null!==c)return;p++,c=++l}}if(null!==c)for(o=l-c,l=7;0!=l&&o>0;)s=u[l],u[l--]=u[c+o-1],u[c+--o]=s;else if(8!=l)return;return u},ym=function(e){var t,n,r,a;if("number"==typeof e){for(t=[],n=0;n<4;n++)t.unshift(e%256),e=$d(e/256);return t.join(".")}if("object"==typeof e){for(t="",r=function(e){for(var t=null,n=1,r=null,a=0,i=0;i<8;i++)0!==e[i]?(a>n&&(t=r,n=a),r=null,a=0):(null===r&&(r=i),++a);return a>n&&(t=r,n=a),t}(e),n=0;n<8;n++)a&&0===e[n]||(a&&(a=!1),r===n?(t+=n?":":"::",a=!0):(t+=e[n].toString(16),n<7&&(t+=":")));return"["+t+"]"}return e},bm={},xm=Fa({},bm,{" ":1,'"':1,"<":1,">":1,"`":1}),wm=Fa({},xm,{"#":1,"?":1,"{":1,"}":1}),km=Fa({},wm,{"/":1,":":1,";":1,"=":1,"@":1,"[":1,"\\":1,"]":1,"^":1,"|":1}),Nm=function(e,t){var n=Kd(e,0);return n>32&&n<127&&!x(t,e)?e:encodeURIComponent(e)},Im={ftp:21,file:null,http:80,https:443,ws:80,wss:443},Sm=function(e){return x(Im,e.scheme)},Tm=function(e){return""!=e.username||""!=e.password},Em=function(e){return!e.host||e.cannotBeABaseURL||"file"==e.scheme},Cm=function(e,t){var n;return 2==e.length&&am.test(e.charAt(0))&&(":"==(n=e.charAt(1))||!t&&"|"==n)},Rm=function(e){var t;return e.length>1&&Cm(e.slice(0,2))&&(2==e.length||"/"===(t=e.charAt(2))||"\\"===t||"?"===t||"#"===t)},Am=function(e){var t=e.path,n=t.length;!n||"file"==e.scheme&&1==n&&Cm(t[0],!0)||t.pop()},_m=function(e){return"."===e||"%2e"===e.toLowerCase()},Fm={},Dm={},Om={},Mm={},Lm={},zm={},Pm={},Bm={},Wm={},Um={},Vm={},Gm={},jm={},Hm={},qm={},Km={},Xm={},Ym={},Jm={},Zm={},Qm={},$m=function(e,t,n,r){var a,i,o,s,u,l=n||Fm,c=0,p="",h=!1,f=!1,d=!1;for(n||(e.scheme="",e.username="",e.password="",e.host=null,e.port=null,e.path=[],e.query=null,e.fragment=null,e.cannotBeABaseURL=!1,t=t.replace(fm,"")),t=t.replace(dm,""),a=Cn(t);c<=a.length;){switch(i=a[c],l){case Fm:if(!i||!am.test(i)){if(n)return tm;l=Om;continue}p+=i.toLowerCase(),l=Dm;break;case Dm:if(i&&(im.test(i)||"+"==i||"-"==i||"."==i))p+=i.toLowerCase();else{if(":"!=i){if(n)return tm;p="",l=Om,c=0;continue}if(n&&(Sm(e)!=x(Im,p)||"file"==p&&(Tm(e)||null!==e.port)||"file"==e.scheme&&!e.host))return;if(e.scheme=p,n)return void(Sm(e)&&Im[e.scheme]==e.port&&(e.port=null));p="","file"==e.scheme?l=Hm:Sm(e)&&r&&r.scheme==e.scheme?l=Mm:Sm(e)?l=Bm:"/"==a[c+1]?(l=Lm,c++):(e.cannotBeABaseURL=!0,e.path.push(""),l=Jm)}break;case Om:if(!r||r.cannotBeABaseURL&&"#"!=i)return tm;if(r.cannotBeABaseURL&&"#"==i){e.scheme=r.scheme,e.path=r.path.slice(),e.query=r.query,e.fragment="",e.cannotBeABaseURL=!0,l=Qm;break}l="file"==r.scheme?Hm:zm;continue;case Mm:if("/"!=i||"/"!=a[c+1]){l=zm;continue}l=Wm,c++;break;case Lm:if("/"==i){l=Um;break}l=Ym;continue;case zm:if(e.scheme=r.scheme,i==Hd)e.username=r.username,e.password=r.password,e.host=r.host,e.port=r.port,e.path=r.path.slice(),e.query=r.query;else if("/"==i||"\\"==i&&Sm(e))l=Pm;else if("?"==i)e.username=r.username,e.password=r.password,e.host=r.host,e.port=r.port,e.path=r.path.slice(),e.query="",l=Zm;else{if("#"!=i){e.username=r.username,e.password=r.password,e.host=r.host,e.port=r.port,e.path=r.path.slice(),e.path.pop(),l=Ym;continue}e.username=r.username,e.password=r.password,e.host=r.host,e.port=r.port,e.path=r.path.slice(),e.query=r.query,e.fragment="",l=Qm}break;case Pm:if(!Sm(e)||"/"!=i&&"\\"!=i){if("/"!=i){e.username=r.username,e.password=r.password,e.host=r.host,e.port=r.port,l=Ym;continue}l=Um}else l=Wm;break;case Bm:if(l=Wm,"/"!=i||"/"!=p.charAt(c+1))continue;c++;break;case Wm:if("/"!=i&&"\\"!=i){l=Um;continue}break;case Um:if("@"==i){h&&(p="%40"+p),h=!0,o=Cn(p);for(var m=0;m<o.length;m++){var v=o[m];if(":"!=v||d){var g=Nm(v,km);d?e.password+=g:e.username+=g}else d=!0}p=""}else if(i==Hd||"/"==i||"?"==i||"#"==i||"\\"==i&&Sm(e)){if(h&&""==p)return"Invalid authority";c-=Cn(p).length+1,p="",l=Vm}else p+=i;break;case Vm:case Gm:if(n&&"file"==e.scheme){l=Km;continue}if(":"!=i||f){if(i==Hd||"/"==i||"?"==i||"#"==i||"\\"==i&&Sm(e)){if(Sm(e)&&""==p)return nm;if(n&&""==p&&(Tm(e)||null!==e.port))return;if(s=mm(e,p))return s;if(p="",l=Xm,n)return;continue}"["==i?f=!0:"]"==i&&(f=!1),p+=i}else{if(""==p)return nm;if(s=mm(e,p))return s;if(p="",l=jm,n==Gm)return}break;case jm:if(!om.test(i)){if(i==Hd||"/"==i||"?"==i||"#"==i||"\\"==i&&Sm(e)||n){if(""!=p){var y=parseInt(p,10);if(y>65535)return rm;e.port=Sm(e)&&y===Im[e.scheme]?null:y,p=""}if(n)return;l=Xm;continue}return rm}p+=i;break;case Hm:if(e.scheme="file","/"==i||"\\"==i)l=qm;else{if(!r||"file"!=r.scheme){l=Ym;continue}if(i==Hd)e.host=r.host,e.path=r.path.slice(),e.query=r.query;else if("?"==i)e.host=r.host,e.path=r.path.slice(),e.query="",l=Zm;else{if("#"!=i){Rm(a.slice(c).join(""))||(e.host=r.host,e.path=r.path.slice(),Am(e)),l=Ym;continue}e.host=r.host,e.path=r.path.slice(),e.query=r.query,e.fragment="",l=Qm}}break;case qm:if("/"==i||"\\"==i){l=Km;break}r&&"file"==r.scheme&&!Rm(a.slice(c).join(""))&&(Cm(r.path[0],!0)?e.path.push(r.path[0]):e.host=r.host),l=Ym;continue;case Km:if(i==Hd||"/"==i||"\\"==i||"?"==i||"#"==i){if(!n&&Cm(p))l=Ym;else if(""==p){if(e.host="",n)return;l=Xm}else{if(s=mm(e,p))return s;if("localhost"==e.host&&(e.host=""),n)return;p="",l=Xm}continue}p+=i;break;case Xm:if(Sm(e)){if(l=Ym,"/"!=i&&"\\"!=i)continue}else if(n||"?"!=i)if(n||"#"!=i){if(i!=Hd&&(l=Ym,"/"!=i))continue}else e.fragment="",l=Qm;else e.query="",l=Zm;break;case Ym:if(i==Hd||"/"==i||"\\"==i&&Sm(e)||!n&&("?"==i||"#"==i)){if(".."===(u=(u=p).toLowerCase())||"%2e."===u||".%2e"===u||"%2e%2e"===u?(Am(e),"/"==i||"\\"==i&&Sm(e)||e.path.push("")):_m(p)?"/"==i||"\\"==i&&Sm(e)||e.path.push(""):("file"==e.scheme&&!e.path.length&&Cm(p)&&(e.host&&(e.host=""),p=p.charAt(0)+":"),e.path.push(p)),p="","file"==e.scheme&&(i==Hd||"?"==i||"#"==i))for(;e.path.length>1&&""===e.path[0];)e.path.shift();"?"==i?(e.query="",l=Zm):"#"==i&&(e.fragment="",l=Qm)}else p+=Nm(i,wm);break;case Jm:"?"==i?(e.query="",l=Zm):"#"==i?(e.fragment="",l=Qm):i!=Hd&&(e.path[0]+=Nm(i,bm));break;case Zm:n||"#"!=i?i!=Hd&&("'"==i&&Sm(e)?e.query+="%27":e.query+="#"==i?"%23":Nm(i,bm)):(e.fragment="",l=Qm);break;case Qm:i!=Hd&&(e.fragment+=Nm(i,xm))}c++}},ev=function(e){var t,n,r=Rl(this,ev,"URL"),a=arguments.length>1?arguments[1]:void 0,i=String(e),s=Zd(r,{type:"URL"});if(void 0!==a)if(a instanceof ev)t=Qd(a);else if(n=$m(t={},String(a)))throw TypeError(n);if(n=$m(s,i,null,t))throw TypeError(n);var u=s.searchParams=new Yd,l=Jd(u);l.updateSearchParams(s.query),l.updateURL=function(){s.query=String(u)||null},o||(r.href=nv.call(r),r.origin=rv.call(r),r.protocol=av.call(r),r.username=iv.call(r),r.password=ov.call(r),r.host=sv.call(r),r.hostname=uv.call(r),r.port=lv.call(r),r.pathname=cv.call(r),r.search=pv.call(r),r.searchParams=hv.call(r),r.hash=fv.call(r))},tv=ev.prototype,nv=function(){var e=Qd(this),t=e.scheme,n=e.username,r=e.password,a=e.host,i=e.port,o=e.path,s=e.query,u=e.fragment,l=t+":";return null!==a?(l+="//",Tm(e)&&(l+=n+(r?":"+r:"")+"@"),l+=ym(a),null!==i&&(l+=":"+i)):"file"==t&&(l+="//"),l+=e.cannotBeABaseURL?o[0]:o.length?"/"+o.join("/"):"",null!==s&&(l+="?"+s),null!==u&&(l+="#"+u),l},rv=function(){var e=Qd(this),t=e.scheme,n=e.port;if("blob"==t)try{return new URL(t.path[0]).origin}catch(e){return"null"}return"file"!=t&&Sm(e)?t+"://"+ym(e.host)+(null!==n?":"+n:""):"null"},av=function(){return Qd(this).scheme+":"},iv=function(){return Qd(this).username},ov=function(){return Qd(this).password},sv=function(){var e=Qd(this),t=e.host,n=e.port;return null===t?"":null===n?ym(t):ym(t)+":"+n},uv=function(){var e=Qd(this).host;return null===e?"":ym(e)},lv=function(){var e=Qd(this).port;return null===e?"":String(e)},cv=function(){var e=Qd(this),t=e.path;return e.cannotBeABaseURL?t[0]:t.length?"/"+t.join("/"):""},pv=function(){var e=Qd(this).query;return e?"?"+e:""},hv=function(){return Qd(this).searchParams},fv=function(){var e=Qd(this).fragment;return e?"#"+e:""},dv=function(e,t){return{get:e,set:t,configurable:!0,enumerable:!0}};if(o&&qe(tv,{href:dv(nv,(function(e){var t=Qd(this),n=String(e),r=$m(t,n);if(r)throw TypeError(r);Jd(t.searchParams).updateSearchParams(t.query)})),origin:dv(rv),protocol:dv(av,(function(e){var t=Qd(this);$m(t,String(e)+":",Fm)})),username:dv(iv,(function(e){var t=Qd(this),n=Cn(String(e));if(!Em(t)){t.username="";for(var r=0;r<n.length;r++)t.username+=Nm(n[r],km)}})),password:dv(ov,(function(e){var t=Qd(this),n=Cn(String(e));if(!Em(t)){t.password="";for(var r=0;r<n.length;r++)t.password+=Nm(n[r],km)}})),host:dv(sv,(function(e){var t=Qd(this);t.cannotBeABaseURL||$m(t,String(e),Vm)})),hostname:dv(uv,(function(e){var t=Qd(this);t.cannotBeABaseURL||$m(t,String(e),Gm)})),port:dv(lv,(function(e){var t=Qd(this);Em(t)||(""==(e=String(e))?t.port=null:$m(t,e,jm))})),pathname:dv(cv,(function(e){var t=Qd(this);t.cannotBeABaseURL||(t.path=[],$m(t,e+"",Xm))})),search:dv(pv,(function(e){var t=Qd(this);""==(e=String(e))?t.query=null:("?"==e.charAt(0)&&(e=e.slice(1)),t.query="",$m(t,e,Zm)),Jd(t.searchParams).updateSearchParams(t.query)})),searchParams:dv(hv),hash:dv(fv,(function(e){var t=Qd(this);""!=(e=String(e))?("#"==e.charAt(0)&&(e=e.slice(1)),t.fragment="",$m(t,e,Qm)):t.fragment=null}))}),re(tv,"toJSON",(function(){return nv.call(this)}),{enumerable:!0}),re(tv,"toString",(function(){return nv.call(this)}),{enumerable:!0}),Xd){var mv=Xd.createObjectURL,vv=Xd.revokeObjectURL;mv&&re(ev,"createObjectURL",(function(e){return mv.apply(Xd,arguments)})),vv&&re(ev,"revokeObjectURL",(function(e){return vv.apply(Xd,arguments)}))}ht(ev,"URL"),De({global:!0,forced:!pd,sham:!o},{URL:ev}),De({target:"URL",proto:!0,enumerable:!0},{toJSON:function(){return URL.prototype.toString.call(this)}});n((function(e){var t=function(e){var t,n=Object.prototype,r=n.hasOwnProperty,a="function"==typeof Symbol?Symbol:{},i=a.iterator||"@@iterator",o=a.asyncIterator||"@@asyncIterator",s=a.toStringTag||"@@toStringTag";function u(e,t,n){return Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}),e[t]}try{u({},"")}catch(e){u=function(e,t,n){return e[t]=n}}function l(e,t,n,r){var a=t&&t.prototype instanceof v?t:v,i=Object.create(a.prototype),o=new C(r||[]);return i._invoke=function(e,t,n){var r=p;return function(a,i){if(r===f)throw new Error("Generator is already running");if(r===d){if("throw"===a)throw i;return A()}for(n.method=a,n.arg=i;;){var o=n.delegate;if(o){var s=S(o,n);if(s){if(s===m)continue;return s}}if("next"===n.method)n.sent=n._sent=n.arg;else if("throw"===n.method){if(r===p)throw r=d,n.arg;n.dispatchException(n.arg)}else"return"===n.method&&n.abrupt("return",n.arg);r=f;var u=c(e,t,n);if("normal"===u.type){if(r=n.done?d:h,u.arg===m)continue;return{value:u.arg,done:n.done}}"throw"===u.type&&(r=d,n.method="throw",n.arg=u.arg)}}}(e,n,o),i}function c(e,t,n){try{return{type:"normal",arg:e.call(t,n)}}catch(e){return{type:"throw",arg:e}}}e.wrap=l;var p="suspendedStart",h="suspendedYield",f="executing",d="completed",m={};function v(){}function g(){}function y(){}var b={};b[i]=function(){return this};var x=Object.getPrototypeOf,w=x&&x(x(R([])));w&&w!==n&&r.call(w,i)&&(b=w);var k=y.prototype=v.prototype=Object.create(b);function N(e){["next","throw","return"].forEach((function(t){u(e,t,(function(e){return this._invoke(t,e)}))}))}function I(e,t){function n(a,i,o,s){var u=c(e[a],e,i);if("throw"!==u.type){var l=u.arg,p=l.value;return p&&"object"==typeof p&&r.call(p,"__await")?t.resolve(p.__await).then((function(e){n("next",e,o,s)}),(function(e){n("throw",e,o,s)})):t.resolve(p).then((function(e){l.value=e,o(l)}),(function(e){return n("throw",e,o,s)}))}s(u.arg)}var a;this._invoke=function(e,r){function i(){return new t((function(t,a){n(e,r,t,a)}))}return a=a?a.then(i,i):i()}}function S(e,n){var r=e.iterator[n.method];if(r===t){if(n.delegate=null,"throw"===n.method){if(e.iterator.return&&(n.method="return",n.arg=t,S(e,n),"throw"===n.method))return m;n.method="throw",n.arg=new TypeError("The iterator does not provide a 'throw' method")}return m}var a=c(r,e.iterator,n.arg);if("throw"===a.type)return n.method="throw",n.arg=a.arg,n.delegate=null,m;var i=a.arg;return i?i.done?(n[e.resultName]=i.value,n.next=e.nextLoc,"return"!==n.method&&(n.method="next",n.arg=t),n.delegate=null,m):i:(n.method="throw",n.arg=new TypeError("iterator result is not an object"),n.delegate=null,m)}function T(e){var t={tryLoc:e[0]};1 in e&&(t.catchLoc=e[1]),2 in e&&(t.finallyLoc=e[2],t.afterLoc=e[3]),this.tryEntries.push(t)}function E(e){var t=e.completion||{};t.type="normal",delete t.arg,e.completion=t}function C(e){this.tryEntries=[{tryLoc:"root"}],e.forEach(T,this),this.reset(!0)}function R(e){if(e){var n=e[i];if(n)return n.call(e);if("function"==typeof e.next)return e;if(!isNaN(e.length)){var a=-1,o=function n(){for(;++a<e.length;)if(r.call(e,a))return n.value=e[a],n.done=!1,n;return n.value=t,n.done=!0,n};return o.next=o}}return{next:A}}function A(){return{value:t,done:!0}}return g.prototype=k.constructor=y,y.constructor=g,g.displayName=u(y,s,"GeneratorFunction"),e.isGeneratorFunction=function(e){var t="function"==typeof e&&e.constructor;return!!t&&(t===g||"GeneratorFunction"===(t.displayName||t.name))},e.mark=function(e){return Object.setPrototypeOf?Object.setPrototypeOf(e,y):(e.__proto__=y,u(e,s,"GeneratorFunction")),e.prototype=Object.create(k),e},e.awrap=function(e){return{__await:e}},N(I.prototype),I.prototype[o]=function(){return this},e.AsyncIterator=I,e.async=function(t,n,r,a,i){void 0===i&&(i=Promise);var o=new I(l(t,n,r,a),i);return e.isGeneratorFunction(n)?o:o.next().then((function(e){return e.done?e.value:o.next()}))},N(k),u(k,s,"Generator"),k[i]=function(){return this},k.toString=function(){return"[object Generator]"},e.keys=function(e){var t=[];for(var n in e)t.push(n);return t.reverse(),function n(){for(;t.length;){var r=t.pop();if(r in e)return n.value=r,n.done=!1,n}return n.done=!0,n}},e.values=R,C.prototype={constructor:C,reset:function(e){if(this.prev=0,this.next=0,this.sent=this._sent=t,this.done=!1,this.delegate=null,this.method="next",this.arg=t,this.tryEntries.forEach(E),!e)for(var n in this)"t"===n.charAt(0)&&r.call(this,n)&&!isNaN(+n.slice(1))&&(this[n]=t)},stop:function(){this.done=!0;var e=this.tryEntries[0].completion;if("throw"===e.type)throw e.arg;return this.rval},dispatchException:function(e){if(this.done)throw e;var n=this;function a(r,a){return s.type="throw",s.arg=e,n.next=r,a&&(n.method="next",n.arg=t),!!a}for(var i=this.tryEntries.length-1;i>=0;--i){var o=this.tryEntries[i],s=o.completion;if("root"===o.tryLoc)return a("end");if(o.tryLoc<=this.prev){var u=r.call(o,"catchLoc"),l=r.call(o,"finallyLoc");if(u&&l){if(this.prev<o.catchLoc)return a(o.catchLoc,!0);if(this.prev<o.finallyLoc)return a(o.finallyLoc)}else if(u){if(this.prev<o.catchLoc)return a(o.catchLoc,!0)}else{if(!l)throw new Error("try statement without catch or finally");if(this.prev<o.finallyLoc)return a(o.finallyLoc)}}}},abrupt:function(e,t){for(var n=this.tryEntries.length-1;n>=0;--n){var a=this.tryEntries[n];if(a.tryLoc<=this.prev&&r.call(a,"finallyLoc")&&this.prev<a.finallyLoc){var i=a;break}}i&&("break"===e||"continue"===e)&&i.tryLoc<=t&&t<=i.finallyLoc&&(i=null);var o=i?i.completion:{};return o.type=e,o.arg=t,i?(this.method="next",this.next=i.finallyLoc,m):this.complete(o)},complete:function(e,t){if("throw"===e.type)throw e.arg;return"break"===e.type||"continue"===e.type?this.next=e.arg:"return"===e.type?(this.rval=this.arg=e.arg,this.method="return",this.next="end"):"normal"===e.type&&t&&(this.next=t),m},finish:function(e){for(var t=this.tryEntries.length-1;t>=0;--t){var n=this.tryEntries[t];if(n.finallyLoc===e)return this.complete(n.completion,n.afterLoc),E(n),m}},catch:function(e){for(var t=this.tryEntries.length-1;t>=0;--t){var n=this.tryEntries[t];if(n.tryLoc===e){var r=n.completion;if("throw"===r.type){var a=r.arg;E(n)}return a}}throw new Error("illegal catch attempt")},delegateYield:function(e,n,r){return this.delegate={iterator:R(e),resultName:n,nextLoc:r},"next"===this.method&&(this.arg=t),m}},e}(e.exports);try{regeneratorRuntime=t}catch(e){Function("r","regeneratorRuntime = r")(t)}}));function gv(e){this.wrapped=e}function yv(e){var t,n;function r(t,n){try{var i=e[t](n),o=i.value,s=o instanceof gv;Promise.resolve(s?o.wrapped:o).then((function(e){s?r("return"===t?"return":"next",e):a(i.done?"return":"normal",e)}),(function(e){r("throw",e)}))}catch(e){a("throw",e)}}function a(e,a){switch(e){case"return":t.resolve({value:a,done:!0});break;case"throw":t.reject(a);break;default:t.resolve({value:a,done:!1})}(t=t.next)?r(t.key,t.arg):n=null}this._invoke=function(e,a){return new Promise((function(i,o){var s={key:e,arg:a,resolve:i,reject:o,next:null};n?n=n.next=s:(t=n=s,r(e,a))}))},"function"!=typeof e.return&&(this.return=void 0)}function bv(e,t,n,r,a,i,o){try{var s=e[i](o),u=s.value}catch(e){return void n(e)}s.done?t(u):Promise.resolve(u).then(r,a)}function xv(e){return function(){var t=this,n=arguments;return new Promise((function(r,a){var i=e.apply(t,n);function o(e){bv(i,r,a,o,s,"next",e)}function s(e){bv(i,r,a,o,s,"throw",e)}o(void 0)}))}}function wv(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function kv(e,t,n){return t&&wv(e.prototype,t),n&&wv(e,n),e}function Nv(e,t){e.prototype=Object.create(t.prototype),e.prototype.constructor=e,Sv(e,t)}function Iv(e){return(Iv=Object.setPrototypeOf?Object.getPrototypeOf:function(e){return e.__proto__||Object.getPrototypeOf(e)})(e)}function Sv(e,t){return(Sv=Object.setPrototypeOf||function(e,t){return e.__proto__=t,e})(e,t)}function Tv(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Boolean.prototype.valueOf.call(Reflect.construct(Boolean,[],(function(){}))),!0}catch(e){return!1}}function Ev(e,t,n){return(Ev=Tv()?Reflect.construct:function(e,t,n){var r=[null];r.push.apply(r,t);var a=new(Function.bind.apply(e,r));return n&&Sv(a,n.prototype),a}).apply(null,arguments)}function Cv(e){var t="function"==typeof Map?new Map:void 0;return(Cv=function(e){if(null===e||(n=e,-1===Function.toString.call(n).indexOf("[native code]")))return e;var n;if("function"!=typeof e)throw new TypeError("Super expression must either be null or a function");if(void 0!==t){if(t.has(e))return t.get(e);t.set(e,r)}function r(){return Ev(e,arguments,Iv(this).constructor)}return r.prototype=Object.create(e.prototype,{constructor:{value:r,enumerable:!1,writable:!0,configurable:!0}}),Sv(r,e)})(e)}function Rv(e){if(void 0===e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return e}function Av(e,t){if(e){if("string"==typeof e)return _v(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);return"Object"===n&&e.constructor&&(n=e.constructor.name),"Map"===n||"Set"===n?Array.from(e):"Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)?_v(e,t):void 0}}function _v(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function Fv(e,t){var n;if("undefined"==typeof Symbol||null==e[Symbol.iterator]){if(Array.isArray(e)||(n=Av(e))||t&&e&&"number"==typeof e.length){n&&(e=n);var r=0;return function(){return r>=e.length?{done:!0}:{done:!1,value:e[r++]}}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}return(n=e[Symbol.iterator]()).next.bind(n)}"function"==typeof Symbol&&Symbol.asyncIterator&&(yv.prototype[Symbol.asyncIterator]=function(){return this}),yv.prototype.next=function(e){return this._invoke("next",e)},yv.prototype.throw=function(e){return this._invoke("throw",e)},yv.prototype.return=function(e){return this._invoke("return",e)};var Dv=function(){function e(e,t){this.backend=e,this.dataMover=t,this.data=new WeakMap,this.dataIdsCount=0}var t=e.prototype;return t.get=function(e){return this.data.has(e)||this.dataMover.moveData(this.backend,e),this.data.get(e)},t.set=function(e,t){this.dataIdsCount++,this.data.set(e,t)},t.has=function(e){return this.data.has(e)},t.delete=function(e){return this.dataIdsCount--,this.data.delete(e)},t.numDataIds=function(){return this.dataIdsCount},e}(),Ov=function(){function e(){}var t=e.prototype;return t.refCount=function(e){return Mv("refCount")},t.incRef=function(e){return Mv("incRef")},t.timerAvailable=function(){return!0},t.time=function(e){return Mv("time")},t.read=function(e){return Mv("read")},t.readSync=function(e){return Mv("readSync")},t.readToGPU=function(e,t){return Mv("readToGPU")},t.numDataIds=function(){return Mv("numDataIds")},t.disposeData=function(e,t){return Mv("disposeData")},t.write=function(e,t,n){return Mv("write")},t.move=function(e,t,n,r,a){return Mv("move")},t.memory=function(){return Mv("memory")},t.floatPrecision=function(){return Mv("floatPrecision")},t.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},t.dispose=function(){return Mv("dispose")},e}();function Mv(e){throw new Error("'"+e+"' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen")}function Lv(e){for(var t=e.length,n=0;t>0;)n=Math.random()*t|0,Bv(e,--t,n)}function zv(e,t,n){return Math.max(e,Math.min(t,n))}function Pv(e){return e%2==0?e:e+1}function Bv(e,t,n){var r=e[t];e[t]=e[n],e[n]=r}function Wv(e){for(var t=0,n=0;n<e.length;n++)t+=e[n];return t}function Uv(e,t){if(!e)throw new Error("string"==typeof t?t:t())}function Vv(e,t,n){void 0===n&&(n=""),Uv(qv(e,t),(function(){return n+" Shapes "+e+" and "+t+" must match"}))}function Gv(e){Uv(null!=e,(function(){return"The input to the tensor constructor must be a non-null value."}))}function jv(e,t,n){if(void 0===t&&(t=[]),void 0===n&&(n=!1),null==t&&(t=[]),Array.isArray(e)||ig(e)&&!n)for(var r=0;r<e.length;++r)jv(e[r],t,n);else t.push(e);return t}function Hv(e){if(0===e.length)return 1;for(var t=e[0],n=1;n<e.length;n++)t*=e[n];return t}function qv(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function Kv(e){return e%1==0}function Xv(e){var t=Math.ceil(Math.sqrt(e));return[t,Math.ceil(e/t)]}function Yv(e,t){return t<=e.length?e:e+" ".repeat(t-e.length)}function Jv(e,t,n){return void 0===t&&(t=function(e){return 0}),new Promise((function(r,a){var i=0;!function o(){if(e())r();else{i++;var s=t(i);null!=n&&i>=n?a():setTimeout(o,s)}}()}))}function Zv(e,t){for(var n=1,r=-1,a=0;a<e.length;++a)if(e[a]>=0)n*=e[a];else if(-1===e[a]){if(-1!==r)throw Error("Shapes can only have 1 implicit size. Found -1 at dim "+r+" and dim "+a);r=a}else if(e[a]<0)throw Error("Shapes can not be < 0. Found "+e[a]+" at dim "+a);if(-1===r){if(t>0&&t!==n)throw Error("Size("+t+") must match the product of shape "+e);return e}if(0===n)throw Error("Cannot infer the missing size in ["+e+"] when there are 0 elements");if(t%n!=0)throw Error("The implicit shape can't be a fractional number. Got "+t+" / "+n);var i=e.slice();return i[r]=t/n,i}function Qv(e,t){var n=t.length;return Uv((e=null==e?t.map((function(e,t){return t})):[].concat(e)).every((function(e){return e>=-n&&e<n})),(function(){return"All values in axis param must be in range [-"+n+", "+n+") but got axis "+e})),Uv(e.every((function(e){return Kv(e)})),(function(){return"All values in axis param must be integers but got axis "+e})),e.map((function(e){return e<0?n+e:e}))}function $v(e,t){for(var n=[],r=[],a=null!=t&&Array.isArray(t)&&0===t.length,i=null==t||a?null:Qv(t,e).sort(),o=0,s=0;s<e.length;++s){if(null!=i){if(i[o]===s&&1!==e[s])throw new Error("Can't squeeze axis "+s+" since its dim '"+e[s]+"' is not 1");(null==i[o]||i[o]>s)&&1===e[s]&&(n.push(e[s]),r.push(s)),i[o]<=s&&o++}1!==e[s]&&(n.push(e[s]),r.push(s))}return{newShape:n,keptDims:r}}function eg(e,t){var n=null;if(null==e||"float32"===e)n=new Float32Array(t);else if("int32"===e)n=new Int32Array(t);else{if("bool"!==e)throw new Error("Unknown data type "+e);n=new Uint8Array(t)}return n}function tg(e,t){var n=null;if(null==e||"float32"===e)n=new Float32Array(t);else if("int32"===e)n=new Int32Array(t);else if("bool"===e)n=new Uint8Array(t);else{if("string"!==e)throw new Error("Unknown data type "+e);n=new Array(t)}return n}function ng(e,t){for(var n=0;n<e.length;n++){var r=e[n];if(isNaN(r)||!isFinite(r))throw Error("A tensor of type "+t+" being uploaded contains "+r+".")}}function rg(e){return"bool"===e||"complex64"===e||"float32"===e||"int32"===e||"string"===e}function ag(e,t){return"complex64"!==t&&(("float32"!==t||"complex64"===e)&&(("int32"!==t||"float32"===e||"complex64"===e)&&("bool"!==t||"bool"!==e)))}function ig(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray}function og(e){if("float32"===e||"int32"===e)return 4;if("complex64"===e)return 8;if("bool"===e)return 1;throw new Error("Unknown dtype "+e)}function sg(e){if(null==e)return 0;var t=0;return e.forEach((function(e){return t+=e.length})),t}function ug(e){return"string"==typeof e||e instanceof String}function lg(e){return"boolean"==typeof e}function cg(e){return"number"==typeof e}function pg(e){return Array.isArray(e)?pg(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":cg(e)?"float32":ug(e)?"string":lg(e)?"bool":"float32"}function hg(e){return!!(e&&e.constructor&&e.call&&e.apply)}function fg(e,t){for(var n=t;n<e;++n)if(e%n==0)return n;return e}function dg(e){var t=e.length;if(t<2)return[];var n=new Array(t-1);n[t-2]=e[t-1];for(var r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}function mg(e,t,n,r){void 0===r&&(r=!1);var a=new Array;if(1===t.length)for(var i=t[0]*(r?2:1),o=0;o<i;o++)a[o]=n[e+o];else for(var s=t[0],u=t.slice(1),l=u.reduce((function(e,t){return e*t}))*(r?2:1),c=0;c<s;c++)a[c]=mg(e+c*l,u,n,r);return a}function vg(e,t,n){if(void 0===n&&(n=!1),0===e.length)return t[0];var r=e.reduce((function(e,t){return e*t}))*(n?2:1);if(0===r)return[];if(r!==t.length)throw new Error("["+e+"] does not match the input size "+t.length+(n?" for a complex tensor":"")+".");return mg(0,e,t,n)}function gg(e,t){for(var n=yg(e,t),r=0;r<n.length;r++)n[r]=1;return n}function yg(e,t){if(null==t||"float32"===t||"complex64"===t)return new Float32Array(e);if("int32"===t)return new Int32Array(e);if("bool"===t)return new Uint8Array(e);throw new Error("Unknown data type "+t)}function bg(e,t){var n=e.reduce((function(e,t){return e*t}),1);if(null==t||"float32"===t)return vg(e,new Float32Array(n));if("int32"===t)return vg(e,new Int32Array(n));if("bool"===t)return vg(e,new Uint8Array(n));throw new Error("Unknown data type "+t)}function xg(e){e.forEach((function(t){Uv(Number.isInteger(t)&&t>=0,(function(){return"Tensor must have a shape comprised of positive integers but got shape ["+e+"]."}))}))}function wg(e,t,n){if(0===t)return 0;if(1===t)return e[0];for(var r=e[e.length-1],a=0;a<e.length-1;++a)r+=n[a]*e[a];return r}function kg(e,t,n){if(0===t)return[];if(1===t)return[e];for(var r=new Array(t),a=0;a<r.length-1;++a)r[a]=Math.floor(e/n[a]),e-=r[a]*n[a];return r[r.length-1]=e,r}function Ng(e){return e&&e.then&&"function"==typeof e.then}var Ig,Sg="tfjsflags",Tg=function(){function e(e){this.global=e,this.flags={},this.flagRegistry={},this.urlFlags={},this.getQueryParams=Eg,this.populateURLFlags()}var t=e.prototype;return t.setPlatform=function(e,t){null!=this.platform&&(Rg().getBool("IS_TEST")||Rg().getBool("PROD")||console.warn("Platform "+this.platformName+" has already been set. Overwriting the platform with "+e+".")),this.platformName=e,this.platform=t},t.registerFlag=function(e,t,n){if(this.flagRegistry[e]={evaluationFn:t,setHook:n},null!=this.urlFlags[e]){var r=this.urlFlags[e];Rg().getBool("IS_TEST")||Rg().getBool("PROD")||console.warn("Setting feature override from URL "+e+": "+r+"."),this.set(e,r)}},t.getAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(t in this.flags)){e.next=2;break}return e.abrupt("return",this.flags[t]);case 2:return e.next=4,this.evaluateFlag(t);case 4:return this.flags[t]=e.sent,e.abrupt("return",this.flags[t]);case 6:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.get=function(e){if(e in this.flags)return this.flags[e];var t=this.evaluateFlag(e);if(Ng(t))throw new Error("Flag "+e+" cannot be synchronously evaluated. Please use getAsync() instead.");return this.flags[e]=t,this.flags[e]},t.getNumber=function(e){return this.get(e)},t.getBool=function(e){return this.get(e)},t.getFlags=function(){return this.flags},t.set=function(e,t){if(null==this.flagRegistry[e])throw new Error("Cannot set flag "+e+" as it has not been registered.");this.flags[e]=t,null!=this.flagRegistry[e].setHook&&this.flagRegistry[e].setHook(t)},t.evaluateFlag=function(e){if(null==this.flagRegistry[e])throw new Error("Cannot evaluate flag '"+e+"': no evaluation function found.");return this.flagRegistry[e].evaluationFn()},t.setFlags=function(e){this.flags=Object.assign({},e)},t.reset=function(){this.flags={},this.urlFlags={},this.populateURLFlags()},t.populateURLFlags=function(){var e=this;if(void 0!==this.global&&void 0!==this.global.location&&void 0!==this.global.location.search){var t=this.getQueryParams(this.global.location.search);if(Sg in t)t.tfjsflags.split(",").forEach((function(t){var n=t.split(":"),r=n[0],a=n[1];e.urlFlags[r]=function(e,t){if("true"===(t=t.toLowerCase())||"false"===t)return"true"===t;if(""+ +t===t)return+t;throw new Error("Could not parse value flag value "+t+" for flag "+e+".")}(r,a)}))}},kv(e,[{key:"features",get:function(){return this.flags}}]),e}();function Eg(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,(function(e){for(var n=arguments.length,r=new Array(n>1?n-1:0),a=1;a<n;a++)r[a-1]=arguments[a];return Cg(t,r[0],r[1]),r.join("=")})),t}function Cg(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||"")}function Rg(){return e.ENV}function Ag(){if(null==Ig){var e;if("undefined"!=typeof window)e=window;else if("undefined"!=typeof global)e=global;else if("undefined"!=typeof process)e=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");e=self}Ig=e}return Ig}function _g(e,t){var n,r=(null==(n=Ag())._tfGlobals&&(n._tfGlobals=new Map),n._tfGlobals);if(r.has(e))return r.get(e);var a=t();return r.set(e,a),r.get(e)}e.ENV=null;var Fg="Abs",Dg="Acos",Og="Acosh",Mg="Add",Lg="AddN",zg="All",Pg="Any",Bg="ArgMax",Wg="ArgMin",Ug="Asin",Vg="Asinh",Gg="Atan",jg="Atanh",Hg="Atan2",qg="AvgPool",Kg="AvgPoolGrad",Xg="AvgPool3D",Yg="AvgPool3DGrad",Jg="BatchMatMul",Zg="BatchToSpaceND",Qg="Bincount",$g="BroadcastTo",ey="BroadcastArgs",ty="Cast",ny="Ceil",ry="ClipByValue",ay="Complex",iy="ComplexAbs",oy="Concat",sy="Conv2D",uy="Conv2DBackpropFilter",ly="Conv2DBackpropInput",cy="Conv3D",py="Conv3DBackpropFilterV2",hy="Conv3DBackpropInputV2",fy="Cos",dy="Cosh",my="Cumsum",vy="CropAndResize",gy="DenseBincount",yy="DepthToSpace",by="DepthwiseConv2dNative",xy="DepthwiseConv2dNativeBackpropFilter",wy="DepthwiseConv2dNativeBackpropInput",ky="Diag",Ny="Dilation2D",Iy="Dilation2DBackpropInput",Sy="Dilation2DBackpropFilter",Ty="RealDiv",Ey="Einsum",Cy="Elu",Ry="EluGrad",Ay="Erf",_y="Equal",Fy="Exp",Dy="ExpandDims",Oy="Expm1",My="FFT",Ly="Fill",zy="FlipLeftRight",Py="Floor",By="FloorDiv",Wy="FusedBatchNorm",Uy="GatherV2",Vy="GatherNd",Gy="Greater",jy="GreaterEqual",Hy="Identity",qy="IFFT",Ky="Imag",Xy="IsFinite",Yy="IsInf",Jy="IsNan",Zy="LeakyRelu",Qy="Less",$y="LessEqual",eb="LinSpace",tb="Log",nb="Log1p",rb="LogicalAnd",ab="LogicalNot",ib="LogicalOr",ob="LogSoftmax",sb="LRN",ub="LRNGrad",lb="Max",cb="Maximum",pb="MaxPool",hb="MaxPoolGrad",fb="MaxPool3D",db="MaxPool3DGrad",mb="MaxPoolWithArgmax",vb="Mean",gb="Min",yb="Minimum",bb="MirrorPad",xb="Mod",wb="Multinomial",kb="Multiply",Nb="Neg",Ib="NotEqual",Sb="NonMaxSuppressionV3",Tb="NonMaxSuppressionV4",Eb="NonMaxSuppressionV5",Cb="OnesLike",Rb="OneHot",Ab="Pack",_b="PadV2",Fb="Pow",Db="Prelu",Ob="Prod",Mb="Range",Lb="Real",zb="Reciprocal",Pb="Relu",Bb="Reshape",Wb="ResizeNearestNeighbor",Ub="ResizeNearestNeighborGrad",Vb="ResizeBilinear",Gb="ResizeBilinearGrad",jb="Relu6",Hb="Reverse",qb="Round",Kb="Rsqrt",Xb="ScatterNd",Yb="Select",Jb="Selu",Zb="Slice",Qb="Sin",$b="Sinh",ex="Sign",tx="Sigmoid",nx="Softplus",rx="Sqrt",ax="Sum",ix="SpaceToBatchND",ox="SplitV",sx="Softmax",ux="SparseFillEmptyRows",lx="SparseReshape",cx="SparseSegmentMean",px="SparseSegmentSum",hx="SparseToDense",fx="SquaredDifference",dx="Square",mx="StridedSlice",vx="StringNGrams",gx="StringSplit",yx="StringToHashBucketFast",bx="Sub",xx="Tan",wx="Tanh",kx="Tile",Nx="TopK",Ix="Transform",Sx="Transpose",Tx="Unique",Ex="Unpack",Cx="UnsortedSegmentSum",Rx="ZerosLike",Ax="Step",_x="FromPixels",Fx="RotateWithOffset",Dx="_FusedMatMul",Ox="FusedConv2D",Mx="FusedDepthwiseConv2D";function Lx(){var e;Rg().getBool("IS_TEST")||Rg().getBool("PROD")||(e=console).warn.apply(e,arguments)}var zx=_g("kernelRegistry",(function(){return new Map})),Px=_g("gradRegistry",(function(){return new Map}));function Bx(e,t){var n=jx(e,t);return zx.get(n)}function Wx(e){return Px.get(e)}function Ux(e){for(var t=zx.entries(),n=[];;){var r=t.next(),a=r.done,i=r.value;if(a)break;var o=i[0],s=i[1];o.split("_")[0]===e&&n.push(s)}return n}function Vx(e){var t=e.kernelName,n=e.backendName,r=jx(t,n);zx.has(r)&&Lx("The kernel '"+t+"' for backend '"+n+"' is already registered"),zx.set(r,e)}function Gx(e){var t=e.kernelName;Px.has(t)&&Rg().getBool("DEBUG")&&Lx("Overriding the gradient for '"+t+"'"),Px.set(t,e)}function jx(e,t){return t+"_"+e}var Hx=Kx,qx=null;try{qx=new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([0,97,115,109,1,0,0,0,1,13,2,96,0,1,127,96,4,127,127,127,127,1,127,3,7,6,0,1,1,1,1,1,6,6,1,127,1,65,0,11,7,50,6,3,109,117,108,0,1,5,100,105,118,95,115,0,2,5,100,105,118,95,117,0,3,5,114,101,109,95,115,0,4,5,114,101,109,95,117,0,5,8,103,101,116,95,104,105,103,104,0,0,10,191,1,6,4,0,35,0,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,126,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,127,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,128,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,129,34,4,66,32,135,167,36,0,32,4,167,11,36,1,1,126,32,0,173,32,1,173,66,32,134,132,32,2,173,32,3,173,66,32,134,132,130,34,4,66,32,135,167,36,0,32,4,167,11])),{}).exports}catch(e){}function Kx(e,t,n){this.low=0|e,this.high=0|t,this.unsigned=!!n}function Xx(e){return!0===(e&&e.__isLong__)}Kx.prototype.__isLong__,Object.defineProperty(Kx.prototype,"__isLong__",{value:!0}),Kx.isLong=Xx;var Yx={},Jx={};function Zx(e,t){var n,r,a;return t?(a=0<=(e>>>=0)&&e<256)&&(r=Jx[e])?r:(n=$x(e,(0|e)<0?-1:0,!0),a&&(Jx[e]=n),n):(a=-128<=(e|=0)&&e<128)&&(r=Yx[e])?r:(n=$x(e,e<0?-1:0,!1),a&&(Yx[e]=n),n)}function Qx(e,t){if(isNaN(e))return t?uw:sw;if(t){if(e<0)return uw;if(e>=aw)return fw}else{if(e<=-iw)return dw;if(e+1>=iw)return hw}return e<0?Qx(-e,t).neg():$x(e%rw|0,e/rw|0,t)}function $x(e,t,n){return new Kx(e,t,n)}Kx.fromInt=Zx,Kx.fromNumber=Qx,Kx.fromBits=$x;var ew=Math.pow;function tw(e,t,n){if(0===e.length)throw Error("empty string");if("NaN"===e||"Infinity"===e||"+Infinity"===e||"-Infinity"===e)return sw;if("number"==typeof t?(n=t,t=!1):t=!!t,(n=n||10)<2||36<n)throw RangeError("radix");var r;if((r=e.indexOf("-"))>0)throw Error("interior hyphen");if(0===r)return tw(e.substring(1),t,n).neg();for(var a=Qx(ew(n,8)),i=sw,o=0;o<e.length;o+=8){var s=Math.min(8,e.length-o),u=parseInt(e.substring(o,o+s),n);if(s<8){var l=Qx(ew(n,s));i=i.mul(l).add(Qx(u))}else i=(i=i.mul(a)).add(Qx(u))}return i.unsigned=t,i}function nw(e,t){return"number"==typeof e?Qx(e,t):"string"==typeof e?tw(e,t):$x(e.low,e.high,"boolean"==typeof t?t:e.unsigned)}Kx.fromString=tw,Kx.fromValue=nw;var rw=4294967296,aw=rw*rw,iw=aw/2,ow=Zx(1<<24),sw=Zx(0);Kx.ZERO=sw;var uw=Zx(0,!0);Kx.UZERO=uw;var lw=Zx(1);Kx.ONE=lw;var cw=Zx(1,!0);Kx.UONE=cw;var pw=Zx(-1);Kx.NEG_ONE=pw;var hw=$x(-1,2147483647,!1);Kx.MAX_VALUE=hw;var fw=$x(-1,-1,!0);Kx.MAX_UNSIGNED_VALUE=fw;var dw=$x(0,-2147483648,!1);Kx.MIN_VALUE=dw;var mw=Kx.prototype;mw.toInt=function(){return this.unsigned?this.low>>>0:this.low},mw.toNumber=function(){return this.unsigned?(this.high>>>0)*rw+(this.low>>>0):this.high*rw+(this.low>>>0)},mw.toString=function(e){if((e=e||10)<2||36<e)throw RangeError("radix");if(this.isZero())return"0";if(this.isNegative()){if(this.eq(dw)){var t=Qx(e),n=this.div(t),r=n.mul(t).sub(this);return n.toString(e)+r.toInt().toString(e)}return"-"+this.neg().toString(e)}for(var a=Qx(ew(e,6),this.unsigned),i=this,o="";;){var s=i.div(a),u=(i.sub(s.mul(a)).toInt()>>>0).toString(e);if((i=s).isZero())return u+o;for(;u.length<6;)u="0"+u;o=""+u+o}},mw.getHighBits=function(){return this.high},mw.getHighBitsUnsigned=function(){return this.high>>>0},mw.getLowBits=function(){return this.low},mw.getLowBitsUnsigned=function(){return this.low>>>0},mw.getNumBitsAbs=function(){if(this.isNegative())return this.eq(dw)?64:this.neg().getNumBitsAbs();for(var e=0!=this.high?this.high:this.low,t=31;t>0&&0==(e&1<<t);t--);return 0!=this.high?t+33:t+1},mw.isZero=function(){return 0===this.high&&0===this.low},mw.eqz=mw.isZero,mw.isNegative=function(){return!this.unsigned&&this.high<0},mw.isPositive=function(){return this.unsigned||this.high>=0},mw.isOdd=function(){return 1==(1&this.low)},mw.isEven=function(){return 0==(1&this.low)},mw.equals=function(e){return Xx(e)||(e=nw(e)),(this.unsigned===e.unsigned||this.high>>>31!=1||e.high>>>31!=1)&&(this.high===e.high&&this.low===e.low)},mw.eq=mw.equals,mw.notEquals=function(e){return!this.eq(e)},mw.neq=mw.notEquals,mw.ne=mw.notEquals,mw.lessThan=function(e){return this.comp(e)<0},mw.lt=mw.lessThan,mw.lessThanOrEqual=function(e){return this.comp(e)<=0},mw.lte=mw.lessThanOrEqual,mw.le=mw.lessThanOrEqual,mw.greaterThan=function(e){return this.comp(e)>0},mw.gt=mw.greaterThan,mw.greaterThanOrEqual=function(e){return this.comp(e)>=0},mw.gte=mw.greaterThanOrEqual,mw.ge=mw.greaterThanOrEqual,mw.compare=function(e){if(Xx(e)||(e=nw(e)),this.eq(e))return 0;var t=this.isNegative(),n=e.isNegative();return t&&!n?-1:!t&&n?1:this.unsigned?e.high>>>0>this.high>>>0||e.high===this.high&&e.low>>>0>this.low>>>0?-1:1:this.sub(e).isNegative()?-1:1},mw.comp=mw.compare,mw.negate=function(){return!this.unsigned&&this.eq(dw)?dw:this.not().add(lw)},mw.neg=mw.negate,mw.add=function(e){Xx(e)||(e=nw(e));var t=this.high>>>16,n=65535&this.high,r=this.low>>>16,a=65535&this.low,i=e.high>>>16,o=65535&e.high,s=e.low>>>16,u=0,l=0,c=0,p=0;return c+=(p+=a+(65535&e.low))>>>16,l+=(c+=r+s)>>>16,u+=(l+=n+o)>>>16,u+=t+i,$x((c&=65535)<<16|(p&=65535),(u&=65535)<<16|(l&=65535),this.unsigned)},mw.subtract=function(e){return Xx(e)||(e=nw(e)),this.add(e.neg())},mw.sub=mw.subtract,mw.multiply=function(e){if(this.isZero())return sw;if(Xx(e)||(e=nw(e)),qx)return $x(qx.mul(this.low,this.high,e.low,e.high),qx.get_high(),this.unsigned);if(e.isZero())return sw;if(this.eq(dw))return e.isOdd()?dw:sw;if(e.eq(dw))return this.isOdd()?dw:sw;if(this.isNegative())return e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(ow)&&e.lt(ow))return Qx(this.toNumber()*e.toNumber(),this.unsigned);var t=this.high>>>16,n=65535&this.high,r=this.low>>>16,a=65535&this.low,i=e.high>>>16,o=65535&e.high,s=e.low>>>16,u=65535&e.low,l=0,c=0,p=0,h=0;return p+=(h+=a*u)>>>16,c+=(p+=r*u)>>>16,p&=65535,c+=(p+=a*s)>>>16,l+=(c+=n*u)>>>16,c&=65535,l+=(c+=r*s)>>>16,c&=65535,l+=(c+=a*o)>>>16,l+=t*u+n*s+r*o+a*i,$x((p&=65535)<<16|(h&=65535),(l&=65535)<<16|(c&=65535),this.unsigned)},mw.mul=mw.multiply,mw.divide=function(e){if(Xx(e)||(e=nw(e)),e.isZero())throw Error("division by zero");var t,n,r;if(qx)return this.unsigned||-2147483648!==this.high||-1!==e.low||-1!==e.high?$x((this.unsigned?qx.div_u:qx.div_s)(this.low,this.high,e.low,e.high),qx.get_high(),this.unsigned):this;if(this.isZero())return this.unsigned?uw:sw;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return uw;if(e.gt(this.shru(1)))return cw;r=uw}else{if(this.eq(dw))return e.eq(lw)||e.eq(pw)?dw:e.eq(dw)?lw:(t=this.shr(1).div(e).shl(1)).eq(sw)?e.isNegative()?lw:pw:(n=this.sub(e.mul(t)),r=t.add(n.div(e)));if(e.eq(dw))return this.unsigned?uw:sw;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();r=sw}for(n=this;n.gte(e);){t=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var a=Math.ceil(Math.log(t)/Math.LN2),i=a<=48?1:ew(2,a-48),o=Qx(t),s=o.mul(e);s.isNegative()||s.gt(n);)s=(o=Qx(t-=i,this.unsigned)).mul(e);o.isZero()&&(o=lw),r=r.add(o),n=n.sub(s)}return r},mw.div=mw.divide,mw.modulo=function(e){return Xx(e)||(e=nw(e)),qx?$x((this.unsigned?qx.rem_u:qx.rem_s)(this.low,this.high,e.low,e.high),qx.get_high(),this.unsigned):this.sub(this.div(e).mul(e))},mw.mod=mw.modulo,mw.rem=mw.modulo,mw.not=function(){return $x(~this.low,~this.high,this.unsigned)},mw.and=function(e){return Xx(e)||(e=nw(e)),$x(this.low&e.low,this.high&e.high,this.unsigned)},mw.or=function(e){return Xx(e)||(e=nw(e)),$x(this.low|e.low,this.high|e.high,this.unsigned)},mw.xor=function(e){return Xx(e)||(e=nw(e)),$x(this.low^e.low,this.high^e.high,this.unsigned)},mw.shiftLeft=function(e){return Xx(e)&&(e=e.toInt()),0==(e&=63)?this:e<32?$x(this.low<<e,this.high<<e|this.low>>>32-e,this.unsigned):$x(0,this.low<<e-32,this.unsigned)},mw.shl=mw.shiftLeft,mw.shiftRight=function(e){return Xx(e)&&(e=e.toInt()),0==(e&=63)?this:e<32?$x(this.low>>>e|this.high<<32-e,this.high>>e,this.unsigned):$x(this.high>>e-32,this.high>=0?0:-1,this.unsigned)},mw.shr=mw.shiftRight,mw.shiftRightUnsigned=function(e){if(Xx(e)&&(e=e.toInt()),0===(e&=63))return this;var t=this.high;return e<32?$x(this.low>>>e|t<<32-e,t>>>e,this.unsigned):$x(32===e?t:t>>>e-32,0,this.unsigned)},mw.shru=mw.shiftRightUnsigned,mw.shr_u=mw.shiftRightUnsigned,mw.toSigned=function(){return this.unsigned?$x(this.low,this.high,!1):this},mw.toUnsigned=function(){return this.unsigned?this:$x(this.low,this.high,!0)},mw.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()},mw.toBytesLE=function(){var e=this.high,t=this.low;return[255&t,t>>>8&255,t>>>16&255,t>>>24,255&e,e>>>8&255,e>>>16&255,e>>>24]},mw.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,255&e,t>>>24,t>>>16&255,t>>>8&255,255&t]},Kx.fromBytes=function(e,t,n){return n?Kx.fromBytesLE(e,t):Kx.fromBytesBE(e,t)},Kx.fromBytesLE=function(e,t){return new Kx(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)},Kx.fromBytesBE=function(e,t){return new Kx(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)};var vw=Hx||{__proto__:null,default:Hx,__moduleExports:Hx};function gw(e){return vw.fromString(e,!0,16)}var yw=gw("c3a5c85c97cb3127"),bw=gw("b492b66fbe98f273"),xw=gw("9ae16a3b2f90404f");function ww(e){return e.xor(e.shru(47))}function kw(e,t,n){var r=e.slice(t,t+n);return vw.fromBytes(Array.from(r),!0,!0)}function Nw(e,t){return kw(e,t,8)}function Iw(e,t){return kw(e,t,4)}function Sw(e,t){return 0===t?e:e.shru(t).or(e.shl(64-t))}function Tw(e,t,n){void 0===n&&(n=gw("9ddfea08eb382d69"));var r=e.xor(t).mul(n);r=r.xor(r.shru(47));var a=t.xor(r).mul(n);return a=(a=a.xor(a.shru(47))).mul(n)}function Ew(e,t,n,r){return function(e,t,n,r,a,i){a=a.add(e),i=Sw(i.add(a).add(r),21);var o=a;return a=(a=a.add(t)).add(n),i=i.add(Sw(a,44)),[a.add(r),i.add(o)]}(Nw(e,t),Nw(e,t+8),Nw(e,t+16),Nw(e,t+24),n,r)}function Cw(e,t){void 0===t&&(t=e.length);var n=vw.fromNumber(81,!0);if(t<=32)return t<=16?function(e,t){if(void 0===t&&(t=e.length),t>=8){var n=xw.add(2*t),r=Nw(e,0).add(xw),a=Nw(e,t-8);return Tw(Sw(a,37).mul(n).add(r),Sw(r,25).add(a).mul(n),n)}if(t>=4){var i=xw.add(2*t);return Tw(Iw(e,0).shl(3).add(t),Iw(e,t-4),i)}if(t>0){var o=e[0]+(e[t>>1]<<8),s=t+(e[t-1]<<2);return ww(xw.mul(o).xor(yw.mul(s))).mul(xw)}return xw}(e,t):function(e,t){void 0===t&&(t=e.length);var n=xw.add(2*t),r=Nw(e,0).mul(bw),a=Nw(e,8),i=Nw(e,t-8).mul(n),o=Nw(e,t-16).mul(xw);return Tw(Sw(r.add(a),43).add(Sw(i,30)).add(o),r.add(Sw(a.add(xw),18)).add(i),n)}(e,t);if(t<=64)return function(e,t){void 0===t&&(t=e.length);var n=xw.add(2*t),r=Nw(e,0).mul(xw),a=Nw(e,8),i=Nw(e,t-8).mul(n),o=Nw(e,t-16).mul(xw),s=Sw(r.add(a),43).add(Sw(i,30)).add(o),u=Tw(s,r.add(Sw(a.add(xw),18)).add(i),n),l=Nw(e,16).mul(n),c=Nw(e,24),p=s.add(Nw(e,t-32)).mul(n),h=u.add(Nw(e,t-24)).mul(n);return Tw(Sw(l.add(c),43).add(Sw(p,30)).add(h),l.add(Sw(c.add(r),18)).add(p),n)}(e,t);var r=n,a=n.mul(bw).add(113),i=ww(a.mul(xw).add(113)).mul(xw),o=[vw.UZERO,vw.UZERO],s=[vw.UZERO,vw.UZERO];r=r.mul(xw).add(Nw(e,0));var u=0,l=64*(t-1>>6),c=l+(t-1&63)-63;do{r=Sw(r.add(a).add(o[0]).add(Nw(e,u+8)),37).mul(bw),a=Sw(a.add(o[1]).add(Nw(e,u+48)),42).mul(bw),r=r.xor(s[1]),a=a.add(o[0]).add(Nw(e,u+40)),i=Sw(i.add(s[0]),33).mul(bw),o=Ew(e,u,o[1].mul(bw),r.add(s[0])),s=Ew(e,u+32,i.add(s[1]),a.add(Nw(e,u+16)));var p=[r,i];i=p[0],r=p[1],u+=64}while(u!==l);var h=bw.add(i.and(255).shl(1));u=c,s[0]=s[0].add(t-1&63),o[0]=o[0].add(s[0]),s[0]=s[0].add(o[0]),r=Sw(r.add(a).add(o[0]).add(Nw(e,u+8)),37).mul(h),a=Sw(a.add(o[1]).add(Nw(e,u+48)),42).mul(h),r=r.xor(s[1].mul(9)),a=a.add(o[0].mul(9).add(Nw(e,u+40))),i=Sw(i.add(s[0]),33).mul(h),o=Ew(e,u,o[1].mul(h),r.add(s[0])),s=Ew(e,u+32,i.add(s[1]),a.add(Nw(e,u+16)));var f=[r,i];return i=f[0],r=f[1],Tw(Tw(o[0],s[0],h).add(ww(a).mul(yw)).add(i),Tw(o[1],s[1],h).add(r),h)}function Rw(e,t){return"string"===t?Dw(e):Aw([e],t)}function Aw(e,t){if("string"===t)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=jv(e)),Rg().getBool("DEBUG")&&ng(e,t),function(e,t){return e instanceof Float32Array&&"float32"===t||e instanceof Int32Array&&"int32"===t||e instanceof Uint8Array&&"bool"===t}(e,t))return e;if(null==t||"float32"===t||"complex64"===t)return new Float32Array(e);if("int32"===t)return new Int32Array(e);if("bool"===t){for(var n=new Uint8Array(e.length),r=0;r<n.length;++r)0!==Math.round(e[r])&&(n[r]=1);return n}throw new Error("Unknown data type "+t)}function _w(){return Rg().platform.now()}function Fw(e,t){return Rg().platform.fetch(e,t)}function Dw(e,t){return void 0===t&&(t="utf-8"),t=t||"utf-8",Rg().platform.encode(e,t)}function Ow(e,t){return void 0===t&&(t="utf-8"),t=t||"utf-8",Rg().platform.decode(e,t)}var Mw={__proto__:null,createScalarValue:Rw,toTypedArray:Aw,now:_w,fetch:Fw,encodeString:Dw,decodeString:Ow,shuffle:Lv,shuffleCombo:function(e,t){if(e.length!==t.length)throw new Error("Array sizes must match to be shuffled together First array length was "+e.length+"Second array length was "+t.length);for(var n=e.length,r=0;n>0;)r=Math.random()*n|0,Bv(e,--n,r),Bv(t,n,r)},clamp:zv,nearestLargerEven:Pv,swap:Bv,sum:Wv,randUniform:function(e,t){var n=Math.random();return t*n+(1-n)*e},distSquared:function(e,t){for(var n=0,r=0;r<e.length;r++){var a=Number(e[r])-Number(t[r]);n+=a*a}return n},assert:Uv,assertShapesMatch:Vv,assertNonNull:Gv,flatten:jv,sizeFromShape:Hv,isScalarShape:function(e){return 0===e.length},arraysEqual:qv,isInt:Kv,tanh:function(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)},sizeToSquarishShape:Xv,createShuffledIndices:function(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return Lv(t),t},rightPad:Yv,repeatedTry:Jv,inferFromImplicitShape:Zv,parseAxisParam:Qv,squeezeShape:$v,getTypedArrayFromDType:eg,getArrayFromDType:tg,checkConversionForErrors:ng,isValidDtype:rg,hasEncodingLoss:ag,isTypedArray:ig,bytesPerElement:og,bytesFromStringArray:sg,isString:ug,isBoolean:lg,isNumber:cg,inferDtype:pg,isFunction:hg,nearestDivisor:fg,computeStrides:dg,toNestedArray:vg,makeOnesTypedArray:gg,makeZerosTypedArray:yg,makeZerosNestedTypedArray:bg,assertNonNegativeIntegerDimensions:xg,locToIndex:wg,indexToLoc:kg,isPromise:Ng,hexToLong:gw,fingerPrint64:Cw},Lw=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new zw)}var t=e.prototype;return t.profileKernel=function(e,t,n){var r,a,i=function(){r=n()},o=_w();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(i);else{i();for(var s,u=Fv(r);!(s=u()).done;){s.value.dataSync()}a=Promise.resolve({kernelMs:_w()-o})}if(Rg().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(var l=function(t){var n=r[t];n.data().then((function(t){!function(e,t,n){if("float32"!==t)return!1;for(var r=0;r<e.length;r++){var a=e[r];if(isNaN(a)||!isFinite(a))return console.warn("Found "+a+" in the result of '"+n+"'"),!0}}(t,n.dtype,e)}))},c=0;c<r.length;c++)l(c);return{kernelName:e,outputs:r,inputs:t,timeMs:a.then((function(e){return e.kernelMs})),extraInfo:a.then((function(e){return null!=e.getExtraProfileInfo?e.getExtraProfileInfo():""}))}},t.logKernelProfile=function(e){var t=this,n=e.kernelName,r=e.outputs,a=e.timeMs,i=e.inputs,o=e.extraInfo;r.forEach((function(e){Promise.all([e.data(),a,o]).then((function(r){t.logger.logKernelProfile(n,e,r[0],r[1],i,r[2])}))}))},e}();var zw=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r,a,i){var o="number"==typeof r?Yv(r+"ms",9):r.error,s=Yv(e,25),u=t.rank,l=t.size,c=Yv(t.shape.toString(),14),p="";for(var h in a){var f=a[h];if(null!=f){var d=f.shape||t.shape,m=d.length;p+=h+": "+m+"D "+(m>0?d:"")+" "}}console.log("%c"+s+"\t%c"+o+"\t%c"+u+"D "+c+"\t%c"+l+"\t%c"+p+"\t%c"+i,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")},e}();function Pw(e,t,n,r){var a=dg(t),i=function(e,t,n,r){var a=Hv(t),i=r[r.length-1],o=new Array(i).fill(0),s=t.length,u="complex64"===n?Vw(e):e;if(s>1)for(var l=0;l<a/i;l++)for(var c=l*i,p=0;p<i;p++)o[p]=Math.max(o[p],Bw(u[c+p],0,n).length);return o}(e,t,n,a),o=t.length,s=Uw(e,t,n,a,i),u=["Tensor"];return r&&(u.push("  dtype: "+n),u.push("  rank: "+o),u.push("  shape: ["+t+"]"),u.push("  values:")),u.push(s.map((function(e){return"    "+e})).join("\n")),u.join("\n")}function Bw(e,t,n){return Yv(Array.isArray(e)?parseFloat(e[0].toFixed(7))+" + "+parseFloat(e[1].toFixed(7))+"j":ug(e)?"'"+e+"'":"bool"===n?Ww(e):parseFloat(e.toFixed(7)).toString(),t)}function Ww(e){return 0===e?"false":"true"}function Uw(e,t,n,r,a,i){void 0===i&&(i=!0);var o="complex64"===n?2:1,s=t[0],u=t.length;if(0===u)return"complex64"===n?[Bw(Vw(e)[0],0,n)]:"bool"===n?[Ww(e[0])]:[e[0].toString()];if(1===u){if(s>20){var l=3*o,c=Array.from(e.slice(0,l)),p=Array.from(e.slice((s-3)*o,s*o));return"complex64"===n&&(c=Vw(c),p=Vw(p)),["["+c.map((function(e,t){return Bw(e,a[t],n)})).join(", ")+", ..., "+p.map((function(e,t){return Bw(e,a[s-3+t],n)})).join(", ")+"]"]}return["["+("complex64"===n?Vw(e):Array.from(e)).map((function(e,t){return Bw(e,a[t],n)})).join(", ")+"]"]}var h=t.slice(1),f=r.slice(1),d=r[0]*o,m=[];if(s>20){for(var v=0;v<3;v++){var g=v*d,y=g+d;m.push.apply(m,Uw(e.slice(g,y),h,n,f,a,!1))}m.push("...");for(var b=s-3;b<s;b++){var x=b*d,w=x+d;m.push.apply(m,Uw(e.slice(x,w),h,n,f,a,b===s-1))}}else for(var k=0;k<s;k++){var N=k*d,I=N+d;m.push.apply(m,Uw(e.slice(N,I),h,n,f,a,k===s-1))}var S=2===u?",":"";m[0]="["+m[0]+S;for(var T=1;T<m.length-1;T++)m[T]=" "+m[T]+S;for(var E=",\n",C=2;C<u;C++)E+="\n";return m[m.length-1]=" "+m[m.length-1]+"]"+(i?"":E),m}function Vw(e){for(var t=[],n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var Gw=function(){function e(e,t,n){var r=this;if(this.dtype=t,this.shape=e.slice(),this.size=Hv(e),null!=n){var a=n.length;Uv(a===this.size,(function(){return"Length of values '"+a+"' does not match the size inferred by the shape '"+r.size+"'."}))}if("complex64"===t)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||tg(t,this.size),this.strides=dg(e)}var t=e.prototype;return t.set=function(e){for(var t=this,n=arguments.length,r=new Array(n>1?n-1:0),a=1;a<n;a++)r[a-1]=arguments[a];0===r.length&&(r=[0]),Uv(r.length===this.rank,(function(){return"The number of provided coordinates ("+r.length+") must match the rank ("+t.rank+")"}));var i=this.locToIndex(r);this.values[i]=e},t.get=function(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];0===t.length&&(t=[0]);for(var r=0,a=0,i=t;a<i.length;a++){var o=i[a];if(o<0||o>=this.shape[r]){var s="Requested out of range element at "+t+".   Buffer shape="+this.shape;throw new Error(s)}r++}for(var u=t[t.length-1],l=0;l<t.length-1;++l)u+=this.strides[l]*t[l];return this.values[u]},t.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},t.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},t.toTensor=function(){return jw().makeTensor(this.values,this.shape,this.dtype)},kv(e,[{key:"rank",get:function(){return this.shape.length}}]),e}(),jw=null,Hw=null;var qw=function(){function e(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Hv(e),this.strides=dg(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}var t=e.prototype;return t.buffer=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.data();case 2:return t=e.sent,e.abrupt("return",Hw.buffer(this.shape,this.dtype,t));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.bufferSync=function(){return Hw.buffer(this.shape,this.dtype,this.dataSync())},t.array=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.data();case 2:return t=e.sent,e.abrupt("return",vg(this.shape,t,"complex64"===this.dtype));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.arraySync=function(){return vg(this.shape,this.dataSync(),"complex64"===this.dtype)},t.data=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.throwIfDisposed(),t=jw().read(this.dataId),"string"!==this.dtype){e.next=13;break}return e.next=5,t;case 5:return n=e.sent,e.prev=6,e.abrupt("return",n.map((function(e){return Ow(e)})));case 10:throw e.prev=10,e.t0=e.catch(6),new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().");case 13:return e.abrupt("return",t);case 14:case"end":return e.stop()}}),e,this,[[6,10]])})));return function(){return e.apply(this,arguments)}}(),t.dataToGPU=function(e){return this.throwIfDisposed(),jw().readToGPU(this.dataId,e)},t.dataSync=function(){this.throwIfDisposed();var e=jw().readSync(this.dataId);if("string"===this.dtype)try{return e.map((function(e){return Ow(e)}))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e},t.bytes=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.throwIfDisposed(),e.next=3,jw().read(this.dataId);case 3:if(t=e.sent,"string"!==this.dtype){e.next=8;break}return e.abrupt("return",t);case 8:return e.abrupt("return",new Uint8Array(t.buffer));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.dispose=function(){this.isDisposed||(jw().disposeTensor(this),this.isDisposedInternal=!0)},t.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},t.print=function(e){return void 0===e&&(e=!1),Hw.print(this,e)},t.clone=function(){return this.throwIfDisposed(),Hw.clone(this)},t.toString=function(e){return void 0===e&&(e=!1),Pw(this.dataSync(),this.shape,this.dtype,e)},t.cast=function(e){return this.throwIfDisposed(),Hw.cast(this,e)},t.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),jw().makeVariable(this,e,t,n)},kv(e,[{key:"rank",get:function(){return this.shape.length}},{key:"isDisposed",get:function(){return this.isDisposedInternal}}]),e}();function Kw(){return _g("Tensor",(function(){return qw}))}Object.defineProperty(qw,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),Kw();var Xw,Yw,Jw,Zw,Qw,$w=function(e){function t(t,n,r,a){var i;return(i=e.call(this,t.shape,t.dtype,t.dataId,a)||this).trainable=n,i.name=r,i}Nv(t,e);var n=t.prototype;return n.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!qv(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");jw().disposeTensor(this),this.dataId=e.dataId,jw().incRef(this,null)},n.dispose=function(){jw().disposeVariable(this),this.isDisposedInternal=!0},t}(qw);Object.defineProperty($w,Symbol.hasInstance,{value:function(e){return e instanceof qw&&null!=e.assign&&e.assign instanceof Function}}),(Xw=e.Rank||(e.Rank={})).R0="R0",Xw.R1="R1",Xw.R2="R2",Xw.R3="R3",Xw.R4="R4",Xw.R5="R5",Xw.R6="R6",function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(Yw||(Yw={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(Jw||(Jw={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(Zw||(Zw={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(Qw||(Qw={}));var ek={float32:Zw,int32:Yw,bool:Jw,complex64:Qw};function tk(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast "+e+" with "+t)}return ek[e][t]}function nk(e){return tk(e,"int32")}function rk(e,t){if(e.dtype===t.dtype)return[e,t];var n=tk(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function ak(e,t){Uv(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function ik(e,t){return t.some((function(t){return t.id===e.id}))}function ok(e){var t=[];return sk(e,t,new Set),t}function sk(e,t,n){if(null!=e)if(e instanceof qw)t.push(e);else if(r=e,Array.isArray(r)||"object"==typeof r){var r,a=e;for(var i in a){var o=a[i];n.has(o)||(n.add(o),sk(o,t,n))}}}var uk={__proto__:null,makeTypesMatch:rk,assertTypesMatch:ak,isTensorInList:ik,getTensorsInContainer:ok};function lk(e){return null!=e.kernelName}var ck=function(){function e(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map((function(e){return e.name}))))}}}return e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),pk=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new ck}var t=e.prototype;return t.ready=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.backendNames=function(){return Object.keys(this.registryFactory)},t.findBackend=function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]},t.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},t.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(Lx(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},t.setBackend=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.registryFactory[t]){e.next=2;break}throw new Error("Backend name '"+t+"' not found in registry");case 2:if(this.backendName=t,null!=this.registry[t]){e.next=16;break}if(this.backendInstance=null,n=this.initializeBackend(t),r=n.success,!n.asyncInit){e.next=12;break}return e.next=9,r;case 9:e.t0=e.sent,e.next=13;break;case 12:e.t0=r;case 13:if(e.t0){e.next=16;break}return e.abrupt("return",!1);case 16:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new Lw(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.setupRegisteredKernels=function(){var e=this;Ux(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},t.disposeRegisteredKernels=function(e){var t=this;Ux(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},t.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(!r||r instanceof Ov||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,Lx("Initialization of backend "+e+" failed"),Lx(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return Lx("Initialization of backend "+e+" failed"),Lx(t.stack||t.message),{success:!1,asyncInit:!1}}},t.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},t.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.moveData=function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.tidy=function(e,t){var n,r=this,a=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},t.nextTensorId=function(){return e.nextTensorId++},t.nextVariableId=function(){return e.nextVariableId++},t.clone=function(e){var t=dk.runKernel(Hy,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return dk.runKernel(ty,t,n)}}}),[],{}),t},t.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Bx(e,this.backendName)))throw new Error("Kernel '"+e+"' not registered for backend '"+this.backendName+"'");return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})},t.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.checkKernelForMemLeak=function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},t.runKernelFunc=function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var l=lk(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(lk(e)){var c=e.kernelName,p=e.inputs,h=e.attrs;null==this.backendName&&this.backend;var f=Bx(c,this.backendName);Uv(null!=f,(function(){return"Cannot find registered kernel '"+c+"' for backend '"+a.backendName+"'"})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:p,attrs:h,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t);var n=t.map((function(e){if(null!=e.rank)return e;var t=e.dataId,n=e.shape,r=e.dtype;return a.makeTensorFromDataId(t,n,r)}));if(o){var s=a.getTensorsForGradient(c,p,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,m=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return d(a.backend,m)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t),t}}var v,g=e.inputs,y=e.attrs,b=lk(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(v=a.profiler.profileKernel(l,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(v),t=v.outputs):t=n()})),o&&this.addTapeNode(l,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:v.timeMs,extraInfo:v.extraInfo}),Array.isArray(r)?t:t[0]},t.saveTensorsForBackwardMode=function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))},t.getTensorsForGradient=function(e,t,n){var r=Wx(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Uv(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]},t.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&ug(e[0])&&(a=e.map((function(e){return Dw(e)})));var i=r.write(a,t,n),o=new qw(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=sg(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.makeTensorFromDataId=function(e,t,n,r){var a=new qw(t,n=n||"float32",e,this.nextTensorId());return this.trackTensor(a,r),a},t.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new $w(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.trackTensor=function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*og(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof $w||this.track(e)},t.incRef=function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)},t.removeDataId=function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)},t.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*og(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}},t.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},t.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},t.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},t.profile=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=Fv(this.state.activeProfile.kernels);case 12:if((i=a()).done){e.next=22;break}return o=i.value,e.next=16,o.kernelTimeMs;case 16:return o.kernelTimeMs=e.sent,e.next=19,o.extraInfo;case 19:o.extraInfo=e.sent;case 20:e.next=12;break;case 22:return e.abrupt("return",this.state.activeProfile);case 23:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.addTapeNode=function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Wx(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=yg(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)},t.keep=function(e){return e.kept=!0,e},t.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.endTape=function(){this.state.gradientDepth--},t.startScope=function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t},t.endScope=function(e){for(var t=this,n=ok(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))},t.gradients=function(e,t,n,r){var a=this;if(void 0===r&&(r=!1),Uv(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var i=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",e)}));Uv(i instanceof qw,(function(){return"The result y returned by f() must be a tensor."}));var o=function(e,t,n){for(var r={},a={},i=0;i<t.length;i++)r[t[i].id]=!0;for(var o=0;o<e.length;o++){var s=e[o],u=s.inputs;for(var l in u){for(var c=u[l],p=!1,h=0;h<t.length;h++)if(r[c.id]){s.outputs.forEach((function(e){return r[e.id]=!0})),p=!0,a[s.id]=!0;break}if(p)break}}var f={};f[n.id]=!0;for(var d={},m=e.length-1;m>=0;m--)for(var v=e[m],g=v.inputs,y=0;y<v.outputs.length;y++)if(f[v.outputs[y].id]){for(var b in g)f[g[b].id]=!0,d[v.id]=!0;break}for(var x=[],w=0;w<e.length;w++){var k=e[w];if(a[k.id]&&d[k.id]){var N={};for(var I in k.inputs){var S=k.inputs[I];r[S.id]&&(N[I]=S)}var T=Object.assign({},k);T.inputs=N,T.outputs=k.outputs,x.push(T)}}return x}(this.state.activeTape,t,i);if(!r&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e,r,s={};s[i.id]=null==n?(e=i.shape,r=gg(Hv(e),"float32"),dk.makeTensor(r,e,"float32")):n,function(e,t,n,r){for(var a=function(a){var i=t[a],o=[];if(i.outputs.forEach((function(t){var n=e[t.id];null!=n?o.push(n):o.push(null)})),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var s=i.gradient(o),u=function(t){if(!(t in s))throw new Error("Cannot backprop through input "+t+". Available gradients found: "+Object.keys(s)+".");var a=n((function(){return s[t]()}));if("float32"!==a.dtype)throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input "+t+" must have 'float32' dtype, but has '"+a.dtype+"'");var o=i.inputs[t];if(!qv(a.shape,o.shape))throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input '"+t+"' has shape '"+a.shape+"', which does not match the shape of the input '"+o.shape+"'");if(null==e[o.id])e[o.id]=a;else{var u=e[o.id];e[o.id]=r(u,a),u.dispose()}};for(var l in i.inputs)u(l)},i=t.length-1;i>=0;i--)a(i)}(s,o,(function(e){return a.tidy(e)}),mk);var u=t.map((function(e){return s[e.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(e){for(var t,n=Fv(e.saved);!(t=n()).done;){t.value.dispose()}})),a.state.activeTape=null),{value:i,grads:u}}))},t.customGrad=function(e){var t=this;return Uv(hg(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;Uv(r.every((function(e){return e instanceof qw})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return Uv((i=e.apply(void 0,[].concat(r,[n]))).value instanceof qw,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),Uv(hg(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];Uv(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),Uv(a.every((function(e){return e instanceof qw})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}},t.readSync=function(e){return this.state.tensorInfo.get(e).backend.readSync(e)},t.read=function(e){return this.state.tensorInfo.get(e).backend.read(e)},t.readToGPU=function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)},t.time=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=_w(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=_w()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.track=function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e},t.reset=function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new ck,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},kv(e,[{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '"+t+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{key:"registeredVariables",get:function(){return this.state.registeredVariables}}]),e}();function hk(){var t=Ag();if(null==t._tfengine){var n=new Tg(t);t._tfengine=new pk(n)}return function(t){e.ENV=t}(t._tfengine.ENV),jw=function(){return t._tfengine},t._tfengine}pk.nextTensorId=0,pk.nextVariableId=0;var fk,dk=hk();function mk(e,t){var n={a:e,b:t};return dk.runKernel(Mg,n)}function vk(e){if(void 0!==fk)return fk;if(e||"undefined"!=typeof navigator&&null!=navigator){if(e||(e=navigator),"ReactNative"===e.product)return!0;var t=e.userAgent||e.vendor||("undefined"!=typeof window?window.opera:"");if(!t){var n=e;return n.userAgentData&&n.userAgentData.mobile}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))}return!1}function gk(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var yk={__proto__:null,mockIsMobile:function(e){fk=e},isMobile:vk,isBrowser:gk},bk=Rg();function xk(e,t){var n=e;if(ig(e))return"string"===t?[]:[e.length];if(!Array.isArray(e))return[];for(var r=[];Array.isArray(n)||ig(n)&&"string"!==t;)r.push(n.length),n=n[0];return Array.isArray(e)&&Rg().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&wk(e,r,[]),r}function wk(e,t,n){if(n=n||[],Array.isArray(e)||ig(e)){Uv(t.length>0,(function(){return"Element arr["+n.join("][")+"] should be a primitive, but is an array of "+e.length+" elements"})),Uv(e.length===t[0],(function(){return"Element arr["+n.join("][")+"] should have "+t[0]+" elements, but has "+e.length+" elements"}));for(var r=t.slice(1),a=0;a<e.length;++a)wk(e[a],r,n.concat(a))}else Uv(0===t.length,(function(){return"Element arr["+n.join("][")+"] is a primitive, but should be an array/TypedArray of "+t[0]+" elements"}))}function kk(e,t,n,r){if("string_or_numeric"!==e){if(null==e)throw new Error("Expected dtype cannot be null.");if("numeric"!==e&&e!==t||"numeric"===e&&"string"===t)throw new Error("Argument '"+n+"' passed to '"+r+"' must be "+e+" tensor, but got "+t+" tensor")}}function Nk(e,t,n,r){if(void 0===r&&(r="numeric"),e instanceof qw)return kk(r,e.dtype,t,n),e;var a=pg(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),kk(r,a,t,n),null==e||!ig(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e){var i=null==e?"null":e.constructor.name;throw new Error("Argument '"+t+"' passed to '"+n+"' must be a Tensor or TensorLike, but got '"+i+"'")}var o=xk(e,a);ig(e)||Array.isArray(e)||(e=[e]);var s="string"!==a?Aw(e,a):jv(e,[],!0);return dk.makeTensor(s,o,a)}function Ik(e,t,n,r){if(void 0===r&&(r="numeric"),!Array.isArray(e))throw new Error("Argument "+t+" passed to "+n+" must be a `Tensor[]` or `TensorLike[]`");return e.map((function(e,a){return Nk(e,t+"["+a+"]",n,r)}))}bk.registerFlag("DEBUG",(function(){return!1}),(function(e){e&&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.")})),bk.registerFlag("IS_BROWSER",(function(){return gk()})),bk.registerFlag("IS_NODE",(function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node})),bk.registerFlag("IS_CHROME",(function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)})),bk.registerFlag("PROD",(function(){return!1})),bk.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",(function(){return bk.getBool("DEBUG")})),bk.registerFlag("DEPRECATION_WARNINGS_ENABLED",(function(){return!0})),bk.registerFlag("IS_TEST",(function(){return!1})),bk.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",(function(){return!0})),bk.registerFlag("WRAP_TO_IMAGEBITMAP",(function(){return!1}));var Sk="__op";function Tk(e){var t=Object.keys(e);if(1!==t.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+t.length+" keys.");var n=t[0],r=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n+=Sk;var a=function(){dk.startScope(n);try{var e=r.apply(void 0,arguments);return Ng(e)&&console.error("Cannot return a Promise inside of tidy."),dk.endScope(e),e}catch(e){throw dk.endScope(null),e}};return Object.defineProperty(a,"name",{value:n,configurable:!0}),a}var Ek=Tk({complex_:function(e,t){var n=Nk(e,"real","complex"),r=Nk(t,"imag","complex");Vv(n.shape,r.shape,"real and imag shapes, "+n.shape+" and "+r.shape+", must match in call to tf.complex().");var a={real:n,imag:r};return dk.runKernel(ay,a)}});function Ck(e,t,n,r){if(null==r&&(r=pg(e)),"complex64"===r)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!ig(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=t){xg(t);var a=Hv(t),i=Hv(n);Uv(a===i,(function(){return"Based on the provided shape, ["+t+"], the tensor should have "+a+" values but has "+i}));for(var o=0;o<n.length;++o){var s=n[o],u=o!==n.length-1||s!==Hv(t.slice(o));Uv(n[o]===t[o]||!u,(function(){return"Error creating a new Tensor. Inferred shape ("+n+") does not match the provided shape ("+t+"). "}))}}return ig(e)||Array.isArray(e)||(e=[e]),t=t||n,e="string"!==r?Aw(e,r):jv(e,[],!0),dk.makeTensor(e,t,r)}function Rk(e,t,n){return Ck(e,t,xk(e,n),n)}var Ak={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};function _k(e,t){return Fk.apply(this,arguments)}function Fk(){return(Fk=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(r=[],a=[],i=Array.isArray(t)?t.map((function(e){return e.name})):Object.keys(t),o=function(e){var o=i[e],s=Array.isArray(t)?t[e].tensor:t[o];if("float32"!==s.dtype&&"int32"!==s.dtype&&"bool"!==s.dtype&&"string"!==s.dtype&&"complex64"!==s.dtype)throw new Error("Unsupported dtype in weight '"+o+"': "+s.dtype);var u={name:o,shape:s.shape,dtype:s.dtype};if("string"===s.dtype){var l=new Promise(function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o,u,l;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.bytes();case 2:for(n=e.sent,r=n.reduce((function(e,t){return e+t.length}),0)+4*n.length,a=new Uint8Array(r),i=0,o=0;o<n.length;o++)u=n[o],l=new Uint8Array(new Uint32Array([u.length]).buffer),a.set(l,i),i+=4,a.set(u,i),i+=u.length;t(a);case 8:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}());a.push(l)}else a.push(s.data());null!=n&&(u.group=n),r.push(u)},s=0;s<i.length;++s)o(s);return e.next=7,Promise.all(a);case 7:return u=e.sent,e.abrupt("return",{data:Ok(u),specs:r});case 9:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function Dk(e,t){for(var n,r,a={},i=0,o=Fv(t);!(r=o()).done;){var s=r.value,u=s.name,l=s.dtype,c=s.shape,p=Hv(c),h=void 0;if("quantization"in s){var f=s.quantization;if("uint8"===f.dtype||"uint16"===f.dtype){if(!("min"in f)||!("scale"in f))throw new Error("Weight "+s.name+" with quantization "+f.dtype+" doesn't have corresponding metadata min and scale.")}else{if("float16"!==f.dtype)throw new Error("Weight "+s.name+" has unknown quantization dtype "+f.dtype+". Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.");if("float32"!==l)throw new Error("Weight "+s.name+" is quantized with "+f.dtype+" which only supports weights of type float32 not "+l+".")}var d=Ak[f.dtype],m=e.slice(i,i+p*d),v="uint8"===f.dtype?new Uint8Array(m):new Uint16Array(m);if("float32"===l)if("uint8"===f.dtype||"uint16"===f.dtype){h=new Float32Array(v.length);for(var g=0;g<v.length;g++){var y=v[g];h[g]=y*f.scale+f.min}}else{if("float16"!==f.dtype)throw new Error("Unsupported quantization type "+f.dtype+" for weight type float32.");void 0===n&&(n=Hk()),h=n(v)}else{if("int32"!==l)throw new Error("Unsupported dtype in weight '"+u+"': "+l);if("uint8"!==f.dtype&&"uint16"!==f.dtype)throw new Error("Unsupported quantization type "+f.dtype+" for weight type int32.");h=new Int32Array(v.length);for(var b=0;b<v.length;b++){var x=v[b];h[b]=Math.round(x*f.scale+f.min)}}i+=p*d}else if("string"===l){var w=Hv(s.shape);h=[];for(var k=0;k<w;k++){var N=new Uint32Array(e.slice(i,i+4))[0];i+=4;var I=new Uint8Array(e.slice(i,i+N));h.push(I),i+=N}}else{var S=Ak[l],T=e.slice(i,i+p*S);if("float32"===l)h=new Float32Array(T);else if("int32"===l)h=new Int32Array(T);else if("bool"===l)h=new Uint8Array(T);else{if("complex64"!==l)throw new Error("Unsupported dtype in weight '"+u+"': "+l);h=new Float32Array(T);for(var E=new Float32Array(h.length/2),C=new Float32Array(h.length/2),R=0;R<E.length;R++)E[R]=h[2*R],C[R]=h[2*R+1];var A=Rk(E,c,"float32"),_=Rk(C,c,"float32");a[u]=Ek(A,_),A.dispose(),_.dispose()}i+=p*S}"complex64"!==l&&(a[u]=Rk(h,c,l))}return a}function Ok(e){if(null===e)throw new Error("Invalid input value: "+JSON.stringify(e));var t=0,n=[];e.forEach((function(e){if(t+=e.byteLength,n.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+e.constructor.name)}));var r=new Uint8Array(t),a=0;return n.forEach((function(e){r.set(new Uint8Array(e.buffer),a),a+=e.byteLength})),r.buffer}var Mk="undefined"!=typeof Buffer&&("undefined"==typeof Blob||"undefined"==typeof atob||"undefined"==typeof btoa);function Lk(e){return Mk?Buffer.byteLength(e):new Blob([e]).size}function zk(e){if(Mk)return Buffer.from(e).toString("base64");for(var t=new Uint8Array(e),n="",r=0,a=t.length;r<a;r++)n+=String.fromCharCode(t[r]);return btoa(n)}function Pk(e){if(Mk){var t=Buffer.from(e,"base64");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var n=atob(e),r=new Uint8Array(n.length),a=0;a<n.length;++a)r.set([n.charCodeAt(a)],a);return r.buffer}function Bk(e){if(1===e.length)return e[0];var t=0;e.forEach((function(e){t+=e.byteLength}));var n=new Uint8Array(t),r=0;return e.forEach((function(e){n.set(new Uint8Array(e),r),r+=e.byteLength})),n.buffer}function Wk(e){for(e=e.trim();e.endsWith("/");)e=e.slice(0,e.length-1);var t=e.split("/");return t[t.length-1]}function Uk(e,t){var n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return null!=e.signature&&(n.signature=e.signature),null!=e.userDefinedMetadata&&(n.userDefinedMetadata=e.userDefinedMetadata),null!=e.modelInitializer&&(n.modelInitializer=e.modelInitializer),null!=e.trainingConfig&&(n.trainingConfig=e.trainingConfig),n}function Vk(e,t){return Gk.apply(this,arguments)}function Gk(){return(Gk=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy},null!=t.trainingConfig&&(r.trainingConfig=t.trainingConfig),null==t.weightsManifest){e.next=10;break}return e.next=5,n(t.weightsManifest);case 5:a=e.sent,i=a[0],o=a[1],r.weightSpecs=i,r.weightData=o;case 10:return null!=t.signature&&(r.signature=t.signature),null!=t.userDefinedMetadata&&(r.userDefinedMetadata=t.userDefinedMetadata),null!=t.modelInitializer&&(r.modelInitializer=t.modelInitializer),e.abrupt("return",r);case 14:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function jk(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:null==e.modelTopology?0:Lk(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:Lk(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}function Hk(){var e=function(){var e=function(e){for(var t=e<<13,n=0;0==(8388608&t);)n-=8388608,t<<=1;return(t&=-8388609)|n+947912704},t=new Uint32Array(2048);t[0]=0;for(var n=1;n<1024;n++)t[n]=e(n);for(var r=1024;r<2048;r++)t[r]=939524096+(r-1024<<13);return t}(),t=function(){var e=new Uint32Array(64);e[0]=0,e[31]=1199570944,e[32]=2147483648,e[63]=3347054592;for(var t=1;t<31;t++)e[t]=t<<23;for(var n=33;n<63;n++)e[n]=2147483648+(n-32<<23);return e}(),n=function(){for(var e=new Uint32Array(64),t=0;t<64;t++)e[t]=1024;return e[0]=e[32]=0,e}();return function(r){for(var a=new ArrayBuffer(4*r.length),i=new Uint32Array(a),o=0;o<r.length;o++){var s=r[o],u=e[n[s>>10]+(1023&s)]+t[s>>10];i[o]=u}return new Float32Array(a)}}var qk=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,"save")},e.getLoadHandlers=function(t,n){return e.getHandlers(t,"load",n)},e.getHandlers=function(t,n,r){var a=[];return("load"===n?e.getInstance().loadRouters:e.getInstance().saveRouters).forEach((function(e){var n=e(t,r);null!==n&&a.push(n)})),a},e}(),Kk=function(e){return qk.getSaveHandlers(e)},Xk=function(e,t){return qk.getLoadHandlers(e,t)},Yk="tensorflowjs",Jk="models_store",Zk="model_info_store";function Qk(){if(!Rg().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");var e="undefined"==typeof window?self:window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error("The current browser does not appear to support IndexedDB.");return t}function $k(e){var t=e.result;t.createObjectStore(Jk,{keyPath:"modelPath"}),t.createObjectStore(Zk,{keyPath:"modelPath"})}var eN=function(){function e(e){if(this.indexedDB=Qk(),null==e||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}var t=e.prototype;return t.save=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(t.modelTopology instanceof ArrayBuffer)){e.next=2;break}throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");case 2:return e.abrupt("return",this.databaseAction(this.modelPath,t));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.load=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.databaseAction(this.modelPath));case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.databaseAction=function(e,t){var n=this;return new Promise((function(e,r){var a=n.indexedDB.open(Yk,1);a.onupgradeneeded=function(){return $k(a)},a.onsuccess=function(){var i=a.result;if(null==t){var o=i.transaction(Jk,"readonly"),s=o.objectStore(Jk).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return i.close(),r(new Error("Cannot find model with path '"+n.modelPath+"' in IndexedDB."));e(s.result.modelArtifacts)},s.onerror=function(e){return i.close(),r(s.error)},o.oncomplete=function(){return i.close()}}else{var u,l=jk(t),c=i.transaction(Zk,"readwrite"),p=c.objectStore(Zk),h=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});h.onsuccess=function(){var a=(u=i.transaction(Jk,"readwrite")).objectStore(Jk).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:l});a.onsuccess=function(){return e({modelArtifactsInfo:l})},a.onerror=function(e){var t=(p=c.objectStore(Zk)).delete(n.modelPath);t.onsuccess=function(){return i.close(),r(a.error)},t.onerror=function(e){return i.close(),r(a.error)}}},h.onerror=function(e){return i.close(),r(h.error)},c.oncomplete=function(){null==u?i.close():u.oncomplete=function(){return i.close()}}}},a.onerror=function(e){return r(a.error)}}))},e}();eN.URL_SCHEME="indexeddb://";var tN=function(e){return Rg().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(eN.URL_SCHEME)?(t=e.slice(eN.URL_SCHEME.length),new eN(t)):null;var t};function nN(e){return e.startsWith(eN.URL_SCHEME)?e.slice(eN.URL_SCHEME.length):e}qk.registerSaveRouter(tN),qk.registerLoadRouter(tN);var rN=function(){function e(){this.indexedDB=Qk()}var t=e.prototype;return t.listModels=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",new Promise((function(e,n){var r=t.indexedDB.open(Yk,1);r.onupgradeneeded=function(){return $k(r)},r.onsuccess=function(){var t=r.result,a=t.transaction(Zk,"readonly"),i=a.objectStore(Zk).getAll();i.onsuccess=function(){for(var t,n={},r=Fv(i.result);!(t=r()).done;){var a=t.value;n[a.modelPath]=a.modelArtifactsInfo}e(n)},i.onerror=function(e){return t.close(),n(i.error)},a.oncomplete=function(){return t.close()}},r.onerror=function(e){return n(r.error)}})));case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),t.removeModel=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=nN(t),e.abrupt("return",new Promise((function(e,r){var a=n.indexedDB.open(Yk,1);a.onupgradeneeded=function(){return $k(a)},a.onsuccess=function(){var n,i=a.result,o=i.transaction(Zk,"readwrite"),s=o.objectStore(Zk),u=s.get(t);u.onsuccess=function(){if(null==u.result)return i.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var a=s.delete(t),o=function(){var a=(n=i.transaction(Jk,"readwrite")).objectStore(Jk).delete(t);a.onsuccess=function(){return e(u.result.modelArtifactsInfo)},a.onerror=function(e){return r(u.error)}};a.onsuccess=o,a.onerror=function(e){return o(),i.close(),r(u.error)}},u.onerror=function(e){return i.close(),r(u.error)},o.oncomplete=function(){null==n?i.close():n.oncomplete=function(){return i.close()}}},a.onerror=function(e){return r(a.error)}})));case 2:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),e}(),aN="/",iN="tensorflowjs_models",oN="info",sN="model_topology",uN="weight_specs",lN="weight_data",cN="model_metadata";function pN(e){return{info:[iN,e,oN].join(aN),topology:[iN,e,sN].join(aN),weightSpecs:[iN,e,uN].join(aN),weightData:[iN,e,lN].join(aN),modelMetadata:[iN,e,cN].join(aN)}}function hN(e){for(var t=0,n=Object.values(e);t<n.length;t++){var r=n[t];window.localStorage.removeItem(r)}}function fN(e){var t=e.split(aN);if(t.length<3)throw new Error("Invalid key format: "+e);return t.slice(1,t.length-1).join(aN)}function dN(e){return e.startsWith(mN.URL_SCHEME)?e.slice(mN.URL_SCHEME.length):e}var mN=function(){function e(e){if(!Rg().getBool("IS_BROWSER")||"undefined"==typeof window||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==e||!e)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=e,this.keys=pN(this.modelPath)}var t=e.prototype;return t.save=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(t.modelTopology instanceof ArrayBuffer)){e.next=4;break}throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");case 4:return n=JSON.stringify(t.modelTopology),r=JSON.stringify(t.weightSpecs),a=jk(t),e.prev=7,this.LS.setItem(this.keys.info,JSON.stringify(a)),this.LS.setItem(this.keys.topology,n),this.LS.setItem(this.keys.weightSpecs,r),this.LS.setItem(this.keys.weightData,zk(t.weightData)),i={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:null!=t.signature?t.signature:void 0,userDefinedMetadata:null!=t.userDefinedMetadata?t.userDefinedMetadata:void 0,modelInitializer:null!=t.modelInitializer?t.modelInitializer:void 0,trainingConfig:null!=t.trainingConfig?t.trainingConfig:void 0},this.LS.setItem(this.keys.modelMetadata,JSON.stringify(i)),e.abrupt("return",{modelArtifactsInfo:a});case 17:throw e.prev=17,e.t0=e.catch(7),hN(this.keys),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes="+a.modelTopologyBytes+", weightSpecsBytes="+a.weightSpecsBytes+", weightDataBytes="+a.weightDataBytes+".");case 21:case"end":return e.stop()}}),e,this,[[7,17]])})));return function(t){return e.apply(this,arguments)}}(),t.load=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=(t=JSON.parse(this.LS.getItem(this.keys.info)))){e.next=3;break}throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");case 3:if("JSON"===t.modelTopologyType){e.next=5;break}throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");case 5:if(n={},null!=(r=JSON.parse(this.LS.getItem(this.keys.topology)))){e.next=9;break}throw new Error("In local storage, the topology of model '"+this.modelPath+"' is missing.");case 9:if(n.modelTopology=r,null!=(a=JSON.parse(this.LS.getItem(this.keys.weightSpecs)))){e.next=13;break}throw new Error("In local storage, the weight specs of model '"+this.modelPath+"' are missing.");case 13:if(n.weightSpecs=a,null!=(i=this.LS.getItem(this.keys.modelMetadata))&&(o=JSON.parse(i),n.format=o.format,n.generatedBy=o.generatedBy,n.convertedBy=o.convertedBy,null!=o.signature&&(n.signature=o.signature),null!=o.userDefinedMetadata&&(n.userDefinedMetadata=o.userDefinedMetadata),null!=o.modelInitializer&&(n.modelInitializer=o.modelInitializer),null!=o.trainingConfig&&(n.trainingConfig=o.trainingConfig)),null!=(s=this.LS.getItem(this.keys.weightData))){e.next=19;break}throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");case 19:return n.weightData=Pk(s),e.abrupt("return",n);case 21:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),e}();mN.URL_SCHEME="localstorage://";var vN=function(e){return Rg().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(mN.URL_SCHEME)?(t=e.slice(mN.URL_SCHEME.length),new mN(t)):null;var t};qk.registerSaveRouter(vN),qk.registerLoadRouter(vN);var gN=function(){function e(){Uv(Rg().getBool("IS_BROWSER"),(function(){return"Current environment is not a web browser"})),Uv("undefined"==typeof window||void 0!==window.localStorage,(function(){return"Current browser does not appear to support localStorage"})),this.LS=window.localStorage}var t=e.prototype;return t.listModels=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(t={},n=iN+aN,r=aN+oN,a=0;a<this.LS.length;++a)(i=this.LS.key(a)).startsWith(n)&&i.endsWith(r)&&(o=fN(i),t[o]=JSON.parse(this.LS.getItem(i)));return e.abrupt("return",t);case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.removeModel=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=dN(t),n=pN(t),null!=this.LS.getItem(n.info)){e.next=4;break}throw new Error("Cannot find model at path '"+t+"'");case 4:return r=JSON.parse(this.LS.getItem(n.info)),hN(n),e.abrupt("return",r);case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}(),yN="://",bN=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,n){Uv(null!=t,(function(){return"scheme must not be undefined or null."})),t.endsWith(yN)&&(t=t.slice(0,t.indexOf(yN))),Uv(t.length>0,(function(){return"scheme must not be an empty string."}));var r=e.getInstance();Uv(null==r.managers[t],(function(){return"A model store manager is already registered for scheme '"+t+"'."})),r.managers[t]=n},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error("Cannot find model manager for scheme '"+e+"'");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function xN(e){if(-1===e.indexOf(yN))throw new Error("The url string provided does not contain a scheme. Supported schemes are: "+bN.getSchemes().join(","));return{scheme:e.split(yN)[0],path:e.split(yN)[1]}}function wN(e,t,n){return kN.apply(this,arguments)}function kN(){return(kN=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r=!1),Uv(t!==n,(function(){return"Old path and new path are the same: '"+t+"'"})),Uv((a=qk.getLoadHandlers(t)).length>0,(function(){return"Copying failed because no load handler is found for source URL "+t+"."})),Uv(a.length<2,(function(){return"Copying failed because more than one ("+a.length+") load handlers for source URL "+t+"."})),i=a[0],Uv((o=qk.getSaveHandlers(n)).length>0,(function(){return"Copying failed because no save handler is found for destination URL "+n+"."})),Uv(o.length<2,(function(){return"Copying failed because more than one ("+a.length+") save handlers for destination URL "+n+"."})),s=o[0],u=xN(t).scheme,l=xN(t).path,c=u===xN(t).scheme,e.next=15,i.load();case 15:if(p=e.sent,!r||!c){e.next=19;break}return e.next=19,bN.getManager(u).removeModel(l);case 19:return e.next=21,s.save(p);case 21:if(h=e.sent,!r||c){e.next=25;break}return e.next=25,bN.getManager(u).removeModel(l);case 25:return e.abrupt("return",h.modelArtifactsInfo);case 26:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function NN(){return(NN=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:t=bN.getSchemes(),n={},r=Fv(t);case 3:if((a=r()).done){e.next=11;break}return i=a.value,e.next=7,bN.getManager(i).listModels();case 7:for(s in o=e.sent)n[i+yN+s]=o[s];case 9:e.next=3;break;case 11:return e.abrupt("return",n);case 12:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function IN(){return(IN=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=xN(t),r=bN.getManager(n.scheme),e.abrupt("return",r.removeModel(n.path));case 3:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function SN(){return(SN=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return!1,e.abrupt("return",wN(t,n,false));case 2:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function TN(){return(TN=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return!0,e.abrupt("return",wN(t,n,true));case 2:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var EN=function(){function e(){}var t=e.prototype;return t.fetch=function(e){function t(t,n){return e.apply(this,arguments)}return t.toString=function(){return e.toString()},t}((function(e,t){return fetch(e,t)})),t.now=function(){return performance.now()},t.encode=function(e,t){if("utf-8"!==t&&"utf8"!==t)throw new Error("Browser's encoder only supports utf-8, but got "+t);return null==this.textEncoder&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(e)},t.decode=function(e,t){return new TextDecoder(t).decode(e)},e}();if(Rg().get("IS_BROWSER")){Rg().setPlatform("browser",new EN);try{bN.registerManager(mN.URL_SCHEME,new gN)}catch(e){}try{bN.registerManager(eN.URL_SCHEME,new rN)}catch(e){}}var CN,RN=function(){return require("node-fetch")};var AN=function(){function e(){this.util=require("util"),this.textEncoder=new this.util.TextEncoder}var t=e.prototype;return t.fetch=function(e,t){return null!=Rg().global.fetch?Rg().global.fetch(e,t):(null==CN&&(CN=RN()),CN(e,t))},t.now=function(){var e=process.hrtime();return 1e3*e[0]+e[1]/1e6},t.encode=function(e,t){if("utf-8"!==t&&"utf8"!==t)throw new Error("Node built-in encoder only supports utf-8, but got "+t);return this.textEncoder.encode(e)},t.decode=function(e,t){return 0===e.length?"":new this.util.TextDecoder(t).decode(e)},e}();function _N(e,t,n){return void 0===t&&(t="float32"),t=t||"float32",xg(e),new Gw(e,t,n)}Rg().get("IS_NODE")&&!Rg().get("IS_BROWSER")&&Rg().setPlatform("node",new AN);var FN=Tk({cast_:function(e,t){var n=Nk(e,"x","cast");if(!rg(t))throw new Error("Failed to cast to unknown dtype "+t);if("string"===t&&"string"!==n.dtype||"string"!==t&&"string"===n.dtype)throw new Error("Only strings can be casted to strings");var r={x:n},a={dtype:t};return dk.runKernel(ty,r,a)}});var DN=Tk({clone_:function(e){var t={x:Nk(e,"x","clone","string_or_numeric")};return dk.runKernel(Hy,t)}});function ON(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}hk(),Hw={buffer:_N,cast:FN,clone:DN,print:ON};function MN(e){return new Promise((function(e){return setTimeout(e)})).then(e)}var LN=function(){function e(t){if(!Rg().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelJsonFileName=t+".json",this.weightDataFileName=t+".weights.bin"}return e.prototype.save=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("undefined"!=typeof document){e.next=2;break}throw new Error("Browser downloads are not supported in this environment since `document` is not present");case 2:if(n=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer)){e.next=7;break}throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 7:return r=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],a=Uk(t,r),i=window.URL.createObjectURL(new Blob([JSON.stringify(a)],{type:"application/json"})),(o=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,o.href=i,e.next=15,MN((function(){return o.dispatchEvent(new MouseEvent("click"))}));case 15:if(null==t.weightData){e.next=21;break}return(s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=n,e.next=21,MN((function(){return s.dispatchEvent(new MouseEvent("click"))}));case 21:return e.abrupt("return",{modelArtifactsInfo:jk(t)});case 22:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}();LN.URL_SCHEME="downloads://";var zN=function(){function e(e){if(null==e||e.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+e);this.jsonFile=e[0],this.weightsFiles=e.slice(1)}var t=e.prototype;return t.load=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",new Promise((function(e,n){var r=new FileReader;r.onload=function(r){var a=JSON.parse(r.target.result),i=a.modelTopology;if(null!=i)if(null!=a.weightsManifest)if(0!==t.weightsFiles.length){var o=Vk(a,(function(e){return t.loadWeights(e)}));e(o)}else e({modelTopology:i});else n(new Error("weightManifest field is missing from file "+t.jsonFile.name));else n(new Error("modelTopology field is missing from file "+t.jsonFile.name))},r.onerror=function(e){return n("Failed to read model topology and weights manifest JSON from file '"+t.jsonFile.name+"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.")},r.readAsText(t.jsonFile)})));case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),t.loadWeights=function(e){for(var t,n=this,r=[],a=[],i=Fv(e);!(t=i()).done;){var o=t.value;r.push.apply(r,o.weights),a.push.apply(a,o.paths)}var s=this.checkManifestAndWeightFiles(e),u=a.map((function(e){return n.loadWeightsFile(e,s[e])}));return Promise.all(u).then((function(e){return[r,Bk(e)]}))},t.loadWeightsFile=function(e,t){return new Promise((function(n,r){var a=new FileReader;a.onload=function(e){var t=e.target.result;n(t)},a.onerror=function(t){return r("Failed to weights data from file of path '"+e+"'.")},a.readAsArrayBuffer(t)}))},t.checkManifestAndWeightFiles=function(e){for(var t,n=this,r=[],a=this.weightsFiles.map((function(e){return Wk(e.name)})),i={},o=Fv(e);!(t=o()).done;){t.value.paths.forEach((function(e){var t=Wk(e);if(-1!==r.indexOf(t))throw new Error("Duplicate file basename found in weights manifest: '"+t+"'");if(r.push(t),-1===a.indexOf(t))throw new Error("Weight file with basename '"+t+"' is not provided.");i[e]=n.weightsFiles[a.indexOf(t)]}))}if(r.length!==this.weightsFiles.length)throw new Error("Mismatch in the number of files in weights manifest ("+r.length+") and the number of weight files provided ("+this.weightsFiles.length+").");return i},e}();function PN(e,t,n,r){!function(e){Uv(null!=e&&Array.isArray(e)&&e.length>0,(function(){return"promises must be a none empty array"}))}(e),function(e,t){Uv(e>=0&&e<=1,(function(){return"Progress fraction must be in range [0, 1], but got startFraction "+e})),Uv(t>=0&&t<=1,(function(){return"Progress fraction must be in range [0, 1], but got endFraction "+t})),Uv(t>=e,(function(){return"startFraction must be no more than endFraction, but got startFraction "+e+" and endFraction "+t}))}(n=null==n?0:n,r=null==r?1:r);var a=0;return Promise.all(e.map((function(i){return i.then((function(i){var o=n+ ++a/e.length*(r-n);return t(o),i})),i})))}function BN(e,t){return WN.apply(this,arguments)}function WN(){return(WN=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),r=null==n.fetchFunc?Rg().platform.fetch:n.fetchFunc,a=t.map((function(e){return r(e,n.requestInit,{isBinary:!0})})),i=0,o=.5,null!=n.onProgress){e.next=11;break}return e.next=8,Promise.all(a);case 8:e.t0=e.sent,e.next=14;break;case 11:return e.next=13,PN(a,n.onProgress,i,o);case 13:e.t0=e.sent;case 14:if(s=e.t0,u=s.map((function(e){return e.arrayBuffer()})),l=.5,c=1,null!=n.onProgress){e.next=24;break}return e.next=21,Promise.all(u);case 21:e.t1=e.sent,e.next=27;break;case 24:return e.next=26,PN(u,n.onProgress,l,c);case 26:e.t1=e.sent;case 27:return p=e.t1,e.abrupt("return",p);case 29:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function UN(e,t,n,r){return VN.apply(this,arguments)}function VN(){return(VN=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===n&&(n=""),i=GN((function(e){return BN(e,{requestInit:a})})),e.abrupt("return",i(t,n,r));case 4:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function GN(e){return function(){var t=xv(regeneratorRuntime.mark((function t(n,r,a){var i,o,s,u,l,c,p,h,f,d;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(void 0===r&&(r=""),i=n.map((function(){return!1})),o={},s=null!=a?a.map((function(){return!1})):[],u=[],n.forEach((function(e,t){var n=0;e.weights.forEach((function(e){var r="quantization"in e?e.quantization.dtype:e.dtype,l=Ak[r]*Hv(e.shape),c=function(){i[t]=!0,null==o[t]&&(o[t]=[]),o[t].push({manifestEntry:e,groupOffset:n,sizeBytes:l})};null!=a?a.forEach((function(t,n){t===e.name&&(c(),s[n]=!0)})):c(),u.push(e.name),n+=l}))})),s.every((function(e){return e}))){t.next=9;break}throw l=a.filter((function(e,t){return!s[t]})),new Error("Could not find weights in manifest with names: "+l.join(", ")+". \nManifest JSON has weights with names: "+u.join(", ")+".");case 9:return c=i.reduce((function(e,t,n){return t&&e.push(n),e}),[]),p=[],c.forEach((function(e){n[e].paths.forEach((function(e){var t=r+(r.endsWith("/")?"":"/")+e;p.push(t)}))})),t.next=14,e(p);case 14:return h=t.sent,f={},d=0,c.forEach((function(e){for(var t=n[e].paths.length,r=0,a=0;a<t;a++)r+=h[d+a].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,l=0;l<t;l++){var c=new Uint8Array(h[d+l]);s.set(c,u),u+=c.byteLength}o[e].forEach((function(e){var t=Dk(i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(var n in t)f[n]=t[n]})),d+=t})),t.abrupt("return",f);case 19:case"end":return t.stop()}}),t)})));return function(e,n,r){return t.apply(this,arguments)}}()}qk.registerSaveRouter((function(e){return Rg().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(LN.URL_SCHEME)?function(e){void 0===e&&(e="model");return new LN(e)}(e.slice(LN.URL_SCHEME.length)):null}));var jN=function(){function e(e,t){if(this.DEFAULT_METHOD="POST",null==t&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,null!=t.fetchFunc?(Uv("function"==typeof t.fetchFunc,(function(){return"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"})),this.fetch=t.fetchFunc):this.fetch=Rg().platform.fetch,Uv(null!=e&&e.length>0,(function(){return"URL path for http must not be null, undefined or empty."