spine/model/tf.min.js

/**
 * @license
 * Copyright 2021 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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f=Math.max(0,(c-1)*r+i-t),d=Math.max(0,(p-1)*a+o-n),m=Math.floor(f/2),v=f-m,g=Math.floor(d/2);l={top:m,bottom:v,left:g,right:d-g,type:"SAME"}}else if("valid"===e)l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-i+1)/r),p=Math.ceil((n-o+1)/a);else{if("object"!=typeof e)throw Error("Unknown padding parameter: "+e);var 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gS(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 yS(e){var t=dS(e),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function bS(e,t){return yS(e)||yS(t)}function xS(e){if("NHWC"===e)return"channelsLast";if("NCHW"===e)return"channelsFirst";throw new Error("Unknown dataFormat "+e)}var wS=kk({reshape_:function(e,t){var n={x:bk(e,"x","reshape","string_or_numeric")},r={shape:t};return ck.runKernel(zb,n,r)}});var kS=kk({avgPool_:function(e,t,n,r,a){var i=bk(e,"x","avgPool","float32");Wv(bS(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. 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")})),1===n.length)return SN(n[0]);var r=n,a={axis:t};return ck.runKernel(ay,r,a)}});var SS=kk({sigmoid_:function(e){var t={x:bk(e,"x","sigmoid")};return ck.runKernel($b,t)}});var TS=kk({slice_:function(e,t,n){var r=bk(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 ck.runKernel(Yb,a,i)}});var CS=kk({tanh_:function(e){var t={x:bk(e,"x","tanh")};return ck.runKernel(bx,t)}});var ES=kk({basicLSTMCell_:function(e,t,n,r,a,i){var o=bk(e,"forgetBias","basicLSTMCell"),s=bk(t,"lstmKernel","basicLSTMCell"),u=bk(n,"lstmBias","basicLSTMCell"),l=bk(r,"data","basicLSTMCell"),c=bk(a,"c","basicLSTMCell"),p=bk(i,"h","basicLSTMCell"),h=IS([l,p],1),f=HN(h,s),d=HI(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=TS(d,[0,0],g),b=TS(d,[0,v],g),x=TS(d,[0,2*v],g),w=TS(d,[0,3*v],g),k=HI(XI(SS(y),CS(b)),XI(c,SS(HI(o,x))));return[k,XI(CS(k),SS(w))]}});var RS=kk({batchToSpaceND_:function(e,t,n){var r=bk(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Wv(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Wv(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length})),Wv(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 ck.runKernel(Zg,i,o)}});var AS=kk({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=bk(e,"x","batchNorm"),l=bk(t,"mean","batchNorm"),c=bk(n,"variance","batchNorm");null!=a&&(o=bk(a,"scale","batchNorm")),null!=r&&(s=bk(r,"offset","batchNorm")),Wv(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Wv(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Wv(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p={x:function(e){return 0===e.rank||1===e.rank?wS(e,[1,1,1,e.size]):2===e.rank?wS(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?wS(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),scale:o,offset:s,mean:l,variance:c},h={varianceEpsilon:i},f=ck.runKernel(Py,p,h);return wS(f,u.shape)}});var FS=kk({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=bk(e,"x","batchNorm"),l=bk(t,"mean","batchNorm"),c=bk(n,"variance","batchNorm");return null!=a&&(o=bk(a,"scale","batchNorm")),null!=r&&(s=bk(r,"offset","batchNorm")),Wv(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Wv(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Wv(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&&Wv(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&&Wv(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),AS(u,l,c,s,o,i)}});var _S=kk({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=bk(e,"x","batchNorm"),l=bk(t,"mean","batchNorm"),c=bk(n,"variance","batchNorm");return null!=a&&(o=bk(a,"scale","batchNorm")),null!=r&&(s=bk(r,"offset","batchNorm")),Wv(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Wv(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Wv(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&&Wv(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&&Wv(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),AS(u,l,c,s,o,i)}});var DS=kk({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=bk(e,"x","batchNorm"),l=bk(t,"mean","batchNorm"),c=bk(n,"variance","batchNorm");return null!=a&&(o=bk(a,"scale","batchNorm")),null!=r&&(s=bk(r,"offset","batchNorm")),Wv(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Wv(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Wv(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&&Wv(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&&Wv(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),AS(u,l,c,s,o,i)}});var OS=kk({bincount_:function(e,t,n){var r=bk(e,"x","bincount"),a=bk(t,"weights","bincount");Wv("int32"===r.dtype,(function(){return"Error in bincount: input dtype must be int32, but got "+r.dtype})),Wv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Wv(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 ck.runKernel(Jg,i,o)}});var MS=kk({broadcastTo_:function(e,t){var n=bk(e,"broadcastTo","x"),r=n.shape;if(t.some((function(e){return!(e>0)||e%1!=0})))throw new Error("broadcastTo(): Invalid broadcast shape ["+t+"].");if(t.length<n.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+n.rank+".");if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=wS(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+t+"].");if(0===o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0})).length)return SN(n);var u={x:n},l={reps:o};return ck.runKernel(xx,u,l)}});var LS=kk({ceil_:function(e){var t={x:bk(e,"x","ceil")};return ck.runKernel(ey,t)}});var zS=kk({clipByValue_:function(e,t,n){var r=bk(e,"x","clipByValue");Wv(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."}));var a={x:r},i={clipValueMin:t,clipValueMax:n};return ck.runKernel(ty,a,i)}});var PS=kk({concat1d_:function(e){return IS(e,0)}});var BS=kk({concat2d_:function(e,t){return IS(e,t)}});var WS=kk({concat3d_:function(e,t){return IS(e,t)}});var VS=kk({concat4d_:function(e,t){return IS(e,t)}});var US=kk({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=bk(e,"x","conv2d"),u=bk(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=wS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Wv(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Wv(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),null!=o&&Wv(qv(r),(function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Wv(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Wv(bS(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=ck.runKernel(iy,h,f);return c?wS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var GS=kk({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=bk(e,"x","conv1d"),u=bk(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=wS(s,[1,s.shape[0],s.shape[1]])),Wv(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Wv(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=o&&Wv(qv(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."})),Wv(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]+"."})),Wv(bS(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Wv("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=wS(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=wS(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=US(h,p,[1,n],r,"NHWC",[1,i],o);return wS(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var jS=kk({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Wv(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=wS(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Wv(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Wv(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Wv(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];Wv(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Wv(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),null!=o&&Wv(qv(a),(function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+a+"."}));var h={dy:u,filter:n},f={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},d=ck.runKernel(sy,h,f);return l?wS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var HS=kk({conv2dTranspose_:function(e,t,n,r,a,i){var o=bk(e,"x","conv2dTranspose"),s=bk(t,"filter","conv2dTranspose");return jS(n,o,s,r,a,"NHWC",i)}});var qS=kk({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=bk(e,"x","conv3d"),s=bk(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=wS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Wv(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Wv(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Wv(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]+"."})),Wv(bS(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Wv("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=ck.runKernel(uy,c,p);return l?wS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var KS=kk({conv3DBackpropInput_:function(e,t,n,r,a){Wv(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=wS(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];Wv(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Wv(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Wv(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Wv(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Wv(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=ck.runKernel(cy,c,p);return s?wS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var XS=kk({conv3dTranspose_:function(e,t,n,r,a){var i=bk(e,"x","conv3dTranspose"),o=bk(t,"filter","conv3dTranspose");return KS(n,i,o,r,a)}});var YS=kk({cos_:function(e){var t={x:bk(e,"x","cos")};return ck.runKernel(py,t)}});var ZS=kk({cosh_:function(e){var t={x:bk(e,"x","cosh")};return ck.runKernel(hy,t)}});var JS=kk({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:bk(e,"x","cumsum")},i={axis:t,exclusive:n,reverse:r};return ck.runKernel(fy,a,i)}});var QS=kk({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=bk(e,"x","denseBincount"),i=bk(t,"weights","denseBincount");Wv("int32"===a.dtype,(function(){return"Error in denseBincount: input dtype must be int32, but got "+a.dtype})),Wv(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got rank "+a.rank+"."})),Wv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Wv(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 ck.runKernel(my,o,s)}});var $S=kk({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=bk(e,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];Wv(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})),Wv(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})),Wv(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 ck.runKernel(vy,s,u)}});var eT=kk({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=bk(e,"x","depthwiseConv2d"),u=bk(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=wS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Wv(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Wv(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."})),Wv(l.shape[3]===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."})),null!=o&&Wv(qv(r),(function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var p={x:l,filter:u},h={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=ck.runKernel(gy,p,h);return c?wS(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var tT=kk({diag_:function(e){var t={x:bk(e,"x","diag")};return ck.runKernel(xy,t)}});var nT=kk({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=bk(e,"x","dilation2d"),s=bk(t,"filter","dilation2d");Wv(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Wv(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Wv("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=wS(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=!0);var c={x:u,filter:s},p={strides:n,pad:r,dilations:a},h=ck.runKernel(wy,c,p);return l?wS(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});function rT(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 aT(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 iT(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var oT=kk({equal_:function(e,t){var n=bk(e,"a","equal","string_or_numeric"),r=bk(t,"b","equal","string_or_numeric"),a=ek(n,r);n=a[0],r=a[1],iT(n.shape,r.shape);var i={a:n,b:r};return ck.runKernel(Ry,i)}});var sT=kk({where_:function(e,t,n){var r=bk(t,"a","where"),a=bk(n,"b","where"),i=bk(e,"condition","where","bool"),o=iT(iT(i.shape,r.shape),a.shape),s={condition:MS(i,o),t:MS(r,o),e:MS(a,o)};return ck.runKernel(Kb,s)}});var uT=kk({zerosLike_:function(e){var t={x:bk(e,"x","zerosLike")};return ck.runKernel(Cx,t)}});var lT=kk({divNoNan_:function(e,t){var n=bk(e,"a","div"),r=bk(t,"b","div"),a=ek(n,r);n=a[0],r=a[1];var i=KI(n,r),o=uT(i),s=oT(r,o);return sT(s,o,i)}});var cT=kk({dot_:function(e,t){var n=bk(e,"t1","dot"),r=bk(t,"t2","dot");Wv(!(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(Wv(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=wS(n,[1,-1]),s=wS(r,[-1,1]),u=HN(o,s);return wS(u,[])}if(1===n.rank&&2===r.rank){var l=wS(n,[1,-1]),c=wS(r,[r.shape[0],r.shape[1]]),p=HN(l,c);return wS(p,[p.size])}if(2===n.rank&&1===r.rank){var h=wS(r,[-1,1]),f=HN(n,h);return wS(f,[f.size])}var d=wS(r,[r.shape[0],r.shape[1]]);return HN(n,d)}});var pT=kk({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 bk(e,"tensors"+t,"einsum")})),i={equation:e};return ck.runKernel(Sy,a,i)}});var hT=kk({elu_:function(e){var t={x:bk(e,"x","elu")};return ck.runKernel(Ty,t)}});var fT=kk({erf_:function(e){var t=bk(e,"x","erf");Wv("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=IN(t,"float32"));var n={x:t};return ck.runKernel(Ey,n)}});var dT=kk({exp_:function(e){var t={x:bk(e,"x","exp")};return ck.runKernel(Ay,t)}});var mT=kk({expandDims_:function(e,t){void 0===t&&(t=0);var n=bk(e,"x","expandDims","string_or_numeric");Wv(t<=n.rank,(function(){return"Axis must be <= rank of the 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t={x:bk(e,"x","floor")};return ck.runKernel(Ly,t)}});var wT=kk({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:bk(e,"x","gather"),indices:bk(t,"indices","gather","int32")},i={axis:n,batchDims:r};return ck.runKernel(By,a,i)}});var kT=kk({greater_:function(e,t){var n=bk(e,"a","greater","string_or_numeric"),r=bk(t,"b","greater","string_or_numeric"),a=ek(n,r);n=a[0],r=a[1],iT(n.shape,r.shape);var i={a:n,b:r};return ck.runKernel(Vy,i)}});var NT=kk({greaterEqual_:function(e,t){var n=bk(e,"a","greaterEqual","string_or_numeric"),r=bk(t,"b","greaterEqual","string_or_numeric"),a=ek(n,r);n=a[0],r=a[1],iT(n.shape,r.shape);var i={a:n,b:r};return ck.runKernel(Uy,i)}});var IT=kk({imag_:function(e){var t={input:bk(e,"input","imag")};return ck.runKernel(Hy,t)}});var ST=kk({isFinite_:function(e){var t={x:bk(e,"x","isFinite")};return ck.runKernel(qy,t)}});var TT=kk({isInf_:function(e){var t={x:bk(e,"x","isInf")};return ck.runKernel(Ky,t)}});var CT=kk({isNaN_:function(e){var t={x:bk(e,"x","isNaN")};return ck.runKernel(Xy,t)}});var ET=kk({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:bk(e,"x","leakyRelu")},r={alpha:t};return ck.runKernel(Yy,n,r)}});var RT=kk({less_:function(e,t){var n=bk(e,"a","less","string_or_numeric"),r=bk(t,"b","less","string_or_numeric"),a=ek(n,r);n=a[0],r=a[1],iT(n.shape,r.shape);var i={a:n,b:r};return ck.runKernel(Zy,i)}});var AT=kk({lessEqual_:function(e,t){var n=bk(e,"a","lessEqual","string_or_numeric"),r=bk(t,"b","lessEqual","string_or_numeric"),a=ek(n,r);n=a[0],r=a[1],iT(n.shape,r.shape);var i={a:n,b:r};return ck.runKernel(Jy,i)}});function FT(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 ck.runKernel(Qy,{},r)}var _T=kk({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=bk(e,"x","localResponseNormalization");Wv(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+i.rank+"."})),Wv(qv(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=wS(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=ck.runKernel(ib,u,l);return s?wS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var DT=kk({log_:function(e){var t={x:bk(e,"x","log")};return ck.runKernel($y,t)}});var OT=kk({log1p_:function(e){var t={x:bk(e,"x","log1p")};return ck.runKernel(eb,t)}});function MT(e,t){Wv(pg(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Wv(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof Zw})),(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=[],ck.registeredVariables)t.push(ck.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;Wv((t=t.filter((function(e){return e.trainable}))).length>0,(function(){return"variableGrads() expects at least one of the input variables to be trainable, but none of the "+i+" variables is trainable."}));var o=ck.gradients(e,t,null,!0),s=o.value,u=o.grads;Wv(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). 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Mode must be either reflect or symmetric. Got "+n+"."}));var r=bk(e,"x","mirrorPad");if(0===r.rank)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");Wv(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){Wv(2===t[e].length,(function(){return"Invalid number of paddings. 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Pass non-scalar to pad");var a={paddings:t,constantValue:n},i={x:r};return ck.runKernel(Rb,i,a)}});var IC=kk({pad1d_:function(e,t,n){return void 0===n&&(n=0),Wv(2===t.length,(function(){return"Invalid number of paddings. Must be length of 2."})),NC(e,[t],n)}});var SC=kk({pad2d_:function(e,t,n){return void 0===n&&(n=0),Wv(2===t.length&&2===t[0].length&&2===t[1].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),NC(e,t,n)}});var TC=kk({pad3d_:function(e,t,n){return void 0===n&&(n=0),Wv(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."})),NC(e,t,n)}});var CC=kk({pad4d_:function(e,t,n){return void 0===n&&(n=0),Wv(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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n=bk(e,"base","pow"),r=bk(t,"exp","pow"),a=ek(n,r),i={a:n=a[0],b:r=a[1]};return ck.runKernel(Ab,i)}});var FC=kk({prelu_:function(e,t){var n={x:bk(e,"x","prelu"),alpha:bk(t,"alpha","prelu")};return ck.runKernel(Fb,n)}});var _C=kk({prod_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=bk(e,"x","prod");"bool"===r.dtype&&(r=IN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return ck.runKernel(_b,a,i)}});var DC=kk({rand_:function(e,t,n){var r=jv(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return ck.makeTensor(a,e,n)}}),OC=n((function(e){!function(e,t,n){function r(e){var t,n=this,r=(t=4022871197,function(e){e=e.toString();for(var n=0;n<e.length;n++){var r=.02519603282416938*(t+=e.charCodeAt(n));r-=t=r>>>0,t=(r*=t)>>>0,t+=4294967296*(r-=t)}return 2.3283064365386963e-10*(t>>>0)});n.next=function(){var 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e=xv(regeneratorRuntime.mark((function e(t,n,r){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r={}),e.abrupt("return",lL(this,t,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",ZM(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],l=_v(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 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GL(e){if(null==e){var t={className:"linear",config:{}};return UL(t)}if("string"==typeof e){var n={};return n.className=e,n.config={},UL(n)}return e instanceof TL?e:UL(e)}function jL(e){if(null!=e&&"object"!=typeof e)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an object, but received: "+e)}WL.className="mish",EI(WL);var HL=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t}(TI),qL=function(e){function t(t){var n;return n=e.call(this)||this,jL(t),n.l1=null==t||null==t.l1?.01:t.l1,n.l2=null==t||null==t.l2?.01:t.l2,n.hasL1=0!==n.l1,n.hasL2=0!==n.l2,n}Nv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return BI((function(){var n=lC([1]);return t.hasL1&&(n=HI(n,GT(XI(t.l1,YI(e))))),t.hasL2&&(n=HI(n,GT(XI(t.l2,HD(e))))),n.asScalar()}))},n.getConfig=function(){return{l1:this.l1,l2:this.l2}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t}(HL);qL.className="L1L2",EI(qL);var KL={l1l2:"L1L2"};function XL(e){return K_(e)}function YL(e,t){return void 0===t&&(t={}),Y_(e,CI.getMap().classNameMap,t,"regularizer")}function ZL(e){return null==e?null:"string"==typeof e?YL({className:e in KL?KL[e]:e,config:{}}):e instanceof HL?e:YL(e)}var JL=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){e=SO(e);var n=JC(e);return null!=this.maxValue&&(n=zS(n,0,this.maxValue)),n},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);JL.className="ReLU",EI(JL);var QL=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SO(e);return ET(n,this.alpha)},n.computeOutputShape=function(e){return 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n,r=_v(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 _O({ndim:e.length,axes:a})],this.built=!0},n.call=function(e,t){return e=SO(e),FC(e,this.alpha.read())},n.getConfig=function(){var t={alphaInitializer:vO(this.alphaInitializer),alphaRegularizer:XL(this.alphaRegularizer),alphaConstraint:pD(this.alphaConstraint),sharedAxes:this.sharedAxes},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);$L.className="PReLU",EI($L);var ez=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new z_("Non-default alpha value ("+t.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SO(e);return hT(n)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);ez.className="ELU",EI(ez);var tz=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SO(e);return n.mul(OD(n.greater(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}(zO);tz.className="ThresholdedReLU",EI(tz);var nz=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 zL).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=SO(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}(zO);function rz(e,t,n){if("number"==typeof e)return B_(e,t);if(e.length!==t)throw new L_("The "+n+" argument must be an integer or tuple of "+t+" integers. 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u=lR({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=KN(u,[0,3,1,2])),u}))}function cz(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),BI((function(){if(null==i&&(i="channelsLast"),wD(i),4!==e.rank&&5!