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/**
* @license
* Copyright 2023 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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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 rw(e,t,n){this.low=0|e,this.high=0|t,this.unsigned=!!n}function aw(e){return!0===(e&&e.__isLong__)}rw.prototype.__isLong__,Object.defineProperty(rw.prototype,"__isLong__",{value:!0}),rw.isLong=aw;var iw={},ow={};function sw(e,t){var n,r,a;return t?(a=0<=(e>>>=0)&&e<256)&&(r=ow[e])?r:(n=lw(e,(0|e)<0?-1:0,!0),a&&(ow[e]=n),n):(a=-128<=(e|=0)&&e<128)&&(r=iw[e])?r:(n=lw(e,e<0?-1:0,!1),a&&(iw[e]=n),n)}function uw(e,t){if(isNaN(e))return t?yw:gw;if(t){if(e<0)return yw;if(e>=fw)return Nw}else{if(e<=-mw)return Iw;if(e+1>=mw)return kw}return e<0?uw(-e,t).neg():lw(e%dw|0,e/dw|0,t)}function lw(e,t,n){return new rw(e,t,n)}rw.fromInt=sw,rw.fromNumber=uw,rw.fromBits=lw;var cw=Math.pow;function pw(e,t,n){if(0===e.length)throw Error("empty string");if("NaN"===e||"Infinity"===e||"+Infinity"===e||"-Infinity"===e)return gw;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 pw(e.substring(1),t,n).neg();for(var a=uw(cw(n,8)),i=gw,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=uw(cw(n,s));i=i.mul(l).add(uw(u))}else i=(i=i.mul(a)).add(uw(u))}return i.unsigned=t,i}function hw(e,t){return"number"==typeof e?uw(e,t):"string"==typeof e?pw(e,t):lw(e.low,e.high,"boolean"==typeof t?t:e.unsigned)}rw.fromString=pw,rw.fromValue=hw;var dw=4294967296,fw=dw*dw,mw=fw/2,vw=sw(1<<24),gw=sw(0);rw.ZERO=gw;var yw=sw(0,!0);rw.UZERO=yw;var bw=sw(1);rw.ONE=bw;var xw=sw(1,!0);rw.UONE=xw;var ww=sw(-1);rw.NEG_ONE=ww;var kw=lw(-1,2147483647,!1);rw.MAX_VALUE=kw;var Nw=lw(-1,-1,!0);rw.MAX_UNSIGNED_VALUE=Nw;var Iw=lw(0,-2147483648,!1);rw.MIN_VALUE=Iw;var Sw=rw.prototype;Sw.toInt=function(){return this.unsigned?this.low>>>0:this.low},Sw.toNumber=function(){return this.unsigned?(this.high>>>0)*dw+(this.low>>>0):this.high*dw+(this.low>>>0)},Sw.toString=function(e){if((e=e||10)<2||36<e)throw RangeError("radix");if(this.isZero())return"0";if(this.isNegative()){if(this.eq(Iw)){var t=uw(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=uw(cw(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}},Sw.getHighBits=function(){return this.high},Sw.getHighBitsUnsigned=function(){return this.high>>>0},Sw.getLowBits=function(){return this.low},Sw.getLowBitsUnsigned=function(){return this.low>>>0},Sw.getNumBitsAbs=function(){if(this.isNegative())return this.eq(Iw)?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},Sw.isZero=function(){return 0===this.high&&0===this.low},Sw.eqz=Sw.isZero,Sw.isNegative=function(){return!this.unsigned&&this.high<0},Sw.isPositive=function(){return this.unsigned||this.high>=0},Sw.isOdd=function(){return 1==(1&this.low)},Sw.isEven=function(){return 0==(1&this.low)},Sw.equals=function(e){return aw(e)||(e=hw(e)),(this.unsigned===e.unsigned||this.high>>>31!=1||e.high>>>31!=1)&&(this.high===e.high&&this.low===e.low)},Sw.eq=Sw.equals,Sw.notEquals=function(e){return!this.eq(e)},Sw.neq=Sw.notEquals,Sw.ne=Sw.notEquals,Sw.lessThan=function(e){return this.comp(e)<0},Sw.lt=Sw.lessThan,Sw.lessThanOrEqual=function(e){return this.comp(e)<=0},Sw.lte=Sw.lessThanOrEqual,Sw.le=Sw.lessThanOrEqual,Sw.greaterThan=function(e){return this.comp(e)>0},Sw.gt=Sw.greaterThan,Sw.greaterThanOrEqual=function(e){return this.comp(e)>=0},Sw.gte=Sw.greaterThanOrEqual,Sw.ge=Sw.greaterThanOrEqual,Sw.compare=function(e){if(aw(e)||(e=hw(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},Sw.comp=Sw.compare,Sw.negate=function(){return!this.unsigned&&this.eq(Iw)?Iw:this.not().add(bw)},Sw.neg=Sw.negate,Sw.add=function(e){aw(e)||(e=hw(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,lw((c&=65535)<<16|(p&=65535),(u&=65535)<<16|(l&=65535),this.unsigned)},Sw.subtract=function(e){return aw(e)||(e=hw(e)),this.add(e.neg())},Sw.sub=Sw.subtract,Sw.multiply=function(e){if(this.isZero())return gw;if(aw(e)||(e=hw(e)),nw)return lw(nw.mul(this.low,this.high,e.low,e.high),nw.get_high(),this.unsigned);if(e.isZero())return gw;if(this.eq(Iw))return e.isOdd()?Iw:gw;if(e.eq(Iw))return this.isOdd()?Iw:gw;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(vw)&&e.lt(vw))return uw(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,lw((p&=65535)<<16|(h&=65535),(l&=65535)<<16|(c&=65535),this.unsigned)},Sw.mul=Sw.multiply,Sw.divide=function(e){if(aw(e)||(e=hw(e)),e.isZero())throw Error("division by zero");var t,n,r;if(nw)return this.unsigned||-2147483648!==this.high||-1!==e.low||-1!==e.high?lw((this.unsigned?nw.div_u:nw.div_s)(this.low,this.high,e.low,e.high),nw.get_high(),this.unsigned):this;if(this.isZero())return this.unsigned?yw:gw;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return yw;if(e.gt(this.shru(1)))return xw;r=yw}else{if(this.eq(Iw))return e.eq(bw)||e.eq(ww)?Iw:e.eq(Iw)?bw:(t=this.shr(1).div(e).shl(1)).eq(gw)?e.isNegative()?bw:ww:(n=this.sub(e.mul(t)),r=t.add(n.div(e)));if(e.eq(Iw))return this.unsigned?yw:gw;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=gw}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:cw(2,a-48),o=uw(t),s=o.mul(e);s.isNegative()||s.gt(n);)s=(o=uw(t-=i,this.unsigned)).mul(e);o.isZero()&&(o=bw),r=r.add(o),n=n.sub(s)}return r},Sw.div=Sw.divide,Sw.modulo=function(e){return aw(e)||(e=hw(e)),nw?lw((this.unsigned?nw.rem_u:nw.rem_s)(this.low,this.high,e.low,e.high),nw.get_high(),this.unsigned):this.sub(this.div(e).mul(e))},Sw.mod=Sw.modulo,Sw.rem=Sw.modulo,Sw.not=function(){return lw(~this.low,~this.high,this.unsigned)},Sw.and=function(e){return aw(e)||(e=hw(e)),lw(this.low&e.low,this.high&e.high,this.unsigned)},Sw.or=function(e){return aw(e)||(e=hw(e)),lw(this.low|e.low,this.high|e.high,this.unsigned)},Sw.xor=function(e){return aw(e)||(e=hw(e)),lw(this.low^e.low,this.high^e.high,this.unsigned)},Sw.shiftLeft=function(e){return aw(e)&&(e=e.toInt()),0==(e&=63)?this:e<32?lw(this.low<<e,this.high<<e|this.low>>>32-e,this.unsigned):lw(0,this.low<<e-32,this.unsigned)},Sw.shl=Sw.shiftLeft,Sw.shiftRight=function(e){return aw(e)&&(e=e.toInt()),0==(e&=63)?this:e<32?lw(this.low>>>e|this.high<<32-e,this.high>>e,this.unsigned):lw(this.high>>e-32,this.high>=0?0:-1,this.unsigned)},Sw.shr=Sw.shiftRight,Sw.shiftRightUnsigned=function(e){if(aw(e)&&(e=e.toInt()),0===(e&=63))return this;var t=this.high;return e<32?lw(this.low>>>e|t<<32-e,t>>>e,this.unsigned):lw(32===e?t:t>>>e-32,0,this.unsigned)},Sw.shru=Sw.shiftRightUnsigned,Sw.shr_u=Sw.shiftRightUnsigned,Sw.toSigned=function(){return this.unsigned?lw(this.low,this.high,!1):this},Sw.toUnsigned=function(){return this.unsigned?this:lw(this.low,this.high,!0)},Sw.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()},Sw.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]},Sw.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]},rw.fromBytes=function(e,t,n){return n?rw.fromBytesLE(e,t):rw.fromBytesBE(e,t)},rw.fromBytesLE=function(e,t){return new rw(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)},rw.fromBytesBE=function(e,t){return new rw(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)};var Tw=tw||{__proto__:null,default:tw,__moduleExports:tw};function Cw(e){return Tw.fromString(e,!0,16)}var Ew=Cw("c3a5c85c97cb3127"),Aw=Cw("b492b66fbe98f273"),Rw=Cw("9ae16a3b2f90404f");function _w(e){return e.xor(e.shru(47))}function Fw(e,t,n){var r=e.slice(t,t+n);return Tw.fromBytes(Array.from(r),!0,!0)}function Ow(e,t){return Fw(e,t,8)}function Dw(e,t){return Fw(e,t,4)}function Mw(e,t){return 0===t?e:e.shru(t).or(e.shl(64-t))}function Lw(e,t,n){void 0===n&&(n=Cw("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 zw(e,t,n,r){return function(e,t,n,r,a,i){a=a.add(e),i=Mw(i.add(a).add(r),21);var o=a;return a=(a=a.add(t)).add(n),i=i.add(Mw(a,44)),[a.add(r),i.add(o)]}(Ow(e,t),Ow(e,t+8),Ow(e,t+16),Ow(e,t+24),n,r)}function Pw(e,t){void 0===t&&(t=e.length);var n=Tw.fromNumber(81,!0);if(t<=32)return t<=16?function(e,t){if(void 0===t&&(t=e.length),t>=8){var n=Rw.add(2*t),r=Ow(e,0).add(Rw),a=Ow(e,t-8);return Lw(Mw(a,37).mul(n).add(r),Mw(r,25).add(a).mul(n),n)}if(t>=4){var i=Rw.add(2*t);return Lw(Dw(e,0).shl(3).add(t),Dw(e,t-4),i)}if(t>0){var o=e[0]+(e[t>>1]<<8),s=t+(e[t-1]<<2);return _w(Rw.mul(o).xor(Ew.mul(s))).mul(Rw)}return Rw}(e,t):function(e,t){void 0===t&&(t=e.length);var n=Rw.add(2*t),r=Ow(e,0).mul(Aw),a=Ow(e,8),i=Ow(e,t-8).mul(n),o=Ow(e,t-16).mul(Rw);return Lw(Mw(r.add(a),43).add(Mw(i,30)).add(o),r.add(Mw(a.add(Rw),18)).add(i),n)}(e,t);if(t<=64)return function(e,t){void 0===t&&(t=e.length);var n=Rw.add(2*t),r=Ow(e,0).mul(Rw),a=Ow(e,8),i=Ow(e,t-8).mul(n),o=Ow(e,t-16).mul(Rw),s=Mw(r.add(a),43).add(Mw(i,30)).add(o),u=Lw(s,r.add(Mw(a.add(Rw),18)).add(i),n),l=Ow(e,16).mul(n),c=Ow(e,24),p=s.add(Ow(e,t-32)).mul(n),h=u.add(Ow(e,t-24)).mul(n);return Lw(Mw(l.add(c),43).add(Mw(p,30)).add(h),l.add(Mw(c.add(r),18)).add(p),n)}(e,t);var r=n,a=n.mul(Aw).add(113),i=_w(a.mul(Rw).add(113)).mul(Rw),o=[Tw.UZERO,Tw.UZERO],s=[Tw.UZERO,Tw.UZERO];r=r.mul(Rw).add(Ow(e,0));var u=0,l=64*(t-1>>6),c=l+(t-1&63)-63;do{r=Mw(r.add(a).add(o[0]).add(Ow(e,u+8)),37).mul(Aw),a=Mw(a.add(o[1]).add(Ow(e,u+48)),42).mul(Aw),r=r.xor(s[1]),a=a.add(o[0]).add(Ow(e,u+40)),i=Mw(i.add(s[0]),33).mul(Aw),o=zw(e,u,o[1].mul(Aw),r.add(s[0])),s=zw(e,u+32,i.add(s[1]),a.add(Ow(e,u+16)));var p=[r,i];i=p[0],r=p[1],u+=64}while(u!==l);var h=Aw.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=Mw(r.add(a).add(o[0]).add(Ow(e,u+8)),37).mul(h),a=Mw(a.add(o[1]).add(Ow(e,u+48)),42).mul(h),r=r.xor(s[1].mul(9)),a=a.add(o[0].mul(9).add(Ow(e,u+40))),i=Mw(i.add(s[0]),33).mul(h),o=zw(e,u,o[1].mul(h),r.add(s[0])),s=zw(e,u+32,i.add(s[1]),a.add(Ow(e,u+16)));var d=[r,i];return i=d[0],r=d[1],Lw(Lw(o[0],s[0],h).add(_w(a).mul(Ew)).add(i),Lw(o[1],s[1],h).add(r),h)}function Bw(e,t){return"string"===t?Gw(e):Ww([e],t)}function Ww(e,t){if("string"===t)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=qw(e)),Fg().getBool("DEBUG")&&ig(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 Vw(){return Fg().platform.now()}function Uw(e,t){return Fg().platform.fetch(e,t)}function Gw(e,t){return void 0===t&&(t="utf-8"),t=t||"utf-8",Fg().platform.encode(e,t)}function jw(e,t){return void 0===t&&(t="utf-8"),t=t||"utf-8",Fg().platform.decode(e,t)}function Hw(e){return Fg().platform.isTypedArray(e)}function qw(e,t,n){if(void 0===t&&(t=[]),void 0===n&&(n=!1),null==t&&(t=[]),"boolean"==typeof e||"number"==typeof e||"string"==typeof e||Tg(e)||null==e||Hw(e)&&n)t.push(e);else if(Array.isArray(e)||Hw(e))for(var r=0;r<e.length;++r)qw(e[r],t,n);else{for(var a=-1,i=0,o=Object.keys(e);i<o.length;i++){var s=o[i];/^([1-9]+[0-9]*|0)$/.test(s)&&(a=Math.max(a,Number(s)))}for(var u=0;u<=a;u++)qw(e[u],t,n)}return t}var Kw={__proto__:null,createScalarValue:Bw,toTypedArray:Ww,now:Vw,fetch:Uw,encodeString:Gw,decodeString:jw,isTypedArray:Hw,flatten:qw,shuffle:Wv,shuffleCombo:function(e,t){if(e.length!==t.length)throw new Error("Array sizes must match to be shuffled together First array length was "+e.length+"Second array length was "+t.length);for(var n=e.length,r=0;n>0;)r=Math.random()*n|0,Gv(e,--n,r),Gv(t,n,r)},clamp:Vv,nearestLargerEven:Uv,swap:Gv,sum:jv,randUniform:function(e,t){var n=Math.random();return t*n+(1-n)*e},distSquared:function(e,t){for(var n=0,r=0;r<e.length;r++){var a=Number(e[r])-Number(t[r]);n+=a*a}return n},assert:Hv,assertShapesMatch:qv,assertNonNull:Kv,sizeFromShape:Xv,isScalarShape:function(e){return 0===e.length},arraysEqual:Yv,isInt:Jv,tanh:function(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)},sizeToSquarishShape:Zv,createShuffledIndices:function(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return Wv(t),t},rightPad:Qv,repeatedTry:$v,inferFromImplicitShape:eg,parseAxisParam:tg,squeezeShape:ng,getTypedArrayFromDType:rg,getArrayFromDType:ag,checkConversionForErrors:ig,isValidDtype:og,hasEncodingLoss:sg,bytesPerElement:ug,bytesFromStringArray:lg,isString:cg,isBoolean:pg,isNumber:hg,inferDtype:dg,isFunction:fg,nearestDivisor:mg,computeStrides:vg,toNestedArray:yg,convertBackendValuesAndArrayBuffer:bg,makeOnesTypedArray:xg,makeZerosTypedArray:wg,makeZerosNestedTypedArray:kg,assertNonNegativeIntegerDimensions:Ng,locToIndex:Ig,indexToLoc:Sg,isPromise:Tg,hexToLong:Cw,fingerPrint64:Pw},Xw=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Yw)}var t=e.prototype;return t.profileKernel=function(e,t,n){var r,a,i=function(){r=n()},o=Vw();if(this.backendTimer.timerAvailable())a=this.backendTimer.time(i);else{i();for(var s,u=Lv(r);!(s=u()).done;){s.value.dataSync()}a=Promise.resolve({kernelMs:Vw()-o})}if(Fg().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 Yw=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r,a,i){var o="number"==typeof r?Qv(r+"ms",9):r.error,s=Qv(e,25),u=t.rank,l=t.size,c=Qv(t.shape.toString(),14),p="";for(var h in a){var d=a[h];if(null!=d){var f=d.shape||t.shape,m=f.length;p+=h+": "+m+"D "+(m>0?f:"")+" 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o="complex64"===n?2:1,s=t[0],u=t.length;if(0===u)return"complex64"===n?[Zw(ek(e)[0],0,n)]:"bool"===n?[Qw(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=ek(c),p=ek(p)),["["+c.map((function(e,t){return Zw(e,a[t],n)})).join(", ")+", ..., "+p.map((function(e,t){return Zw(e,a[s-3+t],n)})).join(", ")+"]"]}return["["+("complex64"===n?ek(e):Array.from(e)).map((function(e,t){return Zw(e,a[t],n)})).join(", ")+"]"]}var h=t.slice(1),d=r.slice(1),f=r[0]*o,m=[];if(s>20){for(var v=0;v<3;v++){var g=v*f,y=g+f;m.push.apply(m,$w(e.slice(g,y),h,n,d,a,!1))}m.push("...");for(var b=s-3;b<s;b++){var x=b*f,w=x+f;m.push.apply(m,$w(e.slice(x,w),h,n,d,a,b===s-1))}}else for(var k=0;k<s;k++){var N=k*f,I=N+f;m.push.apply(m,$w(e.slice(N,I),h,n,d,a,k===s-1))}var S=2===u?",":"";m[0]="["+(s>0?m[0]+S:"");for(var T=1;T<m.length-1;T++)m[T]=" "+m[T]+S;for(var C=",\n",E=2;E<u;E++)C+="\n";return m[m.length-1]=" "+m[m.length-1]+"]"+(i?"":C),m}function ek(e){for(var t=[],n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var tk=function(){function e(e,t,n){var r=this;if(this.dtype=t,this.shape=e.slice(),this.size=Xv(e),null!=n){var a=n.length;Hv(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||ag(t,this.size),this.strides=vg(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]),Hv(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 nk().makeTensor(this.values,this.shape,this.dtype)},Tv(e,[{key:"rank",get:function(){return this.shape.length}}]),e}(),nk=null,rk=null;var ak=function(){function e(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Xv(e),this.strides=vg(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=Iv(kv().mark((function e(){var t;return kv().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",rk.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 rk.buffer(this.shape,this.dtype,this.dataSync())},t.array=function(){var e=Iv(kv().mark((function e(){var t;return kv().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",yg(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 yg(this.shape,this.dataSync(),"complex64"===this.dtype)},t.data=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.throwIfDisposed(),t=nk().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 jw(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(),nk().readToGPU(this.dataId,e)},t.dataSync=function(){this.throwIfDisposed();var e=nk().readSync(this.dataId);if("string"===this.dtype)try{return e.map((function(e){return jw(e)}))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. 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0===e&&(e=!0),this.throwIfDisposed(),nk().makeVariable(this,e,t,n)},Tv(e,[{key:"rank",get:function(){return this.shape.length}},{key:"isDisposed",get:function(){return this.isDisposedInternal}}]),e}();function ik(){return Dg("Tensor",(function(){return ak}))}Object.defineProperty(ak,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),ik();var ok,sk,uk,lk,ck,pk=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}Cv(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(!Yv(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");nk().disposeTensor(this),this.dataId=e.dataId,nk().incRef(this,null)},n.dispose=function(){nk().disposeVariable(this),this.isDisposedInternal=!0},t}(ak);Object.defineProperty(pk,Symbol.hasInstance,{value:function(e){return e instanceof ak&&null!=e.assign&&e.assign instanceof Function}}),(ok=e.Rank||(e.Rank={})).R0="R0",ok.R1="R1",ok.R2="R2",ok.R3="R3",ok.R4="R4",ok.R5="R5",ok.R6="R6",function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(sk||(sk={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(uk||(uk={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(lk||(lk={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(ck||(ck={}));var hk={float32:lk,int32:sk,bool:uk,complex64:ck};function dk(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast "+e+" with "+t)}return hk[e][t]}function fk(e){return dk(e,"int32")}function mk(e){return null!=e&&"object"==typeof e&&"texture"in e&&e.texture instanceof WebGLTexture}function vk(e){return"undefined"!=typeof GPUBuffer&&null!=e&&"object"==typeof e&&"buffer"in e&&e.buffer instanceof GPUBuffer}function gk(e,t){if(e.dtype===t.dtype)return[e,t];var n=dk(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function yk(e,t){Hv(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function bk(e,t){return t.some((function(t){return t.id===e.id}))}function xk(e){var t=[];return wk(e,t,new Set),t}function wk(e,t,n){if(null!=e)if(e instanceof ak)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),wk(o,t,n))}}}var kk={__proto__:null,makeTypesMatch:gk,assertTypesMatch:yk,isTensorInList:bk,getTensorsInContainer:xk};function Nk(e){return null!=e.kernelName}var Ik=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}(),Sk=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ik}var t=e.prototype;return t.ready=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().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?(qx(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},t.setBackend=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().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 Xw(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;Zx(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},t.disposeRegisteredKernels=function(e){var t=this;Zx(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 Pv||"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,qx("Initialization of backend "+e+" failed"),qx(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return qx("Initialization of backend "+e+" failed"),qx(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=Ek.runKernel(Yy,{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 Ek.runKernel(ay,t,n)}}}),[],{}),t},t.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Yx(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=Nk(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(Nk(e)){var c=e.kernelName,p=e.inputs,h=e.attrs;null==this.backendName&&this.backend;var d=Yx(c,this.backendName);Hv(null!=d,(function(){return"Cannot find registered kernel '"+c+"' for backend '"+a.backendName+"'"})),n=function(){var e=a.backend.numDataIds();r=d.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){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(c,p,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var f=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 f(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=Nk(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,n=e.map((function(e){return t.keep(t.clone(e))}));return n},t.getTensorsForGradient=function(e,t,n){var r=Jx(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Hv(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&&cg(e[0])&&(a=e.map((function(e){return Gw(e)})));var i=r.write(a,t,n),o=new ak(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=lg(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.makeTensorFromDataId=function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)},t.makeTensorFromTensorInfo=function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new ak(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i},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 pk(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*ug(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 pk||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*ug(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=Iv(kv().mark((function e(t){var n,r,a,i,o;return kv().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=Lv(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=Jx(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=wg(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=xk(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),Hv(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)}));Hv(i instanceof ak,(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 d={};d[n.id]=!0;for(var f={},m=e.length-1;m>=0;m--)for(var v=e[m],g=v.inputs,y=0;y<v.outputs.length;y++)if(d[v.outputs[y].id]){for(var b in g)d[g[b].id]=!0,f[v.id]=!0;break}for(var x=[],w=0;w<e.length;w++){var k=e[w];if(a[k.id]&&f[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=xg(Xv(e),"float32"),Ek.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(!Yv(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)}),Ak);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=Lv(e.saved);!(t=n()).done;){t.value.dispose()}})),a.state.activeTape=null),{value:i,grads:u}}))},t.customGrad=function(e){var t=this;return Hv(fg(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;Hv(r.every((function(e){return e instanceof ak})),(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 Hv((i=e.apply(void 0,[].concat(r,[n]))).value instanceof ak,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),Hv(fg(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];Hv(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(...)."})),Hv(a.every((function(e){return e instanceof ak})),(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=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Vw(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=Vw()-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 Ik,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},Tv(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 Tk(){var t=Og();if(null==t._tfengine){var n=new Ag(t);t._tfengine=new Sk(n)}return function(t){e.ENV=t}(t._tfengine.ENV),nk=function(){return t._tfengine},t._tfengine}Sk.nextTensorId=0,Sk.nextVariableId=0;var Ck,Ek=Tk();function Ak(e,t){var n={a:e,b:t};return Ek.runKernel(Pg,n)}function Rk(e){if(void 0!==Ck)return Ck;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 _k(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Fk={__proto__:null,mockIsMobile:function(e){Ck=e},isMobile:Rk,isBrowser:_k},Ok=Fg();function Dk(e,t){var n=e;if(Hw(e))return"string"===t?[]:[e.length];if(mk(e)){var r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(vk(e))return[e.buffer.size/(null==t?4:ug(t))];if(!Array.isArray(e))return[];for(var a=[];Array.isArray(n)||Hw(n)&&"string"!==t;)a.push(n.length),n=n[0];return Array.isArray(e)&&Fg().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&Mk(e,a,[]),a}function Mk(e,t,n){if(n=n||[],Array.isArray(e)||Hw(e)){Hv(t.length>0,(function(){return"Element arr["+n.join("][")+"] should be a primitive, but is an array of "+e.length+" elements"})),Hv(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)Mk(e[a],r,n.concat(a))}else Hv(0===t.length,(function(){return"Element arr["+n.join("][")+"] is a primitive, but should be an array/TypedArray of "+t[0]+" elements"}))}function Lk(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 zk(e,t,n,r){if(void 0===r&&(r="numeric"),e instanceof ak)return Lk(r,e.dtype,t,n),e;var a=dg(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),Lk(r,a,t,n),null==e||!Hw(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=Dk(e,a);Hw(e)||Array.isArray(e)||(e=[e]);var s="string"!==a?Ww(e,a):qw(e,[],!0);return Ek.makeTensor(s,o,a)}function Pk(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 zk(e,t+"["+a+"]",n,r)}))}Ok.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. 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null!=e.signature&&(r.signature=e.signature),null!=e.userDefinedMetadata&&(r.userDefinedMetadata=e.userDefinedMetadata),null!=e.modelInitializer&&(r.modelInitializer=e.modelInitializer),null!=e.initializerSignature&&(r.initializerSignature=e.initializerSignature),r}function rN(e,t){return aN.apply(this,arguments)}function aN(){return aN=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==t.weightsManifest){e.next=6;break}return e.next=3,n(t.weightsManifest);case 3:i=e.sent,r=i[0],a=i[1];case 6:return e.abrupt("return",nN(t,r,a));case 7:case"end":return e.stop()}}),e)}))),aN.apply(this,arguments)}function iN(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new 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hI=Wk({acosh_:function(e){var t={x:zk(e,"x","acosh")};return Ek.runKernel(zg,t)}});var dI=Wk({addN_:function(e){Hv(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),Hv(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 zk(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(!Yv(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return Ek.runKernel(Bg,r)}});var fI=Wk({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:zk(e,"x","all","bool")},a={axis:t,keepDims:n};return Ek.runKernel(Wg,r,a)}});var mI=Wk({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:zk(e,"x","any","bool")},a={axis:t,keepDims:n};return Ek.runKernel(Vg,r,a)}});var vI=Wk({argMax_:function(e,t){void 0===t&&(t=0);var n={x:zk(e,"x","argMax")},r={axis:t};return Ek.runKernel(Ug,n,r)}});var gI=Wk({argMin_:function(e,t){void 0===t&&(t=0);var n={x:zk(e,"x","argMin")},r={axis:t};return Ek.runKernel(Gg,n,r)}});var yI=Wk({asin_:function(e){var t={x:zk(e,"x","asin")};return Ek.runKernel(jg,t)}});var bI=Wk({asinh_:function(e){var t={x:zk(e,"x","asinh")};return Ek.runKernel(Hg,t)}});var xI=Wk({atan_:function(e){var t={x:zk(e,"x","atan")};return Ek.runKernel(qg,t)}});var wI=Wk({atan2_:function(e,t){var n=zk(e,"a","atan2"),r=zk(t,"b","atan2"),a=gk(n,r),i={a:n=a[0],b:r=a[1]};return Ek.runKernel(Xg,i)}});var kI=Wk({atanh_:function(e){var t={x:zk(e,"x","atanh")};return Ek.runKernel(Kg,t)}});function NI(e,t,n,r,a,i){void 0===a&&(a="NHWC");var o=e[3];return TI(e,[].concat(t,[o]),n,i,r,null,null,LI(a))}function II(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=AI(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 TI(e,s,n,r,a,i,!1,o)}function SI(e,t,n,r,a,i,o){void 0===o&&(o="NDHWC");var s,u,l=RI(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 CI(e,s,n,r,a,!1,u,i)}function TI(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,d=t[0],f=t[1],m=t[3],v=AI(n),g=v[0],y=v[1],b=AI(r),x=b[0],w=b[1],k=_I(d,x),N=_I(f,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=EI(e,t,n));var i=e[0],o=e[1],s=FI((i-t+2*r)/n+1,a),u=FI((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 d=Math.max(0,(c-1)*r+i-t),f=Math.max(0,(p-1)*a+o-n),m=Math.floor(d/2),v=d-m,g=Math.floor(f/2);l={top:m,bottom:v,left:g,right:f-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=FI((t-i+y+b)/r+1,s),p=FI((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,C=I.outWidth,E=o?m*p:m;return"channelsFirst"===s?h=[u,E,T,C]:"channelsLast"===s&&(h=[u,T,C,E]),{batchSize:u,dataFormat:s,inHeight:l,inWidth:c,inChannels:p,outHeight:T,outWidth:C,outChannels:E,padInfo:S,strideHeight:g,strideWidth:y,filterHeight:d,filterWidth:f,effectiveFilterHeight:k,effectiveFilterWidth:N,dilationHeight:x,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function CI(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 d,f=t[0],m=t[1],v=t[2],g=t[4],y=RI(n),b=y[0],x=y[1],w=y[2],k=RI(r),N=k[0],I=k[1],S=k[2],T=_I(f,N),C=_I(m,I),E=_I(v,S),A=function(e,t,n,r,a,i,o,s,u,l,c){var p,h,d,f;"valid"===e&&(e=0);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=EI(e,t[0],r[0]));for(var o=[0,0,0,n],s=0;s<3;s++)e[s]+2*a>=t[s]&&(o[s]=FI((e[s]-t[s]+2*a)/r[s]+1,i));return o}([t,n,r,1],[s,u,l],1,[a,i,o],e,c);h=m[0],d=m[1],f=m[2]}else{if("same"!==e)throw Error("Unknown padding parameter: "+e);var v=((h=Math.ceil(t/a))-1)*a+s-t,g=((d=Math.ceil(n/i))-1)*i+u-n,y=((f=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"}}return{padInfo:p,outDepth:h,outHeight:d,outWidth:f}}(a,l,c,p,b,x,w,T,C,E,s),R=A.padInfo,_=A.outDepth,F=A.outHeight,O=A.outWidth,D=i?g*h:g;return"channelsFirst"===o?d=[u,D,_,F,O]:"channelsLast"===o&&(d=[u,_,F,O,D]),{batchSize:u,dataFormat:o,inDepth:l,inHeight:c,inWidth:p,inChannels:h,outDepth:_,outHeight:F,outWidth:O,outChannels:D,padInfo:R,strideDepth:b,strideHeight:x,strideWidth:w,filterDepth:f,filterHeight:m,filterWidth:v,effectiveFilterDepth:T,effectiveFilterHeight:C,effectiveFilterWidth:E,dilationDepth:N,dilationHeight:I,dilationWidth:S,inShape:e,outShape:d,filterShape:t}}function EI(e,t,n,r){void 0===r&&(r=1);var a=_I(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function AI(e){return"number"==typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function RI(e){return"number"==typeof e?[e,e,e]:e}function _I(e,t){return t<=1?e:e+(e-1)*(t-1)}function FI(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 OI(e){var t=AI(e),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function DI(e,t){return OI(e)||OI(t)}function MI(e){return AI(e).every((function(e){return e>0}))}function LI(e){if("NHWC"===e)return"channelsLast";if("NCHW"===e)return"channelsFirst";throw new Error("Unknown dataFormat "+e)}function zI(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)Hv(Jv(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){Hv(Jv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}))}))}))}}}var PI=Wk({reshape_:function(e,t){var n={x:zk(e,"x","reshape","string_or_numeric")},r={shape:t};return Ek.runKernel(qb,n,r)}});var BI=Wk({avgPool_:function(e,t,n,r,a){var i=zk(e,"x","avgPool","float32");Hv(DI(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=PI(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Hv(4===o.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+o.rank+"."})),zI("avgPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=Ek.runKernel(Yg,u,l);return c=XN(c,i.dtype),s?PI(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var WI=Wk({avgPool3d_:function(e,t,n,r,a,i){void 0===i&&(i="NDHWC");var o=zk(e,"x","avgPool3d","float32"),s=o,u=!1;4===o.rank&&(u=!0,s=PI(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===s.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank "+s.rank+"."})),Hv("NDHWC"===i,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),Hv("number"==typeof n&&n>0||Array.isArray(n)&&n[0]>0&&n[1]>0&&n[2]>0,(function(){return"Error in avgPool3d: Stride must be > 0, but got '"+n+"'"})),zI("avgPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=Ek.runKernel(Zg,l,c);return p=XN(p,s.dtype),u?PI(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var VI=Wk({concat_:function(e,t){void 0===t&&(t=0),Hv(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=Pk(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 YN(n[0]);var r=n,a={axis:t};return Ek.runKernel(ly,r,a)}});var UI=Wk({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=zk(e,"a","matMul"),i=zk(t,"b","matMul"),o=gk(a,i),s={a:a=o[0],b:i=o[1]},u={transposeA:n,transposeB:r};return Ek.runKernel($g,s,u)}});var GI=Wk({sigmoid_:function(e){var t={x:zk(e,"x","sigmoid","float32")};return Ek.runKernel(cx,t)}});var jI=Wk({slice_:function(e,t,n){var r=zk(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 Ek.runKernel(ox,a,i)}});var HI=Wk({tanh_:function(e){var t={x:zk(e,"x","tanh","float32")};return Ek.runKernel(_x,t)}});var qI=Wk({basicLSTMCell_:function(e,t,n,r,a,i){var o=zk(e,"forgetBias","basicLSTMCell"),s=zk(t,"lstmKernel","basicLSTMCell"),u=zk(n,"lstmBias","basicLSTMCell"),l=zk(r,"data","basicLSTMCell"),c=zk(a,"c","basicLSTMCell"),p=zk(i,"h","basicLSTMCell"),h=VI([l,p],1),d=UI(h,s),f=oI(d,u),m=f.shape[0],v=f.shape[1]/4,g=[m,v],y=jI(f,[0,0],g),b=jI(f,[0,v],g),x=jI(f,[0,2*v],g),w=jI(f,[0,3*v],g),k=oI(lI(GI(y),HI(b)),lI(c,GI(oI(o,x))));return[k,lI(HI(k),GI(w))]}});var KI=Wk({batchToSpaceND_:function(e,t,n){var r=zk(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Hv(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Hv(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length "+t.length})),Hv(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 Ek.runKernel(ey,i,o)}});var XI=Wk({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=zk(e,"x","batchNorm"),l=zk(t,"mean","batchNorm"),c=zk(n,"variance","batchNorm");null!=a&&(o=zk(a,"scale","batchNorm")),null!=r&&(s=zk(r,"offset","batchNorm")),Hv(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Hv(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p=function(e){return 0===e.rank||1===e.rank?PI(e,[1,1,1,e.size]):2===e.rank?PI(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?PI(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),h={x:p,scale:o,offset:s,mean:l,variance:c},d={varianceEpsilon:i},f=Ek.runKernel(jy,h,d);return PI(f,u.shape)}});var YI=Wk({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=zk(e,"x","batchNorm"),l=zk(t,"mean","batchNorm"),c=zk(n,"variance","batchNorm");return null!=a&&(o=zk(a,"scale","batchNorm")),null!=r&&(s=zk(r,"offset","batchNorm")),Hv(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Hv(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Hv(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&&Hv(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&&Hv(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),XI(u,l,c,s,o,i)}});var JI=Wk({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=zk(e,"x","batchNorm"),l=zk(t,"mean","batchNorm"),c=zk(n,"variance","batchNorm");return null!=a&&(o=zk(a,"scale","batchNorm")),null!=r&&(s=zk(r,"offset","batchNorm")),Hv(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Hv(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Hv(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&&Hv(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&&Hv(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),XI(u,l,c,s,o,i)}});var ZI=Wk({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=zk(e,"x","batchNorm"),l=zk(t,"mean","batchNorm"),c=zk(n,"variance","batchNorm");return null!=a&&(o=zk(a,"scale","batchNorm")),null!=r&&(s=zk(r,"offset","batchNorm")),Hv(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Hv(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Hv(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&&Hv(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&&Hv(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),XI(u,l,c,s,o,i)}});var QI=Wk({bincount_:function(e,t,n){var r=zk(e,"x","bincount"),a=zk(t,"weights","bincount");Hv("int32"===r.dtype,(function(){return"Error in bincount: input dtype must be int32, but got "+r.dtype})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(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 Ek.runKernel(ty,i,o)}});var $I=Wk({broadcastArgs_:function(e,t){var n=zk(e,"s0","broadcastArgs","int32"),r=zk(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 Ek.runKernel(ry,a)}});var eS=Wk({broadcastTo_:function(e,t){var n=zk(e,"broadcastTo","x"),r=n.shape;if(Ng(t),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=PI(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+"].");var u=o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return YN(n);var l={x:n},c={reps:o};return Ek.runKernel(Fx,l,c)}});var tS=Wk({ceil_:function(e){var t={x:zk(e,"x","ceil","float32")};return Ek.runKernel(iy,t)}});function nS(e,t,n){Ng(e);var r={shape:e,value:t,dtype:n=n||dg(t)};return Ek.runKernel(Wy,{},r)}var rS=Wk({clipByValue_:function(e,t,n){var r=zk(e,"x","clipByValue");if(Hv(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."})),t===n)return nS(r.shape,t,r.dtype);var a={x:r},i={clipValueMin:t,clipValueMax:n};return Ek.runKernel(oy,a,i)}});var aS=Wk({concat1d_:function(e){return VI(e,0)}});var iS=Wk({concat2d_:function(e,t){return VI(e,t)}});var oS=Wk({concat3d_:function(e,t){return VI(e,t)}});var sS=Wk({concat4d_:function(e,t){return VI(e,t)}});var uS=Wk({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=zk(e,"x","conv2d","float32"),u=zk(t,"filter","conv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=PI(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),zI("conv2d",r,o);var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Hv(DI(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Hv(MI(i),(function(){return"Error in conv2D: Dilated rates should be larger than 0."})),Hv(MI(n),(function(){return"Error in conv2D: Strides should be larger than 0."}));var h={x:l,filter:u},d={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=Ek.runKernel(cy,h,d);return c?PI(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var lS=Wk({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=zk(e,"x","conv1d"),u=zk(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=PI(s,[1,s.shape[0],s.shape[1]])),Hv(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Hv(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),zI("conv1d",r,o),Hv(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]+"."})),Hv(DI(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Hv(MI(i),(function(){return"Error in conv1D: Dilated rates should be larger than 0."})),Hv(MI(n),(function(){return"Error in conv1D: Stride should be larger than 0."})),Hv("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=PI(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=PI(l,[l.shape[0],1,l.shape[1],l.shape[2]]),d=uS(h,p,[1,n],r,"NHWC",[1,i],o);return PI(d,c?[d.shape[2],d.shape[3]]:[d.shape[0],d.shape[2],d.shape[3]])}});var cS=Wk({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Hv(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=PI(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Hv(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Hv(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];Hv(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Hv(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),zI("conv2dDerInput",a,o);var h={dy:u,filter:n},d={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},f=Ek.runKernel(hy,h,d);return l?PI(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var pS=Wk({conv2dTranspose_:function(e,t,n,r,a,i){var o=zk(e,"x","conv2dTranspose"),s=zk(t,"filter","conv2dTranspose");return cS(n,o,s,r,a,"NHWC",i)}});var hS=Wk({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=zk(e,"x","conv3d"),s=zk(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=PI(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Hv(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Hv(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]+"."})),Hv(DI(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Hv("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."})),Hv(MI(i),(function(){return"Error in conv3D: Dilated rates should be larger than 0."})),Hv(MI(n),(function(){return"Error in conv3D: Strides should be larger than 0."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=Ek.runKernel(dy,c,p);return l?PI(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var dS=Wk({conv3DBackpropInput_:function(e,t,n,r,a){Hv(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=PI(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];Hv(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Hv(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Hv(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Hv(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Hv(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=Ek.runKernel(my,c,p);return s?PI(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var fS=Wk({conv3dTranspose_:function(e,t,n,r,a){var i=zk(e,"x","conv3dTranspose"),o=zk(t,"filter","conv3dTranspose");return dS(n,i,o,r,a)}});var mS=Wk({cos_:function(e){var t={x:zk(e,"x","cos","float32")};return Ek.runKernel(vy,t)}});var vS=Wk({cosh_:function(e){var t={x:zk(e,"x","cosh","float32")};return Ek.runKernel(gy,t)}});var gS=Wk({cumprod_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:zk(e,"x","cumprod")},i={axis:t,exclusive:n,reverse:r};return Ek.runKernel(yy,a,i)}});var yS=Wk({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:zk(e,"x","cumsum")},i={axis:t,exclusive:n,reverse:r};return Ek.runKernel(by,a,i)}});var bS=Wk({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=zk(e,"x","denseBincount"),i=zk(t,"weights","denseBincount");Hv("int32"===a.dtype,(function(){return"Error in denseBincount: input dtype must be int32, but got "+a.dtype})),Hv(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got rank "+a.rank+"."})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(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 Ek.runKernel(wy,o,s)}});var xS=Wk({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=zk(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];Hv(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t})),Hv(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})),Hv(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})),Hv(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 Ek.runKernel(ky,s,u)}});var wS=Wk({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=zk(e,"x","depthwiseConv2d","float32"),u=zk(t,"filter","depthwiseConv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=PI(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+p+") must match the inChannels dimension in filter "+u.shape[2]+"."})),zI("depthwiseConv2d",r,o);var h={x:l,filter:u},d={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=Ek.runKernel(Ny,h,d);return c?PI(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var kS=Wk({diag_:function(e){var t={x:zk(e,"x","diag")};return Ek.runKernel(Ty,t)}});var NS=Wk({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=zk(e,"x","dilation2d"),s=zk(t,"filter","dilation2d");Hv(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Hv(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Hv("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=PI(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=!0),Hv(u.shape[3]===s.shape[2],(function(){return"Error in dilation2d: input and filter must have the same depth: "+u.shape[3]+" vs "+s.shape[2]}));var c={x:u,filter:s},p={strides:n,pad:r,dilations:a},h=Ek.runKernel(Cy,c,p);return l?PI(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});function IS(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 SS(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 TS(e,t){for(var n=Math.max(e.length,t.length),r=new Array(n),a=0;a<n;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)r[n-a-1]=o;else if(1===o)r[n-a-1]=i;else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");r[n-a-1]=i}}return r}var CS={__proto__:null,getBroadcastDims:IS,getReductionAxes:SS,assertAndGetBroadcastShape:TS};var ES=Wk({equal_:function(e,t){var n=zk(e,"a","equal","string_or_numeric"),r=zk(t,"b","equal","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(My,i)}});var AS=Wk({where_:function(e,t,n){var r=zk(t,"a","where"),a=zk(n,"b","where"),i=zk(e,"condition","where","bool"),o=TS(TS(i.shape,r.shape),a.shape),s={condition:eS(i,o),t:eS(r,o),e:eS(a,o)};return Ek.runKernel(ax,s)}});var RS=Wk({zerosLike_:function(e){var t={x:zk(e,"x","zerosLike")};return Ek.runKernel(Bx,t)}});var _S=Wk({divNoNan_:function(e,t){var n=zk(e,"a","div"),r=zk(t,"b","div"),a=gk(n,r);n=a[0],r=a[1];var i=uI(n,r),o=RS(i),s=ES(r,o);return AS(s,o,i)}});var FS=Wk({dot_:function(e,t){var n=zk(e,"t1","dot"),r=zk(t,"t2","dot");Hv(!(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(Hv(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=PI(n,[1,-1]),s=PI(r,[-1,1]),u=UI(o,s);return PI(u,[])}if(1===n.rank&&2===r.rank){var l=PI(n,[1,-1]),c=PI(r,[r.shape[0],r.shape[1]]),p=UI(l,c);return PI(p,[p.size])}if(2===n.rank&&1===r.rank){var h=PI(r,[-1,1]),d=UI(n,h);return PI(d,[d.size])}var f=PI(r,[r.shape[0],r.shape[1]]);return UI(n,f)}});var OS=Wk({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 zk(e,"tensors"+t,"einsum")})),i={equation:e};return Ek.runKernel(_y,a,i)}});var DS=Wk({elu_:function(e){var t={x:zk(e,"x","elu","float32")};return Ek.runKernel(Fy,t)}});var MS=Wk({erf_:function(e){var t=zk(e,"x","erf");Hv("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=XN(t,"float32"));var n={x:t};return Ek.runKernel(Dy,n)}});function LS(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function zS(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 PS(e,t){for(var n=[],r=e.length,a=0;a<r;a++)-1===t.indexOf(a)&&n.push(e[a]);var i=t.map((function(t){return e[t]}));return[n,i]}function BS(e,t){return zS(e,t.map((function(e){return 1})),t)}function WS(e,t,n){Hv(LS(t,n),(function(){return e+" supports only inner-most axes for now. Got axes "+t+" and rank-"+n+" input."}))}function VS(e,t){if(LS(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 US(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 GS(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}var jS=Wk({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:zk(e,"x","max")},a={reductionIndices:t,keepDims:n};return Ek.runKernel(db,r,a)}});var HS=Wk({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:zk(e,"x","min")},a={axis:t,keepDims:n};return Ek.runKernel(wb,r,a)}});var qS=Wk({pow_:function(e,t){var n=zk(e,"base","pow"),r=zk(t,"exp","pow"),a=gk(n,r),i={a:n=a[0],b:r=a[1]};return Ek.runKernel(Lb,i)}});function KS(e,t){if((Hw(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&&Hw(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Uk(e,[],[],t)}var XS=Wk({sqrt_:function(e){var t={x:zk(e,"x","sqrt","float32")};return Ek.runKernel(hx,t)}});var YS=Wk({square_:function(e){var t=zk(e,"x","square");return Ek.runKernel("Square",{x:t},{})}});var JS=Wk({sum_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=zk(e,"x","sum");"bool"===r.dtype&&(r=XN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return Ek.runKernel(dx,a,i)}});function ZS(e,t,n){if(void 0===n&&(n=null),0===e.rank)return cI(e);if(1!