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/**
* @license
* Copyright 2020 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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o=$g(e,"forgetBias","basicLSTMCell"),s=$g(t,"lstmKernel","basicLSTMCell"),u=$g(n,"lstmBias","basicLSTMCell"),l=$g(r,"data","basicLSTMCell"),c=$g(a,"c","basicLSTMCell"),p=$g(i,"h","basicLSTMCell"),h=rw([l,p],1),f=xb(h,s),d=mx(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=iw(d,[0,0],g),b=iw(d,[0,v],g),x=iw(d,[0,2*v],g),w=iw(d,[0,3*v],g),k=mx(yx(aw(y),ow(b)),yx(c,aw(mx(o,x))));return[k,yx(ow(k),aw(w))]}});var uw=ty({batchToSpaceND_:function(e,t,n){var r=$g(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Av(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Av(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length "+t.length})),Av(r.shape[0]%a==0,(function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a}));var i={x:r},o={blockShape:t,crops:n};return Hg.runKernelFunc((function(e){return e.batchToSpaceND(r,t,n)}),i,null,"BatchToSpaceND",o)}});function lw(e){return null==e?null:0===e.rank?bb(e,[e.size]):1===e.rank?e:2===e.rank?bb(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?bb(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}var cw=ty({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=$g(e,"x","batchNorm"),l=$g(t,"mean","batchNorm"),c=$g(n,"variance","batchNorm");null!=a&&(o=$g(a,"scale","batchNorm")),null!=r&&(s=$g(r,"offset","batchNorm")),Av(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Av(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Av(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p=function(e){return 0===e.rank||1===e.rank?bb(e,[1,1,1,e.size]):2===e.rank?bb(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?bb(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),h={x:p,scale:o,offset:s,mean:l,variance:c},f={varianceEpsilon:i},d=Hg.runKernelFunc((function(e,t){return t([p,l,c,o]),e.batchNorm(p,lw(l),lw(c),lw(s),lw(o),i)}),h,null,"FusedBatchNorm",f);return bb(d,u.shape)}});var pw=ty({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=$g(e,"x","batchNorm"),l=$g(t,"mean","batchNorm"),c=$g(n,"variance","batchNorm");return null!=a&&(o=$g(a,"scale","batchNorm")),null!=r&&(s=$g(r,"offset","batchNorm")),Av(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Av(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Av(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."})),null!=o&&Av(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."})),null!=s&&Av(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),cw(u,l,c,s,o,i)}});var hw=ty({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=$g(e,"x","batchNorm"),l=$g(t,"mean","batchNorm"),c=$g(n,"variance","batchNorm");return null!=a&&(o=$g(a,"scale","batchNorm")),null!=r&&(s=$g(r,"offset","batchNorm")),Av(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Av(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Av(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&&Av(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&&Av(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),cw(u,l,c,s,o,i)}});var fw=ty({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=$g(e,"x","batchNorm"),l=$g(t,"mean","batchNorm"),c=$g(n,"variance","batchNorm");return null!=a&&(o=$g(a,"scale","batchNorm")),null!=r&&(s=$g(r,"offset","batchNorm")),Av(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Av(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Av(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."})),null!=o&&Av(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&Av(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),cw(u,l,c,s,o,i)}});var dw=ty({broadcastTo_:function(e,t){var n=$g(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=bb(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 $y(n);var u={x:n},l={shape:t,inputShape:i};return Hg.runKernelFunc((function(e){return e.tile(n,o)}),u,null,"BroadcastTo",l)}});var mw=ty({ceil_:function(e){var t=$g(e,"x","ceil"),n={x:t};return Hg.runKernelFunc((function(e){return e.ceil(t)}),n,null,"Ceil")}});var vw=ty({clipByValue_:function(e,t,n){var r=$g(e,"x","clipByValue");Av(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."}));var a={x:r},i={clipValueMin:t,clipValueMax:n};return Hg.runKernelFunc((function(e,a){var i=e.clip(r,t,n);return a([r]),i}),a,null,"ClipByValue",i)}});var gw=ty({concat1d_:function(e){return rw(e,0)}});var yw=ty({concat2d_:function(e,t){return rw(e,t)}});var bw=ty({concat3d_:function(e,t){return rw(e,t)}});var xw=ty({concat4d_:function(e,t){return rw(e,t)}});var ww=ty({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=$g(e,"x","conv2d"),u=$g(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=bb(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Av(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Av(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),null!=o&&Av(Lv(r),(function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Av(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Av(Zx(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Hg.runKernelFunc((function(e,t){var s=Qx(a),c=Gx(l.shape,u.shape,n,i,r,o,!1,s),p=e.conv2d(l,u,c);return t([l,u]),p}),h,null,"Conv2D",f);return c?bb(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var kw=ty({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=$g(e,"x","conv1d"),u=$g(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=bb(s,[1,s.shape[0],s.shape[1]])),Av(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Av(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=o&&Av(Lv(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."})),Av(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]+"."})),Av(Zx(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Av("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=bb(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=bb(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=ww(h,p,[1,n],r,"NHWC",[1,i],o);return bb(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var Nw=ty({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Av(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=bb(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Av(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Av(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Av(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];Av(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Av(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),null!=o&&Av(Lv(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=Hg.runKernelFunc((function(e,t){var l=Qx(i),c=Gx(s,n.shape,r,1,a,o,!1,l),p=e.conv2dDerInput(u,n,c);return t([u,n]),p}),h,null,"Conv2DBackpropInput",f);return l?bb(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var Sw=ty({conv2dTranspose_:function(e,t,n,r,a,i){var o=$g(e,"x","conv2dTranspose"),s=$g(t,"filter","conv2dTranspose");return Nw(n,o,s,r,a,"NHWC",i)}});var Iw=ty({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=$g(e,"x","conv3d"),s=$g(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=bb(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Av(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Av(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Av(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]+"."})),Av(Zx(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Av("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=Hg.runKernelFunc((function(e,t){var a=jx(u.shape,s.shape,n,i,r),o=e.conv3d(u,s,a);return t([u,s]),o}),c,null,"Conv3D",p);return l?bb(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var Cw=ty({conv3DBackpropInput_:function(e,t,n,r,a){Av(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=bb(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];Av(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Av(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Av(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Av(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Av(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},p={pad:a},h=Hg.runKernelFunc((function(e){var t=jx(i,n.shape,r,1,a);return e.conv3dDerInput(o,n,t)}),c,null,"Conv3DBackpropInputV2",p);return s?bb(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var Rw=ty({conv3dTranspose_:function(e,t,n,r,a){var i=$g(e,"x","conv3dTranspose"),o=$g(t,"filter","conv3dTranspose");return Cw(n,i,o,r,a)}});var Ew=ty({cos_:function(e){var t=$g(e,"x","cos"),n={x:t};return Hg.runKernelFunc((function(e,n){var r=e.cos(t);return n([t]),r}),n,null,fv)}});var Tw=ty({cosh_:function(e){var t=$g(e,"x","cosh"),n={x:t};return Hg.runKernelFunc((function(e,n){var r=e.cosh(t);return n([t]),r}),n,null,"Cosh")}});var Aw=ty({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=$g(e,"x","cumsum"),i={x:a},o={axis:t,exclusive:n,reverse:r};return Hg.runKernelFunc((function(e,i){var o=Ex([t],a.rank),s=a;null!=o&&(s=kb(a,o));var u=Ax(1,a.rank)[0],l=e.cumsum(s,u,n,r);if(i([a]),null!=o){var c=Tx(o);l=kb(l,c)}return l}),i,null,"Cumsum",o)}});var Dw=ty({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=$g(e,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];Av(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n "+a+" and "+t+" for depthToSpace with input shape\n "+r.shape})),Av(i*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n "+i+" and "+t+" for depthToSpace with input shape\n "+r.shape})),Av(o%(t*t)==0,(function(){return"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape}));var s={x:r},u={blockSize:t,dataFormat:n};return Hg.runKernelFunc((function(e){return e.depthToSpace(r,t,n)}),s,null,"DepthToSpace",u)}});var _w=ty({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=$g(e,"x","depthwiseConv2d"),u=$g(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=bb(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Av(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Av(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."})),Av(l.shape[3]===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."})),null!=o&&Av(Lv(r),(function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var p={x:l,filter:u},h={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},f=Hg.runKernelFunc((function(e,t){null==i&&(i=[1,1]),Av(Zx(n,i),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var a=Gx(l.shape,u.shape,n,i,r,o,!0),s=e.depthwiseConv2D(l,u,a);return t([l,u]),s}),p,null,"DepthwiseConv2dNative",h);return c?bb(f,[f.shape[1],f.shape[2],f.shape[3]]):f}});var Fw=ty({diag_:function(e){var t=$g(e,"x","diag"),n={x:t};return Hg.runKernelFunc((function(n){var r=bb(t,[t.size]),a=n.diag(r),i=[].concat(e.shape,e.shape);return bb(a,i)}),n,null,"Diag")}});var Ow=ty({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=$g(e,"x","dilation2d"),s=$g(t,"filter","dilation2d");Av(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Av(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Av("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=bb(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=Hg.runKernel("Dilation2D",c,p);return l?bb(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});function Mw(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 Lw(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 zw(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 Bw=ty({equal_:function(e,t){var n=$g(e,"a","equal"),r=$g(t,"b","equal"),a=zg(n,r);n=a[0],r=a[1],zw(n.shape,r.shape);var i={a:n,b:r};return Hg.runKernelFunc((function(e){return e.equal(n,r)}),i,null,"Equal")}});var Pw=ty({where_:function(e,t,n){var r=$g(t,"a","where"),a=$g(n,"b","where"),i=$g(e,"condition","where","bool"),o=zw(r.shape,a.shape),s=dw(r,o),u=dw(a,o);1===i.rank&&Av(i.shape[0]===r.shape[0],(function(){return"The first dimension of `a` must match the size of `condition`."})),1!==i.rank&&Dv(i.shape,u.shape,"Error in where: ");var l={condition:i,t:s,e:u};return Hg.runKernelFunc((function(e,t){var n=e.select(i,s,u);return t([i]),n}),l,null,"SelectV2")}});var Ww=ty({zerosLike_:function(e){var t=$g(e,"x","zerosLike"),n={x:t};return Hg.runKernelFunc((function(e){return e.zerosLike(t)}),n,null,"ZerosLike")}});var Vw=ty({divNoNan_:function(e,t){var n=$g(e,"a","div"),r=$g(t,"b","div"),a=zg(n,r);n=a[0],r=a[1];var i=gx(n,r),o=Ww(i),s=Bw(r,o);return Pw(s,o,i)}});var Uw=ty({dot_:function(e,t){var n=$g(e,"t1","dot"),r=$g(t,"t2","dot");Av(!(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 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The model has "+this.outputs.length+" output(s), but you passed loss="+e.loss+".");var r=e.loss;n=r.map((function(e){return fA(e)}))}else{var a=fA(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new UR('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o,s=nv(this.outputNames);!(o=s()).done;){var u=o.value;null==e.loss[u]&&console.warn('Output "'+u+'" is missing from loss dictionary. 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Expected an string,function, Array, or Object, found: "+e);n=e}if(Array.isArray(n))return t.map((function(e){return n}));for(var r,a=[],i=nv(t);!(r=i()).done;){var o=r.value,s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}(e.metrics,this.outputNames),d=function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+"_"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])};EE("metric",(function(){for(var e=function(e){if(-1!==h.indexOf(e))return"continue";!function(n){for(var r,a,i,o,s=nv(n);!(o=s()).done;){var u=o.value;if("string"==typeof u&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(u)){var l=t.internalOutputShapes[e];1===l[l.length-1]||t.lossFunctions[e]===lA?-1!==["accuracy","acc"].indexOf(u)?a=dA:-1!==["crossentropy","ce"].indexOf(u)&&(a=bA):t.lossFunctions[e]===uA?-1!==["accuracy","acc"].indexOf(u)?a=xA:-1!==["crossentropy","ce"].indexOf(u)&&(a=kA):-1!==["accuracy","acc"].indexOf(u)?a=mA:-1!==["crossentropy","ce"].indexOf(u)&&(a=wA);var c=void 0;-1!==["accuracy","acc"].indexOf(u)?c="acc":-1!==["crossentropy","ce"].indexOf(u)&&(c="ce"),i=a,r=""+c}else{var p=SA(u);i=p,r=""+IA(u)}var h=void 0;EE(r,(function(){h=i})),d(e,r,h)}}(f[e])},n=0;n<t.outputs.length;++n)e(n)})),this.collectedTrainableWeights=this.trainableWeights},n.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},n.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;tD(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return XR(this.testLoop(o,i,r,n.verbose,n.steps))}finally{cD(a[0],e),cD(a[1],t)}},n.evaluateDataset=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",$A(this,t,n));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new UR("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new UR("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},n.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new UR("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new FA;if(e instanceof Rg&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new UR("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],e[o])}else for(var s,u=nv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new UR("No value is provided for the model's input "+l.name);i.add(l,c)}var p=LA(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=HR(null,e.length),r=e.length,a=nv(this.layers);!(t=a()).done;){for(var i=t.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(n[u]=o[l],r--),0===r)break}if(0===r)break}if(r>0){var c=[];throw n.forEach((function(t,n){null==t&&c.push(e[n])})),new UR("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return n},n.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),lx((function(){var a=r.checkNumSamples(e);if(n)throw new GR("Verbose predictLoop() is not implemented yet.");for(var i=aD(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){lx((function(){var n=i[t][0],a=i[t][1],o=nD(e,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new FA(s);return LA(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return XR(o.map((function(e){return rw(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=lD(e);dD(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return tD(r),this.predictLoop(n,r)}finally{cD(n,e)}},n.predictOnBatch=function(e){dD(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},n.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new VR("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===uA?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=nE(e.map((function(e){return e.shape[0]})));r.sort();var a=nE(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new UR("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new UR("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!Mv(r,a))throw new UR("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=fD(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=fD(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[rA,lA,sA],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===sA&&1===i.shape[i.shape.length-1])throw new UR("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new UR("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new UR("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},n.standardizeUserData=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(t,n,i,o),u=s[0],l=s[1],null==r){e.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(c=null,null==a){e.next=18;break}p=VA(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,UA(l[h],null,p[h]);case 13:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 15:++h,e.next=9;break;case 18:return e.abrupt("return",[u,l,c]);case 19:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o){return e.apply(this,arguments)}}(),n.testLoop=function(e,t,n,r,a){var i=this;return void 0===r&&(r=0),lx((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new GR("Verbose mode is not implemented yet.");if(null!=a)throw new GR("steps mode in testLoop() is not implemented yet");for(var u=aD(o,n),l=wN(zE(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=WE(l,p,h-p),d=rD(t,f),m=e(d);if(0===c)for(var v=0;v<m.length;++v)s.push(lk(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=mx(s[g],yx(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=gx(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(KR(e,r)>1)a+="_"+KR(e.slice(0,n),r);t.push(a)}return t},n.makeTrainFunction=function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,l=new FA(t),c=LA(e.outputs,l,{training:!0}),p=0;p<e.lossFunctions.length;++p){var h=(0,e.lossFunctions[p])(a[p],c[p]);null!=i[p]&&(h=jA(h,i[p]));var f=zk(h);n.push(f),u=0===p?h:mx(u,h)}for(var d=0;d<e.metricsTensors.length;++d){var m=void 0;if(e.outputs.length>1&&d<e.outputs.length)m=n[d];else{var v=e.metricsTensors[d][0],g=e.metricsTensors[d][1];m=zk(v(a[g],c[g]))}px(m),o.push(m)}return u=zk(u),e.calculateLosses().forEach((function(e){u=mx(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return lx((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new FA(o),l=LA(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=zk(p(i[c],l[c]));n=0===c?h:mx(n,h),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],m=e.metricsTensors[f][1],v=zk(d(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=Gm(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",sD(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=Gm(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",XA(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=Gm(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=nv(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 13:h=e.sent,u.push(h[0]);case 15:e.next=9;break;case 17:return cx(s),e.abrupt("return",XR(u));case 19:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.getNamedWeights=function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t},n.