==e.rank)throw new L_("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new L_("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=sz(e,i);if("causal"===a)throw new z_("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=qS(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=KD(s,n)),"channelsFirst"===i&&(s=KN(s,[0,4,1,2,3])),s}))}nz.className="Softmax",EI(nz);var pz=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,tD(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new z_("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=rz(r.kernelSize,n,"kernelSize"),a.strides=rz(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,kD(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,wD(a.dataFormat),a.activation=GL(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=gO(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=fD(r.biasConstraint),a.biasRegularizer=ZL(r.biasRegularizer),a.activityRegularizer=ZL(r.activityRegularizer),a.dilationRate=rz(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new L_("dilationRate must be a number or an array of a 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t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:VL(this.activation),useBias:this.useBias,biasInitializer:vO(this.biasInitializer),biasRegularizer:XL(this.biasRegularizer),activityRegularizer:XL(this.activityRegularizer),biasConstraint:pD(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO),hz=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,tD(a.filters,"filters"),a.kernelInitializer=gO(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=fD(r.kernelConstraint),a.kernelRegularizer=ZL(r.kernelRegularizer),a}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TO(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new L_("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 BI((function(){var t;e=SO(e);var r=null==n.bias?null:n.bias.read(),a=rD(n.activation.getClassName());if(null!=a&&2===n.rank)t=lz(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=uz(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=lz(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new z_("convolutions greater than 3D are not implemented yet.");t=cz(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=TO(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=az(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:vO(this.kernelInitializer),kernelRegularizer:XL(this.kernelRegularizer),kernelConstraint:pD(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 L_("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(pz),fz=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!eD(e.kernelSize,"number",1,2))throw new L_("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(hz);fz.className="Conv2D",EI(fz);var dz=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new L_("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(hz);dz.className="Conv3D",EI(dz);var mz=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new _O({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new L_("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=TO(e)).length)throw new L_("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 L_("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 _O({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return BI((function(){var t=SO(e);if(4!==t.shape.length)throw new L_("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,iz(s,p,l,n.padding),iz(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=KN(t,[0,2,3,1]));var d=HS(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=KN(d,[0,3,1,2])),null!=n.bias&&(d=KD(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(e){var t,n,r,a=(e=TO(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]=iz(a[n],s,i,this.padding),a[r]=iz(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(fz);mz.className="Conv2DTranspose",EI(mz);var vz=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new _O({ndim:5})],"same"!==n.padding&&"valid"!==n.padding)throw new L_("Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if(5!==(e=TO(e)).length)throw new L_("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 L_("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 _O({ndim:5,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return BI((function(){var t=SO(e);if(5!==t.shape.length)throw new L_("Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],l=o[r],c=o[a],p=n.kernelSize[0],h=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],m=n.strides[1],v=n.strides[2],g=[s,iz(u,d,p,n.padding),iz(l,m,h,n.padding),iz(c,v,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=KN(t,[0,2,3,4,1]));var y=XS(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=KN(y,[0,4,1,2,3])),null!==n.bias&&(y=KD(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=TO(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]=iz(i[n],l,o,this.padding),i[r]=iz(i[r],c,s,this.padding),i[a]=iz(i[a],p,u,this.padding),i},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(dz);vz.className="Conv3DTranspose",EI(vz);var gz=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 L_("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new L_("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 L_("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=gO(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=ZL(n.depthwiseRegularizer),r.depthwiseConstraint=fD(n.depthwiseConstraint),r.pointwiseInitializer=gO(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=ZL(n.pointwiseRegularizer),r.pointwiseConstraint=fD(n.pointwiseConstraint),r}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=TO(e)).length<this.rank+2)throw new L_("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 L_("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 _O({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return BI((function(){var t;if(e=SO(e),1===n.rank)throw new z_("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=KN(e,[0,2,3,1])),t=uE(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=KD(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=KN(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=vO(this.depthwiseInitializer),t.pointwiseInitializer=vO(this.pointwiseInitializer),t.depthwiseRegularizer=XL(this.depthwiseRegularizer),t.pointwiseRegularizer=XL(this.pointwiseRegularizer),t.depthwiseConstraint=pD(this.depthwiseConstraint),t.pointwiseConstraint=pD(this.pointwiseConstraint),t},t}(hz);gz.className="SeparableConv";var yz=function(e){function t(t){return e.call(this,2,t)||this}return Nv(t,e),t}(gz);yz.className="SeparableConv2D",EI(yz);var bz=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Nv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!eD(e.kernelSize,"number",1,1))throw new L_("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(hz);bz.className="Conv1D",EI(bz);var xz=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},n.call=function(e,t){var n=this;return BI((function(){if(e=SO(e),"channelsLast"===n.dataFormat){var t=PD(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return PD(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=PD(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return PD(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}(zO);xz.className="Cropping2D",EI(xz);var wz=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,wD(n.dataFormat),n.interpolation=null==t.interpolation?"nearest":t.interpolation,r=n.interpolation,$_(vD,"InterpolationFormat",r),n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]},n.call=function(e,t){var n=this;return BI((function(){var t=SO(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=KN(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?t.resizeNearestNeighbor([a,i]):t.resizeBilinear([a,i]);return KN(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?t.resizeNearestNeighbor([s,u]):t.resizeBilinear([s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);wz.className="UpSampling2D",EI(wz);var kz=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=gO(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=fD(t.depthwiseConstraint),n.depthwiseRegularizer=ZL(t.depthwiseRegularizer),n}Nv(t,e);var n=t.prototype;return n.build=function(e){if((e=TO(e)).length<4)throw new L_("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 L_("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 BI((function(){e=SO(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"),BI((function(){null==o&&(o="channelsLast"),wD(o);var e=oz(t,o);if(4!==t.rank)throw new L_("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new L_("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=eT(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=KN(e,[0,3,1,2])),e})));return n.useBias&&(u=KD(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=TO(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=az(t,this.kernelSize[0],this.padding,this.strides[0]),i=az(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=vO(this.depthwiseInitializer),t.depthwiseRegularizer=XL(this.depthwiseRegularizer),t.depthwiseConstraint=pD(this.depthwiseRegularizer),t},t}(pz);function Nz(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new L_("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 Iz(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),BI((function(){var u=t.shape.length;if(u<3)throw new L_("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(DD(2,u));if(t=KN(t,l),null!=i)throw new z_("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===u-1&&(a=mT(a,-1)),a=KN(a,l)),r&&(t=$C(t,0),null!=a&&(a=$C(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=WE(t);null!=a&&(p=WE(a));for(var v,g=function(t){var n=m[t],r=BI((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=BI((function(){var e=p[t],n=wC(e).sub(e);return{output:r[0].mul(e).add(f[0].mul(n)),newStates:f.map((function(t,a){return r[1][a].mul(e).add(t.mul(n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)g(y);if(s){v=CE(h,1)}return[c,v,f]}))}kz.className="DepthwiseConv2D",EI(kz);var Sz=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new L_("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new Dz({cells:t.cell}):t.cell).stateSize)throw new L_("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 _O({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Nv(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?DD(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){NO(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a,i=[],o=_v(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 BI((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 z_("Constants support is not implemented in RNN yet.");NO(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new _O({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(!Hv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new L_("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 _O({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),BI((function(){if(!n.stateful)throw new O_("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new L_("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 lC([r,e])})):n.states_=[lC([r,n.cell.stateSize])];else if(null==e)WI(n.states_),null!=n.keptStates&&(WI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return lC([r,e])})):n.states_[0]=lC([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new L_("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()):WI(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(!Hv(i.shape,s))throw new L_("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 VI(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=Nz(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=_v(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new _O({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 DO){var p=[t].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=e.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return BI((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=SO(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 L_("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=Iz((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 BI((function(){var n=lC(e.shape);return n=MD(n=GT(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?VD(n,[1,e]):n})):t.cell.stateSize>1?[VD(n,[1,t.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var n=e.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(r.numConstants=this.numConstants);var a=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:a}),Object.assign({},a,n,r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=$O(t.cell,n);return new e(Object.assign(t,{cell:r}))},kv(t,[{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),t}(zO);Sz.className="RNN",EI(Sz);var Tz=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t}(zO),Cz=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,tD(n.units,"units"),n.activation=GL(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=gO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=gO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=gO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=ZL(t.kernelRegularizer),n.recurrentRegularizer=ZL(t.recurrentRegularizer),n.biasRegularizer=ZL(t.biasRegularizer),n.kernelConstraint=fD(t.kernelConstraint),n.recurrentConstraint=fD(t.recurrentConstraint),n.biasConstraint=fD(t.biasConstraint),n.dropout=FD([1,_D([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FD([1,_D([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){e=TO(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 BI((function(){if(2!==(e=e).length)throw new L_("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=Oz({ones:function(){return wC(e)},rate:n.dropout,training:i})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Oz({ones:function(){return wC(r)},rate:n.recurrentDropout,training:i}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=GD(null!=o?XI(e,o):e,n.kernel.read()),null!=n.bias&&(a=KD(a,n.bias.read())),null!=s&&(r=XI(r,s));var u=HI(a,GD(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:VL(this.activation),useBias:this.useBias,kernelInitializer:vO(this.kernelInitializer),recurrentInitializer:vO(this.recurrentInitializer),biasInitializer:vO(this.biasInitializer),kernelRegularizer:XL(this.kernelRegularizer),recurrentRegularizer:XL(this.recurrentRegularizer),biasRegularizer:XL(this.biasRegularizer),activityRegularizer:XL(this.activityRegularizer),kernelConstraint:pD(this.kernelConstraint),recurrentConstraint:pD(this.recurrentConstraint),biasConstraint:pD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,n)},t}(Tz);Cz.className="SimpleRNNCell",EI(Cz);var Ez=function(e){function t(t){return t.cell=new Cz(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return BI((function(){null!=r.cell.dropoutMask&&(WI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(WI(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}(Sz);Ez.className="SimpleRNN",EI(Ez);var Rz=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 L_("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,tD(n.units,"units"),n.activation=GL(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=GL(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=gO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=gO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=gO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=ZL(t.kernelRegularizer),n.recurrentRegularizer=ZL(t.recurrentRegularizer),n.biasRegularizer=ZL(t.biasRegularizer),n.kernelConstraint=fD(t.kernelConstraint),n.recurrentConstraint=fD(t.recurrentConstraint),n.biasConstraint=fD(t.biasConstraint),n.dropout=FD([1,_D([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FD([1,_D([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=TO(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 BI((function(){if(2!==(e=e).length)throw new L_("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=Oz({ones:function(){return wC(e)},rate:n.dropout,training:r,count:3})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Oz({ones:function(){return wC(a)},rate:n.recurrentDropout,training:r,count:3}));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=XI(e,u[0]));var c=GD(e,n.kernel.read());n.useBias&&(c=KD(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=XI(a,l[0]));var p=n.recurrentKernel.read(),h=kE(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=GD(a,f),v=kE(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=kE(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(HI(g,w)),o=n.recurrentActivation.apply(HI(y,k));var N=GD(XI(o,a),d);s=n.activation.apply(HI(b,N));var I=HI(XI(i,a),XI(HI(1,PT(i)),s));return[I,I]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:VL(this.activation),recurrentActivation:VL(this.recurrentActivation),useBias:this.useBias,kernelInitializer:vO(this.kernelInitializer),recurrentInitializer:vO(this.recurrentInitializer),biasInitializer:vO(this.biasInitializer),kernelRegularizer:XL(this.kernelRegularizer),recurrentRegularizer:XL(this.recurrentRegularizer),biasRegularizer:XL(this.biasRegularizer),activityRegularizer:XL(this.activityRegularizer),kernelConstraint:pD(this.kernelConstraint),recurrentConstraint:pD(this.recurrentConstraint),biasConstraint:pD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},t,n)},t}(Tz);Rz.className="GRUCell",EI(Rz);var Az=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 Rz(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return BI((function(){null!=r.cell.dropoutMask&&(WI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(WI(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}(Sz);Az.className="GRU",EI(Az);var Fz=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,tD(n.units,"units"),n.activation=GL(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=GL(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=gO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=gO(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=gO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=ZL(t.kernelRegularizer),n.recurrentRegularizer=ZL(t.recurrentRegularizer),n.biasRegularizer=ZL(t.biasRegularizer),n.kernelConstraint=fD(t.kernelConstraint),n.recurrentConstraint=fD(t.recurrentConstraint),n.biasConstraint=fD(t.biasConstraint),n.dropout=FD([1,_D([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FD([1,_D([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=TO(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new((t=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new eO).apply([i]),o=a.apply([2*i]);return WD(WD(n,r),o)},t}(QD)).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 BI((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new L_("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=Oz({ones:function(){return wC(e)},rate:n.dropout,training:r,count:4})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Oz({ones:function(){return wC(a)},rate:n.recurrentDropout,training:r,count:4}));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=XI(e,c[0]));var h=GD(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=XI(a,p[0])),h=HI(h,GD(a,n.recurrentKernel.read())),n.useBias&&(h=KD(h,n.bias.read()));var f=kE(h,4,h.rank-1),d=f[0],m=f[1],v=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=HI(XI(s,i),XI(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=XI(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:VL(this.activation),recurrentActivation:VL(this.recurrentActivation),useBias:this.useBias,kernelInitializer:vO(this.kernelInitializer),recurrentInitializer:vO(this.recurrentInitializer),biasInitializer:vO(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:XL(this.kernelRegularizer),recurrentRegularizer:XL(this.recurrentRegularizer),biasRegularizer:XL(this.biasRegularizer),activityRegularizer:XL(this.activityRegularizer),kernelConstraint:pD(this.kernelConstraint),recurrentConstraint:pD(this.recurrentConstraint),biasConstraint:pD(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},t,n)},t}(Tz);Fz.className="LSTMCell",EI(Fz);var _z=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 Fz(t),e.call(this,t)||this}return Nv(t,e),t.prototype.call=function(t,n){var r=this;return BI((function(){null!=r.cell.dropoutMask&&(WI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(WI(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}(Sz);_z.className="LSTM",EI(_z);var Dz=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}Nv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return BI((function(){for(var r,a=(e=e).slice(1),i=[],o=_v(n.cells.slice().reverse());!(r=o()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c){var p=n.cells[c];a=i[c],u=0===c?[e[0]].concat(a):[u[0]].concat(a),u=p.call(u,t),l.push(u.slice(1))}a=[];for(var h,f=_v(l.slice().reverse());!(h=f()).done;){var d,m=h.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;NO(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){SD("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign({},t,n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=_v(t.cells);!(r=i()).done;){var o=r.value;a.push($O(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=_v(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return AO(t)},n.setWeights=function(e){for(var t,n=[],r=_v(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]]);FO(n)},kv(t,[{key:"stateSize",get:function(){for(var e,t=[],n=_v(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=_v(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=_v(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=_v(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(Tz);function Oz(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=function(){return XD(t(),n)},u=function(){return YD(s,t,a)};return!o||o<=1?VI(u().clone()):Array(o).fill(void 0).map(u).map((function(e){return VI(e.clone())}))}Dz.className="StackedRNNCells",EI(Dz);var Mz=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},Lz=function(e){function t(t){var n;if(t.unroll)throw new z_("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new z_("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new _O({ndim:5})],n}Nv(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return BI((function(){if(null!=r.cell.dropoutMask&&(WI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(WI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new L_("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 BI((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=lC([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),BI((function(){if(!n.stateful)throw new O_("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 L_("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 lC(i)})):n.states_=[lC(i)];else if(null==e)WI(n.states_),null!