==e.rank&&null===n)return ZS(PI(e,[-1]),t,n);if(1===e.rank||"number"==typeof n||Array.isArray(n)&&1===n.length){if(1===t)return JS(cI(e),n);if(t===1/0)return jS(cI(e),n);if(t===-1/0)return HS(cI(e),n);if("euclidean"===t||2===t)return XS(JS(qS(cI(e),KS(2,"int32")),n));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(n)&&2===n.length){if(1===t)return jS(JS(cI(e),n[0]),n[1]-1);if(t===1/0)return jS(JS(cI(e),n[1]),n[0]);if(t===-1/0)return HS(JS(cI(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return XS(JS(YS(e),n));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+n)}var QS=Wk({norm_:function(e,t,n,r){void 0===t&&(t="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=ZS(e=zk(e,"x","norm"),t,n),i=a.shape;if(r){var o=tg(n,e.shape);i=BS(a.shape,o)}return PI(a,i)}});var $S=Wk({euclideanNorm_:function(e,t,n){return void 0===t&&(t=null),void 0===n&&(n=!1),QS(e,"euclidean",t,n)}});var eT=Wk({exp_:function(e){var t={x:zk(e,"x","exp")};return Ek.runKernel(Ly,t)}});var tT=Wk({expandDims_:function(e,t){void 0===t&&(t=0);var n=zk(e,"x","expandDims","string_or_numeric");Hv(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return Ek.runKernel(zy,r,a)}});var nT=Wk({expm1_:function(e){var t={x:zk(e,"x","expm1")};return Ek.runKernel(Py,t)}});var rT=Wk({tile_:function(e,t){var n=zk(e,"x","tile","string_or_numeric");Hv(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 Ek.runKernel(Fx,r,a)}});var aT=Wk({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=KN([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=PI(a.toTensor(),[e,t]);if(null==n)return s;if(1===n.length)return rT(tT(s,0),[n[0],1,1]);if(2===n.length)return rT(tT(tT(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return rT(tT(tT(tT(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.")}});var iT=Wk({floor_:function(e){var t={x:zk(e,"x","floor","float32")};return Ek.runKernel(Uy,t)}});var oT=Wk({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:zk(e,"x","gather"),indices:zk(t,"indices","gather","int32")},i={axis:n,batchDims:r};return Ek.runKernel(Hy,a,i)}});var sT=Wk({greater_:function(e,t){var n=zk(e,"a","greater","string_or_numeric"),r=zk(t,"b","greater","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(Ky,i)}});var uT=Wk({greaterEqual_:function(e,t){var n=zk(e,"a","greaterEqual","string_or_numeric"),r=zk(t,"b","greaterEqual","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(Xy,i)}});var lT=Wk({imag_:function(e){var t={input:zk(e,"input","imag")};return Ek.runKernel(Zy,t)}});var cT=Wk({isFinite_:function(e){var t={x:zk(e,"x","isFinite")};return Ek.runKernel(Qy,t)}});var pT=Wk({isInf_:function(e){var t={x:zk(e,"x","isInf")};return Ek.runKernel($y,t)}});var hT=Wk({isNaN_:function(e){var t={x:zk(e,"x","isNaN")};return Ek.runKernel(eb,t)}});var dT=Wk({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:zk(e,"x","leakyRelu")},r={alpha:t};return Ek.runKernel(tb,n,r)}});var fT=Wk({less_:function(e,t){var n=zk(e,"a","less","string_or_numeric"),r=zk(t,"b","less","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(nb,i)}});var mT=Wk({lessEqual_:function(e,t){var n=zk(e,"a","lessEqual","string_or_numeric"),r=zk(t,"b","lessEqual","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(rb,i)}});function vT(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 Ek.runKernel(ab,{},r)}var gT=Wk({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=zk(e,"x","localResponseNormalization");Hv(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n rank "+i.rank+"."})),Hv(Jv(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=PI(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=Ek.runKernel(pb,u,l);return s?PI(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var yT=Wk({log_:function(e){var t={x:zk(e,"x","log","float32")};return Ek.runKernel(ib,t)}});var bT=Wk({log1p_:function(e){var t={x:zk(e,"x","log1p")};return Ek.runKernel(ob,t)}});function xT(e,t){Hv(fg(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Hv(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof pk})),(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=[],Ek.registeredVariables)t.push(Ek.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;t=t.filter((function(e){return e.trainable})),Hv(t.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=Ek.gradients(e,t,null,!0),s=o.value,u=o.grads;Hv(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()."})),Hv(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 wT(e){return Ek.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 NT=Wk({neg_:function(e){var t={x:zk(e,"x","neg")};return Ek.runKernel(Cb,t)}});var IT=Wk({softplus_:function(e){var t={x:zk(e,"x","softplus")};return Ek.runKernel(px,t)}});var ST=Wk({logSigmoid_:function(e){var t=zk(e,"x","logSigmoid"),n=wT((function(e){return{value:NT(IT(NT(e))),gradFunc:function(t){return lI(t,GI(NT(e)))}}}));return n(t)}});var TT=Wk({sub_:function(e,t){var n=zk(e,"a","sub"),r=zk(t,"b","sub"),a=gk(n,r),i={a:n=a[0],b:r=a[1]};return Ek.runKernel(Ax,i)}});var CT=Wk({logSoftmax_:function(e,t){void 0===t&&(t=-1);var n=zk(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);var r=wT((function(e,n){var r=jS(e,t,!0),a=TT(e,r),i=TT(XN(a,"float32"),yT(JS(eT(a),t,!0)));n([i]);return{value:i,gradFunc:function(e,n){var r=n[0],a=eT(r);return TT(e,lI(JS(e,t,!0),a))}}}));return r(n)}});var ET=Wk({logSumExp_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=zk(e,"x","logSumExp"),a=tg(t,r.shape),i=jS(r,a,!0),o=TT(r,i),s=eT(o),u=JS(s,a),l=yT(u),c=oI(PI(i,l.shape),l);if(n){var p=BS(c.shape,a);return PI(c,p)}return c}});var AT=Wk({logicalAnd_:function(e,t){var n=zk(e,"a","logicalAnd","bool"),r=zk(t,"b","logicalAnd","bool");TS(n.shape,r.shape);var a={a:n,b:r};return Ek.runKernel(sb,a)}});var RT=Wk({logicalNot_:function(e){var t={x:zk(e,"x","logicalNot","bool")};return Ek.runKernel(ub,t)}});var _T=Wk({logicalOr_:function(e,t){var n=zk(e,"a","logicalOr","bool"),r=zk(t,"b","logicalOr","bool");TS(n.shape,r.shape);var a={a:n,b:r};return Ek.runKernel(lb,a)}});var FT=Wk({logicalXor_:function(e,t){var n=zk(e,"a","logicalXor","bool"),r=zk(t,"b","logicalXor","bool");return TS(n.shape,r.shape),AT(_T(e,t),RT(AT(e,t)))}}),OT=2147483648;var DT=Wk({searchSorted_:function(e,t,n){void 0===n&&(n="left");var r=zk(e,"sortedSequence","searchSorted"),a=zk(t,"values","searchSorted"),i=r.shape[r.shape.length-1],o=a.shape[a.shape.length-1],s=PI(r,[-1,i]),u=PI(a,[-1,o]);if(s.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(s.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Xv(u.shape)>=OT)throw new Error("values tensor size must less than 2147483648");if(s.shape[1]>=OT)throw new Error("trailing dim_size must less than 2147483648 for int32 output type, was "+s.shape[1]);var l={sortedSequence:s,values:u},c={side:n};return Ek.runKernel(rx,l,c)}});function MT(e,t){return DT(e,t,"left")}var LT=Wk({maxPool_:function(e,t,n,r,a){var i=zk(e,"x","maxPool"),o=i,s=!1;3===i.rank&&(s=!0,o=PI(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Hv(4===o.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.rank+"."})),Hv(DI(n,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"})),zI("maxPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=Ek.runKernel(mb,u,l);return s?PI(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var zT=Wk({maxPool3d_:function(e,t,n,r,a,i){void 0===t&&(t=[1,1,1]),void 0===i&&(i="NDHWC");var o=zk(e,"x","maxPool3d"),s=o,u=!1;4===o.rank&&(u=!0,s=PI(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===s.rank,(function(){return"Error in maxPool3d: x must be rank 5 but got rank "+s.rank+"."})),Hv("NDHWC"===i,(function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),zI("maxPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=Ek.runKernel(gb,l,c);return u?PI(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var PT=Wk({maxPoolWithArgmax_:function(e,t,n,r,a){void 0===a&&(a=!1);var i={x:zk(e,"x","maxPoolWithArgmax")},o={filterSize:t,strides:n,pad:r,includeBatchInIndex:a},s=Ek.runKernel(bb,i,o);return{result:s[0],indexes:s[1]}}});var BT=Wk({maximum_:function(e,t){var n=zk(e,"a","maximum"),r=zk(t,"b","maximum"),a=gk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=XN(n,"int32"),r=XN(r,"int32")),TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(fb,i)}});var WT=Wk({mean_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:zk(e,"x","mean")},a={axis:t,keepDims:n};return Ek.runKernel(xb,r,a)}});function VT(e,t){if(void 0===t&&(t="float32"),Ng(e),"complex64"===t){var n=VT(e,"float32"),r=VT(e,"float32");return Vk(n,r)}var a=wg(Xv(e),t);return Ek.makeTensor(a,e,t)}function UT(e,t){if(void 0===t&&(t="float32"),Ng(e),"complex64"===t){var n=UT(e,"float32"),r=VT(e,"float32");return Vk(n,r)}var a=xg(Xv(e),t);return Ek.makeTensor(a,e,t)}function GT(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=zk(e,"x","meshgrid",e instanceof ak?e.dtype:"float32");if(void 0===t)return[i];var o=zk(t,"y","meshgrid",t instanceof ak?t.dtype:"float32"),s=Xv(i.shape),u=Xv(o.shape);return"xy"===a?(i=PI(i,[1,-1]),o=PI(o,[-1,1]),[UI(UT([u,1],i.dtype),i),UI(o,UT([1,s],o.dtype))]):(i=PI(i,[-1,1]),o=PI(o,[1,-1]),[UI(i,UT([1,u],i.dtype)),UI(UT([s,1],o.dtype),o)])}var jT=Wk({minimum_:function(e,t){var n=zk(e,"a","minimum"),r=zk(t,"b","minimum"),a=gk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=XN(n,"int32"),r=XN(r,"int32")),TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(kb,i)}});var HT=Wk({mirrorPad_:function(e,t,n){Hv("reflect"===n||"symmetric"===n,(function(){return"Invalid mode. Mode must be either reflect or symmetric. Got "+n+"."}));var r=zk(e,"x","mirrorPad");if(0===r.rank)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");Hv(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){Hv(2===t[e].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),Hv(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 Ek.runKernel(Nb,u,s)}});var qT=Wk({mod_:function(e,t){var n=zk(e,"a","mod"),r=zk(t,"b","mod"),a=gk(n,r),i={a:n=a[0],b:r=a[1]};return Ek.runKernel(Ib,i)}});var KT=Wk({moments_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tg(t,(e=zk(e,"x","moments")).shape),a=WT(e,r,n),i=a.shape;n||(i=BS(a.shape,r));var o=YS(TT(XN(e,"float32"),PI(a,i)));return{mean:a,variance:WT(o,r,n)}}});var XT=Wk({multiRNNCell_:function(e,t,n,r){for(var a=zk(t,"data","multiRNNCell"),i=Pk(n,"c","multiRNNCell"),o=Pk(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=[],d=0;d<u.length;d+=2)p.push(u[d]),h.push(u[d+1]);return[p,h]}});var YT=Wk({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=zk(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?PI(a,[1,-1]):a},u={numSamples:t,seed:n,normalized:r},l=Ek.runKernel(Sb,s,u);return 1===o?PI(l,[l.size]):l}});var JT=Wk({notEqual_:function(e,t){var n=zk(e,"a","notEqual","string_or_numeric"),r=zk(t,"b","notEqual","string_or_numeric"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(Eb,i)}});var ZT=Wk({oneHot_:function(e,t,n,r,a){if(void 0===n&&(n=1),void 0===r&&(r=0),void 0===a&&(a="int32"),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);var i={indices:zk(e,"indices","oneHot","int32")},o={dtype:a,depth:t,onValue:n,offValue:r};return Ek.runKernel(Ob,i,o)}});var QT=Wk({onesLike_:function(e){var t={x:zk(e,"x","onesLike")};return Ek.runKernel(Fb,t)}});var $T=Wk({outerProduct_:function(e,t){var n=zk(e,"v1","outerProduct"),r=zk(t,"v2","outerProduct");Hv(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=PI(n,[-1,1]),i=PI(r,[1,-1]);return UI(a,i)}});var eC=Wk({pad_:function(e,t,n){void 0===n&&(n=0);var r=zk(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 Ek.runKernel(Mb,i,a)}});var tC=Wk({pad1d_:function(e,t,n){return void 0===n&&(n=0),Hv(2===t.length,(function(){return"Invalid number of paddings. Must be length of 2."})),eC(e,[t],n)}});var nC=Wk({pad2d_:function(e,t,n){return void 0===n&&(n=0),Hv(2===t.length&&2===t[0].length&&2===t[1].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),eC(e,t,n)}});var rC=Wk({pad3d_:function(e,t,n){return void 0===n&&(n=0),Hv(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."})),eC(e,t,n)}});var aC=Wk({pad4d_:function(e,t,n){return void 0===n&&(n=0),Hv(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. 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Got strides "+i+" and dilations '"+a+"'"}));var c,p=II(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 d=1===h[0]&&1===h[1],f=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=f[0],v=f[1],g=d?r:"valid",y=d?u:iC(u,h,m),b=("avg"===n?function(){return BI(y,t,i,g,o)}:function(){return LT(y,t,i,g,o)})(),x=d?b:KI(b,h,v);return l?PI(x,[x.shape[1],x.shape[2],x.shape[3]]):x}});var sC=Wk({prelu_:function(e,t){var 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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}(),EC=function(){function e(e,t,n,r){this.alpha=e,this.beta=1/t,this.dtype=n;var a=r||Math.random();this.randu=xC(a.toString()),this.randn=new CC(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}(),AC=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=xC(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 RC=Wk({randomGamma_:function(e,t,n,r,a){if(void 0===n&&(n=1),void 0===r&&(r="float32"),Ng(e),null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type "+r);for(var i=new EC(t,n,r,a),o=KN(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var _C=Wk({randomNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),Ng(e),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new CC(t,n,r,!1,a),o=KN(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var FC=Wk({randomStandardNormal_:function(e,t,n){if(null!=t&&"bool"===t)throw new Error("Unsupported data type "+t);return _C(e,0,1,t,n)}});var OC=Wk({randomUniform_:function(e,t,n,r,a){void 0===t&&(t=0),void 0===n&&(n=1),void 0===r&&(r="float32"),Ng(e);for(var i=KN(e,r),o=new AC(t,n,null,a),s=0;s<i.values.length;s++)i.values[s]=o.nextValue();return i.toTensor()}});function DC(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 Ek.runKernel(Ub,{},a)}var MC=Wk({real_:function(e){var t={input:zk(e,"input","real")};return Ek.runKernel(Gb,t)}});var LC=Wk({reciprocal_:function(e){var t={x:zk(e,"x","reciprocal")};return Ek.runKernel(jb,t)}});var zC=Wk({relu_:function(e){var t={x:zk(e,"x","relu")};return Ek.runKernel(Hb,t)}});var PC=Wk({relu6_:function(e){var t={x:zk(e,"x","relu6")};return Ek.runKernel(Zb,t)}});var BC=Wk({reverse_:function(e,t){var n={x:zk(e,"x","reverse")},r={dims:t};return Ek.runKernel(Qb,n,r)}});var WC=Wk({reverse1d_:function(e){var t=zk(e,"x","reverse");return Hv(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+t.rank+"."})),BC(t,0)}});var VC=Wk({reverse2d_:function(e,t){var n=zk(e,"x","reverse");return Hv(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),BC(n,t)}});var UC=Wk({reverse3d_:function(e,t){var n=zk(e,"x","reverse");return Hv(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),BC(n,t)}});var GC=Wk({reverse4d_:function(e,t){var n=zk(e,"x","reverse");return Hv(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),BC(n,t)}});var jC=Wk({round_:function(e){var t={x:zk(e,"x","round")};return Ek.runKernel($b,t)}});var HC=Wk({rsqrt_:function(e){var t={x:zk(e,"x","rsqrt","float32")};return Ek.runKernel(ex,t)}});var qC=Wk({selu_:function(e){var t={x:zk(e,"x","selu")};return Ek.runKernel(ix,t)}});var KC=Wk({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=zk(e,"x","separableConv2d"),u=zk(t,"depthwiseFilter","separableConv2d"),l=zk(n,"pointwiseFilter","separableConv2d"),c=s,p=!1;if(3===s.rank&&(p=!0,c=PI(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");Hv(4===c.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."})),Hv(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(4===l.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(1===l.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter must be 1, but got "+l.shape[0]+"."})),Hv(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],d=u.shape[3];Hv(l.shape[2]===h*d,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*d+", but got "+l.shape[2]+"."}));var f=wS(c,u,r,a,o,i),m=uS(f,l,1,"valid",o);return p?PI(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function XC(){return XC=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h,d;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=zk(t,"x","setdiff1d"),a=zk(n,"y","setdiff1d"),Hv(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x ("+r.dtype+") and y ("+a.dtype+")."})),Hv(1===r.rank,(function(){return"x should be 1D tensor, but got x ("+r.shape+")."})),Hv(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 tk([u],r.dtype),p=new tk([u],"int32"),h=0,d=0;h<i.length;h++)s.has(i[h])||(c.values[d]=i[h],p.values[d]=h,d++);return e.abrupt("return",[c.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),XC.apply(this,arguments)}var YC=function(e,t){return XC.apply(this,arguments)};var JC=Wk({sign_:function(e){var t={x:zk(e,"x","sign")};return Ek.runKernel(lx,t)}});var ZC=Wk({sin_:function(e){var t={x:zk(e,"x","sin","float32")};return Ek.runKernel(sx,t)}});var QC=Wk({sinh_:function(e){var t={x:zk(e,"x","sinh")};return Ek.runKernel(ux,t)}});var $C=Wk({slice1d_:function(e,t,n){var r=zk(e,"x","slice1d");return Hv(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"})),jI(r,[t],[n])}});var eE=Wk({slice2d_:function(e,t,n){var r=zk(e,"x","slice2d");return Hv(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"})),jI(r,t,n)}});var tE=Wk({slice3d_:function(e,t,n){var r=zk(e,"x","slice3d");return Hv(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"})),jI(r,t,n)}});var nE=Wk({slice4d_:function(e,t,n){var r=zk(e,"x","slice4d");return Hv(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"})),jI(r,t,n)}});var rE=Wk({softmax_:function(e,t){void 0===t&&(t=-1);var n=zk(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 Ek.runKernel(vx,r,a)}});var aE=Wk({fft_:function(e){Hv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return Ek.runKernel(By,t)}});var iE=Wk({ifft_:function(e){Hv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return Ek.runKernel(Jy,t)}});var oE=Wk({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=PI(e,[r,n]);t=iE(a)}else{var i=[r,2*(n-1)],o=PI(MC(e),[r,n]),s=PI(lT(e),[r,n]),u=BC(jI(o,[0,1],[r,n-2]),1),l=lI(BC(jI(s,[0,1],[r,n-2]),1),KS(-1)),c=VI([o,u],1),p=VI([s,l],1),h=PI(Vk(c,p),[i[0],i[1]]);t=iE(h)}if(t=MC(t),3===e.rank&&0!==e.shape[0]){var d=t,f=e.shape[0];t=PI(t,[f,t.shape[0]/f,t.shape[1]]),d.dispose()}return t}});var sE=Wk({split_:function(e,t,n){void 0===n&&(n=0);var r={x:zk(e,"x","split")},a={numOrSizeSplits:t,axis:n};return Ek.runKernel(mx,r,a)}});var uE=Wk({rfft_:function(e,t){Hv("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=jI(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=VI([e,VT(s)],e.shape.length-1),r=t}else n=e;var u=RS(n),l=PI(Vk(n,u),[a,r]),c=aE(l),p=Math.floor(r/2)+1,h=MC(c),d=lT(c),f=sE(h,[p,r-p],h.shape.length-1),m=sE(d,[p,r-p],d.shape.length-1),v=n.shape.slice();return v[n.shape.length-1]=p,PI(Vk(f[0],m[0]),v)}});var lE=Wk({squaredDifference_:function(e,t){var n=zk(e,"a","squaredDifference"),r=zk(t,"b","squaredDifference"),a=gk(n,r);n=a[0],r=a[1],TS(n.shape,r.shape);var i={a:n,b:r};return Ek.runKernel(kx,i,{})}});var cE=Wk({squeeze_:function(e,t){var n=zk(e,"x","squeeze","string_or_numeric");return PI(n,ng(n.shape,t).newShape)}});var pE=Wk({stack_:function(e,t){void 0===t&&(t=0);var n=Pk(e,"tensors","stack","string_or_numeric");Hv(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&Hv(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return Ek.runKernel(Db,r,a)}});var hE=Wk({step_:function(e,t){void 0===t&&(t=0);var n={x:zk(e,"x","step")},r={alpha:t};return Ek.runKernel(Wx,n,r)}});var dE=Wk({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:zk(e,"x","stridedSlice","string_or_numeric")},c={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return Ek.runKernel(Sx,l,c)}});var fE=Wk({tan_:function(e){var t={x:zk(e,"x","tan","float32")};return Ek.runKernel(Rx,t)}});function mE(e,t){Kv(e);var n=Dk(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return Uk(e,null,n,t)}function vE(e,t,n){if(Kv(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=Dk(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 Uk(e,t,r,n)}function gE(e,t,n){if(Kv(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=Dk(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 Uk(e,t,r,n)}function yE(e,t,n){if(Kv(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=Dk(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 Uk(e,t,r,n)}function bE(e,t,n){if(Kv(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=Dk(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 Uk(e,t,r,n)}function xE(e,t,n){if(Kv(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=Dk(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 Uk(e,t=t||r,r,n)}function wE(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 kE(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)}wE(n,t,e)}function NE(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:Xv(t.shape)/u,sliceSize:o,strides:[].concat(vg(n.slice(0,a)),[1]),outputSize:Xv(n)}}var IE={__proto__:null,validateUpdateShape:wE,validateInput:kE,calculateShapes:NE};var SE=Wk({tensorScatterUpdate_:function(e,t,n){var r=zk(e,"tensor","tensorScatterupdate"),a=zk(t,"indices","tensorScatterupdate","int32"),i=zk(n,"updates","tensorScatterupdate");if(kE(i,a,r.shape),r.dtype!==i.dtype)throw new Error("tensor and updates must have the same dtype, instead they are "+r.dtype+" and "+i.dtype+".");var o={tensor:r,indices:a,updates:i};return Ek.runKernel(nx,o,{})}});var TE=Wk({topk_:function(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=zk(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=Ek.runKernel(Ox,i,o);return{values:s[0],indices:s[1]}}});var CE=Wk({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),Ng(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new CC(t,n,r,!0,a),o=KN(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var EE=Wk({unique_:function(e,t){void 0===t&&(t=0);var n=zk(e,"x","unique","string_or_numeric");Hv(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=Ek.runKernel(Lx,r,a);return{values:i[0],indices:i[1]}}});var AE=Wk({unsortedSegmentSum_:function(e,t,n){var r=zk(e,"x","unsortedSegmentSum"),a=zk(t,"segmentIds","unsortedSegmentSum","int32");Hv(Jv(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return Ek.runKernel(Px,i,o)}});var RE=Wk({unstack_:function(e,t){void 0===t&&(t=0);var n=zk(e,"x","unstack","string_or_numeric");Hv(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 Ek.runKernel(zx,r,a)}});function _E(e,t){return DT(e,t,"right")}function FE(e,t,n,r){return void 0===t&&(t=!0),Ek.makeVariable(e,t,n,r)}function OE(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=KN(e,"int32"),i=KN([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 DE(){return(DE=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=zk(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=OE(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var ME=function(e){return DE.apply(this,arguments)};function LE(){return LE=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,d,f,m,v;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=zk(t,"tensor","boolMask"),i=zk(n,"mask","boolMask","bool"),o=null==r?0:r,s=i.rank,u=a.shape,Hv(s>0,(function(){return"mask cannot be scalar"})),qv(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=PI(a,p),d=PI(i,[-1]),e.next=14,ME(d);case 14:return f=e.sent,m=cE(f,[1]),v=oT(h,m,o),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),h.dispose(),d.dispose(),f.dispose(),e.abrupt("return",v);case 24:case"end":return e.stop()}}),e)}))),LE.apply(this,arguments)}var zE=function(e,t,n){return LE.apply(this,arguments)};var PE=Wk({transpose_:function(e,t,n){var r=zk(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),Hv(r.rank===t.length,(function(){return"Error in transpose: rank of input "+r.rank+" must match length of perm "+t+"."})),t.forEach((function(e){Hv(e>=0&&e<r.rank,(function(){return"All entries in 'perm' must be between 0 and "+(r.rank-1)+" but got "+t}))})),r.rank<=1)return r.clone();var a={x:r},i={perm:t};return"complex64"===r.dtype?eI((function(){var e=MC(r),t=lT(r);return e=Ek.runKernel(Mx,{x:e},i),t=Ek.runKernel(Mx,{x:t},i),n&&(t=NT(t)),Vk(e,t)})):Ek.runKernel(Mx,a,i)}});var BE=Wk({movingAverage_:function(e,t,n,r,a){void 0===a&&(a=!0);var i=zk(e,"v","movingAverage"),o=zk(t,"x","movingAverage"),s=zk(n,"decay","movingAverage");yk(i,o),Hv(Yv(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=KS(1),l=TT(u,s),c=lI(TT(o,i),l);if(a){Hv(null!=r,(function(){return"When using zeroDebias: 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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 Ek.runKernel(wx,s,u)}});var UE=Wk({gatherND_:function(e,t){var n=zk(t,"indices","gatherND","int32"),r={params:zk(e,"x","gatherND","string_or_numeric"),indices:n};return Ek.runKernel(qy,r)}});var GE=Wk({dropout_:function(e,t,n,r){var a=zk(e,"x","dropout");if(Hv("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."})),Hv(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got "+t+"."})),0===t)return e instanceof ak?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(Yv(e.shape,t))return t;if(e.shape.length===t.length){for(var 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s=e;3===e.rank&&(s=PI(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=PI(t,[1,t.shape[0],t.shape[1],t.shape[2]])),Hv(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."})),Hv(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];Hv(l===n[2],(function(){return"Error in conv2dDerFilter: depth of input "+l+") must match input depth in filter ("+n[2]+"."})),Hv(c===n[3],(function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must match output depth for filter ("+n[3]+")."})),zI("conv2dDerFilter",a,o);var p={x:s,dy:u},h={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,filterShape:n};return Ek.runKernel(py,p,h)}});function YE(e,t,n){if(null==n||"linear"===n)return e;if("relu"===n)return lI(e,hE(t));throw new Error("Cannot compute gradient for fused activation "+n+".")}function JE(e,t){var n=t,r=SS(e.shape,t.shape);return r.length>0&&(n=JS(n,r)),PI(n,e.shape)}function ZE(e,t,n,r){if("linear"===t)return e;if("relu"===t)return zC(e);if("elu"===t)return DS(e);if("relu6"===t)return PC(e);if("prelu"===t)return sC(e,n);if("leakyrelu"===t)return dT(e,r);if("sigmoid"===t)return GI(e);throw new Error("Unknown fused activation "+t+".")}var QE=function(e,t){return!(e>0)||"linear"===t};var $E=Wk({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.bias,p=e.activation,h=void 0===p?"linear":p,d=e.preluActivationWeights,f=e.leakyreluAlpha;if(h=h||"linear",!1===QE(Ek.state.gradientDepth,h)){Hv("NHWC"===o,(function(){return"Error in fused conv2d: got dataFormat of "+o+" but only NHWC is currently supported for the case of gradient depth is 0 and the 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a||o?!a&&o?(n=UI(h,u,!1,!1),r=UI(h,i,!0,!1)):a&&!o?(n=UI(u,h,!1,!0),r=UI(i,h,!1,!1)):(n=UI(u,h,!0,!0),r=UI(h,i,!0,!0)):(n=UI(h,u,!1,!0),r=UI(i,h,!0,!1)),null!=s?[n,r,JE(p,h)]:[n,r]},_={a:E,b:A,bias:S,preluActivationWeights:T},F={transposeA:a,transposeB:o,activation:l,leakyreluAlpha:h};if(null==s){var O=wT((function(e,t,n){var r=Ek.runKernel(Gx,_,F);return n([e,t,r]),{value:PI(r,C),gradFunc:R}}));return O(E,A)}var D=wT((function(e,t,n,r){var a=Ek.runKernel(Gx,_,F);return r([e,t,a,n]),{value:PI(a,C),gradFunc:R}}));return D(E,A,S)}}),aA={__proto__:null,conv2d:$E,depthwiseConv2d:nA,matMul:rA};var iA=Wk({hammingWindow_:function(e){return HE(e,.54,.46)}});var oA=Wk({hannWindow_:function(e){return HE(e,.5,.5)}});var sA=Wk({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(jI(e,i,t)),i+=n;if(r)for(;i<e.size;){var s=i+t-e.size,u=VI([jI(e,i,t-s),nS([s],a)]);o.push(u),i+=n}return 0===o.length?vE([],[0,t]):PI(VI(o),[o.length,t])}});var uA=Wk({stft_:function(e,t,n,r,a){void 0===a&&(a=oA),null==r&&(r=jE(t));var i=sA(e,t,n),o=lI(i,a(t));return uE(o,r)}});var lA=Wk({cropAndResize_:function(e,t,n,r,a,i){void 0===a&&(a="bilinear"),void 0===i&&(i=0);var o=zk(e,"image","cropAndResize"),s=zk(t,"boxes","cropAndResize","float32"),u=zk(n,"boxInd","cropAndResize","int32"),l=s.shape[0];Hv(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."})),Hv(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."})),Hv(1===u.rank&&u.shape[0]===l,(function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."})),Hv(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),Hv(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),Hv("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 Ek.runKernel(xy,c,p)}});var cA=Wk({flipLeftRight_:function(e){var t=zk(e,"image","flipLeftRight","float32");Hv(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,but got rank "+t.rank+"."}));var n={image:t};return Ek.runKernel(Vy,n,{})}});var pA=Wk({grayscaleToRGB_:function(e){var t=zk(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];Hv(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, but got rank "+t.rank+"."})),Hv(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,rT(t,a)}});var hA=Wk({rotateWithOffset_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=.5);var a=zk(e,"image","rotateWithOffset","float32");Hv(4===a.rank,(function(){return"Error in rotateWithOffset: image must 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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]),d=(s-i)*(u-o),f=(p-l)*(h-c);if(d<=0||f<=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/(d+f-b)}function kA(e,t,n){var r=Math.exp(t*n*n);return n<=e?r:0}function NA(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}function IA(){return(IA=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,d;return kv().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=zk(t,"boxes","nonMaxSuppressionAsync"),s=zk(n,"scores","nonMaxSuppressionAsync"),u=dA(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=gA(c,p,r,a,i),d=h.selectedIndices,o!==t&&o.dispose(),s!==n&&s.dispose(),e.abrupt("return",mE(d,"int32"));case 17:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var SA=function(e,t,n,r,a){return IA.apply(this,arguments)};var TA=Wk({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=zk(e,"boxes","nonMaxSuppression"),s=zk(t,"scores","nonMaxSuppression"),u=dA(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=Ek.runKernel(_b,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}});function CA(){return(CA=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,d,f,m;return kv().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=zk(t,"boxes","nonMaxSuppressionAsync"),u=zk(n,"scores","nonMaxSuppressionAsync"),l=dA(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],d=bA(p,h,r,a,i,o),f=d.selectedIndices,m=d.selectedScores,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:mE(f,"int32"),selectedScores:mE(m)});case 19:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var EA=function(e,t,n,r,a,i){return CA.apply(this,arguments)};var AA=Wk({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=zk(e,"boxes","nonMaxSuppression"),s=zk(t,"scores","nonMaxSuppression"),u=dA(o,s,n,r,a,null),l={boxes:o,scores:s},c={maxOutputSize:u.maxOutputSize,iouThreshold:u.iouThreshold,scoreThreshold:u.scoreThreshold,padToMaxOutputSize:i},p=Ek.runKernel(Rb,l,c);return{selectedIndices:p[0],validOutputs:p[1]}}});function RA(){return(RA=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,d,f,m,v,g,y;return kv().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=zk(t,"boxes","nonMaxSuppressionAsync"),u=zk(n,"scores","nonMaxSuppressionAsync"),l=dA(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 d=e.sent,f=d[0],m=d[1],v=yA(f,m,c,p,h,o),g=v.selectedIndices,y=v.validOutputs,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:mE(g,"int32"),validOutputs:KS(y,"int32")});case 18:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var _A=function(e,t,n,r,a,i){return RA.apply(this,arguments)};var FA=Wk({resizeBilinear_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=zk(e,"images","resizeBilinear");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+t+"."})),Hv(!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=PI(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Ek.runKernel(Yb,s,u);return o?PI(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var OA=Wk({resizeNearestNeighbor_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=zk(e,"images","resizeNearestNeighbor");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+t+"."})),Hv("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),Hv(!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=PI(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Ek.runKernel(Kb,s,u);return o?PI(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var DA=Wk({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=zk(e,"image","threshold"),l=u.shape[0]*u.shape[1],c=lI(mE([r]),255);if(Hv(3===u.rank,(function(){return"Error in threshold: image must be rank 3,but got rank "+u.rank+"."})),Hv(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]+"."})),Hv("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,but got dtype "+u.dtype+"."})),Hv("otsu"===t||"binary"===t,(function(){return"Method must be binary or otsu, but was "+t})),3===u.shape[2]){var p=sE(u,[1,1,1],-1);a=p[0],i=p[1],o=p[2];var h=lI(a,.2989),d=lI(i,.587),f=lI(o,.114);s=oI(oI(h,d),f)}else s=e;"otsu"===t&&(c=function(e,t){for(var n,r,a,i,o,s,u=mE([-1]),l=mE([0]),c=mE([0]),p=0;p<e.size-1;p++){n=jI(e,0,p+1),r=jI(e,p+1),o=uI(JS(n),t),s=uI(JS(r),t);var h=JS(lI(n,DC(0,n.size)));a=uI(h,JS(n));var d=nS(r.shape,n.size),f=oI(DC(0,r.size),d),m=lI(r,f);i=uI(JS(m),JS(r));var v=TT(a,i),g=TT(a,i),y=lI(o,s);c=lI(lI(y,v),g);var b=sT(c,l);l=AS(b,c,l),u=AS(b,mE([p]),u)}return u}(QI(XN(jC(s),"int32"),Gk([]),256),l));var m=n?mT(s,c):sT(s,c);return XN(lI(m,255),"int32")}});var MA=Wk({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=zk(e,"image","transform","float32"),s=zk(t,"transforms","transform","float32");Hv(4===o.rank,(function(){return"Error in transform: image must be rank 4,but got rank "+o.rank+"."})),Hv(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"})),Hv(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 Ek.runKernel(Dx,u,l)}});var LA=Wk({bandPart_:function(e,t,n){var r=zk(e,"a","bandPart");Hv(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got "+r.rank+"."}));var a,i,o=r.shape,s=r.shape.slice(-2),u=s[0],l=s[1];"number"==typeof t?(Hv(t%1==0,(function(){return"bandPart(): numLower must be an integer, got "+t+"."})),Hv(t<=u,(function(){return"bandPart(): numLower ("+t+") 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n=e[0].shape[0],r=function(t){Hv(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=sE(e,e.shape[0],0).map((function(e){return cE(e,[0])}))),Hv(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(Ek.tidy((function(){var t=r[e];if(e>0)for(var a=0;a<e;++a){var i=lI(JS(lI(n[a],t)),n[a]);t=TT(t,i)}return uI(t,QS(t,"euclidean"))})))},i=0;i<e.length;++i)a(i);return t?pE(n,0):n}});function PA(e,t){return void 0===t&&(t=!1),Ek.tidy((function(){Hv(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=aT(n),i=YN(e),o=vE([[1]],[1,1]),s=YN(o),u=n>=r?r:n,l=function(e){var t=i,u=s,l=a,c=Ek.tidy((function(){var t=jI(i,[e,e],[n-e,1]),u=QS(t),l=jI(i,[e,e],[1,1]),c=AS(sT(l,0),vE([[-1]]),vE([[1]])),p=TT(l,lI(c,u)),h=uI(t,p);s=1===h.shape[0]?YN(o):VI([o,jI(h,[1,0],[h.shape[0]-1,h.shape[1]])],0);var d=NT(uI(UI(c,p),u)),f=jI(i,[e,0],[n-e,r]),m=lI(d,s),v=PE(s);if(0===e)i=TT(f,UI(m,UI(v,f)));else{var g=TT(f,UI(m,UI(v,f)));i=VI([jI(i,[0,0],[e,r]),g],0)}var y=PE(m),b=jI(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=TT(b,UI(UI(b,s),y));else{var x=TT(b,UI(UI(b,s),y));a=VI([jI(a,[0,0],[n,e]),x],1)}return[s,i,a]}));s=c[0],i=c[1],a=c[2],tI([t,u,l])},c=0;c<u;++c)l(c);return!t&&n>r&&(a=jI(a,[0,0],[n,r]),i=jI(i,[0,0],[r,r])),[a,i]}))}var BA,WA=Wk({qr_:function(e,t){if(void 0===t&&(t=!1),Hv(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank "+e.rank})),2===e.rank)return PA(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=RE(PI(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],i=[];return r.forEach((function(e){var n=PA(e,t),r=n[0],o=n[1];a.push(r),i.push(o)})),[PI(pE(a,0),e.shape),PI(pE(i,0),e.shape)]}});(BA=e.Reduction||(e.Reduction={}))[BA.NONE=0]="NONE",BA[BA.MEAN=1]="MEAN",BA[BA.SUM=2]="SUM",BA[BA.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";var VA=Wk({computeWeightedLoss_:function(t,n,r){void 0===r&&(r=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=zk(t,"losses","computeWeightedLoss"),i=null;null!=n&&(i=zk(n,"weights","computeWeightedLoss"));var o=null==i?a:lI(a,i);if(r===e.Reduction.NONE)return o;if(r===e.Reduction.SUM)return JS(o);if(r===e.Reduction.MEAN){if(null==i)return WT(o);var s=a.size/i.size,u=uI(JS(o),JS(i));return s>1?uI(u,KS(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return uI(JS(o),KS(a.size));var l=lI(i,UT(a.shape)),c=XN(JS(JT(l,KS(0))),"float32");return uI(JS(o),c)}throw Error("Unknown reduction: "+r)}});var UA=Wk({absoluteDifference_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=zk(t,"labels","absoluteDifference"),o=zk(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=zk(r,"weights","absoluteDifference")),qv(i.shape,o.shape,"Error in absoluteDifference: ");var u=cI(TT(i,o));return VA(u,s,a)}});var GA=Wk({cosineDistance_:function(t,n,r,a,i){void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=zk(t,"labels","cosineDistance"),s=zk(n,"predictions","cosineDistance"),u=null;null!=a&&(u=zk(a,"weights","cosineDistance")),qv(o.shape,s.shape,"Error in cosineDistance: ");var l=KS(1),c=TT(l,JS(lI(o,s),r,!0));return VA(c,u,i)}});var jA=Wk({hingeLoss_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=zk(t,"labels","hingeLoss"),o=zk(n,"predictions","hingeLoss"),s=null;null!=r&&(s=zk(r,"weights","hingeLoss")),qv(i.shape,o.shape,"Error in hingeLoss: ");var u=KS(1);i=TT(lI(KS(2),i),u);var l=zC(TT(u,lI(i,o)));return VA(l,s,a)}});var HA=Wk({huberLoss_:function(t,n,r,a,i){void 0===a&&(a=1),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=zk(t,"labels","huberLoss"),s=zk(n,"predictions","huberLoss"),u=null;null!=r&&(u=zk(r,"weights","huberLoss")),qv(o.shape,s.shape,"Error in huberLoss: ");var l=KS(a),c=cI(TT(s,o)),p=jT(c,l),h=TT(c,p),d=oI(lI(KS(.5),YS(p)),lI(l,h));return VA(d,u,i)}});var qA=Wk({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=zk(t,"labels","logLoss"),s=zk(n,"predictions","logLoss"),u=null;null!=r&&(u=zk(r,"weights","logLoss")),qv(o.shape,s.shape,"Error in logLoss: ");var l=KS(1),c=KS(a),p=NT(lI(o,yT(oI(s,c)))),h=lI(TT(l,o),yT(oI(TT(l,s),c))),d=TT(p,h);return VA(d,u,i)}});var KA=Wk({meanSquaredError_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=zk(t,"labels","meanSquaredError"),o=zk(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=zk(r,"weights","meanSquaredError")),qv(i.shape,o.shape,"Error in meanSquaredError: ");var u=lE(i,o);return VA(u,s,a)}});var XA=Wk({sigmoidCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=zk(t,"multiClassLabels","sigmoidCrossEntropy"),s=zk(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=zk(r,"weights","sigmoidCrossEntropy")),qv(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var l=KS(a),c=KS(1),p=KS(.5);o=oI(lI(o,TT(c,l)),lI(p,l))}var h=function(e,t){var n=zk(e,"labels","sigmoidCrossEntropyWithLogits"),r=zk(t,"logits","sigmoidCrossEntropyWithLogits");qv(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=zC(r),i=lI(r,n),o=bT(eT(NT(cI(r))));return oI(TT(a,i),o)}(o,s);return VA(h,u,i)}});var YA=Wk({softmaxCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=zk(t,"onehotLabels","softmaxCrossEntropy"),s=zk(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=zk(r,"weights","softmaxCrossEntropy")),qv(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var l=KS(a),c=KS(1),p=KS(o.shape[1]);o=oI(lI(o,TT(c,l)),uI(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);var r=wT((function(e,t,r){var a=ET(t,[n],!0),i=TT(XN(t,"float32"),a);r([e,i]);var o=NT(lI(i,e));return{value:JS(o,[n]),gradFunc:function(e,t){var r=t[0],a=t[1],i=BS(e.shape,[n]);return[lI(PI(e,i),TT(XN(r,"float32"),eT(a))),lI(PI(e,i),TT(eT(a),XN(r,"float32")))]}}}));return r(e,t)}(o,s);return VA(h,u,i)}});var JA=Wk({sparseFillEmptyRows_:function(e,t,n,r){var a=zk(e,"indices","sparseFillEmptyRows","int32"),i=zk(t,"values","sparseFillEmptyRows"),o=zk(n,"denseShape","sparseFillEmptyRows","int32"),s=zk(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=Ek.runKernel(gx,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}});var ZA=Wk({sparseReshape_:function(e,t,n){var r=zk(e,"inputIndices","sparseReshape","int32"),a=zk(t,"inputShape","sparseReshape","int32"),i=zk(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=Ek.runKernel(yx,o);return{outputIndices:s[0],outputShape:s[1]}}});var QA=Wk({sparseSegmentMean_:function(e,t,n){var r=zk(e,"data","sparseSegmentMean"),a=zk(t,"indices","sparseSegmentMean","int32"),i=zk(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 Ek.runKernel(bx,o)}});var $A=Wk({sparseSegmentSum_:function(e,t,n){var r=zk(e,"data","sparseSegmentSum"),a=zk(t,"indices","sparseSegmentSum","int32"),i=zk(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 Ek.runKernel(xx,o)}});var eR=Wk({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=zk(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=zk(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=Ek.runKernel(Tx,p,c);return{nGrams:h[0],nGramsSplits:h[1]}}});var tR=Wk({stringSplit_:function(e,t,n){void 0===n&&(n=!0);var r=zk(e,"input","stringSplit","string"),a=zk(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=Ek.runKernel(Cx,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var nR=Wk({stringToHashBucketFast_:function(e,t){var n=zk(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 Ek.runKernel(Ex,a,r)}});var rR=Wk({staticRegexReplace_:function(e,t,n,r){void 0===r&&(r=!0);var a=zk(e,"input","staticRegexReplace","string"),i={pattern:t,rewrite:n,replaceGlobal:r};return Ek.runKernel(Ix,{x:a},i)}}),aR={fft:aE,ifft:iE,rfft:uE,irfft:oE},iR={hammingWindow:iA,hannWindow:oA,frame:sA,stft:uA},oR={flipLeftRight:cA,grayscaleToRGB:pA,resizeNearestNeighbor:OA,resizeBilinear:FA,rotateWithOffset:hA,cropAndResize:lA,nonMaxSuppression:fA,nonMaxSuppressionAsync:SA,nonMaxSuppressionWithScore:TA,nonMaxSuppressionWithScoreAsync:EA,nonMaxSuppressionPadded:AA,nonMaxSuppressionPaddedAsync:_A,threshold:DA,transform:MA},sR={bandPart:LA,gramSchmidt:zA,qr:WA},uR={absoluteDifference:UA,computeWeightedLoss:VA,cosineDistance:GA,hingeLoss:jA,huberLoss:HA,logLoss:qA,meanSquaredError:KA,sigmoidCrossEntropy:XA,softmaxCrossEntropy:YA},lR={sparseFillEmptyRows:JA,sparseReshape:ZA,sparseSegmentMean:QA,sparseSegmentSum:$A},cR={stringNGrams:eR,stringSplit:tR,stringToHashBucketFast:nR,staticRegexReplace:rR},pR=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),hR=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 dR(e){Hv(null!=e.className,(function(){return"Class being registered does not have the static className property defined."})),Hv("string"==typeof e.className,(function(){return"className is required to be a string, but got type "+typeof e.className})),Hv(e.className.length>0,(function(){return"Class being registered has an empty-string as its className, which is disallowed."})),hR.register(e)}var fR={__proto__:null,Serializable:pR,SerializationMap:hR,registerClass:dR},mR=function(e){function t(){return e.apply(this,arguments)||this}Cv(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 tI(i),t?a:(a.dispose(),null)},n.incrementIterations=function(){this.iterations_=this.iterations+1},n.computeGradients=function(e,t){return xT(e,t)},n.dispose=function(){null!=this.iterations_&&tI(this.iterations_)},n.saveIterations=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:KS(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){return kv().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=Iv(kv().mark((function e(t){return kv().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)}}(),Tv(t,[{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}}]),t}(pR);Object.defineProperty(mR,Symbol.hasInstance,{value:function(e){return null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients}});var vR=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=Ek.backend.epsilon()),a}Cv(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=Ek.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:eI((function(){return RS(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:eI((function(){return RS(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;eI((function(){var e=oI(lI(o,t.rho),lI(YS(i),1-t.rho)),n=lI(uI(XS(oI(s,t.epsilon)),XS(oI(o,t.epsilon))),i),r=oI(lI(s,t.rho),lI(YS(n),1-t.rho));o.assign(e),s.assign(r);var u=oI(lI(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedUpdates&&(tI(this.accumulatedGrads.map((function(e){return e.variable}))),tI(this.accumulatedUpdates.map((function(e){return e.variable}))))},n.getWeights=function(){var e=Iv(kv().mark((function e(){var t;return kv().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=Iv(kv().mark((function e(t){var n;return kv().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)},Tv(t,null,[{key:"className",get:function(){return"Adadelta"}}]),t}(mR),gR=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}Cv(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=Ek.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:n+"/accumulator",variable:eI((function(){return nS(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;eI((function(){var e=oI(o,YS(i));o.assign(e);var n=oI(lI(uI(i,XS(oI(e,Ek.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedGrads&&tI(this.accumulatedGrads.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){return kv().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)},Tv(t,null,[{key:"className",get:function(){return"Adagrad"}}]),t}(mR),yR=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=[],eI((function(){i.accBeta1=KS(n).variable(),i.accBeta2=KS(r).variable()})),null==a&&(i.epsilon=Ek.backend.epsilon()),i}Cv(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);eI((function(){var r=TT(1,t.accBeta1),a=TT(1,t.accBeta2);n.forEach((function(n,i){var o=Ek.