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=ux().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-ux().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=JR(this.loss);else if(Array.isArray(this.loss)){for(var t,n=nv(this.loss);!(t=n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map((function(e){return JR(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=JR(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[JR(IA(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return JR(IA(e))}));var e={};for(var t in this.metrics)e[t]=JR(IA(this.metrics[t]));return e},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=tA(_A(e.optimizer_config));if("string"==typeof e.loss)t=ZR(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return ZR(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=ZR(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return ZR(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=ZR(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=by(t)).length){e.next=6;break}throw new UR("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new UR("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new UR("LayersModel.save() cannot proceed because the IOHandler provided does not have the 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e.apply(this,arguments)}}(),n.setUserDefinedMetadata=function(e){CA(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},Hm(t,[{key:"stopTraining",set:function(e){this.stopTraining_=e},get:function(){return this.stopTraining_}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}}]),t}(function(e){function t(n){var r;if((r=e.call(this,{})||this).containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=CT(a)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],nE(r.inputs).length!==r.inputs.length)throw new UR("The list of inputs passed to the model is redundant. 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qm(t,e),t.prototype.apply=function(e){return e},t}(SD);TD.className="linear",$b(TD);var AD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e){return aw(e)},t}(SD);AD.className="sigmoid",$b(AD);var DD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e){return function(e){return lx((function(){var t=mx(.5,yx(.2,e));return vw(t,0,1)}))}(e)},t}(SD);DD.className="hardSigmoid",$b(DD);var _D=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e){return wk(e)},t}(SD);_D.className="softplus",$b(_D);var FD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e){return function(e){return lx((function(){return gx(e,bx(e).add(1))}))}(e)},t}(SD);FD.className="softsign",$b(FD);var OD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e){return ow(e)},t}(SD);OD.className="tanh",$b(OD);var MD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),jN(e,t)},t}(SD);MD.className="softmax",$b(MD);var LD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),Ck(e,t)},t}(SD);LD.className="logSoftmax",$b(LD);var zD=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),lx((function(){return aw(e.mul(t)).mul(e)}))},t}(SD);function BD(e){return e.getClassName()}function PD(e,t){return void 0===t&&(t={}),eE(e,Qb.getMap().classNameMap,t,"activation")}function WD(e){if(null==e){var t={className:"linear",config:{}};return PD(t)}if("string"==typeof e){var n={};return n.className=e,n.config={},PD(n)}return e instanceof SD?e:PD(e)}function 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jD?jD[e]:e,config:{}}):e instanceof UD?e:qD(e)}var XD=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}qm(t,e);var n=t.prototype;return n.call=function(e,t){e=TT(e);var n=SN(e);return null!=this.maxValue&&(n=vw(n,0,this.maxValue)),n},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);XD.className="ReLU",$b(XD);var YD=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}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=TT(e);return ck(n,this.alpha)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);YD.className="LeakyReLU",$b(YD);var JD=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA_INITIALIZER="zeros",null==t&&(t={}),n.supportsMasking=!0,n.alphaInitializer=wT(t.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=KD(t.alphaRegularizer),n.alphaConstraint=gE(t.alphaConstraint),null==t.sharedAxes)n.sharedAxes=null;else if(Array.isArray(t.sharedAxes))n.sharedAxes=t.sharedAxes;else{if("number"!=typeof t.sharedAxes)throw new UR("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=AT(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=nv(this.sharedAxes);!(n=r()).done;){t[n.value-1]=1}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new MT({ndim:e.length,axes:a})],this.built=!0},n.call=function(e,t){return e=TT(e),aN(e,this.alpha.read())},n.getConfig=function(){var t={alphaInitializer:xT(this.alphaInitializer),alphaRegularizer:HD(this.alphaRegularizer),alphaConstraint:mE(this.alphaConstraint),sharedAxes:this.sharedAxes},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);JD.className="PReLU",$b(JD);var ZD=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 GR("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}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=TT(e);return Gw(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}(WT);ZD.className="ELU",$b(ZD);var QD=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=TT(e);return n.mul(BE(n.greater(this.theta),"float32"))},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);QD.className="ThresholdedReLU",$b(QD);var $D=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 MD).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=TT(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}(WT);function e_(e,t,n){if("number"==typeof e)return HR(e,t);if(e.length!==t)throw new UR("The "+n+" argument must be an 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Received: "+e.length+" elements.");for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new UR("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e;var i}function t_(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function n_(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+LE([n-t,0]);else{if("same"!==r)throw new UR("Unsupport padding mode: "+r+".");e*=t}return e}function r_(e,t){return lx((function(){return SE(t),"channelsFirst"===t?kb(e,[0,2,3,1]):e}))}function a_(e,t){return lx((function(){return SE(t),"channelsFirst"===t?kb(e,[0,2,3,4,1]):e}))}function i_(e,t,n,r,a,i,o){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===o&&(o=1),lx((function(){if(null==i&&(i="channelsLast"),SE(i),3!==e.shape.length)throw new UR("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new UR("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new UR("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===i&&(e=kb(e,[0,2,1])),"causal"===a)throw new GR("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=kw(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=ZE(s,n)),s}))}function o_(e,t,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),lx((function(){if(null==i&&(i="channelsLast"),SE(i),3!==e.rank&&4!==e.rank)throw new UR("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new UR("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+e.rank+".");var u=r_(e,i);if("causal"===a)throw new GR("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=KS({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=kb(u,[0,3,1,2])),u}))}function s_(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),lx((function(){if(null==i&&(i="channelsLast"),SE(i),4!==e.rank&&5!==e.rank)throw new UR("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new UR("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=a_(e,i);if("causal"===a)throw new GR("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=Iw(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=ZE(s,n)),"channelsFirst"===i&&(s=kb(s,[0,4,1,2,3])),s}))}$D.className="Softmax",$b($D);var u_=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,oE(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new GR("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=e_(r.kernelSize,n,"kernelSize"),a.strides=e_(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,IE(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,SE(a.dataFormat),a.activation=WD(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=wT(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=gE(r.biasConstraint),a.biasRegularizer=KD(r.biasRegularizer),a.activityRegularizer=KD(r.activityRegularizer),a.dilationRate=e_(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new UR("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new UR("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new UR("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return qm(t,e),t.verifyArgs=function(e){if(qR("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!iE(e.kernelSize,"number",1,3))throw new UR("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:BD(this.activation),useBias:this.useBias,biasInitializer:xT(this.biasInitializer),biasRegularizer:HD(this.biasRegularizer),activityRegularizer:HD(this.activityRegularizer),biasConstraint:mE(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT),l_=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,oE(a.filters,"filters"),a.kernelInitializer=wT(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=gE(r.kernelConstraint),a.kernelRegularizer=KD(r.kernelRegularizer),a}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=AT(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new UR("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 lx((function(){var t;e=TT(e);var r=null==n.bias?null:n.bias.read(),a=sE(n.activation.getClassName());if(null!=a&&2===n.rank)t=o_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=i_(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=o_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new GR("convolutions greater than 3D are not implemented yet.");t=s_(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=AT(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=t_(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:xT(this.kernelInitializer),kernelRegularizer:HD(this.kernelRegularizer),kernelConstraint:mE(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 UR("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(u_),c_=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return qm(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&&!iE(e.kernelSize,"number",1,2))throw new UR("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(l_);c_.className="Conv2D",$b(c_);var p_=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return qm(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new UR("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(l_);p_.className="Conv3D",$b(p_);var h_=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new MT({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new UR("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=AT(e)).length)throw new UR("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 UR("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 MT({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return lx((function(){var t=TT(e);if(4!==t.shape.length)throw new UR("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,n_(s,p,l,n.padding),n_(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=kb(t,[0,2,3,1]));var d=Sw(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=kb(d,[0,3,1,2])),null!=n.bias&&(d=ZE(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=AT(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]=n_(a[n],s,i,this.padding),a[r]=n_(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(c_);h_.className="Conv2DTranspose",$b(h_);var f_=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 UR("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new UR("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 UR("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=wT(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=KD(n.depthwiseRegularizer),r.depthwiseConstraint=gE(n.depthwiseConstraint),r.pointwiseInitializer=wT(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=KD(n.pointwiseRegularizer),r.pointwiseConstraint=gE(n.pointwiseConstraint),r}qm(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=AT(e)).length<this.rank+2)throw new UR("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 UR("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);this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new MT({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return lx((function(){var t;if(e=TT(e),1===n.rank)throw new GR("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=kb(e,[0,2,3,1])),t=ON(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=ZE(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=kb(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=xT(this.depthwiseInitializer),t.pointwiseInitializer=xT(this.pointwiseInitializer),t.depthwiseRegularizer=HD(this.depthwiseRegularizer),t.pointwiseRegularizer=HD(this.pointwiseRegularizer),t.depthwiseConstraint=mE(this.depthwiseConstraint),t.pointwiseConstraint=mE(this.pointwiseConstraint),t},t}(l_);f_.className="SeparableConv";var d_=function(e){function t(t){return e.call(this,2,t)||this}return qm(t,e),t}(f_);d_.className="SeparableConv2D",$b(d_);var m_=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return qm(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&&!iE(e.kernelSize,"number",1,1))throw new UR("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(l_);m_.className="Conv1D",$b(m_);var v_=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},n.call=function(e,t){var n=this;return lx((function(){if(e=TT(e),"channelsLast"===n.dataFormat){var t=UE(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return UE(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=UE(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return UE(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);v_.className="Cropping2D",$b(v_);var g_=function(e){function t(t){var n;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,n}qm(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 lx((function(){var t=TT(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=kb(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o=t.resizeNearestNeighbor([a,i]);return kb(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return t.resizeNearestNeighbor([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}(WT);g_.className="UpSampling2D",$b(g_);var y_=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=wT(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=gE(t.depthwiseConstraint),n.depthwiseRegularizer=KD(t.depthwiseRegularizer),n}qm(t,e);var n=t.prototype;return n.build=function(e){if((e=AT(e)).length<4)throw new UR("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 UR("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 lx((function(){e=TT(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"),lx((function(){null==o&&(o="channelsLast"),SE(o);var e=r_(t,o);if(4!==t.rank)throw new UR("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new UR("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=_w(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=kb(e,[0,3,1,2])),e})));return n.useBias&&(u=ZE(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=AT(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=t_(t,this.kernelSize[0],this.padding,this.strides[0]),i=t_(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=xT(this.depthwiseInitializer),t.depthwiseRegularizer=HD(this.depthwiseRegularizer),t.depthwiseConstraint=mE(this.depthwiseRegularizer),t},t}(u_);function b_(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new UR("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 x_(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),lx((function(){var u=t.shape.length;if(u<3)throw new UR("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(zE(2,u));if(t=kb(t,l),null!=i)throw new GR("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=qw(a,-1)),a=kb(a,l)),r&&(t=CN(t,0),null!=a&&(a=CN(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=cS(t);null!=a&&(p=cS(a));for(var v,g=function(t){var n=m[t],r=lx((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=lx((function(){var e=p[t],n=Xk(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=eS(h,1)}return[c,v,f]}))}y_.className="DepthwiseConv2D",$b(y_);var w_=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new UR("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new T_({cells:t.cell}):t.cell).stateSize)throw new UR("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 MT({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}qm(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?zE(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){RT(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=nv(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 lx((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 GR("Constants support is not implemented in RNN yet.");RT(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new MT({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(!Mv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new UR("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 MT({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),lx((function(){if(!n.stateful)throw new WR("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new UR("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 Mk([r,e])})):n.states_=[Mk([r,n.cell.stateSize])];else if(null==e)cx(n.states_),null!=n.keptStates&&(cx(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return Mk([r,e])})):n.states_[0]=Mk([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new UR("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()):cx(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(!Mv(i.shape,s))throw new UR("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 px(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=b_(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=nv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new MT({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 LT){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 lx((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=TT(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 UR("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=x_((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 lx((function(){var n=Mk(e.shape);return n=PE(n=Ik(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?HE(n,[1,e]):n})):t.cell.stateSize>1?