=n.keptStates&&(WI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return lC(i)})):n.states_[0]=lC(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new L_("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()):WI(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Hv(s.shape,u))throw new L_("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 VI(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=az(l,a[0],i,o[0],s[0]),h=az(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(Sz);Lz.className="ConvRNN2D";var zz=function(e){function t(t){var n,r=t.filters,a=t.kernelSize,i=t.strides,o=t.padding,s=t.dataFormat,u=t.dilationRate;return(n=e.call(this,Object.assign({},t,{units:r}))||this).filters=r,tD(n.filters,"filters"),n.kernelSize=rz(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return tD(e,"kernelSize")})),n.strides=rz(i||1,2,"strides"),n.strides.forEach((function(e){return tD(e,"strides")})),n.padding=o||"valid",kD(n.padding),n.dataFormat=s||"channelsLast",wD(n.dataFormat),n.dilationRate=rz(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return tD(e,"dilationRate")})),n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TO(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new L_("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new((t=function(e){function t(){return e.apply(this,arguments)||this}return Nv(t,e),t.prototype.apply=function(e,t){return BD([s.apply([u]),cC([u]),s.apply([2*u])])},t}(QD)).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 BI((function(){if(3!==e.length)throw new L_("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=Oz({ones:function(){return wC(a)},rate:n.dropout,training:r,count:4}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?XI(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=Oz({ones:function(){return wC(i)},rate:n.recurrentDropout,training:r,count:4}));var f=n.recurrentDropoutMask,d=u(i,f,0),m=u(i,f,1),v=u(i,f,2),g=u(i,f,3),y=kE(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?kE(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=kE(n.recurrentKernel.read(),4,3),R=E[0],A=E[1],F=E[2],_=E[3];d=n.recurrentConv(d,R),m=n.recurrentConv(m,A),v=n.recurrentConv(v,F),g=n.recurrentConv(g,_);var D=n.recurrentActivation.apply(HI(l,d)),O=n.recurrentActivation.apply(HI(c,m)),M=HI(XI(O,o),XI(D,n.activation.apply(HI(p,v)))),L=XI(n.recurrentActivation.apply(HI(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,Mz(t,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,r)},n.inputConv=function(e,t,n,r){var a=US(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?KD(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return US(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(Fz);zz.className="ConvLSTM2DCell",EI(zz);var Pz=function(e){function t(t){var n=new zz(t);return e.call(this,Object.assign({},t,{cell:n}))||this}return Nv(t,e),t.fromConfig=function(e,t){return new e(t)},t}(Lz);Pz.className="ConvLSTM2D",EI(Pz);var Bz=function(e){function t(t){var n;return(n=e.call(this,t)||this).rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},n.call=function(e,t){var n=this;return BI((function(){n.invokeCallHook(e,t);var r=SO(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return YD((function(){return XD(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}(zO);Bz.className="Dropout",EI(Bz);var Wz=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return Nv(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(Bz);Wz.className="SpatialDropout1D",EI(Wz);var Vz=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,tD(n.units,"units"),n.activation=GL(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=gO(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=gO(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=fD(t.kernelConstraint),n.biasConstraint=fD(t.biasConstraint),n.kernelRegularizer=ZL(t.kernelRegularizer),n.biasRegularizer=ZL(t.biasRegularizer),n.activityRegularizer=ZL(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=TO(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=TO(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return BI((function(){n.invokeCallHook(e,t);var r,a=SO(e),i=rD(n.activation.getClassName());return null!=i?r=GD(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=GD(a,n.kernel.read()),null!=n.bias&&(r=KD(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:VL(this.activation),useBias:this.useBias,kernelInitializer:vO(this.kernelInitializer),biasInitializer:vO(this.biasInitializer),kernelRegularizer:XL(this.kernelRegularizer),biasRegularizer:XL(this.biasRegularizer),activityRegularizer:XL(this.activityRegularizer),kernelConstraint:pD(this.kernelConstraint),biasConstraint:pD(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);Vz.className="Dense",EI(Vz);var Uz=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=_v((e=TO(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new L_('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). 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a=[],i=0;i<e.length;++i)null==t[i]?a.push(wC(e[i]).asType("bool")):t[i].rank<e[i].rank?a.push(mT(t[i],-1)):a.push(t[i]);var o=IS(a,n.axis);return $I(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Yz);function nP(e,t){for(;e<0;)e+=t;return e}tP.className="Concatenate",EI(tP);var rP=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}Nv(t,e);var n=t.prototype;return n.build=function(e){Wv(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 z_("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 L_("Dimension incompatibility: "+t[r[0]]+" !== 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n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=e.reshape(e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e.mul(t).sum(i[0]):e.transpose([1,0]).mul(t).sum(i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=e.matMul(t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=o.squeeze(d)}return 1===o.shape.length&&(o=o.expandDims(1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[nP(this.axes,e.length),nP(this.axes,t.length)]},n.computeOutputShape=function(e){Wv(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 z_("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}(Yz);rP.className="Dot",EI(rP);var aP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return BI((function(){n.invokeCallHook(e,t);var r=SO(e);return YD((function(){return UD(r.shape,0,n.stddev).add(r)}),(function(){return r}),t.training||!1)}))},t}(zO);aP.className="GaussianNoise",EI(aP);var iP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return BI((function(){n.invokeCallHook(e,t);var r=SO(e);if(n.rate>0&&n.rate<1){return YD((function(){var e=Math.sqrt(n.rate/(1-n.rate));return r.mul(UD(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(zO);iP.className="GaussianDropout",EI(iP);var oP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}Nv(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||SO(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 BI((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return YD((function(){var t=SO(e),a=-1.7580993408473766,i=NT(KC(r),n.rate);i=OD(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return t.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)}),(function(){return SO(e)}),t.training||!1)}return e}))},t}(zO);function sP(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=FS(e,t,n,r,a,i);else if(3===e.rank)o=_S(e,t,n,r,a,i);else{if(4!==e.rank)throw new z_("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=DS(e,t,n,r,a,i)}return o}function uP(e,t,n,r,a){return void 0===a&&(a=.001),Hv(r.slice().sort(),DD(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),BI((function(){var i=gC(e,r),o=i.mean,s=i.variance;return[sP(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),BI((function(){for(var i,o=gC(e,r),s=o.mean,u=o.variance,l=[],c=_v(DD(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),f=u.reshape(l),d=null==t?null:t.reshape(l),m=null==n?null:n.reshape(l);return[sP(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}oP.className="AlphaDropout",EI(oP);var lP=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=gO(t.betaInitializer||"zeros"),n.gammaInitializer=gO(t.gammaInitializer||"ones"),n.movingMeanInitializer=gO(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=gO(t.movingVarianceInitializer||"ones"),n.betaConstraint=fD(t.betaConstraint),n.gammaConstraint=fD(t.gammaConstraint),n.betaRegularizer=ZL(t.betaRegularizer),n.gammaRegularizer=ZL(t.gammaRegularizer),n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t;e=TO(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new L_("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new _O({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 BI((function(){var r=null!=t.training&&t.training,a=SO(e),i=a.shape,o=i.length,s=DD(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=B_(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Hv(c,DD(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(l),t=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return sP(a,e,t,r,i,n.epsilon)}return sP(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=uP(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){BI((function(){var r=1-n,a=e.read(),i=a.sub(t).mul(r);e.write(a.sub(i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),f}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:vO(this.betaInitializer),gammaInitializer:vO(this.gammaInitializer),movingMeanInitializer:vO(this.movingMeanInitializer),movingVarianceInitializer:vO(this.movingVarianceInitializer),betaRegularizer:XL(this.betaRegularizer),gammaRegularizer:XL(this.gammaRegularizer),betaConstraint:pD(this.betaConstraint),gammaConstraint:pD(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);lP.className="BatchNormalization",EI(lP);var cP=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=_v(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=gO(t.betaInitializer||"zeros"),n.gammaInitializer=gO(t.gammaInitializer||"ones"),n.betaRegularizer=ZL(t.betaRegularizer),n.gammaRegularizer=ZL(t.gammaRegularizer),n.supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=TO(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=_v(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==J_(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=SO(e),a=r.shape,i=a.length;return BI((function(){for(var e,t=gC(r,n.axis,!0),o=t.mean,s=t.variance,u=B_(1,i),l=_v(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&&n.axis!==[i-1]?e.reshape(u):e},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(d.push(a[v]),m.push(1)):(d.push(1),m.push(a[v]));return o=o.tile(d),s=s.tile(d),h=h.tile(m),f=f.tile(m),sP(r,o,s,f,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:vO(this.betaInitializer),gammaInitializer:vO(this.gammaInitializer),betaRegularizer:XL(this.betaRegularizer),gammaRegularizer:XL(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(zO);cP.className="LayerNormalization",EI(cP);var pP=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 L_("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 L_("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 L_("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 _O({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=TO(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 BI((function(){return t=SO(e),r=n.padding,a=n.dataFormat,BI((function(){if(4!==t.rank)throw new L_("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 L_("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 L_("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]],NC(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}(zO);function hP(e,t,n,r,a,i){return BI((function(){var o;wD(a),ND(i),kD(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=oz(e,a);var s="same"===r?"same":"valid";return o="max"===i?aC(e,t,n,s):kS(e,t,n,s),"channelsFirst"===a&&(o=KN(o,[0,3,1,2])),o}))}function fP(e,t,n,r,a,i){return BI((function(){var o;wD(a),ND(i),kD(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=sz(e,a);var s="same"===r?"same":"valid";return o="max"===i?iC(e,t,n,s):NS(e,t,n,s),"channelsFirst"===a&&(o=KN(o,[0,4,1,2,3])),o}))}pP.className="ZeroPadding2D",EI(pP);var dP=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 L_("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(tD(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 L_("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 tD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,kD(n.padding),n.inputSpec=[new _O({ndim:3})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=az((e=TO(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 BI((function(){n.invokeCallHook(e,t),e=MD(SO(e),2);var r=n.poolingFunction(SO(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return TE(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}(zO),mP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),hP(e,t,n,r,a,"max")},t}(dP);mP.className="MaxPooling1D",EI(mP);var vP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),hP(e,t,n,r,a,"avg")},t}(dP);vP.className="AveragePooling1D",EI(vP);var gP=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 L_("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 tD(n.poolSize,"poolSize"),tD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,wD(n.dataFormat),kD(n.padding),n.inputSpec=[new _O({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=TO(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=az(t,this.poolSize[0],this.padding,this.strides[0]),n=az(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 BI((function(){return n.invokeCallHook(e,t),n.poolingFunction(SO(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}(zO),yP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),hP(e,t,n,r,a,"max")},t}(gP);yP.className="MaxPooling2D",EI(yP);var bP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),hP(e,t,n,r,a,"avg")},t}(gP);bP.className="AveragePooling2D",EI(bP);var xP=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 L_("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 tD(n.poolSize,"poolSize"),tD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,wD(n.dataFormat),kD(n.padding),n.inputSpec=[new _O({ndim:5})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=TO(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=az(t,this.poolSize[0],this.padding,this.strides[0]),n=az(n,this.poolSize[1],this.padding,this.strides[1]),r=az(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 BI((function(){return n.invokeCallHook(e,t),n.poolingFunction(SO(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}(zO),wP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),fP(e,t,n,r,a,"max")},t}(xP);wP.className="MaxPooling3D",EI(wP);var kP=function(e){function t(t){return e.call(this,t)||this}return Nv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return wD(a),kD(r),fP(e,t,n,r,a,"avg")},t}(xP);kP.className="AveragePooling3D",EI(kP);var NP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new _O({ndim:3})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new z_},t}(zO),IP=function(e){function t(t){return e.call(this,t||{})||this}return Nv(t,e),t.prototype.call=function(e,t){return BI((function(){var t=SO(e);return uC(t,1)}))},t}(NP);IP.className="GlobalAveragePooling1D",EI(IP);var SP=function(e){function t(t){return e.call(this,t||{})||this}return Nv(t,e),t.prototype.call=function(e,t){return BI((function(){var t=SO(e);return VT(t,1)}))},t}(NP);SP.className="GlobalMaxPooling1D",EI(SP);var TP=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,wD(n.dataFormat),n.inputSpec=[new _O({ndim:4})],n}Nv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new 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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=$O(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},kv(t,[{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}}]),t}(zO),AP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}Nv(t,e);var n=t.prototype;return 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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?121:"TensorListStack"===e.t0?127:"TensorListFromTensor"===e.t0?133:"TensorListConcat"===e.t0?139:"TensorListPushBack"===e.t0?144:"TensorListPopBack"===e.t0?149:"TensorListSplit"===e.t0?154:160;break;case 3:return a=QP("thenBranch",t,n,r),i=QP("elseBranch",t,n,r),o=QP("cond",t,n,r),s=QP("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return e.delegateYield(regeneratorRuntime.mark((function e(){var a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=QP("body",t,n,r),i=QP("cond",t,n,r),o=QP("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:l=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),c=o,p=regeneratorRuntime.mark((function e(){var t,n,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=c,e.next=3,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 3:return c=e.sent,n=c.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:l=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!l[0]){e.next=17;break}return e.delegateYield(p(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:c});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!=typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return l=QP("pred",t,n,r),e.abrupt("return",[aB(l)]);case 21:return c=QP("pred",t,n,r),(p=QP("data",t,n,r)).kept||(p=aB(p)),e.next=26,c.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 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A=QP("tensorArrayId",t,n,r),F=QP("index",t,n,r),_=r.getTensorArray(A.id),e.abrupt("return",[_.read(F)]);case 67:return D=QP("tensorArrayId",t,n,r),O=QP("indices",t,n,r),M=QP("dtype",t,n,r),L=r.getTensorArray(D.id),e.abrupt("return",[L.gather(O,M)]);case 72:return z=QP("tensorArrayId",t,n,r),P=QP("indices",t,n,r),B=QP("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(P,B),e.abrupt("return",[W.idTensor]);case 78:return V=QP("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=QP("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=QP("tensorArrayId",t,n,r),H=QP("tensor",t,n,r),q=QP("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=QP("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[oE(Y.size(),"int32")]);case 91:return Z=QP("tensorArrayId",t,n,r),(J=r.getTensorArray(Z.id)).clearAndClose(),e.abrupt("return",[J.idTensor]);case 95:return Q=QP("tensorListId",t,n,r),$=QP("index",t,n,r),ee=QP("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=QP("tensorListId",t,n,r),re=QP("index",t,n,r),ae=QP("elementShape",t,n,r),ie=QP("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=QP("indices",t,n,r),ue=QP("tensor",t,n,r),le=QP("elementShape",t,n,r),ce=QP("numElements",t,n,r),pe=YB(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=QP("elementShape",t,n,r),fe=QP("elementDType",t,n,r),de="TensorListReserve"===t.op?"numElements":"maxNumElements",me=QP(de,t,n,r),ve=XB(he,fe,me),r.addTensorList(ve),e.abrupt("return",[ve.idTensor]);case 121:return ge=QP("tensorListId",t,n,r),ye=QP("indices",t,n,r),be=QP("elementShape",t,n,r),xe=QP("elementDType",t,n,r),we=r.getTensorList(ge.id),e.abrupt("return",[we.gather(ye,xe,be)]);case 127:return ke=QP("tensorListId",t,n,r),Ne=QP("elementShape",t,n,r),Ie=QP("elementDType",t,n,r),Se=QP("numElements",t,n,r),Te=r.getTensorList(ke.id),e.abrupt("return",[Te.stack(Ne,Ie,Se)]);case 133:return Ce=QP("tensor",t,n,r),Ee=QP("elementShape",t,n,r),Re=QP("elementDType",t,n,r),Ae=KB(Ce,Ee,Re),r.addTensorList(Ae),e.abrupt("return",[Ae.idTensor]);case 139:return Fe=QP("tensorListId",t,n,r),_e=r.getTensorList(Fe.id),De=QP("dtype",t,n,r),Oe=QP("elementShape",t,n,r),e.abrupt("return",[_e.concat(De,Oe)]);case 144:return Me=QP("tensorListId",t,n,r),Le=QP("tensor",t,n,r),(ze=r.getTensorList(Me.id)).pushBack(Le),e.abrupt("return",[ze.idTensor]);case 149:return Pe=QP("tensorListId",t,n,r),Be=QP("elementShape",t,n,r),We=QP("elementDType",t,n,r),Ve=r.getTensorList(Pe.id),e.abrupt("return",[Ve.popBack(Be,We)]);case 154:return Ue=QP("tensor",t,n,r),Ge=QP("elementShape",t,n,r),je=QP("lengths",t,n,r),He=ZB(Ue,je,Ge),r.addTensorList(He),e.abrupt("return",[He.idTensor]);case 160:throw TypeError("Node type 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$B(e,t,n){return{boxes:QP("boxes",e,t,n),scores:QP("scores",e,t,n),maxOutputSize:QP("maxOutputSize",e,t,n),iouThreshold:QP("iouThreshold",e,t,n),scoreThreshold:QP("scoreThreshold",e,t,n),softNmsSigma:QP("softNmsSigma",e,t,n)}}var eW=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,C;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?3:"NonMaxSuppressionV4"===e.t0?8:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?14:"Where"===e.t0?19:"ListDiff"===e.t0?26:27;break;case 3:return a=$B(t,n,r),i=a.boxes,o=a.scores,s=a.maxOutputSize,u=a.iouThreshold,l=a.scoreThreshold,c=a.softNmsSigma,e.next=6,dA.nonMaxSuppressionWithScoreAsync(i,o,s,u,l,c);case 6:return p=e.sent,e.abrupt("return",[p.selectedIndices,p.selectedScores]);case 8:return h=$B(t,n,r),f=h.boxes,d=h.scores,m=h.maxOutputSize,v=h.iouThreshold,g=h.scoreThreshold,y=QP("padToMaxOutputSize",t,n,r),e.next=12,dA.nonMaxSuppressionPaddedAsync(f,d,m,v,g,y);case 12:return b=e.sent,e.abrupt("return",[b.selectedIndices,b.validOutputs]);case 14:return x=$B(t,n,r),w=x.boxes,k=x.scores,N=x.maxOutputSize,I=x.iouThreshold,S=x.scoreThreshold,e.next=17,dA.nonMaxSuppressionAsync(w,k,N,I,S);case 17:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 19:return T=IN(QP("condition",t,n,r),"bool"),e.next=22,jE(T);case 22:return e.t2=e.sent,C=[e.t2],T.dispose(),e.abrupt("return",C);case 26:return e.abrupt("return",cE(QP("x",t,n,r),QP("y",t,n,r)));case 27:throw TypeError("Node type "+t.op+" is not implemented");case 28:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}(),tW=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=oE(0),this.tensorMap=new Map,VI(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 oE(this.size(),"int32")},t.import=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",BI((function(){var e=WE(n),t=r.length,i=e.length;Wv(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];VI(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.find=function(){var e=xv(regeneratorRuntime.mark((function e(t,n){var r,a=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",BI((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return CE(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.findWithDefault=function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t},t.checkKeyAndValueTensor=function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+e.dtype);if(t.