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:eI((function(){return RS(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:n+"/v",variable:eI((function(){return RS(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=oI(lI(u,t.beta1),lI(s,1-t.beta1)),p=oI(lI(l,t.beta2),lI(YS(s),1-t.beta2)),h=uI(c,r),d=uI(p,a);u.assign(c),l.assign(p);var f=oI(lI(uI(h,oI(XS(d),t.epsilon)),-t.learningRate),o);o.assign(f)}})),t.accBeta1.assign(lI(t.accBeta1,t.beta1)),t.accBeta2.assign(lI(t.accBeta2,t.beta2))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&tI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&tI(this.accumulatedSecondMoment.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){var t;return kv().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=Iv(kv().mark((function e(t){var n,r=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,eI((function(){r.accBeta1.assign(qS(r.beta1,r.iterations_+1)),r.accBeta2.assign(qS(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)},Tv(t,null,[{key:"className",get:function(){return"Adam"}}]),t}(mR),bR=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=[],eI((function(){o.iteration=KS(0).variable(),o.accBeta1=KS(n).variable()})),null==a&&(o.epsilon=Ek.backend.epsilon()),o}Cv(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);eI((function(){var r=TT(1,t.accBeta1),a=uI(-t.learningRate,oI(lI(t.iteration,t.decay),1));n.forEach((function(n,i){var o=Ek.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:RS(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:n+"/v",variable:RS(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=oI(lI(u,t.beta1),lI(s,1-t.beta1)),p=lI(l,t.beta2),h=cI(s),d=BT(p,h);u.assign(c),l.assign(d);var f=oI(lI(uI(a,r),uI(c,oI(d,t.epsilon))),o);o.assign(f)}})),t.iteration.assign(oI(t.iteration,1)),t.accBeta1.assign(lI(t.accBeta1,t.beta1))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&tI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&tI(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){return kv().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)},Tv(t,null,[{key:"className",get:function(){return"Adamax"}}]),t}(mR),xR=function(e){function t(t){var n;return(n=e.call(this)||this).learningRate=t,n.setLearningRate(t),n}Cv(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=Ek.registeredVariables[n];eI((function(){var e=oI(lI(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()},n.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=nI(KS(-e))},n.dispose=function(){this.c.dispose()},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){return kv().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 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e,n=oI(lI(t.m,i),o);e=t.useNesterov?oI(lI(t.c,oI(o,lI(n,t.m))),a):oI(lI(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()},n.dispose=function(){this.m.dispose(),null!=this.accumulations&&tI(this.accumulations.map((function(e){return e.variable})))},n.setMomentum=function(e){this.momentum=e},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 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t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Ek.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:eI((function(){return RS(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:n+"/momentum",variable:eI((function(){return RS(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:eI((function(){return RS(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;eI((function(){var e=oI(lI(s,t.decay),lI(YS(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=oI(lI(n,t.decay),lI(o,1-t.decay)),l=uI(lI(o,t.learningRate),XS(TT(e,oI(YS(i),t.epsilon)))),c=oI(lI(u,t.momentum),l);s.assign(e),n.assign(i),u.assign(c);var p=TT(a,c);a.assign(p)}else{var h=oI(lI(s,t.decay),lI(YS(o),1-t.decay)),d=oI(lI(u,t.momentum),uI(lI(o,t.learningRate),XS(oI(h,t.epsilon))));s.assign(h),u.assign(d);var f=TT(a,d);a.assign(f)}}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedMeanSquares&&tI(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&tI(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&tI(this.accumulatedMoments.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){var t;return kv().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=Iv(kv().mark((function e(t){var n,r;return kv().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)},Tv(t,null,[{key:"className",get:function(){return"RMSProp"}}]),t}(mR),NR=[vR,gR,yR,bR,wR,kR,xR];function IR(e){return new Promise((function(e){return setTimeout(e)})).then(e)}var SR=function(){function e(t){if(!Fg().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=Iv(kv().mark((function e(t){var n,r,a,i,o,s;return kv().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 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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=Iv(kv().mark((function e(){var t=this;return kv().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=rN(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+"'. 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Got: "+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=null==t.mode?"fanIn":t.mode,r=n.mode,lD(tM,"FanMode",r),n.distribution=null==t.distribution?"normal":t.distribution,function(e){lD(nM,"Distribution",e)}(n.distribution),n.seed=t.seed,n}Cv(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"),ID(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if("channelsFirst"===t){var a=DD(e,2);n=e[1]*a,r=e[0]*a}else if("channelsLast"===t){var i=DD(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var o=DD(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 qO(this.getClassName()+" does not support dType "+t+".");return CE(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return OC(e,-s,s,t,this.seed)},n.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t}(rM);pM.className="VarianceScaling",dR(pM);var hM=function(e){function t(t){return e.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);hM.className="GlorotUniform",dR(hM);var dM=function(e){function t(t){return e.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);dM.className="GlorotNormal",dR(dM);var fM=function(e){function t(t){return e.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);fM.className="HeNormal",dR(fM);var mM=function(e){function t(t){return e.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);mM.className="HeUniform",dR(mM);var vM=function(e){function t(t){return e.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);vM.className="LeCunNormal",dR(vM);var gM=function(e){function t(t){return e.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==t?null:t.seed})||this}return Cv(t,e),t.prototype.getClassName=function(){return pM.className},t}(pM);gM.className="LeCunUniform",dR(gM);var yM=function(e){function t(t){var n;return(n=e.call(this)||this).DEFAULT_GAIN=1,n.ELEMENTS_WARN_SLOW=2e3,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,n}Cv(t,e);var n=t.prototype;return n.apply=function(e,t){var n=this;return eI((function(){if(e.length<2)throw new qO("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type "+t+".");var r=Xv(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more than "+n.ELEMENTS_WARN_SLOW+" ("+i+") elements: Slowness may result.");var o=KD([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=sR.qr(o,!1),u=s[0],l=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=lI(u,l.sign()),r<a&&(u=u.transpose()),lI(KS(n.gain),u.reshape(e))}))},n.getConfig=function(){return{gain:this.gain,seed:this.seed}},t}(rM);yM.className="Orthogonal",dR(yM);var bM={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 xM(e,t){return void 0===t&&(t={}),iD(e,hR.getMap().classNameMap,t,"initializer")}function wM(e){return rD(e)}function kM(e){if("string"==typeof e){var t=e in bM?bM[e]:e;if("GlorotNormal"===t)return new dM;if("GlorotUniform"===t)return new hM;if("HeNormal"===t)return new fM;if("HeUniform"===t)return new mM;if("LeCunNormal"===t)return new vM;if("LeCunUniform"===t)return new gM;var n={};return n.className=t,n.config={},xM(n)}return e instanceof rM?e:xM(e)}function NM(e){return Array.isArray(e)&&Array.isArray(e[0])}function IM(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function SM(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new HO("Expected Tensor length to be 1; got "+e.length);t=e[0]}else t=e;return t}function TM(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new HO("Expected exactly 1 Shape; got "+e.length)}return e}function CM(e){for(var t,n=0,r=Lv(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 EM="Variable",AM=function(){function e(e,t,n,r,a){void 0===t&&(t="float32"),void 0===n&&(n=EM),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=mD(),n=null==n?EM:n,this.originalName=AD(n),this.name=RD(this.originalName),this.trainable_=r,this.constraint=a,this.val=FE(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.")},Tv(e,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function RM(e){return e.map((function(e){return e.read()}))}function _M(e){e.forEach((function(e){e[0].write(e[1])}))}var FM=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||{}},OM=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=mD(),null!=i&&(this.originalName=AD(i),this.name=RD(this.originalName)),this.rank=t.length},DM=0,MM=function(){function e(e,t){this.callArgs=t,this.id=DM++,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=Lv(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=Lv(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}(),LM=0,zM=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=LM++,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=eD(a)+"_"+gD(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}Cv(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 jO("The layer has never been called and thus has no defined "+t+".");if(this.inboundNodes.length<=e)throw new HO("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 QO(this.getNodeAtIndex(e,"input").inputTensors)},n.getOutputAt=function(e){return QO(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=$O(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=$O(this.inputSpec);if(e.length!==t.length)throw new HO("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 HO("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new HO("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 HO("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 HO("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 HO("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],d=r.shape[p];if(null!=h&&null!=d&&h!==d)throw new HO("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=$O(e),i=!0,o=Lv(a);!(r=o()).done;){if(!(r.value instanceof OM)){i=!1;break}}for(var s,u=!0,l=Lv(a);!(s=l()).done;){if(s.value instanceof OM){u=!1;break}}if(i===u)throw new HO("Arguments to apply() must be all SymbolicTensors or all Tensors");return ED(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);for(var r,i=[],o=Lv($O(e));!(r=o()).done;){var s=r.value;i.push(s.shape)}n.build(QO(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=Lv($O(c));!(l=h()).done;){var d=l.value;-1!==a.indexOf(d)&&(d=d.clone()),p.push(d)}if(c=QO(p),null!=n.activityRegularizer)throw new qO("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var f,m=function(e){e=$O(e);for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;n.push(a.shape)}return QO(n)}(e),v=n.computeOutputShape(m),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?m[0]:m),f=null!=v&&v.length>0&&Array.isArray(v[0])?v.map((function(r,a){return new OM(g,r,n,$O(e),t,n.name,a)})):new OM(g,v,n,$O(e),t,n.name),n.addInboundNode(e,f,null,null,m,v,t),n._refCount++,null!=n.activityRegularizer)throw new qO("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return f}))},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 jO("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return CM(this.weights)},n.build=function(e){this.built=!0},n.getWeights=function(e){return void 0===e&&(e=!1),RM(e?this.trainableWeights:this.weights)},n.setWeights=function(e){var t=this;eI((function(){var n=t.weights;if(n.length!==e.length)throw new HO('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=RM(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!Yv(o.shape,u.shape))throw new HO("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}_M(r)}}))},n.addWeight=function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new HO("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():kM("zeros"));var u=r.apply(t,n),l=new AM(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=$O(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},n.computeOutputShape=function(e){return e},n.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")}))}return null}return t},n.addInboundNode=function(e,t,n,r,a,i,o){void 0===o&&(o=null);var s=$O(e);t=$O(t),n=$O(n),r=$O(r),a=IM(a),i=IM(i);for(var u,l=[],c=[],p=[],h=Lv(s);!(u=h()).done;){var d=u.value;l.push(d.sourceLayer),c.push(d.nodeIndex),p.push(d.tensorIndex)}new MM({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var f=0;f<t.length;f++)t[f].sourceLayer=this,t[f].nodeIndex=this.inboundNodes.length-1,t[f].tensorIndex=f},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}},Tv(t,[{key:"input",get:function(){if(this.inboundNodes.length>1)throw new GO("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 GO("Layer "+this.name+" is not connected, no input to return.");return QO(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new GO("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new GO("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return QO(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 GO("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e,t=[],n=Lv(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 GO("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}(pR);function PM(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=Lv(PM(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 BM=function(e){function t(t){var n;if(n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:gD("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 HO("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 HO("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new HO("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 OM(n.dtype,n.batchInputShape,Ov(n),[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new MM({outboundLayer:Ov(n),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}Cv(t,e);var n=t.prototype;return n.apply=function(e,t){throw new HO("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}(zM);function WM(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 HO("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 BM({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}BM.className="InputLayer",dR(BM);var VM=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=Lv(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 HO("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 XN(t,e.dtype)}catch(n){throw new 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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=Lv(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 d,f=u.join(",")+"|"+t.names().sort().join(","),m=UM.get(f);if(null==m){var v=function(e,t){Hv(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=qM(e[0],t);n=a.sorted,r=a.recipientMap}else for(var i,o=new Set,s=Lv(e);!(i=s()).done;){for(var u,l=qM(i.value,t),c=l.sorted,p=l.recipientMap,h=Lv(c);!(u=h()).done;){var d=u.value;o.has(d.name)||(n.push(d),o.add(d.name))}var f=function(e){null==r[e]&&(r[e]=new Set),p[e].forEach((function(t){return r[e].add(t)}))};for(var m in p)f(m)}return{sorted:n,recipientCounts:HM(r)}}(s,t);m=v.sorted,d=v.recipientCounts,UM.put(f,m),GM.put(f,d)}d={},i||Object.assign(d,GM.get(f));for(var g=new VM(t),y=0;y<m.length;++y){if(null!=r){var b=$N().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=m[y],w=x.sourceLayer;if(!(w instanceof BM)){for(var k,N=[],I=[],S=[],T=!1,C=Lv(x.inputs);!(k=C()).done;){var E=k.value,A=g.getValue(E),R=g.getMask(E);N.push(A),I.push(R),null!=R&&(T=!0),i||(d[E.name]--,0!==d[E.name]||t.hasKey(E)||-1!==u.indexOf(E.name)||A.isDisposed||!0===E.sourceLayer.stateful||S.push(A))}T&&((n=n||{}).mask=I[0]);var _=$O(w.apply(N,n)),F=null;w.supportsMasking&&(F=w.computeMask(N,I));for(var O=KM(x),D=Array.isArray(O)?O:[O],M=0;M<D.length;++M){g.hasKey(D[M])||g.add(D[M],_[M],Array.isArray(F)?F[0]:F);var L=u.indexOf(D[M].name);-1!==L&&(l[L]=_[M])}i||tI(S)}}return g.disposeMasks(),o?l:l[0]}function HM(e){var t={};for(var n in e)t[n]=e[n].size;return t}function qM(e,t){for(var n,r=new Set,a=[],i={},o=Lv(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,d=Lv(c.inputs);!(h=d()).done;){var f=h.value;null==i[f.name]&&(i[f.name]=new Set),i[f.name].add(c.name),r.has(f.name)||u.push(f)}}}}return{sorted:a,recipientMap:i}}function KM(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=Lv(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 XM(e,t){return eI((function(){return XS(JS(lI(e,e),t,!0))}))}Fg().registerFlag("TOPOLOGICAL_SORT_CACHE_MAX_ENTRIES",(function(){return 100}),(function(e){null!=UM&&UM.setMaxEntries(e),null!=GM&&GM.setMaxEntries(e)}));var YM=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.getConfig=function(){return{}},t}(pR),JM=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}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return eI((function(){var n=XM(e,t.axis),r=rS(n,0,t.maxValue);return lI(e,uI(r,oI(PD(),n)))}))},n.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t}(YM);JM.className="MaxNorm",dR(JM);var ZM=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}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return eI((function(){return uI(e,oI(PD(),XM(e,t.axis)))}))},n.getConfig=function(){return{axis:this.axis}},t}(YM);ZM.className="UnitNorm",dR(ZM);var QM=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e){return zC(e)},t}(YM);QM.className="NonNeg",dR(QM);var $M=function(e){function t(t){var n;return(n=e.call(this)||this).defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return eI((function(){var n=XM(e,t.axis),r=oI(lI(t.rate,rS(n,t.minValue,t.maxValue)),lI(1-t.rate,n));return lI(e,uI(r,oI(PD(),n)))}))},n.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t}(YM);$M.className="MinMaxNorm",dR($M);var eL={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function tL(e){return rD(e)}function nL(e,t){return void 0===t&&(t={}),iD(e,hR.getMap().classNameMap,t,"constraint")}function rL(e){return null==e?null:"string"==typeof e?nL({className:e in eL?eL[e]:e,config:{}}):e instanceof YM?e:nL(e)}var aL={__proto__:null,maxNorm:function(e){return new JM(e)},unitNorm:function(e){return new ZM(e)},nonNeg:function(){return new QM},minMaxNorm:function(e){return new $M(e)}};var iL,oL={__proto__:null,zeros:function(){return new aM},ones:function(){return new iM},constant:function(e){return new oM(e)},randomUniform:function(e){return new sM(e)},randomNormal:function(e){return new uM(e)},truncatedNormal:function(e){return new lM(e)},identity:function(e){return new cM(e)},varianceScaling:function(e){return new pM(e)},glorotUniform:function(e){return new hM(e)},glorotNormal:function(e){return new dM(e)},heNormal:function(e){return new fM(e)},heUniform:function(e){return new mM(e)},leCunNormal:function(e){return new vM(e)},leCunUniform:function(e){return new gM(e)},orthogonal:function(e){return new yM(e)}};function sL(e){return uL.apply(this,arguments)}function uL(){return uL=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l;return kv().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];tI(a);case 12:case"end":return e.stop()}}),e)}))),uL.apply(this,arguments)}function lL(e){if(null!=e)for(var t in e){var n=e[t];"number"!=typeof n&&n.dispose()}}!function(e){e[e.SILENT=0]="SILENT",e[e.VERBOSE=1]="VERBOSE"}(iL||(iL={}));var cL=function(){function e(){this.validationData=null}var t=e.prototype;return t.setParams=function(e){this.params=e},t.onEpochBegin=function(){var e=Iv(kv().mark((function e(t,n){return kv().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=Iv(kv().mark((function e(t,n){return kv().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=Iv(kv().mark((function e(t,n){return kv().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=Iv(kv().mark((function e(t,n){return kv().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=Iv(kv().mark((function e(t){return kv().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=Iv(kv().mark((function e(t){return kv().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}(),pL=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=Lv(this.callbacks);!(t=n()).done;){t.value.setParams(e)}},t.setModel=function(e){for(var t,n=Lv(this.callbacks);!(t=n()).done;){t.value.setModel(e)}},t.onEpochBegin=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(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=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(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=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(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=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(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=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(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=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(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}(),hL=function(e){function t(){return e.call(this)||this}Cv(t,e);var n=t.prototype;return n.onEpochBegin=function(){var e=Iv(kv().mark((function e(t){return kv().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=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().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=eI((function(){return oI(o.totals[e],lI(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=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().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:eI((function(){var t=lI(uI(1,o.seen),o.totals[e]);n[e]=t,o.totals[e].dispose(),nI(n[e])}))},a=Lv(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}(cL),dL=function(e){function t(){return e.apply(this,arguments)||this}Cv(t,e);var n=t.prototype;return n.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){return kv().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=Iv(kv().mark((function e(t,n){var r;return kv().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=Iv(kv().mark((function e(){var t,n,r,a,i,o,s,u,l;return kv().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}(cL),fL=function(e){function t(t,n){var r;if((r=e.call(this)||this).currentEpoch=0,r.nowFunc=t.nowFunc,r.nextFrameFunc=t.nextFrameFunc||w_,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. 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kv().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,sL(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=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=[],null==this.epochEnd){e.next=5;break}return e.next=4,sL(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=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.batchBegin){e.next=5;break}return e.next=3,sL(n);case 3:return e.next=5,this.batchBegin(t,n);case 5:case"end":return 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kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.trainEnd){e.next=5;break}return e.next=3,sL(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}(cL);function mL(e,t){return null==e&&(e={}),e instanceof cL?[e]:Array.isArray(e)&&e[0]instanceof cL?e:$O(e).map((function(e){return new fL(e,t)}))}var vL=function(){function e(){}return e.registerCallbackConstructor=function(t,n){Hv(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 HO("Duplicate callback constructor.")}))}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var 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n=rS(t,PD(),Number.MAX_VALUE),r=yT(oI(1,n)),a=rS(e,PD(),Number.MAX_VALUE),i=yT(oI(1,a));return WT(JD(TT(r,i)),-1)}))}function IL(e,t,n){return void 0===n&&(n=!1),eI((function(){if(n)t=rE(t);else{var r=JS(t,t.shape.length-1,!0);t=uI(t,r)}return t=rS(t,PD(),1-PD()),NT(JS(lI(XN(e,"float32"),yT(t)),t.shape.length-1))}))}function SL(e,t,n){return void 0===n&&(n=!1),eI((function(){var r,a,i=XN(iT((a=[DD((r=e).shape)],PI(r,a))),"int32"),o=(t=rS(t,PD(),1-PD())).shape;return IL(PI(ZT(i,o[o.length-1]),o),t,n)}))}function TL(e,t){return eI((function(){var n;return n=rS(t,PD(),1-PD()),n=yT(uI(n,TT(1,n))),WT(function(e,t){if(!Yv(e.shape,t.shape))throw new HO("logits and labels must have the same shape, but got shapes "+JSON.stringify(e.shape)+" and "+JSON.stringify(t.shape));return eI((function(){var n=zC(t),r=NT(cI(t));return oI(TT(n,lI(t,e)),bT(eT(r)))}))}(e,n),-1)}))}function CL(e,t){return eI((function(){var n=rS(e,PD(),1),r=rS(t,PD(),1);return JS(lI(e,yT(uI(n,r))),-1)}))}function 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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=Lv(this.layers);!(n=i()).done;)for(var o,s=Lv(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new HO("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 HO("Provided weight data has no target variable: "+c);delete r[p]}if(t){var d=[];for(var f in r)d.push(f);if(d.length>0)throw new HO(d.length+" of "+a+" weights are not set: "+d)}_M(l)},n.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers 4.3.0",t.backend="TensorFlow.js",t},n.toJSON=function(e,t){void 0===t&&(t=!0);var n=QL(this.updatedConfig());return 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v=h.inboundLayers[m],g=h.nodeIndices[m],y=h.tensorIndices[m],b=n[v.name+"_"+g+"_"+y];f.push(b)}for(var x=IM(d.computeOutputShape(QO(f))),w=d.inboundNodes.indexOf(h),k=0;k<x.length;k++){n[d.name+"_"+w+"_"+k]=x[k]}}}for(var N=[],I=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],C=this.outputLayersNodeIndices[S],E=this.outputLayersTensorIndices[S],A=T.name+"_"+C+"_"+E;I.push(A)}for(var R=0;R<I.length;R++){var _=I[R];JO(_ in n),N.push(n[_])}return QO(N)},n.runInternalGraph=function(e,t){null==t&&(t=YO(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=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(oD),l=Lv(u);!(s=l()).done;)for(var c,p=s.value,h=Lv(this.nodesByDepth[p]);!(c=h()).done;){for(var d,f=c.value,m=f.outboundLayer,v=f.inputTensors,g=f.outputTensors,y=new Array,b=Lv(v);!(d=b()).done;){var x=d.value;x.id in n&&y.push(n[x.id])}if(y.length===v.length){var w={},k=void 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The provided Dataset instead generates "+t}));var i=sz("input",e.inputNames,n),o=sz("output",e.outputNames,r),s=i[0].shape[0];Hv(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)+")"})),Hv(o.length===e.outputs.length,(function(){return"LayersModel has "+e.outputs.length+" outputs, but the dataset provides "+o.length+" outputs. 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Use LayersModel.compile(modelCompileConfig)."})),Hv(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),Hv(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})),Hv(!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})),Hv(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)&&(hz(r.validationData)?Hv(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=uz(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=mL(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,f=gL(h,d,r.epochs,null,null,pz(n,r),null,i,p),m=f.callbackList,v=f.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=oz(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(C=[],null==r.classWeight){e.next=64;break}E=nz(r.classWeight,t.outputNames),A=0;case 55:if(!(A<E.length)){e.next=64;break}return e.t0=C,e.next=59,rz(S[A],null,E[A]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++A,e.next=55;break;case 64:for(R=I.concat(S).concat(C),_=l(R),tI(R),F=0;F<c.length;++F)O=c[F],D=_[F],T[O]=D,nI(D);return e.next=70,m.onBatchEnd(w,T);case 70:lL(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,!hz(r.validationData)){e.next=84;break}return e.t2=$O,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,M=(0,e.t2)(e.t3),e.next=85;break;case 84:M=$O(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]])}))),cz.apply(this,arguments)}function pz(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function hz(e){return"function"==typeof e.iterator}function dz(e){return"function"==typeof e.next}function fz(e,t,n){return mz.apply(this,arguments)}function mz(){return mz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return kv().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 qO("Verbose mode is not implemented yet.");case 6:if(Hv(!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)})),!dz(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=kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=eI((function(){return n.value&&function(){var e=oz(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),c=eI((function(){return i(s)}));if(tI(s),0===l)for(var p=0;p<c.length;++p)o.push(KS(0));for(var h=s[0].shape[0],d=function(e){var t=c[e],n=o[e];o[e]=eI((function(){return oI(o[e],lI(h,t))})),l>0&&tI(n)},f=0;f<c.length;++f)d(f);tI(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]=uI(o[p],u),tI(h);return e.abrupt("return",QO(o));case 27:case"end":return e.stop()}}),e)}))),mz.apply(this,arguments)}function vz(e){Hv(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got "+e}))}function gz(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return VD(e,t,n-t)})):VD(e,t,n-t)}function yz(e,t){return eI((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return yz(e,t)})):YD(e,"int32"===t.dtype?t:XN(t,"int32"))}))}function bz(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 xz(e){var t=[];e instanceof ak&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(WD(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 wz(e,t){if(null!=e){var n=[];if(t instanceof ak)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 ak)-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 kz(e){return Array.isArray(e)}function Nz(e){return!function(e){return e instanceof ak}(e)&&!kz(e)}function Iz(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(kz(e)&&e.length>0)i=!0;else if(Nz(e)){for(var o in e)if(e.hasOwnProperty(o)){i=!0;break}}else i=!0;if(i)throw new HO("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(Nz(e)){s=[];for(var u,l=Lv(t);!(u=l()).done;){var c=u.value;if(null==e[c])throw new HO('No data provided for "'+c+'". Need data for each key in: '+t);s.push(e[c])}}else if(kz(e)){if(e.length!==t.length)throw new HO("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(t.length>1)throw new HO("The model "+a+" expects "+t.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+e.shape);s=[e]}if(s=xz(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 HO("Error when checking "+a+": expected "+t[p]+" to have "+n[p].length+" dimension(s). but got array with shape "+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var f=h.shape[d],m=n[p][d];if(null!=m&&m>=0&&f!==m)throw new HO(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 Sz(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 HO("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 HO("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 HO("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 HO("Error when checking "+a+": expected "+t[o]+" to have shape "+JSON.stringify(n[o])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var Tz=function(e){function t(t){var n;return(n=e.call(this,t)||this).isTraining=!1,n}Cv(t,e);var n=t.prototype;return n.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new HO("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).");qL(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 b_.adagrad(.01)},Adadelta:function(){return b_.adadelta(1,.95,PD())},Adam:function(){return b_.adam(.001,.9,.999,PD())},Adamax:function(){return b_.adamax(.002,.9,.999,PD(),0)},RMSProp:function(){return b_.rmsprop(.001,.9,0,PD())},SGD:function(){return b_.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 HO("Unknown Optimizer "+e)}(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof mR))throw new HO("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 HO("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 RL(e)}))}else{var a=RL(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 HO('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o,s=Lv(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(RL(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=[],ED("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 d=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. 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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;vz(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return QO(this.testLoop(o,i,r,n.verbose,n.steps))}finally{wz(a[0],e),wz(a[1],t)}},n.evaluateDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",fz(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 HO("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new HO("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 HO("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new VM;if(e instanceof ak&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new HO("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=Lv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new HO("No value is provided for the model's input "+l.name);i.add(l,c)}var p=jM(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=YO(null,e.length),r=e.length,a=Lv(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 HO("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),eI((function(){var a=r.checkNumSamples(e);if(n)throw new qO("Verbose predictLoop() is not implemented yet.");for(var i=bz(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){eI((function(){var n=i[t][0],a=i[t][1],o=gz(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 VM(s);return jM(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return QO(o.map((function(e){return VI(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=xz(e);Sz(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return vz(r),this.predictLoop(n,r)}finally{wz(n,e)}},n.predictOnBatch=function(e){Sz(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 jO("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]===SL?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=sD(e.map((function(e){return e.shape[0]})));r.sort();var a=sD(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new HO("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 HO("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&&!Yv(r,a))throw new HO("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=Iz(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=Iz(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[xL,TL,IL],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===IL&&1===i.shape[i.shape.length-1])throw new HO("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 HO("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 HO("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=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return kv().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=nz(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,rz(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),eI((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new qO("Verbose mode is not implemented yet.");if(null!=a)throw new qO("steps mode in testLoop() is not implemented yet");for(var u=bz(o,n),l=mE(zD(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],d=VD(l,p,h-p),f=yz(t,d),m=e(f);if(0===c)for(var v=0;v<m.length;++v)s.push(KS(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=oI(s[g],lI(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=uI(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(ZO(e,r)>1)a+="_"+ZO(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 VM(t),c=jM(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=iz(h,i[p]));var d=WT(h);n.push(d),u=0===p?h:oI(u,h)}for(var f=0;f<e.metricsTensors.length;++f){var m=void 0;if(e.outputs.length>1&&f<e.outputs.length)m=n[f];else{var v=e.metricsTensors[f][0],g=e.metricsTensors[f][1];m=WT(v(a[g],c[g]))}nI(m),o.push(m)}return u=WT(u),e.calculateLosses().forEach((function(e){u=oI(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return eI((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 VM(o),l=jM(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=WT(p(i[c],l[c]));n=0===c?h:oI(n,h),r.push(n)}for(var d=0;d<e.metricsTensors.length;++d){var f=e.metricsTensors[d][0],m=e.metricsTensors[d][1],v=WT(f(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,d,f,m,v,g,y,b,x,w,k,N,I,S,T;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===r&&(r={}),!this.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return this.isTraining=!0,e.prev=4,vz(d=null==r.batchSize?32:r.batchSize),!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,false,d);case 10:if(f=e.sent,a=f[0],i=f[1],h=f[2],m=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(m=!0,2!==r.validationData.length){e.next=22;break}u=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new qO("validationData including sample weights is not supported yet.");case 26:throw new HO("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");case 27:return!0,e.next=30,this.standardizeUserData(u,l,null,null,true,d);case 30:g=e.sent,c=g[0],p=g[1],v=c.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(m=!0,y=Math.floor(a[0].shape[0]*(1-r.validationSplit)),b=a[0].shape[0],c=gz(a,y,b),o=a,a=gz(a,0,y),p=gz(i,y,b),s=i,i=gz(i,0,y),v=c.concat(p)):null!=r.validationSteps&&(m=!0);case 37:return x=a.concat(i).concat(h),this.checkTrainableWeightsConsistency(),w=this.makeTrainFunction(),k=this.getDedupedMetricsNames(),m?(this.makeTestFunction(),N=this.testFunction,I=k.slice().concat(k.map((function(e){return"val_"+e})))):(N=null,v=[],I=k.slice()),S=mL(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(w,x,k,d,r.epochs,r.verbose,S,N,v,r.shuffle,I,r.initialEpoch,null,null);case 45:return T=e.sent,e.abrupt("return",T);case 47:return e.prev=47,this.isTraining=!1,wz(a,t),wz(i,n),wz(o,t),wz(s,n),wz(c,u),wz(p,l),null!=h&&tI(h),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitLoop=function(){var e=Iv(kv().mark((function e(t,n,r,a,i,o,s,u,l,c,p,h,d,f){var m,v,g,y,b,x,w,k,N=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=u&&null!=l&&(m=!0),null==f){e.next=10;break}if(m=!0,null!=d){e.next=10;break}throw new HO("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(v=this.checkNumSamples(n,a,d,"steps_per_epoch"))&&(g=zD(0,v)),null==o&&(o=1),y=gL(s,o,i,h,v,d,a,m,p),b=y.callbackList,x=y.history,b.setModel(this),this.history=x,e.next=18,b.onTrainBegin();case 18:this.stopTraining_=!1,w=kv().mark((function e(i){var o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,b.onEpochBegin(i);case 2:if(o={},null==d){e.next=7;break}throw new qO("stepsPerEpoch mode is not implemented 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14:++h,e.next=9;break;case 17:i.dispose();case 18:case"end":return e.stop()}}),e)}))(),"t0",8);case 8:return e.next=10,b.onEpochEnd(i,o);case 10:if(!N.stopTraining_){e.next=12;break}return e.abrupt("return","break");case 12:case"end":return e.stop()}}),e)})),k=h;case 21:if(!(k<i)){e.next=29;break}return e.delegateYield(w(k),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++k,e.next=21;break;case 29:return e.next=31,b.onTrainEnd();case 31:return e.next=33,this.history.syncData();case 33:return e.abrupt("return",this.history);case 34:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o,s,u,l,c,p,h,d,f){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",lz(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=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return kv().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=Lv(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 tI(s),wz(r[0],t),wz(r[1],n),e.abrupt("return",QO(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=$N().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-$N().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=eD(this.loss);else if(Array.isArray(this.loss)){for(var t,n=Lv(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 eD(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]=eD(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[eD(UL(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return eD(UL(e))}));var e={};for(var t in this.metrics)e[t]=eD(UL(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=yL(ZL(e.optimizer_config));if("string"==typeof e.loss)t=tD(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return tD(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=tD(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return tD(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=tD(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=lN(t)).length){e.next=6;break}throw new HO("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new HO("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 HO("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,Hk(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 v4.3.0",convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=GR,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=$k([a.data,c]);case 34:return null!=this.userDefinedMetadata&&(!0,jL(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){jL(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},Tv(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}(ez);Tz.className="Model",dR(Tz);var Cz=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(Tz);function Ez(){return Ez=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(r=t.modelTopology).model_config&&(r=r.model_config),a=ZL(r),i=yL(a,n),null==t.weightsManifest){e.next=14;break}return e.next=9,RR(t.weightsManifest,t.pathPrefix,i.weights.map((function(e){return e.originalName})));case 9:for(o=e.sent,s={},u=Lv(i.weights);!(l=u()).done;)c=l.value,s[c.originalName]=o[c.originalName];i.loadWeights(s),tI(o);case 14:return e.abrupt("return",i);case 15:case"end":return e.stop()}}),e)}))),Ez.apply(this,arguments)}function Az(){return(Az=Iv(kv().mark((function e(t,n){var r;return kv().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=cN(t,n)).length){e.next=7;break}r.push(PR(t,n)),e.next=9;break;case 7:if(!(r.length>1)){e.next=9;break}throw new HO("Found more than one ("+r.length+") load 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Therefore loading of weights cannot proceed.");case 17:if(c=Fz(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:tI(p),tI(h.map((function(e){return e.tensor})));case 24:return e.abrupt("return",u);case 25:case"end":return e.stop()}}),e)}))),_z.apply(this,arguments)}function Fz(e,t){var n=Kk(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}}Cz.className="Functional",dR(Cz);var Oz=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:gD("sequential_"),null!=t.layers)for(var r,a=Lv(t.layers);!(r=a()).done;){var i=r.value;n.add(i)}return n}Cv(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 HO("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 Tz;if(r){if(1!==(n=e).outputs.length)throw new HO("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 HO("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 HO("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=WM({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 HO("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 HO("All layers in a Sequential model should have a single output tensor. 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uP=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=kM(t.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=iP(t.alphaRegularizer),n.alphaConstraint=rL(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 HO("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=TM(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=Lv(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 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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}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SM(e);return lI(n,XN(sT(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}(zM);cP.className="ThresholdedReLU",dR(cP);var pP=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 qz).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SM(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}(zM);function hP(e,t,n){if("number"==typeof e)return YO(e,t);if(e.length!==t)throw new HO("The "+n+" argument must be an integer 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u=$E({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=PE(u,[0,3,1,2])),u}))}function bP(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),eI((function(){if(null==i&&(i="channelsLast"),ID(i),4!==e.rank&&5!