// @tensorflow/tfjs Copyright 2019 Google
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implemented")},t.prototype.min=function(t,e){throw new Error("Not yet implemented")},t.prototype.minimum=function(t,e){throw new Error("Not yet implemented")},t.prototype.mod=function(t,e){throw new Error("Not yet implemented")},t.prototype.max=function(t,e){throw new Error("Not yet implemented")},t.prototype.maximum=function(t,e){throw new Error("Not yet implemented")},t.prototype.all=function(t,e){throw new Error("Not yet implemented")},t.prototype.any=function(t,e){throw new Error("Not yet implemented")},t.prototype.squaredDifference=function(t,e){throw new Error("Not yet implemented")},t.prototype.ceil=function(t){throw new Error("Not yet implemented")},t.prototype.floor=function(t){throw new Error("Not yet implemented")},t.prototype.round=function(t){throw new Error("Not yet implemented")},t.prototype.sign=function(t){throw new Error("Not yet implemented")},t.prototype.pow=function(t,e){throw new Error("Not yet implemented")},t.prototype.exp=function(t){throw new Error("Not yet implemented")},t.prototype.expm1=function(t){throw new Error("Not yet implemented")},t.prototype.log=function(t){throw new Error("Not yet implemented")},t.prototype.log1p=function(t){throw new Error("Not yet implemented")},t.prototype.sqrt=function(t){throw new Error("Not yet implemented")},t.prototype.rsqrt=function(t){throw new Error("Not yet implemented")},t.prototype.square=function(t){throw new Error("Not yet implemented")},t.prototype.reciprocal=function(t){throw new Error("Not yet implemented")},t.prototype.relu=function(t){throw new Error("Not yet implemented")},t.prototype.prelu=function(t,e){throw new Error("Not yet implemented")},t.prototype.elu=function(t){throw new Error("Not yet implemented")},t.prototype.eluDer=function(t,e){throw new Error("Not yet implemented")},t.prototype.selu=function(t){throw new Error("Not yet implemented")},t.prototype.int=function(t){throw new Error("Not yet implemented")},t.prototype.clip=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.abs=function(t){throw new Error("Not yet implemented")},t.prototype.complexAbs=function(t){throw new Error("Not yet implemented")},t.prototype.sigmoid=function(t){throw new Error("Not yet implemented")},t.prototype.softplus=function(t){throw new Error("Not yet implemented")},t.prototype.sin=function(t){throw new Error("Not yet implemented")},t.prototype.cos=function(t){throw new Error("Not yet implemented")},t.prototype.tan=function(t){throw new Error("Not yet implemented")},t.prototype.asin=function(t){throw new Error("Not yet implemented")},t.prototype.acos=function(t){throw new Error("Not yet implemented")},t.prototype.atan=function(t){throw new Error("Not yet implemented")},t.prototype.atan2=function(t,e){throw new Error("Not yet implemented")},t.prototype.sinh=function(t){throw new Error("Not yet implemented")},t.prototype.cosh=function(t){throw new Error("Not yet implemented")},t.prototype.tanh=function(t){throw new Error("Not yet implemented")},t.prototype.asinh=function(t){throw new Error("Not yet implemented")},t.prototype.acosh=function(t){throw new Error("Not yet implemented")},t.prototype.atanh=function(t){throw new Error("Not yet implemented")},t.prototype.erf=function(t){throw new Error("Not yet implemented")},t.prototype.step=function(t,e){throw new Error("Not yet implemented")},t.prototype.conv2d=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv2dDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv2dDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2D=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2DDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3d=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3dDerInput=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.conv3dDerFilter=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.maxPool=function(t,e){throw new Error("Not yet implemented")},t.prototype.maxPoolBackprop=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.avgPool=function(t,e){throw new Error("Not yet implemented")},t.prototype.avgPoolBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.reshape=function(t,e){throw new Error("Not yet implemented")},t.prototype.cast=function(t,e){throw new Error("Not yet implemented")},t.prototype.tile=function(t,e){throw new Error("Not yet implemented")},t.prototype.pad=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.transpose=function(t,e){throw new Error("Not yet implemented")},t.prototype.gather=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.gatherND=function(t,e){throw new Error("Not yet implemented")},t.prototype.scatterND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.batchToSpaceND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.spaceToBatchND=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.resizeBilinear=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.resizeBilinearBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.resizeNearestNeighbor=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.batchNormalization=function(t,e,n,r,i,o){throw new Error("Not yet implemented")},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){throw new Error("Not yet implemented")},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){throw new Error("Not yet implemented")},t.prototype.multinomial=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.oneHot=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.cumsum=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){throw new Error("Not yet implemented")},t.prototype.fft=function(t){throw new Error("Not yet implemented")},t.prototype.ifft=function(t){throw new Error("Not yet implemented")},t.prototype.complex=function(t,e){throw new Error("Not yet implemented")},t.prototype.real=function(t){throw new Error("Not yet implemented")},t.prototype.imag=function(t){throw new Error("Not yet implemented")},t.prototype.cropAndResize=function(t,e,n,r,i,o){throw new Error("Not yet implemented")},t.prototype.depthToSpace=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.split=function(t,e,n){throw new Error("Not yet implemented")},t.prototype.sparseToDense=function(t,e,n,r){throw new Error("Not yet implemented")},t.prototype.fill=function(t,e,n){throw new Error("Not yet implemented.")},t.prototype.onesLike=function(t){throw new Error("Not yet implemented")},t.prototype.zerosLike=function(t){throw new Error("Not yet implemented")},t.prototype.setDataMover=function(t){throw new Error("Not yet implemented")},t.prototype.dispose=function(){throw new Error("Not yet implemented")},t}();function He(t,e,n){if("complex64"===e){if("complex64"===t.dtype)return t.clone();var r=Pe(t.shape),i=t.toFloat(),o=n.complex(i,r);return r.dispose(),i.dispose(),o}if(!O(t.dtype,e))return ut.make(t.shape,{dataId:t.dataId},e);if("complex64"===t.dtype){var a=n.real(t);return o=a.cast(e),a.dispose(),o}if("int32"===e)return n.int(t);if("bool"===e){var s=Re(0,t.dtype);return o=n.notEqual(t,s),s.dispose(),o}throw new Error("Error in Cast: unknown dtype argument ("+e+")")}function Ke(t,e){return ut.make(e,{dataId:t.dataId},t.dtype)}function $e(t,e){if(t.length!==e.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+t.length+", imag: "+e.length+".");for(var n=new 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m=Math.max(o,l),g=Math.max(a,c),y=Math.min(s,p),v=Math.min(u,h),b=Math.max(y-m,0)*Math.max(v-g,0);return b/(f+d-b)}function tn(t,e,n){var r=new Array(t.rank).fill(0),i=t.shape.slice();return e.map(function(e){i[n]=e;var o=t.slice(r,i);return r[n]+=e,o})}function en(t,e,n,r,i){for(var o=e[e.length-1],a=[t.length/o,o],s=a[0],u=a[1],l=A(n,s*r),c=A("int32",s*r),p=0;p<s;p++){for(var h=p*u,f=t.subarray(h,h+u),d=[],m=0;m<f.length;m++)d.push({value:f[m],index:m});d.sort(function(t,e){return e.value-t.value});var g=p*r,y=l.subarray(g,g+r),v=c.subarray(g,g+r);for(m=0;m<r;m++)y[m]=d[m].value,v[m]=d[m].index}var b=e.slice();return b[b.length-1]=r,[Te(l,b,n),Te(c,b,"int32")]}var nn=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,i=t.batchSize,o=t.inSize,a=Math.ceil(o/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,a];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function rn(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function on(t,e){return 1===e?[t]:rn(t,e)}function an(t,e){for(var n=t.length,r=[],i=0;i<n;i++){var o=n-1-i,a=t[o]||1;(e[e.length-1-i]||1)>1&&1===a&&r.unshift(o)}return r}function sn(t,e){for(var n=[],r=0;r<e.length;r++){var i=t[t.length-r-1],o=e.length-r-1,a=e[o];(null==i||1===i&&a>1)&&n.unshift(o)}return n}function un(t,e){for(var n=[],r=Math.max(t.length,e.length),i=0;i<r;i++){var o=t[t.length-i-1];null==o&&(o=1);var a=e[e.length-i-1];if(null==a&&(a=1),1===o)n.unshift(a);else if(1===a)n.unshift(o);else{if(o!==a)throw Error("Operands could not be broadcast together with shapes "+t+" and "+e+".");n.unshift(o)}}return n}function ln(){var t,e,n,r,i,o,a,s;return 2===Bt.get("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",i="texture",o="outputColor",a="out vec4 outputColor;",s="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",i="texture2D",o="gl_FragColor",a="",s="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    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n,r=t.name,i=r.charAt(0).toUpperCase()+r.slice(1),o="get"+i+"AtOutCoords",a=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=an(t.shapeInfo.logicalShape,e.logicalShape),l=xn(s),c=s-a,p=["x","y","z","w","u","v"];n=0===a?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+c]+" = 0;"}).join("\n");var h="";h=s<2&&a>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+c]}).join(", ");var f="return outputValue;";if(1===a&&s>1)f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";else if(0===a&&s>0)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var d=a-2,m=a-1;u.indexOf(d)>-1&&u.indexOf(m)>-1?f="return vec4(outputValue.x);":u.indexOf(d)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(m)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}return"\n    vec4 "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+i+"("+h+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",o=e.texShape,a=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&b(a,o))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l=xn(u),c=an(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+i+"() {\n      "+l+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&c.length>=1?"coords = 0;":c.map(function(t){return"coords."+h[t+p]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+h[e+p]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),l=e.texShape,c=ln(),p=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(c),h=function(t){var e="";return e=Bt.get("PROD")?"\n      bool isNaN(float val) {\n        return false;\n      }\n\n      bool hasNaN(vec4 values) {\n        return false;\n      }\n    ":"\n      bool isNaN(float val) {\n        return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\n      }\n\n      bvec4 isNaN(vec4 val) {\n        return bvec4(\n          isNaN(val.x),\n          isNaN(val.y),\n          isNaN(val.z),\n          isNaN(val.w)\n        );\n      }\n\n      bool hasNaN(vec4 values) {\n        return any(bvec4(\n          isNaN(values.x),\n          isNaN(values.y),\n          isNaN(values.z),\n          isNaN(values.w)\n        ));\n      }\n    ",t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    "+e+"\n\n    float getNaN(vec4 values) {\n      return dot(vec4(1), values);\n    }\n\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+mn+"\n    "+gn+"\n    "+yn+"\n  "}(c);return e.isPacked?(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return resTexRC.x * "+n[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(b(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[2]/2),i=r*Math.ceil(t[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  "}(t,e);default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),i=r*Math.ceil(t[t.length-2]/2),o=i,a="",s="b, r, c",u=2;u<t.length-1;u++)a="\n      int b"+u+" = index / "+(o*=t[t.length-u-1])+";\n      index -= b"+u+" * "+o+";\n    "+a,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+a+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}}(e.logicalShape,l),a=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(c)):(o=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return b(t,e)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ":1===t[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===t[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return function(t,e){var n=cn(["r","c","d"],t);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec3(r, c, d);\n    }\n  "}(t,e);case 4:return function(t,e){var n=cn(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=cn(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=cn(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}}(e.logicalShape,l),a=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(c)),r&&(h+=vn),[h,p,a,s,o,u,n].join("\n")}function fn(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===i&&1===o)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=t.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+a[0]+", "+a[1]+", "+bn(e)+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+wn(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,i=r[0],o=r[1];if(1===o&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var a=bn(e);return 1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+a+") + 0.5) / "+i+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+a+") + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+o+", index + "+a+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape;if(null!=i&&b(e,i)){var o=i[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var a=k(e),s=a.newShape,u=a.keptDims,l=s;if(l.length<e.length)return"\n      "+fn(Nn(t,l))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+Sn(["row","col"],u)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=i[0],p=i[1],h=bn(n);return 1===p?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+c+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===c?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+h+";\n    vec2 uv = uvFromFlat("+c+", "+p+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[1]*e[2],o=e[2],a=k(e),s=a.newShape,u=a.keptDims,l=s;if(l.length<e.length)return"\n        "+fn(Nn(t,l))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+Sn(["row","col","depth"],u)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=t.shapeInfo.texShape,p=c[0],h=c[1],f=t.shapeInfo.flatOffset;return h===i&&null==f?"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":h===o&&null==f?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+o+" + depth + "+bn(n)+";\n        vec2 uv = uvFromFlat("+p+", "+h+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[3],o=e[2]*i,a=e[1]*o,s=k(e),u=s.newShape,l=s.keptDims;if(u.length<e.length)return"\n      "+fn(Nn(t,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+Sn(["row","col","depth","depth2"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+a+", "+o+", "+i+", 1)));\n        "+wn(t)+"\n      }\n    ";var c=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,h=p[0],f=p[1];return f===a&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":f===i&&null==c?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+f+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+a+" + col * "+o+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+h+", "+f+", index + "+bn(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e[4],o=e[3]*i,a=e[2]*o,s=e[1]*a,u=k(e),l=u.newShape,c=u.keptDims;if(l.length<e.length)return"\n      "+fn(Nn(t,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+Sn(["row","col","depth","depth2","depth3"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+a+", "+o+", "+i+")) +\n          depth3;\n        "+wn(t)+"\n      }\n    ";var p=t.shapeInfo.flatOffset,h=t.shapeInfo.texShape,f=h[0],d=h[1];return d===s&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+a+", "+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===i&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+a+" + depth * "+o+" +\n          depth2 * "+i+" + depth3 + "+bn(n)+";\n      vec2 uv = uvFromFlat("+f+", "+d+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=k(e),o=i.newShape,a=i.keptDims;if(o.length<e.length)return"\n      "+fn(Nn(t,o))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+Sn(["row","col","depth","depth2","depth3","depth4"],a)+");\n      }\n    ";var s=e[5],u=e[4]*s,l=e[3]*u,c=e[2]*l,p=e[1]*c;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+p+", "+c+", "+l+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+wn(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],m=f[1];return m===p&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+c+", "+l+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":m===s&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+p+" + col * "+c+" + depth * "+l+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+bn(n)+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function dn(t){switch(t.shapeInfo.logicalShape.length){case 0:return function(t){var e=t.name;return"\n    vec4 get"+e.charAt(0).toUpperCase()+e.slice(1)+"() {\n      return "+ln().texture2D+"("+e+", halfCR);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=ln();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+o.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,o=i[0],a=i[1],s=ln();if(null!=i&&b(e,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+a+".0, "+o+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(e[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===e[0])return"\n        "+dn(Nn(t,e.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+Sn(["b","row","col"],[1,2])+");\n        }\n      ";var a=o[0],s=o[1],u=Math.ceil(e[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+a+", "+s+", "+u*Math.ceil(e[1]/2)+", "+u+", b, row, col);\n      return "+ln().texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],s=a[0],u=a[1],l=Math.ceil(e[n-1]/2),c=l*Math.ceil(e[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,h="b"+f+" * "+(c*=e[n-f-1])+" + "+h;return"\n    vec4 "+i+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+ln().texture2D+"("+r+", uv);\n    }\n  "}(t)}}var mn="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",gn="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",yn="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",vn="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function bn(t){return"offset"+t}function wn(t){var e=t.name,n=v(t.shapeInfo.logicalShape);return 1===n?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function xn(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function Nn(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Sn(t,e){return e.map(function(e){return t[e]}).join(", ")}var Cn=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,d(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var i=t[t.length-1],o=Math.ceil(i/e);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),r||this.variableNames.push("bestIndicesA");var a,s,u=this.outputShape,l=u.length,c=xn(l),p=on("coords",l);if(1===o){var h=xn(s=l+1);a="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,a="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),m="."+f[s-1],g=f.map(function(t){return"int "+t}),y=on("sourceLocR",s-1).concat("inIdx.r"),v=on("sourceLocG",s-1).concat("inIdx.g"),b=on("sourceLocB",s-1).concat("inIdx.b"),w=on("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",N=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+b.join()+"),\n                             getBestIndicesAChannel("+w.join()+")));",S="vec4(\n            getAChannel("+y.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+b.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+w.join()+") : 0.)",C=r?"":"\n      float getBestIndicesAChannel("+g.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+g.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+C+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+a+"\n        ivec4 srcIdx = ivec4(sourceLocR"+m+", sourceLocG"+m+",\n          sourceLocB"+m+", sourceLocA"+m+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+S+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+N+"\n          vec4 candidate = "+S+";\n          bvec4 nan = isNaN(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},En=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=s-1-t.padInfo.top,c=u-1-t.padInfo.left,p=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+o+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+a+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},In=function(t,e,n,r,i,o){this.outputShape=[],this.variableNames=["x","mean","variance"],un(t,e),un(t,n);var a="0.0";null!=r&&(un(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="1.0";null!=i&&(un(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+a+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+o+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},kn=function(t,e,n,r,i,o){this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],un(t,e),un(t,n);var a="vec4(0.0)";null!=r&&(un(t,r),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(un(t,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+a+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+o+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},An="return areal * breal - aimag * bimag;",Tn="return areal * bimag + aimag * breal;",Rn=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=un(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Dn="return a + b;",On="return a - b;",_n="return a * b;",Mn=function(){function t(t,e,n){this.variableNames=["A","B"],this.outputShape=un(e,n),this.userCode="\n      uniform float NAN;\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),Ln=function(){function t(t,e,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.outputShape=un(e,n),this.userCode="\n      uniform float NAN;\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(){var t=this;return function(e,n){null==t.startLoc&&(t.startLoc=e.getUniformLocationNoThrow(n,"NAN"),null==t.startLoc)||e.gl.uniform1f(t.startLoc,NaN)}},t}(),Fn=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, min, max));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),zn=function(){function t(t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t,this.userCode="\n      uniform float min;\n      uniform float max;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (hasNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(min), vec4(max)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"min"),n.maxLoc=r.getUniformLocationNoThrow(i,"max")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Pn=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},Bn=function(t){this.outputShape=[],this.outputShape=ue(t,1),this.variableNames=t.map(function(t,e){return"T"+e});var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var i=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var o=e.length,a=e[e.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+a+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Un=function(t,e){this.usesPackedTextures=!0,this.outputShape=[],this.outputShape=ue(t,e);var n=this.outputShape,r=n.length,i=xn(r),o=on("coords",r),a=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var l=a[e],c="vec2("+a.slice(-2).join()+")",p=a.join(),h="if ("+l+" < "+s[0]+")\n          return getChannel(getT0("+p+"), "+c+");";for(u=1;u<s.length;u++){var f=s[u-1];h+="\n        else if ("+l+" < "+s[u]+") {\n          "+l+" -= "+f+";\n          return getChannel(getT"+u+"("+p+"), "+c+");\n        }"}var d=s.length;h+="\n        else {\n          "+l+" -= "+s[s.length-1]+";\n          return getChannel(getT"+d+"("+p+"), "+c+");\n        }",this.userCode="\n      float getValue("+a.