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+t.dtype)},kv(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),nW=function(){var e=xv(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?8:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?16:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?24:27;break;case 3:return i=QP("keyDType",t,n,r),o=QP("valueDType",t,n,r),s=new tW(i,o),a.addHashTable(t.name,s),e.abrupt("return",[s.handle]);case 8:return u=QP("tableHandle",t,n,r,a),l=QP("keys",t,n,r),c=QP("values",t,n,r),p=a.getHashTableById(u.id),e.next=14,p.import(l,c);case 14:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 16:return h=QP("tableHandle",t,n,r,a),f=QP("keys",t,n,r),d=QP("defaultValue",t,n,r),m=a.getHashTableById(h.id),e.next=22,m.find(f,d);case 22:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 24:return v=QP("tableHandle",t,n,r,a),g=a.getHashTableById(v.id),e.abrupt("return",[g.tensorSize()]);case 27:throw TypeError("Node type "+t.op+" is not implemented");case 28:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function rW(e,t,n,r){var a=function(e,t,n){switch(e.category){case"arithmetic":return BI((function(){return function(e,t,n){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[HI(QP("a",e,t,n),QP("b",e,t,n))];case"AddN":return[QI(QP("tensors",e,t,n))];case"FloorMod":case"Mod":return[mC(QP("a",e,t,n),QP("b",e,t,n))];case"Mul":return[XI(QP("a",e,t,n),QP("b",e,t,n))];case"RealDiv":case"Div":return[KI(QP("a",e,t,n),QP("b",e,t,n))];case"DivNoNan":return[lT(QP("a",e,t,n),QP("b",e,t,n))];case"FloorDiv":return[qI(QP("a",e,t,n),QP("b",e,t,n))];case"Sub":return[UT(QP("a",e,t,n),QP("b",e,t,n))];case"Minimum":return[fC(QP("a",e,t,n),QP("b",e,t,n))];case"Maximum":return[sC(QP("a",e,t,n),QP("b",e,t,n))];case"Pow":return[AC(QP("a",e,t,n),QP("b",e,t,n))];case"SquaredDifference":return[SE(QP("a",e,t,n),QP("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return BI((function(){return function(e,t,n){switch(e.op){case"Abs":case"ComplexAbs":return[YI(QP("x",e,t,n))];case"Acos":return[ZI(QP("x",e,t,n))];case"Acosh":return[JI(QP("x",e,t,n))];case"Asin":return[rS(QP("x",e,t,n))];case"Asinh":return[aS(QP("x",e,t,n))];case"Atan":return[iS(QP("x",e,t,n))];case"Atan2":return[oS(QP("x",e,t,n),QP("y",e,t,n))];case"Atanh":return[sS(QP("x",e,t,n))];case"Ceil":return[LS(QP("x",e,t,n))];case"Complex":return[Nk(QP("real",e,t,n),QP("imag",e,t,n))];case"Cos":return[YS(QP("x",e,t,n))];case"Cosh":return[ZS(QP("x",e,t,n))];case"Elu":return[hT(QP("x",e,t,n))];case"Erf":return[fT(QP("x",e,t,n))];case"Exp":return[dT(QP("x",e,t,n))];case"Expm1":return[vT(QP("x",e,t,n))];case"Floor":return[xT(QP("x",e,t,n))];case"Log":return[DT(QP("x",e,t,n))];case"Log1p":return[OT(QP("x",e,t,n))];case"Imag":return[IT(QP("x",e,t,n))];case"Neg":return[PT(QP("x",e,t,n))];case"Reciprocal":return[ZC(QP("x",e,t,n))];case"Real":return[YC(QP("x",e,t,n))];case"Relu":return[JC(QP("x",e,t,n))];case"Round":return[aE(QP("x",e,t,n))];case"Selu":return[sE(QP("x",e,t,n))];case"Sigmoid":return[SS(QP("x",e,t,n))];case"Sin":return[hE(QP("x",e,t,n))];case"Sign":return[pE(QP("x",e,t,n))];case"Sinh":return[fE(QP("x",e,t,n))];case"Softplus":return[BT(QP("x",e,t,n))];case"Sqrt":return[IE(QP("x",e,t,n))];case"Square":return[vC(QP("x",e,t,n))];case"Tanh":return[CS(QP("x",e,t,n))];case"Tan":return[AE(QP("x",e,t,n))];case"ClipByValue":return[zS(QP("x",e,t,n),QP("clipValueMin",e,t,n),QP("clipValueMax",e,t,n))];case"Relu6":return[QC(QP("x",e,t,n))];case"Rsqrt":return[iE($P(e.inputNames[0],t,n))];case"Prod":return[_C(QP("x",e,t,n),QP("axes",e,t,n))];case"LeakyRelu":return[ET(QP("x",e,t,n),QP("alpha",e,t,n))];case"Prelu":return[FC(QP("x",e,t,n),QP("alpha",e,t,n))];case"IsNan":return[CT($P(e.inputNames[0],t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return JB(e,t,n);case"convolution":return BI((function(){return function(e,t,n){switch(e.op){case"Conv1D":var r=QP("stride",e,t,n),a=QP("pad",e,t,n),i=QP("dataFormat",e,t,n).toUpperCase(),o=QP("dilation",e,t,n);return[GS(QP("x",e,t,n),QP("filter",e,t,n),r,a,i,o)];case"Conv2D":var s=QP("strides",e,t,n),u=rB(e,t,n),l=QP("dataFormat",e,t,n).toUpperCase(),c=QP("dilations",e,t,n);return[US(QP("x",e,t,n),QP("filter",e,t,n),[s[1],s[2]],u,l,[c[1],c[2]])];case"_FusedConv2D":var p=QB(e,t,n),h=p.stride,f=p.pad,d=p.dataFormat,m=p.dilations,v=p.biasArg,g=p.preluArg,y=p.activationFunc,b=p.leakyreluAlpha;return[lR({x:QP("x",e,t,n),filter:QP("filter",e,t,n),strides:[h[1],h[2]],pad:f,dataFormat:d,dilations:[m[1],m[2]],bias:v,activation:y,preluActivationWeights:g,leakyreluAlpha:b})];case"FusedDepthwiseConv2dNative":var x=QB(e,t,n),w=x.stride,k=x.pad,N=x.dataFormat,I=x.dilations,S=x.biasArg,T=x.preluArg,C=x.activationFunc,E=x.leakyreluAlpha;return[hR({x:QP("x",e,t,n),filter:QP("filter",e,t,n),strides:[w[1],w[2]],pad:k,dataFormat:N,dilations:[I[1],I[2]],bias:S,activation:C,preluActivationWeights:T,leakyreluAlpha:E})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=QP("outputShape",e,t,n),A=QP("strides",e,t,n),F=rB(e,t,n);return[HS(QP("x",e,t,n),QP("filter",e,t,n),R,[A[1],A[2]],F)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var _=QP("strides",e,t,n),D=rB(e,t,n),O=QP("dilations",e,t,n),M=QP("dataFormat",e,t,n).toUpperCase();return[eT(QP("input",e,t,n),QP("filter",e,t,n),[_[1],_[2]],D,M,[O[1],O[2]])];case"Conv3D":var L=QP("strides",e,t,n),z=QP("pad",e,t,n),P=QP("dataFormat",e,t,n).toUpperCase(),B=QP("dilations",e,t,n);return[qS(QP("x",e,t,n),QP("filter",e,t,n),[L[1],L[2],L[3]],z,P,[B[1],B[2],B[3]])];case"AvgPool":var W=QP("strides",e,t,n),V=QP("pad",e,t,n),U=QP("kernelSize",e,t,n);return[kS(QP("x",e,t,n),[U[1],U[2]],[W[1],W[2]],V)];case"MaxPool":var G=QP("strides",e,t,n),j=QP("pad",e,t,n),H=QP("kernelSize",e,t,n);return[aC(QP("x",e,t,n),[H[1],H[2]],[G[1],G[2]],j)];case"MaxPoolWithArgmax":var q=QP("strides",e,t,n),K=QP("pad",e,t,n),X=QP("kernelSize",e,t,n),Y=QP("includeBatchInIndex",e,t,n),Z=oC(QP("x",e,t,n),[X[1],X[2]],[q[1],q[2]],K,Y);return[Z.result,Z.indexes];case"AvgPool3D":var J=QP("strides",e,t,n),Q=QP("pad",e,t,n),$=QP("kernelSize",e,t,n);return[NS(QP("x",e,t,n),[$[1],$[2],$[3]],[J[1],J[2],J[3]],Q)];case"MaxPool3D":var ee=QP("strides",e,t,n),te=QP("pad",e,t,n),ne=QP("kernelSize",e,t,n);return[iC(QP("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"Dilation2D":var re=QP("strides",e,t,n),ae=QP("pad",e,t,n),ie=QP("dilations",e,t,n),oe=re[1],se=re[2],ue=ie[1],le=ie[2];return[nT(QP("x",e,t,n),QP("filter",e,t,n),[oe,se],ae,[ue,le],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return BI((function(){return function(e,t,n){switch(e.op){case"Fill":var r=QP("shape",e,t,n),a=QP("dtype",e,t,n);return[bT(r,QP("value",e,t,n),a)];case"LinSpace":return[FT(QP("start",e,t,n),QP("stop",e,t,n),QP("num",e,t,n))];case"Multinomial":var i=QP("logits",e,t,n),o=QP("numSamples",e,t,n),s=QP("seed",e,t,n);return[bC(i,o,s)];case"OneHot":var u=QP("indices",e,t,n),l=QP("depth",e,t,n),c=QP("onValue",e,t,n),p=QP("offValue",e,t,n);return[qN(u,l,c,p)];case"Ones":return[cC(QP("shape",e,t,n),QP("dtype",e,t,n))];case"OnesLike":return[wC(QP("x",e,t,n))];case"RandomUniform":return[KC(QP("shape",e,t,n),QP("minval",e,t,n),QP("maxval",e,t,n),QP("dtype",e,t,n))];case"Range":return[XC(QP("start",e,t,n),QP("stop",e,t,n),QP("step",e,t,n),QP("dtype",e,t,n))];case"TruncatedNormal":var h=QP("shape",e,t,n),f=QP("mean",e,t,n),d=QP("stdDev",e,t,n),m=QP("seed",e,t,n);return[zE(h,f,d,QP("dtype",e,t,n),m)];case"Zeros":return[lC(QP("shape",e,t,n),QP("dtype",e,t,n))];case"ZerosLike":return[uT(QP("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return eW(e,t,n);case"evaluation":return BI((function(){return function(e,t,n){switch(e.op){case"TopKV2":var r=QP("x",e,t,n),a=QP("k",e,t,n),i=QP("sorted",e,t,n),o=LE(r,a,i);return[o.values,o.indices];case"Unique":var s=QP("x",e,t,n),u=PE(s);return[u.values,u.indices];case"UniqueV2":var l=QP("x",e,t,n),c=QP("axis",e,t,n),p=PE(l,c);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return BI((function(){return function(e,t,n){switch(e.op){case"ResizeBilinear":var r=QP("images",e,t,n),a=QP("size",e,t,n),i=QP("alignCorners",e,t,n),o=QP("halfPixelCenters",e,t,n);return[dA.resizeBilinear(r,[a[0],a[1]],i,o)];case"ResizeNearestNeighbor":var s=QP("images",e,t,n),u=QP("size",e,t,n),l=QP("alignCorners",e,t,n),c=QP("halfPixelCenters",e,t,n);return[dA.resizeNearestNeighbor(s,[u[0],u[1]],l,c)];case"CropAndResize":var p=QP("image",e,t,n),h=QP("boxes",e,t,n),f=QP("boxInd",e,t,n),d=QP("cropSize",e,t,n),m=QP("method",e,t,n),v=QP("extrapolationValue",e,t,n);return[dA.cropAndResize(p,h,f,d,m,v)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return BI((function(){return function(e,t,n){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=QP("default",e,t,n);return[$P(e.name,t,n)||r];case"Placeholder":return[$P(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[aB(QP("x",e,t,n))];case"IdentityN":return QP("x",e,t,n).map((function(e){return aB(e)}));case"Snapshot":return[aB(QP("x",e,t,n))];case"Shape":return[FE(QP("x",e,t,n).shape,"int32")];case"ShapeN":return QP("x",e,t,n).map((function(e){return FE(e.shape)}));case"Size":return[oE(QP("x",e,t,n).size,"int32")];case"Rank":return[oE(QP("x",e,t,n).rank,"int32")];case"NoOp":return[oE(1)];case"Print":var a=QP("x",e,t,n),i=QP("data",e,t,n),o=QP("message",e,t,n),s=QP("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return BI((function(){return function(e,t,n){switch(e.op){case"Equal":return[oT(QP("a",e,t,n),QP("b",e,t,n))];case"NotEqual":return[xC(QP("a",e,t,n),QP("b",e,t,n))];case"Greater":return[kT(QP("a",e,t,n),QP("b",e,t,n))];case"GreaterEqual":return[NT(QP("a",e,t,n),QP("b",e,t,n))];case"Less":return[RT(QP("a",e,t,n),QP("b",e,t,n))];case"LessEqual":return[AT(QP("a",e,t,n),QP("b",e,t,n))];case"LogicalAnd":return[eC(QP("a",e,t,n),QP("b",e,t,n))];case"LogicalNot":return[tC(QP("a",e,t,n))];case"LogicalOr":return[nC(QP("a",e,t,n),QP("b",e,t,n))];case"Select":case"SelectV2":return[sT(QP("condition",e,t,n),QP("a",e,t,n),QP("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return BI((function(){return function(e,t,n){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[HN(QP("a",e,t,n),QP("b",e,t,n),QP("transposeA",e,t,n),QP("transposeB",e,t,n))];case"Einsum":return[pT.apply(WB,[QP("equation",e,t,n)].concat(QP("tensors",e,t,n)))];case"Transpose":return[KN(QP("x",e,t,n),QP("perm",e,t,n))];case"_FusedMatMul":var r=QP("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=QP("numArgs",e,t,n),l=QP("leakyreluAlpha",e,t,n);if(o){if(s&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=QP("args",e,t,n),p=c[0],h=c[1];return[fR({a:QP("a",e,t,n),b:QP("b",e,t,n),transposeA:QP("transposeA",e,t,n),transposeB:QP("transposeB",e,t,n),bias:p,activation:i,preluActivationWeights:h,leakyreluAlpha:l})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return BI((function(){return function(e,t,n){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[AS(QP("x",e,t,n),QP("mean",e,t,n),QP("variance",e,t,n),QP("offset",e,t,n),QP("scale",e,t,n),QP("epsilon",e,t,n))];case"LRN":return[_T(QP("x",e,t,n),QP("radius",e,t,n),QP("bias",e,t,n),QP("alpha",e,t,n),QP("beta",e,t,n))];case"Softmax":return[yE(QP("x",e,t,n))];case"LogSoftmax":return[jT(QP("x",e,t,n))];case"SparseToDense":return[JE(QP("sparseIndices",e,t,n),QP("outputShape",e,t,n),QP("sparseValues",e,t,n),QP("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return BI((function(){return function(e,t,n){switch(e.op){case"Max":var r=QP("axis",e,t,n),a=QP("keepDims",e,t,n);return[VT(QP("x",e,t,n),r,a)];case"Mean":var i=QP("axis",e,t,n),o=QP("keepDims",e,t,n);return[uC(QP("x",e,t,n),i,o)];case"Min":var s=QP("axis",e,t,n),u=QP("keepDims",e,t,n);return[hC(QP("x",e,t,n),s,u)];case"Sum":var l=QP("axis",e,t,n),c=QP("keepDims",e,t,n);return[GT(QP("x",e,t,n),l,c)];case"All":var p=QP("axis",e,t,n),h=QP("keepDims",e,t,n);return[$I(QP("x",e,t,n),p,h)];case"Any":var f=QP("axis",e,t,n),d=QP("keepDims",e,t,n);return[eS(QP("x",e,t,n),f,d)];case"ArgMax":var m=QP("axis",e,t,n);return[tS(QP("x",e,t,n),m)];case"ArgMin":var v=QP("axis",e,t,n);return[nS(QP("x",e,t,n),v)];case"Prod":var g=QP("axis",e,t,n),y=QP("keepDims",e,t,n);return[_C(QP("x",e,t,n),g,y)];case"Cumsum":var b=QP("axis",e,t,n),x=QP("exclusive",e,t,n),w=QP("reverse",e,t,n);return[JS(QP("x",e,t,n),b,x,w)];case"Bincount":var k=QP("x",e,t,n),N=QP("weights",e,t,n),I=QP("size",e,t,n);return[OS(k,N,I)];case"DenseBincount":var S=QP("x",e,t,n),T=QP("weights",e,t,n),C=QP("size",e,t,n),E=QP("binaryOutput",e,t,n);return[QS(S,T,C,E)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return BI((function(){return function(e,t,n){switch(e.op){case"ConcatV2":case"Concat":var r=QP("n",e,t,n),a=QP("axis",e,t,n),i=QP("tensors",e,t,n);return i=i.slice(0,r),[IS(i,a)];case"Gather":var o=QP("x",e,t,n),s=QP("indices",e,t,n);return[wT(o,IN(s,"int32"),0)];case"GatherV2":var u=QP("axis",e,t,n),l=QP("batchDims",e,t,n),c=QP("x",e,t,n),p=QP("indices",e,t,n);return[wT(c,IN(p,"int32"),u,l)];case"Reverse":for(var h=QP("dims",e,t,n),f=[],d=0;d<h.length;d++)h[d]&&f.push(d);var m=QP("x",e,t,n);return[$C(m,f)];case"ReverseV2":var v=QP("axis",e,t,n),g=QP("x",e,t,n);return[$C(g,v)];case"Slice":var y=QP("begin",e,t,n),b=QP("size",e,t,n);return[TS(QP("x",e,t,n),y,b)];case"StridedSlice":var x=QP("begin",e,t,n),w=QP("end",e,t,n),k=QP("strides",e,t,n),N=QP("beginMask",e,t,n),I=QP("endMask",e,t,n),S=QP("ellipsisMask",e,t,n),T=QP("newAxisMask",e,t,n),C=QP("shrinkAxisMask",e,t,n),E=QP("x",e,t,n);return[RE(E,x,w,k,N,I,S,T,C)];case"Pack":return BI((function(){var r=QP("axis",e,t,n),a=QP("tensors",e,t,n),i=a[0].shape,o=TE(a[0]).shape,s=a.map((function(e){var t=Hv(e.shape,i);if(!t&&!Hv(TE(e).shape,o))throw new Error("the input tensors shape does not match");return t?e:wS(e,i)}));return[CE(s,r)]}));case"Unpack":var R=QP("axis",e,t,n),A=QP("tensor",e,t,n);return WE(A,R);case"Tile":var F=QP("reps",e,t,n);return[gT(QP("x",e,t,n),F)];case"Split":case"SplitV":var _=QP("axis",e,t,n),D=QP("numOrSizeSplits",e,t,n),O=QP("x",e,t,n);return kE(O,D,_);case"ScatterNd":var M=QP("indices",e,t,n),L=QP("values",e,t,n),z=QP("shape",e,t,n);return[ZE(M,L,z)];case"GatherNd":var P=QP("x",e,t,n),B=QP("indices",e,t,n);return[QE(P,B)];case"SparseToDense":var W=QP("sparseIndices",e,t,n),V=QP("outputShape",e,t,n),U=QP("sparseValues",e,t,n),G=QP("defaultValue",e,t,n);return[JE(W,U,V,U.dtype===G.dtype?G:IN(G,U.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"sparse":return BI((function(){return function(e,t,n){switch(e.op){case"SparseFillEmptyRows":var r=gA.sparseFillEmptyRows(QP("indices",e,t,n),QP("values",e,t,n),QP("denseShape",e,t,n),QP("defaultValue",e,t,n));return[r.outputIndices,r.outputValues,r.emptyRowIndicator,r.reverseIndexMap];case"SparseReshape":var a=gA.sparseReshape(QP("inputIndices",e,t,n),QP("inputShape",e,t,n),QP("newShape",e,t,n));return[a.outputIndices,a.outputShape];case"SparseSegmentMean":return[gA.sparseSegmentMean(QP("data",e,t,n),QP("indices",e,t,n),QP("segmentIds",e,t,n))];case"SparseSegmentSum":return[gA.sparseSegmentSum(QP("data",e,t,n),QP("indices",e,t,n),QP("segmentIds",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return BI((function(){return function(e,t,n){switch(e.op){case"FFT":return[bE(QP("x",e,t,n))];case"IFFT":return[xE(QP("x",e,t,n))];case"RFFT":return[NE(QP("x",e,t,n))];case"IRFFT":return[wE(QP("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"string":return BI((function(){return function(e,t,n){switch(e.op){case"StringNGrams":var r=yA.stringNGrams(QP("data",e,t,n),QP("dataSplits",e,t,n),QP("separator",e,t,n),QP("nGramWidths",e,t,n),QP("leftPad",e,t,n),QP("rightPad",e,t,n),QP("padWidth",e,t,n),QP("preserveShortSequences",e,t,n));return[r.nGrams,r.nGramsSplits];case"StringSplit":var a=yA.stringSplit(QP("input",e,t,n),QP("delimiter",e,t,n),QP("skipEmpty",e,t,n));return[a.indices,a.values,a.shape];case"StringToHashBucketFast":return[yA.stringToHashBucketFast(QP("input",e,t,n),QP("numBuckets",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return BI((function(){return function(e,t,n){switch(e.op){case"Cast":return[IN(QP("x",e,t,n),QP("dtype",e,t,n))];case"ExpandDims":var r=QP("axis",e,t,n);return[mT(QP("x",e,t,n),r)];case"Squeeze":var a=QP("axis",e,t,n);return[TE(QP("x",e,t,n),a)];case"Reshape":return[wS(QP("x",e,t,n),QP("shape",e,t,n))];case"MirrorPad":return[dC(QP("x",e,t,n),QP("padding",e,t,n),QP("mode",e,t,n))];case"PadV2":case"Pad":return[NC(QP("x",e,t,n),QP("padding",e,t,n),QP("constantValue",e,t,n))];case"SpaceToBatchND":var i=QP("blockShape",e,t,n),o=QP("paddings",e,t,n);return[EC(QP("x",e,t,n),i,o)];case"BatchToSpaceND":var s=QP("blockShape",e,t,n),u=QP("crops",e,t,n);return[RS(QP("x",e,t,n),s,u)];case"DepthToSpace":var l=QP("blockSize",e,t,n),c=QP("dataFormat",e,t,n).toUpperCase();return[$S(QP("x",e,t,n),l,c)];case"BroadcastTo":return[MS(QP("x",e,t,n),QP("shape",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return nW(e,t,n,r);case"custom":var a=JP(e.op);if(a&&a.customExecutor)return a.customExecutor(new BB(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. 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t=e.inputs,n=e.backend,r=t;RV(t,"addN");for(var a=r.map((function(e){return n.data.get(e.dataId).values})),i=NN(r[0].shape,r[0].dtype),o=i.values,s=0;s<r.length;s++)for(var u=a[s],l=0;l<o.length;l++)o[l]+=u[l];return n.makeTensorInfo(i.shape,i.dtype,i.values)}};var QG={kernelName:Lg,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;RV(a,"all");var s=Jv(i,a.shape),u=s,l=ZT(u,a.shape.length),c=a;null!=l&&(c=QU({inputs:{x:a},backend:n,attrs:{perm:l}}),u=QT(u.length,a.shape.length)),YT("all",u,c.shape.length);for(var p=KT(c.shape,u),h=p[0],f=jv(p[1]),d=gg(jv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];y=y&&x}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=UG({inputs:{x:w},backend:n,attrs:{shape:XT(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var 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D=N-1-d.padInfo.top,O=I-1-d.padInfo.left,M="channelsLast"===f,L=m.strides[0],z=M?m.strides[1]:m.strides[2],P=M?m.strides[2]:1,B=M?1:m.strides[1],W=h[0],V=M?h[1]:h[2],U=M?h[2]:1,G=M?1:h[1],j=0;j<k;++j)for(var H=0;H<S;++H)for(var q=0;q<T;++q)for(var K=q-D,X=Math.max(0,Math.ceil(K/F)),Y=Math.min(R,(N+K)/F),Z=0;Z<C;++Z){for(var J=Z-O,Q=Math.max(0,Math.ceil(J/_)),$=Math.min(A,(I+J)/_),ee=0,te=X;te<Y;++te)for(var ne=te*F-K,re=Q;re<$;++re)for(var ae=W*j+V*te+U*re,ie=b*(N-1-ne)+x*(I-1-(re*_-J))+w*H,oe=0;oe<E;++oe){ee+=g[ae+G*oe]*y[ie+oe]}v[L*j+z*q+P*Z+B*H]=ee}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var Oj={kernelName:uy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations;RV([a,i],"conv3d");for(var l=hS(a.shape,i.shape,o,u,s),c=l.filterDepth,p=l.filterHeight,h=l.filterWidth,f=l.dilationDepth,d=l.dilationHeight,m=l.dilationWidth,v=l.padInfo,g=v.front,y=v.left,b=v.top,x=new 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t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,l=r.extrapolationValue,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=i.shape[0],v=s[0],g=s[1],y=NN([m,v,g,d],"float32"),b=n.data.get(i.dataId).values,x=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,k=fg(a.shape),N=fg(y.shape),I=0;I<m;I++){var S=4*I,T=b[S],C=b[S+1],E=b[S+2],R=b[S+3],A=x[I];if(!(A>=p))for(var F=v>1?(E-T)*(h-1)/(v-1):0,_=g>1?(R-C)*(f-1)/(g-1):0,D=0;D<v;D++){var O=v>1?T*(h-1)+D*F:.5*(T+E)*(h-1);if(O<0||O>h-1)for(var M=0;M<g;M++)for(var L=0;L<d;L++){var z=L+M*N[2]+D*N[1]+I*N[0];y.values[z]=l}else if("bilinear"===u)for(var P=Math.floor(O),B=Math.ceil(O),W=O-P,V=0;V<g;V++){var U=g>1?C*(f-1)+V*_:.5*(C+R)*(f-1);if(U<0||U>f-1)for(var G=0;G<d;G++){var j=G+V*N[2]+D*N[1]+I*N[0];y.values[j]=l}else for(var H=Math.floor(U),q=Math.ceil(U),K=U-H,X=0;X<d;X++){var 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p=Qw(l.dtype,"int32"),h=gg(jv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?0:f[y];else{var b=m(v,g-1);h[y]=o?f[b]+h[b]:f[y]+h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=QU({inputs:{x:x},backend:n,attrs:{perm:JT(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var Gj={kernelName:my,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=ZV(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var l=JV(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(l.shape,i.dtype,l.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}};var jj={kernelName:vy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Wv("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. 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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;RV([a,i],"depthwiseConv2DNativeBackpropInput");for(var p=fg(a.shape),h=fg(i.shape),f=pS(c,i.shape,o,s,u,l,!0),d=new Ww(f.inShape,"float32"),m=d.values,v=d.strides,g=v[0],y=v[1],b=v[2],x=n.data.get(a.dataId).values,w=p[0],k=p[1],N=p[2],I=n.data.get(i.dataId).values,S=h[0],T=h[1],C=h[2],E=f.batchSize,R=f.filterHeight,A=f.filterWidth,F=f.inChannels,_=f.inHeight,D=f.inWidth,O=f.outChannels,M=f.outHeight,L=f.outWidth,z=f.strideHeight,P=f.strideWidth,B=R-1-f.padInfo.top,W=A-1-f.padInfo.left,V=O/F,U=0;U<E;++U)for(var G=0;G<F;++G)for(var j=0;j<_;++j)for(var H=j-B,q=Math.max(0,Math.ceil(H/z)),K=Math.min(M,(R+H)/z),X=0;X<D;++X){for(var Y=X-W,Z=Math.max(0,Math.ceil(Y/P)),J=Math.min(L,(A+Y)/P),Q=0,$=q;$<K;++$)for(var ee=$*z-H,te=Z;te<J;++te)for(var ne=w*U+k*$+N*te,re=S*(R-1-ee)+T*(A-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 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QH={kernelName:mb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;RV(a,"min");var s=Jv(i,a.shape),u=s,l=ZT(u,a.shape.length),c=a;null!