==e.rank)throw new HO("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new HO("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=vP(e,i);if("causal"===a)throw new qO("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=hS(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=QD(s,n)),"channelsFirst"===i&&(s=PE(s,[0,4,1,2,3])),s}))}pP.className="Softmax",dR(pP);var xP=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,pD(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new qO("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=hP(r.kernelSize,n,"kernelSize"),a.strides=hP(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,SD(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,ID(a.dataFormat),a.activation=Qz(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=kM(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=rL(r.biasConstraint),a.biasRegularizer=iP(r.biasRegularizer),a.activityRegularizer=iP(r.activityRegularizer),a.dilationRate=hP(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new HO("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 HO("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 HO("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Cv(t,e),t.verifyArgs=function(e){if(JO("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!cD(e.kernelSize,"number",1,3))throw new HO("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:Jz(this.activation),useBias:this.useBias,biasInitializer:wM(this.biasInitializer),biasRegularizer:rP(this.biasRegularizer),activityRegularizer:rP(this.activityRegularizer),biasConstraint:tL(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM),wP=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,pD(a.filters,"filters"),a.kernelInitializer=kM(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=rL(r.kernelConstraint),a.kernelRegularizer=iP(r.kernelRegularizer),a}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new HO("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 eI((function(){var t;e=SM(e);var r=null==n.bias?null:n.bias.read(),a=dD(n.activation.getClassName());if(null!=a&&2===n.rank)t=yP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=gP(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=yP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new qO("convolutions greater than 3D are not implemented yet.");t=bP(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=TM(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=dP(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:wM(this.kernelInitializer),kernelRegularizer:rP(this.kernelRegularizer),kernelConstraint:tL(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 HO("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(xP),kP=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return Cv(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&&!cD(e.kernelSize,"number",1,2))throw new HO("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(wP);kP.className="Conv2D",dR(kP);var NP=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return Cv(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 HO("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(wP);NP.className="Conv3D",dR(NP);var IP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new FM({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new HO("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=TM(e)).length)throw new HO("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 HO("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 FM({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return eI((function(){var t=SM(e);if(4!==t.shape.length)throw new HO("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],d=[o,fP(s,p,l,n.padding),fP(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=PE(t,[0,2,3,1]));var f=pS(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(f=PE(f,[0,3,1,2])),null!=n.bias&&(f=QD(f,n.bias.read(),n.dataFormat)),null!=n.activation&&(f=n.activation.apply(f)),f}))},n.computeOutputShape=function(e){var t,n,r,a=(e=TM(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]=fP(a[n],s,i,this.padding),a[r]=fP(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(kP);IP.className="Conv2DTranspose",dR(IP);var SP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new FM({ndim:5})],"same"!==n.padding&&"valid"!==n.padding)throw new HO("Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(5!==(e=TM(e)).length)throw new HO("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 HO("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 FM({ndim:5,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return eI((function(){var t=SM(e);if(5!==t.shape.length)throw new HO("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],d=n.kernelSize[2],f=n.strides[0],m=n.strides[1],v=n.strides[2],g=[s,fP(u,f,p,n.padding),fP(l,m,h,n.padding),fP(c,v,d,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=PE(t,[0,2,3,4,1]));var y=fS(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=PE(y,[0,4,1,2,3])),null!==n.bias&&(y=QD(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=TM(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]=fP(i[n],l,o,this.padding),i[r]=fP(i[r],c,s,this.padding),i[a]=fP(i[a],p,u,this.padding),i},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(NP);SP.className="Conv3DTranspose",dR(SP);var TP=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 HO("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new HO("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 HO("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=kM(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=iP(n.depthwiseRegularizer),r.depthwiseConstraint=rL(n.depthwiseConstraint),r.pointwiseInitializer=kM(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=iP(n.pointwiseRegularizer),r.pointwiseConstraint=rL(n.pointwiseConstraint),r}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=TM(e)).length<this.rank+2)throw new HO("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 HO("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 FM({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return eI((function(){var t;if(e=SM(e),1===n.rank)throw new qO("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=PE(e,[0,2,3,1])),t=KC(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=QD(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=PE(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=wM(this.depthwiseInitializer),t.pointwiseInitializer=wM(this.pointwiseInitializer),t.depthwiseRegularizer=rP(this.depthwiseRegularizer),t.pointwiseRegularizer=rP(this.pointwiseRegularizer),t.depthwiseConstraint=tL(this.depthwiseConstraint),t.pointwiseConstraint=tL(this.pointwiseConstraint),t},t}(wP);TP.className="SeparableConv";var CP=function(e){function t(t){return e.call(this,2,t)||this}return Cv(t,e),t}(TP);CP.className="SeparableConv2D",dR(CP);var EP=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Cv(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&&!cD(e.kernelSize,"number",1,1))throw new HO("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(wP);EP.className="Conv1D",dR(EP);var AP=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}Cv(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 eI((function(){if(e=SM(e),"channelsLast"===n.dataFormat){var t=GD(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return GD(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=GD(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return GD(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}(zM);AP.className="Cropping2D",dR(AP);var RP=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,ID(n.dataFormat),n.interpolation=null==t.interpolation?"nearest":t.interpolation,r=n.interpolation,lD(bD,"InterpolationFormat",r),n}Cv(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 eI((function(){var t=SM(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=PE(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?oR.resizeNearestNeighbor(t,[a,i]):oR.resizeBilinear(t,[a,i]);return PE(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?oR.resizeNearestNeighbor(t,[s,u]):oR.resizeBilinear(t,[s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);RP.className="UpSampling2D",dR(RP);var _P=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=kM(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=rL(t.depthwiseConstraint),n.depthwiseRegularizer=iP(t.depthwiseRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){if((e=TM(e)).length<4)throw new HO("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 HO("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 eI((function(){e=SM(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"),eI((function(){null==o&&(o="channelsLast"),ID(o);var e=mP(t,o);if(4!==t.rank)throw new HO("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new HO("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=wS(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=PE(e,[0,3,1,2])),e})));return n.useBias&&(u=QD(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=TM(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=dP(t,this.kernelSize[0],this.padding,this.strides[0]),i=dP(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=wM(this.depthwiseInitializer),t.depthwiseRegularizer=rP(this.depthwiseRegularizer),t.depthwiseConstraint=tL(this.depthwiseRegularizer),t},t}(xP);function FP(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new HO("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 OP(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),eI((function(){var u=t.shape.length;if(u<3)throw new HO("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(zD(2,u));if(t=PE(t,l),null!=i)throw new qO("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=XN(XN(a,"bool"),"float32")).rank===u-1&&(a=tT(a,-1)),a=PE(a,l)),r&&(t=BC(t,0),null!=a&&(a=BC(a,0)));var c,p,h=[],d=n,f=t.shape[0],m=RE(t);null!=a&&(p=RE(a));for(var v,g=function(t){var n=m[t],r=eI((function(){return e(n,d)}));if(null==a)c=r[0],d=r[1];else{var i=eI((function(){var e=p[t],n=TT(QT(e),e);return{output:oI(lI(r[0],e),lI(d[0],n)),newStates:d.map((function(t,a){return oI(lI(r[1][a],e),lI(t,n))}))}}));c=i.output,d=i.newStates}s&&h.push(c)},y=0;y<f;++y)g(y);if(s){v=pE(h,1)}return[c,v,d]}))}_P.className="DepthwiseConv2D",dR(_P);var DP=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new HO("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new UP({cells:t.cell}):t.cell).stateSize)throw new HO("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 FM({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Cv(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?zD(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){NM(e)&&(e=e[0]);var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a,i=[],o=Lv(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 eI((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 qO("Constants support is not implemented in RNN yet.");NM(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new FM({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(!Yv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new HO("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 FM({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),eI((function(){if(!n.stateful)throw new GO("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new HO("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 VT([r,e])})):n.states_=[VT([r,n.cell.stateSize])];else if(null==e)tI(n.states_),null!=n.keptStates&&(tI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return VT([r,e])})):n.states_[0]=VT([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new HO("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()):tI(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(!Yv(i.shape,s))throw new HO("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 nI(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=FP(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=Lv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new FM({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 OM){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var f=e.prototype.apply.call(this,p,n);return this.inputSpec=d,f}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return eI((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=SM(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 HO("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=OP((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 eI((function(){var n=VT(e.shape);return n=WD(n=JS(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?qD(n,[1,e]):n})):t.cell.stateSize>1?[qD(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(Object.assign(Object.assign({},a),n),r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=yL(t.cell,n);return new e(Object.assign(t,{cell:r}))},Tv(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}(zM);DP.className="RNN",dR(DP);var MP=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(zM),LP=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,pD(n.units,"units"),n.activation=Qz(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=kM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=kM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=kM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=iP(t.kernelRegularizer),n.recurrentRegularizer=iP(t.recurrentRegularizer),n.biasRegularizer=iP(t.biasRegularizer),n.kernelConstraint=rL(t.kernelConstraint),n.recurrentConstraint=rL(t.recurrentConstraint),n.biasConstraint=rL(t.biasConstraint),n.dropout=MD([1,LD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=MD([1,LD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){e=TM(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 eI((function(){if(2!==e.length)throw new HO("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=GP({ones:function(){return QT(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=GP({ones:function(){return QT(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=XD(null!=o?lI(e,o):e,n.kernel.read()),null!=n.bias&&(a=QD(a,n.bias.read())),null!=s&&(r=lI(r,s));var u=oI(a,XD(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:Jz(this.activation),useBias:this.useBias,kernelInitializer:wM(this.kernelInitializer),recurrentInitializer:wM(this.recurrentInitializer),biasInitializer:wM(this.biasInitializer),kernelRegularizer:rP(this.kernelRegularizer),recurrentRegularizer:rP(this.recurrentRegularizer),biasRegularizer:rP(this.biasRegularizer),activityRegularizer:rP(this.activityRegularizer),kernelConstraint:tL(this.kernelConstraint),recurrentConstraint:tL(this.recurrentConstraint),biasConstraint:tL(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),n)},t}(MP);LP.className="SimpleRNNCell",dR(LP);var zP=function(e){function t(t){return t.cell=new LP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return eI((function(){null!=r.cell.dropoutMask&&(tI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(tI(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}(DP);zP.className="SimpleRNN",dR(zP);var PP=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 HO("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,pD(n.units,"units"),n.activation=Qz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Qz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=kM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=kM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=kM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=iP(t.kernelRegularizer),n.recurrentRegularizer=iP(t.recurrentRegularizer),n.biasRegularizer=iP(t.biasRegularizer),n.kernelConstraint=rL(t.kernelConstraint),n.recurrentConstraint=rL(t.recurrentConstraint),n.biasConstraint=rL(t.biasConstraint),n.dropout=MD([1,LD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=MD([1,LD([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}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=TM(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 eI((function(){if(2!==e.length)throw new HO("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=GP({ones:function(){return QT(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=GP({ones:function(){return QT(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=lI(e,u[0]));var c=XD(e,n.kernel.read());n.useBias&&(c=QD(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=lI(a,l[0]));var p=n.recurrentKernel.read(),h=sE(p,[2*n.units,n.units],p.rank-1),d=h[0],f=h[1],m=XD(a,d),v=sE(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=sE(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(oI(g,w)),o=n.recurrentActivation.apply(oI(y,k));var N=XD(lI(o,a),f);s=n.activation.apply(oI(b,N));var I=oI(lI(i,a),lI(oI(1,NT(i)),s));return[I,I]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:Jz(this.activation),recurrentActivation:Jz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:wM(this.kernelInitializer),recurrentInitializer:wM(this.recurrentInitializer),biasInitializer:wM(this.biasInitializer),kernelRegularizer:rP(this.kernelRegularizer),recurrentRegularizer:rP(this.recurrentRegularizer),biasRegularizer:rP(this.biasRegularizer),activityRegularizer:rP(this.activityRegularizer),kernelConstraint:tL(this.kernelConstraint),recurrentConstraint:tL(this.recurrentConstraint),biasConstraint:tL(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},t),n)},t}(MP);PP.className="GRUCell",dR(PP);var BP=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 PP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return eI((function(){null!=r.cell.dropoutMask&&(tI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(tI(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}(DP);BP.className="GRU",dR(BP);var WP=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,pD(n.units,"units"),n.activation=Qz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Qz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=kM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=kM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=kM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=iP(t.kernelRegularizer),n.recurrentRegularizer=iP(t.recurrentRegularizer),n.biasRegularizer=iP(t.biasRegularizer),n.kernelConstraint=rL(t.kernelConstraint),n.recurrentConstraint=rL(t.recurrentConstraint),n.biasConstraint=rL(t.biasConstraint),n.dropout=MD([1,LD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=MD([1,LD([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}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=TM(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 Cv(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new iM).apply([i]),o=a.apply([2*i]);return HD(HD(n,r),o)},t}(rM),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},n.call=function(e,t){var n=this;return eI((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new HO("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=GP({ones:function(){return QT(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=GP({ones:function(){return QT(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=lI(e,c[0]));var h=XD(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=lI(a,p[0])),h=oI(h,XD(a,n.recurrentKernel.read())),n.useBias&&(h=QD(h,n.bias.read()));var d=sE(h,4,h.rank-1),f=d[0],m=d[1],v=d[2],g=d[3];o=n.recurrentActivation.apply(f),s=n.recurrentActivation.apply(m),u=oI(lI(s,i),lI(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=lI(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:Jz(this.activation),recurrentActivation:Jz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:wM(this.kernelInitializer),recurrentInitializer:wM(this.recurrentInitializer),biasInitializer:wM(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:rP(this.kernelRegularizer),recurrentRegularizer:rP(this.recurrentRegularizer),biasRegularizer:rP(this.biasRegularizer),activityRegularizer:rP(this.activityRegularizer),kernelConstraint:tL(this.kernelConstraint),recurrentConstraint:tL(this.recurrentConstraint),biasConstraint:tL(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},t),n)},t}(MP);WP.className="LSTMCell",dR(WP);var VP=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 WP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return eI((function(){null!=r.cell.dropoutMask&&(tI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(tI(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}(DP);VP.className="LSTM",dR(VP);var UP=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return eI((function(){for(var r,a=e.slice(1),i=[],o=Lv(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,d=Lv(l.slice().reverse());!(h=d()).done;){var f,m=h.value;(f=a).push.apply(f,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;NM(e)&&(e=e[0]),this.cells.forEach((function(n,r){ED("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(Object.assign({},t),n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=Lv(t.cells);!(r=i()).done;){var o=r.value;a.push(yL(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return RM(t)},n.setWeights=function(e){for(var t,n=[],r=Lv(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]]);_M(n)},Tv(t,[{key:"stateSize",get:function(){for(var e,t=[],n=Lv(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=Lv(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=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Lv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(MP);function GP(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):$D(t(),n)},l=function(){return eM(u,t,a)};return!o||o<=1?nI(l().clone()):Array(o).fill(void 0).map(l).map((function(e){return nI(e.clone())}))}UP.className="StackedRNNCells",dR(UP);var jP=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},HP=function(e){function t(t){var n;if(t.unroll)throw new qO("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new qO("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new FM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return eI((function(){if(null!=r.cell.dropoutMask&&(tI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(tI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new HO("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 eI((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=VT([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),eI((function(){if(!n.stateful)throw new GO("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 HO("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 VT(i)})):n.states_=[VT(i)];else if(null==e)tI(n.states_),null!=n.keptStates&&(tI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return VT(i)})):n.states_[0]=VT(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new HO("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()):tI(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Yv(s.shape,u))throw new HO("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 nI(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=dP(l,a[0],i,o[0],s[0]),h=dP(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(DP);HP.className="ConvRNN2D";var qP=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(Object.assign({},t),{units:r}))||this).filters=r,pD(n.filters,"filters"),n.kernelSize=hP(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return pD(e,"kernelSize")})),n.strides=hP(i||1,2,"strides"),n.strides.forEach((function(e){return pD(e,"strides")})),n.padding=o||"valid",SD(n.padding),n.dataFormat=s||"channelsLast",ID(n.dataFormat),n.dilationRate=hP(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return pD(e,"dilationRate")})),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new HO("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 Cv(t,e),t.prototype.apply=function(e,t){return jD([s.apply([u]),UT([u]),s.apply([2*u])])},t}(rM),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},n.call=function(e,t){var n=this;return eI((function(){if(3!==e.length)throw new HO("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=GP({ones:function(){return QT(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?lI(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=GP({ones:function(){return QT(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var d=n.recurrentDropoutMask,f=u(i,d,0),m=u(i,d,1),v=u(i,d,2),g=u(i,d,3),y=sE(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?sE(n.bias.read(),4):[null,null,null,null],I=N[0],S=N[1],T=N[2],C=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,C,n.padding);var E=sE(n.recurrentKernel.read(),4,3),A=E[0],R=E[1],_=E[2],F=E[3];f=n.recurrentConv(f,A),m=n.recurrentConv(m,R),v=n.recurrentConv(v,_),g=n.recurrentConv(g,F);var O=n.recurrentActivation.apply(oI(l,f)),D=n.recurrentActivation.apply(oI(c,m)),M=oI(lI(D,o),lI(O,n.activation.apply(oI(p,v)))),L=lI(n.recurrentActivation.apply(oI(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,jP(t,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},n),r)},n.inputConv=function(e,t,n,r){var a=uS(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?QD(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return uS(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(WP);qP.className="ConvLSTM2DCell",dR(qP);var KP=function(e){function t(t){var n=new qP(t);return e.call(this,Object.assign(Object.assign({},t),{cell:n}))||this}return Cv(t,e),t.fromConfig=function(e,t){return new e(t)},t}(HP);KP.className="ConvLSTM2D",dR(KP);var XP=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}Cv(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 eI((function(){n.invokeCallHook(e,t);var r=SM(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return eM((function(){return $D(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}(zM);XP.className="Dropout",dR(XP);var YP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return Cv(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(XP);YP.className="SpatialDropout1D",dR(YP);var JP=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,pD(n.units,"units"),n.activation=Qz(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=kM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=kM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=rL(t.kernelConstraint),n.biasConstraint=rL(t.biasConstraint),n.kernelRegularizer=iP(t.kernelRegularizer),n.biasRegularizer=iP(t.biasRegularizer),n.activityRegularizer=iP(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=TM(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=TM(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return eI((function(){n.invokeCallHook(e,t);var r,a=SM(e),i=dD(n.activation.getClassName());return null!=i?r=XD(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=XD(a,n.kernel.read()),null!=n.bias&&(r=QD(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:Jz(this.activation),useBias:this.useBias,kernelInitializer:wM(this.kernelInitializer),biasInitializer:wM(this.biasInitializer),kernelRegularizer:rP(this.kernelRegularizer),biasRegularizer:rP(this.biasRegularizer),activityRegularizer:rP(this.activityRegularizer),kernelConstraint:tL(this.kernelConstraint),biasConstraint:tL(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);JP.className="Dense",dR(JP);var ZP=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=Lv((e=TM(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new HO('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],DD(e,1)]},n.call=function(e,t){var n=this;return eI((function(){n.invokeCallHook(e,t);var r=SM(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=PE(r,a)}return function(e){if(e.rank<=1)throw new HO("batchFlatten requires a minimum rank of 2. 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e=SM(e),t=e,r=n.n,eI((function(){if(2!==t.shape.length)throw new HO("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return qD(WD(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}(zM);$P.className="RepeatVector",dR($P);var eB=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}Cv(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 HO("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=DD(e);if(null!==i){if(0===a||u%a!=0)throw new HO(n);r[i]=u/a}else if(u!==a)throw new HO(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 eI((function(){n.invokeCallHook(e,t);var r=SM(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return PI(r,i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);eB.className="Reshape",dR(eB);var tB=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=zD(1,t.dims.length+1);if(!Yv(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 FM({ndim:n.dims.length+1})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=TM(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},n.call=function(e,t){return PE(SM(e),this.dimsIncludingBatch)},n.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);tB.className="Permute",dR(tB);var nB=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}Cv(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=SM(e);return mI(JT(n,this.maskValue),-1)},n.call=function(e,t){var n=this;return eI((function(){n.invokeCallHook(e,t);var r=SM(e),a=mI(JT(r,n.maskValue),-1,!0);return lI(r,XN(a,r.dtype))}))},t}(zM);nB.className="Masking",dR(nB);var rB=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($O(t.inputLength))}return n.inputDim=t.inputDim,pD(n.inputDim,"inputDim"),n.outputDim=t.outputDim,pD(n.outputDim,"outputDim"),n.embeddingsInitializer=kM(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=iP(t.embeddingsRegularizer),n.activityRegularizer=iP(t.activityRegularizer),n.embeddingsConstraint=rL(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}Cv(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 eI((function(){return n.maskZero?(e=SM(e),JT(e,RS(e))):null}))},n.computeOutputShape=function(e){if(e=TM(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=$O(this.inputLength);if(t.length!==e.length-1)throw new HO('"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 HO('"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 eI((function(){n.invokeCallHook(e,t);var r=SM(e);"int32"!==r.dtype&&(r=BD(r,"int32"));var a=YD(n.embeddings.read(),PI(r,[r.size]));return PI(a,TM(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:wM(this.embeddingsInitializer),embeddingsRegularizer:rP(this.embeddingsRegularizer),activityRegularizer:rP(this.activityRegularizer),embeddingsConstraint:tL(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);rB.className="Embedding",dR(rB);var aB=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new qO},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 HO("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=[TM(e)]),e.length<2)throw new HO("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=sD(n)).length>1)throw new HO("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===sD(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return eI((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=LD(r),o=Lv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=WD(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=Lv(e);!(c=h()).done;){var d=c.value,f=d.rank;if(null==f){var m=d.shape,v=m[0],g=m.slice(1).concat([v]),y=PI(d,[v].concat(DD(m.slice(1))));y=PE(y,[1,0]),y=PI(y,g),t.push(y),p=!0}else if(f>1){var b=zD(1,f).concat([0]);t.push(PE(d,b)),p=!0}else t.push(d)}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=PI(PE(PI(x,[-1,N]),[1,0]),I)}else if(w>1){var S=[w-1].concat(zD(0,w-1));x=PE(x,S)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=function(e){var t;t=null==e[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a,i=[],o=Lv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=sD(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return eI((function(){if(null==t)return null;if(!Array.isArray(t))throw new HO("`mask` should be an Array");if(!Array.isArray(e))throw new HO("`inputs` should be an Array");if(t.length!==e.length)throw new HO("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:tT(e,0)})))[0],r=1;r<t.length-1;++r)n=AT(n,t[r]);return n}))},t}(zM),iB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return eI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=oI(t,e[n]);return t}))},t}(aB);iB.className="Add",dR(iB);var oB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return eI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=lI(t,e[n]);return t}))},t}(aB);oB.className="Multiply",dR(oB);var sB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return eI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=oI(t,e[n]);return lI(1/e.length,t)}))},t}(aB);sB.className="Average",dR(sB);var uB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return eI((function(){for(var t=e[0],n=1;n<e.length;++n)t=BT(t,e[n]);return t}))},t}(aB);uB.className="Maximum",dR(uB);var lB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return eI((function(){for(var t=e[0],n=1;n<e.length;++n)t=jT(t,e[n]);return t}))},t}(aB);lB.className="Minimum",dR(lB);var cB=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}Cv(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new HO("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=Lv(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=Lv(a);!(s=l()).done;){if(Yv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new HO("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 eI((function(){return jD(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new HO("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=Lv(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 HO("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new HO("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new HO("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return eI((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(XN(QT(e[i]),"bool")):t[i].rank<e[i].rank?a.push(tT(t[i],-1)):a.push(t[i]);var o=VI(a,n.axis);return fI(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(aB);function pB(e,t){for(;e<0;)e+=t;return e}cB.className="Concatenate",dR(cB);var hB=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}Cv(t,e);var n=t.prototype;return n.build=function(e){Hv(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 qO("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 HO("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(e){if(2!==e.length)throw new HO("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 pB(t,e[n].shape.length)})):[pB(this.axes,n.shape.length),pB(this.axes,r.shape.length)],this.normalize&&(n=bL(n,t[0]),r=bL(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new qO("batchDot is not implemented for tensors of 4D or higher rank yet");if(Hv(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),Hv(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 qO("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 eI((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=PI(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=PI(e,e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?JS(lI(e,t),i[0]):JS(lI(PE(e,[1,0]),t),i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=UI(e,t,p,h)}if(n>0){for(var d,f=[],m=d=r>a?r+a-3:r-1;m<d+n;++m)f.push(m);o=cE(o,f)}return 1===o.shape.length&&(o=tT(o,1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[pB(this.axes,e.length),pB(this.axes,t.length)]},n.computeOutputShape=function(e){Hv(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 qO("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}(aB);hB.className="Dot",dR(hB);var dB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}Cv(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 eI((function(){n.invokeCallHook(e,t);var r=SM(e);return eM((function(){return oI(KD(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))},t}(zM);dB.className="GaussianNoise",dR(dB);var fB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}Cv(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 eI((function(){n.invokeCallHook(e,t);var r=SM(e);if(n.rate>0&&n.rate<1){return eM((function(){var e=Math.sqrt(n.rate/(1-n.rate));return lI(r,KD(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(zM);fB.className="GaussianDropout",dR(fB);var mB=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}Cv(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||SM(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 eI((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return eM((function(){var t=SM(e),a=-1.7580993408473766,i=uT(OC(r),n.rate);i=BD(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=oI(lI(t,i),lI(oI(i,-1),a));return oI(lI(u,o),s)}),(function(){return SM(e)}),t.training||!1)}return e}))},t}(zM);function vB(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=YI(e,t,n,r,a,i);else if(3===e.rank)o=JI(e,t,n,r,a,i);else{if(4!==e.rank)throw new qO("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=ZI(e,t,n,r,a,i)}return o}function gB(e,t,n,r,a){return void 0===a&&(a=.001),Yv(r.slice().sort(),zD(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),eI((function(){var i=KT(e,r),o=i.mean,s=i.variance;return[vB(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),eI((function(){for(var i,o=KT(e,r),s=o.mean,u=o.variance,l=[],c=Lv(zD(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=PI(s,l),d=PI(u,l),f=null==t?null:PI(t,l),m=null==n?null:PI(n,l);return[vB(e,h,d,m,f,a),s,u]}))}(e,t,n,r,a)}mB.className="AlphaDropout",dR(mB);var yB=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=kM(t.betaInitializer||"zeros"),n.gammaInitializer=kM(t.gammaInitializer||"ones"),n.movingMeanInitializer=kM(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=kM(t.movingVarianceInitializer||"ones"),n.betaConstraint=rL(t.betaConstraint),n.gammaConstraint=rL(t.gammaConstraint),n.betaRegularizer=iP(t.betaRegularizer),n.gammaRegularizer=iP(t.gammaRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TM(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new HO("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new FM({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 eI((function(){var r=null!=t.training&&t.training,a=SM(e),i=a.shape,o=i.length,s=zD(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=YO(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Yv(c,zD(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=PI(n.movingMean.read(),l),t=PI(n.movingVariance.read(),l),r=n.center?PI(n.beta.read(),l):null,i=n.scale?PI(n.gamma.read(),l):null;return vB(a,e,t,r,i,n.epsilon)}return vB(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=gB(a,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],f=h[1],m=h[2],v=function(e,t,n){eI((function(){var r=1-n,a=e.read(),i=lI(TT(a,t),r);e.write(TT(a,i))}))};return v(n.movingMean,f,n.momentum),v(n.movingVariance,m,n.momentum),d}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:wM(this.betaInitializer),gammaInitializer:wM(this.gammaInitializer),movingMeanInitializer:wM(this.movingMeanInitializer),movingVarianceInitializer:wM(this.movingVarianceInitializer),betaRegularizer:rP(this.betaRegularizer),gammaRegularizer:rP(this.gammaRegularizer),betaConstraint:tL(this.betaConstraint),gammaConstraint:tL(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);yB.className="BatchNormalization",dR(yB);var bB=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=Lv(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=kM(t.betaInitializer||"zeros"),n.gammaInitializer=kM(t.gammaInitializer||"ones"),n.betaRegularizer=iP(t.betaRegularizer),n.gammaRegularizer=iP(t.gammaRegularizer),n.supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=TM(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=Lv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==sD(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=SM(e),a=r.shape,i=a.length;return eI((function(){for(var e,t=KT(r,n.axis,!0),o=t.mean,s=t.variance,u=YO(1,i),l=Lv(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?PI(e,u):e},h=n.scale?p(n.gamma.read()):null,d=n.center?p(n.beta.read()):null,f=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(f.push(a[v]),m.push(1)):(f.push(1),m.push(a[v]));return o=rT(o,f),s=rT(s,f),null!=h&&(h=rT(h,m)),null!=d&&(d=rT(d,m)),vB(r,o,s,d,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:wM(this.betaInitializer),gammaInitializer:wM(this.gammaInitializer),betaRegularizer:rP(this.betaRegularizer),gammaRegularizer:rP(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM);bB.className="LayerNormalization",dR(bB);var xB=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 HO("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 HO("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 HO("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 FM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=TM(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 eI((function(){return t=SM(e),r=n.padding,a=n.dataFormat,eI((function(){if(4!==t.rank)throw new HO("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 HO("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 HO("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]],eC(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}(zM);function wB(e,t,n,r,a,i){return eI((function(){var o;ID(a),TD(i),SD(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=mP(e,a);var s="same"===r?"same":"valid";return o="max"===i?LT(e,t,n,s):BI(e,t,n,s),"channelsFirst"===a&&(o=PE(o,[0,3,1,2])),o}))}function kB(e,t,n,r,a,i){return eI((function(){var o;ID(a),TD(i),SD(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=vP(e,a);var s="same"===r?"same":"valid";return o="max"===i?zT(e,t,n,s):WI(e,t,n,s),"channelsFirst"===a&&(o=PE(o,[0,4,1,2,3])),o}))}xB.className="ZeroPadding2D",dR(xB);var NB=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 HO("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(pD(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 HO("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 pD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,SD(n.padding),n.inputSpec=[new FM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=dP((e=TM(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 eI((function(){n.invokeCallHook(e,t),e=WD(SM(e),2);var r=n.poolingFunction(SM(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return cE(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}(zM),IB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),wB(e,t,n,r,a,"max")},t}(NB);IB.className="MaxPooling1D",dR(IB);var SB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),wB(e,t,n,r,a,"avg")},t}(NB);SB.className="AveragePooling1D",dR(SB);var TB=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 HO("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 pD(n.poolSize,"poolSize"),pD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,ID(n.dataFormat),SD(n.padding),n.inputSpec=[new FM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=TM(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=dP(t,this.poolSize[0],this.padding,this.strides[0]),n=dP(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 eI((function(){return n.invokeCallHook(e,t),n.poolingFunction(SM(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}(zM),CB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),wB(e,t,n,r,a,"max")},t}(TB);CB.className="MaxPooling2D",dR(CB);var EB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),wB(e,t,n,r,a,"avg")},t}(TB);EB.className="AveragePooling2D",dR(EB);var AB=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 HO("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 pD(n.poolSize,"poolSize"),pD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,ID(n.dataFormat),SD(n.padding),n.inputSpec=[new FM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=TM(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=dP(t,this.poolSize[0],this.padding,this.strides[0]),n=dP(n,this.poolSize[1],this.padding,this.strides[1]),r=dP(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 eI((function(){return n.invokeCallHook(e,t),n.poolingFunction(SM(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}(zM),RB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),kB(e,t,n,r,a,"max")},t}(AB);RB.className="MaxPooling3D",dR(RB);var _B=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return ID(a),SD(r),kB(e,t,n,r,a,"avg")},t}(AB);_B.className="AveragePooling3D",dR(_B);var FB=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new FM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new qO},t}(zM),OB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return eI((function(){var t=SM(e);return WT(t,1)}))},t}(FB);OB.className="GlobalAveragePooling1D",dR(OB);var DB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return eI((function(){var t=SM(e);return jS(t,1)}))},t}(FB);DB.className="GlobalMaxPooling1D",dR(DB);var MB=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,ID(n.dataFormat),n.inputSpec=[new FM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new qO},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zM),LB=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return eI((function(){var t=SM(e);return"channelsLast"===n.dataFormat?WT(t,[1,2]):WT(t,[2,3])}))},t}(MB);LB.className="GlobalAveragePooling2D",dR(LB);var zB=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return eI((function(){var t=SM(e);return"channelsLast"===n.dataFormat?jS(t,[1,2]):jS(t,[2,3])}))},t}(MB);zB.className="GlobalMaxPooling2D",dR(zB);var PB=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}Cv(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=yL(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},Tv(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}(zM),BB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return 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i,o={};if(o.className=t.layer.getClassName(),o.config=r,n.backwardLayer=yL(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,lD(kD,"BidirectionalMergeMode",i),t.weights)throw new qO("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}Cv(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]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):QO(n)},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=FP(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 HO("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 FM({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 qO("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof OM,p=0,h=o;p<h.length;p++){if(h[p]instanceof OM!==c)throw new HO("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(c){var d=[t].concat(o),f=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=f;var v=e.prototype.apply.call(this,d,n);return this.inputSpec=m,v}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return eI((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=BC(a,1)),"concat"===n.mergeMode?o=jD([r,a]):"sum"===n.mergeMode?o=oI(r,a):"ave"===n.mergeMode?o=lI(.5,oI(r,a)):"mul"===n.mergeMode?o=lI(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;ED(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),ED(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=yL(t.layer);if(delete t.layer,null!