})),Array.isArray(e)&&Uv(2===e.length,(function(){return"URL paths for http must have a length of 2, (actual length is "+e.length+")."})),this.path=e,null!=t.requestInit&&null!=t.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}var t=e.prototype;return t.save=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(t.modelTopology instanceof ArrayBuffer)){e.next=2;break}throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");case 2:return(n=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,r=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],a=Uk(t,r),n.body.append("model.json",new Blob([JSON.stringify(a)],{type:"application/json"}),"model.json"),null!=t.weightData&&n.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin"),e.next=10,this.fetch(this.path,n);case 10:if(!(i=e.sent).ok){e.next=15;break}return e.abrupt("return",{modelArtifactsInfo:jk(t),responses:[i]});case 15:throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+i.status+".");case 16:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.load=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.fetch(this.path,this.requestInit);case 2:if((t=e.sent).ok){e.next=5;break}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.");case 5:return e.prev=5,e.next=8,t.json();case 8:n=e.sent,e.next=16;break;case 11:throw e.prev=11,e.t0=e.catch(5),r="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?r+=" 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.":r+=" Please make sure the server is serving valid JSON for this request.",new Error(r);case 16:if(a=n.modelTopology,i=n.weightsManifest,null!=a||null!=i){e.next=20;break}throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");case 20:return e.abrupt("return",Vk(n,(function(e){return o.loadWeights(e)})));case 21:case"end":return e.stop()}}),e,this,[[5,11]])})));return function(){return e.apply(this,arguments)}}(),t.loadWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(n=Array.isArray(this.path)?this.path[1]:this.path,r=HN(n),a=r[0],i=r[1],o=this.weightPathPrefix||a,s=[],u=Fv(t);!(l=u()).done;)c=l.value,s.push.apply(s,c.weights);for(p=[],h=[],f=Fv(t);!(d=f()).done;)for(m=d.value,v=Fv(m.paths);!(g=v()).done;)y=g.value,null!=this.weightUrlConverter?h.push(this.weightUrlConverter(y)):p.push(o+y+i);if(!this.weightUrlConverter){e.next=15;break}return e.t0=p.push,e.t1=p,e.next=13,Promise.all(h);case 13:e.t2=e.sent,e.t0.apply.call(e.t0,e.t1,e.t2);case 15:return e.next=17,BN(p,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});case 17:return b=e.sent,e.abrupt("return",[s,Bk(b)]);case 19:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}();function HN(e){var t=e.lastIndexOf("/"),n=e.lastIndexOf("?");return[e.substring(0,t)+"/",n>t?e.substring(n):""]}function qN(e){return null!=e.match(jN.URL_SCHEME_REGEX)}jN.URL_SCHEME_REGEX=/^https?:\/\//;var KN=function(e,t){if("undefined"==typeof fetch&&(null==t||null==t.fetchFunc))return null;return(Array.isArray(e)?e.every((function(e){return qN(e)})):qN(e))?XN(e,t):null};function XN(e,t){return new jN(e,t)}function YN(e,t){return XN(e,t)}qk.registerSaveRouter(KN),qk.registerLoadRouter(KN);var JN=function(){function e(e){this.modelArtifacts=e}return e.prototype.load=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.modelArtifacts);case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),e}(),ZN=function(){function e(e){this.saveHandler=e}return e.prototype.save=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.saveHandler(t));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}();var QN={__proto__:null,browserFiles:function(e){return new zN(e)},browserHTTPRequest:YN,concatenateArrayBuffers:Bk,decodeWeights:Dk,encodeWeights:_k,fromMemory:function(e,t,n,r){if(1===arguments.length){var a=null!=e.modelTopology||null!=e.weightSpecs;return a?new JN(e):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new JN({modelTopology:e}))}return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new JN({modelTopology:e,weightSpecs:t,weightData:n,trainingConfig:r})},getLoadHandlers:Xk,getModelArtifactsForJSON:Vk,getModelArtifactsInfoForJSON:jk,getSaveHandlers:Kk,http:XN,isHTTPScheme:qN,loadWeights:UN,registerLoadRouter:function(e){return qk.registerLoadRouter(e)},registerSaveRouter:function(e){return qk.registerSaveRouter(e)},weightsLoaderFactory:GN,withSaveHandler:function(e){return new ZN(e)},copyModel:function(e,t){return SN.apply(this,arguments)},listModels:function(){return NN.apply(this,arguments)},moveModel:function(e,t){return TN.apply(this,arguments)},removeModel:function(e){return IN.apply(this,arguments)}};var $N=Tk({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Nk(e,"a","matMul"),i=Nk(t,"b","matMul"),o=rk(a,i),s={a:a=o[0],b:i=o[1]},u={transposeA:n,transposeB:r};return dk.runKernel(Jg,s,u)}});var eI=Tk({oneHot_:function(e,t,n,r){if(void 0===n&&(n=1),void 0===r&&(r=0),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);var a={indices:Nk(e,"indices","oneHot","int32")},i={depth:t,onValue:n,offValue:r};return dk.runKernel(Rb,a,i)}});var tI=Tk({transpose_:function(e,t){var n=Nk(e,"x","transpose");if(null==t&&(t=n.shape.map((function(e,t){return t})).reverse()),Uv(n.rank===t.length,(function(){return"Error in transpose: rank of input "+n.rank+" must match length of perm "+t+"."})),t.forEach((function(e){Uv(e>=0&&e<n.rank,(function(){return"All entries in 'perm' must be between 0 and "+(n.rank-1)+" but got "+t}))})),n.rank<=1)return n.clone();var r={x:n},a={perm:t};return dk.runKernel(Sx,r,a)}});var nI={__proto__:null,confusionMatrix:Tk({confusionMatrix_:function(e,t,n){var r=Nk(e,"labels","confusionMatrix"),a=Nk(t,"predictions","confusionMatrix");Uv(null==n||n>0&&Number.isInteger(n),(function(){return"If provided, numClasses must be a positive integer, but got "+n})),Uv(1===r.rank,(function(){return"Expected the rank of labels to be 1, but got "+r.rank})),Uv(1===a.rank,(function(){return"Expected the rank of predictions to be 1, but got "+a.rank})),Uv(r.shape[0]===a.shape[0],(function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+a.shape[0]+". Labels and predictions should have the same number of elements."})),Uv(n>0&&Number.isInteger(n),(function(){return"numClasses is required to be a positive integer, but got "+n}));var i=eI(FN(r,"int32"),n),o=eI(FN(a,"int32"),n),s=tI(i),u=$N(s,o);return FN(u,"int32")}})};function rI(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function aI(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function iI(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var oI,sI={__proto__:null,getBroadcastDims:rI,getReductionAxes:aI,assertAndGetBroadcastShape:iI};function uI(e,t,n){if(Gv(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=xk(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return Ck(e,t,r,n)}function lI(e,t){if(void 0===t&&(t=3),t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==e)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n=!1,r=!1,a=!1,i=!1,o=!1,s=!1;if(e.data instanceof Uint8Array)n=!0;else if("undefined"!=typeof ImageData&&e instanceof ImageData)r=!0;else if("undefined"!=typeof HTMLVideoElement&&e instanceof HTMLVideoElement)a=!0;else if("undefined"!=typeof HTMLImageElement&&e instanceof HTMLImageElement)i=!0;else if(null!=e.getContext)o=!0;else{if(!("undefined"!=typeof ImageBitmap&&e instanceof ImageBitmap))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was "+e.constructor.name);s=!0}if(a){if(a&&e.readyState<2)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.")}if(null!=Bx(_x,dk.backendName)){var u={pixels:e},l={numChannels:t};return dk.runKernel(_x,u,l)}var c,p,h=a?[e.videoWidth,e.videoHeight]:[e.width,e.height],f=h[0],d=h[1];if(o)c=e.getContext("2d").getImageData(0,0,f,d).data;else if(r||n)c=e.data;else if(i||a||s){if(null==oI)if("undefined"==typeof document){if("undefined"==typeof OffscreenCanvas||"undefined"==typeof OffscreenCanvasRenderingContext2D)throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");oI=new OffscreenCanvas(1,1).getContext("2d")}else oI=document.createElement("canvas").getContext("2d");oI.canvas.width=f,oI.canvas.height=d,oI.drawImage(e,0,0,f,d),c=oI.getImageData(0,0,f,d).data}if(4===t)p=new Int32Array(c);else{var m=f*d;p=new Int32Array(m*t);for(var v=0;v<m;v++)for(var g=0;g<t;++g)p[v*t+g]=c[4*v+g]}return uI(p,[d,f,t],"int32")}function cI(e){return"undefined"!=typeof window&&"undefined"!=typeof ImageBitmap&&window.hasOwnProperty("createImageBitmap")&&!(e instanceof ImageBitmap)&&function(e){return null!=e&&0!==e.width&&0!==e.height}(e)&&!function(e){return null!=e&&e.data instanceof Uint8Array}(e)}function pI(){return(pI=xv(regeneratorRuntime.mark((function e(t,n){var r,a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n=3),r=null,!Rg().getBool("WRAP_TO_IMAGEBITMAP")||!cI(t)){e.next=15;break}return e.prev=3,e.next=6,createImageBitmap(t,{premultiplyAlpha:"none"});case 6:a=e.sent,e.next=12;break;case 9:e.prev=9,e.t0=e.catch(3),a=null;case 12:r=null!=a&&a.width===t.width&&a.height===t.height?a:t,e.next=16;break;case 15:r=t;case 16:return e.abrupt("return",lI(r,n));case 17:case"end":return e.stop()}}),e,null,[[3,9]])})))).apply(this,arguments)}function hI(){return(hI=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h,f,d,m,v,g,y;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=Nk(t,"img","toPixels"),t instanceof qw||(r=FN(a=r,"int32"),a.dispose()),2===r.rank||3===r.rank){e.next=4;break}throw new Error("toPixels only supports rank 2 or 3 tensors, got rank "+r.rank+".");case 4:if(i=r.shape.slice(0,2),o=i[0],s=i[1],!((u=2===r.rank?1:r.shape[2])>4||2===u)){e.next=8;break}throw new Error("toPixels only supports depth of size 1, 3 or 4 but got "+u);case 8:if("float32"===r.dtype||"int32"===r.dtype){e.next=10;break}throw new Error("Unsupported type for toPixels: "+r.dtype+". Please use float32 or int32 tensors.");case 10:return e.next=12,r.data();case 12:l=e.sent,c="float32"===r.dtype?255:1,p=new Uint8ClampedArray(s*o*4),h=0;case 16:if(!(h<o*s)){e.next=41;break}f=[0,0,0,255],d=0;case 19:if(!(d<u)){e.next=33;break}if(m=l[h*u+d],"float32"!==r.dtype){e.next=26;break}if(!(m<0||m>1)){e.next=24;break}throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered "+m+".");case 24:e.next=29;break;case 26:if("int32"!==r.dtype){e.next=29;break}if(!(m<0||m>255)){e.next=29;break}throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered "+m+".");case 29:1===u?(f[0]=m*c,f[1]=m*c,f[2]=m*c):f[d]=m*c;case 30:d++,e.next=19;break;case 33:p[(v=4*h)+0]=Math.round(f[0]),p[v+1]=Math.round(f[1]),p[v+2]=Math.round(f[2]),p[v+3]=Math.round(f[3]);case 38:++h,e.next=16;break;case 41:return null!=n&&(n.width=s,n.height=o,g=n.getContext("2d"),y=new ImageData(p,s,o),g.putImageData(y,0,0)),r!==t&&r.dispose(),e.abrupt("return",p);case 44:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var fI=Tk({fromPixels_:lI}),dI={__proto__:null,fromPixelsAsync:function(e,t){return pI.apply(this,arguments)},toPixels:function(e,t){return hI.apply(this,arguments)},fromPixels:fI};function mI(e,t){var n=e.shape.length,r=t.shape.length;if(n<1)throw new Error("tf.gatherND() expects the input to be rank 1 or higher, but the rank was "+n+".");if(r<1)throw new Error("tf.gatherND() expects the indices to be rank 1 or higher, but the rank was "+r+".");if("int32"!==t.dtype)throw new Error("tf.gatherND() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.shape[r-1]>n)throw new Error("index innermost dimension length must be <= tensor rank; saw: "+t.shape[r-1]+" vs. "+n);if(0===Hv(e.shape))throw new Error("Requested more than 0 entries, but input is empty. Input shape: "+e.shape+".");for(var a=t.shape,i=a[a.length-1],o=1,s=0;s<a.length-1;++s)o*=a[s];var u=e.shape,l=a.slice();l.pop();for(var c=1,p=i;p<n;++p)c*=u[p],l.push(u[p]);var h=[].concat(dg(e.shape).map((function(e){return e/c})),[1]).slice(0,i);return[l,o,c,h]}var vI={__proto__:null,prepareAndValidate:mI};function gI(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: "+n.shape+", indices.shape: "+t.shape+", shape: "+e+", sliceDim: "+r+", and batchDim: "+a+".";if(n.rank<a)throw new Error(i+" update.rank < "+a+". ");if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < "+(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != "+(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape["+o+"] ("+n.shape[o]+") != indices.shape["+o+"] ("+t.shape[o]+").");for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape["+(s+a)+"] ("+n.shape[s+a]+") != shape["+(s+a)+"] ("+e[s+a]+")")}function yI(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher, but the rank was "+t.rank+".");if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher, but the rank was "+e.rank+".");if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: "+t.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===t.size)throw new Error("Indices specified for empty output. indices shape: "+t.shape);if(0===e.size)throw new Error("Updates specified for empty output. updates shape: "+e.shape)}gI(n,t,e)}function bI(e,t,n){for(var r=t.shape.length,a=r>1?t.shape[r-1]:1,i=n.length,o=1,s=a;s<i;++s)o*=n[s];var u=a<1?1:a;return{sliceRank:a,numUpdates:Hv(t.shape)/u,sliceSize:o,strides:[].concat(dg(n.slice(0,a)),[1]),outputSize:Hv(n)}}var xI={__proto__:null,validateUpdateShape:gI,validateInput:yI,calculateShapes:bI};function wI(e,t,n){var r=e.shape.length;Uv(r===t.length,(function(){return"Error in slice"+r+"D: Length of begin "+t+" must match the rank of the array ("+r+")."})),Uv(r===n.length,(function(){return"Error in slice"+r+"D: Length of size "+n+" must match the rank of the array ("+r+")."}));for(var a=function(a){Uv(t[a]+n[a]<=e.shape[a],(function(){return"Error in slice"+r+"D: begin["+a+"] + size["+a+"] ("+(t[a]+n[a])+") would overflow input.shape["+a+"] ("+e.shape[a]+")"}))},i=0;i<r;++i)a(i)}function kI(e,t,n){for(var r=[],a=0;a<e.length;a++)r[a]=Math.ceil((t[a]-e[a])/n[a]);return r}function NI(e,t,n,r){for(var a=[].concat(e),i=a.length;i<r.length;i++)a.push(1);for(var o=0;o<n;o++)0===o?a[t]=1:(a.splice(t,0,1),a.pop());return a}function II(e,t,n){return n<=e?n:n-(t-1)}function SI(e,t){for(var n=[],r=0;r<e;r++)n.push(t+r);return n}function TI(e,t,n,r,a){for(var i=[].concat(a),o=SI(n,t),s=0;s<i.length;s++)if(o.indexOf(s)>-1)i[s]=0;else{var u=II(t,n,s),l=r[u];e&1<<u&&(l=0),i[s]=l}return i}function EI(e,t,n,r,a){for(var i=[].concat(a),o=SI(n,t),s=0;s<i.length;s++)if(o.indexOf(s)>-1)i[s]=Number.MAX_SAFE_INTEGER;else{var u=II(t,n,s),l=r[u];e&1<<u&&(l=Number.MAX_SAFE_INTEGER),i[s]=l}for(var c=0;c<i.length;c++){var p=a[c];i[c]<0&&(i[c]+=p),i[c]=zv(0,i[c],a[c])}return i}function CI(e,t,n){var r=e[t];return(n&1<<t||null==r)&&(r=1),r}function RI(e,t,n,r,a,i){var o=t[a],s=n[a]||1;(e&1<<a||i&1<<a||null==o)&&(o=s>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var u=r[a];return o<0&&(o+=u),o=zv(0,o,u-1)}function AI(e,t,n,r,a,i){var o=t[a],s=n[a]||1;(e&1<<a||i&1<<a||null==o)&&(o=s>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var u=r[a];return o<0&&(o+=u),o=s>0?zv(0,o,u):zv(-1,o,u-1)}function _I(e,t,n){for(var r=n.length,a=0;a<n.length;a++)if(n[a]>1){r=a;break}for(var i=r+1;i<n.length;i++)if(t[i]>0||n[i]!==e[i])return!1;return!0}function FI(e,t){for(var n=e.length>0?e[e.length-1]:1,r=0;r<e.length-1;r++)n+=e[r]*t[r];return n}function DI(e,t,n){var r,a,i=e.shape.length;return(r="number"==typeof t?[t].concat(new Array(i-1).fill(0)):t.length<i?t.concat(new Array(i-t.length).fill(0)):t.slice()).forEach((function(e){Uv(-1!==e,(function(){return"slice() does not support negative begin indexing."}))})),a=(a=null==n?new Array(i).fill(-1):"number"==typeof n?[n].concat(new Array(i-1).fill(-1)):n.length<i?n.concat(new Array(i-n.length).fill(-1)):n).map((function(t,n){return t>=0?t:(Uv(-1===t,(function(){return"Negative size values should be exactly -1 but got "+t+" for the slice() size at index "+n+"."})),e.shape[n]-r[n])})),[r,a]}function OI(e,t,n,r,a,i,o,s,u){var l;if(null==r?(l=new Array(t.length)).fill(1):l=r,null!=o&&0!=(o&o-1))throw new Error("Multiple ellipses in slice is not allowed.");for(var c=!1,p={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:n.slice(),strides:l.slice(),beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u},h=0;h<p.dims;h++)c&&0!=(1<<h&s)&&p.numAddAxisAfterEllipsis++,1<<h&o&&(c=!0);c||(p.ellipsisMask|=1<<p.dims,p.dims++);var f={dims:e.length,beginMask:0,endMask:0,beginValid:!1,endValid:!1};!function(e,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;var n=0;t.beginValid=null!=e.begin,t.endValid=null!=e.end,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(var r=0;r<e.dims;r++)if(1<<r&e.ellipsisMask)for(var a=Math.min(t.dims-(e.dims-r)+1+e.numAddAxisAfterEllipsis,t.dims);n<a;n++)t.begin[n]=0,t.end[n]=0,t.strides[n]=1,t.beginMask|=1<<n,t.endMask|=1<<n,t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(-1),t.inputShapeGatherIndicesSparse[n]=r;else if(1<<r&e.newAxisMask)t.finalShapeGatherIndices.push(-2),t.finalShapeGatherIndicesSparse.push(-1);else{if(n===t.begin.length)throw Error("Index out of range using input dim "+n+"; input has only "+t.dims+" dims, "+t.begin.length+".");null!=e.begin&&(t.begin[n]=e.begin[r]),null!=e.end&&(t.end[n]=e.end[r]),t.strides[n]=e.strides[r],e.beginMask&1<<r&&(t.beginMask|=1<<n),e.endMask&1<<r&&(t.endMask|=1<<n),e.shrinkAxisMask&1<<r?(t.finalShapeGatherIndices.push(-1),t.finalShapeGatherIndicesSparse.push(-1),t.shrinkAxisMask|=1<<n):(t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(r)),t.inputShapeGatherIndicesSparse[n]=r,n++}}(p,f);for(var d=!0,m=!0,v=!0,g=[],y=[],b=0;b<e.length;++b){if(0===f.strides[b])throw Error("strides["+b+"] must be non-zero");var x=!!(f.shrinkAxisMask&1<<b),w=e[b];if(-1!==w){var k=[f.beginMask&1<<b,f.endMask&1<<b],N=[f.strides[b]>0?0:-1,f.strides[b]>0?w:w-1];if(x&&f.strides[b]<=0)throw Error("only stride 1 allowed on non-range indexing.");v=v&&1===f.strides[b];var I=!!(f.beginMask&1<<b&&f.endMask&1<<b);if(f.beginValid&&f.endValid){if(x){var S=f.begin[b]<0?w+f.begin[b]:f.begin[b];if(f.begin[b]=S,f.end[b]=f.begin[b]+1,S<0||S>=w)throw Error("slice index "+f.begin[b]+" of dimension "+b+" out of bounds.")}else f.begin[b]=MI(f.begin[b],0,f.strides[b],w,k,N),f.end[b]=MI(f.end[b],1,f.strides[b],w,k,N);var T=1===f.strides[b]&&0===f.begin[b]&&f.end[b]===w;d=d&&T,m=m&&(0===b&&1===f.strides[b]||T)}else d=d&&1===f.strides[b]&&I,m=m&&(0===b&&1===f.strides[b]||I);var E=void 0,C=!1;if(f.beginValid&&f.endValid?(E=f.end[b]-f.begin[b],C=!0):x?(E=1,C=!0):I&&w>=0&&(E=f.strides[b]<0?-w:w,C=!0),C){var R=void 0;R=0===E||E<0!=f.strides[b]<0?0:Math.trunc(E/f.strides[b])+(E%f.strides[b]!=0?1:0),g.push(R)}else g.push(-1)}else g.push(x?1:-1)}for(var A=0;A<f.finalShapeGatherIndices.length;++A){var _=f.finalShapeGatherIndices[A];_>=0?y.push(g[_]):-2===_&&y.push(1)}return{finalShapeSparse:y.filter((function(e,t){return-2!==f.finalShapeGatherIndices[t]})),finalShape:y,isIdentity:d,sliceDim0:m,isSimpleSlice:v,begin:f.begin,end:f.end,strides:f.strides}}function MI(e,t,n,r,a,i){if(a[t])return n>0?i[t]:i[t+1&1];var o=e<0?r+e:e;return o<i[0]?i[0]:o>i[1]?i[1]:o}var LI={__proto__:null,assertParamsValid:wI,maskToAxes:function(e){for(var t=[],n=0;e>0;)1&e&&t.push(n),e/=2,n++;return t},computeOutShape:kI,stridesWithElidedDims:NI,getNormalizedAxes:function(e,t,n,r,a,i,o,s,u){var l=e.length,c=new Array(l),p=new Array(l),h=new Array(l);if(t.length&&n>0){var f=t[0],d=n+1;c=TI(o,f,d,r,e),p=EI(s,f,d,a,e),h=NI(i,f,d,e)}else for(var m=0;m<l;m++)c[m]=RI(o,r,i,e,m,u),p[m]=AI(s,a,i,e,m,u),h[m]=CI(i,m,u);return{begin:c,end:p,strides:h}},startIndicesWithElidedDims:TI,stopIndicesWithElidedDims:EI,stridesForAxis:CI,startForAxis:RI,stopForAxis:AI,isSliceContinous:_I,computeFlatOffset:FI,parseSliceParams:DI,sliceInfo:OI},zI=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),PI=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]},e}();function BI(e){Uv(null!=e.className,(function(){return"Class being registered does not have the static className property defined."})),Uv("string"==typeof e.className,(function(){return"className is required to be a string, but got type "+typeof e.className})),Uv(e.className.length>0,(function(){return"Class being registered has an empty-string as its className, which is disallowed."})),PI.register(e)}var WI={__proto__:null,Serializable:zI,SerializationMap:PI,registerClass:BI};function UI(){return 32===dk.backend.floatPrecision()?.001:.1}function VI(e,t,n){var r=!0;if((ig(e)||ig(t))&&(r=!1),ig(e)&&ig(t)&&(r=!0),r){var a=e.constructor.name,i=t.constructor.name;if(a!==i)throw new Error("Arrays are of different type. Actual: "+a+". Expected: "+i)}if(Array.isArray(e)&&Array.isArray(t)){var o=xk(e),s=xk(t);if(!qv(o,s))throw new Error("Arrays have different shapes. Actual: ["+o+"]. Expected: ["+s+"]")}var u=ig(e)?e:jv(e),l=ig(t)?t:jv(t);if(u.length!==l.length)throw new Error("Arrays have different lengths actual: "+u.length+" vs expected: "+l.length+".\nActual:   "+u+".\nExpected: "+l+".");for(var c=0;c<l.length;++c){var p=u[c],h=l[c];if(!n(p,h))throw new Error("Arrays differ: actual["+c+"] = "+p+", expected["+c+"] = "+h+".\nActual:   "+u+".\nExpected: "+l+".")}}function GI(e,t,n){if(null==n&&(n=UI()),!jI(e,t,n))throw new Error("Numbers differ: actual === "+e+", expected === "+t)}function jI(e,t,n){return!isFinite(e)&&!isFinite(t)||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}var HI={__proto__:null,TEST_EPSILON_FLOAT16:.1,expectArraysClose:function(e,t,n){return null==n&&(n=UI()),VI(e,t,(function(e,t){return jI(e,t,n)}))},testEpsilon:UI,expectPromiseToFail:function(e,t){e().then((function(){return t.fail()}),(function(){return t()}))},expectArraysEqual:function(e,t){var n="string"==typeof t||"number"==typeof t||"boolean"==typeof t?[t]:t;return ug(e)||ug(e[0])||ug(t)||ug(t[0])?VI(e,n,(function(e,t){return e==t})):VI(e,t,(function(e,t){return jI(e,t,0)}))},expectNumbersClose:GI,expectValuesInRange:function(e,t,n){for(var r=0;r<e.length;r++)if(e[r]<t||e[r]>n)throw new Error("Value out of range:"+e[r]+" low: "+t+", high: "+n)},expectArrayBuffersEqual:function(e,t){var n=new Float32Array(e),r=new Float32Array(t);if(n.length!==r.length)throw new Error("Expected ArrayBuffer to be of length "+r.length+", but it was "+n.length);for(var a=0;a<r.length;a++)if(n[a]!==r[a])throw new Error("Expected ArrayBuffer value at "+a+" to be "+r[a]+" but got "+n[a]+" instead")},encodeStrings:function e(t){for(var n=0;n<t.length;n++){var r=t[n];Array.isArray(r)?e(r):t[n]=Dw(r)}return t}},qI="3.14.0";function KI(e){Rg().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}function XI(){return dk}function YI(){return dk.memory()}function JI(e,t){return dk.tidy(e,t)}function ZI(e){ok(e).forEach((function(e){return e.dispose()}))}function QI(e){return dk.keep(e)}function $I(e){return dk.setBackend(e)}function eS(e,t,n){return void 0===n&&(n=1),dk.registerBackend(e,t,n)}function tS(){return dk.backend}var nS=Tk({add_:function(e,t){var n=Nk(e,"a","add"),r=Nk(t,"b","add"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(Mg,i)}});var rS=Tk({floorDiv_:function(e,t){var n=Nk(e,"a","floorDiv"),r=Nk(t,"b","floorDiv"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(By,i)}});var aS=Tk({div_:function(e,t){var n=Nk(e,"a","div"),r=Nk(t,"b","div"),a=rk(n,r);if(n=a[0],r=a[1],"int32"===n.dtype&&"int32"===r.dtype)return rS(n,r);var i={a:n,b:r};return dk.runKernel(Ty,i,{})}});var iS=Tk({mul_:function(e,t){var n=Nk(e,"a","mul"),r=Nk(t,"b","mul"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(kb,i)}});var oS=Tk({abs_:function(e){var t=Nk(e,"x","abs");if("complex64"===t.dtype){var n={x:t};return dk.runKernel(iy,n)}var r={x:t};return dk.runKernel(Fg,r)}});var sS=Tk({acos_:function(e){var t={x:Nk(e,"x","acos")};return dk.runKernel(Dg,t)}});var uS=Tk({acosh_:function(e){var t={x:Nk(e,"x","acosh")};return dk.runKernel(Og,t)}});var lS=Tk({addN_:function(e){Uv(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),Uv(e.length>=1,(function(){return"Must pass at least one tensor to tf.addN(), but got "+e.length}));var t=e.map((function(e,t){return Nk(e,"tensors"+t,"addN")})),n=t[0];t.forEach((function(e){if(e.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")})),t.forEach((function(e){if(!qv(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return dk.runKernel(Lg,r)}});var cS=Tk({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Nk(e,"x","all","bool")},a={axis:t,keepDims:n};return dk.runKernel(zg,r,a)}});var pS=Tk({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Nk(e,"x","any","bool")},a={axis:t,keepDims:n};return dk.runKernel(Pg,r,a)}});var hS=Tk({argMax_:function(e,t){void 0===t&&(t=0);var n={x:Nk(e,"x","argMax")},r={axis:t};return dk.runKernel(Bg,n,r)}});var fS=Tk({argMin_:function(e,t){void 0===t&&(t=0);var n={x:Nk(e,"x","argMin")},r={axis:t};return dk.runKernel(Wg,n,r)}});var dS=Tk({asin_:function(e){var t={x:Nk(e,"x","asin")};return dk.runKernel(Ug,t)}});var mS=Tk({asinh_:function(e){var t={x:Nk(e,"x","asinh")};return dk.runKernel(Vg,t)}});var vS=Tk({atan_:function(e){var t={x:Nk(e,"x","atan")};return dk.runKernel(Gg,t)}});var gS=Tk({atan2_:function(e,t){var n=Nk(e,"a","atan2"),r=Nk(t,"b","atan2"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(Hg,i)}});var yS=Tk({atanh_:function(e){var t={x:Nk(e,"x","atanh")};return dk.runKernel(jg,t)}});function bS(e,t,n,r,a,i){void 0===a&&(a="NHWC");var o=e[3];return kS(e,[].concat(t,[o]),n,i,r,null,null,_S(a))}function xS(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=SS(t),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,e[3],e[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,e[1],e[1]]}return kS(e,s,n,r,a,i,!1,o)}function wS(e,t,n,r,a,i,o){void 0===o&&(o="NDHWC");var s,u,l=TS(t),c=l[0],p=l[1],h=l[2];if("NDHWC"===o)u="channelsLast",s=[c,p,h,e[4],e[4]];else{if("NCDHW"!==o)throw new Error("Unknown dataFormat "+o);u="channelsFirst",s=[c,p,h,e[1],e[1]]}return NS(e,s,n,r,a,!1,u,i)}function kS(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=-1,l=-1,c=-1,p=-1;if("channelsLast"===s)u=e[0],l=e[1],c=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);u=e[0],p=e[1],l=e[2],c=e[3]}var h,f=t[0],d=t[1],m=t[3],v=SS(n),g=v[0],y=v[1],b=SS(r),x=b[0],w=b[1],k=ES(f,x),N=ES(d,w),I=function(e,t,n,r,a,i,o,s,u){var l,c,p;if("number"==typeof e){l={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var h=function(e,t,n,r,a){null==r&&(r=IS(e,t,n));var i=e[0],o=e[1],s=CS((i-t+2*r)/n+1,a),u=CS((o-t+2*r)/n+1,a);return[s,u]}([t,n],i,r,e,s);c=h[0],p=h[1]}else if("same"===e){c=Math.ceil(t/r),p=Math.ceil(n/a);var f=Math.max(0,(c-1)*r+i-t),d=Math.max(0,(p-1)*a+o-n),m=Math.floor(f/2),v=f-m,g=Math.floor(d/2);l={top:m,bottom:v,left:g,right:d-g,type:"SAME"}}else if("valid"===e)l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-i+1)/r),p=Math.ceil((n-o+1)/a);else{if("object"!=typeof e)throw Error("Unknown padding parameter: "+e);var y="channelsLast"===u?e[1][0]:e[2][0],b="channelsLast"===u?e[1][1]:e[2][1],x="channelsLast"===u?e[2][0]:e[3][0],w="channelsLast"===u?e[2][1]:e[3][1];l={top:y,bottom:b,left:x,right:w,type:0===y&&0===b&&0===x&&0===w?"VALID":"EXPLICIT"},c=CS((t-i+y+b)/r+1,s),p=CS((n-o+x+w)/a+1,s)}return{padInfo:l,outHeight:c,outWidth:p}}(a,l,c,g,y,k,N,i,s),S=I.padInfo,T=I.outHeight,E=I.outWidth,C=o?m*p:m;return"channelsFirst"===s?h=[u,C,T,E]:"channelsLast"===s&&(h=[u,T,E,C]),{batchSize:u,dataFormat:s,inHeight:l,inWidth:c,inChannels:p,outHeight:T,outWidth:E,outChannels:C,padInfo:S,strideHeight:g,strideWidth:y,filterHeight:f,filterWidth:d,effectiveFilterHeight:k,effectiveFilterWidth:N,dilationHeight:x,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function NS(e,t,n,r,a,i,o,s){void 0===i&&(i=!1),void 0===o&&(o="channelsLast");var u=-1,l=-1,c=-1,p=-1,h=-1;if("channelsLast"===o)u=e[0],l=e[1],c=e[2],p=e[3],h=e[4];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);u=e[0],h=e[1],l=e[2],c=e[3],p=e[4]}var f,d=t[0],m=t[1],v=t[2],g=t[4],y=TS(n),b=y[0],x=y[1],w=y[2],k=TS(r),N=k[0],I=k[1],S=k[2],T=ES(d,N),E=ES(m,I),C=ES(v,S),R=function(e,t,n,r,a,i,o,s,u,l,c){var p,h,f,d;if("number"==typeof e){p={top:e,bottom:e,left:e,right:e,front:e,back:e,type:0===e?"VALID":"NUMBER"};var m=function(e,t,n,r,a,i){null==a&&(a=IS(e,t,r));var o=e[0],s=e[1],u=e[2],l=CS((o-t+2*a)/r+1,i),c=CS((s-t+2*a)/r+1,i),p=CS((u-t+2*a)/r+1,i);return[l,c,p,n]}([t,n,r,1],s,1,a,e,c);h=m[0],f=m[1],d=m[2]}else if("same"===e){var v=((h=Math.ceil(t/a))-1)*a+s-t,g=((f=Math.ceil(n/i))-1)*i+u-n,y=((d=Math.ceil(r/o))-1)*o+l-r,b=Math.floor(v/2),x=v-b,w=Math.floor(g/2),k=g-w,N=Math.floor(y/2);p={top:w,bottom:k,left:N,right:y-N,front:b,back:x,type:"SAME"}}else{if("valid"!==e)throw Error("Unknown padding parameter: "+e);p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},h=Math.ceil((t-s+1)/a),f=Math.ceil((n-u+1)/i),d=Math.ceil((r-l+1)/o)}return{padInfo:p,outDepth:h,outHeight:f,outWidth:d}}(a,l,c,p,b,x,w,T,E,C,s),A=R.padInfo,_=R.outDepth,F=R.outHeight,D=R.outWidth,O=i?g*h:g;return"channelsFirst"===o?f=[u,O,_,F,D]:"channelsLast"===o&&(f=[u,_,F,D,O]),{batchSize:u,dataFormat:o,inDepth:l,inHeight:c,inWidth:p,inChannels:h,outDepth:_,outHeight:F,outWidth:D,outChannels:O,padInfo:A,strideDepth:b,strideHeight:x,strideWidth:w,filterDepth:d,filterHeight:m,filterWidth:v,effectiveFilterDepth:T,effectiveFilterHeight:E,effectiveFilterWidth:C,dilationDepth:N,dilationHeight:I,dilationWidth:S,inShape:e,outShape:f,filterShape:t}}function IS(e,t,n,r){void 0===r&&(r=1);var a=ES(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function SS(e){return"number"==typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function TS(e){return"number"==typeof e?[e,e,e]:e}function ES(e,t){return t<=1?e:e+(e-1)*(t-1)}function CS(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}function RS(e){var t=SS(e),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function AS(e,t){return RS(e)||RS(t)}function _S(e){if("NHWC"===e)return"channelsLast";if("NCHW"===e)return"channelsFirst";throw new Error("Unknown dataFormat "+e)}function FS(e,t,n){if(null!=n){if("string"==typeof t)throw Error("Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+".");if("number"==typeof t)Uv(Kv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}));else{if("object"!=typeof t)throw Error("Error in "+e+": Unknown padding parameter: "+t);t.forEach((function(t){t.forEach((function(t){Uv(Kv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}))}))}))}}}var DS=Tk({reshape_:function(e,t){var n={x:Nk(e,"x","reshape","string_or_numeric")},r={shape:t};return dk.runKernel(Bb,n,r)}});var OS=Tk({avgPool_:function(e,t,n,r,a){var i=Nk(e,"x","avgPool","float32");Uv(AS(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"}));var o=i,s=!1;3===i.rank&&(s=!0,o=DS(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Uv(4===o.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+o.rank+"."})),FS("avgPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=dk.runKernel(qg,u,l);return c=FN(c,i.dtype),s?DS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var MS=Tk({avgPool3d_:function(e,t,n,r,a,i){void 0===i&&(i="NDHWC");var o=Nk(e,"x","avgPool3d","float32"),s=o,u=!1;4===o.rank&&(u=!0,s=DS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Uv(5===s.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank "+s.rank+"."})),Uv("NDHWC"===i,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),FS("avgPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=dk.runKernel(Xg,l,c);return p=FN(p,s.dtype),u?DS(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var LS=Tk({concat_:function(e,t){void 0===t&&(t=0),Uv(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=Ik(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach((function(e){if("complex64"!==e.dtype)throw new Error("Cannot concatenate complex64 tensors with a tensor\n          with dtype "+e.dtype+". ")})),1===n.length)return DN(n[0]);var r=n,a={axis:t};return dk.runKernel(oy,r,a)}});var zS=Tk({sigmoid_:function(e){var t={x:Nk(e,"x","sigmoid","float32")};return dk.runKernel(tx,t)}});var PS=Tk({slice_:function(e,t,n){var r=Nk(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");var a={x:r},i={begin:t,size:n};return dk.runKernel(Zb,a,i)}});var BS=Tk({tanh_:function(e){var t={x:Nk(e,"x","tanh","float32")};return dk.runKernel(wx,t)}});var WS=Tk({basicLSTMCell_:function(e,t,n,r,a,i){var o=Nk(e,"forgetBias","basicLSTMCell"),s=Nk(t,"lstmKernel","basicLSTMCell"),u=Nk(n,"lstmBias","basicLSTMCell"),l=Nk(r,"data","basicLSTMCell"),c=Nk(a,"c","basicLSTMCell"),p=Nk(i,"h","basicLSTMCell"),h=LS([l,p],1),f=$N(h,s),d=nS(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=PS(d,[0,0],g),b=PS(d,[0,v],g),x=PS(d,[0,2*v],g),w=PS(d,[0,3*v],g),k=nS(iS(zS(y),BS(b)),iS(c,zS(nS(o,x))));return[k,iS(BS(k),zS(w))]}});var US=Tk({batchToSpaceND_:function(e,t,n){var r=Nk(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Uv(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Uv(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length})),Uv(r.shape[0]%a==0,(function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a}));var i={x:r},o={blockShape:t,crops:n};return dk.runKernel(Zg,i,o)}});var VS=Tk({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=Nk(e,"x","batchNorm"),l=Nk(t,"mean","batchNorm"),c=Nk(n,"variance","batchNorm");null!=a&&(o=Nk(a,"scale","batchNorm")),null!=r&&(s=Nk(r,"offset","batchNorm")),Uv(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Uv(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Uv(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p={x:function(e){return 0===e.rank||1===e.rank?DS(e,[1,1,1,e.size]):2===e.rank?DS(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?DS(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),scale:o,offset:s,mean:l,variance:c},h={varianceEpsilon:i},f=dk.runKernel(Wy,p,h);return DS(f,u.shape)}});var GS=Tk({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=Nk(e,"x","batchNorm"),l=Nk(t,"mean","batchNorm"),c=Nk(n,"variance","batchNorm");return null!=a&&(o=Nk(a,"scale","batchNorm")),null!=r&&(s=Nk(r,"offset","batchNorm")),Uv(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Uv(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Uv(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."})),null!=o&&Uv(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."})),null!=s&&Uv(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),VS(u,l,c,s,o,i)}});var jS=Tk({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=Nk(e,"x","batchNorm"),l=Nk(t,"mean","batchNorm"),c=Nk(n,"variance","batchNorm");return null!=a&&(o=Nk(a,"scale","batchNorm")),null!=r&&(s=Nk(r,"offset","batchNorm")),Uv(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Uv(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Uv(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."})),null!=o&&Uv(3===o.rank||1===o.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."})),null!=s&&Uv(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),VS(u,l,c,s,o,i)}});var HS=Tk({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=Nk(e,"x","batchNorm"),l=Nk(t,"mean","batchNorm"),c=Nk(n,"variance","batchNorm");return null!=a&&(o=Nk(a,"scale","batchNorm")),null!=r&&(s=Nk(r,"offset","batchNorm")),Uv(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Uv(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Uv(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."})),null!=o&&Uv(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&Uv(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),VS(u,l,c,s,o,i)}});var qS=Tk({bincount_:function(e,t,n){var r=Nk(e,"x","bincount"),a=Nk(t,"weights","bincount");Uv("int32"===r.dtype,(function(){return"Error in bincount: input dtype must be int32, but got "+r.dtype})),Uv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Uv(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or0-length, but got input shape: "+r.shape+", weights shape: "+a.shape+"."}));var i={x:r,weights:a},o={size:n};return dk.runKernel(Qg,i,o)}});var KS=Tk({broadcastArgs_:function(e,t){var n=Nk(e,"s0","broadcastArgs","int32"),r=Nk(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). Has rank "+n.rank);if(1!==r.rank)throw new Error("broadcastArgs(): second input must be a vector (rank=1). Has rank "+r.rank);var a={s0:n,s1:r};return dk.runKernel(ey,a)}});var XS=Tk({broadcastTo_:function(e,t){var n=Nk(e,"broadcastTo","x"),r=n.shape;if(t.some((function(e){return!(e>0)||e%1!=0})))throw new Error("broadcastTo(): Invalid broadcast shape ["+t+"].");if(t.length<n.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+n.rank+".");if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=DS(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+t+"].");if(0===o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0})).length)return DN(n);var u={x:n},l={reps:o};return dk.runKernel(kx,u,l)}});var YS=Tk({ceil_:function(e){var t={x:Nk(e,"x","ceil","float32")};return dk.runKernel(ny,t)}});var JS=Tk({clipByValue_:function(e,t,n){var r=Nk(e,"x","clipByValue");Uv(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."}));var a={x:r},i={clipValueMin:t,clipValueMax:n};return dk.runKernel(ry,a,i)}});var ZS=Tk({concat1d_:function(e){return LS(e,0)}});var QS=Tk({concat2d_:function(e,t){return LS(e,t)}});var $S=Tk({concat3d_:function(e,t){return LS(e,t)}});var eT=Tk({concat4d_:function(e,t){return LS(e,t)}});var tT=Tk({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Nk(e,"x","conv2d","float32"),u=Nk(t,"filter","conv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=DS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Uv(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Uv(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),FS("conv2d",r,o);var p="NHWC"===a?l.shape[3]:l.shape[1];Uv(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Uv(AS(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=dk.runKernel(sy,h,f);return c?DS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var nT=Tk({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Nk(e,"x","conv1d"),u=Nk(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=DS(s,[1,s.shape[0],s.shape[1]])),Uv(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Uv(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),FS("conv1d",r,o),Uv(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]+"."})),Uv(AS(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Uv("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=DS(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=DS(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=tT(h,p,[1,n],r,"NHWC",[1,i],o);return DS(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var rT=Tk({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Uv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var s=e,u=t,l=!1;3===t.rank&&(l=!0,u=DS(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Uv(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Uv(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Uv(4===n.rank,(function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}));var c="NHWC"===i?s[3]:s[1],p="NHWC"===i?u.shape[3]:u.shape[1];Uv(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Uv(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),FS("conv2dDerInput",a,o);var h={dy:u,filter:n},f={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},d=dk.runKernel(ly,h,f);return l?DS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var aT=Tk({conv2dTranspose_:function(e,t,n,r,a,i){var o=Nk(e,"x","conv2dTranspose"),s=Nk(t,"filter","conv2dTranspose");return rT(n,o,s,r,a,"NHWC",i)}});var iT=Tk({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=Nk(e,"x","conv3d"),s=Nk(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=DS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Uv(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Uv(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Uv(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]+"."})),Uv(AS(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Uv("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=dk.runKernel(cy,c,p);return l?DS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var oT=Tk({conv3DBackpropInput_:function(e,t,n,r,a){Uv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var i=e,o=t,s=!1;4===t.rank&&(s=!0,o=DS(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),i=[1,e[0],e[1],e[2],e[3]]);var u=i[4],l=o.shape[4];Uv(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Uv(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Uv(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Uv(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Uv(l===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."}));var c={dy:o,filter:n},p={pad:a,strides:r,inputShape:i},h=dk.runKernel(hy,c,p);return s?DS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var sT=Tk({conv3dTranspose_:function(e,t,n,r,a){var i=Nk(e,"x","conv3dTranspose"),o=Nk(t,"filter","conv3dTranspose");return oT(n,i,o,r,a)}});var uT=Tk({cos_:function(e){var t={x:Nk(e,"x","cos","float32")};return dk.runKernel(fy,t)}});var lT=Tk({cosh_:function(e){var t={x:Nk(e,"x","cosh","float32")};return dk.runKernel(dy,t)}});var cT=Tk({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:Nk(e,"x","cumsum")},i={axis:t,exclusive:n,reverse:r};return dk.runKernel(my,a,i)}});var pT=Tk({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=Nk(e,"x","denseBincount"),i=Nk(t,"weights","denseBincount");Uv("int32"===a.dtype,(function(){return"Error in denseBincount: input dtype must be int32, but got "+a.dtype})),Uv(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got rank "+a.rank+"."})),Uv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Uv(i.size===a.size||0===i.size,(function(){return"Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: "+a.shape+", weights shape: "+i.shape+"."}));var o={x:a,weights:i},s={size:n,binaryOutput:r};return dk.runKernel(gy,o,s)}});var hT=Tk({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=Nk(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];Uv(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t})),Uv(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    "+a+" and "+t+"  for depthToSpace with input shape\n    "+r.shape})),Uv(i*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    "+i+" and "+t+" for depthToSpace with input shape\n        "+r.shape})),Uv(o%(t*t)==0,(function(){return"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape}));var s={x:r},u={blockSize:t,dataFormat:n};return dk.runKernel(yy,s,u)}});var fT=Tk({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Nk(e,"x","depthwiseConv2d","float32"),u=Nk(t,"filter","depthwiseConv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=DS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Uv(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Uv(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."})),Uv(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]+"."})),FS("depthwiseConv2d",r,o);var p={x:l,filter:u},h={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=dk.runKernel(by,p,h);return c?DS(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var dT=Tk({diag_:function(e){var t={x:Nk(e,"x","diag")};return dk.runKernel(ky,t)}});var mT=Tk({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=Nk(e,"x","dilation2d"),s=Nk(t,"filter","dilation2d");Uv(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Uv(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Uv("NHWC"===i,(function(){return"Error in dilation2d: Only NHWC is currently supported, but got dataFormat of "+i}));var u=o,l=!1;3===o.rank&&(u=DS(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=!0);var c={x:u,filter:s},p={strides:n,pad:r,dilations:a},h=dk.runKernel(Ny,c,p);return l?DS(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});var vT=Tk({equal_:function(e,t){var n=Nk(e,"a","equal","string_or_numeric"),r=Nk(t,"b","equal","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(_y,i)}});var gT=Tk({where_:function(e,t,n){var r=Nk(t,"a","where"),a=Nk(n,"b","where"),i=Nk(e,"condition","where","bool"),o=iI(iI(i.shape,r.shape),a.shape),s={condition:XS(i,o),t:XS(r,o),e:XS(a,o)};return dk.runKernel(Yb,s)}});var yT=Tk({zerosLike_:function(e){var t={x:Nk(e,"x","zerosLike")};return dk.runKernel(Rx,t)}});var bT=Tk({divNoNan_:function(e,t){var n=Nk(e,"a","div"),r=Nk(t,"b","div"),a=rk(n,r);n=a[0],r=a[1];var i=aS(n,r),o=yT(i),s=vT(r,o);return gT(s,o,i)}});var xT=Tk({dot_:function(e,t){var n=Nk(e,"t1","dot"),r=Nk(t,"t2","dot");Uv(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];if(Uv(a===i,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."})),1===n.rank&&1===r.rank){var o=DS(n,[1,-1]),s=DS(r,[-1,1]),u=$N(o,s);return DS(u,[])}if(1===n.rank&&2===r.rank){var l=DS(n,[1,-1]),c=DS(r,[r.shape[0],r.shape[1]]),p=$N(l,c);return DS(p,[p.size])}if(2===n.rank&&1===r.rank){var h=DS(r,[-1,1]),f=$N(n,h);return DS(f,[f.size])}var d=DS(r,[r.shape[0],r.shape[1]]);return $N(n,d)}});var wT=Tk({einsum_:function(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),r=1;r<t;r++)n[r-1]=arguments[r];var a=n.map((function(e,t){return Nk(e,"tensors"+t,"einsum")})),i={equation:e};return dk.runKernel(Ey,a,i)}});var kT=Tk({elu_:function(e){var t={x:Nk(e,"x","elu","float32")};return dk.runKernel(Cy,t)}});var NT=Tk({erf_:function(e){var t=Nk(e,"x","erf");Uv("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=FN(t,"float32"));var n={x:t};return dk.runKernel(Ay,n)}});var IT=Tk({exp_:function(e){var t={x:Nk(e,"x","exp")};return dk.runKernel(Fy,t)}});var ST=Tk({expandDims_:function(e,t){void 0===t&&(t=0);var n=Nk(e,"x","expandDims","string_or_numeric");Uv(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return dk.runKernel(Dy,r,a)}});var TT=Tk({expm1_:function(e){var t={x:Nk(e,"x","expm1")};return dk.runKernel(Oy,t)}});var ET=Tk({tile_:function(e,t){var n=Nk(e,"x","tile","string_or_numeric");Uv(n.rank===t.length,(function(){return"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."}));var r={x:n},a={reps:t};return dk.runKernel(kx,r,a)}});var CT=Tk({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=_N([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=DS(a.toTensor(),[e,t]);if(null==n)return s;if(1===n.length)return ET(ST(s,0),[n[0],1,1]);if(2===n.length)return ET(ST(ST(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return ET(ST(ST(ST(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.")}});function RT(e,t,n){var r={shape:e,value:t,dtype:n};return dk.runKernel(Ly,{},r)}var AT=Tk({floor_:function(e){var t={x:Nk(e,"x","floor","float32")};return dk.runKernel(Py,t)}});var _T=Tk({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:Nk(e,"x","gather"),indices:Nk(t,"indices","gather","int32")},i={axis:n,batchDims:r};return dk.runKernel(Uy,a,i)}});var FT=Tk({greater_:function(e,t){var n=Nk(e,"a","greater","string_or_numeric"),r=Nk(t,"b","greater","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(Gy,i)}});var DT=Tk({greaterEqual_:function(e,t){var n=Nk(e,"a","greaterEqual","string_or_numeric"),r=Nk(t,"b","greaterEqual","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(jy,i)}});var OT=Tk({imag_:function(e){var t={input:Nk(e,"input","imag")};return dk.runKernel(Ky,t)}});var MT=Tk({isFinite_:function(e){var t={x:Nk(e,"x","isFinite")};return dk.runKernel(Xy,t)}});var LT=Tk({isInf_:function(e){var t={x:Nk(e,"x","isInf")};return dk.runKernel(Yy,t)}});var zT=Tk({isNaN_:function(e){var t={x:Nk(e,"x","isNaN")};return dk.runKernel(Jy,t)}});var PT=Tk({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:Nk(e,"x","leakyRelu")},r={alpha:t};return dk.runKernel(Zy,n,r)}});var BT=Tk({less_:function(e,t){var n=Nk(e,"a","less","string_or_numeric"),r=Nk(t,"b","less","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(Qy,i)}});var WT=Tk({lessEqual_:function(e,t){var n=Nk(e,"a","lessEqual","string_or_numeric"),r=Nk(t,"b","lessEqual","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel($y,i)}});function UT(e,t,n){if(n<=0)throw new Error("The number of values should be positive.");var r={start:e,stop:t,num:n};return dk.runKernel(eb,{},r)}var VT=Tk({localResponseNormalization_:function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5);var i=Nk(e,"x","localResponseNormalization");Uv(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+i.rank+"."})),Uv(Kv(t),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+t+"."}));var o=i,s=!1;3===i.rank&&(s=!0,o=DS(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var u={x:o},l={depthRadius:t,bias:n,alpha:r,beta:a},c=dk.runKernel(sb,u,l);return s?DS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var GT=Tk({log_:function(e){var t={x:Nk(e,"x","log","float32")};return dk.runKernel(tb,t)}});var jT=Tk({log1p_:function(e){var t={x:Nk(e,"x","log1p")};return dk.runKernel(nb,t)}});function HT(e,t){Uv(hg(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Uv(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof $w})),(function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"}));var n=null!=t;if(!n)for(var r in t=[],dk.registeredVariables)t.push(dk.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;Uv((t=t.filter((function(e){return e.trainable}))).length>0,(function(){return"variableGrads() expects at least one of the input variables to be trainable, but none of the "+i+" variables is trainable."}));var o=dk.gradients(e,t,null,!0),s=o.value,u=o.grads;Uv(u.some((function(e){return null!=e})),(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()."})),Uv(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+s.rank+" tensor"}));var l={};return t.forEach((function(e,t){null!=u[t]&&(l[e.name]=u[t])})),null!=a&&a.forEach((function(e){return l[e.name]=null})),{value:s,grads:l}}function qT(e){return dk.customGrad(e)}function KT(e){if(e.filter((function(e){return null==e})).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 XT=Tk({neg_:function(e){var t={x:Nk(e,"x","neg")};return dk.runKernel(Nb,t)}});var YT=Tk({softplus_:function(e){var t={x:Nk(e,"x","softplus")};return dk.runKernel(nx,t)}});var JT=Tk({logSigmoid_:function(e){var t=Nk(e,"x","logSigmoid");return qT((function(e){return{value:XT(YT(XT(e))),gradFunc:function(t){return iS(t,zS(XT(e)))}}}))(t)}});var ZT=Tk({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Nk(e,"x","max")},a={reductionIndices:t,keepDims:n};return dk.runKernel(lb,r,a)}});var QT=Tk({sub_:function(e,t){var n=Nk(e,"a","sub"),r=Nk(t,"b","sub"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(bx,i)}});var $T=Tk({sum_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Nk(e,"x","sum");"bool"===r.dtype&&(r=FN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return dk.runKernel(ax,a,i)}});var eE=Tk({logSoftmax_:function(e,t){void 0===t&&(t=-1);var n=Nk(e,"logits","logSoftmax");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Log Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and axis was "+t);return qT((function(e,n){var r=ZT(e,t,!0),a=QT(e,r),i=QT(FN(a,"float32"),GT($T(IT(a),t,!0)));n([i]);return{value:i,gradFunc:function(e,n){var r=n[0],a=IT(r);return QT(e,iS($T(e,t,!0),a))}}}))(n)}});function tE(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function nE(e,t,n){for(var r=e.length+t.length,a=[],i=0,o=0,s=0;s<r;s++)-1===n.indexOf(s)?a.push(e[i++]):a.push(t[o++]);return a}function rE(e,t){for(var n=[],r=e.length,a=0;a<r;a++)-1===t.indexOf(a)&&n.push(e[a]);return[n,t.map((function(t){return e[t]}))]}function aE(e,t){return nE(e,t.map((function(e){return 1})),t)}function iE(e,t,n){Uv(tE(t,n),(function(){return e+" supports only inner-most axes for now. Got axes "+t+" and rank-"+n+" input."}))}function oE(e,t){if(tE(e,t))return null;for(var n=[],r=0;r<t;++r)-1===e.indexOf(r)&&n.push(r);return e.forEach((function(e){return n.push(e)})),n}function sE(e){return e.map((function(e,t){return[t,e]})).sort((function(e,t){return e[1]-t[1]})).map((function(e){return e[0]}))}function uE(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}var lE=Tk({logSumExp_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Nk(e,"x","logSumExp"),a=Qv(t,r.shape),i=ZT(r,a,!0),o=QT(r,i),s=IT(o),u=$T(s,a),l=GT(u),c=nS(DS(i,l.shape),l);if(n){var p=aE(c.shape,a);return DS(c,p)}return c}});var cE=Tk({logicalAnd_:function(e,t){var n=Nk(e,"a","logicalAnd","bool"),r=Nk(t,"b","logicalAnd","bool");iI(n.shape,r.shape);var a={a:n,b:r};return dk.runKernel(rb,a)}});var pE=Tk({logicalNot_:function(e){var t={x:Nk(e,"x","logicalNot","bool")};return dk.runKernel(ab,t)}});var hE=Tk({logicalOr_:function(e,t){var n=Nk(e,"a","logicalOr","bool"),r=Nk(t,"b","logicalOr","bool");iI(n.shape,r.shape);var a={a:n,b:r};return dk.runKernel(ib,a)}});var fE=Tk({logicalXor_:function(e,t){var n=Nk(e,"a","logicalXor","bool"),r=Nk(t,"b","logicalXor","bool");return iI(n.shape,r.shape),cE(hE(e,t),pE(cE(e,t)))}});var dE=Tk({maxPool_:function(e,t,n,r,a){var i=Nk(e,"x","maxPool"),o=i,s=!1;3===i.rank&&(s=!0,o=DS(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Uv(4===o.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.rank+"."})),Uv(AS(n,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"})),FS("maxPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=dk.runKernel(pb,u,l);return s?DS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var mE=Tk({maxPool3d_:function(e,t,n,r,a,i){void 0===t&&(t=[1,1,1]),void 0===i&&(i="NDHWC");var o=Nk(e,"x","maxPool3d"),s=o,u=!1;4===o.rank&&(u=!0,s=DS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Uv(5===s.rank,(function(){return"Error in maxPool3d: x must be rank 5 but got rank "+s.rank+"."})),Uv("NDHWC"===i,(function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),FS("maxPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=dk.runKernel(fb,l,c);return u?DS(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var vE=Tk({maxPoolWithArgmax_:function(e,t,n,r,a){void 0===a&&(a=!1);var i={x:Nk(e,"x","maxPoolWithArgmax")},o={filterSize:t,strides:n,pad:r,includeBatchInIndex:a},s=dk.runKernel(mb,i,o);return{result:s[0],indexes:s[1]}}});var gE=Tk({maximum_:function(e,t){var n=Nk(e,"a","maximum"),r=Nk(t,"b","maximum"),a=rk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=FN(n,"int32"),r=FN(r,"int32")),iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(cb,i)}});var yE=Tk({mean_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Nk(e,"x","mean")},a={axis:t,keepDims:n};return dk.runKernel(vb,r,a)}});function bE(e,t){if(void 0===t&&(t="float32"),"complex64"===t){var n=bE(e,"float32"),r=bE(e,"float32");return Ek(n,r)}var a=yg(Hv(e),t);return dk.makeTensor(a,e,t)}function xE(e,t){if(void 0===t&&(t="float32"),"complex64"===t){var n=xE(e,"float32"),r=bE(e,"float32");return Ek(n,r)}var a=gg(Hv(e),t);return dk.makeTensor(a,e,t)}function wE(e,t,n){var r=(void 0===n?{}:n).indexing,a=void 0===r?"xy":r;if("xy"!==a&&"ij"!==a)throw new TypeError(a+" is not a valid third argument to meshgrid");if(void 0===e)return[];var i=Nk(e,"x","meshgrid",e instanceof qw?e.dtype:"float32");if(void 0===t)return[i];var o=Nk(t,"y","meshgrid",t instanceof qw?t.dtype:"float32"),s=Hv(i.shape),u=Hv(o.shape);return"xy"===a?(i=DS(i,[1,-1]),o=DS(o,[-1,1]),[$N(xE([u,1],i.dtype),i),$N(o,xE([1,s],o.dtype))]):(i=DS(i,[-1,1]),o=DS(o,[1,-1]),[$N(i,xE([1,u],i.dtype)),$N(xE([s,1],o.dtype),o)])}var kE=Tk({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Nk(e,"x","min")},a={axis:t,keepDims:n};return dk.runKernel(gb,r,a)}});var NE=Tk({minimum_:function(e,t){var n=Nk(e,"a","minimum"),r=Nk(t,"b","minimum"),a=rk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=FN(n,"int32"),r=FN(r,"int32")),iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(yb,i)}});var IE=Tk({mirrorPad_:function(e,t,n){Uv("reflect"===n||"symmetric"===n,(function(){return"Invalid mode. Mode must be either reflect or symmetric. Got "+n+"."}));var r=Nk(e,"x","mirrorPad");if(0===r.rank)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");Uv(t.length===r.rank,(function(){return"Padding doesn't match input. Must be "+r.rank+". Got "+t.length+"."}));for(var a="reflect"===n?1:0,i=function(e){Uv(2===t[e].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),Uv(t[e][0]>=0&&t[e][0]<=r.shape[e]-a&&t[e][1]>=0&&t[e][1]<=r.shape[e]-a,(function(){return"Padding in dimension "+e+" cannot be greater than or equal to "+(r.shape[e]-a)+" or less than 0 for input of shape "+r.shape}))},o=0;o<r.rank;o++)i(o);var s={paddings:t,mode:n},u={x:r};return dk.runKernel(bb,u,s)}});var SE=Tk({mod_:function(e,t){var n=Nk(e,"a","mod"),r=Nk(t,"b","mod"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(xb,i)}});var TE=Tk({square_:function(e){var t=Nk(e,"x","square");return dk.runKernel("Square",{x:t},{})}});var EE=Tk({moments_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Qv(t,(e=Nk(e,"x","moments")).shape),a=yE(e,r,n),i=a.shape;n||(i=aE(a.shape,r));var o=TE(QT(FN(e,"float32"),DS(a,i)));return{mean:a,variance:yE(o,r,n)}}});var CE=Tk({multiRNNCell_:function(e,t,n,r){for(var a=Nk(t,"data","multiRNNCell"),i=Ik(n,"c","multiRNNCell"),o=Ik(r,"h","multiRNNCell"),s=a,u=[],l=0;l<e.length;l++){var c=e[l](s,i[l],o[l]);u.push(c[0]),u.push(c[1]),s=c[1]}for(var p=[],h=[],f=0;f<u.length;f+=2)p.push(u[f]),h.push(u[f+1]);return[p,h]}});var RE=Tk({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=Nk(e,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s={logits:1===o?DS(a,[1,-1]):a},u={numSamples:t,seed:n,normalized:r},l=dk.runKernel(wb,s,u);return 1===o?DS(l,[l.size]):l}});var AE=Tk({notEqual_:function(e,t){var n=Nk(e,"a","notEqual","string_or_numeric"),r=Nk(t,"b","notEqual","string_or_numeric"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(Ib,i)}});var _E=Tk({onesLike_:function(e){var t={x:Nk(e,"x","onesLike")};return dk.runKernel(Cb,t)}});var FE=Tk({outerProduct_:function(e,t){var n=Nk(e,"v1","outerProduct"),r=Nk(t,"v2","outerProduct");Uv(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}));var a=DS(n,[-1,1]),i=DS(r,[1,-1]);return $N(a,i)}});var DE=Tk({pad_:function(e,t,n){void 0===n&&(n=0);var r=Nk(e,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var a={paddings:t,constantValue:n},i={x:r};return dk.runKernel(_b,i,a)}});var OE=Tk({pad1d_:function(e,t,n){return void 0===n&&(n=0),Uv(2===t.length,(function(){return"Invalid number of paddings. Must be length of 2."})),DE(e,[t],n)}});var ME=Tk({pad2d_:function(e,t,n){return void 0===n&&(n=0),Uv(2===t.length&&2===t[0].length&&2===t[1].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),DE(e,t,n)}});var LE=Tk({pad3d_:function(e,t,n){return void 0===n&&(n=0),Uv(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),DE(e,t,n)}});var zE=Tk({pad4d_:function(e,t,n){return void 0===n&&(n=0),Uv(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),DE(e,t,n)}});var PE=Tk({spaceToBatchND_:function(e,t,n){var r=Nk(e,"x","spaceToBatchND");Uv(r.rank>=1+t.length,(function(){return"input rank "+r.rank+" should be > than [blockShape] "+t.length})),Uv(n.length===t.length,(function(){return"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+t.length})),Uv(r.shape.reduce((function(e,r,a){return a>0&&a<=t.length?e&&(r+n[a-1][0]+n[a-1][1])%t[a-1]==0:e}),!0),(function(){return"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+t.toString()}));var a={x:r},i={blockShape:t,paddings:n};return dk.runKernel(ix,a,i)}});var BE=Tk({pool_:function(e,t,n,r,a,i,o){null==a&&(a=[1,1]),null==i&&(i=1),0===r&&(r="valid");var s=Nk(e,"x","maxPool"),u=s,l=!1;3===s.rank&&(l=!0,u=DS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Uv(AS(i,a),(function(){return"Error in pool: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'"}));var c,p=xS(u.shape,t,i,a,r),h=[p.dilationHeight,p.dilationWidth];c="same"===r?function(e,t){var n=e.map((function(e,n){return e+(e-1)*(t[n]-1)})).map((function(e){return e-1})),r=n.map((function(e){return Math.floor(e/2)})),a=n.map((function(e,t){return e-r[t]}));return n.map((function(e,t){return[r[t],a[t]]}))}([p.filterHeight,p.filterWidth],h):[[0,0],[0,0]];var f=1===h[0]&&1===h[1],d=function(e,t,n){var r=n.map((function(e){return e[0]})),a=n.map((function(e){return e[1]})),i=e.concat(r,a),o=t.map((function(e,t){return(e-i[t]%e)%e})),s=a.map((function(e,t){return e+o[t]})),u=t.map((function(e,t){return[r[t],s[t]]})),l=t.map((function(e,t){return[0,o[t]]}));return[u,l]}([p.inHeight,p.inWidth],h,c),m=d[0],v=d[1],g=f?r:"valid",y=f?u:PE(u,h,m),b=("avg"===n?function(){return OS(y,t,i,g,o)}:function(){return dE(y,t,i,g,o)})(),x=f?b:US(b,h,v);return l?DS(x,[x.shape[1],x.shape[2],x.shape[3]]):x}});var WE=Tk({pow_:function(e,t){var n=Nk(e,"base","pow"),r=Nk(t,"exp","pow"),a=rk(n,r),i={a:n=a[0],b:r=a[1]};return dk.runKernel(Fb,i)}});var UE=Tk({prelu_:function(e,t){var n={x:Nk(e,"x","prelu"),alpha:Nk(t,"alpha","prelu")};return dk.runKernel(Db,n)}});var VE=Tk({prod_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Nk(e,"x","prod");"bool"===r.dtype&&(r=FN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return dk.runKernel(Ob,a,i)}});var GE=Tk({rand_:function(e,t,n){var r=Hv(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return dk.makeTensor(a,e,n)}}),jE=n((function(e){!function(e,t,n){function r(e){var t,n=this,r=(t=4022871197,function(e){e=e.toString();for(var n=0;n<e.length;n++){var r=.02519603282416938*(t+=e.charCodeAt(n));r-=t=r>>>0,t=(r*=t)>>>0,t+=4294967296*(r-=t)}return 2.3283064365386963e-10*(t>>>0)});n.next=function(){var e=2091639*n.s0+2.3283064365386963e-10*n.c;return n.s0=n.s1,n.s1=n.s2,n.s2=e-(n.c=0|e)},n.c=1,n.s0=r(" "),n.s1=r(" "),n.s2=r(" "),n.s0-=r(e),n.s0<0&&(n.s0+=1),n.s1-=r(e),n.s1<0&&(n.s1+=1),n.s2-=r(e),n.s2<0&&(n.s2+=1),r=null}function a(e,t){return t.c=e.c,t.s0=e.s0,t.s1=e.s1,t.s2=e.s2,t}function i(e,t){var n=new r(e),i=t&&t.state,o=n.next;return o.int32=function(){return 4294967296*n.next()|0},o.double=function(){return o()+11102230246251565e-32*(2097152*o()|0)},o.quick=o,i&&("object"==typeof i&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.alea=i}(0,e,!1)})),HE=n((function(e){!function(e,t,n){function r(e){var t=this,n="";t.x=0,t.y=0,t.z=0,t.w=0,t.next=function(){var e=t.x^t.x<<11;return t.x=t.y,t.y=t.z,t.z=t.w,t.w^=t.w>>>19^e^e>>>8},e===(0|e)?t.x=e:n+=e;for(var r=0;r<n.length+64;r++)t.x^=0|n.charCodeAt(r),t.next()}function a(e,t){return t.x=e.x,t.y=e.y,t.z=e.z,t.w=e.w,t}function i(e,t){var n=new r(e),i=t&&t.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var e=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===e);return e},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.xor128=i}(0,e,!1)})),qE=n((function(e){!function(e,t,n){function r(e){var t=this,n="";t.next=function(){var e=t.x^t.x>>>2;return t.x=t.y,t.y=t.z,t.z=t.w,t.w=t.v,(t.d=t.d+362437|0)+(t.v=t.v^t.v<<4^e^e<<1)|0},t.x=0,t.y=0,t.z=0,t.w=0,t.v=0,e===(0|e)?t.x=e:n+=e;for(var r=0;r<n.length+64;r++)t.x^=0|n.charCodeAt(r),r==n.length&&(t.d=t.x<<10^t.x>>>4),t.next()}function a(e,t){return t.x=e.x,t.y=e.y,t.z=e.z,t.w=e.w,t.v=e.v,t.d=e.d,t}function i(e,t){var n=new r(e),i=t&&t.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var e=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===e);return e},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.xorwow=i}(0,e,!1)})),KE=n((function(e){!function(e,t,n){function r(e){var t=this;t.next=function(){var e,n,r=t.x,a=t.i;return e=r[a],n=(e^=e>>>7)^e<<24,n^=(e=r[a+1&7])^e>>>10,n^=(e=r[a+3&7])^e>>>3,n^=(e=r[a+4&7])^e<<7,e=r[a+7&7],n^=(e^=e<<13)^e<<9,r[a]=n,t.i=a+1&7,n},function(e,t){var n,r=[];if(t===(0|t))r[0]=t;else for(t=""+t,n=0;n<t.length;++n)r[7&n]=r[7&n]<<15^t.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],e.x=r,e.i=0,n=256;n>0;--n)e.next()}(t,e)}function a(e,t){return t.x=e.x.slice(),t.i=e.i,t}function i(e,t){null==e&&(e=+new Date);var n=new r(e),i=t&&t.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var e=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===e);return e},o.int32=n.next,o.quick=o,i&&(i.x&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.xorshift7=i}(0,e,!1)})),XE=n((function(e){!function(e,t,n){function r(e){var t=this;t.next=function(){var e,n,r=t.w,a=t.X,i=t.i;return t.w=r=r+1640531527|0,n=a[i+34&127],e=a[i=i+1&127],n^=n<<13,e^=e<<17,n^=n>>>15,e^=e>>>12,n=a[i]=n^e,t.i=i,n+(r^r>>>16)|0},function(e,t){var n,r,a,i,o,s=[],u=128;for(t===(0|t)?(r=t,t=null):(t+="\0",r=0,u=Math.max(u,t.length)),a=0,i=-32;i<u;++i)t&&(r^=t.charCodeAt((i+32)%t.length)),0===i&&(o=r),r^=r<<10,r^=r>>>15,r^=r<<4,r^=r>>>13,i>=0&&(o=o+1640531527|0,a=0==(n=s[127&i]^=r+o)?a+1:0);for(a>=128&&(s[127&(t&&t.length||0)]=-1),a=127,i=512;i>0;--i)r=s[a+34&127],n=s[a=a+1&127],r^=r<<13,n^=n<<17,r^=r>>>15,n^=n>>>12,s[a]=r^n;e.w=o,e.X=s,e.i=a}(t,e)}function a(e,t){return t.i=e.i,t.w=e.w,t.X=e.X.slice(),t}function i(e,t){null==e&&(e=+new Date);var n=new r(e),i=t&&t.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var e=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===e);return e},o.int32=n.next,o.quick=o,i&&(i.X&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.xor4096=i}(0,e,!1)})),YE=n((function(e){!function(e,t,n){function r(e){var t=this,n="";t.next=function(){var e=t.b,n=t.c,r=t.d,a=t.a;return e=e<<25^e>>>7^n,n=n-r|0,r=r<<24^r>>>8^a,a=a-e|0,t.b=e=e<<20^e>>>12^n,t.c=n=n-r|0,t.d=r<<16^n>>>16^a,t.a=a-e|0},t.a=0,t.b=0,t.c=-1640531527,t.d=1367130551,e===Math.floor(e)?(t.a=e/4294967296|0,t.b=0|e):n+=e;for(var r=0;r<n.length+20;r++)t.b^=0|n.charCodeAt(r),t.next()}function a(e,t){return t.a=e.a,t.b=e.b,t.c=e.c,t.d=e.d,t}function i(e,t){var n=new r(e),i=t&&t.state,o=function(){return(n.next()>>>0)/4294967296};return o.double=function(){do{var e=((n.next()>>>11)+(n.next()>>>0)/4294967296)/(1<<21)}while(0===e);return e},o.int32=n.next,o.quick=o,i&&("object"==typeof i&&a(i,n),o.state=function(){return a(n,{})}),o}t&&t.exports?t.exports=i:n&&n.amd?n((function(){return i})):this.tychei=i}(0,e,!1)})),JE=n((function(e){!function(t,n){var r,a=this,i=256,o=n.pow(i,6),s=n.pow(2,52),u=2*s,l=255;function c(e,l,c){var v=[],g=d(f((l=1==l?{entropy:!0}:l||{}).entropy?[e,m(t)]:null==e?function(){try{var e;return r&&(e=r.randomBytes)?e=e(i):(e=new Uint8Array(i),(a.crypto||a.msCrypto).getRandomValues(e)),m(e)}catch(e){var n=a.navigator,o=n&&n.plugins;return[+new Date,a,o,a.screen,m(t)]}}():e,3),v),y=new p(v),b=function(){for(var e=y.g(6),t=o,n=0;e<s;)e=(e+n)*i,t*=i,n=y.g(1);for(;e>=u;)e/=2,t/=2,n>>>=1;return(e+n)/t};return b.int32=function(){return 0|y.g(4)},b.quick=function(){return y.g(4)/4294967296},b.double=b,d(m(y.S),t),(l.pass||c||function(e,t,r,a){return a&&(a.S&&h(a,y),e.state=function(){return h(y,{})}),r?(n.random=e,t):e})(b,g,"global"in l?l.global:this==n,l.state)}function p(e){var t,n=e.length,r=this,a=0,o=r.i=r.j=0,s=r.S=[];for(n||(e=[n++]);a<i;)s[a]=a++;for(a=0;a<i;a++)s[a]=s[o=l&o+e[a%n]+(t=s[a])],s[o]=t;(r.g=function(e){for(var t,n=0,a=r.i,o=r.j,s=r.S;e--;)t=s[a=l&a+1],n=n*i+s[l&(s[a]=s[o=l&o+t])+(s[o]=t)];return r.i=a,r.j=o,n})(i)}function h(e,t){return t.i=e.i,t.j=e.j,t.S=e.S.slice(),t}function f(e,t){var n,r=[],a=typeof e;if(t&&"object"==a)for(n in e)try{r.push(f(e[n],t-1))}catch(e){}return r.length?r:"string"==a?e:e+"\0"}function d(e,t){for(var n,r=e+"",a=0;a<r.length;)t[l&a]=l&(n^=19*t[l&a])+r.charCodeAt(a++);return m(t)}function m(e){return String.fromCharCode.apply(0,e)}if(n.seedrandom=c,d(n.random(),t),e.exports){e.exports=c;try{r=require("crypto")}catch(e){}}else 0}([],Math)}));JE.alea=jE,JE.xor128=HE,JE.xorwow=qE,JE.xorshift7=KE,JE.xor4096=XE,JE.tychei=YE;var ZE=JE.alea,QE=function(){function e(e,t,n,r,a){this.mean=e,this.stdDev=t,this.dtype=n,this.nextVal=NaN,this.truncated=r,this.truncated&&(this.upper=this.mean+2*this.stdDev,this.lower=this.mean-2*this.stdDev);var i=a||Math.random();this.random=ZE(i.toString())}var t=e.prototype;return t.nextValue=function(){if(!isNaN(this.nextVal)){var e=this.nextVal;return this.nextVal=NaN,e}for(var t,n,r=!1;!r;){var a=void 0,i=void 0,o=void 0;do{o=(a=2*this.random()-1)*a+(i=2*this.random()-1)*i}while(o>=1||0===o);var s=Math.sqrt(-2*Math.log(o)/o);t=this.mean+this.stdDev*a*s,n=this.mean+this.stdDev*i*s,this.truncated&&!this.isValidTruncated(t)||(r=!0)}return this.truncated&&!this.isValidTruncated(n)||(this.nextVal=this.convertValue(n)),this.convertValue(t)},t.convertValue=function(e){return null==this.dtype||"float32"===this.dtype?e:Math.round(e)},t.isValidTruncated=function(e){return e<=this.upper&&e>=this.lower},e}(),$E=function(){function e(e,t,n,r){this.alpha=e,this.beta=1/t,this.dtype=n;var a=r||Math.random();this.randu=ZE(a.toString()),this.randn=new QE(0,1,n,!1,this.randu()),this.d=e<1?e+2/3:e-1/3,this.c=1/Math.sqrt(9*this.d)}var t=e.prototype;return t.nextValue=function(){for(var e,t,n,r,a,i;;){do{r=this.randn.nextValue(),i=1+this.c*r}while(i<=0);if(i*=i*i,t=1-.331*(e=r*r)*e,n=.5*e+this.d*(1-i+Math.log(i)),(a=this.randu())<t||Math.log(a)<n)break}return i=1/this.beta*this.d*i,this.alpha<1&&(i*=Math.pow(this.randu(),1/this.alpha)),this.convertValue(i)},t.convertValue=function(e){return"float32"===this.dtype?e:Math.round(e)},e}(),eC=function(){function e(e,t,n,r){var a=this;if(void 0===e&&(e=0),void 0===t&&(t=1),this.canReturnFloat=function(){return null==a.dtype||"float32"===a.dtype},this.min=e,this.range=t-e,this.dtype=n,null==r&&(r=Math.random()),"number"==typeof r&&(r=r.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error("The difference between "+e+" - "+t+" <= 1 and dtype is not float");this.random=ZE(r)}var t=e.prototype;return t.convertValue=function(e){return this.canReturnFloat()?e:Math.round(e)},t.nextValue=function(){return this.convertValue(this.min+this.range*this.random())},e}();var tC=Tk({randomGamma_:function(e,t,n,r,a){if(void 0===n&&(n=1),void 0===r&&(r="float32"),null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type "+r);for(var i=new $E(t,n,r,a),o=_N(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var nC=Tk({randomNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new QE(t,n,r,!1,a),o=_N(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var rC=Tk({randomUniform_:function(e,t,n,r,a){void 0===t&&(t=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var i=_N(e,r),o=new eC(t,n,null,a),s=0;s<i.values.length;s++)i.values[s]=o.nextValue();return i.toTensor()}});function aC(e,t,n,r){if(void 0===n&&(n=1),void 0===r&&(r="float32"),0===n)throw new Error("Cannot have a step of zero");var a={start:e,stop:t,step:n,dtype:r};return dk.runKernel(Mb,{},a)}var iC=Tk({real_:function(e){var t={input:Nk(e,"input","real")};return dk.runKernel(Lb,t)}});var oC=Tk({reciprocal_:function(e){var t={x:Nk(e,"x","reciprocal")};return dk.runKernel(zb,t)}});var sC=Tk({relu_:function(e){var t={x:Nk(e,"x","relu")};return dk.runKernel(Pb,t)}});var uC=Tk({relu6_:function(e){var t={x:Nk(e,"x","relu6")};return dk.runKernel(jb,t)}});var lC=Tk({reverse_:function(e,t){var n={x:Nk(e,"x","reverse")},r={dims:t};return dk.runKernel(Hb,n,r)}});var cC=Tk({reverse1d_:function(e){var t=Nk(e,"x","reverse");return Uv(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+t.rank+"."})),lC(t,0)}});var pC=Tk({reverse2d_:function(e,t){var n=Nk(e,"x","reverse");return Uv(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),lC(n,t)}});var hC=Tk({reverse3d_:function(e,t){var n=Nk(e,"x","reverse");return Uv(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),lC(n,t)}});var fC=Tk({reverse4d_:function(e,t){var n=Nk(e,"x","reverse");return Uv(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),lC(n,t)}});var dC=Tk({round_:function(e){var t={x:Nk(e,"x","round")};return dk.runKernel(qb,t)}});var mC=Tk({rsqrt_:function(e){var t={x:Nk(e,"x","rsqrt","float32")};return dk.runKernel(Kb,t)}});function vC(e,t){if((ig(e)&&"string"!==t||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===t&&ig(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Ck(e,[],[],t)}var gC=Tk({selu_:function(e){var t={x:Nk(e,"x","selu")};return dk.runKernel(Jb,t)}});var yC=Tk({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=Nk(e,"x","separableConv2d"),u=Nk(t,"depthwiseFilter","separableConv2d"),l=Nk(n,"pointwiseFilter","separableConv2d"),c=s,p=!1;if(3===s.rank&&(p=!0,c=DS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");Uv(4===c.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."})),Uv(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),Uv(4===l.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),Uv(1===l.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."})),Uv(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];Uv(l.shape[2]===h*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*f+", but got "+l.shape[2]+"."}));var d=fT(c,u,r,a,o,i),m=tT(d,l,1,"valid",o);return p?DS(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function bC(){return(bC=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h,f;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=Nk(t,"x","setdiff1d"),a=Nk(n,"y","setdiff1d"),Uv(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x ("+r.dtype+") and y ("+a.dtype+")."})),Uv(1===r.rank,(function(){return"x should be 1D tensor, but got x ("+r.shape+")."})),Uv(1===a.rank,(function(){return"y should be 1D tensor, but got y ("+a.shape+")."})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(o=e.sent,s=new Set(o),u=0,l=0;l<i.length;l++)s.has(i[l])||u++;for(c=new Gw([u],r.dtype),p=new Gw([u],"int32"),h=0,f=0;h<i.length;h++)s.has(i[h])||(c.values[f]=i[h],p.values[f]=h,f++);return e.abrupt("return",[c.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var xC=function(e,t){return bC.apply(this,arguments)};var wC=Tk({sign_:function(e){var t={x:Nk(e,"x","sign")};return dk.runKernel(ex,t)}});var kC=Tk({sin_:function(e){var t={x:Nk(e,"x","sin","float32")};return dk.runKernel(Qb,t)}});var NC=Tk({sinh_:function(e){var t={x:Nk(e,"x","sinh")};return dk.runKernel($b,t)}});var IC=Tk({slice1d_:function(e,t,n){var r=Nk(e,"x","slice1d");return Uv(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"})),PS(r,[t],[n])}});var SC=Tk({slice2d_:function(e,t,n){var r=Nk(e,"x","slice2d");return Uv(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"})),PS(r,t,n)}});var TC=Tk({slice3d_:function(e,t,n){var r=Nk(e,"x","slice3d");return Uv(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"})),PS(r,t,n)}});var EC=Tk({slice4d_:function(e,t,n){var r=Nk(e,"x","slice4d");return Uv(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"})),PS(r,t,n)}});var CC=Tk({softmax_:function(e,t){void 0===t&&(t=-1);var n=Nk(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and dim was "+t);var r={logits:n},a={dim:t};return dk.runKernel(sx,r,a)}});var RC=Tk({fft_:function(e){Uv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return dk.runKernel(My,t)}});var AC=Tk({ifft_:function(e){Uv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return dk.runKernel(qy,t)}});var _C=Tk({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=DS(e,[r,n]);t=AC(a)}else{var i=[r,2*(n-1)],o=DS(iC(e),[r,n]),s=DS(OT(e),[r,n]),u=lC(PS(o,[0,1],[r,n-2]),1),l=iS(lC(PS(s,[0,1],[r,n-2]),1),vC(-1)),c=LS([o,u],1),p=LS([s,l],1),h=DS(Ek(c,p),[i[0],i[1]]);t=AC(h)}if(t=iC(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=DS(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var FC=Tk({split_:function(e,t,n){void 0===n&&(n=0);var r={x:Nk(e,"x","split")},a={numOrSizeSplits:t,axis:n};return dk.runKernel(ox,r,a)}});var DC=Tk({rfft_:function(e,t){Uv("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got "+e.dtype}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=PS(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=LS([e,bE(s)],e.shape.length-1),r=t}else n=e;var u=yT(n),l=DS(Ek(n,u),[a,r]),c=RC(l),p=Math.floor(r/2)+1,h=iC(c),f=OT(c),d=FC(h,[p,r-p],h.shape.length-1),m=FC(f,[p,r-p],f.shape.length-1),v=n.shape.slice();return v[n.shape.length-1]=p,DS(Ek(d[0],m[0]),v)}});var OC=Tk({sqrt_:function(e){var t={x:Nk(e,"x","sqrt","float32")};return dk.runKernel(rx,t)}});var MC=Tk({squaredDifference_:function(e,t){var n=Nk(e,"a","squaredDifference"),r=Nk(t,"b","squaredDifference"),a=rk(n,r);n=a[0],r=a[1],iI(n.shape,r.shape);var i={a:n,b:r};return dk.runKernel(fx,i,{})}});var LC=Tk({squeeze_:function(e,t){var n=Nk(e,"x","squeeze");return DS(n,$v(n.shape,t).newShape)}});var zC=Tk({stack_:function(e,t){void 0===t&&(t=0);var n=Ik(e,"tensors","stack","string_or_numeric");Uv(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&Uv(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return dk.runKernel(Ab,r,a)}});var PC=Tk({step_:function(e,t){void 0===t&&(t=0);var n={x:Nk(e,"x","step")},r={alpha:t};return dk.runKernel(Ax,n,r)}});var BC=Tk({stridedSlice_:function(e,t,n,r,a,i,o,s,u){void 0===a&&(a=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===s&&(s=0),void 0===u&&(u=0);var l={x:Nk(e,"x","stridedSlice","string_or_numeric")},c={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return dk.runKernel(mx,l,c)}});var WC=Tk({tan_:function(e){var t={x:Nk(e,"x","tan","float32")};return dk.runKernel(xx,t)}});function UC(e,t){Gv(e);var n=xk(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return Ck(e,null,n,t)}function VC(e,t,n){if(Gv(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=xk(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return Ck(e,t,r,n)}function GC(e,t,n){if(Gv(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=xk(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return Ck(e,t,r,n)}function jC(e,t,n){if(Gv(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=xk(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return Ck(e,t,r,n)}function HC(e,t,n){if(Gv(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=xk(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return Ck(e,t=t||r,r,n)}var qC=Tk({topk_:function(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=Nk(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got "+t);if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension ("+a+") but got "+t);var i={x:r},o={k:t,sorted:n},s=dk.runKernel(Nx,i,o);return{values:s[0],indices:s[1]}}});var KC=Tk({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new QE(t,n,r,!0,a),o=_N(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var XC=Tk({unique_:function(e,t){void 0===t&&(t=0);var n=Nk(e,"x","unique","string_or_numeric");Uv(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=dk.runKernel(Tx,r,a);return{values:i[0],indices:i[1]}}});var YC=Tk({unsortedSegmentSum_:function(e,t,n){var r=Nk(e,"x","unsortedSegmentSum"),a=Nk(t,"segmentIds","unsortedSegmentSum","int32");Uv(Kv(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return dk.runKernel(Cx,i,o)}});var JC=Tk({unstack_:function(e,t){void 0===t&&(t=0);var n=Nk(e,"x","unstack","string_or_numeric");Uv(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = "+t+" is not in [-"+n.shape.length+", "+n.shape.length+")"}));var r={value:n},a={axis:t};return dk.runKernel(Ex,r,a)}});function ZC(e,t,n,r){return void 0===t&&(t=!0),dk.makeVariable(e,t,n,r)}function QC(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=_N(e,"int32"),i=_N([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function $C(){return($C=xv(regeneratorRuntime.mark((function e(t){var n,r,a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Nk(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=QC(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var eR=function(e){return $C.apply(this,arguments)};function tR(){return(tR=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=Nk(t,"tensor","boolMask"),i=Nk(n,"mask","boolMask","bool"),o=null==r?0:r,s=i.rank,u=a.shape,Uv(s>0,(function(){return"mask cannot be scalar"})),Vv(u.slice(o,o+s),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,c=o;c<o+s;c++)l*=u[c];return p=u.slice(0,o).concat([l],u.slice(o+s)),h=DS(a,p),f=DS(i,[-1]),e.next=14,eR(f);case 14:return d=e.sent,m=LC(d,[1]),v=_T(h,m,o),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),h.dispose(),f.dispose(),d.dispose(),e.abrupt("return",v);case 24:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var nR=function(e,t,n){return tR.apply(this,arguments)};function rR(e,t,n){if(void 0===n&&(n=null),0===e.rank)return oS(e);if(1!==e.rank&&null===n)return rR(DS(e,[-1]),t,n);if(1===e.rank||"number"==typeof n||Array.isArray(n)&&1===n.length){if(1===t)return $T(oS(e),n);if(t===1/0)return ZT(oS(e),n);if(t===-1/0)return kE(oS(e),n);if("euclidean"===t||2===t)return OC($T(WE(oS(e),vC(2,"int32")),n));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(n)&&2===n.length){if(1===t)return ZT($T(oS(e),n[0]),n[1]-1);if(t===1/0)return ZT($T(oS(e),n[1]),n[0]);if(t===-1/0)return kE($T(oS(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return OC($T(TE(e),n));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+n)}var aR=Tk({norm_:function(e,t,n,r){void 0===t&&(t="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=rR(e=Nk(e,"x","norm"),t,n),i=a.shape;if(r){var o=Qv(n,e.shape);i=aE(a.shape,o)}return DS(a,i)}});var iR=Tk({movingAverage_:function(e,t,n,r,a){void 0===a&&(a=!0);var i=Nk(e,"v","movingAverage"),o=Nk(t,"x","movingAverage"),s=Nk(n,"decay","movingAverage");ak(i,o),Uv(qv(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=vC(1),l=QT(u,s),c=iS(QT(o,i),l);if(a){Uv(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var p=Nk(r,"step","movingAverage");c=aS(c,QT(u,WE(s,p)))}return nS(i,c)}});var oR=Tk({scatterND_:function(e,t,n){var r=Nk(e,"indices","scatterND","int32"),a=Nk(t,"updates","scatterND");yI(a,r,n);var i={indices:r,updates:a},o={shape:n};return dk.runKernel(Xb,i,o)}});var sR=Tk({sparseToDense_:function(e,t,n,r){void 0===r&&(r=0);var a=Nk(e,"sparseIndices","sparseToDense","int32"),i=Nk(t,"sparseValues","sparseToDense"),o=Nk(r,"defaultValue","sparseToDense",i.dtype);!function(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+e.dtype+".");if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+e.shape+".");var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+i+".");var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+t.shape+", should be [] or ["+a+"]");if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return dk.runKernel(hx,s,u)}});var uR=Tk({gatherND_:function(e,t){var n=Nk(t,"indices","gatherND","int32"),r={params:Nk(e,"x","gatherND","string_or_numeric"),indices:n};return dk.runKernel(Vy,r)}});var lR=Tk({dropout_:function(e,t,n,r){var a=Nk(e,"x","dropout");if(Uv("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+a.dtype+" tensor instead."})),Uv(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got "+t+"."})),0===t)return e instanceof qw?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(qv(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=aS(AT(nS(rC(i,0,1,"float32",r),o)),o);return iS(a,s)}});function cR(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function pR(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return UC(a,"float32")}function hR(){return(hR=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r=1),a=Nk(t,"predictions","inTopK"),i=Nk(n,"targets","inTopK"),Uv(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, but got "+a.rank})),Uv(a.rank-1===i.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+a.rank+" and targets rank "+i.rank})),Vv(a.shape.slice(0,a.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),o=a.shape[a.shape.length-1],Uv(r>0&&r<=o,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last dimension ("+o+"), but got "+r})),e.next=10,a.data();case 10:return s=e.sent,e.next=13,i.data();case 13:u=e.sent,l=s.length/o,c=o,p=eg("bool",l),h=0;case 17:if(!(h<l)){e.next=35;break}for(f=h*c,d=s.subarray(f,f+c),m=[],v=0;v<d.length;v++)m.push({value:d[v],index:v});m.sort((function(e,t){return t.value-e.value})),p[h]=0,g=0;case 25:if(!(g<r)){e.next=32;break}if(m[g].index!==u[h]){e.next=29;break}return p[h]=1,e.abrupt("break",32);case 29:g++,e.next=25;break;case 32:h++,e.next=17;break;case 35:return t!==a&&a.dispose(),n!==i&&i.dispose(),e.abrupt("return",Rk(p,i.shape,"bool"));case 38:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var fR=function(e,t,n){return hR.apply(this,arguments)};var dR=Tk({conv2DBackpropFilter_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC");var s=e;3===e.rank&&(s=DS(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=DS(t,[1,t.shape[0],t.shape[1],t.shape[2]])),Uv(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."})),Uv(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."})),Uv(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}));var l="NHWC"===i?s.shape[3]:s.shape[1],c="NHWC"===i?u.shape[3]:u.shape[1];Uv(l===n[2],(function(){return"Error in conv2dDerFilter: depth of input "+l+") must match input depth in filter ("+n[2]+"."})),Uv(c===n[3],(function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must match output depth for filter ("+n[3]+")."})),FS("conv2dDerFilter",a,o);var p={x:s,dy:u},h={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,filterShape:n};return dk.runKernel(uy,p,h)}});function mR(e,t,n){if(null==n||"linear"===n)return e;if("relu"===n)return iS(e,PC(t));throw new Error("Cannot compute gradient for fused activation "+n+".")}function vR(e,t){var n=t,r=aI(e.shape,t.shape);return r.length>0&&(n=$T(n,r)),DS(n,e.shape)}function gR(e,t,n,r){if("linear"===t)return e;if("relu"===t)return sC(e);if("elu"===t)return kT(e);if("relu6"===t)return uC(e);if("prelu"===t)return UE(e,n);if("leakyrelu"===t)return PT(e,r);if("sigmoid"===t)return zS(e);throw new Error("Unknown fused activation "+t+".")}var yR=function(e,t){return!(e>0)||"linear"===t};var bR=Tk({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.bias,p=e.activation,h=void 0===p?"linear":p,f=e.preluActivationWeights,d=e.leakyreluAlpha;if(h=h||"linear",!1===yR(dk.state.gradientDepth,h)){var m=tT(t,n,r,a,o,u,l);return null!=c&&(m=nS(m,c)),gR(m,h,f,d)}var v=Nk(t,"x","conv2d","float32"),g=Nk(n,"filter","conv2d","float32"),y=v,b=!1;3===v.rank&&(b=!0,y=DS(v,[1,v.shape[0],v.shape[1],v.shape[2]])),Uv(4===y.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+y.rank+"."})),Uv(4===g.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+g.rank+"."})),FS("fused conv2d",a,l),Uv(y.shape[3]===g.shape[2],(function(){return"Error in conv2d: depth of input ("+y.shape[3]+") must match input depth for filter "+g.shape[2]+"."})),Uv(AS(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),Uv("NHWC"===o,(function(){return"Error in conv2d: got dataFormat of "+o+" but only NHWC is currently supported."}));var x,w,k=kS(y.shape,g.shape,r,u,a,l);null!=c&&(x=rk(x=Nk(c,"bias","fused conv2d"),v)[0],iI(k.outShape,x.shape)),null!=f&&(w=Nk(f,"prelu weights","fused conv2d"));var N=function(e,t){var n=t[0],i=t[1],o=t[2],s=t[3],l=mR(e,o,h);Uv(RS(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"}));var c=[rT(i.shape,l,n,r,a),dR(i,l,n.shape,r,a)];if(null!=s){var p=vR(s,l);c.push(p)}return c},I={x:y,filter:g,bias:x,preluActivationWeights:w},S={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:l,activation:h,leakyreluAlpha:d};return null==c?qT((function(e,t,n){var r=dk.runKernel(Ox,I,S);return n([t,e,r]),b&&(r=DS(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:N}}))(y,g):qT((function(e,t,n,r){var a=dk.runKernel(Ox,I,S);return r([t,e,a,n]),b&&(a=DS(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:N}}))(y,g,x)}});var xR=Tk({depthwiseConv2dNativeBackpropFilter_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]);var s=e;3===e.rank&&(s=DS(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=DS(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var l={x:s,dy:u},c={strides:r,pad:a,dimRoundingMode:o,dilations:i,filterShape:n};return dk.runKernel(xy,l,c)}});var wR=Tk({depthwiseConv2dNativeBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]);var s=t,u=!1;3===t.rank&&(u=!0,s=DS(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var l={dy:s,filter:n},c={strides:r,pad:a,dimRoundingMode:o,dilations:i,inputShape:e},p=dk.runKernel(wy,l,c);return u?DS(p,[p.shape[1],p.shape[2],p.shape[3]]):p}});var kR=Tk({fusedDepthwiseConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.bias,p=e.activation,h=void 0===p?"linear":p,f=e.preluActivationWeights,d=e.leakyreluAlpha;if(!1===yR(dk.state.gradientDepth,h)){var m=fT(t,n,r,a,o,u,l);return null!=c&&(m=nS(m,c)),gR(m,h,f,d)}var v=Nk(t,"x","depthwiseConv2d","float32"),g=Nk(n,"filter","depthwiseConv2d","float32"),y=v,b=!1;3===v.rank&&(b=!0,y=DS(v,[1,v.shape[0],v.shape[1],v.shape[2]])),Uv(4===y.rank,(function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+y.rank+"."})),Uv(4===g.rank,(function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+g.rank+"."})),Uv(y.shape[3]===g.shape[2],(function(){return"Error in fused depthwiseConv2d: number of input channels ("+y.shape[3]+") must match the inChannels dimension in filter "+g.shape[2]+"."})),null==u&&(u=[1,1]),Uv(AS(r,u),(function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),FS("fused depthwiseConv2d",a,l);var x,w,k=kS(y.shape,g.shape,r,u,a,l,!0);if(null!=c){var N=rk(x=Nk(c,"bias","fused conv2d"),v);x=N[0],iI(k.outShape,x.shape)}null!=f&&(w=Nk(f,"prelu weights","fused depthwiseConv2d"));var I=function(e,t){Uv(RS(u),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+u+"'"}));var n=t[0],i=t[1],o=t[2],s=t[3],c=mR(e,o,h),p=wR(i.shape,c,n,r,a,u,l),f=xR(i,c,n.shape,r,a,u,l);return null!=s?[p,f,vR(x,c)]:[p,f]},S={x:y,filter:g,bias:x,preluActivationWeights:w},T={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:l,activation:h,leakyreluAlpha:d};return null==c?qT((function(e,t,n){var r=dk.runKernel(Mx,S,T);return n([t,e,r]),b&&(r=DS(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:I}}))(y,g):qT((function(e,t,n,r){var a=dk.runKernel(Mx,S,T);return r([t,e,a,n]),b&&(a=DS(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:I}}))(y,g,x)}});var NR=Tk({fusedMatMul_:function(e){var t=e.a,n=e.b,r=e.transposeA,a=void 0!==r&&r,i=e.transposeB,o=void 0!==i&&i,s=e.bias,u=e.activation,l=void 0===u?"linear":u,c=e.preluActivationWeights,p=e.leakyreluAlpha;if(!1===yR(dk.state.gradientDepth,l)){var h=$N(t,n,a,o);return null!=s&&(h=nS(h,s)),gR(h,l,c,p)}var f=Nk(t,"a","fused matMul"),d=Nk(n,"b","fused matMul"),m=rk(f,d);f=m[0],d=m[1];var v=a?f.shape[f.rank-2]:f.shape[f.rank-1],g=o?d.shape[d.rank-1]:d.shape[d.rank-2],y=a?f.shape[f.rank-1]:f.shape[f.rank-2],b=o?d.shape[d.rank-2]:d.shape[d.rank-1],x=f.shape.slice(0,-2),w=d.shape.slice(0,-2),k=Hv(x),N=Hv(w);Uv(v===g,(function(){return"Error in fused matMul: inner shapes ("+v+") and ("+g+") of Tensors with shapes "+f.shape+" and "+d.shape+" and transposeA="+a+" and transposeB="+o+" must match."}));var I,S,T=iI(f.shape.slice(0,-2),d.shape.slice(0,-2)).concat([y,b]),E=DS(f,a?[k,v,y]:[k,y,v]),C=DS(d,o?[N,b,g]:[N,g,b]);null!=s&&(I=rk(I=Nk(s,"bias","fused matMul"),f)[0],iI(T,I.shape)),null!=c&&(S=Nk(c,"prelu weights","fused matMul"));var R=function(e,t){var n,r,i=t[0],u=t[1],c=t[2],p=t[3],h=mR(DS(e,c.shape),c,l);return a||o?!a&&o?(n=$N(h,u,!1,!1),r=$N(h,i,!0,!1)):a&&!o?(n=$N(u,h,!1,!0),r=$N(i,h,!1,!1)):(n=$N(u,h,!0,!0),r=$N(h,i,!0,!0)):(n=$N(h,u,!1,!0),r=$N(i,h,!0,!1)),null!=s?[n,r,vR(p,h)]:[n,r]},A={a:E,b:C,bias:I,preluActivationWeights:S},_={transposeA:a,transposeB:o,activation:l,leakyreluAlpha:p};return null==s?qT((function(e,t,n){var r=dk.runKernel(Dx,A,_);return n([e,t,r]),{value:DS(r,T),gradFunc:R}}))(E,C):qT((function(e,t,n,r){var a=dk.runKernel(Dx,A,_);return r([e,t,a,n]),{value:DS(a,T),gradFunc:R}}))(E,C,I)}}),IR={__proto__:null,conv2d:bR,depthwiseConv2d:kR,matMul:NR};var SR=Tk({hammingWindow_:function(e){return pR(e,.54,.46)}});var TR=Tk({hannWindow_:function(e){return pR(e,.5,.5)}});var ER=Tk({frame_:function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=0);for(var i=0,o=[];i+t<=e.size;)o.push(PS(e,i,t)),i+=n;if(r)for(;i<e.size;){var s=i+t-e.size,u=LS([PS(e,i,t-s),RT([s],a)]);o.push(u),i+=n}return 0===o.length?VC([],[0,t]):DS(LS(o),[o.length,t])}});var CR=Tk({stft_:function(e,t,n,r,a){void 0===a&&(a=TR),null==r&&(r=cR(t));var i=ER(e,t,n),o=iS(i,a(t));return DC(o,r)}});var RR=Tk({cropAndResize_:function(e,t,n,r,a,i){void 0===a&&(a="bilinear"),void 0===i&&(i=0);var o=Nk(e,"image","cropAndResize"),s=Nk(t,"boxes","cropAndResize","float32"),u=Nk(n,"boxInd","cropAndResize","int32"),l=s.shape[0];Uv(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."})),Uv(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."})),Uv(1===u.rank&&u.shape[0]===l,(function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."})),Uv(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),Uv(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),Uv("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was "+a}));var c={image:o,boxes:s,boxInd:u},p={method:a,extrapolationValue:i,cropSize:r};return dk.runKernel(vy,c,p)}});var AR=Tk({flipLeftRight_:function(e){var t=Nk(e,"image","flipLeftRight","float32");Uv(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,but got rank "+t.rank+"."}));var n={image:t};return dk.runKernel(zy,n,{})}});var _R=Tk({grayscaleToRGB_:function(e){var t=Nk(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];Uv(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, but got rank "+t.rank+"."})),Uv(1===r,(function(){return"Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size "+r+"."}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,ET(t,a)}});var FR=Tk({rotateWithOffset_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=.5);var a=Nk(e,"image","rotateWithOffset","float32");Uv(4===a.rank,(function(){return"Error in rotateWithOffset: image must be rank 4,but got rank "+a.rank+"."}));var i={image:a},o={radians:t,fillValue:n,center:r};return dk.runKernel(Fx,i,o)}});function DR(e,t,n,r,a,i){null==r&&(r=.5),null==a&&(a=Number.NEGATIVE_INFINITY),null==i&&(i=0);var o=e.shape[0];return n=Math.min(n,o),Uv(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"})),Uv(2===e.rank,(function(){return"boxes must be a 2D tensor, but was of rank '"+e.rank+"'"})),Uv(4===e.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was "+e.shape[1]})),Uv(1===t.rank,(function(){return"scores must be a 1D tensor"})),Uv(t.shape[0]===o,(function(){return"scores has incompatible shape with boxes. Expected "+o+", but was "+t.shape[0]})),Uv(0<=i&&i<=1,(function(){return"softNmsSigma must be in [0, 1], but was '"+i+"'"})),{maxOutputSize:n,iouThreshold:r,scoreThreshold:a,softNmsSigma:i}}var OR=Tk({nonMaxSuppression_:function(e,t,n,r,a){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY);var i=Nk(e,"boxes","nonMaxSuppression","float32"),o=Nk(t,"scores","nonMaxSuppression","float32"),s=DR(i,o,n,r,a),u={maxOutputSize:n=s.maxOutputSize,iouThreshold:r=s.iouThreshold,scoreThreshold:a=s.scoreThreshold};return dk.runKernel(Sb,{boxes:i,scores:o},u)}});function MR(e,t,n){var r=function(e,t,n){return function(e,t,n){var r=0,a=e.length,i=0,o=!1;for(;r<a;){var s=n(t,e[i=r+(a-r>>>1)]);s>0?r=i+1:(a=i,o=!s)}return o?r:-r-1}(e,t,n||LR)}(e,t,n),a=r<0?-(r+1):r;e.splice(a,0,t)}function LR(e,t){return e>t?1:e<t?-1:0}function zR(e,t,n,r,a){return WR(e,t,n,r,a,0)}function PR(e,t,n,r,a,i){return WR(e,t,n,r,a,0,!1,i,!0)}function BR(e,t,n,r,a,i){return WR(e,t,n,r,a,i,!0)}function WR(e,t,n,r,a,i,o,s,u){void 0===o&&(o=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);for(var l=[],c=0;c<t.length;c++)t[c]>a&&l.push({score:t[c],boxIndex:c,suppressBeginIndex:0});l.sort(GR);for(var p=i>0?-.5/i:0,h=[],f=[];h.length<n&&l.length>0;){var d=l.pop(),m=d.score,v=d.boxIndex,g=d.suppressBeginIndex;if(m<a)break;for(var y=!1,b=h.length-1;b>=g;--b){var x=UR(e,v,h[b]);if(x>=r){y=!0;break}if(d.score=d.score*VR(r,p,x),d.score<=a)break}d.suppressBeginIndex=h.length,y||(d.score===m?(h.push(v),f.push(d.score)):d.score>a&&MR(l,d,GR))}var w=h.length,k=n-w;s&&k>0&&(h.push.apply(h,new Array(k).fill(0)),f.push.apply(f,new Array(k).fill(0)));var N={selectedIndices:h};return o&&(N.selectedScores=f),u&&(N.validOutputs=w),N}function UR(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),p=Math.max(a[0],a[2]),h=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(i,l),v=Math.max(o,c),g=Math.min(s,p),y=Math.min(u,h),b=Math.max(g-m,0)*Math.max(y-v,0);return b/(f+d-b)}function VR(e,t,n){var r=Math.exp(t*n*n);return n<=e?r:0}function GR(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}function jR(){return(jR=xv(regeneratorRuntime.mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,f;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),o=Nk(t,"boxes","nonMaxSuppressionAsync"),s=Nk(n,"scores","nonMaxSuppressionAsync"),u=DR(o,s,r,a,i),r=u.maxOutputSize,a=u.iouThreshold,i=u.scoreThreshold,e.next=10,Promise.all([o.data(),s.data()]);case 10:return l=e.sent,c=l[0],p=l[1],h=zR(c,p,r,a,i),f=h.selectedIndices,o!==t&&o.dispose(),s!==n&&s.dispose(),e.abrupt("return",UC(f,"int32"));case 17:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var HR=function(e,t,n,r,a){return jR.apply(this,arguments)};var qR=Tk({nonMaxSuppressionWithScore_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=0);var o=Nk(e,"boxes","nonMaxSuppression"),s=Nk(t,"scores","nonMaxSuppression"),u=DR(o,s,n,r,a,i),l={boxes:o,scores:s},c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},p=dk.runKernel(Eb,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}});function KR(){return(KR=xv(regeneratorRuntime.mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=0),s=Nk(t,"boxes","nonMaxSuppressionAsync"),u=Nk(n,"scores","nonMaxSuppressionAsync"),l=DR(s,u,r,a,i,o),r=l.maxOutputSize,a=l.iouThreshold,i=l.scoreThreshold,o=l.softNmsSigma,e.next=12,Promise.all([s.data(),u.data()]);case 12:return c=e.sent,p=c[0],h=c[1],f=BR(p,h,r,a,i,o),d=f.selectedIndices,m=f.selectedScores,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:UC(d,"int32"),selectedScores:UC(m)});case 19:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var XR=function(e,t,n,r,a,i){return KR.apply(this,arguments)};var YR=Tk({nonMaxSuppressionPadded_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=!1);var o=Nk(e,"boxes","nonMaxSuppression"),s=Nk(t,"scores","nonMaxSuppression"),u=DR(o,s,n,r,a,null),l={boxes:o,scores:s},c={maxOutputSize:u.maxOutputSize,iouThreshold:u.iouThreshold,scoreThreshold:u.scoreThreshold,padToMaxOutputSize:i},p=dk.runKernel(Tb,l,c);return{selectedIndices:p[0],validOutputs:p[1]}}});function JR(){return(JR=xv(regeneratorRuntime.mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m,v,g,y;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=!1),s=Nk(t,"boxes","nonMaxSuppressionAsync"),u=Nk(n,"scores","nonMaxSuppressionAsync"),l=DR(s,u,r,a,i,null),c=l.maxOutputSize,p=l.iouThreshold,h=l.scoreThreshold,e.next=11,Promise.all([s.data(),u.data()]);case 11:return f=e.sent,d=f[0],m=f[1],v=PR(d,m,c,p,h,o),g=v.selectedIndices,y=v.validOutputs,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:UC(g,"int32"),validOutputs:vC(y,"int32")});case 18:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var ZR=function(e,t,n,r,a,i){return JR.apply(this,arguments)};var QR=Tk({resizeBilinear_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Nk(e,"images","resizeBilinear");Uv(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+a.rank+"."