=l&&(c=QU({inputs:{x:a},backend:n,attrs:{perm:l}}),u=QT(u.length,a.shape.length)),YT("min",u,c.shape.length);for(var p=KT(c.shape,u),h=p[0],f=jv(p[1]),d=gg(jv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];(Number.isNaN(x)||x<y)&&(y=x)}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=UG({inputs:{x:w},backend:n,attrs:{shape:XT(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var $H={kernelName:gb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode;RV(a,"mirrorPad");for(var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),l=i.map((function(e,t){return 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u=s?a:rq({inputs:{logits:a},backend:n,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=n.data.get(u.dataId).values,h=[l,i],f=gg(jv(h),"int32"),d=0;d<l;++d){var m=d*c,v=new Float32Array(c-1);v[0]=p[m];for(var g=1;g<v.length;++g)v[g]=v[g-1]+p[m+g];for(var y=VC(o.toString()),b=d*i,x=0;x<i;++x){var w=y();f[b+x]=v.length;for(var k=0;k<v.length;k++)if(w<v[k]){f[b+x]=k;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(h,"int32",f)}},oq=TR;var sq={kernelName:Nb,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;RV(a,"NonMaxSuppression");var l=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,p=oq(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},uq=CR;var lq={kernelName:Ib,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.padToMaxOutputSize;RV(a,"NonMaxSuppressionPadded");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=uq(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},cq=ER;var pq={kernelName:Sb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma;RV(a,"NonMaxSuppressionWithScore");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=cq(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var hq={kernelName:Cb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.depth,o=r.onValue,s=r.offValue;RV(a,"oneHot");var u=jv(a.shape),l=new Float32Array(u*i);l.fill(s);for(var c=n.data.get(a.dataId).values,p=0;p<u;++p)c[p]>=0&&c[p]<i&&(l[p*i+c[p]]=o);return n.makeTensorInfo([].concat(a.shape,[i]),"int32",l)}};function fq(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=WV({inputs:{input:r},backend:n}),i=fq({inputs:{x:a},backend:n}),o=Tj({inputs:{input:r},backend:n}),s=fq({inputs:{x:o},backend:n}),u=MV({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return dH({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var dq={kernelName:Cx,backendName:"cpu",kernelFunc:fq};var mq={kernelName:Tb,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=WV({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=Tj({inputs:{input:a},backend:r}),u=fq({inputs:{x:s},backend:r}),l=MV({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return dH({backend:r,attrs:{shape:a.shape,value:1,dtype:a.dtype}})}};function vq(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return iH({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Vv(a,e.shape,"All tensors passed to stack must have matching shapes"),Wv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=Ej({inputs:t.map((function(e){var t=iH({inputs:{input:e},backend:n,attrs:{dim:r}});return 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255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n",aX=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=yK.DENSE;var t=SK(e),n=eX();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n       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vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},oX=function(e){this.variableNames=["A"],this.outTexUsage=bK.DOWNLOAD;var t=eX();this.outputShape=e,this.userCode="\n      "+rX+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},sX=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=bK.DOWNLOAD;var t=eX();this.outputShape=e,this.userCode="\n      "+rX+"\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    "},uX=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=eX(),a=t[0],i=t[1];this.outputShape=e;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+nX(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n\n        int r = flatIndex / "+i+";\n        int c = imod(flatIndex, "+i+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},lX=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=eX(),a=t[0],i=t[1];this.outputShape=e;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var l=0;l<=1;l++){var c=2*u+l;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+l+" < "+e[2]+") {\n            localCoords[2] += "+l+";\n            if(localCoords[1] + "+u+" < "+e[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+i+";\n              c = imod(flatIndex, "+i+");\n              uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+c+"] = values[0];\n              } else if(offset == 1) {\n                result["+c+"] = values[1];\n              } else if(offset == 2) {\n                result["+c+"] = values[2];\n              } else {\n      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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;EK(t,(function(){return t.finish()})),EK(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),EK(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),EK(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),EK(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),EK(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},t.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=IK(t,n);return fX(e,a[0],a[1],dX(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=IK(t,n);return fX(e,a[0],a[1],mX(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createUnsignedBytesMatrixTexture=function(e,t){return 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t.gl.useProgram(e)}))},t.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?function(e,t,n){return VK(e,(function(){return e.getUniformLocation(t,n)}),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),EK(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(),zK(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 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null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=AK(this.gl,2===Eg().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===Eg().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!==Eg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},t.waitForQueryAndGetTime=function(){var e=xv(regeneratorRuntime.mark((function e(t){var n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,Yv((function(){return n.disposed||n.isQueryAvailable(t,Eg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Eg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},t.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},t.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},t.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||Yv((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),PK(this.gl,e,this.framebuffer),this.debug&&WK(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(PK(this.gl,this.outputTexture,this.framebuffer),this.debug&&WK(this.gl)):BK(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;PK(r,e,this.framebuffer),this.debug&&WK(r),this.outputTexture=e,EK(r,(function(){return r.viewport(0,0,t,n)})),EK(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),EK(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))},t.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},kv(e,[{key:"debug",get:function(){return Eg().getBool("DEBUG")}}]),e}();var wX=rT;function kX(e,t,n,r){var a=[];e.forEach((function(e){var t=jv(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?a.push("uniform float "+e.name+(t>1?"["+t+"]":"")+";"):(a.push("uniform sampler2D "+e.name+";"),a.push("uniform int offset"+e.name+";"))}));var i,o,s=a.join("\n"),u=e.map((function(e){return function(e,t,n){void 0===n&&(n=!1);var r="";r+=n?IX(e):NX(e);var a=e.shapeInfo.logicalShape,i=t.logicalShape;a.length<=i.length&&(r+=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=wX(e.shapeInfo.logicalShape,t.logicalShape),l=FX(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map((function(e){return"coords."+p[e+c]+" = 0;"})).join("\n");var h="";h=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+c]})).join(", ");var f="return outputValue;",d=1===jv(e.shapeInfo.logicalShape),m=1===jv(t.logicalShape);if(1!==o||d||m){if(d&&!m)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var v=o-2,g=o-1;u.indexOf(v)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(v)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+a+"("+h+");\n      "+f+"\n    }\n  "}(e,t):function(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&Hv(o,i))return"\n      float "+a+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l,c=FX(u),p=wX(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,f=["x","y","z","w","u","v"];l=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+f[e+h]+" = 0;"})).join("\n");var d="";d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+f[t+h]})).join(", ");return"\n    float "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+l+"\n      return get"+r+"("+d+");\n    }\n  "}(e,t));return r}(e,t,r)})).join("\n"),l=t.texShape,c=eX(),p=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+e.texture2D+"(textureSampler, uv).r;\n    }\n  "}(c),h=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    "+SX+"\n    "+TX+"\n    "+CX+"\n  "}(c);return t.isPacked?(i=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(Hv(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=e,r=t,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=Math.ceil(n[2]/2),o=i*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+a[0]+", "+a[1]+"));\n      int index = resTexRC.x * "+a[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+i+");\n      int c = imod(index, "+i+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(e,t){for(var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2),i=a,o="",s="b, r, c",u=2;u<e.length-1;u++)o="\n      int b"+u+" = index / "+(i*=e[e.length-u-1])+";\n      index -= b"+u+" * "+i+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+e.length+"("+s+");\n    }\n  "}(e,t)}var n,r,a,i,o}(t.logicalShape,l),o=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(c)):(i=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){if(1===t[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ";if(1===t[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\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);case 2:return function(e,t){if(Hv(e,t))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ";if(1===e[1])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        return ivec2(index, 0);\n      }\n    ";if(1===e[0])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        return ivec2(0, index);\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);case 3:return n=t,r=tX(["r","c","d"],e),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(e,t){var n=tX(["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      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=tX(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=tX(["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 n,r}(t.logicalShape,l),o=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(c)),r&&(h+=EX),[h,p,o,s,i,u,n].join("\n")}function NX(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"float "+n+"() {return "+t+";}";var r=e.shapeInfo.texShape,a=r[0],i=r[1];if(1===a&&1===i)return"\n      float "+n+"() {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=e.shapeInfo.texShape,s=o[0],u=o[1],l=RX(t);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+l+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+AX(e)+"\n      }\n    ";var r=e.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=RX(t);if(1===i)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+a+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ";if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+i+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+a+", "+i+", index + "+o+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(null!=a&&Hv(t,a)){var i=a[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+a[1]+".0, "+i+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var o=Qv(t),s=o.newShape,u=o.keptDims,l=s;if(l.length<t.length){var c=["row","col"];return"\n      "+NX(_X(e,l))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+DX(c,u)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+t[1]+", 1)));\n        "+AX(e)+"\n      }\n    ";var p=a[0],h=a[1],f=RX(n);if(1===h)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+f+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+p+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===p)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+f+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+h+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+t[1]+" + col + "+f+";\n    vec2 uv = uvFromFlat("+p+", "+h+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],i=t[2],o=Qv(t),s=o.newShape,u=o.keptDims,l=s;if(l.length<t.length){var c=["row","col","depth"];return"\n        "+NX(_X(e,l))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+DX(c,u)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+i+", 1)));\n        "+AX(e)+"\n      }\n    ";var p=e.shapeInfo.texShape,h=p[0],f=p[1],d=e.shapeInfo.flatOffset;if(f===a&&null==d)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+i+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+f+".0, "+h+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(f===i&&null==d)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+t[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+f+".0, "+h+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var m=RX(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+i+" + depth + "+m+";\n        vec2 uv = uvFromFlat("+h+", "+f+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(e);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],i=t[2]*a,o=t[1]*i,s=Qv(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){var c=["row","col","depth","depth2"];return"\n      "+NX(_X(e,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+DX(c,l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+i+", "+a+", 1)));\n        "+AX(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,f=h[0],d=h[1];if(d===o&&null==p)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(d===a&&null==p)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+t[1]*t[2]+", "+t[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=RX(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+i+" +\n          depth * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+f+", "+d+", index + "+m+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);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=Qv(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=["row","col","depth","depth2","depth3"];return"\n      "+NX(_X(e,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+DX(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        "+AX(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=RX(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+i+" +\n          depth2 * "+a+" + depth3 + "+v+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=Qv(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=["row","col","depth","depth2","depth3","depth4"];return"\n      "+NX(_X(e,i))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+DX(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        "+AX(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],v=d[1];if(v===h&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+p+", "+c+", "+l+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===u&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=RX(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(t.length+"-D input sampling is not yet supported")}}function IX(e){var t,n,r;switch(e.shapeInfo.logicalShape.length){case 0:return t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=eX(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+t+", halfCR);\n    }\n  ";case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=eX();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return "+i.texture2D+"("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=a[0],o=a[1],s=eX();if(null!=a&&Hv(t,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],l=Math.ceil(t[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+l+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===t[0]){var o=[1,2],s=["b","row","col"];return"\n        "+IX(_X(e,t.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+DX(s,o)+");\n        }\n      "}var u=i[0],l=i[1],c=Math.ceil(t[2]/2),p=c*Math.ceil(t[1]/2),h=eX();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+l+", "+p+", "+c+", b, row, col);\n      return "+h.texture2D+"("+n+", uv);\n    }\n  "}(e);default:return function(e){for(var t=e.shapeInfo.logicalShape,n=t.length,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)],s=o[0],u=o[1],l=Math.ceil(t[n-1]/2),c=l*Math.ceil(t[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,h="b"+f+" * "+(c*=t[n-f-1])+" + "+h;var d=eX();return"\n    vec4 "+a+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(e)}}var SX="\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",TX="\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",CX="\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",EX="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function RX(e){return"offset"+e}function AX(e){var t=e.name,n=jv(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function FX(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function _X(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function DX(e,t){return t.map((function(t){return e[t]})).join(", ")}function OX(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!Hv(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Hv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var MX=qV,LX=ZV,zX=JV,PX=tU,BX=aU,WX=iU,VX=uU,UX=pU,GX=dU,jX=gU,HX=yU,qX=bU,KX=kU,XX=SU,YX=EU,ZX=FU,JX=_U,QX=MU,$X=LU,eY=BU,tY=UU,nY=qU,rY=XU,aY=eG,iY=nG,oY=rG,sY=_V,uY=oG,lY=lG,cY=cG,pY=pG,hY=mG,fY=gG,dY=bG,mY=xG,vY=wG,gY=SG,yY=TG,bY=JU,xY=CG;function wY(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function kY(e,t){return 1===t?[e]:wY(e,t)}var NY=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;var t=e.length;if(0===t)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=kY("rc",t),r=FX(t),a=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",a=e-2;a<e;a++)r+=n[a]+" >= "+t[a],a<e-1&&(r+="||");return r}(t,e,n),i=function(e,t,n,r){if(1===e)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= 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1;"),n+="\n        "+a+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      "+("\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+tX(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      ")+nX(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var SY=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=CY(t,n),a=EY(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=TY(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].shift();return this.usedTextures[a].push(s),s}return r===xK.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===xK.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===xK.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===xK.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===xK.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=CY(n,r),i=EY(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=TY(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=Eg().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],l=u.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(l,1),this.log()}},t.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")");var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*t)+"%)")}},t.getNumUsedTextures=function(){return this.numUsedTextures},t.getNumFreeTextures=function(){return this.numFreeTextures},t.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));for(var n in 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e=this;if(!this.disposed){if(!Eg().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}},n.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=BI((function(){if(!Eg().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Eg().getBool("DEBUG");Eg().set("DEBUG",!1);var n=e.abs(oE(1e-8)).dataSync()[0];if(Eg().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,l=null!=this.activeTimers;l&&(u=Ew());var c=t.texShape;if(null==c&&(c=function(e,t){void 0===t&&(t=!1);var n=Eg().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map((function(t,n){return n>=e.length-2?Pv(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var r=Qv(e);e=r.newShape}var a=jv(e);if(e.length<=1&&a<=n)return[1,a];if(2===e.length&&e[0]<=n&&e[1]<=n)return e;if(3===e.length&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(3===e.length&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){var i=GK(e),o=2,s=2;if(e.length){var u=jK(e);o=u[0],s=u[1]}return Kv(a=i*(o/2)*(s/2)).map((function(e){return 2*e}))}return Kv(a)}(n,s),t.texShape=c),null!=a){var p,h=HK(n),f=c[1],d=c[0],m=a instanceof Uint8Array;if(s){var v=TK(c[0],c[1]);f=v[0],d=v[1],p=new lX(h,[d,f],m)}else p=new uX(h,[d,f],m);var g=this.makeTensorInfo([d,f],r);this.texData.get(g.dataId).usage=m?bK.PIXELS:bK.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(g.dataId),f,d,a);var y=this.runWebGLProgram(p,[g],r,null,!0),b=this.texData.get(y.dataId);t.texture=b.texture,t.texShape=b.texShape,t.isPacked=b.isPacked,t.usage=b.usage,this.disposeIntermediateTensorInfo(g),this.texData.delete(y.dataId),t.values=null,l&&(this.uploadWaitMs+=Ew()-u)}else{var x=this.acquireTexture(c,o,r,s);t.texture=x}}},n.convertAndCacheOnCPU=function(e,t){var n=this.texData.get(e),r=n.dtype;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype 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0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=iT(t,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===jv(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+FX(a)+" coords = getOutputCoords();\n        ",1===a)i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=kY("coords",a);i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",Tw(i,"float32")),s=Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new WY(qY,a.shape,o.shape):new BY(HY,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],a.dtype);return n.disposeIntermediateTensorInfo(o),u}},XY="return (a < 0.) ? b * a : a;",YY="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var ZY={kernelName:Fb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new WY(YY,r.shape,a.shape):new BY(XY,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],r.dtype)}};function JY(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=Eg().