[HE(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=tA(t.cell,n);return new e(Object.assign(t,{cell:r}))},Hm(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}(WT);w_.className="RNN",$b(w_);var k_=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t}(WT),N_=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,oE(n.units,"units"),n.activation=WD(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=wT(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=wT(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=wT(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=KD(t.kernelRegularizer),n.recurrentRegularizer=KD(t.recurrentRegularizer),n.biasRegularizer=KD(t.biasRegularizer),n.kernelConstraint=gE(t.kernelConstraint),n.recurrentConstraint=gE(t.recurrentConstraint),n.biasConstraint=gE(t.biasConstraint),n.dropout=ME([1,LE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=ME([1,LE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;return n.build=function(e){e=AT(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 lx((function(){if(2!==(e=e).length)throw new UR("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=A_({ones:function(){return Xk(e)},rate:n.dropout,training:i})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=A_({ones:function(){return Xk(r)},rate:n.recurrentDropout,training:i}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=KE(null!=o?yx(e,o):e,n.kernel.read()),null!=n.bias&&(a=ZE(a,n.bias.read())),null!=s&&(r=yx(r,s));var u=mx(a,KE(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:BD(this.activation),useBias:this.useBias,kernelInitializer:xT(this.kernelInitializer),recurrentInitializer:xT(this.recurrentInitializer),biasInitializer:xT(this.biasInitializer),kernelRegularizer:HD(this.kernelRegularizer),recurrentRegularizer:HD(this.recurrentRegularizer),biasRegularizer:HD(this.biasRegularizer),activityRegularizer:HD(this.activityRegularizer),kernelConstraint:mE(this.kernelConstraint),recurrentConstraint:mE(this.recurrentConstraint),biasConstraint:mE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,n)},t}(k_);N_.className="SimpleRNNCell",$b(N_);var S_=function(e){function t(t){return t.cell=new N_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return lx((function(){null!=r.cell.dropoutMask&&(cx(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(cx(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}(w_);S_.className="SimpleRNN",$b(S_);var I_=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 UR("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,oE(n.units,"units"),n.activation=WD(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=WD(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=wT(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=wT(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=wT(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=KD(t.kernelRegularizer),n.recurrentRegularizer=KD(t.recurrentRegularizer),n.biasRegularizer=KD(t.biasRegularizer),n.kernelConstraint=gE(t.kernelConstraint),n.recurrentConstraint=gE(t.recurrentConstraint),n.biasConstraint=gE(t.biasConstraint),n.dropout=ME([1,LE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=ME([1,LE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=AT(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 lx((function(){if(2!==(e=e).length)throw new UR("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=A_({ones:function(){return Xk(e)},rate:n.dropout,training:r,count:3})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=A_({ones:function(){return Xk(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=yx(e,u[0]));var c=KE(e,n.kernel.read());n.useBias&&(c=ZE(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=yx(a,l[0]));var p=n.recurrentKernel.read(),h=YN(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=KE(a,f),v=YN(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=YN(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(mx(g,w)),o=n.recurrentActivation.apply(mx(y,k));var N=KE(yx(o,a),d);s=n.activation.apply(mx(b,N));var S=mx(yx(i,a),yx(mx(1,xk(i)),s));return[S,S]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:BD(this.activation),recurrentActivation:BD(this.recurrentActivation),useBias:this.useBias,kernelInitializer:xT(this.kernelInitializer),recurrentInitializer:xT(this.recurrentInitializer),biasInitializer:xT(this.biasInitializer),kernelRegularizer:HD(this.kernelRegularizer),recurrentRegularizer:HD(this.recurrentRegularizer),biasRegularizer:HD(this.biasRegularizer),activityRegularizer:HD(this.activityRegularizer),kernelConstraint:mE(this.kernelConstraint),recurrentConstraint:mE(this.recurrentConstraint),biasConstraint:mE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},t,n)},t}(k_);I_.className="GRUCell",$b(I_);var C_=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 I_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return lx((function(){null!=r.cell.dropoutMask&&(cx(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(cx(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}(w_);C_.className="GRU",$b(C_);var R_=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,oE(n.units,"units"),n.activation=WD(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=WD(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=wT(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=wT(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=wT(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=KD(t.kernelRegularizer),n.recurrentRegularizer=KD(t.recurrentRegularizer),n.biasRegularizer=KD(t.biasRegularizer),n.kernelConstraint=gE(t.kernelConstraint),n.recurrentConstraint=gE(t.recurrentConstraint),n.biasConstraint=gE(t.biasConstraint),n.dropout=ME([1,LE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=ME([1,LE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=AT(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 qm(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new aT).apply([i]),o=a.apply([2*i]);return jE(jE(n,r),o)},t}(nT)).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 lx((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new UR("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=A_({ones:function(){return Xk(e)},rate:n.dropout,training:r,count:4})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=A_({ones:function(){return Xk(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=yx(e,c[0]));var h=KE(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=yx(a,p[0])),h=mx(h,KE(a,n.recurrentKernel.read())),n.useBias&&(h=ZE(h,n.bias.read()));var f=YN(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=mx(yx(s,i),yx(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=yx(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:BD(this.activation),recurrentActivation:BD(this.recurrentActivation),useBias:this.useBias,kernelInitializer:xT(this.kernelInitializer),recurrentInitializer:xT(this.recurrentInitializer),biasInitializer:xT(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:HD(this.kernelRegularizer),recurrentRegularizer:HD(this.recurrentRegularizer),biasRegularizer:HD(this.biasRegularizer),activityRegularizer:HD(this.activityRegularizer),kernelConstraint:mE(this.kernelConstraint),recurrentConstraint:mE(this.recurrentConstraint),biasConstraint:mE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},t,n)},t}(k_);R_.className="LSTMCell",$b(R_);var E_=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 R_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return lx((function(){null!=r.cell.dropoutMask&&(cx(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(cx(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}(w_);E_.className="LSTM",$b(E_);var T_=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return lx((function(){for(var r,a=(e=e).slice(1),i=[],o=nv(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=nv(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;RT(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){EE("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=nv(t.cells);!(r=i()).done;){var o=r.value;a.push(tA(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=nv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return FT(t)},n.setWeights=function(e){for(var t,n=[],r=nv(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]]);OT(n)},Hm(t,[{key:"stateSize",get:function(){for(var e,t=[],n=nv(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=nv(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=nv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=nv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(k_);function A_(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 QE(t(),n)},u=function(){return $E(s,t,a)};return!o||o<=1?px(u().clone()):Array(o).fill(void 0).map(u).map((function(e){return px(e.clone())}))}T_.className="StackedRNNCells",$b(T_);var D_=function(e){function t(t){var n;if(t.unroll)throw new GR("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new GR("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new MT({ndim:5})],n}qm(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return lx((function(){if(null!=r.cell.dropoutMask&&(cx(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(cx(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new UR("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 lx((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=Mk([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),lx((function(){if(!n.stateful)throw new WR("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 UR("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 Mk(i)})):n.states_=[Mk(i)];else if(null==e)cx(n.states_),null!=n.keptStates&&(cx(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return Mk(i)})):n.states_[0]=Mk(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new UR("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()):cx(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Mv(s.shape,u))throw new UR("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 px(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=t_(l,a[0],i,o[0],s[0]),h=t_(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(w_);D_.className="ConvRNN2D";var __=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,oE(n.filters,"filters"),n.kernelSize=e_(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return oE(e,"kernelSize")})),n.strides=e_(i||1,2,"strides"),n.strides.forEach((function(e){return oE(e,"strides")})),n.padding=o||"valid",IE(n.padding),n.dataFormat=s||"channelsLast",SE(n.dataFormat),n.dilationRate=e_(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return oE(e,"dilationRate")})),n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=AT(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new UR("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 qm(t,e),t.prototype.apply=function(e,t){return GE([s.apply([u]),Lk([u]),s.apply([2*u])])},t}(nT)).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 lx((function(){if(3!==e.length)throw new UR("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=A_({ones:function(){return Xk(a)},rate:n.dropout,training:r,count:4}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?yx(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=A_({ones:function(){return Xk(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=YN(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?YN(n.bias.read(),4):[null,null,null,null],S=N[0],I=N[1],C=N[2],R=N[3];l=n.inputConv(l,b,S,n.padding),c=n.inputConv(c,x,I,n.padding),p=n.inputConv(p,w,C,n.padding),h=n.inputConv(h,k,R,n.padding);var E=YN(n.recurrentKernel.read(),4,3),T=E[0],A=E[1],D=E[2],_=E[3];d=n.recurrentConv(d,T),m=n.recurrentConv(m,A),v=n.recurrentConv(v,D),g=n.recurrentConv(g,_);var F=n.recurrentActivation.apply(mx(l,d)),O=n.recurrentActivation.apply(mx(c,m)),M=mx(yx(O,o),yx(F,n.activation.apply(mx(p,v)))),L=yx(n.recurrentActivation.apply(mx(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,Qm(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=ww(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?ZE(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return ww(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(R_);__.className="ConvLSTM2DCell",$b(__);var F_=function(e){function t(t){var n=new __(t);return e.call(this,Object.assign({},t,{cell:n}))||this}return qm(t,e),t.fromConfig=function(e,t){return new e(t)},t}(D_);F_.className="ConvLSTM2D",$b(F_);var O_=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}qm(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 lx((function(){n.invokeCallHook(e,t);var r=TT(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return $E((function(){return QE(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))},n.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.dispose=function(){return e.prototype.dispose.call(this)},t}(WT);O_.className="Dropout",$b(O_);var M_=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return qm(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(O_);M_.className="SpatialDropout1D",$b(M_);var L_=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,oE(n.units,"units"),n.activation=WD(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=wT(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=wT(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=gE(t.kernelConstraint),n.biasConstraint=gE(t.biasConstraint),n.kernelRegularizer=KD(t.kernelRegularizer),n.biasRegularizer=KD(t.biasRegularizer),n.activityRegularizer=KD(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}qm(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=AT(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=AT(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return lx((function(){n.invokeCallHook(e,t);var r,a=TT(e),i=sE(n.activation.getClassName());return null!=i?r=KE(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=KE(a,n.kernel.read()),null!=n.bias&&(r=ZE(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:BD(this.activation),useBias:this.useBias,kernelInitializer:xT(this.kernelInitializer),biasInitializer:xT(this.biasInitializer),kernelRegularizer:HD(this.kernelRegularizer),biasRegularizer:HD(this.biasRegularizer),activityRegularizer:HD(this.activityRegularizer),kernelConstraint:mE(this.kernelConstraint),biasConstraint:mE(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);L_.className="Dense",$b(L_);var z_=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=nv((e=AT(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new UR('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],FE(e,1)]},n.call=function(e,t){var n=this;return lx((function(){n.invokeCallHook(e,t);var r=TT(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=r.transpose(a)}return function(e){if(e.rank<=1)throw new UR("batchFlatten requires a minimum rank of 2. 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e=TT(e),t=e,r=n.n,lx((function(){if(2!==t.shape.length)throw new UR("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return HE(PE(t,1),[1,r,1])}));var t,r}))},n.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);P_.className="RepeatVector",$b(P_);var W_=function(e){function t(t){var n;(n=e.call(this,t)||this).targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}qm(t,e);var n=t.prototype;return n.isUnknown=function(e){return e<0||null==e},n.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new UR("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=FE(e);if(null!==i){if(0===a||u%a!=0)throw new UR(n);r[i]=u/a}else if(u!==a)throw new UR(n);return r},n.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},n.call=function(e,t){var n=this;return lx((function(){n.invokeCallHook(e,t);var r=TT(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);W_.className="Reshape",$b(W_);var V_=function(e){function t(t){var n;if(n=e.call(this,t)||this,null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=zE(1,t.dims.length+1);if(!Mv(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: 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n.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(e){},n.computeMask=function(e,t){var n=this;return lx((function(){return n.maskZero?(e=TT(e),qk(e,Ww(e))):null}))},n.computeOutputShape=function(e){if(e=AT(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=YR(this.inputLength);if(t.length!==e.length-1)throw new UR('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new UR('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},n.call=function(e,t){var n=this;return lx((function(){n.invokeCallHook(e,t);var r=TT(e);return"int32"!==r.dtype&&(r=BE(r,"int32")),XE(n.embeddings.read(),r.as1D()).reshape(AT(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:xT(this.embeddingsInitializer),embeddingsRegularizer:HD(this.embeddingsRegularizer),activityRegularizer:HD(this.activityRegularizer),embeddingsConstraint:mE(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);G_.className="Embedding",$b(G_);var j_=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new GR},n.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new UR("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},n.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[AT(e)]),(e=e).length<2)throw new UR("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=nv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=nE(n)).length>1)throw new UR("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===nE(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return lx((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=LE(r),o=nv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=PE(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=nv(e);!(c=h()).done;){var f=c.value,d=f.rank;if(null==d){var m=f.shape,v=m[0],g=m.slice(1).concat([v]),y=f.reshape([v].concat(FE(m.slice(1))));y=(y=kb(y,[1,0])).reshape(g),t.push(y),p=!0}else if(d>1){var b=zE(1,d).concat([0]);t.push(kb(f,b)),p=!0}else t.push(f)}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var k=x.shape,N=k[k.length-1],S=[N].concat(k.slice(0,k.length-1));x=kb(x.reshape([-1,N]),[1,0]).reshape(S)}else if(w>1){var I=[w-1].concat(zE(0,w-1));x=kb(x,I)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a,i=[],o=nv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=nE(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return lx((function(){if(null==t)return null;if(!Array.isArray(t))throw new UR("`mask` should be an Array");if(!Array.isArray(e))throw new UR("`inputs` should be an Array");if(t.length!==e.length)throw new UR("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:qw(e,0)})))[0],r=1;r<t.length-1;++r)n=Ek(n,t[r]);return n}))},t}(WT),H_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return lx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mx(t,e[n]);return t}))},t}(j_);H_.className="Add",$b(H_);var q_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return lx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=yx(t,e[n]);return t}))},t}(j_);q_.className="Multiply",$b(q_);var K_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return lx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mx(t,e[n]);return yx(1/e.length,t)}))},t}(j_);K_.className="Average",$b(K_);var X_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return lx((function(){for(var t=e[0],n=1;n<e.length;++n)t=uk(t,e[n]);return t}))},t}(j_);X_.className="Maximum",$b(X_);var Y_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return lx((function(){for(var t=e[0],n=1;n<e.length;++n)t=Pk(t,e[n]);return t}))},t}(j_);Y_.className="Minimum",$b(Y_);var J_=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}qm(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new UR("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=nv(e=e);!