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+o+"), 0., 0., 0.);\n        if (++"+o[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+o+");\n        }\n        if (++"+o[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+o+");\n        }\n        if ("+o[r-2]+" < "+n[r-2]+" &&\n            --"+o[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+o+");\n        }\n        setOutput(result);\n      }\n    "},Wn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Vn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},jn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,a=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+i+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+o+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+a+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},qn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,l=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+l+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+o+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+a+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Gn=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+o+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Hn=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,i=t.strideWidth,o=e-1-t.padInfo.top,a=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Kn=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.top,n=t.padInfo.left,r=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,a=t.dilationWidth,s=t.filterHeight,u=t.filterWidth,l=4*Math.floor(t.inChannels/4),c=t.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+i+");\n      const ivec2 pads = ivec2("+e+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+o+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+a+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},$n=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,a=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,l=t.dilationWidth,c=t.filterDepth,p=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+o+", "+a+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+c+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Xn=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+e+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Yn=function(t){this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,h=c,f="int xR; int xC; int xCOffset;",d=0;d<l;d++)for(var m=0;m<c;m++)f+="\n          vec4 xTexelR"+d+"C"+2*m+" = vec4(0.);\n          vec4 wR"+d+"C"+m+" = vec4(0.);\n          vec4 xR"+d+"C"+m+" = vec4(0.);";for(d=0;d<l;d++)for(var g=0;g<h;g++){if(f+="\n          xR = xRCorner + "+d*s+";\n          xC = xCCorner + "+(m=2*g)*u+";\n        ",1===a){if(m<c&&(f+=i%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+d+"C"+m+" = vec4(previous.zw, xTexelR"+d+"C"+m+".xy);\n                } else {\n                  xR"+d+"C"+m+" = vec4(0, 0, xTexelR"+d+"C"+m+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+e+" && xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = xTexelR"+d+"C"+m+";\n              ",m+1<c)){var y=i%2==0?p(u):u;u%2==0&&i%2==1||u%2!=0&&i%2!=1?(f+="\n                  xCOffset = xC + "+i%2+" + "+y+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",u>1&&(f+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+e+" &&\n                      xCOffset >= 0 && xCOffset < "+n+") {\n                      xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+d+"C"+m+" = vec4(0.);\n                    }\n                  "),f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".xy);\n                "):f+="\n                  xCOffset = xC + "+y+";\n\n                  if(xR >= 0 && xR < "+e+" &&\n                    xCOffset >= 0 && xCOffset < "+n+") {\n                    xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+d+"C"+(m+1)+" = xTexelR"+d+"C"+(m+2)+";\n                "}}else m<c&&(f+="\n              if(xR >= 0 && xR < "+e+") {\n            ",i%2==1?(f+="\n                xCOffset = xC + 1 - "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n              ",m+1<c&&(f+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+a+";\n                  if(xCOffset >= 0 && xCOffset < "+n+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+d+"C"+(m+1)+" = vec4(xTexelR"+d+"C"+(m+2)+".xy, final.xy);\n                ")):(f+="\n                if(xC >= 0 && xC < "+n+") {\n                  xTexelR"+d+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+d+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+a+";\n                if(xCOffset >= 0 && xCOffset < "+n+") {\n                  xTexelR"+d+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+d+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+d+"C"+m+" = vec4(\n                  xTexelR"+d+"C"+m+".xy, xTexelR"+d+"C"+(m+2)+".xy);\n              ",m+1<c&&(f+="\n                  xR"+d+"C"+(m+1)+" = vec4(\n                    xTexelR"+d+"C"+m+".zw, xTexelR"+d+"C"+(m+2)+".zw);\n                ")),f+="}");m<c&&(f+="\n            vec4 wTexelR"+d+"C"+m+" = getW("+d+", "+m+", d1, q);\n            wR"+d+"C"+m+" = vec4(wTexelR"+d+"C"+m+".xz, wTexelR"+d+"C"+m+".xz);\n          ",m+1<c&&(f+="\n              vec4 wTexelR"+d+"C"+(m+1)+" = getW("+d+", "+(m+1)+", d1, q);\n              wR"+d+"C"+(m+1)+" =\n                vec4(wTexelR"+d+"C"+(m+1)+".xz, wTexelR"+d+"C"+(m+1)+".xz);"))}for(d=0;d<l;d++)for(m=0;m<c;m++)f+="result += xR"+d+"C"+m+" * wR"+d+"C"+m+";";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+r+", "+i+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 result = vec4(0.);\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},Jn=function(t,e,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=t[0],a=t[1],s=t[2],u=t[3],l=e[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=[a-1+".0",s-1+".0"],d=f[0],m=f[1],g=c>1?[""+(a-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],N=w[1],S=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+o+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+N+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+S+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n          float newValue = top + (bottom - top) * fracRC.x;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n        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sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Qn(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var tr=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),er=function(t){this.variableNames=["A"];var e=ln();this.outputShape=t,this.userCode="\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},nr="return real * expR - imag * expI;",rr="return real * expI + imag * expR;",ir=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,o=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+o+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n      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ti=Object.freeze({callAndCheck:yr,enableDebugWebGLErrorChecking:br,checkWebGLError:wr,canBeRepresented:Sr,getWebGLErrorMessage:Cr,getExtensionOrThrow:Er,createVertexShader:Ir,createFragmentShader:kr,createProgram:Tr,linkProgram:Rr,validateProgram:Dr,createStaticVertexBuffer:Or,createStaticIndexBuffer:_r,getNumChannels:Mr,createTexture:Lr,validateTextureSize:Fr,createFramebuffer:zr,bindVertexBufferToProgramAttribute:Pr,bindTextureUnit:Br,unbindTextureUnit:function(t,e){$r(t,e),yr(t,function(){return t.activeTexture(t.TEXTURE0+e)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)})},getProgramUniformLocationOrThrow:Ur,getProgramUniformLocation:Wr,bindTextureToProgramUniformSampler:Vr,bindCanvasToFramebuffer:function(t){yr(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),yr(t,function(){return t.viewport(0,0,t.canvas.width,t.canvas.height)}),yr(t,function(){return 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2===Bt.get("WEBGL_VERSION")?(n=c.R32F,r=c.R16F,i=c.RGBA16F,o=c.RGBA32F,a=c.RED,s=4,u=1,l=c.HALF_FLOAT):(n=t.RGBA,r=t.RGBA,i=t.RGBA,o=c.RGBA,a=t.RGBA,s=4,u=4,l=null!=e?e.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:i,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:t.RGBA,downloadUnpackNumChannels:s,defaultNumChannels:u,textureTypeHalfFloat:l}}function oi(t,e,n,r,i,o){Fr(e,n);var a=Lr(t),s=t.TEXTURE_2D;return yr(t,function(){return t.bindTexture(s,a)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_MIN_FILTER,t.NEAREST)}),yr(t,function(){return t.texParameteri(s,t.TEXTURE_MAG_FILTER,t.NEAREST)}),yr(t,function(){return t.texImage2D(s,0,r,e,n,0,i,o,null)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)}),a}function ai(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],r.internalFormatFloat,r.textureFormatFloat,t.FLOAT)}function si(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],r.internalFormatHalfFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function ui(t,e,n,r){var i=pr(e,n);return oi(t,i[0],i[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function li(t,e,n,r){var i=dr(e,n);return oi(t,i[0],i[1],r.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function ci(t,e,n,r){var i=dr(e,n);return oi(t,i[0],i[1],r.internalFormatPackedHalfFloat,t.RGBA,r.textureTypeHalfFloat)}function pi(t,e,n){return yr(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,n)}),Pr(t,e,"clipSpacePos",n,3,20,0)&&Pr(t,e,"uv",n,2,20,12)}function hi(t,e,n){yr(t,function(){return t.bindTexture(t.TEXTURE_2D,e)}),yr(t,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,n)}),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function fi(t,e,n,r,i,o){Fr(n,r),yr(t,function(){return t.bindTexture(t.TEXTURE_2D,e)}),yr(t,function(){return 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Ni=Object.freeze({createVertexShader:ei,createVertexBuffer:ni,createIndexBuffer:ri,getTextureConfig:ii,createFloat32MatrixTexture:ai,createFloat16MatrixTexture:si,createUnsignedBytesMatrixTexture:ui,createPackedMatrixTexture:li,createFloat16PackedMatrixTexture:ci,bindVertexProgramAttributeStreams:pi,uploadPixelDataToTexture:hi,uploadMatrixToTexture:di,uploadMatrixToPackedTexture:mi,maybeCreateBufferFromOutputTexture:gi,downloadFloat32MatrixFromBuffer:yi,downloadFloat32MatrixFromOutputTexture:vi,downloadByteEncodedFloatMatrixFromOutputTexture:bi,downloadPackedMatrixFromBuffer:wi,downloadMatrixFromPackedOutputTexture:xi}),Si=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var 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this.throwIfDisposed(),ui(this.gl,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),hi(this.gl,t,e)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ci(this.gl,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),li(this.gl,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(qr(this.gl,this.framebuffer),this.outputTexture=null),yr(this.gl,function(){return e.gl.deleteTexture(t)})},t.prototype.uploadMatrixToTexture=function(t,e,n,r){this.throwIfDisposed();var i=Mr();return di(this.gl,t,e,n,r,i,this.textureConfig)},t.prototype.uploadMatrixToPackedTexture=function(t,e,n,r,i,o,a){return this.throwIfDisposed(),mi(this.gl,t,e,n,r,i,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return vi(r.gl,e,n,r.textureConfig)})},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return bi(r.gl,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,i,o){return wi(this.gl,t,e,n,r,i,o,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e,n){return yi(this.gl,t,e,n,this.textureConfig)},t.prototype.maybeCreateBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=gi(this.gl,t,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(Bt.get("WEBGL_FENCE_API_ENABLED")){var i=t,o=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=i.clientWaitSync(o,0,0);return t===i.ALREADY_SIGNALED||t===i.CONDITION_SATISFIED},e=o}else Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n,r,i,o){var a=this;return this.downloadMatrixDriver(t,function(){return xi(a.gl,e,n,r,i,o,a.textureConfig)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=kr(e,t),r=ei(e),i=Tr(e);return yr(e,function(){return e.attachShader(i,r)}),yr(e,function(){return e.attachShader(i,n)}),Rr(e,i),this.autoDebugValidate&&Dr(e,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=pi(e,this.program,this.vertexBuffer)),i},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&yr(this.gl,function(){return e.gl.deleteProgram(t)})},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.autoDebugValidate&&Dr(this.gl,this.program),yr(this.gl,function(){return e.gl.useProgram(t)})},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?Ur(this.gl,t,e):Wr(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),yr(this.gl,function(){return n.gl.getAttribLocation(t,e)})},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),Vr(this.gl,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=dr(e,n),i=r[0],o=r[1];this.setOutputMatrixTextureDriver(t,i,o)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&Dr(this.gl,this.program),Gr(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.autoDebugValidate&&this.debugValidate(),yr(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),yr(this.gl,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=Er(this.gl,2===Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},t.prototype.endQuery=function(){if(2!==Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return i(this,void 0,void 0,function(){var e=this;return o(this,function(n){switch(n.label){case 0:return[4,C(function(){return e.disposed||e.isQueryAvailable(t,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length&&t[e]();++e);return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||C(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),jr(this.gl,t,this.framebuffer),this.autoDebugValidate&&Gr(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(jr(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Gr(this.gl)):qr(this.gl,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;jr(r,t,this.framebuffer),this.autoDebugValidate&&Gr(r),this.outputTexture=t,yr(r,function(){return r.viewport(0,0,e,n)}),yr(r,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var i=this;this.throwIfDisposed(),yr(this.gl,function(){return i.gl.scissor(t,e,n,r)})},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function Ci(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach(function(t,n){var r=t.logicalShape,i=e[n],o=i.shape;if(!b(r,o))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+o+" must match");if(!t.isUniform||!i.isUniform){var a=t.texShape,s=i.isUniform?null:i.texData.texShape;if(!b(a,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+a+" and "+s+" must match")}})}var Ei=function(t,e,n){this.variableNames=["A"],this.outputShape=t;var r=n.filterWidth,i=n.inChannels,o=n.strideWidth,a=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=s.left,h=s.top,f=i*r,d=ln();this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            int blockIndex = rc.y + col;\n            int pos = rc.x + row;\n\n            if(blockIndex >= "+t[1]+" || pos >= "+t[0]+") continue;\n\n            int offsetY = int(blockIndex / ("+u+")) * "+a+" - "+h+";\n            int d0 = offsetY + "+c+" * (pos / "+f+");\n\n            if(d0 >= "+e[0]+" || d0 < 0) continue;\n\n            int offsetX = int(mod(float(blockIndex), "+u+".) * "+o+". - "+p+".);\n            int d1 = offsetX + "+l+" * (int(mod(float(pos), "+f+".) / "+i+".));\n\n            if(d1 >= "+e[1]+" || d1 < 0) continue;\n\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), "+i+".)));\n          }\n        }\n\n        "+d.output+" = result;\n      }\n    "},Ii=function(t,e,n,r,i){this.variableNames=["x"],this.outputShape=[];var o,a=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";o=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+a+"; j <= "+a+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+o+";\n        setOutput(val);\n      }\n    "},ki=function(t,e,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ai=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,a=i-1-t.padInfo.top,s=o-1-t.padInfo.left,u=i*o-1;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+o+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+o+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ti=function(t,e,n,r,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===o&&(o=null),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=e;var a=n?t[1]:t[2],s=Math.ceil(a/2),u=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",c=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",f="";o&&(h="vec4 activation(vec4 x) {\n        "+o+"\n      }",f="result = activation(result);");var d=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),this.userCode="\n      "+h+"\n\n      const float sharedDimension = "+s+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+s+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+u+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          result += ("+c[0]+" * "+p[0]+") + ("+c[1]+" * "+p[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+d+"\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},Ri=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),Di=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},Oi=function(t){this.variableNames=["A"],this.isPackShader=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=on("rc",e),r=xn(e),i=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",i=t-2;i<t;i++)r+=n[i]+" >= "+e[i],i<t-1&&(r+="||");return r}(e,t,n),o=function(t,e,n,r){if(1===t)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),a=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var o=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),a=2;a<t;a++)o=e[e.length-1-a]+","+o;n.push(o)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+o+"\n\n            setOutput(vec4("+a+"));\n          }\n        }\n      "}};var _i=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});var r=t.length,i=xn(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+o+");\n      "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+o+";\n        int end = "+a+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Mi=function(t,e,n){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,i=xn(r),o=e.map(function(t){return t[0]}).join(","),a=e.map(function(e,n){return e[0]+t[n]}).join(","),s=on("rc",r),u=on("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+o+");\n      const "+i+" end = "+i+"("+a+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},Li=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,i=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var h="avg"===e,f="0.0";if(h||(f="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+o+");\n        const ivec2 pads = ivec2("+c+", "+p+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,y="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float initializationValue = "+f+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+f+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+a+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+y+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+y+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Fi=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=Math.ceil(i/n);this.outputShape=[r,o];var a="0.0",s="";"prod"===e?a="1.0":"min"===e?(a="1.0 / 1e-20",s="min"):"max"===e&&(a="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",h="vec4";"all"===e?(a="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===e&&(a="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+a+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+a+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},zi=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      "+function(t){return"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+cn(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  "}(e)+"\n      "+function(t){return"\n    int getFlatIndex(ivec3 coords) {\n      return round("+function(t,e){if(t.length!==e.length)throw new Error("Vectors to be dotted must be of the same length -got "+t.length+" and "+e.length);for(var n=[],r=Math.floor(t.length/4),i=t.length%4,o=0;o<r;o++){var a=t.slice(4*o,4*o+4),s=e.slice(4*o,4*o+4);n.push(pn(a)+", "+pn(s))}return 0!==i&&(a=t.slice(4*r),s=e.slice(4*r),1===a.length&&(a=a.map(function(t){return"float("+t+")"}),s=s.map(function(t){return"float("+t+")"})),n.push(pn(a)+", "+pn(s))),n.map(function(t,e){return"dot("+t+")"}).join("+")}(["coords.x","coords.y","coords.z"],V(t).map(function(t){return t.toString()}).concat(["1."]))+");\n    }\n  "}(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var Pi=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],l=[n&&s>1?i-1:i,n&&u>1?o-1:o],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(o-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Bi=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},Ui=function(t,e,n,r){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],l=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+",\n          "+u[1]/l[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+a+".0,\n                                     "+a+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n        \n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+"; \n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Wi=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,i=r[1],o=r[2],a=t.shape,s=a[1],u=a[2],l=[n&&s>1?i-1:i,n&&u>1?o-1:o],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Vi=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var i=t[0],o=t[1],a=t[2],s=t[3];this.outputShape=[i,e,n,s];var u=[r&&e>1?o-1:o,r&&n>1?a-1:a],l=[r&&e>1?e-1:e,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+a+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},ji=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map(function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),i=xn(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},qi=function(t,e,n,r,i,o,a){void 0===a&&(a=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var s=xn(i.length),u=xn(o.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Gi=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,i=t.inSize,o=t.numSegments,a=o*Math.ceil(i/n);this.outputShape=[r,a];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";i%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var p="";i%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+o+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+o+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "},Hi=function(t,e,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],s=[],u=0;u<e.length;u++)s.push(""+o[u]),u<t&&a.push(""+o[u]);r=a.join(),i=s.join()}var l=xn(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},Ki=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=xn(this.rank),r="uniform int start["+this.rank+"];",i=function(t){if(1===t)return"sourceLoc";if(t<=6)return $i.slice(0,t).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map(function(t,e){return"sourceLoc."+$i[e]+" = start["+e+"] + coords."+$i[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+i+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),$i=["x","y","z","w","u","v"];var Xi=function(){function t(t){this.variableNames=["source"],this.usesPackedTextures=!0,this.outputShape=t,this.rank=t.length;var e=xn(this.rank),n=on("coords",this.rank),r=on("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",o="getChannel(getSource("+r.join()+"), "+i+")",a="\n      result.x = "+o+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+o+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+o+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+o+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map(function(t,e){return"start["+e+"]"}).join()+");":t.map(function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"}).