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new DY(u.shape,n):new RY(u.shape,t),l.runWebGLProgram(i,[u],c)}}function QY(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,a=void 0!==r&&r,i=e.supportsComplex,o=void 0!==i&&i,s=e.cpuKernelImpl,u=e.dtype;return function(e){var r=e.inputs,i=e.backend,l=r.a,c=r.b,p=i;if(o&&"complex64"===l.dtype){var h=p.texData.get(l.dataId),f=p.texData.get(c.dataId),d=[[h.complexTensorInfos.real,f.complexTensorInfos.real],[h.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=e[0],r=e[1],a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o=new BY(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],Qw(n.dtype,r.dtype))})),m=d[0],v=d[1],g=GY({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||Qw(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?mF(x):x,N="string"===l.dtype?mF(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=Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new WY(n,l.shape,c.shape,a):new BY(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}function $Y(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?YY:XY;if("leakyrelu"===e)return t?qY:HY;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 eZ=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;var l=r?e[1]:e[2],c=Math.ceil(l/2),p=r?"i * 2, rc.y":"rc.y, i * 2",h=a?"rc.z, i * 2":"i * 2, rc.z",f=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",v="";o&&(m=s?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+o+"\n        }":u?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          "+o+"\n        }":"vec4 activation(vec4 x) {\n          "+o+"\n        }",v="result = activation(result);");var g=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");var y="rc.x",b="rc.x";e[0]<t[0]?y="int(min(float(rc.x), "+(e[0]-1)+".))":t[0]<e[0]&&(b="int(min(float(rc.x), "+(t[0]-1)+".))"),this.userCode="\n      "+m+"\n\n      const float sharedDimension = "+c+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+c+"; i++) {\n          int batchA = "+y+";\n          int batchB = "+b+";\n          vec4 a = getMatrixA(batchA, "+p+");\n          vec4 b = getMatrixB(batchB, "+h+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+d[0]+");\n          result += ("+f[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+g+"\n\n        "+v+"\n\n        setOutput(result);\n      }\n    "},tZ="return areal * breal - aimag * bimag;",nZ="return areal * bimag + aimag * breal;",rZ=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=iT(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    "},aZ="return a * b;";function iZ(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=Qw(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),l=new rZ(tZ,a.shape,i.shape),c=new rZ(nZ,a.shape,i.shape),p=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],h=r.runWebGLProgram(l,p,"float32"),f=r.runWebGLProgram(c,p,"float32"),d=GY({inputs:{real:h,imag:f},backend:r});return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var m=r.texData.get(a.dataId),v=r.texData.get(i.dataId),g=tY(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=Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new WY(aZ,a.shape,i.shape):new BY(aZ,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var oZ={kernelName:xb,backendName:"webgl",kernelFunc:iZ};function sZ(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=jv(a.shape),u=Zv(i,s),l=jv(u);Wv(s===l,(function(){return"The new shape ("+u+") has "+l+" elements and the old shape ("+a.shape+") has "+s+" elements. 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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    "},cZ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n        if ("+("min"===t)+" || "+("max"===t)+") {\n          minMaxValue = "+s+"(values, minMaxValue);\n          bvec4 isNaN = isnan(values);\n          if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n            minMaxValue = vec4(NAN);\n          }\n        }\n      }\n    ",h="vec4";"all"===t?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===t&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "};function pZ(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=DA(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 lZ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new lZ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new cZ({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 hZ=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=FX(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 fZ=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=FX(this.rank),i=wY("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 dZ(e,t,n){var r=Eg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fZ(e.shape,t):new hZ(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function mZ(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=Jv(a,e.shape),s=o,u=ZT(s,i),l=null!=u,c=e;l&&(c=dZ(e,u,r),s=QT(s.length,i)),YT("sum",s,i);var p=KT(c.shape,s),h=p[0],f=p[1],d=h;n&&(d=XT(h,o));var m=jv(f),v=sZ({inputs:{x:c},attrs:{shape:[jv(e.shape)/m,m]},backend:r}),g=pZ(v,$w(e.dtype),"sum",r),y=sZ({inputs:{x:g},attrs:{shape:d},backend:r});return r.disposeIntermediateTensorInfo(v),r.disposeIntermediateTensorInfo(g),l&&r.disposeIntermediateTensorInfo(c),y}(t.x,r.axis,r.keepDims,n)}var vZ={kernelName:nx,backendName:"webgl",kernelFunc:mZ};function gZ(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=bY(p,i.shape,i.dtype,o,l);t=s.makeTensorInfo(l,i.dtype),s.texData.get(t.dataId).values=h}else t=dZ(i,o,s);return t}var yZ={kernelName:Nx,backendName:"webgl",kernelFunc:gZ};function bZ(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=t.shape.length,m=n.shape.length,v=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[m-1]:n.shape[m-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[m-2]:n.shape[m-1],x=t.shape.slice(0,-2),w=n.shape.slice(0,-2),k=jv(x),N=jv(w);Wv(d>=2&&m>=2&&(k===N||1===k||1===N),(function(){return"Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. 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G=iZ({inputs:{a:W,b:U},backend:i});S=mZ({inputs:{x:G},backend:i,attrs:{axis:V,keepDims:!0}}),A.push(G)}else{var j=Qw(t.dtype,n.dtype),H=new eZ(T,C,[F,y,b],r,a,D,L,O,M),q=[E,R];if(null!=s&&q.push(s),O&&q.push(l),M){var K=i.makeTensorInfo([],"float32",Tw(p,"float32"));q.push(K),A.push(K)}S=i.runWebGLProgram(H,q,j)}var X=sZ({inputs:{x:S},backend:i,attrs:{shape:I}});A.push(S);for(var Y=0,Z=A;Y<Z.length;Y++){var J=Z[Y];i.disposeIntermediateTensorInfo(J)}return X}var xZ={kernelName:Fx,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 bZ({a:a,b:i,transposeA:u,transposeB:l,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:c})}},wZ="return abs(x);";var kZ={kernelName:Fg,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=sY(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=Eg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new DY(a.shape,wZ):new RY(a.shape,wZ),r.runWebGLProgram(t,[a],a.dtype)}},NZ=JY({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),IZ={kernelName:_g,backendName:"webgl",kernelFunc:NZ},SZ=JY({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),TZ={kernelName:Dg,backendName:"webgl",kernelFunc:SZ},CZ="return a + b;",EZ=QY({opSnippet:CZ,packedOpSnippet:CZ,supportsComplex:!0,cpuKernelImpl:MX}),RZ={kernelName:Og,backendName:"webgl",kernelFunc:EZ},AZ=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    "},FZ=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 _Z={kernelName:Mg,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return VY({inputs:{x:a[0]},backend:r});if(a.length>Eg().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 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Jv(i,a.shape),l=u,c=ZT(l,s),p=a;null!=c&&(p=gZ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=QT(l.length,s)),YT("any",l,s);var h,f=KT(p.shape,l),d=f[0],m=sZ({inputs:{x:p},backend:n,attrs:{shape:[-1,jv(f[1])]}}),v=pZ(m,m.dtype,"any",n);return h=sZ(o?{inputs:{x:v},backend:n,attrs:{shape:XT(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},MZ=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    "},LZ=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Wv(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=FX(l),p=kY("coords",l);if(1===i){var h=FX(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(e){return"int "+e})),v=kY("sourceLocR",s-1).concat("inIdx.r"),g=kY("sourceLocG",s-1).concat("inIdx.g"),y=kY("sourceLocB",s-1).concat("inIdx.b"),b=kY("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+N+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "};function zZ(e,t,n,r){void 0===r&&(r=null);var a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=DA(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new MZ(s,n,null==r),l=[t];null!=r&&l.push(r);var c=e.runWebGLProgram(u,l,"int32");if(1===c.shape[1])return c;var p=zZ(e,t,n,c);return e.disposeIntermediateTensorInfo(c),p}function PZ(e,t,n,r){void 0===r&&(r=null);var a=null!=r?r.shape:t.shape,i=DA(a[a.length-1]),o=new LZ(a,i,n,null==r),s=null==r?[t]:[t,r],u=e.runWebGLProgram(o,s,"int32");if(u.shape.length===t.shape.length){var l=PZ(e,t,n,u);return e.disposeIntermediateTensorInfo(u),l}return u}function BZ(e,t,n,r){var a=[n];if(YT("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!Eg().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=KT(t.shape,a),s=o[0],u=jv(o[1]),l=sZ({inputs:{x:t},backend:e,attrs:{shape:[-1,u]}});i.push(l);var c=zZ(e,l,r);i.push(c);var p=sZ({inputs:{x:c},backend:e,attrs:{shape:s}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),p}return PZ(e,t,r)}var WZ={kernelName:Pg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Jv(r.axis,a.shape),o=ZT(i,a.shape.length),s=a,u=[];null!=o&&(s=gZ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=QT(i.length,s.shape.length)),YT("argMax",[i[0]],s.shape.length);var l=BZ(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}};var VZ={kernelName:Bg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Jv(r.axis,a.shape),o=ZT(i,a.shape.length),s=a,u=[];null!=o&&(s=gZ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=QT(i.length,s.shape.length)),YT("argMin",[i[0]],s.shape.length);var l=BZ(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}},UZ=JY({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),GZ={kernelName:Wg,backendName:"webgl",kernelFunc:UZ},jZ=JY({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),HZ={kernelName:Vg,backendName:"webgl",kernelFunc:jZ},qZ=JY({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),KZ={kernelName:Ug,backendName:"webgl",kernelFunc:qZ},XZ=QY({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),YZ={kernelName:jg,backendName:"webgl",kernelFunc:XZ},ZZ=JY({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;"}),JZ={kernelName:Gg,backendName:"webgl",kernelFunc:ZZ},QZ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch  * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="0.0";if(d||(g="-1.0 / 1e-20"),n){this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+h+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+c+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+l+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?a?m:v:"wR * "+p+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(i/4),x=i%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+h+", "+f+");\n      const float initializationValue = "+g+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+c+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+l+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              getValue(batch, xR, xC + 3 * "+l+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},$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,f=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,v=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+h+";\n              wD += "+l+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+c+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+p+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+f+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / count");var w=4*Math.floor(i/4),k=i%4,N="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+h+";\n            wD += "+l+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+c+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+p+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n              );\n\n              "+N+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                initializationValue\n              );\n\n              "+N+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}};var eJ={kernelName:Hg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;QK(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Wv(bS(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=lS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Hv(l.inShape,l.outShape))return VY({inputs:{x:a},backend:n});var c=new QZ(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var tJ={kernelName:Kg,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=cS(a.shape,i,o,[1,1,1],s,u,l),p=new $Z(c,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}},nJ=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    "},rJ=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterDepth,p=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=c-1-e.padInfo.front,d=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+v+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var aJ={kernelName:Xg,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=cS(i.shape,o,s,[1,1,1],u,l),p=new rJ(c);return n.runWebGLProgram(p,[a],i.dtype)}};var iJ={kernelName:qg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;QK([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=lS(o.shape,s,u,1,l),p=new nJ(c);return n.runWebGLProgram(p,[a],o.dtype)}};var oJ={kernelName:Yg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return bZ({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},sJ=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],iT(e,t),iT(e,n);var o="0.0";null!=r&&(iT(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(iT(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    "},uJ=function(e,t,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],iT(e,t),iT(e,n);var o="vec4(0.0)";null!=r&&(iT(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(iT(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    "},lJ={kernelName:Py,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;Wv(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Wv(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Wv(null==u||i.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var l=r.varianceEpsilon;null==l&&(l=.001);var c=[a,i,o],p=null;null!=s&&(p=s.shape,c.push(s));var h=null;null!=u&&(h=u.shape,c.push(u));var f=Eg().getBool("WEBGL_PACK_NORMALIZATION")?new uJ(a.shape,i.shape,o.shape,p,h,l):new sJ(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(f,c,c[0].dtype)}},cJ=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t,n=FX(this.rank),r="uniform int start["+this.rank+"];",a=function(e){if(1===e)return"sourceLoc";if(e<=6)return pJ.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);t="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+pJ[t]+" = start["+t+"] + coords."+pJ[t]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+t+"\n        setOutput(getSource("+a+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),pJ=["x","y","z","w","u","v"];var hJ=function(){function e(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;var t=FX(this.rank),n=kY("coords",this.rank),r=kY("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      uniform int start["+this.rank+"];\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    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}();function fJ(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=NI(a,r.begin,r.size),o=i[0],s=i[1];if(lI(a,o,s),0===jv(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),l=uY(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,l)}var c=n.texData.get(a.dataId).isPacked,p=wI(a.shape,o,s);if(c||!p){var h=Eg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hJ(s):new cJ(s),f=h.getCustomSetupFunc(o);return n.runWebGLProgram(h,[a],a.dtype,f)}return n.uploadToGPU(a.dataId),function(e,t,n,r){var a=r.texData.get(e.dataId),i=r.makeTensorInfo(n,e.dtype),o=r.texData.get(i.dataId);Object.assign(o,a),o.refCount=1,o.shape=n,o.dtype=e.dtype;var s=kI(t,fg(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 dJ={kernelName:Yb,backendName:"webgl",kernelFunc:fJ},mJ={kernelName:Zg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Wv(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=MA(a.shape,i,s),l=LA(u.length,i.length),c=zA(a.shape,i,s),p=PA(o,i.length),h=BA(c,o,i.length),f=[],d=sZ({inputs:{x:a},backend:n,attrs:{shape:u}}),m=gZ({inputs:{x:d},backend:n,attrs:{perm:l}}),v=sZ({inputs:{x:m},backend:n,attrs:{shape:c}}),g=fJ({inputs:{x:v},backend:n,attrs:{begin:p,size:h}});return f.push(d),f.push(m),f.push(v),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var vJ={kernelName:Jg,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=LX(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}},gJ=QY({opSnippet:"return float(a != b);",cpuKernelImpl:rY,dtype:"bool"}),yJ={kernelName:kb,backendName:"webgl",kernelFunc:gJ};function bJ(e){var t=e.inputs,n=e.backend,r=t.input;return VY({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var xJ={kernelName:Ob,backendName:"webgl",kernelFunc:bJ};var wJ={kernelName:$g,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 VY({inputs:{x:i},backend:r});var s=lC(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),l=GY({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),l}if("complex64"===i.dtype){var c=bJ({inputs:{input:i},backend:r}),p=e({inputs:{x:c},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(c),p}if(!rg(i.dtype,o)){var h=VY({inputs:{x:i},backend:r});return{dataId:h.dataId,shape:h.shape,dtype:o}}if("int32"===o)return function(e,t){var n=new RY(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var f=r.makeTensorInfo([],"bool",$v("bool",1)),d=gJ({inputs:{a:i,b:f},backend:r});return r.disposeIntermediateTensorInfo(f),d}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+o)}},kJ="return ceil(x);",NJ=JY({opSnippet:kJ,packedOpSnippet:kJ,cpuKernelImpl:PX}),IJ={kernelName:ey,backendName:"webgl",kernelFunc:NJ},SJ=function(){function e(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),TJ=function(){function e(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}();var CJ={kernelName:ty,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,u=(t=Eg().getBool("WEBGL_PACK_CLIP")?new TJ(i.shape):new SJ(i.shape)).getCustomSetupFunc(o,s);return r.runWebGLProgram(t,[i],i.dtype,u)}},EJ=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 RJ(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var AJ={kernelName:ry,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new EJ(r.shape),o=[RJ(r,a.complexTensorInfos.real),RJ(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},FJ=function(e){this.outputShape=[],this.outputShape=_A(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    "},_J=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=_A(e,t);var n=this.outputShape,r=n.length,a=FX(r),i=kY("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];for(var l=o[t],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }",f=1;f<s.length;f++){var d=s[f-1];h+="\n        if ("+l+" < "+s[f]+"  && "+l+" >= "+s[f-1]+") {\n          return getChannel(\n            getT"+f+"("+DJ(o,l,d)+"),\n            vec2("+DJ(c,l,d)+"));\n        }"}var m=s.length,v=s[s.length-1];h+="\n        return getChannel(\n          getT"+m+"("+DJ(o,l,v)+"),\n          vec2("+DJ(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 DJ(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function OJ(e){var t=e.inputs,n=e.backend,r=t.input;return VY({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var MJ={kernelName:Hy,backendName:"webgl",kernelFunc:OJ};function LJ(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return bJ({inputs:{input:e},backend:n})})),i=e.map((function(e){return OJ({inputs:{input:e},backend:n})})),o=LJ(a,t,n),s=LJ(i,t,n),u=GY({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=jv(e.shape.slice(t));return sZ({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),p=c.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),h=_A(c.map((function(e){return e.shape})),1),f=1===c[0].shape[0],d=BX(p,h,r,f),m=_A(e.map((function(e){return e.shape})),t),v=n.makeTensorInfo(m,r,d);return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}if(e.length>Eg().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var g=Math.floor(e.length/2),y=LJ(e.slice(0,g),t,n),b=LJ(e.slice(g),t,n),x=LJ([y,b],t,n);return n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(b),x}if(Eg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){var w=new _J(e.map((function(e){return e.shape})),t);return n.runWebGLProgram(w,e,r)}var k=function(e,t,n){var r=_A(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return sZ({inputs:{x:e},attrs:{shape:[-1,jv(e.shape.slice(t))]},backend:n})})),outShape:r}}(e,t,n),N=k.tensors2D,I=k.outShape,S=new FJ(N.map((function(e){return e.shape}))),T=n.runWebGLProgram(S,N,r);N.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var C=sZ({inputs:{x:T},attrs:{shape:I},backend:n});return n.disposeIntermediateTensorInfo(T),C}function zJ(e){var t=e.inputs,n=e.backend,r=Jv(e.attrs.axis,t[0].shape)[0],a=_A(t.map((function(e){return e.shape})),r);if(0===jv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return jv(e.shape)>0}));return 1===i.length?VY({inputs:{x:i[0]},backend:n}):(FA(i.map((function(e){return e.shape})),r),LJ(i,r,n))}var PJ={kernelName:ay,backendName:"webgl",kernelFunc:zJ},BJ=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,o=e.padInfo.left,s=e.strideHeight,u=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4,m="channelsLast"===e.dataFormat,v=m?1:2,g=m?2:3,y=m?3:1,b="",x="";n&&(b=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+b+"\n\n      const ivec2 strides = ivec2("+s+", "+u+");\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+y+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+p+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+m+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+m+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+m+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+m+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1),\n                  getX(batch, xR, xC, "+f+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC),\n                  getX(batch, "+f+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+w+"\n        "+x+"\n        setOutput(result);\n      }\n    "},WJ=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterDepth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+c+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},VJ=function(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=n.dataFormat,h=s.left,f=s.top,d=a*r,m=eX(),v="channelsLast"===p,g=v?0:1,y=v?