})),Uv(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+t+"."})),Uv(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=DS(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=dk.runKernel(Vb,s,u);return o?DS(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var $R=Tk({resizeNearestNeighbor_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Nk(e,"images","resizeNearestNeighbor");Uv(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+a.rank+"."})),Uv(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+t+"."})),Uv("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),Uv(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=DS(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=dk.runKernel(Wb,s,u);return o?DS(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var eA=Tk({threshold_:function(e,t,n,r){void 0===t&&(t="binary"),void 0===n&&(n=!1),void 0===r&&(r=.5);var a,i,o,s,u=Nk(e,"image","threshold"),l=u.shape[0]*u.shape[1],c=iS(UC([r]),255);if(Uv(3===u.rank,(function(){return"Error in threshold: image must be rank 3,but got rank "+u.rank+"."})),Uv(3===u.shape[2]||1===u.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1but got "+u.shape[2]+"."})),Uv("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,but got dtype "+u.dtype+"."})),Uv("otsu"===t||"binary"===t,(function(){return"Method must be binary or otsu, but was "+t})),3===u.shape[2]){var p=FC(u,[1,1,1],-1);a=p[0],i=p[1],o=p[2];var h=iS(a,.2989),f=iS(i,.587),d=iS(o,.114);s=nS(nS(h,f),d)}else s=e;"otsu"===t&&(c=function(e,t){for(var n,r,a,i,o,s,u=UC([-1]),l=UC([0]),c=UC([0]),p=0;p<e.size-1;p++){n=PS(e,0,p+1),r=PS(e,p+1),o=aS($T(n),t),s=aS($T(r),t);var h=$T(iS(n,aC(0,n.size)));a=aS(h,$T(n));var f=RT(r.shape,n.size),d=nS(aC(0,r.size),f),m=iS(r,d);i=aS($T(m),$T(r));var v=QT(a,i),g=QT(a,i),y=iS(o,s);c=iS(iS(y,v),g);var b=FT(c,l);l=gT(b,c,l),u=gT(b,UC([p]),u)}return u}(qS(FN(dC(s),"int32"),Rk([]),256),l));var m=n?WT(s,c):FT(s,c);return FN(iS(m,255),"int32")}});var tA=Tk({transform_:function(e,t,n,r,a,i){void 0===n&&(n="nearest"),void 0===r&&(r="constant"),void 0===a&&(a=0);var o=Nk(e,"image","transform","float32"),s=Nk(t,"transforms","transform","float32");Uv(4===o.rank,(function(){return"Error in transform: image must be rank 4,but got rank "+o.rank+"."})),Uv(2===s.rank&&(s.shape[0]===o.shape[0]||1===s.shape[0])&&8===s.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),Uv(null==i||2===i.length,(function(){return"Error in transform: outputShape must be [height, width] or null, but got "+i+"."}));var u={image:o,transforms:s},l={interpolation:n,fillMode:r,fillValue:a,outputShape:i};return dk.runKernel(Ix,u,l)}});var nA=Tk({bandPart_:function(e,t,n){Uv(t%1==0,(function(){return"bandPart(): numLower must be an integer, got "+t+"."})),Uv(n%1==0,(function(){return"bandPart(): numUpper must be an integer, got "+n+"."}));var r=Nk(e,"a","bandPart");Uv(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got "+r.rank+"."}));var a=r.shape,i=r.shape.slice(-2),o=i[0],s=i[1];if(!(t<=o))throw new Error("bandPart(): numLower ("+t+") must not be greater than the number of rows ("+o+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");t<0&&(t=o),n<0&&(n=s);var u=DS(aC(0,o,1,"int32"),[-1,1]),l=aC(0,s,1,"int32"),c=QT(u,l),p=cE(WT(c,vC(+t,"int32")),DT(c,vC(-n,"int32"))),h=bE([o,s],r.dtype);return DS(zC(JC(DS(r,[-1,o,s])).map((function(e){return gT(p,e,h)}))),a)}});var rA=Tk({gramSchmidt_:function(e){var t;Array.isArray(e)?function(){t=!1,Uv(null!=e&&e.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=e[0].shape[0],r=function(t){Uv(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+e[t].shape[0]+" vs. "+n+")"}))},a=1;a<e.length;++a)r(a)}():(t=!0,e=FC(e,e.shape[0],0).map((function(e){return LC(e,[0])}))),Uv(e.length<=e[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+e.length+") exceeds number of dimensions ("+e[0].shape[0]+")."}));for(var n=[],r=e,a=function(e){n.push(dk.tidy((function(){var t=r[e];if(e>0)for(var a=0;a<e;++a){var i=iS($T(iS(n[a],t)),n[a]);t=QT(t,i)}return aS(t,aR(t,"euclidean"))})))},i=0;i<e.length;++i)a(i);return t?zC(n,0):n}});function aA(e,t){return void 0===t&&(t=!1),dk.tidy((function(){Uv(2===e.shape.length,(function(){return"qr2d() requires a 2D Tensor, but got a "+e.shape.length+"D Tensor."}));for(var n=e.shape[0],r=e.shape[1],a=CT(n),i=DN(e),o=VC([[1]],[1,1]),s=DN(o),u=n>=r?r:n,l=function(e){var t=i,u=s,l=a,c=dk.tidy((function(){var t=PS(i,[e,e],[n-e,1]),u=aR(t),l=PS(i,[e,e],[1,1]),c=gT(FT(l,0),VC([[-1]]),VC([[1]])),p=QT(l,iS(c,u)),h=aS(t,p);s=1===h.shape[0]?DN(o):LS([o,PS(h,[1,0],[h.shape[0]-1,h.shape[1]])],0);var f=XT(aS($N(c,p),u)),d=PS(i,[e,0],[n-e,r]),m=iS(f,s),v=tI(s);if(0===e)i=QT(d,$N(m,$N(v,d)));else{var g=QT(d,$N(m,$N(v,d)));i=LS([PS(i,[0,0],[e,r]),g],0)}var y=tI(m),b=PS(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=QT(b,$N($N(b,s),y));else{var x=QT(b,$N($N(b,s),y));a=LS([PS(a,[0,0],[n,e]),x],1)}return[s,i,a]}));s=c[0],i=c[1],a=c[2],ZI([t,u,l])},c=0;c<u;++c)l(c);return!t&&n>r&&(a=PS(a,[0,0],[n,r]),i=PS(i,[0,0],[r,r])),[a,i]}))}var iA,oA=Tk({qr_:function(e,t){if(void 0===t&&(t=!1),Uv(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank "+e.rank})),2===e.rank)return aA(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=JC(DS(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],i=[];return r.forEach((function(e){var n=aA(e,t),r=n[0],o=n[1];a.push(r),i.push(o)})),[DS(zC(a,0),e.shape),DS(zC(i,0),e.shape)]}});(iA=e.Reduction||(e.Reduction={}))[iA.NONE=0]="NONE",iA[iA.MEAN=1]="MEAN",iA[iA.SUM=2]="SUM",iA[iA.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";var sA=Tk({computeWeightedLoss_:function(t,n,r){void 0===r&&(r=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=Nk(t,"losses","computeWeightedLoss"),i=null;null!=n&&(i=Nk(n,"weights","computeWeightedLoss"));var o=null==i?a:iS(a,i);if(r===e.Reduction.NONE)return o;if(r===e.Reduction.SUM)return $T(o);if(r===e.Reduction.MEAN){if(null==i)return yE(o);var s=a.size/i.size,u=aS($T(o),$T(i));return s>1?aS(u,vC(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return aS($T(o),vC(a.size));var l=iS(i,xE(a.shape)),c=FN($T(AE(l,vC(0))),"float32");return aS($T(o),c)}throw Error("Unknown reduction: "+r)}});var uA=Tk({absoluteDifference_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Nk(t,"labels","absoluteDifference"),o=Nk(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=Nk(r,"weights","absoluteDifference")),Vv(i.shape,o.shape,"Error in absoluteDifference: ");var u=oS(QT(i,o));return sA(u,s,a)}});var lA=Tk({cosineDistance_:function(t,n,r,a,i){void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Nk(t,"labels","cosineDistance"),s=Nk(n,"predictions","cosineDistance"),u=null;null!=a&&(u=Nk(a,"weights","cosineDistance")),Vv(o.shape,s.shape,"Error in cosineDistance: ");var l=vC(1),c=QT(l,$T(iS(o,s),r,!0));return sA(c,u,i)}});var cA=Tk({hingeLoss_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Nk(t,"labels","hingeLoss"),o=Nk(n,"predictions","hingeLoss"),s=null;null!=r&&(s=Nk(r,"weights","hingeLoss")),Vv(i.shape,o.shape,"Error in hingeLoss: ");var u=vC(1);i=QT(iS(vC(2),i),u);var l=sC(QT(u,iS(i,o)));return sA(l,s,a)}});var pA=Tk({huberLoss_:function(t,n,r,a,i){void 0===a&&(a=1),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Nk(t,"labels","huberLoss"),s=Nk(n,"predictions","huberLoss"),u=null;null!=r&&(u=Nk(r,"weights","huberLoss")),Vv(o.shape,s.shape,"Error in huberLoss: ");var l=vC(a),c=oS(QT(s,o)),p=NE(c,l),h=QT(c,p),f=nS(iS(vC(.5),TE(p)),iS(l,h));return sA(f,u,i)}});var hA=Tk({logLoss_:function(t,n,r,a,i){void 0===a&&(a=1e-7),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Nk(t,"labels","logLoss"),s=Nk(n,"predictions","logLoss"),u=null;null!=r&&(u=Nk(r,"weights","logLoss")),Vv(o.shape,s.shape,"Error in logLoss: ");var l=vC(1),c=vC(a),p=XT(iS(o,GT(nS(s,c)))),h=iS(QT(l,o),GT(nS(QT(l,s),c))),f=QT(p,h);return sA(f,u,i)}});var fA=Tk({meanSquaredError_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Nk(t,"labels","meanSquaredError"),o=Nk(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=Nk(r,"weights","meanSquaredError")),Vv(i.shape,o.shape,"Error in meanSquaredError: ");var u=MC(i,o);return sA(u,s,a)}});var dA=Tk({sigmoidCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Nk(t,"multiClassLabels","sigmoidCrossEntropy"),s=Nk(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=Nk(r,"weights","sigmoidCrossEntropy")),Vv(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var l=vC(a),c=vC(1),p=vC(.5);o=nS(iS(o,QT(c,l)),iS(p,l))}var h=function(e,t){var n=Nk(e,"labels","sigmoidCrossEntropyWithLogits"),r=Nk(t,"logits","sigmoidCrossEntropyWithLogits");Vv(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=sC(r),i=iS(r,n),o=jT(IT(XT(oS(r))));return nS(QT(a,i),o)}(o,s);return sA(h,u,i)}});var mA=Tk({softmaxCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Nk(t,"onehotLabels","softmaxCrossEntropy"),s=Nk(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=Nk(r,"weights","softmaxCrossEntropy")),Vv(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var l=vC(a),c=vC(1),p=vC(o.shape[1]);o=nS(iS(o,QT(c,l)),aS(l,p))}var h=function(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+t.rank+" and dim was "+n);return qT((function(e,t,r){var a=lE(t,[n],!0),i=QT(FN(t,"float32"),a);r([e,i]);var o=XT(iS(i,e));return{value:$T(o,[n]),gradFunc:function(e,t){var r=t[0],a=t[1],i=aE(e.shape,[n]);return[iS(DS(e,i),QT(FN(r,"float32"),IT(a))),iS(DS(e,i),QT(IT(a),FN(r,"float32")))]}}}))(e,t)}(o,s);return sA(h,u,i)}});var vA=Tk({sparseFillEmptyRows_:function(e,t,n,r){var a=Nk(e,"indices","sparseFillEmptyRows","int32"),i=Nk(t,"values","sparseFillEmptyRows"),o=Nk(n,"denseShape","sparseFillEmptyRows","int32"),s=Nk(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        "+a.shape);if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape "+i.shape);if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape "+o.shape);if(0!==s.rank)throw new Error("Default value should be a scalar but received shape "+s.shape);var u={indices:a,values:i,denseShape:o,defaultValue:s},l=dk.runKernel(ux,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}});var gA=Tk({sparseReshape_:function(e,t,n){var r=Nk(e,"inputIndices","sparseReshape","int32"),a=Nk(t,"inputShape","sparseReshape","int32"),i=Nk(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n        "+r.shape);if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape "+a.shape);if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape "+i.shape);var o={inputIndices:r,inputShape:a,newShape:i},s=dk.runKernel(lx,o);return{outputIndices:s[0],outputShape:s[1]}}});var yA=Tk({sparseSegmentMean_:function(e,t,n){var r=Nk(e,"data","sparseSegmentMean"),a=Nk(t,"indices","sparseSegmentMean","int32"),i=Nk(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n          "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          "+i.shape);var o={data:r,indices:a,segmentIds:i};return dk.runKernel(cx,o)}});var bA=Tk({sparseSegmentSum_:function(e,t,n){var r=Nk(e,"data","sparseSegmentSum"),a=Nk(t,"indices","sparseSegmentSum","int32"),i=Nk(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         "+i.shape);var o={data:r,indices:a,segmentIds:i};return dk.runKernel(px,o)}});var xA=Tk({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=Nk(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: "+u.shape);var l=Nk(t,"dataSplits","stringNGrams");if("int32"!==l.dtype)throw new Error("Data splits must be of datatype int32");var c={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},p={data:u,dataSplits:l},h=dk.runKernel(vx,p,c);return{nGrams:h[0],nGramsSplits:h[1]}}});var wA=Tk({stringSplit_:function(e,t,n){void 0===n&&(n=!0);var r=Nk(e,"input","stringSplit","string"),a=Nk(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape "+r.shape);if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape "+a.shape);var i={skipEmpty:n},o={input:r,delimiter:a},s=dk.runKernel(gx,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var kA=Tk({stringToHashBucketFast_:function(e,t){var n=Nk(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return dk.runKernel(yx,a,r)}}),NA={fft:RC,ifft:AC,rfft:DC,irfft:_C},IA={hammingWindow:SR,hannWindow:TR,frame:ER,stft:CR},SA={flipLeftRight:AR,grayscaleToRGB:_R,resizeNearestNeighbor:$R,resizeBilinear:QR,rotateWithOffset:FR,cropAndResize:RR,nonMaxSuppression:OR,nonMaxSuppressionAsync:HR,nonMaxSuppressionWithScore:qR,nonMaxSuppressionWithScoreAsync:XR,nonMaxSuppressionPadded:YR,nonMaxSuppressionPaddedAsync:ZR,threshold:eA,transform:tA},TA={bandPart:nA,gramSchmidt:rA,qr:oA},EA={absoluteDifference:uA,computeWeightedLoss:sA,cosineDistance:lA,hingeLoss:cA,huberLoss:pA,logLoss:hA,meanSquaredError:fA,sigmoidCrossEntropy:dA,softmaxCrossEntropy:mA},CA={sparseFillEmptyRows:vA,sparseReshape:gA,sparseSegmentMean:yA,sparseSegmentSum:bA},RA={stringNGrams:xA,stringSplit:wA,stringToHashBucketFast:kA},AA=function(e){function t(){return e.apply(this,arguments)||this}Nv(t,e);var n=t.prototype;return n.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return ZI(i),t?a:(a.dispose(),null)},n.incrementIterations=function(){this.iterations_=this.iterations+1},n.computeGradients=function(e,t){return HT(e,t)},n.dispose=function(){null!=this.iterations_&&ZI(this.iterations_)},n.saveIterations=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:vC(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for this optimizer yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.extractIterations=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t[0].tensor.data();case 2:return this.iterations_=e.sent[0],e.abrupt("return",t.slice(1));case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),kv(t,[{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}}]),t}(zI);Object.defineProperty(AA,Symbol.hasInstance,{value:function(e){return null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients}});var _A=function(e){function t(t,n,r){var a;return void 0===r&&(r=null),(a=e.call(this)||this).learningRate=t,a.rho=n,a.epsilon=r,a.accumulatedGrads=[],a.accumulatedUpdates=[],null==r&&(a.epsilon=dk.backend.epsilon()),a}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=dk.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:JI((function(){return yT(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:JI((function(){return yT(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;JI((function(){var e=nS(iS(o,t.rho),iS(TE(i),1-t.rho)),n=iS(aS(OC(nS(s,t.epsilon)),OC(nS(o,t.epsilon))),i),r=nS(iS(s,t.rho),iS(TE(n),1-t.rho));o.assign(e),s.assign(r);var u=nS(iS(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedUpdates&&(ZI(this.accumulatedGrads.map((function(e){return e.variable}))),ZI(this.accumulatedUpdates.map((function(e){return e.variable}))))},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(this.accumulatedGrads,this.accumulatedUpdates),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=t.length/2,!1,this.accumulatedGrads=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedUpdates=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t}(AA);_A.className="Adadelta",BI(_A);var FA=function(e){function t(t,n){var r;return void 0===n&&(n=.1),(r=e.call(this)||this).learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=dk.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:n+"/accumulator",variable:JI((function(){return RT(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;JI((function(){var e=nS(o,TE(i));o.assign(e);var n=nS(iS(aS(i,OC(nS(e,dk.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedGrads&&ZI(this.accumulatedGrads.map((function(e){return e.variable})))},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulatedGrads=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t}(AA);FA.className="Adagrad",BI(FA);var DA=function(e){function t(t,n,r,a){var i;return void 0===a&&(a=null),(i=e.call(this)||this).learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=a,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],JI((function(){i.accBeta1=vC(n).variable(),i.accBeta2=vC(r).variable()})),null==a&&(i.epsilon=dk.backend.epsilon()),i}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);JI((function(){var r=QT(1,t.accBeta1),a=QT(1,t.accBeta2);n.forEach((function(n,i){var o=dk.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:JI((function(){return yT(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:n+"/v",variable:JI((function(){return yT(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,l=t.accumulatedSecondMoment[i].variable,c=nS(iS(u,t.beta1),iS(s,1-t.beta1)),p=nS(iS(l,t.beta2),iS(TE(s),1-t.beta2)),h=aS(c,r),f=aS(p,a);u.assign(c),l.assign(p);var d=nS(iS(aS(h,nS(OC(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(iS(t.accBeta1,t.beta1)),t.accBeta2.assign(iS(t.accBeta2,t.beta2))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&ZI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&ZI(this.accumulatedSecondMoment.map((function(e){return e.variable})))},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(this.accumulatedFirstMoment,this.accumulatedSecondMoment),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,JI((function(){r.accBeta1.assign(WE(r.beta1,r.iterations_+1)),r.accBeta2.assign(WE(r.beta2,r.iterations_+1))})),n=t.length/2,!1,this.accumulatedFirstMoment=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedSecondMoment=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t}(AA);DA.className="Adam",BI(DA);var OA=function(e){function t(t,n,r,a,i){var o;return void 0===a&&(a=null),void 0===i&&(i=0),(o=e.call(this)||this).learningRate=t,o.beta1=n,o.beta2=r,o.epsilon=a,o.decay=i,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],JI((function(){o.iteration=vC(0).variable(),o.accBeta1=vC(n).variable()})),null==a&&(o.epsilon=dk.backend.epsilon()),o}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);JI((function(){var r=QT(1,t.accBeta1),a=aS(-t.learningRate,nS(iS(t.iteration,t.decay),1));n.forEach((function(n,i){var o=dk.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:yT(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:n+"/v",variable:yT(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,l=t.accumulatedWeightedInfNorm[i].variable,c=nS(iS(u,t.beta1),iS(s,1-t.beta1)),p=iS(l,t.beta2),h=oS(s),f=gE(p,h);u.assign(c),l.assign(f);var d=nS(iS(aS(a,r),aS(c,nS(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(nS(t.iteration,1)),t.accBeta1.assign(iS(t.accBeta1,t.beta1))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&ZI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&ZI(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t}(AA);OA.className="Adamax",BI(OA);var MA=function(e){function t(t){var n;return(n=e.call(this)||this).learningRate=t,n.setLearningRate(t),n}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=dk.registeredVariables[n];JI((function(){var e=nS(iS(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()},n.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=QI(vC(-e))},n.dispose=function(){this.c.dispose()},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0]);case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t}(AA);MA.className="SGD",BI(MA);var LA=function(e){function t(t,n,r){var a;return void 0===r&&(r=!1),(a=e.call(this,t)||this).learningRate=t,a.momentum=n,a.useNesterov=r,a.accumulations=[],a.m=vC(a.momentum),a}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=dk.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:n+"/momentum",variable:JI((function(){return yT(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&JI((function(){var e,n=nS(iS(t.m,i),o);e=t.useNesterov?nS(iS(t.c,nS(o,iS(n,t.m))),a):nS(iS(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()},n.dispose=function(){this.m.dispose(),null!=this.accumulations&&ZI(this.accumulations.map((function(e){return e.variable})))},n.setMomentum=function(e){this.momentum=e},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulations=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t}(MA);LA.className="Momentum",BI(LA);var zA=function(e){function t(t,n,r,a,i){var o;if(void 0===n&&(n=.9),void 0===r&&(r=0),void 0===a&&(a=null),void 0===i&&(i=!1),(o=e.call(this)||this).learningRate=t,o.decay=n,o.momentum=r,o.epsilon=a,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=i,null==a&&(o.epsilon=dk.backend.epsilon()),null==t)throw new Error("learningRate for RMSPropOptimizer must be defined.");return o}Nv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=dk.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:JI((function(){return yT(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:n+"/momentum",variable:JI((function(){return yT(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:JI((function(){return yT(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;JI((function(){var e=nS(iS(s,t.decay),iS(TE(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=nS(iS(n,t.decay),iS(o,1-t.decay)),l=aS(iS(o,t.learningRate),OC(QT(e,nS(TE(i),t.epsilon)))),c=nS(iS(u,t.momentum),l);s.assign(e),n.assign(i),u.assign(c);var p=QT(a,c);a.assign(p)}else{var h=nS(iS(s,t.decay),iS(TE(o),1-t.decay)),f=nS(iS(u,t.momentum),aS(iS(o,t.learningRate),OC(nS(h,t.epsilon))));s.assign(h),u.assign(f);var d=QT(a,f);a.assign(d)}}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedMeanSquares&&ZI(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&ZI(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&ZI(this.accumulatedMoments.map((function(e){return e.variable})))},n.getWeights=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(this.accumulatedMeanSquares,this.accumulatedMoments),this.centered&&t.push.apply(t,this.accumulatedMeanGrads),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=this.centered?t.length/3:t.length/2,r=!1,this.accumulatedMeanSquares=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.accumulatedMoments=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*n,3*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t}(AA);zA.className="RMSProp",BI(zA);var PA=function(){function e(){}return e.sgd=function(e){return new MA(e)},e.momentum=function(e,t,n){return void 0===n&&(n=!1),new LA(e,t,n)},e.rmsprop=function(e,t,n,r,a){return void 0===t&&(t=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===a&&(a=!1),new zA(e,t,n,r,a)},e.adam=function(e,t,n,r){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new DA(e,t,n,r)},e.adadelta=function(e,t,n){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===n&&(n=null),new _A(e,t,n)},e.adamax=function(e,t,n,r,a){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===a&&(a=0),new OA(e,t,n,r,a)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new FA(e,t)},e}(),BA={sgd:PA.sgd,momentum:PA.momentum,adadelta:PA.adadelta,adagrad:PA.adagrad,rmsprop:PA.rmsprop,adamax:PA.adamax,adam:PA.adam},WA="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(e){return e()};function UA(){return new Promise((function(e){return WA((function(){return e()}))}))}function VA(e,t){var n=e[0].length;e.forEach((function(e,t){Uv(e.length===n,(function(){return"Error in concat"+n+"D: rank of tensors["+t+"] must be the same as the rank of the rest ("+n+")"}))})),Uv(t>=0&&t<n,(function(){return"Error in concat"+n+"D: axis must be between 0 and "+(n-1)+"."}));var r=e[0];e.forEach((function(e,a){for(var i=0;i<n;i++)Uv(i===t||e[i]===r[i],(function(){return"Error in concat"+n+"D: Shape of tensors["+a+"] ("+e+") does not match the shape of the rest ("+r+") along the non-concatenated axis "+a+"."}))}))}function GA(e,t){for(var n=e[0].slice(),r=1;r<e.length;r++)n[t]+=e[r][t];return n}function jA(e){return e<=30?e:fg(e,Math.floor(Math.sqrt(e)))}function HA(e,t,n){return[n*("number"==typeof e?e:e[0]),t*("number"==typeof e?e:e[1])]}function qA(e,t,n,r){void 0===r&&(r=!0);var a=[];if(r)(a=a.concat(t.slice(0))).push(e[0]/n),a=a.concat(e.slice(1));else{a=a.concat(e[0]);for(var i=t.length,o=0;o<i;++o)a=a.concat([e[o+1]/t[o],t[o]]);a=a.concat(e.slice(i+1))}return a}function KA(e,t,n){void 0===n&&(n=!0);var r=[];if(n){r.push(t);for(var a=t+1;a<e;++a)a<=2*t?(r.push(a),r.push(a-(t+1))):r.push(a)}else{for(var i=[],o=[],s=1;s<e;++s)s>=2*t+1||s%2==1?o.push(s):i.push(s);r.push.apply(r,i),r.push(0),r.push.apply(r,o)}return r}function XA(e,t,n,r){void 0===r&&(r=!0);var a=[];r?a.push(e[0]/n):a.push(e[0]*n);for(var i=1;i<e.length;++i)i<=t.length?r?a.push(t[i-1]*e[i]):a.push(e[i]/t[i-1]):a.push(e[i]);return a}function YA(e,t){for(var n=[0],r=0;r<t;++r)n.push(e[r][0]);return n}function JA(e,t,n){for(var r=e.slice(0,1),a=0;a<n;++a)r.push(e[a+1]-t[a][0]-t[a][1]);return r}var ZA=1.7580993408473768,QA=1.0507009873554805,$A=.3275911,e_=.254829592,t_=-.284496736,n_=1.421413741,r_=-1.453152027,a_=1.061405429;function i_(e,t){if(e.length!==t.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+e.length+", imag: "+t.length+".");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function o_(e){for(var t=new Float32Array(e.length/2),n=new Float32Array(e.length/2),r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}function s_(e){for(var t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=0;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}function u_(e){for(var t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=2;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}function l_(e,t){return{real:e[2*t],imag:e[2*t+1]}}function c_(e,t,n,r){e[2*r]=t,e[2*r+1]=n}function p_(e,t){for(var n=new Float32Array(e/2),r=new Float32Array(e/2),a=0;a<Math.ceil(e/2);a++){var i=(t?2:-2)*Math.PI*(a/e);n[a]=Math.cos(i),r[a]=Math.sin(i)}return{real:n,imag:r}}function h_(e,t,n){var r=(n?2:-2)*Math.PI*(e/t);return{real:Math.cos(r),imag:Math.sin(r)}}var f_="->",d_=/->/g;function m_(e,t){var n=((e=e.replace(/\s/g,"")).length-e.replace(d_,"").length)/f_.length;if(n<1)throw new Error("Equations without an arrow are not supported.");if(n>1)throw new Error('Equation must contain exactly one arrow ("->").');var r=e.split(f_),a=r[0],i=r[1];Uv(-1===a.indexOf("..."),(function(){return'The ellipsis notation ("...") is not supported yet.'}));var o=a.split(","),s=o.length;if(t!==s)throw new Error("Expected "+s+" input tensors, received "+t);if(s>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");for(var u=[],l=function(e){var t=i[e];if(!o.some((function(e){return-1!==e.indexOf(t)})))throw new Error("Output subscripts contain the label "+t+" not present in the input subscripts.");-1===u.indexOf(t)&&u.push(t)},c=0;c<i.length;++c)l(c);for(var p=0;p<a.length;++p){var h=a[p];-1===u.indexOf(h)&&","!==h&&u.push(h)}for(var f=new Array(o.length),d=0;d<s;++d){if(new Set(o[d].split("")).size!==o[d].length)throw new Error("Found duplicate axes in input component "+o[d]+". Support for duplicate axes in input is not implemented yet.");f[d]=[];for(var m=0;m<o[d].length;++m)f[d].push(u.indexOf(o[d][m]))}for(var v=u.length,g=[],y=i.length;y<v;++y)g.push(y);return{allDims:u,summedDims:g,idDims:f}}function v_(e,t){var n=new Array(e);n.fill(-1);for(var r=0;r<t.length;++r)n[t[r]]=r;for(var a=[],i=0;i<e;++i)-1===n[i]&&a.push(i);return{permutationIndices:n=n.filter((function(e){return-1!==e})),expandDims:a}}function g_(e,t,n){for(var r=new Array(e),a=function(e){for(var a=n[e].shape,i=function(n){void 0===r[t[e][n]]?r[t[e][n]]=a[n]:Uv(r[t[e][n]]===a[n],(function(){return"Expected dimension "+r[t[e][n]]+" at axis "+n+" of input shaped "+JSON.stringify(a)+", but got dimension "+a[n]}))},o=0;o<t[e].length;++o)i(o)},i=0;i<n.length;++i)a(i)}function y_(e,t){var n,r=e,a=[];0===e.length&&r.push(-1),n=e.length+1;for(var i=0;i<n;++i)a.push([]);for(var o=[],s=0;s<r.length;++s)for(var u,l=Fv(x_(t,r[s]));!(u=l()).done;){var c=u.value;-1===o.indexOf(c)&&(a[s].push(c),o.push(c))}return{path:r,steps:a}}function b_(e){return e.every((function(e,t){return e===t}))}function x_(e,t){for(var n=[],r=0;r<e.length;++r)0!==e[r].length&&-1===e[r].indexOf(t)&&-1!==t||n.push(r);return n}function w_(e,t,n){void 0===n&&(n=0);var r=[];if("number"==typeof t)Uv(e.shape[n]%t==0,(function(){return"Number of splits must evenly divide the axis."})),r=new Array(t).fill(e.shape[n]/t);else{Uv(t.reduce((function(e,t){return-1===t&&(e+=1),e}),0)<=1,(function(){return"There should be only one negative value in split array."}));var a=t.indexOf(-1);if(-1!==a){var i=t.reduce((function(e,t){return t>0?e+t:e}));t[a]=e.shape[n]-i}Uv(e.shape[n]===t.reduce((function(e,t){return e+t})),(function(){return"The sum of sizes must match the size of the axis dimension."})),r=t}return r}function k_(e){return"Received SparseTensor with denseShape[0] = 0 but\n  indices.shape[0] = "+e}function N_(e,t){return"indices("+e+", 0) is invalid: "+t+" < 0"}function I_(e,t,n){return"indices("+e+", 0) is invalid: "+t+" >= "+n}function S_(e,t){return"only one output dimension may be -1, not both "+e+" and "+t}function T_(e,t){return"size "+e+" must be non-negative, not "+t}function E_(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function C_(e,t){return"Input to reshape is a SparseTensor with "+Hv(e)+"\n  dense values, but the requested shape requires a multiple of "+Hv(t)+". inputShape="+e+" outputShape= "+t}function R_(e,t){return"Input to reshape is a tensor with "+Hv(e)+" dense values, but the requested shape has "+Hv(t)+". inputShape="+e+" outputShape="+t}function A_(){return"segment ids must be >= 0"}function __(){return"segment ids are not increasing"}function F_(e,t){return"Segment id "+e+" out of range [0, "+t+"), possibly because segmentIds input is not sorted."}function D_(e,t,n){return"Bad: indices["+e+"] == "+t+" out of range [0, "+n+")"}function O_(e,t){var n,r=!1;for(e<=30?(n=e,r=!0):n=fg(e,Math.floor(Math.sqrt(e)));!r;)n>t||n===e?r=!0:n=fg(e,n+1);return n}function M_(e,t,n){for(var r=[],a=e.length,i=0;i<a;i++)i!==t?r.push(e[i]):r.push(n);return r}function L_(e,t,n,r){var a=t.shape.length,i=e.shape.length;if(0!==r&&(r<-a||r>a))throw new Error("Expect batchDims in the range of [-"+a+", "+a+"], but got "+r);if(r<0&&(r+=a),r>i)throw new Error("batchDims ("+r+") must be less than rank(x) (\n    "+i+").");if(n<r)throw new Error("batchDims ("+r+") must be less than or equal to axis ("+n+").");for(var o=0;o<r;++o)if(e.shape[o]!==t.shape[o])throw new Error("x.shape["+o+"]: "+e.shape[o]+" should be equal to indices.shape["+o+"]: "+t.shape[o]+".");for(var s=e.shape[n],u=[],l=1,c=1,p=1,h=0;h<r;++h)u.push(e.shape[h]),l*=e.shape[h];for(var f=r;f<n;f++)u.push(e.shape[f]),c*=e.shape[f];for(var d=r;d<a;d++)u.push(t.shape[d]);for(var m=n+1;m<i;m++)u.push(e.shape[m]),p*=e.shape[m];return{batchSize:l,sliceSize:p,outerSize:c,dimSize:s,outputShape:u}}function z_(e){try{return e.map((function(e){return Ow(e)}))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8, error: "+e)}}function P_(e){return e.map((function(e){return Dw(e)}))}var B_={__proto__:null,slice_util:LI,segment_util:{__proto__:null,segOpComputeOptimalWindowSize:O_,computeOutShape:M_,collectGatherOpShapeInfo:L_},fromUint8ToStringArray:z_,fromStringArrayToUint8:P_,upcastType:tk,axesAreInnerMostDims:tE,combineLocations:nE,computeOutAndReduceShapes:rE,expandShapeToKeepDim:aE,assertAxesAreInnerMostDims:iE,getAxesPermutation:oE,getUndoAxesPermutation:sE,getInnerMostAxes:uE,getBroadcastDims:rI,getReductionAxes:aI,assertAndGetBroadcastShape:iI,assertParamsConsistent:VA,computeOutShape:GA,computeDilation2DInfo:bS,computePool2DInfo:xS,computePool3DInfo:wS,computeConv2DInfo:kS,computeConv3DInfo:NS,computeDefaultPad:IS,tupleValuesAreOne:RS,eitherStridesOrDilationsAreOne:AS,convertConv2DDataFormat:_S,checkPadOnDimRoundingMode:FS,getFusedDyActivation:mR,getFusedBiasGradient:vR,applyActivation:gR,shouldFuse:yR,PARALLELIZE_THRESHOLD:30,computeOptimalWindowSize:jA,getImageCenter:HA,getReshaped:qA,getPermuted:KA,getReshapedPermuted:XA,getSliceBeginCoords:YA,getSliceSize:JA,prepareAndValidate:mI,validateUpdateShape:gI,validateInput:yI,calculateShapes:bI,SELU_SCALEALPHA:ZA,SELU_SCALE:QA,ERF_P:$A,ERF_A1:e_,ERF_A2:t_,ERF_A3:n_,ERF_A4:r_,ERF_A5:a_,warn:Lx,log:function(){var e;Rg().getBool("IS_TEST")||Rg().getBool("PROD")||(e=console).log.apply(e,arguments)},mergeRealAndImagArrays:i_,splitRealAndImagArrays:o_,complexWithEvenIndex:s_,complexWithOddIndex:u_,getComplexWithIndex:l_,assignToTypedArray:c_,exponents:p_,exponent:h_,decodeEinsumEquation:m_,getEinsumPermutation:v_,checkEinsumDimSizes:g_,getEinsumComputePath:y_,isIdentityPermutation:b_,prepareSplitSize:w_,getSparseFillEmptyRowsIndicesDenseShapeMismatch:k_,getSparseFillEmptyRowsNegativeIndexErrorMessage:N_,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:I_,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:S_,getSparseReshapeNegativeOutputDimErrorMessage:T_,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:E_,getSparseReshapeInputOutputMultipleErrorMessage:C_,getSparseReshapeInputOutputMismatchErrorMessage:R_,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:A_,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:__,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:F_,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:D_},W_={__proto__:null,nonMaxSuppressionV3Impl:zR,nonMaxSuppressionV4Impl:PR,nonMaxSuppressionV5Impl:BR,whereImpl:QC},U_={kernelName:Fg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,PC(FN(n,"float32"),-1))}}}},V_={kernelName:Dg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){var t=TE(FN(n,"float32")),r=OC(QT(vC(1),t));return XT(aS(e,r))}}}},G_={kernelName:Og,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){var t=OC(QT(TE(FN(n,"float32")),1));return aS(e,t)}}}},j_={kernelName:Mg,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=e,r=aI(n.shape,a);return r.length>0&&(t=$T(t,r)),DS(t,n.shape)},b:function(){var t=e,n=aI(r.shape,a);return n.length>0&&(t=$T(t,n)),DS(t,r.shape)}}}},H_={kernelName:Lg,saveAllInputs:!0,gradFunc:function(e,t){var n={};return t.forEach((function(t,r){n[r]=function(){return e.clone()}})),n}},q_={kernelName:Bg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return yT(n)}}}},K_={kernelName:Wg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return yT(n)}}}},X_={kernelName:Ug,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,OC(QT(vC(1),TE(FN(n,"float32")))))}}}},Y_={kernelName:Vg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){var t=OC(nS(vC(1),TE(FN(n,"float32"))));return aS(e,t)}}}},J_={kernelName:Hg,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=nS(TE(n),TE(r)),i=iS(e,aS(r,t)),o=aI(n.shape,a);return o.length>0&&(i=$T(i,o)),DS(i,n.shape)},b:function(){var t=nS(TE(n),TE(r)),i=XT(iS(e,aS(n,t))),o=aI(r.shape,a);return o.length>0&&(i=$T(i,o)),DS(i,r.shape)}}}},Z_={kernelName:Gg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,nS(TE(FN(n,"float32")),1))}}}},Q_={kernelName:jg,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,QT(vC(1),TE(FN(n,"float32"))))}}}};var $_=Tk({avgPool3dGrad_:function(e,t,n,r,a,i){var o=Nk(e,"dy","avgPool3dGrad"),s=Nk(t,"input","avgPool3dGrad"),u=o,l=s,c=!1;4===s.rank&&(c=!0,u=DS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),l=DS(s,[1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]])),Uv(5===u.rank,(function(){return"Error in avgPool3dGrad: dy must be rank 5 but got rank "+u.rank+"."})),Uv(5===l.rank,(function(){return"Error in avgPool3dGrad: input must be rank 5 but got rank "+l.rank+"."})),FS("avgPool3dGrad",a,i);var p={dy:u,input:l},h={filterSize:n,strides:r,pad:a,dimRoundingMode:i},f=dk.runKernel(Yg,p,h);return c?DS(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}}),eF={kernelName:Xg,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.filterSize,i=n.strides,o=n.pad,s=n.dimRoundingMode;return{x:function(){return $_(e,r,a,i,o,s)}}}};var tF=Tk({avgPoolGrad_:function(e,t,n,r,a){var i=Nk(e,"dy","avgPoolGrad"),o=Nk(t,"input","avgPoolGrad");Uv(o.rank===i.rank,(function(){return"Rank of input ("+o.rank+") does not match rank of dy ("+i.rank+")"}));var s=o,u=i,l=!1;3===o.rank&&(l=!0,s=DS(o,[1,o.shape[0],o.shape[1],o.shape[2]]),u=DS(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Uv(4===u.rank,(function(){return"Error in avgPoolGrad: dy must be rank 4 but got rank "+u.rank+"."})),Uv(4===s.rank,(function(){return"Error in avgPoolGrad: input must be rank 4 but got rank "+s.rank+"."}));var c={dy:u,input:s},p={filterSize:n,strides:r,pad:a},h=dk.runKernel(Kg,c,p);return l?DS(h,[h.shape[1],h.shape[2],h.shape[3]]):h}}),nF={kernelName:qg,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.filterSize,i=n.strides,o=n.pad;return{x:function(){return tF(e,r,a,i,o)}}}},rF={kernelName:Jg,inputsToSave:["a","b"],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.transposeA,o=n.transposeB;return i||o?!i&&o?{a:function(){return $N(e,a,!1,!1)},b:function(){return $N(e,r,!0,!1)}}:i&&!o?{a:function(){return $N(a,e,!1,!0)},b:function(){return $N(r,e,!1,!1)}}:{a:function(){return $N(a,e,!0,!0)},b:function(){return $N(e,r,!0,!0)}}:{a:function(){return $N(e,a,!1,!0)},b:function(){return $N(r,e,!0,!1)}}}},aF={kernelName:Zg,gradFunc:function(e,t,n){var r=n.blockShape,a=n.crops;return{x:function(){return PE(e,r,a)}}}},iF={kernelName:$g,gradFunc:function(e,t,n){for(var r=n,a=r.inputShape,i=r.shape,o=Array.from(i),s=a.length-1;s>=0;s--)if(a[s]===i[s])o[s]=1;else if(1!==a[s])throw new Error("broadcastTo(): ["+a+"] cannot be broadcast to ["+i+"].");for(var u=[],l=0;l<o.length;l++)o[l]>1&&u.push(l);return{x:function(){return $T(e,u,!0)}}}},oF={kernelName:ty,gradFunc:function(e){return{x:function(){return e.clone()}}}},sF={kernelName:ny,gradFunc:function(e){return{x:function(){return yT(e)}}}},uF={kernelName:ry,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.clipValueMin,i=n.clipValueMax;return{x:function(){return gT(cE(DT(r,a),WT(r,i)),e,yT(e))}}}},lF={kernelName:iy,inputsToSave:["x"],gradFunc:U_.gradFunc},cF={kernelName:oy,saveAllInputs:!0,gradFunc:function(e,t,n){var r=t.map((function(e){return e.shape})),a=Qv(n.axis,t[0].shape)[0],i=r.map((function(e){return e[a]}));return FC(e,i,a).map((function(e){return function(){return e}}))}},pF={kernelName:sy,inputsToSave:["x","filter"],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.dilations,o=n.strides,s=n.pad,u=n.dataFormat;return Uv(RS(i),(function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+i+"'"})),{x:function(){return rT(r.shape,e,a,o,s,u)},filter:function(){return dR(r,e,a.shape,o,s,u)}}}},hF={kernelName:ly,inputsToSave:["dy","filter"],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.strides,o=n.pad,s=n.dataFormat,u=n.dimRoundingMode;return{dy:function(){return tT(e,a,i,o,s,1,u)},filter:function(){return dR(e,r,a.shape,i,o,s,u)}}}};var fF=Tk({conv3DBackpropFilter_:function(e,t,n,r,a){var i=e;4===e.rank&&(i=DS(e,[1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]]));var o=t;4===o.rank&&(o=DS(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),Uv(5===i.rank,(function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+i.shape+"."})),Uv(5===o.rank,(function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+o.shape+"."})),Uv(5===n.length,(function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."})),Uv(i.shape[4]===n[3],(function(){return"Error in conv3dDerFilter: depth of input "+i.shape[4]+") must match input depth in filter ("+n[3]+"."})),Uv(o.shape[4]===n[4],(function(){return"Error in conv3dDerFilter: depth of dy ("+o.shape[4]+") must match output depth for filter ("+n[4]+")."}));var s={x:i,dy:o},u={strides:r,pad:a,filterShape:n};return dk.runKernel(py,s,u)}}),dF={kernelName:cy,inputsToSave:["x","filter"],gradFunc:function(e,t,n){var r=n.dilations,a=n.strides,i=n.pad;Uv(RS(r),(function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+r+"'"}));var o=t[0],s=t[1];return{x:function(){return oT(o.shape,e,s,a,i)},filter:function(){return fF(o,e,s.shape,a,i)}}}},mF={kernelName:fy,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(XT(kC(FN(n,"float32"))),e)}}}},vF={kernelName:dy,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(NC(FN(n,"float32")),e)}}}},gF={kernelName:my,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.axis,i=n.exclusive,o=n.reverse;return{x:function(){var t=oE([a],r.rank),n=cT(e,a,i,!o);return null!=t&&(n=tI(n,t)),n}}}},yF={kernelName:by,inputsToSave:["x","filter"],gradFunc:function(e,t,n){var r=n.dilations,a=n.strides,i=n.pad,o=n.dimRoundingMode,s=null==r?[1,1]:r;Uv(RS(s),(function(){return"Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '"+s+"'"}));var u=t[0],l=t[1];return Uv(4===u.rank,(function(){return"Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank "+u.rank+"."})),Uv(4===l.rank,(function(){return"Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank "+l.rank+"."})),Uv(u.shape[3]===l.shape[2],(function(){return"Error in gradient of depthwiseConv2d: number of input channels ("+u.shape[3]+") must match the inChannels dimension in filter "+l.shape[2]+"."})),Uv(AS(a,s),(function(){return"Error in gradient of depthwiseConv2d: Either strides or dilations must be  1. Got strides "+a+" and dilations '"+s+"'."})),FS("depthwiseConv2d",i,o),{x:function(){return wR(u.shape,e,l,a,i,s,o)},filter:function(){return xR(u,e,l.shape,a,i,s,o)}}}},bF={kernelName:Ny,inputsToSave:["x","filter"],gradFunc:function(e,t,n){var r=t[0],a=t[1],i={x:r,filter:a,dy:e},o={x:r,filter:a,dy:e};return{x:function(){return dk.runKernel(Iy,i,n)},filter:function(){return dk.runKernel(Sy,o,n)}}}},xF={kernelName:Cy,outputsToSave:[!0],gradFunc:function(e,t){var n={dy:e,y:t[0]};return{x:function(){return dk.runKernel(Ry,n)}}}},wF={kernelName:Ay,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0],r=iS(IT(XT(TE(n))),2/Math.sqrt(Math.PI));return{x:function(){return iS(e,r)}}}},kF={kernelName:Fy,outputsToSave:[!0],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,n)}}}},NF={kernelName:Dy,inputsToSave:["input"],gradFunc:function(e,t){var n=t[0];return{input:function(){return DS(e,n.shape)}}}},IF={kernelName:Oy,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,IT(n))}}}},SF={kernelName:Py,gradFunc:function(e){return{x:function(){return yT(e)}}}},TF={kernelName:By,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=aS(e,FN(r,"float32")),i=aI(n.shape,a);return i.length>0?DS($T(t,i),n.shape):t},b:function(){var t=iS(e,FN(n,"float32")),i=aI(r.shape,a);i.length>0&&(t=DS($T(t,i),r.shape));var o=TE(r);return XT(aS(t,FN(o,"float32")))}}}},EF={kernelName:Wy,inputsToSave:["x","mean","variance","scale"],gradFunc:function(e,t,n){var r=n.varianceEpsilon,a=t[0],i=t[1],o=t[2],s=t[3],u=null==s?vC(1):s,l=aI(i.shape,a.shape),c=[];if(1===i.rank){for(var p=0;p<a.shape.length-1;++p)c.push(a.shape[p]);c.push(1)}var h=QT(a,i),f=iS(e,u),d=mC(nS(o,vC(r))),m=iS(iS(iS(d,d),d),vC(-.5));return{x:function(){return 1===i.rank?DS(iS(iS(e,ET(DS(d,[1,1,1,i.shape[0]]),c)),u),a.shape):DS(iS(iS(e,d),u),a.shape)},mean:function(){var e=iS(iS(d,vC(-1)),f);return 1===i.rank&&(e=$T(e,l)),DS(e,i.shape)},variance:function(){var e=iS(iS(m,h),f);return 1===i.rank&&(e=$T(e,l)),DS(e,i.shape)},scale:function(){var t=iS(h,d),n=iS(e,t);return 1===i.rank&&(n=$T(n,l)),DS(n,i.shape)},offset:function(){var t=e;return 1===i.rank&&(t=$T(t,l)),DS(t,i.shape)}}}},CF={kernelName:Uy,inputsToSave:["x","indices"],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.axis,o=Qv(i,r.shape)[0];return{x:function(){var t=r.shape,n=a.size,s=t.slice(0,o),u=s.length,l=t.slice(i,t.length).slice(1),c=l.length,p=RF(0,u),h=RF(u+1,u+1+c),f=AF([s,[n],l]),d=DS(e,f),m=DS(a,[n]),v=AF([[u],p,h]),g=tI(d,v),y=YC(g,m,r.shape[o]),b=sE(v);return y=tI(y,b)},indices:function(){return a}}}};function RF(e,t){for(var n=[],r=e;r<t;++r)n.push(r);return n}function AF(e){for(var t=[],n=0;n<e.length;++n)for(var r=0;r<e[n].length;++r)t.push(e[n][r]);return t}var _F={kernelName:jy,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1];return{a:function(){return yT(n)},b:function(){return yT(r)}}}},FF={kernelName:Hy,gradFunc:function(e){return{x:function(){return FN(e,"float32")}}}},DF={kernelName:Xy,gradFunc:function(e){return{x:function(){return yT(e)}}}},OF={kernelName:Yy,gradFunc:function(e){return{x:function(){return yT(e)}}}},MF={kernelName:Jy,gradFunc:function(e){return{x:function(){return yT(e)}}}},LF={kernelName:Zy,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.alpha,i=FT(r,0);return{x:function(){return gT(i,e,iS(e,a))}}}},zF={kernelName:nb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,nS(n,1))}}}},PF={kernelName:tb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,FN(n,"float32"))}}}},BF={kernelName:ob,inputsToSave:[],outputsToSave:[!0],gradFunc:function(e,t,n){var r=t[0],a=n.axis;return{logits:function(){var t=IT(r);return QT(e,iS($T(e,a,!0),t))}}}};var WF=Tk({localResponseNormalizationBackprop_:function(e,t,n,r,a,i,o){void 0===r&&(r=5),void 0===a&&(a=1),void 0===i&&(i=1),void 0===o&&(o=.5);var s={x:e,y:t,dy:n},u={depthRadius:r,bias:a,alpha:i,beta:o};return dk.runKernel(ub,s,u)}}),UF={kernelName:sb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.depthRadius,o=n.bias,s=n.alpha,u=n.beta;return{x:function(){return WF(r,a,e,i,o,s,u)}}}};function VF(e,t,n,r){return t.rank<n.rank&&(t=DS(t,aE(t.shape,r))),e.rank<n.rank&&(e=DS(e,aE(e.shape,r))),{x:function(){return iS(e,FN(vT(n,t),e.dtype))}}}var GF={kernelName:lb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(e,t,n){var r=n.reductionIndices,a=t[0],i=VF(e,t[1],a,Qv(r,a.shape));return{x:function(){return i.x()}}}},jF={kernelName:cb,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1];return{a:function(){return iS(e,FN(DT(n,r),"float32"))},b:function(){return iS(e,FN(BT(n,r),"float32"))}}}};var HF=Tk({maxPool3dGrad_:function(e,t,n,r,a,i,o){var s=Nk(e,"dy","maxPool3dGrad"),u=Nk(t,"input","maxPool3dGrad"),l=Nk(n,"output","maxPool3dGrad"),c=s,p=u,h=l,f=!1;4===u.rank&&(f=!0,c=DS(s,[1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]]),p=DS(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),h=DS(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),Uv(5===c.rank,(function(){return"Error in maxPool3dGrad: dy must be rank 5 but got rank "+c.rank+"."})),Uv(5===p.rank,(function(){return"Error in maxPool3dGrad: input must be rank 5 but got rank "+p.rank+"."})),Uv(5===h.rank,(function(){return"Error in maxPool3dGrad: output must be rank 5 but got rank "+h.rank+"."})),FS("maxPool3dGrad",i,o);var d={dy:c,input:p,output:h},m={filterSize:r,strides:a,pad:i,dimRoundingMode:o},v=dk.runKernel(db,d,m);return f?DS(v,[v.shape[1],v.shape[2],v.shape[3],v.shape[4]]):v}}),qF={kernelName:fb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.filterSize,o=n.strides,s=n.pad,u=n.dimRoundingMode;return{x:function(){return HF(e,r,a,i,o,s,u)}}}};var KF=Tk({maxPoolGrad_:function(e,t,n,r,a,i,o){var s=Nk(e,"dy","maxPoolGrad"),u=Nk(t,"input","maxPoolGrad"),l=Nk(n,"output","maxPoolGrad");Uv(u.rank===s.rank,(function(){return"Rank of input ("+u.rank+") does not match rank of dy ("+s.rank+")"})),Uv(4===s.rank,(function(){return"Error in maxPoolGrad: dy must be rank 4 but got rank "+s.rank+"."})),Uv(4===u.rank,(function(){return"Error in maxPoolGrad: input must be rank 4 but got rank "+u.rank+"."})),FS("maxPoolGrad",i,o);var c={dy:s,input:u,output:l},p={filterSize:r,strides:a,pad:i,dimRoundingMode:o};return dk.runKernel(hb,c,p)}}),XF={kernelName:_b,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.paddings.map((function(e){return e[0]}));return{x:function(){return PS(e,a,r.shape)}}}},YF={kernelName:ix,gradFunc:function(e,t,n){var r=n.blockShape,a=n.paddings;return{x:function(){return US(e,r,a)}}}},JF={kernelName:ox,gradFunc:function(e,t,n){var r=n.axis;return{x:function(){return LS(e,r)}}}},ZF={kernelName:kx,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.reps;return{x:function(){var t=yT(r);if(1===r.rank)for(var n=0;n<a[0];++n)t=nS(t,PS(e,[n*r.shape[0]],[r.shape[0]]));else if(2===r.rank)for(var i=0;i<a[0];++i)for(var o=0;o<a[1];++o)t=nS(t,PS(e,[i*r.shape[0],o*r.shape[1]],[r.shape[0],r.shape[1]]));else if(3===r.rank)for(var s=0;s<a[0];++s)for(var u=0;u<a[1];++u)for(var l=0;l<a[2];++l)t=nS(t,PS(e,[s*r.shape[0],u*r.shape[1],l*r.shape[2]],[r.shape[0],r.shape[1],r.shape[2]]));else{if(4!==r.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+r.rank+" tensors yet.");for(var c=0;c<a[0];++c)for(var p=0;p<a[1];++p)for(var h=0;h<a[2];++h)for(var f=0;f<a[3];++f)t=nS(t,PS(e,[c*r.shape[0],p*r.shape[1],h*r.shape[2],f*r.shape[3]],[r.shape[0],r.shape[1],r.shape[2],r.shape[3]]))}return t}}}};for(var QF,$F=0,eD=[U_,V_,G_,j_,H_,q_,K_,X_,Y_,J_,Z_,Q_,eF,nF,rF,aF,iF,oF,sF,uF,lF,cF,hF,pF,dF,mF,vF,gF,yF,bF,{kernelName:Ty,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=aS(e,FN(r,"float32")),i=aI(n.shape,a);return i.length>0?DS($T(t,i),n.shape):t},b:function(){var t=iS(e,FN(n,"float32")),i=aI(r.shape,a);i.length>0&&(t=DS($T(t,i),r.shape));var o=TE(r);return XT(aS(t,FN(o,"float32")))}}}},xF,wF,kF,NF,IF,TF,SF,EF,CF,_F,FF,DF,OF,MF,LF,zF,PF,BF,UF,GF,GF,jF,qF,{kernelName:pb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(e,t,n){var r=t[0],a=t[1],i=n.filterSize,o=n.strides,s=n.pad;return{x:function(){return KF(e,r,a,i,o,s)}}}},{kernelName:vb,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=Qv(n.axis,r.shape),i=Hv(rE(r.shape,a)[1]);return{x:function(){var t=r.shape.slice();a.forEach((function(e){t[e]=1}));var n=DS(e,t);return aS(iS(n,xE(r.shape,"float32")),i)}}}},{kernelName:gb,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(e,t,n){var r=n.axis,a=t[0],i=VF(e,t[1],a,Qv(r,a.shape));return{x:function(){return i.x()}}}},{kernelName:yb,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1];return{a:function(){return iS(e,FN(WT(n,r),"float32"))},b:function(){return iS(e,FN(FT(n,r),"float32"))}}}},{kernelName:bb,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=n.paddings.map((function(e){return e[0]}));return{x:function(){return PS(e,a,r.shape)}}}},{kernelName:xb,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=aI(n.shape,a);return t.length>0?DS($T(e,t),n.shape):e},b:function(){var t=iS(e,XT(AT(aS(n,r)))),i=aI(r.shape,a);return i.length>0?DS($T(t,i),r.shape):t}}}},{kernelName:kb,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=iS(e,FN(r,"float32")),i=aI(n.shape,a);return i.length>0?DS($T(t,i),n.shape):t},b:function(){var t=iS(e,FN(n,"float32")),i=aI(r.shape,a);return i.length>0?DS($T(t,i),r.shape):t}}}},{kernelName:Nb,gradFunc:function(e){return{x:function(){return XT(e)}}}},{kernelName:Rb,inputsToSave:["indices"],gradFunc:function(e,t){var n=t[0];return{indices:function(){return bE(n.shape,"float32")}}}},{kernelName:Cb,gradFunc:function(e){return{x:function(){return yT(e)}}}},{kernelName:Ab,saveAllInputs:!0,gradFunc:function(e,t,n){var r=n.axis;return JC(e,r).map((function(e){return function(){return e}}))}},XF,XF,{kernelName:Fb,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:function(e,t){var n=t[0],r=t[1],a=t[2],i=n,o=r,s=iI(i.shape,o.shape);return{a:function(){var t=FN(o,"float32"),n=iS(e,iS(t,WE(i,QT(t,vC(1))))),r=aI(i.shape,s);return r.length>0&&(n=$T(n,r)),DS(n,i.shape)},b:function(){var t=FT(i,0),n=gT(t,GT(i),yT(i)),r=iS(e,iS(a,n)),u=aI(o.shape,s);return u.length>0&&(r=$T(r,u)),DS(r,o.shape)}}}},{kernelName:Db,inputsToSave:["x","alpha"],gradFunc:function(e,t){var n=t[0],r=t[1],a=FT(n,0);return{x:function(){return gT(a,e,iS(e,r))},alpha:function(){var t=gT(a,yT(e),iS(e,n)),i=aI(r.shape,e.shape);return i.length>0&&(t=$T(t,i)),DS(t,r.shape)}}}},{kernelName:zb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,XT(TE(n)))}}}},{kernelName:jb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0],r=iS(WT(n,6),PC(n));return{x:function(){return iS(e,FN(r,"float32"))}}}},{kernelName:Pb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,FN(PC(n),"float32"))}}}},{kernelName:Bb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return DS(e,n.shape)}}}},{kernelName:Vb,inputsToSave:["images"],gradFunc:function(e,t,n){var r={dy:e,images:t[0]};return{images:function(){return dk.runKernel(Gb,r,n)}}}},{kernelName:Wb,inputsToSave:["images"],gradFunc:function(e,t,n){var r={dy:e,images:t[0]};return{images:function(){return dk.runKernel(Ub,r,n)}}}},{kernelName:Hb,gradFunc:function(e,t,n){var r=Qv(n.dims,e.shape);return{x:function(){return lC(e,r)}}}},{kernelName:qb,gradFunc:function(e){return{x:function(){return yT(e)}}}},{kernelName:Kb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return XT(aS(e,iS(WE(n,1.5),2)))}}}},{kernelName:Yb,inputsToSave:["condition"],gradFunc:function(e,t){var n=t[0];return{condition:function(){return FN(yT(n),"float32")},t:function(){return iS(e,FN(n,e.dtype))},e:function(){return iS(e,FN(pE(n),e.dtype))}}}},{kernelName:Jb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){var t=FT(n,vC(0)),r=vC(ZA),a=vC(QA),i=iS(e,a),o=iS(iS(e,r),IT(FN(n,"float32")));return gT(t,i,o)}}}},{kernelName:tx,outputsToSave:[!0],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,iS(n,QT(vC(1),n)))}}}},{kernelName:ex,gradFunc:function(e){return{x:function(){return yT(e)}}}},{kernelName:Qb,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(uT(FN(n,"float32")),e)}}}},{kernelName:$b,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(lT(FN(n,"float32")),e)}}}},{kernelName:Zb,inputsToSave:["x"],gradFunc:function(e,t,n){for(var r=t[0],a=n.begin,i=n.size,o=r.shape,s=DI(r,a,i),u=s[0],l=s[1],c=[],p=0;p<e.rank;p++)c.push([u[p],o[p]-u[p]-l[p]]);return{x:function(){return DE(e,c)}}}},{kernelName:sx,outputsToSave:[!0],gradFunc:function(e,t,n){var r=t[0],a=n.dim,i=iS(e,r);return{logits:function(){return QT(i,iS($T(i,[a],true),r))}}}},{kernelName:nx,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,zS(n))}}}},YF,YF,JF,JF,{kernelName:rx,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,iS(OC(FN(n,"float32")),2))}}}},{kernelName:fx,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=vC(2);return{a:function(){return iS(e,iS(a,QT(n,r)))},b:function(){return iS(e,iS(a,QT(r,n)))}}}},{kernelName:dx,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(e,iS(FN(n,"float32"),2))}}}},{kernelName:Ax,gradFunc:function(e){return{x:function(){return yT(e)}}}},{kernelName:bx,inputsToSave:["a","b"],gradFunc:function(e,t){var n=t[0],r=t[1],a=iI(n.shape,r.shape);return{a:function(){var t=e,r=aI(n.shape,a);return r.length>0&&(t=$T(t,r)),DS(t,n.shape)},b:function(){var t=e,n=aI(r.shape,a);return n.length>0&&(t=$T(t,n)),DS(XT(t),r.shape)}}}},{kernelName:ax,inputsToSave:["x"],gradFunc:function(e,t,n){var r=t[0],a=r.shape.slice();Qv(n.axis,r.shape).forEach((function(e){a[e]=1}));var i=DS(e,a),o=iS(i,xE(r.shape,"float32"));return{x:function(){return o}}}},{kernelName:xx,inputsToSave:["x"],gradFunc:function(e,t){var n=t[0];return{x:function(){return aS(e,TE(uT(n)))}}}},{kernelName:wx,outputsToSave:[!0],gradFunc:function(e,t){var n=t[0];return{x:function(){return iS(QT(vC(1),TE(n)),e)}}}},ZF,{kernelName:Sx,gradFunc:function(e,t,n){var r=sE(n.perm);return{x:function(){return tI(e,r)}}}},{kernelName:Ex,gradFunc:function(e,t,n){var r=n.axis;return{value:function(){return zC(e,r)}}}},{kernelName:Cx,inputsToSave:["segmentIds"],gradFunc:function(e,t){var n=t[0];return{x:function(){return function(e,t){for(var n=gE(t,yT(t)),r=_T(e,n),a=DT(t,vC(0,"int32")),i=r.rank-a.rank,o=0;o<i;++o)a=ST(a,o+1);a=cE(a,xE(r.shape,"bool"));var s=yT(r);return gT(a,r,s)}(e,n)}}}},{kernelName:Rx,gradFunc:function(e){return{x:function(){return yT(e)}}}}];$F<eD.length;$F++){Gx(eD[$F])}function tD(){return null==QF&&(QF=tS().epsilon()),QF}Kw().prototype.abs=function(){return this.throwIfDisposed(),oS(this)},Kw().prototype.acos=function(){return this.throwIfDisposed(),sS(this)},Kw().prototype.acosh=function(){return this.throwIfDisposed(),uS(this)},Kw().prototype.add=function(e){return this.throwIfDisposed(),nS(this,e)},Kw().prototype.all=function(e,t){return this.throwIfDisposed(),cS(this,e,t)},Kw().prototype.any=function(e,t){return this.throwIfDisposed(),pS(this,e,t)},Kw().prototype.argMax=function(e){return this.throwIfDisposed(),hS(this,e)},Kw().prototype.argMin=function(e){return this.throwIfDisposed(),fS(this,e)},Kw().prototype.asScalar=function(){return this.throwIfDisposed(),Uv(1===this.size,(function(){return"The array must have only 1 element."})),DS(this,[])},Kw().prototype.asType=function(e){return this.throwIfDisposed(),FN(this,e)},Kw().prototype.as1D=function(){return this.throwIfDisposed(),DS(this,[this.size])},Kw().prototype.as2D=function(e,t){return this.throwIfDisposed(),DS(this,[e,t])},Kw().prototype.as3D=function(e,t,n){return this.throwIfDisposed(),DS(this,[e,t,n])},Kw().prototype.as4D=function(e,t,n,r){return this.throwIfDisposed(),DS(this,[e,t,n,r])},Kw().prototype.as5D=function(e,t,n,r,a){return this.throwIfDisposed(),DS(this,[e,t,n,r,a])},Kw().prototype.asin=function(){return this.throwIfDisposed(),dS(this)},Kw().prototype.asinh=function(){return this.throwIfDisposed(),mS(this)},Kw().prototype.atan=function(){return this.throwIfDisposed(),vS(this)},Kw().prototype.atan2=function(e){return this.throwIfDisposed(),gS(this,e)},Kw().prototype.atanh=function(){return this.throwIfDisposed(),yS(this)},Kw().prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),OS(this,e,t,n,r)},Kw().prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),US(this,e,t)},Kw().prototype.batchNorm=function(e,t,n,r,a){return this.throwIfDisposed(),VS(this,e,t,n,r,a)},Kw().prototype.broadcastTo=function(e){return this.throwIfDisposed(),XS(this,e)},Kw().prototype.cast=function(e){return this.throwIfDisposed(),FN(this,e)},Kw().prototype.ceil=function(){return this.throwIfDisposed(),YS(this)},Kw().prototype.clipByValue=function(e,t){return this.throwIfDisposed(),JS(this,e,t)},Kw().prototype.concat=function(e,t){return this.throwIfDisposed(),e instanceof qw&&(e=[e]),LS([this].concat(e),t)},Kw().prototype.conv1d=function(e,t,n,r,a,i){return this.throwIfDisposed(),nT(this,e,t,n,r,a,i)},Kw().prototype.conv2dTranspose=function(e,t,n,r,a){return this.throwIfDisposed(),aT(this,e,t,n,r,a)},Kw().prototype.conv2d=function(e,t,n,r,a,i){return this.throwIfDisposed(),tT(this,e,t,n,r,a,i)},Kw().prototype.cos=function(){return this.throwIfDisposed(),uT(this)},Kw().prototype.cosh=function(){return this.throwIfDisposed(),lT(this)},Kw().prototype.cumsum=function(e,t,n){return this.throwIfDisposed(),cT(this,e,t,n)},Kw().prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),hT(this,e,t)},Kw().prototype.depthwiseConv2d=function(e,t,n,r,a,i){return this.throwIfDisposed(),fT(this,e,t,n,r,a,i)},Kw().prototype.dilation2d=function(e,t,n,r,a){return this.throwIfDisposed(),mT(this,e,t,n,r,a)},Kw().prototype.divNoNan=function(e){return this.throwIfDisposed(),bT(this,e)},Kw().prototype.div=function(e){return this.throwIfDisposed(),aS(this,e)},Kw().prototype.dot=function(e){return this.throwIfDisposed(),xT(this,e)},Kw().prototype.elu=function(){return this.throwIfDisposed(),kT(this)},Kw().prototype.equal=function(e){return this.throwIfDisposed(),vT(this,e)},Kw().prototype.erf=function(){return this.throwIfDisposed(),NT(this)},Kw().prototype.exp=function(){return this.throwIfDisposed(),IT(this)},Kw().prototype.expandDims=function(e){return this.throwIfDisposed(),ST(this,e)},Kw().prototype.expm1=function(){return this.throwIfDisposed(),TT(this)},Kw().prototype.fft=function(){return this.throwIfDisposed(),RC(this)},Kw().prototype.flatten=function(){return this.throwIfDisposed(),DS(this,[this.size])},Kw().prototype.floor=function(){return this.throwIfDisposed(),AT(this)},Kw().prototype.floorDiv=function(e){return this.throwIfDisposed(),rS(this,e)},Kw().prototype.gather=function(e,t){return this.throwIfDisposed(),_T(this,e,t)},Kw().prototype.greaterEqual=function(e){return this.throwIfDisposed(),DT(this,e)},Kw().prototype.greater=function(e){return this.throwIfDisposed(),FT(this,e)},Kw().prototype.ifft=function(){return this.throwIfDisposed(),AC(this)},Kw().prototype.irfft=function(){return this.throwIfDisposed(),_C(this)},Kw().prototype.isFinite=function(){return this.throwIfDisposed(),MT(this)},Kw().prototype.isInf=function(){return this.throwIfDisposed(),LT(this)},Kw().prototype.isNaN=function(){return this.throwIfDisposed(),zT(this)},Kw().prototype.leakyRelu=function(e){return this.throwIfDisposed(),PT(this,e)},Kw().prototype.lessEqual=function(e){return this.throwIfDisposed(),WT(this,e)},Kw().prototype.less=function(e){return this.throwIfDisposed(),BT(this,e)},Kw().prototype.localResponseNormalization=function(e,t,n,r){return this.throwIfDisposed(),VT(this,e,t,n,r)},Kw().prototype.logSigmoid=function(){return this.throwIfDisposed(),JT(this)},Kw().prototype.logSoftmax=function(e){return this.throwIfDisposed(),eE(this,e)},Kw().prototype.logSumExp=function(e,t){return this.throwIfDisposed(),lE(this,e,t)},Kw().prototype.log=function(){return this.throwIfDisposed(),GT(this)},Kw().prototype.log1p=function(){return this.throwIfDisposed(),jT(this)},Kw().prototype.logicalAnd=function(e){return this.throwIfDisposed(),cE(this,e)},Kw().prototype.logicalNot=function(){return this.throwIfDisposed(),pE(this)},Kw().prototype.logicalOr=function(e){return this.throwIfDisposed(),hE(this,e)},Kw().prototype.logicalXor=function(e){return this.throwIfDisposed(),fE(this,e)},Kw().prototype.matMul=function(e,t,n){return this.throwIfDisposed(),$N(this,e,t,n)},Kw().prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),dE(this,e,t,n,r)},Kw().prototype.max=function(e,t){return this.throwIfDisposed(),ZT(this,e,t)},Kw().prototype.maximum=function(e){return this.throwIfDisposed(),gE(this,e)},Kw().prototype.mean=function(e,t){return this.throwIfDisposed(),yE(this,e,t)},Kw().prototype.min=function(e,t){return this.throwIfDisposed(),kE(this,e,t)},Kw().prototype.minimum=function(e){return this.throwIfDisposed(),NE(this,e)},Kw().prototype.mirrorPad=function(e,t){return this.throwIfDisposed(),IE(this,e,t)},Kw().prototype.mod=function(e){return this.throwIfDisposed(),SE(this,e)},Kw().prototype.mul=function(e){return this.throwIfDisposed(),iS(this,e)},Kw().prototype.neg=function(){return this.throwIfDisposed(),XT(this)},Kw().prototype.norm=function(e,t,n){return this.throwIfDisposed(),aR(this,e,t,n)},Kw().prototype.notEqual=function(e){return this.throwIfDisposed(),AE(this,e)},Kw().prototype.oneHot=function(e,t,n){return void 0===t&&(t=1),void 0===n&&(n=0),this.throwIfDisposed(),eI(this,e,t,n)},Kw().prototype.onesLike=function(){return this.throwIfDisposed(),_E(this)},Kw().prototype.pad=function(e,t){return this.throwIfDisposed(),DE(this,e,t)},Kw().prototype.pool=function(e,t,n,r,a,i){return this.throwIfDisposed(),BE(this,e,t,n,r,a,i)},Kw().prototype.pow=function(e){return this.throwIfDisposed(),WE(this,e)},Kw().prototype.prelu=function(e){return this.throwIfDisposed(),UE(this,e)},Kw().prototype.prod=function(e,t){return this.throwIfDisposed(),VE(this,e,t)},Kw().prototype.reciprocal=function(){return this.throwIfDisposed(),oC(this)},Kw().prototype.relu=function(){return this.throwIfDisposed(),sC(this)},Kw().prototype.relu6=function(){return this.throwIfDisposed(),uC(this)},Kw().prototype.reshapeAs=function(e){return this.throwIfDisposed(),DS(this,e.shape)},Kw().prototype.reshape=function(e){return this.throwIfDisposed(),DS(this,e)},Kw().prototype.resizeBilinear=function(e,t,n){return this.throwIfDisposed(),QR(this,e,t,n)},Kw().prototype.resizeNearestNeighbor=function(e,t,n){return this.throwIfDisposed(),$R(this,e,t,n)},Kw().prototype.reverse=function(e){return this.throwIfDisposed(),lC(this,e)},Kw().prototype.rfft=function(){return this.throwIfDisposed(),DC(this)},Kw().prototype.round=function(){return this.throwIfDisposed(),dC(this)},Kw().prototype.rsqrt=function(){return this.throwIfDisposed(),mC(this)},Kw().prototype.selu=function(){return this.throwIfDisposed(),gC(this)},Kw().prototype.separableConv2d=function(e,t,n,r,a,i){return this.throwIfDisposed(),yC(this,e,t,n,r,a,i)},Kw().prototype.sigmoid=function(){return this.throwIfDisposed(),zS(this)},Kw().prototype.sign=function(){return this.throwIfDisposed(),wC(this)},Kw().prototype.sin=function(){return this.throwIfDisposed(),kC(this)},Kw().prototype.sinh=function(){return this.throwIfDisposed(),NC(this)},Kw().prototype.slice=function(e,t){return this.throwIfDisposed(),PS(this,e,t)},Kw().prototype.softmax=function(e){return this.throwIfDisposed(),CC(this,e)},Kw().prototype.softplus=function(){return this.throwIfDisposed(),YT(this)},Kw().prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),PE(this,e,t)},Kw().prototype.split=function(e,t){return this.throwIfDisposed(),FC(this,e,t)},Kw().prototype.sqrt=function(){return this.throwIfDisposed(),OC(this)},Kw().prototype.square=function(){return this.throwIfDisposed(),TE(this)},Kw().prototype.squaredDifference=function(e){return this.throwIfDisposed(),MC(this,e)},Kw().prototype.squeeze=function(e){return this.throwIfDisposed(),LC(this,e)},Kw().prototype.stack=function(e,t){this.throwIfDisposed();var n=e instanceof qw?[this,e]:[this].concat(e);return zC(n,t)},Kw().prototype.step=function(e){return this.throwIfDisposed(),PC(this,e)},Kw().prototype.stridedSlice=function(e,t,n,r,a,i,o,s){return this.throwIfDisposed(),BC(this,e,t,n,r,a,i,o,s)},Kw().prototype.sub=function(e){return this.throwIfDisposed(),QT(this,e)},Kw().prototype.sum=function(e,t){return this.throwIfDisposed(),$T(this,e,t)},Kw().prototype.tan=function(){return this.throwIfDisposed(),WC(this)},Kw().prototype.tanh=function(){return this.throwIfDisposed(),BS(this)},Kw().prototype.tile=function(e){return this.throwIfDisposed(),ET(this,e)},Kw().prototype.toBool=function(){return this.throwIfDisposed(),FN(this,"bool")},Kw().prototype.toFloat=function(){return this.throwIfDisposed(),FN(this,"float32")},Kw().prototype.toInt=function(){return this.throwIfDisposed(),FN(this,"int32")},Kw().prototype.topk=function(e,t){return this.throwIfDisposed(),qC(this,e,t)},Kw().prototype.transpose=function(e){return this.throwIfDisposed(),tI(this,e)},Kw().prototype.unique=function(e){return this.throwIfDisposed(),XC(this,e)},Kw().prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),YC(this,e,t)},Kw().prototype.unstack=function(e){return this.throwIfDisposed(),JC(this,e)},Kw().prototype.where=function(e,t){return this.throwIfDisposed(),gT(e,this,t)},Kw().prototype.zerosLike=function(){return this.throwIfDisposed(),yT(this)};var nD=function(e){function t(n){var r;return r=e.call(this,n)||this,Object.setPrototypeOf(Rv(r),t.prototype),r}return Nv(t,e),t}(Cv(Error)),rD=function(e){function t(n){var r;return r=e.call(this,n)||this,Object.setPrototypeOf(Rv(r),t.prototype),r}return Nv(t,e),t}(Cv(Error)),aD=function(e){function t(n){var r;return r=e.call(this,n)||this,Object.setPrototypeOf(Rv(r),t.prototype),r}return Nv(t,e),t}(Cv(Error)),iD=function(e){function t(n){var r;return r=e.call(this,n)||this,Object.setPrototypeOf(Rv(r),t.prototype),r}return Nv(t,e),t}(Cv(Error)),oD=function(e){function t(n){var r;return r=e.call(this,n)||this,Object.setPrototypeOf(Rv(r),t.prototype),r}return Nv(t,e),t}(Cv(Error));Error;function sD(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}var a=new Array(t);return a.fill(e),a}function uD(e,t){if(!e)throw new oD(t)}function lD(e,t){for(var n,r=0,a=Fv(e);!(n=a()).done;){n.value===t&&r++}return r}function cD(e){return 1===e.length?e[0]:e}function pD(e){return Array.isArray(e)?e:[e]}function hD(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,"$1_$2").replace(/([a-z])([A-Z])/g,"$1_$2").toLowerCase();return"_"!==t[0]?t:"private"+t}function fD(e){return e.length<=1||-1===e.indexOf("_")?e:e.replace(/[_]+(\w|$)/g,(function(e,t){return t.toUpperCase()}))}var dD={};function mD(e){if(null==e)return null;var t={};return t.className=e.getClassName(),t.config=e.getConfig(),t}function vD(e){if(null!=e&&"object"==typeof e)if(Array.isArray(e))e.forEach((function(e){return vD(e)}));else for(var t=0,n=Object.keys(e);t<n.length;t++){var r=n[t],a=e[r];null!=a&&"object"==typeof a&&(Array.isArray(a)||"ndarray"!==a.type||"number"!=typeof a.value?vD(a):e[r]=a.value)}}function gD(e,t,n,r,a){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r="object"),void 0===a&&(a=!1),"string"==typeof e){var i,o=e;if(o in n)i=n[o];else if(o in dD)i=dD[o];else if(null==(i=t[o]))throw new aD("Unknown "+r+": "+e+". 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 i}var s=e;if(null==s.className||null==s.config)throw new aD(r+": Improper config format: "+JSON.stringify(s)+".\n'className' and 'config' must set.");var u,l,c=s.className;if(c in n){var p=n[c];u=p[0],l=p[1]}else if(c in dD){var h=dD.className;u=h[0],l=h[1]}else if(c in t){var f=t[c];u=f[0],l=f[1]}if(null==u)throw new aD("Unknown "+r+": "+c+". 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!=l){for(var d={},m=0,v=Object.keys(dD);m<v.length;m++){var g=v[m];d[g]=dD[g]}for(var y=0,b=Object.keys(n);y<b.length;y++){var x=b[y];d[x]=n[x]}s.config.customObjects=d;for(var w=Object.assign({},dD),k=0,N=Object.keys(n);k<N.length;k++){var I=N[k];dD[I]=n[I]}vD(s.config);var S=l(u,s.config,n,a);return dD=Object.assign({},w),S}for(var T=Object.assign({},dD),E=0,C=Object.keys(n);E<C.length;E++){var R=C[E];dD[R]=n[R]}var A=new u(s.config);return dD=Object.assign({},T),A}function yD(e,t){return-1*function(e,t){return e<t?-1:e>t?1:0}(e,t)}function bD(e){if(null==e)return e;for(var t,n=[],r=Fv(e);!(t=r()).done;){var a=t.value;-1===n.indexOf(a)&&n.push(a)}return n}function xD(e){if(null==e)throw new aD("Invalid value in obj: "+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function wD(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new aD(n+" is not a valid "+t+".  Valid values are "+e+" or null/undefined.")}function kD(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),uD(n>=0),uD(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every((function(e){return typeof e===t}))}function ND(e,t){Array.isArray(e)?(Uv(e.length>0,(function(){return t+" is unexpectedly an empty array."})),e.forEach((function(e,n){return ND(e,"element "+(n+1)+" of "+t)}))):Uv(Number.isInteger(e)&&e>0,(function(){return"Expected "+t+" to be a positive integer, but got "+ID(e)+"."}))}function ID(e){return null===e?"null":Array.isArray(e)?"["+e.map((function(e){return ID(e)})).join(",")+"]":"string"==typeof e?'"'+e+'"':""+e}function SD(e){return"relu"===e?"relu":"linear"===e?"linear":"elu"===e?"elu":null}function TD(e,t){return JI((function(){return OC($T(iS(e,e),t,!0))}))}var ED=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.getConfig=function(){return{}},t}(zI),CD=function(e){function t(t){var n;return(n=e.call(this)||this).defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Nv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return JI((function(){var n=TD(e,t.axis),r=JS(n,0,t.maxValue);return iS(e,aS(r,nS(tD(),n)))}))},n.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t}(ED);CD.className="MaxNorm",BI(CD);var RD=function(e){function t(t){var n;return(n=e.call(this)||this).defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Nv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return JI((function(){return aS(e,nS(tD(),TD(e,t.axis)))}))},n.getConfig=function(){return{axis:this.axis}},t}(ED);RD.className="UnitNorm",BI(RD);var AD=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return sC(e)},t}(ED);AD.className="NonNeg",BI(AD);var _D=function(e){function t(t){var n;return(n=e.call(this)||this).defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Nv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return JI((function(){var n=TD(e,t.axis),r=nS(iS(t.rate,JS(n,t.minValue,t.maxValue)),iS(1-t.rate,n));return iS(e,aS(r,nS(tD(),n)))}))},n.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t}(ED);_D.className="MinMaxNorm",BI(_D);var FD={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function DD(e){return mD(e)}function OD(e,t){return void 0===t&&(t={}),gD(e,PI.getMap().classNameMap,t,"constraint")}function MD(e){return null==e?null:"string"==typeof e?OD({className:e in FD?FD[e]:e,config:{}}):e instanceof ED?e:OD(e)}var LD={__proto__:null,maxNorm:function(e){return new CD(e)},unitNorm:function(e){return new RD(e)},nonNeg:function(){return new AD},minMaxNorm:function(e){return new _D(e)}},zD=["channelsFirst","channelsLast"],PD=["nearest","bilinear"],BD=["valid","same","causal"],WD=["max","avg"],UD=["sum","mul","concat","ave"],VD=new Map;function GD(e){wD(zD,"DataFormat",e)}function jD(e){wD(BD,"PaddingMode",e)}function HD(e){wD(WD,"PoolMode",e)}var qD=[];function KD(e,t){qD.push(e);try{var n=t();return qD.pop(),n}catch(e){throw qD.pop(),e}}function XD(e){if(!ZD(e))throw new Error("Not a valid tensor name: '"+e+"'");return(0===qD.length?"":qD.join("/")+"/")+e}function YD(e){if(!ZD(e))throw new Error("Not a valid tensor name: '"+e+"'");VD.has(e)||VD.set(e,0);var t=VD.get(e);if(VD.set(e,VD.get(e)+1),t>0){var n=e+"_"+t;return VD.set(n,1),n}return e}var JD=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function ZD(e){return!!e.match(JD)}function QD(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,a=t;a<n;++a)r*=e[a];return r}function $D(e){if(0===e.length)return Number.NaN;for(var t=Number.POSITIVE_INFINITY,n=0;n<e.length;n++){var r=e[n];r<t&&(t=r)}return t}function eO(e){if(0===e.length)return Number.NaN;for(var t=Number.NEGATIVE_INFINITY,n=0;n<e.length;n++){var r=e[n];r>t&&(t=r)}return t}function tO(e,t){if(t<e)throw new aD("end ("+t+") < begin ("+e+") is forbidden.");for(var n=[],r=e;r<t;++r)n.push(r);return n}function nO(e,t){return FN(e,t)}function rO(e,t){void 0===t&&(t=-1);var n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),DS(e,n)}function aO(e,t,n){return JI((function(){switch(e.rank){case 1:return IC(e,t,n);case 2:return SC(e,[t,0],[n,e.shape[1]]);case 3:return TC(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return EC(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return PS(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);case 6:return PS(e,[t,0,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4],e.shape[5]]);default:throw new aD("sliceAlongFirstAxis() received an unsupported tensor rank: "+e.rank)}}))}function iO(e,t,n){return JI((function(){switch(e.rank){case 1:return IC(e,t,n);case 2:return SC(e,[0,t],[e.shape[0],n]);case 3:return TC(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return EC(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new aD("sliceAlongLastAxis() received an unsupported tensor rank: "+e.rank)}}))}function oO(e,t,n,r){return JI((function(){switch(e.rank){case 1:return IC(e,t,n);case 2:switch(r){case 1:return aO(e,t,n);case 2:return iO(e,t,n);default:throw new aD("The axis is not within the rank of the tensor "+r)}case 3:switch(r){case 1:return aO(e,t,n);case 2:return TC(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return iO(e,t,n);default:throw new aD("The axis is not within the rank of the tensor "+r)}case 4:switch(r){case 1:return aO(e,t,n);case 2:return EC(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return EC(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return iO(e,t,n);default:throw new aD("The axis is not within the rank of the tensor "+r)}default:throw new aD("sliceAlongLastAxis() received an unsupported tensor rank: "+e.rank)}}))}function sO(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),LS(e,t)}function uO(e,t){switch(e.rank){case 1:return ZS([e,t]);case 2:return QS([e,t],0);case 3:return $S([e,t],0);case 4:return eT([e,t],0);default:throw new aD("concatAlongFirstAxis() received an unsupported tensor rank: "+e.rank)}}function lO(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new aD("The length of input n ("+t.length+") does not match the number of dimensions in input x ("+e.rank+")");return ET(e,t)}function cO(e,t,n,r,a){return void 0===t&&(t=0),void 0===n&&(n=1),nC(e,t,n,r,a)}function pO(e,t,n,r){if(e.rank<2||t.rank<2)throw new iD("dot requires both inputs to be rank >= 2 but got x shape = "+e.shape+" and y shape = "+t.shape);if(t.rank>=3&&e.shape.slice(-1)[0]!==t.shape.slice(-2)[0])throw new iD("If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = "+e.shape+" and  y shape = "+t.shape);if(2===e.rank&&2===t.rank){return NR({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?dO(e.rank,r,"channelsLast"):null,activation:n})}var a=e.shape.slice(),i=a.pop();e=DS(e,[-1,i]);var o=t.shape.slice(),s=o.pop(),u=o.pop(),l=[].concat(o,[s]),c=Array.from({length:t.rank},(function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=DS(tI(t,c),[u,-1]);var p=[].concat(a,l);return DS(NR({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?dO(e.rank,r,"channelsLast"):null,activation:n}),p)}function hO(e,t,n){return JI((function(){return t=Array.isArray(t)?UC(t,"int32"):FN(t,"int32"),_T(e,t,n)}))}function fO(e){return iS(e,e)}function dO(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new aD("Unexpected bias dimensions: "+t.rank+"; expected it to be 1 or "+e);if(5===e){if("channelsFirst"===n)return 1===r.length?DS(t,[1,r[0],1,1,1]):DS(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?DS(t,[1,1,1,1,r[0]]):DS(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?DS(t,[1,r[0],1,1]):DS(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?DS(t,[1,1,1,r[0]]):DS(t,[1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?DS(t,[1,r[0],1]):DS(t,[1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?DS(t,[1,1,r[0]]):DS(t,[1].concat(r))}else if(e<3)return t;throw new aD("Unsupported input rank by biasAdd: "+t.rank)}function mO(e,t,n){return JI((function(){return null==n&&(n="channelsLast"),GD(n),nS(e,dO(e.rank,t,n))}))}function vO(e,t,n,r){return JI((function(){return lR(e,t,n,r)}))}function gO(e,t,n){return void 0===n&&(n=!1),n?e():t()}var yO=["fanIn","fanOut","fanAvg"],bO=["normal","uniform","truncatedNormal"];var xO=function(e){function t(){return e.apply(this,arguments)||this}Nv(t,e);var n=t.prototype;return n.fromConfigUsesCustomObjects=function(){return!1},n.getConfig=function(){return{}},t}(zI),wO=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return bE(e,t)},t}(xO);wO.className="Zeros",BI(wO);var kO=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return xE(e,t)},t}(xO);kO.className="Ones",BI(kO);var NO=function(e){function t(t){var n;if(n=e.call(this)||this,"object"!=typeof t)throw new aD("Expected argument of type ConstantConfig but got "+t);if(void 0===t.value)throw new aD("config must have value set but got "+t);return n.value=t.value,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){var n=this;return JI((function(){return iS(vC(n.value),xE(e,t))}))},n.getConfig=function(){return{value:this.value}},t}(xO);NO.className="Constant",BI(NO);var IO=function(e){function t(t){var n;return(n=e.call(this)||this).DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){return rC(e,this.minval,this.maxval,t)},n.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t}(xO);IO.className="RandomUniform",BI(IO);var SO=function(e){function t(t){var n;return(n=e.call(this)||this).DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new iD("randomNormal does not support dType "+t+".");return cO(e,this.mean,this.stddev,t,this.seed)},n.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t}(xO);SO.className="RandomNormal",BI(SO);var TO=function(e){function t(t){var n;return(n=e.call(this)||this).DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new iD("truncatedNormal does not support dType "+t+".");return KC(e,this.mean,this.stddev,t,this.seed)},n.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t}(xO);TO.className="TruncatedNormal",BI(TO);var EO=function(e){function t(t){var n;return(n=e.call(this)||this).gain=null!=t.gain?t.gain:1,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){var n=this;return JI((function(){if(2!==e.length||e[0]!==e[1])throw new aD("Identity matrix initializer can only be used for 2D square matrices.");return iS(n.gain,CT(e[0]))}))},n.getConfig=function(){return{gain:this.gain}},t}(xO);EO.className="Identity",BI(EO);var CO=function(e){function t(t){var n,r;if(n=e.call(this)||this,t.scale<0)throw new aD("scale must be a positive float. Got: "+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=null==t.mode?"fanIn":t.mode,r=n.mode,wD(yO,"FanMode",r),n.distribution=null==t.distribution?"normal":t.distribution,function(e){wD(bO,"Distribution",e)}(n.distribution),n.seed=t.seed,n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){var n=function(e,t){var n,r;if(void 0===t&&(t="channelsLast"),GD(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===t){var a=QD(e,2);n=e[1]*a,r=e[0]*a}else if("channelsLast"===t){var i=QD(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var o=QD(e);n=Math.sqrt(o),r=Math.sqrt(o)}return[n,r]}(e),r=n[0],a=n[1],i=this.scale;if("fanIn"===this.mode?i/=Math.max(1,r):"fanOut"===this.mode?i/=Math.max(1,a):i/=Math.max(1,(r+a)/2),"normal"===this.distribution){var o=Math.sqrt(i);if("float32"!==(t=t||"float32")&&"int32"!==t)throw new iD(this.getClassName()+" does not support dType "+t+".");return KC(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return rC(e,-s,s,t)},n.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t}(xO);CO.className="VarianceScaling",BI(CO);var RO=function(e){function t(t){return e.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);RO.className="GlorotUniform",BI(RO);var AO=function(e){function t(t){return e.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);AO.className="GlorotNormal",BI(AO);var _O=function(e){function t(t){return e.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);_O.className="HeNormal",BI(_O);var FO=function(e){function t(t){return e.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);FO.className="HeUniform",BI(FO);var DO=function(e){function t(t){return e.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);DO.className="LeCunNormal",BI(DO);var OO=function(e){function t(t){return e.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})||this}return Nv(t,e),t.prototype.getClassName=function(){return CO.className},t}(CO);OO.className="LeCunNormal",BI(OO);var MO=function(e){function t(t){var n;if((n=e.call(this)||this).DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new iD("Random seed is not implemented for Orthogonal Initializer yet.");return n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){var n=this;return JI((function(){if(e.length<2)throw new iD("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more than 2000 ("+e[0]*e[1]+") elements: Slowness may result.");var t=cO(e[0]>e[1]?[e[1],e[0]]:e,0,1,"float32"),r=TA.gramSchmidt(t);return e[0]>e[1]&&(r=tI(r)),iS(n.gain,r)}))},n.getConfig=function(){return{gain:this.gain,seed:this.seed}},t}(xO);MO.className="Orthogonal",BI(MO);var LO={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 zO(e,t){return void 0===t&&(t={}),gD(e,PI.getMap().classNameMap,t,"initializer")}function PO(e){return mD(e)}function BO(e){if("string"==typeof e){var t=e in LO?LO[e]:e;if("GlorotNormal"===t)return new AO;if("GlorotUniform"===t)return new RO;if("HeNormal"===t)return new _O;if("HeUniform"===t)return new FO;if("LeCunNormal"===t)return new DO;if("LeCunUniform"===t)return new OO;var n={};return n.className=t,n.config={},zO(n)}return e instanceof xO?e:zO(e)}var WO={__proto__:null,zeros:function(){return new wO},ones:function(){return new kO},constant:function(e){return new NO(e)},randomUniform:function(e){return new IO(e)},randomNormal:function(e){return new SO(e)},truncatedNormal:function(e){return new TO(e)},identity:function(e){return new EO(e)},varianceScaling:function(e){return new CO(e)},glorotUniform:function(e){return new RO(e)},glorotNormal:function(e){return new AO(e)},heNormal:function(e){return new _O(e)},heUniform:function(e){return new FO(e)},leCunNormal:function(e){return new DO(e)},leCunUniform:function(e){return new OO(e)},orthogonal:function(e){return new MO(e)}},UO=0;function VO(){return UO++}var GO={};function jO(e){return void 0===e&&(e=""),e in GO||(GO[e]=0),GO[e]+=1,e+GO[e].toString()}function HO(e){return Array.isArray(e)&&Array.isArray(e[0])}function qO(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function KO(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new aD("Expected Tensor length to be 1; got "+e.length);t=e[0]}else t=e;return t}function XO(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new aD("Expected exactly 1 Shape; got "+e.length)}return e}function YO(e){for(var t,n=0,r=Fv(e);!(t=r()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}return n}var JO="Variable",ZO=function(){function e(e,t,n,r,a){void 0===t&&(t="float32"),void 0===n&&(n=JO),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=VO(),n=null==n?JO:n,this.originalName=XD(n),this.name=YD(this.originalName),this.trainable_=r,this.constraint=a,this.val=ZC(e,this.trainable_,this.name,this.dtype)}var t=e.prototype;return t.read=function(){return this.assertNotDisposed(),this.val},t.write=function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},t.dispose=function(){this.assertNotDisposed(),this.val.dispose()},t.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},kv(e,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function QO(e){return e.map((function(e){return e.read()}))}function $O(e){e.forEach((function(e){e[0].write(e[1])}))}var eM=function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}},tM=function(e,t,n,r,a,i,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=VO(),null!=i&&(this.originalName=XD(i),this.name=YD(this.originalName)),this.rank=t.length},nM=0,rM=function(){function e(e,t){this.callArgs=t,this.id=nM++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n,r=Fv(e.inboundLayers);!(n=r()).done;){var a=n.value;null!=a&&a.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e,t=[],n=Fv(this.inboundLayers);!(e=n()).done;){var r=e.value;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}},e}(),aM=0,iM=function(e){function t(t){var n;void 0===t&&(t={}),(n=e.call(this)||this)._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=aM++,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=t.name;if(!r){var a=n.getClassName();r=hD(a)+"_"+jO(a)}if(n.name=r,n.trainable_=null==t.trainable||t.trainable,null!=t.inputShape||null!=t.batchInputShape){var i;if(null!=t.batchInputShape)i=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),i=[o].concat(t.inputShape)}n.batchInputShape=i;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}Nv(t,e),t.nodeKey=function(e,t){return e.name+"_ib-"+t.toString()};var n=t.prototype;return n.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new rD("The layer has never been called and thus has no defined "+t+".");if(this.inboundNodes.length<=e)throw new aD("Asked to get "+t+" at node "+e+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[e]},n.getInputAt=function(e){return cD(this.getNodeAtIndex(e,"input").inputTensors)},n.getOutputAt=function(e){return cD(this.getNodeAtIndex(e,"output").outputTensors)},n.calculateLosses=function(){return this.losses.map((function(e){return e()}))},n.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},n.assertInputCompatibility=function(e){if(e=pD(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=pD(this.inputSpec);if(e.length!==t.length)throw new aD("Layer "+this.name+" expects "+t.length+" inputs, but it received "+e.length+" input tensors. Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new aD("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new aD("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new aD("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new aD("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new aD("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var p=0;p<a.shape.length;++p){var h=a.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new aD("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape="+r.shape+".")}}}}},n.call=function(e,t){return e},n.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},n.setCallHook=function(e){this._callHook=e},n.clearCallHook=function(){this._callHook=null},n.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r,a=pD(e),i=!0,o=Fv(a);!(r=o()).done;){if(!(r.value instanceof tM)){i=!1;break}}for(var s,u=!0,l=Fv(a);!(s=l()).done;){if(s.value instanceof tM){u=!1;break}}if(i===u)throw new aD("Arguments to apply() must be all SymbolicTensors or all Tensors");return KD(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);for(var r,i=[],o=Fv(pD(e));!(r=o()).done;){var s=r.value;i.push(s.shape)}n.build(cD(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&u&&(n._refCount=1)}if(n.assertInputCompatibility(e),u){for(var l,c=n.call(e,t),p=[],h=Fv(pD(c));!(l=h()).done;){var f=l.value;-1!==a.indexOf(f)&&(f=f.clone()),p.push(f)}if(c=cD(p),null!=n.activityRegularizer)throw new iD("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,m=function(e){e=pD(e);for(var t,n=[],r=Fv(e);!(t=r()).done;){var a=t.value;n.push(a.shape)}return cD(n)}(e),v=n.computeOutputShape(m),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?m[0]:m),d=null!=v&&v.length>0&&Array.isArray(v[0])?v.map((function(r,a){return new tM(g,r,n,pD(e),t,n.name,a)})):new tM(g,v,n,pD(e),t,n.name),n.addInboundNode(e,d,null,null,m,v,t),n._refCount++,null!=n.activityRegularizer)throw new iD("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))},n.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},n.countParams=function(){if(!this.built)throw new rD("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return YO(this.weights)},n.build=function(e){this.built=!0},n.getWeights=function(e){return void 0===e&&(e=!1),QO(e?this.trainableWeights:this.weights)},n.setWeights=function(e){var t=this;JI((function(){var n=t.weights;if(n.length!==e.length)throw new aD('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+e+"...");if(0!==n.length){for(var r=[],a=QO(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!qv(o.shape,u.shape))throw new aD("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}$O(r)}}))},n.addWeight=function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new aD("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():BO("zeros"));var u=r.apply(t,n),l=new ZO(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(l.read())})),null==i&&(i=!0),i?this._trainableWeights.push(l):this._nonTrainableWeights.push(l),l},n.setFastWeightInitDuringBuild=function(e){this.fastWeightInitDuringBuild=e},n.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=pD(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},n.computeOutputShape=function(e){return e},n.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")}))}return null}return t},n.addInboundNode=function(e,t,n,r,a,i,o){void 0===o&&(o=null);var s=pD(e);t=pD(t),n=pD(n),r=pD(r),a=qO(a),i=qO(i);for(var u,l=[],c=[],p=[],h=Fv(s);!(u=h()).done;){var f=u.value;l.push(f.sourceLayer),c.push(f.nodeIndex),p.push(f.tensorIndex)}new rM({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d},n.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},n.disposeWeights=function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length},n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},n.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 e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},kv(t,[{key:"input",get:function(){if(this.inboundNodes.length>1)throw new nD("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 nD("Layer "+this.name+" is not connected, no input to return.");return cD(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new nD("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new nD("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return cD(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new nD("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e,t=[],n=Fv(this.inboundNodes);!(e=n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new nD("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}}]),t}(zI);function oM(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++)for(var o,s=Fv(oM(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));!(o=s()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}return a}var sM,uM=function(e){function t(t){var n;if(n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:jO("input").toString()})||this,null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new aD("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new aD("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new aD("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=t.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var i=new tM(n.dtype,n.batchInputShape,Rv(n),[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new rM({outboundLayer:Rv(n),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}Nv(t,e);var n=t.prototype;return n.apply=function(e,t){throw new aD("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},n.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},n.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t}(iM);function lM(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new aD("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new uM({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function cM(e){return pM.apply(this,arguments)}function pM(){return(pM=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o,s,u,l;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=t){e.next=2;break}return e.abrupt("return");case 2:for(i in n=[],r=[],a=[],t)"number"!=typeof(o=t[i])&&(s=o,n.push(s.data()),r.push(i),a.push(s));if(!(n.length>0)){e.next=12;break}return e.next=9,Promise.all(n);case 9:for(u=e.sent,l=0;l<u.length;++l)t[r[l]]=u[l][0];ZI(a);case 12:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function hM(e){if(null!=e)for(var t in e){var n=e[t];"number"!=typeof n&&n.dispose()}}uM.className="InputLayer",BI(uM),function(e){e[e.SILENT=0]="SILENT",e[e.VERBOSE=1]="VERBOSE"}(sM||(sM={}));var fM=function(){function e(){this.validationData=null}var t=e.prototype;return t.setParams=function(e){this.params=e},t.onEpochBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onTrainBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),t.onTrainEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),t.setModel=function(e){},e}(),dM=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}var t=e.prototype;return t.append=function(e){this.callbacks.push(e)},t.setParams=function(e){for(var t,n=Fv(this.callbacks);!(t=n()).done;){t.value.setParams(e)}},t.setModel=function(e){for(var t,n=Fv(this.callbacks);!(t=n()).done;){t.value.setModel(e)}},t.onEpochBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Fv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Fv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Fv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Fv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onTrainBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Fv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainBegin(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.onTrainEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Fv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainEnd(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}(),mM=function(e){function t(){return e.call(this)||this}Nv(t,e);var n=t.prototype;return n.onEpochBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.seen=0,this.totals={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onBatchEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(i in null==n&&(n={}),r=null==n.size?0:n.size,this.seen+=r,a=function(e){var t=n[e];if("number"==typeof t)o.totals.hasOwnProperty(e)||(o.totals[e]=0),o.totals[e]=o.totals[e]+t*r;else{var a;e in o.totals?a=o.totals[e]:o.totals[e]=0;var i=JI((function(){return nS(o.totals[e],iS(t,r))}));o.totals[e]=i,null!=a&&a.dispose()}},n)a(i);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n){e.next=9;break}r=function(){var e=i.value;if(null==o.totals[e])return"continue";"number"==typeof o.totals[e]?n[e]=o.totals[e]/o.seen:JI((function(){var t=iS(aS(1,o.seen),o.totals[e]);n[e]=t,o.totals[e].dispose(),QI(n[e])}))},a=Fv(this.params.metrics);case 3:if((i=a()).done){e.next=9;break}if("continue"!==r()){e.next=7;break}return e.abrupt("continue",7);case 7:e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t}(fM),vM=function(e){function t(){return e.apply(this,arguments)||this}Nv(t,e);var n=t.prototype;return n.onTrainBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.epoch=[],this.history={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(r in null==n&&(n={}),this.epoch.push(t),n)null==this.history[r]&&(this.history[r]=[]),this.history[r].push(n[r]);case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.syncData=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s,u,l;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a in t=[],n=[],r=[],this.history)for(i=this.history[a],o=0;o<i.length;++o)"number"!=typeof i[o]&&(s=i[o],t.push(s.data()),n.push(a),r.push(o));return e.next=6,Promise.all(t);case 6:for(u=e.sent,l=0;l<u.length;++l)this.history[n[l]][r[l]].dispose(),this.history[n[l]][r[l]]=u[l][0];case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(fM),gM=function(e){function t(t,n){var r;if((r=e.call(this)||this).currentEpoch=0,r.nowFunc=t.nowFunc,r.nextFrameFunc=t.nextFrameFunc||UA,r.yieldEvery=n||"auto","auto"===r.yieldEvery&&(r.yieldEvery=125),"never"===r.yieldEvery&&null!