=t.numConstants)throw new qO("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)},Tv(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 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n.getConfig=function(){var t={numTokens:this.numTokens,outputMode:this.outputMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.computeOutputShape=function(e){return null==(e=TM(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)},n.call=function(e,t){var n=this;return eI((function(){var r;if("int32"!==(e=SM(e)).dtype&&(e=BD(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new HO("countWeights is not used when outputMode !== count.\n Received countWeights="+t.countWeights);r=SM(t.countWeights)}var a=jS(e),i=HS(e),o=sT(n.numTokens,a).bufferSync().get(0),s=uT(i,0).bufferSync().get(0);if(!o||!s)throw new HO("Input values must be between 0 < values <= numTokens with numTokens="+n.numTokens);return function(e,t,n,r){var a=SM(e);if("int32"!==a.dtype&&(a=BD(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=tT(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=tT(a,-1)),a.rank>2)throw new HO("When outputMode is not int, maximum output rank is 2 Received outputMode "+t+" and input shape "+i+" which would result in output rank "+a.rank+".");var o,s=["multiHot","oneHot"].includes(t);if(o=bS(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return lI(o,r);throw new HO("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))},t}(zM);HB.className="CategoryEncoding",dR(HB);var qB=new Set(["bilinear","nearest"]),KB=function(e){function t(t){var n;if((n=e.call(this,t)||this).height=t.height,n.width=t.width,t.interpolation){if(!qB.has(t.interpolation))throw new HO("Invalid interpolation parameter: "+t.interpolation+" is not implemented");n.interpolation=t.interpolation}else n.interpolation="bilinear";return n.cropToAspectRatio=Boolean(t.cropToAspectRatio),n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=TM(e))[2];return[this.height,this.width,t]},n.getConfig=function(){var t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.call=function(e,t){var n=this;return eI((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return oR.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return oR.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is "+n.interpolation+" but only "+[].concat(qB)+" are supported")}))},t}(zM);function XB(e){return new SB(e)}function YB(e){return new EB(e)}function JB(e){return new _B(e)}function ZB(e){return new DB(e)}function QB(e){return new zB(e)}function $B(e){return new IB(e)}function eW(e){return new CB(e)}KB.className="Resizing",dR(KB);var tW={__proto__:null,inputLayer:function(e){return new BM(e)},elu:function(e){return new 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0===this.size()?Gk([],[0].concat(r)):eI((function(){var e=n.tensors.map((function(e){return PI(e,r)}));return VI(e,0)}))},Tv(e,[{key:"id",get:function(){return this.idTensor.id}}]),e}();function cV(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);aV(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=RE(e);return new lV(a,t,r)}function pV(e,t,n,r){return new lV([],e,t,r)}function hV(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 lV([],n,e.dtype,r),o=RE(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function dV(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new 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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?122:"TensorListStack"===e.t0?128:"TensorListFromTensor"===e.t0?134:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?140:"TensorListPushBack"===e.t0?145:"TensorListPopBack"===e.t0?150:"TensorListSplit"===e.t0?155:"TensorListLength"===e.t0?161:"TensorListResize"===e.t0?164:170;break;case 3:return a=fW("thenBranch",t,n,r),i=fW("elseBranch",t,n,r),o=fW("cond",t,n,r),s=fW("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(kv().mark((function e(){var a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=fW("body",t,n,r),i=fW("cond",t,n,r),o=fW("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=kv().mark((function e(){var t,n,o;return kv().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=fW("pred",t,n,r),e.abrupt("return",[wW(l)]);case 21:return c=fW("pred",t,n,r),(p=fW("data",t,n,r)).kept||(p=wW(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!==mW(e,n,r)})),!h){e.next=36;break}return d=mW(h,n,r),e.abrupt("return",[wW(d)]);case 36:return e.abrupt("return",void 0);case 37:return f=fW("frameName",t,n,r),m=fW("tensor",t,n,r),r.enterFrame(f),e.abrupt("return",[wW(m)]);case 41:return v=fW("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[wW(v)]);case 44:return g=fW("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[wW(g)]);case 47:return y=fW("size",t,n,r),b=fW("dtype",t,n,r),x=fW("elementShape",t,n,r),w=fW("dynamicSize",t,n,r),k=fW("clearAfterRead",t,n,r),N=fW("identicalElementShapes",t,n,r),I=fW("name",t,n,r),S=new uV(I,b,y,x,N,w,k),r.addTensorArray(S),e.abrupt("return",[S.idTensor,KS(1)]);case 57:return T=fW("tensorArrayId",t,n,r),C=fW("index",t,n,r),E=fW("tensor",t,n,r),(A=r.getTensorArray(T.id)).write(C,E),e.abrupt("return",[A.idTensor]);case 63:return R=fW("tensorArrayId",t,n,r),_=fW("index",t,n,r),F=r.getTensorArray(R.id),e.abrupt("return",[F.read(_)]);case 67:return O=fW("tensorArrayId",t,n,r),D=fW("indices",t,n,r),M=fW("dtype",t,n,r),L=r.getTensorArray(O.id),e.abrupt("return",[L.gather(D,M)]);case 72:return z=fW("tensorArrayId",t,n,r),P=fW("indices",t,n,r),B=fW("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(P,B),e.abrupt("return",[W.idTensor]);case 78:return V=fW("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=fW("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=fW("tensorArrayId",t,n,r),H=fW("tensor",t,n,r),q=fW("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=fW("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[KS(Y.size(),"int32")]);case 91:return J=fW("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=fW("tensorListId",t,n,r),$=fW("index",t,n,r),ee=fW("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=fW("tensorListId",t,n,r),re=fW("index",t,n,r),ae=fW("elementShape",t,n,r),ie=fW("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=fW("indices",t,n,r),ue=fW("tensor",t,n,r),le=fW("elementShape",t,n,r),ce=fW("numElements",t,n,r),pe=hV(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=fW("elementShape",t,n,r),de=fW("elementDType",t,n,r),fe="TensorListReserve"===t.op?"numElements":"maxNumElements",me=fW(fe,t,n,r),ve="TensorListReserve"===t.op?-1:me,ge=pV(he,de,0,ve),r.addTensorList(ge),e.abrupt("return",[ge.idTensor]);case 122:return ye=fW("tensorListId",t,n,r),be=fW("indices",t,n,r),xe=fW("elementShape",t,n,r),we=fW("elementDType",t,n,r),ke=r.getTensorList(ye.id),e.abrupt("return",[ke.gather(be,we,xe)]);case 128:return Ne=fW("tensorListId",t,n,r),Ie=fW("elementShape",t,n,r),Se=fW("elementDType",t,n,r),Te=fW("numElements",t,n,r),Ce=r.getTensorList(Ne.id),e.abrupt("return",[Ce.stack(Ie,Se,Te)]);case 134:return Ee=fW("tensor",t,n,r),Ae=fW("elementShape",t,n,r),Re=fW("elementDType",t,n,r),_e=cV(Ee,Ae,Re),r.addTensorList(_e),e.abrupt("return",[_e.idTensor]);case 140:return Fe=fW("tensorListId",t,n,r),Oe=r.getTensorList(Fe.id),De=fW("dtype",t,n,r),Me=fW("elementShape",t,n,r),e.abrupt("return",[Oe.concat(De,Me)]);case 145:return Le=fW("tensorListId",t,n,r),ze=fW("tensor",t,n,r),(Pe=r.getTensorList(Le.id)).pushBack(ze),e.abrupt("return",[Pe.idTensor]);case 150:return Be=fW("tensorListId",t,n,r),We=fW("elementShape",t,n,r),Ve=fW("elementDType",t,n,r),Ue=r.getTensorList(Be.id),e.abrupt("return",[Ue.popBack(We,Ve)]);case 155:return Ge=fW("tensor",t,n,r),je=fW("elementShape",t,n,r),He=fW("lengths",t,n,r),qe=dV(Ge,He,je),r.addTensorList(qe),e.abrupt("return",[qe.idTensor]);case 161:return Ke=fW("tensorListId",t,n,r),Xe=r.getTensorList(Ke.id),e.abrupt("return",[KS(Xe.size(),"int32")]);case 164:return Ye=fW("tensorListId",t,n,r),Je=fW("size",t,n,r),Ze=r.getTensorList(Ye.id),Qe=Ze.resize(Je),r.addTensorList(Qe),e.abrupt("return",[Qe.idTensor]);case 170:throw TypeError("Node type "+t.op+" is not implemented");case 171:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function mV(e,t,n){var r=fW("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,l="fusedbatchnorm"===a,c=fW("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=fW("strides",e,t,n),h=xW(e,t,n),d=fW("dataFormat",e,t,n).toUpperCase(),f=fW("dilations",e,t,n),m=fW("args",e,t,n),v=m[0],g=m[1];return s&&(g=v,v=void 0),{stride:p,pad:h,dataFormat:d,dilations:f,biasArg:v,preluArg:g,activationFunc:i,leakyreluAlpha:fW("leakyreluAlpha",e,t,n)}}function vV(e,t,n){return{boxes:fW("boxes",e,t,n),scores:fW("scores",e,t,n),maxOutputSize:fW("maxOutputSize",e,t,n),iouThreshold:fW("iouThreshold",e,t,n),scoreThreshold:fW("scoreThreshold",e,t,n),softNmsSigma:fW("softNmsSigma",e,t,n)}}var gV=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,d,f,m,v,g,y,b,x,w,k,N,I,S,T,C,E,A;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===i&&(i=rV),e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return o=vV(t,n,r),s=o.boxes,u=o.scores,l=o.maxOutputSize,c=o.iouThreshold,p=o.scoreThreshold,h=o.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(s,u,l,c,p,h);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return f=vV(t,n,r),m=f.boxes,v=f.scores,g=f.maxOutputSize,y=f.iouThreshold,b=f.scoreThreshold,x=fW("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,v,g,y,b,x);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return k=vV(t,n,r),N=k.boxes,I=k.scores,S=k.maxOutputSize,T=k.iouThreshold,C=k.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,I,S,T,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return E=i.cast(fW("condition",t,n,r),"bool"),e.next=23,i.whereAsync(E);case 23:return e.t2=e.sent,A=[e.t2],E.dispose(),e.abrupt("return",A);case 27:return e.abrupt("return",i.setdiff1dAsync(fW("x",t,n,r),fW("y",t,n,r)));case 28:throw TypeError("Node type "+t.op+" is not implemented");case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),yV=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=KS(0),this.tensorMap=new Map,nI(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 KS(this.size(),"int32")},t.import=function(){var e=Iv(kv().mark((function e(t,n){var r,a=this;return kv().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",eI((function(){var e=RE(n),t=r.length,i=e.length;Hv(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];nI(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=Iv(kv().mark((function e(t,n){var r,a=this;return kv().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",eI((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return pE(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)},Tv(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),bV=function(){var e=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,d,f,m,v,g,y;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return o=fW("keyDType",t,n,r),s=fW("valueDType",t,n,r),u=new yV(o,s),a.addHashTable(t.name,u),e.abrupt("return",[u.handle]);case 13:return l=fW("tableHandle",t,n,r,a),c=fW("keys",t,n,r),p=fW("values",t,n,r),h=a.getHashTableById(l.id),e.next=19,h.import(c,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return d=fW("tableHandle",t,n,r,a),f=fW("keys",t,n,r),m=fW("defaultValue",t,n,r),v=a.getHashTableById(d.id),e.next=27,v.find(f,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return g=fW("tableHandle",t,n,r,a),y=a.getHashTableById(g.id),e.abrupt("return",[y.tensorSize()]);case 32:throw TypeError("Node type "+t.op+" is not implemented");case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function xV(e,t,n,r,a){void 0===a&&(a=eI);var i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(fW("a",e,t,n),fW("b",e,t,n))];case"AddN":return[r.addN(fW("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(fW("a",e,t,n),fW("b",e,t,n))];case"Mul":return[r.mul(fW("a",e,t,n),fW("b",e,t,n))];case"RealDiv":case"Div":return[r.div(fW("a",e,t,n),fW("b",e,t,n))];case"DivNoNan":return[r.divNoNan(fW("a",e,t,n),fW("b",e,t,n))];case"FloorDiv":return[r.floorDiv(fW("a",e,t,n),fW("b",e,t,n))];case"Sub":return[r.sub(fW("a",e,t,n),fW("b",e,t,n))];case"Minimum":return[r.minimum(fW("a",e,t,n),fW("b",e,t,n))];case"Maximum":return[r.maximum(fW("a",e,t,n),fW("b",e,t,n))];case"Pow":return[r.pow(fW("a",e,t,n),fW("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(fW("a",e,t,n),fW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Abs":case"ComplexAbs":return[r.abs(fW("x",e,t,n))];case"Acos":return[r.acos(fW("x",e,t,n))];case"Acosh":return[r.acosh(fW("x",e,t,n))];case"Asin":return[r.asin(fW("x",e,t,n))];case"Asinh":return[r.asinh(fW("x",e,t,n))];case"Atan":return[r.atan(fW("x",e,t,n))];case"Atan2":return[r.atan2(fW("x",e,t,n),fW("y",e,t,n))];case"Atanh":return[r.atanh(fW("x",e,t,n))];case"Ceil":return[r.ceil(fW("x",e,t,n))];case"Complex":return[r.complex(fW("real",e,t,n),fW("imag",e,t,n))];case"Cos":return[r.cos(fW("x",e,t,n))];case"Cosh":return[r.cosh(fW("x",e,t,n))];case"Elu":return[r.elu(fW("x",e,t,n))];case"Erf":return[r.erf(fW("x",e,t,n))];case"Exp":return[r.exp(fW("x",e,t,n))];case"Expm1":return[r.expm1(fW("x",e,t,n))];case"Floor":return[r.floor(fW("x",e,t,n))];case"Log":return[r.log(fW("x",e,t,n))];case"Log1p":return[r.log1p(fW("x",e,t,n))];case"Imag":return[r.imag(fW("x",e,t,n))];case"Neg":return[r.neg(fW("x",e,t,n))];case"Reciprocal":return[r.reciprocal(fW("x",e,t,n))];case"Real":return[r.real(fW("x",e,t,n))];case"Relu":return[r.relu(fW("x",e,t,n))];case"Round":return[r.round(fW("x",e,t,n))];case"Selu":return[r.selu(fW("x",e,t,n))];case"Sigmoid":return[r.sigmoid(fW("x",e,t,n))];case"Sin":return[r.sin(fW("x",e,t,n))];case"Sign":return[r.sign(fW("x",e,t,n))];case"Sinh":return[r.sinh(fW("x",e,t,n))];case"Softplus":return[r.softplus(fW("x",e,t,n))];case"Sqrt":return[r.sqrt(fW("x",e,t,n))];case"Square":return[r.square(fW("x",e,t,n))];case"Tanh":return[r.tanh(fW("x",e,t,n))];case"Tan":return[r.tan(fW("x",e,t,n))];case"ClipByValue":return[r.clipByValue(fW("x",e,t,n),fW("clipValueMin",e,t,n),fW("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(fW("x",e,t,n))];case"Rsqrt":return[r.rsqrt(mW(e.inputNames[0],t,n))];case"Prod":return[r.prod(fW("x",e,t,n),fW("axes",e,t,n))];case"LeakyRelu":return[r.leakyRelu(fW("x",e,t,n),fW("alpha",e,t,n))];case"Prelu":return[r.prelu(fW("x",e,t,n),fW("alpha",e,t,n))];case"IsNan":return[r.isNaN(mW(e.inputNames[0],t,n))];case"IsInf":return[r.isInf(mW(e.inputNames[0],t,n))];case"IsFinite":return[r.isFinite(mW(e.inputNames[0],t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return fV(e,t,n);case"convolution":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Conv1D":var a=fW("stride",e,t,n),i=fW("pad",e,t,n),o=fW("dataFormat",e,t,n).toUpperCase(),s=fW("dilation",e,t,n);return[r.conv1d(fW("x",e,t,n),fW("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=fW("strides",e,t,n),l=xW(e,t,n),c=fW("dataFormat",e,t,n).toUpperCase(),p=fW("dilations",e,t,n);return[r.conv2d(fW("x",e,t,n),fW("filter",e,t,n),[u[1],u[2]],l,c,[p[1],p[2]])];case"_FusedConv2D":var h=mV(e,t,n),d=h.stride,f=h.pad,m=h.dataFormat,v=h.dilations,g=h.biasArg,y=h.preluArg,b=h.activationFunc,x=h.leakyreluAlpha;return[r.fused.conv2d({x:fW("x",e,t,n),filter:fW("filter",e,t,n),strides:[d[1],d[2]],pad:f,dataFormat:m,dilations:[v[1],v[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var w=mV(e,t,n),k=w.stride,N=w.pad,I=w.dataFormat,S=w.dilations,T=w.biasArg,C=w.preluArg,E=w.activationFunc,A=w.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:fW("x",e,t,n),filter:fW("filter",e,t,n),strides:[k[1],k[2]],pad:N,dataFormat:I,dilations:[S[1],S[2]],bias:T,activation:E,preluActivationWeights:C,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=fW("outputShape",e,t,n),_=fW("strides",e,t,n),F=xW(e,t,n);return[r.conv2dTranspose(fW("x",e,t,n),fW("filter",e,t,n),R,[_[1],_[2]],F)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var O=fW("strides",e,t,n),D=xW(e,t,n),M=fW("dilations",e,t,n),L=fW("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(fW("input",e,t,n),fW("filter",e,t,n),[O[1],O[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=fW("strides",e,t,n),P=fW("pad",e,t,n),B=fW("dataFormat",e,t,n).toUpperCase(),W=fW("dilations",e,t,n);return[r.conv3d(fW("x",e,t,n),fW("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=fW("strides",e,t,n),U=fW("pad",e,t,n),G=fW("kernelSize",e,t,n);return[r.avgPool(fW("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=fW("strides",e,t,n),H=fW("pad",e,t,n),q=fW("kernelSize",e,t,n);return[r.maxPool(fW("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=fW("strides",e,t,n),X=fW("pad",e,t,n),Y=fW("kernelSize",e,t,n),J=fW("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(fW("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J);return[Z.result,Z.indexes];case"AvgPool3D":var Q=fW("strides",e,t,n),$=fW("pad",e,t,n),ee=fW("kernelSize",e,t,n);return[r.avgPool3d(fW("x",e,t,n),[ee[1],ee[2],ee[3]],[Q[1],Q[2],Q[3]],$)];case"MaxPool3D":var te=fW("strides",e,t,n),ne=fW("pad",e,t,n),re=fW("kernelSize",e,t,n);return[r.maxPool3d(fW("x",e,t,n),[re[1],re[2],re[3]],[te[1],te[2],te[3]],ne)];case"Dilation2D":var ae=fW("strides",e,t,n),ie=fW("pad",e,t,n),oe=fW("dilations",e,t,n),se=ae[1],ue=ae[2],le=oe[1],ce=oe[2];return[r.dilation2d(fW("x",e,t,n),fW("filter",e,t,n),[se,ue],ie,[le,ce],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Fill":var a=fW("shape",e,t,n),i=fW("dtype",e,t,n),o=fW("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=fW("start",e,t,n),u=fW("stop",e,t,n),l=fW("num",e,t,n);return[r.linspace(s,u,l)];case"Multinomial":var c=fW("logits",e,t,n),p=fW("numSamples",e,t,n),h=fW("seed",e,t,n);return[r.multinomial(c,p,h)];case"OneHot":var d=fW("indices",e,t,n),f=fW("depth",e,t,n),m=fW("onValue",e,t,n),v=fW("offValue",e,t,n),g=fW("dtype",e,t,n);return[r.oneHot(d,f,m,v,g)];case"Ones":return[r.ones(fW("shape",e,t,n),fW("dtype",e,t,n))];case"OnesLike":return[r.onesLike(fW("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(fW("shape",e,t,n),fW("dtype",e,t,n),fW("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(fW("shape",e,t,n),fW("minval",e,t,n),fW("maxval",e,t,n),fW("dtype",e,t,n))];case"Range":var y=fW("start",e,t,n),b=fW("stop",e,t,n),x=fW("step",e,t,n);return[r.range(y,b,x,fW("dtype",e,t,n))];case"TruncatedNormal":var w=fW("shape",e,t,n),k=fW("mean",e,t,n),N=fW("stdDev",e,t,n),I=fW("seed",e,t,n);return[r.truncatedNormal(w,k,N,fW("dtype",e,t,n),I)];case"Zeros":return[r.zeros(fW("shape",e,t,n),fW("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(fW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return gV(e,t,n);case"evaluation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"LowerBound":var a=fW("sortedSequence",e,t,n),i=fW("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=fW("x",e,t,n),s=fW("k",e,t,n),u=fW("sorted",e,t,n),l=r.topk(o,s,u);return[l.values,l.indices];case"UpperBound":var c=fW("sortedSequence",e,t,n),p=fW("values",e,t,n);return[r.upperBound(c,p)];case"Unique":var h=fW("x",e,t,n),d=r.unique(h);return[d.values,d.indices];case"UniqueV2":var f=fW("x",e,t,n),m=fW("axis",e,t,n),v=r.unique(f,m);return[v.values,v.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"ResizeBilinear":var a=fW("images",e,t,n),i=fW("size",e,t,n),o=fW("alignCorners",e,t,n),s=fW("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=fW("images",e,t,n),l=fW("size",e,t,n),c=fW("alignCorners",e,t,n),p=fW("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[l[0],l[1]],c,p)];case"CropAndResize":var h=fW("image",e,t,n),d=fW("boxes",e,t,n),f=fW("boxInd",e,t,n),m=fW("cropSize",e,t,n),v=fW("method",e,t,n),g=fW("extrapolationValue",e,t,n);return[r.image.cropAndResize(h,d,f,m,v,g)];case"ImageProjectiveTransformV3":var y=fW("images",e,t,n),b=fW("transforms",e,t,n),x=fW("outputShape",e,t,n),w=fW("fillValue",e,t,n),k=fW("interpolation",e,t,n),N=fW("fillMode",e,t,n);return[r.image.transform(y,b,k.toLowerCase(),N.toLowerCase(),w,x)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=fW("default",e,t,n);return[mW(e.name,t,n)||a];case"Placeholder":return[mW(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[wW(fW("x",e,t,n))];case"IdentityN":return fW("x",e,t,n).map((function(e){return wW(e)}));case"Shape":return[r.tensor1d(fW("x",e,t,n).shape,"int32")];case"ShapeN":return fW("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(fW("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(fW("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var i=fW("x",e,t,n),o=fW("data",e,t,n),s=fW("message",e,t,n),u=fW("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(s);for(var l=0;l<o.length;l++)console.log(Array.prototype.slice.call(o[l].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Equal":return[r.equal(fW("a",e,t,n),fW("b",e,t,n))];case"NotEqual":return[r.notEqual(fW("a",e,t,n),fW("b",e,t,n))];case"Greater":return[r.greater(fW("a",e,t,n),fW("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(fW("a",e,t,n),fW("b",e,t,n))];case"Less":return[r.less(fW("a",e,t,n),fW("b",e,t,n))];case"LessEqual":return[r.lessEqual(fW("a",e,t,n),fW("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(fW("a",e,t,n),fW("b",e,t,n))];case"LogicalNot":return[r.logicalNot(fW("a",e,t,n))];case"LogicalOr":return[r.logicalOr(fW("a",e,t,n),fW("b",e,t,n))];case"Select":case"SelectV2":return[r.where(fW("condition",e,t,n),fW("a",e,t,n),fW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return a((function(){return function(e,t,n,r){var a;switch(void 0===r&&(r=rV),e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(fW("a",e,t,n),fW("b",e,t,n),fW("transposeA",e,t,n),fW("transposeB",e,t,n))];case"Einsum":return[(a=r).einsum.apply(a,[fW("equation",e,t,n)].concat(fW("tensors",e,t,n)))];case"Transpose":return[r.transpose(fW("x",e,t,n),fW("perm",e,t,n))];case"_FusedMatMul":var i=fW("fusedOps",e,t,n),o=i[0],s=i[1],u="biasadd"===o,l="prelu"===s,c=fW("numArgs",e,t,n),p=fW("leakyreluAlpha",e,t,n);if(u){if(l&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!l&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var h=fW("args",e,t,n),d=h[0],f=h[1];return[r.fused.matMul({a:fW("a",e,t,n),b:fW("b",e,t,n),transposeA:fW("transposeA",e,t,n),transposeB:fW("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:f,leakyreluAlpha:p})];case"MatrixBandPart":return[r.linalg.bandPart(fW("a",e,t,n),fW("numLower",e,t,n),fW("numUpper",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"EuclideanNorm":return[r.euclideanNorm(fW("x",e,t,n),fW("axis",e,t,n),fW("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(fW("x",e,t,n),fW("mean",e,t,n),fW("variance",e,t,n),fW("offset",e,t,n),fW("scale",e,t,n),fW("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(fW("x",e,t,n),fW("radius",e,t,n),fW("bias",e,t,n),fW("alpha",e,t,n),fW("beta",e,t,n))];case"Softmax":return[r.softmax(fW("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(fW("x",e,t,n))];case"SparseToDense":return[r.sparseToDense(fW("sparseIndices",e,t,n),fW("outputShape",e,t,n),fW("sparseValues",e,t,n),fW("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"ragged":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"RaggedGather":var a=r.raggedGather(fW("paramsNestedSplits",e,t,n),fW("paramsDenseValues",e,t,n),fW("indices",e,t,n),fW("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(fW("starts",e,t,n),fW("limits",e,t,n),fW("splits",e,t,n));return[s.rtNestedSplits,s.rtDenseValues];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(fW("shape",e,t,n),fW("values",e,t,n),fW("defaultValue",e,t,n),fW("rowPartitionTensors",e,t,n),fW("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Max":var a=fW("axis",e,t,n),i=fW("keepDims",e,t,n);return[r.max(fW("x",e,t,n),a,i)];case"Mean":var o=fW("axis",e,t,n),s=fW("keepDims",e,t,n);return[r.mean(fW("x",e,t,n),o,s)];case"Min":var u=fW("axis",e,t,n),l=fW("keepDims",e,t,n);return[r.min(fW("x",e,t,n),u,l)];case"Sum":var c=fW("axis",e,t,n),p=fW("keepDims",e,t,n);return[r.sum(fW("x",e,t,n),c,p)];case"All":var h=fW("axis",e,t,n),d=fW("keepDims",e,t,n);return[r.all(fW("x",e,t,n),h,d)];case"Any":var f=fW("axis",e,t,n),m=fW("keepDims",e,t,n);return[r.any(fW("x",e,t,n),f,m)];case"ArgMax":var v=fW("axis",e,t,n);return[r.argMax(fW("x",e,t,n),v)];case"ArgMin":var g=fW("axis",e,t,n);return[r.argMin(fW("x",e,t,n),g)];case"Prod":var y=fW("axis",e,t,n),b=fW("keepDims",e,t,n);return[r.prod(fW("x",e,t,n),y,b)];case"Cumprod":var x=fW("axis",e,t,n),w=fW("exclusive",e,t,n),k=fW("reverse",e,t,n);return[r.cumprod(fW("x",e,t,n),x,w,k)];case"Cumsum":var N=fW("axis",e,t,n),I=fW("exclusive",e,t,n),S=fW("reverse",e,t,n);return[r.cumsum(fW("x",e,t,n),N,I,S)];case"Bincount":var T=fW("x",e,t,n),C=fW("weights",e,t,n),E=fW("size",e,t,n);return[r.bincount(T,C,E)];case"DenseBincount":var A=fW("x",e,t,n),R=fW("weights",e,t,n),_=fW("size",e,t,n),F=fW("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,F)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"ConcatV2":case"Concat":var a=fW("n",e,t,n),i=fW("axis",e,t,n),o=fW("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=fW("x",e,t,n),u=fW("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var l=fW("axis",e,t,n),c=fW("batchDims",e,t,n),p=fW("x",e,t,n),h=fW("indices",e,t,n);return[r.gather(p,r.cast(h,"int32"),l,c)];case"Reverse":for(var d=fW("dims",e,t,n),f=[],m=0;m<d.length;m++)d[m]&&f.push(m);var v=fW("x",e,t,n);return[r.reverse(v,f)];case"ReverseV2":var g=fW("axis",e,t,n),y=fW("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=fW("begin",e,t,n),x=fW("size",e,t,n);return[r.slice(fW("x",e,t,n),b,x)];case"StridedSlice":var w=fW("begin",e,t,n),k=fW("end",e,t,n),N=fW("strides",e,t,n),I=fW("beginMask",e,t,n),S=fW("endMask",e,t,n),T=fW("ellipsisMask",e,t,n),C=fW("newAxisMask",e,t,n),E=fW("shrinkAxisMask",e,t,n),A=fW("x",e,t,n);return[r.stridedSlice(A,w,k,N,I,S,T,C,E)];case"Pack":return eI((function(){var a=fW("axis",e,t,n),i=fW("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=Yv(e.shape,o);if(!t&&!Yv(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var R=fW("axis",e,t,n),_=fW("tensor",e,t,n);return r.unstack(_,R);case"Tile":var F=fW("reps",e,t,n);return[r.tile(fW("x",e,t,n),F)];case"Split":case"SplitV":var O=fW("axis",e,t,n),D=fW("numOrSizeSplits",e,t,n),M=fW("x",e,t,n);return r.split(M,D,O);case"ScatterNd":var L=fW("indices",e,t,n),z=fW("values",e,t,n),P=fW("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=fW("x",e,t,n),W=fW("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=fW("sparseIndices",e,t,n),U=fW("outputShape",e,t,n),G=fW("sparseValues",e,t,n),j=fW("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=fW("indices",e,t,n),q=fW("values",e,t,n),K=fW("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"sparse":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(fW("indices",e,t,n),fW("values",e,t,n),fW("denseShape",e,t,n),fW("defaultValue",e,t,n));return[a.outputIndices,a.outputValues,a.emptyRowIndicator,a.reverseIndexMap];case"SparseReshape":var i=r.sparse.sparseReshape(fW("inputIndices",e,t,n),fW("inputShape",e,t,n),fW("newShape",e,t,n));return[i.outputIndices,i.outputShape];case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(fW("data",e,t,n),fW("indices",e,t,n),fW("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(fW("data",e,t,n),fW("indices",e,t,n),fW("segmentIds",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"FFT":return[r.fft(fW("x",e,t,n))];case"IFFT":return[r.ifft(fW("x",e,t,n))];case"RFFT":return[r.rfft(fW("x",e,t,n))];case"IRFFT":return[r.irfft(fW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"string":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(fW("input",e,t,n),fW("pattern",e,t,n),fW("rewrite",e,t,n),fW("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams(fW("data",e,t,n),fW("dataSplits",e,t,n),fW("separator",e,t,n),fW("nGramWidths",e,t,n),fW("leftPad",e,t,n),fW("rightPad",e,t,n),fW("padWidth",e,t,n),fW("preserveShortSequences",e,t,n));return[a.nGrams,a.nGramsSplits];case"StringSplit":var i=r.string.stringSplit(fW("input",e,t,n),fW("delimiter",e,t,n),fW("skipEmpty",e,t,n));return[i.indices,i.values,i.shape];case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(fW("input",e,t,n),fW("numBuckets",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=rV),e.op){case"Cast":return[r.cast(fW("x",e,t,n),fW("dtype",e,t,n))];case"ExpandDims":var a=fW("axis",e,t,n);return[r.expandDims(fW("x",e,t,n),a)];case"Squeeze":var i=fW("axis",e,t,n);return[r.squeeze(fW("x",e,t,n),i)];case"Reshape":return[r.reshape(fW("x",e,t,n),fW("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(fW("x",e,t,n),fW("padding",e,t,n),fW("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(fW("x",e,t,n),fW("padding",e,t,n),fW("constantValue",e,t,n))];case"SpaceToBatchND":var o=fW("blockShape",e,t,n),s=fW("paddings",e,t,n);return[r.spaceToBatchND(fW("x",e,t,n),o,s)];case"BatchToSpaceND":var u=fW("blockShape",e,t,n),l=fW("crops",e,t,n);return[r.batchToSpaceND(fW("x",e,t,n),u,l)];case"DepthToSpace":var c=fW("blockSize",e,t,n),p=fW("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(fW("x",e,t,n),c,p)];case"BroadcastTo":return[r.broadcastTo(fW("x",e,t,n),fW("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(fW("s0",e,t,n),fW("s1",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return bV(e,t,n,r);case"custom":var i=dW(e.op);if(i&&i.customExecutor)return i.customExecutor(new nV(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 Tg(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var wV=function(){function e(e,t,n,r,a){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.parseNodeNameCache=a,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)},Tv(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 kV(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=new Set(Object.keys(e).map((function(e){return bW(e)[0]})));r=r||[];for(var c=new Set(r.map((function(e){return bW(e.name)[0]}))),p=[].concat(t);p.length>0;){var h=p.pop();(EV(h)||AV(h)||RV(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]&&(l.has(h.name)||c.has(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}}function NV(e,t){var n=t.usedNodes,r=t.inputs,a=Object.keys(r).map((function(e){return bW(e)[0]})).map((function(t){return e.nodes[t]})),i=e.initNodes||[],o=function(e){return n.has("string"==typeof e?e:e.name)};function s(e){return[].concat(new Map(e.map((function(e){return[e.name,e]}))).values())}for(var u,l=s([].concat(a,e.weights,i)).filter(o),c=s([].concat(l,Object.values(e.nodes))).filter(o),p=new Map(c.map((function(e){return[e.name,e]}))),h={},d=Lv(c);!(u=d()).done;){var f=u.value;h[f.name]=h[f.name]||0;for(var m,v=Lv(f.children);!(m=v()).done;){var g=m.value;o(g)||(h[g.name]=Number.POSITIVE_INFINITY),h[g.name]=(h[g.name]||0)+1}}for(var y=Object.entries(h).filter((function(e){return 0===e[1]})).map((function(e){return e[0]})),b=[].concat(y);y.length>0;)for(var x,w=y.pop(),k=Lv(p.get(w).children.filter(o));!(x=k()).done;){var N=x.value;0==--h[N.name]&&(b.push(N.name),y.push(N.name))}var I=function(e,t){var n=new Map(e.map((function(e){return[e.name,e]}))),r=t.map((function(e){return e.name})),a=new Set(r);for(;r.length>0;)for(var i,o=r.pop(),s=Lv(n.get(o).children);!(i=s()).done;){var u=i.value;n.has(u.name)&&!a.has(u.name)&&(a.add(u.name),r.push(u.name))}var l=e.filter((function(e){return a.has(e.name)}));return l}(b.map((function(e){return p.get(e)})),l);return function(e,t){for(var n,r=new Map(e.map((function(e,t){return[e.name,t]}))),a=new Set(t.map((function(e){return e.name}))),i=function(e){return a.has("string"==typeof e?e:e.name)},o=new Set(e.map((function(e){return e.name}))),s=function(e){return o.has("string"==typeof e?e:e.name)},u=Lv(e);!(n=u()).done;){for(var l,c=n.value,p=Lv(c.children.filter(s));!(l=p()).done;){var h=l.value;if(!r.has(h.name))throw new IV("Child "+h.name+" of node "+c.name+" is unreachable.");if(r.get(c.name)>r.get(h.name))throw new IV("Node "+c.name+" is scheduled to run after its child "+h.name+".")}if(!i(c))for(var d,f=Lv(c.inputs);!(d=f()).done;){var m=d.value;if(!r.has(m.name))throw new IV("Input "+m.name+" of node "+c.name+" is unreachable.");if(r.get(m.name)>r.get(c.name))throw new IV("Node "+c.name+" is scheduled to run before its input "+m.name+".")}}}(I,l),I}var IV=function(e){function t(t){return e.call(this,"NodesExecutionOrderError: "+t)||this}return Cv(t,e),t}(Fv(Error));var SV=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),TV=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),CV=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function EV(e){return SV.has(e.op)}function AV(e){return TV.has(e.op)}function RV(e){return CV.has(e.op)}var _V=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t=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.SEPARATOR)+"--"+r.join(this.SEPARATOR)},t.compile=function(e,t){var n=kV(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+"]")}var u=NV(this.graph,n),l=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return EV(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},i=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),o=new Map,s=0;s<e.length;++s){var u=i[s];if(u!==n){var l=e[s],c=e[u];o.has(c.name)||o.set(c.name,[]),o.get(c.name).push(l.name)}}return o}(u);return{orderedNodes:u,nodeLiveUntilMap:l}},t.cloneAndKeepTensor=function(e){if(null==e)return null;var t=e.clone();return nI(t),t},t.cloneTensorList=function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n},t.cloneTensorMap=function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=e[0],r=e[1];return[n,t.cloneTensorList(r)]})))},t.execute=function(e,t){var n=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[bW(e)[0]]})),i=t.map((function(e){return bW(e)[0]})),o=new Set(i),s=i.map((function(e){return n.graph.nodes[e]}));0===s.length&&(s=this._outputs);var u=this.getCompilationKey(a,s),l=this.compiledMap.get(u);null==l&&(l=this.compile(e,s),this.compiledMap.set(u,l));try{this.keepIntermediateTensors=Fg().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var c={},p={};return eI((function(){var r=new wV(n.weightMap,c,p,n.functionExecutorMap,n.parseNodeNameCache),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var i=bW(t,r),o=i[0],s=[];s[i[1]]=e[t],a[o]=s,n.keepIntermediateTensors&&(n.clonedTensorsMap[o]=n.cloneTensorList(s))}));for(var i,s=n.getFrozenTensorIds(a),u=l,h=u.orderedNodes,d=u.nodeLiveUntilMap,f=Lv(h);!(i=f()).done;){var m=i.value;if(!a[m.name]){var v=xV(m,a,r,n._resourceManager);if(Tg(v))throw new Error("The execution of the op '"+m.op+"' returned a promise. Please use model.executeAsync() instead.");a[m.name]=v,n.keepIntermediateTensors&&(n.clonedTensorsMap[m.name]=n.cloneTensorList(v)),n.checkTensorForDisposalWithNodeLiveUntilInfo(m,a,r,s,o,d.get(m.name))}}return null==n.parent&&r.dispose(s),t.map((function(e){return mW(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){if(!EV(t)&&!i.has(e)){for(var s,u=Lv(n[e]);!(s=u()).done;){var l=s.value;null!=l&&(o[l.id]=(o[l.id]||0)+t.children.length)}for(var c,p=Lv(t.inputs);!(c=p()).done;){var h=c.value;if(!EV(h)){var d=vW(h.name,n,r);if(null!=d)for(var f,m=Lv(d);!(f=m()).done;){var v=f.value;if(v&&!v.kept&&!a.has(v.id)){var g=o[v.id];1===g?(v.dispose(),delete o[v.id]):null!=g&&o[v.id]--}}}}}},t.checkTensorForDisposalWithNodeLiveUntilInfo=function(e,t,n,r,a,i){if(!EV(e)&&!a.has(e.name)&&null!=i)for(var o,s=Lv(i);!(o=s()).done;)for(var u,l=Lv(vW(o.value,t,n));!(u=l()).done;){var c=u.value;!c||c.kept||r.has(c.id)||c.dispose()}},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){return kv().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(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){for(var t,n=Lv(e);!(t=n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}})),this.clonedTensorsMap=null)},t.getIntermediateTensors=function(){return this.clonedTensorsMap},t._executeAsync=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===r&&(r=!1),void 0===a&&(a={}),void 0===i&&(i={}),this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=Fg().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return o=new wV(this.weightMap,a,i,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,o,n,r);case 10:return s=e.sent,u=n.map((function(e){return mW(e,s,o)})),l=u.map((function(e){return e.id})),c=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(l,c,this.weightIds)),Object.values(s).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&o.dispose(p),e.abrupt("return",u);case 18:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),t.executeFunctionAsync=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i=this;return kv().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=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,d,f,m,v,g,y,b,x,w,k,N=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),o=i.map((function(e){return N.graph.nodes[bW(e)[0]]})),s=r.map((function(e){return bW(e)[0]})),u=new Set(s),0===(l=s.map((function(e){return N.graph.nodes[e]}))).length&&(l=this._outputs),c=kV(t,l,this.weightMap,this._initNodes),p=c.usedNodes,h=c.missingInputs,d=c.dynamicNode,f=c.syncInputs,m=[].concat(o,this.graph.weights,this._initNodes||[]).map((function(e){return{node:e,contexts:n.currentContext}})),v=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=bW(e),r=n[0],a=[];a[n[1]]=t[e],v[r]=a})),g={},y=this.getFrozenTensorIds(v),b={};case 13:if(!(m.length>0)){e.next=19;break}return x=this.processStack(o,m,n,v,b,y,u,g,p),e.next=17,Promise.all(x);case 17:e.next=13;break;case 19:if(null!=d||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),w=l.filter((function(e){return!EV(e)&&!mW(e.name,v,n)})).map((function(e){return e.name})),!(w.length>0)){e.next=25;break}throw k="",null!=d&&(k="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+w+"] from the provided inputs ["+i+"]. Consider providing the following inputs: ["+h+"]. "+k);case 25:return e.abrupt("return",v);case 26: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&&fW("isConstant",e.node,r,n)){var h=gW(e.node.name,n);p=h[0]}if(null==r[e.node.name]){var d=xV(e.node,r,n,l._resourceManager);if(!p){var f=gW(e.node.name,n);p=f[0]}var m=n.currentContext;Tg(d)?c.push(d.then((function(c){return r[p]=c,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(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]=d,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(d)),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=gW(e.name,n)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!mW(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!mW(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=bW(n)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));Hv(s,(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&&Hv(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,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r},t.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=bW(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){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})},t.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=bW(e)[0];if(!t.graph.nodes[n])throw new Error("The output '"+e+"' is not found in the graph")}))},Tv(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}(),FV=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}(),OV=function(){function e(e,t,n){void 0===t&&(t={}),void 0===n&&(n=GR),this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,null==t&&(this.loadOptions={}),this.resourceManager=new FV}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=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},t.load=function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return Tg(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)},t.loadSync=function(e){this.artifacts=e;var t=this.artifacts.modelTopology,n=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var r=this.artifacts.userDefinedMetadata;null!=r.signature&&(n=r.signature),null!=r.structuredOutputKeys&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version=t.versions.producer+"."+t.versions.minConsumer;var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new _V(VW.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=VW.Instance.transformGraph(e.modelInitializer);this.initializer=new _V(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0},t.save=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '"+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.addStructuredOutputNames=function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof ak?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e},t.predict=function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)},t.predictAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.normalizeInputs=function(e){var t,n=this;if(!(e instanceof ak||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has "+(this.inputNodes.length-o)+" non-resource placeholders, while there are "+e.length+" input tensors provided.");var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})},t.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},t.executeInitializerGraph=function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))},t.executeInitializerGraphAsync=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.setResourceIdToCapturedInput=function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}},t.execute=function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)})));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.resourceIdToCapturedInput&&tI(this.resourceIdToCapturedInput)),this.resourceManager.dispose()},Tv(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}}]),e}();function DV(){return DV=Iv(kv().mark((function e(t,n,r){var a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),void 0===r&&(r=GR),null!=t){e.next=4;break}throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");case 4:return null==n&&(n={}),n.fromTFHub&&"string"==typeof t&&(t=MV(t)),a=new OV(t,n,r),e.next=9,a.load();case 9:return e.abrupt("return",a);case 10:case"end":return e.stop()}}),e)}))),DV.apply(this,arguments)}function MV(e){return e.endsWith("/")||(e+="/"),e+"model.json?tfjs-format=file"}var LV="4.3.0";function zV(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(GV(e)){var i=Array.isArray(e)?[]:{};for(var o in r.add(e),e){var s=zV(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 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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=Lv(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 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XV(e){return new eU(e)}function YV(e){return new tU(e)}function JV(e,t){return new hU(e,t)}function ZV(e,t){return void 0===t&&(t=QV.FAIL),new dU(e,t)}KV.INITIAL_CAPACITY=32;var QV,$V=function(){function e(){}var t=e.prototype;return t.toArray=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().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=Iv(kv().mark((function e(){var t,n,r;return kv().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=Iv(kv().mark((function e(){var t;return kv().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=Iv(kv().mark((function e(t){var n,r;return kv().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 uU(this,e)},t.filter=function(e){return new oU(this,e)},t.map=function(e){return new sU(this,e)},t.mapAsync=function(e){return new lU(this,e)},t.serialMapAsync=function(e){return new lU(this,e).serial()},t.flatmap=function(e){return new pU(this,e)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().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=Iv(kv().mark((function e(t){return kv().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 iU(this,e,t)},t.columnMajorBatch=function(e,t,n){return void 0===t&&(t=!0),void 0===n&&(n=WV),this.rowMajorBatch(e,t).map((function(e){return PV(e,n)}))},t.concatenate=function(e,t){return new hU(XV([this,e]),t)},t.take=function(e){return e<0||null==e?this:new aU(this,e)},t.skip=function(e){return e<0||null==e?this:new rU(this,e)},t.prefetch=function(e){return new fU(this,e)},t.shuffle=function(e,t){return new mU(this,e,t)},t.serial=function(){return new nU(this)},e}(),eU=function(e){function t(t){var n;return(n=e.call(this)||this).items=t,n.trav=0,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Array of "+this.items.length+" items"},n.next=function(){var e=Iv(kv().mark((function e(){var t;return kv().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:jV(t),done:!1});case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),tU=function(e){function t(t){var n;return(n=e.call(this)||this).nextFn=t,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Function call"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.abrupt("return",this.nextFn());case 4:throw e.prev=4,e.t0=e.catch(0),e.t0.message="Error thrown while iterating through a dataset: "+e.t0.message,e.t0;case 8:case"end":return e.stop()}}),e,this,[[0,4]])})));return function(){return e.apply(this,arguments)}}(),t}($V),nU=function(e){function t(t){var n;return(n=e.call(this)||this).upstream=t,n.lastRead=Promise.resolve({value:null,done:!1}),n}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Serial"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().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=Iv(kv().mark((function e(){return kv().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}($V),rU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Skip"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++<this.maxCount)){e.next=9;break}return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done){e.next=6;break}return e.abrupt("return",t);case 6:tI(t.value),e.next=0;break;case 9:return e.abrupt("return",this.upstream.next());case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),aU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Take"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().