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+e[1]+" && pos < "+e[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+f+";\n            d0 = offsetY + "+c+" * (pos / "+d+");\n\n            if(d0 < "+t[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+h+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+d+".) / "+a+".));\n\n              if(d1 < "+t[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+a+".));\n\n                if ("+v+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "};function UJ(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=n.shape,m=i.texData.get(n.dataId),v=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[],w=(1===g||1===y)&&v>1e3,k=d[2]%2!=0&&!!m.isPacked;if(!w&&Eg().getBool("WEBGL_LAZILY_UNPACK")&&Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&k){var N=b?d[0]*d[1]*(d[2]+1):d[0]*d[2]*(d[3]+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]++,Wv(KK(m.shape,I.shape),(function(){return"packed reshape "+m.shape+" to "+I.shape+" isn't free"}));var T=sZ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var C=bZ({a:I,b:T,backend:i,transposeA:false,transposeB:false,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p}),E=i.texData.get(C.dataId);Wv(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),m.shape=S,E.shape=a.outShape,(t=VY({inputs:{x:C},backend:i})).shape=a.outShape,x.push(C)}else{var R=sZ({inputs:{x:n},backend:i,attrs:{shape:[1,b?d[0]*d[1]*d[2]:d[0]*d[2]*d[3],a.inChannels]}}),A=sZ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),F=bZ({a:R,b:A,transposeA:false,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p});t=sZ({inputs:{x:F},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(A),x.push(F)}for(var _=0,D=x;_<D.length;_++){var O=D[_];i.disposeIntermediateTensorInfo(O)}return t}function GJ(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,l=e.leakyreluAlpha,c=void 0===l?0:l,p=e.activation,h=void 0===p?null:p,f=r.filterWidth,d=r.filterHeight,m=r.inChannels,v=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*m,x=g*v,w=[b,x],k=[],N=sZ({inputs:{x:t},backend:a,attrs:{shape:t.shape.slice(1)}}),I=sZ({inputs:{x:n},backend:a,attrs:{shape:[1,b,jv(n.shape)/b]}});k.push(N),k.push(I);var S=new VJ(w,N.shape,r),T=a.runWebGLProgram(S,[N],"float32"),C=sZ({inputs:{x:T},backend:a,attrs:{shape:[1,w[0],w[1]]}});k.push(T),k.push(C);var E=null!=o,R=null!=u,A="leakyrelu"===h,F=h?$Y(h,!0):null,_=new eZ(C.shape,I.shape,[1,x,r.outChannels],!0,!1,E,F,R,A),D=[C,I];if(o&&D.push(o),R&&D.push(u),A){var O=a.makeTensorInfo([],"float32",Tw(c,"float32"));D.push(O),k.push(O)}var M=a.runWebGLProgram(_,D,"float32"),L=sZ({inputs:{x:M},backend:a,attrs:{shape:y?[1,g,v,r.outChannels]:[1,r.outChannels,g,v]}});k.push(M);for(var z=0,P=k;z<P.length;z++){var B=P[z];a.disposeIntermediateTensorInfo(B)}return L}var jJ={kernelName:iy,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=xS(l),f=pS(i.shape,o.shape,s,c,u,p,!1,h);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(Eg().getBool("WEBGL_CONV_IM2COL")&&1===i.shape[0])t=GJ({x:i,filter:o,convInfo:f,backend:r});else{var d=new BJ(f);t=r.runWebGLProgram(d,[i,o],"float32")}else t=UJ({x:i,filter:o,convInfo:f,backend:r});var m=sZ({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),m}},HJ=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},qJ=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    "},KJ=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    "},XJ=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 YJ={kernelName:oy,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=xS(u),h=pS(a.shape,c,o,1,s,l,!1,p),f=new HJ(h);return n.runWebGLProgram(f,[a,i],"float32")}};var ZJ={kernelName:sy,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=xS(l),h=pS(o,i.shape,s,1,u,c,!1,p),f=new qJ(h);return n.runWebGLProgram(f,[a,i],"float32")}};var JJ={kernelName:uy,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=hS(a.shape,i.shape,o,u,s),c=new WJ(l);return n.runWebGLProgram(c,[a,i],"float32")}};var QJ={kernelName:ly,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=hS(a.shape,u,o,1,s),c=new KJ(l);return n.runWebGLProgram(c,[a,i],"float32")}};var $J={kernelName:cy,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=hS(r.inputShape,i.shape,s,1,o),l=new XJ(u);return n.runWebGLProgram(l,[a,i],"float32")}},eQ=JY({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n"}),tQ={kernelName:py,backendName:"webgl",kernelFunc:eQ},nQ=JY({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),rQ={kernelName:hy,backendName:"webgl",kernelFunc:nQ},aQ=function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=o-1+".0",d=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+d+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+d],x=b[0],w=b[1],k=b[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+g+";\n        float width_scale = "+w+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+f+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+k+";\n        if( in_x < 0.0 || in_x > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},iQ={kernelName:dy,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 aQ(a.shape,i.shape,s,u,l);return n.runWebGLProgram(c,[a,i,o],"float32")}},oQ=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=t?"0.0":"getX("+sQ(r,"coords")+")",i=e[e.length-1],o="",s="";t?(o=n?"end != "+(i-1):"end != 0",s=n?"end + 1":"end - 1"):(o=n?"end + pow2 < "+i:"end >= pow2",s=n?"end + pow2":"end - pow2"),this.userCode="\n      uniform float index;\n      void main() {\n        "+FX(r)+" coords = getOutputCoords();\n        int end = "+uQ(r,"coords")+";\n        float val = "+a+";\n        int pow2 = int(pow(2.0, index));\n        if ("+o+") {\n          int idx = "+s+";\n          "+uQ(r,"coords")+" = idx;\n          val += getX("+sQ(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.index&&(t.index=n.getUniformLocation(r,"index")),n.gl.uniform1f(t.index,e)}},e}();function sQ(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}function uQ(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var lQ={kernelName:fy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse,u=a.shape.length,l=ZT([i],u),c=a;null!=l&&(c=gZ({inputs:{x:a},backend:n,attrs:{perm:l}}));var p=QT(1,u)[0];if(p!==u-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(a.shape.length-1)+" but got axis="+i);for(var h=c.shape[p],f=VY({inputs:{x:c},backend:n}),d=0;d<=Math.ceil(Math.log2(h))-1;d++){var m=new oQ(c.shape,!1,s),v=m.getCustomSetupFunc(d),g=f;f=n.runWebGLProgram(m,[f],f.dtype,v),n.disposeIntermediateTensorInfo(g)}if(o){var y=new oQ(c.shape,o,s),b=f;f=n.runWebGLProgram(y,[f],f.dtype),n.disposeIntermediateTensorInfo(b)}if(null!=l){var x=gZ({inputs:{x:f},backend:n,attrs:{perm:JT(l)}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(c),x}return f}};var cQ={kernelName:my,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=LX(u,l,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}if(2===a.shape.length){var p=n.bufferSync(a),h=n.bufferSync(i),f=zX(p,h,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}},pQ=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 hQ={kernelName:vy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Wv(i>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+i}));var s=a.shape[0],u="NHWC"===o?a.shape[1]:a.shape[2],l="NHWC"===o?a.shape[2]:a.shape[3],c="NHWC"===o?a.shape[3]:a.shape[1],p=u*i,h=l*i,f=c/(i*i),d=new pQ("NHWC"===o?[s,p,h,f]:[s,f,p,h],i,o);return n.runWebGLProgram(d,[a],a.dtype)}},fQ=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.inHeight,o=e.inWidth,s=e.padInfo.top,u=e.padInfo.left,l=e.strideHeight,c=e.strideWidth,p=e.dilationHeight,h=e.dilationWidth,f=e.filterHeight,d=e.filterWidth,m=e.outChannels/e.inChannels,v="",g="";n&&(v=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        ",g="result = activation(result);");var y=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+l+", "+c+");\n      const ivec2 pads = ivec2("+s+", "+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 / "+m+";\n        int q = d2 - d1 * "+m+";\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 < "+f+"; wR++) {\n          int xR = xRCorner + wR * "+p+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+d+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+o+") {\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        "+y+"\n        "+g+"\n        setOutput(result);\n      }\n    "},dQ=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.outputShape=e.outShape;for(var i=e.outChannels/e.inChannels,o=e.inHeight,s=e.inWidth,u=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,h=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,m=e.filterWidth,v=m,g="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",y=0;y<m;y++)g+="\n          vec4 xTexelC"+2*y+";\n          int xTexelC"+2*y+"Ready;\n          vec4 xC"+y+";";for(var b=0;b<d;b++){for(var x=0;x<m;x++)g+="\n          xTexelC"+2*x+" = vec4(0.0);\n          xTexelC"+2*x+"Ready = 0;\n          xC"+x+" = vec4(0.0);";g+="\n        xR = xRCorner + "+b*h+";\n        if (xR >=0 && xR < "+o+") {\n      ";for(var w=0;w<(v+1)/2;w++){var k=2*w,N=k*f;if(g+="\n          xC = xCCorner + "+N+";\n          ",1===p){if(k<m&&(l%2==1?(g+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+N+"Ready == 0) {\n                  xTexelC"+N+" = 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 >= "+s+") {\n                    xTexelC"+N+".zw = vec2(0.0);\n                  }\n                  xTexelC"+N+"Ready = 1;\n                }\n              ",g+=1===f&&N>0?"\n                xC"+k+" = vec4(xTexelC"+(N-2)+".zw, xTexelC"+N+".xy);\n                ":"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < "+s+") {\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 >= "+s+") {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC"+k+" = vec4(previous.zw, xTexelC"+N+".xy);\n                  } else {\n                    xC"+k+" = vec4(0.0, 0.0, xTexelC"+N+".xy);\n                  }\n                  "):g+="\n                if (xC >= 0 && xC < "+s+" && xTexelC"+N+"Ready == 0) {\n                  xTexelC"+N+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= "+s+") {\n                    xTexelC"+N+".zw = vec2(0.0);\n                  }\n                  xTexelC"+N+"Ready = 1;\n                }\n\n                xC"+k+" = xTexelC"+N+";\n                ",N+1<m)){var I=l%2==0?Pv(f):f;f%2==0&&l%2==1||f%2!=0&&l%2!=1?(g+="\n                  xCOffset = xC + "+l%2+" + "+I+";\n\n                  if (xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+(N+2)+"Ready == 0) {\n                    xTexelC"+(N+2)+" = 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 >= "+s+") {\n                      xTexelC"+(N+2)+".zw = vec2(0.0);\n                    }\n                    xTexelC"+(N+2)+"Ready = 1;\n                  }\n                  ",f>1&&(g+="\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+N+"Ready == 0) {\n                      xTexelC"+N+" = getX(batch, xR, xCOffset, d1);\n                      xTexelC"+N+"Ready = 1;\n                    }\n                    "),g+="\n                  xC"+(k+1)+" = vec4(xTexelC"+N+".zw, xTexelC"+(N+2)+".xy);\n                  "):g+=1===I?"\n                    xC"+(k+1)+" = xTexelC"+N+";\n                    ":"\n                    xCOffset = xC + "+I+";\n\n                    if (xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+(N+2)+"Ready == 0) {\n                      xTexelC"+(N+2)+" = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= "+s+") {\n                        xTexelC"+(N+2)+".zw = vec2(0.0);\n                      }\n                      xTexelC"+(N+2)+"Ready = 1;\n                    }\n\n                    xC"+(k+1)+" = xTexelC"+(N+2)+";\n                    "}}else N<m&&(l%2==1?(g+="\n                xCOffset = xC + 1 - "+p+";\n                if(xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+N+"Ready == 0) {\n                  xTexelC"+N+" = 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 >= "+s+") {\n                    xTexelC"+N+".zw = vec2(0.0);\n                  }\n                  xTexelC"+N+"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+s+" && xTexelC"+(N+2)+"Ready == 0) {\n                  xTexelC"+(N+2)+" = 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 >= "+s+") {\n                    xTexelC"+(N+2)+".zw = vec2(0.0);\n                  }\n                  xTexelC"+(N+2)+"Ready = 1;\n                }\n\n                xC"+k+" = vec4(xTexelC"+N+".zw, xTexelC"+(N+2)+".zw);\n              ",N+1<m&&(g+="\n                  final = vec4(0.0);\n                  xCOffset = xC + 1 + "+p+";\n                  if(xCOffset >= 0 && xCOffset < "+s+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xC"+(k+1)+" = vec4(xTexelC"+(N+2)+".xy, final.xy);\n                ")):(g+="\n                if(xC >= 0 && xC < "+s+" && xTexelC"+N+"Ready == 0) {\n                  xTexelC"+N+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= "+s+") {\n                    xTexelC"+N+".zw = vec2(0.0);\n                  }\n                  xTexelC"+N+"Ready = 1;\n                }\n\n                xCOffset = xC + "+p+";\n                if(xCOffset >= 0 && xCOffset < "+s+" && xTexelC"+(N+2)+"Ready == 0) {\n                  xTexelC"+(N+2)+" = getX(batch, xR, xCOffset, d1);\n                  if (xCOffset + 1 >= "+s+") {\n                    xTexelC"+(N+2)+".zw = vec2(0.);\n                  }\n                  xTexelC"+(N+2)+"Ready = 1;\n                }\n\n                xC"+k+" = vec4(\n                  xTexelC"+N+".xy, xTexelC"+(N+2)+".xy);\n              ",N+1<m&&(g+="\n                  xC"+(k+1)+" = vec4(xTexelC"+N+".zw, xTexelC"+(N+2)+".zw);\n                ")));k<m&&(g+="\n            wTexel = getW("+b+", "+N+", d1, q);\n            dotProd += xC"+k+" * vec4(wTexel.xz, wTexel.xz);\n          ",N+1<m&&(g+="\n              wTexel = getW("+b+", "+(N+1)+", d1, q);\n              dotProd += xC"+(k+1)+" * vec4(wTexel.xz, wTexel.xz);\n            "))}g+="\n        }\n      "}var S="",T="";n&&(S=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        }",T="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      "+S+"\n\n      const ivec2 strides = ivec2("+c+", "+p+");\n      const ivec2 pads = ivec2("+u+", "+l+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+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        "+g+"\n\n        vec4 result = dotProd - vec4(0.000000000000001);\n        "+C+"\n        "+T+"\n        setOutput(result);\n      }\n    "};var mQ={kernelName:gy,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]),Wv(bS(o,c),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p,h=pS(a.shape,i.shape,o,c,s,l,!0);return p=Eg().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new dQ(h):new fQ(h),n.runWebGLProgram(p,[a,i],"float32")}},vQ=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    "},gQ=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var yQ={kernelName:yy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=r.filterShape,p=pS(a.shape,c,o,s,u,l,!0),h=new vQ(p);return n.runWebGLProgram(h,[a,i],"float32")}};var bQ={kernelName:by,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,l=r.dimRoundingMode,c=pS(r.inputShape,i.shape,o,s,u,l,!0),p=new gQ(c);return n.runWebGLProgram(p,[a,i],"float32")}},xQ=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "};var wQ={kernelName:xy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=[].concat(r.shape,r.shape),i=jv(r.shape),o=sZ({inputs:{x:r},backend:n,attrs:{shape:[i]}}),s=new xQ(i),u=n.runWebGLProgram(s,[o],o.dtype),l=sZ({inputs:{x:u},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),l}},kQ=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo,a=e.strideHeight,i=e.strideWidth,o=e.filterHeight,s=e.filterWidth,u=e.dilationHeight,l=e.dilationWidth,c=r.top,p=r.left;this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float neg_infinity = -3.4e38;\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.w;\n        ivec2 outTopLeftCorner =\n            coords.yz * strides - pads;\n        int hBeg = outTopLeftCorner.x;\n        int wBeg = outTopLeftCorner.y;\n\n        float curVal = neg_infinity;\n        for (int h = 0; h < "+o+"; h++) {\n          int hIn = hBeg + h * "+u+";\n\n          if (hIn >= 0 && hIn < "+t+") {\n            for (int w = 0; w < "+s+"; w++) {\n              int wIn = wBeg + w * "+l+";\n\n              if (wIn >= 0 && wIn < "+n+") {\n                float xVal = getX(batch, hIn, wIn, d1);\n                float wVal = getW(h, w, d1);\n\n                float val = xVal + wVal;\n                if (val > curVal) {\n                  curVal = val;\n                }\n              }\n            }\n          }\n        }\n\n        float result = curVal;\n        setOutput(result);\n      }\n    "};var NQ={kernelName:wy,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,l=a.dilations,c=uS(i.shape,o.shape,s,u,"NHWC",l),p=new kQ(c),h=sZ({inputs:{x:t=r.runWebGLProgram(p,[i,o],"float32")},backend:r,attrs:{shape:c.outShape}});return r.disposeIntermediateTensorInfo(t),h}};var IQ={kernelName:Sy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=iF(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;sF(i.length,s,r);for(var u=uF(o,s),l=u.path,c=u.steps,p=c.length,h=null,f=i.length,d=[],m=0;m<p;++m){for(var v,g=_v(c[m]);!(v=g()).done;){var y=v.value,b=oF(f,s[y]),x=b.permutationIndices,w=b.expandDims,k=void 0;lF(x)?k=r[y]:(k=gZ({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(k));for(var N=k.shape.slice(),I=0;I<w.length;++I)N.splice(w[I],0,1);Hv(k.shape,N)||(k=sZ({inputs:{x:k},backend:n,attrs:{shape:N}}),d.push(k)),null===h?h=k:(h=iZ({inputs:{a:k,b:h},backend:n}),d.push(h))}m<p-1&&(l[m]>=0&&(h=mZ({inputs:{x:h},backend:n,attrs:{axis:l[m]-(i.length-f),keepDims:!1}}),d.push(h)),f--)}for(var S=0,T=d;S<T.length;S++){var C=T[S];C!==h&&n.disposeIntermediateTensorInfo(C)}return h}},SQ=JY({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n"}),TQ={kernelName:Ty,backendName:"webgl",kernelFunc:SQ},CQ={kernelName:Cy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y,i=Eg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new WY("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new BY("return (b >= 1.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(i,[r,a],r.dtype)}},EQ=QY({opSnippet:"return float(a == b);",packedOpSnippet:"\n  return vec4(equal(a, b));\n",dtype:"bool",cpuKernelImpl:WX}),RQ={kernelName:Ry,backendName:"webgl",kernelFunc:EQ},AQ=JY({opSnippet:'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n'}),FQ={kernelName:Ey,backendName:"webgl",kernelFunc:AQ},_Q="return exp(x);",DQ=JY({opSnippet:_Q,packedOpSnippet:_Q,cpuKernelImpl:VX}),OQ={kernelName:Ay,backendName:"webgl",kernelFunc:DQ};function MQ(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.dim,i=t.input,o=i.shape.length,s=i.shape.slice(),u=a;return a<0&&(Wv(-(o+1)<=a,(function(){return"Axis must be in the interval ["+-(o+1)+", "+o+"]"})),u=o+a+1),s.splice(u,0,1),sZ({inputs:{x:i},backend:r,attrs:{shape:s}})}var LQ={kernelName:Fy,backendName:"webgl",kernelFunc:MQ},zQ="return exp(x) - 1.0;",PQ=JY({opSnippet:zQ,packedOpSnippet:zQ,cpuKernelImpl:UX}),BQ={kernelName:_y,backendName:"webgl",kernelFunc:PQ},WQ=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var a,i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,o=n?r+".0":"1.0";if("real"===e)a="return real * expR - imag * expI;";else{if("imag"!==e)throw new Error('FFT component must be either "real" or "imag", got '+e+".");a="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+a+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+o+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "};function VQ(e,t,n){var r=n.texData.get(e.dataId),a=jv(e.shape),i=e.shape[e.shape.length-1],o=sZ({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new WQ("real",s,t),l=new WQ("imag",s,t),c=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:s},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:s}],p=n.runWebGLProgram(u,c,"float32"),h=n.runWebGLProgram(l,c,"float32"),f=GY({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);var d=sZ({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),d}var UQ={kernelName:Dy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return VQ(t.input,!1,n)}},GQ=function(){function e(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.valueLoc&&(t.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(t.valueLoc,e)}},e}();function jQ(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||cg(a))){var o=eg(i,jv(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new GQ(r,a),u=s.getCustomSetupFunc(a);return t.runWebGLProgram(s,[],i,u)}var HQ,qQ={kernelName:Oy,backendName:"webgl",kernelFunc:jQ},KQ=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;\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    "},XQ={kernelName:My,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new KQ(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},YQ="return floor(x);",ZQ=JY({opSnippet:YQ,packedOpSnippet:YQ,cpuKernelImpl:GX}),JQ={kernelName:Ly,backendName:"webgl",kernelFunc:ZQ},QQ=QY({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"}),$Q={kernelName:zy,backendName:"webgl",kernelFunc:QQ},e$=function(e){this.variableNames=["A"];var t=eX(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},t$=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=eX(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+t.output+" = result;\n      }\n    "},n$={kernelName:Rx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,u=o?