=t.onYield)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. Either change `yieldEvery` or remove the callback");return cg(r.yieldEvery)&&(r.maybeWait=function(e,t,n){var r,a=null!=n?n():_w();return function(){var i=null!=n?n():_w();return i-a<t?r:(a=i,r=e.apply(void 0,arguments))}}(r.maybeWait.bind(Rv(r)),r.yieldEvery,r.nowFunc)),r.trainBegin=t.onTrainBegin,r.trainEnd=t.onTrainEnd,r.epochBegin=t.onEpochBegin,r.epochEnd=t.onEpochEnd,r.batchBegin=t.onBatchBegin,r.batchEnd=t.onBatchEnd,r.yield=t.onYield,r}Nv(t,e);var n=t.prototype;return n.maybeWait=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){var a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=[],null==this.yield){e.next=5;break}return e.next=4,cM(r);case 4:a.push(this.yield(t,n,r));case 5:return a.push(this.nextFrameFunc()),e.next=8,Promise.all(a);case 8:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),n.onEpochBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.currentEpoch=t,null==this.epochBegin){e.next=6;break}return e.next=4,cM(n);case 4:return e.next=6,this.epochBegin(t,n);case 6:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=[],null==this.epochEnd){e.next=5;break}return e.next=4,cM(n);case 4:r.push(this.epochEnd(t,n));case 5:return"epoch"===this.yieldEvery&&r.push(this.nextFrameFunc()),e.next=8,Promise.all(r);case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onBatchBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.batchBegin){e.next=5;break}return e.next=3,cM(n);case 3:return e.next=5,this.batchBegin(t,n);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onBatchEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=[],null==this.batchEnd){e.next=5;break}return e.next=4,cM(n);case 4:r.push(this.batchEnd(t,n));case 5:return"batch"===this.yieldEvery?r.push(this.nextFrameFunc()):cg(this.yieldEvery)&&r.push(this.maybeWait(this.currentEpoch,t,n)),e.next=8,Promise.all(r);case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onTrainBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.trainBegin){e.next=5;break}return e.next=3,cM(t);case 3:return e.next=5,this.trainBegin(t);case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onTrainEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.trainEnd){e.next=5;break}return e.next=3,cM(t);case 3:return e.next=5,this.trainEnd(t);case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t}(fM);function yM(e,t){return null==e&&(e={}),e instanceof fM?[e]:Array.isArray(e)&&e[0]instanceof fM?e:pD(e).map((function(e){return new gM(e,t)}))}var bM=function(){function e(){}return e.registerCallbackConstructor=function(t,n){Uv(t>=0&&Number.isInteger(t),(function(){return"Verbosity level is expected to be an integer >= 0, but got "+t})),e.checkForDuplicate(n),null==e.constructors[t]&&(e.constructors[t]=[]),e.constructors[t].push(n)},e.checkForDuplicate=function(t){for(var n in e.constructors){e.constructors[+n].forEach((function(e){if(e===t)throw new aD("Duplicate callback constructor.")}))}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var a=+r;t>=a&&n.push.apply(n,e.constructors[a])}return n.map((function(e){return new e}))},e}();function xM(e,t,n,r,a,i,o,s,u){var l=new vM,c=[new mM].concat(bM.createCallbacks(t));null!=e&&c.push.apply(c,e),c.push(l);var p=new dM(c);return p.setParams({epochs:n,initialEpoch:r,samples:a,steps:i,batchSize:o,verbose:t,doValidation:s,metrics:u}),{callbackList:p,history:l}}function wM(e,t,n){return void 0===t&&(t={}),void 0===n&&(n=!1),gD(e,PI.getMap().classNameMap,t,"layer",n)}function kM(e,t){return JI((function(){"float32"!==e.dtype&&(e=FN(e,"float32"));var n=$T(fO(e),t,!0),r=RT(n.shape,tD()),a=OC(gE(n,r));return aS(e,a)}))}function NM(e,t){return JI((function(){return yE(fO(QT(t,e)),-1)}))}function IM(e,t){return JI((function(){return yE(oS(QT(t,e)),-1)}))}function SM(e,t){return JI((function(){var n=QT(e,t),r=JS(oS(e),tD(),Number.MAX_VALUE),a=oS(aS(n,r));return iS(100,yE(a,-1))}))}function TM(e,t){return JI((function(){var n=JS(t,tD(),Number.MAX_VALUE),r=GT(nS(1,n)),a=JS(e,tD(),Number.MAX_VALUE),i=GT(nS(1,a));return yE(fO(QT(r,i)),-1)}))}function EM(e,t,n){return void 0===n&&(n=!1),JI((function(){if(n)t=CC(t);else{var r=$T(t,t.shape.length-1,!0);t=aS(t,r)}return t=JS(t,tD(),1-tD()),XT($T(iS(FN(e,"float32"),GT(t)),t.shape.length-1))}))}function CM(e,t,n){return void 0===n&&(n=!1),JI((function(){var r,a,i=FN(AT((a=[QD((r=e).shape)],DS(r,a))),"int32"),o=(t=JS(t,tD(),1-tD())).shape;return EM(DS(eI(i,o[o.length-1]),o),t,n)}))}function RM(e,t){return JI((function(){var n;return n=JS(t,tD(),1-tD()),n=GT(aS(n,QT(1,n))),yE(function(e,t){if(!qv(e.shape,t.shape))throw new aD("logits and labels must have the same shape, but got shapes "+JSON.stringify(e.shape)+" and "+JSON.stringify(t.shape));return JI((function(){var n=sC(t),r=XT(oS(t));return nS(QT(n,iS(t,e)),jT(IT(r)))}))}(e,n),-1)}))}function AM(e,t){return JI((function(){var n=JS(e,tD(),1),r=JS(t,tD(),1);return $T(iS(e,GT(aS(n,r))),-1)}))}function _M(e,t){return JI((function(){var n=kM(e,-1),r=kM(t,-1),a=iS(n,r);return XT($T(a,-1))}))}bM.constructors={};var FM={meanSquaredError:NM,meanAbsoluteError:IM,meanAbsolutePercentageError:SM,meanSquaredLogarithmicError:TM,squaredHinge:function(e,t){return JI((function(){var n=gE(0,QT(1,iS(e,t)));return yE(fO(n),-1)}))},hinge:function(e,t){return JI((function(){var n=gE(0,QT(1,iS(e,t)));return yE(n,-1)}))},categoricalHinge:function(e,t){return JI((function(){var n=$T(iS(e,t),-1),r=ZT(iS(QT(1,e),t),-1);return gE(0,nS(1,QT(r,n)))}))},logcosh:function(e,t){return JI((function(){var n=Math.log(2),r=QT(t,e),a=QT(nS(r,YT(iS(-2,r))),n);return yE(a,-1)}))},categoricalCrossentropy:EM,sparseCategoricalCrossentropy:CM,binaryCrossentropy:RM,kullbackLeiblerDivergence:AM,poisson:function(e,t){return JI((function(){var n=GT(nS(tD(),t));return yE(QT(t,iS(e,n)),-1)}))},cosineProximity:_M};function DM(e){if("string"==typeof e){if(e in FM)return FM[e];var t="Unknown loss "+e;throw e.toLowerCase().includes("softmaxcrossentropy")&&(t="Unknown loss "+e+'. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy'),new aD(t)}return e}function OM(e,t){return JI((function(){var n=iS(.5,_E(t)),r=nO(FT(t,n),e.dtype);return yE(vT(e,r),-1)}))}function MM(e,t){return JI((function(){return nO(vT(hS(e,-1),hS(t,-1)),"float32")}))}function LM(e,t){return JI((function(){return FN($T(cE(vT(e,1),vT(t,1))),"float32")}))}function zM(e,t){return JI((function(){var n=LM(e,t),r=function(e,t){return JI((function(){return FN($T(cE(vT(e,0),vT(t,1))),"float32")}))}(e,t),a=nS(n,r);return FN(gT(FT(a,0),aS(n,a),0),"float32")}))}function PM(e,t){return JI((function(){var n=LM(e,t),r=function(e,t){return JI((function(){return FN($T(cE(vT(e,1),vT(t,0))),"float32")}))}(e,t),a=nS(n,r);return FN(gT(FT(a,0),aS(n,a),0),"float32")}))}function BM(e,t){return RM(e,t)}function WM(e,t){return e.rank===t.rank&&(e=LC(e,[e.rank-1])),(t=hS(t,-1)).dtype!==e.dtype&&(t=FN(t,e.dtype)),FN(vT(e,t),"float32")}var UM=EM,VM=CM,GM={binaryAccuracy:OM,categoricalAccuracy:MM,precision:zM,categoricalCrossentropy:UM,sparseCategoricalCrossentropy:VM,mse:NM,MSE:NM,mae:IM,MAE:IM,mape:SM,MAPE:SM,cosine:_M};function jM(e){if("string"==typeof e&&e in GM)return GM[e];if("string"!=typeof e&&null!=e)return e;throw new aD("Unknown metric "+e)}function HM(e){if(uD(null!==e,"Unknown LossOrMetricFn "+e),"string"==typeof e)return e;for(var t,n=0,r=Object.keys(FM);n<r.length;n++){var a=r[n];if(FM[a]===e){t=a;break}}if(void 0!==t)return t;for(var i=0,o=Object.keys(GM);i<o.length;i++){var s=o[i];if(GM[s]===e){t=s;break}}return void 0!==t?t:e.name}var qM=1048576;function KM(e,t,n){if(void 0===n&&(n=!1),null==e||"object"!=typeof e||Object.getPrototypeOf(e)!==Object.prototype||!XM(e))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(n){var r=JSON.stringify(e);r.length>qM&&console.warn('User-defined metadata of model "'+t+'" is too large in size (length='+r.length+" when serialized). It is not recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= 1048576.")}}function XM(e){if(null===e)return!0;if("object"==typeof e){if(Object.getPrototypeOf(e)===Object.prototype){for(var t=0,n=Object.keys(e);t<n.length;t++){var r=n[t];if("string"!=typeof r)return!1;if(!XM(e[r]))return!1}return!0}if(Array.isArray(e)){for(var a,i=Fv(e);!(a=i()).done;){if(!XM(a.value))return!1}return!0}return!1}var o=typeof e;return"string"===o||"number"===o||"boolean"===o}function YM(e,t,n,r){void 0===r&&(r=console.log);var a,i=function(e){var t=!0,n=[],r=[];for(var a in e.nodesByDepth)n.push(e.nodesByDepth[a]);for(var i=0,o=n;i<o.length;i++){var s=o[i];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var u,l=Fv(e.layers);!(u=l()).done;){for(var c,p=!1,h=Fv(u.value.inboundNodes);!(c=h()).done;){var f=c.value;if(-1!==r.indexOf(f)){if(p){t=!1;break}p=!0}}if(!t)break}return t}(e),o=["Layer (type)","Input Shape","Output shape","Param #"];if(i?(t=t||90,n=n||[.32,.61,.89,1]):(t=t||115,n=n||[.24,.48,.7,.8,1]),n[n.length-1]<=1&&(n=n.map((function(e){return Math.floor(t*e)}))),!i)for(var s in o.push("Receives inputs"),a=[],e.nodesByDepth){var u;(u=a).push.apply(u,e.nodesByDepth[s])}r("_".repeat(t)),JM(o,n,r),r("=".repeat(t));for(var l=e.layers,c=0;c<l.length;++c)i?ZM(l[c],n,r):QM(l[c],n,a,r),r((c===l.length-1?"=":"_").repeat(t));e.checkTrainableWeightsConsistency();var p=function(e){var t;t=null!=e.collectedTrainableWeights?YO(e.collectedTrainableWeights):YO(e.trainableWeights);return t}(e),h=YO(e.nonTrainableWeights);r("Total params: "+(p+h)),r("Trainable params: "+p),r("Non-trainable params: "+h),r("_".repeat(t))}function JM(e,t,n){void 0===n&&(n=console.log);for(var r="",a=0;a<e.length;++a)a>0&&(r=r.slice(0,r.length-1)+" "),r=(r+=e[a]).slice(0,t[a]),r+=" ".repeat(t[a]-r.length);n(r)}function ZM(e,t,n){var r,a;try{a=e.inboundNodes.map((function(e){return JSON.stringify(e.inputShapes)})).join(",")}catch(e){a="multiple"}try{r=JSON.stringify(e.outputShape)}catch(e){r="multiple"}JM([e.name+" ("+e.getClassName()+")",a,r,e.countParams().toString()],t,n)}function QM(e,t,n,r){var a,i;try{i=e.inboundNodes.map((function(e){return JSON.stringify(e.inputShapes)})).join(",")}catch(e){i="multiple"}try{a=JSON.stringify(e.outputShape)}catch(e){a="multiple"}for(var o,s=[],u=Fv(e.inboundNodes);!(o=u()).done;){var l=o.value;if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var c=0;c<l.inboundLayers.length;++c){var p=l.inboundLayers[c].name,h=l.nodeIndices[c],f=l.tensorIndices[c];s.push(p+"["+h+"]["+f+"]")}}var d=e.name,m=e.getClassName(),v=0===s.length?"":s[0];JM([d+" ("+m+")",i,a,e.countParams().toString(),v],t,r);for(var g=1;g<s.length;++g)JM(["","","","",s[g]],t,r)}function $M(e,t,n){return("inboundNodes"===e||"outputLayers"===e||"inputLayers"===e)&&0===t&&"string"==typeof n}function eL(e,t){if(null===e)return null;if("string"==typeof e)return fD(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,a=0;a<r;++a){var i=e[a];$M(t,a,i)?n.push(i):n.push(eL(i,t))}return n}for(var o={},s=0,u=Object.keys(e);s<u.length;s++){var l=u[s],c=e[l];if("name"===l&&"string"==typeof c)o[l]=c;else{var p=fD(l);o[p]=eL(c,p)}}return o}function tL(e,t){if(null==e)return null;if("string"==typeof e)return hD(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,a=0;a<r;++a){var i=e[a];$M(t,a,i)?n.push(i):n.push(tL(i,t))}return n}for(var o={},s=0,u=Object.keys(e);s<u.length;s++){var l=u[s],c=e[l],p=hD(l);o[p]="name"!==l&&"className"!==l||"string"!=typeof c?tL(c,l):c}return o}var nL="3.14.0";var rL=function(){function e(t){if(this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;for(var r,a=Fv(t);!(r=a()).done;){var i=r.value;this.add(i.key,i.value)}}}var t=e.prototype;return t.add=function(e,t,n){if(null!=this.id2Value[e.id])throw new aD("Duplicate key: name="+e.name+", id="+e.id);return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return FN(t,e.dtype)}catch(n){throw new aD("The dtype of the feed ("+t.dtype+") can not be cast to the dtype of the key '"+e.name+"' ("+e.dtype+").")}}(e,t),this.name2Id[e.name]=e.id,null!=n&&(this.id2Mask[e.id]=n),this},t.addFeed=function(e){this.add(e.key,e.value)},t.hasKey=function(e){return null!=this.id2Value[e.id]},t.names=function(){return Object.keys(this.name2Id)},t.getValue=function(e){if(e instanceof tM){if(null==this.id2Value[e.id])throw new aD("Nonexistent key: "+e.name);return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new aD("Feed dict has no SymbolicTensor name: "+e);return this.id2Value[t]},t.getMask=function(e){if(e instanceof tM){if(null==this.id2Value[e.id])throw new aD("Nonexistent key: "+e.name);return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new aD("Feed dict has no SymbolicTensor name: "+e);return this.id2Mask[t]},t.disposeMasks=function(){null!=this.id2Mask&&ZI(this.id2Mask)},e}(),aL={},iL={};function oL(e,t,n,r){for(var a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),l=[],c=t.names(),p=Fv(u);!(a=p()).done;){var h=a.value;-1!==c.indexOf(h)?l.push(t.getValue(h)):l.push(null)}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d,m=u.join(",")+"|"+t.names().join(",");if(null==aL[m]){var v=function(e,t){Uv(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=uL(e[0],t);n=a.sorted,r=a.recipientMap}else for(var i,o=new Set,s=Fv(e);!(i=s()).done;){for(var u,l=uL(i.value,t),c=l.sorted,p=l.recipientMap,h=Fv(c);!(u=h()).done;){var f=u.value;o.has(f.name)||(n.push(f),o.add(f.name))}var d=function(e){null==r[e]&&(r[e]=new Set),p[e].forEach((function(t){return r[e].add(t)}))};for(var m in p)d(m)}return{sorted:n,recipientCounts:sL(r)}}(s,t);f=v.sorted,d=v.recipientCounts,aL[m]=f,iL[m]=d}f=aL[m],d={},i||Object.assign(d,iL[m]);for(var g=new rL(t),y=0;y<f.length;++y){if(null!=r){var b=YI().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=f[y],w=x.sourceLayer;if(!(w instanceof uM)){for(var k,N=[],I=[],S=[],T=!1,E=Fv(x.inputs);!(k=E()).done;){var C=k.value,R=g.getValue(C),A=g.getMask(C);N.push(R),I.push(A),null!=A&&(T=!0),i||(d[C.name]--,0!==d[C.name]||t.hasKey(C)||-1!==u.indexOf(C.name)||R.isDisposed||!0===C.sourceLayer.stateful||S.push(R))}T&&((n=n||{}).mask=I[0]);var _=pD(w.apply(N,n)),F=null;w.supportsMasking&&(F=w.computeMask(N,I));for(var D=lL(x),O=Array.isArray(D)?D:[D],M=0;M<O.length;++M){g.hasKey(O[M])||g.add(O[M],_[M],Array.isArray(F)?F[0]:F);var L=u.indexOf(O[M].name);-1!==L&&(l[L]=_[M])}i||ZI(S)}}return g.disposeMasks(),o?l:l[0]}function sL(e){var t={};for(var n in e)t[n]=e[n].size;return t}function uL(e,t){for(var n,r=new Set,a=[],i={},o=Fv(t.names());!(n=o()).done;){var s=n.value;r.add(s)}var u=[],l=[];for(u.push(e);u.length>0;){var c=u[u.length-1];if(r.has(c.name))u.pop();else{var p=l[l.length-1]===u.length-1;if(0===c.inputs.length||p)u.pop(),a.push(c),r.add(c.name),p&&l.pop();else{l.push(u.length-1);for(var h,f=Fv(c.inputs);!(h=f()).done;){var d=h.value;null==i[d.name]&&(i[d.name]=new Set),i[d.name].add(c.name),r.has(d.name)||u.push(d)}}}}return{sorted:a,recipientMap:i}}function lL(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var a,i=Fv(e.sourceLayer.inboundNodes[r].outputTensors);!(a=i()).done;){if(a.value.id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function cL(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"==typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided "+n+" is an array of "+e.length+" element(s), but the model has "+r+" outputs. Make sure a set of weights is provided for each model output.");return e}if("object"==typeof e&&Object.keys(e).length>0&&"object"==typeof e[Object.keys(e)[0]]){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple ("+r+") outputs, so "+n+" must be either an array with "+r+" elements or an object with "+t+" keys. Provided "+n+" not understood: "+JSON.stringify(e))}function pL(e,t){return cL(e,t,"classWeight")}function hL(e,t,n,r){return fL.apply(this,arguments)}function fL(){return(fL=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=JI((function(){if(1===t.shape.length)return DN(t);if(2===t.shape.length){if(t.shape[1]>1){return hS(t,1)}if(1===t.shape[1])return DS(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+t.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+t.rank+") during handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,o=e.t0.from.call(e.t0,e.t1),ZI(i),s=[],o.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. The class "+e+" exists in the data but not in classWeight");s.push(r[e])})),e.abrupt("return",UC(s,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function dL(e,t){return iS(e,t)}function mL(e,t){var n,r,a=t;n=a.xs,r=a.ys,Uv(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 "+t}));var i=vL("input",e.inputNames,n),o=vL("output",e.outputNames,r),s=i[0].shape[0];Uv(i.length===e.inputs.length,(function(){return"LayersModel has "+e.inputs.length+" inputs, but the dataset provides "+i.length+" inputs.  (Expected input keys: "+JSON.stringify(e.inputNames)+")"})),Uv(o.length===e.outputs.length,(function(){return"LayersModel has "+e.outputs.length+" outputs, but the dataset provides "+o.length+" outputs.  (Expected output keys: "+JSON.stringify(e.outputNames)+")"}));for(var u=function(t){Uv(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+e.inputNames[t]+" has "+i[t].shape[0]+"; expected  "+s+" based on input "+e.inputNames[0]+"."}))},l=0;l<i.length;l++)u(l);for(var c=function(t){Uv(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+e.outputNames[t]+" has "+o[t].shape[0]+"; expected  "+s+" based on input "+e.inputNames[0]+"."}))},p=0;p<o.length;p++)c(p);return{xs:i,ys:o}}function vL(e,t,n){if(n instanceof qw)return[n];if(Array.isArray(n))return Uv(n.length===t.length,(function(){return"Received an array of "+n.length+" Tensors, but expected "+t.length+" to match the "+e+" keys "+t+"."})),n;for(var r,a=[],i=Fv(t);!(r=i()).done;){var o=r.value;if(null==n[o])throw new aD("The feature data generated by the dataset lacks the required "+e+" key '"+o+"'.");a.push(n[o])}return a}function gL(e){if(3===e.length)throw new iD("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function yL(e,t,n){return bL.apply(this,arguments)}function bL(){return(bL=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,E,C,R,A,_,F,D,O,M,L;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,Uv(null!=t.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),Uv(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),Uv(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+r.epochs})),Uv(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+r.batchesPerEpoch})),Uv(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(wL(r.validationData)?Uv(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+r.validationBatches})):(u=gL(r.validationData),o=u.xs,s=u.ys)),l=t.makeTrainFunction(),c=t.getDedupedMetricsNames(),p=i?c.slice().concat(c.map((function(e){return"val_"+e}))):c.slice(),h=yM(r.callbacks,r.yieldEvery),f=null==r.verbose?1:r.verbose,d=xM(h,f,r.epochs,null,null,xL(n,r),null,i,p),m=d.callbackList,v=d.history,m.setModel(t),t.history=v,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,g=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:y=e.sent;case 27:if(!(g<r.epochs)){e.next=98;break}return b={},e.next=31,m.onEpochBegin(g);case 31:if(x=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:y=e.sent;case 37:if(a&&!(x<r.batchesPerEpoch)){e.next=91;break}return e.next=40,y.next();case 40:if(k=e.sent,!a||!k.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+r.batchesPerEpoch+", but your dataset iterator ran out of data after "+x+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+r.batchesPerEpoch*r.epochs+" batches). You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==k.value){e.next=73;break}return N=mL(t,k.value),I=N.xs,S=N.ys,(T={}).batch=w,T.size=I[0].shape[0],e.next=51,m.onBatchBegin(w,T);case 51:if(E=[],null==r.classWeight){e.next=64;break}C=pL(r.classWeight,t.outputNames),R=0;case 55:if(!(R<C.length)){e.next=64;break}return e.t0=E,e.next=59,hL(S[R],null,C[R]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++R,e.next=55;break;case 64:for(A=I.concat(S).concat(E),_=l(A),ZI(A),F=0;F<c.length;++F)D=c[F],O=_[F],T[D]=O,QI(O);return e.next=70,m.onBatchEnd(w,T);case 70:hM(T),w++,x++;case 73:if(!(a?x>=r.batchesPerEpoch:k.done)){e.next=87;break}if(!i){e.next=86;break}if(M=void 0,!wL(r.validationData)){e.next=84;break}return e.t2=pD,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,M=(0,e.t2)(e.t3),e.next=85;break;case 84:M=pD(t.evaluate(o,s,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(L=0;L<t.metricsNames.length;++L)b["val_"+t.metricsNames[L]]=M[L];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(g,b);case 93:if(g++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])})))).apply(this,arguments)}function xL(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function wL(e){return"function"==typeof e.iterator}function kL(e){return"function"==typeof e.next}function NL(e,t,n){return IL.apply(this,arguments)}function IL(){return(IL=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,o=[],!(r.verbose>0)){e.next=6;break}throw new iD("Verbose mode is not implemented yet.");case 6:if(Uv(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(r.batches)})),!kL(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:s=e.t0,u=0,l=0,c=regeneratorRuntime.mark((function e(){var n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=JI((function(){return n.value&&function(){var e=mL(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),c=JI((function(){return i(s)}));if(ZI(s),0===l)for(var p=0;p<c.length;++p)o.push(vC(0));for(var h=s[0].shape[0],f=function(e){var t=c[e],n=o[e];o[e]=JI((function(){return nS(o[e],iS(h,t))})),l>0&&ZI(n)},d=0;d<c.length;++d)f(d);ZI(c),u+=h,++l}(),o})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+r.batches+" batches). You may need to use the repeat() function when building your dataset."),e.abrupt("return","break");case 7:case"end":return e.stop()}}),e)}));case 18:if(a&&!(l<r.batches)){e.next=25;break}return e.delegateYield(c(),"t1",20);case 20:if("break"!==e.t1){e.next=23;break}return e.abrupt("break",25);case 23:e.next=18;break;case 25:for(p=0;p<o.length;++p)h=o[p],o[p]=aS(o[p],u),ZI(h);return e.abrupt("return",cD(o));case 27:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function SL(e){Uv(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got "+e}))}function TL(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return aO(e,t,n-t)})):aO(e,t,n-t)}function EL(e,t){return JI((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return EL(e,t)})):hO(e,"int32"===t.dtype?t:FN(t,"int32"))}))}function CL(e,t){for(var n=[],r=0,a=null;r<e;)(a=r+t)>=e&&(a=e),n.push([r,a]),r=a;return n}function RL(e,t,n,r,a,i,o,s,u,l,c,p,h,f,d){return AL.apply(this,arguments)}function AL(){return(AL=xv(regeneratorRuntime.mark((function e(t,n,r,a,i,o,s,u,l,c,p,h,f,d,m){var v,g,y,b,x,w,k,N;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==i&&(i=32),null==o&&(o=1),null==p&&(p=!0),null==f&&(f=0),v=!1,null!=l&&null!=c&&(v=!0),null==m){e.next=10;break}if(v=!0,null!=d){e.next=10;break}throw new aD("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(g=t.checkNumSamples(r,i,d,"steps_per_epoch"))&&(y=tO(0,g)),null==s&&(s=1),b=xM(u,s,o,f,g,d,i,v,h),x=b.callbackList,w=b.history,x.setModel(t),t.history=w,e.next=18,x.onTrainBegin();case 18:t.stopTraining_=!1,k=regeneratorRuntime.mark((function e(o){var s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,x.onEpochBegin(o);case 2:if(s={},null==d){e.next=7;break}throw new iD("stepsPerEpoch mode is not implemented yet.");case 7:return e.delegateYield(regeneratorRuntime.mark((function e(){var o,u,h,f;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("batch"!==p){e.next=4;break}throw new iD("batch shuffling is not implemneted yet");case 4:p&&Lv(y);case 5:o=UC(y),u=CL(g,i),h=regeneratorRuntime.mark((function e(p){var h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return h={},e.next=3,x.onBatchBegin(p,h);case 3:return JI((function(){var e=u[p][0],f=u[p][1],d=aO(o,e,f-e);h.batch=p,h.size=f-e;for(var m=EL(r,d),g=n(m),y=0;y<a.length;++y){var b=a[y],x=g[y];h[b]=x,QI(x)}if(p===u.length-1&&v)for(var w=t.testLoop(l,c,i),k=0;k<a.length;++k){var N=a[k],I=w[k];QI(I),s["val_"+N]=I}})),e.next=6,x.onBatchEnd(p,h);case 6:if(hM(h),!t.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),f=0;case 9:if(!(f<u.length)){e.next=17;break}return e.delegateYield(h(f),"t0",11);case 11:if("break"!==e.t0){e.next=14;break}return e.abrupt("break",17);case 14:++f,e.next=9;break;case 17:o.dispose();case 18:case"end":return e.stop()}}),e)}))(),"t0",8);case 8:return e.next=10,x.onEpochEnd(o,s);case 10:if(!t.stopTraining_){e.next=12;break}return e.abrupt("return","break");case 12:case"end":return e.stop()}}),e)})),N=f;case 21:if(!(N<o)){e.next=29;break}return e.delegateYield(k(N),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++N,e.next=21;break;case 29:return e.next=31,x.onTrainEnd();case 31:return e.next=33,t.history.syncData();case 33:return e.abrupt("return",t.history);case 34:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function _L(e,t,n,r){return FL.apply(this,arguments)}function FL(){return(FL=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,E;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===a&&(a={}),!t.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return t.isTraining=!0,e.prev=4,SL(d=null==a.batchSize?32:a.batchSize),!1,e.next=10,t.standardizeUserData(n,r,a.sampleWeight,a.classWeight,false,d);case 10:if(m=e.sent,i=m[0],o=m[1],f=m[2],v=!1,!(null!=a.validationData&&a.validationData.length>0)){e.next=36;break}if(v=!0,2!==a.validationData.length){e.next=22;break}l=a.validationData[0],c=a.validationData[1],e.next=27;break;case 22:if(3!==a.validationData.length){e.next=26;break}throw new iD("validationData including sample weights is not supported yet.");case 26:throw new aD("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+a.validationData+" is invalid.");case 27:return!0,e.next=30,t.standardizeUserData(l,c,null,null,true,d);case 30:y=e.sent,p=y[0],h=y[1],g=p.concat(h),e.next=37;break;case 36:null!=a.validationSplit&&a.validationSplit>0&&a.validationSplit<1?(v=!0,b=Math.floor(i[0].shape[0]*(1-a.validationSplit)),x=i[0].shape[0],p=TL(i,b,x),s=i,i=TL(i,0,b),h=TL(o,b,x),u=o,o=TL(o,0,b),g=p.concat(h)):null!=a.validationSteps&&(v=!0);case 37:return w=i.concat(o).concat(f),t.checkTrainableWeightsConsistency(),k=t.makeTrainFunction(),N=t.getDedupedMetricsNames(),v?(t.makeTestFunction(),I=t.testFunction,S=N.slice().concat(N.map((function(e){return"val_"+e})))):(I=null,g=[],S=N.slice()),T=yM(a.callbacks,a.yieldEvery),e.next=45,RL(t,k,w,N,d,a.epochs,a.verbose,T,I,g,a.shuffle,S,a.initialEpoch,null,null);case 45:return E=e.sent,e.abrupt("return",E);case 47:return e.prev=47,t.isTraining=!1,OL(i,n),OL(o,r),OL(s,n),OL(u,r),OL(p,l),OL(h,c),null!=f&&ZI(f),e.finish(47);case 57:case"end":return e.stop()}}),e,null,[[4,,47,57]])})))).apply(this,arguments)}function DL(e){var t=[];e instanceof qw&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(rO(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function OL(e,t){if(null!=e){var n=[];if(t instanceof qw)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof qw)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function ML(e){return Array.isArray(e)}function LL(e){return!function(e){return e instanceof qw}(e)&&!ML(e)}function zL(e,t,n,r,a){if(void 0===r&&(r=!0),void 0===a&&(a=""),null==t||0===t.length){if(null!=e){var i=!1;if(ML(e)&&e.length>0)i=!0;else if(LL(e)){for(var o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new aD("Error when checking model "+a+" expected no data, but got "+e)}return[]}if(null==e)return t.map((function(e){return null}));var s;if(LL(e)){e=e,s=[];for(var u,l=Fv(t);!(u=l()).done;){var c=u.value;if(null==e[c])throw new aD('No data provided for "'+c+'". Need data for each key in: '+t);s.push(e[c])}}else if(ML(e)){if((e=e).length!==t.length)throw new aD("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+t.length+" Tensor(s), but instead got the following list of Tensor(s): "+e);s=e}else{if(e=e,t.length>1)throw new aD("The model "+a+" expects "+t.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+e.shape);s=[e]}if(s=DL(s),null!=n)for(var p=0;p<t.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new aD("Error when checking "+a+": expected "+t[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 aD(a+" expected a batch of elements where each example has shape ["+n[p].slice(1,n[p].length)+"] (i.e.,tensor shape [*,"+n[p].slice(1,n[p].length)+"]) but the "+a+" received an input with "+h.shape[0]+" examples, each with shape ["+h.shape.slice(1,h.shape.length)+"] (tensor shape ["+h.shape+"])")}}return s}function PL(e,t,n,r,a){var i;if(void 0===r&&(r=!0),void 0===a&&(a=""),Array.isArray(e)){if(e.length!==t.length)throw new aD("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see "+t.length+" Tensor(s), but instead got "+e.length+" Tensors(s).");i=e}else{if(t.length>1)throw new aD("The model expects "+t.length+" "+a+" Tensors, but only received one Tensor. Found: array with shape "+JSON.stringify(e.shape)+".");i=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=i[o];if(s.shape.length!==n[o].length)throw new aD("Error when checking "+a+": expected "+t[o]+" to have "+n[o].length+" dimension(s), but got array with shape "+JSON.stringify(s.shape));for(var u=0;u<n[o].length;++u)if(0!==u||r){var l=s.shape[u],c=n[o][u];if(null!=c&&c!==l)throw new aD("Error when checking "+a+": expected "+t[o]+" to have shape "+JSON.stringify(n[o])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var BL=function(e){function t(t){var n;return(n=e.call(this,t)||this).isTraining=!1,n}Nv(t,e);var n=t.prototype;return n.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new aD("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).");YM(this,e,t,n)},n.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,"string"==typeof e.optimizer)this.optimizer_=function(e){var t={Adagrad:function(){return BA.adagrad(.01)},Adadelta:function(){return BA.adadelta(1,.95,tD())},Adam:function(){return BA.adam(.001,.9,.999,tD())},Adamax:function(){return BA.adamax(.002,.9,.999,tD(),0)},RMSProp:function(){return BA.rmsprop(.001,.9,0,tD())},SGD:function(){return BA.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new aD("Unknown Optimizer "+e)}(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof AA))throw new aD("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(e.loss)||"string"==typeof e.loss||"function"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new aD("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="+e.loss+".");var r=e.loss;n=r.map((function(e){return DM(e)}))}else{var a=DM(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new aD('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o,s=Fv(this.outputNames);!(o=s()).done;){var u=o.value;null==e.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(DM(e.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=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],KD("loss",(function(){for(var e=0;e<t.outputs.length;++e)if(-1===h.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}}));var f=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return[]}));var n;if("string"==typeof e||"function"==typeof e)n=[e];else{if(!Array.isArray(e)&&"object"!=typeof e)throw new TypeError("Type of metrics argument not understood. Expected an string,function, Array, or Object, found: "+e);n=e}if(Array.isArray(n))return t.map((function(e){return n}));for(var r,a=[],i=Fv(t);!(r=i()).done;){var o=r.value,s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}(e.metrics,this.outputNames),d=function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+"_"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])};KD("metric",(function(){for(var e=function(e){if(-1!==h.indexOf(e))return"continue";!function(n){for(var r,a,i,o,s=Fv(n);!(o=s()).done;){var u=o.value;if("string"==typeof u&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(u)){var l=t.internalOutputShapes[e];1===l[l.length-1]||t.lossFunctions[e]===RM?-1!==["accuracy","acc"].indexOf(u)?a=OM:-1!==["crossentropy","ce"].indexOf(u)&&(a=BM):t.lossFunctions[e]===CM?-1!==["accuracy","acc"].indexOf(u)?a=WM:-1!==["crossentropy","ce"].indexOf(u)&&(a=VM):-1!==["accuracy","acc"].indexOf(u)?a=MM:-1!==["crossentropy","ce"].indexOf(u)&&(a=UM);var c=void 0;-1!==["accuracy","acc"].indexOf(u)?c="acc":-1!==["crossentropy","ce"].indexOf(u)&&(c="ce"),i=a,r=""+c}else{var p=jM(u);i=p,r=""+HM(u)}var h=void 0;KD(r,(function(){h=i})),d(e,r,h)}}(f[e])},n=0;n<t.outputs.length;++n)e(n)})),this.collectedTrainableWeights=this.trainableWeights},n.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?")},n.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;SL(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return cD(this.testLoop(o,i,r,n.verbose,n.steps))}finally{OL(a[0],e),OL(a[1],t)}},n.evaluateDataset=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",NL(this,t,n));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new aD("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new aD("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},n.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new aD("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new rL;if(e instanceof qw&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new aD("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],e[o])}else for(var s,u=Fv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new aD("No value is provided for the model's input "+l.name);i.add(l,c)}var p=oL(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=sD(null,e.length),r=e.length,a=Fv(this.layers);!(t=a()).done;){for(var i=t.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(n[u]=o[l],r--),0===r)break}if(0===r)break}if(r>0){var c=[];throw n.forEach((function(t,n){null==t&&c.push(e[n])})),new aD("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return n},n.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),JI((function(){var a=r.checkNumSamples(e);if(n)throw new iD("Verbose predictLoop() is not implemented yet.");for(var i=CL(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){JI((function(){var n=i[t][0],a=i[t][1],o=TL(e,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new rL(s);return oL(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return cD(o.map((function(e){return LS(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=DL(e);PL(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return SL(r),this.predictLoop(n,r)}finally{OL(n,e)}},n.predictOnBatch=function(e){PL(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},n.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new rD("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===CM?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=bD(e.map((function(e){return e.shape[0]})));r.sort();var a=bD(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new aD("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new aD("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!qv(r,a))throw new aD("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=zL(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=zL(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[NM,RM,EM],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===EM&&1===i.shape[i.shape.length-1])throw new aD("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new aD("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new aD("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},n.standardizeUserData=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(t,n,i,o),u=s[0],l=s[1],null==r){e.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(c=null,null==a){e.next=18;break}p=pL(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,hL(l[h],null,p[h]);case 13:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 15:++h,e.next=9;break;case 18:return e.abrupt("return",[u,l,c]);case 19:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o){return e.apply(this,arguments)}}(),n.testLoop=function(e,t,n,r,a){var i=this;return void 0===r&&(r=0),JI((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new iD("Verbose mode is not implemented yet.");if(null!=a)throw new iD("steps mode in testLoop() is not implemented yet");for(var u=CL(o,n),l=UC(tO(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=aO(l,p,h-p),d=EL(t,f),m=e(d);if(0===c)for(var v=0;v<m.length;++v)s.push(vC(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=nS(s[g],iS(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=aS(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(lD(e,r)>1)a+="_"+lD(e.slice(0,n),r);t.push(a)}return t},n.makeTrainFunction=function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,l=new rL(t),c=oL(e.outputs,l,{training:!0}),p=0;p<e.lossFunctions.length;++p){var h=(0,e.lossFunctions[p])(a[p],c[p]);null!=i[p]&&(h=dL(h,i[p]));var f=yE(h);n.push(f),u=0===p?h:nS(u,h)}for(var d=0;d<e.metricsTensors.length;++d){var m=void 0;if(e.outputs.length>1&&d<e.outputs.length)m=n[d];else{var v=e.metricsTensors[d][0],g=e.metricsTensors[d][1];m=yE(v(a[g],c[g]))}QI(m),o.push(m)}return u=yE(u),e.calculateLosses().forEach((function(e){u=nS(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return JI((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new rL(o),l=oL(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=yE(p(i[c],l[c]));n=0===c?h:nS(n,h),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],m=e.metricsTensors[f][1],v=yE(d(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r={}),e.abrupt("return",_L(this,t,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",yL(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],l=Fv(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 13:h=e.sent,u.push(h[0]);case 15:e.next=9;break;case 17:return ZI(s),OL(r[0],t),OL(r[1],n),e.abrupt("return",cD(u));case 21:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.getNamedWeights=function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t},n.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=YI().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-YI().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=hD(this.loss);else if(Array.isArray(this.loss)){for(var t,n=Fv(this.loss);!(t=n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map((function(e){return hD(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=hD(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[hD(HM(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return hD(HM(e))}));var e={};for(var t in this.metrics)e[t]=hD(HM(this.metrics[t]));return e},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=wM(eL(e.optimizer_config));if("string"==typeof e.loss)t=fD(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return fD(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=fD(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return fD(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=fD(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=Kk(t)).length){e.next=6;break}throw new aD("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new aD("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new aD("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,_k(this.getNamedWeights(n));case 13:if(a=e.sent,!1,null,i=this.toJSON(null,false),o={modelTopology:i,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v3.14.0",convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=QN,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=u,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,c=l.data,p=l.specs,(s=a.specs).push.apply(s,p),a.data=Bk([a.data,c]);case 34:return null!=this.userDefinedMetadata&&(!0,KM(this.userDefinedMetadata,this.name,true),o.userDefinedMetadata=this.userDefinedMetadata),o.weightData=a.data,o.weightSpecs=a.specs,e.abrupt("return",t.save(o));case 38:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.setUserDefinedMetadata=function(e){KM(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},kv(t,[{key:"stopTraining",get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}}]),t}(function(e){function t(n){var r;if((r=e.call(this,{})||this).containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=jO(a)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],bD(r.inputs).length!==r.inputs.length)throw new aD("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map((function(e){return e.name})));bD(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(e){return e.name}))),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[],r.internalContainerRefs=[];for(var i,o=Fv(r.outputs);!(i=o()).done;){var s=i.value,u=s.sourceLayer,l=s.nodeIndex,c=s.tensorIndex;r.outputLayers.push(u),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(c)}for(var p,h=Fv(r.inputs);!(p=h()).done;){var f=p.value,d=f.sourceLayer,m=f.nodeIndex,v=f.tensorIndex;uD(0===m,"input layer has >1 nodes"),uD(0===v,"input layer has >1 tensors"),r.inputLayers.push(d),r.inputLayersNodeIndices.push(m),r.inputLayersTensorIndices.push(v)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var g=0;g<r.inputLayers.length;g++){var y=r.inputLayers[g];if(!(y instanceof uM))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+g+" (0-based) originates from layer type "+y.getClassName()+".");r.inputNames.push(y.name),r.feedInputShapes.push(y.batchInputShape),r.feedInputNames.push(y.name)}for(var b,x=Fv(r.outputLayers);!(b=x()).done;){var w=b.value;r.outputNames.push(w.name)}r.internalInputShapes=r.inputs.map((function(e){return e.shape})),r.internalOutputShapes=r.outputs.map((function(e){return e.shape}));for(var k,N={},I={},S={},T={},E={},C=[],R=function e(n,a,i,o,s,u){null!=o&&null!=s&&null!=u||(o=n.sourceLayer,s=n.nodeIndex,u=n.tensorIndex);var l=o.inboundNodes[s];if(-1!==i.indexOf(l))throw new rD("The tensor "+n.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===a.indexOf(l)){r.containerNodes.add(t.nodeKey(o,s)),o.id in E||(E[o.id]=Object.keys(E).length),-1===i.indexOf(l)&&i.push(l);for(var c=l.inboundLayers.length,p=0;p<c;p++){e(l.inputTensors[p],a,i,l.inboundLayers[p],l.nodeIndices[p],l.tensorIndices[p])}for(a.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);C.push(l)}},A=[],_=[],F=Fv(r.outputs);!(k=F()).done;){R(k.value,A,_)}for(var D,O=Fv(C.slice().reverse());!(D=O()).done;){var M=D.value;I[M.id]=M,M.id in N||(N[M.id]=0);var L=N[M.id],z=null==S[M.outboundLayer.id]?0:S[M.outboundLayer.id];L=Math.max(L,z),S[M.outboundLayer.id]=L,T[M.outboundLayer.id]=M.outboundLayer,N[M.id]=L;for(var P=0;P<M.inboundLayers.length;P++){var B=M.inboundLayers[P],W=M.nodeIndices[P],U=B.inboundNodes[W],V=null==N[U.id]?0:N[U.id];N[U.id]=Math.max(L+1,V),I[U.id]=U}}var G={};for(var j in N){var H=N[j];H in G||(G[H]=[]),G[H].push(I[j])}var q={};for(var K in S){var X=S[K];X in q||(q[X]=[]),q[X].push(T[K])}var Y=Object.keys(q).map((function(e){return parseInt(e,10)})).sort(yD);r.layers=[];for(var J,Z=Fv(Y);!(J=Z()).done;){var Q=q[J.value];Q.sort((function(e,t){var n=E[e.id],r=E[t.id];return n<r?-1:n>r?1:0}));for(var $,ee=Fv(Q);!($=ee()).done;){var te=$.value;te instanceof t&&r.internalContainerRefs.push(te),r.layers.push(te)}}r.layersByDepth=q,Y=Object.keys(G).map((function(e){return parseInt(e,10)})).sort(yD);for(var ne,re=r.inputs.slice(),ae=[],ie=Fv(Y);!(ne=ie()).done;)for(var oe,se=Fv(G[ne.value]);!(oe=se()).done;){var ue=oe.value,le=ue.outboundLayer;if(null!=le){for(var ce,pe=Fv(ue.inputTensors);!(ce=pe()).done;){var he=ce.value;if(-1===re.indexOf(he))throw new rD("Graph disconnected: cannot obtain value for tensor "+he+' at layer "'+le.name+'". The following previous layers were accessed without issue: '+ae)}for(var fe,de=Fv(ue.outputTensors);!(fe=de()).done;){var me=fe.value;re.push(me)}ae.push(le.name)}}r.nodesByDepth=G;for(var ve,ge=r.layers.map((function(e){return e.name})),ye=function(){var e=ve.value,t=ge.filter((function(t){return t===e})).length;if(1!==t)throw new rD('The name "'+e+'" is used '+t+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ge))},be=Fv(ge);!(ve=be()).done;)ye();return r.outboundNodes=[],r.inboundNodes=[],new rM({outboundLayer:Rv(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map((function(e){return null})),outputMasks:r.outputs.map((function(e){return null})),inputShapes:r.inputs.map((function(e){return e.shape})),outputShapes:r.outputs.map((function(e){return e.shape}))}),r.built=!0,r._refCount=1,r}Nv(t,e);var n=t.prototype;return n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},n.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var t,n=Fv(this.layers);!(t=n()).done;){var r=t.value;e.numDisposedVariables+=r.dispose().numDisposedVariables}for(var a,i=Fv(this.internalContainerRefs);!(a=i()).done;){var o=a.value;e.numDisposedVariables+=o.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},n.loadWeights=function(e,t){void 0===t&&(t=!0);for(var n,r={},a=0,i=Fv(this.layers);!(n=i()).done;)for(var o,s=Fv(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new aD("Duplicate weight name: "+u.originalName);r[u.originalName]=u,a++}var l=[];for(var c in e){var p=c;if(null==r[c]){var h=c.split("/");p=h.slice(0,-2).concat([h[h.length-1]]).join("/")}if(null!=r[p])l.push([r[p],e[c]]);else if(t)throw new aD("Provided weight data has no target variable: "+c);delete r[p]}if(t){var f=[];for(var d in r)f.push(d);if(f.length>0)throw new aD(f.length+" of "+a+" weights are not set: "+f)}$O(l)},n.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers 3.14.0",t.backend="TensorFlow.js",t},n.toJSON=function(e,t){void 0===t&&(t=!0);var n=tL(this.updatedConfig());return t?JSON.stringify(n):n},n.call=function(e,t){var n=this;return JI((function(){e=pD(e);for(var r=new rL,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return oL(n.outputs,r,t)}))},n.computeMask=function(e,t){var n=this;return JI((function(){var r;return e=pD(e),r=null==t?sD(null,e.length):pD(t),n.runInternalGraph(e,r)[1]}))},n.computeOutputShape=function(e){var t=qO(e);if(t.length!==this.inputLayers.length)throw new aD("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(yD);if(o.length>1)for(var s,u=Fv(o);!(s=u()).done;)for(var l,c=s.value,p=Fv(this.nodesByDepth[c]);!(l=p()).done;){var h=l.value,f=h.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],m=0;m<h.inboundLayers.length;m++){var v=h.inboundLayers[m],g=h.nodeIndices[m],y=h.tensorIndices[m],b=n[v.name+"_"+g+"_"+y];d.push(b)}for(var x=qO(f.computeOutputShape(cD(d))),w=f.inboundNodes.indexOf(h),k=0;k<x.length;k++){n[f.name+"_"+w+"_"+k]=x[k]}}}for(var N=[],I=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],E=this.outputLayersNodeIndices[S],C=this.outputLayersTensorIndices[S],R=T.name+"_"+E+"_"+C;I.push(R)}for(var A=0;A<I.length;A++){var _=I[A];uD(_ in n),N.push(n[_])}return cD(N)},n.runInternalGraph=function(e,t){null==t&&(t=sD(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}for(var s,u=Fv(Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(yD));!(s=u()).done;)for(var l,c=s.value,p=Fv(this.nodesByDepth[c]);!(l=p()).done;){for(var h,f=l.value,d=f.outboundLayer,m=f.inputTensors,v=f.outputTensors,g=new Array,y=Fv(m);!(h=y()).done;){var b=h.value;b.id in n&&g.push(n[b.id])}if(g.length===m.length){var x={},w=void 0,k=void 0,N=void 0,I=void 0;if(null!=f.callArgs&&(x=f.callArgs),1===g.length){var S=g[0],T=S[0],E=S[1];null==x.mask&&(x.mask=E),N=pD(d.call(T,x)),I=pD(d.computeMask(T,E)),w=[T],k=[E]}else w=g.map((function(e){return e[0]})),k=g.map((function(e){return e[1]})),null==x.mask&&(x.mask=k),N=pD(d.call(w,x)),I=pD(d.computeMask(w,k));if(d.activityRegularizer)throw new iD("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var C=0;C<v.length;++C){var R=v[C],A=N[C],_=I[C];n[R.id]=[A,_]}}}for(var F,D=[],O=[],M=[],L=Fv(this.outputs);!(F=L()).done;){var z=F.value;uD(z.id in n,"Could not compute output "+z.name+" : "+z.id);var P=n[z.id],B=P[0],W=P[1];M.push(B.shape),D.push(B),O.push(W)}return[D,O,M]},n.buildNodeConversionMap=function(e){for(var n,r,a={},i=Fv(this.layers);!(r=i()).done;){var o=r.value;n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=t.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=n,n+=1)}}return a},n.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new aD("Was asked to retrieve layer at index "+t+", but model only has "+this.layers.length+" layer(s).");return this.layers[t]}if(null==e)throw new aD("Provide either a layer name or layer index");for(var n,r=Fv(this.layers);!(n=r()).done;){var a=n.value;if(a.name===e)return a}throw new aD("No such layer: "+e)},n.calculateLosses=function(){var e=this;return JI((function(){for(var n,r=[],a=Fv(e.layers);!(n=a()).done;)for(var i=n.value,o=0;o<i.inboundNodes.length;++o){var s=t.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,i.calculateLosses())}return r}))},n.getConfig=function(){for(var e,n={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=Fv(this.layers);!(e=i()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),l=[],c=0;c<o.inboundNodes.length;c++){var p=o.inboundNodes[c],h=t.nodeKey(o,c),f={};if(this.containerNodes.has(h)){if(p.callArgs)try{JSON.stringify(p.callArgs),f=p.callArgs}catch(e){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+p.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),f={}}if(p.inboundLayers.length>0){for(var d=[],m=0;m<p.inboundLayers.length;m++){var v=p.inboundLayers[m],g=p.nodeIndices[m],y=p.tensorIndices[m],b=r[t.nodeKey(v,g)];null==b&&(b=0),d.push([v.name,b,y,f])}l.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=l,a.push(x)}n.layers=a;for(var w=[],k=0;k<this.inputLayers.length;k++){var N=this.inputLayers[k],I=this.inputLayersNodeIndices[k],S=t.nodeKey(N,I);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var E=this.inputLayersTensorIndices[k];w.push([N.name,T,E])}}n.inputLayers=w;for(var C=[],R=0;R<this.outputLayers.length;R++){var A=this.outputLayers[R],_=this.outputLayersNodeIndices[R],F=t.nodeKey(A,_);if(this.containerNodes.has(F)){var D=r[F];null==D&&(D=0);var O=this.outputLayersTensorIndices[R];C.push([A.name,D,O])}}return n.outputLayers=C,n},t.fromConfig=function(e,t,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var a={},i={};function o(e,t){e.name in i?i[e.name].push(t):i[e.name]=[t]}function s(e,t){for(var n,r,i=[],s=Fv(t);!(r=s()).done;){var u=r.value,l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in a))return void o(e,t);var h=a[l];if(h.inboundNodes.length<=c)return void o(e,t);var f=h.inboundNodes[c];i.push(f.outputTensors[p])}i.length>0&&e.apply(cD(i),n)}function u(e){var n=e.name,i=wM(e,null!=t.customObjects?t.customObjects:{});i.setFastWeightInitDuringBuild(r),a[n]=i,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new aD("Corrupted configuration, expected array for nodeData: "+e);o(i,e)}))}for(var l,c=t.name,p=t.layers,h=Fv(p);!(l=h()).done;){u(l.value)}for(;!xD(i);)for(var f,d=Fv(p);!(f=d()).done;){var m=f.value,v=a[m.name];if(v.name in i){var g=i[v.name];delete i[v.name];for(var y,b=Fv(g);!(y=b()).done;){s(v,y.value)}}}for(var x,w=[],k=[],N=Fv(t.inputLayers);!(x=N()).done;){var I=x.value,S=I[0],T=I[1],E=I[2];uD(S in a);var C=a[S].inboundNodes[T].outputTensors;w.push(C[E])}for(var R,A=Fv(t.outputLayers);!(R=A()).done;){var _=R.value,F=_[0],D=_[1],O=_[2];uD(F in a);var M=a[F].inboundNodes[D].outputTensors;k.push(M[O])}return new e({inputs:w,outputs:k,name:c})},n.resetStates=function(){var e=this;JI((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))},kv(t,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.layers.forEach((function(t){t._trainableWeights.forEach((function(t){return t.trainable=e}))})),this.trainable_=e}},{key:"trainableWeights",get:function(){if(this._trainableWeights.length>0)throw new aD("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 e,t=[],n=Fv(this.layers);!(e=n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Fv(this.layers);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Fv(this.layers);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){if(this._stateful)throw new aD("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 e,t=Fv(this.layers);!(e=t()).done;){if(e.value.stateful)return!0}return!1}}]),t}(iM));BL.className="Model",BI(BL);var WL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t}(BL);function UL(){return(UL=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(r=(t=t).modelTopology).model_config&&(r=r.model_config),a=eL(r),i=wM(a,n),null==t.weightsManifest){e.next=14;break}return e.next=9,UN(t.weightsManifest,t.pathPrefix,i.weights.map((function(e){return e.originalName})));case 9:for(o=e.sent,s={},u=Fv(i.weights);!(l=u()).done;)c=l.value,s[c.originalName]=o[c.originalName];i.loadWeights(s),ZI(o);case 14:return e.abrupt("return",i);case 15:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function VL(){return(VL=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),"string"!=typeof t){e.next=10;break}if(0!==(r=Xk(t,n)).length){e.next=7;break}r.push(YN(t,n)),e.next=9;break;case 7:if(!(r.length>1)){e.next=9;break}throw new aD("Found more than one ("+r.length+") load handlers for URL '"+t+"'");case 9:t=r[0];case 10:return e.abrupt("return",GL(t,void 0,n));case 11:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function GL(e,t,n){return jL.apply(this,arguments)}function jL(){return(jL=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==r&&(r={}),null!=t.load){e.next=3;break}throw new aD("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");case 3:return e.next=5,t.load();case 5:if(a=e.sent,null!=(i=a.modelTopology).model_config&&(i=i.model_config),o=null==r.strict||r.strict,s=null!=a.weightData&&null!=a.weightSpecs&&o,u=wM(eL(i),n,s),null!=(l=a.trainingConfig)&&u.loadTrainingConfig(l),null!=a.userDefinedMetadata&&u.setUserDefinedMetadata(a.userDefinedMetadata),null==a.weightData){e.next=24;break}if(null!=a.weightSpecs){e.next=17;break}throw new aD("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");case 17:if(c=HL(a.weightData,a.weightSpecs),p=c.modelWeights,h=c.optimizerWeights,u.loadWeights(p,o),!(null!=u.optimizer&&h.length>0)){e.next=22;break}return e.next=22,u.optimizer.setWeights(h);case 22:ZI(p),ZI(h.map((function(e){return e.tensor})));case 24:return e.abrupt("return",u);case 25:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function HL(e,t){var n=Dk(e,t),r={},a=[];return t.forEach((function(e){"optimizer"===e.group?a.push({name:e.name,tensor:n[e.name]}):r[e.name]=n[e.name]})),{modelWeights:r,optimizerWeights:a}}WL.className="Functional",BI(WL);var qL=function(e){function t(t){var n;if(t=t||{},(n=e.call(this,{inputs:[],outputs:[]})||this).trainable=!0,n.built=!1,n.name=null!=t.name?t.name:jO("sequential_"),null!=t.layers)for(var r,a=Fv(t.layers);!(r=a()).done;){var i=r.value;n.add(i)}return n}Nv(t,e);var n=t.prototype;return n.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new aD("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},n.add=function(e){var n,r=e instanceof t||e instanceof BL;if(r){if(1!==(n=e).outputs.length)throw new aD("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 aD("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===e.inboundNodes.length){if(null==e.batchInputShape)throw new aD("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=lM({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new aD("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new aD("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=oM(this.outputs[0])}this.inboundNodes=[],new rM({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:sD(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(e){return e.shape})),outputShapes:this.outputs[0].shape})}else{var i=e.apply(this.outputs[0]);if(Array.isArray(i))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[i],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},n.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 e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},n.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},n.build=function(e){if(XO(e),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 BL({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},n.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},n.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},n.setWeights=function(e){null==this.model&&this.build(),this.model.setWeights(e)},n.evaluate=function(e,t,n){if(void 0===n&&(n={}),!this.built)throw new rD("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)},n.evaluateDataset=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.built){e.next=2;break}throw new rD("The model needs to be compiled before being used.");case 2:return e.abrupt("return",this.model.evaluateDataset(t,n));case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.predict=function(e,t){return void 0===t&&(t={}),null==this.model&&this.build(),this.model.predict(e,t)},n.predictOnBatch=function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)},n.compile=function(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},n.fit=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===r&&(r={}),this.built){e.next=3;break}throw new rD("The model needs to be compiled before being used.");case 3:return e.abrupt("return",this.model.fit(t,n,r));case 4:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.built){e.next=2;break}throw new rD("The model needs to be compiled before being used.");case 2:return e.abrupt("return",this.model.fitDataset(t,n));case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.model.trainOnBatch(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.fromConfig=function(e,n,r,a){var i;void 0===r&&(r={}),void 0===a&&(a=!1);var o={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new aD("Legacy serialization format not supported yet.");i=n}else Uv(null!=n.layers,(function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."})),i=n.layers,delete n.layers,o=n;var s=new e(o);if(!(s instanceof t))throw new iD("Sequential.fromConfig called on non-Sequential input: "+s);for(var u,l=Fv(i);!(u=l()).done;){var c=wM(u.value,undefined,a);a&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},n.getConfig=function(){for(var e,t=[],n=Fv(this.layers);!(e=n()).done;){var r=e.value,a={};a.className=r.getClassName(),a.config=r.getConfig(),t.push(a)}return{name:this.name,layers:t}},kv(t,[{key:"optimizer",get:function(){return null==this.model?void 0:this.model.optimizer},set:function(e){this.model.optimizer=e}},{key:"stopTraining",get:function(){if(null==this.model)throw new aD("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(e){if(null==this.model)throw new aD("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}}]),t}(BL);function KL(e){return lM(e)}qL.className="Sequential",BI(qL);var XL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.getConfig=function(){return{}},t}(zI),YL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),function(e,t){if(void 0===t&&(t=1),1!==t)throw new iD("Support for alpha values other than 1 ("+t+") is not implemented yet.");return kT(e)}(e,t)},t}(XL);YL.className="elu",BI(YL);var JL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return gC(e)},t}(XL);JL.className="selu",BI(JL);var ZL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return sC(e)},t}(XL);ZL.className="relu",BI(ZL);var QL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return JI((function(){return NE(6,sC(e))}))},t}(XL);QL.className="relu6",BI(QL);var $L=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return e},t}(XL);$L.className="linear",BI($L);var ez=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return zS(e)},t}(XL);ez.className="sigmoid",BI(ez);var tz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return function(e){return JI((function(){var t=nS(.5,iS(.2,e));return JS(t,0,1)}))}(e)},t}(XL);tz.className="hardSigmoid",BI(tz);var nz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return YT(e)},t}(XL);nz.className="softplus",BI(nz);var rz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return function(e){return JI((function(){return aS(e,nS(oS(e),1))}))}(e)},t}(XL);rz.className="softsign",BI(rz);var az=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return BS(e)},t}(XL);az.className="tanh",BI(az);var iz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),CC(e,t)},t}(XL);iz.className="softmax",BI(iz);var oz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),eE(e,t)},t}(XL);oz.className="logSoftmax",BI(oz);var sz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),JI((function(){return iS(zS(iS(e,t)),e)}))},t}(XL);sz.className="swish",BI(sz);var uz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e){return JI((function(){return iS(e,BS(YT(e)))}))},t}(XL);function lz(e){return e.getClassName()}function cz(e,t){return void 0===t&&(t={}),gD(e,PI.getMap().classNameMap,t,"activation")}function pz(e){if(null==e){var t={className:"linear",config:{}};return cz(t)}if("string"==typeof e){var n={};return n.className=e,n.config={},cz(n)}return e instanceof XL?e:cz(e)}function hz(e){if(null!=e&&"object"!=typeof e)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+e)}uz.className="mish",BI(uz);var fz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t}(zI),dz=function(e){function t(t){var n;return n=e.call(this)||this,hz(t),n.l1=null==t||null==t.l1?.01:t.l1,n.l2=null==t||null==t.l2?.01:t.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}Nv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return JI((function(){var n=bE([1]);return t.hasL1&&(n=nS(n,$T(iS(t.l1,oS(e))))),t.hasL2&&(n=nS(n,$T(iS(t.l2,fO(e))))),DS(n,[])}))},n.getConfig=function(){return{l1:this.l1,l2:this.l2}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t}(fz);dz.className="L1L2",BI(dz);var mz={l1l2:"L1L2"};function vz(e){return mD(e)}function gz(e,t){return void 0===t&&(t={}),gD(e,PI.getMap().classNameMap,t,"regularizer")}function yz(e){return null==e?null:"string"==typeof e?gz({className:e in mz?mz[e]:e,config:{}}):e instanceof fz?e:gz(e)}var bz=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){e=KO(e);var n=sC(e);return null!=this.maxValue&&(n=JS(n,0,this.maxValue)),n},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);bz.className="ReLU",BI(bz);var xz=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=KO(e);return PT(n,this.alpha)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);xz.className="LeakyReLU",BI(xz);var wz=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA_INITIALIZER="zeros",null==t&&(t={}),n.supportsMasking=!0,n.alphaInitializer=BO(t.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=yz(t.alphaRegularizer),n.alphaConstraint=MD(t.alphaConstraint),null==t.sharedAxes)n.sharedAxes=null;else if(Array.isArray(t.sharedAxes))n.sharedAxes=t.sharedAxes;else{if("number"!=typeof t.sharedAxes)throw new aD("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=XO(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=Fv(this.sharedAxes);!(n=r()).done;){t[n.value-1]=1}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new eM({ndim:e.length,axes:a})],this.built=!0},n.call=function(e,t){return e=KO(e),UE(e,this.alpha.read())},n.getConfig=function(){var t={alphaInitializer:PO(this.alphaInitializer),alphaRegularizer:vz(this.alphaRegularizer),alphaConstraint:DD(this.alphaConstraint),sharedAxes:this.sharedAxes},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);wz.className="PReLU",BI(wz);var kz=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new iD("Non-default alpha value ("+t.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=KO(e);return kT(n)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);kz.className="ELU",BI(kz);var Nz=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=KO(e);return iS(n,FN(FT(n,this.theta),"float32"))},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);Nz.className="ThresholdedReLU",BI(Nz);var Iz=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new iz).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=KO(e);return this.softmax(n,this.axis)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);function Sz(e,t,n){if("number"==typeof e)return sD(e,t);if(e.length!==t)throw new aD("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+e.length+" elements.");for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new aD("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e;var i}function Tz(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function Ez(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+eO([n-t,0]);else{if("same"!==r)throw new aD("Unsupport padding mode: "+r+".");e*=t}return e}function Cz(e,t){return JI((function(){return GD(t),"channelsFirst"===t?tI(e,[0,2,3,1]):e}))}function Rz(e,t){return JI((function(){return GD(t),"channelsFirst"===t?tI(e,[0,2,3,4,1]):e}))}function Az(e,t,n,r,a,i,o){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===o&&(o=1),JI((function(){if(null==i&&(i="channelsLast"),GD(i),3!==e.shape.length)throw new aD("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new aD("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new aD("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===i&&(e=tI(e,[0,2,1])),"causal"===a)throw new iD("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=nT(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=mO(s,n)),s}))}function _z(e,t,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),JI((function(){if(null==i&&(i="channelsLast"),GD(i),3!==e.rank&&4!==e.rank)throw new aD("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new aD("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+e.rank+".");var u=Cz(e,i);if("causal"===a)throw new iD("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=bR({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=tI(u,[0,3,1,2])),u}))}function Fz(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),JI((function(){if(null==i&&(i="channelsLast"),GD(i),4!==e.rank&&5!==e.rank)throw new aD("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new aD("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=Rz(e,i);if("causal"===a)throw new iD("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=iT(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=mO(s,n)),"channelsFirst"===i&&(s=tI(s,[0,4,1,2,3])),s}))}Iz.className="Softmax",BI(Iz);var Dz=function(e){function t(n,r){var a;if((a=e.call(this,r)||this).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyArgs(r),a.rank=n,ND(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new iD("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=Sz(r.kernelSize,n,"kernelSize"),a.strides=Sz(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,jD(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,GD(a.dataFormat),a.activation=pz(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=BO(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=MD(r.biasConstraint),a.biasRegularizer=yz(r.biasRegularizer),a.activityRegularizer=yz(r.activityRegularizer),a.dilationRate=Sz(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new aD("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new aD("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new aD("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Nv(t,e),t.verifyArgs=function(e){if(uD("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!kD(e.kernelSize,"number",1,3))throw new aD("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:lz(this.activation),useBias:this.useBias,biasInitializer:PO(this.biasInitializer),biasRegularizer:vz(this.biasRegularizer),activityRegularizer:vz(this.activityRegularizer),biasConstraint:DD(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM),Oz=function(e){function t(n,r){var a;return(a=e.call(this,n,r)||this).kernel=null,t.verifyArgs(r),a.filters=r.filters,ND(a.filters,"filters"),a.kernelInitializer=BO(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=MD(r.kernelConstraint),a.kernelRegularizer=yz(r.kernelRegularizer),a}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=XO(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new aD("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(t={},t[n]=r,t)}],this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var t;e=KO(e);var r=null==n.bias?null:n.bias.read(),a=SD(n.activation.getClassName());if(null!=a&&2===n.rank)t=_z(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=Az(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=_z(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new iD("convolutions greater than 3D are not implemented yet.");t=Fz(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))},n.computeOutputShape=function(e){e=XO(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=Tz(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i},n.getConfig=function(){var t={filters:this.filters,kernelInitializer:PO(this.kernelInitializer),kernelRegularizer:vz(this.kernelRegularizer),kernelConstraint:DD(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyArgs=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new aD("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(Dz),Mz=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!kD(e.kernelSize,"number",1,2))throw new aD("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(Oz);Mz.className="Conv2D",BI(Mz);var Lz=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new aD("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(Oz);Lz.className="Conv3D",BI(Lz);var zz=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new eM({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new aD("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=XO(e)).length)throw new aD("Input should have rank 4; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new aD("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new eM({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var t=KO(e);if(4!==t.shape.length)throw new aD("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,Ez(s,p,l,n.padding),Ez(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=tI(t,[0,2,3,1]));var d=aT(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=tI(d,[0,3,1,2])),null!=n.bias&&(d=mO(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(e){var t,n,r,a=(e=XO(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=Ez(a[n],s,i,this.padding),a[r]=Ez(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(Mz);zz.className="Conv2DTranspose",BI(zz);var Pz=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new eM({ndim:5})],"same"!==n.padding&&"valid"!==n.padding)throw new aD("Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if(5!==(e=XO(e)).length)throw new aD("Input should have rank 5; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new aD("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new eM({ndim:5,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var t=KO(e);if(5!==t.shape.length)throw new aD("Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],l=o[r],c=o[a],p=n.kernelSize[0],h=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],m=n.strides[1],v=n.strides[2],g=[s,Ez(u,d,p,n.padding),Ez(l,m,h,n.padding),Ez(c,v,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=tI(t,[0,2,3,4,1]));var y=sT(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=tI(y,[0,4,1,2,3])),null!==n.bias&&(y=mO(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))},n.computeOutputShape=function(e){var t,n,r,a,i=(e=XO(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],l=this.strides[0],c=this.strides[1],p=this.strides[2];return i[t]=this.filters,i[n]=Ez(i[n],l,o,this.padding),i[r]=Ez(i[r],c,s,this.padding),i[a]=Ez(i[a],p,u,this.padding),i},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(Lz);Pz.className="Conv3DTranspose",BI(Pz);var Bz=function(e){function t(t,n){var r;if((r=e.call(this,t,n)||this).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new aD("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new aD("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 aD("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=BO(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=yz(n.depthwiseRegularizer),r.depthwiseConstraint=MD(n.depthwiseConstraint),r.pointwiseInitializer=BO(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=yz(n.pointwiseRegularizer),r.pointwiseConstraint=MD(n.pointwiseConstraint),r}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=XO(e)).length<this.rank+2)throw new aD("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new aD("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters);var s=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,s,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,s,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,s,this.biasConstraint):this.bias=null,this.inputSpec=[new eM({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var t;if(e=KO(e),1===n.rank)throw new iD("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=tI(e,[0,2,3,1])),t=yC(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=mO(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=tI(t,[0,3,1,2])),t}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=PO(this.depthwiseInitializer),t.pointwiseInitializer=PO(this.pointwiseInitializer),t.depthwiseRegularizer=vz(this.depthwiseRegularizer),t.pointwiseRegularizer=vz(this.pointwiseRegularizer),t.depthwiseConstraint=DD(this.depthwiseConstraint),t.pointwiseConstraint=DD(this.pointwiseConstraint),t},t}(Oz);Bz.className="SeparableConv";var Wz=function(e){function t(t){return e.call(this,2,t)||this}return Nv(t,e),t}(Bz);Wz.className="SeparableConv2D",BI(Wz);var Uz=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!kD(e.kernelSize,"number",1,1))throw new aD("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(Oz);Uz.className="Conv1D",BI(Uz);var Vz=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},n.call=function(e,t){var n=this;return JI((function(){if(e=KO(e),"channelsLast"===n.dataFormat){var t=oO(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return oO(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=oO(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return oO(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);Vz.className="Cropping2D",BI(Vz);var Gz=function(e){function t(t){var n,r;return(n=e.call(this,t)||this).DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,GD(n.dataFormat),n.interpolation=null==t.interpolation?"nearest":t.interpolation,r=n.interpolation,wD(PD,"InterpolationFormat",r),n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]},n.call=function(e,t){var n=this;return JI((function(){var t=KO(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=tI(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?SA.resizeNearestNeighbor(t,[a,i]):SA.resizeBilinear(t,[a,i]);return tI(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?SA.resizeNearestNeighbor(t,[s,u]):SA.resizeBilinear(t,[s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);Gz.className="UpSampling2D",BI(Gz);var jz=function(e){function t(t){var n;return(n=e.call(this,2,t)||this).depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=BO(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=MD(t.depthwiseConstraint),n.depthwiseRegularizer=yz(t.depthwiseRegularizer),n}Nv(t,e);var n=t.prototype;return n.build=function(e){if((e=XO(e)).length<4)throw new aD("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new aD("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},n.call=function(e,t){var n=this;return JI((function(){e=KO(e);var t,r,a,i,o,s,u=(t=e,r=n.depthwiseKernel.read(),a=n.strides,i=n.padding,o=n.dataFormat,s=null,void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),JI((function(){null==o&&(o="channelsLast"),GD(o);var e=Cz(t,o);if(4!==t.rank)throw new aD("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new aD("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=fT(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=tI(e,[0,3,1,2])),e})));return n.useBias&&(u=mO(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=XO(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=Tz(t,this.kernelSize[0],this.padding,this.strides[0]),i=Tz(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=PO(this.depthwiseInitializer),t.depthwiseRegularizer=vz(this.depthwiseRegularizer),t.depthwiseConstraint=DD(this.depthwiseRegularizer),t},t}(Dz);function Hz(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new aD("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function qz(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),JI((function(){var u=t.shape.length;if(u<3)throw new aD("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(tO(2,u));if(t=tI(t,l),null!=i)throw new iD("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=FN(FN(a,"bool"),"float32")).rank===u-1&&(a=ST(a,-1)),a=tI(a,l)),r&&(t=lC(t,0),null!=a&&(a=lC(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=JC(t);null!=a&&(p=JC(a));for(var v,g=function(t){var n=m[t],r=JI((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=JI((function(){var e=p[t],n=QT(_E(e),e);return{output:nS(iS(r[0],e),iS(f[0],n)),newStates:f.map((function(t,a){return nS(iS(r[1][a],e),iS(t,n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)g(y);if(s){v=zC(h,1)}return[c,v,f]}))}jz.className="DepthwiseConv2D",BI(jz);var Kz=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new aD("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new tP({cells:t.cell}):t.cell).stateSize)throw new aD("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return n.cell=r,n.returnSequences=null!=t.returnSequences&&t.returnSequences,n.returnState=null!=t.returnState&&t.returnState,n.goBackwards=null!=t.goBackwards&&t.goBackwards,n._stateful=null!=t.stateful&&t.stateful,n.unroll=null!=t.unroll&&t.unroll,n.supportsMasking=!0,n.inputSpec=[new eM({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Nv(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?tO(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_},n.setStates=function(e){this.states_=e},n.computeOutputShape=function(e){HO(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a,i=[],o=Fv(t);!(a=o()).done;){var s=a.value;i.push([e[0],s])}return[n].concat(i)}return n},n.computeMask=function(e,t){var n=this;return JI((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))},n.build=function(e){if(null!=this.numConstants)throw new iD("Constants support is not implemented in RNN yet.");HO(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new eM({shape:[t,null].concat(n)});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!qv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new aD("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(e){return new eM({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),JI((function(){if(!n.stateful)throw new nD("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new aD("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(e){return bE([r,e])})):n.states_=[bE([r,n.cell.stateSize])];else if(null==e)ZI(n.states_),null!=n.keptStates&&(ZI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return bE([r,e])})):n.states_[0]=bE([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new aD("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states_.slice()):ZI(n.states_);for(var a=0;a<n.states_.length;++a){var i=e[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!qv(i.shape,s))throw new aD("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map((function(e){return QI(e.clone())}))}))},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Hz(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u,l=Fv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new eM({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof tM){var p=[t].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=e.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return JI((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=KO(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new aD("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=qz((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h}))},n.getInitialState=function(e){var t=this;return JI((function(){var n=bE(e.shape);return n=rO(n=$T(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?lO(n,[1,e]):n})):t.cell.stateSize>1?[lO(n,[1,t.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var n=e.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(r.numConstants=this.numConstants);var a=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:a}),Object.assign({},a,n,r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=wM(t.cell,n);return new e(Object.assign(t,{cell:r}))},kv(t,[{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),t}(iM);Kz.className="RNN",BI(Kz);var Xz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t}(iM),Yz=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,ND(n.units,"units"),n.activation=pz(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=BO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=BO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=BO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=yz(t.kernelRegularizer),n.recurrentRegularizer=yz(t.recurrentRegularizer),n.biasRegularizer=yz(t.biasRegularizer),n.kernelConstraint=MD(t.kernelConstraint),n.recurrentConstraint=MD(t.recurrentConstraint),n.biasConstraint=MD(t.biasConstraint),n.dropout=$D([1,eO([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=$D([1,eO([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){e=XO(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},n.call=function(e,t){var n=this;return JI((function(){if(2!==(e=e).length)throw new aD("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nP({ones:function(){return _E(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nP({ones:function(){return _E(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=pO(null!=o?iS(e,o):e,n.kernel.read()),null!=n.bias&&(a=mO(a,n.bias.read())),null!=s&&(r=iS(r,s));var u=nS(a,pO(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:lz(this.activation),useBias:this.useBias,kernelInitializer:PO(this.kernelInitializer),recurrentInitializer:PO(this.recurrentInitializer),biasInitializer:PO(this.biasInitializer),kernelRegularizer:vz(this.kernelRegularizer),recurrentRegularizer:vz(this.recurrentRegularizer),biasRegularizer:vz(this.biasRegularizer),activityRegularizer:vz(this.activityRegularizer),kernelConstraint:DD(this.kernelConstraint),recurrentConstraint:DD(this.recurrentConstraint),biasConstraint:DD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,n)},t}(Xz);Yz.className="SimpleRNNCell",BI(Yz);var Jz=function(e){function t(t){return t.cell=new Yz(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return JI((function(){null!=r.cell.dropoutMask&&(ZI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return new e(t)},t}(Kz);Jz.className="SimpleRNN",BI(Jz);var Zz=function(e){function t(t){var n;if((n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new aD("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,ND(n.units,"units"),n.activation=pz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=pz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=BO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=BO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=BO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=yz(t.kernelRegularizer),n.recurrentRegularizer=yz(t.recurrentRegularizer),n.biasRegularizer=yz(t.biasRegularizer),n.kernelConstraint=MD(t.kernelConstraint),n.recurrentConstraint=MD(t.recurrentConstraint),n.biasConstraint=MD(t.biasConstraint),n.dropout=$D([1,eO([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=$D([1,eO([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=XO(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},n.call=function(e,t){var n=this;return JI((function(){if(2!==(e=e).length)throw new aD("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nP({ones:function(){return _E(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nP({ones:function(){return _E(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=iS(e,u[0]));var c=pO(e,n.kernel.read());n.useBias&&(c=mO(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=iS(a,l[0]));var p=n.recurrentKernel.read(),h=FC(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=pO(a,f),v=FC(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=FC(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(nS(g,w)),o=n.recurrentActivation.apply(nS(y,k));var N=pO(iS(o,a),d);s=n.activation.apply(nS(b,N));var I=nS(iS(i,a),iS(nS(1,XT(i)),s));return[I,I]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:lz(this.activation),recurrentActivation:lz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:PO(this.kernelInitializer),recurrentInitializer:PO(this.recurrentInitializer),biasInitializer:PO(this.biasInitializer),kernelRegularizer:vz(this.kernelRegularizer),recurrentRegularizer:vz(this.recurrentRegularizer),biasRegularizer:vz(this.biasRegularizer),activityRegularizer:vz(this.activityRegularizer),kernelConstraint:DD(this.kernelConstraint),recurrentConstraint:DD(this.recurrentConstraint),biasConstraint:DD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},t,n)},t}(Xz);Zz.className="GRUCell",BI(Zz);var Qz=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Zz(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return JI((function(){null!=r.cell.dropoutMask&&(ZI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(Kz);Qz.className="GRU",BI(Qz);var $z=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,ND(n.units,"units"),n.activation=pz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=pz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=BO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=BO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=BO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=yz(t.kernelRegularizer),n.recurrentRegularizer=yz(t.recurrentRegularizer),n.biasRegularizer=yz(t.biasRegularizer),n.kernelConstraint=MD(t.kernelConstraint),n.recurrentConstraint=MD(t.recurrentConstraint),n.biasConstraint=MD(t.biasConstraint),n.dropout=$D([1,eO([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=$D([1,eO([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=XO(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new((t=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new kO).apply([i]),o=a.apply([2*i]);return uO(uO(n,r),o)},t}(xO)).className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new aD("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nP({ones:function(){return _E(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nP({ones:function(){return _E(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=iS(e,c[0]));var h=pO(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=iS(a,p[0])),h=nS(h,pO(a,n.recurrentKernel.read())),n.useBias&&(h=mO(h,n.bias.read()));var f=FC(h,4,h.rank-1),d=f[0],m=f[1],v=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=nS(iS(s,i),iS(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=iS(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:lz(this.activation),recurrentActivation:lz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:PO(this.kernelInitializer),recurrentInitializer:PO(this.recurrentInitializer),biasInitializer:PO(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:vz(this.kernelRegularizer),recurrentRegularizer:vz(this.recurrentRegularizer),biasRegularizer:vz(this.biasRegularizer),activityRegularizer:vz(this.activityRegularizer),kernelConstraint:DD(this.kernelConstraint),recurrentConstraint:DD(this.recurrentConstraint),biasConstraint:DD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},t,n)},t}(Xz);$z.className="LSTMCell",BI($z);var eP=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new $z(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return JI((function(){null!=r.cell.dropoutMask&&(ZI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(Kz);eP.className="LSTM",BI(eP);var tP=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return JI((function(){for(var r,a=(e=e).slice(1),i=[],o=Fv(n.cells.slice().reverse());!(r=o()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c){var p=n.cells[c];a=i[c],u=0===c?[e[0]].concat(a):[u[0]].concat(a),u=p.call(u,t),l.push(u.slice(1))}a=[];for(var h,f=Fv(l.slice().reverse());!(h=f()).done;){var d,m=h.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;HO(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){KD("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign({},t,n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=Fv(t.cells);!(r=i()).done;){var o=r.value;a.push(wM(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=Fv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return QO(t)},n.setWeights=function(e){for(var t,n=[],r=Fv(this.cells);!(t=r()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]]);$O(n)},kv(t,[{key:"stateSize",get:function(){for(var e,t=[],n=Fv(this.cells.slice().reverse());!(e=n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];for(var e,t=[],n=Fv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Fv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Fv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(Xz);function nP(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):vO(t(),n)},l=function(){return gO(u,t,a)};return!o||o<=1?QI(l().clone()):Array(o).fill(void 0).map(l).map((function(e){return QI(e.clone())}))}tP.className="StackedRNNCells",BI(tP);var rP=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},aP=function(e){function t(t){var n;if(t.unroll)throw new iD("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new iD("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new eM({ndim:5})],n}Nv(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return JI((function(){if(null!=r.cell.dropoutMask&&(ZI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ZI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new aD("ConvRNN2D cell does not support constants");var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},n.computeOutputShape=function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(t.slice(2))),this.returnState&&(t=[t].concat(Array(2).fill([e[0]].concat(t.slice(-3))))),t},n.getInitialState=function(e){var t=this;return JI((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=bE([a[0]].concat(a.slice(2)));return Array.isArray(n)?Array(n.length).fill(i):[i]}))},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),JI((function(){if(!n.stateful)throw new nD("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape,a=n.computeSingleOutputShape(r),i=[a[0]].concat(a.slice(2));if(null==r[0])throw new aD("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.getStates())Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return bE(i)})):n.states_=[bE(i)];else if(null==e)ZI(n.states_),null!=n.keptStates&&(ZI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return bE(i)})):n.states_[0]=bE(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new aD("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);t?n.keptStates.push(n.states_.slice()):ZI(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!qv(s.shape,u))throw new aD("State "+o+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+s.shape);n.states_[o]=s}}n.states_=n.states_.map((function(e){return QI(e.clone())}))}))},n.computeSingleOutputShape=function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,l=e[u?3:2],c=e[u?4:3],p=Tz(l,a[0],i,o[0],s[0]),h=Tz(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(Kz);aP.className="ConvRNN2D";var iP=function(e){function t(t){var n,r=t.filters,a=t.kernelSize,i=t.strides,o=t.padding,s=t.dataFormat,u=t.dilationRate;return(n=e.call(this,Object.assign({},t,{units:r}))||this).filters=r,ND(n.filters,"filters"),n.kernelSize=Sz(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return ND(e,"kernelSize")})),n.strides=Sz(i||1,2,"strides"),n.strides.forEach((function(e){return ND(e,"strides")})),n.padding=o||"valid",jD(n.padding),n.dataFormat=s||"channelsLast",GD(n.dataFormat),n.dilationRate=Sz(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return ND(e,"dilationRate")})),n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=XO(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new aD("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new((t=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return sO([s.apply([u]),xE([u]),s.apply([2*u])])},t}(xO)).className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},n.call=function(e,t){var n=this;return JI((function(){if(3!==e.length)throw new aD("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=nP({ones:function(){return _E(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?iS(t[n],e):e},l=u(a,s,0),c=u(a,s,1),p=u(a,s,2),h=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=nP({ones:function(){return _E(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),m=u(i,f,1),v=u(i,f,2),g=u(i,f,3),y=FC(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?FC(n.bias.read(),4):[null,null,null,null],I=N[0],S=N[1],T=N[2],E=N[3];l=n.inputConv(l,b,I,n.padding),c=n.inputConv(c,x,S,n.padding),p=n.inputConv(p,w,T,n.padding),h=n.inputConv(h,k,E,n.padding);var C=FC(n.recurrentKernel.read(),4,3),R=C[0],A=C[1],_=C[2],F=C[3];d=n.recurrentConv(d,R),m=n.recurrentConv(m,A),v=n.recurrentConv(v,_),g=n.recurrentConv(g,F);var D=n.recurrentActivation.apply(nS(l,d)),O=n.recurrentActivation.apply(nS(c,m)),M=nS(iS(O,o),iS(D,n.activation.apply(nS(p,v)))),L=iS(n.recurrentActivation.apply(nS(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,rP(t,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,r)},n.inputConv=function(e,t,n,r){var a=tT(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?mO(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return tT(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}($z);iP.className="ConvLSTM2DCell",BI(iP);var oP=function(e){function t(t){var n=new iP(t);return e.call(this,Object.assign({},t,{cell:n}))||this}return Nv(t,e),t.fromConfig=function(e,t){return new e(t)},t}(aP);oP.className="ConvLSTM2D",BI(oP);var sP=function(e){function t(t){var n;return(n=e.call(this,t)||this).rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return gO((function(){return vO(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))},n.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.dispose=function(){return e.prototype.dispose.call(this)},t}(iM);sP.className="Dropout",BI(sP);var uP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return Nv(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(sP);uP.className="SpatialDropout1D",BI(uP);var lP=function(e){function t(t){var n;if((n=e.call(this,t)||this).activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,ND(n.units,"units"),n.activation=pz(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=BO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=BO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=MD(t.kernelConstraint),n.biasConstraint=MD(t.biasConstraint),n.kernelRegularizer=yz(t.kernelRegularizer),n.biasRegularizer=yz(t.biasRegularizer),n.activityRegularizer=yz(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=XO(e))[e.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:(t={},t[-1]=n,t)}],this.built=!0},n.computeOutputShape=function(e){var t=(e=XO(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r,a=KO(e),i=SD(n.activation.getClassName());return null!=i?r=pO(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=pO(a,n.kernel.read()),null!=n.bias&&(r=mO(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:lz(this.activation),useBias:this.useBias,kernelInitializer:PO(this.kernelInitializer),biasInitializer:PO(this.biasInitializer),kernelRegularizer:vz(this.kernelRegularizer),biasRegularizer:vz(this.biasRegularizer),activityRegularizer:vz(this.activityRegularizer),kernelConstraint:DD(this.kernelConstraint),biasConstraint:DD(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);lP.className="Dense",BI(lP);var cP=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=Fv((e=XO(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new aD('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],QD(e,1)]},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=tI(r,a)}return function(e){if(e.rank<=1)throw new aD("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],QD(e.shape,1)];return DS(e,t)}(r)}))},n.getConfig=function(){var t={};null!=this.dataFormat&&(t.dataFormat=this.dataFormat);var n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);cP.className="Flatten",BI(cP);var pP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.activation=pz(t.activation),n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);return n.activation.apply(r)}))},n.getConfig=function(){var t={activation:lz(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);pP.className="Activation",BI(pP);var hP=function(e){function t(t){var n;return(n=e.call(this,t)||this).n=t.n,n.inputSpec=[{ndim:2}],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],this.n,e[1]]},n.call=function(e,t){var n=this;return JI((function(){return e=KO(e),t=e,r=n.n,JI((function(){if(2!==t.shape.length)throw new aD("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return lO(rO(t,1),[1,r,1])}));var t,r}))},n.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);hP.className="RepeatVector",BI(hP);var fP=function(e){function t(t){var n;(n=e.call(this,t)||this).targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}Nv(t,e);var n=t.prototype;return n.isUnknown=function(e){return e<0||null==e},n.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new aD("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=QD(e);if(null!