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}($V),iU=function(e){function t(t,n,r){var a;return void 0===r&&(r=!0),(a=e.call(this)||this).upstream=t,a.batchSize=n,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:t=[];case 1:if(!(t.length<this.batchSize)){e.next=12;break}return e.next=4,this.upstream.next();case 4:if(!(n=e.sent).done){e.next=9;break}if(!(this.enableSmallLastBatch&&t.length>0)){e.next=8;break}return e.abrupt("return",{value:t,done:!1});case 8:return e.abrupt("return",{value:null,done:!0});case 9:t.push(n.value),e.next=1;break;case 12:return e.abrupt("return",{value:t,done:!1});case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),oU=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}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Filter"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().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=Iv(kv().mark((function e(){var t;return kv().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:tI(t.value),e.next=0;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),sU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Map"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:for(n=xk(t.value),r=this.transform(t.value),a=xk(r),i=Lv(n);!(o=i()).done;)bk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),uU=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}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> handleErrors"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().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=Iv(kv().mark((function e(){return kv().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}($V),lU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> AsyncMap"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:return n=xk(t.value),e.next=8,this.transform(t.value);case 8:for(r=e.sent,a=xk(r),i=Lv(n);!(o=i()).done;)bk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),cU=function(e){function t(){var t;return(t=e.call(this)||this).outputQueue=new KV,t.lastRead=Promise.resolve({value:null,done:!1}),t}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().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=Iv(kv().mark((function e(){return kv().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}($V),pU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Flatmap"},n.pump=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().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=xk(t.value),r=this.transform(t.value),a=xk(r),this.outputQueue.pushAll(r),i=Lv(n);!(o=i()).done;)bk(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}(cU),hU=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}Cv(t,e);var n=t.prototype;return n.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(t){var n,r;return kv().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}($V);!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(QV||(QV={}));var dU=function(e){function t(t,n){var r;return void 0===n&&(n=QV.FAIL),(r=e.call(this)||this).iterators=t,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},n.nextState=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=function(e){return e instanceof $V?{value:e.next().then((function(e){return n++,e.done&&r++,e.value})),recurse:!1}:{value:null,recurse:!0}},e.next=3,t;case 3:return n=0,r=0,e.next=7,VV(this.iterators,a);case 7:if(i=e.sent,n!==r){e.next=10;break}return e.abrupt("return",{value:null,done:!0});case 10:if(!(r>0)){e.next=16;break}e.t0=this.mismatchMode,e.next=e.t0===QV.FAIL?14:e.t0===QV.SHORTEST?15:(e.t0,QV.LONGEST,16);break;case 14:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case 15:return e.abrupt("return",{value:null,done:!0});case 16:return this.count++,e.abrupt("return",{value:i,done:!1});case 18:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.currentPromise=this.nextState(this.currentPromise),e.abrupt("return",this.currentPromise);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}($V),fU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.bufferSize=n,r.buffer=new qV(n),r}Cv(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}($V),mU=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=xC(r||Vw().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().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=Iv(kv().mark((function e(){var t,n;return kv().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}(fU),vU=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 Hv(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),gU(Iv(kv().mark((function n(){return kv().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,yU));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,gU(Iv(kv().mark((function t(){return kv().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,gU(Iv(kv().mark((function t(){return kv().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 eI((function(){return e(t)}))})));case 3:case"end":return t.stop()}}),t)}))),t)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().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 gU(Iv(kv().mark((function n(){return kv().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 eI((function(){return e(t)}))})));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.mapAsync=function(e){var t=this;return gU(Iv(kv().mark((function n(){return kv().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 gU(Iv(kv().mark((function n(){return kv().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,gU(Iv(kv().mark((function t(){var r;return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return r=YV(Iv(kv().mark((function e(){return kv().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",JV(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,gU(Iv(kv().mark((function t(){return kv().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=xC(t||Vw().toString());return gU(Iv(kv().mark((function t(){var i;return kv().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,gU(Iv(kv().mark((function t(){return kv().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=Iv(kv().mark((function e(){return kv().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=Iv(kv().mark((function e(){return kv().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 gU(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 Cv(r,n),r.prototype.iterator=function(){var t=Iv(kv().mark((function t(){return kv().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}(vU))}function yU(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 ak||Hw(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 ak?pE(e):Gk(e)}(e),recurse:!1}:{value:null,recurse:!0}}vU.MAX_BUFFER_SIZE=1e4;var bU=function(e){function t(t){var n;return(n=e.call(this)||this).input=t,n}return Cv(t,e),t.prototype.iterator=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().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}(vU),xU='"',wU=Symbol("out"),kU=Symbol("field"),NU=Symbol("quote"),IU=Symbol("quoteafterquote"),SU=Symbol("quoteinquote"),TU=function(e){Cv(n,e);var t=n.prototype;function n(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 bU(t),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(Hv(null==n.delimiter,(function(){return"Delimiter should not be provided when delimWhitespace is true."})),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=n.delimiter?n.delimiter:",",r}return t.columnNames=function(){var e=Iv(kv().mark((function e(){return kv().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)}}(),t.setColumnNames=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s=this;return kv().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&&Hv(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}),{}),Hv(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)}}(),t.maybeReadHeaderLine=function(){var e=Iv(kv().mark((function e(){var t,n,r,a;return kv().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)}}(),t.iterator=function(){var e=Iv(kv().mark((function e(){var t,n=this;return kv().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)}}(),t.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":default:u=l;break;case"int32":u=Math.floor(l);break;case"bool":u=this.getBoolean(s)}else u=l}o&&o.isLabel?r[i]=u:n[i]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},t.getBoolean=function(e){return"1"===e||"true"===e.toLowerCase()?1:0},t.parseRow=function(e,t){void 0===t&&(t=!0);for(var n=[],r=0,a=e.length,i=wU,o=0;o<a;o++)switch(i){case wU:switch(e.charAt(o)){case xU:r=o+1,i=NU;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),i=wU;break;default:i=kU,r=o}break;case kU:if(e.charAt(o)===this.delimiter)n.push(e.substring(r,o)),i=wU,r=o+1;break;case NU:if(e.charAt(o)===xU)i=IU;break;case IU:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(r,o-1)),i=wU,r=o+1;break;case xU:i=NU;break;default:i=SU}break;case SU:if(e.charAt(o)===xU)i=NU}if(i===IU?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},n}(vU),CU=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}Cv(t,e);var n=t.prototype;return n.summary=function(){return"microphone"},t.create=function(){var e=Iv(kv().mark((function e(n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),Fg().get("IS_BROWSER")){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=Iv(kv().mark((function e(){var t,n;return kv().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+"; 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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=Iv(kv().mark((function e(){var t;return kv().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=JR(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 eI((function(){var n,r=tT(XN(e,"float32"),0),a=(n=oR.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return PI(n,a.slice(1))}))},n.capture=function(){var e=Iv(kv().mark((function e(){return kv().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 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d=n.data.get(p.dataId).values,f=kj(p.shape,p.dtype,d,c),m=f.outVals,v=f.outShape,g=f.outDtype,y=v;return o&&(y=BS(v,u)),h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,m)}};function Ij(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted in ascending order")}}(n,r);for(var u=1,l=0;l<t.length-1;++l){u*=t[l];for(var c=t[l+1],p=1;p<u+1;++p)s[l].push(p*c)}for(var h=0;h<e.length;++h){for(var d=e[h],f=e[h]+1,m=0;m<n.length;++m){var v=n[m],g=m+t.length-1;if(g>=0)for(var 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u=Ij(i,o,e,r[0]),l=u.outSplits,c=u.valueSlices,p=u.numValues,h=function(e){for(var t=[],n=function(n){var r=ag("int32",e[n].length);t.push(r),e[n].forEach((function(e,t){return r[t]=e}))},r=0;r<e.length;++r)n(r);return t}(l),d=Tj(n,r,a,c,p);return[h,d[0],d[1]]}var Ej=2147483647;function Aj(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,l=0===o.length,c=[];s||c.push(t[0]),u||c.push(a[0]),l||c.push(o[0]);for(var p=1;p<c.length;++p)if(c[p]!==c[p-1])throw new Error("starts, limits, and deltas must have the same shape");var h=0===c.length?1:c[0],d=ag("int32",h+1);d[0]=0;for(var f=0;f<h;++f){var m=s?e[0]:e[f],v=u?r[0]:r[f],g=l?i[0]:i[f];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&v<m||g<0&&v>m)y=0;else if((y=Math.ceil(Math.abs((v-m)/g)))>Ej)throw new Error("Requires 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Rj.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type "+Rj[this.getRowPartitionTypeByDimension(t-1)])}},e.getMaxWidthRowSplit=function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n},e.getMaxWidthValueRowID=function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)},t.tensorShapeFromTensor=function(e,t,n){if(void 0===n&&(n=!0),0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return Oj(e,n)},t.calculateOutputSize=function(e){var t=this.valuesShape;C_(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=I_(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r},t.calculateFirstParentOutputIndex=function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return Hv(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a},t.calculateOutputIndexRowSplit=function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),l=t[o];-1===l&&(u=0);for(var c=0;c<u;++c)i.push(l),l+=n;for(var p=0;p<s-u;++p)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i},t.calculateOutputIndexValueRowID=function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId="+s+", which is not less than "+t.length);var u=t[s];i.push(u);for(var l=1;l<a;++l){var c=e[l];if(c===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=c,c>=t.length)throw new Error("Got nextValueRowId="+c+" which is not less than "+t.length);u=t[c]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i},t.calculateOutputIndex=function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case Rj.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case Rj.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: "+(a.length-1)+" > "+t.length);return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: "+Rj[i])}},t.getFirstDimensionSize=function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case Rj.FIRST_DIM_SIZE:return e[0];case Rj.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Rj.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type "+Rj[t])}},t.compute=function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=Oj(t,!1),i=ag(this.valuesDType,Xv(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]},t.setOutput=function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=Xv(o=o.slice(e+1)),u=t.length,l=this.defaultValue;if(l.length!==s&&1!==l.length){var c=this.defaultValueShape;eI((function(){var e=PI(l,c),t=eS(e,o);l=t.dataSync()}))}for(var p=0,h=0,d=0,f=0;f<=u;++f){var m=f<u?t[f]:-1;if(m!==d){if(h<d){var v=a.subarray(p*s);Fj(i.subarray(h*s),v,(d-h)*s)}if(f>=u){var g=n.length;m=Math.floor(g/s)}if(m>d)if(1===this.defaultValue.length)i.subarray(d*s,m*s).fill(this.defaultValue[0]),d=m;else for(;m>d;){Fj(i.slice(d*s),l,s),++d}m<0?(p=f+1,h=d):(p=f,d=(h=d)+1)}else++d}}},e}();function Fj(e,t,n){for(var r=0;r<n;r++)e[r]=t[r]}function Oj(e,t){for(var n,r=[],a=Lv(e);!(n=a()).done;){var i=n.value;if(i<0){if(!t)throw new Error("Dimension "+i+" must be >= 0");if(i<-1)throw new Error("Dimension "+i+" must be >= -1");i=-1}r.push(i)}return r}function Dj(e,t,n,r,a,i,o,s,u,l){return new _j(e,t,n,r,a,i,o,s,u,l).compute()}function Mj(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return wg(0,r);var a=wg(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 Lj=gG((function(e){return 1/Math.sqrt(e)})),zj=bG(ex,Lj),Pj={kernelName:ex,backendName:"cpu",kernelFunc:zj};function Bj(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 KN(n,t.dtype);var d=u instanceof tk?u:KN(c,t.dtype);"string"==typeof u||"number"==typeof u?d.values.fill(u):"boolean"==typeof u&&d.values.fill(+u);for(var f=0;f<i;f++){for(var m=[],v=0,g=0;g<o;g++){var y=p[f*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?d.values[v*a+b]+=h[f*a+b]:d.values[v*a+b]=0===t.rank?h[0]:h[f*a+b]}return d}var Wj=gG((function(e){return 1/(1+Math.exp(-e))})),Vj=yG(cx,(function(e){return 1/(1+Math.exp(-e))})),Uj={kernelName:cx,backendName:"cpu",kernelFunc:Vj};function Gj(e,t,n,r,a){var i=c_(r,t,n),o=Xv(n),s=vg(r);if(i){var u=p_(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var l=KN(r,a,"string"===a?wF(e):e),c=KN(n,a),p=0;p<c.size;++p){var h=c.indexToLoc(p),d=h.map((function(e,n){return e+t[n]}));c.set.apply(c,[l.get.apply(l,d)].concat(h))}return"string"===a?kF(c.values):c.values}function jj(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;KU(a,"slice");var s=h_(a,i,o),u=s[0],l=s[1];e_(a,u,l);var c=Gj(n.data.get(a.dataId).values,u,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,c)}var Hj={kernelName:ox,backendName:"cpu",kernelFunc:jj};function qj(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(oF(s));return[ag(n,0),[0,p],ag(a,0),l,c]}for(var h=!0,d=0,f=new Array(u).fill(0),m=0;m<s;++m){var v=e[m*p];if(v<0)throw new Error(sF(m,v));if(v>=u)throw new Error(uF(m,v,u));++f[v],h=h&&v>=d,d=v}for(var g=!0,y=0;y<u;++y){var b=0===f[y];l[y]=b,g=g&&!b,f[y]=Math.max(f[y],1),y>0&&(f[y]+=f[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=f[u-1],I=ag(n,N*p),S=ag(a,N),T=new Array(u).fill(0),C=0;C<s;++C){var E=e[C*p],A=T[E],R=(0===E?0:f[E-1])+A;T[E]++;for(var _=0;_<p;++_)I[R*p+_]=e[C*p+_];S[R]=r[C],c[C]=R}for(var F=0;F<u;++F){if(0===T[F]){var O=0===F?0:f[F-1];I[O*p+0]=F;for(var D=1;D<p;++D)I[O*p+D]=0;S[O]=o}}return[I,[N,p],S,l,c]}function Kj(e,t,n,r,a){for(var i=Xv(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(lF(c,p));c=p,u.push(1)}else{if(h<0)throw new Error(cF(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 d=Math.trunc(i/l);if(l*d!==i)throw new Error(hF(r,u));u[c]=d}if(Xv(u)!==i)throw new Error(dF(r,u));var f=r.length,m=[];if(f>0){m[f-1]=1;for(var v=f-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=ag(n,o*s),x=0;x<o;++x){for(var w=0,k=0;k<f;++k)w+=e[x*f+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 Xj(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=ag(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 d=0,f=1,m=0,v=a[d];;){var g=0;if(f<s){if(v===(g=a[f])){++f;continue}if(v>=g)throw new Error("segment ids are not increasing")}if(v<0||v>=c)throw new Error(vF(v,c));v>m&&h.fill(o,m*l,v*l);for(var y=d;y<f;++y){var b=r[y];if(b<0||b>=u[0])throw new Error(gF(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]/=f-d;if(d=f,m=v+1,v=g,++f>s)break}return m<c&&h.fill(o,m*l,c*l),[h,p]}var Yj=gG((function(e){return Math.sqrt(e)})),Jj=yG(hx,(function(e){return Math.sqrt(e)})),Zj={kernelName:hx,backendName:"cpu",kernelFunc:Jj},Qj=QU((function(e,t){var n=e-t;return n*n})),$j=lG(kx,Qj),eH={kernelName:kx,backendName:"cpu",kernelFunc:$j},tH=gG((function(e,t){var n=t.pattern,r=t.replaceGlobal,a=t.rewrite;return e.replace(new RegExp(n,r?"g":""),a)})),nH=bG(Ix,tH),rH={kernelName:Ix,backendName:"cpu",kernelFunc:nH};function aH(e,t,n,r){for(var a=KN(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 iH=function(){function e(e,t,n,r,a,i){this.separator=Gw(e),this.nGramWidths=t,this.leftPad=Gw(n),this.rightPad=Gw(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),d=0;d+=l*o.leftPad.length;for(var f=0;f<p;++f)d+=e[h+f].length;d+=c*o.rightPad.length,d+=(l+c+p-1)*o.separator.length,n[r+s]=new Uint8Array(d);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=ag("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},d=1;d<=u;++d)h(d);for(var f=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,f,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,f,i,1,s)}},v=0;v<u;++v)m(v);return[f,l]},e}();function oH(e,t,n,r,a,i,o,s){return new iH(n,r,a,i,o,s).compute(e,t)}function sH(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 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=r.filterShape;KU([a,i],"depthwiseConv2dNativeBackpropFilter");for(var p=TI(a.shape,c,o,s,u,l,!0),h=p.strideHeight,d=p.strideWidth,f=p.filterHeight,m=p.filterWidth,v=new tk(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 tk(a.shape,a.dtype,x),k=n.data.get(i.dataId).values,N=new tk(i.shape,i.dtype,k),I=0;I<f;++I)for(var S=Math.max(0,Math.ceil((y-I)/h)),T=Math.min(p.outHeight,(p.inHeight+y-I)/h),C=0;C<m;++C)for(var E=Math.max(0,Math.ceil((g-C)/d)),A=Math.min(p.outWidth,(p.inWidth+g-C)/d),R=0;R<p.outChannels;++R){for(var _=Math.trunc(R/b),F=R%b,O=0,D=0;D<p.batchSize;++D)for(var M=S;M<T;++M)for(var L=I+M*h-y,z=E;z<A;++z){var P=C+z*d-g;O+=w.get(D,L,P,_)*N.get(D,M,z,R)}v.set(O,I,C,_,F)}return n.makeTensorInfo(v.shape,v.dtype,v.values)}};var Vq={kernelName:Sy,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;KU([a,i],"depthwiseConv2DNativeBackpropInput");for(var p=vg(a.shape),h=vg(i.shape),d=TI(c,i.shape,o,s,u,l,!0),f=new tk(d.inShape,"float32"),m=f.values,v=f.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],C=h[2],E=d.batchSize,A=d.filterHeight,R=d.filterWidth,_=d.inChannels,F=d.inHeight,O=d.inWidth,D=d.outChannels,M=d.outHeight,L=d.outWidth,z=d.strideHeight,P=d.strideWidth,B=A-1-d.padInfo.top,W=R-1-d.padInfo.left,V=D/_,U=0;U<E;++U)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,(A+H)/z),X=0;X<O;++X){for(var Y=X-W,J=Math.max(0,Math.ceil(Y/P)),Z=Math.min(L,(R+Y)/P),Q=0,$=q;$<K;++$)for(var ee=$*z-H,te=J;te<Z;++te)for(var ne=w*U+k*$+N*te,re=S*(A-1-ee)+T*(R-1-(te*P-Y))+C*G,ae=0;ae<V;++ae){Q+=x[ne+(G*V+ae)]*I[re+ae]}m[g*U+y*j+b*X+G]=Q}return n.makeTensorInfo(f.shape,f.dtype,f.values)}};var Uq={kernelName:Ty,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=Xv(r.shape),i=n.data.get(r.dataId).values,o=KN([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)}},Gq={kernelName:Cy,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,d=i.shape.length,f=NI(a.shape,i.shape,o,s,"NHWC",u),m=f.batchSize,v=f.inHeight,g=f.inWidth,y=f.inChannels,b=f.outHeight,x=f.outWidth,w=f.padInfo,k=f.strideHeight,N=f.strideWidth,I=f.filterHeight,S=f.filterWidth,T=f.dilationHeight,C=f.dilationWidth,E=f.outShape,A=Xv(E),R=E.length,_=ag(a.dtype,A),F=0;F<m;++F)for(var O=0;O<b;++O)for(var D=O*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=D+B*T;if(W>=0&&W<v)for(var V=0;V<S;++V){var U=L+V*C;if(U>=0&&U<g){var G=Ig([F,W,U,z],p,vg(a.shape)),j=Ig([B,V,z],d,vg(i.shape)),H=c[G]+h[j];H>P&&(P=H)}}}_[Ig([F,O,M,z],R,vg(E))]=P}return{dataId:l.write(Ww(_,a.dtype),E,a.dtype),shape:E,dtype:a.dtype}}},jq={kernelName:Ay,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=yg(a.shape,c.data.get(a.dataId).values),h=yg(i.shape,c.data.get(i.dataId).values),d=NI(a.shape,i.shape,s,u,"NHWC",l),f=d.batchSize,m=d.inHeight,v=d.inWidth,g=d.inChannels,y=d.outHeight,b=d.outWidth,x=d.padInfo,w=d.strideHeight,k=d.strideWidth,N=d.filterHeight,I=d.filterWidth,S=d.dilationHeight,T=d.dilationWidth,C=d.outShape;Hv(o.rank===C.length,(function(){return"Error in Dilation2DBackpropFilter, dy must have the same rank as output "+C.length+", but got "+o.rank}));for(var E=yg(C,c.data.get(o.dataId).values),A=kg(i.shape,i.dtype),R=0;R<f;++R)for(var _=0;_<y;++_)for(var F=_*w-x.top,O=0;O<b;++O)for(var D=O*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 V=0;V<I;++V){var U=D+V*T;if(U>=0&&U<v){var G=p[R][W][U][M]+h[B][V][M];G>L&&(L=G,z=B,P=V)}}}A[z][P][M]+=E[R][_][O][M]}return{dataId:c.write(Ww(A,a.dtype),i.shape,i.dtype),shape:i.shape,dtype:i.dtype}}},Hq={kernelName:Ey,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=yg(a.shape,c.data.get(a.dataId).values),h=yg(i.shape,c.data.get(i.dataId).values),d=NI(a.shape,i.shape,s,u,"NHWC",l),f=d.batchSize,m=d.inHeight,v=d.inWidth,g=d.inChannels,y=d.outHeight,b=d.outWidth,x=d.padInfo,w=d.strideHeight,k=d.strideWidth,N=d.filterHeight,I=d.filterWidth,S=d.dilationHeight,T=d.dilationWidth,C=d.outShape;Hv(o.rank===C.length,(function(){return"Error in Dilation2DBackpropInput, dy must have the same rank as output "+C.length+", but got "+o.rank}));for(var E=yg(C,c.data.get(o.dataId).values),A=kg(a.shape,a.dtype),R=0;R<f;++R)for(var _=0;_<y;++_)for(var F=_*w-x.top,O=0;O<b;++O)for(var D=O*k-x.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=F<0?0:F,P=D<0?0:D,B=0;B<N;++B){var W=F+B*S;if(W>=0&&W<m)for(var V=0;V<I;++V){var U=D+V*T;if(U>=0&&U<v){var G=p[R][W][U][M]+h[B][V][M];G>L&&(L=G,z=W,P=U)}}}A[R][z][P][M]+=E[R][_][O][M]}return{dataId:c.write(Ww(A,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};function qq(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims;KU(i,"sum");var u=(t="bool"===i.dtype?sG({inputs:{x:i},backend:r,attrs:{dtype:"int32"}}):nG({inputs:{x:i},backend:r})).shape.length,l=tg(o,t.shape),c=VS(l,u),p=l,h=t;null!=c&&(h=xj({inputs:{x:t},backend:r,attrs:{perm:c}}),p=GS(p.length,u)),WS("sum",p,h.shape.length);for(var 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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,d=r.activation,f=r.leakyreluAlpha,m=Pq({inputs:{x:a,filter:i},backend:n,attrs:{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:h}});if(o){var v=m;m=dG({inputs:{a:m,b:o},backend:n}),n.disposeIntermediateTensorInfo(v)}if(d){var g=m;m=FH(n,m,d,s,f),n.disposeIntermediateTensorInfo(g)}return m}};var hK={kernelName:qy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=Xv(r.shape),o=a.shape,s=o[o.length-1],u=QR(r,a),l=u[0],c=u[1],p=u[2],h=u[3];if(0===c)return n.makeTensorInfo(l,r.dtype,[]);var d=BG(n.data.get(a.dataId).values,n.bufferSync(r),r.dtype,c,s,p,h,r.shape,i);return n.makeTensorInfo(l,r.dtype,d.values)}};var dK={kernelName:Hy,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;KU([a,i],"gatherV2");for(var 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FK={kernelName:pb,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;KU(a,"LRN");var l=a.shape[3],c=l-1,p=n.data.get(a.dataId).values,h=Xv(a.shape),d=new Float32Array(h);function f(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=f(m),g=p[m]*Math.pow(o+s*v,-u);d[m]=g}return n.makeTensorInfo(a.shape,a.dtype,d)}};var OK={kernelName:hb,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;KU(o,"LRNGrad");for(var p=Xv(o.shape),h=o.shape[3],d=n.data.get(o.dataId).values,f=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(f[N],2);k=l*k+u;for(var I=x;I<w;I++){var 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u=s?a:KK({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],d=wg(Xv(h),"int32"),f=0;f<l;++f){var m=f*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=xC(o.toString()),b=f*i,x=0;x<i;++x){var w=y();d[b+x]=v.length;for(var k=0;k<v.length;k++)if(w<v[k]){d[b+x]=k;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(h,"int32",d)}},JK=gA;var ZK={kernelName:Ab,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;KU(a,"NonMaxSuppression");var l=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,p=JK(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},QK=yA;var $K={kernelName:Rb,backendName:"cpu",kernelFunc:function(e){var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;KU(a,"oneHot");var l=Xv(a.shape),c=new Float32Array(l*o);c.fill(u);for(var p=n.data.get(a.dataId).values,h=0;h<l;++h)p[h]>=0&&p[h]<o&&(c[h*o+p[h]]=s);return n.makeTensorInfo([].concat(a.shape,[o]),i,c)}};function rX(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=aG({inputs:{input:r},backend:n}),i=rX({inputs:{x:a},backend:n}),o=yq({inputs:{input:r},backend:n}),s=rX({inputs:{x:o},backend:n}),u=$U({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return sK({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var aX={kernelName:Bx,backendName:"cpu",kernelFunc:rX};var iX={kernelName:Fb,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=aG({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=yq({inputs:{input:a},backend:r}),u=rX({inputs:{x:s},backend:r}),l=$U({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return sK({backend:r,attrs:{shape:a.shape,value:1,dtype:a.dtype}})}};function oX(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return Qq({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){qv(a,e.shape,"All tensors passed to stack must have matching shapes"),Hv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=xq({inputs:t.map((function(e){var t=Qq({inputs:{input:e},backend:n,attrs:{dim:r}});return 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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 NJ(e,t,n){void 0===n&&(n="index");var r=vg(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 IJ(e,t,n){void 0===n&&(n="index");var r=vg(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 SJ(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]+"; 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pJ(wJ.getNumber("WEBGL_VERSION"))})),wJ.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",(function(){var e=wJ.getNumber("WEBGL_VERSION");return 0===e?0:hJ(e)})),wJ.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",(function(){return wJ.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Rk()})),wJ.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",(function(){return mJ(wJ.getNumber("WEBGL_VERSION"))})),wJ.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",(function(){return!wJ.getBool("WEBGL_FORCE_F16_TEXTURES")&&wJ.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")})),wJ.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",(function(){return vJ(wJ.getNumber("WEBGL_VERSION"))})),wJ.registerFlag("WEBGL_FENCE_API_ENABLED",(function(){return yJ(wJ.getNumber("WEBGL_VERSION"))})),wJ.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",(function(){return wJ.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0})),wJ.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+".")})),wJ.registerFlag("WEBGL_FLUSH_THRESHOLD",(function(){return Rk()?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+".")})),wJ.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 128})),wJ.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",(function(){return!1})),wJ.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 1e5})),wJ.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",(function(){return 128})),wJ.registerFlag("WEBGL_EXP_CONV",(function(){return!1})),wJ.registerFlag("SOFTWARE_WEBGL_ENABLED",(function(){return wJ.getBool("IS_TEST")})),wJ.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",(function(){return 1/0})),wJ.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",(function(){return!1})),wJ.registerFlag("WEBGL2_ISNAN_CUSTOM",(function(){return!1})),wJ.registerFlag("ENGINE_COMPILE_ONLY",(function(){return!1}));var CJ="\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] += 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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?_J(e,r):RJ(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=EJ(e.shapeInfo.logicalShape,t.logicalShape),l=PJ(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 d="return outputValue;",f=1===Xv(e.shapeInfo.logicalShape),m=1===Xv(t.logicalShape);if(1!==o||f||m){if(f&&!m)d=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?d="return vec4(outputValue.x);":u.indexOf(v)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\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 "+d+"\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&&Yv(o,i))return"\n float "+a+"() {\n return sampleTexture("+n+", resultUV);\n }\n ";var l,c=PJ(u),p=EJ(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,d=["x","y","z","w","u","v"];l=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+d[e+h]+" = 0;"})).join("\n");var f="";f=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+d[t+h]})).join(", ");return"\n float "+a+"() {\n "+c+" coords = getOutputCoords();\n "+l+"\n return get"+r+"("+f+");\n }\n "}(e,t));return a}(e,t,n.packedInputs,n.enableShapeUniforms)})).join("\n"),u=t.texShape,l=kJ(),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 "+FJ+"\n "+OJ+"\n "+DJ+"\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 * 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":"\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(Yv(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 "+IJ(["r","c","d"],e)+"\n return ivec3(r, c, d);\n }\n"}var r=NJ(["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 "+IJ(["r","c","d","d2"],e)+"\n return ivec4(r, c, d, d2);\n }\n "}var r=NJ(["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=NJ(["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=NJ(["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+=MJ),[p,c,i,o,a,s,n.userCode].join("\n")}function RJ(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=LJ(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 "+zJ(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=LJ(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&&Yv(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=ng(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col"];return"\n "+RJ(WJ(e,c),t)+"\n float "+a+"(int row, int col) {\n return "+a+"("+VJ(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 "+zJ(e)+"\n }\n ";var h=i[0],d=i[1],f=LJ(r);if(1===d)return t?"\n float "+a+"(int row, int col) {\n float index = dot(vec3(row, col, "+f+"), 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, "+f+"), 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, "+f+"), 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, "+f+"), vec3("+n[1]+", 1, 1));\n vec2 uv = vec2((index + 0.5) / "+d+".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 + "+f+";\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 + "+f+";\n vec2 uv = uvFromFlat("+h+", "+d+", 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=ng(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col","depth"];return"\n "+RJ(WJ(e,c),t)+"\n float "+a+"(int row, int col, int depth) {\n return "+a+"("+VJ(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 "+zJ(e)+"\n }\n ";var h=e.shapeInfo.texShape,d=h[0],f=h[1],m=e.shapeInfo.flatOffset;if(f===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("+f+".0, "+d+".0);\n return sampleTexture("+r+", uv);\n }\n ";if(f===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("+f+".0, "+d+".0);\n return sampleTexture("+r+", uv);\n }\n ";var v=LJ(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 * stride0 + col * stride1 + 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("+d+", "+f+", 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=ng(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=["row","col","depth","depth2"];return"\n "+RJ(WJ(e,l),t)+"\n float "+a+"(int row, int col, int depth, int depth2) {\n return "+a+"("+VJ(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 "+zJ(e)+"\n }\n ";var h=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,f=d[0],m=d[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, "+f+".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, "+f+".0);\n return sampleTexture("+r+", uv);\n }\n ";var b=LJ(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("+f+", "+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=ng(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=["row","col","depth","depth2","depth3"];return"\n "+RJ(WJ(e,l))+"\n float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n return "+r+"("+VJ(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 "+zJ(e)+"\n }\n ";var h=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,f=d[0],m=d[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, "+f+".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, "+f+".0);\n return sampleTexture("+n+", uv);\n }\n ";var v=LJ(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("+f+", "+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=ng(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=["row","col","depth","depth2","depth3","depth4"];return"\n "+RJ(WJ(e,i))+"\n float "+r+"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n return "+r+"("+VJ(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 "+zJ(e)+"\n }\n ";var d=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,m=f[0],v=f[1];if(v===h&&null==d)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==d)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=LJ(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 _J(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=kJ(),"\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=kJ();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=kJ();if(null!=i&&Yv(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 "+_J(WJ(e,n.slice(1)),t)+"\n vec4 "+a+"(int b, int row, int col) {\n return "+a+"("+VJ(u,s)+");\n }\n "}var l=kJ();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),d=h*Math.ceil(n[1]/2);return"\n vec4 "+a+"(int b, int row, int col) {\n vec2 uv = packedUVfrom3D(\n "+c+", "+p+", "+d+", "+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=kJ();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),d="int b, int row, int col",f="b * "+h+" + (row / 2) * "+p+" + (col / 2)",m=2;m<o-1;m++)d="int b"+m+", "+d,f="b"+m+" * "+(h*=i[o-m-1])+" + "+f;return"\n vec4 "+r+"("+d+") {\n int index = "+f+";\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 FJ="\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",OJ="\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",DJ="\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",MJ="\n float getChannel(vec4 frag, vec2 innerDims) {\n vec2 modCoord = mod(innerDims, 2.);\n return 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Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Yv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}function jJ(e){return Fg().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var HJ=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=yY.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=kJ();this.outputShape=e,this.enableShapeUniforms=jJ(this.outputShape.length),this.userCode="\n ivec3 outCoordsFromFlatIndex(int index) {\n "+(this.enableShapeUniforms?IJ(["r","c","d"],e):NJ(["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 "},qJ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=yY.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=kJ();this.outputShape=e,this.enableShapeUniforms=jJ(this.outputShape.length),this.userCode="\n ivec3 outCoordsFromFlatIndex(int index) {\n "+(this.enableShapeUniforms?IJ(["r","c","d"],e):NJ(["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 "},KJ=function(e){this.variableNames=["A"],this.outTexUsage=bY.DOWNLOAD;var t=kJ();this.outputShape=e,this.userCode="\n "+CJ+"\n\n void main() {\n float x = getAAtOutCoords();\n "+t.output+" = encode_float(x);\n }\n "},XJ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=bY.DOWNLOAD;var t=kJ();this.outputShape=e,this.userCode="\n "+CJ+"\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 "},YJ={R:0,G:1,B:2,A:3},JJ=function(e,t,n){void 0===t&&(t=!1),void 0===n&&(n="RGBA"),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=kJ();this.outputShape=e,this.enableShapeUniforms=jJ(this.outputShape.length);var a="result";t&&(a="floor(result * 255. + 0.5)");for(var i="",o=0;o<n.length;o++){var s=n[o];i+="\n if(offset == "+o+") {\n result = values["+YJ[s]+"];\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":TJ(e))+"\n\n void main() {\n ivec3 coords = getOutputCoords();\n int flatIndex = getFlatIndex(coords);\n float result = 0.;\n int offset = imod(flatIndex, "+n.length+");\n\n flatIndex = idiv(flatIndex, "+n.length+", 1.);\n\n int r = flatIndex / texShape[1];\n if (r < texShape[0]) {\n int c = imod(flatIndex, texShape[1]);\n vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n vec4 values = "+r.texture2D+"(A, uv);\n "+i+"\n }\n "+r.output+" = vec4("+a+", 0., 0., 0.);\n }\n "},ZJ=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=kJ();this.outputShape=e,this.enableShapeUniforms=jJ(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+" < 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QJ(e){var t=kJ();return OY(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 $J(e){return UY(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function eZ(e){return GY(e,new Uint16Array([0,1,2,2,1,3]))}function tZ(e,t,n,r,a,i){HY(t,n);var o=jY(e),s=e.TEXTURE_2D;return AY(e,(function(){return e.bindTexture(s,o)})),AY(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),AY(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),AY(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),AY(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===Fg().getNumber("WEBGL_VERSION")?AY(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):AY(e,(function(){return e.texStorage2D(s,1,r,t,n)})),AY(e,(function(){return 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t=Fg().getNumber("WEBGL_VERSION");if(null!=e?(this.gl=e,NY(t,e)):this.gl=IY(t),e=this.gl,2===Fg().getNumber("WEBGL_VERSION")){var n=e;this.createVertexArray=function(){return AY(n,(function(){return n.createVertexArray()}))},this.bindVertexArray=function(e){return AY(n,(function(){return n.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return AY(n,(function(){return n.deleteVertexArray(e)}))},this.getVertexArray=function(){return AY(n,(function(){return n.getParameter(n.VERTEX_ARRAY_BINDING)}))}}else if(null!=e){var r=e.getExtension("OES_vertex_array_object");if(null==r)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return AY(e,(function(){return r.createVertexArrayOES()}))},this.bindVertexArray=function(t){return AY(e,(function(){return r.bindVertexArrayOES(t)}))},this.deleteVertexArray=function(t){return AY(e,(function(){return r.deleteVertexArrayOES(t)}))},this.getVertexArray=function(){return 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if(a="EXT_color_buffer_float",dJ(this.gl,a))this.colorBufferFloatExtension=this.gl.getExtension(a);else{if(!dJ(this.gl,i))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(i)}this.vertexBuffer=$J(this.gl),this.indexBuffer=eZ(this.gl),this.framebuffer=qY(this.gl),this.textureConfig=EY(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. 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this.throwIfDisposed(),sZ(this.gl,e,t,this.textureConfig)},t.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),fZ(this.gl,e,t)},t.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),dZ(this.gl,e,t,n,r,this.textureConfig)},t.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),pZ(this.gl,e,t,this.textureConfig)},t.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),lZ(this.gl,e,t,this.textureConfig)},t.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&($Y(this.gl,this.framebuffer),this.outputTexture=null),AY(this.gl,(function(){return t.gl.deleteTexture(e)}))},t.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return gZ(r.gl,t,n,r.textureConfig)}))},t.downloadPackedMatrixFromBuffer=function(e,t,n,r,a,i){return yZ(this.gl,e,0,0,0,a,i,this.textureConfig)},t.downloadFloat32MatrixFromBuffer=function(e,t){return vZ(this.gl,e,t)},t.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=mZ(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(Fg().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 Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,Fg().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 bZ(r.gl,t,n)}))},t.createProgram=function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=QJ(n));var r,a=BY(n);return AY(n,(function(){return n.attachShader(a,t.vertexShader)})),AY(n,(function(){return n.attachShader(a,e)})),WY(n,a),r=Object.assign(a,{vao:this.createVertexArray()}),this.bindVertexArray(r.vao),AY(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),console.assert(hZ(n,r,this.vertexBuffer),"gpgpu_util.bindVertexProgramAttributeStreams not fully successful."),this.debug&&VY(n,r),this.setProgram(r),r},t.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(AY(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))},t.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&(this.bindVertexArray(this.program.vao),this.debug&&VY(this.gl,this.program)),AY(this.gl,(function(){return t.gl.useProgram(e)}))},t.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?YY(this.gl,e,t):JY(this.gl,e,t)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),AY(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(),ZY(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=CY(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&&VY(this.gl,this.program),eJ(this.gl)},t.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}AY(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},t.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),AY(this.gl,(function(){return e.gl.finish()}))},t.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=FY(this.gl,2===Fg().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===Fg().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!==Fg().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=Iv(kv().mark((function e(t){var n=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,$v((function(){return n.disposed||n.isQueryAvailable(t,Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Fg().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;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in Fg().platform&&(r=Fg().platform.setTimeoutCustom.bind(Fg().platform)),$v((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),QY(this.gl,e,this.framebuffer),this.debug&&eJ(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(QY(this.gl,this.outputTexture,this.framebuffer),this.debug&&eJ(this.gl)):$Y(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;QY(r,e,this.framebuffer),this.debug&&eJ(r),this.outputTexture=e,AY(r,(function(){return r.viewport(0,0,t,n)})),AY(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),AY(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.")},Tv(e,[{key:"debug",get:function(){return Fg().getBool("DEBUG")}}]),e}();var kZ=pG,NZ=mG,IZ=vG,SZ=oG,TZ=xG,CZ=NG,EZ=IG,AZ=CG,RZ=RG,_Z=OG,FZ=BG,OZ=WG,DZ=VG,MZ=jG,LZ=KG,zZ=JG,PZ=$G,BZ=ej,WZ=rj,VZ=aj,UZ=sj,GZ=cj,jZ=fj,HZ=vj,qZ=kj,KZ=Cj,XZ=Aj,YZ=Dj,JZ=Mj,ZZ=Lj,QZ=Bj,$Z=Wj,eQ=JU,tQ=Gj,nQ=qj,rQ=Kj,aQ=Xj,iQ=Yj,oQ=tH,sQ=aH,uQ=oH,lQ=uH,cQ=lH,pQ=cH,hQ=fH,dQ=gH,fQ=bj,mQ=yH;function vQ(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function gQ(e,t){return 1===t?[e]:vQ(e,t)}var yQ=function(){function e(e){if(this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.enableShapeUniforms=jJ(this.outputShape.length),0===this.rank)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{var t=gQ("rc",this.rank),n=PJ(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}(),bQ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=jJ(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?SJ(["r","c","d"],"inputShape"):NJ(["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":TJ(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 xQ=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=kQ(t,n),a=NQ(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=wQ(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===xY.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===xY.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===xY.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===xY.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===xY.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=kQ(n,r),i=NQ(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=wQ(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=Fg().