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+" \n        vec4 result = vec4(0.);\n        "+a+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Yi=function(t,e,n,r){this.variableNames=["x"];var i=n.filter(function(t,e){return-1===r.indexOf(e)});this.outputShape=i;var o=n.length,a=xn(n.length),s=xn(i.length),u="";if(1===o)u="coords * strides + begin";else{var 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r.push(t)})];if(i=this.texData.get(t),a=i.texture,s=i.values,u=i.texShape,l=i.isPacked,c=i.shape,p=i.slice,h=i.dtype,null!=p)return f=new oo(c,"return x;"),d=this.compileAndRun(f,[{dataId:t,shape:c,dtype:h}]),m=this.read(d.dataId),d.dispose(),[2,m];if(null!=s)return[2,this.convertAndCacheOnCPU(t)];if(this.pendingRead.set(t,[]),!Bt.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===Bt.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return g=u[1],y=u[0],l&&(e=dr(u[0],u[1]),g=e[0],y=e[1]),b=this.gpgpu.maybeCreateBufferFromTexture(a,y,g),[4,this.gpgpu.createAndWaitForFence()];case 1:return o.sent(),b instanceof WebGLTexture?w=this.getValuesFromTexture(t):(x=v(c),l?(N=Xr(c),S=1,C=1,c.length&&(n=Yr(c),S=n[0],C=n[1]),w=this.gpgpu.downloadPackedMatrixFromBuffer(b,N,S,C,u[0],u[1]).subarray(0,x)):w=this.gpgpu.downloadFloat32MatrixFromBuffer(b,u[0],u[1]).subarray(0,x)),E=this.convertAndCacheOnCPU(t,w),I=this.pendingRead.get(t),this.pendingRead.delete(t),I.forEach(function(t){return t(E)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)),[2,E]}})})},t.prototype.getValuesFromTexture=function(t){var e,n=this,r=this.texData.get(t),i=r.shape,o=r.dtype,a=r.texture,s=r.texShape,u=v(i);if(Bt.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")){if(this.texData.get(t).isPacked){var l=Xr(i),c=1,p=1;return i.length&&(c=(e=Yr(i))[0],p=e[1]),this.gpgpu.downloadMatrixFromPackedTexture(a,l,c,p,s[0],s[1]).subarray(0,u)}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(a,s[0],s[1]).subarray(0,u)}var h=this.makeTensorHandle(i,"float32");h.size=v(i),this.texData.get(h.dataId).usage=ur.DOWNLOAD;var f=qt(function(){var e=new er(i);return n.compileAndRun(e,[{shape:i,dtype:o,dataId:t}],h,null,!1)}),d=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture,d.texShape[0],d.texShape[1]).subarray(0,u);return this.disposeData(h.dataId),m},t.prototype.time=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s,u;return o(this,function(o){switch(o.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),i=y(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),a=y(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),[4,Promise.all(i)];case 1:return s=o.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:h(s),getExtraProfileInfo:function(){return s.map(function(t,e){return{name:a[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},t.prototype.endTimer=function(t){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=performance.now(),t)},t.prototype.getQueryTime=function(t){return i(this,void 0,void 0,function(){var e;return o(this,function(n){return Bt.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},t.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t))if(this.pendingRead.has(t))this.pendingDisposal.add(t);else if(this.texData.has(t)){var e=this.texData.get(t),n=e.texture,r=e.dtype,i=e.texShape,o=e.usage,a=e.complexTensors,s=e.isPacked,u=e.slice;if(null!=n){var l=u&&u.origDataId||t,c=this.dataRefCount.get(l);c>1?this.dataRefCount.set(l,c-1):(this.dataRefCount.delete(l),this.releaseTexture(t,n,i,o,r,s),this.texData.delete(t))}null!=a&&(a.real.dispose(),a.imag.dispose())}},t.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},t.prototype.getCPUBackend=function(){return Bt.get("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Bt.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every(function(t){return null==n.texData.get(t.dataId).texture&&t.size<e})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.getCanvas=function(){return this.canvas},t.prototype.complex=function(t,e){var n=this.makeOutputArray(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Bt.engine.keep(t.clone()),imag:Bt.engine.keep(e.clone())},n},t.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},t.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},t.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);var r=this.texData.get(t.dataId).isPacked,i=ye(t.shape,e,n);if(r||!i){var o=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new Xi(n):new Ki(n),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[t],null,a)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},t.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),i=ut.make(n,{},t.dtype,this),o=this.texData.get(i.dataId);Object.assign(o,r),o.shape=n,o.dtype=t.dtype;var a=ve(e,t.strides);r.slice&&(a+=r.slice.flatOffset),o.slice={flatOffset:a,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(t,e,n,r,i,o,a,s,u){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r,i,o,a,s,u);var l=de(t.shape,e,n,r,i,o,a,s,u),c=l[0],p=l[1],h=l[2],f=p.filter(function(t,e){return-1===h.indexOf(e)});if(f.some(function(t){return 0===t}))return Te([],f);var d=new Yi(c,r,p,h);return this.compileAndRun(d,[t])},t.prototype.reverse=function(t,e){var n=new ji(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.concat=function(t,e){if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>Bt.get("WEBGL_MAX_TEXTURES_IN_SHADER")){var n=Math.floor(t.length/2),r=this.concat(t.slice(0,n),e),i=this.concat(t.slice(n),e);return this.concat([r,i],e)}if(Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var o=new Un(t.map(function(t){return t.shape}),e);return this.compileAndRun(o,t)}var a=ue(t.map(function(t){return t.shape}),e),s=t.map(function(t){return t.as2D(-1,v(t.shape.slice(e)))}),u=new Bn(s.map(function(t){return t.shape}));return this.compileAndRun(u,s).reshape(a)},t.prototype.neg=function(t){var e=new oo(t.shape,"return -x;");return this.compileAndRun(e,[t])},t.prototype.batchMatMul=function(t,e,n,r){var i=n?t.shape[2]:t.shape[1],o=r?e.shape[1]:e.shape[2],a=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===i||1===o)&&a>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===o?t:t.as3D(s,a,1),l=1===o?2:1,c=1===o?e.as3D(s,1,a):e;return this.multiply(u,c).sum(l,!0)}var p=yt(t.dtype,e.dtype),h=new Ti(t.shape,[s,i,o],n,r),f=this.makePackedTensor(h.outputShape,p);return this.compileAndRun(h,[t,e],f)},t.prototype.fusedBatchMatMul=function(t,e,n,r,i,o){var a=n?t.shape[2]:t.shape[1],s=r?e.shape[1]:e.shape[2],u=t.shape[0],l=yt(t.dtype,e.dtype),c=new Ti(t.shape,[u,a,s],n,r,!!i,o?function(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?yo:so;if("relu"===t)return e?vo:uo;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}(o,!0):null),p=this.makePackedTensor(c.outputShape,l),h=[t,e];return i&&h.push(i),this.compileAndRun(c,h,p)},t.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),i=new Rn(An,t.shape,e.shape),o=new Rn(Tn,t.shape,e.shape),a=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag),this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],s=this.compileAndRun(i,a),u=this.compileAndRun(o,a),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,_n,t.dtype);var c=new Mn(_n,t.shape,e.shape),p=this.makeOutputArray(c.outputShape,t.dtype);return this.compileAndRun(c,[t,e],p)},t.prototype.batchNormalization=function(t,e,n,r,i,o){var a=[t,e,n],s=null;null!=o&&(s=o.shape,a.push(o));var u=null;if(null!=i&&(u=i.shape,a.push(i)),Bt.get("WEBGL_PACK_BATCHNORMALIZATION")){var l=new kn(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(l,a)}var c=new In(t.shape,e.shape,n.shape,s,u,r);return this.compileAndRun(c,a)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){var o=new Ii(t.shape,e,n,r,i);return this.compileAndRun(o,[t])},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){var s=new ki(e.shape,r,i,o,a);return this.compileAndRun(s,[e,n,t])},t.prototype.tile=function(t,e){var n=new to(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.pad=function(t,e,n){var r=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new Mi(t.shape,e,n):new _i(t.shape,e,n);return this.compileAndRun(r,[t])},t.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=Bt.get("WEBGL_PACK_ARRAY_OPERATIONS")?new no(t.shape,e):new eo(t.shape,e);return this.compileAndRun(n,[t])},t.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new sr(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},t.prototype.batchToSpaceND=function(t,e,n){d(t.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=Yt(t.shape,e,r),o=Jt(i.length,e.length),a=Zt(t.shape,e,r),s=Qt(n,e.length),u=te(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){d(t.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=Yt(a.shape,e,r,!1),u=Jt(s.length,e.length,!1),l=Zt(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(l)},t.prototype.reduce=function(t,e,n){var r=t.shape[0],i=t.shape[1],o=pe(i),a=new Fi({windowSize:o,inSize:i,batchSize:r},e),s=a.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(a,[t],c),1===c.shape[1]?c:this.reduce(c,e,n)},t.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],i=t.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var o=pe(i),a=new nn({windowSize:o,inSize:i,batchSize:r},e,null==n),s=a.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],"int32"),p=[t];return null!=n&&p.push(n),this.compileAndRun(a,p,c),1===c.shape[1]?c:this.argReduce(t,e,c)},t.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,i=pe(r[r.length-1]),o=new Cn(r,i,e,null==n),a=this.makePackedTensor(o.outputShape,"int32"),s=null==n?[t]:[t,n];return this.compileAndRun(o,s,a),a.rank===t.rank?this.argReducePacked(t,e,a):a},t.prototype.sum=function(t,e){ie("sum",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i),a=vt(t.dtype);return this.reduce(o,"sum",a).reshape(r)},t.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i),a=vt(t.dtype);return this.reduce(o,"prod",a).reshape(r)},t.prototype.unsortedSegmentSum=function(t,e,n){var r=0,i=oe([r],t.rank),o=t;null!=i&&(o=t.transpose(i),r=se(1,t.rank)[0]);var a=function(t,e,n){for(var r=[],i=t.length,o=0;o<i;o++)o!==e?r.push(t[o]):r.push(n);return r}(o.shape,r,n),s=v([o.shape[r]]),u=o.as2D(-1,s),l=vt(t.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",e,l,n).reshape(a);return null!=i&&(c=c.transpose(ae(i))),c},t.prototype.segOpCompute=function(t,e,n,r,i){var o=t.shape[0],a=t.shape[1],s=function(t,e){var n,r=!1;for(t<=ce?(n=t,r=!0):n=W(t,Math.floor(Math.sqrt(t)));!r;){if(n>e||n===t){r=!0;break}n=W(t,n+1)}return n}(a,i),u=new Gi({windowSize:s,inSize:a,batchSize:o,numSegments:i},e),l=u.outputShape,c=l[0],p=l[1],h=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[t,n],h),h.shape[1]===i?h:(n=We(0,i).tile([a/s]),this.segOpCompute(h,e,n,r,i))},t.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(ie("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!Bt.get("WEBGL_PACK_REDUCE")||t.rank<=2){var i=ne(t.shape,r),o=i[0],a=v(i[1]),s=t.as2D(-1,a);return this.argReduce(s,n).reshape(o)}return this.argReducePacked(t,n)},t.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},t.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},t.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var i=new Zn(t.shape,n,r);return this.compileAndRun(i,[t])},t.prototype.equal=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Mn("return float(a == b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.notEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Mn("return float(a != b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Mn("return float(a < b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.lessEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Mn("return float(a <= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Mn("return float(a > b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.greaterEqual=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Mn("return float(a >= b);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalNot=function(t){var e=new oo(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},t.prototype.logicalAnd=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Mn("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.logicalOr=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Mn("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[t,e],r)},t.prototype.select=function(t,e,n){var r=new Hi(t.rank,e.shape,e.rank),i=this.makeOutputArray(r.outputShape,yt(e.dtype,n.dtype));return this.compileAndRun(r,[t,e,n],i)},t.prototype.where=function(t){Xt("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return ca(t.shape,e)},t.prototype.topk=function(t,e,n){return en(t.dataSync(),t.shape,t.dtype,e)},t.prototype.min=function(t,e){ie("min",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"min",o.dtype).reshape(r)},t.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isNaN(a)) + vec4(isNaN(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.mod=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);ie("max",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"max",o.dtype).reshape(r)},t.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isNaN(a)) + vec4(isNaN(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.all=function(t,e){ie("all",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"all",o.dtype).reshape(r)},t.prototype.any=function(t,e){ie("any",e,t.rank);var n=ne(t.shape,e),r=n[0],i=v(n[1]),o=t.as2D(-1,i);return this.reduce(o,"any",o.dtype).reshape(r)},t.prototype.squaredDifference=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("return (a - b) * (a - b);",t.shape,e.shape):new Mn("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.realDivide=function(t,e){var n=new Mn("if (a == b) return 1.0;\n  return a / b;",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t,e],r)},t.prototype.floorDiv=function(t,e){if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  vec4 resultSign = sign(a) * sign(b);\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  ivec4 result = ia / ib;\n  ivec4 amodb = ia - ib * result;\n\n  // Vectorize INT_DIV\n  // if (resultSign < 0.0 && amodb != 0) result -= 1;\n  // return float(result);\n  return vec4(result -\n     ivec4(lessThan(resultSign, vec4(0.0))) * ivec4(notEqual(amodb, ivec4(0))));\n","int32");var n=new Mn("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",t.shape,e.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[t,e],r)},t.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Dn);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=yt(t.dtype,e.dtype);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Dn,n);var r=new Mn(Dn,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.packedBinaryOp=function(t,e,n,r){var i=new Ln(n,t.shape,e.shape),o=this.makePackedTensor(i.outputShape,r);return this.compileAndRun(i,[t,e],o)},t.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,i=this.texData.get(t.dataId),o=this.texData.get(e.dataId),a=[[i.complexTensors.real,o.complexTensors.real],[i.complexTensors.imag,o.complexTensors.imag]].map(function(i){var o=i[0],a=i[1],s=r.makeComplexComponentTensorHandle(t,o),u=r.makeComplexComponentTensorHandle(e,a),l=new Mn(n,t.shape,e.shape),c=r.makeOutputArray(l.outputShape,yt(o.dtype,a.dtype));return r.compileAndRun(l,[s,u],c)}),s=a[0],u=a[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},t.prototype.makeComplexComponentTensorHandle=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},t.prototype.addN=function(t){for(var e=t[0],n=1;n<t.length;n++)e=this.add(e,t[n]);return e},t.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,On);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=yt(t.dtype,e.dtype);if(Bt.get("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,On,t.dtype);var r=new Mn(On,t.shape,e.shape),i=this.makeOutputArray(r.outputShape,n);return this.compileAndRun(r,[t,e],i)},t.prototype.pow=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS"),r=n?new Ln("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),i=yt(t.dtype,e.dtype),o=n?this.makePackedTensor(r.outputShape,i):this.makeOutputArray(r.outputShape,i),a=r.getCustomSetupFunc();return this.compileAndRun(r,[t,e],o,a)},t.prototype.ceil=function(t){var e=new oo(t.shape,"return ceil(x);");return this.compileAndRun(e,[t])},t.prototype.floor=function(t){var e=new oo(t.shape,"return floor(x);");return this.compileAndRun(e,[t])},t.prototype.sign=function(t){var e=new oo(t.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},t.prototype.round=function(t){var e=new oo(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},t.prototype.exp=function(t){var e;return e=Bt.get("WEBGL_PACK")?new bo(t.shape,co):new oo(t.shape,co),this.compileAndRun(e,[t])},t.prototype.expm1=function(t){var e=new oo(t.shape,"return exp(x) - 1.0;");return this.compileAndRun(e,[t])},t.prototype.log=function(t){var e,n=(e=Bt.get("WEBGL_PACK")?new bo(t.shape,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n"):new oo(t.shape,"if (x < 0.0) return NAN;\n  return log(x);")).getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.log1p=function(t){var e=new oo(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},t.prototype.sqrt=function(t){var e=new oo(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},t.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new oo(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},t.prototype.square=function(t){var e=new oo(t.shape,"return x * x;");return this.compileAndRun(e,[t])},t.prototype.reciprocal=function(t){var e=new oo(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},t.prototype.relu=function(t){var e;return e=Bt.get("WEBGL_PACK")?new bo(t.shape,vo):new oo(t.shape,uo),this.compileAndRun(e,[t])},t.prototype.prelu=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",t.shape,e.shape):new Mn("return (a < 0.) ? b * a : a;",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.elu=function(t){var e=new oo(t.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(e,[t])},t.prototype.eluDer=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Mn("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},t.prototype.selu=function(t){var e=new oo(t.shape,lo);return this.compileAndRun(e,[t])},t.prototype.int=function(t){var e=new oo(t.shape,"return float(int(x));"),n=this.makeOutputArray(e.outputShape,"int32");return this.compileAndRun(e,[t],n)},t.prototype.clip=function(t,e,n){var r,i=(r=Bt.get("WEBGL_PACK_CLIP")?new zn(t.shape):new Fn(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,i)},t.prototype.abs=function(t){var e=new oo(t.shape,"return abs(x);");return this.compileAndRun(e,[t])},t.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Pn(t.shape),r=[this.makeComplexComponentTensorHandle(t,e.complexTensors.real),this.makeComplexComponentTensorHandle(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(t){var e=new oo(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},t.prototype.softplus=function(t){var e=new oo(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},t.prototype.sin=function(t){var e=new oo(t.shape,po);return this.compileAndRun(e,[t])},t.prototype.cos=function(t){var e=new oo(t.shape,ho);return this.compileAndRun(e,[t])},t.prototype.tan=function(t){var e=new oo(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},t.prototype.asin=function(t){var e=new oo(t.shape,"return asin(x);");return this.compileAndRun(e,[t])},t.prototype.acos=function(t){var e=new oo(t.shape,"return acos(x);");return this.compileAndRun(e,[t])},t.prototype.atan=function(t){var e=new oo(t.shape,fo);return this.compileAndRun(e,[t])},t.prototype.atan2=function(t,e){var n=Bt.get("WEBGL_PACK_BINARY_OPERATIONS")?new Ln("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isNaN(a)) + vec4(isNaN(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Mn("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[t,e],null,r)},t.prototype.sinh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.cosh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},t.prototype.tanh=function(t){var e=new oo(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},t.prototype.asinh=function(t){var e=new oo(t.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},t.prototype.acosh=function(t){var e=new oo(t.shape,mo),n=e.getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.atanh=function(t){var e=new oo(t.shape,go),n=e.getCustomSetupFunc();return this.compileAndRun(e,[t],null,n)},t.prototype.erf=function(t){var e=new oo(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(e,[t])},t.prototype.step=function(t,e){var n=new oo(t.shape,function(t){return void 0===t&&(t=0),ao+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},t.prototype.conv2dByMatMul=function(t,e,n){var r=t.shape,i=this.texData.get(t.dataId);if(!Bt.get("WEBGL_LAZILY_UNPACK")||!Bt.get("WEBGL_PACK_BINARY_OPERATIONS")||r[2]%2==0||!i.isPacked){var o=this.reshape(t,[1,r[0]*r[1]*r[2],n.inChannels]),a=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.batchMatMul(o,a,!1,!1),n.outShape)}var s=ut.make([1,r[0]*r[1]*(r[2]+1),n.inChannels],{dataId:t.dataId},t.dtype,this),u=i.shape;i.shape=i.shape.slice(),i.shape[i.shape.length-2]++,d(Qr(i.shape,s.shape),function(){return"packed reshape "+i.shape+" to "+s.shape+" isn't free"});var l=this.reshape(e,[1,n.inChannels,n.outChannels]),c=this.batchMatMul(s,l,!1,!1),p=this.texData.get(c.dataId);return d(p.isPacked,function(){return"batchMatMul result is expected to be packed"}),i.shape=u,p.shape=n.outShape,ut.make(n.outShape,{dataId:c.dataId},c.dtype,this)},t.prototype.conv2dWithIm2Row=function(t,e,n){var r=n.filterWidth,i=n.filterHeight,o=n.inChannels,a=n.outWidth,s=n.outHeight,u=r*i*o,l=s*a,c=[u,l],p=t.squeeze([0]),h=e.reshape([1,u,-1]),f=new Ei(c,p.shape,n),d=this.compileAndRun(f,[p]).reshape([1,c[0],c[1]]),m=new Ti(d.shape,[1,l,n.outChannels],!0,!1);return this.compileAndRun(m,[d,h]).reshape([1,s,a,n.outChannels])},t.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(Bt.get("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Kn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerInput=function(t,e,n){var r=new Vn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv2dDerFilter=function(t,e,n){var r=new Wn(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2D=function(t,e,n){var r;return Bt.get("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Yn(n),this.compileAndRun(r,[t,e],this.makePackedTensor(n.outShape,t.dtype))):(r=new Xn(n),this.compileAndRun(r,[t,e]))},t.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Hn(n);return this.compileAndRun(r,[t,e])},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Gn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3d=function(t,e,n){var r=new $n(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerInput=function(t,e,n){var r=new qn(n);return this.compileAndRun(r,[t,e])},t.prototype.conv3dDerFilter=function(t,e,n){var r=new jn(n);return this.compileAndRun(r,[t,e])},t.prototype.maxPool=function(t,e){var n=new Li(e,"max",!1),r=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[t],r)},t.prototype.avgPool=function(t,e){var n=new Li(e,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[t],r)},t.prototype.maxPoolBackprop=function(t,e,n,r){var i=new Li(r,"max",!0),o=this.compileAndRun(i,[e]),a=new Ai(r),s=this.makeOutputArray(a.outputShape,e.dtype),u=this.compileAndRun(a,[t,o],s);return o.dispose(),u},t.prototype.avgPoolBackprop=function(t,e,n){var r=new En(n),i=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[t],i)},t.prototype.cast=function(t,e){return He(t,e,this)},t.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),i=0,o=0;o<t.rank;o++)o!==e&&(r[i++]=t.shape[o]);var a=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(o=0;o<u.length;o++)a[e]=o,u[o]=this.slice(t,a,s).reshape(r);return u},t.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);return!n.isPacked||Qr(t.shape,e)||null!