(t=r()).done;){if(null!=t.value){n=!1;break}}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);for(var s,u=!1,l=nv(a);!(s=l()).done;){if(Mv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new UR("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},n.mergeFunction=function(e){var t=this;return lx((function(){return GE(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new UR("A `Concatenate` layer should be called on a list of inputs.");for(var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=nv(n.slice(1));!(t=i()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new UR("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new UR("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new UR("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return lx((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(Xk(e[i]).asType("bool")):t[i].rank<e[i].rank?a.push(qw(t[i],-1)):a.push(t[i]);var o=rw(a,n.axis);return Dx(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(j_);function Z_(e,t){for(;e<0;)e+=t;return e}J_.className="Concatenate",$b(J_);var Q_=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}qm(t,e);var n=t.prototype;return n.build=function(e){Av(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new GR("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new UR("Dimension incompatibility: "+t[r[0]]+" !== 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n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=e.reshape(e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e.mul(t).sum(i[0]):e.transpose([1,0]).mul(t).sum(i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=e.matMul(t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=o.squeeze(d)}return 1===o.shape.length&&(o=o.expandDims(1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[Z_(this.axes,e.length),Z_(this.axes,t.length)]},n.computeOutputShape=function(e){Av(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new GR("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a},n.computeMask=function(e,t){return null},n.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(j_);Q_.className="Dot",$b(Q_);var $_=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}qm(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 lx((function(){n.invokeCallHook(e,t);var r=TT(e);return $E((function(){return qE(r.shape,0,n.stddev).add(r)}),(function(){return r}),t.training||!1)}))},t}(WT);$_.className="GaussianNoise",$b($_);var eF=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}qm(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 lx((function(){n.invokeCallHook(e,t);var r=TT(e);if(n.rate>0&&n.rate<1){return $E((function(){var e=Math.sqrt(n.rate/(1-n.rate));return r.mul(qE(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(WT);eF.className="GaussianDropout",$b(eF);var tF=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}qm(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||TT(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 lx((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return $E((function(){var t=TT(e),a=-1.7580993408473766,i=rk(xN(r),n.rate);i=BE(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return t.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)}),(function(){return TT(e)}),t.training||!1)}return e}))},t}(WT);function nF(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=pw(e,t,n,r,a,i);else if(3===e.rank)o=hw(e,t,n,r,a,i);else{if(4!==e.rank)throw new GR("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=fw(e,t,n,r,a,i)}return o}function rF(e,t,n,r,a){return void 0===a&&(a=.001),Mv(r.slice().sort(),zE(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),lx((function(){var i=Gk(e,r),o=i.mean,s=i.variance;return[nF(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),lx((function(){for(var i,o=Gk(e,r),s=o.mean,u=o.variance,l=[],c=nv(zE(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),f=u.reshape(l),d=null==t?null:t.reshape(l),m=null==n?null:n.reshape(l);return[nF(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}tF.className="AlphaDropout",$b(tF);var aF=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=wT(t.betaInitializer||"zeros"),n.gammaInitializer=wT(t.gammaInitializer||"ones"),n.movingMeanInitializer=wT(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=wT(t.movingVarianceInitializer||"ones"),n.betaConstraint=gE(t.betaConstraint),n.gammaConstraint=gE(t.gammaConstraint),n.betaRegularizer=KD(t.betaRegularizer),n.gammaRegularizer=KD(t.gammaRegularizer),n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=AT(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new UR("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new MT({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 lx((function(){var r=null!=t.training&&t.training,a=TT(e),i=a.shape,o=i.length,s=zE(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=HR(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Mv(c,zE(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 nF(a,e,t,r,i,n.epsilon)}return nF(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=rF(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){lx((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:xT(this.betaInitializer),gammaInitializer:xT(this.gammaInitializer),movingMeanInitializer:xT(this.movingMeanInitializer),movingVarianceInitializer:xT(this.movingVarianceInitializer),betaRegularizer:HD(this.betaRegularizer),gammaRegularizer:HD(this.gammaRegularizer),betaConstraint:mE(this.betaConstraint),gammaConstraint:mE(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);aF.className="BatchNormalization",$b(aF);var iF=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=nv(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=wT(t.betaInitializer||"zeros"),n.gammaInitializer=wT(t.gammaInitializer||"ones"),n.betaRegularizer=KD(t.betaRegularizer),n.gammaRegularizer=KD(t.gammaRegularizer),n.supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=AT(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=nv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==nE(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,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},n.call=function(e,t){var n=this,r=TT(e),a=r.shape,i=a.length;return lx((function(){for(var e,t=Gk(r,n.axis,!0),o=t.mean,s=t.variance,u=HR(1,i),l=nv(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),nF(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:xT(this.betaInitializer),gammaInitializer:xT(this.gammaInitializer),betaRegularizer:HD(this.betaRegularizer),gammaRegularizer:HD(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT);iF.className="LayerNormalization",$b(iF);var oF=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 UR("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 UR("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 UR("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 MT({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=AT(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 lx((function(){return t=TT(e),r=n.padding,a=n.dataFormat,lx((function(){if(4!==t.rank)throw new UR("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 UR("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 UR("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]],Jk(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}(WT);function sF(e,t,n,r,a,i){return lx((function(){var o;SE(a),CE(i),IE(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=r_(e,a);var s="same"===r?"same":"valid";return o="max"===i?_k(e,t,n,s):$x(e,t,n,s),"channelsFirst"===a&&(o=kb(o,[0,3,1,2])),o}))}function uF(e,t,n,r,a,i){return lx((function(){var o;SE(a),CE(i),IE(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=a_(e,a);var s="same"===r?"same":"valid";return o="max"===i?Fk(e,t,n,s):ew(e,t,n,s),"channelsFirst"===a&&(o=kb(o,[0,4,1,2,3])),o}))}oF.className="ZeroPadding2D",$b(oF);var lF=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 UR("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(oE(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 UR("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 oE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,IE(n.padding),n.inputSpec=[new MT({ndim:3})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=t_((e=AT(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 lx((function(){n.invokeCallHook(e,t),e=PE(TT(e),2);var r=n.poolingFunction(TT(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return $N(r,[2])}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT),cF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),sF(e,t,n,r,a,"max")},t}(lF);cF.className="MaxPooling1D",$b(cF);var pF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),sF(e,t,n,r,a,"avg")},t}(lF);pF.className="AveragePooling1D",$b(pF);var hF=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new UR("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return oE(n.poolSize,"poolSize"),oE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,SE(n.dataFormat),IE(n.padding),n.inputSpec=[new MT({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=AT(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=t_(t,this.poolSize[0],this.padding,this.strides[0]),n=t_(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},n.call=function(e,t){var n=this;return lx((function(){return n.invokeCallHook(e,t),n.poolingFunction(TT(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT),fF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),sF(e,t,n,r,a,"max")},t}(hF);fF.className="MaxPooling2D",$b(fF);var dF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),sF(e,t,n,r,a,"avg")},t}(hF);dF.className="AveragePooling2D",$b(dF);var mF=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new UR("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return oE(n.poolSize,"poolSize"),oE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,SE(n.dataFormat),IE(n.padding),n.inputSpec=[new MT({ndim:5})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=AT(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=t_(t,this.poolSize[0],this.padding,this.strides[0]),n=t_(n,this.poolSize[1],this.padding,this.strides[1]),r=t_(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]},n.call=function(e,t){var n=this;return lx((function(){return n.invokeCallHook(e,t),n.poolingFunction(TT(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT),vF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),uF(e,t,n,r,a,"max")},t}(mF);vF.className="MaxPooling3D",$b(vF);var gF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return SE(a),IE(r),uF(e,t,n,r,a,"avg")},t}(mF);gF.className="AveragePooling3D",$b(gF);var yF=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new MT({ndim:3})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new GR},t}(WT),bF=function(e){function t(t){return e.call(this,t||{})||this}return qm(t,e),t.prototype.call=function(e,t){return lx((function(){var t=TT(e);return zk(t,1)}))},t}(yF);bF.className="GlobalAveragePooling1D",$b(bF);var xF=function(e){function t(t){return e.call(this,t||{})||this}return qm(t,e),t.prototype.call=function(e,t){return lx((function(){var t=TT(e);return Nk(t,1)}))},t}(yF);xF.className="GlobalMaxPooling1D",$b(xF);var wF=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,SE(n.dataFormat),n.inputSpec=[new MT({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new GR},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(WT),kF=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.call=function(e,t){var n=this;return lx((function(){var t=TT(e);return"channelsLast"===n.dataFormat?zk(t,[1,2]):zk(t,[2,3])}))},t}(wF);kF.className="GlobalAveragePooling2D",$b(kF);var NF=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.call=function(e,t){var n=this;return lx((function(){var t=TT(e);return"channelsLast"===n.dataFormat?Nk(t,[1,2]):Nk(t,[2,3])}))},t}(wF);NF.className="GlobalMaxPooling2D",$b(NF);var SF=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}qm(t,e);var n=t.prototype;return n.build=function(e){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(e){this.layer.setWeights(e)},n.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=tA(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},Hm(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}(WT),IF=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}qm(t,e);var n=t.prototype;return 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F=KF("tensorArrayId",t,n,r),O=KF("indices",t,n,r),M=KF("dtype",t,n,r),L=r.getTensorArray(F.id),e.abrupt("return",[L.gather(O,M)]);case 72:return z=KF("tensorArrayId",t,n,r),B=KF("indices",t,n,r),P=KF("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(B,P),e.abrupt("return",[W.idTensor]);case 78:return V=KF("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=KF("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=KF("tensorArrayId",t,n,r),H=KF("tensor",t,n,r),q=KF("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=KF("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[lk(Y.size(),"int32")]);case 91:return J=KF("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=KF("tensorListId",t,n,r),$=KF("index",t,n,r),ee=KF("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=KF("tensorListId",t,n,r),re=KF("index",t,n,r),ae=KF("elementShape",t,n,r),ie=KF("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=KF("indices",t,n,r),ue=KF("tensor",t,n,r),le=KF("elementShape",t,n,r),ce=KF("numElements",t,n,r),pe=BO(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=KF("elementShape",t,n,r),fe=KF("elementDType",t,n,r),de=KF("numElements",t,n,r),me=zO(he,fe,de),r.addTensorList(me),e.abrupt("return",[me.idTensor]);case 120:return ve=KF("tensorListId",t,n,r),ge=KF("indices",t,n,r),ye=KF("elementShape",t,n,r),be=KF("elementDType",t,n,r),xe=r.getTensorList(ve.id),e.abrupt("return",[xe.gather(ge,be,ye)]);case 126:return we=KF("tensorListId",t,n,r),ke=KF("elementShape",t,n,r),Ne=KF("elementDType",t,n,r),Se=KF("numElements",t,n,r),Ie=r.getTensorList(we.id),e.abrupt("return",[Ie.stack(ke,Ne,Se)]);case 132:return Ce=KF("tensor",t,n,r),Re=KF("elementShape",t,n,r),Ee=KF("elementDType",t,n,r),Te=LO(Ce,Re,Ee),r.addTensorList(Te),e.abrupt("return",[Te.idTensor]);case 138:return Ae=KF("tensorListId",t,n,r),De=r.getTensorList(Ae.id),_e=KF("dtype",t,n,r),Fe=KF("elementShape",t,n,r),e.abrupt("return",[De.concat(_e,Fe)]);case 143:return Oe=KF("tensorListId",t,n,r),Me=KF("tensor",t,n,r),(Le=r.getTensorList(Oe.id)).pushBack(Me),e.abrupt("return",[Le.idTensor]);case 148:return ze=KF("tensorListId",t,n,r),Be=KF("elementShape",t,n,r),Pe=KF("elementDType",t,n,r),We=r.getTensorList(ze.id),e.abrupt("return",[We.popBack(Be,Pe)]);case 153:return Ve=KF("tensor",t,n,r),Ue=KF("elementShape",t,n,r),Ge=KF("lengths",t,n,r),je=PO(Ve,Ge,Ue),r.addTensorList(je),e.abrupt("return",[je.idTensor]);case 159:throw TypeError("Node type "+t.op+" is not implemented");case 160:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function VO(e,t,n){var r=KF("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u="fusedbatchnorm"===a,l=KF("numArgs",e,t,n);if(o){if(s&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var c=KF("strides",e,t,n),p=QF(e,t,n),h=KF("dataFormat",e,t,n).toUpperCase(),f=KF("dilations",e,t,n),d=KF("args",e,t,n);return{stride:c,pad:p,dataFormat:h,dilations:f,biasArg:d[0],preluArg:d[1],activationFunc:i}}function UO(e,t,n){return{boxes:KF("boxes",e,t,n),scores:KF("scores",e,t,n),maxOutputSize:KF("maxOutputSize",e,t,n),iouThreshold:KF("iouThreshold",e,t,n),scoreThreshold:KF("scoreThreshold",e,t,n),softNmsSigma:KF("softNmsSigma",e,t,n)}}var GO=function(){var e=Gm(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,S,I,C,R;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=UO(t,n,r),i=a.boxes,o=a.scores,s=a.maxOutputSize,u=a.iouThreshold,l=a.scoreThreshold,c=a.softNmsSigma,e.next=6,GI.nonMaxSuppressionWithScoreAsync(i,o,s,u,l,c);case 6:return p=e.sent,e.abrupt("return",[p.selectedIndices,p.selectedScores]);case 8:return h=UO(t,n,r),f=h.boxes,d=h.scores,m=h.maxOutputSize,v=h.iouThreshold,g=h.scoreThreshold,y=KF("padToMaxOutputSize",t,n,r),e.next=12,GI.nonMaxSuppressionPaddedAsync(f,d,m,v,g,y);case 12:return b=e.sent,e.abrupt("return",[b.selectedIndices,b.validOutputs]);case 14:return x=UO(t,n,r),w=x.boxes,k=x.scores,N=x.maxOutputSize,S=x.iouThreshold,I=x.scoreThreshold,e.next=17,GI.nonMaxSuppressionAsync(w,k,N,S,I);case 17:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 19:return C=Qy(KF("condition",t,n,r),"bool"),e.next=22,dS(C);case 22:return e.t2=e.sent,R=[e.t2],C.dispose(),e.abrupt("return",R);case 26:return e.abrupt("return",LN(KF("x",t,n,r),KF("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)}}(),jO=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=lk(0),this.tensorMap=new Map,px(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.import=function(){var e=Gm(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",lx((function(){var e=cS(n),t=r.length,i=e.length;Av(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];px(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=Gm(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",lx((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return eS(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)},Hm(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),HO=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m;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?16:24;break;case 3:return i=KF("keyDType",t,n,r),o=KF("valueDType",t,n,r),s=new jO(i,o),a.addHashTable(t.name,s),e.abrupt("return",[s.handle]);case 8:return u=KF("tableHandle",t,n,r,a),l=KF("keys",t,n,r),c=KF("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=KF("tableHandle",t,n,r,a),f=KF("keys",t,n,r),d=KF("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:throw TypeError("Node type "+t.op+" is not implemented");case 25:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function qO(e,t,n,r){var a=function(e,t,n){switch(e.category){case"arithmetic":return lx((function(){return function(e,t,n){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[mx(KF("a",e,t,n),KF("b",e,t,n))];case"AddN":return[kx(KF("tensors",e,t,n))];case"FloorMod":case"Mod":return[Vk(KF("a",e,t,n),KF("b",e,t,n))];case"Mul":return[yx(KF("a",e,t,n),KF("b",e,t,n))];case"RealDiv":case"Div":return[gx(KF("a",e,t,n),KF("b",e,t,n))];case"DivNoNan":return[Vw(KF("a",e,t,n),KF("b",e,t,n))];case"FloorDiv":return[vx(KF("a",e,t,n),KF("b",e,t,n))];case"Sub":return[Sk(KF("a",e,t,n),KF("b",e,t,n))];case"Minimum":return[Pk(KF("a",e,t,n),KF("b",e,t,n))];case"Maximum":return[uk(KF("a",e,t,n),KF("b",e,t,n))];case"Pow":return[rN(KF("a",e,t,n),KF("b",e,t,n))];case"SquaredDifference":return[QN(KF("a",e,t,n),KF("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return