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&&u.indexOf(e);if(null==l||l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[l]=u[u.length-1],u.pop(),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}},Tv(e,[{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}}]),e}();function wQ(e,t,n,r,a){var i,o=function(e,t){switch(e){case xY.PACKED_2X2_FLOAT32:return uZ(t);case xY.PACKED_2X2_FLOAT16:return cZ(t);case xY.UNPACKED_FLOAT32:return nZ(t);case xY.UNPACKED_FLOAT16:return aZ(t);case xY.PACKED_4X1_UNSIGNED_BYTE:return oZ(t);default:throw new Error("Unknown physical texture type "+e)}}(t,r);if(a){var s=CY(e[0],e[1]);i=s[0]*s[1]}else{var u=SY(e[0],e[1]);i=u[0]*u[1]}var l=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);return i*l}function kQ(e,t){if(e===bY.UPLOAD)return xY.PACKED_2X2_FLOAT32;if(e===bY.RENDER||null==e)return function(e){return Fg().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?xY.PACKED_2X2_FLOAT32:xY.UNPACKED_FLOAT32:e?xY.PACKED_2X2_FLOAT16:xY.UNPACKED_FLOAT16}(t);if(e===bY.DOWNLOAD||e===bY.PIXELS)return xY.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function NQ(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var IQ=function(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=jJ(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 "},SQ="if (isnan(x)) return x;",TQ="return abs(x);";var CQ="return x;",EQ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=jJ(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 "},AQ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=jJ(this.outputShape.length);var t=e.length,n=gQ("rc",t),r=PJ(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 "},RQ=OE,_Q={};var FQ=Fg().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var OQ=function(e){Cv(n,e);var t=n.prototype;function n(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,!Fg().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=t){if(t instanceof wZ)r=t;else{var i=IY(Fg().getNumber("WEBGL_VERSION"),t);r=new wZ(i)}n.binaryCache={},n.gpgpuCreatedLocally=!1}else{var o=IY(Fg().getNumber("WEBGL_VERSION"));r=new wZ(o),n.binaryCache=((a=Fg().getNumber("WEBGL_VERSION"))in _Q||(_Q[a]={}),_Q[a]),n.gpgpuCreatedLocally=!0}return n.gpgpu=r,n.canvas=n.gpgpu.gl.canvas,n.textureManager=new xQ(n.gpgpu),n.numMBBeforeWarning=null==Fg().global.screen?1024:Fg().global.screen.height*Fg().global.screen.width*window.devicePixelRatio*600/1024/1024,n.texData=new zv(Ov(n),QN()),n}return t.nextDataId=function(){return n.nextDataId++},t.numDataIds=function(){return this.texData.numDataIds()-this.pendingDeletes},t.writeTexture=function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=oJ(t),l=new JJ(u,!1,i),c=this.runWebGLProgram(l,[o],n,[[r,a]]);return c.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),c.dataId},t.write=function(e,t,n){if((Fg().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Fg().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:bY.UPLOAD,refCount:1}),r},t.refCount=function(e){return this.texData.has(e)?this.texData.get(e).refCount:0},t.incRef=function(e){this.texData.get(e).refCount++},t.decRef=function(e){this.texData.has(e)&&this.texData.get(e).refCount--},t.move=function(e,t,n,r,a){if(Fg().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:bY.UPLOAD,refCount:a})},t.disposeIntermediateTensorInfo=function(e){this.disposeData(e.dataId)},t.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 EQ(o,CQ):new IQ(o,CQ);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,d=null!=this.activeTimers;(d&&(p=Vw()),"complex64"===r)?h=G_(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):h=this.getValuesFromTexture(e);return d&&(this.downloadWaitMs+=Vw()-p),this.convertAndCacheOnCPU(e,h)},t.read=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l,c,p,h,d,f,m,v,g,y,b,x,w,k,N,I;return kv().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 EQ(i,CQ):new IQ(i,CQ),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(!Fg().getBool("DEBUG")){e.next=16;break}if(Fg().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==Fg().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==s&&Fg().get("WEBGL_BUFFER_SUPPORTED")&&(f=this.decode(t),v=this.texData.get(f.dataId),d=(m=this.gpgpu).createBufferFromTexture.apply(m,[v.texture.texture].concat(TY(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=G_(b,x),e.next=32;break;case 31:null==d?g=this.getValuesFromTexture(t):(w=Xv(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=f&&this.disposeIntermediateTensorInfo(f),null!=d&&AY(k=this.gpgpu.gl,(function(){return k.deleteBuffer(d)})),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)&&QN().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)}}(),t.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 EQ(a,CQ):new IQ(a,CQ);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),d=QN().makeTensorFromTensorInfo(h),f=this.texData.get(h.dataId);return Object.assign({tensorRef:d},f.texture)},t.bufferSync=function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return jw(e)}));return KN(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return KN(e.shape,e.dtype,t)},t.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!RY(n)){if(Fg().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.")}}},t.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Xv(n);if(Fg().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(TY(n))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),l}var c=Fg().getBool("WEBGL_PACK")&&!0===a,p=c?oJ(n):n,h=c?new XJ(p):new KJ(p),d=this.runWebGLProgram(h,[{shape:p,dtype:r,dataId:e}],"float32"),f=this.texData.get(d.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture.texture,f.texShape[0],f.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(d),m},t.timerAvailable=function(){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0},t.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=qw(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=qw(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 Iv(kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Fg().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=jv(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)})))()},t.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},t.startTimer=function(){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Vw(),endMs:null}},t.endTimer=function(e){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=Vw(),e)},t.getQueryTime=function(){var e=Iv(kv().mark((function e(t){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Fg().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)}}(),t.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},t.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},t.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture},t.getDataInfo=function(e){return this.texData.get(e)},t.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=FQ),Fg().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&Xv(e.shape)<t}))},t.getGPGPUContext=function(){return this.gpgpu},t.where=function(e){qx("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return RQ(e.shape,t)},t.packedUnaryOp=function(e,t,n){var r=new EQ(e.shape,t),a=this.compileAndRun(r,[e],n);return QN().makeTensorFromTensorInfo(a)},t.abs=function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=eQ(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,TQ,e.dtype);var n=new IQ(e.shape,TQ),r=this.compileAndRun(n,[e]);return QN().makeTensorFromTensorInfo(r)},t.makeTensorInfo=function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&cg(n[0])){var a=n.map((function(e){return Gw(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}},t.makeOutput=function(e,t,n){return QN().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)},t.unpackTensor=function(e){var t=new AQ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},t.packTensor=function(e){var t=new yQ(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},t.packedReshape=function(e,t){var n=[aJ(e.shape)].concat(iJ(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[aJ(t)].concat(iJ(t)),i=new bQ(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}},t.decode=function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Hv(Xv(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=oJ(a);o=r?new qJ(s):new HJ(s);var u=[null!=t?t:TY(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}},t.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===yY.DENSE){var l=null!=i?i:TY(e.outputShape);u.texShape=l.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Xv(s.shape))return u.values=rg(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&&Xv(t.shape)<=Fg().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&&!lJ(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,d={shape:s.shape,texData:u,isUniform:!1},f=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=BJ(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,l=o.keptDims,c="",p="",h="";if(1===u.length&&e.packedInputs){var d=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];c=(d[0]>1)+"_"+(d[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var f=vg(u);h=(f[0]===i[1])+"_"+(f[f.length-1]===i[1])}}else p=(u[0]>1)+"_"+(u[1]>1);var m=t.shape.length,v=2===u.length&&Yv(t.shape,i),g=1===Xv(t.shape),y=IS(t.shape,n.shape),b=!e.packedInputs&&m===n.shape.length&&Yv(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+Fg().getNumber("WEBGL_VERSION")}(e,p,d),m=this.getAndSaveBinary(f,(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=AJ(a,o,t),u=DY(e.gl,s),l=e.createProgram(u);return Fg().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:s,webGLProgram:l,inShapeInfos:i,outShapeInfo:o,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:s,webGLProgram:l,inShapeInfos:i,outShapeInfo:o},UJ(e,t,l))}(o.gpgpu,e,p,d)})),v=null!=this.activeTimers;v&&(h=this.startTimer()),Fg().get("ENGINE_COMPILE_ONLY")||function(e,t,n,r,a){t.program.enableShapeUniforms||(GJ(t.inShapeInfos,n),GJ([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===Fg().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN);for(var s=0;s<n.length;++s){var u=n[s],l=t.variablesLocations[s],c=l.uniform,p=l.offset,h=l.shape,d=l.texShape;if(h){var f=BJ(t.program.packedInputs,u.shape,u.texData.texShape).uniformShape;switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f))}}if(d&&e.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),null!=c)if(u.isUniform)if(Xv(u.shape)<2)e.gl.uniform1f(c,u.uniformValues[0]);else{var m=u.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),e.gl.uniform1fv(c,m)}else null!=u.texData.slice&&null!=p&&e.gl.uniform1i(p,u.texData.slice.flatOffset),e.setInputMatrixTexture(u.texData.texture.texture,c,s)}var v=t.outShapeLocation;if(v)switch(r.shape.length){case 1:e.gl.uniform1iv(v,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(v,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(v,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(v,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var g=vg(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(g));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(g));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(g))}}if(t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a)for(var y=0;y<t.program.customUniforms.length;++y){var b=t.program.customUniforms[y],x=t.customUniformLocations[y],w=a[y];if("float"===b.type)e.gl.uniform1fv(x,w);else if("vec2"===b.type)e.gl.uniform2fv(x,w);else if("vec3"===b.type)e.gl.uniform3fv(x,w);else if("vec4"===b.type)e.gl.uniform4fv(x,w);else if("int"===b.type)e.gl.uniform1iv(x,w);else if("ivec2"===b.type)e.gl.uniform2iv(x,w);else if("ivec3"===b.type)e.gl.uniform3iv(x,w);else{if("ivec4"!==b.type)throw Error("uniform type "+b.type+" is not supported yet.");e.gl.uniform4iv(x,w)}}e.executeProgram()}(this.gpgpu,m,p,d,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=Fg().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=Vw();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!Fg().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===a){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s},t.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)},t.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},t.getTextureManager=function(){return this.textureManager},t.dispose=function(){var e=this;if(!this.disposed){if(!Fg().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}},t.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=eI((function(){if(!Fg().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Fg().getBool("DEBUG");Fg().set("DEBUG",!1);var n=e.abs(KS(1e-8)).dataSync()[0];if(Fg().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},t.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},t.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=Vw());var c=t.texShape;if(null==c&&(c=sJ(n,s),t.texShape=c),null!=a){var p,h=oJ(n),d=c[1],f=c[0],m=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!m){var v=CY(c[0],c[1]);d=v[0],f=v[1]}p=s?new ZJ(h,m):new JJ(h,m);var g=m?[f,d]:c,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=m?bY.PIXELS:bY.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),d,f,a);var x=[[f,d]],w=this.runWebGLProgram(p,[y],r,x,!0),k=this.texData.get(w.dataId);t.texShape=k.texShape,t.isPacked=k.isPacked,t.usage=k.usage,Fg().get("ENGINE_COMPILE_ONLY")?this.disposeData(w.dataId):(t.texture=k.texture,t.values=null,this.texData.delete(w.dataId)),this.disposeIntermediateTensorInfo(y),l&&(this.uploadWaitMs+=Vw()-u)}else{var N=this.acquireTexture(c,o,r,s);t.texture=N}}},t.convertAndCacheOnCPU=function(e,t){var n=this.texData.get(e),r=n.dtype;return null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new 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},t.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)},t.computeBytes=function(e,t){return e[0]*e[1]*ug(t)},t.checkCompileCompletion=function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=t[e][1];this.checkCompletion_(n)}},t.checkCompileCompletionAsync=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s,u,l=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=[],!this.gpgpu.parallelCompilationExtension){e.next=6;break}for(n=0,r=Object.entries(this.binaryCache);n<r.length;n++)a=r[n],i=a[1],t.push(this.checkCompletionAsync_(i));return e.abrupt("return",Promise.all(t));case 6:for(o=function(){var e=u[s][1],n=new Promise((function(t){try{l.checkCompletion_(e),t(!0)}catch(e){throw e}}));t.push(n)},s=0,u=Object.entries(this.binaryCache);s<u.length;s++)o();return e.abrupt("return",Promise.all(t));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.checkCompletionAsync_=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)){e.next=4;break}return e.abrupt("return",this.checkCompletion_(t));case 4:return e.next=6,w_();case 6:return e.abrupt("return",this.checkCompletionAsync_(t));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.checkCompletion_=function(e){if(!1===this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)){if(console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),!1===this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS))throw PY(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.");throw new Error("Failed to link vertex and fragment shaders.")}return!0},t.getUniformLocations=function(){for(var e=0,t=Object.values(this.binaryCache);e<t.length;e++){var n=t[e],r=UJ(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,l=r.outShapeStridesLocation,c=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=l,n.outTexShapeLocation=c}},t.createTensorFromGPUData=function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=QN().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");var u=s.writeTexture(r,t,n,a,i,o);return QN().makeTensorFromDataId(u,t,n,s)},n}(Pv);OQ.nextDataId=0;var DQ="4.3.0";function MQ(){Fg().set("WEBGL_FORCE_F16_TEXTURES",!0)}_k()&&aI("webgl",(function(){return new OQ}),2);var LQ={forceHalfFloat:MQ},zQ=function(e,t,n){this.variableNames=["A","B"],this.outputShape=TS(t,n),this.enableShapeUniforms=jJ(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 "},PQ=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=TS(t,n);var a=this.outputShape.length;this.enableShapeUniforms=jJ(a);var i="";if(r)if(0===a||1===Xv(this.outputShape))i="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else if(i="\n "+PJ(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=gQ("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 BQ(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 WQ={kernelName:Yy,backendName:"webgl",kernelFunc:BQ};function VQ(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=BQ({inputs:{x:r},backend:n}),u=BQ({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var UQ={kernelName:sy,backendName:"webgl",kernelFunc:VQ},GQ="return (a < 0.) ? b * a : a;",jQ="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var HQ={kernelName:tb,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",Bw(i,"float32")),s=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new PQ(jQ,a.shape,o.shape):new zQ(GQ,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},qQ="return (a < 0.) ? b * a : a;",KQ="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var XQ={kernelName:zb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new PQ(KQ,r.shape,a.shape):new zQ(qQ,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function YQ(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=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new EQ(u.shape,n):new IQ(u.shape,t),l.runWebGLProgram(i,[u],c)}}function JQ(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),d=p.texData.get(c.dataId),f=[[h.complexTensorInfos.real,d.complexTensorInfos.real],[h.complexTensorInfos.imag,d.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 zQ(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],dk(n.dtype,r.dtype))})),m=f[0],v=f[1],g=VQ({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||dk(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?wF(x):x,N="string"===l.dtype?wF(w):w,I=s(l.shape,c.shape,k,N,b),S=I[0],T=I[1],C=p.makeTensorInfo(T,b);return p.texData.get(C.dataId).values=S,C}return y=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new PQ(n,l.shape,c.shape,a):new zQ(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}function ZQ(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?KQ:qQ;if("leakyrelu"===e)return t?jQ:GQ;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 QQ=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=jJ(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",d=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=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="imod(rc.x, "+e[0]+")":t[0]<e[0]&&(b="imod(rc.x, "+t[0]+")"),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 int batchA = "+y+";\n int batchB = "+b+";\n for (int i = 0; i < "+c+"; i++) {\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 += ("+d[0]+" * "+f[0]+");\n result += ("+d[1]+" * "+f[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 "},$Q="return areal * breal - aimag * bimag;",e$="return areal * bimag + aimag * breal;",t$=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=TS(t,n),this.userCode="\n float binaryOpComplex(\n float areal, float aimag, float breal, float bimag) {\n "+e+"\n }\n\n void main() {\n float areal = getARealAtOutCoords();\n float aimag = getAImagAtOutCoords();\n float breal = getBRealAtOutCoords();\n float bimag = getBImagAtOutCoords();\n setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n }\n "},n$="return a * b;";function r$(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=dk(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),l=new t$($Q,a.shape,i.shape),c=new t$(e$,a.shape,i.shape),p=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],h=r.runWebGLProgram(l,p,"float32"),d=r.runWebGLProgram(c,p,"float32"),f=VQ({inputs:{real:h,imag:d},backend:r});return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(d),f}if(r.shouldExecuteOnCPU([a,i])){var m=r.texData.get(a.dataId),v=r.texData.get(i.dataId),g=GZ(a.shape,i.shape,m.values,v.values,o),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new PQ(n$,a.shape,i.shape):new zQ(n$,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var a$={kernelName:Tb,backendName:"webgl",kernelFunc:r$};function i$(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=Xv(a.shape),u=eg(i,s),l=Xv(u);Hv(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||lJ(a.shape,u)||null!==c.texture&&lJ(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[aJ(e.shape)].concat(iJ(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[aJ(t)].concat(iJ(t)),o=new bQ(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 o$={kernelName:qb,backendName:"webgl",kernelFunc:i$},s$=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o=4*Math.floor(n/4),s=n%4,u="sumValue += dot(values, ones);";if(null!=t){var l=1/t;u="sumValue += dot(values * "+(Jv(l)?l.toPrecision(2):l)+", ones);"}var c="";a%n>0&&(c="\n if (inIdx < 0 || inIdx >= "+a+") {\n return 0.0;\n }\n "),this.userCode="\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n "+c+"\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * "+n+";\n\n float sumValue = 0.0;\n\n for (int i = 0; i < "+o+"; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n "+u+"\n }\n\n int inIdx = inOffset + "+o+";\n if ("+(1===s)+") {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n "+u+"\n } else if ("+(2===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n "+u+"\n } else if ("+(3===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n "+u+"\n }\n setOutput(sumValue);\n }\n "},u$=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 d="";a%n>0&&(d="\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 "+d+"\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 l$(e,t,n,r){for(var a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=E_(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],l=u.inSize,c=u.windowSize,p=u.outSize,h=void 0;h="mean"===n?0===o?new s$({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new s$({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new u$({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 c$=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=PJ(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n void main() {\n "+a+" resRC = getOutputCoords();\n setOutput(getA("+i+"));\n }\n "};var p$=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=PJ(this.rank),i=vQ("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 h$(e,t,n){var r=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new p$(e.shape,t):new c$(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function d$(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=tg(a,e.shape),s=o,u=VS(s,i),l=null!=u,c=e;l&&(c=h$(e,u,r),s=GS(s.length,i)),WS("sum",s,i);var p=PS(c.shape,s),h=p[0],d=p[1],f=h;n&&(f=BS(h,o));var m=Xv(d),v=i$({inputs:{x:c},attrs:{shape:[Xv(e.shape)/m,m]},backend:r}),g=l$(v,fk(e.dtype),"sum",r),y=i$({inputs:{x:g},attrs:{shape:f},backend:r});return r.disposeIntermediateTensorInfo(v),r.disposeIntermediateTensorInfo(g),l&&r.disposeIntermediateTensorInfo(c),y}(t.x,r.axis,r.keepDims,n)}var f$={kernelName:dx,backendName:"webgl",kernelFunc:d$};function m$(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,l=new Array(u),c=0;c<l.length;c++)l[c]=i.shape[o[c]];if(s.shouldExecuteOnCPU([i])){var p=s.texData.get(i.dataId).values,h=fQ(p,i.shape,i.dtype,o,l);t=s.makeTensorInfo(l,i.dtype),s.texData.get(t.dataId).values=h}else t=h$(i,o,s);return t}var v$={kernelName:Mx,backendName:"webgl",kernelFunc:m$};function g$(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,d=void 0===h?null:h,f=t.shape.length,m=n.shape.length,v=r?t.shape[f-2]:t.shape[f-1],g=a?n.shape[m-1]:n.shape[m-2],y=r?t.shape[f-1]:t.shape[f-2],b=a?n.shape[m-2]:n.shape[m-1],x=t.shape.slice(0,-2),w=n.shape.slice(0,-2),k=Xv(x),N=Xv(w),I=TS(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);Hv(v===g,(function(){return"Error in matMul: inner shapes ("+v+") and ("+g+") of Tensors with shapes "+t.shape+" and "+n.shape+" and transposeA="+r+" and transposeB="+a+" must match."}));var S,T=r?[k,v,y]:[k,y,v],C=a?[N,b,g]:[N,g,b],E=i$({inputs:{x:t},backend:i,attrs:{shape:T}}),A=i$({inputs:{x:n},backend:i,attrs:{shape:C}}),R=[E,A],_=Math.max(k,N),F=r?E.shape[1]:E.shape[2],O=null!=s,D=null!=l,M="leakyrelu"===d,L=null!=d?ZQ(d,!0):null;if((1===y||1===b)&&F>1e3&&!1===(O||D||M||null!=L)){var z=E,P=A;r&&(z=m$({inputs:{x:E},backend:i,attrs:{perm:[0,2,1]}}),R.push(z)),a&&(P=m$({inputs:{x:A},backend:i,attrs:{perm:[0,2,1]}}),R.push(P));var B=1===b,W=z;1!==b&&(W=i$({inputs:{x:z},backend:i,attrs:{shape:[_,F,1]}}),R.push(W));var V=1===b?2:1,U=P;B&&(U=i$({inputs:{x:P},backend:i,attrs:{shape:[_,1,F]}}),R.push(U));var G=r$({inputs:{a:W,b:U},backend:i});S=d$({inputs:{x:G},backend:i,attrs:{axis:V,keepDims:!0}}),R.push(G)}else{var j=dk(t.dtype,n.dtype),H=new QQ(T,C,[_,y,b],r,a,O,L,D,M),q=[E,A];if(null!=s&&q.push(s),D&&q.push(l),M){var K=i.makeTensorInfo([],"float32",Bw(p,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=i$({inputs:{x:S},backend:i,attrs:{shape:I}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var y$={kernelName:Gx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,l=r.transposeB,c=r.activation;return g$({a:a,b:i,transposeA:u,transposeB:l,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:c})}},b$="return abs(x);";var x$={kernelName:Mg,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=eQ(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new EQ(a.shape,b$):new IQ(a.shape,b$),r.runWebGLProgram(t,[a],a.dtype)}},w$=YQ({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return acos(x);\n"}),k$={kernelName:Lg,backendName:"webgl",kernelFunc:w$},N$=YQ({opSnippet:"if (isnan(x)) return x;\n if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),I$={kernelName:zg,backendName:"webgl",kernelFunc:N$},S$="return a + b;",T$=JQ({opSnippet:S$,packedOpSnippet:S$,supportsComplex:!0,cpuKernelImpl:kZ}),C$={kernelName:Pg,backendName:"webgl",kernelFunc:T$},E$=function(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("float v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n void main() {\n "+n.join("\n ")+"\n\n float result = "+r+";\n setOutput(result);\n }\n "},A$=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 R$={kernelName:Bg,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return BQ({inputs:{x:a[0]},backend:r});if(a.length>Fg().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(a.length/2),o=e({inputs:a.slice(0,i),backend:r}),s=e({inputs:a.slice(i),backend:r});return e({inputs:[o,s],backend:r})}var u=a.map((function(e){return e.dtype})).reduce((function(e,t){return dk(e,t)})),l=a.map((function(e){return e.shape})),c=Fg().getBool("WEBGL_PACK")?new A$(a[0].shape,l):new E$(a[0].shape,l);return r.runWebGLProgram(c,a,u)}};var _$={kernelName:Wg,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=tg(i,a.shape),l=u,c=VS(l,s),p=a;null!=c&&(p=m$({inputs:{x:a},backend:n,attrs:{perm:c}}),l=GS(l.length,s)),WS("all",l,s);var h,d=PS(p.shape,l),f=d[0],m=i$({inputs:{x:p},backend:n,attrs:{shape:[-1,Xv(d[1])]}}),v=l$(m,m.dtype,"all",n);return h=i$(o?{inputs:{x:v},backend:n,attrs:{shape:BS(f,u)}}:{inputs:{x:v},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}};var F$={kernelName:Vg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=tg(i,a.shape),l=u,c=VS(l,s),p=a;null!=c&&(p=m$({inputs:{x:a},backend:n,attrs:{perm:c}}),l=GS(l.length,s)),WS("any",l,s);var h,d=PS(p.shape,l),f=d[0],m=i$({inputs:{x:p},backend:n,attrs:{shape:[-1,Xv(d[1])]}}),v=l$(m,m.dtype,"any",n);return h=i$(o?{inputs:{x:v},backend:n,attrs:{shape:BS(f,u)}}:{inputs:{x:v},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},O$=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 "},D$=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Hv(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=e[e.length-1],i=Math.ceil(a/t);this.outputShape=e.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=PJ(l),p=gQ("coords",l);if(1===i){var h=PJ(s=l+1);o="\n "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n ++"+p[l-1]+";\n "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n ++"+p[l-2]+";\n "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n --"+p[l-1]+";\n "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n --"+p[l-2]+";"}else s=l,o="\n "+c+" sourceLocR = coords;\n ++"+p[l-1]+";\n "+c+" sourceLocG = coords;\n ++"+p[l-2]+";\n "+c+" sourceLocA = coords;\n --"+p[l-1]+";\n "+c+" sourceLocB = coords;\n --"+p[l-2]+";";var d=["x","y","z","w","u","v"].slice(0,s),f="."+d[s-1],m=d.map((function(e){return"int "+e})),v=gQ("sourceLocR",s-1).concat("inIdx.r"),g=gQ("sourceLocG",s-1).concat("inIdx.g"),y=gQ("sourceLocB",s-1).concat("inIdx.b"),b=gQ("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n getBestIndicesAChannel("+g.join()+"),\n getBestIndicesAChannel("+y.join()+"),\n getBestIndicesAChannel("+b.join()+")));",k="vec4(\n getAChannel("+v.join()+"),\n hasNextCol ? getAChannel("+g.join()+") : 0.,\n hasNextRow ? getAChannel("+y.join()+") : 0.,\n hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n float getBestIndicesAChannel("+m.join()+") {\n return getChannel(getBestIndicesA("+d.join()+"),\n 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u=PS(s.shape,a),l=u[0],c=Xv(u[1]),p=i$({inputs:{x:s},backend:e,attrs:{shape:[-1,c]}});i.push(p);var h=M$(e,p,r);i.push(h);var d=i$({inputs:{x:h},backend:e,attrs:{shape:l}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),d}return L$(e,t,r)}var P$={kernelName:Ug,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=tg(r.axis,a.shape),o=VS(i,a.shape.length),s=a,u=[];null!=o&&(s=m$({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=GS(i.length,s.shape.length)),WS("argMax",[i[0]],s.shape.length);var l=z$(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}};var B$={kernelName:Gg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=tg(r.axis,a.shape),o=VS(i,a.shape.length),s=a,u=[];null!=o&&(s=m$({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=GS(i.length,s.shape.length)),WS("argMin",[i[0]],s.shape.length);var l=z$(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}},W$=YQ({opSnippet:"if (isnan(x)) return x;\n if (abs(x) > 1.) {\n return NAN;\n }\n return asin(x);\n"}),V$={kernelName:jg,backendName:"webgl",kernelFunc:W$},U$=YQ({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),G$={kernelName:Hg,backendName:"webgl",kernelFunc:U$},j$=YQ({opSnippet:"if (isnan(x)) return x;\n return atan(x);\n"}),H$={kernelName:qg,backendName:"webgl",kernelFunc:j$},q$=JQ({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return atan(a, b);\n",packedOpSnippet:"\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),K$={kernelName:Xg,backendName:"webgl",kernelFunc:q$},X$=YQ({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;"}),Y$={kernelName:Kg,backendName:"webgl",kernelFunc:X$},J$=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,d=e.padInfo.left;this.outputShape=e.outShape;var f="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(f||(g="-1.0 / 1e-20"),n){this.userCode="\n const ivec2 strides = ivec2("+o+", "+s+");\n const ivec2 pads = ivec2("+h+", "+d+");\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 / max(count, 1.0)");var b=4*Math.floor(i/4),x=i%4,w="\n if ("+f+") {\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+", "+d+");\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 "}},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.strideDepth,s=e.strideHeight,u=e.strideWidth,l=e.dilationDepth,c=e.dilationHeight,p=e.dilationWidth,h=e.effectiveFilterDepth,d=e.effectiveFilterHeight,f=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 < "+d+";\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 < "+f+";\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 * "+d+" * "+f+" +\n wR * "+f+" + 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 / max(count, 1.0)");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 < "+d+";\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 }\n setOutput("+x+");\n }\n "}};var Q$={kernelName:Yg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;bJ(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Hv(DI(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=II(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Yv(l.inShape,l.outShape))return BQ({inputs:{x:a},backend:n});var c=new J$(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var $$={kernelName:Zg,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=SI(a.shape,i,o,[1,1,1],s,u,l),p=new Z$(c,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}},e0=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 "},t0=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,d=c-1-e.padInfo.front,f=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n const ivec3 pads = ivec3("+d+", "+f+", "+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 n0={kernelName:Qg,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=SI(i.shape,o,s,[1,1,1],u,l),p=new t0(c);return n.runWebGLProgram(p,[a],i.dtype)}};var r0={kernelName:Jg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;bJ([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=II(o.shape,s,u,1,l),p=new e0(c);return n.runWebGLProgram(p,[a],o.dtype)}};var a0={kernelName:$g,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return g$({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},i0=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],TS(e,t),TS(e,n);var o="0.0";null!=r&&(TS(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(TS(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 "},o0=function(e,t,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],TS(e,t),TS(e,n);var o="vec4(0.0)";null!=r&&(TS(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(TS(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 "},s0={kernelName:jy,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;Hv(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Hv(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 d=Fg().getBool("WEBGL_PACK_NORMALIZATION")?new o0(a.shape,i.shape,o.shape,p,h,l):new i0(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(d,c,c[0].dtype)}},u0=function(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t=PJ(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 l0.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."+l0[t]+" = start["+t+"] + coords."+l0[t]+";"})).join("\n")+"\n ",this.userCode="\n void main() {\n "+n+"\n setOutput(getSource("+r+"));\n }\n "},l0=["x","y","z","w","u","v"];var c0=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=PJ(this.rank),n=gQ("coords",this.rank),r=gQ("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 p0(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=h_(a,r.begin,r.size),o=i[0],s=i[1];if(e_(a,o,s),0===Xv(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),l=tQ(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,l)}var c=n.texData.get(a.dataId).isPacked,p=c_(a.shape,o,s);if(c||!p){var h=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new c0(s):new u0(s),d=[o];return n.runWebGLProgram(h,[a],a.dtype,d)}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=p_(t,vg(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 h0={kernelName:ox,backendName:"webgl",kernelFunc:p0},d0={kernelName:ey,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Hv(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=R_(a.shape,i,s),l=__(u.length,i.length),c=F_(a.shape,i,s),p=O_(o,i.length),h=D_(c,o,i.length),d=[],f=i$({inputs:{x:a},backend:n,attrs:{shape:u}}),m=m$({inputs:{x:f},backend:n,attrs:{perm:l}}),v=i$({inputs:{x:m},backend:n,attrs:{shape:c}}),g=p0({inputs:{x:v},backend:n,attrs:{begin:p,size:h}});return d.push(f),d.push(m),d.push(v),d.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var f0={kernelName:ty,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=NZ(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}};var m0={kernelName:ry,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=TS(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},v0=JQ({opSnippet:"return float(a != b);",cpuKernelImpl:HZ,dtype:"bool"}),g0={kernelName:Eb,backendName:"webgl",kernelFunc:v0};function y0(e){var t=e.inputs,n=e.backend,r=t.input;return BQ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var b0={kernelName:Gb,backendName:"webgl",kernelFunc:y0};var x0={kernelName:ay,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 BQ({inputs:{x:i},backend:r});var s=VT(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),l=VQ({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),l}if("complex64"===i.dtype){var c=y0({inputs:{input:i},backend:r}),p=e({inputs:{x:c},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(c),p}if(!sg(i.dtype,o)){var h=BQ({inputs:{x:i},backend:r});return{dataId:h.dataId,shape:h.shape,dtype:o}}if(r.shouldExecuteOnCPU([i])){var d=r.texData.get(i.dataId).values,f=SZ(d,i.shape,i.dtype,o),m=f[0],v=f[1],g=f[2];return r.makeTensorInfo(m,v,g)}if("int32"===o)return function(e,t){var n=new IQ(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 y=r.makeTensorInfo([],"bool",rg("bool",1)),b=v0({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+o)}},w0="return ceil(x);",k0=YQ({opSnippet:w0,packedOpSnippet:w0,cpuKernelImpl:TZ}),N0={kernelName:iy,backendName:"webgl",kernelFunc:k0},I0=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 "},S0=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 T0={kernelName:oy,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=Fg().getBool("WEBGL_PACK_CLIP")?new S0(i.shape):new I0(i.shape);var u=[[o],[s]];return r.runWebGLProgram(t,[i],i.dtype,u)}},C0=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 E0(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var A0={kernelName:uy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new C0(r.shape),o=[E0(r,a.complexTensorInfos.real),E0(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},R0=function(e){this.outputShape=[],this.outputShape=N_(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 "},_0=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N_(e,t);var n=this.outputShape,r=n.length,a=PJ(r),i=gQ("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 }",d=1;d<s.length;d++){var f=s[d-1];h+="\n if ("+l+" < "+s[d]+" && "+l+" >= "+s[d-1]+") {\n return getChannel(\n getT"+d+"("+F0(o,l,f)+"),\n vec2("+F0(c,l,f)+"));\n }"}var m=s.length,v=s[s.length-1];h+="\n return getChannel(\n getT"+m+"("+F0(o,l,v)+"),\n vec2("+F0(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 F0(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function O0(e){var t=e.inputs,n=e.backend,r=t.input;return BQ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var D0={kernelName:Zy,backendName:"webgl",kernelFunc:O0};function M0(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return y0({inputs:{input:e},backend:n})})),i=e.map((function(e){return O0({inputs:{input:e},backend:n})})),o=M0(a,t,n),s=M0(i,t,n),u=VQ({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=Xv(e.shape.slice(t));return i$({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),p=c.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),h=N_(c.map((function(e){return e.shape})),1),d=1===c[0].shape[0],f=CZ(p,h,r,d),m=N_(e.map((function(e){return e.shape})),t),v=n.makeTensorInfo(m,r,f);return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}var g=e.filter((function(e){return Xv(e.shape)>0})),y=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new IQ(e[0].shape,CQ):new EQ(e[0].shape,CQ);return n.runWebGLProgram(b,e,r)}var x=Fg().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>x){for(var w=[],k=0;k<g.length;k+=x){var N=g.slice(k,k+x);w.push(M0(N,t,n))}for(var I=M0(w,t,n),S=0,T=w;S<T.length;S++){var C=T[S];n.disposeIntermediateTensorInfo(C)}return I}if(y){var E=new _0(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(E,g,r)}var A=function(e,t,n){var r=N_(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return i$({inputs:{x:e},attrs:{shape:[-1,Xv(e.shape.slice(t))]},backend:n})})),outShape:r}}(g,t,n),R=A.tensors2D,_=A.outShape,F=new R0(R.map((function(e){return e.shape}))),O=n.runWebGLProgram(F,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var D=i$({inputs:{x:O},attrs:{shape:_},backend:n});return n.disposeIntermediateTensorInfo(O),D}function L0(e){var t=e.inputs,n=e.backend,r=tg(e.attrs.axis,t[0].shape)[0];k_(t.map((function(e){return e.shape})),r);var a=N_(t.map((function(e){return e.shape})),r);if(0===Xv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Xv(e.shape)>0}));return 1===i.length?BQ({inputs:{x:i[0]},backend:n}):M0(i,r,n)}var z0={kernelName:ly,backendName:"webgl",kernelFunc:L0},P0=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,d=4*Math.floor(e.inChannels/4),f=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 < "+d+"; 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===f)+") {\n\n if ("+m+") {\n dotProd +=\n getX(batch, xR, xC, "+d+") *\n getW(wR, wC, "+d+", d2);\n } else {\n dotProd +=\n getX(batch, "+d+", xR, xC) *\n getW(wR, wC, "+d+", d2);\n }\n\n } else if ("+(2===f)+") {\n vec2 wValues = vec2(\n getW(wR, wC, "+d+", d2),\n getW(wR, wC, "+d+" + 1, d2)\n );\n\n if ("+m+") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, "+d+"),\n getX(batch, xR, xC, "+d+" + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, "+d+", xR, xC),\n getX(batch, "+d+" + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if ("+(3===f)+") {\n vec3 wValues = vec3(\n getW(wR, wC, "+d+", d2),\n getW(wR, wC, "+d+" + 1, d2),\n getW(wR, wC, "+d+" + 2, d2)\n );\n\n if ("+m+") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, "+d+"),\n getX(batch, xR, xC, "+d+" + 1),\n getX(batch, xR, xC, "+d+" + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, "+d+", xR, xC),\n getX(batch, "+d+" + 1, xR, xC),\n getX(batch, "+d+" + 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 "},B0=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,d=4*Math.floor(e.inChannels/4),f=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 < "+d+"; 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===f)+") {\n dotProd +=\n getX(batch, xF, xR, xC, "+d+") *\n getW(wF, wR, wC, "+d+", d2);\n } else if ("+(2===f)+") {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, "+d+"),\n getX(batch, xF, xR, xC, "+d+" + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, "+d+", d2),\n getW(wF, wR, wC, "+d+" + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if ("+(3===f)+") {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, "+d+"),\n getX(batch, xF, xR, xC, "+d+" + 1),\n getX(batch, xF, xR, xC, "+d+" + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, "+d+", d2),\n getW(wF, wR, wC, "+d+" + 1, d2),\n getW(wF, wR, wC, "+d+" + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},W0=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=jJ(this.outputShape.length);for(var i=e.padInfo.left,o=e.strideWidth,s=e.dilationWidth,u=e.filterHeight,l=e.filterWidth,c=l,p="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",h=0;h<l;h++)p+="\n vec4 xTexelC"+2*h+";\n int xTexelC"+2*h+"Ready;\n vec4 xTexelC"+(2*h+1)+";\n int xTexelC"+(2*h+1)+"Ready;\n vec4 xC"+h+";";p+="\n for (int r = 0; r < "+u+"; r++) {\n for (int d1 = 0; d1 < "+e.inChannels+"; d1 += 2) {\n ";for(var d=0;d<l;d++)p+="\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);";p+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR < inDims[0]) {\n ";for(var f=0;f<(c+1)/2;f++){var m=2*f;if(p+="\n xC = xCCorner + "+m*s+";\n ",1===o){if(m<l&&(i%2==1?(p+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = 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"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n ",p+=1===s&&m>0?"\n xC"+m+" = vec4(xTexelC"+(m-2)+".zw, xTexelC"+m+".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"+m+" = vec4(previous.zw, xTexelC"+m+".xy);\n } else {\n xC"+m+" = vec4(0.0, 0.0, xTexelC"+m+".xy);\n }\n "):p+="\n if (xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n xC"+m+" = xTexelC"+m+";\n ",m+1<l)){var v=i%2==0?Uv(s):s;s%2==0&&i%2==1||s%2!=0&&i%2!=1?(p+="\n xCOffset = xC + imod(pads[1], 2) + "+v+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+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"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n ",p+=s>1?"\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC"+(m+1)+" = vec4(previous.zw, xTexelC"+(m+1)+".xy);\n } else {\n xC"+(m+1)+" = vec4(0.0, 0.0, xTexelC"+(m+1)+".xy);\n }\n ":"\n xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".xy);\n "):p+=1===v?"\n xC"+(m+1)+" = xTexelC"+m+";\n ":"\n xCOffset = xC + "+v+";\n\n if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+(m+1)+" = xTexelC"+(m+1)+";\n "}}else m<l&&(i%2==1?(p+="\n xCOffset = xC + 1 - strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = 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"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+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"+(m+1)+".zw = vec2(0.0);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+m+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".zw);\n ",m+1<l&&(p+="\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"+(m+1)+" = vec4(xTexelC"+(m+1)+".xy, final.xy);\n ")):(p+="\n if(xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n xTexelC"+m+" = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC"+m+".zw = vec2(0.0);\n }\n xTexelC"+m+"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC"+(m+1)+".zw = vec2(0.);\n }\n xTexelC"+(m+1)+"Ready = 1;\n }\n\n xC"+m+" = vec4(\n xTexelC"+m+".xy, xTexelC"+(m+1)+".xy);\n ",m+1<l&&(p+="\n xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".zw);\n ")));m<l&&(p+="\n wTexel = getW(r, "+m+", d1, d2);\n dotProd += xC"+m+".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < "+e.inChannels+") {\n dotProd += xC"+m+".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n ",m+1<l&&(p+="\n wTexel = getW(r, "+(m+1)+", d1, d2);\n dotProd += xC"+(m+1)+".