==n.texture&&Qr(n.shape,e)?Ke(t,e):this.packedReshape(t,e)},t.prototype.resizeBilinear=function(t,e,n,r){var i=Bt.get("WEBGL_PACK_IMAGE_OPERATIONS")?new Ui(t.shape,e,n,r):new Bi(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Pi(t,e,n);return this.compileAndRun(r,[t])},t.prototype.resizeNearestNeighbor=function(t,e,n,r){var i=new Vi(t.shape,e,n,r);return this.compileAndRun(i,[t])},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Wi(t,e,n);return this.compileAndRun(r,[t])},t.prototype.multinomial=function(t,e,n,r){var i=e?t:Ce(t),o=i.shape[0],a=i.shape[1],s=new Ri(o,a,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],u,l)},t.prototype.oneHot=function(t,e,n,r){var i=new Di(t.size,e,n,r);return this.compileAndRun(i,[t])},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return Xt("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Ze(t.dataSync(),e.dataSync(),n,r,i)},t.prototype.cropAndResize=function(t,e,n,r,i,o){var a=new Jn(t.shape,e.shape,r,i,o);return this.compileAndRun(a,[t,e,n])},t.prototype.depthToSpace=function(t,e,n){d(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});var r=t.shape[0],i="NHWC"===n?t.shape[1]:t.shape[2],o="NHWC"===n?t.shape[2]:t.shape[3],a="NHWC"===n?t.shape[3]:t.shape[1],s=i*e,u=o*e,l=a/(e*e),c=new tr("NHWC"===n?[r,s,u,l]:[r,l,s,u],e,n);return this.compileAndRun(c,[t])},t.prototype.split=function(t,e,n){return tn(t,e,n)},t.prototype.scatterND=function(t,e,n){var r=fe(0,t,n),i=r.sliceRank,o=r.numUpdates,a=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/a,a],c=t.reshape([o,i]),p=e.reshape([o,a]);if(0===u)return Ke(Te([]),n);var h=Re(0),f=new qi(o,i,c.rank,p.rank,s,l);return this.compileAndRun(f,[p,c,h]).reshape(n)},t.prototype.sparseToDense=function(t,e,n,r){var i=fe(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.strides,u=i.outputSize,l=new qi(a,o,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(l,[e,t,r]).reshape(n)},t.prototype.fft=function(t){return this.fftImpl(t,!1)},t.prototype.ifft=function(t){return this.fftImpl(t,!0)},t.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new ir(nr,t.shape,e),i=new ir(rr,t.shape,e),o=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],a=this.compileAndRun(r,o),s=this.compileAndRun(i,o),u=this.complex(a,s).as2D(t.shape[0],t.shape[1]);return a.dispose(),s.dispose(),u},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=le(t,e),o=i[0],a=i[1],s=i[2],u=i[3],l=e.reshape([a,r]),c=t.reshape([t.size/s,s]),p=new cr(r,u,[a,s]);return this.compileAndRun(p,[c,l]).reshape(o)},t.prototype.fill=function(t,e,n){if("string"===(n=n||B(e))){var r=T(n,v(t));return r.fill(e),ut.make(t,{values:r},n)}var i=new or(t,e),o=i.getCustomSetupFunc(e),a=this.makeOutputArray(t,n);return this.compileAndRun(i,[],a,o)},t.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},t.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},t.prototype.makeOutputArray=function(t,e){return ut.make(t,{},e,this)},t.prototype.makePackedTensor=function(t,e){var n=ut.make(t,{},e,this);return this.texData.get(n.dataId).isPacked=!0,n},t.prototype.unpackTensor=function(t){var e=new wo(t.shape);return this.compileAndRun(e,[t],ut.make(e.outputShape,{},t.dtype,this))},t.prototype.packTensor=function(t){var e=new Oi(t.shape);return this.compileAndRun(e,[t],this.makePackedTensor(t.shape,t.dtype))},t.prototype.packedReshape=function(t,e){var n=t.reshape([Xr(t.shape)].concat(Yr(t.shape))),r=[Xr(e)].concat(Yr(e)),i=new zi(r,n.shape);return this.compileAndRun(i,[n]).reshape(e)},t.prototype.compileAndRun=function(t,e,n,r,i){var o=this;if(void 0===i&&(i=!0),null==n&&(n=t.usesPackedTextures?this.makePackedTensor(t.outputShape,e[0].dtype):this.makeOutputArray(t.outputShape,e[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=A(n.dtype,0),n;var a=e.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=o.texData.get(e.dataId);if(null==n.texture){if(!t.usesPackedTextures&&v(e.shape)<=Bt.get("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:o.readSync(e.dataId)};t.usesPackedTextures&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.usesPackedTextures)e=n.isPacked?o.unpackTensor(e):o.packTensor(e),n=o.texData.get(e.dataId);else if(n.isPacked&&!Qr(n.shape,e.shape)){var r=e,i=e.shape;e.shape=n.shape,e=o.packedReshape(e,i),n=o.texData.get(e.dataId),r.shape=i}return o.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(t,e,n){var r="";e.concat(n).forEach(function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e});var i=t.userCode;return t.constructor.name+"_"+r+"_"+i}(t,a,u),c=this.getAndSaveBinary(l,function(){return function(t,e,n,r){for(var i=e.userCode,o=n.map(function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}}),a=o.map(function(t){return t.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=hn(o,s,i,e.usesPackedTextures),l=t.createProgram(u),c={},p=0;p<e.variableNames.length;p++){var h=e.variableNames[p];c[h]=t.getUniformLocation(l,h,!1),c["offset"+h]=t.getUniformLocation(l,"offset"+h,!1)}return{program:e,source:u,webGLProgram:l,uniformLocations:c,gpgpu:t,inShapeInfos:a,outShapeInfo:s}}(o.gpgpu,t,a,u)}),p=null!=this.activeTimers;p&&(s=this.startTimer()),function(t,e,n,r){Ci(t.inShapeInfos,e),Ci([t.outShapeInfo],[n]);var i=n.texData.texture,o=n.texData.texShape,a=t.gpgpu;n.texData.isPacked?a.setOutputPackedMatrixTexture(i,o[0],o[1]):a.setOutputMatrixTexture(i,o[0],o[1]),a.setProgram(t.webGLProgram),e.forEach(function(e,n){var r=t.program.variableNames[n],i=t.uniformLocations[r],o=t.uniformLocations["offset"+r];if(null!=i)if(e.isUniform)if(1===v(e.shape))a.gl.uniform1f(i,e.uniformValues[0]);else{var s=e.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),a.gl.uniform1fv(i,s)}else null!=e.texData.slice&&null!=o&&a.gl.uniform1i(o,e.texData.slice.flatOffset),a.setInputMatrixTexture(e.texData.texture,i,n)}),null!=r&&r(a,t.webGLProgram),a.executeProgram()}(c,a,u,r);var h=1024*Bt.get("WEBGL_NUM_MB_BEFORE_PAGING");if(i&&this.numBytesInGPU>h)for(var f=this.numBytesInGPU-h;f>0&&this.lruDataGPU.length>0;){var d=this.lruDataGPU.shift(),m=this.texData.get(d),g=m.texShape,y=m.dtype;f-=this.computeBytes(g,y),this.read(d)}return p&&(s=this.endTimer(s),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(s)})),Bt.get("WEBGL_LAZILY_UNPACK")||!this.texData.get(n.dataId).isPacked||t.isPackShader?n:this.unpackTensor(n)},t.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){if(!this.disposed){for(var t in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},t.prototype.floatPrecision=function(){var t=this;return qt(function(){var e=Bt.get("DEBUG");Bt.set("DEBUG",!1);var n=t.abs(Re(1e-8)).dataSync()[0];return Bt.set("DEBUG",e),n>0?32:16})},t.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,i=n.dtype,o=n.values,a=n.texture,s=n.usage,u=n.isPacked;if(null==a){var l,c=null!=this.activeTimers;c&&(l=performance.now());var p=Jr(r,u);n.texShape=p;var h=this.acquireTexture(t,p,s,i,u);if(n.texture=h,null!=o){if(u){var f=Xr(r),d=1,m=1;r.length&&(d=(e=Yr(r))[0],m=e[1]),this.gpgpu.uploadMatrixToPackedTexture(h,f,d,m,p[0],p[1],ha(o))}else this.gpgpu.uploadMatrixToTexture(h,p[0],p[1],ha(o));n.values=null,c&&(this.uploadWaitMs+=performance.now()-l)}}else Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY&&this.lruDataGPU.indexOf(t)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(t),1),this.lruDataGPU.push(t))},t.prototype.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.texture,i=n.texShape,o=n.dtype,a=n.usage,s=n.isPacked;return null!=r&&(this.releaseTexture(t,r,i,a,o,s),n.texture=null,n.texShape=null,n.isPacked=!1),n.usage=ur.UPLOAD,null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){for(var n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length),r=0;r<n.length;++r)n[r]=Math.round(t[r]);return n}throw new Error("Unknown dtype "+e)}(e,o)),n.values},t.prototype.releaseTexture=function(t,e,n,r,i,o){if(Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY){var a=this.lruDataGPU.indexOf(t);a>=0&&this.lruDataGPU.splice(a,1)}this.numBytesInGPU-=this.computeBytes(n,i),this.textureManager.releaseTexture(e,n,r,o)},t.prototype.acquireTexture=function(t,e,n,r,i){return Bt.get("WEBGL_NUM_MB_BEFORE_PAGING")<Number.POSITIVE_INFINITY&&this.lruDataGPU.push(t),this.numBytesInGPU+=this.computeBytes(e,r),this.textureManager.acquireTexture(e,n,i)},t.prototype.computeBytes=function(t,e){return t[0]*t[1]*M(e)},t}();function ha(t){return t instanceof Float32Array?t:new Float32Array(t)}Bt.get("IS_BROWSER")&&Bt.registerBackend("webgl",function(){return new pa},2);var fa=Se({abs_:function(t){var e=xe(t,"x","abs");return"complex64"===e.dtype?Bt.engine.runKernel(function(t){return t.complexAbs(e)},{$x:e}):Bt.engine.runKernel(function(t){return t.abs(e)},{$x:e},function(t){return{$x:function(){return t.mulStrict(e.toFloat().step(-1))}}})}}),da=Se({acos_:function(t){var e=xe(t,"x","acos");return Bt.engine.runKernel(function(t){return 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ut.make(t.shape,{values:n})},t.prototype.sin=function(t){this.assertNotComplex(t,"sin");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return ut.make(t.shape,{values:e})},t.prototype.cos=function(t){this.assertNotComplex(t,"cos");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return ut.make(t.shape,{values:e})},t.prototype.tan=function(t){this.assertNotComplex(t,"tan");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return ut.make(t.shape,{values:e})},t.prototype.asin=function(t){this.assertNotComplex(t,"asin");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return ut.make(t.shape,{values:e})},t.prototype.acos=function(t){this.assertNotComplex(t,"acos");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atan=function(t){this.assertNotComplex(t,"atan");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atan2=function(t,e){return this.assertNotComplex([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},t.prototype.sinh=function(t){this.assertNotComplex(t,"sinh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.cosh=function(t){this.assertNotComplex(t,"cosh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.tanh=function(t){this.assertNotComplex(t,"tanh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=x(n[r]);return ut.make(t.shape,{values:e})},t.prototype.asinh=function(t){this.assertNotComplex(t,"asinh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.acosh=function(t){this.assertNotComplex(t,"acosh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.atanh=function(t){this.assertNotComplex(t,"atanh");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return ut.make(t.shape,{values:e})},t.prototype.erf=function(t){this.assertNotComplex(t,"erf");for(var e=new Float32Array(t.size),n=t.dataSync(),r=0;r<n.length;++r){var i=n[r],o=1/(1+.3275911*i);e[r]=1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i)}return ut.make(t.shape,{values:e})},t.prototype.step=function(t,e){void 0===e&&(e=0),this.assertNotComplex(t,"step");for(var n=new Float32Array(t.size),r=t.dataSync(),i=0;i<r.length;++i){var o=r[i];isNaN(o)?n[i]=NaN:n[i]=o>0?1:e}return ut.make(t.shape,{values:n})},t.prototype.conv2d=function(t,e,n){this.assertNotComplex([t,e],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=zo(n.outShape,t.dtype),c=t.dataSync(),p=e.dataSync(),h=l.values,f=0;f<n.batchSize;++f)for(var d=f*t.strides[0],m=f*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*o;if(!(w<0||w>=n.inHeight))for(var x=b*e.strides[0],N=d+w*t.strides[1],S=0;S<n.outWidth;++S)for(var C=y+S*n.outChannels,E=S*n.strideWidth-u,I=0;I<i;I++){var k=E+I*a;if(!(k<0||k>=n.inWidth))for(var A=x+I*e.strides[1],T=N+k*n.inChannels,R=A,D=0;D<n.inChannels;++D){for(var O=c[T+D],_=0;_<n.outChannels;++_)h[C+_]+=O*p[R+_];R+=n.outChannels}}}return l.toTensor()},t.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,i=n.filterHeight,o=n.filterWidth,a=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,l=n.padInfo.front,c=n.padInfo.left,p=n.padInfo.top,h=zo(n.outShape,t.dtype),f=t.dataSync(),d=e.dataSync(),m=h.values,g=0;g<n.batchSize;++g)for(var y=g*t.strides[0],v=g*h.strides[0],b=0;b<n.outDepth;++b)for(var w=v+b*h.strides[1],x=b*n.strideDepth-l,N=0;N<r;N++){var S=x+N*a;if(!(S<0||S>=n.inDepth))for(var C=N*e.strides[0],E=y+S*t.strides[1],I=0;I<n.outHeight;++I)for(var k=w+I*h.strides[2],A=I*n.strideHeight-p,T=0;T<i;T++){var R=A+T*s;if(!(R<0||R>=n.inHeight))for(var D=C+T*e.strides[1],O=E+R*t.strides[2],_=0;_<n.outWidth;++_)for(var M=k+_*n.outChannels,L=_*n.strideWidth-c,F=0;F<o;F++){var z=L+F*u;if(!(z<0||z>=n.inWidth))for(var P=D+F*e.strides[2],B=O+z*n.inChannels,U=P,W=0;W<n.inChannels;++W){for(var V=f[B+W],j=0;j<n.outChannels;++j)m[M+j]+=V*d[U+j];U+=n.outChannels}}}}return h.toTensor()},t.prototype.conv2dDerInput=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerInput");for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=t.dataSync(),c=t.strides,p=c[0],h=c[1],f=c[2],d=e.dataSync(),m=e.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,S=n.inHeight,C=n.inWidth,E=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=0;O<b;++O)for(var _=0;_<N;++_)for(var M=0;M<S;++M)for(var L=M-R,F=Math.max(0,Math.ceil(L/A)),z=Math.min(I,(w+L)/A),P=0;P<C;++P){for(var B=P-D,U=Math.max(0,Math.ceil(B/T)),W=Math.min(k,(x+B)/T),V=0,j=F;j<z;++j)for(var q=j*A-L,G=U;G<W;++G)for(var H=p*O+h*j+f*G,K=g*(w-1-q)+y*(x-1-(G*T-B))+v*_,$=0;$<E;++$)V+=l[H+$]*d[K+$];i[a*O+s*M+u*P+_]=V}return r.toTensor()},t.prototype.conv3dDerInput=function(t,e,n){for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=o[3],c=t.dataSync(),p=t.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=e.dataSync(),y=e.strides,v=y[0],b=y[1],w=y[2],x=y[3],N=n.batchSize,S=n.filterDepth,C=n.filterHeight,E=n.filterWidth,I=n.inChannels,k=n.inDepth,A=n.inHeight,T=n.inWidth,R=n.outChannels,D=n.outDepth,O=n.outHeight,_=n.outWidth,M=n.strideDepth,L=n.strideHeight,F=n.strideWidth,z=S-1-n.padInfo.front,P=C-1-n.padInfo.top,B=E-1-n.padInfo.left,U=0;U<N;++U)for(var W=0;W<I;++W)for(var V=0;V<k;++V)for(var j=V-z,q=Math.max(0,Math.ceil(j/M)),G=Math.min(D,(S+j)/M),H=0;H<A;++H)for(var K=H-P,$=Math.max(0,Math.ceil(K/L)),X=Math.min(O,(C+K)/L),Y=0;Y<T;++Y){for(var J=Y-B,Z=Math.max(0,Math.ceil(J/F)),Q=Math.min(_,(E+J)/F),tt=0,et=q;et<G;++et)for(var nt=et*M-j,rt=$;rt<X;++rt)for(var it=rt*L-K,ot=Z;ot<Q;++ot)for(var at=h*U+f*et+d*rt+m*ot,st=v*(S-1-nt)+b*(C-1-it)+w*(E-1-(ot*F-J))+x*W,ut=0;ut<R;++ut)tt+=c[at+ut]*g[st+ut];i[a*U+s*V+u*H+l*Y+W]=tt}return r.toTensor()},t.prototype.conv2dDerFilter=function(t,e,n){this.assertNotComplex([t,e],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=zo(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=t.bufferSync(),p=e.bufferSync(),h=0;h<o;++h)for(var f=Math.max(0,Math.ceil((l-h)/r)),d=Math.min(n.outHeight,(n.inHeight+l-h)/r),m=0;m<a;++m)for(var g=Math.max(0,Math.ceil((u-m)/i)),y=Math.min(n.outWidth,(n.inWidth+u-m)/i),v=0;v<n.inChannels;++v)for(var b=0;b<n.outChannels;++b){for(var w=0,x=0;x<n.batchSize;++x)for(var N=f;N<d;++N)for(var S=h+N*r-l,C=g;C<y;++C){var E=m+C*i-u;w+=c.get(x,S,E,v)*p.get(x,N,C,b)}s.set(w,h,m,v,b)}return s.toTensor()},t.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,i=n.strideHeight,o=n.strideWidth,a=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=zo(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],g=e.dataSync(),y=e.strides,v=y[0],b=y[1],w=y[2],x=y[3],N=t.dataSync(),S=t.strides,C=S[0],E=S[1],I=S[2],k=S[3],A=n.padInfo.front,T=n.padInfo.left,R=n.padInfo.top,D=0;D<a;++D)for(var O=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),M=D*h,L=0;L<s;++L)for(var F=Math.max(0,Math.ceil((R-L)/i)),z=Math.min(n.outHeight,(n.inHeight+R-L)/i),P=L*f+M,B=0;B<u;++B)for(var U=Math.max(0,Math.ceil((T-B)/o)),W=Math.min(n.outWidth,(n.inWidth+T-B)/o),V=B*d+P,j=0;j<n.inChannels;++j)for(var q=j*m+V,G=0;G<n.outChannels;++G){for(var H=0,K=0;K<n.batchSize;++K)for(var $=K*C,X=K*v,Y=O;Y<_;++Y)for(var J=(D+Y*r-A)*E+$,Z=Y*b+X,Q=F;Q<z;++Q)for(var tt=(L+Q*i-R)*I+J,et=Q*w+Z,nt=U;nt<W;++nt){var rt=nt*x+et;H+=N[(B+nt*o-T)*k+tt+j]*g[rt+G]}c[q+G]=H}return l.toTensor()},t.prototype.depthwiseConv2D=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,o=n.dilationHeight,a=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=zo(n.outShape,t.dtype),p=t.dataSync(),h=e.dataSync(),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*o;if(!(x<0||x>=n.inHeight))for(var N=w*e.strides[0],S=m+x*t.strides[1],C=0;C<n.outWidth;++C)for(var E=v+C*c.strides[2],I=C*n.strideWidth-u,k=0;k<i;++k){var A=I+k*a;if(!(A<0||A>=n.inWidth))for(var T=N+k*e.strides[1],R=S+A*n.inChannels,D=E,O=T,_=0;_<n.inChannels;++_){for(var M=p[R+_],L=0;L<l;++L)f[D+L]+=M*h[O+L];D+=l,O+=l}}}return c.toTensor()},t.prototype.depthwiseConv2DDerInput=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerInput");for(var r=zo(n.inShape,"float32"),i=r.values,o=r.strides,a=o[0],s=o[1],u=o[2],l=t.dataSync(),c=t.strides,p=c[0],h=c[1],f=c[2],d=e.dataSync(),m=e.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,N=n.inChannels,S=n.inHeight,C=n.inWidth,E=n.outChannels,I=n.outHeight,k=n.outWidth,A=n.strideHeight,T=n.strideWidth,R=w-1-n.padInfo.top,D=x-1-n.padInfo.left,O=E/N,_=0;_<b;++_)for(var M=0;M<N;++M)for(var L=0;L<S;++L)for(var F=L-R,z=Math.max(0,Math.ceil(F/A)),P=Math.min(I,(w+F)/A),B=0;B<C;++B){for(var U=B-D,W=Math.max(0,Math.ceil(U/T)),V=Math.min(k,(x+U)/T),j=0,q=z;q<P;++q)for(var G=q*A-F,H=W;H<V;++H)for(var K=p*_+h*q+f*H,$=g*(w-1-G)+y*(x-1-(H*T-U))+v*M,X=0;X<O;++X)j+=l[K+(M*O+X)]*d[$+X];i[a*_+s*L+u*B+M]=j}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(t,e,n){this.assertNotComplex([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=zo(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=t.bufferSync(),h=e.bufferSync(),f=0;f<o;++f)for(var d=Math.max(0,Math.ceil((l-f)/r)),m=Math.min(n.outHeight,(n.inHeight+l-f)/r),g=0;g<a;++g)for(var y=Math.max(0,Math.ceil((u-g)/i)),v=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var w=Math.trunc(b/c),x=b%c,N=0,S=0;S<n.batchSize;++S)for(var C=d;C<m;++C)for(var E=f+C*r-l,I=y;I<v;++I){var k=g+I*i-u;N+=p.get(S,E,k,w)*h.get(S,C,I,b)}s.set(N,f,g,w,x)}return s.toTensor()},t.prototype.tile=function(t,e){this.assertNotComplex(t,"tile");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var i=zo(n,t.dtype),o=t.bufferSync();for(r=0;r<i.values.length;++r){for(var a=i.indexToLoc(r),s=new Array(t.rank),u=0;u<s.length;u++)s[u]=a[u]%t.shape[u];var l=o.locToIndex(s);i.values[r]=o.values[l]}return i.toTensor()},t.prototype.pad=function(t,e,n){this.assertNotComplex(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),i=e.map(function(t){return t[0]}),o=t.bufferSync(),a=zo(r,t.dtype);0!==n&&a.values.fill(n);for(var s=0;s<t.size;s++){var u=o.indexToLoc(s),l=u.map(function(t,e){return t+i[e]});a.set.apply(a,[o.get.apply(o,u)].concat(l))}return a.toTensor()},t.prototype.transpose=function(t,e){this.assertNotComplex(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var i=t.dataSync(),o=zo(n,t.dtype),a=t.bufferSync();for(r=0;r<t.size;++r){for(var s=a.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[e[l]];var c=o.locToIndex(u);o.values[c]=i[r]}return o.toTensor()},t.prototype.gather=function(t,e,n){this.assertNotComplex([t,e],"gather");var r=t.shape.slice(),i=e.dataSync();r[n]=i.length;for(var o=zo(r,t.dtype),a=t.bufferSync(),s=0;s<o.size;++s){var u=o.indexToLoc(s),l=u.slice();l[n]=i[u[n]];var c=a.locToIndex(l);o.values[s]=a.values[c]}return o.toTensor()},t.prototype.batchToSpaceND=function(t,e,n){this.assertNotComplex([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),i=Yt(t.shape,e,r),o=Jt(i.length,e.length),a=Zt(t.shape,e,r),s=Qt(n,e.length),u=te(a,n,e.length);return t.reshape(i).transpose(o).reshape(a).slice(s,u)},t.prototype.spaceToBatchND=function(t,e,n){this.assertNotComplex([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),i=[[0,0]];i.push.apply(i,n);for(var o=1+e.length;o<t.shape.length;++o)i.push([0,0]);var a=t.pad(i),s=Yt(a.shape,e,r,!1),u=Jt(s.length,e.length,!1),l=Zt(a.shape,e,r,!1);return a.reshape(s).transpose(u).reshape(l)},t.prototype.pool=function(t,e,n){this.assertNotComplex(t,"pool");for(var r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=t.dataSync(),f=zo(e.outShape,t.dtype),d=f.values,m=e.outShape[1]*e.outShape[2]*e.outShape[3],g=e.outShape[2]*e.outShape[3],y=e.outShape[3],v=0;v<e.batchSize;++v)for(var b=v*m,w=v*t.strides[0],x=0;x<e.inChannels;++x)for(var N=0;N<e.outHeight;++N)for(var S=N*r-l,C=Math.max(0,S),E=Math.min(e.inHeight,s+S),I=b+N*g,k=0;k<e.outWidth;++k){for(var A=k*i-c,T=Math.max(0,A),R=Math.min(e.inWidth,u+A),D=p,O=0,_=0,M=C;M<E;M+=o){for(var L=w+M*t.strides[1],F=T;F<R;F+=a){var z=h[L+F*t.strides[2]+x];"max"===n&&z>D?D=z:"avg"===n&&(O+=z,_++)}if(isNaN(D))break}d[I+k*y+x]="avg"===n?O/_:D}return f.toTensor()},t.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},t.prototype.maxPoolPositions=function(t,e){for(var n=zo(e.outShape,"int32"),r=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=e.padInfo.top,c=e.padInfo.left,p=t.bufferSync(),h=0;h<e.batchSize;++h)for(var f=0;f<e.inChannels;++f)for(var d=0;d<e.outHeight;++d){for(var m=d*r-l,g=m;g<0;)g+=o;for(var y=Math.min(e.inHeight,s+m),v=0;v<e.outWidth;++v){for(var b=v*i-c,w=b;w<0;)w+=a;for(var x=Math.min(e.inWidth,u+b),N=Number.NEGATIVE_INFINITY,S=-1,C=g;C<y;C+=o)for(var E=C-m,I=w;I<x;I+=a){var k=I-b,A=p.get(h,C,I,f);A>N&&(N=A,S=E*u+k)}n.set(S,h,d,v,f)}}return n.toTensor()},t.prototype.maxPoolBackprop=function(t,e,n,r){this.assertNotComplex([e,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(e,r),o=r.strideHeight,a=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,h=l-1-r.padInfo.top,f=zo(e.shape,"float32"),d=i.bufferSync(),m=t.bufferSync(),g=0;g<r.batchSize;++g)for(var y=0;y<r.inChannels;++y)for(var v=0;v<r.inHeight;++v)for(var b=0;b<r.inWidth;++b){for(var w=v-h,x=b-p,N=0,S=0;S<l;S+=s){var C=(w+S)/o;if(!(C<0||C>=r.outHeight||Math.floor(C)!==C))for(var E=0;E<c;E+=u){var I=(x+E)/a;if(!(I<0||I>=r.outWidth||Math.floor(I)!==I)){var k=l*c-1-d.get(g,C,I,y)===S*c+E?1:0;0!==k&&(N+=m.get(g,C,I,y)*k)}}}f.set(N,g,v,b,y)}return f.toTensor()},t.prototype.avgPoolBackprop=function(t,e,n){this.assertNotComplex([t,e],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,o=n.filterHeight,a=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,h=l-1-n.padInfo.top,f=zo(e.shape,"float32"),d=1/(o*a),m=t.bufferSync(),g=0;g<n.batchSize;++g)for(var y=0;y<n.inChannels;++y)for(var v=0;v<n.inHeight;++v)for(var b=0;b<n.inWidth;++b){for(var w=v-h,x=b-p,N=0,S=0;S<l;S+=s){var C=(w+S)/r;if(!(C<0||C>=n.outHeight||Math.floor(C)!==C))for(var E=0;E<c;E+=u){var I=(x+E)/i;I<0||I>=n.outWidth||Math.floor(I)!==I||(N+=m.get(g,C,I,y))}}f.set(N*d,g,v,b,y)}return f.toTensor()},t.prototype.cast=function(t,e){return He(t,e,this)},t.prototype.reshape=function(t,e){return Ke(t,e)},t.prototype.avgPool=function(t,e){return this.assertNotComplex(t,"avgPool"),this.pool(t,e,"avg").toFloat()},t.prototype.resizeBilinear=function(t,e,n,r){this.assertNotComplex(t,"resizeBilinear");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],l=t.dataSync(),c=new Float32Array(v([o,e,n,u])),p=[r&&e>1?a-1:a,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,d=p[0]/h[0],m=p[1]/h[1],g=0;g<o;g++)for(var y=0;y<e;y++)for(var b=d*y,w=Math.floor(b),x=b-w,N=Math.min(a-1,Math.ceil(b)),S=g*t.strides[0]+w*t.strides[1],C=g*t.strides[0]+N*t.strides[1],E=0;E<n;E++)for(var I=m*E,k=Math.floor(I),A=I-k,T=Math.min(s-1,Math.ceil(I)),R=S+k*t.strides[2],D=C+k*t.strides[2],O=S+ +T*t.strides[2],_=C+T*t.strides[2],M=0;M<u;M++){var L=l[R+M],F=l[D+M],z=L+(l[O+M]-L)*A,P=z+(F+(l[_+M]-F)*A-z)*x;c[f++]=P}return Te(c,[o,e,n,u])},t.prototype.resizeBilinearBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeBilinearBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*o*a*s),h=[n&&l>1?o-1:o,n&&c>1?a-1:a],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],g=t.dataSync(),y=0,v=0;v<i;v++)for(var b=v*e.strides[0],w=0;w<l;w++)for(var x=w*d,N=Math.floor(x),S=Math.min(Math.ceil(x),o-1),C=b+N*e.strides[1],E=b+S*e.strides[1],I=x-N,k=1-I,A=0;A<c;A++)for(var T=A*m,R=Math.floor(T),D=Math.min(Math.ceil(T),a-1),O=T-R,_=1-O,M=C+R*e.strides[2],L=C+D*e.strides[2],F=E+R*e.strides[2],z=E+D*e.strides[2],P=k*_,B=k*O,U=I*_,W=I*O,V=0;V<s;V++){var j=g[y++];p[M+V]+=j*P,p[L+V]+=j*B,p[F+V]+=j*U,p[z+V]+=j*W}return Me(p,[i,a,o,s],e.dtype)},t.prototype.resizeNearestNeighbor=function(t,e,n,r){this.assertNotComplex(t,"resizeNearestNeighbor");for(var i=t.shape,o=i[0],a=i[1],s=i[2],u=i[3],l=t.dataSync(),c=new Float32Array(o*e*n*u),p=[r&&e>1?a-1:a,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,g=0;g<o;g++)for(var y=g*t.strides[0],v=0;v<e;v++)for(var b=f*v,w=y+Math.min(a-1,r?Math.round(b):Math.floor(b))*t.strides[1],x=0;x<n;x++)for(var N=d*x,S=w+Math.min(s-1,r?Math.round(N):Math.floor(N))*t.strides[2],C=0;C<u;C++){var E=l[S+C];c[m++]=E}return Te(c,[o,e,n,u],t.dtype)},t.prototype.resizeNearestNeighborBackprop=function(t,e,n){this.assertNotComplex([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,i=r[0],o=r[1],a=r[2],s=r[3],u=t.shape,l=u[1],c=u[2],p=new Float32Array(i*o*a*s),h=t.dataSync(),f=[n&&l>1?o-1:o,n&&c>1?a-1:a],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],g=f[1]/d[1],y=1/m,v=1/g,b=2*Math.ceil(y)+2,w=2*Math.ceil(v)+2,x=0;x<i;x++)for(var N=x*e.strides[0],S=0;S<o;S++)for(var C=N+S*e.strides[1],E=Math.floor(S*y),I=Math.floor(E-b/2),k=0;k<a;k++)for(var A=C+k*e.strides[2],T=Math.floor(k*v),R=Math.floor(T-w/2),D=0;D<s;D++){for(var O=0,_=0;_<b;_++){var M=_+I;if(!