lx((function(){return function(e,t,n){switch(e.op){case"Abs":case"ComplexAbs":return[bx(KF("x",e,t,n))];case"Acos":return[xx(KF("x",e,t,n))];case"Acosh":return[wx(KF("x",e,t,n))];case"Asin":return[Mx(KF("x",e,t,n))];case"Asinh":return[Lx(KF("x",e,t,n))];case"Atan":return[zx(KF("x",e,t,n))];case"Atan2":return[Bx(KF("x",e,t,n),KF("y",e,t,n))];case"Atanh":return[Px(KF("x",e,t,n))];case"Ceil":return[mw(KF("x",e,t,n))];case"Complex":return[ny(KF("real",e,t,n),KF("imag",e,t,n))];case"Cos":return[Ew(KF("x",e,t,n))];case"Cosh":return[Tw(KF("x",e,t,n))];case"Elu":return[Gw(KF("x",e,t,n))];case"Erf":return[jw(KF("x",e,t,n))];case"Exp":return[Hw(KF("x",e,t,n))];case"Expm1":return[Kw(KF("x",e,t,n))];case"Floor":return[Zw(KF("x",e,t,n))];case"Log":return[mk(KF("x",e,t,n))];case"Log1p":return[vk(KF("x",e,t,n))];case"Imag":return[ak(KF("x",e,t,n))];case"Neg":return[xk(KF("x",e,t,n))];case"Reciprocal":return[NN(KF("x",e,t,n))];case"Real":return[Kk(KF("x",e,t,n))];case"Relu":return[SN(KF("x",e,t,n))];case"Round":return[DN(KF("x",e,t,n))];case"Selu":return[FN(KF("x",e,t,n))];case"Sigmoid":return[aw(KF("x",e,t,n))];case"Sin":return[BN(KF("x",e,t,n))];case"Sign":return[zN(KF("x",e,t,n))];case"Sinh":return[PN(KF("x",e,t,n))];case"Softplus":return[wk(KF("x",e,t,n))];case"Sqrt":return[ZN(KF("x",e,t,n))];case"Square":return[Uk(KF("x",e,t,n))];case"Tanh":return[ow(KF("x",e,t,n))];case"Tan":return[rS(KF("x",e,t,n))];case"Relu6":case"ClipByValue":return[vw(KF("x",e,t,n),KF("clipValueMin",e,t,n),KF("clipValueMax",e,t,n))];case"Rsqrt":return[_N(XF(e.inputNames[0],t,n))];case"Prod":return[iN(KF("x",e,t,n),KF("axes",e,t,n))];case"LeakyRelu":return[ck(KF("x",e,t,n),KF("alpha",e,t,n))];case"Prelu":return[aN(KF("x",e,t,n),KF("alpha",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return WO(e,t,n);case"convolution":return lx((function(){return function(e,t,n){switch(e.op){case"Conv1D":var r=KF("stride",e,t,n),a=KF("pad",e,t,n),i=KF("dataFormat",e,t,n).toUpperCase(),o=KF("dilation",e,t,n);return[kw(KF("x",e,t,n),KF("filter",e,t,n),r,a,i,o)];case"Conv2D":var s=KF("strides",e,t,n),u=QF(e,t,n),l=KF("dataFormat",e,t,n).toUpperCase(),c=KF("dilations",e,t,n);return[ww(KF("x",e,t,n),KF("filter",e,t,n),[s[1],s[2]],u,l,[c[1],c[2]])];case"_FusedConv2D":var p=VO(e,t,n),h=p.stride,f=p.pad,d=p.dataFormat,m=p.dilations,v=p.biasArg,g=p.preluArg,y=p.activationFunc;return[KS({x:KF("x",e,t,n),filter:KF("filter",e,t,n),strides:[h[1],h[2]],pad:f,dataFormat:d,dilations:[m[1],m[2]],bias:v,activation:y,preluActivationWeights:g})];case"FusedDepthwiseConv2dNative":var b=VO(e,t,n),x=b.stride,w=b.pad,k=b.dataFormat,N=b.dilations,S=b.biasArg,I=b.preluArg,C=b.activationFunc;return[JS({x:KF("x",e,t,n),filter:KF("filter",e,t,n),strides:[x[1],x[2]],pad:w,dataFormat:k,dilations:[N[1],N[2]],bias:S,activation:C,preluActivationWeights:I})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=KF("outputShape",e,t,n),E=KF("strides",e,t,n),T=QF(e,t,n);return[Sw(KF("x",e,t,n),KF("filter",e,t,n),R,[E[1],E[2]],T)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var A=KF("strides",e,t,n),D=QF(e,t,n),_=KF("dilations",e,t,n),F=KF("dataFormat",e,t,n).toUpperCase();return[_w(KF("input",e,t,n),KF("filter",e,t,n),[A[1],A[2]],D,F,[_[1],_[2]])];case"Conv3D":var O=KF("strides",e,t,n),M=KF("pad",e,t,n),L=KF("dataFormat",e,t,n).toUpperCase(),z=KF("dilations",e,t,n);return[Iw(KF("x",e,t,n),KF("filter",e,t,n),[O[1],O[2],O[3]],M,L,[z[1],z[2],z[3]])];case"AvgPool":var B=KF("strides",e,t,n),P=KF("pad",e,t,n),W=KF("kernelSize",e,t,n);return[$x(KF("x",e,t,n),[W[1],W[2]],[B[1],B[2]],P)];case"MaxPool":var V=KF("strides",e,t,n),U=KF("pad",e,t,n),G=KF("kernelSize",e,t,n);return[_k(KF("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPoolWithArgmax":var j=KF("strides",e,t,n),H=KF("pad",e,t,n),q=KF("kernelSize",e,t,n),K=KF("includeBatchInIndex",e,t,n),X=Ok(KF("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H,K);return[X.result,X.indexes];case"AvgPool3D":var Y=KF("strides",e,t,n),J=KF("pad",e,t,n),Z=KF("kernelSize",e,t,n);return[ew(KF("x",e,t,n),[Z[1],Z[2],Z[3]],[Y[1],Y[2],Y[3]],J)];case"MaxPool3D":var Q=KF("strides",e,t,n),$=KF("pad",e,t,n),ee=KF("kernelSize",e,t,n);return[Fk(KF("x",e,t,n),[ee[1],ee[2],ee[3]],[Q[1],Q[2],Q[3]],$)];case"Dilation2D":var te=KF("strides",e,t,n),ne=KF("pad",e,t,n),re=KF("dilations",e,t,n),ae=te[1],ie=te[2],oe=re[1],se=re[2];return[Ow(KF("x",e,t,n),KF("filter",e,t,n),[ae,ie],ne,[oe,se],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return lx((function(){return function(e,t,n){switch(e.op){case"Fill":var r=KF("shape",e,t,n),a=KF("dtype",e,t,n);return[Jw(r,KF("value",e,t,n),a)];case"LinSpace":return[fk(KF("start",e,t,n),KF("stop",e,t,n),KF("num",e,t,n))];case"Multinomial":var i=KF("logits",e,t,n),o=KF("numSamples",e,t,n),s=KF("seed",e,t,n);return[Hk(i,o,s)];case"OneHot":var u=KF("indices",e,t,n),l=KF("depth",e,t,n),c=KF("onValue",e,t,n),p=KF("offValue",e,t,n);return[wb(u,l,c,p)];case"Ones":return[Lk(KF("shape",e,t,n),KF("dtype",e,t,n))];case"OnesLike":return[Xk(KF("x",e,t,n))];case"RandomUniform":return[xN(KF("shape",e,t,n),KF("minval",e,t,n),KF("maxval",e,t,n),KF("dtype",e,t,n))];case"Range":return[kN(KF("start",e,t,n),KF("stop",e,t,n),KF("step",e,t,n),KF("dtype",e,t,n))];case"TruncatedNormal":var h=KF("shape",e,t,n),f=KF("mean",e,t,n),d=KF("stdDev",e,t,n),m=KF("seed",e,t,n);return[sS(h,f,d,KF("dtype",e,t,n),m)];case"Zeros":return[Mk(KF("shape",e,t,n),KF("dtype",e,t,n))];case"ZerosLike":return[Ww(KF("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return GO(e,t,n);case"evaluation":return lx((function(){return function(e,t,n){switch(e.op){case"TopKV2":var r=KF("x",e,t,n),a=KF("k",e,t,n),i=KF("sorted",e,t,n),o=oS(r,a,i);return[o.values,o.indices];case"Unique":var s=KF("x",e,t,n),u=uS(s);return[u.values,u.indices];case"UniqueV2":var l=KF("x",e,t,n),c=KF("axis",e,t,n),p=uS(l,c);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return lx((function(){return function(e,t,n){switch(e.op){case"ResizeBilinear":var r=KF("images",e,t,n),a=KF("size",e,t,n),i=KF("alignCorners",e,t,n);return[GI.resizeBilinear(r,[a[0],a[1]],i)];case"ResizeNearestNeighbor":var o=KF("images",e,t,n),s=KF("size",e,t,n),u=KF("alignCorners",e,t,n);return[GI.resizeNearestNeighbor(o,[s[0],s[1]],u)];case"CropAndResize":var l=KF("image",e,t,n),c=KF("boxes",e,t,n),p=KF("boxInd",e,t,n),h=KF("cropSize",e,t,n),f=KF("method",e,t,n),d=KF("extrapolationValue",e,t,n);return[GI.cropAndResize(l,c,p,h,f,d)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return lx((function(){return function(e,t,n){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=KF("default",e,t,n);return[XF(e.name,t,n)||r];case"Placeholder":return[XF(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[$F(KF("x",e,t,n))];case"IdentityN":return KF("x",e,t,n).map((function(e){return $F(e)}));case"Snapshot":return[$F(KF("x",e,t,n))];case"Shape":return[wN(KF("x",e,t,n).shape,"int32")];case"ShapeN":return KF("x",e,t,n).map((function(e){return wN(e.shape)}));case"Size":return[lk(KF("x",e,t,n).size,"int32")];case"Rank":return[lk(KF("x",e,t,n).rank,"int32")];case"NoOp":return[lk(1)];case"Print":var a=KF("x",e,t,n),i=KF("data",e,t,n),o=KF("message",e,t,n),s=KF("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 lx((function(){return function(e,t,n){switch(e.op){case"Equal":return[Bw(KF("a",e,t,n),KF("b",e,t,n))];case"NotEqual":return[qk(KF("a",e,t,n),KF("b",e,t,n))];case"Greater":return[nk(KF("a",e,t,n),KF("b",e,t,n))];case"GreaterEqual":return[rk(KF("a",e,t,n),KF("b",e,t,n))];case"Less":return[pk(KF("a",e,t,n),KF("b",e,t,n))];case"LessEqual":return[hk(KF("a",e,t,n),KF("b",e,t,n))];case"LogicalAnd":return[Ek(KF("a",e,t,n),KF("b",e,t,n))];case"LogicalNot":return[Tk(KF("a",e,t,n))];case"LogicalOr":return[Ak(KF("a",e,t,n),KF("b",e,t,n))];case"Select":case"SelectV2":return[Pw(KF("condition",e,t,n),KF("a",e,t,n),KF("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return lx((function(){return function(e,t,n){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[xb(KF("a",e,t,n),KF("b",e,t,n),KF("transposeA",e,t,n),KF("transposeB",e,t,n))];case"Transpose":return[kb(KF("x",e,t,n),KF("perm",e,t,n))];case"_FusedMatMul":var r=KF("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=KF("numArgs",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 l=KF("args",e,t,n),c=l[0],p=l[1];return[ZS({a:KF("a",e,t,n),b:KF("b",e,t,n),transposeA:KF("transposeA",e,t,n),transposeB:KF("transposeB",e,t,n),bias:c,activation:i,preluActivationWeights:p})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return lx((function(){return function(e,t,n){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[cw(KF("x",e,t,n),KF("mean",e,t,n),KF("variance",e,t,n),KF("offset",e,t,n),KF("scale",e,t,n),KF("epsilon",e,t,n))];case"LRN":return[dk(KF("x",e,t,n),KF("radius",e,t,n),KF("bias",e,t,n),KF("alpha",e,t,n),KF("beta",e,t,n))];case"Softmax":return[jN(KF("x",e,t,n))];case"LogSoftmax":return[Ck(KF("x",e,t,n))];case"SparseToDense":return[MS(KF("sparseIndices",e,t,n),KF("outputShape",e,t,n),KF("sparseValues",e,t,n),KF("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return lx((function(){return function(e,t,n){switch(e.op){case"Max":var r=KF("axis",e,t,n),a=KF("keepDims",e,t,n);return[Nk(KF("x",e,t,n),r,a)];case"Mean":var i=KF("axis",e,t,n),o=KF("keepDims",e,t,n);return[zk(KF("x",e,t,n),i,o)];case"Min":var s=KF("axis",e,t,n),u=KF("keepDims",e,t,n);return[Bk(KF("x",e,t,n),s,u)];case"Sum":var l=KF("axis",e,t,n),c=KF("keepDims",e,t,n);return[Ik(KF("x",e,t,n),l,c)];case"All":var p=KF("axis",e,t,n),h=KF("keepDims",e,t,n);return[Dx(KF("x",e,t,n),p,h)];case"Any":var f=KF("axis",e,t,n),d=KF("keepDims",e,t,n);return[_x(KF("x",e,t,n),f,d)];case"ArgMax":var m=KF("axis",e,t,n);return[Fx(KF("x",e,t,n),m)];case"ArgMin":var v=KF("axis",e,t,n);return[Ox(KF("x",e,t,n),v)];case"Prod":var g=KF("axis",e,t,n),y=KF("keepDims",e,t,n);return[iN(KF("x",e,t,n),g,y)];case"Cumsum":var b=KF("axis",e,t,n),x=KF("exclusive",e,t,n),w=KF("reverse",e,t,n);return[Aw(KF("x",e,t,n),b,x,w)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return lx((function(){return function(e,t,n){switch(e.op){case"ConcatV2":case"Concat":var r=KF("n",e,t,n),a=KF("axis",e,t,n),i=KF("tensors",e,t,n);return i=i.slice(0,r),[rw(i,a)];case"GatherV2":case"Gather":var o=KF("axis",e,t,n),s=KF("x",e,t,n),u=KF("indices",e,t,n);return[tk(s,Qy(u,"int32"),o)];case"ReverseV2":case"Reverse":var l=KF("axis",e,t,n),c=KF("x",e,t,n);return[CN(c,l)];case"Slice":var p=KF("begin",e,t,n),h=KF("size",e,t,n);return[iw(KF("x",e,t,n),p,h)];case"StridedSlice":var f=KF("begin",e,t,n),d=KF("end",e,t,n),m=KF("strides",e,t,n),v=KF("beginMask",e,t,n),g=KF("endMask",e,t,n),y=KF("ellipsisMask",e,t,n),b=KF("newAxisMask",e,t,n),x=KF("shrinkAxisMask",e,t,n),w=KF("x",e,t,n);return[nS(w,f,d,m,v,g,y,b,x)];case"Pack":return lx((function(){var r=KF("axis",e,t,n),a=KF("tensors",e,t,n),i=a[0].shape,o=$N(a[0]).shape,s=a.map((function(e){var t=Mv(e.shape,i);if(!t&&!Mv($N(e).shape,o))throw new Error("the input tensors shape does not match");return t?e:bb(e,i)}));return[eS(s,r)]}));case"Unpack":var k=KF("axis",e,t,n),N=KF("tensor",e,t,n);return cS(N,k);case"Tile":var S=KF("reps",e,t,n);return[Xw(KF("x",e,t,n),S)];case"Split":case"SplitV":var I=KF("axis",e,t,n),C=KF("numOrSizeSplits",e,t,n),R=KF("x",e,t,n);return YN(R,C,I);case"ScatterNd":var E=KF("indices",e,t,n),T=KF("values",e,t,n),A=KF("shape",e,t,n);return[OS(E,T,A)];case"GatherNd":var D=KF("x",e,t,n),_=KF("indices",e,t,n);return[LS(D,_)];case"SparseToDense":var F=KF("sparseIndices",e,t,n),O=KF("outputShape",e,t,n),M=KF("sparseValues",e,t,n),L=KF("defaultValue",e,t,n);return[MS(F,M,O,M.dtype===L.dtype?L:Qy(L,M.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return lx((function(){return function(e,t,n){switch(e.op){case"FFT":return[HN(KF("x",e,t,n))];case"IFFT":return[qN(KF("x",e,t,n))];case"RFFT":return[JN(KF("x",e,t,n))];case"IRFFT":return[KN(KF("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return lx((function(){return function(e,t,n){switch(e.op){case"Cast":return[Qy(KF("x",e,t,n),KF("dtype",e,t,n))];case"ExpandDims":var r=KF("axis",e,t,n);return[qw(KF("x",e,t,n),r)];case"Squeeze":var a=KF("axis",e,t,n);return[$N(KF("x",e,t,n),a)];case"Reshape":return[bb(KF("x",e,t,n),KF("shape",e,t,n))];case"MirrorPad":return[Wk(KF("x",e,t,n),KF("padding",e,t,n),KF("mode",e,t,n))];case"PadV2":case"Pad":return[Jk(KF("x",e,t,n),KF("padding",e,t,n),KF("constantValue",e,t,n))];case"SpaceToBatchND":var i=KF("blockShape",e,t,n),o=KF("paddings",e,t,n);return[tN(KF("x",e,t,n),i,o)];case"BatchToSpaceND":var s=KF("blockShape",e,t,n),u=KF("crops",e,t,n);return[uw(KF("x",e,t,n),s,u)];case"DepthToSpace":var l=KF("blockSize",e,t,n),c=KF("dataFormat",e,t,n).toUpperCase();return[Dw(KF("x",e,t,n),l,c)];case"BroadcastTo":return[dw(KF("x",e,t,n),KF("shape",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return HO(e,t,n,r);case"custom":var a=qF(e.op);if(a&&a.customExecutor)return a.customExecutor(new _O(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return a instanceof Promise?a.then((function(e){return[].concat(e)})):[].concat(a)}var KO=function(){function e(e,t,n,r){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var t=e.prototype;return t.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},t.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},t.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},t.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},t.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.getWeight=function(e){return this.weightMap[e]},t.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},t.getTensorArray=function(e){return this.tensorArrayMap[e]},t.addTensorList=function(e){this.tensorListMap[e.id]=e},t.getTensorList=function(e){return this.tensorListMap[e]},t.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)},Hm(e,[{key:"currentContext",set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},get:function(){return this.contexts}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}}]),e}();function XO(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=Object.keys(e).map((function(e){return ZF(e)[0]})),c=[];null!=r&&(c=r.map((function(e){return ZF(e.name)[0]})));for(var p=[].concat(t);p.length>0;){var h=p.pop();(QO(h)||$O(h)||eM(h))&&null==o&&(s=(o=h).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(h.name),null==n[h.name]&&(-1===l.indexOf(h.name)&&-1===c.indexOf(h.name)&&(0!==h.inputs.length?h.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),p.push(e))})):i.push(h.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var YO=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],JO=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],ZO=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function QO(e){return YO.indexOf(e.op)>=0}function $O(e){return JO.indexOf(e.op)>=0}function eM(e){return ZO.indexOf(e.op)>=0}var tM=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t=e.prototype;return t.getCompilationKey=function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.compile=function(e,t){var n=XO(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '"+a.name+"', which has the dynamic op '"+a.op+"'. 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r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=n.dilationDepth,c=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,f=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=h-1-n.padInfo.front,v=d-1-n.padInfo.left,g=f-1-n.padInfo.top,y=Zy(t.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(e),w=0;w<n.batchSize;++w)for(var k=0;k<n.inChannels;++k)for(var N=0;N<n.inDepth;++N)for(var S=0;S<n.inHeight;++S)for(var I=0;I<n.inWidth;++I){for(var C=N-m,R=S-g,E=I-v,T=0,A=0;A<h;A+=l){var D=(C+A)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var _=0;_<f;_+=c){var F=(R+_)/a;if(!(F<0||F>=n.outHeight||Math.floor(F)!==F))for(var O=0;O<d;O+=p){var M=(E+O)/i;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))T+=x.get(w,D,F,M,k)}}}y.set(T*b,w,N,S,I,k)}return y.toTensor()},n.maxPool3d=function(e,t){return hL(e,"maxPool3d"),this.pool3d(e,t,"max").toFloat()},n.maxPool3dPositions=function(e,t){for(var n=Zy(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m=this.bufferSync(e),v=0;v<t.batchSize;++v)for(var g=0;g<t.inChannels;++g)for(var y=0;y<t.outDepth;++y){for(var b=y*r-h,x=b;x<0;)x+=o;for(var w=Math.min(t.inDepth,l+b),k=0;k<t.outHeight;++k){for(var N=k*a-f,S=N;S<0;)S+=s;for(var I=Math.min(t.inHeight,c+N),C=0;C<t.outWidth;++C){for(var R=C*i-d,E=R;E<0;)E+=u;for(var T=Math.min(t.inWidth,p+R),A=Number.NEGATIVE_INFINITY,D=-1,_=x;_<w;_+=o)for(var F=_-b,O=S;O<I;O+=s)for(var M=O-N,L=E;L<T;L+=u){var z=L-R,B=m.get(v,_,O,L,g);B>=A&&(A=B,D=F*c*p+M*c+z)}n.set(D,v,y,k,C,g)}}}return n.toTensor()},n.maxPool3dBackprop=function(e,t,n,r){hL([t,n],"maxPool3dBackprop");for(var a=this.maxPool3dPositions(t,r),i=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=p-1-r.padInfo.front,m=f-1-r.padInfo.left,v=h-1-r.padInfo.top,g=Zy(t.shape,"float32"),y=this.bufferSync(a),b=this.bufferSync(e),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var k=0;k<r.inDepth;++k)for(var N=0;N<r.inHeight;++N)for(var S=0;S<r.inWidth;++S){for(var I=k-d,C=N-v,R=S-m,E=0,T=0;T<p;T+=u){var A=(I+T)/i;if(!(A<0||A>=r.outDepth||Math.floor(A)!==A))for(var D=0;D<h;D+=l){var _=(C+D)/o;if(!(_<0||_>=r.outHeight||Math.floor(_)!==_))for(var F=0;F<f;F+=c){var O=(R+F)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=p*h*f-1-y.get(x,A,_,O,w)===T*h*f+D*f+F?1:0;if(0!