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < "+e.inChannels+") {\n dotProd += xC"+(m+1)+".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n "))}p+="\n }\n ",p+="\n }\n ",p+="\n }\n ";var g="",y="";n&&(g=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 }",y="result = activation(result);");var b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n "+g+"\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 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 "+p+"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n "+b+"\n "+y+"\n setOutput(result);\n }\n "},V0=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{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=jJ(this.outputShape.length);for(var n=t.dataFormat,r=kJ(),a="channelsLast"===n,i=a?1:2,o=a?2:3,s=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < "+e[2]+" && pos < "+e[1]+") {",u="",l=0;l<=1;l++)for(var c=0;c<=1;c++)u+="\n blockIndex = rc.z + "+c+";\n pos = rc.y + "+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(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result["+(2*l+c)+"] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n ";this.userCode="\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n "+u+"\n\n "+r.output+" = result;\n }\n "};function U0(e,t){var n=e.length;return n>=3?[].concat(e.slice(0,-3),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function G0(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,d=void 0===h?null:h,f=n.shape,m=i.texData.get(n.dataId),v=a.inChannels,g=f[0]*f[1]*f[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=l){var w=U0(l.shape,b);null!=w&&(l=i$({inputs:{x:l},backend:i,attrs:{shape:w}}),x.push(l))}if(null!=s){var k=U0(s.shape,b);null!=k&&(s=i$({inputs:{x:s},backend:i,attrs:{shape:k}}),x.push(s))}if(!((1===g||1===y)&&v>1e3)&&m.isPacked&&b&&null!=m.texture&&f[2]%2!=0&&Yv(m.shape.slice(-3),f.slice(-3))){var N=f[0]*f[1]*(f[2]+1),I={dataId:n.dataId,shape:[1,N,a.inChannels],dtype:n.dtype},S=m.shape;m.shape=m.shape.slice(),m.shape[m.shape.length-2]++,Hv(lJ(m.shape,I.shape),(function(){return"packed reshape "+m.shape+" to "+I.shape+" isn't free"}));var T=i$({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var C=g$({a:I,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:d,preluActivationWeights:l,leakyreluAlpha:p}),E=i.texData.get(C.dataId);Hv(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),m.shape=S,E.shape=a.outShape,(t=BQ({inputs:{x:C},backend:i})).shape=a.outShape,x.push(C)}else{var A=a.outHeight*a.outWidth,R=i$({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=i$({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),F=g$({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:d,preluActivationWeights:l,leakyreluAlpha:p});t=i$({inputs:{x:F},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(F)}for(var O=0,D=x;O<D.length;O++){var M=D[O];i.disposeIntermediateTensorInfo(M)}return t}function j0(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,l=e.leakyreluAlpha,c=void 0===l?0:l,p=e.activation,h=void 0===p?null:p,d=r.filterWidth,f=r.filterHeight,m=r.inChannels,v=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=d*f*m,x=g*v,w=[r.batchSize,b,x],k=[];if(null!=u){var N=U0(u.shape,y);null!=N&&(u=i$({inputs:{x:u},backend:a,attrs:{shape:N}}),k.push(u))}if(null!=o){var I=U0(o.shape,y);null!=I&&(o=i$({inputs:{x:o},backend:a,attrs:{shape:I}}),k.push(o))}var S=i$({inputs:{x:n},backend:a,attrs:{shape:[1,b,Xv(n.shape)/b]}});k.push(S);var T=new V0(w,r),C=[t.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(T,[t],"float32",C),A=i$({inputs:{x:E},backend:a,attrs:{shape:w}});k.push(E),k.push(A);var R=null!=o,_=null!=u,F="leakyrelu"===h,O=h?ZQ(h,!0):null,D=new QQ(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,O,_,F),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),F){var L=a.makeTensorInfo([],"float32",Bw(c,"float32"));M.push(L),k.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=i$({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});k.push(z);for(var B=0,W=k;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var H0={kernelName:cy,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=LI(l),d=TI(i.shape,o.shape,s,c,u,p,!1,h);if(1!==d.filterHeight||1!==d.filterWidth||1!==d.dilationHeight||1!==d.dilationWidth||1!==d.strideHeight||1!==d.strideWidth||"SAME"!==d.padInfo.type&&"VALID"!==d.padInfo.type)if(d.strideWidth<=2&&"channelsLast"===h&&Fg().getBool("WEBGL_EXP_CONV")){var f=new W0(d),m=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];t=r.runWebGLProgram(f,[i,o],"float32",m)}else if(Fg().getBool("WEBGL_CONV_IM2COL"))t=j0({x:i,filter:o,convInfo:d,backend:r});else{var v=new P0(d);t=r.runWebGLProgram(v,[i,o],"float32")}else t=G0({x:i,filter:o,convInfo:d,backend:r});var g=i$({inputs:{x:t},backend:r,attrs:{shape:d.outShape}});return r.disposeIntermediateTensorInfo(t),g}},q0=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 "+(i?"float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);")+"\n }\n }\n }\n setOutput(dotProd);\n }\n "},K0=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 "},X0=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 "},Y0=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 J0={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.dataFormat,l=r.dimRoundingMode,c=r.filterShape,p=LI(u),h=TI(a.shape,c,o,1,s,l,!1,p),d=new q0(h);return n.runWebGLProgram(d,[a,i],"float32")}},Z0=function(e){this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=e.inShape,this.enableShapeUniforms=jJ(this.outputShape.length);var t=e.filterHeight,n=e.filterWidth,r=t-1-e.padInfo.top,a=n-1-e.padInfo.left;this.userCode="\n const ivec2 pads = ivec2("+r+", "+a+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n\n ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n vec4 result = vec4(0.);\n for (int wR = 0; wR < "+t+"; wR++) {\n float dyR = float(dyRCorner + wR) / strides[0];\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n int wRPerm = "+t+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n int wCPerm = "+n+" - 1 - wC;\n\n float dyC = float(dyCCorner + wC) / strides[1];\n bool idyCVal = (dyC >= 0.0) && (dyC < "+e.outWidth+".0)\n && (fract(dyC) == 0.0);\n int idyC = int(dyC);\n\n float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < "+e.outWidth+".0)\n && (fract(dyC2) == 0.0);\n int idyC2 = int(dyC2);\n\n if (idyCVal && idyCVal2) {\n for (int d2 = 0; d2 < "+e.outChannels+"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n dySample : getDy(batch, idyR, idyC2, d2);\n\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n\n dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample2.xy : dySample2.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal) {\n for (int d2 = 0; d2 < "+e.outChannels+"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal2) {\n for (int d2 = 0; d2 < "+e.outChannels+"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC2, d2);\n vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n }\n }\n }\n setOutput(result);\n }\n "};var Q0={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.inputShape,s=r.strides,u=r.pad,l=r.dataFormat,c=r.dimRoundingMode,p=LI(l),h=TI(o,i.shape,s,1,u,c,!1,p);if(Fg().getBool("WEBGL_PACK")&&"channelsLast"===p){var d=[[h.strideHeight,h.strideWidth]],f=new Z0(h);return n.runWebGLProgram(f,[a,i],"float32",d)}var m=new K0(h);return n.runWebGLProgram(m,[a,i],"float32")}};var $0={kernelName:dy,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=CI(a.shape,i.shape,o,u,s),c=new B0(l);return n.runWebGLProgram(c,[a,i],"float32")}};var e1={kernelName:fy,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=CI(a.shape,u,o,1,s),c=new X0(l);return n.runWebGLProgram(c,[a,i],"float32")}};var t1,n1={kernelName:my,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=CI(r.inputShape,i.shape,s,1,o),l=new Y0(u);return n.runWebGLProgram(l,[a,i],"float32")}},r1=YQ({opSnippet:"if (isnan(x)) return x;\n return cos(x);\n",packedOpSnippet:"\n vec4 result = cos(x);\n bvec4 isNaN = isnan(x);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),a1={kernelName:vy,backendName:"webgl",kernelFunc:r1},i1=YQ({opSnippet:"\n float e2x = exp(-x);\n return (e2x + 1.0 / e2x) / 2.0;\n"}),o1={kernelName:gy,backendName:"webgl",kernelFunc:i1},s1=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,d=o-1+".0",f=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+f+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+f],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 > "+d+" ) {\n setOutput(float("+a+"));\n return;\n }\n float in_x = "+k+";\n if( in_x < 0.0 || in_x > "+f+" ) {\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 "},u1={kernelName:xy,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 s1(a.shape,i.shape,s,u,l);return n.runWebGLProgram(c,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(t1||(t1={}));var l1=function(e,t,n,r){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var a=this.outputShape.length,i=this.op===t1.Prod?"1.0":"0.0",o=n?i:"getX("+c1(a,"coords",this.op)+")",s=this.outputShape[this.outputShape.length-1],u="",l="";n?(u=r?"end != "+(s-1):"end != 0",l=r?"end + 1":"end - 1"):(u=r?"end + pow2 < "+s:"end >= pow2",l=r?"end + pow2":"end - pow2"),this.userCode="\n void main() {\n "+PJ(a)+" coords = getOutputCoords();\n int end = "+p1(a,"coords",this.op)+";\n float val = "+o+";\n int pow2 = int(pow(2.0, index));\n if ("+u+") {\n int idx = "+l+";\n "+p1(a,"coords",this.op)+" = idx;\n val "+this.op+"= getX("+c1(a,"coords",this.op)+");\n }\n setOutput(val);\n }\n "};function c1(e,t,n){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 new Error("Cumulative "+n+" for rank "+e+" is not yet supported")}function p1(e,t,n){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw new Error("Cumulative "+n+" for rank "+e+" is not yet supported")}function h1(e,t,n,r,a,i){var o=t.shape.length,s=VS([r],o),u=t;null!=s&&(u=m$({inputs:{x:t},backend:n,attrs:{perm:s}}));var l=GS(1,o)[0];if(l!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis="+(t.shape.length-1)+" but got axis="+r);for(var c=u.shape[l],p=BQ({inputs:{x:u},backend:n}),h=0;h<=Math.ceil(Math.log2(c))-1;h++){var d=new l1(e,u.shape,!1,i),f=[[h]],m=p;p=n.runWebGLProgram(d,[p],p.dtype,f),n.disposeIntermediateTensorInfo(m)}if(a){var v=new l1(e,u.shape,a,i),g=p;p=n.runWebGLProgram(v,[p],p.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=m$({inputs:{x:p},backend:n,attrs:{perm:US(s)}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(u),y}return p}var d1={kernelName:yy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return h1(t1.Prod,a,n,i,o,s)}};var f1={kernelName:by,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return h1(t1.Sum,a,n,i,o,s)}};var m1={kernelName:wy,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=NZ(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),d=IZ(p,h,o,s);return n.makeTensorInfo(d.shape,i.dtype,d.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}},v1=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 g1={kernelName:ky,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 v1("NHWC"===o?[s,u,l,c]:[s,c,u,l],i,o);return n.runWebGLProgram(p,[a],a.dtype)}},y1=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=jJ(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 "},b1=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=jJ(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;",d=0;d<c;d++)h+="\n vec4 xTexelC"+2*d+";\n int xTexelC"+2*d+"Ready;\n vec4 xTexelC"+(2*d+1)+";\n int xTexelC"+(2*d+1)+"Ready;\n vec4 xC"+d+";";h+="\n for (int r = 0; r < "+l+"; r++) {\n ";for(var f=0;f<c;f++)h+="\n xTexelC"+2*f+" = vec4(0.0);\n xTexelC"+2*f+"Ready = 0;\n xTexelC"+(2*f+1)+" = vec4(0.0);\n xTexelC"+(2*f+1)+"Ready = 0;\n xC"+f+" = 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?Uv(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 ",h+=u>1?"\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset < inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC"+(v+1)+" = vec4(previous.zw, xTexelC"+(v+1)+".xy);\n } else {\n xC"+(v+1)+" = vec4(0.0, 0.0, xTexelC"+(v+1)+".xy);\n }\n ":"\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 x1={kernelName:Ny,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]),Hv(DI(o,c),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p,h=TI(a.shape,i.shape,o,c,s,l,!0);p=Fg().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new b1(h):new y1(h);var d=[[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",d)}},w1=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 "},k1=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; 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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 H1(e,t,n){var r=n.texData.get(e.dataId),a=Xv(e.shape),i=e.shape[e.shape.length-1],o=i$({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new j1("real",s,t),l=new j1("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"),d=VQ({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);var f=i$({inputs:{x:d},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(d),f}var q1={kernelName:By,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return H1(t.input,!1,n)}},K1=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 X1(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||dg(a))){var o=ag(i,Xv(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new K1(r,a),u=[[a]];return t.runWebGLProgram(s,[],i,u)}var Y1,J1={kernelName:Wy,backendName:"webgl",kernelFunc:X1},Z1=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 "},Q1={kernelName:Vy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new Z1(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},$1="return floor(x);",e2=YQ({opSnippet:$1,packedOpSnippet:$1,cpuKernelImpl:_Z}),t2={kernelName:Uy,backendName:"webgl",kernelFunc:e2},n2=JQ({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"}),r2={kernelName:Gy,backendName:"webgl",kernelFunc:n2},a2=function(e){this.variableNames=["A"];var t=kJ(),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 "},i2=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=kJ(),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 "},o2={kernelName:Vx,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];if(s||o){var d=Fg().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");null!=Y1&&d===s2||(s2=d,Y1=document.createElement("canvas").getContext("2d",{willReadFrequently:s2})),Y1.canvas.width=l,Y1.canvas.height=c,Y1.drawImage(a,0,0,l,c),a=Y1.canvas}var f=n.makeTensorInfo(p,"int32");n.texData.get(f.dataId).usage=bY.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);var m=Fg().getBool("WEBGL_PACK")?new i2(h):new a2(h),v=n.runWebGLProgram(m,[f],"int32");return n.disposeData(f.dataId),v}},s2=Fg().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");var u2={kernelName:jx,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,d=a.dimRoundingMode,f=a.activation,m=a.leakyreluAlpha,v=LI(p),g=TI(i.shape,o.shape,l,h,c,d,!1,v),y=[],b=null!=s,x=null!=u,w="leakyrelu"===f,k=function(){var e=[i,o],t=function(e,t){if("NCHW"===t&&1===e.shape.length&&1!==e.shape[0]){var n=i$({inputs:{x:e},backend:r,attrs:{shape:[e.shape[0],1,1]}});return y.push(n),n}return e};if(b&&e.push(t(s,p)),x&&e.push(t(u,p)),w){var n=r.makeTensorInfo([],"float32",Bw(m,"float32"));e.push(n),y.push(n)}return e};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(g.strideWidth<=2&&"channelsLast"===v&&Fg().getBool("WEBGL_EXP_CONV")){var N=f?ZQ(f,!0):null,I=new W0(g,b,N,x,w),S=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=k();t=r.runWebGLProgram(I,T,"float32",S)}else if(Fg().getBool("WEBGL_CONV_IM2COL"))t=j0({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:f,preluActivationWeights:u,leakyreluAlpha:m});else{var C=f?ZQ(f,!1):null,E=new P0(g,b,C,x,w),A=k();t=r.runWebGLProgram(E,A,"float32")}else t=G0({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:f,preluActivationWeights:u,leakyreluAlpha:m});var R=i$({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),R}};var l2={kernelName:Hx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dilations,p=r.dimRoundingMode,h=r.activation,d=r.leakyreluAlpha,f=[],m=c;null==m&&(m=[1,1]),Hv(DI(u,m),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. 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+= index * "+this.strides[o]+";";this.userCode="\n void main() {\n "+a+" coords = getOutputCoords();\n int flattenIndex = 0;\n bool out_of_bounds = false;\n\n "+i+"\n\n setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n }\n "};var p2={kernelName:qy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=Xv(r.shape),u=QR(r,a),l=u[0],c=u[1],p=u[2],h=u[3],d=i$({inputs:{x:a},backend:n,attrs:{shape:[c,o]}}),f=i$({inputs:{x:r},backend:n,attrs:{shape:[Xv(r.shape)/p,p]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var m=n.readSync(a.dataId),v=n.bufferSync(r),g=FZ(m,v,r.dtype,c,o,p,h,r.shape,s);return n.makeTensorInfo(l,r.dtype,g.values)}var y=new c2(o,h,[c,p],r.shape),b=n.runWebGLProgram(y,[f,d],f.dtype),x=i$({inputs:{x:b},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(b),x}},h2=function(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;var n=PJ(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 d2(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=tg(o,a.shape)[0];Fg().get("DEBUG")&&function(){for(var e=n.readSync(i.dataId),t=a.shape[u],r=function(n){var r=e[n];Hv(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=xF(a,i,u,s),c=Xv(i.shape),p=[],h=i$({inputs:{x:a},backend:n,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),d=i$({inputs:{x:i},backend:n,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(h),p.push(d);var f=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var m=n.bufferSync(d),v=n.bufferSync(h),g=OZ(v,m,f);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(l.outputShape,g.dtype,g.values)}var y=new h2(h.shape,f),b=n.runWebGLProgram(y,[h,d],h.dtype);p.push(b);var x=i$({inputs:{x:b},backend:n,attrs:{shape:l.outputShape}});return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}var f2={kernelName:Hy,backendName:"webgl",kernelFunc:d2},m2=JQ({opSnippet:"return float(a > b);",packedOpSnippet:"\n return vec4(greaterThan(a, b));\n",cpuKernelImpl:DZ,dtype:"bool"}),v2={kernelName:Ky,backendName:"webgl",kernelFunc:m2},g2=JQ({opSnippet:"return float(a >= b);",packedOpSnippet:"\n return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:MZ}),y2={kernelName:Xy,backendName:"webgl",kernelFunc:g2};var b2={kernelName:Jy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return H1(t.input,!0,n)}},x2=YQ({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),w2={kernelName:Qy,backendName:"webgl",kernelFunc:x2},k2=YQ({opSnippet:"return float(isinf(x));",dtype:"bool"}),N2={kernelName:$y,backendName:"webgl",kernelFunc:k2},I2=YQ({opSnippet:"return float(isnan(x));",dtype:"bool"}),S2={kernelName:eb,backendName:"webgl",kernelFunc:I2},T2=JQ({opSnippet:"return float(a < b);",packedOpSnippet:"\n return vec4(lessThan(a, b));\n",cpuKernelImpl:LZ,dtype:"bool"}),C2={kernelName:nb,backendName:"webgl",kernelFunc:T2},E2=JQ({opSnippet:"return float(a <= b);",packedOpSnippet:"\n return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:zZ,dtype:"bool"}),A2={kernelName:rb,backendName:"webgl",kernelFunc:E2};var R2={kernelName:ab,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=PZ(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},_2=YQ({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:BZ}),F2={kernelName:ib,backendName:"webgl",kernelFunc:_2},O2=YQ({opSnippet:"if (isnan(x)) return x;\n return log(1.0 + x);\n"}),D2={kernelName:ob,backendName:"webgl",kernelFunc:O2},M2=JQ({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"}),L2={kernelName:sb,backendName:"webgl",kernelFunc:M2},z2=YQ({opSnippet:"return float(!(x >= 1.0));"}),P2={kernelName:ub,backendName:"webgl",kernelFunc:z2},B2=JQ({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"}),W2={kernelName:lb,backendName:"webgl",kernelFunc:B2},V2=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 "},U2=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 "},G2={kernelName:pb,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=Fg().getBool("WEBGL_PACK_NORMALIZATION")?new U2(a.shape,i,o,s,u):new V2(a.shape,i,o,s,u);return n.runWebGLProgram(l,[a],a.dtype)}},j2=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 "},H2={kernelName:hb,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 j2(a.shape,s,u,l,c);return n.runWebGLProgram(p,[a,i,o],a.dtype)}};function q2(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=tg(i,a.shape),l=u,c=VS(l,s),p=null!=c,h=n.shouldExecuteOnCPU([a]),d=a;if(p){if(h){for(var f=n.texData.get(d.dataId).values,m=new Array(s),v=0;v<m.length;v++)m[v]=a.shape[c[v]];var g=fQ(f,a.shape,a.dtype,c,m);d=n.makeTensorInfo(m,a.dtype),n.texData.get(d.dataId).values=g}else d=h$(a,c,n);l=GS(l.length,s)}WS("max",l,s);var y,b=PS(d.shape,l),x=b[0],w=b[1],k=x;if(o&&(k=BS(x,u)),h){f=n.texData.get(d.dataId).values;var N=WZ(f,Xv(w),k,a.dtype);y=n.makeTensorInfo(k,a.dtype),n.texData.get(y.dataId).values=N}else y=function(e,t,n,r){var a=Xv(t),i=i$({inputs:{x:e},attrs:{shape:[Xv(e.shape)/a,a]},backend:r}),o=l$(i,e.dtype,"max",r),s=i$({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(d,w,k,n);return p&&n.disposeIntermediateTensorInfo(d),y}var K2={kernelName:db,backendName:"webgl",kernelFunc:q2},X2=JQ({opSnippet:"\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return max(a, b);\n",packedOpSnippet:"\n vec4 result = vec4(max(a, b));\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:VZ}),Y2={kernelName:fb,backendName:"webgl",kernelFunc:X2};var J2={kernelName:mb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;bJ(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Hv(DI(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=II(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Yv(l.inShape,l.outShape))return BQ({inputs:{x:a},backend:n});var c=new J$(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var Z2={kernelName:gb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=SI(a.shape,i,o,[1,1,1],s,l,u),p=new Z$(c,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}},Q2=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 "},$2=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,d=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 = "+d+" -\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 e3={kernelName:yb,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=SI(i.shape,o,s,[1,1,1],u,l),p=new Z$(c,"max",!0),h=n.runWebGLProgram(p,[i],i.dtype),d=new $2(c),f=n.runWebGLProgram(d,[a,h],i.dtype);return n.disposeIntermediateTensorInfo(h),f}};var t3={kernelName:vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;bJ([i,t.output],"maxPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=II(o.shape,s,u,1,l,c),h=new J$(p,"max",!0),d=n.runWebGLProgram(h,[o],o.dtype),f=new Q2(p),m=n.runWebGLProgram(f,[a,d],o.dtype);return n.disposeIntermediateTensorInfo(d),m}};var n3={kernelName:bb,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;Hv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Hv(DI(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p=II(a.shape,i,o,c,s),h=function(e,t,n,r){var a=new J$(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new J$(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,p,l);return[h[0],h[1]]}};var r3={kernelName:xb,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=tg(o,a.shape),c=l,p=VS(c,u),h=null!=p,d=s.shouldExecuteOnCPU([a]),f=[],m=a;if(h){if(d){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=fQ(v,a.shape,a.dtype,p,g);m=s.makeTensorInfo(g,a.dtype),s.texData.get(m.dataId).values=b}else m=h$(a,p,s);f.push(m),c=GS(c.length,u)}WS("sum",c,u);var x=PS(m.shape,c),w=x[0],k=x[1],N=w;i&&(N=BS(w,l));for(var I=function(e,t,n,r){var a=Xv(t),i=i$({inputs:{x:e},attrs:{shape:[Xv(e.shape)/a,a]},backend:r}),o=l$(i,"float32","mean",r),s=i$({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(m,k,N,s),S=0,T=f;S<T.length;S++){y=T[S];s.disposeIntermediateTensorInfo(y)}return I}};var a3={kernelName:wb,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=tg(i,a.shape),l=u,c=VS(l,s),p=a;null!=c&&(p=m$({inputs:{x:a},backend:n,attrs:{perm:c}}),l=GS(l.length,a.shape.length)),WS("min",l,s);var h,d=PS(p.shape,l),f=d[0],m=i$({inputs:{x:p},backend:n,attrs:{shape:[-1,Xv(d[1])]}}),v=l$(m,m.dtype,"min",n);return h=i$(o?{inputs:{x:v},backend:n,attrs:{shape:BS(f,u)}}:{inputs:{x:v},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},i3=JQ({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 bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n",cpuKernelImpl:UZ}),o3={kernelName:kb,backendName:"webgl",kernelFunc:i3},s3=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=PJ(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 "},u3=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=PJ(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=gQ("rc",r),u=gQ("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 d="\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 "+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 "}else{var f="\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 "+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 rc = outputLoc;\n "+s[r-2]+" += 1;\n if("+s[r-2]+" < "+this.outputShape[r-2]+") {\n "+f+"\n result[2] = getChannel(getX("+u.join()+"), "+c+");\n "+s[r-1]+" += 1;\n if("+l+") {\n "+f+"\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 "},l3={kernelName:Nb,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=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new u3(a.shape,i,o):new s3(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},c3=JQ({opSnippet:"if (b == 0.0) return NAN;\n return mod(a, b);",packedOpSnippet:"\n vec4 result = mod(a, b);\n bvec4 isNaN = equal(b, vec4(0.0));\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),p3={kernelName:Ib,backendName:"webgl",kernelFunc:c3},h3=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 "},d3=JQ({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}),f3={kernelName:Ry,backendName:"webgl",kernelFunc:d3},m3="return a - b;",v3=JQ({opSnippet:m3,packedOpSnippet:m3,supportsComplex:!0,cpuKernelImpl:pQ}),g3={kernelName:Ax,backendName:"webgl",kernelFunc:v3};function y3(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=tg([r.dim],a.shape),o=q2({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=BS(o.shape,i),u=i$({inputs:{x:o},backend:n,attrs:{shape:s}}),l=v3({inputs:{a:a,b:u},backend:n}),c=z1({inputs:{x:l},backend:n}),p=d$({inputs:{x:c},backend:n,attrs:{axis:i,keepDims:!1}}),h=i$({inputs:{x:p},backend:n,attrs:{shape:s}}),d=d3({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),d}var b3={kernelName:vx,backendName:"webgl",kernelFunc:y3};var x3={kernelName:Sb,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:y3({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new h3(l,c,i),h=[[o]],d=n.runWebGLProgram(p,[u],"int32",h);return s||n.disposeIntermediateTensorInfo(u),d}};var w3={kernelName:Cb,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=jZ(i.values,a.shape,a.dtype),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new EQ(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 IQ(a.shape,"if (isnan(x)) return x;\n return -x;\n"),r.runWebGLProgram(t,[a],a.dtype)}},k3=gA;var N3={kernelName:Ab,backendName:"webgl",kernelFunc:function(e){qx("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=k3(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},I3=yA;var S3={kernelName:Rb,backendName:"webgl",kernelFunc:function(e){qx("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=I3(c,p,o,s,u,l),d=h.selectedIndices,f=h.validOutputs;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([f]))]}},T3=bA;var C3={kernelName:_b,backendName:"webgl",kernelFunc:function(e){qx("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=T3(c,p,o,s,u,l),d=h.selectedIndices,f=h.selectedScores;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([f.length],"float32",new Float32Array(f))]}},E3=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 "},A3={kernelName:Ob,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue,l=Xv(a.shape),c=new E3(l,o,s,u),p=i$({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(c,[p],i);n.disposeIntermediateTensorInfo(p);var d=i$({inputs:{x:h},backend:n,attrs:{shape:[].concat(a.shape,[o])}});return n.disposeIntermediateTensorInfo(h),d}};function R3(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=y0({inputs:{input:r},backend:n}),i=R3({inputs:{x:a},backend:n}),o=O0({inputs:{input:r},backend:n}),s=R3({inputs:{x:o},backend:n}),u=VQ({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return X1({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var _3={kernelName:Bx,backendName:"webgl",kernelFunc:R3};var F3={kernelName:Fb,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=y0({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=O0({inputs:{input:a},backend:r}),u=R3({inputs:{x:s},backend:r}),l=VQ({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return X1({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var O3={kernelName:Db,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return B1({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){qv(a,e.shape,"All tensors passed to stack must have matching shapes"),Hv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=L0({inputs:t.map((function(e){var t=B1({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}},D3=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=PJ(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 "},M3=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=PJ(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=gQ("rc",r),u=gQ("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))",d="",f=0,m=1===r?2:4;f<m;f++)d+="\n "+p[f]+"\n if ("+h+") {\n result["+f+"] = float(value);\n } else {\n "+a+" source = rc - start;\n result["+f+"] = getChannel(getX("+u.join()+"), "+c+");\n }\n ";d+=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 "+d+"\n setOutput(result);\n }\n "},L3=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Xv(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return X1({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new M3(a.shape,i,o):new D3(a.shape,i,o),l=[[o]];return n.runWebGLProgram(u,[a],a.dtype,l)},z3={kernelName:Mb,backendName:"webgl",kernelFunc:L3},P3=JQ({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 bvec4 isNaN1 = lessThan(a, vec4(0.0));\n bvec4 isNaN2 = lessThan(floor(b), b);\n bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n \n result.r = isNaN.r ? NAN : result.r;\n result.g = isNaN.g ? NAN : result.g;\n result.b = isNaN.b ? NAN : result.b;\n result.a = isNaN.a ? NAN : result.a;\n\n return result;\n"}),B3={kernelName:Lb,backendName:"webgl",kernelFunc:P3};var W3={kernelName:Pb,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=tg(o,i.shape),p=c,h=VS(p,u),d=i;if(null!=h&&(d=m$({inputs:{x:i},backend:r,attrs:{perm:h}}),p=GS(p.length,u),l.push(d)),WS("prod",p,u),r.shouldExecuteOnCPU([d])){var f=r.texData.get(d.dataId).values,m=qZ(d.shape,d.dtype,f,p),v=m.outVals,g=m.outShape,y=m.outDtype;t=r.makeTensorInfo(g,y,v)}else{var b=PS(d.shape,p),x=b[0],w=Xv(b[1]),k=i$({inputs:{x:d},backend:r,attrs:{shape:[-1,w]}}),N=l$(k,fk(i.dtype),"prod",r);t=i$({inputs:{x:N},backend:r,attrs:{shape:x}}),l.push(k),l.push(N)}if(s){l.push(t);var I=BS(t.shape,c);t=i$({inputs:{x:t},backend:r,attrs:{shape:I}})}return l.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var V3={kernelName:Bb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),l=a.map((function(e){return e.shape})),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=KZ(u,l,c,i.shape,i.dtype,p,o.shape,s),d=h[0],f=h[1],m=h[2],v=d.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(m,i.dtype,f);return v.concat([g])}};var U3={kernelName:Wb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=XZ(o,r.shape,r.dtype,s,a.shape,u,i.shape),c=l[0],p=l[1];return[n.makeTensorInfo([c.length],"int32",c),n.makeTensorInfo([p.length],r.dtype,p)]}};var G3={kernelName:Vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=s.map((function(e){return n.readSync(e.dataId)})),d=s.map((function(e){return e.shape})),f=YZ(l,a.shape,c,i.shape,i.dtype,p,o.shape,h,d,u),m=f[0],v=f[1];return n.makeTensorInfo(m,i.dtype,v)}},j3=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=JZ(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},H3={kernelName:Ub,backendName:"webgl",kernelFunc:j3},q3=YQ({opSnippet:"return 1.0 / x;"}),K3={kernelName:jb,backendName:"webgl",kernelFunc:q3},X3=YQ({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"}),Y3={kernelName:Hb,backendName:"webgl",kernelFunc:X3},J3=YQ({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"}),Z3={kernelName:Zb,backendName:"webgl",kernelFunc:J3},Q3=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 "},$3=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 e4={kernelName:Yb,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=Fg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new $3(a.shape,u,l,i,o):new Q3(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],"float32")}},t4=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,d=2*Math.ceil(p)+2,f=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("+d+");\n const int winWidth = int("+f+");\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 n4={kernelName:Jb,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 t4(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},r4=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 "},a4=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 i4={kernelName:Kb,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=Fg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new a4(a.shape,u,l,i,o):new r4(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],a.dtype)}},o4=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,d=2*Math.ceil(p)+2,f=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("+d+");\n const int winWidth = int("+f+");\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 s4={kernelName:Xb,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 o4(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},u4=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=PJ(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 "},l4=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=gQ("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=PJ(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 c4={kernelName:Qb,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=tg(i,a.shape);if(0===o)return BQ({inputs:{x:a},backend:n});var u=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new l4(a.shape,s):new u4(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},p4=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 "},h4={kernelName:Ux,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 p4(a.shape,o),c=A_(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)}},d4=YQ({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"}),f4={kernelName:$b,backendName:"webgl",kernelFunc:d4},m4=YQ({opSnippet:"return inversesqrt(x);",cpuKernelImpl:ZZ}),v4={kernelName:ex,backendName:"webgl",kernelFunc:m4},g4=function(e,t,n,r,a,i,o,s){void 0===o&&(o=!0),void 0===s&&(s=!1),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var u=PJ(a.length),l=PJ(i.length),c="";1===n?c="i":2===n&&(c="i, j");var p="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var d="getUpdates("+h+")",f="";s&&(f="coords[0], coords[1]");var m="getDefaultValue("+f+")",v=t>1?"strides[j]":"strides";this.userCode="\n "+u+" strides = "+u+"("+a+");\n\n void main() {\n "+l+" 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("+p+");\n flattenedIndex += index * "+v+";\n }\n if (flattenedIndex == coords[0]) {\n sum += "+d+";\n found = true;\n }\n }\n setOutput(mix("+m+", sum, float(found)));\n }\n "},y4=function(e,t,n,r,a,i,o,s){void 0===o&&(o=!0),void 0===s&&(s=!1),this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=i;var u=PJ(a.length),l=PJ(i.length),c="";1===n?c="i":2===n&&(c="i, j");var p="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var d="getUpdates("+h+")",f="";s&&(f="coords[0], coords[1]");var m="getDefaultValue("+f+")",v=t>1?"strides[j]":"strides",g=t>1?"strides[j + 1]":"strides";this.userCode="\n "+u+" strides = "+u+"("+a+");\n\n void main() {\n "+l+" coords = getOutputCoords();\n vec4 sum = vec4(0.);\n vec4 found = vec4(0.);\n for (int i = 0; i < "+e+"; i+=2) {\n ivec2 flattenedIndex = ivec2(0);\n for (int j = 0; j < "+t+"; j+=2) {\n ivec4 index = round("+p+");\n flattenedIndex += index.xz * "+v+";\n if (j + 1 < "+t+") {\n flattenedIndex += index.yw * "+g+";\n }\n }\n if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] ||\n flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) {\n vec4 updVals = "+d+";\n if (flattenedIndex[0] == coords[0]) {\n sum.xy += updVals.xy;\n found.xy = vec2(1.);\n } else if (flattenedIndex[0] == coords[0] + 1) {\n sum.zw += updVals.xy;\n found.zw = vec2(1.);\n }\n if (flattenedIndex[1] == coords[0]) {\n sum.xy += updVals.zw;\n found.xy = vec2(1.);\n } else if (flattenedIndex[1] == coords[0] + 1) {\n sum.zw += updVals.zw;\n found.zw = vec2(1.);\n }\n }\n }\n setOutput(mix("+m+", sum, found));\n }\n "};var b4={kernelName:tx,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=NE(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,d=[h/c,c];if(0===h)return n.makeTensorInfo(o,a.dtype);var f,m=i$({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),v=i$({inputs:{x:i},backend:n,attrs:{shape:[l,c]}}),g=n.makeTensorInfo([],"float32",new Float32Array([0]));f=Fg().getBool("WEBGL_PACK")?new y4(l,u,m.shape.length,v.shape.length,p,d):new g4(l,u,m.shape.length,v.shape.length,p,d);var y=n.runWebGLProgram(f,[v,m,g],v.dtype),b=i$({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(g),b}},x4=function(e,t,n,r){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];var a="for (int i = 0; i < "+Math.ceil(Math.log2(t+1))+"; ++i) { if (left >= right) break;",i=2===Fg().getNumber("WEBGL_VERSION")?"while (left < right) {":a,o="left"===r?"<":"<=";this.userCode="\n int findBound(int batch, float value) {\n int left = 0;\n int right = numInputs;\n int mid;\n "+i+"\n mid = (left + right) / 2;\n if (getSortedSequence(batch, mid) "+o+" value) {\n left = mid + 1;\n } else {\n right = mid;\n }\n }\n return right;\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int valueIndex = coords[1];\n\n float value = getValues(batch, valueIndex);\n\n setOutput(float(findBound(batch, value)));\n }\n "};var w4={kernelName:rx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sortedSequence,i=t.values,o=r.side,s=new x4(a.shape[0],a.shape[1],i.shape[1],o),u=[[a.shape[1]]];return n.runWebGLProgram(s,[a,i],"int32",u)}},k4=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=PJ(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 N4={kernelName:ax,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new k4(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],dk(a.dtype,i.dtype))}},I4=YQ({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"}),S4={kernelName:ix,backendName:"webgl",kernelFunc:I4},T4=YQ({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:$Z}),C4={kernelName:cx,backendName:"webgl",kernelFunc:T4},E4=YQ({opSnippet:"\n if (isnan(x)) { return 0.0; }\n return sign(x);\n"}),A4={kernelName:lx,backendName:"webgl",kernelFunc:E4},R4=YQ({opSnippet:"if (isnan(x)) return x;\n return sin(x);\n",packedOpSnippet:"\n vec4 result = sin(x);\n bvec4 isNaN = isnan(x);\n \n result.r = isNaN.r ? 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NAN : result.a;\n\n return result;\n"}),_4={kernelName:sx,backendName:"webgl",kernelFunc:R4},F4=YQ({opSnippet:"\n float e2x = exp(x);\n return (e2x - 1.0 / e2x) / 2.0;\n"}),O4={kernelName:ux,backendName:"webgl",kernelFunc:F4},D4=YQ({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"}),M4={kernelName:px,backendName:"webgl",kernelFunc:D4},L4={kernelName:fx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.paddings;Hv(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=L3({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),h=R_(p.shape,i,s,!1),d=__(h.length,i.length,!1),f=F_(p.shape,i,s,!1),m=i$({inputs:{x:p},backend:n,attrs:{shape:h}}),v=m$({inputs:{x:m},backend:n,attrs:{perm:d}}),g=i$({inputs:{x:v},backend:n,attrs:{shape:f}});return c.push(p),c.push(m),c.push(v),c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var z4={kernelName:gx,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=nQ(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],d=p[1],f=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(d,r.dtype,h),n.makeTensorInfo([d[0]],a.dtype,f),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var P4={kernelName:yx,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=rQ(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 B4={kernelName:bx,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=aQ(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var W4={kernelName:xx,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=aQ(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var V4={kernelName:wx,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=NE(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.sliceSize,h=u.strides,d=u.outputSize;if("string"===i.dtype){var f=n.bufferSync(a),m=n.bufferSync(i),v=jw(n.readSync(o.dataId)[0]),g=QZ(f,m,s,d,p,c,l,h,v,false);return n.makeTensorInfo(s,g.dtype,g.values)}var y=new g4(c,l,a.shape.length,i.shape.length,h,[d,1],false),b=n.runWebGLProgram(y,[i,a,o],i.dtype),x=i$({inputs:{x:b},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(b),x}};var U4={kernelName:mx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=tg(r.axis,a.shape)[0],s=iF(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=p0({inputs:{x:a},backend:n,attrs:{begin:l,size:t}});return l[o]+=e,r}))}},G4="return sqrt(x);",j4=YQ({opSnippet:G4,packedOpSnippet:G4,cpuKernelImpl:iQ}),H4={kernelName:hx,backendName:"webgl",kernelFunc:j4},q4={kernelName:Nx,backendName:"webgl",kernelFunc:YQ({opSnippet:"return x * x;"})},K4="return (a - b) * (a - b);",X4=JQ({opSnippet:K4,packedOpSnippet:K4}),Y4={kernelName:kx,backendName:"webgl",kernelFunc:X4};var J4={kernelName:Ix,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;if("string"!==a.dtype)throw new Error("Input must be of datatype string");var i=wF(n.readSync(a.dataId)),o=oQ(i,"string",r);return n.makeTensorInfo(a.shape,"string",o)}};var Z4={kernelName:Wx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=SQ+"\n return x > 0.0 ? 1.0 : float("+n.alpha+");\n ",o=new IQ(a.shape,i);return r.runWebGLProgram(o,[a],a.dtype)}},Q4=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=PJ(n.length),i=PJ(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 $4={kernelName:Sx,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.begin,s=a.end,u=a.strides,l=a.beginMask,c=a.endMask,p=a.ellipsisMask,h=a.newAxisMask,d=a.shrinkAxisMask,f=d_(i.shape,o,s,u,l,c,p,h,d),m=f.finalShapeSparse,v=f.finalShape,g=f.isIdentity,y=f.sliceDim0,b=f.isSimpleSlice,x=f.begin,w=f.end,k=f.strides;if(g)t=i$({inputs:{x:i},backend:r,attrs:{shape:v}});else if(y||b){Hv(i.shape.length>=1,(function(){return"Input must have rank at least 1, got: "+i.shape.length}));var N=t_(x,w,k),I=p0({inputs:{x:i},backend:r,attrs:{begin:x,size:N}});t=i$({inputs:{x:I},backend:r,attrs:{shape:v}}),r.disposeIntermediateTensorInfo(I)}else{if(r.shouldExecuteOnCPU([i])){var S=r.readSync(i.dataId),T=KN(i.shape,i.dtype,S),C=sQ(m,T,k,x);t=r.makeTensorInfo(v,i.dtype,C.values)}else{var E=new Q4(x,k,m);t=r.runWebGLProgram(E,[i],i.dtype)}}var A=i$({inputs:{x:t},backend:r,attrs:{shape:v}});return r.disposeIntermediateTensorInfo(t),A}};var e6={kernelName:Tx,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),d=n.readSync(p.dataId),f=uQ(h,d,a,i,o,s,u,l),m=f[0],v=f[1];return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(p.shape,"int32",v)]}};var t6={kernelName:Cx,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=lQ(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 n6={kernelName:Ex,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=cQ(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},r6=YQ({opSnippet:"return tan(x);"}),a6={kernelName:Rx,backendName:"webgl",kernelFunc:r6},i6=YQ({opSnippet:"\n float e2x = exp(-2.0 * abs(x));\n return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"});var o6={kernelName:nx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.tensor,i=t.indices,o=t.updates;!function(e){if(null==e)throw new TypeError("Cannot destructure undefined")}(r);var s=NE(0,i,a.shape),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,d=[h/c,c];if(0===h)return n.makeTensorInfo(a.shape,i.dtype);var f=i$({inputs:{x:i},backend:n,attrs:{shape:[l,u]}}),m=i$({inputs:{x:o},backend:n,attrs:{shape:[l,c]}}),v=i$({inputs:{x:a},backend:n,attrs:{shape:d}}),g=new g4(l,u,f.shape.length,m.shape.length,p,d,!1,!0),y=n.runWebGLProgram(g,[m,f,v],v.dtype),b=i$({inputs:{x:y},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(y),b}},s6=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=PJ(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 u6(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 jw(e)})):o,u=KN(a.shape,a.dtype,s),l=hQ(u,i);return n.makeTensorInfo(l.shape,l.dtype,l.values)}var c=new s6(a.shape,i);return n.runWebGLProgram(c,[a],a.dtype)}var l6=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 "},c6=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. 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>= 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 m6={kernelName:Dx,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],d=c[2],f=c[3],m=null!=l?l:[h,d],v=m[0],g=m[1],y=new f6(h,d,o,s,u,[p,v,g,f]);return n.runWebGLProgram(y,[a,i],"float32")}};var v6={kernelName:Lx,backendName:"webgl",kernelFunc:function(e){var 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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 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