(M<0||M>=l)){var L=N+M*t.strides[1],F=M*m;if(S===Math.min(o-1,n?Math.round(F):Math.floor(F)))for(var z=0;z<w;z++){var P=z+R;if(!(P<0||P>=c)){var B=L+P*t.strides[2],U=P*g;k===Math.min(a-1,n?Math.round(U):Math.floor(U))&&(O+=h[B+D])}}}}p[A+D]=O}return Me(p,e.shape,e.dtype)},t.prototype.batchNormalization=function(t,e,n,r,i,o){this.assertNotComplex([t,e,n,i,o],"batchNorm");for(var a=t.dataSync(),s=e.dataSync(),u=n.dataSync(),l=i?i.dataSync():new Float32Array([1]),c=o?o.dataSync():new Float32Array([0]),p=new Float32Array(a.length),h=c.length,f=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<a.length;++w)p[w]=c[g++]+(a[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=h&&(g=0),y>=m&&(y=0),v>=f&&(v=0),b>=d&&(b=0);return Me(p,t.shape)},t.prototype.localResponseNormalization4D=function(t,e,n,r,i){this.assertNotComplex(t,"localResponseNormalization4D");var o=t.shape[3],a=o-1,s=t.dataSync(),u=v(t.shape),l=new Float32Array(u);function c(t){for(var n=t%o,r=t-n+Math.max(0,n-e),i=t-n+Math.min(n+e,a),u=0;r<=i;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-i);l[p]=f}return Me(l,t.shape)},t.prototype.LRNGrad=function(t,e,n,r,i,o,a){this.assertNotComplex(t,"LRNGrad");for(var s=t.shape[3],u=t.dataSync(),l=e.dataSync(),c=n.dataSync(),p=new Float32Array(v(t.shape)),h=v(t.shape),f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),g=f-d+Math.min(s,d+r+1),y=0,b=m;b<g;b++)y+=Math.pow(l[b],2);for(y=o*y+i,b=m;b<g;b++){var w=-2*o*a*l[b]*c[f]/y;f===b&&(w+=Math.pow(y,-a)),w*=u[f],p[b]+=w}}return Me(p,t.shape)},t.prototype.multinomial=function(t,e,n,r){this.assertNotComplex(t,"multinomial");for(var i=e?t:Ce(t),o=i.shape[0],a=i.shape[1],s=Pe([o,n],"int32"),u=s.dataSync(),l=i.dataSync(),c=0;c<o;++c){var p=c*a,h=new Float32Array(a-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=Lo(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=h.length;for(var v=0;v<h.length;v++)if(y<h[v]){u[m+g]=v;break}}}return s},t.prototype.oneHot=function(t,e,n,r){this.assertNotComplex(t,"oneHot");var i=new Float32Array(t.size*e);i.fill(r);for(var o=t.dataSync(),a=0;a<t.size;++a)o[a]>=0&&o[a]<e&&(i[a*e+o[a]]=n);return Oe(i,[t.size,e],"int32")},t.prototype.nonMaxSuppression=function(t,e,n,r,i){return this.assertNotComplex(t,"nonMaxSuppression"),Ze(t.dataSync(),e.dataSync(),n,r,i)},t.prototype.fft=function(t){return this.fftBatch(t,!1)},t.prototype.ifft=function(t){return this.fftBatch(t,!0)},t.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],i=zo(t.shape,"float32"),o=zo(t.shape,"float32"),a=ke(t).as2D(n,r),s=Ae(t).as2D(n,r),u=0;u<n;u++)for(var l=a.slice([u,0],[1,r]),c=s.slice([u,0],[1,r]),p=Ie(l,c),h=this.fftImpl(p,e).dataSync(),f=0;f<r;f++){var d=Xe(h,f);i.values[u*r+f]=d.real,o.values[u*r+f]=d.imag}return Ie(i.toTensor(),o.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(i=Ie(ke(i).div(Re(r)),Ae(i).div(Re(r)))),i}var o=t.dataSync(),a=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(o,r,e));return Ie(a.real,a.imag).as2D(t.shape[0],t.shape[1])},t.prototype.isExponentOf2=function(t){return 0==(t&t-1)},t.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=t.dataSync(),i=e/2,o=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=0;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),a=Ie(o.real,o.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),i=2;i<t.length;i+=4)n[Math.floor(i/4)]=t[i],r[Math.floor(i/4)]=t[i+1];return{real:n,imag:r}}(r),u=Ie(s.real,s.imag).as1D();a=this.fftRadix2(a,i,n),u=this.fftRadix2(u,i,n);var l=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),i=0;i<Math.ceil(t/2);i++){var o=(e?2:-2)*Math.PI*(i/t);n[i]=Math.cos(o),r[i]=Math.sin(o)}return{real:n,imag:r}}(e,n),c=Ie(l.real,l.imag).mul(u),p=a.add(c),h=a.sub(c),f=ke(p).concat(ke(h)),d=Ae(p).concat(Ae(h));return Ie(f,d).as1D()},t.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),i=0;i<e;i++){for(var o=0,a=0,s=0;s<e;s++){var u=Je(i*s,e,n),l=Xe(t,s);o+=l.real*u.real-l.imag*u.imag,a+=l.real*u.imag+l.imag*u.real}n&&(o/=e,a/=e),Ye(r,o,a,i)}return r},t.prototype.depthToSpace=function(t,e,n){d("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),d(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],i=t.shape[1],o=t.shape[2],a=t.shape[3],s=i*e,u=o*e,l=a/(e*e),c=t.dataSync(),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var m=0;m<s;++m)for(var g=Math.floor(m/e),y=m%e,v=0;v<u;++v)for(var b=Math.floor(v/e),w=(y*e+v%e)*l,x=0;x<l;++x){var N=x+w+a*(b+o*(g+i*f));p[h++]=c[N]}return Me(p,[r,s,u,l])},t.prototype.broadcastedBinaryOp=function(t,e,n,r){var i=un(t.shape,e.shape),o=zo(i,n),a=t.dataSync(),s=e.dataSync(),u=an(t.shape,i),l=an(e.shape,i),c=o.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(a[p%a.length],s[p%s.length]);else{var h=t.bufferSync(),f=e.bufferSync(),d=function(n){var i=o.indexToLoc(n),p=i.slice(-t.rank);u.forEach(function(t){return p[t]=0});var d=h.locToIndex(p),m=i.slice(-e.rank);l.forEach(function(t){return m[t]=0});var g=f.locToIndex(m);c[n]=r(a[d],s[g])};for(p=0;p<c.length;++p)d(p)}return o.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=un(t.shape,e.shape),i=zo(r,"float32"),o=zo(r,"float32"),a=t.dataSync(),s=e.dataSync(),u=an(t.shape,r),l=an(e.shape,r),c=i.values,p=o.values;if(u.length+l.length===0)for(var h=0;h<c.length;h++){var f=h%a.length,d=h%s.length,m=n(a[2*f],a[2*f+1],s[2*d],s[2*d+1]);c[h]=m.real,p[h]=m.imag}else{var g=this.data.get(t.dataId).complexTensors.real.bufferSync(),y=this.data.get(e.dataId).complexTensors.real.bufferSync(),v=function(r){var o=i.indexToLoc(r),h=o.slice(-t.rank);u.forEach(function(t){return h[t]=0});var f=g.locToIndex(h),d=o.slice(-e.rank);l.forEach(function(t){return d[t]=0});var m=y.locToIndex(d),v=n(a[2*f],a[2*f+1],s[2*m],s[2*m+1]);c[r]=v.real,p[r]=v.imag};for(h=0;h<c.length;h++)v(h)}return this.complex(i.toTensor(),o.toTensor())},t.prototype.split=function(t,e,n){return tn(t,e,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.cropAndResize=function(t,e,n,r,i,o){for(var a=t.shape,s=a[0],u=a[1],l=a[2],c=a[3],p=e.shape[0],h=r[0],f=r[1],d=zo([p,h,f,c],t.dtype),m=e.dataSync(),g=n.dataSync(),y=t.dataSync(),v=t.strides,b=d.strides,w=0;w<p;w++){var x=4*w,N=m[x],S=m[x+1],C=m[x+2],E=m[x+3],I=g[w];if(!(I>=s))for(var k=h>1?(C-N)*(u-1)/(h-1):0,A=f>1?(E-S)*(l-1)/(f-1):0,T=0;T<h;T++){var R=h>1?N*(u-1)+T*k:.5*(N+C)*(u-1);if(R<0||R>u-1)for(var D=0;D<f;D++)for(var O=0;O<c;O++){var _=O+D*b[2]+T*b[1]+w*b[0];d.values[_]=o}else if("bilinear"===i){var M=Math.floor(R),L=Math.ceil(R),F=R-M;for(D=0;D<f;D++)if((G=f>1?S*(l-1)+D*A:.5*(S+E)*(l-1))<0||G>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=o;else{var z=Math.floor(G),P=Math.ceil(G),B=G-z;for(O=0;O<c;O++){var U=y[_=O+z*v[2]+M*v[1]+I*v[0]],W=y[_=O+P*v[2]+M*v[1]+I*v[0]],V=y[_=O+z*v[2]+L*v[1]+I*v[0]],j=U+(W-U)*B,q=V+(y[_=O+P*v[2]+L*v[1]+I*v[0]]-V)*B;_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=j+(q-j)*F}}}else for(D=0;D<f;++D){var G;if((G=f>1?S*(l-1)+D*A:.5*(S+E)*(l-1))<0||G>l-1)for(O=0;O<c;O++)_=O+D*b[2]+T*b[1]+w*b[0],d.values[_]=o;else{var H=Math.round(G),K=Math.round(R);for(O=0;O<c;O++){var $=O+H*v[2]+K*v[1]+I*v[0],X=O+D*b[2]+T*b[1]+w*b[0];d.values[X]=y[$]}}}}}return d.toTensor()},t.prototype.sparseToDense=function(t,e,n,r){var i=fe(0,t,n),o=i.sliceRank,a=i.numUpdates,s=i.sliceSize,u=i.strides,l=i.outputSize;return this.scatter(t,e,n,l,s,a,o,u,r,!1)},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],i=le(t,e),o=i[0],a=i[1],s=i[2],u=i[3];if(0===a)return Te([],o,t.dtype);for(var l=new it([a,s],t.dtype),c=e.dataSync(),p=t.dataSync(),h=0;h<a;h++){for(var f=[],d=0,m=0;m<r;m++){var g=c[h*r+m];d+=g*u[m],f.push(g)}if(d<0||d>=t.size/s)throw new Error("Invalid indices: "+f+" does not index into "+t.shape);for(var y=0;y<s;y++)l.values[h*s+y]=p[d*s+y]}return l.toTensor().reshape(o)},t.prototype.scatterND=function(t,e,n){var 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Please verify this URL points to the model JSON of the model to load.");o.label=2;case 2:return o.trys.push([2,4,,5]),[4,t.json()];case 3:return e=o.sent(),[3,5];case 4:throw o.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(r=e.modelTopology,i=e.weightsManifest,null==r&&null==i)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==i?[3,7]:[4,this.loadWeights(i)];case 6:u=o.sent(),a=u[0],s=u[1],o.label=7;case 7:return[2,{modelTopology:r,weightSpecs:a,weightData:s}]}})})},t.prototype.loadWeights=function(t){return i(this,void 0,void 0,function(){var e,n,r,i,a,s,u,l,c,p,h;return o(this,function(o){switch(o.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?");return[t.substring(0,e)+"/",n>e?t.substring(n):""]}(e),r=n[0],i=n[1],a=this.weightPathPrefix||r,s=[],u=0,l=t;u<l.length;u++)c=l[u],s.push.apply(s,c.weights);return p=[],t.forEach(function(t){t.paths.forEach(function(t){p.push(a+t+i)})}),[4,wc(p,{requestInit:this.requestInit,fetchFunc:this.getFetchFunc(),onProgress:this.onProgress})];case 1:return h=o.sent(),[2,[s,Wl(h)]]}})})},t.prototype.getFetchFunc=function(){return this.fetchFunc},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Sc(t){return null!=t.match(Nc.URL_SCHEME_REGEX)}var Cc=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every(function(t){return Sc(t)}):Sc(t))?Ec(t,{onProgress:e}):null};function Ec(t,e){return new Nc(t,e)}ql.registerSaveRouter(Cc),ql.registerLoadRouter(Cc);var Ic=function(){function t(t,e,n){this.modelTopology=t,this.weightSpecs=e,this.weightData=n}return t.prototype.load=function(){return i(this,void 0,void 0,function(){var t;return 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ql.registerLoadRouter(t)},registerSaveRouter:function(t){return ql.registerSaveRouter(t)},weightsLoaderFactory:xc,withSaveHandler:function(t){return new kc(t)},copyModel:function(t,e){return i(this,void 0,void 0,function(){return o(this,function(n){switch(n.label){case 0:return[4,$l(t,e,!1)];case 1:return[2,n.sent()]}})})},listModels:function(){return i(this,void 0,void 0,function(){var t,e,n,r,i,a,s;return o(this,function(o){switch(o.label){case 0:t=Hl.getSchemes(),e={},n=0,r=t,o.label=1;case 1:return n<r.length?(i=r[n],[4,Hl.getManager(i).listModels()]):[3,4];case 2:for(s in a=o.sent())e[i+Gl+s]=a[s];o.label=3;case 3:return n++,[3,1];case 4:return[2,e]}})})},moveModel:function(t,e){return i(this,void 0,void 0,function(){return o(this,function(n){switch(n.label){case 0:return[4,$l(t,e,!0)];case 1:return[2,n.sent()]}})})},removeModel:function(t){return i(this,void 0,void 0,function(){var e;return o(this,function(n){switch(n.label){case 0:return e=Kl(t),[4,Hl.getManager(e.scheme).removeModel(e.path)];case 1:return[2,n.sent()]}})})}});var Tc=Se({confusionMatrix_:function(t,e,n){var r=xe(t,"labels","confusionMatrix"),i=xe(e,"predictions","confusionMatrix");d(null==n||n>0&&Number.isInteger(n),function(){return"If provided, numClasses must be a positive integer, but got "+n}),d(1===r.rank,function(){return"Expected the rank of labels to be 1, but got "+r.rank}),d(1===i.rank,function(){return"Expected the rank of predictions to be 1, but got "+i.rank}),d(r.shape[0]===i.shape[0],function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+i.shape[0]+". 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qc=function(t){function e(e,n){void 0===n&&(n=.1);var r=t.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads={},r.c=Gt(Re(-e)),r.epsilon=Gt(Re(Bt.get("EPSILON"))),r}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=function(n){var i=Bt.engine.registeredVariables[n];null==r.accumulatedGrads[n]&&qt(function(){e.accumulatedGrads[n]=Be(i.shape,e.initialAccumulatorValue).variable(!1)});var o=t[n],a=r.accumulatedGrads[n];qt(function(){var t=a.add(o.square());e.accumulatedGrads[n].assign(t);var r=e.c.mul(o.div(t.add(e.epsilon).sqrt())).add(i);i.assign(r)})},r=this;for(var i in t)n(i)},e.prototype.dispose=function(){var t=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(e){return 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Ws(t,[0,0,0,e],[t.shape[0],t.shape[1],t.shape[2],n]);default:throw new vp("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function vh(t,e,n,r){return qt(function(){switch(t.rank){case 1:return Ps(t,e,n);case 2:switch(r){case 1:return gh(t,e,n);case 2:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}case 3:switch(r){case 1:return gh(t,e,n);case 2:return Us(t,[0,e,0],[t.shape[0],n,t.shape[2]]);case 3:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}case 4:switch(r){case 1:return gh(t,e,n);case 2:return Ws(t,[0,e,0,0],[t.shape[0],n,t.shape[2],t.shape[3]]);case 3:return Ws(t,[0,0,e,0],[t.shape[0],t.shape[1],n,t.shape[3]]);case 4:return yh(t,e,n);default:throw new vp("The axis is not within the rank of the tensor "+r)}default:throw new vp("sliceAlongLastAxis() received an unsupported tensor rank: "+t.rank)}})}function bh(t,e){var n;return void 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n=t.shape.slice(),r=n.pop();t=t.reshape([-1,r]);var i=e.shape.slice(),o=i.pop(),a=i.pop(),s=i.concat([o]),u=Array.from({length:e.rank},function(t,n){return 0===n?e.rank-2:n<=e.rank-2?n-1:n});e=e.transpose(u).reshape([a,-1]);var l=n.concat(s);return Cs(t,e).reshape(l)}function Ch(t,e,n){return qt(function(){return e=Array.isArray(e)?De(e,"int32"):e.toInt(),Xu(t,e,n)})}function Eh(t){return Iu(t,t)}function Ih(t,e,n){return qt(function(){if(null==n&&(n="channelsLast"),Qp(n),1!==e.rank&&e.rank!==t.rank)throw new vp("Unexpected bias dimensions: "+e.rank+"; expected it to be 1 or "+t.rank);var r,i=e.shape;if(5===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1,1,1])):t.add(e.reshape([1,i[3],i[0],i[1],i[2]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,1,1,i[0]])):t.add(e.reshape([1].concat(i))));else if(4===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1,1])):t.add(e.reshape([1,i[2],i[0],i[1]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,1,i[0]])):t.add(e.reshape([1].concat(i))));else if(3===t.rank)"channelsFirst"===n?r=1===i.length?t.add(e.reshape([1,i[0],1])):t.add(e.reshape([1,i[1],i[0]])):"channelsLast"===n&&(r=1===i.length?t.add(e.reshape([1,1,i[0]])):t.add(e.reshape([1].concat(i))));else{if(!(t.rank<3))throw new vp("Unsupported input rank by biasAdd: "+t.rank);r=t.add(e)}return r})}function kh(t,e,n,r){return qt(function(){if(null!=n&&!X.arraysEqual(t.shape,n))throw new bp("Non-default noise shape is not implemented yet: "+JSON.stringify(n));if(null!=r)throw new bp("seed is not implemented for dropout yet.");var i=Va(hu(Da(e),ea(t.shape,0,1,"float32")));return i=Eu(gu(mp(1),Du(mp(1),e)),i),Eu(t,i)})}function Ah(t,e,n){return void 0===n&&(n=!1),n?t():e()}var Th=["fanIn","fanOut","fanAvg"],Rh=["normal","uniform"];var Dh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.fromConfigUsesCustomObjects=function(){return!1},e.prototype.getConfig=function(){return{}},e}(Fc.Serializable),Oh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return Pe(t,e)},e.className="Zeros",e}(Dh);Fc.registerClass(Oh);var _h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return ze(t,e)},e.className="Ones",e}(Dh);Fc.registerClass(_h);var Mh=function(t){function e(e){var n=t.call(this)||this;if("object"!=typeof e)throw new vp("Expected argument of type ConstantConfig but got "+e);if(void 0===e.value)throw new vp("config must have value set but got "+e);return n.value=e.value,n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){return Eu(Re(n.value),ze(t,e))})},e.prototype.getConfig=function(){return{value:this.value}},e.className="Constant",e}(Dh);Fc.registerClass(Mh);var Lh=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=e.minval||n.DEFAULT_MINVAL,n.maxval=e.maxval||n.DEFAULT_MAXVAL,n.seed=e.seed,n}return rp(e,t),e.prototype.apply=function(t,e){return ea(t,this.minval,this.maxval,e)},e.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},e.className="RandomUniform",e}(Dh);Fc.registerClass(Lh);var Fh=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return rp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new bp("randomNormal does not support dType "+e+".");return Nh(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="RandomNormal",e}(Dh);Fc.registerClass(Fh);var zh=function(t){function e(e){var n=t.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=e.mean||n.DEFAULT_MEAN,n.stddev=e.stddev||n.DEFAULT_STDDEV,n.seed=e.seed,n}return rp(e,t),e.prototype.apply=function(t,e){if("float32"!==(e=e||"float32")&&"int32"!==e)throw new bp("truncatedNormal does not support dType "+e+".");return sa(t,this.mean,this.stddev,e,this.seed)},e.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},e.className="TruncatedNormal",e}(Dh);Fc.registerClass(zh);var Ph=function(t){function e(e){var n=t.call(this)||this;return n.gain=null!=e.gain?Re(e.gain):mp(1),n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){if(2!==t.length||t[0]!==t[1])throw new vp("Identity matrix initializer can only be used for 2D square matrices.");return Eu(n.gain,Go(t[0]))})},e.prototype.getConfig=function(){return{gain:this.gain.dataSync()[0]}},e.className="Identity",e}(Dh);Fc.registerClass(Ph);var Bh=function(t){function e(e){var n=t.call(this)||this;if(e.scale<0)throw new vp("scale must be a positive float. 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ea(t,-s,s,e)},e.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},e.className="VarianceScaling",e}(Dh);Fc.registerClass(Bh);var Uh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="GlorotUniform",e}(Bh);Fc.registerClass(Uh);var Wh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="GlorotNormal",e}(Bh);Fc.registerClass(Wh);var Vh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="HeNormal",e}(Bh);Fc.registerClass(Vh);var jh=function(t){function e(e){return t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="HeUniform",e}(Bh);Fc.registerClass(jh);var qh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="LeCunNormal",e}(Bh);Fc.registerClass(qh);var Gh=function(t){function e(e){return t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})||this}return rp(e,t),e.prototype.getClassName=function(){return Bh.className},e.className="LeCunNormal",e}(Bh);Fc.registerClass(Gh);var Hh=function(t){function e(e){var n=t.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==e.gain?n.DEFAULT_GAIN:e.gain,n.seed=e.seed,null!=n.seed)throw new bp("Random seed is not implemented for Orthogonal Initializer yet.");return n}return rp(e,t),e.prototype.apply=function(t,e){var n=this;return qt(function(){if(2!==t.length)throw new bp("The Orthogonal Initializer does not support non-2D shapes yet.");t[0]*t[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more than 2000 ("+t[0]*t[1]+") elements: Slowness may result.");var e=Nh(t[0]>t[1]?[t[1],t[0]]:t,0,1,"float32"),r=Sl.gramSchmidt(e);return t[0]>t[1]&&(r=r.transpose()),Eu(mp(n.gain),r)})},e.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},e.className="Orthogonal",e}(Dh);Fc.registerClass(Hh);var Kh={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function $h(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"initializer")}function Xh(t){return Tp(t)}function Yh(t){if("string"==typeof t){var e=t in Kh?Kh[t]:t;if("GlorotNormal"===e)return new Wh;if("GlorotUniform"===e)return new Uh;if("HeNormal"===e)return new Vh;if("HeUniform"===e)return new jh;if("LeCunNormal"===e)return new qh;if("LeCunUniform"===e)return new Gh;var n={};return n.className=e,n.config={},$h(n)}return t instanceof Dh?t:$h(t)}var Jh=Object.freeze({zeros:function(){return new Oh},ones:function(){return new _h},constant:function(t){return new Mh(t)},randomUniform:function(t){return new Lh(t)},randomNormal:function(t){return new Fh(t)},truncatedNormal:function(t){return new zh(t)},identity:function(t){return new Ph(t)},varianceScaling:function(t){return new Bh(t)},glorotUniform:function(t){return new Uh(t)},glorotNormal:function(t){return new Wh(t)},heNormal:function(t){return new Vh(t)},heUniform:function(t){return new jh(t)},leCunNormal:function(t){return new qh(t)},leCunUniform:function(t){return new Gh(t)},orthogonal:function(t){return new Hh(t)}});function Zh(t){return Array.isArray(t)&&Array.isArray(t[0])}function Qh(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function tf(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new vp("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function ef(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new vp("Expected exactly 1 Shape; got "+t.length)}return t}function nf(t){for(var e=0,n=0,r=t;n<r.length;n++){var i=r[n];0===i.shape.length?e+=1:e+=i.shape.reduce(function(t,e){return t*e})}return e}var rf="Variable",of=function(){function t(t,e,n,r,i){void 0===e&&(e="float32"),void 0===n&&(n=rf),void 0===r&&(r=!0),void 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this.trainable_},set:function(t){this.trainable_=t,this.val.trainable=t},enumerable:!0,configurable:!0}),t}();function af(t){return t.map(function(t){return t.read()})}function sf(t){t.forEach(function(t){t[0].write(t[1])})}var uf=function(t){this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}},lf=function(t,e,n,r,i,o,a){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=a,this.id=cp(),null!=o&&(this.originalName=ih(o),this.name=oh(this.originalName)),this.rank=e.length},cf=0,pf=function(){function t(t,e){this.callArgs=e,this.id=cf++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var n=0,r=t.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return t.prototype.getConfig=function(){for(var t=[],e=0,n=this.inboundLayers;e<n.length;e++){var r=n[e];null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},t}(),hf=0,ff=function(t){function e(e){var n=t.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=hf++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=e.name;if(!r){var i=n.getClassName();r=Ip(i)+"_"+hp(i)}if(n.name=r,n.trainable_=null==e.trainable||e.trainable,n.updatable=null==e.updatable||e.updatable,null!=e.inputShape||null!=e.batchInputShape){var o=void 0;if(null!=e.batchInputShape)o=e.batchInputShape;else if(null!=e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),o=[a].concat(e.inputShape)}n.batchInputShape=o;var s=e.dtype;null==s&&(s=e.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=e.weights?n.initialWeights=e.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return rp(e,t),e.nodeKey=function(t,e){return t.name+"_ib-"+e.toString()},e.prototype.getNodeAtIndex=function(t,e){if(0===this.inboundNodes.length)throw new yp("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new vp("Asked to get "+e+" at node "+t+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[t]},e.prototype.getInputAt=function(t){return Cp(this.getNodeAtIndex(t,"input").inputTensors)},e.prototype.getOutputAt=function(t){return Cp(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(e.