==M)E+=b.get(x,A,_,O,w)*M}}}}g.set(E,x,k,N,S,w)}return g.toTensor()},n.resizeBilinear=function(e,t,n,r){hL(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(e.dataId),c=new Float32Array(Ov([i,t,n,u])),p=[r&&t>1?o-1:o,r&&n>1?s-1:s],h=[r&&t>1?t-1:t,r&&n>1?n-1:n],f=0,d=p[0]/h[0],m=p[1]/h[1],v=0;v<i;v++)for(var g=0;g<t;g++)for(var y=d*g,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),k=v*e.strides[0]+b*e.strides[1],N=v*e.strides[0]+w*e.strides[1],S=0;S<n;S++)for(var I=m*S,C=Math.floor(I),R=I-C,E=Math.min(s-1,Math.ceil(I)),T=k+C*e.strides[2],A=N+C*e.strides[2],D=k+E*e.strides[2],_=N+E*e.strides[2],F=0;F<u;F++){var O=l[T+F],M=l[A+F],L=O+(l[D+F]-O)*R,z=L+(M+(l[_+F]-M)*R-L)*x;c[f++]=z}return ay(c,[i,t,n,u])},n.resizeBilinearBackprop=function(e,t,n){hL([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=[n&&l>1?i-1:i,n&&c>1?o-1:o],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],v=this.readSync(e.dataId),g=0,y=0;y<a;y++)for(var b=y*t.strides[0],x=0;x<l;x++)for(var w=x*d,k=Math.floor(w),N=Math.min(Math.ceil(w),i-1),S=b+k*t.strides[1],I=b+N*t.strides[1],C=w-k,R=1-C,E=0;E<c;E++)for(var T=E*m,A=Math.floor(T),D=Math.min(Math.ceil(T),o-1),_=T-A,F=1-_,O=S+A*t.strides[2],M=S+D*t.strides[2],L=I+A*t.strides[2],z=I+D*t.strides[2],B=R*F,P=R*_,W=C*F,V=C*_,U=0;U<s;U++){var G=v[g++];p[O+U]+=G*B,p[M+U]+=G*P,p[L+U]+=G*W,p[z+U]+=G*V}return iS(p,[a,o,i,s],t.dtype)},n.resizeNearestNeighbor=function(e,t,n,r){hL(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(e.dataId),c=new Float32Array(i*t*n*u),p=[r&&t>1?o-1:o,r&&n>1?s-1:s],h=[r&&t>1?t-1:t,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,v=0;v<i;v++)for(var g=v*e.strides[0],y=0;y<t;y++)for(var b=f*y,x=g+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],w=0;w<n;w++)for(var k=d*w,N=x+Math.min(s-1,r?Math.round(k):Math.floor(k))*e.strides[2],S=0;S<u;S++){var I=l[N+S];c[m++]=I}return 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i=e.shape[3],o=i-1,s=this.readSync(e.dataId),u=e.size,l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-a);l[p]=f}return iS(l,e.shape)},n.LRNGrad=function(e,t,n,r,a,i,o){hL(e,"LRNGrad");for(var s=e.shape[3],u=this.readSync(e.dataId),l=this.readSync(t.dataId),c=this.readSync(n.dataId),p=new Float32Array(e.size),h=e.size,f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),v=f-d+Math.min(s,d+r+1),g=0,y=m;y<v;y++)g+=Math.pow(l[y],2);g=i*g+a;for(var b=m;b<v;b++){var x=-2*i*o*l[b]*c[f]/g;f===b&&(x+=Math.pow(g,-o)),x*=u[f],p[b]+=x}}return iS(p,e.shape)},n.multinomial=function(e,t,n,r){hL(e,"multinomial");for(var a=t?e:jN(e),i=a.shape[0],o=a.shape[1],s=Mk([i,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(a.dataId),c=0;c<i;++c){var p=c*o,h=new Float32Array(o-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=dN(r.toString()),m=c*n,v=0;v<n;++v){var g=d();u[m+v]=h.length;for(var y=0;y<h.length;y++)if(g<h[y]){u[m+v]=y;break}}}return s},n.oneHot=function(e,t,n,r){hL(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=this.readSync(e.dataId),o=0;o<e.size;++o)i[o]>=0&&i[o]<t&&(a[o*t+i[o]]=n);return aS(a,[e.size,t],"int32")},n.nonMaxSuppression=function(e,t,n,r,a){hL(e,"nonMaxSuppression");var i=this.readSync(e.dataId),o=this.readSync(t.dataId);return fL(i,o,n,r,a)},n.depthToSpace=function(e,t,n){Av("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),Av(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));for(var r=e.shape[0],a=e.shape[1],i=e.shape[2],o=e.shape[3],s=a*t,u=i*t,l=o/(t*t),c=this.readSync(e.dataId),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var d=0;d<s;++d)for(var m=Math.floor(d/t),v=d%t,g=0;g<u;++g)for(var y=Math.floor(g/t),b=(v*t+g%t)*l,x=0;x<l;++x){var w=x+b+o*(y+i*(m+a*f));p[h++]=c[w]}return iS(p,[r,s,u,l])},n.broadcastedBinaryOp=function(e,t,n,r){var a=zw(e.shape,t.shape),i=Zy(a,n),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=Mw(e.shape,a),l=Mw(t.shape,a),c=i.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(o[p%o.length],s[p%s.length]);else for(var h=this.bufferSync(e),f=this.bufferSync(t),d=function(n){var a=i.indexToLoc(n),p=a.slice(-e.rank);u.forEach((function(e){return p[e]=0}));var d=h.locToIndex(p),m=a.slice(-t.rank);l.forEach((function(e){return m[e]=0}));var v=f.locToIndex(m);c[n]=r(o[d],s[v])},m=0;m<c.length;++m)d(m);return i.toTensor()},n.split=function(e,t,n){return dL(e,t,n)},n.dispose=function(){},n.floatPrecision=function(){return 32},n.epsilon=function(){return e.prototype.epsilon.call(this)},n.cropAndResize=function(e,t,n,r,a,i){for(var o=e.shape,s=o[0],u=o[1],l=o[2],c=o[3],p=t.shape[0],h=r[0],f=r[1],d=Zy([p,h,f,c],"float32"),m=this.readSync(t.dataId),v=this.readSync(n.dataId),g=this.readSync(e.dataId),y=e.strides,b=d.strides,x=0;x<p;x++){var w=4*x,k=m[w],N=m[w+1],S=m[w+2],I=m[w+3],C=v[x];if(!(C>=s))for(var R=h>1?(S-k)*(u-1)/(h-1):0,E=f>1?(I-N)*(l-1)/(f-1):0,T=0;T<h;T++){var A=h>1?k*(u-1)+T*R:.5*(k+S)*(u-1);if(A<0||A>u-1)for(var D=0;D<f;D++)for(var _=0;_<c;_++){var F=_+D*b[2]+T*b[1]+x*b[0];d.values[F]=i}else if("bilinear"===a)for(var O=Math.floor(A),M=Math.ceil(A),L=A-O,z=0;z<f;z++){var B=f>1?N*(l-1)+z*E:.5*(N+I)*(l-1);if(B<0||B>l-1)for(var P=0;P<c;P++){var W=P+z*b[2]+T*b[1]+x*b[0];d.values[W]=i}else for(var V=Math.floor(B),U=Math.ceil(B),G=B-V,j=0;j<c;j++){var H=j+V*y[2]+O*y[1]+C*y[0],q=g[H],K=g[H=j+U*y[2]+O*y[1]+C*y[0]],X=g[H=j+V*y[2]+M*y[1]+C*y[0]],Y=q+(K-q)*G,J=X+(g[H=j+U*y[2]+M*y[1]+C*y[0]]-X)*G;H=j+z*b[2]+T*b[1]+x*b[0],d.values[H]=Y+(J-Y)*L}}else for(var Z=0;Z<f;++Z){var Q=f>1?N*(l-1)+Z*E:.5*(N+I)*(l-1);if(Q<0||Q>l-1)for(var $=0;$<c;$++){var ee=$+Z*b[2]+T*b[1]+x*b[0];d.values[ee]=i}else for(var te=Math.round(Q),ne=Math.round(A),re=0;re<c;re++){var ae=re+te*y[2]+ne*y[1]+C*y[0],ie=re+Z*b[2]+T*b[1]+x*b[0];d.values[ie]=g[ae]}}}}return d.toTensor()},n.sparseToDense=function(e,t,n,r){var a=Fb(0,e,n),i=a.sliceRank,o=a.numUpdates,s=a.sliceSize,u=a.strides,l=a.outputSize;return this.scatter(e,t,n,l,s,o,i,u,r,!1)},n.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],a=Tb(e,t),i=a[0],o=a[1],s=a[2],u=a[3];if(0===o)return ay([],i,e.dtype);for(var l=new Sg([o,s],e.dtype),c=this.readSync(t.dataId),p=this.readSync(e.dataId),h=0;h<o;h++){for(var f=[],d=0,m=0;m<r;m++){var v=c[h*r+m];d+=v*u[m],f.push(v)}if(d<0||d>=e.size/s)throw new Error("Invalid 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Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<a;b++)l?f.values[v*a+b]+=h[d*a+b]:f.values[v*a+b]=0===t.rank?h[0]:h[d*a+b]}return f.toTensor().reshape(n)},t}(av);function bL(e){for(var t=new Float32Array(e.length),n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var xL={kernelName:"Abs",backendName:"cpu",kernelFunc:function(e){var t=e.inputs.x,n=e.backend,r=new Float32Array(Ov(t.shape));if("complex64"!==t.dtype)r=bL(n.data.get(t.dataId).values);else for(var a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,l=0;l<s.length;l++){var c=s[l],p=u[l];r[l]=Math.hypot(c,p)}return n.makeOutput(r,t.shape,"float32")}};function wL(e){return function(t,n,r,a,i){var o=zw(t,n),s=o.length,u=rg(o),l=Gv(i,Ov(o)),c=t.length,p=n.length,h=rg(t),f=rg(n),d=Mw(t,o),m=Mw(n,o);if(d.length+m.length===0)for(var v=0;v<l.length;++v)l[v]=e(r[v%r.length],a[v%a.length]);else for(var g=function(t){var n=vg(t,s,u),i=n.slice(-c);d.forEach((function(e){return i[e]=0}));var o=mg(i,c,h),v=n.slice(-p);m.forEach((function(e){return v[e]=0}));var g=mg(v,p,f);l[t]=e(r[o],a[g])},y=0;y<l.length;++y)g(y);return[l,o]}}function kL(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=n.makeTensorInfo(r.shape,"complex64");return n.data.get(s.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",i),imag:n.makeTensorInfo(a.shape,"float32",o)},s}var NL={kernelName:"Complex",backendName:"cpu",kernelFunc:kL};function SL(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var IL={kernelName:"Identity",backendName:"cpu",kernelFunc:SL};function CL(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.real,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var RL={kernelName:"Real",backendName:"cpu",kernelFunc:CL};function EL(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dtype;if("complex64"===i){if("complex64"===a.dtype)return SL({inputs:{x:a},backend:n});var o=Mk(a.shape),s=EL({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),u=kL({inputs:{real:s,imag:o},backend:n});return o.dispose(),n.disposeIntermediateTensorInfo(s),u}if("complex64"===a.dtype){var l=CL({inputs:{input:a},backend:n}),c=EL({inputs:{x:l},backend:n,attrs:{dtype:i}});return n.disposeIntermediateTensorInfo(l),c}if(!Kv(a.dtype,i)){var p=SL({inputs:{x:a},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:i}}if("int32"===i){var h=n.data.get(a.dataId).values,f=Int32Array.from(h);return n.makeTensorInfo(a.shape,"int32",f)}if("bool"===i){var d=n.data.get(a.dataId).values,m=ig([0],a.dtype),v=wL((function(e,t){return e!==t?1:0}))(a.shape,[],d,m,"bool"),g=v[0],y=v[1];return n.makeTensorInfo(y,"bool",g)}throw new Error("Error in Cast: failed to cast "+a.dtype+" to "+i)}var TL={kernelName:"Cast",backendName:"cpu",kernelFunc:EL};function AL(e,t,n,r){return null==n?function(n){var a=n.inputs,i=n.backend,o=a.a,s=a.b,u=i;hL([o,s],e);var l=u.data.get(o.dataId).values,c=u.data.get(s.dataId).values,p=r||o.dtype,h=t(o.shape,s.shape,l,c,p),f=h[0],d=h[1];return u.makeTensorInfo(d,p,f)}:function(e){var a=e.inputs,i=e.backend,o=a.a,s=a.b,u=i;if("complex64"===o.dtype||"complex64"===s.dtype){var l=EL({inputs:{x:o},backend:u,attrs:{dtype:"complex64"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,h=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(h.dataId).values,m=EL({inputs:{x:s},backend:u,attrs:{dtype:"complex64"}}),v=u.data.get(m.dataId),g=v.complexTensorInfos.real,y=v.complexTensorInfos.imag,b=u.data.get(g.dataId).values,x=u.data.get(y.dataId).values,w=n(o.shape,s.shape,f,d,b,x),k=w[0],N=w[1],S=w[2],I=u.makeTensorInfo(S,"float32",k),C=u.makeTensorInfo(S,"float32",N),R=kL({inputs:{real:I,imag:C},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(m),u.disposeIntermediateTensorInfo(I),u.disposeIntermediateTensorInfo(C),R}var E=u.data.get(o.dataId).values,T=u.data.get(s.dataId).values,A=r||o.dtype,D=t(o.shape,s.shape,E,T,A),_=D[0],F=D[1];return u.makeTensorInfo(F,A,_)}}function DL(e){return function(t,n,r,a,i,o){var s=zw(t,n),u=Ov(s),l=s.length,c=rg(s),p=Gv("float32",u),h=Gv("float32",u),f=Mw(t,s),d=Mw(n,s),m=hC(r,a),v=hC(i,o),g=t.length,y=rg(t),b=n.length,x=rg(n);if(f.length+d.length===0)for(var w=0;w<p.length;w++){var k=w%m.length,N=w%v.length,S=e(m[2*k],m[2*k+1],v[2*N],v[2*N+1]);p[w]=S.real,h[w]=S.imag}else for(var I=function(t){var n=vg(t,l,c),r=n.slice(-g);f.forEach((function(e){return r[e]=0}));var a=mg(r,g,y),i=n.slice(-b);d.forEach((function(e){return i[e]=0}));var o=mg(i,b,x),s=e(m[2*a],m[2*a+1],v[2*o],v[2*o+1]);p[t]=s.real,h[t]=s.imag},C=0;C<p.length;C++)I(C);return[p,h,s]}}var _L=wL((function(e,t){return e+t})),FL=DL((function(e,t,n,r){return{real:e+n,imag:t+r}})),OL=AL(hv,_L,FL),ML={kernelName:hv,backendName:"cpu",kernelFunc:OL};function LL(e){return function(t,n,r){for(var a=Gv(n,t.length),i=0;i<t.length;++i)a[i]=e(t[i],r);return a}}function zL(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,s=a.x;if(hL(s,e),"string"===s.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");for(var u=o,l=u.data.get(s.dataId).values,c=Ov(s.shape),p=n||s.dtype,h=jv(p,c),f=0;f<c;++f)h[f]=t(l[f],i);return u.makeTensorInfo(s.shape,p,h)}}function BL(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,s=a.x;if(hL(s,e),"string"===s.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");var u=o,l=u.data.get(s.dataId).values,c=n||s.dtype,p=t(l,c,i);return u.makeTensorInfo(s.shape,c,p)}}var PL=LL((function(e){return 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t=e.inputs,n=e.backend,r=t.x,a=t.alpha;hL([r,a],"prelu");var i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=dz(r.shape,a.shape,i,o,r.dtype),u=s[0],l=s[1];return n.makeTensorInfo(l,r.dtype,u)}var vz={kernelName:"Prelu",backendName:"cpu",kernelFunc:mz},gz=zL("Relu",(function(e){return Math.max(0,e)})),yz={kernelName:"Relu",backendName:"cpu",kernelFunc:gz},bz=zL("Relu6",(function(e){return Math.min(Math.max(0,e),6)})),xz={kernelName:"Relu6",backendName:"cpu",kernelFunc:bz};function wz(e,t,n,r){if("linear"===n)return SL({inputs:{x:t},backend:e});if("relu"===n)return gz({inputs:{x:t},backend:e});if("elu"===n)return hz({inputs:{x:t},backend:e});if("relu6"===n)return bz({inputs:{x:t},backend:e});if("prelu"===n)return mz({inputs:{x:t,alpha:r},backend:e});throw new Error("Activation "+n+" has not been implemented for the CPU backend.")}function kz(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=Ov(a.shape),s=Wv(i,o),u=Ov(s);Av(o===u,(function(){return"The new shape 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IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_PACK_DEPTHWISECONV",(function(){return!1})),IP.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_PACK_REDUCE",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_LAZILY_UNPACK",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_CONV_IM2COL",(function(){return IP.getBool("WEBGL_PACK")})),IP.registerFlag("WEBGL_MAX_TEXTURE_SIZE",(function(){return function(e){if(null==aP){var t=YB(e);aP=t.getParameter(t.MAX_TEXTURE_SIZE)}return aP}(IP.getNumber("WEBGL_VERSION"))})),IP.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",(function(){return function(e){if(null==iP){var 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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 "},VP=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 "},UP=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 = 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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=YP(e.shapeInfo.logicalShape,t.logicalShape),l=iW(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===Ov(e.shapeInfo.logicalShape),m=1===Ov(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&&Mv(o,i))return"\n float "+a+"() {\n return sampleTexture("+n+", resultUV);\n }\n ";var l,c=iW(u),p=YP(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=HP(),p=function(e){return"\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return 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"+$P+"\n "+eW+"\n "+tW+"\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(Mv(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++)i*=e[e.length-u-1],o="\n int b"+u+" = index / "+i+";\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(Mv(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=qP(["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=qP(["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=qP(["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=qP(["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+=nW),[h,p,o,s,i,u,n].join("\n")}function ZP(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=rW(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 "+aW(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=rW(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&&Mv(t,a)){var i=a[0],o=a[1];return"\n float "+r+"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n return sampleTexture("+n+", uv);\n }\n "}var s=Uv(t),u=s.newShape,l=s.keptDims,c=u;if(c.length<t.length){var p=oW(e,c);return"\n "+ZP(p)+"\n float "+r+"(int row, int col) {\n return "+r+"("+sW(["row","col"],l)+");\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 "+aW(e)+"\n }\n ";var h=a[0],f=a[1],d=rW(n);if(1===f)return"\n float "+r+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+t[1]+", 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / "+h+".0);\n return sampleTexture("+n+", uv);\n }\n ";if(1===h)return"\n float "+r+"(int row, int col) {\n float index = dot(vec3(row, col, "+d+"), vec3("+t[1]+", 1, 1));\n vec2 uv = vec2((index + 0.5) / "+f+".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 + "+d+";\n vec2 uv = uvFromFlat("+h+", "+f+", 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=Uv(t),s=o.newShape,u=o.keptDims,l=s;if(l.length<t.length){var c=oW(e,l);return"\n "+ZP(c)+"\n float "+r+"(int row, int col, int depth) {\n return "+r+"("+sW(["row","col","depth"],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 "+aW(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=rW(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=Uv(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){var c=oW(e,u);return"\n "+ZP(c)+"\n float "+r+"(int row, int col, int depth, int depth2) {\n return "+r+"("+sW(["row","col","depth","depth2"],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 "+aW(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=rW(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=Uv(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=oW(e,l);return"\n "+ZP(p)+"\n float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n return "+r+"("+sW(["row","col","depth","depth2","depth3"],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 "+aW(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=rW(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=Uv(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=oW(e,i);return"\n "+ZP(s)+"\n float "+r+"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n return "+r+"("+sW(["row","col","depth","depth2","depth3","depth4"],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 "+aW(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=rW(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 QP(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=HP(),"\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=HP();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=HP();if(null!=a&&Mv(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=t.slice(1),s=oW(e,o);return"\n "+QP(s)+"\n vec4 "+r+"(int b, int row, int col) {\n return "+r+"("+sW(["b","row","col"],[1,2])+");\n }\n "}var u=i[0],l=i[1],c=Math.ceil(t[2]/2),p=c*Math.ceil(t[1]/2),h=HP();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,c*=t[n-f-1],h="b"+f+" * "+c+" + "+h;var d=HP();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 $P="\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",eW="\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",tW="\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",nW="\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 rW(e){return"offset"+e}function aW(e){var t=e.name,n=Ov(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 iW(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 oW(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function sW(e,t){return t.map((function(t){return e[t]})).join(", ")}var uW=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Av(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=iW(l),p=jP("coords",l);if(1===i){var h=iW(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=jP("sourceLocR",s-1).concat("inIdx.r"),g=jP("sourceLocG",s-1).concat("inIdx.g"),y=jP("sourceLocB",s-1).concat("inIdx.b"),b=jP("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 "},lW=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 "},cW=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 "},pW="return (a < 0.) ? b * a : a;",hW=function(e,t,n){this.variableNames=["A","B"],this.outputShape=zw(t,n),this.userCode="\n float binaryOperation(float a, float b) {\n "+e+"\n }\n\n void main() {\n float a = getAAtOutCoords();\n float b = getBAtOutCoords();\n setOutput(binaryOperation(a, b));\n }\n "},fW="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",dW=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=zw(t,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===Ov(this.outputShape))i="\n result.y = 0.;\n result.z = 0.;\n result.w = 0.;\n ";else if(i="\n "+iW(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=jP("coords",a);i+="\n bool nextRowOutOfBounds =\n ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n bool nextColOutOfBounds =\n ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n result.y = nextColOutOfBounds ? 0. : result.y;\n result.z = nextRowOutOfBounds ? 