==i){if(0===a||u%a!=0)throw new aD(n);r[i]=u/a}else if(u!==a)throw new aD(n);return r},n.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return DS(r,i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);fP.className="Reshape",BI(fP);var dP=function(e){function t(t){var n;if(n=e.call(this,t)||this,null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=tO(1,t.dims.length+1);if(!qv(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new eM({ndim:n.dims.length+1})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=XO(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},n.call=function(e,t){return tI(KO(e),this.dimsIncludingBatch)},n.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);dP.className="Permute",BI(dP);var mP=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},n.computeMask=function(e,t){var n=KO(e);return pS(AE(n,this.maskValue),-1)},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e),a=pS(AE(r,n.maskValue),-1,!0);return iS(r,FN(a,r.dtype))}))},t}(iM);mP.className="Masking",BI(mP);var vP=function(e){function t(t){var n;if((n=e.call(this,t)||this).embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(pD(t.inputLength))}return n.inputDim=t.inputDim,ND(n.inputDim,"inputDim"),n.outputDim=t.outputDim,ND(n.outputDim,"outputDim"),n.embeddingsInitializer=BO(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=yz(t.embeddingsRegularizer),n.activityRegularizer=yz(t.activityRegularizer),n.embeddingsConstraint=MD(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}Nv(t,e);var n=t.prototype;return n.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(e){},n.computeMask=function(e,t){var n=this;return JI((function(){return n.maskZero?(e=KO(e),AE(e,yT(e))):null}))},n.computeOutputShape=function(e){if(e=XO(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=pD(this.inputLength);if(t.length!==e.length-1)throw new aD('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new aD('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);"int32"!==r.dtype&&(r=nO(r,"int32"));var a=hO(n.embeddings.read(),DS(r,[r.size]));return DS(a,XO(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:PO(this.embeddingsInitializer),embeddingsRegularizer:vz(this.embeddingsRegularizer),activityRegularizer:vz(this.activityRegularizer),embeddingsConstraint:DD(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);vP.className="Embedding",BI(vP);var gP=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new iD},n.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new aD("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},n.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[XO(e)]),(e=e).length<2)throw new aD("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=Fv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=bD(n)).length>1)throw new aD("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===bD(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return JI((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=eO(r),o=Fv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=rO(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=Fv(e);!(c=h()).done;){var f=c.value,d=f.rank;if(null==d){var m=f.shape,v=m[0],g=m.slice(1).concat([v]),y=DS(f,[v].concat(QD(m.slice(1))));y=tI(y,[1,0]),y=DS(y,g),t.push(y),p=!0}else if(d>1){var b=tO(1,d).concat([0]);t.push(tI(f,b)),p=!0}else t.push(f)}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var k=x.shape,N=k[k.length-1],I=[N].concat(k.slice(0,k.length-1));x=DS(tI(DS(x,[-1,N]),[1,0]),I)}else if(w>1){var S=[w-1].concat(tO(0,w-1));x=tI(x,S)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a,i=[],o=Fv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=bD(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return JI((function(){if(null==t)return null;if(!Array.isArray(t))throw new aD("`mask` should be an Array");if(!Array.isArray(e))throw new aD("`inputs` should be an Array");if(t.length!==e.length)throw new aD("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:ST(e,0)})))[0],r=1;r<t.length-1;++r)n=cE(n,t[r]);return n}))},t}(iM),yP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.mergeFunction=function(e){return JI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=nS(t,e[n]);return t}))},t}(gP);yP.className="Add",BI(yP);var bP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.mergeFunction=function(e){return JI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=iS(t,e[n]);return t}))},t}(gP);bP.className="Multiply",BI(bP);var xP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.mergeFunction=function(e){return JI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=nS(t,e[n]);return iS(1/e.length,t)}))},t}(gP);xP.className="Average",BI(xP);var wP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.mergeFunction=function(e){return JI((function(){for(var t=e[0],n=1;n<e.length;++n)t=gE(t,e[n]);return t}))},t}(gP);wP.className="Maximum",BI(wP);var kP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.mergeFunction=function(e){return JI((function(){for(var t=e[0],n=1;n<e.length;++n)t=NE(t,e[n]);return t}))},t}(gP);kP.className="Minimum",BI(kP);var NP=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}Nv(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new aD("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=Fv(e=e);!(t=r()).done;){if(null!=t.value){n=!1;break}}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);for(var s,u=!1,l=Fv(a);!(s=l()).done;){if(qv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new aD("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},n.mergeFunction=function(e){var t=this;return JI((function(){return sO(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new aD("A `Concatenate` layer should be called on a list of inputs.");for(var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=Fv(n.slice(1));!(t=i()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new aD("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new aD("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new aD("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return JI((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(FN(_E(e[i]),"bool")):t[i].rank<e[i].rank?a.push(ST(t[i],-1)):a.push(t[i]);var o=LS(a,n.axis);return cS(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gP);function IP(e,t){for(;e<0;)e+=t;return e}NP.className="Concatenate",BI(NP);var SP=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}Nv(t,e);var n=t.prototype;return n.build=function(e){Uv(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new iD("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new aD("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(e){if(2!==e.length)throw new aD("A `Dot` layer must be called on exactly 2 inputs, but received "+e.length+" input(s).");var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return IP(t,e[n].shape.length)})):[IP(this.axes,n.shape.length),IP(this.axes,r.shape.length)],this.normalize&&(n=kM(n,t[0]),r=kM(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new iD("batchDot is not implemented for tensors of 4D or higher rank yet");if(Uv(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),Uv(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+t.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new iD("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return JI((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=DS(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=DS(e,e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?$T(iS(e,t),i[0]):$T(iS(tI(e,[1,0]),t),i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=$N(e,t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=LC(o,d)}return 1===o.shape.length&&(o=ST(o,1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[IP(this.axes,e.length),IP(this.axes,t.length)]},n.computeOutputShape=function(e){Uv(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new iD("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a},n.computeMask=function(e,t){return null},n.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gP);SP.className="Dot",BI(SP);var TP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);return gO((function(){return nS(cO(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))},t}(iM);TP.className="GaussianNoise",BI(TP);var EP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t);var r=KO(e);if(n.rate>0&&n.rate<1){return gO((function(){var e=Math.sqrt(n.rate/(1-n.rate));return iS(r,cO(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(iM);EP.className="GaussianDropout",BI(EP);var CP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}Nv(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||KO(e).shape},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return JI((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return gO((function(){var t=KO(e),a=-1.7580993408473766,i=DT(rC(r),n.rate);i=nO(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=nS(iS(t,i),iS(nS(i,-1),a));return nS(iS(u,o),s)}),(function(){return KO(e)}),t.training||!1)}return e}))},t}(iM);function RP(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=GS(e,t,n,r,a,i);else if(3===e.rank)o=jS(e,t,n,r,a,i);else{if(4!==e.rank)throw new iD("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=HS(e,t,n,r,a,i)}return o}function AP(e,t,n,r,a){return void 0===a&&(a=.001),qv(r.slice().sort(),tO(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),JI((function(){var i=EE(e,r),o=i.mean,s=i.variance;return[RP(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),JI((function(){for(var i,o=EE(e,r),s=o.mean,u=o.variance,l=[],c=Fv(tO(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=DS(s,l),f=DS(u,l),d=null==t?null:DS(t,l),m=null==n?null:DS(n,l);return[RP(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}CP.className="AlphaDropout",BI(CP);var _P=function(e){function t(t){var n;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=BO(t.betaInitializer||"zeros"),n.gammaInitializer=BO(t.gammaInitializer||"ones"),n.movingMeanInitializer=BO(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=BO(t.movingVarianceInitializer||"ones"),n.betaConstraint=MD(t.betaConstraint),n.gammaConstraint=MD(t.gammaConstraint),n.betaRegularizer=yz(t.betaRegularizer),n.gammaRegularizer=yz(t.gammaRegularizer),n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=XO(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new aD("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new eM({ndim:e.length,axes:(t={},t[n]=r,t)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},n.call=function(e,t){var n=this;return JI((function(){var r=null!=t.training&&t.training,a=KO(e),i=a.shape,o=i.length,s=tO(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=sD(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!qv(c,tO(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=DS(n.movingMean.read(),l),t=DS(n.movingVariance.read(),l),r=n.center?DS(n.beta.read(),l):null,i=n.scale?DS(n.gamma.read(),l):null;return RP(a,e,t,r,i,n.epsilon)}return RP(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=AP(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){JI((function(){var r=1-n,a=e.read(),i=iS(QT(a,t),r);e.write(QT(a,i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),f}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:PO(this.betaInitializer),gammaInitializer:PO(this.gammaInitializer),movingMeanInitializer:PO(this.movingMeanInitializer),movingVarianceInitializer:PO(this.movingVarianceInitializer),betaRegularizer:vz(this.betaRegularizer),gammaRegularizer:vz(this.gammaRegularizer),betaConstraint:DD(this.betaConstraint),gammaConstraint:DD(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);_P.className="BatchNormalization",BI(_P);var FP=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r,a=Fv(n.axis);!(r=a()).done;){var i=r.value;if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=BO(t.betaInitializer||"zeros"),n.gammaInitializer=BO(t.gammaInitializer||"ones"),n.betaRegularizer=yz(t.betaRegularizer),n.gammaRegularizer=yz(t.gammaRegularizer),n.supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=XO(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);for(var r,a=Fv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==bD(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0},n.call=function(e,t){var n=this,r=KO(e),a=r.shape,i=a.length;return JI((function(){for(var e,t=EE(r,n.axis,!0),o=t.mean,s=t.variance,u=sD(1,i),l=Fv(n.axis);!(e=l()).done;){var c=e.value;u[c]=a[c]}for(var p=function(e){return null!=e&&e.shape.length!==i?DS(e,u):e},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(d.push(a[v]),m.push(1)):(d.push(1),m.push(a[v]));return o=ET(o,d),s=ET(s,d),h=ET(h,m),f=ET(f,m),RP(r,o,s,f,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:PO(this.betaInitializer),gammaInitializer:PO(this.gammaInitializer),betaRegularizer:vz(this.betaRegularizer),gammaRegularizer:vz(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);FP.className="LayerNormalization",BI(FP);var DP=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new aD("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r,a;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new aD("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new aD("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new eM({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=XO(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},n.call=function(e,t){var n=this;return JI((function(){return t=KO(e),r=n.padding,a=n.dataFormat,JI((function(){if(4!==t.rank)throw new aD("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new aD("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new aD("Unknown data format: "+a+". Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],DE(t,e)}));var t,r,a}))},n.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM);function OP(e,t,n,r,a,i){return JI((function(){var o;GD(a),HD(i),jD(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Cz(e,a);var s="same"===r?"same":"valid";return o="max"===i?dE(e,t,n,s):OS(e,t,n,s),"channelsFirst"===a&&(o=tI(o,[0,3,1,2])),o}))}function MP(e,t,n,r,a,i){return JI((function(){var o;GD(a),HD(i),jD(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=Rz(e,a);var s="same"===r?"same":"valid";return o="max"===i?mE(e,t,n,s):MS(e,t,n,s),"channelsFirst"===a&&(o=tI(o,[0,4,1,2,3])),o}))}DP.className="ZeroPadding2D",BI(DP);var LP=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new aD("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(ND(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new aD("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return ND(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,jD(n.padding),n.inputSpec=[new eM({ndim:3})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=Tz((e=XO(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},n.call=function(e,t){var n=this;return JI((function(){n.invokeCallHook(e,t),e=rO(KO(e),2);var r=n.poolingFunction(KO(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return LC(r,[2])}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM),zP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),OP(e,t,n,r,a,"max")},t}(LP);zP.className="MaxPooling1D",BI(zP);var PP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),OP(e,t,n,r,a,"avg")},t}(LP);PP.className="AveragePooling1D",BI(PP);var BP=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new aD("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return ND(n.poolSize,"poolSize"),ND(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,GD(n.dataFormat),jD(n.padding),n.inputSpec=[new eM({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=XO(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Tz(t,this.poolSize[0],this.padding,this.strides[0]),n=Tz(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},n.call=function(e,t){var n=this;return JI((function(){return n.invokeCallHook(e,t),n.poolingFunction(KO(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM),WP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),OP(e,t,n,r,a,"max")},t}(BP);WP.className="MaxPooling2D",BI(WP);var UP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),OP(e,t,n,r,a,"avg")},t}(BP);UP.className="AveragePooling2D",BI(UP);var VP=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new aD("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return ND(n.poolSize,"poolSize"),ND(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,GD(n.dataFormat),jD(n.padding),n.inputSpec=[new eM({ndim:5})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=XO(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=Tz(t,this.poolSize[0],this.padding,this.strides[0]),n=Tz(n,this.poolSize[1],this.padding,this.strides[1]),r=Tz(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]},n.call=function(e,t){var n=this;return JI((function(){return n.invokeCallHook(e,t),n.poolingFunction(KO(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM),GP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),MP(e,t,n,r,a,"max")},t}(VP);GP.className="MaxPooling3D",BI(GP);var jP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return GD(a),jD(r),MP(e,t,n,r,a,"avg")},t}(VP);jP.className="AveragePooling3D",BI(jP);var HP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new eM({ndim:3})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new iD},t}(iM),qP=function(e){function t(t){return e.call(this,t||{})||this}return Nv(t,e),t.prototype.call=function(e,t){return JI((function(){var t=KO(e);return yE(t,1)}))},t}(HP);qP.className="GlobalAveragePooling1D",BI(qP);var KP=function(e){function t(t){return e.call(this,t||{})||this}return Nv(t,e),t.prototype.call=function(e,t){return JI((function(){var t=KO(e);return ZT(t,1)}))},t}(HP);KP.className="GlobalMaxPooling1D",BI(KP);var XP=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,GD(n.dataFormat),n.inputSpec=[new eM({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new iD},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(iM),YP=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.call=function(e,t){var n=this;return JI((function(){var t=KO(e);return"channelsLast"===n.dataFormat?yE(t,[1,2]):yE(t,[2,3])}))},t}(XP);YP.className="GlobalAveragePooling2D",BI(YP);var JP=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.call=function(e,t){var n=this;return JI((function(){var t=KO(e);return"channelsLast"===n.dataFormat?ZT(t,[1,2]):ZT(t,[2,3])}))},t}(XP);JP.className="GlobalMaxPooling2D",BI(JP);var ZP=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}Nv(t,e);var n=t.prototype;return n.build=function(e){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(e){this.layer.setWeights(e)},n.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=wM(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},kv(t,[{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}}]),t}(iM),QP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.build=function(t){if((t=XO(t)).length<3)throw new aD("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},n.computeOutputShape=function(e){var t=[(e=XO(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},n.call=function(e,t){var n=this;return JI((function(){return qz((function(e,r){return[KO(n.layer.call(e,t)),[]]}),e=KO(e),[],!1,null,null,!1,!0)[1]}))},t}(ZP);QP.className="TimeDistributed",BI(QP);var $P=function(e){function t(t){var n;n=e.call(this,t)||this;var r=t.layer.getConfig(),a={};a.className=t.layer.getClassName(),a.config=r,n.forwardLayer=wM(a),r.goBackwards=!0!==r.goBackwards;var i,o={};if(o.className=t.layer.getClassName(),o.config=r,n.backwardLayer=wM(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,i=n.mergeMode,wD(UD,"BidirectionalMergeMode",i),t.weights)throw new iD("weights support is not implemented for Bidirectional layer yet.");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}Nv(t,e);var n=t.prototype;return n.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},n.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},n.computeOutputShape=function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),t=a[0]):t=a[0],t=t,"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):cD(n)},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Hz(t,r,a,this.numConstants);if(t=i.inputs,r=i.initialState,a=i.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==a)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new aD("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map((function(e){return new eM({shape:e.shape})}));this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=a)throw new iD("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof tM,p=0,h=o;p<h.length;p++){if(h[p]instanceof tM!==c)throw new aD("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(c){var f=[t].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var v=e.prototype.apply.call(this,f,n);return this.inputSpec=m,v}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return JI((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=lC(a,1)),"concat"===n.mergeMode?o=sO([r,a]):"sum"===n.mergeMode?o=nS(r,a):"ave"===n.mergeMode?o=iS(.5,nS(r,a)):"mul"===n.mergeMode?o=iS(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))},n.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},n.build=function(e){var t=this;KD(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),KD(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0},n.computeMask=function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(t),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=wM(t.layer);if(delete t.layer,null!=t.numConstants)throw new iD("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)},kv(t,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}}]),t}(ZP);function eB(e){return new PP(e)}function tB(e){return new UP(e)}function nB(e){return new jP(e)}function rB(e){return new KP(e)}function aB(e){return new JP(e)}function iB(e){return new zP(e)}function oB(e){return new WP(e)}$P.className="Bidirectional",BI($P);var sB={__proto__:null,inputLayer:function(e){return new uM(e)},elu:function(e){return new kz(e)},reLU:function(e){return new bz(e)},leakyReLU:function(e){return new xz(e)},prelu:function(e){return new wz(e)},softmax:function(e){return new Iz(e)},thresholdedReLU:function(e){return new Nz(e)},conv1d:function(e){return new Uz(e)},conv2d:function(e){return new Mz(e)},conv2dTranspose:function(e){return new zz(e)},conv3d:function(e){return new Lz(e)},conv3dTranspose:function(e){return new Pz(e)},separableConv2d:function(e){return new Wz(e)},cropping2D:function(e){return new Vz(e)},upSampling2d:function(e){return new Gz(e)},depthwiseConv2d:function(e){return new jz(e)},activation:function(e){return new pP(e)},dense:function(e){return new lP(e)},dropout:function(e){return new sP(e)},spatialDropout1d:function(e){return new uP(e)},flatten:function(e){return new cP(e)},repeatVector:function(e){return new hP(e)},reshape:function(e){return new fP(e)},permute:function(e){return new dP(e)},embedding:function(e){return new vP(e)},add:function(e){return new yP(e)},average:function(e){return new xP(e)},concatenate:function(e){return new NP(e)},maximum:function(e){return new wP(e)},minimum:function(e){return new kP(e)},multiply:function(e){return new bP(e)},dot:function(e){return new SP(e)},batchNormalization:function(e){return new _P(e)},layerNormalization:function(e){return new FP(e)},zeroPadding2d:function(e){return new DP(e)},averagePooling1d:eB,avgPool1d:function(e){return eB(e)},avgPooling1d:function(e){return eB(e)},averagePooling2d:tB,avgPool2d:function(e){return tB(e)},avgPooling2d:function(e){return tB(e)},averagePooling3d:nB,avgPool3d:function(e){return nB(e)},avgPooling3d:function(e){return nB(e)},globalAveragePooling1d:function(e){return new qP(e)},globalAveragePooling2d:function(e){return new YP(e)},globalMaxPooling1d:rB,globalMaxPooling2d:aB,maxPooling1d:iB,maxPooling2d:oB,maxPooling3d:function(e){return new GP(e)},gru:function(e){return new Qz(e)},gruCell:function(e){return new Zz(e)},lstm:function(e){return new eP(e)},lstmCell:function(e){return new $z(e)},simpleRNN:function(e){return new Jz(e)},simpleRNNCell:function(e){return new Yz(e)},convLstm2d:function(e){return new oP(e)},convLstm2dCell:function(e){return new iP(e)},rnn:function(e){return new Kz(e)},stackedRNNCells:function(e){return new tP(e)},bidirectional:function(e){return new $P(e)},timeDistributed:function(e){return new QP(e)},globalMaxPool1d:rB,globalMaxPool2d:aB,maxPool1d:iB,maxPool2d:oB,Layer:iM,RNN:Kz,RNNCell:Xz,input:KL,gaussianNoise:function(e){return new TP(e)},gaussianDropout:function(e){return new EP(e)},alphaDropout:function(e){return new CP(e)},masking:function(e){return new mP(e)}};var uB={__proto__:null,binaryAccuracy:function(e,t){return OM(e,t)},binaryCrossentropy:function(e,t){return BM(e,t)},sparseCategoricalAccuracy:function(e,t){return WM(e,t)},categoricalAccuracy:function(e,t){return MM(e,t)},categoricalCrossentropy:function(e,t){return UM(e,t)},precision:function(e,t){return zM(e,t)},recall:function(e,t){return PM(e,t)},cosineProximity:function(e,t){return _M(e,t)},meanAbsoluteError:function(e,t){return IM(e,t)},meanAbsolutePercentageError:function(e,t){return SM(e,t)},MAPE:function(e,t){return SM(e,t)},mape:function(e,t){return SM(e,t)},meanSquaredError:function(e,t){return NM(e,t)},MSE:function(e,t){return NM(e,t)},mse:function(e,t){return NM(e,t)}},lB={__proto__:null,modelFromJSON:function(e,t){return UL.apply(this,arguments)}};var cB={__proto__:null,l1l2:function(e){return new dz(e)},l1:function(e){return hz(t=e),new dz({l1:null!=t?t.l1:null,l2:0});var t},l2:function(e){return hz(t=e),new dz({l2:null!=t?t.l2:null,l1:0});var t}},pB=function(e){function t(){var t;return(t=e.apply(this,arguments)||this).model=null,t}return Nv(t,e),t.prototype.setModel=function(e){if(!(e instanceof BL))throw new Error("model must be a LayersModel, not some other Container");this.model=e},t}(fM);function hB(e,t){return e<t}function fB(e,t){return e>t}var dB=function(e){function t(t){var n;if(n=e.call(this)||this,null==t&&(t={}),t.restoreBestWeights)throw new iD("restoreBestWeights = True is not implemented in EarlyStopping yet.");return n.monitor=t.monitor||"val_loss",n.minDelta=Math.abs(t.minDelta||0),n.patience=t.patience||0,n.verbose=t.verbose||0,n.mode=t.mode||"auto",n.baseline=t.baseline,-1===["auto","min","max"].indexOf(n.mode)&&(console.warn("EarlyStopping mode '"+n.mode+"' is invalid. Falling back to mode 'auto'."),n.mode="auto"),"min"===n.mode?n.monitorFunc=hB:"max"===n.mode||-1!==n.monitor.indexOf("acc")?n.monitorFunc=fB:n.monitorFunc=hB,n.monitorFunc===hB&&(n.minDelta*=-1),n}Nv(t,e);var n=t.prototype;return n.onTrainBegin=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===hB?1/0:-1/0;case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,cM(n);case 2:if(null!=(r=this.getMonitorValue(n))){e.next=5;break}return e.abrupt("return");case 5:this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0));case 6:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onTrainEnd=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.stoppedEpoch>0&&this.verbose&&console.log("Epoch "+this.stoppedEpoch+": early stopping.");case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.getMonitorValue=function(e){null==e&&(e={});var t=e[this.monitor];return null==t&&console.warn("Metric for EarlyStopping "+this.monitor+" is not available. Available metrics are: "+Object.keys(e)),t},t}(pB);var mB,vB,gB={earlyStopping:function(e){return new dB(e)}};Rg().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")})),function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"}(mB||(mB={})),function(e){!function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"}(e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))}(vB||(vB={}));var yB={};function bB(e){return yB[e]}function xB(e,t,n,r,a){var i=t.inputParams[e];if(i&&void 0!==i.inputIndexStart){var o=i.inputIndexStart,s=0===i.inputIndexEnd?void 0:void 0===i.inputIndexEnd?o+1:i.inputIndexEnd;if("tensor"===i.type)return wB(t.inputNames[i.inputIndexStart],n,r,a);if("tensors"===i.type)return t.inputNames.slice(o,s).map((function(e){return wB(e,n,r,a)}));var u=wB(t.inputNames.slice(o)[0],n,r,a),l=u.dataSync();return"number"===i.type?l[0]:vg(u.shape,l)}var c=t.attrParams[e];return c&&c.value}function wB(e,t,n,r){var a=IB(e),i=a[0],o=a[1];if(null!=r){var s=r.getHashTableHandleByName(i);if(null!=s)return s}var u=n.currentContextIds.find((function(e){return!!t[NB(i,e)]}));return void 0!==u?t[NB(i,u)][o]:void 0}function kB(e,t){var n=IB(e),r=n[0],a=n[1],i=n[2];return[NB(r,t&&t.currentContextId),a,i]}function NB(e,t){return t?e+"-"+t:e}function IB(e){var t=e.split(":");if(1===t.length)return[e,0,void 0];var n=t[0],r=3===t.length?t[1]:void 0;return[n,Number(t[t.length-1]),r]}function SB(e,t,n){var r=xB("pad",e,t,n);if("explicit"===r){r=xB("explicitPaddings",e,t,n);for(var a=[[0,0],[0,0],[0,0],[0,0]],i=0;i<4;i++)a[i][0]=r[2*i],a[i][1]=r[2*i+1];return a}return r}function TB(e){return e.kept?e:DN(e)}var EB={__proto__:null,json:[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"data_format",name:"dataFormat",type:"string",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:"DivNoNan",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"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Minimum",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:"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}]}]},CB={__proto__:null,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"},{start:1,name:"clipValueMin",type:"number"},{start:2,name:"clipValueMax",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{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}]},{tfOpName:"IsNan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},RB={__proto__:null,json:[{tfOpName:"EmptyTensorList",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"maxNumElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{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:"tensor"},{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:"tensor"},{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:"tensor"},{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:"tensor"},{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:"tensor"},{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:"tensor"},{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:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]}]},AB={__proto__:null,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:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[],notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"leakyrelu_alpha",name:"leakyreluAlpha",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},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]",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:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{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:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}]},_B={__proto__:null,json:[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}]},FB={__proto__:null,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:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},DB={__proto__:null,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"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}]},OB={__proto__:null,json:[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}]},MB={__proto__:null,json:[{tfOpName:"HashTable",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"HashTableV2",category:"hash_table",inputs:[],attrs:[{tfName:"shared_name",name:"sharedName",type:"string"},{tfName:"use_node_name_sharing",name:"useNodeNameSharing",type:"bool"},{tfName:"key_dtype",name:"keyDType",type:"dtype"},{tfName:"value_dtype",name:"valueDType",type:"dtype"}]},{tfOpName:"LookupTableImport",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableImportV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"values",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFind",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableFindV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"},{start:1,name:"keys",type:"tensor"},{start:2,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"Tin",name:"tIn",type:"dtype",notSupported:!0},{tfName:"Tout",name:"tOut",type:"dtype",notSupported:!0}]},{tfOpName:"LookupTableSize",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]},{tfOpName:"LookupTableSizeV2",category:"hash_table",inputs:[{start:0,name:"tableHandle",type:"tensor"}]}]},LB={__proto__:null,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:"half_pixel_centers",name:"halfPixelCenters",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:"half_pixel_centers",name:"halfPixelCenters",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"}]}]},zB={__proto__:null,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}]},{tfOpName:"SelectV2",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}]}]},PB={__proto__:null,json:[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{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:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Einsum",category:"matrices",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"equation",name:"equation",type:"string"},{tfName:"N",name:"n",type:"number",defaultValue:2},{tfName:"T",name:"dtype",type:"dtype"}]}]},BB={__proto__:null,json:[{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}]},WB={__proto__:null,json:[{tfOpName:"Bincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}]},{tfOpName:"DenseBincount",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"size",type:"number"},{start:2,name:"weights",type:"tensor"}],attrs:[{tfName:"binary_output",name:"binaryOutput",type:"bool"}]},{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"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}]},UB={__proto__:null,json:[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{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}],attrs:[{tfName:"batch_dims",name:"batchDims",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{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[]"}]},{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}]}]},VB={__proto__:null,json:[{tfOpName:"SparseFillEmptyRows",category:"sparse",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"denseShape",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}]},{tfOpName:"SparseReshape",category:"sparse",inputs:[{start:0,name:"inputIndices",type:"tensor"},{start:1,name:"inputShape",type:"tensor"},{start:2,name:"newShape",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SparseSegmentMean",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]},{tfOpName:"SparseSegmentSum",category:"sparse",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"segmentIds",type:"tensor"}]}]},GB={__proto__:null,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}]}]},jB={__proto__:null,json:[{tfOpName:"StringNGrams",category:"string",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"dataSplits",type:"tensor"}],attrs:[{tfName:"separator",name:"separator",type:"string"},{tfName:"ngram_widths",name:"nGramWidths",type:"number[]"},{tfName:"left_pad",name:"leftPad",type:"string"},{tfName:"right_pad",name:"rightPad",type:"string"},{tfName:"pad_width",name:"padWidth",type:"number"},{tfName:"preserve_short_sequences",name:"preserveShortSequences",type:"bool"}],outputs:["ngrams","ngrams_splits"]},{tfOpName:"StringSplit",category:"string",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"delimiter",type:"tensor"}],attrs:[{tfName:"skip_empty",name:"skipEmpty",type:"bool"}],outputs:["indices","values","shape"]},{tfOpName:"StringToHashBucketFast",category:"string",inputs:[{start:0,name:"input",type:"tensor"}],attrs:[{tfName:"num_buckets",name:"numBuckets",type:"number"}]}]},HB={__proto__:null,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:"MirrorPad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"mode",name:"mode",type:"string"}]},{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"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]},{tfOpName:"BroadcastArgs",category:"transformation",inputs:[{start:0,name:"s0",type:"tensor"},{start:1,name:"s1",type:"tensor"}],attrs:[]}]},qB=function(){function e(){var e,t=[EB,CB,RB,AB,_B,FB,DB,OB,MB,LB,zB,PB,BB,WB,UB,VB,GB,jB,HB],n=(e=[]).concat.apply(e,t.map((function(e){return e.json})));this.opMappers=n.reduce((function(e,t){return e[t.tfOpName]=t,e}),{})}var t=e.prototype;return t.transformGraph=function(e,t){var n=this;void 0===t&&(t={});var r=e.node,a=[],i=[],o=[],s=r.reduce((function(e,t){return e[t.name]=n.mapNode(t),t.op.startsWith("Placeholder")?a.push(e[t.name]):"Const"===t.op?i.push(e[t.name]):null!=t.input&&0!==t.input.length||o.push(e[t.name]),e}),{}),u=[],l=[],c={},p={};null!=t&&(c=this.mapSignatureEntries(t.inputs),p=this.mapSignatureEntries(t.outputs));var h=Object.keys(s);h.forEach((function(e){var t=s[e];t.inputNames.forEach((function(e,n){var r=kB(e),a=r[0],i=r[2],o=s[a];if(null!=o.outputs){var u=o.outputs.indexOf(i);if(-1!==u){var l=a+":"+u;t.inputNames[n]=l}}t.inputs.push(o),o.children.push(t)}))})),0===Object.keys(p).length?h.forEach((function(e){var t=s[e];0===t.children.length&&l.push(t)})):Object.keys(p).forEach((function(e){var t=kB(e)[0],n=s[t];null!=n&&(n.signatureKey=p[e],l.push(n))})),Object.keys(c).length>0?Object.keys(c).forEach((function(e){var t=kB(e)[0],n=s[t];n&&(n.signatureKey=c[e],u.push(n))})):u=a;var f={};null!=e.library&&null!=e.library.function&&(f=e.library.function.reduce((function(e,t){return e[t.signature.name]=n.mapFunction(t),e}),{}));var d={nodes:s,inputs:u,outputs:l,weights:i,placeholders:a,signature:t,functions:f};return o.length>0&&(d.initNodes=o),d},t.mapSignatureEntries=function(e){return Object.keys(e||{}).reduce((function(t,n){return t[e[n].name]=n,t}),{})},t.mapNode=function(e){var t=bB(e.op)||this.opMappers[e.op]||{};null==e.attr&&(e.attr={});var n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map((function(e){return e.startsWith("^")?e.substr(1):e})),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return null!=t.inputs&&(n.inputParams=t.inputs.reduce((function(e,t){return e[t.name]={type:t.type,inputIndexStart:t.start,inputIndexEnd:t.end},e}),{})),null!=t.attrs&&(n.attrParams=t.attrs.reduce((function(t,n){var r=n.type,a=void 0;switch(n.type){case"string":void 0===(a=XB(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=XB(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"string[]":void 0===(a=aW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=aW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number":void 0===(a=JB(e.attr,n.tfName,n.defaultValue||0))&&n.tfDeprecatedName&&(a=JB(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number[]":void 0===(a=rW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=rW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool":void 0===(a=YB(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=YB(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool[]":void 0===(a=oW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=oW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape":void 0===(a=nW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=nW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape[]":void 0===(a=iW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=iW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype":void 0===(a=$B(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=$B(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype[]":void 0===(a=eW(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=eW(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"func":void 0===(a=QB(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=QB(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+n.type+" for op: "+e.op)}return t[n.name]={value:a,type:r},t}),{})),n},t.mapFunction=function(e){var t=this,n=e.nodeDef,r=[],a={};null!=n&&(a=n.reduce((function(e,n){return e[n.name]=t.mapNode(n),"Const"===n.op&&r.push(e[n.name]),e}),{}));var i=[],o=[];e.signature.inputArg.forEach((function(e){var t=kB(e.name)[0],n={name:t,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:ZB(e.type),type:"dtype"}},children:[]};n.signatureKey=e.name,i.push(n),a[t]=n})),Object.keys(a).forEach((function(e){var t=a[e];t.inputNames.forEach((function(e,n){var r=kB(e),i=r[0],o=r[2],s=a[i];if(null!=s.outputs){var u=s.outputs.indexOf(o);if(-1!==u){var l=i+":"+u;t.inputNames[n]=l}}t.inputs.push(s),s.children.push(t)}))}));var s=e.ret;e.signature.outputArg.forEach((function(e){var t=kB(s[e.name]),n=t[0],r=t[1],i=a[n];null!=i&&(i.defaultOutput=r,o.push(i))}));var u=this.mapArgsToSignature(e);return{nodes:a,inputs:i,outputs:o,weights:r,placeholders:[],signature:u}},t.mapArgsToSignature=function(e){var t=this;return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((function(e,n){return e[n.name]=t.mapArgToTensorInfo(n),e}),{}),outputs:e.signature.outputArg.reduce((function(n,r){return n[r.name]=t.mapArgToTensorInfo(r,e.ret),n}),{})}},t.mapArgToTensorInfo=function(e,t){var n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}},kv(e,null,[{key:"Instance",get:function(){return this._instance||(this._instance=new this)}}]),e}();function KB(e,t){var n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){var t=Rg().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function XB(e,t,n,r){void 0===r&&(r=!1);var a=e[t];return null!=a?KB(a.s,r):n}function YB(e,t,n){var r=e[t];return r?r.b:n}function JB(e,t,n){var r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"==typeof a?a:parseInt(a,10)}function ZB(e){switch("string"==typeof e&&(e=mB[e]),e){case mB.DT_FLOAT:case mB.DT_HALF:return"float32";case mB.DT_INT32:case mB.DT_INT64:case mB.DT_INT8:case mB.DT_UINT8:return"int32";case mB.DT_BOOL:return"bool";case mB.DT_DOUBLE:return"float32";case mB.DT_STRING:return"string";default:return null}}function QB(e,t,n){var r=e[t];return r&&r.func?r.func.name:n}function $B(e,t,n){var r=e[t];return r&&r.type?ZB(r.type):n}function eW(e,t,n){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map((function(e){return ZB(e)})):n}function tW(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((function(e){return"number"==typeof e.size?e.size:parseInt(e.size,10)})):[]}function nW(e,t,n){var r=e[t];return r&&r.shape?tW(r.shape):n}function rW(e,t,n){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((function(e){return"number"==typeof e?e:parseInt(e,10)})):n}function aW(e,t,n,r){void 0===r&&(r=!1);var a=e[t];return a&&a.list&&a.list.s?a.list.s.map((function(e){return KB(e,r)})):n}function iW(e,t,n){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((function(e){return tW(e)})):n}function oW(e,t,n){var r=e[t];return r&&r.list&&r.list.b?r.list.b:n}var sW=function(){function e(e,t,n){var r=this;this.node=e,this.tensorMap=t,this.context=n,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map((function(e){return r.getInput(e)})),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce((function(e,t){return e[t]=r.getAttr(t),e}),{}))}var t=e.prototype;return t.getInput=function(e){return wB(e,this.tensorMap,this.context)},t.getAttr=function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return wB(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return JB(this.node.rawAttrs,e,t);if(null!=n.s)return XB(this.node.rawAttrs,e,t);if(null!=n.b)return YB(this.node.rawAttrs,e,t);if(null!=n.shape)return nW(this.node.rawAttrs,e,t);if(null!=n.type)return $B(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return rW(this.node.rawAttrs,e,t);if(null!=n.list.s)return aW(this.node.rawAttrs,e,t);if(null!=n.list.shape)return iW(this.node.rawAttrs,e,t);if(null!=n.list.b)return oW(this.node.rawAttrs,e,t);if(null!=n.list.type)return eW(this.node.rawAttrs,e,t)}return t},e}(),uW={__proto__:null,abs:oS,acos:sS,acosh:uS,add:nS,addN:lS,all:cS,any:pS,argMax:hS,argMin:fS,asin:dS,asinh:mS,atan:vS,atan2:gS,atanh:yS,avgPool:OS,avgPool3d:MS,basicLSTMCell:WS,batchToSpaceND:US,batchNorm:VS,batchNorm2d:GS,batchNorm3d:jS,batchNorm4d:HS,bincount:qS,broadcastArgs:KS,broadcastTo:XS,buffer:_N,cast:FN,ceil:YS,clipByValue:JS,clone:DN,complex:Ek,concat:LS,concat1d:ZS,concat2d:QS,concat3d:$S,concat4d:eT,conv1d:nT,conv2d:tT,conv2dTranspose:aT,conv3d:iT,conv3dTranspose:sT,cos:uT,cosh:lT,cumsum:cT,denseBincount:pT,depthToSpace:hT,depthwiseConv2d:fT,diag:dT,dilation2d:mT,div:aS,divNoNan:bT,dot:xT,einsum:wT,elu:kT,equal:vT,erf:NT,exp:IT,expandDims:ST,expm1:TT,eye:CT,fill:RT,floor:AT,floorDiv:rS,gather:_T,greater:FT,greaterEqual:DT,imag:OT,isFinite:MT,isInf:LT,isNaN:zT,leakyRelu:PT,less:BT,lessEqual:WT,linspace:UT,localResponseNormalization:VT,log:GT,log1p:jT,logSigmoid:JT,logSoftmax:eE,logSumExp:lE,logicalAnd:cE,logicalNot:pE,logicalOr:hE,logicalXor:fE,matMul:$N,max:ZT,maxPool:dE,maxPool3d:mE,maxPoolWithArgmax:vE,maximum:gE,mean:yE,meshgrid:wE,min:kE,minimum:NE,mirrorPad:IE,mod:SE,moments:EE,mul:iS,multiRNNCell:CE,multinomial:RE,neg:XT,notEqual:AE,oneHot:eI,ones:xE,onesLike:_E,outerProduct:FE,pad:DE,pad1d:OE,pad2d:ME,pad3d:LE,pad4d:zE,pool:BE,pow:WE,prelu:UE,print:ON,prod:VE,rand:GE,randomGamma:tC,randomNormal:nC,randomUniform:rC,range:aC,real:iC,reciprocal:oC,relu:sC,relu6:uC,reshape:DS,reverse:lC,reverse1d:cC,reverse2d:pC,reverse3d:hC,reverse4d:fC,round:dC,rsqrt:mC,scalar:vC,selu:gC,separableConv2d:yC,setdiff1dAsync:xC,sigmoid:zS,sign:wC,sin:kC,sinh:NC,slice:PS,slice1d:IC,slice2d:SC,slice3d:TC,slice4d:EC,softmax:CC,softplus:YT,spaceToBatchND:PE,fft:RC,ifft:AC,irfft:_C,rfft:DC,split:FC,sqrt:OC,square:TE,squaredDifference:MC,squeeze:LC,stack:zC,step:PC,stridedSlice:BC,sub:QT,sum:$T,tan:WC,tanh:BS,tensor:Rk,tensor1d:UC,tensor2d:VC,tensor3d:uI,tensor4d:GC,tensor5d:jC,tensor6d:HC,tile:ET,topk:qC,truncatedNormal:KC,unique:XC,unsortedSegmentSum:YC,unstack:JC,variable:ZC,where:gT,whereAsync:eR,zeros:bE,zerosLike:yT,op:Tk,OP_SCOPE_SUFFIX:Sk,booleanMaskAsync:nR,transpose:tI,norm:aR,movingAverage:iR,scatterND:oR,sparseToDense:sR,gatherND:uR,dropout:lR,enclosingPowerOfTwo:cR,cosineWindow:pR,inTopKAsync:fR,image:SA,linalg:TA,losses:EA,spectral:NA,fused:IR,signal:IA,sparse:CA,string:RA};function lW(e,t,n){if(void 0===n&&(n=""),"number"!=typeof e&&"number"!=typeof t){Uv(e.length===t.length,(function(){return n+" Shapes "+e+" and "+t+" must match"}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];Uv(a<0||i<0||a===i,(function(){return n+" Shapes "+e+" and "+t+" must match"}))}}}function cW(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function pW(e,t,n){var r=hW(e,n),a=!cW(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list with non-fully-defined elementShape: "+r);if(a&&t.forEach((function(e){r=hW(e.shape,r)})),!cW(r))throw new Error("Non-fully-defined elementShape: "+r);return r}function hW(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: "+e+" vs. "+t);for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: "+e+" vs. "+t);n[r]=a>=0?a:i}return n}var fW=function(){function e(e,t,n,r,a,i,o){this.name=e,this.dtype=t,this.maxSize=n,this.elementShape=r,this.identicalElementShapes=a,this.dynamicSize=i,this.clearAfterRead=o,this.tensors=[],this.closed_=!1,this.idTensor=vC(0),QI(this.idTensor)}var t=e.prototype;return t.clearAndClose=function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()},t.size=function(){return this.tensors.length},t.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.size())throw new Error("Tried to read from index "+e+", but array size is: "+this.size());var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},t.readMany=function(e){var t=this;return e.map((function(e){return t.read(e)}))},t.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),lW(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");n.tensor=t,QI(t),n.written=!0,this.tensors[e]=n},t.writeMany=function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach((function(e,r){return n.write(e,t[r])}))},t.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return Rk([],[0].concat(this.elementShape));var r=this.readMany(e);return lW(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),zC(r,0)},t.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return Rk([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return lW(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),LS(r,0)},t.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var n=Math.max.apply(Math,e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(e,JC(t,0))},t.split=function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];JI((function(){t=DS(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,e[s],i];o[s]=DS(PS(t,u,l),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)},kv(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}}]),e}(),dW=function(){function e(e,t,n,r){void 0===r&&(r=-1),this.tensors=e,this.elementShape=t,this.elementDtype=n,null!=e&&e.forEach((function(e){if(n!==e.dtype)throw new Error("Invalid data types; op elements "+n+", but list elements "+e.dtype);lW(t,e.shape,"TensorList shape mismatch: "),QI(e)})),this.idTensor=vC(0),this.maxNumElements=r,QI(this.idTensor)}var t=e.prototype;return t.copy=function(){return new e([].concat(this.tensors),this.elementShape,this.elementDtype)},t.clearAndClose=function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()},t.size=function(){return this.tensors.length},t.stack=function(e,t,n){var r=this;if(void 0===n&&(n=-1),t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);if(-1!==n&&this.tensors.length!==n)throw new Error("Operation expected a list with "+n+" elements but got a list with "+this.tensors.length+" elements.");lW(e,this.elementShape,"TensorList shape mismatch: ");var a=pW(this.elementShape,this.tensors,e);return JI((function(){var e=r.tensors.map((function(e){return DS(e,a)}));return zC(e,0)}))},t.popBack=function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=pW(this.elementShape,this.tensors,e),r=this.tensors.pop();return lW(r.shape,e,"TensorList shape mismatch: "),DS(r,n)},t.pushBack=function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(lW(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");QI(e),this.tensors.push(e)},t.resize=function(e){if(e<0)throw new Error("TensorListResize expects size to be non-negative. Got: "+e);if(-1!==this.maxNumElements&&e>this.maxNumElements)throw new Error("TensorListResize input size "+e+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=e},t.getItem=function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements "+n+", but list elements "+this.elementDtype);if(e<0||e>this.tensors.length)throw new Error("Trying to access element "+e+" in a list with "+this.tensors.length+" elements.");if(null==this.tensors[e])throw new Error("element at index "+e+" is null.");lW(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=pW(this.elementShape,this.tensors,t);return DS(this.tensors[e],r)},t.setItem=function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+t.dtype+", but list elements "+this.elementDtype);if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element "+e+" in a list with max "+this.maxNumElements+" elements.");lW(this.elementShape,t.shape,"TensorList shape mismatch: "),QI(t),this.tensors[e]=t},t.gather=function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);lW(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=pW(this.elementShape,this.tensors,n);return 0===e.length?Rk([],[0].concat(a)):JI((function(){var t=e.map((function(e){return DS(r.tensors[e],a)}));return zC(t,0)}))},t.concat=function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+e);lW(this.elementShape,t,"TensorList shape mismatch: ");var r=pW(this.elementShape,this.tensors,t);return 0===this.size()?Rk([],[0].concat(r)):JI((function(){var e=n.tensors.map((function(e){return DS(e,r)}));return LS(e,0)}))},kv(e,[{key:"id",get:function(){return this.idTensor.id}}]),e}();function mW(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+e.shape);if(e.dtype!==n)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+n);lW(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=JC(e);return new dW(a,t,r)}function vW(e,t,n){return new dW([],e,t,n)}function gW(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var a=Math.max.apply(Math,t);if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size ("+a+"  vs. "+r+")");var i=new dW([],n,e.dtype,r),o=JC(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function yW(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);for(var i=hW(e.shape.slice(1),n),o=0===r?0:e.size/r,s=JI((function(){var n=[];e=DS(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,t[s],o];n[s]=DS(PS(e,u,l),i)}return e.dispose(),n})),u=new dW([],n,e.dtype,t.length),l=0;l<s.length;l++)u.setItem(l,s[l]);return u}var bW=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,E,C,R,A,_,F,D,O,M,L,z,P,B,W,U,V,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,le,ce,pe,he,fe,de,me,ve,ge,ye,be,xe,we,ke,Ne,Ie,Se,Te,Ee,Ce,Re,Ae,_e,Fe,De,Oe,Me,Le,ze,Pe,Be,We,Ue,Ve,Ge,je,He;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?19:"Switch"===e.t0?21:"Merge"===e.t0?32:"Enter"===e.t0?37:"Exit"===e.t0?41:"NextIteration"===e.t0?44:"TensorArrayV3"===e.t0?47:"TensorArrayWriteV3"===e.t0?57:"TensorArrayReadV3"===e.t0?63:"TensorArrayGatherV3"===e.t0?67:"TensorArrayScatterV3"===e.t0?72:"TensorArrayConcatV3"===e.t0?78:"TensorArraySplitV3"===e.t0?82:"TensorArraySizeV3"===e.t0?88:"TensorArrayCloseV3"===e.t0?91:"TensorListSetItem"===e.t0?95:"TensorListGetItem"===e.t0?101:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?107:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?114:"TensorListGather"===e.t0?121:"TensorListStack"===e.t0?127:"TensorListFromTensor"===e.t0?133:"TensorListConcat"===e.t0?139:"TensorListPushBack"===e.t0?144:"TensorListPopBack"===e.t0?149:"TensorListSplit"===e.t0?154:160;break;case 3:return a=xB("thenBranch",t,n,r),i=xB("elseBranch",t,n,r),o=xB("cond",t,n,r),s=xB("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return e.delegateYield(regeneratorRuntime.mark((function e(){var a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=xB("body",t,n,r),i=xB("cond",t,n,r),o=xB("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:l=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),c=o,p=regeneratorRuntime.mark((function e(){var t,n,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=c,e.next=3,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 3:return c=e.sent,n=c.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:l=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!l[0]){e.next=17;break}return e.delegateYield(p(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:c});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!=typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return l=xB("pred",t,n,r),e.abrupt("return",[TB(l)]);case 21:return c=xB("pred",t,n,r),(p=xB("data",t,n,r)).kept||(p=TB(p)),e.next=26,c.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 0,p],e.next=31;break;case 30:e.t2=[p,void 0];case 31:return e.abrupt("return",e.t2);case 32:if(!(h=t.inputNames.find((function(e){return void 0!==wB(e,n,r)})))){e.next=36;break}return f=wB(h,n,r),e.abrupt("return",[TB(f)]);case 36:return e.abrupt("return",void 0);case 37:return d=xB("frameName",t,n,r),m=xB("tensor",t,n,r),r.enterFrame(d),e.abrupt("return",[TB(m)]);case 41:return v=xB("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[TB(v)]);case 44:return g=xB("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[TB(g)]);case 47:return y=xB("size",t,n,r),b=xB("dtype",t,n,r),x=xB("elementShape",t,n,r),w=xB("dynamicSize",t,n,r),k=xB("clearAfterRead",t,n,r),N=xB("identicalElementShapes",t,n,r),I=xB("name",t,n,r),S=new fW(I,b,y,x,N,w,k),r.addTensorArray(S),e.abrupt("return",[S.idTensor,vC(1)]);case 57:return T=xB("tensorArrayId",t,n,r),E=xB("index",t,n,r),C=xB("tensor",t,n,r),(R=r.getTensorArray(T.id)).write(E,C),e.abrupt("return",[R.idTensor]);case 63:return A=xB("tensorArrayId",t,n,r),_=xB("index",t,n,r),F=r.getTensorArray(A.id),e.abrupt("return",[F.read(_)]);case 67:return D=xB("tensorArrayId",t,n,r),O=xB("indices",t,n,r),M=xB("dtype",t,n,r),L=r.getTensorArray(D.id),e.abrupt("return",[L.gather(O,M)]);case 72:return z=xB("tensorArrayId",t,n,r),P=xB("indices",t,n,r),B=xB("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(P,B),e.abrupt("return",[W.idTensor]);case 78:return U=xB("tensorArrayId",t,n,r),V=r.getTensorArray(U.id),G=xB("dtype",t,n,r),e.abrupt("return",[V.concat(G)]);case 82:return j=xB("tensorArrayId",t,n,r),H=xB("tensor",t,n,r),q=xB("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=xB("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[vC(Y.size(),"int32")]);case 91:return J=xB("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=xB("tensorListId",t,n,r),$=xB("index",t,n,r),ee=xB("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=xB("tensorListId",t,n,r),re=xB("index",t,n,r),ae=xB("elementShape",t,n,r),ie=xB("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=xB("indices",t,n,r),ue=xB("tensor",t,n,r),le=xB("elementShape",t,n,r),ce=xB("numElements",t,n,r),pe=gW(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=xB("elementShape",t,n,r),fe=xB("elementDType",t,n,r),de="TensorListReserve"===t.op?"numElements":"maxNumElements",me=xB(de,t,n,r),ve=vW(he,fe,me),r.addTensorList(ve),e.abrupt("return",[ve.idTensor]);case 121:return ge=xB("tensorListId",t,n,r),ye=xB("indices",t,n,r),be=xB("elementShape",t,n,r),xe=xB("elementDType",t,n,r),we=r.getTensorList(ge.id),e.abrupt("return",[we.gather(ye,xe,be)]);case 127:return ke=xB("tensorListId",t,n,r),Ne=xB("elementShape",t,n,r),Ie=xB("elementDType",t,n,r),Se=xB("numElements",t,n,r),Te=r.getTensorList(ke.id),e.abrupt("return",[Te.stack(Ne,Ie,Se)]);case 133:return Ee=xB("tensor",t,n,r),Ce=xB("elementShape",t,n,r),Re=xB("elementDType",t,n,r),Ae=mW(Ee,Ce,Re),r.addTensorList(Ae),e.abrupt("return",[Ae.idTensor]);case 139:return _e=xB("tensorListId",t,n,r),Fe=r.getTensorList(_e.id),De=xB("dtype",t,n,r),Oe=xB("elementShape",t,n,r),e.abrupt("return",[Fe.concat(De,Oe)]);case 144:return Me=xB("tensorListId",t,n,r),Le=xB("tensor",t,n,r),(ze=r.getTensorList(Me.id)).pushBack(Le),e.abrupt("return",[ze.idTensor]);case 149:return Pe=xB("tensorListId",t,n,r),Be=xB("elementShape",t,n,r),We=xB("elementDType",t,n,r),Ue=r.getTensorList(Pe.id),e.abrupt("return",[Ue.popBack(Be,We)]);case 154:return Ve=xB("tensor",t,n,r),Ge=xB("elementShape",t,n,r),je=xB("lengths",t,n,r),He=yW(Ve,je,Ge),r.addTensorList(He),e.abrupt("return",[He.idTensor]);case 160:throw TypeError("Node type "+t.op+" is not implemented");case 161:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function xW(e,t,n){var r=xB("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,l="fusedbatchnorm"===a,c=xB("numArgs",e,t,n);if(o){if(u&&2!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var p=xB("strides",e,t,n),h=SB(e,t,n),f=xB("dataFormat",e,t,n).toUpperCase(),d=xB("dilations",e,t,n),m=xB("args",e,t,n),v=m[0],g=m[1];return s&&(g=v,v=void 0),{stride:p,pad:h,dataFormat:f,dilations:d,biasArg:v,preluArg:g,activationFunc:i,leakyreluAlpha:xB("leakyreluAlpha",e,t,n)}}function wW(e,t,n){return{boxes:xB("boxes",e,t,n),scores:xB("scores",e,t,n),maxOutputSize:xB("maxOutputSize",e,t,n),iouThreshold:xB("iouThreshold",e,t,n),scoreThreshold:xB("scoreThreshold",e,t,n),softNmsSigma:xB("softNmsSigma",e,t,n)}}var kW=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,E;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?3:"NonMaxSuppressionV4"===e.t0?8:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?14:"Where"===e.t0?19:"ListDiff"===e.t0?26:27;break;case 3:return a=wW(t,n,r),i=a.boxes,o=a.scores,s=a.maxOutputSize,u=a.iouThreshold,l=a.scoreThreshold,c=a.softNmsSigma,e.next=6,SA.nonMaxSuppressionWithScoreAsync(i,o,s,u,l,c);case 6:return p=e.sent,e.abrupt("return",[p.selectedIndices,p.selectedScores]);case 8:return h=wW(t,n,r),f=h.boxes,d=h.scores,m=h.maxOutputSize,v=h.iouThreshold,g=h.scoreThreshold,y=xB("padToMaxOutputSize",t,n,r),e.next=12,SA.nonMaxSuppressionPaddedAsync(f,d,m,v,g,y);case 12:return b=e.sent,e.abrupt("return",[b.selectedIndices,b.validOutputs]);case 14:return x=wW(t,n,r),w=x.boxes,k=x.scores,N=x.maxOutputSize,I=x.iouThreshold,S=x.scoreThreshold,e.next=17,SA.nonMaxSuppressionAsync(w,k,N,I,S);case 17:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 19:return T=FN(xB("condition",t,n,r),"bool"),e.next=22,eR(T);case 22:return e.t2=e.sent,E=[e.t2],T.dispose(),e.abrupt("return",E);case 26:return e.abrupt("return",xC(xB("x",t,n,r),xB("y",t,n,r)));case 27:throw TypeError("Node type "+t.op+" is not implemented");case 28:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}(),NW=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=vC(0),this.tensorMap=new Map,QI(this.handle)}var t=e.prototype;return t.clearAndClose=function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()},t.size=function(){return this.tensorMap.size},t.tensorSize=function(){return vC(this.size(),"int32")},t.import=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",JI((function(){var e=JC(n),t=r.length,i=e.length;Uv(t===i,(function(){return"The number of elements doesn't match, keys has "+t+" elements, the values has "+i+" elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];QI(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.find=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",JI((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return zC(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.findWithDefault=function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t},t.checkKeyAndValueTensor=function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+e.dtype);if(t.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+t.dtype)},kv(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),IW=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?8:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?16:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?24:27;break;case 3:return i=xB("keyDType",t,n,r),o=xB("valueDType",t,n,r),s=new NW(i,o),a.addHashTable(t.name,s),e.abrupt("return",[s.handle]);case 8:return u=xB("tableHandle",t,n,r,a),l=xB("keys",t,n,r),c=xB("values",t,n,r),p=a.getHashTableById(u.id),e.next=14,p.import(l,c);case 14:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 16:return h=xB("tableHandle",t,n,r,a),f=xB("keys",t,n,r),d=xB("defaultValue",t,n,r),m=a.getHashTableById(h.id),e.next=22,m.find(f,d);case 22:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 24:return v=xB("tableHandle",t,n,r,a),g=a.getHashTableById(v.id),e.abrupt("return",[g.tensorSize()]);case 27:throw TypeError("Node type "+t.op+" is not implemented");case 28:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function SW(e,t,n,r){var a=function(e,t,n){switch(e.category){case"arithmetic":return JI((function(){return function(e,t,n){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[nS(xB("a",e,t,n),xB("b",e,t,n))];case"AddN":return[lS(xB("tensors",e,t,n))];case"FloorMod":case"Mod":return[SE(xB("a",e,t,n),xB("b",e,t,n))];case"Mul":return[iS(xB("a",e,t,n),xB("b",e,t,n))];case"RealDiv":case"Div":return[aS(xB("a",e,t,n),xB("b",e,t,n))];case"DivNoNan":return[bT(xB("a",e,t,n),xB("b",e,t,n))];case"FloorDiv":return[rS(xB("a",e,t,n),xB("b",e,t,n))];case"Sub":return[QT(xB("a",e,t,n),xB("b",e,t,n))];case"Minimum":return[NE(xB("a",e,t,n),xB("b",e,t,n))];case"Maximum":return[gE(xB("a",e,t,n),xB("b",e,t,n))];case"Pow":return[WE(xB("a",e,t,n),xB("b",e,t,n))];case"SquaredDifference":return[MC(xB("a",e,t,n),xB("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return JI((function(){return function(e,t,n){switch(e.op){case"Abs":case"ComplexAbs":return[oS(xB("x",e,t,n))];case"Acos":return[sS(xB("x",e,t,n))];case"Acosh":return[uS(xB("x",e,t,n))];case"Asin":return[dS(xB("x",e,t,n))];case"Asinh":return[mS(xB("x",e,t,n))];case"Atan":return[vS(xB("x",e,t,n))];case"Atan2":return[gS(xB("x",e,t,n),xB("y",e,t,n))];case"Atanh":return[yS(xB("x",e,t,n))];case"Ceil":return[YS(xB("x",e,t,n))];case"Complex":return[Ek(xB("real",e,t,n),xB("imag",e,t,n))];case"Cos":return[uT(xB("x",e,t,n))];case"Cosh":return[lT(xB("x",e,t,n))];case"Elu":return[kT(xB("x",e,t,n))];case"Erf":return[NT(xB("x",e,t,n))];case"Exp":return[IT(xB("x",e,t,n))];case"Expm1":return[TT(xB("x",e,t,n))];case"Floor":return[AT(xB("x",e,t,n))];case"Log":return[GT(xB("x",e,t,n))];case"Log1p":return[jT(xB("x",e,t,n))];case"Imag":return[OT(xB("x",e,t,n))];case"Neg":return[XT(xB("x",e,t,n))];case"Reciprocal":return[oC(xB("x",e,t,n))];case"Real":return[iC(xB("x",e,t,n))];case"Relu":return[sC(xB("x",e,t,n))];case"Round":return[dC(xB("x",e,t,n))];case"Selu":return[gC(xB("x",e,t,n))];case"Sigmoid":return[zS(xB("x",e,t,n))];case"Sin":return[kC(xB("x",e,t,n))];case"Sign":return[wC(xB("x",e,t,n))];case"Sinh":return[NC(xB("x",e,t,n))];case"Softplus":return[YT(xB("x",e,t,n))];case"Sqrt":return[OC(xB("x",e,t,n))];case"Square":return[TE(xB("x",e,t,n))];case"Tanh":return[BS(xB("x",e,t,n))];case"Tan":return[WC(xB("x",e,t,n))];case"ClipByValue":return[JS(xB("x",e,t,n),xB("clipValueMin",e,t,n),xB("clipValueMax",e,t,n))];case"Relu6":return[uC(xB("x",e,t,n))];case"Rsqrt":return[mC(wB(e.inputNames[0],t,n))];case"Prod":return[VE(xB("x",e,t,n),xB("axes",e,t,n))];case"LeakyRelu":return[PT(xB("x",e,t,n),xB("alpha",e,t,n))];case"Prelu":return[UE(xB("x",e,t,n),xB("alpha",e,t,n))];case"IsNan":return[zT(wB(e.inputNames[0],t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return bW(e,t,n);case"convolution":return JI((function(){return function(e,t,n){switch(e.op){case"Conv1D":var r=xB("stride",e,t,n),a=xB("pad",e,t,n),i=xB("dataFormat",e,t,n).toUpperCase(),o=xB("dilation",e,t,n);return[nT(xB("x",e,t,n),xB("filter",e,t,n),r,a,i,o)];case"Conv2D":var s=xB("strides",e,t,n),u=SB(e,t,n),l=xB("dataFormat",e,t,n).toUpperCase(),c=xB("dilations",e,t,n);return[tT(xB("x",e,t,n),xB("filter",e,t,n),[s[1],s[2]],u,l,[c[1],c[2]])];case"_FusedConv2D":var p=xW(e,t,n),h=p.stride,f=p.pad,d=p.dataFormat,m=p.dilations,v=p.biasArg,g=p.preluArg,y=p.activationFunc,b=p.leakyreluAlpha;return[bR({x:xB("x",e,t,n),filter:xB("filter",e,t,n),strides:[h[1],h[2]],pad:f,dataFormat:d,dilations:[m[1],m[2]],bias:v,activation:y,preluActivationWeights:g,leakyreluAlpha:b})];case"FusedDepthwiseConv2dNative":var x=xW(e,t,n),w=x.stride,k=x.pad,N=x.dataFormat,I=x.dilations,S=x.biasArg,T=x.preluArg,E=x.activationFunc,C=x.leakyreluAlpha;return[kR({x:xB("x",e,t,n),filter:xB("filter",e,t,n),strides:[w[1],w[2]],pad:k,dataFormat:N,dilations:[I[1],I[2]],bias:S,activation:E,preluActivationWeights:T,leakyreluAlpha:C})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=xB("outputShape",e,t,n),A=xB("strides",e,t,n),_=SB(e,t,n);return[aT(xB("x",e,t,n),xB("filter",e,t,n),R,[A[1],A[2]],_)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=xB("strides",e,t,n),D=SB(e,t,n),O=xB("dilations",e,t,n),M=xB("dataFormat",e,t,n).toUpperCase();return[fT(xB("input",e,t,n),xB("filter",e,t,n),[F[1],F[2]],D,M,[O[1],O[2]])];case"Conv3D":var L=xB("strides",e,t,n),z=xB("pad",e,t,n),P=xB("dataFormat",e,t,n).toUpperCase(),B=xB("dilations",e,t,n);return[iT(xB("x",e,t,n),xB("filter",e,t,n),[L[1],L[2],L[3]],z,P,[B[1],B[2],B[3]])];case"AvgPool":var W=xB("strides",e,t,n),U=xB("pad",e,t,n),V=xB("kernelSize",e,t,n);return[OS(xB("x",e,t,n),[V[1],V[2]],[W[1],W[2]],U)];case"MaxPool":var G=xB("strides",e,t,n),j=xB("pad",e,t,n),H=xB("kernelSize",e,t,n);return[dE(xB("x",e,t,n),[H[1],H[2]],[G[1],G[2]],j)];case"MaxPoolWithArgmax":var q=xB("strides",e,t,n),K=xB("pad",e,t,n),X=xB("kernelSize",e,t,n),Y=xB("includeBatchInIndex",e,t,n),J=vE(xB("x",e,t,n),[X[1],X[2]],[q[1],q[2]],K,Y);return[J.result,J.indexes];case"AvgPool3D":var Z=xB("strides",e,t,n),Q=xB("pad",e,t,n),$=xB("kernelSize",e,t,n);return[MS(xB("x",e,t,n),[$[1],$[2],$[3]],[Z[1],Z[2],Z[3]],Q)];case"MaxPool3D":var ee=xB("strides",e,t,n),te=xB("pad",e,t,n),ne=xB("kernelSize",e,t,n);return[mE(xB("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"Dilation2D":var re=xB("strides",e,t,n),ae=xB("pad",e,t,n),ie=xB("dilations",e,t,n),oe=re[1],se=re[2],ue=ie[1],le=ie[2];return[mT(xB("x",e,t,n),xB("filter",e,t,n),[oe,se],ae,[ue,le],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return JI((function(){return function(e,t,n){switch(e.op){case"Fill":var r=xB("shape",e,t,n),a=xB("dtype",e,t,n);return[RT(r,xB("value",e,t,n),a)];case"LinSpace":return[UT(xB("start",e,t,n),xB("stop",e,t,n),xB("num",e,t,n))];case"Multinomial":var i=xB("logits",e,t,n),o=xB("numSamples",e,t,n),s=xB("seed",e,t,n);return[RE(i,o,s)];case"OneHot":var u=xB("indices",e,t,n),l=xB("depth",e,t,n),c=xB("onValue",e,t,n),p=xB("offValue",e,t,n);return[eI(u,l,c,p)];case"Ones":return[xE(xB("shape",e,t,n),xB("dtype",e,t,n))];case"OnesLike":return[_E(xB("x",e,t,n))];case"RandomUniform":return[rC(xB("shape",e,t,n),xB("minval",e,t,n),xB("maxval",e,t,n),xB("dtype",e,t,n))];case"Range":return[aC(xB("start",e,t,n),xB("stop",e,t,n),xB("step",e,t,n),xB("dtype",e,t,n))];case"TruncatedNormal":var h=xB("shape",e,t,n),f=xB("mean",e,t,n),d=xB("stdDev",e,t,n),m=xB("seed",e,t,n);return[KC(h,f,d,xB("dtype",e,t,n),m)];case"Zeros":return[bE(xB("shape",e,t,n),xB("dtype",e,t,n))];case"ZerosLike":return[yT(xB("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return kW(e,t,n);case"evaluation":return JI((function(){return function(e,t,n){switch(e.op){case"TopKV2":var r=xB("x",e,t,n),a=xB("k",e,t,n),i=xB("sorted",e,t,n),o=qC(r,a,i);return[o.values,o.indices];case"Unique":var s=xB("x",e,t,n),u=XC(s);return[u.values,u.indices];case"UniqueV2":var l=xB("x",e,t,n),c=xB("axis",e,t,n),p=XC(l,c);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return JI((function(){return function(e,t,n){switch(e.op){case"ResizeBilinear":var r=xB("images",e,t,n),a=xB("size",e,t,n),i=xB("alignCorners",e,t,n),o=xB("halfPixelCenters",e,t,n);return[SA.resizeBilinear(r,[a[0],a[1]],i,o)];case"ResizeNearestNeighbor":var s=xB("images",e,t,n),u=xB("size",e,t,n),l=xB("alignCorners",e,t,n),c=xB("halfPixelCenters",e,t,n);return[SA.resizeNearestNeighbor(s,[u[0],u[1]],l,c)];case"CropAndResize":var p=xB("image",e,t,n),h=xB("boxes",e,t,n),f=xB("boxInd",e,t,n),d=xB("cropSize",e,t,n),m=xB("method",e,t,n),v=xB("extrapolationValue",e,t,n);return[SA.cropAndResize(p,h,f,d,m,v)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return JI((function(){return function(e,t,n){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=xB("default",e,t,n);return[wB(e.name,t,n)||r];case"Placeholder":return[wB(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[TB(xB("x",e,t,n))];case"IdentityN":return xB("x",e,t,n).map((function(e){return TB(e)}));case"Snapshot":return[TB(xB("x",e,t,n))];case"Shape":return[UC(xB("x",e,t,n).shape,"int32")];case"ShapeN":return xB("x",e,t,n).map((function(e){return UC(e.shape)}));case"Size":return[vC(xB("x",e,t,n).size,"int32")];case"Rank":return[vC(xB("x",e,t,n).rank,"int32")];case"NoOp":return[vC(1)];case"Print":var a=xB("x",e,t,n),i=xB("data",e,t,n),o=xB("message",e,t,n),s=xB("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return JI((function(){return function(e,t,n){switch(e.op){case"Equal":return[vT(xB("a",e,t,n),xB("b",e,t,n))];case"NotEqual":return[AE(xB("a",e,t,n),xB("b",e,t,n))];case"Greater":return[FT(xB("a",e,t,n),xB("b",e,t,n))];case"GreaterEqual":return[DT(xB("a",e,t,n),xB("b",e,t,n))];case"Less":return[BT(xB("a",e,t,n),xB("b",e,t,n))];case"LessEqual":return[WT(xB("a",e,t,n),xB("b",e,t,n))];case"LogicalAnd":return[cE(xB("a",e,t,n),xB("b",e,t,n))];case"LogicalNot":return[pE(xB("a",e,t,n))];case"LogicalOr":return[hE(xB("a",e,t,n),xB("b",e,t,n))];case"Select":case"SelectV2":return[gT(xB("condition",e,t,n),xB("a",e,t,n),xB("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return JI((function(){return function(e,t,n){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[$N(xB("a",e,t,n),xB("b",e,t,n),xB("transposeA",e,t,n),xB("transposeB",e,t,n))];case"Einsum":return[wT.apply(uW,[xB("equation",e,t,n)].concat(xB("tensors",e,t,n)))];case"Transpose":return[tI(xB("x",e,t,n),xB("perm",e,t,n))];case"_FusedMatMul":var r=xB("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=xB("numArgs",e,t,n),l=xB("leakyreluAlpha",e,t,n);if(o){if(s&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=xB("args",e,t,n),p=c[0],h=c[1];return[NR({a:xB("a",e,t,n),b:xB("b",e,t,n),transposeA:xB("transposeA",e,t,n),transposeB:xB("transposeB",e,t,n),bias:p,activation:i,preluActivationWeights:h,leakyreluAlpha:l})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return JI((function(){return function(e,t,n){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[VS(xB("x",e,t,n),xB("mean",e,t,n),xB("variance",e,t,n),xB("offset",e,t,n),xB("scale",e,t,n),xB("epsilon",e,t,n))];case"LRN":return[VT(xB("x",e,t,n),xB("radius",e,t,n),xB("bias",e,t,n),xB("alpha",e,t,n),xB("beta",e,t,n))];case"Softmax":return[CC(xB("x",e,t,n))];case"LogSoftmax":return[eE(xB("x",e,t,n))];case"SparseToDense":return[sR(xB("sparseIndices",e,t,n),xB("outputShape",e,t,n),xB("sparseValues",e,t,n),xB("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return JI((function(){return function(e,t,n){switch(e.op){case"Max":var r=xB("axis",e,t,n),a=xB("keepDims",e,t,n);return[ZT(xB("x",e,t,n),r,a)];case"Mean":var i=xB("axis",e,t,n),o=xB("keepDims",e,t,n);return[yE(xB("x",e,t,n),i,o)];case"Min":var s=xB("axis",e,t,n),u=xB("keepDims",e,t,n);return[kE(xB("x",e,t,n),s,u)];case"Sum":var l=xB("axis",e,t,n),c=xB("keepDims",e,t,n);return[$T(xB("x",e,t,n),l,c)];case"All":var p=xB("axis",e,t,n),h=xB("keepDims",e,t,n);return[cS(xB("x",e,t,n),p,h)];case"Any":var f=xB("axis",e,t,n),d=xB("keepDims",e,t,n);return[pS(xB("x",e,t,n),f,d)];case"ArgMax":var m=xB("axis",e,t,n);return[hS(xB("x",e,t,n),m)];case"ArgMin":var v=xB("axis",e,t,n);return[fS(xB("x",e,t,n),v)];case"Prod":var g=xB("axis",e,t,n),y=xB("keepDims",e,t,n);return[VE(xB("x",e,t,n),g,y)];case"Cumsum":var b=xB("axis",e,t,n),x=xB("exclusive",e,t,n),w=xB("reverse",e,t,n);return[cT(xB("x",e,t,n),b,x,w)];case"Bincount":var k=xB("x",e,t,n),N=xB("weights",e,t,n),I=xB("size",e,t,n);return[qS(k,N,I)];case"DenseBincount":var S=xB("x",e,t,n),T=xB("weights",e,t,n),E=xB("size",e,t,n),C=xB("binaryOutput",e,t,n);return[pT(S,T,E,C)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return JI((function(){return function(e,t,n){switch(e.op){case"ConcatV2":case"Concat":var r=xB("n",e,t,n),a=xB("axis",e,t,n),i=xB("tensors",e,t,n);return i=i.slice(0,r),[LS(i,a)];case"Gather":var o=xB("x",e,t,n),s=xB("indices",e,t,n);return[_T(o,FN(s,"int32"),0)];case"GatherV2":var u=xB("axis",e,t,n),l=xB("batchDims",e,t,n),c=xB("x",e,t,n),p=xB("indices",e,t,n);return[_T(c,FN(p,"int32"),u,l)];case"Reverse":for(var h=xB("dims",e,t,n),f=[],d=0;d<h.length;d++)h[d]&&f.push(d);var m=xB("x",e,t,n);return[lC(m,f)];case"ReverseV2":var v=xB("axis",e,t,n),g=xB("x",e,t,n);return[lC(g,v)];case"Slice":var y=xB("begin",e,t,n),b=xB("size",e,t,n);return[PS(xB("x",e,t,n),y,b)];case"StridedSlice":var x=xB("begin",e,t,n),w=xB("end",e,t,n),k=xB("strides",e,t,n),N=xB("beginMask",e,t,n),I=xB("endMask",e,t,n),S=xB("ellipsisMask",e,t,n),T=xB("newAxisMask",e,t,n),E=xB("shrinkAxisMask",e,t,n),C=xB("x",e,t,n);return[BC(C,x,w,k,N,I,S,T,E)];case"Pack":return JI((function(){var r=xB("axis",e,t,n),a=xB("tensors",e,t,n),i=a[0].shape,o=LC(a[0]).shape,s=a.map((function(e){var t=qv(e.shape,i);if(!t&&!qv(LC(e).shape,o))throw new Error("the input tensors shape does not match");return t?e:DS(e,i)}));return[zC(s,r)]}));case"Unpack":var R=xB("axis",e,t,n),A=xB("tensor",e,t,n);return JC(A,R);case"Tile":var _=xB("reps",e,t,n);return[ET(xB("x",e,t,n),_)];case"Split":case"SplitV":var F=xB("axis",e,t,n),D=xB("numOrSizeSplits",e,t,n),O=xB("x",e,t,n);return FC(O,D,F);case"ScatterNd":var M=xB("indices",e,t,n),L=xB("values",e,t,n),z=xB("shape",e,t,n);return[oR(M,L,z)];case"GatherNd":var P=xB("x",e,t,n),B=xB("indices",e,t,n);return[uR(P,B)];case"SparseToDense":var W=xB("sparseIndices",e,t,n),U=xB("outputShape",e,t,n),V=xB("sparseValues",e,t,n),G=xB("defaultValue",e,t,n);return[sR(W,V,U,V.dtype===G.dtype?G:FN(G,V.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"sparse":return JI((function(){return function(e,t,n){switch(e.op){case"SparseFillEmptyRows":var r=CA.sparseFillEmptyRows(xB("indices",e,t,n),xB("values",e,t,n),xB("denseShape",e,t,n),xB("defaultValue",e,t,n));return[r.outputIndices,r.outputValues,r.emptyRowIndicator,r.reverseIndexMap];case"SparseReshape":var a=CA.sparseReshape(xB("inputIndices",e,t,n),xB("inputShape",e,t,n),xB("newShape",e,t,n));return[a.outputIndices,a.outputShape];case"SparseSegmentMean":return[CA.sparseSegmentMean(xB("data",e,t,n),xB("indices",e,t,n),xB("segmentIds",e,t,n))];case"SparseSegmentSum":return[CA.sparseSegmentSum(xB("data",e,t,n),xB("indices",e,t,n),xB("segmentIds",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return JI((function(){return function(e,t,n){switch(e.op){case"FFT":return[RC(xB("x",e,t,n))];case"IFFT":return[AC(xB("x",e,t,n))];case"RFFT":return[DC(xB("x",e,t,n))];case"IRFFT":return[_C(xB("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"string":return JI((function(){return function(e,t,n){switch(e.op){case"StringNGrams":var r=RA.stringNGrams(xB("data",e,t,n),xB("dataSplits",e,t,n),xB("separator",e,t,n),xB("nGramWidths",e,t,n),xB("leftPad",e,t,n),xB("rightPad",e,t,n),xB("padWidth",e,t,n),xB("preserveShortSequences",e,t,n));return[r.nGrams,r.nGramsSplits];case"StringSplit":var a=RA.stringSplit(xB("input",e,t,n),xB("delimiter",e,t,n),xB("skipEmpty",e,t,n));return[a.indices,a.values,a.shape];case"StringToHashBucketFast":return[RA.stringToHashBucketFast(xB("input",e,t,n),xB("numBuckets",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return JI((function(){return function(e,t,n){switch(e.op){case"Cast":return[FN(xB("x",e,t,n),xB("dtype",e,t,n))];case"ExpandDims":var r=xB("axis",e,t,n);return[ST(xB("x",e,t,n),r)];case"Squeeze":var a=xB("axis",e,t,n);return[LC(xB("x",e,t,n),a)];case"Reshape":return[DS(xB("x",e,t,n),xB("shape",e,t,n))];case"MirrorPad":return[IE(xB("x",e,t,n),xB("padding",e,t,n),xB("mode",e,t,n))];case"PadV2":case"Pad":return[DE(xB("x",e,t,n),xB("padding",e,t,n),xB("constantValue",e,t,n))];case"SpaceToBatchND":var i=xB("blockShape",e,t,n),o=xB("paddings",e,t,n);return[PE(xB("x",e,t,n),i,o)];case"BatchToSpaceND":var s=xB("blockShape",e,t,n),u=xB("crops",e,t,n);return[US(xB("x",e,t,n),s,u)];case"DepthToSpace":var l=xB("blockSize",e,t,n),c=xB("dataFormat",e,t,n).toUpperCase();return[hT(xB("x",e,t,n),l,c)];case"BroadcastTo":return[XS(xB("x",e,t,n),xB("shape",e,t,n))];case"BroadcastArgs":return[KS(xB("s0",e,t,n),xB("s1",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return IW(e,t,n,r);case"custom":var a=bB(e.op);if(a&&a.customExecutor)return a.customExecutor(new sW(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return Ng(a)?a.then((function(e){return[].concat(e)})):[].concat(a)}var TW=function(){function e(e,t,n,r){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var t=e.prototype;return t.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},t.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},t.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},t.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.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.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 e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.getWeight=function(e){return this.weightMap[e]},t.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},t.getTensorArray=function(e){return this.tensorArrayMap[e]},t.addTensorList=function(e){this.tensorListMap[e.id]=e},t.getTensorList=function(e){return this.tensorListMap[e]},t.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)},kv(e,[{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}}]),e}();function EW(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=Object.keys(e).map((function(e){return IB(e)[0]})),c=[];null!=r&&(c=r.map((function(e){return IB(e.name)[0]})));for(var p=[].concat(t);p.length>0;){var h=p.pop();(_W(h)||FW(h)||DW(h))&&null==o&&(s=(o=h).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(h.name),null==n[h.name]&&(-1===l.indexOf(h.name)&&-1===c.indexOf(h.name)&&(0!==h.inputs.length?h.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),p.push(e))})):i.push(h.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var CW=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],RW=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],AW=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function _W(e){return CW.indexOf(e.op)>=0}function FW(e){return RW.indexOf(e.op)>=0}function DW(e){return AW.indexOf(e.op)>=0}var OW=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t=e.prototype;return t.getCompilationKey=function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.compile=function(e,t){var n=EW(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '"+a.name+"', which has the dynamic op '"+a.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+i+"]");if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(e,t,n){var r=n.usedNodes,a=n.inputs,i=[],o=Object.keys(a).map((function(e){return IB(e)[0]})).map((function(t){return e.nodes[t]})),s=e.initNodes;o.forEach((function(e){r.has(e.name)&&i.push(e)})),e.weights.forEach((function(e){r.has(e.name)&&i.push(e)})),null!=s&&s.forEach((function(e){r.has(e.name)&&i.push(e)}));for(var u=new Set,l=[];i.length>0;){var c=i.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach((function(e){!u.has(e.name)&&r.has(e.name)&&e.inputs.every((function(e){return u.has(e.name)}))&&i.push(e)}))}return l}(this.graph,this.weightMap,n)},t.execute=function(e,t){var n=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[IB(e)[0]]})),i=t.map((function(e){return IB(e)[0]})),o=i.map((function(e){return n.graph.nodes[e]}));this.resetIntermediateTensors(),0===o.length&&(o=this._outputs);var s=this.getCompilationKey(a,o),u=this.compiledMap.get(s);null==u&&(u=this.compile(e,o),this.compiledMap.set(s,u));var l={},c={};return JI((function(){var r=new TW(n.weightMap,l,c,n.functionExecutorMap),a=Object.assign({},n.weightMap);Object.keys(e).forEach((function(t){var n=IB(t),r=n[0],i=[];i[n[1]]=e[t],a[r]=i}));for(var o=n.getFrozenTensorIds(a),s={},p=0;p<u.length;p++){var h=u[p];if(!a[h.name]){var f=SW(h,a,r,n._resourceManager);if(Ng(f))throw new Error("The execution of the op '"+h.op+"' returned a promise. Please use model.executeAsync() instead.");a[h.name]=f,n.checkTensorForDisposal(h.name,h,a,r,o,i,s)}}return null==n.parent&&r.dispose(o),t.map((function(e){return wB(e,a,r)}))}))},t.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)},t.checkTensorForDisposal=function(e,t,n,r,a,i,o){var s=this;"control"!==t.category&&-1===i.indexOf(e)&&(n[e].forEach((function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)})),t.inputs.forEach((function(e){if("control"!==e.category){var i=function(e,t,n){return t[NB(e,n.currentContextId)]}(e.name,n,r);null!=i&&i.forEach((function(e){if(e&&!e.kept&&!a.has(e.id)){var n=o[e.id];if(1===n){if(s.keepTensorForDebug){var i=kB(t.name,r),u=i[0],l=i[1];s.intermediateTensors[u]||(s.intermediateTensors[u]=[]),s.intermediateTensors[u][l]=e}else e.dispose();delete o[e.id]}else null!=n&&o[e.id]--}}))}})))},t.executeAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.disposeIntermediateTensors=function(){var e=this;this.intermediateTensors&&(Object.keys(this.intermediateTensors).forEach((function(t){return e.intermediateTensors[t].forEach((function(e){return e.dispose()}))})),this.disposeTensorsMap())},t.disposeTensorsMap=function(){var e=this;this.tensorsMap&&Object.keys(this.tensorsMap).forEach((function(t){e.tensorsMap[t].forEach((function(t){!t||t.kept||t.isDisposed||e.keepIds.has(t.id)||t.dispose()}))}))},t.getIntermediateTensors=function(){return this.tensorsMap},t.resetIntermediateTensors=function(){for(var e in this.intermediateTensors)this.intermediateTensors[e].forEach((function(e){return e.dispose()})),delete this.intermediateTensors[e]},t._executeAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r,a,i){var o,s,u,l,c=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===r&&(r=!1),void 0===a&&(a={}),void 0===i&&(i={}),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepTensorForDebug=Rg().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){console.warn(e.message)}return this.resetIntermediateTensors(),o=new TW(this.weightMap,a,i,this.functionExecutorMap),e.next=9,this.executeWithControlFlow(t,o,n,r);case 9:return this.tensorsMap=e.sent,s=n.map((function(e){return wB(e,c.tensorsMap,o)})),u=s.map((function(e){return e.id})),l=Object.keys(t).map((function(e){return t[e].id})),this.keepIds=new Set([].concat(u,l,this.weightIds)),this.keepTensorForDebug||this.disposeTensorsMap(),null==this.parent&&o.dispose(this.keepIds),e.abrupt("return",s);case 17:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),t.executeFunctionAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),t.executeWithControlFlow=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),o=i.map((function(e){return k.graph.nodes[IB(e)[0]]})),s=r.map((function(e){return IB(e)[0]})),0===(u=s.map((function(e){return k.graph.nodes[e]}))).length&&(u=this._outputs),l=EW(t,u,this.weightMap,this._initNodes),c=l.usedNodes,p=l.missingInputs,h=l.dynamicNode,f=l.syncInputs,d=[].concat(o,this.graph.weights,this._initNodes||[]).map((function(e){return{node:e,contexts:n.currentContext}})),m=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=IB(e),r=n[0],a=[];a[n[1]]=t[e],m[r]=a})),v={},g=this.getFrozenTensorIds(m),y={};case 12:if(!(d.length>0)){e.next=18;break}return b=this.processStack(o,d,n,m,y,g,s,v,c),e.next=16,Promise.all(b);case 16:e.next=12;break;case 18:if(null!=h||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),!((x=u.filter((function(e){return!_W(e)&&!wB(e.name,m,n)})).map((function(e){return e.name}))).length>0)){e.next=24;break}throw w="",null!=h&&(w="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+x+"] from the provided inputs ["+i+"]. Consider providing the following inputs: ["+p+"]. "+w);case 24:return e.abrupt("return",m);case 25:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),t.processStack=function(e,t,n,r,a,i,o,s,u){for(var l=this,c=[],p=function(){var e=t.pop();n.currentContext=e.contexts;var p="";if("Enter"===e.node.op&&xB("isConstant",e.node,r,n)){var h=kB(e.node.name,n);p=h[0]}if(null==r[e.node.name]){var f=SW(e.node,r,n,l._resourceManager);if(!p){var d=kB(e.node.name,n);p=d[0]}var m=n.currentContext;Ng(f)?c.push(f.then((function(c){return r[p]=c,n.currentContext=m,l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u),c}))):(r[p]=f,l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u))}else l.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)p();return c},t.processChildNodes=function(e,t,n,r,a,i){e.children.forEach((function(e){var o=kB(e.name,n)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!wB(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!wB(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))},t.dispose=function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))},t.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=IB(n)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value;Uv(o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e})),(function(){return"The shape of dict['"+i.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+r.shape+"]"}))}i.attrParams.dtype&&i.attrParams.dtype.value&&Uv(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['"+i.name+"'] provided in model.execute(dict) must be "+i.attrParams.dtype.value+", but was "+r.dtype}))}))},t.mapInputs=function(e){var t={};for(var n in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n])t[this._signature.inputs[n].name]=e[n];else t[n]=e[n]}return t},t.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=IB(e)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+n+"] that are not part of graph")},t.mapOutputs=function(e){var t=this;return e.map((function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e}),{})},t.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=IB(e)[0];if(!t.graph.nodes[n])throw new Error("The output '"+e+"' is not found in the graph")}))},kv(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,n),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?t+":"+e.defaultOutput:t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}}]),e}(),MW=function(){function e(e,t){void 0===e&&(e={}),void 0===t&&(t={}),this.hashTableNameToHandle=e,this.hashTableMap=t}var t=e.prototype;return t.addHashTable=function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t},t.getHashTableHandleByName=function(e){return this.hashTableNameToHandle[e]},t.getHashTableById=function(e){return this.hashTableMap[e]},t.dispose=function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]},e}(),LW="?tfjs-format=file",zW="model.json",PW=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={}),this.resourceManager=new MW}var t=e.prototype;return t.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=YN(e,this.loadOptions);else{var t=Xk(e,this.loadOptions);if(0===t.length)t.push(YN(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},t.load=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.findIOHandler(),null!=this.handler.load){e.next=3;break}throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");case 3:return e.next=5,this.handler.load();case 5:return t=e.sent,e.abrupt("return",this.loadSync(t));case 7:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.loadSync=function(e){this.artifacts=e;var t,n=this.artifacts.modelTopology;t=null!=this.artifacts.userDefinedMetadata&&null!=this.artifacts.userDefinedMetadata.signature?this.artifacts.userDefinedMetadata.signature:this.artifacts.signature,this.signature=t,this.version=n.versions.producer+"."+n.versions.minConsumer;var r=Dk(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new OW(qB.Instance.transformGraph(n,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var a=qB.Instance.transformGraph(e.modelInitializer);this.initializer=new OW(a),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0},t.save=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=Kk(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.predict=function(e,t){return this.execute(e,this.outputNodes)},t.normalizeInputs=function(e){if(!(e instanceof qw||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[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.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},t.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},t.executeAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=4,this.executor.executeAsync(t,n);case 4:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 6:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.getIntermediateTensors=function(){return this.executor.getIntermediateTensors()},t.disposeIntermediateTensors=function(){this.executor.disposeIntermediateTensors()},t.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})},t.dispose=function(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()},kv(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}}]),e}();function BW(){return(BW=xv(regeneratorRuntime.mark((function e(t,n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),null!=t){e.next=3;break}throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");case 3:return null==n&&(n={}),n.fromTFHub&&null==t.load&&(t.endsWith("/")||(t+="/"),t=""+t+zW+LW),r=new PW(t,n),e.next=8,r.load();case 8:return e.abrupt("return",r);case 9:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var WW="3.14.0";function UW(e,t,n,r){if(void 0===n&&(n=new Map),void 0===r&&(r=new Set),null==e)return null;if("function"==typeof Blob&&e instanceof Blob)return e.slice();if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(KW(e)){var i=Array.isArray(e)?[]:{};for(var o in r.add(e),e){var s=UW(e[o],t,n,r);i[o]=s}return r.delete(e),e.__proto__&&(i.__proto__=e.__proto__),i}throw new Error("Can't recurse into non-iterable type: "+e)}return n.set(e,a.value),a.value}function VW(e,t){return void 0===t&&(t=jW),GW(e,t)}function GW(e,t,n){void 0===n&&(n=new Set);var r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(KW(r)){var i=Array.isArray(r)?[]:{};n.add(r);var o=function(r){var a=GW(e.map((function(e){return e[r]})),t,n);i[r]=a};for(var s in r)o(s);return n.delete(r),i}throw new Error("Can't recurse into non-iterable type: "+r)}return a.value}function jW(e){return null===e?null:KW(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}function HW(e,t){return qW.apply(this,arguments)}function qW(){return(qW=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=new Map,UW(t,n,r),a=0,i=Array.from(r.keys());case 3:if(!(a<i.length)){e.next=14;break}if(o=i[a],!Ng(s=r.get(o))){e.next=11;break}return e.next=9,s;case 9:u=e.sent,r.set(o,u);case 11:a++,e.next=3;break;case 14:return l=UW(t,n,r),e.abrupt("return",l);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function KW(e){var t=!1;Rg().get("IS_BROWSER")?t=e instanceof TextDecoder:t=e instanceof require("string_decoder").StringDecoder;return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"==typeof e&&!(e instanceof qw)&&!(e instanceof Promise)&&!t)}function XW(e){return function(e,t){return UW(e,t)}(e,YW)}function YW(e){return e instanceof qw?{value:e.clone(),recurse:!1}:KW(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var JW=function(){function e(e){if(this.capacity=e,this.begin=0,this.end=0,null==e)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}var t=e.prototype;return t.wrap=function(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity},t.get=function(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]},t.set=function(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t},t.length=function(){var e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e},t.isFull=function(){return this.length()===this.capacity},t.isEmpty=function(){return 0===this.length()},t.push=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)},t.pushAll=function(e){for(var t,n=Fv(e);!(t=n()).done;){var r=t.value;this.push(r)}},t.pop=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var e=this.get(this.end);return this.set(this.end,void 0),e},t.unshift=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)},t.shift=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e},t.shuffleExcise=function(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n},e}(),ZW=function(e){function t(){return e.call(this,t.INITIAL_CAPACITY)||this}Nv(t,e);var n=t.prototype;return n.isFull=function(){return!1},n.push=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.push.call(this,t)},n.unshift=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.unshift.call(this,t)},n.expand=function(){for(var e=2*this.capacity,t=new Array(e),n=this.length(),r=0;r<n;r++)t[r]=this.get(this.wrap(this.begin+r));this.data=t,this.capacity=e,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=n},t}(JW);function QW(e){return new aU(e)}function $W(e){return new iU(e)}function eU(e,t){return new vU(e,t)}function tU(e,t){return void 0===t&&(t=nU.FAIL),new gU(e,t)}ZW.INITIAL_CAPACITY=32;var nU,rU=function(){function e(){}var t=e.prototype;return t.toArray=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],e.next=3,this.next();case 3:n=e.sent;case 4:if(n.done){e.next=11;break}return t.push(n.value),e.next=8,this.next();case 8:n=e.sent,e.next=4;break;case 11:return e.abrupt("return",t);case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.toArrayForTest=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.prefetch(100),n=[],e.next=4,t.next();case 4:r=e.sent;case 5:if(r.done){e.next=12;break}return n.push(r.value),e.next=9,t.next();case 9:r=e.sent,e.next=5;break;case 12:return e.abrupt("return",n);case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveFully=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:t=e.sent;case 3:if(t.done){e.next=9;break}return e.next=6,this.next();case 6:t=e.sent,e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveWhile=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:n=e.sent,r=t(n.value);case 4:if(n.done||!r){e.next=11;break}return e.next=7,this.next();case 7:n=e.sent,r=t(n.value),e.next=4;break;case 11:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.handleErrors=function(e){return new hU(this,e)},t.filter=function(e){return new cU(this,e)},t.map=function(e){return new pU(this,e)},t.mapAsync=function(e){return new fU(this,e)},t.serialMapAsync=function(e){return new fU(this,e).serial()},t.flatmap=function(e){return new mU(this,e)},t.forEachAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.map(t).resolveFully());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.serialForEach=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.serialMapAsync(t).resolveWhile((function(e){return!0===e})));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.rowMajorBatch=function(e,t){return void 0===t&&(t=!0),new lU(this,e,t)},t.columnMajorBatch=function(e,t,n){return void 0===t&&(t=!0),void 0===n&&(n=jW),this.rowMajorBatch(e,t).map((function(e){return VW(e,n)}))},t.concatenate=function(e,t){return new vU(QW([this,e]),t)},t.take=function(e){return e<0||null==e?this:new uU(this,e)},t.skip=function(e){return e<0||null==e?this:new sU(this,e)},t.prefetch=function(e){return new yU(this,e)},t.shuffle=function(e,t){return new bU(this,e,t)},t.serial=function(){return new oU(this)},e}(),aU=function(e){function t(t){var n;return(n=e.call(this)||this).items=t,n.trav=0,n}Nv(t,e);var n=t.prototype;return n.summary=function(){return"Array of "+this.items.length+" items"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.trav>=this.items.length)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return t=this.items[this.trav],this.trav++,e.abrupt("return",{value:XW(t),done:!1});case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),iU=function(e){function t(t){var n;return(n=e.call(this)||this).nextFn=t,n}Nv(t,e);var n=t.prototype;return n.summary=function(){return"Function call"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.abrupt("return",this.nextFn());case 4:throw e.prev=4,e.t0=e.catch(0),e.t0.message="Error thrown while iterating through a dataset: "+e.t0.message,e.t0;case 8:case"end":return e.stop()}}),e,this,[[0,4]])})));return function(){return e.apply(this,arguments)}}(),t}(rU),oU=function(e){function t(t){var n;return(n=e.call(this)||this).upstream=t,n.lastRead=Promise.resolve({value:null,done:!1}),n}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Serial"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.upstream.