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new gp("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new gp("Layer "+this.name+" is not connected, no input to return.");return Cp(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new gp("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new gp("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Cp(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),e.prototype.calculateLosses=function(){return this.losses.map(function(t){return t()})},Object.defineProperty(e.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"built",{get:function(){return this._built},set:function(t){this._built=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this._trainableWeights.forEach(function(e){e.trainable=t}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights:[]},set:function(t){this._trainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable_?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(t){this._nonTrainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},e.prototype.assertInputCompatibility=function(t){if(t=Ep(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=Ep(this.inputSpec);if(t.length!==e.length)throw new vp("Layer "+this.name+" expects "+e.length+" inputs, but it received "+t.length+" input tensors. Input received: "+t);for(var n=0;n<t.length;n++){var r=t[n],i=e[n];if(null!=i){var o=r.rank;if(null!=i.ndim&&o!==i.ndim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+o);if(null!=i.maxNDim&&o>i.maxNDim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+o);if(null!=i.minNDim&&o<i.minNDim)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+o+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new vp("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var a=r.shape;for(var s in i.axes){var u=Number(s),l=i.axes[s],c=u>=0?a[u]:a[a.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+a+".")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new vp("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape=${xShape}.")}}}}},e.prototype.call=function(t,e){return t},e.prototype.invokeCallHook=function(t,e){null!=this._callHook&&this._callHook(t,e)},e.prototype.setCallHook=function(t){this._callHook=t},e.prototype.clearCallHook=function(){this._callHook=null},e.prototype.apply=function(t,e){var n=this;e=e||{},this.assertNotDisposed();for(var r=Ep(t),i=!0,o=0,a=r;o<a.length;o++)if(!(a[o]instanceof lf)){i=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof lf){s=!1;break}if(i===s)throw new vp("Arguments to apply() must be all SymbolicTensors or all Tensors");return rh(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],o=0,a=Ep(t);o<a.length;o++){var u=a[o];i.push(u.shape)}n.build(Cp(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(t),s){for(var l=[],c=0,p=Ep(m=n.call(t,e));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),l.push(h)}if(m=Cp(l),null!=n.activityRegularizer)throw new bp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var f=function(t){for(var e=[],n=0,r=t=Ep(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return Cp(e)}(t),d=n.computeOutputShape(f),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(t)?f[0]:f),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,i){return new lf(g,r,n,Ep(t),e,n.name,i)}):new lf(g,d,n,Ep(t),e,n.name),n.addInboundNode(t,m,null,null,f,d,e),n._refCount++,null!=n.activityRegularizer)throw new bp("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},e.prototype.warnOnIncompatibleInputShape=function(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var e=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn("The shape of the input tensor ("+JSON.stringify(t)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(e.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new gp("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var t=[],e=0,n=this.inboundNodes;e<n.length;e++){var r=n[e],i=JSON.stringify(r.outputShapes);-1===t.indexOf(i)&&t.push(i)}if(1===t.length){var o=this.inboundNodes[0].outputShapes;return Array.isArray(o)&&Array.isArray(o[0])&&1===o.length?o[0]:o}throw new gp("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),e.prototype.countParams=function(){if(!this.built)throw new yp("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return nf(this.weights)},e.prototype.build=function(t){this.built=!0},e.prototype.getWeights=function(t){return void 0===t&&(t=!1),af(t?this.trainableWeights:this.weights)},e.prototype.setWeights=function(t){var e=this;qt(function(){var n=e.weights;if(n.length!==t.length)throw new vp('You called setWeights(weights) on layer "'+e.name+'" with a weight list of length '+t.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+t+"...");if(0!==n.length){for(var r=[],i=af(n),o=0;o<i.length;++o){var a=i[o],s=n[o],u=t[o];if(!X.arraysEqual(a.shape,u.shape))throw new vp("Layer weight shape "+a.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}sf(r)}})},e.prototype.addWeight=function(t,e,n,r,i,o,a){if(-1!==this._addedWeightNames.indexOf(t))throw new vp("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=Yh("zeros"));var s=r.apply(e,n),u=new of(s,n,t,o,a);return s.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==o&&(o=!0),o?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},e.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},e.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=Ep(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},e.prototype.computeOutputShape=function(t){return t},e.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},e.prototype.addInboundNode=function(t,e,n,r,i,o,a){void 0===a&&(a=null);var s=Ep(t);e=Ep(e),n=Ep(n),r=Ep(r),i=Qh(i),o=Qh(o);for(var u=[],l=[],c=[],p=0,h=s;p<h.length;p++){var f=h[p];u.push(f.sourceLayer),l.push(f.nodeIndex),c.push(f.tensorIndex)}new pf({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:s,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:o},a);for(var d=0;d<e.length;d++)e[d].sourceLayer=this,e[d].nodeIndex=this.inboundNodes.length-1,e[d].tensorIndex=d},e.prototype.getConfig=function(){var t={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(t.batchInputShape=this.batchInputShape),null!=this.dtype&&(t.dtype=this.dtype),t},e.prototype.disposeWeights=function(){return this.weights.forEach(function(t){return t.dispose()}),this.weights.length},e.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},e.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}},e}(Fc.Serializable);var df,mf=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:hp("input").toString()})||this;if(null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new vp("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(null==r){if(null==e.inputShape)throw new vp("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new vp("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var o=new lf(n.dtype,n.batchInputShape,n,[],{},n.name);return o.nodeIndex=0,o.tensorIndex=0,new pf({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return rp(e,t),e.prototype.apply=function(t,e){throw new vp("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},e.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},e.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},e.className="InputLayer",e}(ff);function gf(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=t.batchShape&&null!=t.shape)throw new vp("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));var n=t.dtype;return null==n&&(n="float32"),new mf({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function yf(t){return ap(this,void 0,void 0,function(){var e,n,r,i,o,a,s,u;return sp(this,function(l){switch(l.label){case 0:if(null==t)return[2];for(i in e=[],n=[],r=[],t)"number"!=typeof(o=t[i])&&(a=o,e.push(a.data()),n.push(i),r.push(a));return[4,Promise.all(e)];case 1:for(s=l.sent(),u=0;u<s.length;++u)t[n[u]]=s[u][0];return Ht(r),[2]}})})}function vf(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}Fc.registerClass(mf),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(df||(df={}));var bf=function(){function t(){this.validationData=null}return t.prototype.setParams=function(t){this.params=t},t.prototype.onEpochBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onBatchBegin=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.onTrainEnd=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return[2]})})},t.prototype.setModel=function(t){},t}(),wf=function(){function t(t,e){void 0===e&&(e=10),null==t&&(t=[]),this.callbacks=t,this.queueLength=e}return t.prototype.append=function(t){this.callbacks.push(t)},t.prototype.setParams=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setParams(t)},t.prototype.setModel=function(t){for(var e=0,n=this.callbacks;e<n.length;e++)n[e].setModel(t)},t.prototype.onEpochBegin=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchBegin=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){var n,r;return sp(this,function(i){switch(i.label){case 0:null==e&&(e={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(t,e)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},t.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){var e,n;return sp(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainBegin(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t.prototype.onTrainEnd=function(t){return ap(this,void 0,void 0,function(){var e,n;return sp(this,function(r){switch(r.label){case 0:null==t&&(t={}),e=0,n=this.callbacks,r.label=1;case 1:return e<n.length?[4,n[e].onTrainEnd(t)]:[3,4];case 2:r.sent(),r.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},t}(),xf=function(){function t(t){this.yieldEvery=t,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=X.now()}return t.prototype.maybeYieldOnBatch=function(e){return ap(this,void 0,void 0,function(){var e,n;return sp(this,function(r){switch(r.label){case 0:return"auto"!==this.yieldEvery?[3,5]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,2]:(e=X.now(),[4,Fl()]));case 1:return r.sent(),this.batchCount>t.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(e-this.batchStartMillis),this.batchDurationsMillis.length>=t.DECISION_BATCH_COUNT&&(n=this.batchDurationsMillis.reduce(function(t,e){return t+e})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(t.THRESHOLD_MILLIS/n),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=X.now(),this.lastYieldBatchCount=this.batchCount,[3,4];case 2:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,Fl()]:[3,4];case 3:r.sent(),this.lastYieldBatchCount=this.batchCount,r.label=4;case 4:return[3,7];case 5:return"batch"!==this.yieldEvery?[3,7]:[4,Fl()];case 6:r.sent(),r.label=7;case 7:return[2]}})})},t.prototype.maybeYieldOnEpoch=function(){return ap(this,void 0,void 0,function(){return sp(this,function(t){switch(t.label){case 0:return"epoch"!==this.yieldEvery?[3,2]:[4,Fl()];case 1:t.sent(),t.label=2;case 2:return[2]}})})},t.SKIP_FIRST_BATCHES=1,t.DECISION_BATCH_COUNT=2,t.THRESHOLD_MILLIS=16,t}(),Nf=function(t){function e(e){var n=t.call(this)||this;return n.yieldEvery=e||"auto",n}return rp(e,t),e.prototype.onTrainBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return this.autoYielder=new xf(this.yieldEvery),[2]})})},e.prototype.onEpochBegin=function(t){return ap(this,void 0,void 0,function(){return sp(this,function(t){return this.seen=0,this.totals={},[2]})})},e.prototype.onBatchEnd=function(t,e){return ap(this,void 0,void 0,function(){var t,n,r,i,o=this;return sp(this,function(a){switch(a.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(e)];case 1:for(i in a.sent(),null==e&&(e={}),t=null==e.size?0:e.size,this.seen+=t,n=function(n){var i=e[n];if("number"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*t;else{var a=void 0;n in r.totals?a=r.totals[n]:r.totals[n]=mp(0),r.totals[n]=qt(function(){return hu(o.totals[n],Eu(i,mp(t)))}),null!=a&&a.dispose()}},r=this,e)n(i);return[2]}})})},e.prototype.onEpochEnd=function(t,e){return ap(this,void 0,void 0,function(){var t,n,r,i,o,a=this;return sp(this,function(s){switch(s.label){case 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},e.prototype.evaluate=function(t,e,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;Cd(r);var i=this.standardizeUserData(t,e,!0,r);try{var o=i[0].concat(i[1]);this.makeTestFunction();var a=this.testFunction;return Cp(this.testLoop(a,o,r,n.verbose,n.steps))}finally{Rd(i[0],t),Rd(i[1],e)}},e.prototype.evaluateDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return this.makeTestFunction(),[2,function(t,e,n){return ap(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p,h;return sp(this,function(f){switch(f.label){case 0:if(r=null!=(n=n||{}).batches,i=t.testFunction,o=[],n.verbose>0)throw new bp("Verbose mode is not implemented yet.");return X.assert(!r||n.batches>0&&Number.isInteger(n.batches),function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)}),function(t){return"function"==typeof t.next}(e)?(s=e,[3,3]):[3,1];case 1:return[4,e.iterator()];case 2:s=f.sent(),f.label=3;case 3:a=s,u=0,l=0,c=function(){var e,s,c,p,h,f;return sp(this,function(d){switch(d.label){case 0:return[4,a.next()];case 1:if((e=d.sent()).value){if(s=wd(t,e.value),c=qt(function(){return i(s)}),Ht(s),0===l)for(f=0;f<c.length;++f)o.push(mp(0));for(p=s[0].shape[0],h=function(t){var e=c[t],n=o[t];o[t]=qt(function(){return hu(o[t],Eu(mp(p),e))}),l>0&&Ht(n)},f=0;f<c.length;++f)h(f);Ht(c),u+=p,++l}return e.done?(r&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return!r||l<n.batches?[5,c()]:[3,6];case 5:return"break"===f.sent()?[3,6]:[3,4];case 6:for(p=function(t){var e=o[t];o[t]=qt(function(){return gu(o[t],mp(u))}),Ht(e)},h=0;h<o.length;++h)p(h);return[2,Cp(o)]}})})}(this,t,e)]})})},e.prototype.checkNumSamples=function(t,e,n,r){var i;if(void 0===r&&(r="steps"),null!=n){if(i=null,null!=e)throw new vp("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new vp("Either the input data should have a defined shape, or "+r+" shoud be specified.");i=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return i},e.prototype.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new vp("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],i=this.retrieveSymbolicTensors(r),o=new fd;if(t instanceof ut&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new vp("The number of inputs provided ("+t.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var a=0;a<this.inputs.length;++a)o.add(this.inputs[a],t[a])}else for(var s=0,u=this.inputs;s<u.length;s++){var l=u[s],c=t[l.name];if(null==c)throw new vp("No value is provided for the model's input "+l.name);o.add(l,c)}var p=gd(i,o);return n?p:p[0]},e.prototype.retrieveSymbolicTensors=function(t){for(var e=xp(null,t.length),n=t.length,r=0,i=this.layers;r<i.length;r++){for(var o=i[r],a=Array.isArray(o.output)?o.output:[o.output],s=a.map(function(t){return t.name}),u=0;u<t.length;++u){var l=s.indexOf(t[u]);if(-1!==l&&(e[u]=a[l],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw e.forEach(function(e,n){null==e&&c.push(t[n])}),new vp("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return e},e.prototype.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),qt(function(){var i=r.checkNumSamples(t);if(n)throw new bp("Verbose predictLoop() is not implemented yet.");for(var o=kd(i,e),a=r.outputs.map(function(t){return[]}),s=function(e){qt(function(){var n=o[e][0],i=o[e][1],a=Ed(t,n,i),s=[];if(Array.isArray(a))for(var u=0;u<a.length;++u)s.push({key:r.inputs[u],value:a[u]});else s.push({key:r.inputs[0],value:a});var l=new fd(s);return gd(r.outputs,l)}).forEach(function(t,e){return a[e].push(t)})},u=0;u<o.length;++u)s(u);return Cp(a.map(function(t){return xo(t,0)}))})},e.prototype.predict=function(t,e){void 0===e&&(e={});var n=Td(t);Md(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return Cd(r),this.predictLoop(n,r)}finally{Rd(n,t)}},e.prototype.predictOnBatch=function(t){return Md(t,this.inputNames,this.feedInputShapes,!0),this.predictLoop(t,t.shape[0])},e.prototype.standardizeUserData=function(t,e,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new yp("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var a=this.feedOutputShapes[o];this.feedLossFns[o]===Pf?i.push(a.slice(0,a.length-1).concat([1])):i.push(a)}if(function(t,e,n){var r=Op(t.map(function(t){return t.shape[0]}));r.sort();var i=Op(e.map(function(t){return t.shape[0]}));if(i.sort(),r.length>1)throw new vp("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(t){return t.shape})));if(i.length>1)throw new vp("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(t){return t.shape})));if(r.length>0&&i.length>0&&!X.arraysEqual(r,i))throw new vp("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+i[0]+" target sample(s).")}(t=_d(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=_d(e,this.feedOutputNames,i,!1,"target")),function(t,e,n){for(var r=[Tf,Bf,zf],i=0;i<t.length;++i){var o=t[i],a=e[i],s=n[i];if(null!=a){if(a===zf&&1===o.shape[o.shape.length-1])throw new vp("You are passing a target array of shape "+o.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(a))for(var u=o.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new vp("A target Tensor with shape "+o.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new vp("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e,null]},e.prototype.testLoop=function(t,e,n,r,i){var o=this;return void 0===r&&(r=0),qt(function(){var a=o.checkNumSamples(e,n,i,"steps"),s=[];if(r>0)throw new bp("Verbose mode is not implemented yet.");if(null!=i)throw new bp("steps mode in testLoop() is not implemented yet");for(var u=kd(a,n),l=De(fh(0,a)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=gh(l,p,h-p),d=Id(e,f),m=t(d);if(0===c)for(var g=0;g<m.length;++g)s.push(mp(0));for(g=0;g<m.length;++g){var y=m[g];s[g]=hu(s[g],Eu(mp(h-p),y))}}for(g=0;g<s.length;++g)s[g]=gu(s[g],mp(a));return s})},e.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;Sp(t,r)>1&&(i+="_"+Sp(t.slice(0,n),r)),e.push(i)}return e},e.prototype.makeTrainFunction=function(){var t=this;return function(e){var n=e.slice(0,t.inputs.length),r=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),i=[],o=t.collectedTrainableWeights.map(function(t){return t.read()});return[t.optimizer.minimize(function(){for(var e=[],o=0;o<t.inputs.length;++o)e.push({key:t.inputs[o],value:n[o]});var a,s=new fd(e),u=gd(t.outputs,s,{training:!0});for(o=0;o<t.lossFunctions.length;++o){var l=(0,t.lossFunctions[o])(r[o],u[o]);Xs(l),a=0===o?l:hu(a,l)}for(o=0;o<t.metricsTensors.length;++o){var c=t.metricsTensors[o][0],p=t.metricsTensors[o][1],h=Xs(c(r[p],u[p]));Gt(h),i.push(h)}return a=Xs(a),t.calculateLosses().forEach(function(t){a=hu(a,t)}),a},!0,o)].concat(i)}},e.prototype.makeTestFunction=function(){var t=this;this.testFunction=function(e){return qt(function(){for(var n,r=[],i=e.slice(0,t.inputs.length),o=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),a=[],s=0;s<t.inputs.length;++s)a.push({key:t.inputs[s],value:i[s]});var u=new fd(a),l=gd(t.outputs,u);for(s=0;s<t.lossFunctions.length;++s){var c=t.lossFunctions[s],p=Xs(c(o[s],l[s]));n=0===s?p:hu(n,p),r.push(n)}for(s=0;s<t.metricsTensors.length;++s){var h=t.metricsTensors[s][0],f=t.metricsTensors[s][1],d=Xs(h(o[f],l[f]));r.push(d)}return r})}},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),ap(this,void 0,void 0,function(){return sp(this,function(r){return[2,Ad(this,t,e,n)]})})},e.prototype.fitDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return[2,Nd(this,t,e)]})})},e.prototype.trainOnBatch=function(t,e){return ap(this,void 0,void 0,function(){var n,r,i,o,a,s,u,l,c;return sp(this,function(p){switch(p.label){case 0:n=this.standardizeUserData(t,e),r=n[0],i=n[1],o=this.makeTrainFunction(),a=o(r.concat(i)),s=[],u=0,l=a,p.label=1;case 1:return u<l.length?[4,l[u].data()]:[3,4];case 2:c=p.sent(),s.push(c[0]),p.label=3;case 3:return u++,[3,1];case 4:return Ht(a),[2,Cp(s)]}})})},e.prototype.getNamedWeights=function(t){for(var e={},n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),o=0;o<r.length;++o)n&&!r[o].trainable||(e[r[o].originalName]=i[o]);return e},Object.defineProperty(e.prototype,"stopTraining",{set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),e.prototype.save=function(t,e){return ap(this,void 0,void 0,function(){var n,r,i,o,a;return sp(this,function(s){switch(s.label){case 0:if("string"==typeof t){if(0===(n=Ac.getSaveHandlers(t)).length)throw new vp("Cannot find any save handlers for URL '"+t+"'");if(n.length>1)throw new vp("Found more than one ("+n.length+") save handlers for URL '"+t+"'");t=n[0]}if(null==t.save)throw new vp("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,Ac.encodeWeights(this.getNamedWeights(e))];case 1:return r=s.sent(),i=!1,o=null,a=this.toJSON(o,i),[2,t.save({modelTopology:a,weightData:r.data,weightSpecs:r.specs,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v1.0.0",convertedBy:null})]}})})},e.className="Model",e}(function(t){function e(n){var r=t.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=hp(i)}if(r.supportsMasking=!1,r.trainable_=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],Op(r.inputs).length!==r.inputs.length)throw new vp("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map(function(t){return t.name}));Op(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(t){return t.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var o=0,a=r.outputs;o<a.length;o++){var s=(I=a[o]).sourceLayer,u=I.nodeIndex,l=I.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(l)}for(var c=0,p=r.inputs;c<p.length;c++)s=(I=p[c]).sourceLayer,u=I.nodeIndex,l=I.tensorIndex,Np(0===u,"input layer has >1 nodes"),Np(0===l,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(l);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof mf))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+h+" (0-based) originates from layer type "+s.getClassName()+".");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var f=0,d=r.outputLayers;f<d.length;f++)s=d[f],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map(function(t){return t.shape}),r.internalOutputShapes=r.outputs.map(function(t){return t.shape});for(var m={},g={},y={},v={},b={},w=[],x=function(t,n,i,o,a,s){null!=o&&null!=a&&null!=s||(o=t.sourceLayer,a=t.nodeIndex,s=t.tensorIndex);var u=o.inboundNodes[a];if(-1!==i.indexOf(u))throw new yp("The tensor "+t.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(e.nodeKey(o,a)),o.id in b||(b[o.id]=Object.keys(b).length),-1===i.indexOf(u)&&i.push(u);for(var l=u.inboundLayers.length,c=0;c<l;c++){var p=u.inputTensors[c],h=u.inboundLayers[c],f=u.nodeIndices[c],d=u.tensorIndices[c];x(p,n,i,h,f,d)}for(n.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);w.push(u)}},N=[],S=[],C=0,E=r.outputs;C<E.length;C++){var I=E[C];x(I,N,S)}for(var k=0,A=w.slice().reverse();k<A.length;k++){g[(Y=A[k]).id]=Y,Y.id in m||(m[Y.id]=0);var T=m[Y.id],R=null==y[Y.outboundLayer.id]?0:y[Y.outboundLayer.id];for(T=Math.max(T,R),y[Y.outboundLayer.id]=T,v[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=T,h=0;h<Y.inboundLayers.length;h++){var D=Y.inboundLayers[h],O=(u=Y.nodeIndices[h],D.inboundNodes[u]),_=null==m[O.id]?0:m[O.id];m[O.id]=Math.max(T+1,_),g[O.id]=O}}var M={};for(var L in m)(T=m[L])in M||(M[T]=[]),M[T].push(g[L]);var F={};for(var z in y)(T=y[z])in F||(F[T]=[]),F[T].push(v[z]);var P=Object.keys(F).map(function(t){return parseInt(t,10)}).sort(Dp);r.layers=[];for(var B=0,U=P;B<U.length;B++){var W=F[T=U[B]];W.sort(function(t,e){var n=b[t.id],r=b[e.id];return n<r?-1:n>r?1:0});for(var V=0,j=W;V<j.length;V++)s=j[V],r.layers.push(s)}r.layersByDepth=F,P=Object.keys(M).map(function(t){return parseInt(t,10)}).sort(Dp);for(var q=r.inputs.slice(),G=[],H=0,K=P;H<K.length;H++)for(var $=0,X=M[T=K[H]];$<X.length;$++){var Y;if(null!