0. : result.z;\n result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n "}this.userCode="\n vec4 binaryOperation(vec4 a, vec4 b) {\n "+e+"\n }\n\n void main() {\n vec4 a = getAAtOutCoords();\n vec4 b = getBAtOutCoords();\n\n vec4 result = binaryOperation(a, b);\n "+i+"\n\n setOutput(result);\n }\n "},mW=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}(),vW=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}(),gW=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 "},yW=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 "},bW=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 "},xW=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 "},wW=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 "},kW=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 "},NW=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 "},SW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var a=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterHeight,p=e.filterWidth,h=4*Math.floor(e.inChannels/4),f=e.inChannels%4,d="channelsLast"===e.dataFormat,m=d?1:2,v=d?2:3,g=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":"\n float activation(float x) {\n "+n+"\n }\n ",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n "+y+"\n\n const ivec2 strides = ivec2("+o+", "+s+");\n const ivec2 pads = ivec2("+a+", "+i+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords["+g+"];\n\n ivec2 xRCCorner =\n ivec2(coords["+m+"], coords["+v+"]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < "+c+"; wR++) {\n int xR = xRCorner + wR * "+u+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+p+"; wC++) {\n int xC = xCCorner + wC * "+l+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if ("+d+") {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if ("+(1===f)+") {\n\n if ("+d+") {\n dotProd +=\n getX(batch, xR, xC, "+h+") *\n getW(wR, wC, "+h+", d2);\n } else {\n dotProd +=\n getX(batch, "+h+", xR, xC) *\n getW(wR, wC, "+h+", d2);\n }\n\n } else if ("+(2===f)+") {\n vec2 wValues = vec2(\n getW(wR, wC, "+h+", d2),\n getW(wR, wC, "+h+" + 1, d2)\n );\n\n if ("+d+") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, "+h+"),\n getX(batch, xR, xC, "+h+" + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, "+h+", xR, xC),\n getX(batch, "+h+" + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if ("+(3===f)+") {\n vec3 wValues = vec3(\n getW(wR, wC, "+h+", d2),\n getW(wR, wC, "+h+" + 1, d2),\n getW(wR, wC, "+h+" + 2, d2)\n );\n\n if ("+d+") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, "+h+"),\n getX(batch, xR, xC, "+h+" + 1),\n getX(batch, xR, xC, "+h+" + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, "+h+", xR, xC),\n getX(batch, "+h+" + 1, xR, xC),\n getX(batch, "+h+" + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n "+x+"\n "+b+"\n setOutput(result);\n }\n "},IW=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 "},CW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var a=e.inHeight,i=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=e.outChannels/e.inChannels,m="",v="";n&&(m=r?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":"\n float activation(float x) {\n "+n+"\n }\n ",v="result = activation(result);");var g=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n "+m+"\n\n const ivec2 strides = ivec2("+u+", "+l+");\n const ivec2 pads = ivec2("+o+", "+s+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / "+d+";\n int q = d2 - d1 * "+d+";\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < "+h+"; wR++) {\n int xR = xRCorner + wR * "+c+";\n\n if (xR < 0 || xR >= "+a+") {\n continue;\n }\n\n for (int wC = 0; wC < "+f+"; wC++) {\n int xC = xCCorner + wC * "+p+";\n\n if (xC < 0 || xC >= "+i+") {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n\n float result = dotProd;\n "+g+"\n "+v+"\n setOutput(result);\n }\n "},RW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;for(var a=e.inHeight,i=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=f,m="int xR; int xC; int xCOffset;",v=0;v<h;v++)for(var g=0;g<f;g++)m+="\n vec4 xTexelR"+v+"C"+2*g+" = vec4(0.);\n vec4 wR"+v+"C"+g+" = vec4(0.);\n vec4 xR"+v+"C"+g+" = vec4(0.);";for(var y=0;y<h;y++)for(var b=0;b<d;b++){var x=2*b;if(m+="\n xR = xRCorner + "+y*c+";\n xC = xCCorner + "+x*p+";\n ",1===l){if(x<f&&(m+=s%2==1?"\n xCOffset = xC + 1;\n if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+x+" = 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 >= "+i+") {\n xTexelR"+y+"C"+x+".zw = vec2(0.);\n }\n } else {\n xTexelR"+y+"C"+x+" = vec4(0.);\n }\n\n xCOffset = xC + 1 - 2;\n if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n vec4 previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if(xCOffset + 1 >= "+i+") {\n previous.zw = vec2(0.);\n }\n\n xR"+y+"C"+x+" = vec4(previous.zw, xTexelR"+y+"C"+x+".xy);\n } else {\n xR"+y+"C"+x+" = vec4(0, 0, xTexelR"+y+"C"+x+".xy);\n }\n ":"\n if(xR >= 0 && xR < "+a+" && xC >= 0 && xC < "+i+") {\n xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n } else {\n xTexelR"+y+"C"+x+" = vec4(0.);\n }\n\n xR"+y+"C"+x+" = xTexelR"+y+"C"+x+";\n ",x+1<f)){var w=s%2==0?Ev(p):p;p%2==0&&s%2==1||p%2!=0&&s%2!=1?(m+="\n xCOffset = xC + "+s%2+" + "+w+";\n\n if(xR >= 0 && xR < "+a+" &&\n xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n }\n ",p>1&&(m+="\n xCOffset -= 2;\n if(xR >= 0 && xR < "+a+" &&\n xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+y+"C"+x+" = vec4(0.);\n }\n "),m+="\n xR"+y+"C"+(x+1)+" = vec4(\n xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".xy);\n "):m+="\n xCOffset = xC + "+w+";\n\n if(xR >= 0 && xR < "+a+" &&\n xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n }\n\n xR"+y+"C"+(x+1)+" = xTexelR"+y+"C"+(x+2)+";\n "}}else x<f&&(m+="\n if(xR >= 0 && xR < "+a+") {\n ",s%2==1?(m+="\n xCOffset = xC + 1 - "+l+";\n if(xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+y+"C"+x+" = vec4(0.);\n }\n\n if(xC + 1 >= 0 && xC + 1 < "+i+") {\n xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xC + 1, d1);\n } else {\n xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n }\n\n xR"+y+"C"+x+" = vec4(\n xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n ",x+1<f&&(m+="\n vec4 final = vec4(0.);\n xCOffset = xC + 1 + "+l+";\n if(xCOffset >= 0 && xCOffset < "+i+") {\n final = getX(batch, xR, xCOffset, d1);\n }\n xR"+y+"C"+(x+1)+" = vec4(xTexelR"+y+"C"+(x+2)+".xy, final.xy);\n ")):(m+="\n if(xC >= 0 && xC < "+i+") {\n xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n } else {\n xTexelR"+y+"C"+x+" = vec4(0.);\n }\n\n xCOffset = xC + "+l+";\n if(xCOffset >= 0 && xCOffset < "+i+") {\n xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n }\n\n xR"+y+"C"+x+" = vec4(\n xTexelR"+y+"C"+x+".xy, xTexelR"+y+"C"+(x+2)+".xy);\n ",x+1<f&&(m+="\n xR"+y+"C"+(x+1)+" = vec4(\n xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n ")),m+="}");x<f&&(m+="\n vec4 wTexelR"+y+"C"+x+" = getW("+y+", "+x+", d1, q);\n wR"+y+"C"+x+" = vec4(wTexelR"+y+"C"+x+".xz, wTexelR"+y+"C"+x+".xz);\n ",x+1<f&&(m+="\n vec4 wTexelR"+y+"C"+(x+1)+" = getW("+y+", "+(x+1)+", d1, q);\n wR"+y+"C"+(x+1)+" =\n vec4(wTexelR"+y+"C"+(x+1)+".xz, wTexelR"+y+"C"+(x+1)+".xz);"))}for(var k=0;k<h;k++)for(var N=0;N<f;N++)m+="dotProd += xR"+k+"C"+N+" * wR"+k+"C"+N+";";var S="",I="";n&&(S=r?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n "+n+"\n }":"vec4 activation(vec4 x) {\n "+n+"\n }",I="result = activation(result);");var C=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n "+S+"\n\n const ivec2 strides = ivec2("+u+", "+l+");\n const ivec2 pads = ivec2("+o+", "+s+");\n\n void main() {\n\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2;\n int q = 0;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n vec4 dotProd = vec4(0.);\n\n "+m+"\n\n vec4 result = dotProd;\n "+C+"\n "+I+"\n setOutput(result);\n }\n "},EW=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 "},TW=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=t?"0.0":"getX("+AW(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 "+iW(r)+" coords = getOutputCoords();\n int end = "+DW(r,"coords")+";\n float val = "+a+";\n int pow2 = int(pow(2.0, index));\n if ("+o+") {\n int idx = "+s+";\n "+DW(r,"coords")+" = idx;\n val += getX("+AW(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 AW(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 DW(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 _W=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=jB.DENSE;var t=ZB(e),n=HP();this.outputShape=e,this.userCode="\n ivec3 outCoordsFromFlatIndex(int index) {\n "+qP(["r","c","d"],e)+"\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getA(rc.x, rc.y, rc.z);\n }\n\n "+n.output+" = result;\n }\n "},FW=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=jB.DENSE;var t=ZB(e),n=HP();this.outputShape=e,this.userCode="\n ivec3 outCoordsFromFlatIndex(int index) {\n "+qP(["r","c","d"],e)+"\n return ivec3(r, c, d);\n }\n\n void main() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n vec4 result = vec4(0.);\n\n for (int i=0; i<4; i++) {\n int flatIndex = index + i;\n ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n }\n\n "+n.output+" = result;\n }\n "},OW=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 = 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Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Mv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. 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"},rV=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 "},aV=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 "},iV=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 "},oV=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 "},sV=function(e,t,n,r,a,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;var s=n?e[1]:e[2],u=Math.ceil(s/2),l=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",d="";i&&(f=o?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n "+i+"\n }":"vec4 activation(vec4 x) {\n "+i+"\n }",d="result = activation(result);");var m=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n "+f+"\n\n const float sharedDimension = "+u+".0;\n\n vec4 dot2x2ARowBCol(ivec3 rc) {\n vec4 result = vec4(0);\n for (int i = 0; i < "+u+"; i++) {\n vec4 a = getMatrixA(rc.x, "+l+");\n vec4 b = getMatrixB(rc.x, "+c+");\n\n // These swizzled products need to be separately added.\n // See: https://github.com/tensorflow/tfjs/issues/1735\n result += ("+p[0]+" * "+h[0]+");\n result += ("+p[1]+" * "+h[1]+");\n }\n return result;\n }\n\n void main() {\n ivec3 rc = getOutputCoords();\n vec4 result = dot2x2ARowBCol(rc);\n\n "+m+"\n\n "+d+"\n\n setOutput(result);\n }\n "},uV=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}(),lV=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 "},cV=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=jP("rc",t),r=iW(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 >= "+t+";\n bool rEdge = rp1 >= "+n+";\n "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<e;o++)i=t[t.length-1-o]+","+i;n.push(i)}return n}(n,t);if(1===n)return"getA(rc),\n rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n 0, 0";return"getA("+r[0]+"),\n cEdge ? 0. : getA("+r[1]+"),\n rEdge ? 0. : getA("+r[2]+"),\n rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n void main() {\n "+r+" rc = getOutputCoords();\n\n if("+a+") {\n setOutput(vec4(0));\n } else {\n "+i+"\n\n setOutput(vec4("+o+"));\n }\n }\n "}};var pV=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=iW(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n "+a+" start = "+a+"("+i+");\n "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(float("+n+"));\n } else {\n "+a+" coords = outC - start;\n setOutput(getX("+s+"));\n }\n }\n ":"\n int start = "+i+";\n int end = "+o+";\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(float("+n+"));\n } else {\n setOutput(getX(outC - start));\n }\n }\n "},hV=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]}));for(var r=e.length,a=iW(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=jP("rc",r),u=jP("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" rc = outputLoc;",s[r-1]+" += 1;\n if("+l+") {\n ",1===r?"":"}\n rc = outputLoc;\n "+s[r-2]+" += 1;\n if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":" "+s[r-1]+" += 1;\n if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n "+p[d]+"\n if ("+h+") {\n result["+d+"] = float("+n+");\n } else {\n "+a+" source = rc - start;\n result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n }\n ";f+=1===r?"} ":"}}",this.userCode="\n const "+a+" start = "+a+"("+i+");\n const "+a+" end = "+a+"("+o+");\n\n void main() {\n "+a+" outputLoc = getOutputCoords();\n vec4 result = vec4(0.);\n "+f+"\n setOutput(result);\n }\n "},fV=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 "}},dV=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 "}},mV=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 }\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 "},vV=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n "+a+"\n "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result["+r+"] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n "+(r>0?"}":"")+"\n "}this.userCode="\n "+("\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n "+qP(["r","c","d"],t)+"\n return ivec3(r, c, d);\n }\n \n ")+KP(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 gV=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,v=2*Math.ceil(d)+2;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float("+p+");\n const float widthScale = float("+h+");\n\n const float invHeightScale = float("+f+");\n const float invWidthScale = float("+d+");\n\n const int winHeight = int("+m+");\n const int winWidth = int("+v+");\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= "+s+") {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= "+u+") {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n "},yV=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+u[0]/l[0]+",\n "+u[1]/l[1]+");\n const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the four integer indices.\n ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n ivec2 sourceCeilRC = ivec2(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n float top = topLeft + (topRight - topLeft) * fracRC.y;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n float newValue = top + (bottom - top) * fracRC.x;\n\n setOutput(newValue);\n }\n "},bV=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n "+u[0]/l[0]+",\n "+u[1]/l[1]+",\n "+u[1]/l[1]+");\n const vec3 inputShapeRC = vec3("+i+".0, "+o+".0,\n "+o+".0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d < "+(s-1)+";\n bool hasNextRow = coords.z < "+(n-1)+";\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n "},xV=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,v=2*Math.ceil(d)+2;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float("+p+");\n const float widthScale = float("+h+");\n\n const float invHeightScale = float("+f+");\n const float invWidthScale = float("+d+");\n\n const int winHeight = int("+m+");\n const int winWidth = int("+v+");\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= "+s+") {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= "+u+") {\n continue;\n }\n\n float sourceFracRow =\n float("+l[0]+") *\n (float(dyR) / float("+c[0]+"));\n\n float sourceFracCol =\n float("+l[1]+") *\n (float(dyC) / float("+c[1]+"));\n\n int sourceNearestRow = int(min(\n float(int("+a+") - 1),\n "+n+" ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int("+i+") - 1),\n "+n+" ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n "},wV=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+u[0]/l[0]+",\n "+u[1]/l[1]+");\n const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n "},kV=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=iW(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 "},NV=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=jP("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=iW(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 "},SV=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=iW(a.length),u=iW(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 "},IV=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 "},CV=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=iW(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 "},RV=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t,n=iW(this.rank),r="uniform int start["+this.rank+"];",a=function(e){if(1===e)return"sourceLoc";if(e<=6)return EV.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."+EV[t]+" = start["+t+"] + coords."+EV[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}(),EV=["x","y","z","w","u","v"];var TV=function(){function e(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;var t=iW(this.rank),n=jP("coords",this.rank),r=jP("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}(),AV=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=iW(n.length),i=iW(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 "},DV=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=FV(t,n),a=OV(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=_V(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===qB.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===qB.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===qB.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===qB.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===qB.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=FV(n,r),i=OV(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=_V(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=lv().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 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hW("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.select=function(e,t,n){var r=new CV(e.rank,t.shape,t.rank);return this.compileAndRun(r,[e,t,n],Mg(t.dtype,n.dtype))},n.where=function(e){pC("tf.where() in webgl locks the UI thread. 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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",e.shape,t.shape):new hW("\n if (isnan(a)) return a;\n if (isnan(b)) return b;\n\n return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(a,[e,t])},n.all=function(e,t){Rx("all",t,e.rank);var n=Ix(e.shape,t),r=n[0],a=Ov(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},n.any=function(e,t){Rx("any",t,e.rank);var n=Ix(e.shape,t),r=n[0],a=Ov(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},n.floorDiv=function(e,t){if(lv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n ivec4 ia = round(a);\n ivec4 ib = round(b);\n bvec4 cond = notEqual(ib, ivec4(0));\n ivec4 result = ivec4(0);\n vec4 s = sign(a) * sign(b);\n\n // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n if (cond[0]) {\n result[0] = idiv(ia[0], ib[0], s[0]);\n }\n if (cond[1]) {\n result[1] = idiv(ia[1], ib[1], s[1]);\n }\n if (cond[2]) {\n result[2] = idiv(ia[2], ib[2], s[2]);\n }\n if (cond[3]) {\n result[3] = idiv(ia[3], ib[3], s[3]);\n }\n return vec4(result);\n","int32");var n=new hW("\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",e.shape,t.shape);return this.compileAndRun(n,[e,t],"int32")},n.packedUnaryOp=function(e,t,n){var r=new ZV(e.shape,t);return this.compileAndRun(r,[e],n)},n.packedBinaryOp=function(e,t,n,r,a){void 0===a&&(a=!1);var i=new dW(n,e.shape,t.shape,a);return this.compileAndRun(i,[e,t],r)},n.makeComplexComponentTensorInfo=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},n.addN=function(e){if(1===e.length)return e[0];if(e.length>lv().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var t=Math.floor(e.length/2),n=this.addN(e.slice(0,t)),r=this.addN(e.slice(t));return this.addN([n,r])}var a=e.map((function(e){return e.dtype})).reduce((function(e,t){return Mg(e,t)})),i=e.map((function(e){return e.shape})),o=lv().getBool("WEBGL_PACK")?new VP(e[0].shape,i):new WP(e[0].shape,i);return this.compileAndRun(o,e,a)},n.pow=function(e,t){var n=lv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new dW("\n // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n vec4 result = multiplier * pow(abs(a), b);\n\n // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n bvec4 isExpZero = equal(b, vec4(0.0));\n result.r = isExpZero.r ? 