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),sU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Skip"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++<this.maxCount)){e.next=9;break}return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done){e.next=6;break}return e.abrupt("return",t);case 6:ZI(t.value),e.next=0;break;case 9:return e.abrupt("return",this.upstream.next());case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),uU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Take"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++>=this.maxCount)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.abrupt("return",this.upstream.next());case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),lU=function(e){function t(t,n,r){var a;return void 0===r&&(r=!0),(a=e.call(this)||this).upstream=t,a.batchSize=n,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:t=[];case 1:if(!(t.length<this.batchSize)){e.next=12;break}return e.next=4,this.upstream.next();case 4:if(!(n=e.sent).done){e.next=9;break}if(!(this.enableSmallLastBatch&&t.length>0)){e.next=8;break}return e.abrupt("return",{value:t,done:!1});case 8:return e.abrupt("return",{value:null,done:!0});case 9:t.push(n.value),e.next=1;break;case 12:return e.abrupt("return",{value:t,done:!1});case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),cU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.predicate=n,r.lastRead=Promise.resolve({value:null,done:!1}),r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Filter"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done&&!this.predicate(t.value)){e.next=6;break}return e.abrupt("return",t);case 6:ZI(t.value),e.next=0;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),pU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Map"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:for(n=ok(t.value),r=this.transform(t.value),a=ok(r),i=Fv(n);!(o=i()).done;)ik(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),hU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.handler=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> handleErrors"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=1,e.next=4,this.upstream.next();case 4:return e.abrupt("return",e.sent);case 7:if(e.prev=7,e.t0=e.catch(1),this.handler(e.t0)){e.next=11;break}return e.abrupt("return",{value:null,done:!0});case 11:e.next=0;break;case 13:case"end":return e.stop()}}),e,this,[[1,7]])})));return function(){return e.apply(this,arguments)}}(),t}(rU),fU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> AsyncMap"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:return n=ok(t.value),e.next=8,this.transform(t.value);case 8:for(r=e.sent,a=ok(r),i=Fv(n);!(o=i()).done;)ik(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),dU=function(e){function t(){var t;return(t=e.call(this)||this).outputQueue=new ZW,t.lastRead=Promise.resolve({value:null,done:!1}),t}Nv(t,e);var n=t.prototype;return n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(0!==this.outputQueue.length()){e.next=7;break}return e.next=3,this.pump();case 3:if(e.sent){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:e.next=0;break;case 7:return e.abrupt("return",{value:this.outputQueue.shift(),done:!1});case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),mU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Flatmap"},n.pump=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",!1);case 5:for(n=ok(t.value),r=this.transform(t.value),a=ok(r),this.outputQueue.pushAll(r),i=Fv(n);!(o=i()).done;)ik(s=o.value,a)||s.dispose();return e.abrupt("return",!0);case 11:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(dU),vU=function(e){function t(t,n){var r;return(r=e.call(this)||this).baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=t,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.readFromChain(this.lastRead),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.readFromChain=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t;case 2:if(null!=this.iterator){e.next=10;break}return e.next=5,this.moreIterators.next();case 5:if(!(n=e.sent).done){e.next=8;break}return e.abrupt("return",{value:null,done:!0});case 8:this.iterator=n.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler));case 10:return e.next=12,this.iterator.next();case 12:if(!(r=e.sent).done){e.next=16;break}return this.iterator=null,e.abrupt("return",this.readFromChain(t));case 16:return e.abrupt("return",r);case 17:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t}(rU);!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(nU||(nU={}));var gU=function(e){function t(t,n){var r;return void 0===n&&(n=nU.FAIL),(r=e.call(this)||this).iterators=t,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},n.nextState=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=function(e){return e instanceof rU?{value:e.next().then((function(e){return n++,e.done&&r++,e.value})),recurse:!1}:{value:null,recurse:!0}},e.next=3,t;case 3:return n=0,r=0,e.next=7,HW(this.iterators,a);case 7:if(i=e.sent,n!==r){e.next=10;break}return e.abrupt("return",{value:null,done:!0});case 10:if(!(r>0)){e.next=16;break}e.t0=this.mismatchMode,e.next=e.t0===nU.FAIL?14:e.t0===nU.SHORTEST?15:(e.t0,nU.LONGEST,16);break;case 14:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case 15:return e.abrupt("return",{value:null,done:!0});case 16:return this.count++,e.abrupt("return",{value:i,done:!1});case 18:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.currentPromise=this.nextState(this.currentPromise),e.abrupt("return",this.currentPromise);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(rU),yU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.bufferSize=n,r.buffer=new JW(n),r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Prefetch"},n.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},n.next=function(){return this.refill(),this.buffer.shift()},t}(rU),bU=function(e){function t(t,n,r){var a;return(a=e.call(this,t,n)||this).upstream=t,a.windowSize=n,a.upstreamExhausted=!1,a.random=ZE(r||_w().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}Nv(t,e);var n=t.prototype;return n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.randomInt=function(e){return Math.floor(this.random()*e)},n.chooseIndex=function(){return this.randomInt(this.buffer.length())},n.serialNext=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.upstreamExhausted||this.refill();case 1:if(this.buffer.isEmpty()){e.next=14;break}return t=this.chooseIndex(),e.next=5,this.buffer.shuffleExcise(t);case 5:if(!(n=e.sent).done){e.next=10;break}this.upstreamExhausted=!0,e.next=12;break;case 10:return this.refill(),e.abrupt("return",n);case 12:e.next=1;break;case 14:return e.abrupt("return",{value:null,done:!0});case 15:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(yU),xU=function(){function e(){this.size=null}var t=e.prototype;return t.batch=function(e,t){void 0===t&&(t=!0);var n,r=this;return Uv(e>0,(function(){return"batchSize needs to be positive, but it is\n      "+e})),n=this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e),wU(xv(regeneratorRuntime.mark((function n(){return regeneratorRuntime.wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,r.iterator();case 2:return n.abrupt("return",n.sent.columnMajorBatch(e,t,kU));case 3:case"end":return n.stop()}}),n)}))),n)},t.concatenate=function(e){var t,n=this;return t=this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null,wU(xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.t0=t.sent,t.next=5,e.iterator();case 5:return t.t1=t.sent,t.abrupt("return",t.t0.concatenate.call(t.t0,t.t1));case 7:case"end":return t.stop()}}),t)}))),t)},t.filter=function(e){var t,n=this;return t=this.size===1/0?1/0:null,wU(xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.filter((function(t){return JI((function(){return e(t)}))})));case 3:case"end":return t.stop()}}),t)}))),t)},t.forEachAsync=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.iterator();case 2:return e.abrupt("return",e.sent.forEachAsync(t));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.map=function(e){var t=this;return wU(xv(regeneratorRuntime.mark((function n(){return regeneratorRuntime.wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.map((function(t){return JI((function(){return e(t)}))})));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.mapAsync=function(e){var t=this;return wU(xv(regeneratorRuntime.mark((function n(){return regeneratorRuntime.wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.mapAsync(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.prefetch=function(e){if(null==e)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var t=this;return wU(xv(regeneratorRuntime.mark((function n(){return regeneratorRuntime.wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.prefetch(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.repeat=function(e){var t,n=this;return t=null!=this.size&&e>0?this.size*e:0===e?0:null!=this.size&&(void 0===e||e<0)?1/0:null,wU(xv(regeneratorRuntime.mark((function t(){var r;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return r=$W(xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,n.iterator();case 2:return e.t0=e.sent,e.abrupt("return",{value:e.t0,done:!1});case 4:case"end":return e.stop()}}),e)})))),t.abrupt("return",eU(r.take(e)));case 2:case"end":return t.stop()}}),t)}))),t)},t.skip=function(e){var t,n=this;return t=null!=this.size&&e>=0&&this.size>=e?this.size-e:null!=this.size&&(this.size<e||void 0===e||e<0)?0:null,wU(xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.skip(e));case 3:case"end":return t.stop()}}),t)}))),t)},t.shuffle=function(e,t,n){if(void 0===n&&(n=!0),null==e||e<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 r=this,a=ZE(t||_w().toString());return wU(xv(regeneratorRuntime.mark((function t(){var i;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return i=a.int32(),n&&(i+=a.int32()),t.next=4,r.iterator();case 4:return t.abrupt("return",t.sent.shuffle(e,i.toString()));case 5:case"end":return t.stop()}}),t)}))),this.size)},t.take=function(e){var t,n=this;return t=null!=this.size&&this.size>e?e:null!=this.size&&this.size<=e?this.size:null,wU(xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.take(e));case 3:case"end":return t.stop()}}),t)}))),t)},t.toArray=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.size!==1/0){e.next=2;break}throw new Error("Can not convert infinite data stream to array.");case 2:return e.next=4,this.iterator();case 4:return e.abrupt("return",e.sent.toArray());case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.toArrayForTest=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.size!==1/0){e.next=2;break}throw new Error("Can not convert infinite data stream to array.");case 2:return e.next=4,this.iterator();case 4:return e.abrupt("return",e.sent.toArrayForTest());case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),e}();function wU(e,t){return void 0===t&&(t=null),new(function(n){function r(){var e;return(e=n.apply(this,arguments)||this).size=t,e}return Nv(r,n),r.prototype.iterator=function(){var t=xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.abrupt("return",e());case 1:case"end":return t.stop()}}),t)})));return function(){return t.apply(this,arguments)}}(),r}(xU))}function kU(e){return null===e?null:function(e){return null==e||null===(t=e)||"object"!=typeof t&&"function"!=typeof t||Array.isArray(e)||"object"==typeof e&&e instanceof qw||ig(e);var t}(e[0])?{value:function(e){if(0===e.length)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof qw?zC(e):Rk(e)}(e),recurse:!1}:{value:null,recurse:!0}}xU.MAX_BUFFER_SIZE=1e4;var NU=function(e){function t(t){var n;return(n=e.call(this)||this).input=t,n}return Nv(t,e),t.prototype.iterator=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.input.iterator();case 2:return t=e.sent,n=t.decodeUTF8(),r=n.split("\n").map((function(e){return e.endsWith("\r")&&(e=e.slice(0,-1)),e})),e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(xU),IU='"',SU=Symbol("out"),TU=Symbol("field"),EU=Symbol("quote"),CU=Symbol("quoteafterquote"),RU=Symbol("quoteinquote"),AU=function(e){function t(t,n){var r;return(r=e.call(this)||this).input=t,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new NU(t),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(Uv(null==n.delimiter,(function(){return"Delimiter should not be provided when delimWhitespace is true."})),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=n.delimiter?n.delimiter:",",r}Nv(t,e);var n=t.prototype;return n.columnNames=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.columnNamesValidated){e.next=3;break}return e.next=3,this.setColumnNames();case 3:return e.abrupt("return",this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames);case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.setColumnNames=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i,o,s=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.maybeReadHeaderLine();case 2:if(t=e.sent,this.fullColumnNames||t){e.next=7;break}throw new Error("Column names must be provided if there is no header line.");case 7:this.fullColumnNames&&t&&Uv(t.length===this.fullColumnNames.length,(function(){return"The length of provided columnNames ("+s.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."}));case 8:if(this.fullColumnNames||(this.fullColumnNames=t),n=this.fullColumnNames.reduce((function(e,t){return e[t]=e[t]+1||1,e}),{}),Uv(0===(r=Object.keys(n).filter((function(e){return n[e]>1}))).length,(function(){return"Duplicate column names found: "+r.toString()})),!this.columnConfigs){e.next=22;break}a=0,i=Object.keys(this.columnConfigs);case 14:if(!(a<i.length)){e.next=22;break}if(o=i[a],-1!==this.fullColumnNames.indexOf(o)){e.next=19;break}throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");case 19:a++,e.next=14;break;case 22:this.columnNamesValidated=!0;case 23:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.maybeReadHeaderLine=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.hasHeader){e.next=14;break}return e.next=3,this.base.iterator();case 3:return t=e.sent,e.next=6,t.next();case 6:if(!(n=e.sent).done){e.next=9;break}throw new Error("No data was found for CSV parsing.");case 9:return r=n.value,a=this.parseRow(r,!1),e.abrupt("return",a);case 14:return e.abrupt("return",null);case 15:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.iterator=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.columnNamesValidated){e.next=3;break}return e.next=3,this.setColumnNames();case 3:return e.next=5,this.base.iterator();case 5:return t=e.sent,this.hasHeader&&(t=t.skip(1)),e.abrupt("return",t.map((function(e){return n.makeDataElement(e)})));case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.makeDataElement=function(e){for(var t=this.parseRow(e),n={},r={},a=0;a<this.fullColumnNames.length;a++){var i=this.fullColumnNames[a],o=this.columnConfigs?this.columnConfigs[i]:null;if(!this.configuredColumnsOnly||o){var s=t[a],u=null;if(""===s)if(o&&void 0!==o.default)u=o.default;else{if(o&&(o.required||o.isLabel))throw new Error("Required column "+i+" is empty in this line: "+e);u=void 0}else{var l=Number(s);if(isNaN(l))u=o&&"bool"===o.dtype?this.getBoolean(s):s;else if(o&&o.dtype)switch(o.dtype){case"float32":u=l;break;case"int32":u=Math.floor(l);break;case"bool":u=this.getBoolean(s);break;default:u=l}else u=l}o&&o.isLabel?r[i]=u:n[i]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},n.getBoolean=function(e){return"1"===e||"true"===e.toLowerCase()?1:0},n.parseRow=function(e,t){void 0===t&&(t=!0);for(var n=[],r=0,a=e.length,i=SU,o=0;o<a;o++)switch(i){case SU:switch(e.charAt(o)){case IU:r=o+1,i=EU;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),i=SU;break;default:i=TU,r=o}break;case TU:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(r,o)),i=SU,r=o+1}break;case EU:switch(e.charAt(o)){case IU:i=CU}break;case CU:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(r,o-1)),i=SU,r=o+1;break;case IU:i=EU;break;default:i=RU}break;case RU:switch(e.charAt(o)){case IU:i=EU}}if(i===CU?n.push(e.substring(r,a-1)):n.push(e.substring(r)),t&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+n);return n},t}(xU),_U=function(e){function t(t){var n;(n=e.call(this)||this).microphoneConfig=t,n.isClosed=!1,n.fftSize=t.fftSize||1024;var r=Math.log2(n.fftSize);if(n.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got "+n.fftSize);if(n.numFrames=t.numFramesPerSpectrogram||43,n.sampleRateHz=t.sampleRateHz,n.columnTruncateLength=t.columnTruncateLength||n.fftSize,n.audioTrackConstraints=t.audioTrackConstraints,n.smoothingTimeConstant=t.smoothingTimeConstant||0,n.includeSpectrogram=!1!==t.includeSpectrogram,n.includeWaveform=!0===t.includeWaveform,!n.includeSpectrogram&&!n.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return n}Nv(t,e);var n=t.prototype;return n.summary=function(){return"microphone"},t.create=function(){var e=xv(regeneratorRuntime.mark((function e(n){var r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),!Rg().get("IS_NODE")){e.next=3;break}throw new Error("microphone API is only supported in browser environment.");case 3:return r=new t(n),e.next=6,r.start();case 6:return e.abrupt("return",r);case 7:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),n.start=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.next=3,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1});case 3:this.stream=e.sent,e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(0),new Error("Error thrown while initializing video stream: "+e.t0.message);case 9:if(this.stream){e.next=11;break}throw new Error("Could not obtain audio from microphone.");case 11:if(t=window.AudioContext||window.webkitAudioContext,this.audioContext=new t,this.sampleRateHz){e.next=17;break}this.sampleRateHz=this.audioContext.sampleRate,e.next=19;break;case 17:if(this.audioContext.sampleRate===this.sampleRateHz){e.next=19;break}throw new Error("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate);case 19:return n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,n.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),e.abrupt("return");case 27:case"end":return e.stop()}}),e,this,[[0,6]])})));return function(){return e.apply(this,arguments)}}(),n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.next=4,this.getAudioData();case 4:return r=e.sent,this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),t=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(r.timeDataQueue),n=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),e.abrupt("return",{value:{spectrogram:t,waveform:n},done:!1});case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.capture=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.getAudioData=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],n=[],r=0,e.abrupt("return",new Promise((function(e){var i=setInterval((function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-1/0&&e({freqDataQueue:t,timeDataQueue:n}),t.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),n.push(a.timeData.slice())),++r===a.numFrames&&(clearInterval(i),e({freqDataQueue:t,timeDataQueue:n}))}),a.fftSize/a.sampleRateHz*1e3)})));case 4:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),n.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},n.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},n.getSampleRate=function(){return this.sampleRateHz},n.flattenQueue=function(e){var t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((function(e,r){return n.set(e,r*t)})),n},n.getTensorFromAudioDataArray=function(e,t){var n=new Float32Array(Hv(t));return n.set(e,n.length-e.length),Rk(n,t)},t}(rU),FU=function(e){function t(t,n){var r;if((r=e.call(this)||this).webcamVideoElement=t,r.webcamConfig=n,r.isClosed=!0,r.resize=!1,r.needToResize())if(r.resize=!0,r.cropSize=[r.webcamConfig.resizeHeight,r.webcamConfig.resizeWidth],r.cropBoxInd=UC([0],"int32"),r.webcamConfig.centerCrop){var a=1*r.webcamConfig.resizeWidth/r.webcamVideoElement.width,i=1*r.webcamConfig.resizeHeight/r.webcamVideoElement.height,o=(1-a)/2,s=(1-i)/2,u=o+a,l=i+s;r.cropBox=VC([s,o,l,u],[1,4])}else r.cropBox=VC([0,0,1,1],[1,4]);return r}Nv(t,e);var n=t.prototype;return n.summary=function(){return"webcam"},t.create=function(){var e=xv(regeneratorRuntime.mark((function e(n,r){var a;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===r&&(r={}),!Rg().get("IS_NODE")){e.next=3;break}throw new Error("tf.data.webcam is only supported in browser environment.");case 3:if(n){e.next=9;break}if(n=document.createElement("video"),r.resizeWidth&&r.resizeHeight){e.next=7;break}throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");case 7:n.width=r.resizeWidth,n.height=r.resizeHeight;case 9:return a=new t(n,r),e.next=12,a.start();case 12:return e.abrupt("return",a);case 13:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),n.start=function(){var e=xv(regeneratorRuntime.mark((function e(){var t=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.webcamConfig.facingMode&&Uv("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: "+t.webcamConfig.facingMode+". Please provide 'user' or 'environment'"})),e.prev=1,e.next=4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}});case 4:this.stream=e.sent,e.next=11;break;case 7:throw e.prev=7,e.t0=e.catch(1),e.t0.message="Error thrown while initializing video stream: "+e.t0.message,e.t0;case 11:if(this.stream){e.next=13;break}throw new Error("Could not obtain video from webcam.");case 13:try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,e.abrupt("return",new Promise((function(e){t.webcamVideoElement.onloadedmetadata=function(){e()}})));case 17:case"end":return e.stop()}}),e,this,[[1,7]])})));return function(){return e.apply(this,arguments)}}(),n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=fI(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: "+JSON.stringify(e.t0));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: "+e.t1.message);case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])})));return function(){return e.apply(this,arguments)}}(),n.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},n.cropAndResizeFrame=function(e){var t=this;return JI((function(){var n,r=ST(FN(e,"float32"),0),a=(n=SA.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return DS(n,a.slice(1))}))},n.capture=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.stop=function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0},n.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},t}(rU),DU=function(){},OU=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.split=function(e){return new MU(this,e)},t}(rU),MU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.impl=new LU(t,n),r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.impl.summary()},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.impl.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(OU),LU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.separator=n,r.carryover="",r}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},n.pump=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r,a,i;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=9;break}if(""!==this.carryover){e.next=6;break}return e.abrupt("return",!1);case 6:return this.outputQueue.push(this.carryover),this.carryover="",e.abrupt("return",!0);case 9:for((n=t.value.split(this.separator))[0]=this.carryover+n[0],r=Fv(n.slice(0,-1));!(a=r()).done;)i=a.value,this.outputQueue.push(i);return this.carryover=n[n.length-1],e.abrupt("return",!0);case 14:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(dU),zU=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.decodeUTF8=function(){return new PU(this)},t}(rU),PU=function(e){function t(t){var n;return(n=e.call(this)||this).upstream=t,n.impl=new BU(t),n}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.impl.summary()},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.impl.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(OU),BU=function(e){function t(t){var n;if((n=e.call(this)||this).upstream=t,Rg().get("IS_BROWSER"))n.decoder=new TextDecoder("utf-8");else{var r=require("string_decoder").StringDecoder;n.decoder=new r("utf8")}return n}Nv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Utf8"},n.pump=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=7;break}return e.abrupt("return",!1);case 7:n=t.value;case 8:return r=Rg().get("IS_BROWSER")?this.decoder.decode(n,{stream:!0}):this.decoder.write(Buffer.from(n.buffer)),this.outputQueue.push(r),e.abrupt("return",!0);case 11:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(dU),WU=function(e){function t(t,n){var r;return void 0===n&&(n={}),(r=e.call(this)||this).file=t,r.options=n,Uv(t instanceof Uint8Array||!!Rg().get("IS_BROWSER")&&(t instanceof File||t instanceof Blob),(function(){return"FileChunkIterator only supports File, Blob and Uint8Array right now."})),r.offset=n.offset||0,r.chunkSize=n.chunkSize||1048576,r}Nv(t,e);var n=t.prototype;return n.summary=function(){return"FileChunks "+this.file},n.next=function(){var e=xv(regeneratorRuntime.mark((function e(){var t,n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size))){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return t=new Promise((function(e,t){var r=n.offset+n.chunkSize;if(n.file instanceof Uint8Array)e(new Uint8Array(n.file.slice(n.offset,r)));else{var a=new FileReader;a.onload=function(n){var r=a.result;if(r instanceof ArrayBuffer&&(r=new Uint8Array(r)),!(r instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(r)},a.onabort=function(e){return t(new Error("Aborted"))},a.onerror=function(e){return t(new Error(e.type))};var i=n.file.slice(n.offset,r);a.readAsArrayBuffer(i)}n.offset=r})),e.next=5,t;case 5:return e.t0=e.sent,e.abrupt("return",{value:e.t0,done:!1});case 7:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(zU);function UU(e,t,n){return VU.apply(this,arguments)}function VU(){return(VU=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===n&&(n={}),"string"==typeof t?a=t:(a=t.url,i=GU(t)),e.next=4,(r||Fw)(a,i);case 4:if(!(o=e.sent).ok){e.next=14;break}return e.t0=Uint8Array,e.next=9,o.arrayBuffer();case 9:return e.t1=e.sent,s=new e.t0(e.t1),e.abrupt("return",new WU(s,n));case 14:throw new Error(o.statusText);case 15:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var GU=function(e){return{method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity}};function jU(e){return"string"==typeof e&&"file://"===e.substr(0,7)}var HU=function(e){function t(t,n){var r;return void 0===n&&(n={}),(r=e.call(this)||this).input=t,r.options=n,r}return Nv(t,e),t.prototype.iterator=function(){var e=xv(regeneratorRuntime.mark((function e(){var t;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return jU(this.input)&&Rg().get("IS_NODE")&&(t=require("fs"),this.input=t.readFileSync(this.input.substr(7))),e.abrupt("return",new WU(this.input,this.options));case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(DU),qU=function(e){function t(t,n){var r;return void 0===n&&(n={}),(r=e.call(this)||this).url=t,r.fileOptions=n,r}return Nv(t,e),t.prototype.iterator=function(){var e=xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!jU(this.url)){e.next=4;break}return e.abrupt("return",new HU(this.url,this.fileOptions).iterator());case 4:return e.abrupt("return",UU(this.url,this.fileOptions));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(DU);function KU(){return(KU=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",FU.create(t,n));case 1:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function XU(){return(XU=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",_U.create(t));case 1:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var YU="3.14.0",JU={__proto__:null,array:function(e){return wU(xv(regeneratorRuntime.mark((function t(){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.abrupt("return",QW(e));case 1:case"end":return t.stop()}}),t)}))),e.length)},Dataset:xU,zip:function(e){if(!KW(e))throw new Error("The argument to zip() must be an object or array.");var t;if(Array.isArray(e))for(var n=0;n<e.length;n++)t=null==t?e[n].size:Math.min(t,e[n].size);else if(e instanceof Object)for(var r in e)t=null==t?e[r].size:Math.min(t,e[r].size);return wU(xv(regeneratorRuntime.mark((function t(){var n;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,HW(e,(function(e){if(e instanceof xU)return{value:e.iterator(),recurse:!1};if(KW(e))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")}));case 2:return n=t.sent,t.abrupt("return",tU(n,nU.SHORTEST));case 4:case"end":return t.stop()}}),t)}))),t)},CSVDataset:AU,TextLineDataset:NU,csv:function(e,t){return void 0===t&&(t={}),new AU(new qU(e),t)},func:function(e){var t=$W(e);return wU(xv(regeneratorRuntime.mark((function e(){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",t);case 1:case"end":return e.stop()}}),e)}))))},generator:function(e){return wU(xv(regeneratorRuntime.mark((function t(){var n;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,e();case 2:return n=t.sent,t.abrupt("return",$W((function(){return n.next()})));case 4:case"end":return t.stop()}}),t)}))))},microphone:function(e){return XU.apply(this,arguments)},webcam:function(e,t){return KU.apply(this,arguments)},FileDataSource:HU,URLDataSource:qU,version_data:YU};function ZU(e,t){Array.isArray(e)||(e=[e]),e.forEach((function(e){null!=e&&Uv("complex64"!==e.dtype,(function(){return t+" does not support complex64 tensors in the CPU backend."}))}))}var QU=QC,$U=function(e){function t(){var t;return(t=e.call(this)||this).blockSize=48,t.firstUse=!0,t.data=new Dv(Rv(t),XI()),t}Nv(t,e);var n=t.prototype;return n.nextDataId=function(){return t.nextDataId++},n.write=function(e,t,n){this.firstUse&&(this.firstUse=!1,Rg().get("IS_NODE")&&Lx("\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============================"));var r={id:this.nextDataId()};return this.data.set(r,{values:e,dtype:n,refCount:1}),r},n.makeTensorInfo=function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&ug(n[0])){var a=n.map((function(e){return Dw(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return{dataId:r,shape:e,dtype:t}},n.refCount=function(e){return this.data.has(e)?this.data.get(e).refCount:0},n.incRef=function(e){this.data.get(e).refCount++},n.decRef=function(e){this.data.has(e)&&this.data.get(e).refCount--},n.move=function(e,t,n,r,a){this.data.set(e,{values:t,dtype:r,refCount:a})},n.numDataIds=function(){return this.data.numDataIds()},n.read=function(){var e=xv(regeneratorRuntime.mark((function e(t){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.readSync(t));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.readSync=function(e){var t=this.data.get(e),n=t.dtype,r=t.complexTensorInfos;return"complex64"===n?i_(this.readSync(r.real.dataId),this.readSync(r.imag.dataId)):this.data.get(e).values},n.bufferSync=function(e){var t=this.readSync(e.dataId),n=t;if("string"===e.dtype)try{n=t.map((function(e){return Ow(e)}))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return _N(e.shape,e.dtype,n)},n.makeOutput=function(e,t,n){var r=this.write(e,t,n);return XI().makeTensorFromDataId(r,t,n,this)},n.disposeData=function(e,t){if(void 0===t&&(t=!1),this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;var n=this.data.get(e).complexTensorInfos;null!=n&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0},n.disposeIntermediateTensorInfo=function(e){this.disposeData(e.dataId)},n.time=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=_w(),t(),r=_w()-n,e.abrupt("return",{kernelMs:r});case 4:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),n.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."]}},n.where=function(e){ZU([e],"where");var t=this.readSync(e.dataId);return QU(e.shape,t)},n.dispose=function(){},n.floatPrecision=function(){return 32},n.epsilon=function(){return e.prototype.epsilon.call(this)},t}(Ov);function eV(e){for(var t=new Float32Array(e.length),n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}$U.nextDataId=0;var tV={kernelName:Fg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs.x,n=e.backend;ZU(t,"abs");var r=new Float32Array(Hv(t.shape));return r=eV(n.data.get(t.dataId).values),n.makeOutput(r,t.shape,t.dtype)}};function nV(e){return function(t,n,r,a,i){var o=iI(t,n),s=o.length,u=dg(o),l=eg(i,Hv(o)),c=t.length,p=n.length,h=dg(t),f=dg(n),d=rI(t,o),m=rI(n,o);if(d.length+m.length===0)for(var v=0;v<l.length;++v)l[v]=e(r[v%r.length],a[v%a.length]);else for(var g=function(t){var n=kg(t,s,u),i=n.slice(-c);d.forEach((function(e){return i[e]=0}));var o=wg(i,c,h),v=n.slice(-p);m.forEach((function(e){return v[e]=0}));var g=wg(v,p,f);l[t]=e(r[o],a[g])},y=0;y<l.length;++y)g(y);return[l,o]}}function rV(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=n.makeTensorInfo(r.shape,"complex64");return n.data.get(s.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",i),imag:n.makeTensorInfo(a.shape,"float32",o)},s}var aV={kernelName:ay,backendName:"cpu",kernelFunc:rV};function iV(e,t,n){if(void 0===n&&(n="float32"),"complex64"===n)return rV({inputs:{real:iV(e,t,"float32"),imag:iV(e,t,"float32")},backend:e});var r=yg(Hv(t),n);return e.makeTensorInfo(t,n,r)}function oV(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var sV={kernelName:Hy,backendName:"cpu",kernelFunc:oV};function uV(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.real,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var lV={kernelName:Lb,backendName:"cpu",kernelFunc:uV};function cV(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dtype;if("complex64"===i){if("complex64"===a.dtype)return oV({inputs:{x:a},backend:n});var o=iV(n,a.shape,a.dtype),s=cV({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),u=rV({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}if("complex64"===a.dtype){var l=uV({inputs:{input:a},backend:n}),c=cV({inputs:{x:l},backend:n,attrs:{dtype:i}});return n.disposeIntermediateTensorInfo(l),c}if(!ag(a.dtype,i)){var p=oV({inputs:{x:a},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:i}}if("int32"===i){var h=n.data.get(a.dataId).values,f=Int32Array.from(h);return n.makeTensorInfo(a.shape,"int32",f)}if("bool"===i){var d=n.data.get(a.dataId).values,m=Aw([0],a.dtype),v=nV((function(e,t){return e!==t?1:0}))(a.shape,[],d,m,"bool"),g=v[0],y=v[1];return n.makeTensorInfo(y,"bool",g)}throw new Error("Error in Cast: failed to cast "+a.dtype+" to "+i)}var pV={kernelName:ty,backendName:"cpu",kernelFunc:cV};function hV(e,t,n,r){return null==n?function(n){var a=n.inputs,i=n.backend,o=a.a,s=a.b,u=i;ZU([o,s],e);var l=u.data.get(o.dataId).values,c=u.data.get(s.dataId).values,p="string"===o.dtype?z_(l):l,h="string"===o.dtype?z_(c):c,f=r||o.dtype,d=t(o.shape,s.shape,p,h,f),m=d[0],v=d[1];return u.makeTensorInfo(v,f,m)}:function(e){var a=e.inputs,i=e.backend,o=a.a,s=a.b,u=i;if("complex64"===o.dtype||"complex64"===s.dtype){var l=cV({inputs:{x:o},backend:u,attrs:{dtype:"complex64"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,h=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(h.dataId).values,m=cV({inputs:{x:s},backend:u,attrs:{dtype:"complex64"}}),v=u.data.get(m.dataId),g=v.complexTensorInfos.real,y=v.complexTensorInfos.imag,b=u.data.get(g.dataId).values,x=u.data.get(y.dataId).values,w=n(o.shape,s.shape,f,d,b,x),k=w[0],N=w[1],I=w[2],S=u.makeTensorInfo(I,"float32",k),T=u.makeTensorInfo(I,"float32",N),E=rV({inputs:{real:S,imag:T},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(m),u.disposeIntermediateTensorInfo(S),u.disposeIntermediateTensorInfo(T),E}var C=u.data.get(o.dataId).values,R=u.data.get(s.dataId).values,A=r||o.dtype,_=t(o.shape,s.shape,C,R,A),F=_[0],D=_[1];return u.makeTensorInfo(D,A,F)}}function fV(e){return function(t,n,r,a,i,o){var s=iI(t,n),u=Hv(s),l=s.length,c=dg(s),p=eg("float32",u),h=eg("float32",u),f=rI(t,s),d=rI(n,s),m=i_(r,a),v=i_(i,o),g=t.length,y=dg(t),b=n.length,x=dg(n);if(f.length+d.length===0)for(var w=0;w<p.length;w++){var k=w%m.length,N=w%v.length,I=e(m[2*k],m[2*k+1],v[2*N],v[2*N+1]);p[w]=I.real,h[w]=I.imag}else for(var S=function(t){var n=kg(t,l,c),r=n.slice(-g);f.forEach((function(e){return r[e]=0}));var a=wg(r,g,y),i=n.slice(-b);d.forEach((function(e){return i[e]=0}));var o=wg(i,b,x),s=e(m[2*a],m[2*a+1],v[2*o],v[2*o+1]);p[t]=s.real,h[t]=s.imag},T=0;T<p.length;T++)S(T);return[p,h,s]}}var dV=nV((function(e,t){return e+t})),mV=fV((function(e,t,n,r){return{real:e+n,imag:t+r}})),vV=hV(Mg,dV,mV),gV={kernelName:Mg,backendName:"cpu",kernelFunc:vV};function yV(e,t,n,r,a){for(var i=Hv(r),o=yg(a,n),s=0;s<e.length;s++){var u=e[s];if(u<0)throw new Error("Input x must be non-negative!");u>=a||(o[u]+=i>0?t[s]:1)}return o}function bV(e,t,n,r){void 0===r&&(r=!1);for(var a=e.shape[0],i=e.shape[1],o=_N([a,n],t.dtype),s=0;s<a;s++)for(var u=0;u<i;u++){var l=e.get(s,u);if(l<0)throw new Error("Input x must be non-negative!");l>=n||(r?o.set(1,s,l):t.size>0?o.set(o.get(s,l)+t.get(s,u),s,l):o.set(o.get(s,l)+1,s,l))}return o}function xV(e){return function(t,n,r){for(var a=eg(n,t.length),i=0;i<t.length;++i)a[i]=e(t[i],r);return a}}function wV(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,s=a.x;if(ZU(s,e),"string"===s.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");for(var u=o,l=u.data.get(s.dataId).values,c=Hv(s.shape),p=n||s.dtype,h=tg(p,c),f=0;f<c;++f)h[f]=t(l[f],i);return u.makeTensorInfo(s.shape,p,h)}}function kV(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,s=a.x;if(ZU(s,e),"string"===s.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");var u=o,l=u.data.get(s.dataId).values,c=n||s.dtype,p=t(l,c,i);return u.makeTensorInfo(s.shape,c,p)}}var NV=xV((function(e){return Math.ceil(e)})),IV=kV(ny,NV),SV={kernelName:ny,backendName:"cpu",kernelFunc:IV};function TV(e,t,n,r){var a=tg(n,Hv(t));if(r&&"string"!==n){var i=0;e.forEach((function(e){var t=Hv(e.shape);a.set(e.vals,i),i+=t}))}else{var o=0;e.forEach((function(e){for(var r="string"===n?z_(e.vals):e.vals,i=0,s=0;s<e.shape[0];++s)for(var u=s*t[1]+o,l=0;l<e.shape[1];++l)a[u+l]=r[i++];o+=e.shape[1]}))}return a}var EV=nV((function(e,t){return e===t?1:0})),CV=hV(_y,EV,null,"bool"),RV={kernelName:_y,backendName:"cpu",kernelFunc:CV},AV=xV((function(e){return Math.exp(e)})),_V=kV(Fy,AV,"float32"),FV={kernelName:Fy,backendName:"cpu",kernelFunc:_V},DV=xV((function(e){return Math.expm1(e)})),OV=kV(Oy,DV),MV={kernelName:Oy,backendName:"cpu",kernelFunc:OV},LV=xV((function(e){return Math.floor(e)})),zV=kV(Py,LV),PV={kernelName:Py,backendName:"cpu",kernelFunc:zV};function BV(e,t,n,r,a,i,o,s,u){for(var l=_N([r,i],n),c=0;c<r;c++){for(var p=[],h=0,f=0;f<a;f++){var d=e[c*a+f];h+=d*o[f],p.push(d)}if(h<0||h>=u/i)throw new Error("Invalid indices: "+p+" does not index into "+s);for(var m=0;m<i;m++)l.values[c*i+m]=t.get.apply(t,t.indexToLoc(h*i+m))}return l}function WV(e,t,n){for(var r=_N(n,e.dtype),a=0;a<r.size;++a){var i=r.indexToLoc(a).slice(),o=i[0],s=i[2],u=t.locToIndex([o,s]);i[2]=t.values[u];var l=e.locToIndex(i);0<=l&&l<e.values.length&&(r.values[a]=e.values[l])}return r}var UV=nV((function(e,t){return e>t?1:0})),VV=hV(Gy,UV,null,"bool"),GV={kernelName:Gy,backendName:"cpu",kernelFunc:VV},jV=nV((function(e,t){return e>=t?1:0})),HV=hV(jy,jV,null,"bool"),qV={kernelName:jy,backendName:"cpu",kernelFunc:HV},KV=nV((function(e,t){return e<t?1:0})),XV=hV(Qy,KV,null,"bool"),YV={kernelName:Qy,backendName:"cpu",kernelFunc:XV},JV=nV((function(e,t){return e<=t?1:0})),ZV=hV($y,JV,null,"bool"),QV={kernelName:$y,backendName:"cpu",kernelFunc:ZV};function $V(e,t,n){var r=(t-e)/(n-1),a=yg(n,"float32");a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+r;return a}var eG=xV((function(e){return Math.log(e)})),tG=kV(tb,eG),nG={kernelName:tb,backendName:"cpu",kernelFunc:tG};function rG(e,t,n,r){for(var a=eg(r,Hv(n)),i=0;i<a.length;++i){for(var o=i*t,s=e[o],u=0;u<t;++u){var l=e[o+u];(Number.isNaN(l)||l>s)&&(s=l)}a[i]=s}return a}var aG=nV((function(e,t){return Math.max(e,t)})),iG=hV(cb,aG),oG={kernelName:cb,backendName:"cpu",kernelFunc:iG},sG=nV((function(e,t){return Math.min(e,t)})),uG=hV(yb,sG),lG={kernelName:yb,backendName:"cpu",kernelFunc:uG},cG=nV((function(e,t){return e*t})),pG=fV((function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}})),hG=hV(kb,cG,pG),fG={kernelName:kb,backendName:"cpu",kernelFunc:hG};function dG(e,t,n){var r=Rw(-1,n);return cG([],t,r,e,n)}var mG={kernelName:Nb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x;ZU(r,"neg");var a=dG(n.data.get(r.dataId).values,r.shape,r.dtype),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},vG=nV((function(e,t){return e!==t?1:0})),gG=hV(Ib,vG,null,"bool"),yG={kernelName:Ib,backendName:"cpu",kernelFunc:gG};function bG(e,t,n,r,a){for(var i=t.length,o=Hv(t),s=dg(t),u=dg(a),l=eg(n,Hv(a)),c=0;c<o;++c){for(var p=kg(c,i,s),h=new Array(p.length),f=0;f<h.length;f++)h[f]=p[r[f]];l[wg(h,i,u)]=e[c]}return l}function xG(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.perm;ZU(a,"transpose");for(var o=a.shape.length,s=new Array(o),u=0;u<s.length;u++)s[u]=a.shape[i[u]];var l=bG(r.data.get(a.dataId).values,a.shape,a.dtype,i,s);return{dataId:r.write(l,s,a.dtype),shape:s,dtype:a.dtype}}var wG={kernelName:Sx,backendName:"cpu",kernelFunc:xG};function kG(e,t,n,r){for(var a=rE(e,r),i=a[0],o=a[1],s=tk(t,"int32"),u=yg(Hv(i),s),l=Hv(o),c=0;c<u.length;++c){for(var p=c*l,h=1,f=0;f<l;++f)h*=n[p+f];u[c]=h}return{outVals:u,outShape:i,outDtype:s}}var NG={kernelName:Ob,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;ZU(a,"prod");var s=a.shape.length,u=Qv(i,a.shape),l=oE(u,s),c=u,p=a,h=[];null!=l&&(p=xG({inputs:{x:a},backend:n,attrs:{perm:l}}),h.push(p),c=uE(c.length,s));var f=n.data.get(p.dataId).values,d=kG(p.shape,p.dtype,f,c),m=d.outVals,v=d.outShape,g=d.outDtype,y=v;return o&&(y=aE(v,u)),h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,m)}};function IG(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return yg(0,r);var a=yg(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var SG=xV((function(e){return 1/Math.sqrt(e)})),TG=kV(Kb,SG),EG={kernelName:Kb,backendName:"cpu",kernelFunc:TG},CG=xV((function(e){return 1/(1+Math.exp(-e))})),RG=wV(tx,(function(e){return 1/(1+Math.exp(-e))})),AG={kernelName:tx,backendName:"cpu",kernelFunc:RG};function _G(e,t,n,r,a){var i=_I(r,t,n),o=Hv(n),s=dg(r);if(i){var u=FI(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var l=_N(r,a,"string"===a?z_(e):e),c=_N(n,a),p=0;p<c.size;++p){var h=c.indexToLoc(p),f=h.map((function(e,n){return e+t[n]}));c.set.apply(c,[l.get.apply(l,f)].concat(h))}return"string"===a?P_(c.values):c.values}function FG(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;ZU(a,"slice");var s=DI(a,i,o),u=s[0],l=s[1];wI(a,u,l);var c=_G(n.data.get(a.dataId).values,u,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,c)}var DG={kernelName:Zb,backendName:"cpu",kernelFunc:FG};function OG(e,t,n,r,a,i,o){var s=t[0],u=i[0],l=new Array(u),c=new Array(s),p=t[1];if(0===u){if(0!==s)throw new Error(k_(s));return[tg(n,0),[0,p],tg(a,0),l,c]}for(var h=!0,f=0,d=new Array(u).fill(0),m=0;m<s;++m){var v=e[m*p];if(v<0)throw new Error(N_(m,v));if(v>=u)throw new Error(I_(m,v,u));++d[v],h=h&&v>=f,f=v}for(var g=!0,y=0;y<u;++y){var b=0===d[y];l[y]=b,g=g&&!b,d[y]=Math.max(d[y],1),y>0&&(d[y]+=d[y-1])}if(g&&h){for(var x=e,w=r,k=0;k<s;++k)c[k]=k;return[x,[s,p],w,l,c]}for(var N=d[u-1],I=tg(n,N*p),S=tg(a,N),T=new Array(u).fill(0),E=0;E<s;++E){var C=e[E*p],R=T[C],A=(0===C?0:d[C-1])+R;T[C]++;for(var _=0;_<p;++_)I[A*p+_]=e[E*p+_];S[A]=r[E],c[E]=A}for(var F=0;F<u;++F){if(0===T[F]){var D=0===F?0:d[F-1];I[D*p+0]=F;for(var O=1;O<p;++O)I[D*p+O]=0;S[D]=o}}return[I,[N,p],S,l,c]}function MG(e,t,n,r,a){for(var i=Hv(r),o=t[0],s=a.length,u=[],l=1,c=-1,p=0;p<s;++p){var h=a[p];if(-1===h){if(-1!==c)throw new Error(S_(c,p));c=p,u.push(1)}else{if(h<0)throw new Error(T_(p,h));l*=h,u.push(h)}}if(-1!==c){if(l<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");var f=Math.trunc(i/l);if(l*f!==i)throw new Error(C_(r,u));u[c]=f}if(Hv(u)!==i)throw new Error(R_(r,u));var d=r.length,m=[];if(d>0){m[d-1]=1;for(var v=d-2;v>=0;--v)m[v]=m[v+1]*r[v+1]}var g=[];if(s>0){g[s-1]=1;for(var y=s-2;y>=0;--y)g[y]=g[y+1]*u[y+1]}for(var b=tg(n,o*s),x=0;x<o;++x){for(var w=0,k=0;k<d;++k)w+=e[x*d+k]*m[k];for(var N=0;N<s;++N)b[x*s+N]=Math.trunc(w/g[N]),w%=g[N]}return[b,[o,s],u]}function LG(e,t,n,r,a,i,o){void 0===i&&(i=!1),void 0===o&&(o=0);var s=r.length,u=[t[0],e.length/t[0]],l=u[1],c=s>0?a[s-1]+1:0;if(c<0)throw new Error("segment ids must be >= 0");var p=t.slice();p[0]=c;var h=tg(n,p.reduce((function(e,t){return e*t}),1));if(0===s)return c>0&&h.fill(o),[h,p];if(c<=0)throw new Error("segment ids must be >= 0");for(var f=0,d=1,m=0,v=a[f];;){var g=0;if(d<s){if(v===(g=a[d])){++d;continue}if(v>=g)throw new Error("segment ids are not increasing")}if(v<0||v>=c)throw new Error(F_(v,c));v>m&&h.fill(o,m*l,v*l);for(var y=f;y<d;++y){var b=r[y];if(b<0||b>=u[0])throw new Error(D_(y,r[y],u[0]));for(var x=0;x<l;x++)h[v*l+x]+=e[b*l+x]}if(i)for(var w=0;w<l;w++)h[v*l+w]/=d-f;if(f=d,m=v+1,v=g,++d>s)break}return m<c&&h.fill(o,m*l,c*l),[h,p]}var zG=xV((function(e){return Math.sqrt(e)})),PG=wV(rx,(function(e){return Math.sqrt(e)})),BG={kernelName:rx,backendName:"cpu",kernelFunc:PG},WG=nV((function(e,t){var n=e-t;return n*n})),UG=hV(fx,WG),VG={kernelName:fx,backendName:"cpu",kernelFunc:UG};function GG(e,t,n,r){for(var a=_N(e,t.dtype),i=0;i<a.size;i++){for(var o=a.indexToLoc(i),s=new Array(o.length),u=0;u<s.length;u++)s[u]=o[u]*n[u]+r[u];a.set.apply(a,[t.get.apply(t,s)].concat(o))}return a}var jG=function(){function e(e,t,n,r,a,i){this.separator=Dw(e),this.nGramWidths=t,this.leftPad=Dw(n),this.rightPad=Dw(r),this.padWidth=a,this.preserveShort=i}var t=e.prototype;return t.getPadWidth=function(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)},t.getNumNGrams=function(e,t){var n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)},t.createNGrams=function(e,t,n,r,a,i){for(var o=this,s=function(s){var u=o.getPadWidth(i),l=Math.max(0,u-s),c=Math.max(0,u-(a-(s+1))),p=i-(l+c),h=t+(l>0?0:s-u),f=0;f+=l*o.leftPad.length;for(var d=0;d<p;++d)f+=e[h+d].length;f+=c*o.rightPad.length,f+=(l+c+p-1)*o.separator.length,n[r+s]=new Uint8Array(f);for(var m=n[r+s],v=0,g=function(e){return e.forEach((function(e){return m[v++]=e}))},y=0;y<l;++y)g(o.leftPad),g(o.separator);for(var b=0;b<p-1;++b)g(e[h+b]),g(o.separator);if(p>0){g(e[h+p-1]);for(var x=0;x<c;++x)g(o.separator),g(o.rightPad)}else{for(var w=0;w<c-1;++w)g(o.rightPad),g(o.separator);g(o.rightPad)}},u=0;u<a;++u)s(u)},t.compute=function(e,t){var n=this,r=e.length,a=t.length;if(a>0){var i=t[0];if(0!==i)throw new Error("First split value must be 0, got "+i);for(var o=1;o<a;++o){var s=t[o]>=i;if(!(s=s&&t[o]<=r))throw new Error("Invalid split value "+t[o]+", must be in ["+i+", "+r+"]");i=t[o]}if(i!==r)throw new Error("Last split value must be data size. Expected "+r+", got "+i)}var u=a-1,l=tg("int32",a);if(0===r||0===a){for(var c=new Array(r),p=0;p<=u;++p)l[p]=0;return[c,l]}l[0]=0;for(var h=function(e){var r=t[e]-t[e-1],a=0;n.nGramWidths.forEach((function(e){a+=n.getNumNGrams(r,e)})),n.preserveShort&&r>0&&0===a&&(a=1),l[e]=l[e-1]+a},f=1;f<=u;++f)h(f);for(var d=new Array(l[u]),m=function(r){var a=t[r],i=l[r];if(n.nGramWidths.forEach((function(o){var s=t[r+1]-t[r],u=n.getNumNGrams(s,o);n.createNGrams(e,a,d,i,u,o),i+=u})),n.preserveShort&&i===l[r]){var o=t[r+1]-t[r];if(0===o)return"continue";var s=o+2*n.padWidth;n.createNGrams(e,a,d,i,1,s)}},v=0;v<u;++v)m(v);return[d,l]},e}();function HG(e,t,n,r,a,i,o,s){return new jG(n,r,a,i,o,s).compute(e,t)}function qG(e,t,n,r){if(e.length)if(0!==t.length)if(1!==t.length){for(var a=0,i=0;i<e.length+1;i++)if(i===e.length||-1!==t.indexOf(e[i])){var o=e.subarray(a,i);n&&0===o.length||r.push(o),a=i+1}}else{for(var s=t[0],u=e.indexOf(s);-1!==u;){var l=e.subarray(0,u);n&&0===l.length||r.push(l),u=(e=e.subarray(u+1)).indexOf(s)}n&&0===e.length||r.push(e)}else for(var c=0;c<e.length;++c)r.push(e.subarray(c,c+1))}function KG(e,t,n){for(var r=e.length,a=[],i=0,o=0,s=new Array(r),u=0;u<r;++u){var l=a.length;qG(e[u],t,n,a);var c=a.length-l;s[u]=c,i+=c,o=Math.max(o,c)}for(var p=tg("int32",2*i),h=new Array(i),f=[r,o],d=0,m=0;m<r;++m)for(var v=0;v<s[m];++v)p[2*d]=m,p[2*d+1]=v,h[d]=a[d],++d;return[p,h,f]}function XG(e,t){for(var n=tg("int32",e.length),r=0;r<e.length;++r)n[r]=Cw(e[r]).modulo(t).getLowBitsUnsigned();return n}var YG=nV((function(e,t){return e-t})),JG=fV((function(e,t,n,r){return{real:e-n,imag:t-r}})),ZG=hV(bx,YG,JG),QG={kernelName:bx,backendName:"cpu",kernelFunc:ZG};function $G(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];for(var a=_N(n,e.dtype),i=0;i<a.values.length;++i){for(var o=a.indexToLoc(i),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=o[u]%e.shape[u];var l=e.locToIndex(s);a.values[i]=e.values[l]}return a}var ej=function(e,t){var n=t.value-e.value;return 0===n?e.index-t.index:n};function tj(e,t,n,r){for(void 0===n&&(n=0),void 0===r&&(r=e.length-1);r>n;){if(r-n>600){var a=r-n+1,i=t-n+1,o=Math.log(a),s=.5*Math.exp(2*o/3),u=.5*Math.sqrt(o*s*(a-s)/a)*Math.sign(i-a/2);tj(e,t,Math.max(n,Math.floor(t-i*s/a+u)),Math.min(r,Math.floor(t+(a-i)*s/a+u)))}var l=e[t],c=n,p=r;for(Bv(e,n,t),ej(e[r],l)>0&&Bv(e,n,r);c<p;){for(Bv(e,c,p),c++,p--;ej(e[c],l)<0;)c+=1;for(;ej(e[p],l)>0;)p-=1}0===ej(e[n],l)?Bv(e,n,p):Bv(e,p+=1,r),p<=t&&(n=p+1),t<=p&&(r=p-1)}}function nj(e,t,n,r,a){for(var i=t[t.length-1],o=e.length/i,s=i,u=eg(n,o*r),l=eg("int32",o*r),c=function(t){var n=t*s,i=e.subarray(n,n+s),o=new Array(i.length);i.forEach((function(e,t){return o[t]={value:e,index:t}})),r<o.length&&(tj(o,r),o=o.slice(0,r)),a&&o.sort(ej);for(var c=t*r,p=u.subarray(c,c+r),h=l.subarray(c,c+r),f=0;f<r;f++)p[f]=o[f].value,h[f]=o[f].index},p=0;p<o;p++)c(p);var h=t.slice();return h[h.length-1]=r,[_N(h,n,u),_N(h,"int32",l)]}function rj(e,t,n,r){for(var a=Qv(t,n)[0],i=[1,n[0],1],o=0;o<a;o++)i[0]*=n[o];i[1]=n[a];for(var s=a+1;s<n.length;s++)i[2]*=n[s];for(var u={},l=new Int32Array(n[a]),c=new Gw(i,r,e),p=[],h=1===i[0]&&1===i[2],f=0;f<n[a];f++){var d=void 0;if(h)d=e[f].toString();else{for(var m=[],v=0;v<i[0];v++)for(var g=0;g<i[2];g++)m.push(c.get(v,f,g));d=m.join(",")}if(void 0!==u[d])l[f]=u[d];else{var y=Object.keys(u).length;u[d]=y,l[f]=y,p.push(f)}}var b=i.slice();b[1]=Object.keys(u).length;var x=new Gw(b,r);p.forEach((function(e,t){for(var n=0;n<i[0];n++)for(var r=0;r<i[2];r++)x.set(c.get(n,e,r),n,t,r)}));var w=n.slice();return w[a]=b[1],{outputValues:x.values,outputShape:w,indices:l}}eS("cpu",(function(){return new $U}),1);var aj=wV(Cy,(function(e){return e>=0?e:Math.exp(e)-1})),ij={kernelName:Cy,backendName:"cpu",kernelFunc:aj};function oj(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha;ZU([a],"leakyRelu");for(var o=Hv(a.shape),s=n.data.get(a.dataId).values,u=eg("float32",o),l=0;l<s.length;l++)u[l]=s[l]<0?i*s[l]:s[l];return n.makeTensorInfo(a.shape,"float32",u)}var sj={kernelName:Zy,backendName:"cpu",kernelFunc:oj},uj=nV((function(e,t){return e<0?t*e:e}));function lj(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha;ZU([r,a],"prelu");var i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=uj(r.shape,a.shape,i,o,"float32"),u=s[0],l=s[1];return n.makeTensorInfo(l,"float32",u)}var cj={kernelName:Db,backendName:"cpu",kernelFunc:lj},pj=wV(Pb,(function(e){return Math.max(0,e)})),hj={kernelName:Pb,backendName:"cpu",kernelFunc:pj},fj=wV(jb,(function(e){return Math.min(Math.max(0,e),6)})),dj={kernelName:jb,backendName:"cpu",kernelFunc:fj};function mj(e,t,n,r,a){if("linear"===n)return oV({inputs:{x:t},backend:e});if("relu"===n)return pj({inputs:{x:t},backend:e});if("elu"===n)return aj({inputs:{x:t},backend:e});if("relu6"===n)return fj({inputs:{x:t},backend:e});if("prelu"===n)return lj({inputs:{x:t,alpha:r},backend:e});if("leakyrelu"===n)return oj({inputs:{x:t},backend:e,attrs:{alpha:a}});if("sigmoid"===n)return RG({inputs:{x:t},backend:e});throw new Error("Activation "+n+" has not been implemented for the CPU backend.")}function vj(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=Hv(a.shape),s=Zv(i,o),u=Hv(s);Uv(o===u,(function(){return"The new shape ("+s+") has "+u+" elements and the old shape ("+a.shape+") has "+o+" elements. The new shape and old shape must have the same number of elements."})),n.incRef(a.dataId);var l=n.data.get(a.dataId);if(null!=l.complexTensorInfos){var c=l.complexTensorInfos.real,p=l.complexTensorInfos.imag;c.shape=s,p.shape=s}return{dataId:a.dataId,shape:s,dtype:a.dtype}}var gj={kernelName:Bb,backendName:"cpu",kernelFunc:vj};function yj(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=r.transposeA,s=r.transposeB;ZU([a,i],"matMul");var u=a.shape.length,l=i.shape.length,c=o?a.shape[u-2]:a.shape[u-1],p=s?i.shape[l-1]:i.shape[l-2],h=o?a.shape[u-1]:a.shape[u-2],f=s?i.shape[l-2]:i.shape[l-1],d=a.shape.slice(0,-2),m=i.shape.slice(0,-2),v=Hv(d),g=Hv(m),y=iI(a.shape.slice(0,-2),i.shape.slice(0,-2)).concat([h,f]);Uv(c===p,(function(){return"Error in matMul: inner shapes ("+c+") and ("+p+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+o+" and transposeB="+s+" must match."}));for(var b=s?[g,f,p]:[g,p,f],x=vj({inputs:{x:a},backend:n,attrs:{shape:o?[v,c,h]:[v,h,c]}}),w=vj({inputs:{x:i},backend:n,attrs:{shape:b}}),k=o?x.shape[1]:x.shape[2],N=o?x.shape[2]:x.shape[1],I=s?w.shape[1]:w.shape[2],S=Math.max(v,g),T=n.data.get(x.dataId).values,E=n.data.get(w.dataId).values,C=dg(x.shape),R=dg(w.shape),A=o?[C[0],1,C[1]]:[C[0],C[1],1],_=A[0],F=A[1],D=A[2],O=s?[1,R[1],R[0]]:[R[1],1,R[0]],M=O[0],L=O[1],z=O[2],P=N*I,B=_N([S,N,I],x.dtype),W=B.values,U=n.blockSize,V=0;V<S;V++)for(var G=0;G<N;G+=U)for(var j=0;j<I;j+=U)for(var H=0;H<k;H+=U)for(var q=Math.min(G+U,N),K=Math.min(j+U,I),X=Math.min(H+U,k),Y=G;Y<q;Y++)for(var J=j;J<K;J++){for(var Z=0,Q=H;Q<X;Q++){var $=Math.min(V,v-1)*_,ee=Math.min(V,g-1)*z;Z+=T[$+Y*F+Q*D]*E[Q*M+J*L+ee]}W[V*P+(Y*I+J)]+=Z}return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(w),n.makeTensorInfo(y,B.dtype,B.values)}var bj={kernelName:Jg,backendName:"cpu",kernelFunc:yj};var xj={kernelName:Dx,backendName:"cpu",kernelFunc:function(e){var t,n,r,a=e.inputs,i=e.backend,o=e.attrs,s=a.a,u=a.b,l=a.bias,c=a.preluActivationWeights,p=o.transposeA,h=o.transposeB,f=o.activation,d=o.leakyreluAlpha,m=[];t=yj({inputs:{a:s,b:u},attrs:{transposeA:p,transposeB:h},backend:i}),l&&(n=vV({inputs:{a:t,b:l},backend:i}),m.push(t),t=n),f&&(r=mj(i,t,f,c,d),m.push(t),t=r);for(var v=0,g=m;v<g.length;v++){var y=g[v];i.disposeIntermediateTensorInfo(y)}return t}},wj=wV(Dg,(function(e){return Math.acos(e)})),kj={kernelName:Dg,backendName:"cpu",kernelFunc:wj},Nj=wV(Og,(function(e){return Math.acosh(e)})),Ij={kernelName:Og,backendName:"cpu",kernelFunc:Nj};var Sj={kernelName:Lg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t;ZU(t,"addN");for(var a=r.map((function(e){return n.data.get(e.dataId).values})),i=_N(r[0].shape,r[0].dtype),o=i.values,s=0;s<r.length;s++)for(var u=a[s],l=0;l<o.length;l++)o[l]+=u[l];return n.makeTensorInfo(i.shape,i.dtype,i.values)}};var Tj={kernelName:zg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;ZU(a,"all");var s=Qv(i,a.shape),u=s,l=oE(u,a.shape.length),c=a;null!=l&&(c=xG({inputs:{x:a},backend:n,attrs:{perm:l}}),u=uE(u.length,a.shape.length)),iE("all",u,c.shape.length);for(var p=rE(c.shape,u),h=p[0],f=Hv(p[1]),d=yg(Hv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];y=y&&x}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=vj({inputs:{x:w},backend:n,attrs:{shape:aE(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var Ej={kernelName:Pg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;ZU(a,"any");var s=Qv(i,a.shape),u=s,l=oE(u,a.shape.length),c=a;null!=l&&(c=xG({inputs:{x:a},backend:n,attrs:{perm:l}}),u=uE(u.length,a.shape.length)),iE("any",u,c.shape.length);for(var p=rE(c.shape,u),h=p[0],f=Hv(p[1]),d=yg(Hv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];y=y||x}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=vj({inputs:{x:w},backend:n,attrs:{shape:aE(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var Cj={kernelName:Bg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis;ZU(a,"argMax");var o=Qv(i,a.shape),s=oE(o,a.shape.length),u=a,l=[];null!=s&&(u=xG({inputs:{x:a},backend:n,attrs:{perm:s}}),l.push(u),o=uE(o.length,u.shape.length)),iE("argMax",o=[o[0]],u.shape.length);for(var c=rE(u.shape,o),p=c[0],h=c[1],f=yg(Hv(p),"int32"),d=Hv(h),m=n.data.get(u.dataId).values,v=0;v<f.length;++v){for(var g=v*d,y=m[g],b=0,x=0;x<d;++x){var w=m[g+x];w>y&&(y=w,b=x)}f[v]=b}return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(p,"int32",f)}};var Rj={kernelName:Wg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis;ZU(a,"argMin");var o=Qv(i,a.shape),s=oE(o,a.shape.length),u=a,l=[];null!=s&&(u=xG({inputs:{x:a},backend:n,attrs:{perm:s}}),l.push(u),o=uE(o.length,u.shape.length)),iE("argMin",o=[o[0]],u.shape.length);for(var c=rE(u.shape,o),p=c[0],h=c[1],f=yg(Hv(p),"int32"),d=Hv(h),m=n.data.get(u.dataId).values,v=0;v<f.length;++v){for(var g=v*d,y=m[g],b=0,x=0;x<d;++x){var w=m[g+x];w<y&&(y=w,b=x)}f[v]=b}return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(p,"int32",f)}},Aj=wV(Ug,(function(e){return Math.asin(e)})),_j={kernelName:Ug,backendName:"cpu",kernelFunc:Aj},Fj=wV(Vg,(function(e){return Math.asinh(e)})),Dj={kernelName:Vg,backendName:"cpu",kernelFunc:Fj},Oj=wV(Gg,(function(e){return Math.atan(e)})),Mj={kernelName:Gg,backendName:"cpu",kernelFunc:Oj},Lj=nV((function(e,t){return Math.atan2(e,t)})),zj=hV(Hg,Lj),Pj={kernelName:Hg,backendName:"cpu",kernelFunc:zj},Bj=wV(jg,(function(e){return Math.atanh(e)})),Wj={kernelName:jg,backendName:"cpu",kernelFunc:Bj};function Uj(e,t,n,r,a,i){for(var o=a.strideHeight,s=a.strideWidth,u=a.dilationHeight,l=a.dilationWidth,c=a.effectiveFilterHeight,p=a.effectiveFilterWidth,h=a.padInfo.top,f=a.padInfo.left,d="max"===i?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=_N(a.outShape,n),v=m.values,g=a.outShape[1]*a.outShape[2]*a.outShape[3],y=a.outShape[2]*a.outShape[3],b=a.outShape[3],x=0;x<a.batchSize;++x)for(var w=x*g,k=x*r[0],N=0;N<a.inChannels;++N)for(var I=0;I<a.outHeight;++I)for(var S=I*o-h,T=Math.max(0,S),E=Math.min(a.inHeight,c+S),C=w+I*y,R=0;R<a.outWidth;++R){for(var A=R*s-f,_=Math.max(0,A),F=Math.min(a.inWidth,p+A),D=d,O=0,M=0,L=T;L<E;L+=u){for(var z=k+L*r[1],P=_;P<F;P+=l){var B=e[z+P*r[2]+N];"max"===i&&B>D?D=B:"avg"===i&&(O+=B,M++)}if(isNaN(D))break}v[C+R*b+N]="avg"===i?O/M:D}return m}function Vj(e,t,n,r,a,i){void 0===a&&(a=!1),void 0===i&&(i=!1);for(var o=_N(r.outShape,"int32"),s=r.strideHeight,u=r.strideWidth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterHeight,h=r.effectiveFilterWidth,f=r.padInfo.top,d=r.padInfo.left,m=_N(t,n,e),v=0;v<r.batchSize;++v)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.outHeight;++y){for(var b=y*s-f,x=b;x<0;)x+=l;for(var w=Math.min(r.inHeight,p+b),k=0;k<r.outWidth;++k){for(var N=k*u-d,I=N;I<0;)I+=c;for(var S=Math.min(r.inWidth,h+N),T=Number.NEGATIVE_INFINITY,E=-1,C=x;C<w;C+=l)for(var R=C-b,A=I;A<S;A+=c){var _=A-N,F=m.get(v,C,A,g);F>T&&(T=F,E=a?i?((v*r.inHeight+C)*r.inWidth+A)*r.inChannels+g:(C*r.inWidth+A)*r.inChannels+g:R*h+_)}o.set(E,v,y,k,g)}}return o}function Gj(e,t,n,r,a,i){for(var o=a.strideDepth,s=a.strideHeight,u=a.strideWidth,l=a.dilationDepth,c=a.dilationHeight,p=a.dilationWidth,h=a.effectiveFilterDepth,f=a.effectiveFilterHeight,d=a.effectiveFilterWidth,m=a.padInfo.front,v=a.padInfo.top,g=a.padInfo.left,y="max"===i?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=_N(a.outShape,n),x=b.values,w=a.outShape[1]*a.outShape[2]*a.outShape[3]*a.outShape[4],k=a.outShape[2]*a.outShape[3]*a.outShape[4],N=a.outShape[3]*a.outShape[4],I=a.outShape[4],S=0;S<a.batchSize;++S)for(var T=S*w,E=S*r[0],C=0;C<a.inChannels;++C)for(var R=0;R<a.outDepth;++R){for(var A=R*o-m,_=A;_<0;)_+=l;for(var F=Math.min(a.inDepth,h+A),D=T+R*k,O=0;O<a.outHeight;++O){for(var M=O*s-v,L=M;L<0;)L+=c;for(var z=Math.min(a.inHeight,f+M),P=D+O*N,B=0;B<a.outWidth;++B){for(var W=B*u-g,U=W;U<0;)U+=p;for(var V=Math.min(a.inWidth,d+W),G=P+B*I,j=y,H=0,q=0,K=_;K<F;K+=l){for(var X=E+K*r[1],Y=L;Y<z;Y+=c){for(var J=X+Y*r[2],Z=U;Z<V;Z+=p){var Q=e[J+Z*r[3]+C];if("max"===i&&Q>j?j=Q:"avg"===i&&(H+=Q,q++),isNaN(j))break}if(isNaN(j))break}if(isNaN(j))break}x[G+C]="avg"===i?H/q:j}}}return b}var jj={kernelName:qg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;ZU(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Uv(AS(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l,c=xS(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&qv(c.inShape,c.outShape))l=oV({inputs:{x:a},backend:n});else{var p=n.data.get(a.dataId).values,h=dg(a.shape),f=Uj(p,a.shape,a.dtype,h,c,"avg");l=n.makeTensorInfo(c.outShape,a.dtype,f.values)}return l}};var Hj={kernelName:Xg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,l=r.dataFormat;ZU(a,"avgPool3d");var c=wS(a.shape,i,o,1,s,u,l),p=Gj(n.data.get(a.dataId).values,a.shape,a.dtype,dg(a.shape),c,"avg");return n.makeTensorInfo(p.shape,"float32",p.values)}};var qj={kernelName:Yg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,l=r.dimRoundingMode;ZU([a,i],"avgPool3DGrad");for(var c=wS(i.shape,o,s,1,u,l),p=c.strideDepth,h=c.strideHeight,f=c.strideWidth,d=c.filterDepth,m=c.filterHeight,v=c.filterWidth,g=c.dilationDepth,y=c.dilationHeight,b=c.dilationWidth,x=c.effectiveFilterDepth,w=c.effectiveFilterHeight,k=c.effectiveFilterWidth,N=x-1-c.padInfo.front,I=k-1-c.padInfo.left,S=w-1-c.padInfo.top,T=_N(i.shape,"float32"),E=1/(d*m*v),C=n.bufferSync(a),R=0;R<c.batchSize;++R)for(var A=0;A<c.inChannels;++A)for(var _=0;_<c.inDepth;++_)for(var F=0;F<c.inHeight;++F)for(var D=0;D<c.inWidth;++D){for(var O=_-N,M=F-S,L=D-I,z=0,P=0;P<x;P+=g){var B=(O+P)/p;if(!(B<0||B>=c.outDepth||Math.floor(B)!==B))for(var W=0;W<w;W+=y){var U=(M+W)/h;if(!(U<0||U>=c.outHeight||Math.floor(U)!==U))for(var V=0;V<k;V+=b){var G=(L+V)/f;if(!(G<0||G>=c.outWidth||Math.floor(G)!==G))z+=C.get(R,B,U,G,A)}}}T.set(z*E,R,_,F,D,A)}return n.makeTensorInfo(T.shape,T.dtype,T.values)}};var Kj={kernelName:Kg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;ZU([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,l=r.pad,c=xS(o.shape,s,u,1,l),p=c.strideHeight,h=c.strideWidth,f=c.filterHeight,d=c.filterWidth,m=c.dilationHeight,v=c.dilationWidth,g=c.effectiveFilterHeight,y=c.effectiveFilterWidth,b=y-1-c.padInfo.left,x=g-1-c.padInfo.top,w=_N(o.shape,"float32"),k=1/(f*d),N=n.data.get(a.dataId).values,I=_N(a.shape,"float32",N),S=0;S<c.batchSize;++S)for(var T=0;T<c.inChannels;++T)for(var E=0;E<c.inHeight;++E)for(var C=0;C<c.inWidth;++C){for(var R=E-x,A=C-b,_=0,F=0;F<g;F+=m){var D=(R+F)/p;if(!(D<0||D>=c.outHeight||Math.floor(D)!==D))for(var O=0;O<y;O+=v){var M=(A+O)/h;if(!(M<0||M>=c.outWidth||Math.floor(M)!==M))_+=I.get(S,D,M,T)}}w.set(_*k,S,E,C,T)}return n.makeTensorInfo(w.shape,w.dtype,w.values)}};var Xj={kernelName:Wy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;Uv(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Uv(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Uv(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),ZU([a,s,u,i,o],"batchNorm");var l=r.varianceEpsilon;null==l&&(l=.001);for(var c=n.data.get(a.dataId).values,p=n.data.get(s.dataId).values,h=n.data.get(u.dataId).values,f=i?n.data.get(i.dataId).values:new Float32Array([1]),d=o?n.data.get(o.dataId).values:new Float32Array([0]),m=new Float32Array(c.length),v=d.length,g=f.length,y=h.length,b=p.length,x=0,w=0,k=0,N=0,I=0;I<c.length;++I)m[I]=d[x++]+(c[I]-p[w++])*f[k++]/Math.sqrt(h[N++]+l),x>=v&&(x=0),w>=b&&(w=0),k>=g&&(k=0),N>=y&&(N=0);return n.makeTensorInfo(a.shape,a.dtype,m)}};var Yj={kernelName:Zg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;ZU([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=qA(a.shape,i,s),l=KA(u.length,i.length),c=XA(a.shape,i,s),p=YA(o,i.length),h=JA(c,o,i.length),f=vj({inputs:{x:a},backend:n,attrs:{shape:u}}),d=xG({inputs:{x:f},backend:n,attrs:{perm:l}}),m=vj({inputs:{x:d},backend:n,attrs:{shape:c}}),v=FG({inputs:{x:m},backend:n,attrs:{begin:p,size:h}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}};var Jj={kernelName:Qg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=yV(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}};var Zj={kernelName:ey,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=iI(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},Qj=wV(ry,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),$j={kernelName:ry,backendName:"cpu",kernelFunc:Qj},eH={kernelName:iy,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new Float32Array(Hv(t.shape)),a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,l=0;l<s.length;l++){var c=s[l],p=u[l];r[l]=Math.hypot(c,p)}return n.makeOutput(r,t.shape,"float32")}};function tH(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.imag,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var nH={kernelName:Ky,backendName:"cpu",kernelFunc:tH};function rH(e){var t=e.inputs,n=e.backend,r=Qv(e.attrs.axis,t[0].shape)[0],a=GA(t.map((function(e){return e.shape})),r);if(0===Hv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Hv(e.shape)>0}));if(1===i.length)return oV({inputs:{x:i[0]},backend:n});if(VA(i.map((function(e){return e.shape})),r),"complex64"===i[0].dtype){var o=i.map((function(e){return uV({inputs:{input:e},backend:n})})),s=i.map((function(e){return tH({inputs:{input:e},backend:n})})),u=rH({inputs:o,backend:n,attrs:{axis:r}}),l=rH({inputs:s,backend:n,attrs:{axis:r}}),c=rV({inputs:{real:u,imag:l},backend:n});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),c}var p=i.map((function(e){var t=Hv(e.shape.slice(r));return vj({inputs:{x:e},backend:n,attrs:{shape:[-1,t]}})})),h=p.map((function(e){return{vals:n.data.get(e.dataId).values,shape:e.shape}}));a=GA(p.map((function(e){return e.shape})),1);var f=1===p[0].shape[0],d=TV(h,a,t[0].dtype,f),m=GA(i.map((function(e){return e.shape})),r),v=n.makeTensorInfo(m,t[0].dtype,d);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}var aH={kernelName:oy,backendName:"cpu",kernelFunc:rH};function iH(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dilations,c=r.dimRoundingMode;ZU([a,i],"conv2d");for(var p=_S(u),h=kS(a.shape,i.shape,o,l,s,c,!1,p),f=h.filterHeight,d=h.filterWidth,m=h.dilationHeight,v=h.dilationWidth,g=h.padInfo.left,y=h.padInfo.top,b="channelsLast"===h.dataFormat,x=new Gw(h.outShape,a.dtype),w=dg(a.shape),k=dg(i.shape),N=w[0],I=b?w[1]:w[2],S=b?w[2]:1,T=b?1:w[1],E=x.strides[0],C=b?x.strides[1]:x.strides[2],R=b?x.strides[2]:1,A=b?1:x.strides[1],_=n.data.get(a.dataId).values,F=n.data.get(i.dataId).values,D=x.values,O=0;O<h.batchSize;++O)for(var M=O*N,L=O*E,z=0;z<h.outHeight;++z)for(var P=L+z*C,B=z*h.strideHeight-y,W=0;W<f;++W){var U=B+W*m;if(!(U<0||U>=h.inHeight))for(var V=W*k[0],G=M+U*I,j=0;j<h.outWidth;++j)for(var H=P+j*R,q=j*h.strideWidth-g,K=0;K<d;++K){var X=q+K*v;if(!(X<0||X>=h.inWidth))for(var Y=G+X*S,J=V+K*k[1],Z=0;Z<h.inChannels;++Z){for(var Q=_[Y+Z*T],$=0;$<h.outChannels;++$)D[H+$*A]+=Q*F[J+$];J+=h.outChannels}}}return n.makeTensorInfo(x.shape,x.dtype,D)}var oH={kernelName:sy,backendName:"cpu",kernelFunc:iH};var sH={kernelName:uy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=r.filterShape;ZU([a,i],"conv2dBackpropFilter");for(var p=_S(u),h=kS(a.shape,c,o,1,s,l,!1,p),f=h.strideHeight,d=h.strideWidth,m=h.filterHeight,v=h.filterWidth,g="channelsLast"===h.dataFormat,y=new Gw(h.filterShape,"float32"),b=h.padInfo.left,x=h.padInfo.top,w=n.data.get(a.dataId).values,k=n.data.get(i.dataId).values,N=new Gw(a.shape,a.dtype,w),I=new Gw(i.shape,i.dtype,k),S=0;S<m;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),E=Math.min(h.outHeight,(h.inHeight+x-S)/f),C=0;C<v;++C)for(var R=Math.max(0,Math.ceil((b-C)/d)),A=Math.min(h.outWidth,(h.inWidth+b-C)/d),_=0;_<h.inChannels;++_)for(var F=0;F<h.outChannels;++F){for(var D=0,O=0;O<h.batchSize;++O)for(var M=T;M<E;++M)for(var L=S+M*f-x,z=R;z<A;++z){var P=C+z*d-b;D+=g?N.get(O,L,P,_)*I.get(O,M,z,F):N.get(O,_,L,P)*I.get(O,F,M,z)}y.set(D,S,C,_,F)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var uH={kernelName:ly,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,l=r.dataFormat,c=r.dimRoundingMode;ZU([a,i],"conv2dBackpropInput");var p=dg(i.shape),h=dg(a.shape),f=_S(l),d=kS(o,i.shape,s,1,u,c,!1,f),m=new Gw(d.inShape,"float32"),v=m.values,g=n.data.get(a.dataId).values,y=n.data.get(i.dataId).values,b=p[0],x=p[1],w=p[2],k=d.batchSize,N=d.filterHeight,I=d.filterWidth,S=d.inChannels,T=d.inHeight,E=d.inWidth,C=d.outChannels,R=d.outHeight,A=d.outWidth,_=d.strideHeight,F=d.strideWidth;f=d.dataFormat;for(var D=N-1-d.padInfo.top,O=I-1-d.padInfo.left,M="channelsLast"===f,L=m.strides[0],z=M?m.strides[1]:m.strides[2],P=M?m.strides[2]:1,B=M?1:m.strides[1],W=h[0],U=M?h[1]:h[2],V=M?h[2]:1,G=M?1:h[1],j=0;j<k;++j)for(var H=0;H<S;++H)for(var q=0;q<T;++q)for(var K=q-D,X=Math.max(0,Math.ceil(K/_)),Y=Math.min(R,(N+K)/_),J=0;J<E;++J){for(var Z=J-O,Q=Math.max(0,Math.ceil(Z/F)),$=Math.min(A,(I+Z)/F),ee=0,te=X;te<Y;++te)for(var ne=te*_-K,re=Q;re<$;++re)for(var ae=W*j+U*te+V*re,ie=b*(N-1-ne)+x*(I-1-(re*F-Z))+w*H,oe=0;oe<C;++oe){ee+=g[ae+G*oe]*y[ie+oe]}v[L*j+z*q+P*J+B*H]=ee}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var lH={kernelName:cy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations;ZU([a,i],"conv3d");for(var l=NS(a.shape,i.shape,o,u,s),c=l.filterDepth,p=l.filterHeight,h=l.filterWidth,f=l.dilationDepth,d=l.dilationHeight,m=l.dilationWidth,v=l.padInfo,g=v.front,y=v.left,b=v.top,x=new Gw(l.outShape,a.dtype),w=n.data.get(a.dataId).values,k=n.data.get(i.dataId).values,N=x.values,I=dg(a.shape),S=dg(i.shape),T=0;T<l.batchSize;++T)for(var E=T*I[0],C=T*x.strides[0],R=0;R<l.outDepth;++R)for(var A=C+R*x.strides[1],_=R*l.strideDepth-g,F=0;F<c;++F){var D=_+F*f;if(!(D<0||D>=l.inDepth))for(var O=F*S[0],M=E+D*I[1],L=0;L<l.outHeight;++L)for(var z=A+L*x.strides[2],P=L*l.strideHeight-b,B=0;B<p;++B){var W=P+B*d;if(!(W<0||W>=l.inHeight))for(var U=O+B*S[1],V=M+W*I[2],G=0;G<l.outWidth;++G)for(var j=z+G*l.outChannels,H=G*l.strideWidth-y,q=0;q<h;++q){var K=H+q*m;if(!(K<0||K>=l.inWidth))for(var X=U+q*S[2],Y=V+K*l.inChannels,J=X,Z=0;Z<l.inChannels;++Z){for(var Q=w[Y+Z],$=0;$<l.outChannels;++$)N[j+$]+=Q*k[J+$];J+=l.outChannels}}}}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var cH={kernelName:py,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape;ZU([a,i],"conv3dBackpropFilterV2");for(var l=dg(a.shape),c=dg(i.shape),p=NS(a.shape,u,o,1,s),h=p.strideDepth,f=p.strideHeight,d=p.strideWidth,m=p.filterDepth,v=p.filterHeight,g=p.filterWidth,y=new Gw(p.filterShape,"float32"),b=y.values,x=y.strides,w=x[0],k=x[1],N=x[2],I=x[3],S=n.data.get(i.dataId).values,T=c[0],E=c[1],C=c[2],R=c[3],A=n.data.get(a.dataId).values,_=l[0],F=l[1],D=l[2],O=l[3],M=p.padInfo.front,L=p.padInfo.left,z=p.padInfo.top,P=0;P<m;++P)for(var B=Math.max(0,Math.ceil((M-P)/h)),W=Math.min(p.outDepth,(p.inDepth+M-P)/h),U=P*w,V=0;V<v;++V)for(var G=Math.max(0,Math.ceil((z-V)/f)),j=Math.min(p.outHeight,(p.inHeight+z-V)/f),H=V*k+U,q=0;q<g;++q)for(var K=Math.max(0,Math.ceil((L-q)/d)),X=Math.min(p.outWidth,(p.inWidth+L-q)/d),Y=q*N+H,J=0;J<p.inChannels;++J)for(var Z=J*I+Y,Q=0;Q<p.outChannels;++Q){for(var $=0,ee=0;ee<p.batchSize;++ee)for(var te=ee*_,ne=ee*T,re=B;re<W;++re)for(var ae=(P+re*h-M)*F+te,ie=re*E+ne,oe=G;oe<j;++oe)for(var se=(V+oe*f-z)*D+ae,ue=oe*C+ie,le=K;le<X;++le){var ce=le*R+ue;$+=A[(q+le*d-L)*O+se+J]*S[ce+Q]}b[Z+Q]=$}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var pH={kernelName:hy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;ZU([a],"conv3dBackpropInputV2");for(var l=dg(a.shape),c=dg(i.shape),p=NS(u,i.shape,s,1,o),h=new Gw(p.inShape,"float32"),f=h.values,d=h.strides,m=d[0],v=d[1],g=d[2],y=d[3],b=n.data.get(a.dataId).values,x=l[0],w=l[1],k=l[2],N=l[3],I=n.data.get(i.dataId).values,S=c[0],T=c[1],E=c[2],C=c[3],R=p.batchSize,A=p.filterDepth,_=p.filterHeight,F=p.filterWidth,D=p.inChannels,O=p.inDepth,M=p.inHeight,L=p.inWidth,z=p.outChannels,P=p.outDepth,B=p.outHeight,W=p.outWidth,U=p.strideDepth,V=p.strideHeight,G=p.strideWidth,j=A-1-p.padInfo.front,H=_-1-p.padInfo.top,q=F-1-p.padInfo.left,K=0;K<R;++K)for(var X=0;X<D;++X)for(var Y=0;Y<O;++Y)for(var J=Y-j,Z=Math.max(0,Math.ceil(J/U)),Q=Math.min(P,(A+J)/U),$=0;$<M;++$)for(var ee=$-H,te=Math.max(0,Math.ceil(ee/V)),ne=Math.min(B,(_+ee)/V),re=0;re<L;++re){for(var ae=re-q,ie=Math.max(0,Math.ceil(ae/G)),oe=Math.min(W,(F+ae)/G),se=0,ue=Z;ue<Q;++ue)for(var le=ue*U-J,ce=te;ce<ne;++ce)for(var pe=ce*V-ee,he=ie;he<oe;++he)for(var fe=x*K+w*ue+k*ce+N*he,de=S*(A-1-le)+T*(_-1-pe)+E*(F-1-(he*G-ae))+C*X,me=0;me<z;++me){se+=b[fe+me]*I[de+me]}f[m*K+v*Y+g*$+y*re+X]=se}return n.makeTensorInfo(h.shape,h.dtype,h.values)}},hH=wV(fy,(function(e){return Math.cos(e)})),fH={kernelName:fy,backendName:"cpu",kernelFunc:hH},dH=wV(dy,(function(e){return Math.cosh(e)})),mH={kernelName:dy,backendName:"cpu",kernelFunc:dH};var vH={kernelName:vy,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,l=r.extrapolationValue,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=i.shape[0],v=s[0],g=s[1],y=_N([m,v,g,d],"float32"),b=n.data.get(i.dataId).values,x=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,k=dg(a.shape),N=dg(y.shape),I=0;I<m;I++){var S=4*I,T=b[S],E=b[S+1],C=b[S+2],R=b[S+3],A=x[I];if(!(A>=p))for(var _=v>1?(C-T)*(h-1)/(v-1):0,F=g>1?(R-E)*(f-1)/(g-1):0,D=0;D<v;D++){var O=v>1?T*(h-1)+D*_:.5*(T+C)*(h-1);if(O<0||O>h-1)for(var M=0;M<g;M++)for(var L=0;L<d;L++){var z=L+M*N[2]+D*N[1]+I*N[0];y.values[z]=l}else if("bilinear"===u)for(var P=Math.floor(O),B=Math.ceil(O),W=O-P,U=0;U<g;U++){var V=g>1?E*(f-1)+U*F:.5*(E+R)*(f-1);if(V<0||V>f-1)for(var G=0;G<d;G++){var j=G+U*N[2]+D*N[1]+I*N[0];y.values[j]=l}else for(var H=Math.floor(V),q=Math.ceil(V),K=V-H,X=0;X<d;X++){var Y=X+H*k[2]+P*k[1]+A*k[0],J=w[Y],Z=w[Y=X+q*k[2]+P*k[1]+A*k[0]],Q=w[Y=X+H*k[2]+B*k[1]+A*k[0]],$=J+(Z-J)*K,ee=Q+(w[Y=X+q*k[2]+B*k[1]+A*k[0]]-Q)*K;Y=X+U*N[2]+D*N[1]+I*N[0],y.values[Y]=$+(ee-$)*W}}else for(var te=0;te<g;++te){var ne=g>1?E*(f-1)+te*F:.5*(E+R)*(f-1);if(ne<0||ne>f-1)for(var re=0;re<d;re++){var ae=re+te*N[2]+D*N[1]+I*N[0];y.values[ae]=l}else for(var ie=Math.round(ne),oe=Math.round(O),se=0;se<d;se++){var ue=se+ie*k[2]+oe*k[1]+A*k[0],le=se+te*N[2]+D*N[1]+I*N[0];y.values[le]=w[ue]}}}}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var gH={kernelName:my,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;ZU(a,"cumsum");var u=oE([i],a.shape.length),l=a;null!=u&&(l=xG({inputs:{x:a},backend:n,attrs:{perm:u}}));var c=uE(1,a.shape.length)[0];if(c!==l.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(l.shape.length-1)+" but got axis="+c);for(var p=tk(l.dtype,"int32"),h=yg(Hv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?0:f[y];else{var b=m(v,g-1);h[y]=o?f[b]+h[b]:f[y]+h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=xG({inputs:{x:x},backend:n,attrs:{perm:sE(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var yH={kernelName:gy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=yV(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var l=bV(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(l.shape,i.dtype,l.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}};var bH={kernelName:yy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Uv("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+o}));for(var s=a.shape[0],u=a.shape[1],l=a.shape[2],c=a.shape[3],p=u*i,h=l*i,f=c/(i*i),d=n.data.get(a.dataId).values,m=new Float32Array(s*p*h*f),v=0,g=0;g<s;++g)for(var y=0;y<p;++y)for(var b=Math.floor(y/i),x=y%i,w=0;w<h;++w)for(var k=Math.floor(w/i),N=(x*i+w%i)*f,I=0;I<f;++I){var S=I+N+c*(k+l*(b+u*g));m[v++]=d[S]}return n.makeTensorInfo([s,p,h,f],a.dtype,m)}};function xH(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,l=r.dimRoundingMode;ZU([a,i],"depthwiseConv2DNative");var c=dg(a.shape),p=dg(i.shape),h=u;null==h&&(h=[1,1]),Uv(AS(o,h),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+h+"'"}));for(var f=kS(a.shape,i.shape,o,h,s,l,!0),d=f.filterHeight,m=f.filterWidth,v=f.dilationHeight,g=f.dilationWidth,y=f.padInfo,b=y.left,x=y.top,w=f.outChannels/f.inChannels,k=new Gw(f.outShape,a.dtype),N=n.data.get(a.dataId).values,I=n.data.get(i.dataId).values,S=k.values,T=0;T<f.batchSize;++T)for(var E=T*c[0],C=T*k.strides[0],R=0;R<f.outHeight;++R)for(var A=C+R*k.strides[1],_=R*f.strideHeight-x,F=0;F<d;++F){var D=_+F*v;if(!(D<0||D>=f.inHeight))for(var O=F*p[0],M=E+D*c[1],L=0;L<f.outWidth;++L)for(var z=A+L*k.strides[2],P=L*f.strideWidth-b,B=0;B<m;++B){var W=P+B*g;if(!(W<0||W>=f.inWidth))for(var U=O+B*p[1],V=M+W*f.inChannels,G=z,j=U,H=0;H<f.inChannels;++H){for(var q=N[V+H],K=0;K<w;++K)S[G+K]+=q*I[j+K];G+=w,j+=w}}}return n.makeTensorInfo(k.shape,k.dtype,k.values)}var wH={kernelName:by,backendName:"cpu",kernelFunc:xH};var kH={kernelName:xy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=r.filterShape;ZU([a,i],"depthwiseConv2dNativeBackpropFilter");for(var p=kS(a.shape,c,o,s,u,l,!0),h=p.strideHeight,f=p.strideWidth,d=p.filterHeight,m=p.filterWidth,v=new Gw(p.filterShape,"float32"),g=p.padInfo.left,y=p.padInfo.top,b=p.outChannels/p.inChannels,x=n.data.get(a.dataId).values,w=new Gw(a.shape,a.dtype,x),k=n.data.get(i.dataId).values,N=new Gw(i.shape,i.dtype,k),I=0;I<d;++I)for(var S=Math.max(0,Math.ceil((y-I)/h)),T=Math.min(p.outHeight,(p.inHeight+y-I)/h),E=0;E<m;++E)for(var C=Math.max(0,Math.ceil((g-E)/f)),R=Math.min(p.outWidth,(p.inWidth+g-E)/f),A=0;A<p.outChannels;++A){for(var _=Math.trunc(A/b),F=A%b,D=0,O=0;O<p.batchSize;++O)for(var M=S;M<T;++M)for(var L=I+M*h-y,z=C;z<R;++z){var P=E+z*f-g;D+=w.get(O,L,P,_)*N.get(O,M,z,A)}v.set(D,I,E,_,F)}return n.makeTensorInfo(v.shape,v.dtype,v.values)}};var NH={kernelName:wy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=r.inputShape;ZU([a,i],"depthwiseConv2DNativeBackpropInput");for(var p=dg(a.shape),h=dg(i.shape),f=kS(c,i.shape,o,s,u,l,!0),d=new Gw(f.inShape,"float32"),m=d.values,v=d.strides,g=v[0],y=v[1],b=v[2],x=n.data.get(a.dataId).values,w=p[0],k=p[1],N=p[2],I=n.data.get(i.dataId).values,S=h[0],T=h[1],E=h[2],C=f.batchSize,R=f.filterHeight,A=f.filterWidth,_=f.inChannels,F=f.inHeight,D=f.inWidth,O=f.outChannels,M=f.outHeight,L=f.outWidth,z=f.strideHeight,P=f.strideWidth,B=R-1-f.padInfo.top,W=A-1-f.padInfo.left,U=O/_,V=0;V<C;++V)for(var G=0;G<_;++G)for(var j=0;j<F;++j)for(var H=j-B,q=Math.max(0,Math.ceil(H/z)),K=Math.min(M,(R+H)/z),X=0;X<D;++X){for(var Y=X-W,J=Math.max(0,Math.ceil(Y/P)),Z=Math.min(L,(A+Y)/P),Q=0,$=q;$<K;++$)for(var ee=$*z-H,te=J;te<Z;++te)for(var ne=w*V+k*$+N*te,re=S*(R-1-ee)+T*(A-1-(te*P-Y))+E*G,ae=0;ae<U;++ae){Q+=x[ne+(G*U+ae)]*I[re+ae]}m[g*V+y*j+b*X+G]=Q}return n.makeTensorInfo(d.shape,d.dtype,d.values)}};var IH={kernelName:ky,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=Hv(r.shape),i=n.data.get(r.dataId).values,o=_N([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var l=[].concat(r.shape,r.shape);return n.makeTensorInfo(l,o.dtype,o.values)}},SH={kernelName:Ny,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,l=n,c=l.data.get(a.dataId).values,p=a.shape.length,h=l.data.get(i.dataId).values,f=i.shape.length,d=bS(a.shape,i.shape,o,s,"NHWC",u),m=d.batchSize,v=d.inHeight,g=d.inWidth,y=d.inChannels,b=d.outHeight,x=d.outWidth,w=d.padInfo,k=d.strideHeight,N=d.strideWidth,I=d.filterHeight,S=d.filterWidth,T=d.dilationHeight,E=d.dilationWidth,C=d.outShape,R=Hv(C),A=C.length,_=tg(a.dtype,R),F=0;F<m;++F)for(var D=0;D<b;++D)for(var O=D*k-w.top,M=0;M<x;++M)for(var L=M*N-w.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<I;++B){var W=O+B*T;if(W>=0&&W<v)for(var U=0;U<S;++U){var V=L+U*E;if(V>=0&&V<g){var G=wg([F,W,V,z],p,dg(a.shape)),j=wg([B,U,z],f,dg(i.shape)),H=c[G]+h[j];H>P&&(P=H)}}}_[wg([F,D,M,z],A,dg(C))]=P}return{dataId:l.write(Aw(_,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},TH={kernelName:Sy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,l=r.dilations,c=n,p=vg(a.shape,c.data.get(a.dataId).values),h=vg(i.shape,c.data.get(i.dataId).values),f=bS(a.shape,i.shape,s,u,"NHWC",l),d=f.batchSize,m=f.inHeight,v=f.inWidth,g=f.inChannels,y=f.outHeight,b=f.outWidth,x=f.padInfo,w=f.strideHeight,k=f.strideWidth,N=f.filterHeight,I=f.filterWidth,S=f.dilationHeight,T=f.dilationWidth,E=f.outShape;Uv(o.rank===E.length,(function(){return"Error in Dilation2DBackpropFilter, dy must have the same rank as output "+E.length+", but got "+o.rank}));for(var C=vg(E,c.data.get(o.dataId).values),R=bg(i.shape,i.dtype),A=0;A<d;++A)for(var _=0;_<y;++_)for(var F=_*w-x.top,D=0;D<b;++D)for(var O=D*k-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=0,P=0,B=0;B<N;++B){var W=F+B*S;if(W>=0&&W<m)for(var U=0;U<I;++U){var V=O+U*T;if(V>=0&&V<v){var G=p[A][W][V][M]+h[B][U][M];G>L&&(L=G,z=B,P=U)}}}R[z][P][M]+=C[A][_][D][M]}return{dataId:c.write(Aw(R,a.dtype),i.shape,i.dtype),shape:i.shape,dtype:i.dtype}}},EH={kernelName:Iy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,l=r.dilations,c=n,p=vg(a.shape,c.data.get(a.dataId).values),h=vg(i.shape,c.data.get(i.dataId).values),f=bS(a.shape,i.shape,s,u,"NHWC",l),d=f.batchSize,m=f.inHeight,v=f.inWidth,g=f.inChannels,y=f.outHeight,b=f.outWidth,x=f.padInfo,w=f.strideHeight,k=f.strideWidth,N=f.filterHeight,I=f.filterWidth,S=f.dilationHeight,T=f.dilationWidth,E=f.outShape;Uv(o.rank===E.length,(function(){return"Error in Dilation2DBackpropInput, dy must have the same rank as output "+E.length+", but got "+o.rank}));for(var C=vg(E,c.data.get(o.dataId).values),R=bg(a.shape,a.dtype),A=0;A<d;++A)for(var _=0;_<y;++_)for(var F=_*w-x.top,D=0;D<b;++D)for(var O=D*k-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=F<0?0:F,P=O<0?0:O,B=0;B<N;++B){var W=F+B*S;if(W>=0&&W<m)for(var U=0;U<I;++U){var V=O+U*T;if(V>=0&&V<v){var G=p[A][W][V][M]+h[B][U][M];G>L&&(L=G,z=W,P=V)}}}R[A][z][P][M]+=C[A][_][D][M]}return{dataId:c.write(Aw(R,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function CH(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims;ZU(i,"sum");var u=(t="bool"===i.dtype?cV({inputs:{x:i},backend:r,attrs:{dtype:"int32"}}):oV({inputs:{x:i},backend:r})).shape.length,l=Qv(o,t.shape),c=oE(l,u),p=l,h=t;null!=c&&(h=xG({inputs:{x:t},backend:r,attrs:{perm:c}}),p=uE(p.length,u)),iE("sum",p,h.shape.length);for(var f=rE(h.shape,p),d=f[0],m=f[1],v=iV(r,d,tk(h.dtype,"int32")),g=Hv(m),y=r.data.get(v.dataId).values,b=r.data.get(h.dataId).values,x=0;x<y.length;++x){for(var w=x*g,k=0,N=0;N<g;++N)k+=b[w+N];y[x]=k}if(s){var I=v;v=vj({inputs:{x:v},backend:r,attrs:{shape:aE(v.shape,l)}}),r.disposeIntermediateTensorInfo(I)}return r.disposeIntermediateTensorInfo(t),null!=c&&r.disposeIntermediateTensorInfo(h),v}var RH={kernelName:ax,backendName:"cpu",kernelFunc:CH};var AH={kernelName:Ey,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=m_(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;g_(i.length,s,r);for(var u=y_(o,s),l=u.path,c=u.steps,p=c.length,h=null,f=i.length,d=[],m=0;m<p;++m){for(var v,g=Fv(c[m]);!(v=g()).done;){var y=v.value,b=v_(f,s[y]),x=b.permutationIndices,w=b.expandDims,k=void 0;b_(x)?k=r[y]:(k=xG({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(k));for(var N=k.shape.slice(),I=0;I<w.length;++I)N.splice(w[I],0,1);qv(k.shape,N)||(k=vj({inputs:{x:k},backend:n,attrs:{shape:N}}),d.push(k)),null===h?h=k:(h=hG({inputs:{a:k,b:h},backend:n}),d.push(h))}m<p-1&&(l[m]>=0&&(h=CH({inputs:{x:h},backend:n,attrs:{axis:l[m]-(i.length-f),keepDims:!1}}),d.push(h)),f--)}for(var S=0,T=d;S<T.length;S++){var E=T[S];E!==h&&n.disposeIntermediateTensorInfo(E)}return h}};var _H={kernelName:Ry,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y;ZU([r,a],"eluGrad");for(var i=new Float32Array(Hv(a.shape)),o=n.data.get(a.dataId).values,s=n.data.get(r.dataId).values,u=0;u<o.length;++u){var l=o[u];i[u]=l>=1?s[u]:s[u]*(l+1)}return n.makeTensorInfo(a.shape,"float32",i)}},FH=wV(Ay,(function(e){var t=Math.sign(e),n=Math.abs(e),r=1/(1+.3275911*n);return t*(1-((((1.061405429*r-1.453152027)*r+1.421413741)*r-.284496736)*r+.254829592)*r*Math.exp(-n*n))})),DH={kernelName:Ay,backendName:"cpu",kernelFunc:FH};function OH(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.input,i=r.dim,o=a.shape.length,s=a.shape.slice(),u=i;return i<0&&(Uv(-(o+1)<=i,(function(){return"Axis must be in the interval ["+-(o+1)+", "+o+"]"})),u=o+i+1),s.splice(u,0,1),vj({inputs:{x:a},backend:n,attrs:{shape:s}})}var MH={kernelName:Dy,backendName:"cpu",kernelFunc:OH},LH=nV((function(e,t){return e/t})),zH=hV(Ty,LH),PH={kernelName:Ty,backendName:"cpu",kernelFunc:zH};function BH(e,t,n){for(var r=e.shape,a=r[0],i=r[1],o=n.data.get(e.dataId),s=o.complexTensorInfos.real,u=o.complexTensorInfos.imag,l=[a,i],c=Hv(l),p=eg("float32",c),h=eg("float32",c),f=0;f<a;f++){for(var d=FG({inputs:{x:s},backend:n,attrs:{begin:[f,0],size:[1,i]}}),m=FG({inputs:{x:u},backend:n,attrs:{begin:[f,0],size:[1,i]}}),v=rV({inputs:{real:d,imag:m},backend:n}),g=WH(v,t,n),y=i_(g.real,g.imag),b=0;b<i;b++){var x=l_(y,b);p[f*i+b]=x.real,h[f*i+b]=x.imag}n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v)}var w=n.makeTensorInfo(l,"float32",p),k=n.makeTensorInfo(l,"float32",h),N=rV({inputs:{real:w,imag:k},backend:n});return n.disposeIntermediateTensorInfo(w),n.disposeIntermediateTensorInfo(k),N}function WH(e,t,n){var r,a=Hv(e.shape),i=n.data.get(e.dataId),o=n.data.get(i.complexTensorInfos.real.dataId).values,s=n.data.get(i.complexTensorInfos.imag.dataId).values;if(0==((r=a)&r-1)){var u=UH(o,s,a,t,n),l=[e.shape[0],e.shape[1]];if(t){var c=n.makeTensorInfo(l,"float32",u.real),p=n.makeTensorInfo(l,"float32",u.imag),h=n.makeTensorInfo([],"float32",Rw(a,"float32")),f=oV({inputs:{x:h},backend:n}),d=PH.kernelFunc({inputs:{a:c,b:h},backend:n}),m=PH.kernelFunc({inputs:{a:p,b:f},backend:n}),v=n.data.get(d.dataId).values,g=n.data.get(m.dataId).values;return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),{real:v,imag:g}}return u}return o_(function(e,t,n){for(var r=new Float32Array(2*t),a=0;a<t;a++){for(var i=0,o=0,s=0;s<t;s++){var u=h_(a*s,t,n),l=l_(e,s);i+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(i/=t,o/=t),c_(r,i,o,a)}return r}(i_(o,s),a,t))}function UH(e,t,n,r,a){if(1===n)return{real:e,imag:t};var i=i_(e,t),o=n/2,s=s_(i),u=s.real,l=s.imag,c=[u.length],p=a.makeTensorInfo(c,"float32",u),h=a.makeTensorInfo(c,"float32",l),f=rV({inputs:{real:p,imag:h},backend:a}),d=u_(i),m=d.real,v=d.imag,g=[m.length],y=a.makeTensorInfo(g,"float32",m),b=a.makeTensorInfo(g,"float32",v),x=rV({inputs:{real:y,imag:b},backend:a}),w=UH(u,l,o,r,a),k=w.real,N=w.imag,I=[k.length],S=a.makeTensorInfo(I,"float32",k),T=a.makeTensorInfo(I,"float32",N),E=rV({inputs:{real:S,imag:T},backend:a}),C=UH(m,v,o,r,a),R=C.real,A=C.imag,_=[R.length],F=a.makeTensorInfo(_,"float32",R),D=a.makeTensorInfo(_,"float32",A),O=rV({inputs:{real:F,imag:D},backend:a}),M=p_(n,r),L=[M.real.length],z=a.makeTensorInfo(L,"float32",M.real),P=a.makeTensorInfo(L,"float32",M.imag),B=rV({inputs:{real:z,imag:P},backend:a}),W=hG({inputs:{a:B,b:O},backend:a}),U=vV({inputs:{a:E,b:W},backend:a}),V=ZG({inputs:{a:E,b:W},backend:a}),G=uV({inputs:{input:U},backend:a}),j=uV({inputs:{input:V},backend:a}),H=tH({inputs:{input:U},backend:a}),q=tH({inputs:{input:V},backend:a}),K=rH({inputs:[G,j],backend:a,attrs:{axis:0}}),X=rH({inputs:[H,q],backend:a,attrs:{axis:0}}),Y=a.data.get(K.dataId).values,J=a.data.get(X.dataId).values;return a.disposeIntermediateTensorInfo(p),a.disposeIntermediateTensorInfo(h),a.disposeIntermediateTensorInfo(f),a.disposeIntermediateTensorInfo(y),a.disposeIntermediateTensorInfo(b),a.disposeIntermediateTensorInfo(x),a.disposeIntermediateTensorInfo(S),a.disposeIntermediateTensorInfo(T),a.disposeIntermediateTensorInfo(E),a.disposeIntermediateTensorInfo(F),a.disposeIntermediateTensorInfo(D),a.disposeIntermediateTensorInfo(O),a.disposeIntermediateTensorInfo(z),a.disposeIntermediateTensorInfo(P),a.disposeIntermediateTensorInfo(B),a.disposeIntermediateTensorInfo(W),a.disposeIntermediateTensorInfo(U),a.disposeIntermediateTensorInfo(V),a.disposeIntermediateTensorInfo(G),a.disposeIntermediateTensorInfo(H),a.disposeIntermediateTensorInfo(j),a.disposeIntermediateTensorInfo(q),a.disposeIntermediateTensorInfo(K),a.disposeIntermediateTensorInfo(X),{real:Y,imag:J}}var VH={kernelName:My,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.input,a=Hv(r.shape),i=r.shape[r.shape.length-1],o=vj({inputs:{x:r},backend:n,attrs:{shape:[a/i,i]}}),s=BH(o,!1,n),u=vj({inputs:{x:s},backend:n,attrs:{shape:r.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}};function GH(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype||pg(a),o=tg(i,Hv(r));return function(e,t,n){e.fill(t)}(o,a),t.makeTensorInfo(r,i,o)}var jH={kernelName:Ly,backendName:"cpu",kernelFunc:GH};var HH={kernelName:zy,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=(e.attrs,e.backend),r=t.image,a=n,i=eg(r.dtype,Hv(r.shape)),o=r.shape,s=o[0],u=o[1],l=o[2],c=o[3],p=a.data.get(r.dataId).values,h=0;h<s;h++)for(var f=h*l*u*c,d=0;d<u;d++)for(var m=d*(l*c),v=0;v<l;v++)for(var g=v*c,y=0;y<c;y++){var b=Math.round(l-v-1),x=f+m+g+y,w=p[x];if(b>=0&&b<l)w=p[f+m+b*c+y];i[x]=w}return{dataId:a.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},qH=nV((function(e,t){return Math.floor(e/t)})),KH=hV(By,qH,null,"int32"),XH={kernelName:By,backendName:"cpu",kernelFunc:KH};var YH={kernelName:Ox,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dataFormat,p=r.dilations,h=r.dimRoundingMode,f=r.activation,d=r.leakyreluAlpha,m=iH({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:h}});if(o){var v=m;m=vV({inputs:{a:m,b:o},backend:n}),n.disposeIntermediateTensorInfo(v)}if(f){var g=m;m=mj(n,m,f,s,d),n.disposeIntermediateTensorInfo(g)}return m}};var JH={kernelName:Mx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dataFormat,p=r.dilations,h=r.dimRoundingMode,f=r.activation,d=r.leakyreluAlpha,m=xH({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:h}});if(o){var v=m;m=vV({inputs:{a:m,b:o},backend:n}),n.disposeIntermediateTensorInfo(v)}if(f){var g=m;m=mj(n,m,f,s,d),n.disposeIntermediateTensorInfo(g)}return m}};var ZH={kernelName:Vy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=Hv(r.shape),o=a.shape,s=o[o.length-1],u=mI(r,a),l=u[0],c=u[1],p=u[2],h=u[3];if(0===c)return n.makeTensorInfo(l,r.dtype,[]);var f=BV(n.data.get(a.dataId).values,n.bufferSync(r),r.dtype,c,s,p,h,r.shape,i);return n.makeTensorInfo(l,r.dtype,f.values)}};var QH={kernelName:Uy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims;ZU([a,i],"gatherV2");for(var u=Qv(o,a.shape)[0],l=n.data.get(i.dataId).values,c=a.shape[u],p=function(e){var t=l[e];Uv(t<=c-1&&t>=0,(function(){return"GatherV2: the index value "+t+" is not in [0, "+(c-1)+"]"}))},h=0;h<l.length;++h)p(h);var f=s;null==s&&(f=0);var d=Hv(i.shape),m=L_(a,i,u,f),v=vj({inputs:{x:a},backend:n,attrs:{shape:[m.batchSize,m.outerSize,m.dimSize,m.sliceSize]}}),g=vj({inputs:{x:i},backend:n,attrs:{shape:[m.batchSize,d/m.batchSize]}}),y=[m.batchSize,m.outerSize,d/m.batchSize,m.sliceSize],b=n.bufferSync(g),x=WV(n.bufferSync(v),b,y);return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(g),n.makeTensorInfo(m.outputShape,x.dtype,x.values)}};var $H={kernelName:qy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.input,a=Hv(r.shape),i=r.shape[r.shape.length-1],o=vj({inputs:{x:r},backend:n,attrs:{shape:[a/i,i]}}),s=BH(o,!0,n),u=vj({inputs:{x:s},backend:n,attrs:{shape:r.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}},eq=wV(Xy,(function(e){return Number.isFinite(e)?1:0}),"bool"),tq={kernelName:Xy,backendName:"cpu",kernelFunc:eq},nq=wV(Yy,(function(e){return Math.abs(e)===1/0?1:0}),"bool"),rq={kernelName:Yy,backendName:"cpu",kernelFunc:nq},aq=wV(Jy,(function(e){return Number.isNaN(e)?1:0}),"bool"),iq={kernelName:Jy,backendName:"cpu",kernelFunc:aq};var oq={kernelName:eb,backendName:"cpu",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=$V(n.start,n.stop,n.num);return t.makeTensorInfo([r.length],"float32",r)}},sq=wV(nb,(function(e){return Math.log1p(e)})),uq={kernelName:nb,backendName:"cpu",kernelFunc:sq},lq=nV((function(e,t){return e&&t})),cq=hV(rb,lq,null,"bool"),pq={kernelName:rb,backendName:"cpu",kernelFunc:cq},hq=wV(ab,(function(e){return e?0:1}),"bool"),fq={kernelName:ab,backendName:"cpu",kernelFunc:hq},dq=nV((function(e,t){return e||t})),mq=hV(ib,dq,null,"bool"),vq={kernelName:ib,backendName:"cpu",kernelFunc:mq};var gq={kernelName:sb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta;ZU(a,"LRN");var l=a.shape[3],c=l-1,p=n.data.get(a.dataId).values,h=Hv(a.shape),f=new Float32Array(h);function d(e){for(var t=e%l,n=e-t+Math.max(0,t-i),r=e-t+Math.min(t+i,c),a=0;n<=r;n++){var o=p[n];a+=o*o}return a}for(var m=0;m<h;m++){var v=d(m),g=p[m]*Math.pow(o+s*v,-u);f[m]=g}return n.makeTensorInfo(a.shape,a.dtype,f)}};var yq={kernelName:ub,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,l=r.alpha,c=r.beta;ZU(o,"LRNGrad");for(var p=Hv(o.shape),h=o.shape[3],f=n.data.get(o.dataId).values,d=n.data.get(a.dataId).values,m=n.data.get(i.dataId).values,v=new Float32Array(p),g=p,y=0;y<g;y++){for(var b=y%h,x=y-b+Math.max(0,b-s),w=y-b+Math.min(h,b+s+1),k=0,N=x;N<w;N++)k+=Math.pow(d[N],2);k=l*k+u;for(var I=x;I<w;I++){var S=-2*l*c*d[I]*m[y]/k;y===I&&(S+=Math.pow(k,-c)),S*=f[y],v[I]+=S}}return n.makeTensorInfo(o.shape,a.dtype,v)}};function bq(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=n,u=a.shape,l=u.length,c=Qv(i,u),p=c,h=oE(p,l),f=s.data.get(a.dataId).values;if(null!=h){for(var d=new Array(l),m=0;m<d.length;m++)d[m]=u[h[m]];f=bG(f,u,a.dtype,h,d),p=uE(p.length,l),u=d}ZU(a,"max"),iE("max",p,l);var v=rE(u,p),g=v[0],y=rG(f,Hv(v[1]),g,a.dtype),b=s.write(y,g,a.dtype),x=g;o&&(x=aE(g,c));return{dataId:b,shape:x,dtype:a.dtype}}var xq={kernelName:lb,backendName:"cpu",kernelFunc:bq};var wq={kernelName:pb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;ZU(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Uv(AS(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l,c=xS(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&qv(c.inShape,c.outShape))l=oV({inputs:{x:a},backend:n});else{var p=n.data.get(a.dataId).values,h=dg(a.shape),f=Uj(p,a.shape,a.dtype,h,c,"max");l=n.makeTensorInfo(c.outShape,a.dtype,f.values)}return l}};var kq={kernelName:fb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,l=r.dataFormat;ZU(a,"maxPool3d");var c=wS(a.shape,i,o,1,s,u,l),p=Gj(n.data.get(a.dataId).values,a.shape,a.dtype,dg(a.shape),c,"max");return n.makeTensorInfo(p.shape,"float32",p.values)}};var Nq={kernelName:db,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,l=r.dimRoundingMode;ZU([a,i],"maxPool3DGrad");for(var c=wS(i.shape,o,s,1,u,l),p=function(e,t){for(var n=_N(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m=0;m<t.batchSize;++m)for(var v=0;v<t.inChannels;++v)for(var g=0;g<t.outDepth;++g){for(var y=g*r-h,b=y;b<0;)b+=o;for(var x=Math.min(t.inDepth,l+y),w=0;w<t.outHeight;++w){for(var k=w*a-f,N=k;N<0;)N+=s;for(var I=Math.min(t.inHeight,c+k),S=0;S<t.outWidth;++S){for(var T=S*i-d,E=T;E<0;)E+=u;for(var C=Math.min(t.inWidth,p+T),R=Number.NEGATIVE_INFINITY,A=-1,_=b;_<x;_+=o)for(var F=_-y,D=N;D<I;D+=s)for(var O=D-k,M=E;M<C;M+=u){var L=M-T,z=e.get(m,_,D,M,v);z>=R&&(R=z,A=F*c*p+O*c+L)}n.set(A,m,g,w,S,v)}}}return n}(n.bufferSync(i),c),h=c.strideDepth,f=c.strideHeight,d=c.strideWidth,m=c.dilationDepth,v=c.dilationHeight,g=c.dilationWidth,y=c.effectiveFilterDepth,b=c.effectiveFilterHeight,x=c.effectiveFilterWidth,w=y-1-c.padInfo.front,k=x-1-c.padInfo.left,N=b-1-c.padInfo.top,I=_N(i.shape,"float32"),S=n.bufferSync(a),T=0;T<c.batchSize;++T)for(var E=0;E<c.inChannels;++E)for(var C=0;C<c.inDepth;++C)for(var R=0;R<c.inHeight;++R)for(var A=0;A<c.inWidth;++A){for(var _=C-w,F=R-N,D=A-k,O=0,M=0;M<y;M+=m){var L=(_+M)/h;if(!(L<0||L>=c.outDepth||Math.floor(L)!==L))for(var z=0;z<b;z+=v){var P=(F+z)/f;if(!(P<0||P>=c.outHeight||Math.floor(P)!==P))for(var B=0;B<x;B+=g){var W=(D+B)/d;if(!(W<0||W>=c.outWidth||Math.floor(W)!==W)){var U=y*b*x-1-p.get(T,L,P,W,E)===M*b*x+z*x+B?1:0;if(0!==U)O+=S.get(T,L,P,W,E)*U}}}}I.set(O,T,C,R,A,E)}return n.makeTensorInfo(I.shape,I.dtype,I.values)}};var Iq={kernelName:hb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;ZU([i,t.output],"maxPoolGrad");for(var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=xS(o.shape,s,u,1,l,c),h=n.data.get(o.dataId).values,f=_N(p.outShape,o.dtype,Vj(h,o.shape,o.dtype,p).values),d=p.strideHeight,m=p.strideWidth,v=p.dilationHeight,g=p.dilationWidth,y=p.effectiveFilterHeight,b=p.effectiveFilterWidth,x=b-1-p.padInfo.left,w=y-1-p.padInfo.top,k=_N(o.shape,"float32"),N=n.data.get(a.dataId).values,I=_N(a.shape,"float32",N),S=0;S<p.batchSize;++S)for(var T=0;T<p.inChannels;++T)for(var E=0;E<p.inHeight;++E)for(var C=0;C<p.inWidth;++C){for(var R=E-w,A=C-x,_=0,F=0;F<y;F+=v){var D=(R+F)/d;if(!(D<0||D>=p.outHeight||Math.floor(D)!==D))for(var O=0;O<b;O+=g){var M=(A+O)/m;if(!(M<0||M>=p.outWidth||Math.floor(M)!==M)){var L=y*b-1-f.get(S,D,M,T)===F*b+O?1:0;if(0!