=(s=(Y=X[$]).outboundLayer)){for(var J=0,Z=Y.inputTensors;J<Z.length;J++)if(I=Z[J],-1===q.indexOf(I))throw new yp("Graph disconnected: cannot obtain value for tensor "+I+' at layer "'+s.name+'". 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t=t.concat(r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],o=0,a=this.layers;o<a.length;o++)r=a[o],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),e.prototype.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n={},r=0,i=0,o=this.layers;i<o.length;i++)for(var a=0,s=o[i].weights;a<s.length;a++){var u=s[a];if(null!=n[u.originalName])throw new vp("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var l=[];for(var c in t){if(null!=n[c])l.push([n[c],t[c]]);else if(e)throw new vp("Provided weight data has no target variable: "+c);delete n[c]}if(e){var p=[];for(var h in n)p.push(h);if(p.length>0)throw new vp(p.length+" of "+r+" weights are not set: "+p)}sf(l)},e.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 1.0.0",e.backend="TensorFlow.js",e},e.prototype.toJSON=function(t,e){void 0===e&&(e=!0);var n=function t(e,n){if(null===e||void 0===e)return null;if("string"==typeof e)return Ip(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e instanceof Array){for(var r=[],i=e.length,o=0;o<i;++o){var a=e[o];pd(n,o,a)?r.push(a):r.push(t(a,n))}return r}for(var s={},u=0,l=Object.keys(e);u<l.length;u++){var c=l[u],p=e[c];s[Ip(c)]="name"!==c&&"className"!==c||"string"!=typeof p?t(p,c):p}return s}(this.updatedConfig());return e?JSON.stringify(n):n},e.prototype.call=function(t,e){var n=this;return qt(function(){t=Ep(t);for(var r=new fd,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],t[i]);return gd(n.outputs,r,e)})},e.prototype.computeMask=function(t,e){var n=this;return qt(function(){var r;return t=Ep(t),r=null==e?xp(null,t.length):Ep(e),n.runInternalGraph(t,r)[1]})},e.prototype.computeOutputShape=function(t){var e=Qh(t);if(e.length!==this.inputLayers.length)throw new vp("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var i=this.inputLayers[r],o=e[r];n[S=i.name+"_0_0"]=o}var a=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Dp);if(a.length>1)for(var s=0,u=a;s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){var h=p[c];if(i=h.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var f=[],d=0;d<h.inboundLayers.length;d++){var m=h.inboundLayers[d],g=h.nodeIndices[d],y=h.tensorIndices[d],v=n[S=m.name+"_"+g+"_"+y];f.push(v)}var b=Qh(i.computeOutputShape(Cp(f))),w=i.inboundNodes.indexOf(h);for(d=0;d<b.length;d++)n[S=i.name+"_"+w+"_"+d]=b[d]}}var x=[],N=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var S=i.name+"_"+w+"_"+y;N.push(S)}for(r=0;r<N.length;r++){var C=N[r];Np(C in n),x.push(n[C])}return Cp(x)},e.prototype.runInternalGraph=function(t,e){null==e&&(e=xp(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],o=t[r],a=e[r];n[i.id]=[o,a]}for(var s=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(Dp);s<u.length;s++)for(var l=u[s],c=0,p=this.nodesByDepth[l];c<p.length;c++){for(var h=p[c],f=h.outboundLayer,d=h.inputTensors,m=h.outputTensors,g=new Array,y=0,v=d;y<v.length;y++)(i=v[y]).id in n&&g.push(n[i.id]);if(g.length===d.length){var b={},w=void 0,x=void 0,N=void 0,S=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===g.length){var C=g[0],E=C[0],I=C[1];null==b.mask&&(b.mask=I),N=Ep(f.call(E,b)),S=Ep(f.computeMask(E,I)),w=[E],x=[I]}else w=g.map(function(t){return t[0]}),x=g.map(function(t){return t[1]}),null==b.mask&&(b.mask=x),N=Ep(f.call(w,b)),S=Ep(f.computeMask(w,x));if(f.activityRegularizer)throw new bp("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<m.length;++r)i=m[r],o=N[r],a=S[r],n[i.id]=[o,a]}}for(var k=[],A=[],T=[],R=0,D=this.outputs;R<D.length;R++){Np((i=D[R]).id in n,"Could not compute output "+i.name+" : "+i.id);var O=n[i.id],_=O[0];a=O[1],T.push(_.shape),k.push(_),A.push(a)}return[k,A,T]},e.prototype.buildNodeConversionMap=function(t){for(var n,r={},i=0,o=this.layers;i<o.length;i++){var a=o[i];n=a instanceof e?1:0;for(var s=0;s<a.inboundNodes.length;s++){var u=e.nodeKey(a,s);this.containerNodes.has(u)&&(r[u]=n,n+=1)}}return r},e.prototype.getLayer=function(t,e){if(null!=e){if(this.layers.length<=e)throw new vp("Was asked to retrieve layer at index "+e+", but model only has "+this.layers.length+" layer(s).");return this.layers[e]}if(null==t)throw new vp("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===t)return i}throw new vp("No such layer: "+t)},e.prototype.calculateLosses=function(){var t=this;return qt(function(){for(var n=[],r=0,i=t.layers;r<i.length;r++)for(var o=i[r],a=0;a<o.inboundNodes.length;++a){var s=e.nodeKey(o,a);t.containerNodes.has(s)&&n.push.apply(n,o.calculateLosses())}return n})},e.prototype.getConfig=function(){for(var t={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,o=this.layers;i<o.length;i++){for(var a=(w=o[i]).getClassName(),s=w.getConfig(),u=[],l=0;l<w.inboundNodes.length;l++){var c=w.inboundNodes[l],p=e.nodeKey(w,l),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(t){console.warn("Layer "+w.name+" was passed non-serializable keyword arguments: "+c.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),h={}}if(c.inboundLayers.length>0){for(var f=[],d=0;d<c.inboundLayers.length;d++){var m=c.inboundLayers[d],g=c.nodeIndices[d],y=c.tensorIndices[d];null==(N=n[e.nodeKey(m,g)])&&(N=0),f.push([m.name,N,y,h])}u.push(f)}}}var v={};v.name=w.name,v.className=a,v.config=s,v.inboundNodes=u,r.push(v)}t.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var w=this.inputLayers[d];g=this.inputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p)&&(null!==(N=n[p])&&void 0!==N||(N=0),y=this.inputLayersTensorIndices[d],b.push([w.name,N,y]))}t.inputLayers=b;var x=[];for(d=0;d<this.outputLayers.length;d++){var N;if(w=this.outputLayers[d],g=this.outputLayersNodeIndices[d],p=e.nodeKey(w,g),this.containerNodes.has(p))null!==(N=n[p])&&void 0!==N||(N=0),y=this.outputLayersTensorIndices[d],x.push([w.name,N,y])}return t.outputLayers=x,t},e.fromConfig=function(t,e,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},o={};function a(t,e){t.name in o?o[t.name].push(e):o[t.name]=[e]}function s(t,e){for(var n,r=[],o=0,s=e;o<s.length;o++){var u=s[o],l=u[0],c=u[1],p=u[2];if(3===u.length)n={};else{if(4!==u.length)throw new vp("Improperly formatted model config for layer "+JSON.stringify(t)+": "+JSON.stringify(u));n=u[3]}if(!(l in i))return void a(t,e);var h=i[l];if(h.inboundNodes.length<=c)return void a(t,e);var f=h.inboundNodes[c];r.push(f.outputTensors[p])}r.length>0&&t.apply(Cp(r),n)}function u(t){var n=t.name,o=cd(t,null!=e.customObjects?e.customObjects:{});o.setFastWeightInitDuringBuild(r),i[n]=o;for(var s=0,u=t.inboundNodes;s<u.length;s++){var l=u[s];if(!(l instanceof Array))throw new vp("Corrupted configuration, expected array for nodeData: "+l);a(o,l)}}for(var l=e.name,c=e.layers,p=0,h=c;p<h.length;p++)u(m=h[p]);for(;!_p(o);)for(var f=0,d=c;f<d.length;f++){var m=d[f];if((T=i[m.name]).name in o){var g=o[T.name];delete o[T.name];for(var y=0,v=g;y<v.length;y++)s(T,v[y])}}for(var b=[],w=[],x=0,N=e.inputLayers;x<N.length;x++){var S=(m=N[x])[0],C=m[1],E=m[2];Np(S in i);var I=(T=i[S]).inboundNodes[C].outputTensors;b.push(I[E])}for(var k=0,A=e.outputLayers;k<A.length;k++){var T;S=(m=A[k])[0],C=m[1],E=m[2],Np(S in i),I=(T=i[S]).inboundNodes[C].outputTensors,w.push(I[E])}return new t({inputs:b,outputs:w,name:l})},Object.defineProperty(e.prototype,"stateful",{get:function(){if(this._stateful)throw new vp("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var t=0,e=this.layers;t<e.length;t++)if(e[t].stateful)return!0;return!1},enumerable:!0,configurable:!0}),e.prototype.resetStates=function(){var t=this;qt(function(){t.layers.forEach(function(t){t.stateful&&t.resetStates()})})},e}(ff));function Fd(t,e){return ap(this,void 0,void 0,function(){var n;return sp(this,function(r){if(null==e&&(e={}),"string"==typeof t){if(0===(n=Ac.getLoadHandlers(t)).length)n.push(Ac.browserHTTPRequest(t,e));else if(n.length>1)throw new vp("Found more than one ("+n.length+") load handlers for URL '"+t+"'");t=n[0]}return[2,function(t,e,n){return ap(this,void 0,void 0,function(){var r,i,o,a,s,u;return sp(this,function(l){switch(l.label){case 0:if(null==n&&(n={}),null==t.load)throw new vp("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,t.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),o=null==n.strict||n.strict,a=null!=r.weightData&&null!=r.weightSpecs&&o,s=cd(hd(i),e,a),null!=r.weightData){if(null==r.weightSpecs)throw new vp("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");u=Ac.decodeWeights(r.weightData,r.weightSpecs),s.loadWeights(u,o),Ht(u)}return[2,s]}})})}(t,void 0,e)]})})}Fc.registerClass(Ld);var zd=function(t){function e(e){var n=t.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=e.name?e.name:hp("sequential_"),null!=e.layers)for(var r=0,i=e.layers;r<i.length;r++){var o=i[r];n.add(o)}return n}return rp(e,t),e.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new vp("Negative dimension size caused by adding layer "+t.name+" with input shape ["+t.inboundNodes[0].inputTensors[0].shape+"]")},e.prototype.add=function(t){var n,r=t instanceof e||t instanceof Ld;if(r){if(1!==(n=t).outputs.length)throw new vp("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new vp("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===t.inboundNodes.length){if(null==t.batchInputShape)throw new vp("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=gf({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==t.inboundNodes.length)throw new vp("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+t.name+" which has "+t.inboundNodes.length+" pre-existing inbound connections.");if(1!==t.inboundNodes[0].outputTensors.length)throw new vp("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=function t(e,n,r){if((null==n||null!=r&&r>0)&&(n=e.sourceLayer,r=e.nodeIndex),0===n.inboundNodes.length)return[e];var i=n.inboundNodes[r];if(0===i.inboundLayers.length)return i.inputTensors;for(var o=[],a=0;a<i.inboundLayers.length;a++)for(var s=0,u=t(i.inputTensors[a],i.inboundLayers[a],i.nodeIndices[a]);s<u.length;s++){var l=u[s];-1===o.indexOf(l)&&o.push(l)}return o}(this.outputs[0])}this.inboundNodes=[],new pf({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:xp(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1},e.prototype.pop=function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},e.prototype.call=function(t,e){return null==this.model&&this.build(),this.model.call(t,e)},e.prototype.build=function(t){if(ef(t),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new Ld({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},e.prototype.countParams=function(){return this.built||this.build(),t.prototype.countParams.call(this)},e.prototype.summary=function(e,n,r){void 0===r&&(r=console.log),this.built||this.build(),t.prototype.summary.call(this,e,n,r)},e.prototype.setWeights=function(t){null==this.model&&this.build(),this.model.setWeights(t)},Object.defineProperty(e.prototype,"updatable",{get:function(){return this._updatable},set:function(t){this.built&&(this.model.updatable=t),this._updatable=t},enumerable:!0,configurable:!0}),e.prototype.evaluate=function(t,e,n){if(void 0===n&&(n={}),!this.built)throw new yp("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},e.prototype.evaluateDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){if(!this.built)throw new yp("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(t,e)]})})},e.prototype.predict=function(t,e){return void 0===e&&(e={}),null==this.model&&this.build(),this.model.predict(t,e)},e.prototype.predictOnBatch=function(t){return null==this.model&&this.build(),this.model.predictOnBatch(t)},e.prototype.compile=function(t){this.build(),this.model.compile(t),this.optimizer=this.model.optimizer,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},e.prototype.fit=function(t,e,n){return void 0===n&&(n={}),ap(this,void 0,void 0,function(){return sp(this,function(r){if(!this.built)throw new yp("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},e.prototype.fitDataset=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){if(!this.built)throw new yp("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},e.prototype.trainOnBatch=function(t,e){return ap(this,void 0,void 0,function(){return sp(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},e.fromConfig=function(t,n,r,i){var o;void 0===r&&(r={}),void 0===i&&(i=!1);var a={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new vp("Legacy serialization format not supported yet.");o=n}else X.assert(null!=n.layers,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),o=n.layers,delete n.layers,a=n;var s=new t(a);if(!(s instanceof e))throw new bp("Sequential.fromConfig called on non-Sequential input: "+s);for(var u=0,l=o;u<l.length;u++){var c=cd(l[u],void 0,i);i&&c.setFastWeightInitDuringBuild(!0),s.add(c)}return s},Object.defineProperty(e.prototype,"stopTraining",{set:function(t){this.model.stopTraining=t},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e],i={};i.className=r.getClassName(),i.config=r.getConfig(),t.push(i)}return t},e.className="Sequential",e}(Ld);function Pd(t){return gf(t)}Fc.registerClass(zd);var Bd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.getConfig=function(){return{}},e}(Fc.Serializable),Ud=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=1),function(t,e){if(void 0===e&&(e=1),1!==e)throw new bp("Support for alpha values other than 1 ("+e+") is not implemented yet.");return Bu(t)}(t,e)},e.className="elu",e}(Bd);Fc.registerClass(Ud);var Wd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return ju(t)},e.className="selu",e}(Bd);Fc.registerClass(Wd);var Vd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return Vu(t)},e.className="relu",e}(Bd);Fc.registerClass(Vd);var jd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return qt(function(){return 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rp(e,t),e.prototype.apply=function(t){return function(t){return qt(function(){return gu(t,hu(mp(1),fa(t)))})}(t)},e.className="softsign",e}(Bd);Fc.registerClass($d);var Xd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t){return qa(t)},e.className="tanh",e}(Bd);Fc.registerClass(Xd);var Yd=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=-1),Ce(t,e)},e.className="softmax",e}(Bd);function Jd(t){return t.getClassName()}function Zd(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"activation")}function Qd(t){var e;return null==t?Zd(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},Zd(e)):t instanceof Bd?t:Zd(t)}Fc.registerClass(Yd);var tm=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e}(Fc.Serializable),em=function(t){function e(e){var n=t.call(this)||this,r=null==e||null==e.l1?.01:e.l1,i=null==e||null==e.l2?.01:e.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=mp(r),n.l2=mp(i),n}return rp(e,t),e.prototype.apply=function(t){var e=this;return qt(function(){var n=Pe([1]);return e.hasL1&&(n=hu(n,Zs(Eu(e.l1,fa(t))))),e.hasL2&&(n=hu(n,Zs(Eu(e.l2,Eh(t))))),n.asScalar()})},e.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},e.fromConfig=function(t,e){return new t({l1:e.l1,l2:e.l2})},e.className="L1L2",e}(tm);Fc.registerClass(em);var nm={l1l2:"L1L2"};function rm(t){return Tp(t)}function im(t,e){return void 0===e&&(e={}),Rp(t,Fc.SerializationMap.getMap().classNameMap,e,"regularizer")}function om(t){return null==t?null:"string"==typeof t?im({className:t in nm?nm[t]:t,config:{}}):t instanceof tm?t:im(t)}var am=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.supportsMasking=!0,null!=e&&(n.maxValue=e.maxValue),n}return rp(e,t),e.prototype.call=function(t,e){t=tf(t);var n=Vu(t);return null!=this.maxValue&&(n=xa(n,0,this.maxValue)),n},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={maxValue:this.maxValue},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ReLU",e}(ff);Fc.registerClass(am);var sm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_ALPHA=.3,null==e&&(e={}),n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return Uu(n,this.alpha)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LeakyReLU",e}(ff);Fc.registerClass(sm);var um=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),n.supportsMasking=!0,n.alphaInitializer=Yh(e.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=om(e.alphaRegularizer),n.alphaConstraint=Hp(e.alphaConstraint),null==e.sharedAxes)n.sharedAxes=null;else if(Array.isArray(e.sharedAxes))n.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new vp("Expected sharedAxes to be a number or an array of numbers, but got "+e.sharedAxes);n.sharedAxes=[e.sharedAxes]}return n}return rp(e,t),e.prototype.build=function(t){var e=(t=ef(t)).slice(1);if(null!=this.sharedAxes)for(var n=0,r=this.sharedAxes;n<r.length;n++)e[(o=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var o=1;o<t.length;++o)i[o]=t[o];this.inputSpec=[new uf({ndim:t.length,axes:i})],this.built=!0},e.prototype.call=function(t,e){return t=tf(t),Wu(t,this.alpha.read())},e.prototype.getConfig=function(){var e={alphaInitializer:Xh(this.alphaInitializer),alphaRegularizer:rm(this.alphaRegularizer),alphaConstraint:qp(this.alphaConstraint),sharedAxes:this.sharedAxes},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="PReLU",e}(ff);Fc.registerClass(um);var lm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;if(n.DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==n.DEFAULT_ALPHA)throw new bp("Non-default alpha value ("+e.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==e.alpha?n.DEFAULT_ALPHA:e.alpha,n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return Bu(n)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={alpha:this.alpha},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ELU",e}(ff);Fc.registerClass(lm);var cm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_THETA=1,null==e&&(e={}),n.theta=null==e.theta?n.DEFAULT_THETA:e.theta,n.thetaTensor=mp(n.theta),n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return n.mul(dh(n.greater(this.thetaTensor),"float32"))},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={theta:this.theta},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ThresholdedReLU",e}(ff);Fc.registerClass(cm);var pm=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_AXIS=1,null==e&&(e={}),n.softmax=(new Yd).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return rp(e,t),e.prototype.call=function(t,e){var n=tf(t);return this.softmax(n,this.axis)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Softmax",e}(ff);function hm(t,e,n){if("number"==typeof t)return xp(t,e);if(t.length!==e)throw new vp("The "+n+" argument must be a tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var i=t[r];if(!uh(i))throw new vp("The "+n+" argument must be a tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+i)}return t}function fm(t,e,n,r,i){return void 0===i&&(i=1),null==t?t:(o="same"===n?t:t-(e+(e-1)*(i-1))+1,Math.floor((o+r-1)/r));var o}function dm(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+hh([n-e,0]);else{if("same"!==r)throw new vp("Unsupport padding mode: "+r+".");t*=e}return t}function mm(t,e){return qt(function(){return Qp(e),"channelsFirst"===e?qu(t,[0,2,3,1]):t})}Fc.registerClass(pm);var gm=function(t){function e(n,r){var i=t.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),i.rank=n,Fp(i.rank,"rank"),1!==i.rank&&2!==i.rank)throw new bp("Convolution layer for rank other than 1 or 2 ("+i.rank+") is not implemented yet.");if(i.kernelSize=hm(r.kernelSize,n,"kernelSize"),i.strides=hm(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,th(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Qp(i.dataFormat),i.activation=Qd(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=Yh(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=Hp(r.biasConstraint),i.biasRegularizer=om(r.biasRegularizer),i.activityRegularizer=om(r.activityRegularizer),i.dilationRate=hm(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new vp("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(i.dilationRate));if(2===i.rank)if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new vp("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(i.dilationRate));return i}return rp(e,t),e.verifyArgs=function(t){if(Np("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!Lp(t.kernelSize,"number",1,2))throw new vp("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Jd(this.activation),useBias:this.useBias,biasInitializer:Xh(this.biasInitializer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),biasConstraint:qp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),ym=function(t){function e(n,r){var i=t.call(this,n,r)||this;return i.kernel=null,e.verifyArgs(r),i.filters=r.filters,Fp(i.filters,"filters"),i.kernelInitializer=Yh(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=Hp(r.kernelConstraint),i.kernelRegularizer=om(r.kernelRegularizer),i}return rp(e,t),e.prototype.build=function(t){var e;t=ef(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new vp("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(e={},e[n]=r,e)}],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e;t=tf(t);var r=null==n.bias?null:n.bias.read();if(1===n.rank)e=function(t,e,n,r,i,o,a){return void 0===r&&(r=1),void 0===i&&(i="valid"),void 0===a&&(a=1),qt(function(){if(null==o&&(o="channelsLast"),Qp(o),3!==t.shape.length)throw new vp("The input of a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead.");if(3!==e.shape.length)throw new vp("The kernel for a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new vp("The bias for a conv1dWithBias operation should be 1, but is "+e.shape.length+" instead");if("channelsFirst"===o&&(t=qu(t,[0,2,1])),"causal"===i)throw new bp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=ys(t,e,r,"same"===i?"same":"valid","NWC",a);return null!=n&&(s=Ih(s,n)),s})}(t,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)e=function(t,e,n,r,i,o,a){return void 0===r&&(r=[1,1]),void 0===i&&(i="valid"),qt(function(){if(null==o&&(o="channelsLast"),Qp(o),3!==t.rank&&4!==t.rank)throw new vp("conv2dWithBias expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new vp("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+t.rank+".");var s=mm(t,o);if("causal"===i)throw new bp("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s=vs(s,e,r,"same"===i?"same":"valid","NHWC",a),null!=n&&(s=Ih(s,n)),"channelsFirst"===o&&(s=qu(s,[0,3,1,2])),s})}(t,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new bp("3D convolution is not implemented yet.");return null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ef(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var i=fm(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(i)}var o=[t[0]];return"channelsLast"===this.dataFormat?(o=o.concat(e)).push(this.filters):(o.push(this.filters),o=o.concat(e)),o},e.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:Xh(this.kernelInitializer),kernelRegularizer:rm(this.kernelRegularizer),kernelConstraint:qp(this.kernelConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.verifyArgs=function(t){if(!("filters"in t)||"number"!=typeof t.filters||t.filters<1)throw new vp("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(gm),vm=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return rp(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!Lp(t.kernelSize,"number",1,2))throw new vp("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(ym);Fc.registerClass(vm);var bm=function(t){function e(e){var n=t.call(this,e)||this;if(n.inputSpec=[new uf({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new vp("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return rp(e,t),e.prototype.build=function(t){var e;if(4!==(t=ef(t)).length)throw new vp("Input should have rank 4; Received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new vp("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new uf({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);if(4!