1.0 : result.r;\n result.g = isExpZero.g ? 1.0 : result.g;\n result.b = isExpZero.b ? 1.0 : result.b;\n result.a = isExpZero.a ? 1.0 : result.a;\n\n vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n \n result.r = isNaN.r > 0. ? NAN : result.r;\n result.g = isNaN.g > 0. ? NAN : result.g;\n result.b = isNaN.b > 0. ? NAN : result.b;\n result.a = isNaN.a > 0. ? NAN : result.a;\n\n return result;\n",e.shape,t.shape):new hW("\nif(a < 0.0 && floor(b) < b){\n return NAN;\n}\nif (b == 0.0) {\n return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=Mg(e.dtype,t.dtype);return this.compileAndRun(n,[e,t],r)},n.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var t=EP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,GV,e.dtype);var n=new LV(e.shape,GV);return this.compileAndRun(n,[e])},n.floor=function(e){if(this.shouldExecuteOnCPU([e])){var t=DP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,jV,e.dtype);var n=new LV(e.shape,jV);return this.compileAndRun(n,[e])},n.sign=function(e){var t=new LV(e.shape,"\n if (isnan(x)) { return 0.0; }\n return sign(x);\n");return this.compileAndRun(t,[e])},n.isNaN=function(e){var t=new LV(e.shape,"return float(isnan(x));");return this.compileAndRun(t,[e],"bool")},n.isInf=function(e){var t=new LV(e.shape,"return float(isinf(x));");return this.compileAndRun(t,[e],"bool")},n.isFinite=function(e){var t=new LV(e.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(t,[e],"bool")},n.round=function(e){var t=new LV(e.shape,"\n // OpenGL ES does not support round function.\n // The algorithm is based on banker's rounding.\n float base = floor(x);\n if ((x - base) < 0.5) {\n return floor(x);\n } else if ((x - base) > 0.5) {\n return ceil(x);\n } else {\n if (mod(base, 2.0) == 0.0) {\n return base;\n } else {\n return base + 1.0;\n }\n }\n");return this.compileAndRun(t,[e])},n.exp=function(e){if(this.shouldExecuteOnCPU([e])){var t=TP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,HV,e.dtype);var n=new LV(e.shape,HV);return this.compileAndRun(n,[e])},n.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var t=AP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,qV,e.dtype);var n=new LV(e.shape,qV);return this.compileAndRun(n,[e])},n.softmax=function(e,t){var n=Vv([t],e.shape),r=Nk(e,n),a=Cx(r.shape,n),i=Sk(e,r.reshape(a)),o=this.exp(i),s=this.sum(o,n).reshape(a);return gx(o,s)},n.log=function(e){if(this.shouldExecuteOnCPU([e])){var t=_P(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,"\n vec4 result = log(x);\n vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n result.r = isNaN.r == 1.0 ? NAN : result.r;\n result.g = isNaN.g == 1.0 ? NAN : result.g;\n result.b = isNaN.b == 1.0 ? NAN : result.b;\n result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n return result;\n",e.dtype);var n=new LV(e.shape,"if (x < 0.0) return NAN;\n return log(x);");return this.compileAndRun(n,[e])},n.log1p=function(e){var t=new LV(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},n.sqrt=function(e){var t=new LV(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},n.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var t=MP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}var n=new LV(e.shape,"return inversesqrt(x);");return this.compileAndRun(n,[e])},n.reciprocal=function(e){var t=new LV(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},n.relu=function(e){var t;return t=lv().getBool("WEBGL_PACK")?new ZV(e.shape,XV):new LV(e.shape,PV),this.compileAndRun(t,[e])},n.relu6=function(e){var t;return t=lv().getBool("WEBGL_PACK")?new ZV(e.shape,YV):new LV(e.shape,WV),this.compileAndRun(t,[e])},n.prelu=function(e,t){var n=lv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new dW(fW,e.shape,t.shape):new hW(pW,e.shape,t.shape);return this.compileAndRun(n,[e,t])},n.elu=function(e){if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,JV,e.dtype);var t=new LV(e.shape,VV);return this.compileAndRun(t,[e])},n.eluDer=function(e,t){var n=lv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new dW("\n vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",e.shape,t.shape):new hW("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},n.selu=function(e){var t=new LV(e.shape,"\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = 1.7580993408473768;\n float scale = 1.0507009873554805;\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},n.clip=function(e,t,n){var r,a=(r=lv().getBool("WEBGL_PACK_CLIP")?new vW(e.shape):new mW(e.shape)).getCustomSetupFunc(t,n);return this.compileAndRun(r,[e],null,a)},n.abs=function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=CP(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(lv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,BV,e.dtype);var n=new LV(e.shape,BV);return this.compileAndRun(n,[e])},n.complexAbs=function(e){var t=this.texData.get(e.dataId),n=new gW(e.shape),r=[this.makeComplexComponentTensorInfo(e,t.complexTensorInfos.real),this.makeComplexComponentTensorInfo(e,t.complexTensorInfos.imag)];return this.compileAndRun(n,r)},n.sigmoid=function(e){var t=new LV(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},n.softplus=function(e){var t=new LV(e.shape,"\n float epsilon = 1.1920928955078125e-7;\n float threshold = log(epsilon) + 2.0;\n\n bool too_large = x > -threshold;\n bool too_small = x < threshold;\n\n float result;\n float exp_x = 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g=this.makeTensorInfo([d,f],r);this.texData.get(g.dataId).usage=m?HB.PIXELS:HB.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+=cg()-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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t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),s=sU({inputs:{x:r},backend:n});n.texData.get(s.dataId).complexParentRefCount++;var u=sU({inputs:{x:a},backend:n});return n.texData.get(u.dataId).complexParentRefCount++,o.complexTensorInfos={real:s,imag:u},i}var cU={kernelName:"Complex",backendName:"webgl",kernelFunc:lU};function pU(e){return function(t){var n=t.inputs,r=t.backend,a=n.x,i=r,o=new LV(a.shape,e);return i.runWebGLProgram(o,[a],a.dtype)}}function hU(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 hW(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],Mg(n.dtype,r.dtype))})),m=d[0],v=d[1],g=lU({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||Mg(l.dtype,c.dtype);if(p.shouldExecuteOnCPU([l,c])&&null!=s){var x=p.texData.get(l.dataId),w=p.texData.get(c.dataId),k=s(l.shape,c.shape,x.values,w.values,b),N=k[0],S=k[1],I=p.makeTensorInfo(S,b);return p.texData.get(I.dataId).values=N,I}return y=lv().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new dW(n,l.shape,c.shape,a):new hW(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}var fU="return a + b;",dU=hU({opSnippet:fU,packedOpSnippet:fU,supportsComplex:!0,cpuKernelImpl:RP}),mU={kernelName:hv,backendName:"webgl",kernelFunc:dU},vU={kernelName:"Atan2",backendName:"webgl",kernelFunc:hU({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"})};var gU={kernelName:"AvgPool",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;SP(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Av(Zx(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. 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mean) * inv + offset);\n }\n "},wU={kernelName:"FusedBatchNorm",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;Av(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Av(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Av(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=lv().getBool("WEBGL_PACK_NORMALIZATION")?new xU(a.shape,i.shape,o.shape,p,h,l):new bU(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(f,c,c[0].dtype)}},kU=hU({opSnippet:"return float(a != b);",dtype:"bool"}),NU={kernelName:"NotEqual",backendName:"webgl",kernelFunc:kU};function SU(e){var t=e.inputs,n=e.backend,r=t.input;return sU({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var IU={kernelName:"Real",backendName:"webgl",kernelFunc:SU};var CU={kernelName:"Cast",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 sU({inputs:{x:i},backend:r});var s=Mk(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),l=lU({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),l}if("complex64"===i.dtype){var c=SU({inputs:{input:i},backend:r}),p=e({inputs:{x:c},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(c),p}if(!Kv(i.dtype,o)){var h=sU({inputs:{x:i},backend:r});return{dataId:h.dataId,shape:h.shape,dtype:o}}if("int32"===o)return function(e,t){var n=new LV(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"),d=kU({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)}},RU=function(e){this.outputShape=[],this.outputShape=nw(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 "},EU=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=nw(e,t);var n=this.outputShape,r=n.length,a=iW(r),i=jP("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+"("+TU(o,l,d)+"),\n vec2("+TU(c,l,d)+"));\n }"}var m=s.length,v=s[s.length-1];h+="\n return getChannel(\n getT"+m+"("+TU(o,l,v)+"),\n vec2("+TU(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 TU(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function AU(e){var t=e.inputs,n=e.backend,r=t.input;return sU({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var DU={kernelName:"Imag",backendName:"webgl",kernelFunc:AU};function _U(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=Ov(a.shape),u=Wv(i,s),l=Ov(u);Av(s===l,(function(){return"The new shape ("+u+") has "+l+" elements and the old shape ("+a.shape+") has "+s+" elements. The new shape and old shape must have the same number of elements."}));var c=o.texData.get(a.dataId);return!c.isPacked||bP(a.shape,u)||null!==c.texture&&bP(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[mP(e.shape)].concat(vP(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[mP(t)].concat(vP(t)),o=new vV(i,r),s=n.runWebGLProgram(o,[a],e.dtype,null,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}(a,u,o)}var FU={kernelName:"Reshape",backendName:"webgl",kernelFunc:_U};var OU={kernelName:"Concat",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=Vv(e.attrs.axis,t[0].shape)[0],a=nw(t.map((function(e){return e.shape})),r);if(0===Ov(a))return n.makeTensorInfo(a,t[0].dtype);var i=t.filter((function(e){return Ov(e.shape)>0}));return 1===i.length?i[0]:(tw(i.map((function(e){return e.shape})),r),function e(t,n,r){var a=t[0].dtype;if("complex64"===a){var i=t.map((function(e){return SU({inputs:{input:e},backend:r})})),o=t.map((function(e){return AU({inputs:{input:e},backend:r})})),s=e(i,n,r),u=e(o,n,r),l=lU({inputs:{real:s,imag:u},backend:r});return i.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),o.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}if(t.length>lv().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var c=Math.floor(t.length/2),p=e(t.slice(0,c),n,r),h=e(t.slice(c),n,r),f=e([p,h],n,r);return r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(h),f}if(lv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].shape.length>1){var d=new EU(t.map((function(e){return e.shape})),n);return r.runWebGLProgram(d,t,a)}var m=nw(t.map((function(e){return e.shape})),n),v=t.map((function(e){return _U({inputs:{x:e},attrs:{shape:[-1,Ov(e.shape.slice(n))]},backend:r})})),g=new RU(v.map((function(e){return e.shape}))),y=r.runWebGLProgram(g,v,a);v.forEach((function(e){return r.disposeIntermediateTensorInfo(e)}));var b=_U({inputs:{x:y},attrs:{shape:m},backend:r});return r.disposeIntermediateTensorInfo(y),b}(i,r,n))}},MU=pU("if (isnan(x)) return x;\n return cos(x);\n"),LU={kernelName:fv,backendName:"webgl",kernelFunc:MU},zU=hU({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}),BU={kernelName:dv,backendName:"webgl",kernelFunc:zU},PU=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 WU(e,t,n){var r=n.texData.get(e.dataId),a=Ov(e.shape),i=e.shape[e.shape.length-1],o=_U({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}).shape,s=new PU("real",o,t),u=new PU("imag",o,t),l=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:o},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:o}],c=n.runWebGLProgram(s,l,"float32"),p=n.runWebGLProgram(u,l,"float32"),h=lU({inputs:{real:c,imag:p},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p);var f=_U({inputs:{x:h},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(f),f}var VU,UU={kernelName:"FFT",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return WU(t.input,!1,n)}},GU=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 "},jU={kernelName:"FlipLeftRight",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new GU(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},HU=function(e){this.variableNames=["A"];var t=HP(),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 "},qU=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=HP(),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 "},KU={kernelName:"FromPixels",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==VU&&(VU=document.createElement("canvas").getContext("2d")),VU.canvas.width=l,VU.canvas.height=c,VU.drawImage(a,0,0,l,c),a=VU.canvas);var f=n.makeTensorInfo(p,"int32");n.texData.get(f.dataId).usage=HB.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);var d=lv().getBool("WEBGL_PACK")?new qU(h):new HU(h),m=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),m}};var XU={kernelName:"IFFT",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return WU(t.input,!0,n)}},YU=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o=4*Math.floor(n/4),s=n%4,u="sumValue += dot(values, ones);";if(null!=t){var l=1/t;u="sumValue += dot(values * "+(Lv(l)?l.toPrecision(2):l)+", ones);"}var c="";a%n>0&&(c="\n if (inIdx < 0 || inIdx >= "+a+") {\n return 0.0;\n }\n "),this.userCode="\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n "+c+"\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * "+n+";\n\n float sumValue = 0.0;\n\n for (int i = 0; i < "+o+"; i += 4) {\n int inIdx = inOffset + i;\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n "+u+"\n }\n\n int inIdx = inOffset + "+o+";\n if ("+(1===s)+") {\n vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n "+u+"\n } else if ("+(2===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1), 0.0, 0.0);\n\n "+u+"\n } else if ("+(3===s)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2), 0.0);\n\n "+u+"\n }\n setOutput(sumValue);\n }\n "};function JU(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=Qw(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 YU({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new YU({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new mV({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 ZU=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=iW(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 QU=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=iW(this.rank),i=GP("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 $U(e,t,n){var r=lv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new QU(e.shape,t):new ZU(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}var eG={kernelName:"Max",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.reductionIndices,o=n.keepDims,s=r,u=a.shape.length,l=Vv(i,a.shape),c=l,p=Ex(c,u),h=null!=p,f=s.shouldExecuteOnCPU([a]),d=a;if(h){if(f){for(var m=s.texData.get(d.dataId).values,v=new Array(u),g=0;g<v.length;g++)v[g]=a.shape[p[g]];var y=BP(m,a.shape,a.dtype,p,v);d=s.makeTensorInfo(v,a.dtype),s.texData.get(d.dataId).values=y}else d=$U(a,p,s);c=Ax(c.length,u)}Rx("max",c,u);var b,x=Ix(d.shape,c),w=x[0],k=x[1],N=w;if(o&&(N=Cx(w,l)),f){var S=s.texData.get(d.dataId).values,I=FP(S,Ov(k),N,a.dtype);b=s.makeTensorInfo(N,a.dtype),s.texData.get(b.dataId).values=I}else b=function(e,t,n,r){var a=Ov(t),i=_U({inputs:{x:e},attrs:{shape:[Ov(e.shape)/a,a]},backend:r}),o=JU(i,e.dtype,"max",r),s=_U({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(d,k,N,s);return h&&s.disposeIntermediateTensorInfo(d),b}};var tG={kernelName:"MaxPool",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;SP(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Av(Zx(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=Vx(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Mv(l.inShape,l.outShape))return sU({inputs:{x:a},backend:n});var c=new fV(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var nG={kernelName:"MaxPoolBackprop",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;SP([i,t.output],"maxPoolBackprop");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=Vx(o.shape,s,u,1,l,c),h=new fV(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),d=new iV(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var rG={kernelName:"MaxPoolWithArgmax",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;Av(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Av(Zx(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p=Vx(a.shape,i,o,c,s),h=function(e,t,n,r){var a=new fV(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new fV(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,p,l);return[h[0],h[1]]}};var aG={kernelName:"Mean",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.keepDims,o=n.axis,s=r,u=a.shape.length,l=Vv(o,a.shape),c=l,p=Ex(c,u),h=null!=p,f=s.shouldExecuteOnCPU([a]),d=[],m=a;if(h){if(f){for(var v=s.texData.get(m.dataId).values,g=new Array(u),y=0;y<g.length;y++)g[y]=a.shape[p[y]];var b=BP(v,a.shape,a.dtype,p,g);m=s.makeTensorInfo(g,a.dtype),s.texData.get(m.dataId).values=b}else m=$U(a,p,s);d.push(m),c=Ax(c.length,u)}Rx("sum",c,u);var x=Ix(m.shape,c),w=x[0],k=x[1],N=w;i&&(N=Cx(w,l));for(var S=function(e,t,n,r){var a=Ov(t),i=_U({inputs:{x:e},attrs:{shape:[Ov(e.shape)/a,a]},backend:r}),o=JU(i,"float32","mean",r),s=_U({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(m,k,N,s),I=0,C=d;I<C.length;I++){var R=C[I];s.disposeIntermediateTensorInfo(R)}return S}},iG=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=iW(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; 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Call tf.nonMaxSuppressionAsync() instead");var a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma,c=n,p=c.readSync(a.dataId),h=c.readSync(i.dataId),f=vG(p,h,o,s,u,l);return[f.selectedIndices,f.selectedScores]}},yG=function(e,t,n,r){this.variableNames=["Image"],this.outputShape=[];var a=e[1],i=e[2],o=Math.sin(t).toFixed(3),s=Math.cos(t).toFixed(3);this.outputShape=e;var u=aC(r,a,i),l=u[0],c=u[1],p=l.toFixed(3),h=c.toFixed(3),f="";f="number"==typeof n?"float outputValue = "+n.toFixed(2)+";":"\n vec3 fill = vec3("+n.join(",")+");\n float outputValue = fill[coords[3]];",this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int x = coords[2];\n int y = coords[1];\n float coordXFloat = (float(x) - "+p+") * "+s+" - (float(y) - "+h+") * "+o+";\n float coordYFloat = (float(x) - "+p+") * "+o+" + (float(y) - "+h+") * "+s+";\n int coordX = int(round(coordXFloat + "+p+"));\n int coordY = int(round(coordYFloat + "+h+"));\n "+f+"\n if(coordX >= 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