==L)_+=I.get(S,D,M,T)*L}}}k.set(_,S,E,C,T)}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var Sq={kernelName:mb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,l=r;ZU(a,"MaxPoolWithArgmax");var c=l.data.get(a.dataId).values,p=xS(a.shape,i,o,[1,1],s),h=function(e,t,n,r,a){var i=Uj(e,0,n,dg(t),a,"max"),o=Vj(e,t,n,a,!0,r);return[i.values,o.values]}(c,a.shape,a.dtype,u,p),f=h[0],d=h[1],m=l.write(f,p.outShape,a.dtype),v=l.write(d,p.outShape,a.dtype);return[{dataId:m,shape:p.outShape,dtype:a.dtype},{dataId:v,shape:p.outShape,dtype:"int32"}]}};var Tq={kernelName:vb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=Qv(i,a.shape),u=Hv(rE(a.shape,s)[1]),l=[],c=n.makeTensorInfo([],"float32",new Float32Array([u]));l.push(c);var p=cV({inputs:{x:a},backend:n,attrs:{dtype:"float32"}});l.push(p);var h=zH({inputs:{a:p,b:c},backend:n});l.push(h);var f=CH({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:o}});return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),f}};var Eq={kernelName:gb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;ZU(a,"min");var s=Qv(i,a.shape),u=s,l=oE(u,a.shape.length),c=a;null!=l&&(c=xG({inputs:{x:a},backend:n,attrs:{perm:l}}),u=uE(u.length,a.shape.length)),iE("min",u,c.shape.length);for(var p=rE(c.shape,u),h=p[0],f=Hv(p[1]),d=yg(Hv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];(Number.isNaN(x)||x<y)&&(y=x)}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=vj({inputs:{x:w},backend:n,attrs:{shape:aE(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var Cq={kernelName:bb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode;ZU(a,"mirrorPad");for(var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),l=i.map((function(e,t){return e[0]+a.shape[t]})),c="reflect"===o?0:1,p=n.data.get(a.dataId).values,h=a.shape.length,f=dg(a.shape),d=Hv(s),m=s.length,v=dg(s),g=eg(a.dtype,d),y=0;y<d;y++){for(var b=kg(y,m,v),x=0;x<m;x++)b[x]<u[x]?b[x]=2*u[x]-b[x]-c:b[x]>=l[x]&&(b[x]=2*(l[x]-1)-b[x]+c);var w=wg(b=b.map((function(e,t){return e-u[t]})),h,f);g[y]=p[w]}return{dataId:n.write(g,s,a.dtype),shape:s,dtype:a.dtype}}},Rq=nV((function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})),Aq=hV(xb,Rq),_q={kernelName:xb,backendName:"cpu",kernelFunc:Aq};function Fq(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.dim,o=a.shape.length,s=i;if(-1===s&&(s=o-1),s!==o-1)throw Error("Softmax along a non-last dimension is not yet supported. Logits was rank "+o+" and dim was "+s);var u=Qv([s],a.shape),l=bq({inputs:{x:a},backend:n,attrs:{reductionIndices:u,keepDims:!1}}),c=aE(l.shape,u),p=vj({inputs:{x:l},backend:n,attrs:{shape:c}}),h=ZG({inputs:{a:a,b:p},backend:n}),f=_V({inputs:{x:h},backend:n}),d=CH({inputs:{x:f},backend:n,attrs:{axis:u,keepDims:!1}}),m=vj({inputs:{x:d},backend:n,attrs:{shape:c}}),v=zH({inputs:{a:f,b:m},backend:n});return n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}var Dq={kernelName:sx,backendName:"cpu",kernelFunc:Fq};var Oq={kernelName:wb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.numSamples,o=r.seed,s=r.normalized;ZU(a,"multinomial");for(var u=s?a:Fq({inputs:{logits:a},backend:n,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=n.data.get(u.dataId).values,h=[l,i],f=yg(Hv(h),"int32"),d=0;d<l;++d){var m=d*c,v=new Float32Array(c-1);v[0]=p[m];for(var g=1;g<v.length;++g)v[g]=v[g-1]+p[m+g];for(var y=ZE(o.toString()),b=d*i,x=0;x<i;++x){var w=y();f[b+x]=v.length;for(var k=0;k<v.length;k++)if(w<v[k]){f[b+x]=k;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(h,"int32",f)}},Mq=zR;var Lq={kernelName:Sb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;ZU(a,"NonMaxSuppression");var l=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,p=Mq(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},zq=PR;var Pq={kernelName:Tb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.padToMaxOutputSize;ZU(a,"NonMaxSuppressionPadded");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=zq(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},Bq=BR;var Wq={kernelName:Eb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma;ZU(a,"NonMaxSuppressionWithScore");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=Bq(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var Uq={kernelName:Rb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.depth,o=r.onValue,s=r.offValue;ZU(a,"oneHot");var u=Hv(a.shape),l=new Float32Array(u*i);l.fill(s);for(var c=n.data.get(a.dataId).values,p=0;p<u;++p)c[p]>=0&&c[p]<i&&(l[p*i+c[p]]=o);return n.makeTensorInfo([].concat(a.shape,[i]),"int32",l)}};function Vq(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=uV({inputs:{input:r},backend:n}),i=Vq({inputs:{x:a},backend:n}),o=tH({inputs:{input:r},backend:n}),s=Vq({inputs:{x:o},backend:n}),u=rV({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return GH({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var Gq={kernelName:Rx,backendName:"cpu",kernelFunc:Vq};var jq={kernelName:Cb,backendName:"cpu",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported for string tensors");if("complex64"===a.dtype){var i=uV({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=tH({inputs:{input:a},backend:r}),u=Vq({inputs:{x:s},backend:r}),l=rV({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return GH({backend:r,attrs:{shape:a.shape,value:1,dtype:a.dtype}})}};function Hq(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return OH({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Vv(a,e.shape,"All tensors passed to stack must have matching shapes"),Uv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=rH({inputs:t.map((function(e){var t=OH({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}var qq={kernelName:Ab,backendName:"cpu",kernelFunc:Hq};var Kq={kernelName:_b,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;ZU(a,"pad");var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),l=n.data.get(a.dataId).values,c=Hv(a.shape),p=a.shape.length,h=dg(a.shape),f=Hv(s),d=s.length,m=dg(s),v=eg(a.dtype,f);0!==o&&v.fill(o);for(var g=0;g<c;g++){v[wg(kg(g,p,h).map((function(e,t){return e+u[t]})),d,m)]=l[g]}return{dataId:n.write(v,s,a.dtype),shape:s,dtype:a.dtype}}},Xq=nV((function(e,t){return Math.pow(e,t)})),Yq=hV(Fb,Xq),Jq={kernelName:Fb,backendName:"cpu",kernelFunc:Yq};var Zq={kernelName:Mb,backendName:"cpu",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.dtype,o=IG(r,a,n.step,i);return t.makeTensorInfo([o.length],i,o)}},Qq=wV(zb,(function(e){return 1/e})),$q={kernelName:zb,backendName:"cpu",kernelFunc:Qq};var eK={kernelName:Vb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size;ZU(a,"resizeBilinear");for(var u=dg(a.shape),l=s[0],c=s[1],p=a.shape,h=p[0],f=p[1],d=p[2],m=p[3],v=n.data.get(a.dataId).values,g=new Float32Array(Hv([h,l,c,m])),y=[i&&l>1?f-1:f,i&&c>1?d-1:d],b=[i&&l>1?l-1:l,i&&c>1?c-1:c],x=0,w=y[0]/b[0],k=y[1]/b[1],N=0;N<h;N++)for(var I=0;I<l;I++){var S=void 0;S=o?w*(I+.5)-.5:w*I;for(var T=Math.max(0,Math.floor(S)),E=S-T,C=Math.min(f-1,Math.ceil(S)),R=N*u[0]+T*u[1],A=N*u[0]+C*u[1],_=0;_<c;_++){var F=void 0;F=o?k*(_+.5)-.5:k*_;for(var D=Math.max(0,Math.floor(F)),O=F-D,M=Math.min(d-1,Math.ceil(F)),L=R+D*u[2],z=A+D*u[2],P=R+M*u[2],B=A+M*u[2],W=0;W<m;W++){var U=v[L+W],V=v[z+W],G=U+(v[P+W]-U)*O,j=G+(V+(v[B+W]-V)*O-G)*E;g[x++]=j}}}return n.makeTensorInfo([h,l,c,m],"float32",g)}};var tK={kernelName:Gb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners;ZU([i,a],"resizeBilinearGrad");for(var s=dg(a.shape),u=a.shape,l=u[0],c=u[1],p=u[2],h=u[3],f=i.shape,d=f[1],m=f[2],v=new Float32Array(l*c*p*h),g=[o&&d>1?c-1:c,o&&m>1?p-1:p],y=[o&&d>1?d-1:d,o&&m>1?m-1:m],b=g[0]/y[0],x=g[1]/y[1],w=n.data.get(i.dataId).values,k=0,N=0;N<l;N++)for(var I=N*s[0],S=0;S<d;S++)for(var T=S*b,E=Math.floor(T),C=Math.min(Math.ceil(T),c-1),R=I+E*s[1],A=I+C*s[1],_=T-E,F=1-_,D=0;D<m;D++)for(var O=D*x,M=Math.floor(O),L=Math.min(Math.ceil(O),p-1),z=O-M,P=1-z,B=R+M*s[2],W=R+L*s[2],U=A+M*s[2],V=A+L*s[2],G=F*P,j=F*z,H=_*P,q=_*z,K=0;K<h;K++){var X=w[k++];v[B+K]+=X*G,v[W+K]+=X*j,v[U+K]+=X*H,v[V+K]+=X*q}return n.makeTensorInfo([l,p,c,h],"float32",v)}};var nK={kernelName:Wb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size;ZU(a,"resizeNearestNeighbor");for(var u=dg(a.shape),l=s[0],c=s[1],p=a.shape,h=p[0],f=p[1],d=p[2],m=p[3],v=n.data.get(a.dataId).values,g=new Float32Array(h*l*c*m),y=[i&&l>1?f-1:f,i&&c>1?d-1:d],b=[i&&l>1?l-1:l,i&&c>1?c-1:c],x=y[0]/b[0],w=y[1]/b[1],k=0,N=0;N<h;N++)for(var I=N*u[0],S=0;S<l;S++){var T=o?x*(S+.5):x*S,E=Math.min(f-1,i?Math.round(T):Math.floor(T));o&&(E=Math.max(0,E));for(var C=I+E*u[1],R=0;R<c;R++){var A=o?w*(R+.5):w*R,_=Math.min(d-1,i?Math.round(A):Math.floor(A));o&&(_=Math.max(0,_));for(var F=C+_*u[2],D=0;D<m;D++){var O=v[F+D];g[k++]=O}}}return n.makeTensorInfo([h,l,c,m],a.dtype,g)}};var rK={kernelName:Ub,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners;ZU([i,a],"resizeNearestNeighborGrad");for(var s=dg(a.shape),u=dg(i.shape),l=a.shape,c=l[0],p=l[1],h=l[2],f=l[3],d=i.shape,m=d[1],v=d[2],g=new Float32Array(c*p*h*f),y=n.data.get(i.dataId).values,b=[o&&m>1?p-1:p,o&&v>1?h-1:h],x=[o&&m>1?m-1:m,o&&v>1?v-1:v],w=b[0]/x[0],k=b[1]/x[1],N=1/w,I=1/k,S=2*Math.ceil(N)+2,T=2*Math.ceil(I)+2,E=0;E<c;E++)for(var C=E*s[0],R=0;R<p;R++)for(var A=C+R*s[1],_=Math.floor(R*N),F=Math.floor(_-S/2),D=0;D<h;D++)for(var O=A+D*s[2],M=Math.floor(D*I),L=Math.floor(M-T/2),z=0;z<f;z++){for(var P=0,B=0;B<S;B++){var W=B+F;if(!(W<0||W>=m)){var U=C+W*u[1],V=W*w;if(R===Math.min(p-1,o?Math.round(V):Math.floor(V)))for(var G=0;G<T;G++){var j=G+L;if(!(j<0||j>=v)){var H=U+j*u[2],q=j*k;D===Math.min(h-1,o?Math.round(q):Math.floor(q))&&(P+=y[H+z])}}}}g[O+z]=P}return n.makeTensorInfo(a.shape,a.dtype,g)}};var aK={kernelName:Hb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims;ZU(a,"reverse");var o=a.shape.length,s=Qv(i,a.shape);if(0===o)return oV({inputs:{x:a},backend:n});for(var u=new Gw(a.shape,a.dtype),l=n.bufferSync(a),c=function(e){var t=u.indexToLoc(e),n=t.slice();s.forEach((function(e){return n[e]=a.shape[e]-1-n[e]})),u.set.apply(u,[l.get.apply(l,n)].concat(t))},p=0;p<u.size;p++)c(p);return n.makeTensorInfo(u.shape,u.dtype,u.values)}},iK={kernelName:Fx,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,l=eg(a.dtype,Hv(a.shape)),c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=HA(s,h,f),v=m[0],g=m[1],y=Math.sin(i),b=Math.cos(i),x=u.data.get(a.dataId).values,w=0;w<p;w++)for(var k=w*f*h*d,N=0;N<h;N++)for(var I=N*(f*d),S=0;S<f;S++)for(var T=S*d,E=0;E<d;E++){var C=[p,N,S,E],R=C[2],A=C[1],_=(R-v)*b-(A-g)*y,F=(R-v)*y+(A-g)*b;_=Math.round(_+v),F=Math.round(F+g);var D=o;if("number"!=typeof o&&(D=3===E?255:o[E]),_>=0&&_<f&&F>=0&&F<h)D=x[k+F*(f*d)+_*d+E];l[k+I+T+E]=D}return{dataId:u.write(l,a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}},oK=wV(qb,(function(e){var t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2==0?t:t+1})),sK={kernelName:qb,backendName:"cpu",kernelFunc:oK};function uK(e,t,n,r,a,i,o,s,u,l){var c=[r/a,a],p=e.values,h=t.values;if(0===r)return _N(n,t.dtype);var f=_N(c,t.dtype);f.values.fill(u);for(var d=0;d<i;d++){for(var m=[],v=0,g=0;g<o;g++){var y=p[d*o+g];m.push(y),v+=y*s[g]}if(v<0||v>=r/a)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<a;b++)l?f.values[v*a+b]+=h[d*a+b]:f.values[v*a+b]=0===t.rank?h[0]:h[d*a+b]}return f}var lK={kernelName:Xb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=bI(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,f=uK(n.bufferSync(a),n.bufferSync(i),o,h,c,l,u,p,0,!0);return n.makeTensorInfo(o,f.dtype,f.values)}};var cK={kernelName:Yb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e;ZU([r,a,i],"select");for(var o=r.shape.length,s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,c=tk(a.dtype,i.dtype),p=yg(Hv(a.shape),c),h=0,f=0===o||o>1||1===a.shape.length?1:Hv(a.shape.slice(1)),d=0;d<s.length;d++)for(var m=0;m<f;m++)1===s[d]?p[h++]=u[d]:p[h++]=l[d];return n.makeTensorInfo(a.shape,c,p)}},pK=wV(Jb,(function(e){return e>=0?1.0507009873554805*e:1.7580993408473768*(Math.exp(e)-1)})),hK={kernelName:Jb,backendName:"cpu",kernelFunc:pK},fK=wV(ex,(function(e){return e<0?-1:e>0?1:0})),dK={kernelName:ex,backendName:"cpu",kernelFunc:fK},mK=wV(Qb,(function(e){return Math.sin(e)})),vK={kernelName:Qb,backendName:"cpu",kernelFunc:mK},gK=wV($b,(function(e){return Math.sinh(e)})),yK={kernelName:$b,backendName:"cpu",kernelFunc:gK},bK=Math.log(1.1920928955078125e-7)+2,xK=wV(nx,(function(e){var t=e>-bK,n=e<bK,r=Math.exp(e);return n?r:t?e:Math.log(1+r)})),wK={kernelName:nx,backendName:"cpu",kernelFunc:xK};var kK={kernelName:ix,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.paddings;ZU([a],"spaceToBatchND");var s=Hv(i),u=[[0,0]];u.push.apply(u,o);for(var l=1+i.length;l<a.shape.length;++l)u.push([0,0]);var c=Kq.kernelFunc({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),p=qA(c.shape,i,s,!1),h=KA(p.length,i.length,!1),f=XA(c.shape,i,s,!1),d=vj({inputs:{x:c},backend:n,attrs:{shape:p}}),m=xG({inputs:{x:d},backend:n,attrs:{perm:h}}),v=vj({inputs:{x:m},backend:n,attrs:{shape:f}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}};var NK={kernelName:ux,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.indices,a=t.values,i=t.denseShape,o=t.defaultValue;if(1!==i.shape.length)throw new Error("Dense shape must be a vector, saw:\n        "+i.shape);if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n        "+r.shape);if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n        "+a.shape);if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        "+o.shape);var s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,c=n.data.get(o.dataId).values[0],p=OG(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var IK={kernelName:lx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.inputIndices,a=t.inputShape,i=t.newShape;if(2!==r.shape.length)throw new Error("Input indices should be a matrix but received shape\n        "+r.shape);if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape\n        "+a.shape);if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape "+i.shape);var o=Array.from(n.data.get(a.dataId).values),s=n.data.get(r.dataId).values,u=Array.from(n.data.get(i.dataId).values),l=MG(s,r.shape,r.dtype,o,u),c=l[0],p=l[1],h=l[2];return[n.makeTensorInfo(p,r.dtype,c),n.makeTensorInfo([h.length],i.dtype,new Int32Array(h))]}};var SK={kernelName:cx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n          "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n          "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=LG(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var TK={kernelName:px,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n         "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n         "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=LG(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var EK={kernelName:hx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sparseIndices,i=t.sparseValues,o=t.defaultValue,s=r.outputShape,u=bI(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.sliceSize,h=u.strides,f=u.outputSize,d=uK(n.bufferSync(a),n.bufferSync(i),s,f,p,c,l,h,n.data.get(o.dataId).values[0],!1);return n.makeTensorInfo(s,d.dtype,d.values)}};var CK={kernelName:ox,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=Qv(r.axis,a.shape)[0],s=w_(a,i,o),u=new Array(a.shape.length).fill(0),l=a.shape.slice();return s.map((function(e){var t=[].concat(l);t[o]=e;var r=FG({inputs:{x:a},backend:n,attrs:{begin:u,size:t}});return u[o]+=e,r}))}},RK={kernelName:dx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n;ZU(r,"square");for(var i=a.data.get(r.dataId).values,o=new Float32Array(i.length),s=0;s<i.length;++s){var u=i[s];o[s]=u*u}return{dataId:a.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},AK=wV(Ax,(function(e,t){var n=t;return isNaN(e)?NaN:e>0?1:n.alpha})),_K={kernelName:Ax,backendName:"cpu",kernelFunc:AK};var FK={kernelName:mx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.end,s=r.strides,u=r.beginMask,l=r.endMask,c=r.ellipsisMask,p=r.newAxisMask,h=r.shrinkAxisMask;ZU(a,"stridedSlice");var f,d=OI(a.shape,i,o,s,u,l,c,p,h),m=d.finalShapeSparse,v=d.finalShape,g=d.isIdentity,y=d.sliceDim0,b=d.isSimpleSlice,x=d.begin,w=d.end,k=d.strides;if(g)f=vj({inputs:{x:a},backend:n,attrs:{shape:v}});else if(y||b){Uv(a.shape.length>=1,(function(){return"Input must have rank at least 1, got: "+a.shape.length}));var N=kI(x,w,k),I=FG({inputs:{x:a},backend:n,attrs:{begin:x,size:N}});f=vj({inputs:{x:I},backend:n,attrs:{shape:v}}),n.disposeIntermediateTensorInfo(I)}else{var S=GG(m,n.bufferSync(a),k,x);f=n.makeTensorInfo(v,S.dtype,S.values)}return f}};var DK={kernelName:vx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,l=r.preserveShortSequences,c=t.data,p=t.dataSplits,h=HG(n.data.get(c.dataId).values,n.data.get(p.dataId).values,a,i,o,s,u,l),f=h[0],d=h[1];return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(p.shape,"int32",d)]}};var OK={kernelName:gx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.skipEmpty,a=t.input,i=t.delimiter;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(1!==a.shape.length)throw new Error("Input must be a vector, got shape: "+a.shape);if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: "+i.shape);var o=KG(n.data.get(a.dataId).values,n.data.get(i.dataId).values[0],r),s=o[0],u=o[1],l=o[2],c=u.length;return[n.makeTensorInfo([c,2],"int32",s),n.makeTensorInfo([c],"string",u),n.makeTensorInfo([2],"int32",new Int32Array(l))]}};var MK={kernelName:yx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.numBuckets,a=t.input;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");var i=XG(n.data.get(a.dataId).values,r);return n.makeTensorInfo(a.shape,"int32",i)}},LK=wV(xx,(function(e){return Math.tan(e)})),zK={kernelName:xx,backendName:"cpu",kernelFunc:LK},PK=wV(wx,(function(e){return Math.tanh(e)}));function BK(e,t,n){switch(n){case"reflect":return function(e,t){var n=e;if(n<0)if(t<=1)n=0;else{var r=2*t;n<r&&(n=r*Math.trunc(-n/r)+n),n=n<-t?n+r:-n-1}else if(n>t-1)if(t<=1)n=0;else{var a=2*t;(n-=a*Math.trunc(n/a))>=t&&(n=a-n-1)}return zv(0,n,t-1)}(e,t);case"wrap":return function(e,t){var n=e;if(n<0)if(t<=1)n=0;else{var r=t-1;n+=t*(Math.trunc(-n/r)+1)}else if(n>t-1)if(t<=1)n=0;else{var a=t-1;n-=t*Math.trunc(n/a)}return zv(0,n,t-1)}(e,t);case"nearest":return function(e,t){return zv(0,e,t-1)}(e,t);case"constant":default:return function(e,t){return e}(e)}}function WK(e,t,n,r,a,i,o,s,u,l,c){return 0<=s&&s<t&&0<=u&&u<n?e[o*r+s*a+u*i+l]:c}function UK(e,t,n,r,a,i,o,s,u,l,c){return WK(e,t,n,r,a,i,o,Math.round(s),Math.round(u),l,c)}function VK(e,t,n,r,a,i,o,s,u,l,c){var p=Math.floor(s),h=Math.floor(u),f=p+1,d=h+1;return(f-s)*((d-u)*WK(e,t,n,r,a,i,o,p,h,l,c)+(u-h)*WK(e,t,n,r,a,i,o,p,d,l,c))+(s-p)*((d-u)*WK(e,t,n,r,a,i,o,f,h,l,c)+(u-h)*WK(e,t,n,r,a,i,o,f,d,l,c))}for(var GK=0,jK=[xj,tV,kj,Ij,gV,Sj,Tj,Ej,Cj,Rj,_j,Dj,Mj,Pj,Wj,jj,Hj,qj,Kj,bj,Xj,Yj,Jj,Zj,pV,SV,$j,aV,eH,aH,oH,sH,uH,lH,cH,pH,fH,mH,vH,gH,yH,bH,wH,kH,NH,IH,SH,TH,EH,AH,ij,_H,RV,DH,FV,MH,MV,VH,jH,HH,PV,XH,YH,JH,ZH,QH,GV,qV,sV,$H,nH,tq,rq,iq,sj,YV,QV,oq,nG,uq,pq,fq,vq,gq,yq,xq,oG,wq,kq,Nq,Iq,Sq,Tq,Eq,lG,Cq,_q,Oq,fG,mG,Lq,Pq,Wq,yG,Uq,jq,qq,Kq,Jq,cj,NG,Zq,lV,PH,$q,hj,dj,gj,eK,tK,nK,rK,aK,iK,sK,EG,lK,cK,hK,AG,dK,vK,yK,DG,Dq,wK,kK,NK,IK,SK,TK,EK,CK,BG,RK,VG,_K,FK,DK,OK,MK,QG,RH,zK,{kernelName:wx,backendName:"cpu",kernelFunc:PK},{kernelName:kx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reps;ZU(a,"tile");var o=$G(n.bufferSync(a),i);return n.makeTensorInfo(o.shape,o.dtype,o.values)}},{kernelName:Nx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted;ZU(a,"topk");var s=nj(n.data.get(a.dataId).values,a.shape,a.dtype,i,o),u=s[0],l=s[1];return[n.makeTensorInfo(u.shape,u.dtype,u.values),n.makeTensorInfo(l.shape,l.dtype,l.values)]}},{kernelName:Ix,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=t.transforms,o=n.interpolation,s=n.fillMode,u=n.fillValue,l=n.outputShape,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=null!=l?l:[h,f],v=m[0],g=m[1],y=[p,v,g,d],b=dg(a.shape),x=b[0],w=b[1],k=b[2],N=eg(a.dtype,Hv(y));N.fill(u);for(var I=r.data.get(a.dataId).values,S=r.data.get(i.dataId).values,T=0;T<p;++T){for(var E=1===i.shape[0]?S:S.subarray(8*T,8*T+8),C=0;C<v;++C)for(var R=0;R<g;++R)for(var A=0;A<d;++A){var _=void 0,F=E[6]*R+E[7]*C+1;if(0!==F){var D=(E[0]*R+E[1]*C+E[2])/F,O=(E[3]*R+E[4]*C+E[5])/F,M=BK(D,f,s),L=BK(O,h,s);switch(o){case"nearest":_=UK(I,h,f,x,w,k,T,L,M,A,u);break;case"bilinear":_=VK(I,h,f,x,w,k,T,L,M,A,u);break;default:throw new Error("Error in Transform: Expect 'nearest' or 'bilinear', but got "+o)}N[T*x+C*w+R*k+A]=_}}return r.makeTensorInfo(y,a.dtype,N)}return{dataId:r.write(N,y,a.dtype),shape:a.shape,dtype:a.dtype}}},wG,{kernelName:Tx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;ZU(i,"unique");var o=rj(r.data.get(i.dataId).values,a,i.shape,i.dtype),s=o.outputValues,u=o.outputShape,l=o.indices;return[r.makeTensorInfo(u,i.dtype,s),r.makeTensorInfo([l.length],"int32",l)]}},{kernelName:Ex,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a.shape.length,s=a.shape[i],u=new Array(o-1),l=0,c=0;c<o;c++)c!==i&&(u[l++]=a.shape[c]);var p=new Array(o).fill(0),h=a.shape.slice();h[i]=1;for(var f=new Array(s),d=0;d<f.length;d++){p[i]=d;var m=FG({inputs:{x:a},backend:n,attrs:{begin:p,size:h}});f[d]=vj({inputs:{x:m},backend:n,attrs:{shape:u}}),n.disposeIntermediateTensorInfo(m)}return f}},{kernelName:Cx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.segmentIds,o=r.numSegments;ZU(a,"unsortedSegmentSum");for(var s=[],u=[],l=a.shape.length-i.shape.length,c=i,p=0;p<l;++p){var h=OH({inputs:{input:c},backend:n,attrs:{dim:p+1}});c=h,u.push(h)}for(var f=0;f<o;++f){var d=Rw(f,"int32"),m=n.makeTensorInfo([],"int32",d),v=CV({inputs:{a:m,b:c},backend:n}),g=cV({inputs:{x:v},backend:n,attrs:{dtype:"float32"}}),y=hG({inputs:{a:g,b:a},backend:n}),b=CH({inputs:{x:y},backend:n,attrs:{axis:0,keepDims:!1}});s.push(b),u.push(m),u.push(v),u.push(g),u.push(y),u.push(b)}var x=Hq({inputs:s,backend:n,attrs:{axis:0}});return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}},Gq];GK<jK.length;GK++){Vx(jK[GK])}var HK,qK,KK,XK={},YK={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function JK(e,t){if(!(e in XK)||null!=t){var n=function(e,t){if(1!==e&&2!==e)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var n=null==t?function(e){if("undefined"!=typeof OffscreenCanvas&&2===e)return new OffscreenCanvas(300,150);if("undefined"!=typeof document)return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}(e):t;if(n.addEventListener("webglcontextlost",(function(t){t.preventDefault(),delete XK[e]}),!1),1===e)return n.getContext("webgl",YK)||n.getContext("experimental-webgl",YK);return n.getContext("webgl2",YK)}(e,t);if(null===n)return console.log("Could not get context for WebGL version",e),null;XK[e]=n}var r=XK[e];return null==r||r.isContextLost()?(delete XK[e],JK(e)):(r.disable(r.DEPTH_TEST),r.disable(r.STENCIL_TEST),r.disable(r.BLEND),r.disable(r.DITHER),r.disable(r.POLYGON_OFFSET_FILL),r.disable(r.SAMPLE_COVERAGE),r.enable(r.SCISSOR_TEST),r.enable(r.CULL_FACE),r.cullFace(r.BACK),XK[e])}function ZK(e,t){return[t,e]}function QK(e){var t=Hv(e);return Xv(Math.ceil(t/4))}function $K(e,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(e/2))]}function eX(e,t){var n,r,a,i,o,s,u,l,c,p,h=e;return 2===Rg().getNumber("WEBGL_VERSION")?(n=h.R32F,r=h.R16F,a=h.RGBA16F,i=h.RGBA32F,o=h.RED,u=4,l=1,c=h.HALF_FLOAT,p=h.FLOAT,s=h.RGBA8):(n=e.RGBA,r=e.RGBA,a=e.RGBA,i=h.RGBA,o=e.RGBA,u=4,l=4,c=null!=t?t.HALF_FLOAT_OES:null,p=e.FLOAT,s=e.RGBA),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:a,internalFormatPackedFloat:i,textureFormatFloat:o,downloadTextureFormat:s,downloadUnpackNumChannels:u,defaultNumChannels:l,textureTypeHalfFloat:c,textureTypeFloat:p}}function tX(e,t){var n=t();return Rg().getBool("DEBUG")&&function(e){var t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+function(e,t){switch(t){case e.NO_ERROR:return"NO_ERROR";case e.INVALID_ENUM:return"INVALID_ENUM";case e.INVALID_VALUE:return"INVALID_VALUE";case e.INVALID_OPERATION:return"INVALID_OPERATION";case e.INVALID_FRAMEBUFFER_OPERATION:return"INVALID_FRAMEBUFFER_OPERATION";case e.OUT_OF_MEMORY:return"OUT_OF_MEMORY";case e.CONTEXT_LOST_WEBGL:return"CONTEXT_LOST_WEBGL";default:return"Unknown error code "+t}}(e,t))}(e),n}!function(e){e[e.DENSE=0]="DENSE",e[e.SHARED_BATCH=1]="SHARED_BATCH"}(HK||(HK={})),function(e){e[e.RENDER=0]="RENDER",e[e.UPLOAD=1]="UPLOAD",e[e.PIXELS=2]="PIXELS",e[e.DOWNLOAD=3]="DOWNLOAD"}(qK||(qK={})),function(e){e[e.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",e[e.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",e[e.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",e[e.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",e[e.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"}(KK||(KK={}));function nX(e){return!!(Rg().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||0===e||5.96e-8<Math.abs(e)&&Math.abs(e)<65504)}function rX(e,t){return dX(e,(function(){return e.getExtension(t)}),'Extension "'+t+'" not supported on this browser.')}function aX(e,t){var n=dX(e,(function(){return e.createShader(e.FRAGMENT_SHADER)}),"Unable to create fragment WebGLShader.");if(tX(e,(function(){return e.shaderSource(n,t)})),tX(e,(function(){return e.compileShader(n)})),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw function(e,t){var n=sX.exec(t);if(null==n)return console.log("Couldn't parse line number in error: "+t),void console.log(e);for(var r=+n[1],a=e.split("\n"),i=a.length.toString().length+2,o=a.map((function(e,t){return Yv((t+1).toString(),i)+e})),s=0,u=0;u<o.length;u++)s=Math.max(o[u].length,s);var l=o.slice(0,r-1),c=o.slice(r-1,r),p=o.slice(r);console.log(l.join("\n")),console.log(t.split("\n")[0]),console.log("%c "+Yv(c[0],s),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join("\n"))}(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var iX,oX,sX=/ERROR: [0-9]+:([0-9]+):/g;function uX(e,t){if(tX(e,(function(){return e.validateProgram(t)})),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function lX(e,t,n,r,a,i,o){var s=e.getAttribLocation(t,n);return-1!==s&&(tX(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,r)})),tX(e,(function(){return e.vertexAttribPointer(s,a,e.FLOAT,!1,i,o)})),tX(e,(function(){return e.enableVertexAttribArray(s)})),!0)}function cX(e,t,n,r){tX(e,(function(){return function(e,t,n){mX(e,n),tX(e,(function(){return e.activeTexture(e.TEXTURE0+n)})),tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)}))}(e,t,r)})),tX(e,(function(){return e.uniform1i(n,r)}))}function pX(e,t,n){tX(e,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,n)})),tX(e,(function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)}))}function hX(e,t){tX(e,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)})),tX(e,(function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)}))}function fX(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+function(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return"unknown error "+t}}(e,t))}function dX(e,t,n){var r=tX(e,(function(){return t()}));if(null==r)throw new Error(n);return r}function mX(e,t){var n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n)throw new Error("textureUnit must be in "+("[gl.TEXTURE0, gl.TEXTURE"+n+"]")+".")}function vX(e,t){return void 0===t&&(t=2),Hv(e.slice(0,e.length-t))}function gX(e){if(0===e.length)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function yX(e){var t=[1,1,1];return 0===e.length||1===e.length&&1===e[0]||(t=[vX(e)].concat(gX(e))),t}function bX(e){return e%2==0}function xX(e,t){if(qv(e=e.slice(-2),t=t.slice(-2)))return!0;if(!e.length||!t.length)return!0;if(0===e[0]||0===e[1]||0===t[0]||0===t[1])return!0;if(e.length!==t.length){var n=e.slice(-1)[0],r=t.slice(-1)[0];if(n===r)return!0;if(bX(n)&&bX(r)&&(1===e[0]||1===t[0]))return!0}return e[1]===t[1]&&bX(e[0])&&bX(t[0])}function wX(e,t){return null!=e.getExtension(t)}function kX(e){try{if(null!=JK(e))return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function NX(e){if(0===e)return!1;var t=JK(e);if(1!==e){if(wX(t,"EXT_color_buffer_float"))return IX(t);var n="EXT_color_buffer_half_float";if(wX(t,n)){var r=t.getExtension(n);return function(e,t){var n=eX(e,t),r=e.createTexture();e.bindTexture(e.TEXTURE_2D,r);var a=1,i=1;e.texImage2D(e.TEXTURE_2D,0,n.internalFormatHalfFloat,a,i,0,n.textureFormatFloat,n.textureTypeHalfFloat,null);var o=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,o),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,r,0);var s=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(r),e.deleteFramebuffer(o),s}(t,r)}return!1}return!!wX(t,"OES_texture_float")&&(!!wX(t,"WEBGL_color_buffer_float")&&IX(t))}function IX(e){var t=eX(e),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);e.texImage2D(e.TEXTURE_2D,0,t.internalFormatFloat,1,1,0,t.textureFormatFloat,t.textureTypeFloat,null);var r=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,r),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);var a=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(r),a}function SX(e,t){Array.isArray(e)||(e=[e]),e.forEach((function(e){null!=e&&Uv("complex64"!==e.dtype,(function(){return t+" does not support complex64 tensors in the WebGL backend."}))}))}var TX=Rg();function EX(){var e,t,n,r,a,i,o,s,u,l;return 2===Rg().getNumber("WEBGL_VERSION")?(e="#version 300 es",t="in",n="out",r="in",a="texture",i="outputColor",o="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        uint floatToUint = floatBitsToUint(val);\n        return (floatToUint & 0x7fffffffu) > 0x7f800000u;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",l="\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    "):(e="",t="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\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:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:l}}function CX(e,t,n){void 0===n&&(n="index");var r=dg(t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / "+t+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+t:"index -= "+e[a]+" * "+t)+";"})).join("")}function RX(e,t,n){void 0===n&&(n="index");var r=dg(t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / outShapeStrides["+a+"]"+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * outShapeStrides["+a+"]":"index -= "+e[a]+" * outShapeStrides["+a+"]")+";"})).join("")}function AX(e,t,n){void 0===n&&(n="index");var r=function(e,t){var n=e.length,r=e.map((function(e){return t+"["+e+"]"})),a=new Array(n-1);a[n-2]=r[n-1];for(var i=n-3;i>=0;--i)a[i]="("+a[i+1]+" * "+r[i+1]+")";return a}(e.map((function(e,t){return t})),t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / "+r[a]+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+r[a]:"index -= "+e[a]+" * "+r[a])+";"})).join("")}function _X(e){var t=dg(e).map((function(e){return e.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+t[0]+" + coords.y * "+t[1]+" + coords.z;\n  }\n"}TX.registerFlag("HAS_WEBGL",(function(){return TX.getNumber("WEBGL_VERSION")>0})),TX.registerFlag("WEBGL_VERSION",(function(){return kX(2)?2:kX(1)?1:0})),TX.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",(function(){return!1})),TX.registerFlag("WEBGL_BUFFER_SUPPORTED",(function(){return 2===TX.get("WEBGL_VERSION")})),TX.registerFlag("WEBGL_CPU_FORWARD",(function(){return!0})),TX.registerFlag("WEBGL_FORCE_F16_TEXTURES",(function(){return!1})),TX.registerFlag("WEBGL_PACK",(function(){return TX.getBool("HAS_WEBGL")})),TX.registerFlag("WEBGL_PACK_NORMALIZATION",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_CLIP",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_DEPTHWISECONV",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_PACK_REDUCE",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_LAZILY_UNPACK",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_CONV_IM2COL",(function(){return TX.getBool("WEBGL_PACK")})),TX.registerFlag("WEBGL_MAX_TEXTURE_SIZE",(function(){return function(e){if(null==iX){var t=JK(e);iX=t.getParameter(t.MAX_TEXTURE_SIZE)}return iX}(TX.getNumber("WEBGL_VERSION"))})),TX.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",(function(){return function(e){if(null==oX){var t=JK(e);oX=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,oX)}(TX.getNumber("WEBGL_VERSION"))})),TX.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",(function(){var e=TX.getNumber("WEBGL_VERSION");return 0===e?0:function(e){if(0===e)return 0;var t=JK(e);return wX(t,"EXT_disjoint_timer_query_webgl2")&&2===e?2:wX(t,"EXT_disjoint_timer_query")?1:0}(e)})),TX.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",(function(){return TX.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!vk()})),TX.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",(function(){return function(e){if(0===e)return!1;var t=JK(e);if(1===e){if(!wX(t,"OES_texture_float"))return!1}else if(!wX(t,"EXT_color_buffer_float"))return!1;return IX(t)}(TX.getNumber("WEBGL_VERSION"))})),TX.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",(function(){return!TX.getBool("WEBGL_FORCE_F16_TEXTURES")&&TX.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")})),TX.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",(function(){return NX(TX.getNumber("WEBGL_VERSION"))})),TX.registerFlag("WEBGL_FENCE_API_ENABLED",(function(){return 2===(e=TX.getNumber("WEBGL_VERSION"))&&null!=JK(e).fenceSync;var e})),TX.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",(function(){return TX.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0})),TX.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",(function(){return-1}),(function(e){if(e<0&&-1!==e)throw new Error("WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got "+e+".")})),TX.registerFlag("WEBGL_FLUSH_THRESHOLD",(function(){return vk()?1:-1}),(function(e){if(e<0&&-1!==e)throw new Error("WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got "+e+".")})),TX.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 128})),TX.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",(function(){return!1})),TX.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 1e5})),TX.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",(function(){return 128}));var FX="\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",DX=rI;function OX(e,t,n){var r=[];if(e.forEach((function(e){var t=Hv(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform?r.push("uniform float "+e.name+(t>1?"["+t+"]":"")+";"):(r.push("uniform sampler2D "+e.name+";"),r.push("uniform int offset"+e.name+";")),n.enableShapeUniforms){switch(jX(n.packedInputs,e.shapeInfo.logicalShape,e.shapeInfo.texShape).uniformShape.length){case 1:r.push("uniform int "+e.name+"Shape;");break;case 2:r.push("uniform ivec2 "+e.name+"Shape;");break;case 3:r.push("uniform ivec3 "+e.name+"Shape;");break;case 4:r.push("uniform ivec4 "+e.name+"Shape;")}r.push("uniform ivec2 "+e.name+"TexShape;")}})),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:r.push("uniform int outShape;");break;case 2:r.push("uniform ivec2 outShape;"),r.push("uniform int outShapeStrides;");break;case 3:r.push("uniform ivec3 outShape;"),r.push("uniform ivec2 outShapeStrides;");break;case 4:r.push("uniform ivec4 outShape;"),r.push("uniform ivec3 outShapeStrides;")}r.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach((function(e){r.push("uniform "+e.type+" "+e.name+(e.arrayIndex?"["+e.arrayIndex+"]":"")+";")}));var a,i,o=r.join("\n"),s=e.map((function(e){return function(e,t,n,r){void 0===n&&(n=!1);var a="";a+=n?LX(e,r):MX(e,r);var i=e.shapeInfo.logicalShape,o=t.logicalShape;i.length<=o.length&&(a+=n?function(e,t){var n,r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=e.shapeInfo.logicalShape.length,s=t.logicalShape.length,u=DX(e.shapeInfo.logicalShape,t.logicalShape),l=GX(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map((function(e){return"coords."+p[e+c]+" = 0;"})).join("\n");var h="";h=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+c]})).join(", ");var f="return outputValue;",d=1===Hv(e.shapeInfo.logicalShape),m=1===Hv(t.logicalShape);if(1!==o||d||m){if(d&&!m)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var v=o-2,g=o-1;u.indexOf(v)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(v)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+a+"("+h+");\n      "+f+"\n    }\n  "}(e,t):function(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&qv(o,i))return"\n      float "+a+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l,c=GX(u),p=DX(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,f=["x","y","z","w","u","v"];l=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+f[e+h]+" = 0;"})).join("\n");var d="";d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+f[t+h]})).join(", ");return"\n    float "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+l+"\n      return get"+r+"("+d+");\n    }\n  "}(e,t));return a}(e,t,n.packedInputs,n.enableShapeUniforms)})).join("\n"),u=t.texShape,l=EX(),c=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+e.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),p=function(e){return e.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+e.varyingFs+" vec2 resultUV;\n    "+e.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+e.defineSpecialNaN+"\n    "+e.defineSpecialInf+"\n    "+e.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+zX+"\n    "+PX+"\n    "+BX+"\n  "}(l);return t.isPacked?(a=function(e,t,n){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t,n){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(1===r[0])return n?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n      }\n    ":"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+r[1]+".0);\n      }\n    ";if(1===r[1])return n?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n      }\n    ":"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+r[0]+".0);\n      }\n    ";if(n)return"\n    int getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      return 2 * (resTexRC.x * "+r[1]+" + resTexRC.y);\n    }\n  "}(0,t,n);case 2:return function(e,t,n){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(qv(e,t))return n?"\n      ivec2 getOutputCoords() {\n        ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n        return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+r[0]+", "+r[1]+"));\n      }\n    ";var a=Math.ceil(e[1]/2);if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t,n);case 3:return function(e,t,n){if(n)return"\n    ivec3 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  "}(e,t,n);default:return function(e,t,n){if(n)return"\n    ivec4 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatchN = texelsInBatch * outShape[1];\n\n      int b2 = index / texelsInBatchN;\n      index -= b2 * texelsInBatchN;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  ";for(var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),i=a*Math.ceil(e[e.length-2]/2),o=i,s="",u="b, r, c",l=2;l<e.length-1;l++)s="\n      int b"+l+" = index / "+(o*=e[e.length-l-1])+";\n      index -= b"+l+" * "+o+";\n    "+s,u="b"+l+", "+u;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      "+s+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec"+e.length+"("+u+");\n    }\n  "}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(l)):(a=function(e,t,n){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t,n){if(1===t[0])return n?"\n      int getOutputCoords() {\n        return int(resultUV.x * float(outTexShape[1]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ";if(1===t[1])return n?"\n      int getOutputCoords() {\n        return int(resultUV.y * float(outTexShape[0]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ";if(n)return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      return resTexRC.x * outTexShape[1] + resTexRC.y;\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t,n);case 2:return function(e,t,n){if(qv(e,t))return n?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ";if(1===e[1])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===e[0])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      int r = index / outShape[1];\n      int c = index - r * outShape[1];\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t,n);case 3:return function(e,t,n){if(n){return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    "+RX(["r","c","d"],e)+"\n    return ivec3(r, c, d);\n  }\n"}var r=CX(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  "}(e,t,n);case 4:return function(e,t,n){if(n){return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      "+RX(["r","c","d","d2"],e)+"\n      return ivec4(r, c, d, d2);\n    }\n  "}var r=CX(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+r+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t,n);case 5:return r=t,a=CX(["r","c","d","d2","d3"],e),"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+r[0]+",\n                             "+r[1]+"));\n\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      "+a+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ";case 6:return function(e,t){var n=CX(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var r,a}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),n.packedInputs&&(p+=WX),[p,c,i,o,a,s,n.userCode].join("\n")}function MX(e,t){void 0===t&&(t=!1);var n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float "+r+"() {return "+n+";}";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===i&&1===o)return"\n      float "+r+"() {\n        return sampleTexture("+n+", halfCR);\n      }\n    ";var s=UX(n);if(t)return"\n    float "+r+"() {\n      vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  ";var u=e.shapeInfo.texShape,l=u[0],c=u[1];return"\n    float "+r+"() {\n      vec2 uv = uvFromFlat("+l+", "+c+", "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e,t);case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n      float "+r+"(int index) {\n        "+VX(e)+"\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n      float "+r+"(int index) {\n        return sampleTexture("+n+", halfCR);\n      }\n    ";var s=UX(n);if(1===o)return t?"\n      float "+r+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / float("+n+"TexShape[0]));\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n      float "+r+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / "+i+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(1===i)return t?"\n      float "+r+"(int index) {\n        vec2 uv = vec2((float(index + "+s+") + 0.5) / float("+n+"TexShape[1]), 0.5);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n      float "+r+"(int index) {\n        vec2 uv = vec2((float(index + "+s+") + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(t)return"\n    float "+r+"(int index) {\n      vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], index + "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n    float "+r+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+o+", index + "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&qv(n,i)){if(t)return"\n      float "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ";var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=$v(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col"];return"\n      "+MX(HX(e,c),t)+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+qX(p,l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+VX(e)+"\n      }\n    ";var h=i[0],f=i[1],d=UX(r);if(1===f)return t?"\n      float "+a+"(int row, int col) {\n        float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n        vec2 uv = vec2(0.5, (index + 0.5) / float("+r+"TexShape[0]));\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";if(1===h)return t?"\n      float "+a+"(int row, int col) {\n        float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n        vec2 uv = vec2((index + 0.5) / float("+r+"TexShape[1]), 0.5);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ";if(t)return"\n      float "+a+"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+r+"Shape[1] + col + "+d+";\n        vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n        return sampleTexture("+r+", uv);\n      }\n    ";return"\n  float "+a+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+d+";\n    vec2 uv = uvFromFlat("+h+", "+f+", index);\n    return sampleTexture("+r+", uv);\n  }\n"}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=$v(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col","depth"];return"\n        "+MX(HX(e,c),t)+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+qX(p,l)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1)));\n        "+VX(e)+"\n      }\n    ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===i&&null==m)return t?"\n      float "+a+"(int row, int col, int depth) {\n        int stride1 = "+r+"Shape[2];\n        float texR = float(row);\n        float texC = dot(vec2(col, depth), vec2(stride1, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n        float "+a+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(d===o&&null==m)return t?"\n      float "+a+"(int row, int col, int depth) {\n        float texR = dot(vec2(row, col), vec2("+r+"Shape[1], 1));\n        float texC = float(depth);\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var v=UX(r);if(t)return"\n    float "+a+"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = "+r+"Shape[1] * "+r+"Shape[2];\n      int stride1 = "+r+"Shape[2];\n      int index = row * "+i+" + col * "+o+" + depth + "+v+";\n      vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n      return sampleTexture("+r+", uv);\n    }\n    ";return"\n      float "+a+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+o+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+r+", uv);\n      }\n  "}(e,t);case 4:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=$v(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=["row","col","depth","depth2"];return"\n      "+MX(HX(e,l),t)+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+qX(p,c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+i+", 1)));\n        "+VX(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1],v="int stride2 = "+r+"Shape[3];",g="int stride1 = "+r+"Shape[2] * stride2;",y="int stride0 = "+r+"Shape[1] * stride1;";if(m===s&&null==h)return t?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        "+v+"\n        "+g+"\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(stride1, stride2, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===i&&null==h)return t?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+r+"Shape[1] * "+r+"Shape[2], "+r+"Shape[2], 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var b=UX(r);if(t)return"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      "+v+"\n      "+g+"\n      "+y+"\n      int index = row * stride0 + col * stride1 +\n          depth * stride2 + depth2;\n      vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index + "+b+");\n      return sampleTexture("+r+", uv);\n    }\n  ";return"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+m+", index + "+b+");\n      return sampleTexture("+r+", uv);\n    }\n  "}(e,t);case 5:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=$v(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=["row","col","depth","depth2","depth3"];return"\n      "+MX(HX(e,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+qX(p,c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+i+", "+a+")) +\n          depth3;\n        "+VX(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=UX(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+i+" +\n          depth2 * "+a+" + depth3 + "+v+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=$v(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=["row","col","depth","depth2","depth3","depth4"];return"\n      "+MX(HX(e,i))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+qX(s,o)+");\n      }\n    "}var u=t[5],l=t[4]*u,c=t[3]*l,p=t[2]*c,h=t[1]*p;if(e.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("+h+", "+p+", "+c+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+VX(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],v=d[1];if(v===h&&null==f)return"\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("+p+", "+c+", "+l+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===u&&null==f)return"\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("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=UX(n);return"\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 * "+h+" + col * "+p+" + depth * "+c+" +\n          depth2 * "+l+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+m+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);default:throw new Error(n.length+"-D input sampling is not yet supported")}}function LX(e,t){var n,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=EX(),"\n    vec4 "+r+"() {\n      return "+a.texture2D+"("+n+", halfCR);\n    }\n  ";case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=EX();if(t)return"\n    vec4 "+r+"(int index) {\n      ivec2 packedTexShape = ivec2(ceil(float("+n+"TexShape[0]) / 2.0), ceil(float("+n+"TexShape[1]) / 2.0));\n      vec2 uv = packedUVfrom1D(\n        packedTexShape[0], packedTexShape[1], index);\n      return "+i.texture2D+"("+n+", uv);\n    }\n  ";var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 "+r+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+i.texture2D+"("+n+", uv);\n    }\n  "}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=i[0],s=i[1],u=EX();if(null!=i&&qv(n,i))return t?"\n      vec4 "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n\n        return "+u.texture2D+"("+r+", uv);\n      }\n    ":"\n      vec4 "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+s+".0, "+o+".0);\n\n        return "+u.texture2D+"("+r+", uv);\n      }\n    ";if(t)return"\n    vec4 "+a+"(int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float("+r+"TexShape[0]) / 2.0), ceil(float("+r+"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float("+r+"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);\n      return "+u.texture2D+"("+r+", uv);\n    }\n  ";var l=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],c=Math.ceil(n[1]/2);return"\n    vec4 "+a+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+l[0]+", "+l[1]+", row, col);\n      return "+u.texture2D+"("+r+", uv);\n    }\n  "}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0]){var s=[1,2],u=["b","row","col"];return"\n        "+LX(HX(e,n.slice(1)),t)+"\n        vec4 "+a+"(int b, int row, int col) {\n          return "+a+"("+qX(u,s)+");\n        }\n      "}var l=EX();if(t)return"\n    vec4 "+a+"(int b, int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float("+r+"TexShape[0]) / 2.0), ceil(float("+r+"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float("+r+"Shape[2]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float("+r+"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom3D(\n        packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n      return "+l.texture2D+"("+r+", uv);\n    }\n  ";var c=o[0],p=o[1],h=Math.ceil(n[2]/2),f=h*Math.ceil(n[1]/2);return"\n    vec4 "+a+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+c+", "+p+", "+f+", "+h+", b, row, col);\n      return "+l.texture2D+"("+r+", uv);\n    }\n  "}(e,t);default:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=EX();if(t)return"\n    vec4 "+r+"(int b2, int b, int row, int col) {\n      int valuesPerRow = int(ceil(float("+n+"Shape[3]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float("+n+"Shape[2]) / 2.0));\n      int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);\n      texelsInBatch *= "+n+"Shape[1];\n      index = b2 * texelsInBatch + index;\n      ivec2 packedTexShape = ivec2(ceil(float("+n+"TexShape[0]) / 2.0), ceil(float("+n+"TexShape[1]) / 2.0));\n      int texR = index / packedTexShape[1];\n      int texC = index - texR * packedTexShape[1];\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return "+a.texture2D+"("+n+", uv);\n    }\n  ";for(var i=e.shapeInfo.logicalShape,o=i.length,s=e.shapeInfo.texShape,u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],l=u[0],c=u[1],p=Math.ceil(i[o-1]/2),h=p*Math.ceil(i[o-2]/2),f="int b, int row, int col",d="b * "+h+" + (row / 2) * "+p+" + (col / 2)",m=2;m<o-1;m++)f="int b"+m+", "+f,d="b"+m+" * "+(h*=i[o-m-1])+" + "+d;return"\n    vec4 "+r+"("+f+") {\n      int index = "+d+";\n      int texR = index / "+c+";\n      int texC = index - texR * "+c+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+c+", "+l+");\n      return "+a.texture2D+"("+n+", uv);\n    }\n  "}(e,t)}}var zX="\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",PX="\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",BX="\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",WX="\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 UX(e){return"offset"+e}function VX(e){var t=e.name,n=Hv(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function GX(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function jX(e,t,n){var r=$v(t),a=r.newShape,i=r.keptDims,o=t.length,s=e&&3===o&&1===t[0],u=s?t.slice(1):a,l=!e&&o>1&&!qv(t,n)&&a.length<o||s;return{useSqueezeShape:l,uniformShape:l?u:t,keptDims:i}}function HX(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function qX(e,t){return t.map((function(t){return e[t]})).join(", ")}function KX(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!qv(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!qv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}function XX(e){return Rg().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var YX=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=HK.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=EX();this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+(this.enableShapeUniforms?RX(["r","c","d"],e):CX(["r","c","d"],e))+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+t.output+" = result;\n      }\n    "},JX=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=HK.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=EX();this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+(this.enableShapeUniforms?RX(["r","c","d"],e):CX(["r","c","d"],e))+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+t.output+" = result;\n      }\n    "},ZX=function(e){this.variableNames=["A"],this.outTexUsage=qK.DOWNLOAD;var t=EX();this.outputShape=e,this.userCode="\n      "+FX+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},QX=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=qK.DOWNLOAD;var t=EX();this.outputShape=e,this.userCode="\n      "+FX+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+t.output+" = encode_float(x);\n      }\n    "},$X=function(e,t){void 0===t&&(t=!1),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=EX();this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length);var r="result";t&&(r="floor(result * 255. + 0.5)"),this.userCode="\n      "+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":_X(e))+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n\n        int r = flatIndex / texShape[1];\n        int c = imod(flatIndex, texShape[1]);\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n        vec4 values = "+n.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+n.output+" = vec4("+r+", 0., 0., 0.);\n      }\n    "},eY=function(e,t){void 0===t&&(t=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=EX();this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length);var r="",a="result";t&&(a="floor(result * 255. + 0.5)");for(var i=0;i<=1;i++)for(var o=0;o<=1;o++){var s=2*i+o;r+="\n          localCoords = coords;\n          if(localCoords[2] + "+o+" < "+(this.enableShapeUniforms?"outShape[2]":""+e[2])+") {\n          localCoords[2] += "+o+";\n          if (localCoords[1] + "+i+" < "+(this.enableShapeUniforms?"outShape[1]":""+e[1])+") {\n            localCoords[1] += "+i+";\n\n            flatIndex = getFlatIndex(localCoords);\n            offset = imod(flatIndex, 4);\n\n            flatIndex = idiv(flatIndex, 4, 1.);\n\n            int r = flatIndex / texShape[1];\n            int c = imod(flatIndex, texShape[1]);\n            vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n            values = "+n.texture2D+"(A, uv);\n\n            if (offset == 0) {\n              result["+s+"] = values[0];\n            } else if (offset == 1) {\n              result["+s+"] = values[1];\n            } else if (offset == 2) {\n              result["+s+"] = values[2];\n            } else {\n              result["+s+"] = values[3];\n            }\n          }\n        }\n        "}this.userCode="\n        "+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":_X(e))+"\n\n        void main() {\n          ivec3 coords = getOutputCoords();\n\n          vec4 result = vec4(0.);\n          int flatIndex, r, c, offset;\n          ivec3 localCoords;\n          vec2 uv;\n          vec4 values;\n\n          "+r+"\n\n          "+n.output+" = "+a+";\n        }\n    "};function tY(e){var t=EX();return function(e,t){var n=dX(e,(function(){return e.createShader(e.VERTEX_SHADER)}),"Unable to create vertex WebGLShader.");if(tX(e,(function(){return e.shaderSource(n,t)})),tX(e,(function(){return e.compileShader(n)})),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}(e,t.version+"\n    precision highp float;\n    "+t.attribute+" vec3 clipSpacePos;\n    "+t.attribute+" vec2 uv;\n    "+t.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function nY(e){return function(e,t){var n=dX(e,(function(){return e.createBuffer()}),"Unable to create WebGLBuffer");return tX(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),tX(e,(function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)})),n}(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function rY(e){return function(e,t){var n=dX(e,(function(){return e.createBuffer()}),"Unable to create WebGLBuffer");return tX(e,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)})),tX(e,(function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)})),n}(e,new Uint16Array([0,1,2,2,1,3]))}function aY(e,t,n,r,a,i){!function(e,t){var n=Rg().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0)throw new Error("Requested texture size ["+e+"x"+t+"] is invalid.");if(e>n||t>n)throw new Error("Requested texture size ["+e+"x"+t+"] greater than WebGL maximum on this browser / GPU ["+n+"x"+n+"].")}(t,n);var o=function(e){return dX(e,(function(){return e.createTexture()}),"Unable to create WebGLTexture.")}(e),s=e.TEXTURE_2D;return tX(e,(function(){return e.bindTexture(s,o)})),tX(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),tX(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),tX(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),tX(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===Rg().getNumber("WEBGL_VERSION")?tX(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):tX(e,(function(){return e.texStorage2D(s,1,r,t,n)})),tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function iY(e){return e.internalFormatFloat}function oY(e){return e.internalFormatHalfFloat}function sY(e){return e.downloadTextureFormat}function uY(e){return e.internalFormatPackedFloat}function lY(e){return e.internalFormatPackedHalfFloat}function cY(e,t,n,r,a,i,o,s){var u=e,l=new Float32Array(function(e,t){var n=$K(e,t);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}var pY=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var t=Rg().getNumber("WEBGL_VERSION");null!=e?(this.gl=e,function(e,t){XK[e]=t}(t,e)):this.gl=JK(t);var n="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(1===Rg().getNumber("WEBGL_VERSION")){var a="OES_texture_half_float";if(this.textureFloatExtension=rX(this.gl,"OES_texture_float"),wX(this.gl,a))this.textureHalfFloatExtension=rX(this.gl,a);else if(Rg().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),wX(this.gl,r))this.colorBufferHalfFloatExtension=rX(this.gl,r);else if(Rg().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",wX(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!wX(this.gl,r))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(r)}this.vertexBuffer=nY(this.gl),this.indexBuffer=rY(this.gl),this.framebuffer=function(e){return dX(e,(function(){return e.createFramebuffer()}),"Unable to create WebGLFramebuffer.")}(this.gl),this.textureConfig=eX(this.gl,this.textureHalfFloatExtension)}var t=e.prototype;return t.dispose=function(){var e=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 t=this.gl;tX(t,(function(){return t.finish()})),tX(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),tX(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),tX(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),tX(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),tX(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},t.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=ZK(t,n);return aY(e,a[0],a[1],iY(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=ZK(t,n);return aY(e,a[0],a[1],oY(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=ZK(t,n);return aY(e,a[0],a[1],sY(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)},t.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),function(e,t,n){tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===Rg().getNumber("WEBGL_VERSION")?tX(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)})):tX(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):2===Rg().getNumber("WEBGL_VERSION")?tX(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)})):tX(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t)},t.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,i){var o,s,u;tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),2===Rg().getNumber("WEBGL_VERSION")?tX(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,e.RGBA,s,o)})):tX(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),tX(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t,n,r,this.textureConfig)},t.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=$K(t,n);return aY(e,a[0],a[1],lY(r),e.RGBA,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=$K(t,n);return aY(e,a[0],a[1],uY(r),e.RGBA,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(hX(this.gl,this.framebuffer),this.outputTexture=null),tX(this.gl,(function(){return t.gl.deleteTexture(e)}))},t.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n,r){var a=ZK(t,n),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return tX(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}(r.gl,t,n,r.textureConfig)}))},t.downloadPackedMatrixFromBuffer=function(e,t,n,r,a,i){return cY(this.gl,e,0,0,0,a,i,this.textureConfig)},t.downloadFloat32MatrixFromBuffer=function(e,t){return function(e,t,n){var r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}(this.gl,e,t)},t.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=function(e,t,n,r){var a=e.createBuffer();tX(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return tX(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),tX(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),tX(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},t.createFence=function(e){var t,n,r=this;if(Rg().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},t.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n){var r=new Float32Array(t*n*4);return tX(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}(r.gl,t,n)}))},t.createProgram=function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=tY(n));var r=function(e){return dX(e,(function(){return e.createProgram()}),"Unable to create WebGLProgram.")}(n);return tX(n,(function(){return n.attachShader(r,t.vertexShader)})),tX(n,(function(){return n.attachShader(r,e)})),function(e,t){if(tX(e,(function(){return e.linkProgram(t)})),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}(n,r),this.debug&&uX(n,r),this.vertexAttrsAreBound||(this.setProgram(r),this.vertexAttrsAreBound=function(e,t,n){return tX(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),lX(e,t,"clipSpacePos",n,3,20,0)&&lX(e,t,"uv",n,2,20,12)}(n,this.program,this.vertexBuffer)),r},t.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&tX(this.gl,(function(){return t.gl.deleteProgram(e)}))},t.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&uX(this.gl,this.program),tX(this.gl,(function(){return t.gl.useProgram(e)}))},t.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?function(e,t,n){return dX(e,(function(){return e.getUniformLocation(t,n)}),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),tX(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))},t.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},t.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),cX(this.gl,e,t,n)},t.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},t.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=$K(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},t.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},t.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.debugValidate=function(){null!=this.program&&uX(this.gl,this.program),fX(this.gl)},t.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&this.debugValidate(),tX(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},t.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),tX(this.gl,(function(){return e.gl.finish()}))},t.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=rX(this.gl,2===Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.beginQuery=function(){if(2===Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},t.endQuery=function(){if(2!==Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},t.waitForQueryAndGetTime=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,Jv((function(){return n.disposed||n.isQueryAvailable(t,Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},t.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},t.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},t.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||Jv((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),pX(this.gl,e,this.framebuffer),this.debug&&fX(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(pX(this.gl,this.outputTexture,this.framebuffer),this.debug&&fX(this.gl)):hX(this.gl,this.framebuffer)},t.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},t.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;pX(r,e,this.framebuffer),this.debug&&fX(r),this.outputTexture=e,tX(r,(function(){return r.viewport(0,0,t,n)})),tX(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),tX(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))},t.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},kv(e,[{key:"debug",get:function(){return Rg().getBool("DEBUG")}}]),e}();var hY=dV,fY=yV,dY=bV,mY=NV,vY=TV,gY=EV,yY=AV,bY=DV,xY=LV,wY=BV,kY=WV,NY=UV,IY=jV,SY=KV,TY=JV,EY=$V,CY=eG,RY=rG,AY=aG,_Y=sG,FY=cG,DY=dG,OY=vG,MY=kG,LY=IG,zY=SG,PY=CG,BY=eV,WY=_G,UY=OG,VY=MG,GY=LG,jY=zG,HY=GG,qY=HG,KY=KG,XY=XG,YY=YG,JY=$G,ZY=nj,QY=bG,$Y=rj;function eJ(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function tJ(e,t){return 1===t?[e]:eJ(e,t)}var nJ=function(){function e(e){if(this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.enableShapeUniforms=XX(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var t=tJ("rc",this.rank),n=GX(this.rank),r=this.getOutOfBoundsCondition(t),a=this.getSetup(t),i=this.getOutput(t);this.userCode="\n        void main() {\n          "+n+" rc = getOutputCoords();\n\n          if("+r+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}}var t=e.prototype;return t.getSourceCoordsArr=function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a=(0===n?"r":"rp1")+", "+(0===r?"c":"cp1"),i=2;i<this.rank;i++)a=e[e.length-1-i]+","+a;t.push(a)}return t},t.getOutOfBoundsCondition=function(e){if(1===this.rank)return"rc > "+(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+=e[n]+" >= "+(this.enableShapeUniforms?"outShape["+n+"]":this.outputShape[n]),n<this.rank-1&&(t+="||");return t},t.getSetup=function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape["+this.rank+" - 1]":this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape["+this.rank+" - 2]":this.outputShape[this.rank-2];return"\n      int r = "+t[0]+";\n      int c = "+t[1]+";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= "+n+";\n      bool rEdge = rp1 >= "+r+";\n    "},t.getOutput=function(e){var t=this.getSourceCoordsArr(e);return 1===this.rank?"getA(rc), (rc + 1 >= "+(this.enableShapeUniforms?"outShape":this.outputShape[0])+" ? 0. : getA(rc + 1)), 0, 0":"getA("+t[0]+"),\n            cEdge ? 0. : getA("+t[1]+"),\n            rEdge ? 0. : getA("+t[2]+"),\n            rEdge || cEdge ? 0. : getA("+t[3]+")"},e}(),rJ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length);for(var n,r="",a=0;a<4;a++){var i="thisRC = rc;";a%2==1&&(i+="thisRC.z += 1;"),a>1&&(i+="thisRC.y += 1;"),r+="\n        "+i+"\n        "+(a>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["+a+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(a>0?"}":"")+"\n      "}this.userCode="\n      "+(n=t,"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+(this.enableShapeUniforms?AX(["r","c","d"],"inputShape"):CX(["r","c","d"],n))+"\n      return ivec3(r, c, d);\n    }\n  \n      ")+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":_X(e))+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+(this.enableShapeUniforms?"outShape[1]":e[1])+";\n        int cols = "+(this.enableShapeUniforms?"outShape[2]":e[2])+";\n\n        "+r+"\n\n        setOutput(result);\n      }\n    "};var aJ=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=oJ(t,n),a=sJ(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=iJ(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].shift();return this.usedTextures[a].push(s),s}return r===KK.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===KK.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===KK.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===KK.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===KK.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i},t.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var a=oJ(n,r),i=sJ(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=iJ(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=Rg().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],l=u.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(l,1),this.log()}},t.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")");var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*t)+"%)")}},t.getNumUsedTextures=function(){return this.numUsedTextures},t.getNumFreeTextures=function(){return this.numFreeTextures},t.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}},kv(e,[{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}}]),e}();function iJ(e,t,n,r,a){var i,o=function(e,t){switch(e){case KK.PACKED_2X2_FLOAT32:return uY(t);case KK.PACKED_2X2_FLOAT16:return lY(t);case KK.UNPACKED_FLOAT32:return iY(t);case KK.UNPACKED_FLOAT16:return oY(t);case KK.PACKED_4X1_UNSIGNED_BYTE:return sY(t);default:throw new Error("Unknown physical texture type "+e)}}(t,r);if(a){var s=$K(e[0],e[1]);i=s[0]*s[1]}else{var u=ZK(e[0],e[1]);i=u[0]*u[1]}return i*function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format "+t)}(n,o)}function oJ(e,t){if(e===qK.UPLOAD)return KK.PACKED_2X2_FLOAT32;if(e===qK.RENDER||null==e)return function(e){return Rg().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?KK.PACKED_2X2_FLOAT32:KK.UNPACKED_FLOAT32:e?KK.PACKED_2X2_FLOAT16:KK.UNPACKED_FLOAT16}(t);if(e===qK.DOWNLOAD||e===qK.PIXELS)return KK.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function sJ(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var uJ=function(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        "+t+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},lJ="if (isnan(x)) return x;",cJ="return abs(x);";var pJ="return x;",hJ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},fJ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length);var t=e.length,n=tJ("rc",t),r=GX(t),a=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(t,n),i=n.slice(-2),o=t<=1?"rc":"vec2("+i.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+a+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},dJ=QC,mJ={};var vJ=Rg().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var gJ=function(e){function t(t){var n,r,a;if((n=e.call(this)||this).pendingRead=new WeakMap,n.pendingDisposal=new WeakSet,n.dataRefCount=new WeakMap,n.numBytesInGPU=0,n.uploadWaitMs=0,n.downloadWaitMs=0,n.lastGlFlushTime=0,n.warnedAboutMemory=!1,n.pendingDeletes=0,n.disposed=!1,!Rg().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=t){if(t instanceof pY)r=t;else{var i=JK(Rg().getNumber("WEBGL_VERSION"),t);r=new pY(i)}n.binaryCache={},n.gpgpuCreatedLocally=!1}else{var o=JK(Rg().getNumber("WEBGL_VERSION"));r=new pY(o),n.binaryCache=((a=Rg().getNumber("WEBGL_VERSION"))in mJ||(mJ[a]={}),mJ[a]),n.gpgpuCreatedLocally=!0}return n.gpgpu=r,n.canvas=n.gpgpu.gl.canvas,n.textureManager=new aJ(n.gpgpu),n.numMBBeforeWarning=null==Rg().global.screen?1024:Rg().global.screen.height*Rg().global.screen.width*window.devicePixelRatio*600/1024/1024,n.texData=new Dv(Rv(n),XI()),n}Nv(t,e);var n=t.prototype;return n.nextDataId=function(){return t.nextDataId++},n.numDataIds=function(){return this.texData.numDataIds()-this.pendingDeletes},n.write=function(e,t,n){if((Rg().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Rg().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:qK.UPLOAD,refCount:1}),r},n.refCount=function(e){return this.texData.has(e)?this.texData.get(e).refCount:0},n.incRef=function(e){this.texData.get(e).refCount++},n.decRef=function(e){this.texData.has(e)&&this.texData.get(e).refCount--},n.move=function(e,t,n,r,a){if(Rg().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:qK.UPLOAD,refCount:a})},n.disposeIntermediateTensorInfo=function(e){this.disposeData(e.dataId)},n.readSync=function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new hJ(o,pJ):new uJ(o,pJ);var l=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),c=this.readSync(l.dataId);return this.disposeIntermediateTensorInfo(l),c}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var p,h,f=null!=this.activeTimers;(f&&(p=_w()),"complex64"===r)?h=i_(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):h=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=_w()-p),this.convertAndCacheOnCPU(e,h)},n.read=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n,r,a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,o=r.slice,s=r.dtype,u=r.complexTensorInfos,l=r.isPacked,null==o){e.next=11;break}return c=l?new hJ(i,pJ):new uJ(i,pJ),p=this.runWebGLProgram(c,[{dataId:t,shape:i,dtype:s}],s),h=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",h);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!Rg().getBool("DEBUG")){e.next=16;break}if(Rg().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==Rg().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(f=null,"complex64"!==s&&Rg().get("WEBGL_BUFFER_SUPPORTED")&&(d=this.decode(t),v=this.texData.get(d.dataId),f=(m=this.gpgpu).createBufferFromTexture.apply(m,[v.texture.texture].concat(QK(i)))),this.pendingRead.set(t,[]),"complex64"===s){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==s){e.next=31;break}return e.next=25,Promise.all([this.read(u.real.dataId),this.read(u.imag.dataId)]);case 25:y=e.sent,b=y[0],x=y[1],g=i_(b,x),e.next=32;break;case 31:null==f?g=this.getValuesFromTexture(t):(w=Hv(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(f,w));case 32:return null!=d&&this.disposeIntermediateTensorInfo(d),null!=f&&tX(k=this.gpgpu.gl,(function(){return k.deleteBuffer(f)})),N=this.convertAndCacheOnCPU(t,g),I=this.pendingRead.get(t),this.pendingRead.delete(t),I.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&XI().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.readToGPU=function(e,t){void 0===t&&(t={});var n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var l;l=s?new hJ(a,pJ):new uJ(a,pJ);var c=this.runWebGLProgram(l,[{dataId:e,shape:a,dtype:o}],o),p=this.readToGPU(c,t);return this.disposeIntermediateTensorInfo(c),p}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var h=this.decode(e,t.customTexShape),f=XI().makeTensorFromDataId(h.dataId,h.shape,h.dtype),d=this.texData.get(h.dataId);return Object.assign({tensorRef:f},d.texture)},n.bufferSync=function(e){var t=this.readSync(e.dataId),n=t;if("string"===e.dtype)try{n=t.map((function(e){return Ow(e)}))}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return _N(e.shape,e.dtype,n)},n.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!nX(n)){if(Rg().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},n.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Hv(n);if(Rg().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),l=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(QK(n))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),l}var c=Rg().getBool("WEBGL_PACK")&&!0===a,p=c?yX(n):n,h=c?new QX(p):new ZX(p),f=this.runWebGLProgram(h,[{shape:p,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),m},n.timerAvailable=function(){return Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0},n.time=function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=jv(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=jv(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return xv(regeneratorRuntime.mark((function e(){var n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,s.kernelMs=Wv(n),s.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:o[t],ms:e}})).map((function(e){return e.name+": "+e.ms})).join(", ")},e.next=9;break;case 8:s.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",s);case 12:case"end":return e.stop()}}),e)})))()},n.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},n.startTimer=function(){return Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:_w(),endMs:null}},n.endTimer=function(e){return Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=_w(),e)},n.getQueryTime=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Rg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.disposeData=function(e,t){if(void 0===t&&(t=!1),this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e).complexTensorInfos;return null!=n&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0},n.releaseGPUData=function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},n.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture},n.getDataInfo=function(e){return this.texData.get(e)},n.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=vJ),Rg().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&Hv(e.shape)<t}))},n.getGPGPUContext=function(){return this.gpgpu},n.where=function(e){Lx("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return dJ(e.shape,t)},n.packedUnaryOp=function(e,t,n){var r=new hJ(e.shape,t),a=this.compileAndRun(r,[e],n);return XI().makeTensorFromDataId(a.dataId,a.shape,a.dtype)},n.abs=function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=BY(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(Rg().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,cJ,e.dtype);var n=new uJ(e.shape,cJ),r=this.compileAndRun(n,[e]);return XI().makeTensorFromDataId(r.dataId,r.shape,r.dtype)},n.makeTensorInfo=function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&ug(n[0])){var a=n.map((function(e){return Dw(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}},n.makeOutput=function(e,t,n){var r=this.makeTensorInfo(e,t,n).dataId;return XI().makeTensorFromDataId(r,e,t,this)},n.unpackTensor=function(e){var t=new fJ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},n.packTensor=function(e){var t=new nJ(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},n.packedReshape=function(e,t){var n=[vX(e.shape)].concat(gX(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[vX(t)].concat(gX(t)),i=new rJ(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}},n.decode=function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Uv(Hv(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=yX(a);o=r?new JX(s):new YX(s);var u=[null!=t?t:QK(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}},n.runWebGLProgram=function(e,t,n,r,a,i){var o=this;void 0===a&&(a=!1);var s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===HK.DENSE){var l=null!=i?i:QK(e.outputShape);u.texShape=l.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Hv(s.shape))return u.values=eg(s.dtype,0),s;var c=[],p=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=o.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&Hv(t.shape)<=Rg().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}if(o.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?o.unpackTensor(t):o.packTensor(t),c.push(t),n=o.texData.get(t.dataId);else if(n.isPacked&&!xX(n.shape,t.shape)){var r=t,a=t.shape;t.shape=n.shape,t=o.packedReshape(t,a),c.push(t),n=o.texData.get(t.dataId),r.shape=a}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var h,f={shape:s.shape,texData:u,isUniform:!1},d=function(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var i=t.texData.texShape,o=jX(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,l=o.keptDims,c="",p="",h="";if(1===u.length&&e.packedInputs){var f=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];c=(f[0]>1)+"_"+(f[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var d=dg(u);h=(d[0]===i[1])+"_"+(d[d.length-1]===i[1])}}else p=(u[0]>1)+"_"+(u[1]>1);var m=t.shape.length,v=2===u.length&&qv(t.shape,i),g=1===Hv(t.shape),y=rI(t.shape,n.shape),b=!e.packedInputs&&m===n.shape.length&&qv(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":(i[0]>1)+"_"+(i[1]>1);r+=m+"_"+b+"_"+(s?l:"")+"_"+u.length+"_"+g+"_"+y+"_"+v+"_"+c+"_"+p+"_"+h+"_"+x+"_"+a}else{var w=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+w+"_"+a}}));var a=e.userCode,i=e.constructor.name;return i+"_"+r+"_"+a+Rg().getNumber("WEBGL_VERSION")}(e,p,f),m=this.getAndSaveBinary(d,(function(){return function(e,t,n,r){var a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=a.map((function(e){return e.shapeInfo})),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=OX(a,o,t),u=aX(e.gl,s),l=e.createProgram(u),c=null,p=e.getUniformLocation(l,"NAN",!1);1===Rg().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(l,"INFINITY",!1));for(var h,f,d,m=!1,v={},g={},y={},b=0;b<t.variableNames.length;b++){var x=t.variableNames[b];v[x]=e.getUniformLocation(l,x,m),v["offset"+x]=e.getUniformLocation(l,"offset"+x,m),t.enableShapeUniforms&&(g[x+"Shape"]=e.getUniformLocation(l,x+"Shape",m),y[x+"TexShape"]=e.getUniformLocation(l,x+"TexShape",m))}t.enableShapeUniforms&&(h=e.getUniformLocation(l,"outShape",m),d=e.getUniformLocation(l,"outShapeStrides",m),f=e.getUniformLocation(l,"outTexShape",m));var w=[];return t.customUniforms&&t.customUniforms.forEach((function(t,n){w[n]=e.getUniformLocation(l,t.name,m)})),{program:t,fragmentShader:u,source:s,webGLProgram:l,uniformLocations:v,customUniformLocations:w,inShapeInfos:i,outShapeInfo:o,infLoc:c,nanLoc:p,inShapesLocations:g,inTexShapesLocations:y,outShapeLocation:h,outShapeStridesLocation:d,outTexShapeLocation:f}}(o.gpgpu,e,p,f)})),v=null!=this.activeTimers;v&&(h=this.startTimer()),function(e,t,n,r,a){t.program.enableShapeUniforms||(KX(t.inShapeInfos,n),KX([t.outShapeInfo],[r]));var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i.texture,o[0],o[1]):e.setOutputMatrixTexture(i.texture,o[0],o[1]),e.setProgram(t.webGLProgram),1===Rg().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((function(n,r){var a=t.program.variableNames[r],i=t.uniformLocations[a],o=t.uniformLocations["offset"+a],s=t.inShapesLocations[a+"Shape"],u=t.inTexShapesLocations[a+"TexShape"];if(s){var l=jX(t.program.packedInputs,n.shape,n.texData.texShape).uniformShape;switch(l.length){case 1:e.gl.uniform1iv(s,new Int32Array(l));break;case 2:e.gl.uniform2iv(s,new Int32Array(l));break;case 3:e.gl.uniform3iv(s,new Int32Array(l));break;case 4:e.gl.uniform4iv(s,new Int32Array(l))}}if(u&&e.gl.uniform2i(u,n.texData.texShape[0],n.texData.texShape[1]),null!=i)if(n.isUniform)if(Hv(n.shape)<2)e.gl.uniform1f(i,n.uniformValues[0]);else{var c=n.uniformValues;c instanceof Float32Array||(c=new Float32Array(c)),e.gl.uniform1fv(i,c)}else null!=n.texData.slice&&null!=o&&e.gl.uniform1i(o,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture.texture,i,r)}));var s=t.outShapeLocation;if(s)switch(r.shape.length){case 1:e.gl.uniform1iv(s,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(s,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(s,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(s,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var u=dg(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u))}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a&&t.program.customUniforms.forEach((function(n,r){var i=t.customUniformLocations[r],o=a[r];if("float"===n.type)e.gl.uniform1fv(i,o);else if("vec2"===n.type)e.gl.uniform2fv(i,o);else if("vec3"===n.type)e.gl.uniform3fv(i,o);else if("vec4"===n.type)e.gl.uniform4fv(i,o);else if("int"===n.type)e.gl.uniform1iv(i,o);else if("ivec2"===n.type)e.gl.uniform2iv(i,o);else if("ivec3"===n.type)e.gl.uniform3iv(i,o);else{if("ivec4"!==n.type)throw Error("uniform type "+n.type+" is not supported yet.");e.gl.uniform4iv(i,o)}})),e.executeProgram()}(this.gpgpu,m,p,f,r),c.forEach((function(e){return o.disposeIntermediateTensorInfo(e)})),v&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));var g=Rg().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=_w();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!Rg().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===a){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s},n.compileAndRun=function(e,t,n,r,a){return void 0===a&&(a=!1),n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)},n.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},n.getTextureManager=function(){return this.textureManager},n.dispose=function(){var e=this;if(!this.disposed){if(!Rg().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}},n.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=JI((function(){if(!Rg().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Rg().getBool("DEBUG");Rg().set("DEBUG",!1);var n=e.abs(vC(1e-8)).dataSync()[0];if(Rg().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,l=null!=this.activeTimers;l&&(u=_w());var c=t.texShape;if(null==c&&(c=function(e,t){void 0===t&&(t=!1);var n=Rg().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map((function(t,n){return n>=e.length-2?Pv(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var r=$v(e);e=r.newShape}var a=Hv(e);if(e.length<=1&&a<=n)return[1,a];if(2===e.length&&e[0]<=n&&e[1]<=n)return e;if(3===e.length&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(3===e.length&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){var i=vX(e),o=2,s=2;if(e.length){var u=gX(e);o=u[0],s=u[1]}return Xv(a=i*(o/2)*(s/2)).map((function(e){return 2*e}))}return Xv(a)}(n,s),t.texShape=c),null!=a){var p,h=yX(n),f=c[1],d=c[0],m=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!m){var v=$K(c[0],c[1]);f=v[0],d=v[1]}p=s?new eY(h,m):new $X(h,m);var g=m?[d,f]:c,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=m?qK.PIXELS:qK.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],w=this.runWebGLProgram(p,[y],r,x,!0),k=this.texData.get(w.dataId);t.texture=k.texture,t.texShape=k.texShape,t.isPacked=k.isPacked,t.usage=k.usage,this.disposeIntermediateTensorInfo(y),this.texData.delete(w.dataId),t.values=null,l&&(this.uploadWaitMs+=_w()-u)}else{var N=this.acquireTexture(c,o,r,s);t.texture=N}}},n.convertAndCacheOnCPU=function(e,t){var n=this.texData.get(e),r=n.dtype;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype "+t)}(t,r)),n.values},n.acquireTexture=function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+a+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)},n.computeBytes=function(e,t){return e[0]*e[1]*og(t)},t}(Ov);gJ.nextDataId=0;gk()&&eS("webgl",(function(){return new gJ}),2);var yJ=function(e,t,n){this.variableNames=["A","B"],this.outputShape=iI(t,n),this.enableShapeUniforms=XX(this.outputShape.length),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},bJ=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=iI(t,n);var a=this.outputShape.length;this.enableShapeUniforms=XX(a);var i="";if(r)if(0===a||1===Hv(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+GX(a)+" coords = getOutputCoords();\n        ",1===a)this.enableShapeUniforms?i+="\n            result.y = (coords + 1) >= outShape ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ":i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=tJ("coords",a);this.enableShapeUniforms?i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= outShape["+a+" - 2];\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= outShape["+a+" - 1];\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          ":i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+i+"\n\n        setOutput(result);\n      }\n    "};function xJ(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var wJ={kernelName:Hy,backendName:"webgl",kernelFunc:xJ};function kJ(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),s=xJ({inputs:{x:r},backend:n}),u=xJ({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var NJ={kernelName:ay,backendName:"webgl",kernelFunc:kJ},IJ="return (a < 0.) ? b * a : a;",SJ="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var TJ={kernelName:Zy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",Rw(i,"float32")),s=Rg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bJ(SJ,a.shape,o.shape):new yJ(IJ,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},EJ="return (a < 0.) ? b * a : a;",CJ="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var RJ={kernelName:Db,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=Rg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bJ(CJ,r.shape,a.shape):new yJ(EJ,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function AJ(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,l=s,c=a||u.dtype;if(l.shouldExecuteOnCPU([u])&&null!=r){var p=l.texData.get(u.dataId),h=r(p.values,c);return l.makeTensorInfo(u.shape,c,h)}return i=Rg().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new hJ(u.shape,n):new uJ(u.shape,t),l.runWebGLProgram(i,[u],c)}}function _J(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,a=void 0!==r&&r,i=e.supportsComplex,o=void 0!==i&&i,s=e.cpuKernelImpl,u=e.dtype;return function(e){var r=e.inputs,i=e.backend,l=r.a,c=r.b,p=i;if(o&&"complex64"===l.dtype){var h=p.texData.get(l.dataId),f=p.texData.get(c.dataId),d=[[h.complexTensorInfos.real,f.complexTensorInfos.real],[h.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=e[0],r=e[1],a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o=new yJ(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],tk(n.dtype,r.dtype))})),m=d[0],v=d[1],g=kJ({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||tk(l.dtype,c.dtype);if(("string"===l.dtype||"string"===c.dtype||p.shouldExecuteOnCPU([l,c]))&&null!=s){var x=p.texData.get(l.dataId).values,w=p.texData.get(c.dataId).values,k="string"===l.dtype?z_(x):x,N="string"===l.dtype?z_(w):w,I=s(l.shape,c.shape,k,N,b),S=I[0],T=I[1],E=p.makeTensorInfo(T,b);return p.texData.get(E.dataId).values=S,E}return y=Rg().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new bJ(n,l.shape,c.shape,a):new yJ(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}function FJ(e,t){if(void 0===t&&(t=!1),"linear"===e)return"return x;";if("relu"===e)return t?"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n":"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n";if("elu"===e)return t?"\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n":"return (x >= 0.0) ? x : (exp(x) - 1.0);";if("relu6"===e)return t?"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n":"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n";if("prelu"===e)return t?CJ:EJ;if("leakyrelu"===e)return t?SJ:IJ;if("sigmoid"===e)return"return 1.0 / (1.0 + exp(-1.0 * x));";throw new Error("Activation "+e+" has not been implemented for the WebGL backend.")}var DJ=function(e,t,n,r,a,i,o,s,u){void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=!1),void 0===o&&(o=null),void 0===s&&(s=!1),void 0===u&&(u=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=XX(this.outputShape.length);var l=r?e[1]:e[2],c=Math.ceil(l/2),p=r?"i * 2, rc.y":"rc.y, i * 2",h=a?"rc.z, i * 2":"i * 2, rc.z",f=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",v="";o&&(m=s?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+o+"\n        }":u?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          "+o+"\n        }":"vec4 activation(vec4 x) {\n          "+o+"\n        }",v="result = activation(result);");var g=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");var y="rc.x",b="rc.x";e[0]<t[0]?y="int(min(float(rc.x), "+(e[0]-1)+".))":t[0]<e[0]&&(b="int(min(float(rc.x), "+(t[0]-1)+".))"),this.userCode="\n      "+m+"\n      // Don't use uniform for sharedDimensionPacked for performance.\n      const float sharedDimension = "+c+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+c+"; i++) {\n          int batchA = "+y+";\n          int batchB = "+b+";\n          vec4 a = getMatrixA(batchA, "+p+");\n          vec4 b = getMatrixB(batchB, "+h+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+d[0]+");\n          result += ("+f[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+g+"\n\n        "+v+"\n\n        setOutput(result);\n      }\n    "},OJ="return areal * breal - aimag * bimag;",MJ="return areal * bimag + aimag * breal;",LJ=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=iI(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\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    "},zJ="return a * b;";function PJ(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=tk(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),l=new LJ(OJ,a.shape,i.shape),c=new LJ(MJ,a.shape,i.shape),p=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],h=r.runWebGLProgram(l,p,"float32"),f=r.runWebGLProgram(c,p,"float32"),d=kJ({inputs:{real:h,imag:f},backend:r});return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var m=r.texData.get(a.dataId),v=r.texData.get(i.dataId),g=FY(a.shape,i.shape,m.values,v.values,o),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=Rg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bJ(zJ,a.shape,i.shape):new yJ(zJ,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var BJ={kernelName:kb,backendName:"webgl",kernelFunc:PJ};function WJ(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=Hv(a.shape),u=Zv(i,s),l=Hv(u);Uv(s===l,(function(){return"The new shape ("+u+") has "+l+" elements and the old shape ("+a.shape+") has "+s+" elements. The new shape and old shape must have the same number of elements."}));var c=o.texData.get(a.dataId);return!c.isPacked||xX(a.shape,u)||null!==c.texture&&xX(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[vX(e.shape)].concat(gX(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[vX(t)].concat(gX(t)),o=new rJ(i,r),s=[r],u=n.runWebGLProgram(o,[a],e.dtype,s,!0);return{dataId:u.dataId,shape:t,dtype:u.dtype}}(a,u,o)}var UJ={kernelName:Bb,backendName:"webgl",kernelFunc:WJ},VJ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o=4*Math.floor(n/4),s=n%4,u="sumValue += dot(values, ones);";if(null!=t){var l=1/t;u="sumValue += dot(values * "+(Kv(l)?l.toPrecision(2):l)+", ones);"}var c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return 0.0;\n        }\n      "),this.userCode="\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\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        float sumValue = 0.0;\n\n        for (int i = 0; i < "+o+"; 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          "+u+"\n        }\n\n        int inIdx = inOffset + "+o+";\n        if ("+(1===s)+") {\n          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n          "+u+"\n        } else if ("+(2===s)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          "+u+"\n        } else if ("+(3===s)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          "+u+"\n        }\n        setOutput(sumValue);\n      }\n    "},GJ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\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        if ("+("min"===t)+" || "+("max"===t)+") {\n          minMaxValue = "+s+"(values, minMaxValue);\n          bvec4 isNaN = isnan(values);\n          if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n            minMaxValue = vec4(NAN);\n          }\n        }\n      }\n    ",h="vec4";"all"===t?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===t&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "};function jJ(e,t,n,r){for(var a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=jA(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],l=u.inSize,c=u.windowSize,p=u.outSize,h=void 0;h="mean"===n?0===o?new VJ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new VJ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new GJ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},n),s=i,i=r.runWebGLProgram(h,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var HJ=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=GX(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "};var qJ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=GX(this.rank),i=eJ("rc",this.rank),o=new Array(this.rank),s=0;s<t.length;s++)o[t[s]]=i[s];var u="vec2("+o.slice(-2).join()+")",l="++"+i[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+u+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+l+") {\n        result[1] = "+c+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+l+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};function KJ(e,t,n){var r=Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new qJ(e.shape,t):new HJ(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function XJ(e){var t=e.inputs,n=e.backend,r=e.attrs;return function(e,t,n,r){var a=t,i=e.shape.length,o=Qv(a,e.shape),s=o,u=oE(s,i),l=null!