[a.videoWidth,a.videoHeight]:[a.width,a.height],l=u[0],c=u[1],p=[c,l],h=[c,l,i];(s||o)&&(null==HQ&&(HQ=document.createElement("canvas").getContext("2d")),HQ.canvas.width=l,HQ.canvas.height=c,HQ.drawImage(a,0,0,l,c),a=HQ.canvas);var f=n.makeTensorInfo(p,"int32");n.texData.get(f.dataId).usage=bK.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);var d=Eg().getBool("WEBGL_PACK")?new t$(h):new e$(h),m=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),m}};var r$={kernelName:_x,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,l=a.strides,c=a.pad,p=a.dataFormat,h=a.dilations,f=a.dimRoundingMode,d=a.activation,m=a.leakyreluAlpha,v=xS(p),g=pS(i.shape,o.shape,l,h,c,f,!1,v),y=[];if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(Eg().getBool("WEBGL_CONV_IM2COL")&&1===i.shape[0])t=GJ({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});else{var b=null!=s,x=null!=u,w="leakyrelu"===d,k=d?$Y(d,!1):null,N=new BJ(g,b,k,x,w),I=[i,o];if(s&&I.push(s),u&&I.push(u),w){var S=r.makeTensorInfo([],"float32",Tw(m,"float32"));I.push(S),y.push(S)}t=r.runWebGLProgram(N,I,"float32")}else t=UJ({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});var T=sZ({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),T}};var a$={kernelName:Dx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dilations,p=r.dimRoundingMode,h=r.activation,f=r.leakyreluAlpha,d=[],m=c;null==m&&(m=[1,1]),Wv(bS(u,m),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. 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NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:JX}),T$={kernelName:$y,backendName:"webgl",kernelFunc:S$},C$=JY({opSnippet:"return log(1.0 + x);"}),E$={kernelName:eb,backendName:"webgl",kernelFunc:C$},R$=QY({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),A$={kernelName:tb,backendName:"webgl",kernelFunc:R$},F$=JY({opSnippet:"return float(!(x >= 1.0));"}),_$={kernelName:nb,backendName:"webgl",kernelFunc:F$},D$=QY({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),O$={kernelName:rb,backendName:"webgl",kernelFunc:D$},M$=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    "},L$=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    "},z$={kernelName:ib,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=Eg().getBool("WEBGL_PACK_NORMALIZATION")?new L$(a.shape,i,o,s,u):new M$(a.shape,i,o,s,u);return n.runWebGLProgram(l,[a],a.dtype)}},P$=function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},B$={kernelName:ob,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 P$(a.shape,s,u,l,c);return n.runWebGLProgram(p,[a,i,o],a.dtype)}};function W$(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=Jv(i,a.shape),l=u,c=ZT(l,s),p=null!=c,h=n.shouldExecuteOnCPU([a]),f=a;if(p){if(h){for(var d=n.texData.get(f.dataId).values,m=new Array(s),v=0;v<m.length;v++)m[v]=a.shape[c[v]];var g=bY(d,a.shape,a.dtype,c,m);f=n.makeTensorInfo(m,a.dtype),n.texData.get(f.dataId).values=g}else f=dZ(a,c,n);l=QT(l.length,s)}YT("max",l,s);var y,b=KT(f.shape,l),x=b[0],w=b[1],k=x;if(o&&(k=XT(x,u)),h){var N=n.texData.get(f.dataId).values,I=QX(N,jv(w),k,a.dtype);y=n.makeTensorInfo(k,a.dtype),n.texData.get(y.dataId).values=I}else y=function(e,t,n,r){var a=jv(t),i=sZ({inputs:{x:e},attrs:{shape:[jv(e.shape)/a,a]},backend:r}),o=pZ(i,e.dtype,"max",r),s=sZ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,w,k,n);return p&&n.disposeIntermediateTensorInfo(f),y}var V$={kernelName:sb,backendName:"webgl",kernelFunc:W$},U$=QY({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:$X}),G$={kernelName:ub,backendName:"webgl",kernelFunc:U$};var j$={kernelName:lb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;QK(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Wv(bS(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=lS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Hv(l.inShape,l.outShape))return VY({inputs:{x:a},backend:n});var c=new QZ(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var H$={kernelName:pb,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=cS(a.shape,i,o,[1,1,1],s,l,u),p=new $Z(c,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}},q$=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    "},K$=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=s-1-e.padInfo.front,p=u-1-e.padInfo.top,h=l-1-e.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var X$={kernelName:hb,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=cS(i.shape,o,s,[1,1,1],u,l),p=new $Z(c,"max",!0),h=n.runWebGLProgram(p,[i],i.dtype),f=new K$(c),d=n.runWebGLProgram(f,[a,h],i.dtype);return n.disposeIntermediateTensorInfo(h),d}};var Y$={kernelName:cb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;QK([i,t.output],"maxPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=lS(o.shape,s,u,1,l,c),h=new QZ(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),d=new q$(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var Z$={kernelName:fb,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;Wv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Wv(bS(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:eY}),e0={kernelName:vb,backendName:"webgl",kernelFunc:$$},t0=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=FX(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      "},n0=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=FX(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=kY("rc",r),u=kY("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p="reflect"===n?0:1,h="";if(1===r){var f="\n        "+a+" source = rc;\n        if (source < start) {\n          source = start * 2 - source - "+p+";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + "+p+";\n        }\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+f+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+f+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      "}else{var d="\n        "+a+" source = rc;\n        "+a+" lt = "+a+"(lessThan(source, start));\n        "+a+" gte = "+a+"(greaterThanEqual(source, end));\n        "+a+" orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - "+p+") +\n                gte * ((end - 1) * 2 - source + "+p+");\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+d+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+d+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n        rc = outputLoc;\n        "+s[r-2]+" += 1;\n        if("+s[r-2]+" < "+this.outputShape[r-2]+") {\n          "+d+"\n          result[2] = getChannel(getX("+u.join()+"), "+c+");\n          "+s[r-1]+" += 1;\n          if("+l+") {\n            "+d+"\n            result[3] = getChannel(getX("+u.join()+"), "+c+");\n          }\n        }\n      "}this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "},r0={kernelName:gb,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=Eg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new n0(a.shape,i,o):new t0(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},a0=QY({opSnippet:"if (b == 0.0) return NAN;\n  return mod(a, b);",packedOpSnippet:"\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),i0={kernelName:yb,backendName:"webgl",kernelFunc:a0},o0=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(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    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),s0=QY({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}),u0={kernelName:Iy,backendName:"webgl",kernelFunc:s0},l0="return a - b;",c0=QY({opSnippet:l0,packedOpSnippet:l0,supportsComplex:!0,cpuKernelImpl:vY}),p0={kernelName:gx,backendName:"webgl",kernelFunc:c0};function h0(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=Jv([r.dim],a.shape),o=W$({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=XT(o.shape,i),u=sZ({inputs:{x:o},backend:n,attrs:{shape:s}}),l=c0({inputs:{a:a,b:u},backend:n}),c=DQ({inputs:{x:l},backend:n}),p=mZ({inputs:{x:c},backend:n,attrs:{axis:i,keepDims:!1}}),h=sZ({inputs:{x:p},backend:n,attrs:{shape:s}}),f=s0({inputs:{a:c,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var f0={kernelName:ix,backendName:"webgl",kernelFunc:h0};var d0={kernelName:bb,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:h0({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new o0(l,c,i),h=p.getCustomSetupFunc(o),f=n.runWebGLProgram(p,[u],"int32",h);return s||n.disposeIntermediateTensorInfo(u),f}},m0="return -x;";var v0={kernelName:wb,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=nY(i.values,a.shape,a.dtype),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=Eg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new DY(a.shape,m0):new RY(a.shape,m0),r.runWebGLProgram(t,[a],a.dtype)}},g0=TR;var y0={kernelName:Nb,backendName:"webgl",kernelFunc:function(e){XA("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=g0(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},b0=CR;var x0={kernelName:Ib,backendName:"webgl",kernelFunc:function(e){XA("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=b0(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},w0=ER;var k0={kernelName:Sb,backendName:"webgl",kernelFunc:function(e){XA("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=w0(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}},N0=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    "},I0={kernelName:Cb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.depth,o=r.onValue,s=r.offValue,u=jv(a.shape),l=new N0(u,i,o,s),c=sZ({inputs:{x:a},backend:n,attrs:{shape:[u]}}),p=n.runWebGLProgram(l,[c],a.dtype);n.disposeIntermediateTensorInfo(c);var h=sZ({inputs:{x:p},backend:n,attrs:{shape:[].concat(a.shape,[i])}});return n.disposeIntermediateTensorInfo(p),h}};function S0(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=bJ({inputs:{input:r},backend:n}),i=S0({inputs:{x:a},backend:n}),o=OJ({inputs:{input:r},backend:n}),s=S0({inputs:{x:o},backend:n}),u=GY({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return jQ({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var T0={kernelName:Cx,backendName:"webgl",kernelFunc:S0};var C0={kernelName:Tb,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=bJ({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=OJ({inputs:{input:a},backend:r}),u=S0({inputs:{x:s},backend:r}),l=GY({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return jQ({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var E0={kernelName:Eb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return MQ({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Vv(a,e.shape,"All tensors passed to stack must have matching shapes"),Wv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=zJ({inputs:t.map((function(e){var t=MQ({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}},R0=function(){function e(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=FX(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      uniform float value;\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 - 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isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n"}),O0={kernelName:Ab,backendName:"webgl",kernelFunc:D0};var M0={kernelName:_b,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=Jv(o,i.shape),p=c,h=ZT(p,u),f=i;if(null!=h&&(f=gZ({inputs:{x:i},backend:r,attrs:{perm:h}}),p=QT(p.length,u),l.push(f)),YT("prod",p,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,m=aY(f.shape,f.dtype,d,p),v=m.outVals,g=m.outShape,y=m.outDtype;t=r.makeTensorInfo(g,y,v)}else{var b=KT(f.shape,p),x=b[0],w=jv(b[1]),k=sZ({inputs:{x:f},backend:r,attrs:{shape:[-1,w]}}),N=pZ(k,$w(i.dtype),"prod",r);t=sZ({inputs:{x:N},backend:r,attrs:{shape:x}}),l.push(k),l.push(N)}if(s){l.push(t);var I=XT(t.shape,c);t=sZ({inputs:{x:t},backend:r,attrs:{shape:I}})}return l.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}},L0=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=iY(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},z0={kernelName:Db,backendName:"webgl",kernelFunc:L0},P0=JY({opSnippet:"return 1.0 / x;"}),B0={kernelName:Mb,backendName:"webgl",kernelFunc:P0},W0=JY({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"}),V0={kernelName:Lb,backendName:"webgl",kernelFunc:W0},U0=JY({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"}),G0={kernelName:Ub,backendName:"webgl",kernelFunc:U0},j0=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    "},H0=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 q0={kernelName:Wb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size,u=s[0],l=s[1],c=Eg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new H0(a.shape,u,l,i,o):new j0(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],"float32")}},K0=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+i+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+o+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(r-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "};var X0={kernelName:Vb,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 K0(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},Y0=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    "},Z0=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 J0={kernelName:Pb,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=Eg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Z0(a.shape,u,l,i,o):new Y0(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],a.dtype)}},Q0=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+i+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+o+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+s[0]+") *\n                (float(dyR) / float("+u[0]+"));\n\n            float sourceFracCol =\n                float("+s[1]+") *\n                  (float(dyC) / float("+u[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+r+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "};var $0={kernelName:Bb,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 Q0(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},e1=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=FX(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      "},t1=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=kY("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=FX(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 n1={kernelName:Gb,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=Jv(i,a.shape);if(0===o)return VY({inputs:{x:a},backend:n});var u=Eg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new t1(a.shape,s):new e1(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},r1=function(){function e(e,t){this.variableNames=["Image"],this.outputShape=[];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        uniform vec4 params;\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    "}return e.prototype.getCustomSetupFunc=function(e,t,n,r){var a=this;return function(i,o){null==a.paramsLoc&&(a.paramsLoc=i.getUniformLocationNoThrow(o,"params")),i.gl.uniform4f(a.paramsLoc,e,t,n,r)}},e}(),a1={kernelName:Ax,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 r1(a.shape,o),c=OA(s,a.shape[1],a.shape[2]),p=c[0],h=c[1],f=l.getCustomSetupFunc(p,h,Math.sin(i),Math.cos(i));return u.runWebGLProgram(l,[a],a.dtype,f)}},i1=JY({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"}),o1={kernelName:jb,backendName:"webgl",kernelFunc:i1},s1=JY({opSnippet:"return inversesqrt(x);",cpuKernelImpl:oY}),u1={kernelName:Hb,backendName:"webgl",kernelFunc:s1},l1=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=FX(a.length),u=FX(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "};var c1={kernelName:qb,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=sI(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,f=[h/c,c];if(0===h)return n.makeTensorInfo(o,a.dtype);var d=sZ({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=sZ({inputs:{x:i},backend:n,attrs:{shape:[l,c]}}),v=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new l1(l,u,d.shape.length,m.shape.length,p,f),y=n.runWebGLProgram(g,[m,d,v],m.dtype),b=sZ({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(v),b}},p1=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=FX(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "};var h1={kernelName:Kb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new p1(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],Qw(a.dtype,i.dtype))}},f1=JY({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"}),d1={kernelName:Xb,backendName:"webgl",kernelFunc:f1},m1=JY({opSnippet:"return 1.0 / (1.0 + exp(-1.0 * x));"}),v1={kernelName:$b,backendName:"webgl",kernelFunc:m1},g1=JY({opSnippet:"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n"}),y1={kernelName:Qb,backendName:"webgl",kernelFunc:g1},b1=JY({opSnippet:"if (isnan(x)) return x;\n  return sin(x);\n"}),x1={kernelName:Zb,backendName:"webgl",kernelFunc:b1},w1=JY({opSnippet:"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n"}),k1={kernelName:Jb,backendName:"webgl",kernelFunc:w1},N1=JY({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"}),I1={kernelName:ex,backendName:"webgl",kernelFunc:N1},S1={kernelName:rx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.paddings;Wv(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=F0({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),h=MA(p.shape,i,s,!1),f=LA(h.length,i.length,!1),d=zA(p.shape,i,s,!1),m=sZ({inputs:{x:p},backend:n,attrs:{shape:h}}),v=gZ({inputs:{x:m},backend:n,attrs:{perm:f}}),g=sZ({inputs:{x:v},backend:n,attrs:{shape:d}});return c.push(p),c.push(m),c.push(v),c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var T1={kernelName:ox,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=lY(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var C1={kernelName:sx,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=cY(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 E1={kernelName:ux,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=pY(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var R1={kernelName:lx,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=pY(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var A1={kernelName:cx,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=sI(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.strides,h=u.outputSize,f=new l1(c,l,a.shape.length,i.shape.length,p,[h,1],!1),d=n.runWebGLProgram(f,[i,a,o],i.dtype),m=sZ({inputs:{x:d},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(d),m}};var F1={kernelName:ax,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=Jv(r.axis,a.shape)[0],s=pF(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=fJ({inputs:{x:a},backend:n,attrs:{begin:l,size:t}});return l[o]+=e,r}))}},_1=JY({opSnippet:"return sqrt(x);"}),D1={kernelName:tx,backendName:"webgl",kernelFunc:_1},O1={kernelName:hx,backendName:"webgl",kernelFunc:JY({opSnippet:"return x * x;"})},M1="return (a - b) * (a - b);",L1=QY({opSnippet:M1,packedOpSnippet:M1}),z1={kernelName:px,backendName:"webgl",kernelFunc:L1};var P1={kernelName:Ex,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=AY+"\n    return x > 0.0 ? 1.0 : float("+n.alpha+");\n  ",o=new RY(a.shape,i);return r.runWebGLProgram(o,[a],a.dtype)}},B1=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=FX(n.length),i=FX(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 W1={kernelName:fx,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.begin,s=a.end,u=a.strides,l=a.beginMask,c=a.endMask,p=a.ellipsisMask,h=a.newAxisMask,f=a.shrinkAxisMask,d=II(i.shape,o,s,u,l,c,p,h,f),m=d.nonStrided,v=d.$begin,g=d.$strides,y=d.size,b=d.newShape,x=d.outShape,w=sZ({inputs:{x:i},backend:r,attrs:{shape:b}});if(m){var k=fJ({inputs:{x:w},backend:r,attrs:{begin:v,size:y}});t=sZ({inputs:{x:k},backend:r,attrs:{shape:x}}),r.disposeIntermediateTensorInfo(k)}else if(x.some((function(e){return 0===e})))t=r.makeTensorInfo(x,i.dtype,[]);else{if(r.shouldExecuteOnCPU([w])){var N=r.texData.get(w.dataId).values,I=NN(w.shape,w.dtype,N),S=hY(x,I,g,v);t=r.makeTensorInfo(x,w.dtype,S.values)}else{var T=new B1(v,g,x);t=r.runWebGLProgram(T,[w],w.dtype)}}var C=sZ({inputs:{x:t},backend:r,attrs:{shape:x}});return r.disposeIntermediateTensorInfo(w),r.disposeIntermediateTensorInfo(t),C}};var V1={kernelName:dx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,l=r.preserveShortSequences,c=t.data,p=t.dataSplits,h=n.readSync(c.dataId),f=n.readSync(p.dataId),d=fY(h,f,a,i,o,s,u,l),m=d[0],v=d[1];return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(p.shape,"int32",v)]}};var U1={kernelName:mx,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=dY(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 G1={kernelName:vx,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=mY(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},j1=JY({opSnippet:"return tan(x);"}),H1={kernelName:yx,backendName:"webgl",kernelFunc:j1},q1=JY({opSnippet:"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"}),K1=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=FX(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 X1(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 Fw(e)})):o,u=NN(a.shape,a.dtype,s),l=gY(u,i);return n.makeTensorInfo(l.shape,l.dtype,l.values)}var c=new K1(a.shape,i);return n.runWebGLProgram(c,[a],a.dtype)}var Y1=function(e,t,n,r,a,i){this.variableNames=["Image","Transforms"],this.outputShape=i;var o,s="nearest"===n?1:2;switch(r){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if("+o+" == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    if (inCoord < sz2) {\n                      inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n                      inCoord;\n                    }\n                    inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    inCoord -= sz2 * float(int(float(inCoord / sz2)));\n                    if (inCoord >= len) {\n                      inCoord = sz2 - inCoord - 1.0;\n                    }\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if ("+o+" == 3) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if ("+o+" == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < "+e+" && 0 <= coordX && coordX < "+t+") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float("+a+");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float("+a+");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float("+t+"));\n                float mapY = mapCoord(inY, float("+e+"));\n\n                if ("+s+" == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        "};var Z1=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "};for(var 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