=u,c=e;l&&(c=KJ(e,u,r),s=uE(s.length,i)),iE("sum",s,i);var p=rE(c.shape,s),h=p[0],f=p[1],d=h;n&&(d=aE(h,o));var m=Hv(f),v=WJ({inputs:{x:c},attrs:{shape:[Hv(e.shape)/m,m]},backend:r}),g=jJ(v,nk(e.dtype),"sum",r),y=WJ({inputs:{x:g},attrs:{shape:d},backend:r});return r.disposeIntermediateTensorInfo(v),r.disposeIntermediateTensorInfo(g),l&&r.disposeIntermediateTensorInfo(c),y}(t.x,r.axis,r.keepDims,n)}var YJ={kernelName:ax,backendName:"webgl",kernelFunc:XJ};function JJ(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,l=new Array(u),c=0;c<l.length;c++)l[c]=i.shape[o[c]];if(s.shouldExecuteOnCPU([i])){var p=s.texData.get(i.dataId).values,h=QY(p,i.shape,i.dtype,o,l);t=s.makeTensorInfo(l,i.dtype),s.texData.get(t.dataId).values=h}else t=KJ(i,o,s);return t}var ZJ={kernelName:Sx,backendName:"webgl",kernelFunc:JJ};function QJ(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=t.shape.length,m=n.shape.length,v=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[m-1]:n.shape[m-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[m-2]:n.shape[m-1],x=t.shape.slice(0,-2),w=n.shape.slice(0,-2),k=Hv(x),N=Hv(w),I=iI(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);Uv(v===g,(function(){return"Error in matMul: inner shapes ("+v+") and ("+g+") of Tensors with shapes "+t.shape+" and "+n.shape+" and transposeA="+r+" and transposeB="+a+" must match."}));var S,T=r?[k,v,y]:[k,y,v],E=a?[N,b,g]:[N,g,b],C=WJ({inputs:{x:t},backend:i,attrs:{shape:T}}),R=WJ({inputs:{x:n},backend:i,attrs:{shape:E}}),A=[C,R],_=Math.max(k,N),F=r?C.shape[1]:C.shape[2],D=null!=s,O=null!=l,M="leakyrelu"===f,L=null!=f?FJ(f,!0):null;if((1===y||1===b)&&F>1e3&&!1===(D||O||M||null!=L)){var z=C,P=R;r&&(z=JJ({inputs:{x:C},backend:i,attrs:{perm:[0,2,1]}}),A.push(z)),a&&(P=JJ({inputs:{x:R},backend:i,attrs:{perm:[0,2,1]}}),A.push(P));var B=1===b,W=z;1!==b&&(W=WJ({inputs:{x:z},backend:i,attrs:{shape:[_,F,1]}}),A.push(W));var U=1===b?2:1,V=P;B&&(V=WJ({inputs:{x:P},backend:i,attrs:{shape:[_,1,F]}}),A.push(V));var G=PJ({inputs:{a:W,b:V},backend:i});S=XJ({inputs:{x:G},backend:i,attrs:{axis:U,keepDims:!0}}),A.push(G)}else{var j=tk(t.dtype,n.dtype),H=new DJ(T,E,[_,y,b],r,a,D,L,O,M),q=[C,R];if(null!=s&&q.push(s),O&&q.push(l),M){var K=i.makeTensorInfo([],"float32",Rw(p,"float32"));q.push(K),A.push(K)}S=i.runWebGLProgram(H,q,j)}var X=WJ({inputs:{x:S},backend:i,attrs:{shape:I}});A.push(S);for(var Y=0,J=A;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var $J={kernelName:Dx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,l=r.transposeB,c=r.activation;return QJ({a:a,b:i,transposeA:u,transposeB:l,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:c})}},eZ="return abs(x);";var tZ={kernelName:Fg,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=BY(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=Rg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new hJ(a.shape,eZ):new uJ(a.shape,eZ),r.runWebGLProgram(t,[a],a.dtype)}},nZ=AJ({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),rZ={kernelName:Dg,backendName:"webgl",kernelFunc:nZ},aZ=AJ({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),iZ={kernelName:Og,backendName:"webgl",kernelFunc:aZ},oZ="return a + b;",sZ=_J({opSnippet:oZ,packedOpSnippet:oZ,supportsComplex:!0,cpuKernelImpl:hY}),uZ={kernelName:Mg,backendName:"webgl",kernelFunc:sZ},lZ=function(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("float v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},cZ=function(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("vec4 v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "};var pZ={kernelName:Lg,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return xJ({inputs:{x:a[0]},backend:r});if(a.length>Rg().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(a.length/2),o=e({inputs:a.slice(0,i),backend:r}),s=e({inputs:a.slice(i),backend:r});return e({inputs:[o,s],backend:r})}var u=a.map((function(e){return e.dtype})).reduce((function(e,t){return tk(e,t)})),l=a.map((function(e){return e.shape})),c=Rg().getBool("WEBGL_PACK")?new cZ(a[0].shape,l):new lZ(a[0].shape,l);return r.runWebGLProgram(c,a,u)}};var hZ={kernelName:zg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Qv(i,a.shape),l=u,c=oE(l,s),p=a;null!=c&&(p=JJ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=uE(l.length,s)),iE("all",l,s);var h,f=rE(p.shape,l),d=f[0],m=WJ({inputs:{x:p},backend:n,attrs:{shape:[-1,Hv(f[1])]}}),v=jJ(m,m.dtype,"all",n);return h=WJ(o?{inputs:{x:v},backend:n,attrs:{shape:aE(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}};var fZ={kernelName:Pg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Qv(i,a.shape),l=u,c=oE(l,s),p=a;null!=c&&(p=JJ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=uE(l.length,s)),iE("any",l,s);var h,f=rE(p.shape,l),d=f[0],m=WJ({inputs:{x:p},backend:n,attrs:{shape:[-1,Hv(f[1])]}}),v=jJ(m,m.dtype,"any",n);return h=WJ(o?{inputs:{x:v},backend:n,attrs:{shape:aE(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},dZ=function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.outSize;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,i];var o="max"===t?">":"<",s=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 = "+s+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+o+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "},mZ=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Uv(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=e[e.length-1],i=Math.ceil(a/t);this.outputShape=e.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=GX(l),p=tJ("coords",l);if(1===i){var h=GX(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(e){return"int "+e})),v=tJ("sourceLocR",s-1).concat("inIdx.r"),g=tJ("sourceLocG",s-1).concat("inIdx.g"),y=tJ("sourceLocB",s-1).concat("inIdx.b"),b=tJ("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+N+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "};function vZ(e,t,n,r){void 0===r&&(r=null);var a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=jA(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new dZ(s,n,null==r),l=[t];null!=r&&l.push(r);var c=e.runWebGLProgram(u,l,"int32");if(1===c.shape[1])return c;var p=vZ(e,t,n,c);return e.disposeIntermediateTensorInfo(c),p}function gZ(e,t,n,r){void 0===r&&(r=null);var a=null!=r?r.shape:t.shape,i=jA(a[a.length-1]),o=new mZ(a,i,n,null==r),s=null==r?[t]:[t,r],u=e.runWebGLProgram(o,s,"int32");if(u.shape.length===t.shape.length){var l=gZ(e,t,n,u);return e.disposeIntermediateTensorInfo(u),l}return u}function yZ(e,t,n,r){var a=[n];if(iE("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!Rg().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=rE(s.shape,a),l=u[0],c=Hv(u[1]),p=WJ({inputs:{x:s},backend:e,attrs:{shape:[-1,c]}});i.push(p);var h=vZ(e,p,r);i.push(h);var f=WJ({inputs:{x:h},backend:e,attrs:{shape:l}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return gZ(e,t,r)}var bZ={kernelName:Bg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Qv(r.axis,a.shape),o=oE(i,a.shape.length),s=a,u=[];null!=o&&(s=JJ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=uE(i.length,s.shape.length)),iE("argMax",[i[0]],s.shape.length);var l=yZ(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}};var xZ={kernelName:Wg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Qv(r.axis,a.shape),o=oE(i,a.shape.length),s=a,u=[];null!=o&&(s=JJ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=uE(i.length,s.shape.length)),iE("argMin",[i[0]],s.shape.length);var l=yZ(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}},wZ=AJ({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),kZ={kernelName:Ug,backendName:"webgl",kernelFunc:wZ},NZ=AJ({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),IZ={kernelName:Vg,backendName:"webgl",kernelFunc:NZ},SZ=AJ({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),TZ={kernelName:Gg,backendName:"webgl",kernelFunc:SZ},EZ=_J({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),CZ={kernelName:Hg,backendName:"webgl",kernelFunc:EZ},RZ=AJ({opSnippet:"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),AZ={kernelName:jg,backendName:"webgl",kernelFunc:RZ},_Z=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch  * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="0.0";if(d||(g="-1.0 / 1e-20"),n){this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+h+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+c+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+l+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.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 = "+(r?a?m:v:"wR * "+p+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(i/4),x=i%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+h+", "+f+");\n      const float initializationValue = "+g+";\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 >= "+e.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("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+c+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+l+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              getValue(batch, xR, xC + 3 * "+l+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},FZ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideDepth,s=e.strideHeight,u=e.strideWidth,l=e.dilationDepth,c=e.dilationHeight,p=e.dilationWidth,h=e.effectiveFilterDepth,f=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,v=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+h+";\n              wD += "+l+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+c+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+p+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+f+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / count");var w=4*Math.floor(i/4),k=i%4,N="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+h+";\n            wD += "+l+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+c+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+p+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n              );\n\n              "+N+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                initializationValue\n              );\n\n              "+N+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}};var DZ={kernelName:qg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;SX(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Uv(AS(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=xS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&qv(l.inShape,l.outShape))return xJ({inputs:{x:a},backend:n});var c=new _Z(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var OZ={kernelName:Xg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,l=r.dataFormat,c=wS(a.shape,i,o,[1,1,1],s,u,l),p=new FZ(c,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}},MZ=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.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    "},LZ=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterDepth,p=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=c-1-e.padInfo.front,d=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+v+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var zZ={kernelName:Yg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,l=r.dimRoundingMode,c=wS(i.shape,o,s,[1,1,1],u,l),p=new LZ(c);return n.runWebGLProgram(p,[a],i.dtype)}};var PZ={kernelName:Kg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;SX([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=xS(o.shape,s,u,1,l),p=new MZ(c);return n.runWebGLProgram(p,[a],o.dtype)}};var BZ={kernelName:Jg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return QJ({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},WZ=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],iI(e,t),iI(e,n);var o="0.0";null!=r&&(iI(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(iI(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},UZ=function(e,t,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],iI(e,t),iI(e,n);var o="vec4(0.0)";null!=r&&(iI(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(iI(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},VZ={kernelName:Wy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;Uv(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Uv(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Uv(null==u||i.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var l=r.varianceEpsilon;null==l&&(l=.001);var c=[a,i,o],p=null;null!=s&&(p=s.shape,c.push(s));var h=null;null!=u&&(h=u.shape,c.push(u));var f=Rg().getBool("WEBGL_PACK_NORMALIZATION")?new UZ(a.shape,i.shape,o.shape,p,h,l):new WZ(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(f,c,c[0].dtype)}},GZ=function(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t=GX(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var n,r=function(e){if(1===e)return"sourceLoc";if(e<=6)return jZ.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);n="\n        "+t+" sourceLoc;\n        "+t+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+jZ[t]+" = start["+t+"] + coords."+jZ[t]+";"})).join("\n")+"\n      ",this.userCode="\n      void main() {\n        "+n+"\n        setOutput(getSource("+r+"));\n      }\n    "},jZ=["x","y","z","w","u","v"];var HZ=function(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var t=GX(this.rank),n=tJ("coords",this.rank),r=tJ("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = "+i+";\n      if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+i+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+e[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+i+";\n        if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+i+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+t+"("+e.map((function(e,t){return"start["+t+"]"})).join()+");":e.map((function(e,t){return r[t]+" = "+n[t]+" + start["+t+"];"})).join("\n");this.userCode="\n      void main() {\n        "+t+" coords = getOutputCoords();\n        "+t+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+o+"\n        "+s+"\n        setOutput(result);\n      }\n    "};function qZ(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=DI(a,r.begin,r.size),o=i[0],s=i[1];if(wI(a,o,s),0===Hv(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),l=WY(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,l)}var c=n.texData.get(a.dataId).isPacked,p=_I(a.shape,o,s);if(c||!p){var h=Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new HZ(s):new GZ(s),f=[o];return n.runWebGLProgram(h,[a],a.dtype,f)}return n.uploadToGPU(a.dataId),function(e,t,n,r){var a=r.texData.get(e.dataId),i=r.makeTensorInfo(n,e.dtype),o=r.texData.get(i.dataId);Object.assign(o,a),o.refCount=1,o.shape=n,o.dtype=e.dtype;var s=FI(t,dg(e.shape));a.slice&&(s+=a.slice.flatOffset),o.slice={flatOffset:s,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var KZ={kernelName:Zb,backendName:"webgl",kernelFunc:qZ},XZ={kernelName:Zg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Uv(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=qA(a.shape,i,s),l=KA(u.length,i.length),c=XA(a.shape,i,s),p=YA(o,i.length),h=JA(c,o,i.length),f=[],d=WJ({inputs:{x:a},backend:n,attrs:{shape:u}}),m=JJ({inputs:{x:d},backend:n,attrs:{perm:l}}),v=WJ({inputs:{x:m},backend:n,attrs:{shape:c}}),g=qZ({inputs:{x:v},backend:n,attrs:{begin:p,size:h}});return f.push(d),f.push(m),f.push(v),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var YZ={kernelName:Qg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=fY(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}};var JZ={kernelName:ey,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=iI(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},ZZ=_J({opSnippet:"return float(a != b);",cpuKernelImpl:OY,dtype:"bool"}),QZ={kernelName:Ib,backendName:"webgl",kernelFunc:ZZ};function $Z(e){var t=e.inputs,n=e.backend,r=t.input;return xJ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var eQ={kernelName:Lb,backendName:"webgl",kernelFunc:$Z};var tQ={kernelName:ty,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return xJ({inputs:{x:i},backend:r});var s=bE(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),l=kJ({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),l}if("complex64"===i.dtype){var c=$Z({inputs:{input:i},backend:r}),p=e({inputs:{x:c},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(c),p}if(!ag(i.dtype,o)){var h=xJ({inputs:{x:i},backend:r});return{dataId:h.dataId,shape:h.shape,dtype:o}}if("int32"===o)return function(e,t){var n=new uJ(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var f=r.makeTensorInfo([],"bool",eg("bool",1)),d=ZZ({inputs:{a:i,b:f},backend:r});return r.disposeIntermediateTensorInfo(f),d}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+o)}},nQ="return ceil(x);",rQ=AJ({opSnippet:nQ,packedOpSnippet:nQ,cpuKernelImpl:mY}),aQ={kernelName:ny,backendName:"webgl",kernelFunc:rQ},iQ=function(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode="\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "},oQ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode="\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "};var sQ={kernelName:ry,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.clipValueMin,s=a.clipValueMax;t=Rg().getBool("WEBGL_PACK_CLIP")?new oQ(i.shape):new iQ(i.shape);var u=[[o],[s]];return r.runWebGLProgram(t,[i],i.dtype,u)}},uQ=function(e){this.variableNames=["real","imag"],this.outputShape=e,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    "};function lQ(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var cQ={kernelName:iy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new uQ(r.shape),o=[lQ(r,a.complexTensorInfos.real),lQ(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},pQ=function(e){this.outputShape=[],this.outputShape=GA(e,1),this.variableNames=e.map((function(e,t){return"T"+t}));var t=new Array(e.length-1);t[0]=e[0][1];for(var n=1;n<t.length;n++)t[n]=t[n-1]+e[n][1];for(var r=["if (yC < "+t[0]+") setOutput(getT0(yR, yC));"],a=1;a<t.length;a++){var i=t[a-1];r.push("else if (yC < "+t[a]+") setOutput(getT"+a+"(yR, yC-"+i+"));")}var o=t.length,s=t[t.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+s+"));"),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    "},hQ=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=GA(e,t);var n=this.outputShape,r=n.length,a=GX(r),i=tJ("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];for(var l=o[t],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }",f=1;f<s.length;f++){var d=s[f-1];h+="\n        if ("+l+" < "+s[f]+"  && "+l+" >= "+s[f-1]+") {\n          return getChannel(\n            getT"+f+"("+fQ(o,l,d)+"),\n            vec2("+fQ(c,l,d)+"));\n        }"}var m=s.length,v=s[s.length-1];h+="\n        return getChannel(\n          getT"+m+"("+fQ(o,l,v)+"),\n          vec2("+fQ(c,l,v)+"));",this.userCode="\n      float getValue("+o.map((function(e){return"int "+e}))+") {\n        "+h+"\n      }\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+i+"), 0., 0., 0.);\n\n        "+i[r-1]+" = "+i[r-1]+" + 1;\n        if ("+i[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+i+");\n        }\n\n        "+i[r-2]+" = "+i[r-2]+" + 1;\n        if ("+i[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+i+");\n        }\n\n        "+i[r-1]+" = "+i[r-1]+" - 1;\n        if ("+i[r-2]+" < "+n[r-2]+" &&\n            "+i[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+i+");\n        }\n        setOutput(result);\n      }\n    "};function fQ(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function dQ(e){var t=e.inputs,n=e.backend,r=t.input;return xJ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var mQ={kernelName:Ky,backendName:"webgl",kernelFunc:dQ};function vQ(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return $Z({inputs:{input:e},backend:n})})),i=e.map((function(e){return dQ({inputs:{input:e},backend:n})})),o=vQ(a,t,n),s=vQ(i,t,n),u=kJ({inputs:{real:o,imag:s},backend:n});return a.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),i.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}var l=n.shouldExecuteOnCPU(e);if("string"===r&&(l=!0),l){var c=e.map((function(e){var r=Hv(e.shape.slice(t));return WJ({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),p=c.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),h=GA(c.map((function(e){return e.shape})),1),f=1===c[0].shape[0],d=vY(p,h,r,f),m=GA(e.map((function(e){return e.shape})),t),v=n.makeTensorInfo(m,r,d);return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}if(e.length>Rg().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var g=Math.floor(e.length/2),y=vQ(e.slice(0,g),t,n),b=vQ(e.slice(g),t,n),x=vQ([y,b],t,n);return n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(b),x}if(Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){var w=new hQ(e.map((function(e){return e.shape})),t);return n.runWebGLProgram(w,e,r)}var k=function(e,t,n){var r=GA(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return WJ({inputs:{x:e},attrs:{shape:[-1,Hv(e.shape.slice(t))]},backend:n})})),outShape:r}}(e,t,n),N=k.tensors2D,I=k.outShape,S=new pQ(N.map((function(e){return e.shape}))),T=n.runWebGLProgram(S,N,r);N.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var E=WJ({inputs:{x:T},attrs:{shape:I},backend:n});return n.disposeIntermediateTensorInfo(T),E}function gQ(e){var t=e.inputs,n=e.backend,r=Qv(e.attrs.axis,t[0].shape)[0],a=GA(t.map((function(e){return e.shape})),r);if(0===Hv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Hv(e.shape)>0}));return 1===i.length?xJ({inputs:{x:i[0]},backend:n}):(VA(i.map((function(e){return e.shape})),r),vQ(i,r,n))}var yQ={kernelName:oy,backendName:"webgl",kernelFunc:gQ},bQ=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,o=e.padInfo.left,s=e.strideHeight,u=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4,m="channelsLast"===e.dataFormat,v=m?1:2,g=m?2:3,y=m?3:1,b="",x="";n&&(b=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+b+"\n\n      const ivec2 strides = ivec2("+s+", "+u+");\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+y+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+p+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+m+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+m+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+m+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+m+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1),\n                  getX(batch, xR, xC, "+f+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC),\n                  getX(batch, "+f+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+w+"\n        "+x+"\n        setOutput(result);\n      }\n    "},xQ=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterDepth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+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 >= "+e.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 >= "+e.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 >= "+e.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    "},wQ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=e,this.enableShapeUniforms=XX(this.outputShape.length);for(var n=t.dataFormat,r=EX(),a="channelsLast"===n,i=a?0:1,o=a?1:2,s=this.enableShapeUniforms?"if(blockIndex < outShape[1] && pos < outShape[0]) {":"if(blockIndex < "+e[1]+" && pos < "+e[0]+") {",u="",l=0;l<=1;l++)for(var c=0;c<=1;c++)u+="\n          blockIndex = rc.y + "+c+";\n          pos = rc.x + "+l+";\n\n          "+s+"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape["+i+"] && d0 >= 0) {\n              // Use custom imod instead mod. On Intel GPU, mod may generate\n              // unexpected value.\n              // https://github.com/tensorflow/tfjs/issues/5447\n              offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n              d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n                  inChannels);\n\n              if(d1 < inputShape["+o+"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if ("+a+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*l+c)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*l+c)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+u+"\n\n        "+r.output+" = result;\n      }\n    "};function kQ(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=n.shape,m=i.texData.get(n.dataId),v=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(!((1===g||1===y)&&v>1e3)&&m.isPacked&&b&&null!=m.texture&&d[2]%2!=0&&qv(m.shape.slice(-3),d.slice(-3))){var w=d[0]*d[1]*(d[2]+1),k={dataId:n.dataId,shape:[1,w,a.inChannels],dtype:n.dtype},N=m.shape;m.shape=m.shape.slice(),m.shape[m.shape.length-2]++,Uv(xX(m.shape,k.shape),(function(){return"packed reshape "+m.shape+" to "+k.shape+" isn't free"}));var I=WJ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(I);var S=QJ({a:k,b:I,backend:i,transposeA:false,transposeB:false,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p}),T=i.texData.get(S.dataId);Uv(T.isPacked,(function(){return"batchMatMul result is expected to be packed"})),m.shape=N,T.shape=a.outShape,(t=xJ({inputs:{x:S},backend:i})).shape=a.outShape,x.push(S)}else{var E=WJ({inputs:{x:n},backend:i,attrs:{shape:[1,b?d[0]*d[1]*d[2]:d[0]*d[2]*d[3],a.inChannels]}}),C=WJ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),R=QJ({a:E,b:C,transposeA:false,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p});t=WJ({inputs:{x:R},backend:i,attrs:{shape:a.outShape}}),x.push(E),x.push(C),x.push(R)}for(var A=0,_=x;A<_.length;A++){var F=_[A];i.disposeIntermediateTensorInfo(F)}return t}function NQ(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,l=e.leakyreluAlpha,c=void 0===l?0:l,p=e.activation,h=void 0===p?null:p,f=r.filterWidth,d=r.filterHeight,m=r.inChannels,v=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*m,x=g*v,w=[b,x],k=[],N=WJ({inputs:{x:t},backend:a,attrs:{shape:t.shape.slice(1)}}),I=WJ({inputs:{x:n},backend:a,attrs:{shape:[1,b,Hv(n.shape)/b]}});k.push(N),k.push(I);var S=new wQ(w,r),T=[N.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],E=a.runWebGLProgram(S,[N],"float32",T),C=WJ({inputs:{x:E},backend:a,attrs:{shape:[1,w[0],w[1]]}});k.push(E),k.push(C);var R=null!=o,A=null!=u,_="leakyrelu"===h,F=h?FJ(h,!0):null,D=new DJ(C.shape,I.shape,[1,x,r.outChannels],!0,!1,R,F,A,_),O=[C,I];if(o&&O.push(o),A&&O.push(u),_){var M=a.makeTensorInfo([],"float32",Rw(c,"float32"));O.push(M),k.push(M)}var L=a.runWebGLProgram(D,O,"float32"),z=WJ({inputs:{x:L},backend:a,attrs:{shape:y?[1,g,v,r.outChannels]:[1,r.outChannels,g,v]}});k.push(L);for(var P=0,B=k;P<B.length;P++){var W=B[P];a.disposeIntermediateTensorInfo(W)}return z}var IQ={kernelName:sy,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,l=a.dataFormat,c=a.dilations,p=a.dimRoundingMode,h=_S(l),f=kS(i.shape,o.shape,s,c,u,p,!1,h);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(Rg().getBool("WEBGL_CONV_IM2COL")&&1===i.shape[0])t=NQ({x:i,filter:o,convInfo:f,backend:r});else{var d=new bQ(f);t=r.runWebGLProgram(d,[i,o],"float32")}else t=kQ({x:i,filter:o,convInfo:f,backend:r});var m=WJ({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),m}},SQ=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},TQ=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+c+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+l+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.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 < "+e.outChannels+"; d2++) {\n\n              if ("+i+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},EQ=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,i=e.padInfo.top,o=e.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 < "+e.batchSize+"; b++) {\n          for (int yF = 0; yF < "+e.outDepth+"; yF++) {\n            int xF = wF + yF * "+t+" - "+a+";\n\n            if (xF < 0 || xF >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+i+";\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+e.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    "},CQ=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,l=r-1-e.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 < "+t+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+a+".0;\n\n          if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+t+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.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 < "+e.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var RQ={kernelName:uy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=r.filterShape,p=_S(u),h=kS(a.shape,c,o,1,s,l,!1,p),f=new SQ(h);return n.runWebGLProgram(f,[a,i],"float32")}};var AQ={kernelName:ly,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,l=r.dataFormat,c=r.dimRoundingMode,p=_S(l),h=kS(o,i.shape,s,1,u,c,!1,p),f=new TQ(h);return n.runWebGLProgram(f,[a,i],"float32")}};var _Q={kernelName:cy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,l=NS(a.shape,i.shape,o,u,s),c=new xQ(l);return n.runWebGLProgram(c,[a,i],"float32")}};var FQ={kernelName:py,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,l=NS(a.shape,u,o,1,s),c=new EQ(l);return n.runWebGLProgram(c,[a,i],"float32")}};var DQ={kernelName:hy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=NS(r.inputShape,i.shape,s,1,o),l=new CQ(u);return n.runWebGLProgram(l,[a,i],"float32")}},OQ=AJ({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n"}),MQ={kernelName:fy,backendName:"webgl",kernelFunc:OQ},LQ=AJ({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),zQ={kernelName:dy,backendName:"webgl",kernelFunc:LQ},PQ=function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=o-1+".0",d=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+d+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+d],x=b[0],w=b[1],k=b[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+g+";\n        float width_scale = "+w+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+f+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+k+";\n        if( in_x < 0.0 || in_x > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},BQ={kernelName:vy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,l=r.extrapolationValue,c=new PQ(a.shape,i.shape,s,u,l);return n.runWebGLProgram(c,[a,i,o],"float32")}},WQ=function(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}],this.outputShape=e;var r=e.length,a=t?"0.0":"getX("+UQ(r,"coords")+")",i=e[e.length-1],o="",s="";t?(o=n?"end != "+(i-1):"end != 0",s=n?"end + 1":"end - 1"):(o=n?"end + pow2 < "+i:"end >= pow2",s=n?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        "+GX(r)+" coords = getOutputCoords();\n        int end = "+VQ(r,"coords")+";\n        float val = "+a+";\n        int pow2 = int(pow(2.0, index));\n        if ("+o+") {\n          int idx = "+s+";\n          "+VQ(r,"coords")+" = idx;\n          val += getX("+UQ(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function UQ(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}function VQ(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var GQ={kernelName:my,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse,u=a.shape.length,l=oE([i],u),c=a;null!=l&&(c=JJ({inputs:{x:a},backend:n,attrs:{perm:l}}));var p=uE(1,u)[0];if(p!==u-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(a.shape.length-1)+" but got axis="+i);for(var h=c.shape[p],f=xJ({inputs:{x:c},backend:n}),d=0;d<=Math.ceil(Math.log2(h))-1;d++){var m=new WQ(c.shape,!1,s),v=[[d]],g=f;f=n.runWebGLProgram(m,[f],f.dtype,v),n.disposeIntermediateTensorInfo(g)}if(o){var y=new WQ(c.shape,o,s),b=f;f=n.runWebGLProgram(y,[f],f.dtype),n.disposeIntermediateTensorInfo(b)}if(null!=l){var x=JJ({inputs:{x:f},backend:n,attrs:{perm:sE(l)}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(c),x}return f}};var jQ={kernelName:gy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),l=n.readSync(i.dataId),c=fY(u,l,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}if(2===a.shape.length){var p=n.bufferSync(a),h=n.bufferSync(i),f=dY(p,h,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}},HQ=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,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 / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}var t=e.prototype;return t.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}();var qQ={kernelName:yy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,l=("NHWC"===o?a.shape[2]:a.shape[3])*i,c=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),p=new HQ("NHWC"===o?[s,u,l,c]:[s,c,u,l],i,o);return n.runWebGLProgram(p,[a],a.dtype)}},KQ=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=XX(this.outputShape.length);var i=e.filterHeight,o=e.filterWidth,s=e.outChannels/e.inChannels,u="",l="";n&&(u=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",l="result = activation(result);");var c=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+u+"\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 / "+s+";\n        int q = d2 - d1 * "+s+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+i+"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+o+"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+c+"\n        "+l+"\n        setOutput(result);\n      }\n    "},XQ=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=XX(this.outputShape.length);for(var i=e.outChannels/e.inChannels,o=e.padInfo.left,s=e.strideWidth,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=c,h="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",f=0;f<c;f++)h+="\n          vec4 xTexelC"+2*f+";\n          int xTexelC"+2*f+"Ready;\n          vec4 xTexelC"+(2*f+1)+";\n          int xTexelC"+(2*f+1)+"Ready;\n          vec4 xC"+f+";";h+="\n    for (int r = 0; r < "+l+"; r++) {\n      ";for(var d=0;d<c;d++)h+="\n          xTexelC"+2*d+" = vec4(0.0);\n          xTexelC"+2*d+"Ready = 0;\n          xTexelC"+(2*d+1)+" = vec4(0.0);\n          xTexelC"+(2*d+1)+"Ready = 0;\n          xC"+d+" = vec4(0.0);";h+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var m=0;m<(p+1)/2;m++){var v=2*m;if(h+="\n          xC = xCCorner + "+v*u+";\n          ",1===s){if(v<c&&(o%2==1?(h+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n              ",h+=1===u&&v>0?"\n                xC"+v+" = vec4(xTexelC"+(v-2)+".zw, xTexelC"+v+".xy);\n                ":"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC"+v+" = vec4(previous.zw, xTexelC"+v+".xy);\n                  } else {\n                    xC"+v+" = vec4(0.0, 0.0, xTexelC"+v+".xy);\n                  }\n                  "):h+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                xC"+v+" = xTexelC"+v+";\n                ",v+1<c)){var g=o%2==0?Pv(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(h+="\n                  xCOffset = xC + imod(pads[1], 2) + "+g+";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                    xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC"+(v+1)+".zw = vec2(0.0);\n                    }\n                    xTexelC"+(v+1)+"Ready = 1;\n                  }\n                  ",u>1&&(h+="\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n                      xTexelC"+v+" = getX(batch, xR, xCOffset, d1);\n                      xTexelC"+v+"Ready = 1;\n                    }\n                    "),h+="\n                  xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".xy);\n                  "):h+=1===g?"\n                    xC"+(v+1)+" = xTexelC"+v+";\n                    ":"\n                    xCOffset = xC + "+g+";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                      xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC"+(v+1)+".zw = vec2(0.0);\n                      }\n                      xTexelC"+(v+1)+"Ready = 1;\n                    }\n\n                    xC"+(v+1)+" = xTexelC"+(v+1)+";\n                    "}}else v<c&&(o%2==1?(h+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xCOffset, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                  xTexelC"+(v+1)+" = getX(batch, xR, xC + 1, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xC + 2 >= inDims[1]) {\n                    xTexelC"+(v+1)+".zw = vec2(0.0);\n                  }\n                  xTexelC"+(v+1)+"Ready = 1;\n                }\n\n                xC"+v+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n              ",v+1<c&&(h+="\n                  final = vec4(0.0);\n                  xCOffset = xC + 1 + strides[1];\n                  if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xC"+(v+1)+" = vec4(xTexelC"+(v+1)+".xy, final.xy);\n                ")):(h+="\n                if(xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                xCOffset = xC + strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                  xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC"+(v+1)+".zw = vec2(0.);\n                  }\n                  xTexelC"+(v+1)+"Ready = 1;\n                }\n\n                xC"+v+" = vec4(\n                  xTexelC"+v+".xy, xTexelC"+(v+1)+".xy);\n              ",v+1<c&&(h+="\n                  xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n                ")));v<c&&(h+="\n            wTexel = getW(r, "+v+", d1, q);\n            dotProd += xC"+v+" * vec4(wTexel.xz, wTexel.xz);\n          ",v+1<c&&(h+="\n              wTexel = getW(r, "+(v+1)+", d1, q);\n              dotProd += xC"+(v+1)+" * vec4(wTexel.xz, wTexel.xz);\n            "))}h+="\n    }\n  ",h+="\n      }\n    ";var y="",b="";n&&(y=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+y+"\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 / "+i+";\n        int q = d2 - d1 * "+i+";\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n        vec4 dotProd = vec4(0.000000000000001);\n\n        "+h+"\n\n        vec4 result = dotProd - vec4(0.000000000000001);\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "};var YQ={kernelName:by,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,l=r.dimRoundingMode,c=u;null==c&&(c=[1,1]),Uv(AS(o,c),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p,h=kS(a.shape,i.shape,o,c,s,l,!0);p=Rg().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new XQ(h):new KQ(h);var f=[[h.padInfo.top,h.padInfo.left],[h.strideHeight,h.strideWidth],[h.dilationHeight,h.dilationWidth],[h.inHeight,h.inWidth]];return n.runWebGLProgram(p,[a,i],"float32",f)}},JQ=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.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    "},ZQ=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var QQ={kernelName:xy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=r.filterShape,p=kS(a.shape,c,o,s,u,l,!0),h=new JQ(p);return n.runWebGLProgram(h,[a,i],"float32")}};var $Q={kernelName:wy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=kS(r.inputShape,i.shape,o,s,u,l,!0),p=new ZQ(c);return n.runWebGLProgram(p,[a,i],"float32")}},e$=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "};var t$={kernelName:ky,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=[].concat(r.shape,r.shape),i=Hv(r.shape),o=WJ({inputs:{x:r},backend:n,attrs:{shape:[i]}}),s=new e$(i),u=n.runWebGLProgram(s,[o],o.dtype),l=WJ({inputs:{x:u},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),l}},n$=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo,a=e.strideHeight,i=e.strideWidth,o=e.filterHeight,s=e.filterWidth,u=e.dilationHeight,l=e.dilationWidth,c=r.top,p=r.left;this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float neg_infinity = -3.4e38;\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.w;\n        ivec2 outTopLeftCorner =\n            coords.yz * strides - pads;\n        int hBeg = outTopLeftCorner.x;\n        int wBeg = outTopLeftCorner.y;\n\n        float curVal = neg_infinity;\n        for (int h = 0; h < "+o+"; h++) {\n          int hIn = hBeg + h * "+u+";\n\n          if (hIn >= 0 && hIn < "+t+") {\n            for (int w = 0; w < "+s+"; w++) {\n              int wIn = wBeg + w * "+l+";\n\n              if (wIn >= 0 && wIn < "+n+") {\n                float xVal = getX(batch, hIn, wIn, d1);\n                float wVal = getW(h, w, d1);\n\n                float val = xVal + wVal;\n                if (val > curVal) {\n                  curVal = val;\n                }\n              }\n            }\n          }\n        }\n\n        float result = curVal;\n        setOutput(result);\n      }\n    "};var r$={kernelName:Ny,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,l=a.dilations,c=bS(i.shape,o.shape,s,u,"NHWC",l),p=new n$(c),h=WJ({inputs:{x:t=r.runWebGLProgram(p,[i,o],"float32")},backend:r,attrs:{shape:c.outShape}});return r.disposeIntermediateTensorInfo(t),h}};var a$={kernelName:Ey,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=m_(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;g_(i.length,s,r);for(var u=y_(o,s),l=u.path,c=u.steps,p=c.length,h=null,f=i.length,d=[],m=0;m<p;++m){for(var v,g=Fv(c[m]);!(v=g()).done;){var y=v.value,b=v_(f,s[y]),x=b.permutationIndices,w=b.expandDims,k=void 0;b_(x)?k=r[y]:(k=JJ({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(k));for(var N=k.shape.slice(),I=0;I<w.length;++I)N.splice(w[I],0,1);qv(k.shape,N)||(k=WJ({inputs:{x:k},backend:n,attrs:{shape:N}}),d.push(k)),null===h?h=k:(h=PJ({inputs:{a:k,b:h},backend:n}),d.push(h))}m<p-1&&(l[m]>=0&&(h=XJ({inputs:{x:h},backend:n,attrs:{axis:l[m]-(i.length-f),keepDims:!1}}),d.push(h)),f--)}for(var S=0,T=d;S<T.length;S++){var E=T[S];E!==h&&n.disposeIntermediateTensorInfo(E)}return h}},i$=AJ({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n"}),o$={kernelName:Cy,backendName:"webgl",kernelFunc:i$},s$={kernelName:Ry,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y,i=Rg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bJ("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new yJ("return (b >= 1.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(i,[r,a],r.dtype)}},u$=_J({opSnippet:"return float(a == b);",packedOpSnippet:"\n  return vec4(equal(a, b));\n",dtype:"bool",cpuKernelImpl:gY}),l$={kernelName:_y,backendName:"webgl",kernelFunc:u$},c$=AJ({opSnippet:'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n'}),p$={kernelName:Ay,backendName:"webgl",kernelFunc:c$},h$=AJ({opSnippet:"if (isnan(x)) return x;\n  return exp(x);\n",packedOpSnippet:"\n  vec4 result = exp(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",cpuKernelImpl:yY,dtype:"float32"}),f$={kernelName:Fy,backendName:"webgl",kernelFunc:h$};function d$(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.dim,i=t.input,o=i.shape.length,s=i.shape.slice(),u=a;return a<0&&(Uv(-(o+1)<=a,(function(){return"Axis must be in the interval ["+-(o+1)+", "+o+"]"})),u=o+a+1),s.splice(u,0,1),WJ({inputs:{x:i},backend:r,attrs:{shape:s}})}var m$={kernelName:Dy,backendName:"webgl",kernelFunc:d$},v$="return exp(x) - 1.0;",g$=AJ({opSnippet:v$,packedOpSnippet:v$,cpuKernelImpl:bY}),y$={kernelName:Oy,backendName:"webgl",kernelFunc:g$},b$=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var a,i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,o=n?r+".0":"1.0";if("real"===e)a="return real * expR - imag * expI;";else{if("imag"!==e)throw new Error('FFT component must be either "real" or "imag", got '+e+".");a="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+a+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+o+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "};function x$(e,t,n){var r=n.texData.get(e.dataId),a=Hv(e.shape),i=e.shape[e.shape.length-1],o=WJ({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new b$("real",s,t),l=new b$("imag",s,t),c=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:s},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:s}],p=n.runWebGLProgram(u,c,"float32"),h=n.runWebGLProgram(l,c,"float32"),f=kJ({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);var d=WJ({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),d}var w$={kernelName:My,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return x$(t.input,!1,n)}},k$=function(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "};function N$(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||pg(a))){var o=tg(i,Hv(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new k$(r,a),u=[[a]];return t.runWebGLProgram(s,[],i,u)}var I$,S$={kernelName:Ly,backendName:"webgl",kernelFunc:N$},T$=function(e){this.variableNames=["Image"],this.outputShape=[];var t=e[2];this.outputShape=e,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = "+t+" - x - 1;\n          float outputValue;\n          if(coordX >= 0 && coordX < "+t+") {\n            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n          } else {\n            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    "},E$={kernelName:zy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new T$(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},C$="return floor(x);",R$=AJ({opSnippet:C$,packedOpSnippet:C$,cpuKernelImpl:xY}),A$={kernelName:Py,backendName:"webgl",kernelFunc:R$},_$=_J({opSnippet:"\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",packedOpSnippet:"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n",dtype:"int32"}),F$={kernelName:By,backendName:"webgl",kernelFunc:_$},D$=function(e){this.variableNames=["A"];var t=EX(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},O$=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=EX(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+t.output+" = result;\n      }\n    "},M$={kernelName:_x,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,u=o?[a.videoWidth,a.videoHeight]:[a.width,a.height],l=u[0],c=u[1],p=[c,l],h=[c,l,i];(s||o)&&(null==I$&&(I$=document.createElement("canvas").getContext("2d")),I$.canvas.width=l,I$.canvas.height=c,I$.drawImage(a,0,0,l,c),a=I$.canvas);var f=n.makeTensorInfo(p,"int32");n.texData.get(f.dataId).usage=qK.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);var d=Rg().getBool("WEBGL_PACK")?new O$(h):new D$(h),m=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),m}};var L$={kernelName:Ox,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,l=a.strides,c=a.pad,p=a.dataFormat,h=a.dilations,f=a.dimRoundingMode,d=a.activation,m=a.leakyreluAlpha,v=_S(p),g=kS(i.shape,o.shape,l,h,c,f,!1,v),y=[];if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(Rg().getBool("WEBGL_CONV_IM2COL")&&1===i.shape[0])t=NQ({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});else{var b=null!=s,x=null!=u,w="leakyrelu"===d,k=d?FJ(d,!1):null,N=new bQ(g,b,k,x,w),I=[i,o];if(s&&I.push(s),u&&I.push(u),w){var S=r.makeTensorInfo([],"float32",Rw(m,"float32"));I.push(S),y.push(S)}t=r.runWebGLProgram(N,I,"float32")}else t=kQ({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});var T=WJ({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),T}};var z$={kernelName:Mx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dilations,p=r.dimRoundingMode,h=r.activation,f=r.leakyreluAlpha,d=[],m=c;null==m&&(m=[1,1]),Uv(AS(u,m),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+u+" and dilations '"+m+"'"}));var v,g=kS(a.shape,i.shape,u,m,l,p,!0),y=Rg().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=h?FJ(h,y):null,x=[a,i],w=null!=o,k=null!=s,N="leakyrelu"===h;if(w&&x.push(o),k&&x.push(s),N){var I=n.makeTensorInfo([],"float32",Rw(f,"float32"));x.push(I),d.push(I)}v=y?new XQ(g,w,b,k,N):new KQ(g,w,b,k,N);var S=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=n.runWebGLProgram(v,x,"float32",S);return d.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),T}},P$=function(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;var r=GX(t.length),a=GX(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};var B$={kernelName:Vy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=Hv(r.shape),u=mI(r,a),l=u[0],c=u[1],p=u[2],h=u[3],f=WJ({inputs:{x:a},backend:n,attrs:{shape:[c,o]}}),d=WJ({inputs:{x:r},backend:n,attrs:{shape:[Hv(r.shape)/p,p]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var m=n.readSync(a.dataId),v=n.bufferSync(r),g=wY(m,v,r.dtype,c,o,p,h,r.shape,s);return n.makeTensorInfo(l,r.dtype,g.values)}var y=new P$(o,h,[c,p]),b=n.runWebGLProgram(y,[d,f],d.dtype),x=WJ({inputs:{x:b},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},W$=function(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;var n=GX(this.rank),r=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push(""+n[a]);return r.join()}(e);this.userCode="\n      void main() {\n        "+n+" resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < "+e[2]+") ? 1.0 : 0.0;\n        setOutput(inBounds * getA("+r+"));\n      }\n    "};function U$(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=Qv(o,a.shape)[0];Rg().get("DEBUG")&&function(){for(var e=n.readSync(i.dataId),t=a.shape[u],r=function(n){var r=e[n];Uv(r<=t-1&&r>=0,(function(){return"GatherV2: the index value "+r+" is not in [0, "+(t-1)+"]"}))},o=0;o<e.length;++o)r(o)}();var l=L_(a,i,u,s),c=Hv(i.shape),p=[],h=WJ({inputs:{x:a},backend:n,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=WJ({inputs:{x:i},backend:n,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(h),p.push(f);var d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var m=n.bufferSync(f),v=n.bufferSync(h),g=kY(v,m,d);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(l.outputShape,g.dtype,g.values)}var y=new W$(h.shape,d),b=n.runWebGLProgram(y,[h,f],h.dtype);p.push(b);var x=WJ({inputs:{x:b},backend:n,attrs:{shape:l.outputShape}});return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}var V$={kernelName:Uy,backendName:"webgl",kernelFunc:U$},G$=_J({opSnippet:"return float(a > b);",packedOpSnippet:"\n  return vec4(greaterThan(a, b));\n",cpuKernelImpl:NY,dtype:"bool"}),j$={kernelName:Gy,backendName:"webgl",kernelFunc:G$},H$=_J({opSnippet:"return float(a >= b);",packedOpSnippet:"\n  return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:IY}),q$={kernelName:jy,backendName:"webgl",kernelFunc:H$};var K$={kernelName:qy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return x$(t.input,!0,n)}},X$=AJ({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),Y$={kernelName:Xy,backendName:"webgl",kernelFunc:X$},J$=AJ({opSnippet:"return float(isinf(x));",dtype:"bool"}),Z$={kernelName:Yy,backendName:"webgl",kernelFunc:J$},Q$=AJ({opSnippet:"return float(isnan(x));",dtype:"bool"}),$$={kernelName:Jy,backendName:"webgl",kernelFunc:Q$},e0=_J({opSnippet:"return float(a < b);",packedOpSnippet:"\n  return vec4(lessThan(a, b));\n",cpuKernelImpl:SY,dtype:"bool"}),t0={kernelName:Qy,backendName:"webgl",kernelFunc:e0},n0=_J({opSnippet:"return float(a <= b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:TY,dtype:"bool"}),r0={kernelName:$y,backendName:"webgl",kernelFunc:n0};var a0={kernelName:eb,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=EY(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},i0=AJ({opSnippet:"if (isnan(x)) return x;\n  return x < 0.0 ? 0./0. : log(x);\n",packedOpSnippet:"\n  vec4 result = log(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n  return result;\n",cpuKernelImpl:CY}),o0={kernelName:tb,backendName:"webgl",kernelFunc:i0},s0=AJ({opSnippet:"if (isnan(x)) return x;\n  return log(1.0 + x);\n"}),u0={kernelName:nb,backendName:"webgl",kernelFunc:s0},l0=_J({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),c0={kernelName:rb,backendName:"webgl",kernelFunc:l0},p0=AJ({opSnippet:"return float(!(x >= 1.0));"}),h0={kernelName:ab,backendName:"webgl",kernelFunc:p0},f0=_J({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),d0={kernelName:ib,backendName:"webgl",kernelFunc:f0},m0=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "},v0=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+i+";\n        setOutput(result);\n      }\n    "},g0={kernelName:sb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta,l=Rg().getBool("WEBGL_PACK_NORMALIZATION")?new v0(a.shape,i,o,s,u):new m0(a.shape,i,o,s,u);return n.runWebGLProgram(l,[a],a.dtype)}},y0=function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},b0={kernelName:ub,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,l=r.alpha,c=r.beta,p=new y0(a.shape,s,u,l,c);return n.runWebGLProgram(p,[a,i,o],a.dtype)}};function x0(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=a.shape.length,u=Qv(i,a.shape),l=u,c=oE(l,s),p=null!=c,h=n.shouldExecuteOnCPU([a]),f=a;if(p){if(h){for(var d=n.texData.get(f.dataId).values,m=new Array(s),v=0;v<m.length;v++)m[v]=a.shape[c[v]];var g=QY(d,a.shape,a.dtype,c,m);f=n.makeTensorInfo(m,a.dtype),n.texData.get(f.dataId).values=g}else f=KJ(a,c,n);l=uE(l.length,s)}iE("max",l,s);var y,b=rE(f.shape,l),x=b[0],w=b[1],k=x;if(o&&(k=aE(x,u)),h){var N=n.texData.get(f.dataId).values,I=RY(N,Hv(w),k,a.dtype);y=n.makeTensorInfo(k,a.dtype),n.texData.get(y.dataId).values=I}else y=function(e,t,n,r){var a=Hv(t),i=WJ({inputs:{x:e},attrs:{shape:[Hv(e.shape)/a,a]},backend:r}),o=jJ(i,e.dtype,"max",r),s=WJ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,w,k,n);return p&&n.disposeIntermediateTensorInfo(f),y}var w0={kernelName:lb,backendName:"webgl",kernelFunc:x0},k0=_J({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(a, b));\n  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",cpuKernelImpl:AY}),N0={kernelName:cb,backendName:"webgl",kernelFunc:k0};var I0={kernelName:pb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;SX(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Uv(AS(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=xS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&qv(l.inShape,l.outShape))return xJ({inputs:{x:a},backend:n});var c=new _Z(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var S0={kernelName:fb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=wS(a.shape,i,o,[1,1,1],s,l,u),p=new FZ(c,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}},T0=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+i+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},E0=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=s-1-e.padInfo.front,p=u-1-e.padInfo.top,h=l-1-e.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var C0={kernelName:db,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,l=r.dimRoundingMode,c=wS(i.shape,o,s,[1,1,1],u,l),p=new FZ(c,"max",!0),h=n.runWebGLProgram(p,[i],i.dtype),f=new E0(c),d=n.runWebGLProgram(f,[a,h],i.dtype);return n.disposeIntermediateTensorInfo(h),d}};var R0={kernelName:hb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;SX([i,t.output],"maxPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=xS(o.shape,s,u,1,l,c),h=new _Z(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),d=new T0(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var A0={kernelName:mb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,l=r;Uv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Uv(AS(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p=xS(a.shape,i,o,c,s),h=function(e,t,n,r){var a=new _Z(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new _Z(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,p,l);return[h[0],h[1]]}};var _0={kernelName:vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.keepDims,o=n.axis,s=r,u=a.shape.length,l=Qv(o,a.shape),c=l,p=oE(c,u),h=null!=p,f=s.shouldExecuteOnCPU([a]),d=[],m=a;if(h){if(f){for(var v=s.texData.get(m.dataId).values,g=new Array(u),y=0;y<g.length;y++)g[y]=a.shape[p[y]];var b=QY(v,a.shape,a.dtype,p,g);m=s.makeTensorInfo(g,a.dtype),s.texData.get(m.dataId).values=b}else m=KJ(a,p,s);d.push(m),c=uE(c.length,u)}iE("sum",c,u);var x=rE(m.shape,c),w=x[0],k=x[1],N=w;i&&(N=aE(w,l));for(var I=function(e,t,n,r){var a=Hv(t),i=WJ({inputs:{x:e},attrs:{shape:[Hv(e.shape)/a,a]},backend:r}),o=jJ(i,"float32","mean",r),s=WJ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(m,k,N,s),S=0,T=d;S<T.length;S++){var E=T[S];s.disposeIntermediateTensorInfo(E)}return I}};var F0={kernelName:gb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Qv(i,a.shape),l=u,c=oE(l,s),p=a;null!=c&&(p=JJ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=uE(l.length,a.shape.length)),iE("min",l,s);var h,f=rE(p.shape,l),d=f[0],m=WJ({inputs:{x:p},backend:n,attrs:{shape:[-1,Hv(f[1])]}}),v=jJ(m,m.dtype,"min",n);return h=WJ(o?{inputs:{x:v},backend:n,attrs:{shape:aE(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},D0=_J({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",packedOpSnippet:"\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",cpuKernelImpl:_Y}),O0={kernelName:yb,backendName:"webgl",kernelFunc:D0},M0=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=GX(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),u="reflect"===n?0:1;this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        for (int i = 0; i < "+r+"; i++) {\n          if (outC[i] < start[i]) {\n            outC[i] = start[i] * 2 - outC[i] - "+u+";\n          } else if(outC[i] >= end[i]) {\n            outC[i] = (end[i] - 1) * 2 - outC[i] + "+u+";\n          }\n        }\n        "+a+" coords = outC - start;\n        setOutput(getX("+s+"));\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start) {\n            outC = start * 2 - outC - "+u+";\n          } else if(outC >= end) {\n            outC = (end - 1) * 2 - outC + "+u+";\n          }\n          setOutput(getX(outC - start));\n        }\n      "},L0=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=GX(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=tJ("rc",r),u=tJ("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p="reflect"===n?0:1,h="";if(1===r){var f="\n        "+a+" source = rc;\n        if (source < start) {\n          source = start * 2 - source - "+p+";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + "+p+";\n        }\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+f+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+f+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      "}else{var d="\n        "+a+" source = rc;\n        "+a+" lt = "+a+"(lessThan(source, start));\n        "+a+" gte = "+a+"(greaterThanEqual(source, end));\n        "+a+" orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - "+p+") +\n                gte * ((end - 1) * 2 - source + "+p+");\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+d+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+d+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n        rc = outputLoc;\n        "+s[r-2]+" += 1;\n        if("+s[r-2]+" < "+this.outputShape[r-2]+") {\n          "+d+"\n          result[2] = getChannel(getX("+u.join()+"), "+c+");\n          "+s[r-1]+" += 1;\n          if("+l+") {\n            "+d+"\n            result[3] = getChannel(getX("+u.join()+"), "+c+");\n          }\n        }\n      "}this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "},z0={kernelName:bb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode,s=Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new L0(a.shape,i,o):new M0(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},P0=_J({opSnippet:"if (b == 0.0) return NAN;\n  return mod(a, b);",packedOpSnippet:"\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"}),B0={kernelName:xb,backendName:"webgl",kernelFunc:P0},W0=function(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode="\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 < "+(t-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("+(t-1)+"));\n      }\n    "},U0=_J({opSnippet:"\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",checkOutOfBounds:!0}),V0={kernelName:Ty,backendName:"webgl",kernelFunc:U0},G0="return a - b;",j0=_J({opSnippet:G0,packedOpSnippet:G0,supportsComplex:!0,cpuKernelImpl:YY}),H0={kernelName:bx,backendName:"webgl",kernelFunc:j0};function q0(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=Qv([r.dim],a.shape),o=x0({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=aE(o.shape,i),u=WJ({inputs:{x:o},backend:n,attrs:{shape:s}}),l=j0({inputs:{a:a,b:u},backend:n}),c=h$({inputs:{x:l},backend:n}),p=XJ({inputs:{x:c},backend:n,attrs:{axis:i,keepDims:!1}}),h=WJ({inputs:{x:p},backend:n,attrs:{shape:s}}),f=U0({inputs:{a:c,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var K0={kernelName:sx,backendName:"webgl",kernelFunc:q0};var X0={kernelName:wb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.numSamples,o=r.seed,s=r.normalized,u=s?a:q0({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new W0(l,c,i),h=[[o]],f=n.runWebGLProgram(p,[u],"int32",h);return s||n.disposeIntermediateTensorInfo(u),f}};var Y0={kernelName:Nb,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])){var i=r.texData.get(a.dataId),o=DY(i.values,a.shape,a.dtype),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=Rg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new hJ(a.shape,"\n  vec4 result = -x;\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"):new uJ(a.shape,"if (isnan(x)) return x;\n  return -x;\n"),r.runWebGLProgram(t,[a],a.dtype)}},J0=zR;var Z0={kernelName:Sb,backendName:"webgl",kernelFunc:function(e){Lx("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=J0(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},Q0=PR;var $0={kernelName:Tb,backendName:"webgl",kernelFunc:function(e){Lx("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.padToMaxOutputSize,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=Q0(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},e1=BR;var t1={kernelName:Eb,backendName:"webgl",kernelFunc:function(e){Lx("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=e1(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}},n1=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],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    "},r1={kernelName:Rb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.depth,o=r.onValue,s=r.offValue,u=Hv(a.shape),l=new n1(u,i,o,s),c=WJ({inputs:{x:a},backend:n,attrs:{shape:[u]}}),p=n.runWebGLProgram(l,[c],a.dtype);n.disposeIntermediateTensorInfo(c);var h=WJ({inputs:{x:p},backend:n,attrs:{shape:[].concat(a.shape,[i])}});return n.disposeIntermediateTensorInfo(p),h}};function a1(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=$Z({inputs:{input:r},backend:n}),i=a1({inputs:{x:a},backend:n}),o=dQ({inputs:{input:r},backend:n}),s=a1({inputs:{x:o},backend:n}),u=kJ({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return N$({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var i1={kernelName:Rx,backendName:"webgl",kernelFunc:a1};var o1={kernelName:Cb,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=$Z({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=dQ({inputs:{input:a},backend:r}),u=a1({inputs:{x:s},backend:r}),l=kJ({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return N$({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var s1={kernelName:Ab,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return d$({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Vv(a,e.shape,"All tensors passed to stack must have matching shapes"),Uv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=gQ({inputs:t.map((function(e){var t=d$({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}},u1=function(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=GX(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(value);\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(value);\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},l1=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));for(var r=e.length,a=GX(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=tJ("rc",r),u=tJ("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float(value);\n        } else {\n          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},c1=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Hv(a.shape))return N$({backend:n,attrs:{shape:i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),value:o,dtype:a.dtype}});var s=Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new l1(a.shape,i,o):new u1(a.shape,i,o),u=[[o]];return n.runWebGLProgram(s,[a],a.dtype,u)},p1={kernelName:_b,backendName:"webgl",kernelFunc:c1},h1=_J({opSnippet:"\n  if(a < 0.0 && floor(b) < b){\n    return NAN;\n  }\n  if (b == 0.0) {\n    return 1.0;\n  }\n  return (round(mod(b, 2.0)) != 1) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),f1={kernelName:Fb,backendName:"webgl",kernelFunc:h1};var d1={kernelName:Ob,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,l=[],c=Qv(o,i.shape),p=c,h=oE(p,u),f=i;if(null!=h&&(f=JJ({inputs:{x:i},backend:r,attrs:{perm:h}}),p=uE(p.length,u),l.push(f)),iE("prod",p,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,m=MY(f.shape,f.dtype,d,p),v=m.outVals,g=m.outShape,y=m.outDtype;t=r.makeTensorInfo(g,y,v)}else{var b=rE(f.shape,p),x=b[0],w=Hv(b[1]),k=WJ({inputs:{x:f},backend:r,attrs:{shape:[-1,w]}}),N=jJ(k,nk(i.dtype),"prod",r);t=WJ({inputs:{x:N},backend:r,attrs:{shape:x}}),l.push(k),l.push(N)}if(s){l.push(t);var I=aE(t.shape,c);t=WJ({inputs:{x:t},backend:r,attrs:{shape:I}})}return l.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}},m1=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=LY(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},v1={kernelName:Mb,backendName:"webgl",kernelFunc:m1},g1=AJ({opSnippet:"return 1.0 / x;"}),y1={kernelName:zb,backendName:"webgl",kernelFunc:g1},b1=AJ({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),x1={kernelName:Pb,backendName:"webgl",kernelFunc:b1},w1=AJ({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),k1={kernelName:jb,backendName:"webgl",kernelFunc:w1},N1=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+s+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = "+l+";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},I1=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+",\n          "+c[1]/p[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n                                     "+s+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = "+l+";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(u-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    "};var S1={kernelName:Vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size,u=s[0],l=s[1],c=Rg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new I1(a.shape,u,l,i,o):new N1(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],"float32")}},T1=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(r-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), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "};var E1={kernelName:Gb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new T1(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},C1=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+s+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = "+l+";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},R1=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+",\n          "+c[1]/p[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n                                     "+s+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = "+l+";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(u-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        vec4 newValue = vec4(\n          getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n          hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n        setOutput(newValue);\n      }\n    "};var A1={kernelName:Wb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size,u=s[0],l=s[1],c=Rg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new R1(a.shape,u,l,i,o):new C1(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],a.dtype)}},_1=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+s[0]+") *\n                (float(dyR) / float("+u[0]+"));\n\n            float sourceFracCol =\n                float("+s[1]+") *\n                  (float(dyC) / float("+u[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+r+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 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    "};var F1={kernelName:Ub,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new _1(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},D1=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),a=GX(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "},O1=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=tJ("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=GX(n);function s(n){var r=e.map((function(r,a){return function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - "+r[n]+" - 1":""+r[n]}(a,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+e[0]+" - rc - 1),\n            "+e[0]+" - rc - 1);\n          if("+a+"){\n              result.g = getChannel(getX("+e[0]+" - (rc  + 1) - 1),\n                "+e[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(e){return s(e)}(r.slice())+";\n          if("+a+"){\n            result.g = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",s(e)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(e){return e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            if("+a+") {\n              result.a = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "};var M1={kernelName:Hb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=Qv(i,a.shape);if(0===o)return xJ({inputs:{x:a},backend:n});var u=Rg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new O1(a.shape,s):new D1(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},L1=function(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var n=e[1],r=e[2];this.outputShape=e;var a="";a="number"==typeof t?"float outputValue = "+t.toFixed(2)+";":"\n        vec3 fill = vec3("+t.join(",")+");\n        float outputValue = fill[coords[3]];",this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - params[0]) * params[3] -\n            (float(y) - params[1]) * params[2];\n          float coordYFloat = (float(x) - params[0]) * params[2] +\n            (float(y) - params[1]) * params[3];\n          int coordX = int(round(coordXFloat + params[0]));\n          int coordY = int(round(coordYFloat + params[1]));\n          "+a+"\n          if(coordX >= 0 && coordX < "+r+" && coordY >= 0 && coordY < "+n+") {\n            outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    "},z1={kernelName:Fx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,l=new L1(a.shape,o),c=HA(s,a.shape[1],a.shape[2]),p=[[c[0],c[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(l,[a],a.dtype,p)}},P1=AJ({opSnippet:"\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"}),B1={kernelName:qb,backendName:"webgl",kernelFunc:P1},W1=AJ({opSnippet:"return inversesqrt(x);",cpuKernelImpl:zY}),U1={kernelName:Kb,backendName:"webgl",kernelFunc:W1},V1=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=GX(a.length),u=GX(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; 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      "};var G1={kernelName:Xb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=bI(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,f=[h/c,c];if(0===h)return n.makeTensorInfo(o,a.dtype);var d=WJ({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=WJ({inputs:{x:i},backend:n,attrs:{shape:[l,c]}}),v=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new V1(l,u,d.shape.length,m.shape.length,p,f),y=n.runWebGLProgram(g,[m,d,v],m.dtype),b=WJ({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(v),b}},j1=function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=GX(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "};var H1={kernelName:Yb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new j1(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],tk(a.dtype,i.dtype))}},q1=AJ({opSnippet:"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n"}),K1={kernelName:Jb,backendName:"webgl",kernelFunc:q1},X1=AJ({opSnippet:"if (isnan(x)) return x;\n  return 1.0 / (1.0 + exp(-1.0 * x));\n",packedOpSnippet:"\n  vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",cpuKernelImpl:PY}),Y1={kernelName:tx,backendName:"webgl",kernelFunc:X1},J1=AJ({opSnippet:"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n"}),Z1={kernelName:ex,backendName:"webgl",kernelFunc:J1},Q1=AJ({opSnippet:"if (isnan(x)) return x;\n  return sin(x);\n"}),$1={kernelName:Qb,backendName:"webgl",kernelFunc:Q1},e2=AJ({opSnippet:"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n"}),t2={kernelName:$b,backendName:"webgl",kernelFunc:e2},n2=AJ({opSnippet:"\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"}),r2={kernelName:nx,backendName:"webgl",kernelFunc:n2},a2={kernelName:ix,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.paddings;Uv(a.shape.length<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=[[0,0]];u.push.apply(u,o);for(var l=1+i.length;l<a.shape.length;++l)u.push([0,0]);var c=[],p=c1({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),h=qA(p.shape,i,s,!1),f=KA(h.length,i.length,!1),d=XA(p.shape,i,s,!1),m=WJ({inputs:{x:p},backend:n,attrs:{shape:h}}),v=JJ({inputs:{x:m},backend:n,attrs:{perm:f}}),g=WJ({inputs:{x:v},backend:n,attrs:{shape:d}});return c.push(p),c.push(m),c.push(v),c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var i2={kernelName:ux,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.indices,a=t.values,i=t.denseShape,o=t.defaultValue;if(1!==i.shape.length)throw new Error("Dense shape must be a vector, saw:\n         "+i.shape);if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n         "+r.shape);if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n         "+a.shape);if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        "+o.shape);var s=n.readSync(r.dataId),u=n.readSync(a.dataId),l=n.readSync(i.dataId),c=n.readSync(o.dataId)[0],p=UY(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var o2={kernelName:lx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.inputIndices,a=t.inputShape,i=t.newShape;if(2!==r.shape.length)throw new Error("Input indices should be a matrix but received shape "+r.shape);if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape "+a.shape);if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape "+i.shape);var o=Array.from(n.readSync(a.dataId)),s=n.readSync(r.dataId),u=Array.from(n.readSync(i.dataId)),l=VY(s,r.shape,r.dtype,o,u),c=l[0],p=l[1],h=l[2];return[n.makeTensorInfo(p,r.dtype,c),n.makeTensorInfo([h.length],i.dtype,new Int32Array(h))]}};var s2={kernelName:cx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n              "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n              "+i.shape);var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=GY(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var u2={kernelName:px,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n             "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n             "+i.shape);var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=GY(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var l2={kernelName:hx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sparseIndices,i=t.sparseValues,o=t.defaultValue,s=r.outputShape,u=bI(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.strides,h=u.outputSize,f=new V1(c,l,a.shape.length,i.shape.length,p,[h,1],!1),d=n.runWebGLProgram(f,[i,a,o],i.dtype),m=WJ({inputs:{x:d},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(d),m}};var c2={kernelName:ox,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=Qv(r.axis,a.shape)[0],s=w_(a,i,o),u=a.shape.length,l=new Array(u).fill(0),c=a.shape.slice();return s.map((function(e){var t=[].concat(c);t[o]=e;var r=qZ({inputs:{x:a},backend:n,attrs:{begin:l,size:t}});return l[o]+=e,r}))}},p2="return sqrt(x);",h2=AJ({opSnippet:p2,packedOpSnippet:p2,cpuKernelImpl:jY}),f2={kernelName:rx,backendName:"webgl",kernelFunc:h2},d2={kernelName:dx,backendName:"webgl",kernelFunc:AJ({opSnippet:"return x * x;"})},m2="return (a - b) * (a - b);",v2=_J({opSnippet:m2,packedOpSnippet:m2}),g2={kernelName:fx,backendName:"webgl",kernelFunc:v2};var y2={kernelName:Ax,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=lJ+"\n    return x > 0.0 ? 1.0 : float("+n.alpha+");\n  ",o=new uJ(a.shape,i);return r.runWebGLProgram(o,[a],a.dtype)}},b2=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=GX(n.length),i=GX(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(e,t){return s++,1===n.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(s-1)+"] * strides["+t+"] + begin["+t+"]"})).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+e+");\n      "+a+" strides = "+a+"("+t+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "};var x2={kernelName:mx,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.begin,s=a.end,u=a.strides,l=a.beginMask,c=a.endMask,p=a.ellipsisMask,h=a.newAxisMask,f=a.shrinkAxisMask,d=OI(i.shape,o,s,u,l,c,p,h,f),m=d.finalShapeSparse,v=d.finalShape,g=d.isIdentity,y=d.sliceDim0,b=d.isSimpleSlice,x=d.begin,w=d.end,k=d.strides;if(g)t=WJ({inputs:{x:i},backend:r,attrs:{shape:v}});else if(y||b){Uv(i.shape.length>=1,(function(){return"Input must have rank at least 1, got: "+i.shape.length}));var N=kI(x,w,k),I=qZ({inputs:{x:i},backend:r,attrs:{begin:x,size:N}});t=WJ({inputs:{x:I},backend:r,attrs:{shape:v}}),r.disposeIntermediateTensorInfo(I)}else{if(r.shouldExecuteOnCPU([i])){var S=r.readSync(i.dataId),T=_N(i.shape,i.dtype,S),E=HY(m,T,k,x);t=r.makeTensorInfo(v,i.dtype,E.values)}else{var C=new b2(x,k,m);t=r.runWebGLProgram(C,[i],i.dtype)}}var R=WJ({inputs:{x:t},backend:r,attrs:{shape:v}});return r.disposeIntermediateTensorInfo(t),R}};var w2={kernelName:vx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,l=r.preserveShortSequences,c=t.data,p=t.dataSplits,h=n.readSync(c.dataId),f=n.readSync(p.dataId),d=qY(h,f,a,i,o,s,u,l),m=d[0],v=d[1];return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(p.shape,"int32",v)]}};var k2={kernelName:gx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.skipEmpty,a=t.input,i=t.delimiter;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(1!==a.shape.length)throw new Error("Input must be a vector, got shape: "+a.shape);if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: "+i.shape);var o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=KY(o,s,r),l=u[0],c=u[1],p=u[2],h=c.length;return[n.makeTensorInfo([h,2],"int32",l),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(p))]}};var N2={kernelName:yx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.numBuckets,a=t.input;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");var i=n.readSync(a.dataId),o=XY(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},I2=AJ({opSnippet:"return tan(x);"}),S2={kernelName:xx,backendName:"webgl",kernelFunc:I2},T2=AJ({opSnippet:"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"}),E2=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=GX(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "};function C2(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reps;if("string"===a.dtype||a.shape.length>5){var o=n.readSync(a.dataId),s="string"===a.dtype?o.map((function(e){return Ow(e)})):o,u=_N(a.shape,a.dtype,s),l=JY(u,i);return n.makeTensorInfo(l.shape,l.dtype,l.values)}var c=new E2(a.shape,i);return n.runWebGLProgram(c,[a],a.dtype)}var R2=function(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode="\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // We compare elements pair-wise within a group of size 2 * inc.\n         // The comparing rule for each group alternates between ascending\n         // and descending. Within each group, we compare each pair at\n         // positions i and i+inc. To decide whether an element at position i\n         // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n         // inc, it is in the first half of the group, we denote it as x0,\n         // otherwise we denote it as x1.\n         // For example, as shown in the Bitonic top K paper referenced above,\n         // Figure5(a) shows that element[1] is in the\n         // second half of the group when group size is 2, but it is in the\n         // first half of the group when group size is 4.\n\n         bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n         int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n         float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n         float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n         // Denotes which direction indices are in (ascending or descending).\n         bool reverse = imod(elemIdx, 2 * dir) >= dir;\n         bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n         if (reverse == isGreater) { // Elements in opposite order of direction\n           int iTemp = i0;\n           i0 = i1;\n           i1 = iTemp;\n         }\n         if (isFirstInPair) {\n            setOutput(float(i0));\n         } else {\n            setOutput(float(i1));\n         }\n       }\n     "},A2=function(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode="\n    void main() {\n         // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // The output size is half of the previous size.\n         // If the previous sequence is | | | | _ _ _ _  | | | |  _ _ _ _ (k=4),\n         // we only need to output the indices at positions |, the indices at\n         // positions _ can be thrown away, see Figure5(b) After Phase 2\n         // (Merge phase) in the Bitonic Top K paper referenced above.\n         // For example, the paper shows we only need to output the orange bars.\n         // The output sequence should look like this | | | | | | | |.\n         // Because the sequence is halved, to map the output index back\n         // to the previous sequence to find the corresponding value,\n         // we need to double the index. When we double the index,\n         // we basically interpolate a position, so 2i looks like\n         // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n         // of each 2k positions by - elemIdx % k. E.g. for output at\n         // index 4,5,6,7, we want to get the corresponding element at\n         // original index 8,9,10,11, for output at index 8,9,10,11,\n         // we want to get the corresponding element at original index\n         // 16,17,18,19, so on and so forth.\n\n         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n         float x0 = getX(batch, i0);\n         float x1 = i1 < n ? getX(batch, i1) : x0;\n\n         setOutput(x0 >= x1 ? float(i0) : float(i1));\n       }\n     "};function _2(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function F2(e){for(var t=1;t<e;)t*=2;return t}var D2=function(e,t,n,r,a,i){this.variableNames=["Image","Transforms"],this.outputShape=i;var o,s="nearest"===n?1:2;switch(r){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if("+o+" == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    if (inCoord < sz2) {\n                      inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n                      inCoord;\n                    }\n                    inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    inCoord -= sz2 * float(int(float(inCoord / sz2)));\n                    if (inCoord >= len) {\n                      inCoord = sz2 - inCoord - 1.0;\n                    }\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if ("+o+" == 3) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if ("+o+" == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < "+e+" && 0 <= coordX && coordX < "+t+") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float("+a+");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float("+a+");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float("+t+"));\n                float mapY = mapCoord(inY, float("+e+"));\n\n                if ("+s+" == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        "};var O2=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "};for(var M2=0,L2=[$J,tZ,rZ,iZ,uZ,pZ,hZ,fZ,bZ,xZ,kZ,IZ,TZ,CZ,AZ,DZ,OZ,zZ,PZ,BZ,VZ,XZ,YZ,JZ,tQ,aQ,sQ,NJ,cQ,yQ,IQ,RQ,AQ,_Q,FQ,DQ,MQ,zQ,BQ,GQ,jQ,qQ,YQ,QQ,$Q,t$,r$,a$,o$,s$,l$,p$,f$,m$,y$,w$,S$,E$,A$,F$,M$,L$,z$,B$,V$,j$,q$,wJ,K$,mQ,Y$,Z$,$$,TJ,t0,r0,a0,o0,u0,c0,h0,d0,g0,b0,w0,N0,I0,S0,C0,R0,A0,_0,F0,O0,z0,B0,X0,BJ,Y0,Z0,$0,t1,QZ,r1,o1,s1,p1,f1,RJ,d1,v1,eQ,V0,y1,x1,k1,UJ,S1,E1,A1,F1,M1,z1,B1,U1,G1,H1,K1,Y1,Z1,$1,t2,KZ,K0,r2,a2,i2,o2,s2,u2,l2,c2,f2,d2,g2,y2,x2,w2,k2,N2,H0,YJ,S2,{kernelName:wx,backendName:"webgl",kernelFunc:T2},{kernelName:kx,backendName:"webgl",kernelFunc:C2},{kernelName:Nx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted,s=Rg().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=Rg().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),l=a.shape,c=l[l.length-1];if(n.shouldExecuteOnCPU([a])||c<s||i>u){var p=n.readSync(a.dataId),h=ZY(p,l,a.dtype,i,o),f=h[0],d=h[1];return[n.makeTensorInfo(f.shape,f.dtype,f.values),n.makeTensorInfo(d.shape,d.dtype,d.values)]}if(0===i)return l[l.length-1]=0,[n.makeTensorInfo(l,a.dtype,[]),n.makeTensorInfo(l,"int32",[])];if(1===c)return[a,N$({attrs:{shape:l,dtype:"int32",value:0},backend:n})];var m=n.texData.get(a.dataId),v=null!==m&&m.isPacked,g=v?n.unpackTensor(a):a,y=Hv(l)/c,b=WJ({inputs:{x:g},attrs:{shape:[y,c]},backend:n});v&&_2(n,g);for(var x=F2(i),w=F2(c),k=null,N=function(){return null===k?[b,b]:[b,k]},I=function(e,t,r){var a=N(),i=new R2(r),o=[[c],[null===k?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=k;k=n.runWebGLProgram(i,a,"int32",o),_2(n,s)},S=1;S<x;S*=2)for(var T=2*S,E=S;E>=1;E/=2)I(T,E,[y,w]);for(var C=w;C>x;C/=2){var R=N(),A=new A2([y,C/2]),_=[[c],[null===k?1:0],[x]],F=k;k=n.runWebGLProgram(A,R,"int32",_),_2(n,F);for(var D=x/2,O=2*D,M=D;M>=1;M/=2)I(O,M,k.shape)}var L=k;k=qZ({inputs:{x:k},backend:n,attrs:{begin:0,size:[y,i]}}),_2(n,L);var z=U$({inputs:{x:b,indices:k},backend:n,attrs:{axis:1,batchDims:1}});_2(n,b);var P=l.slice(0,-1);P.push(i),L=k,k=WJ({inputs:{x:k},attrs:{shape:P},backend:n}),_2(n,L);var B=z;return z=WJ({inputs:{x:z},attrs:{shape:P},backend:n}),_2(n,B),[z,k]}},{kernelName:Ix,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.transforms,o=r.interpolation,s=r.fillMode,u=r.fillValue,l=r.outputShape,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=null!=l?l:[h,f],v=m[0],g=m[1],y=new D2(h,f,o,s,u,[p,v,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}},ZJ,{kernelName:Tx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;SX(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=$Y(o,a,i.shape,i.dtype),u=s.outputValues,l=s.outputShape,c=s.indices;return[r.makeTensorInfo(l,i.dtype,u),r.makeTensorInfo([c.length],"int32",c)]}},{kernelName:Ex,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],l=new Array(s-1),c=0,p=0;p<s;p++)p!==i&&(l[c++]=o.shape[p]);var h=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var m=new Array(u),v=0;v<m.length;v++){f[i]=v;var g=qZ({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=WJ({inputs:{x:g},backend:n,attrs:{shape:l}});m[v]=y,h.push(g)}return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}},{kernelName:Cx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.segmentIds,o=r.numSegments,s=a.shape.length,u=[],l=0,c=oE([l],s),p=a;null!=c&&(p=JJ({inputs:{x:a},backend:n,attrs:{perm:c}}),u.push(p),l=uE(1,s)[0]);var h=M_(p.shape,l,o),f=Hv([p.shape[l]]),d=WJ({inputs:{x:p},backend:n,attrs:{shape:[-1,f]}});u.push(d);var m=WJ({inputs:{x:function e(t,r,a,i,o){var s=t.shape[0],l=t.shape[1],c=O_(l,o),p=new O2({windowSize:c,inSize:l,batchSize:s,numSegments:o},r),h=n.compileAndRun(p,[t,a],i);if(u.push(h),h.shape[1]===o)return h;var f=m1({backend:n,attrs:{start:0,stop:o,step:1,dtype:"float32"}}),d=C2({inputs:{x:f},backend:n,attrs:{reps:[l/c]}});return u.push(f),u.push(d),e(h,r,d,i,o)}(d,"unsortedSegmentSum",i,nk(a.dtype),o)},backend:n,attrs:{shape:h}}),v=m;if(null!=c){u.push(m);var g=sE(c);v=JJ({inputs:{x:v},backend:n,attrs:{perm:g}})}return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}},i1];M2<L2.length;M2++){Vx(L2[M2])}var z2={"tfjs-core":qI,"tfjs-backend-cpu":"3.14.0","tfjs-backend-webgl":"3.14.0","tfjs-data":YU,"tfjs-layers":nL,"tfjs-converter":WW,tfjs:"3.14.0"};e.Abs=Fg,e.Acos=Dg,e.Acosh=Og,e.AdadeltaOptimizer=_A,e.AdagradOptimizer=FA,e.AdamOptimizer=DA,e.AdamaxOptimizer=OA,e.Add=Mg,e.AddN=Lg,e.All=zg,e.Any=Pg,e.ArgMax=Bg,e.ArgMin=Wg,e.Asin=Ug,e.Asinh=Vg,e.Atan=Gg,e.Atan2=Hg,e.Atanh=jg,e.AvgPool=qg,e.AvgPool3D=Xg,e.AvgPool3DGrad=Yg,e.AvgPoolGrad=Kg,e.BatchMatMul=Jg,e.BatchToSpaceND=Zg,e.Bincount=Qg,e.BroadcastArgs=ey,e.BroadcastTo=$g,e.Callback=pB,e.CallbackList=dM,e.Cast=ty,e.Ceil=ny,e.ClipByValue=ry,e.Complex=ay,e.ComplexAbs=iy,e.Concat=oy,e.Conv2D=sy,e.Conv2DBackpropFilter=uy,e.Conv2DBackpropInput=ly,e.Conv3D=cy,e.Conv3DBackpropFilterV2=py,e.Conv3DBackpropInputV2=hy,e.Cos=fy,e.Cosh=dy,e.CropAndResize=vy,e.Cumsum=my,e.CustomCallback=gM,e.DataStorage=Dv,e.DenseBincount=gy,e.DepthToSpace=yy,e.DepthwiseConv2dNative=by,e.DepthwiseConv2dNativeBackpropFilter=xy,e.DepthwiseConv2dNativeBackpropInput=wy,e.Diag=ky,e.Dilation2D=Ny,e.Dilation2DBackpropFilter=Sy,e.Dilation2DBackpropInput=Iy,e.EarlyStopping=dB,e.Einsum=Ey,e.Elu=Cy,e.EluGrad=Ry,e.Environment=Tg,e.Equal=_y,e.Erf=Ay,e.Exp=Fy,e.ExpandDims=Dy,e.Expm1=Oy,e.FFT=My,e.Fill=Ly,e.FlipLeftRight=zy,e.Floor=Py,e.FloorDiv=By,e.FromPixels=_x,e.FusedBatchNorm=Wy,e.FusedConv2D=Ox,e.FusedDepthwiseConv2D=Mx,e.GatherNd=Vy,e.GatherV2=Uy,e.GraphModel=PW,e.Greater=Gy,e.GreaterEqual=jy,e.History=vM,e.IFFT=qy,e.Identity=Hy,e.Imag=Ky,e.InputSpec=eM,e.IsFinite=Xy,e.IsInf=Yy,e.IsNan=Jy,e.KernelBackend=Ov,e.LRN=sb,e.LRNGrad=ub,e.LayerVariable=ZO,e.LayersModel=BL,e.LeakyRelu=Zy,e.Less=Qy,e.LessEqual=$y,e.LinSpace=eb,e.Log=tb,e.Log1p=nb,e.LogSoftmax=ob,e.LogicalAnd=rb,e.LogicalNot=ab,e.LogicalOr=ib,e.Max=lb,e.MaxPool=pb,e.MaxPool3D=fb,e.MaxPool3DGrad=db,e.MaxPoolGrad=hb,e.MaxPoolWithArgmax=mb,e.Maximum=cb,e.Mean=vb,e.Min=gb,e.Minimum=yb,e.MirrorPad=bb,e.Mod=xb,e.MomentumOptimizer=LA,e.Multinomial=wb,e.Multiply=kb,e.Neg=Nb,e.NonMaxSuppressionV3=Sb,e.NonMaxSuppressionV4=Tb,e.NonMaxSuppressionV5=Eb,e.NotEqual=Ib,e.OP_SCOPE_SUFFIX=Sk,e.OneHot=Rb,e.OnesLike=Cb,e.Optimizer=AA,e.OptimizerConstructors=PA,e.Pack=Ab,e.PadV2=_b,e.Pool="Pool",e.Pow=Fb,e.Prelu=Db,e.Prod=Ob,e.RMSPropOptimizer=zA,e.RNN=Kz,e.Range=Mb,e.Real=Lb,e.RealDiv=Ty,e.Reciprocal=zb,e.Relu=Pb,e.Relu6=jb,e.Reshape=Bb,e.ResizeBilinear=Vb,e.ResizeBilinearGrad=Gb,e.ResizeNearestNeighbor=Wb,e.ResizeNearestNeighborGrad=Ub,e.Reverse=Hb,e.RotateWithOffset=Fx,e.Round=qb,e.Rsqrt=Kb,e.SGDOptimizer=MA,e.ScatterNd=Xb,e.Select=Yb,e.Selu=Jb,e.Sequential=qL,e.Sigmoid=tx,e.Sign=ex,e.Sin=Qb,e.Sinh=$b,e.Slice=Zb,e.Softmax=sx,e.Softplus=nx,e.SpaceToBatchND=ix,e.SparseFillEmptyRows=ux,e.SparseReshape=lx,e.SparseSegmentMean=cx,e.SparseSegmentSum=px,e.SparseToDense=hx,e.SplitV=ox,e.Sqrt=rx,e.Square=dx,e.SquaredDifference=fx,e.Step=Ax,e.StridedSlice=mx,e.StringNGrams=vx,e.StringSplit=gx,e.StringToHashBucketFast=yx,e.Sub=bx,e.Sum=ax,e.SymbolicTensor=tM,e.Tan=xx,e.Tanh=wx,e.Tensor=qw,e.TensorBuffer=Gw,e.Tile=kx,e.TopK=Nx,e.Transform=Ix,e.Transpose=Sx,e.Unique=Tx,e.Unpack=Ex,e.UnsortedSegmentSum=Cx,e.Variable=$w,e.ZerosLike=Rx,e._FusedMatMul=Dx,e.abs=oS,e.acos=sS,e.acosh=uS,e.add=nS,e.addN=lS,e.all=cS,e.any=pS,e.argMax=hS,e.argMin=fS,e.asin=dS,e.asinh=mS,e.atan=vS,e.atan2=gS,e.atanh=yS,e.avgPool=OS,e.avgPool3d=MS,e.backend=tS,e.backend_util=B_,e.basicLSTMCell=WS,e.batchNorm=VS,e.batchNorm2d=GS,e.batchNorm3d=jS,e.batchNorm4d=HS,e.batchToSpaceND=US,e.bincount=qS,e.booleanMaskAsync=nR,e.broadcastArgs=KS,e.broadcastTo=XS,e.broadcast_util=sI,e.browser=dI,e.buffer=_N,e.callbacks=gB,e.cast=FN,e.ceil=YS,e.clipByValue=JS,e.clone=DN,e.complex=Ek,e.concat=LS,e.concat1d=ZS,e.concat2d=QS,e.concat3d=$S,e.concat4d=eT,e.constraints=LD,e.conv1d=nT,e.conv2d=tT,e.conv2dTranspose=aT,e.conv3d=iT,e.conv3dTranspose=sT,e.copyRegisteredKernels=function(e,t){Ux(e).forEach((function(e){Vx(Object.assign({},e,{backendName:t}))}))},e.cos=uT,e.cosh=lT,e.cosineWindow=pR,e.cumsum=cT,e.customGrad=qT,e.data=JU,e.denseBincount=pT,e.deprecationWarn=KI,e.depthToSpace=hT,e.depthwiseConv2d=fT,e.deregisterOp=function(e){delete yB[e]},e.device_util=yk,e.diag=dT,e.dilation2d=mT,e.disableDeprecationWarnings=function(){Rg().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")},e.dispose=ZI,e.disposeVariables=function(){dk.disposeVariables()},e.div=aS,e.divNoNan=bT,e.dot=xT,e.dropout=lR,e.einsum=wT,e.elu=kT,e.enableDebugMode=function(){Rg().set("DEBUG",!0)},e.enableProdMode=function(){Rg().set("PROD",!0)},e.enclosingPowerOfTwo=cR,e.engine=XI,e.env=Rg,e.equal=vT,e.erf=NT,e.exp=IT,e.expandDims=ST,e.expm1=TT,e.eye=CT,e.fft=RC,e.fill=RT,e.findBackend=function(e){return dk.findBackend(e)},e.findBackendFactory=function(e){return dk.findBackendFactory(e)},e.floor=AT,e.floorDiv=rS,e.fused=IR,e.gather=_T,e.gatherND=uR,e.gather_util=vI,e.getBackend=function(){return dk.backendName},e.getGradient=Wx,e.getKernel=Bx,e.getKernelsForBackend=Ux,e.grad=function(e){return Uv(hg(e),(function(){return"The f passed in grad(f) must be a function"})),function(t,n){var r=Nk(t,"x","tf.grad","string_or_numeric"),a=null!=n?Nk(n,"dy","tf.grad"):null;return dk.tidy((function(){var t=dk.gradients((function(){return e(r)}),[r],a),n=t.value,i=t.grads;return null!=a&&Vv(n.shape,a.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),KT(i),i[0]}))}},e.grads=function(e){return Uv(hg(e),(function(){return"The f passed in grads(f) must be a function"})),function(t,n){Uv(Array.isArray(t),(function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"}));var r=Ik(t,"args","tf.grads","string_or_numeric"),a=null!=n?Nk(n,"dy","tf.grads"):null;return dk.tidy((function(){var t=dk.gradients((function(){return e.apply(void 0,r)}),r,a),n=t.value,i=t.grads;return null!=a&&Vv(n.shape,a.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),KT(i),i}))}},e.greater=FT,e.greaterEqual=DT,e.ifft=AC,e.imag=OT,e.image=SA,e.inTopKAsync=fR,e.initializers=WO,e.input=KL,e.io=QN,e.irfft=_C,e.isFinite=MT,e.isInf=LT,e.isNaN=zT,e.keep=QI,e.kernel_impls=W_,e.layers=sB,e.leakyRelu=PT,e.less=BT,e.lessEqual=WT,e.linalg=TA,e.linspace=UT,e.loadGraphModel=function(e,t){return BW.apply(this,arguments)},e.loadLayersModel=function(e,t){return null==t&&(t={}),function(e,t){return VL.apply(this,arguments)}(e,t)},e.localResponseNormalization=VT,e.log=GT,e.log1p=jT,e.logSigmoid=JT,e.logSoftmax=eE,e.logSumExp=lE,e.logicalAnd=cE,e.logicalNot=pE,e.logicalOr=hE,e.logicalXor=fE,e.losses=EA,e.matMul=$N,e.math=nI,e.max=ZT,e.maxPool=dE,e.maxPool3d=mE,e.maxPoolWithArgmax=vE,e.maximum=gE,e.mean=yE,e.memory=YI,e.meshgrid=wE,e.metrics=uB,e.min=kE,e.minimum=NE,e.mirrorPad=IE,e.mod=SE,e.model=function(e){return new BL(e)},e.models=lB,e.moments=EE,e.movingAverage=iR,e.mul=iS,e.multiRNNCell=CE,e.multinomial=RE,e.neg=XT,e.nextFrame=UA,e.norm=aR,e.notEqual=AE,e.oneHot=eI,e.ones=xE,e.onesLike=_E,e.op=Tk,e.outerProduct=FE,e.pad=DE,e.pad1d=OE,e.pad2d=ME,e.pad3d=LE,e.pad4d=zE,e.pool=BE,e.pow=WE,e.prelu=UE,e.print=ON,e.prod=VE,e.profile=function(e){return dk.profile(e)},e.rand=GE,e.randomGamma=tC,e.randomNormal=nC,e.randomUniform=rC,e.range=aC,e.ready=function(){return dk.ready()},e.real=iC,e.reciprocal=oC,e.registerBackend=eS,e.registerCallbackConstructor=function(e,t){bM.registerCallbackConstructor(e,t)},e.registerGradient=Gx,e.registerKernel=Vx,e.registerOp=function(e,t){var n={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};yB[e]=n},e.regularizers=cB,e.relu=sC,e.relu6=uC,e.removeBackend=function(e){dk.removeBackend(e)},e.reshape=DS,e.reverse=lC,e.reverse1d=cC,e.reverse2d=pC,e.reverse3d=hC,e.reverse4d=fC,e.rfft=DC,e.round=dC,e.rsqrt=mC,e.scalar=vC,e.scatterND=oR,e.scatter_util=xI,e.selu=gC,e.separableConv2d=yC,e.sequential=function(e){return new qL(e)},e.serialization=WI,e.setBackend=$I,e.setPlatform=function(e,t){Rg().setPlatform(e,t)},e.setdiff1dAsync=xC,e.sigmoid=zS,e.sign=wC,e.signal=IA,e.sin=kC,e.sinh=NC,e.slice=PS,e.slice1d=IC,e.slice2d=SC,e.slice3d=TC,e.slice4d=EC,e.slice_util=LI,e.softmax=CC,e.softplus=YT,e.spaceToBatchND=PE,e.sparse=CA,e.sparseToDense=sR,e.spectral=NA,e.split=FC,e.sqrt=OC,e.square=TE,e.squaredDifference=MC,e.squeeze=LC,e.stack=zC,e.step=PC,e.stridedSlice=BC,e.string=RA,e.sub=QT,e.sum=$T,e.sumOutType=nk,e.tan=WC,e.tanh=BS,e.tensor=Rk,e.tensor1d=UC,e.tensor2d=VC,e.tensor3d=uI,e.tensor4d=GC,e.tensor5d=jC,e.tensor6d=HC,e.tensor_util=uk,e.test_util=HI,e.tidy=JI,e.tile=ET,e.time=function(e){return dk.time(e)},e.topk=qC,e.train=BA,e.transpose=tI,e.truncatedNormal=KC,e.unique=XC,e.unregisterGradient=function(e){if(!Px.has(e))throw new Error("The gradient '"+e+"' for backend is not registered");Px.delete(e)},e.unregisterKernel=function(e,t){var n=jx(e,t);if(!zx.has(n))throw new Error("The kernel '"+e+"' for backend '"+t+"' is not registered");zx.delete(n)},e.unsortedSegmentSum=YC,e.unstack=JC,e.upcastType=tk,e.util=Mw,e.valueAndGrad=function(e){return Uv(hg(e),(function(){return"The f passed in valueAndGrad(f) must be a function"})),function(t,n){Uv(t instanceof qw,(function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"})),Uv(null==n||n instanceof qw,(function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"}));var r=dk.gradients((function(){return e(t)}),[t],n),a=r.grads,i=r.value;return KT(a),{grad:a[0],value:i}}},e.valueAndGrads=function(e){return Uv(hg(e),(function(){return"The f passed in valueAndGrads(f) must be a function"})),function(t,n){Uv(Array.isArray(t)&&t.every((function(e){return e instanceof qw})),(function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"})),Uv(null==n||n instanceof qw,(function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"}));var r=dk.gradients((function(){return e.apply(void 0,t)}),t,n);return null!=n&&Vv(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),KT(r.grads),r}},e.variable=ZC,e.variableGrads=HT,e.version=z2,e.version_converter=WW,e.version_core=qI,e.version_layers=nL,e.where=gT,e.whereAsync=eR,e.zeros=bE,e.zerosLike=yT,Object.defineProperty(e,"__esModule",{value:!0})}));
//# sourceMappingURL=tf.min.js.map