==e.shape.length)throw new vp("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,i,o=e.shape,a=o[0];"channelsFirst"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=o[r],u=o[i],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[a,dm(s,p,l,n.padding),dm(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=qu(e,[0,2,3,1]));var d=Ss(e,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=qu(d,[0,3,1,2])),null!=n.bias&&(d=Ih(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d})},e.prototype.computeOutputShape=function(t){var e,n,r,i=(t=ef(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var o=this.kernelSize[0],a=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return i[e]=this.filters,i[n]=dm(i[n],s,o,this.padding),i[r]=dm(i[r],u,a,this.padding),i},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e.className="Conv2DTranspose",e}(vm);Fc.registerClass(bm);var wm=function(t){function e(e){return t.call(this,2,e)||this}return rp(e,t),e.className="SeparableConv2D",e}(function(t){function e(e,n){var r=t.call(this,e,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new vp("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new vp("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new vp("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Yh(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=om(n.depthwiseRegularizer),r.depthwiseConstraint=Hp(n.depthwiseConstraint),r.pointwiseInitializer=Yh(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=om(n.pointwiseRegularizer),r.pointwiseConstraint=Hp(n.pointwiseConstraint),r}return rp(e,t),e.prototype.build=function(t){var e;if((t=ef(t)).length<this.rank+2)throw new vp("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n]||t[n]<0)throw new vp("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],i=this.kernelSize.concat([r,this.depthMultiplier]),o=[],a=0;a<this.rank;++a)o.push(1);o.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new uf({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e;if(t=tf(t),1===n.rank)throw new bp("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=qu(t,[0,2,3,1])),e=Ns(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=Ih(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=qu(e,[0,3,1,2])),e})},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Xh(this.depthwiseInitializer),e.pointwiseInitializer=Xh(this.pointwiseInitializer),e.depthwiseRegularizer=rm(this.depthwiseRegularizer),e.pointwiseRegularizer=rm(this.pointwiseRegularizer),e.depthwiseConstraint=qp(this.depthwiseConstraint),e.pointwiseConstraint=qp(this.pointwiseConstraint),e},e.className="SeparableConv",e}(ym));Fc.registerClass(wm);var xm=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return rp(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!Lp(t.kernelSize,"number",1,1))throw new vp("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(ym);Fc.registerClass(xm);var Nm=function(t){function e(e){var n=t.call(this,e)||this;return"number"==typeof e.cropping?n.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?n.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:n.cropping=e.cropping,n.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,n.inputSpec=[{ndim:4}],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},e.prototype.call=function(t,e){var n=this;return qt(function(){return t=tf(t),"channelsLast"===n.dataFormat?vh(vh(t,n.cropping[0][0],t.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],t.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):vh(vh(t,n.cropping[0][0],t.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],t.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},e.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Cropping2D",e}(ff);Fc.registerClass(Nm);var Sm=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==e.size?n.DEFAULT_SIZE:e.size,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,n}return rp(e,t),e.prototype.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}return e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2],[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=qu(e,[0,2,3,1]);var i=n.size[0]*r[2],o=n.size[1]*r[3],a=e.resizeNearestNeighbor([i,o]);return qu(a,[0,3,1,2])}return i=n.size[0]*r[1],o=n.size[1]*r[2],e.resizeNearestNeighbor([i,o])})},e.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="UpSampling2D",e}(ff);Fc.registerClass(Sm);var Cm=function(t){function e(e){var n=t.call(this,2,e)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,n.depthwiseInitializer=Yh(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Hp(e.depthwiseConstraint),n.depthwiseRegularizer=om(e.depthwiseRegularizer),n}return rp(e,t),e.prototype.build=function(t){if((t=ef(t)).length<4)throw new vp("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(t)+".");var e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new vp("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var e=function(t,e,n,r,i,o){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),qt(function(){null==i&&(i="channelsLast"),Qp(i);var a=mm(t,i);if(4!==t.rank)throw new vp("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==e.rank)throw new vp("depthwiseKernel is required to be 4-D, but is instead "+e.rank+"-D");return a=xs(a,e,n,"same"===r?"same":"valid","NHWC",o),"channelsFirst"===i&&(a=qu(a,[0,3,1,2])),a})}(t=tf(t),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(e=Ih(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),e})},e.prototype.computeOutputShape=function(t){t=ef(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=fm(e,this.kernelSize[0],this.padding,this.strides[0]),o=fm(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,o]:[t[0],i,o,r]},e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Xh(this.depthwiseInitializer),e.depthwiseRegularizer=rm(this.depthwiseRegularizer),e.depthwiseConstraint=qp(this.depthwiseRegularizer),e},e.className="DepthwiseConv2D",e}(gm);Fc.registerClass(Cm);var Em=function(t){function e(e){var n=t.call(this,e)||this;if(n.rate=Math.max(Math.min(e.rate,1),0),n.rateScalar=mp(n.rate),n.noiseShape=e.noiseShape,n.seed=e.seed,null!=n.seed)throw new bp("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return rp(e,t),e.prototype.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t);if(null!=n.noiseShape&&!X.arraysEqual(r.shape,n.noiseShape))throw new bp("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=e.training&&e.training,o=n.getNoiseShape(r);return Ah(function(){return kh(r,n.rateScalar,o,n.seed)},function(){return r},i)}return t})},e.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.dispose=function(){var e=t.prototype.dispose.call(this);return this.rateScalar.isDisposed||(this.rateScalar.dispose(),e.numDisposedVariables++),e},e.className="Dropout",e}(ff);Fc.registerClass(Em);var Im=function(t){function e(e){var n=t.call(this,e)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var r=null;null!=e.batchSize&&(r=e.batchSize),n.batchInputShape=[r,e.inputDim]}return n.units=e.units,Fp(n.units,"units"),n.activation=Qd(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Hp(e.kernelConstraint),n.biasConstraint=Hp(e.biasConstraint),n.kernelRegularizer=om(e.kernelRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.activityRegularizer=om(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return rp(e,t),e.prototype.build=function(t){var e,n=(t=ef(t))[t.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(e={},e[-1]=n,e)}],this.built=!0},e.prototype.computeOutputShape=function(t){var e=(t=ef(t)).slice();return e[e.length-1]=this.units,e},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=Sh(tf(t),n.kernel.read());return null!=n.bias&&(r=Ih(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),biasConstraint:qp(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dense",e}(ff);Fc.registerClass(Im);var km=function(t){function e(e){var n=t.call(this,e||{})||this;return n.inputSpec=[{minNDim:3}],n}return rp(e,t),e.prototype.computeOutputShape=function(t){for(var e=0,n=(t=ef(t)).slice(1);e<n.length;e++)if(null==n[e])throw new vp('The shape of the input to "Flatten" is not fully defined (got '+t.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[t[0],lh(t,1)]},e.prototype.call=function(t,e){var n=this;return qt(function(){return n.invokeCallHook(t,e),function(t){if(t.rank<=1)throw new vp("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],lh(t.shape,1)];return t.reshape(e)}(tf(t))})},e.className="Flatten",e}(ff);Fc.registerClass(km);var Am=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n.activation=Qd(e.activation),n}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t);return n.activation.apply(r)})},e.prototype.getConfig=function(){var e={activation:Jd(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Activation",e}(ff);Fc.registerClass(Am);var Tm=function(t){function e(e){var n=t.call(this,e)||this;return n.n=e.n,n.inputSpec=[{ndim:2}],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},e.prototype.call=function(t,e){var n=this;return qt(function(){return function(t,e){return qt(function(){if(2!==t.shape.length)throw new vp("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return xh(mh(t,1),[1,e,1])})}(t=tf(t),n.n)})},e.prototype.getConfig=function(){var e={n:this.n},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="RepeatVector",e}(ff);Fc.registerClass(Tm);var Rm=function(t){function e(e){var n=t.call(this,e)||this;n.targetShape=e.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return rp(e,t),e.prototype.isUnknown=function(t){return t<0||null==t},e.prototype.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),i=1,o=null,a=0;a<r.length;++a){var s=r[a];if(this.isUnknown(s)){if(null!==o)throw new vp("Can only specifiy one unknown dimension.");o=a}else i*=s}var u=lh(t);if(null!==o){if(0===i||u%i!=0)throw new vp(n);r[o]=u/i}else if(u!==i)throw new vp(n);return r},e.prototype.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t),i=r.shape,o=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(o)})},e.prototype.getConfig=function(){var e={targetShape:this.targetShape},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Reshape",e}(ff);Fc.registerClass(Rm);var Dm=function(t){function e(e){var n=t.call(this,e)||this;if(null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+e.dims+" instead.");var r=fh(1,e.dims.length+1);if(!X.arraysEqual(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new uf({ndim:n.dims.length+1})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e=(t=ef(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},e.prototype.call=function(t,e){return qu(tf(t),this.dimsIncludingBatch)},e.prototype.getConfig=function(){var e={dims:this.dims},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Permute",e}(ff);Fc.registerClass(Dm);var Om=function(t){function e(e){var n=t.call(this,e)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var r=null;null!=e.batchSize&&(r=e.batchSize),null==e.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(Ep(e.inputLength))}return n.inputDim=e.inputDim,Fp(n.inputDim,"inputDim"),n.outputDim=e.outputDim,Fp(n.outputDim,"outputDim"),n.embeddingsInitializer=Yh(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=om(e.embeddingsRegularizer),n.activityRegularizer=om(e.activityRegularizer),n.embeddingsConstraint=Hp(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}return rp(e,t),e.prototype.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},e.prototype.warnOnIncompatibleInputShape=function(t){},e.prototype.computeMask=function(t,e){var n=this;return qt(function(){return n.maskZero?(t=tf(t),cu(t,je(t))):null})},e.prototype.computeOutputShape=function(t){if(t=ef(t),null==this.inputLength)return t.concat([this.outputDim]);var e=Ep(this.inputLength);if(e.length!==t.length-1)throw new vp('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var i=e[r],o=t[r+1];if(null!=i&&null!=o&&i!==o)throw new vp('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==i&&(e[n]=o),n++}return[t[0]].concat(e,[this.outputDim])},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e);var r=tf(t);return"int32"!==r.dtype&&(r=dh(r,"int32")),Ch(n.embeddings.read(),r.as1D()).reshape(ef(n.computeOutputShape(r.shape)))})},e.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Xh(this.embeddingsInitializer),embeddingsRegularizer:rm(this.embeddingsRegularizer),activityRegularizer:rm(this.activityRegularizer),embeddingsConstraint:qp(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Embedding",e}(ff);Fc.registerClass(Om);var _m=function(t){function e(e){var n=t.call(this,e||{})||this;return n.supportsMasking=!0,n}return rp(e,t),e.prototype.mergeFunction=function(t){throw new bp},e.prototype.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var i=t[t.length-e.length+r],o=e[r];if(null==i||null==o||i<0||o<0)n.push(null);else if(1===i)n.push(o);else if(1===o)n.push(i);else{if(i!==o)throw new vp("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(i)}}return n},e.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[ef(t)]),(t=t).length<2)throw new vp("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e=[],n=0,r=t;n<r.length;n++)null!=(a=r[n])&&null!==a[0]&&e.push(a[0]);if((e=Op(e)).length>1)throw new vp("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var i=null==t[0]?null:t[0].slice(1),o=1;o<t.length;++o){var a=null==t[o]?null:t[o].slice(1);i=this.computeElementwiseOpOutputShape(i,a)}var s=t.map(function(t){return t.length});-1===t.indexOf(null)&&1===Op(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){if(t=t,n.reshapeRequired){var e=[],r=t.map(function(t){return t.rank});if(-1===r.indexOf(null)){for(var i=hh(r),o=0,a=t;o<a.length;o++){for(var s=(h=a[o]).rank,u=0;u<i-s;++u)h=mh(h,1);e.push(h)}return n.mergeFunction(e)}for(var l=!1,c=0,p=t;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var f=h.shape,d=f[0],m=f.slice(1).concat([d]),g=h.reshape([d].concat(lh(f.slice(1))));g=(g=qu(g,[1,0])).reshape(m),e.push(g),l=!0}else if(s>1){var y=fh(1,s).concat([0]);e.push(qu(h,y)),l=!0}else e.push(h)}var v=n.mergeFunction(e),b=v.rank;if(l)if(null==b){var w=v.shape;m=[d=w[w.length-1]].concat(w.slice(0,w.length-1)),v=qu(v.reshape([-1,d]),[1,0]).reshape(m)}else b>1&&(y=[b-1].concat(fh(0,b-1)),v=qu(v,y));return v}return n.mergeFunction(t)})},e.prototype.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var i=[],o=0,a=t;o<a.length;o++)null!=(r=a[o])&&null!==r[0]&&i.push(r[0]);return 1===(i=Op(i)).length?i.concat(e):[null].concat(e)},e.prototype.computeMask=function(t,e){return qt(function(){if(null==e)return null;if(!Array.isArray(e))throw new vp("`mask` should be an Array");if(!Array.isArray(t))throw new vp("`inputs` should be an Array");if(e.length!==t.length)throw new vp("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+t.length+" vs "+e.length+")");if(e.every(function(t){return null==t}))return null;for(var n=(e=e.map(function(t){return null==t?t:qo(t,0)}))[0],r=1;r<e.length-1;++r)n=_u(n,e[r]);return n})},e}(ff),Mm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=hu(e,t[n]);return e})},e.className="Add",e}(_m);Fc.registerClass(Mm);var Lm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Eu(e,t[n]);return e})},e.className="Multiply",e}(_m);Fc.registerClass(Lm);var Fm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=hu(e,t[n]);return Eu(mp(1/t.length),e)})},e.className="Average",e}(_m);Fc.registerClass(Fm);var zm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0],n=1;n<t.length;++n)e=bu(e,t[n]);return e})},e.className="Maximum",e}(_m);Fc.registerClass(zm);var Pm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.mergeFunction=function(t){return qt(function(){for(var e=t[0],n=1;n<t.length;++n)e=xu(e,t[n]);return e})},e.className="Minimum",e}(_m);Fc.registerClass(Pm);var Bm=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_AXIS=-1,null==e&&(e={}),n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return rp(e,t),e.prototype.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new vp("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e=!0,n=0,r=t=t;n<r.length;n++)if(null!=(c=r[n])){e=!1;break}if(!e){for(var i=[],o=0;o<t.length;++o){var a=t[o].slice();a.splice(this.axis,1);for(var s=!1,u=0,l=i;u<l.length;u++){var c=l[u];if(X.arraysEqual(c,a)){s=!0;break}}s||i.push(a)}if(i.length>1)throw new vp("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}},e.prototype.mergeFunction=function(t){var e=this;return qt(function(){return bh(t,e.axis)})},e.prototype.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new vp("A `Concatenate` layer should be called on a list of inputs.");for(var e=t,n=e[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,o=e.slice(1);i<o.length;i++){var a=o[i];if(null==n[r]||null==a[r]){n[r]=null;break}n[r]+=a[r]}return n},e.prototype.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new vp("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new vp("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new vp("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return qt(function(){var r=!0;if(e.forEach(function(t){null==t||(r=!1)}),r)return null;for(var i=[],o=0;o<t.length;++o)null==e[o]?i.push(Ve(t[o]).asType("bool")):e[o].rank<t[o].rank?i.push(qo(e[o],-1)):i.push(e[o]);var a=xo(i,n.axis);return js(a,-1,!1)})},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Concatenate",e}(_m);function Um(t,e){for(;t<0;)t+=e;return t}Fc.registerClass(Bm);var Wm=function(t){function e(e){var n=t.call(this,e)||this;return n.axes=e.axes,n.normalize=null!=e.normalize&&e.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return rp(e,t),e.prototype.build=function(t){X.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0],n=t[1];if(e.length>3||n.length>3)throw new bp("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new vp("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},e.prototype.mergeFunction=function(t){if(2!==t.length)throw new vp("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return Um(e,t[n].shape.length)}):[Um(this.axes,n.shape.length),Um(this.axes,r.shape.length)],this.normalize&&(n=Af(n,e[0]),r=Af(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new bp("batchDot is not implemented for tensors of 4D or higher rank yet");if(X.assert(t.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length}),X.assert(t.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length}),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new bp("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,i=e.shape.length;null==n&&(n=[r-1,i-2]);var o=n;return qt(function(){var n,a;if(r>i){n=r-i;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(i>r){for(n=i-r,s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else n=0;if(2===t.shape.length&&2===e.shape.length)a=o[0]===o[1]?t.mulStrict(e).sum(o[0]):t.transpose([1,0]).mulStrict(e).sum(o[1]);else{var l=o[0]!==t.shape.length-1,c=o[1]===e.shape.length-1;a=t.matMul(e,l,c)}if(n>0){var p,h=[];for(u=p=r>i?r+i-3:r-1;u<p+n;++u)h.push(u);a=a.squeeze(h)}return 1===a.shape.length&&(a=a.expandDims(1)),a})}(n,r,e)},e.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[Um(this.axes,t.length),Um(this.axes,e.length)]},e.prototype.computeOutputShape=function(t){X.assert(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new bp("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var i=e.concat(n);return 1===i.length&&i.push(1),i},e.prototype.computeMask=function(t,e){return null},e.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Dot",e}(_m);function Vm(t,e,n,r,i,o){var a;if(void 0===o&&(o=.001),2===t.rank)a=ns(t,e,n,r,i,o);else if(3===t.rank)a=rs(t,e,n,r,i,o);else{if(4!==t.rank)throw new bp("batchNormalization is not implemented for array of rank "+t.rank+" yet");a=is(t,e,n,r,i,o)}return a}function jm(t,e,n,r,i){return void 0===i&&(i=.001),X.arraysEqual(r.slice().sort(),fh(0,t.rank-1))?function(t,e,n,r,i){return void 0===i&&(i=.001),qt(function(){var o=Js(t,r),a=o.mean,s=o.variance;return[Vm(t,a,s,n,e,i),a,s]})}(t,e,n,r,i):function(t,e,n,r,i){return void 0===i&&(i=.001),qt(function(){for(var o=Js(t,r),a=o.mean,s=o.variance,u=[],l=0,c=fh(0,t.rank);l<c.length;l++){var p=c[l];-1!==r.indexOf(p)?u.push(1):u.push(t.shape[p])}var h=a.reshape(u),f=s.reshape(u),d=null==e?null:e.reshape(u),m=null==n?null:n.reshape(u);return[Vm(t,h,f,m,d,i),a,s]})}(t,e,n,r,i)}Fc.registerClass(Wm);var qm=function(t){function e(e){var n=this;return null==e&&(e={}),(n=t.call(this,e)||this).supportsMasking=!0,n.axis=null==e.axis?-1:e.axis,n.momentum=null==e.momentum?.99:e.momentum,n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=Yh(e.betaInitializer||"zeros"),n.gammaInitializer=Yh(e.gammaInitializer||"ones"),n.movingMeanInitializer=Yh(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Yh(e.movingVarianceInitializer||"ones"),n.betaConstraint=Hp(e.betaConstraint),n.gammaConstraint=Hp(e.gammaConstraint),n.betaRegularizer=om(e.betaRegularizer),n.gammaRegularizer=om(e.gammaRegularizer),n}return rp(e,t),e.prototype.build=function(t){var e;t=ef(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new vp("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new uf({ndim:t.length,axes:(e={},e[n]=r,e)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var r=null!=e.training&&e.training,i=tf(t),o=i.shape,a=o.length,s=fh(0,a),u=n.axis>=0?n.axis:n.axis+a;s.splice(u,1);var l=xp(1,a);l[u]=o[u];var c=s.slice();c.sort();var p=!X.arraysEqual(c,fh(0,a).slice(0,a-1));if(!r)return function(){if(p){var t=n.movingMean.read().reshape(l),e=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,o=n.scale?n.gamma.read().reshape(l):null;return Vm(i,t,e,r,o,n.epsilon)}return Vm(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=jm(i,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],g=function(t,e,n){qt(function(){var r=mp(1).sub(mp(n)),i=t.read(),o=i.sub(e).mul(r);t.write(i.sub(o))})};return g(n.movingMean,d,n.momentum),g(n.movingVariance,m,n.momentum),f})},e.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xh(this.betaInitializer),gammaInitializer:Xh(this.gammaInitializer),movingMeanInitializer:Xh(this.movingMeanInitializer),movingVarianceInitializer:Xh(this.movingVarianceInitializer),betaRegularizer:rm(this.betaRegularizer),gammaRegularizer:rm(this.gammaRegularizer),betaConstraint:qp(this.betaConstraint),gammaConstraint:qp(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="BatchNormalization",e}(ff);Fc.registerClass(qm);var Gm=function(t){function e(e){var n=this;if(null==e&&(e={}),(n=t.call(this,e)||this).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)n.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new vp("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new vp("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+e.padding[0].length+" array.");if(r=e.padding[0],2!==e.padding[1].length)throw new vp("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");i=e.padding[1]}n.padding=[r,i]}return n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e,n;return t=ef(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},e.prototype.call=function(t,e){var n=this;return qt(function(){return function(t,e,n){return qt(function(){if(4!==t.rank)throw new vp("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==e&&(e=[[1,1],[1,1]]),2!==e.length||2!==e[0].length||2!==e[1].length)throw new vp("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new vp("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r="channelsFirst"===n?[[0,0],[0,0],e[0],e[1]]:[[0,0],e[0],e[1],[0,0]],$o(t,r)})}(tf(t),n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ZeroPadding2D",e}(ff);function Hm(t,e,n,r,i,o){return qt(function(){var a;Qp(i),function(t){Mp(Yp,"PoolMode",t)}(o),th(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),t=mm(t,i);var s="same"===r?"same":"valid";return a="max"===o?Ms(t,e,n,s):Ls(t,e,n,s),"channelsFirst"===i&&(a=qu(a,[0,3,1,2])),a})}Fc.registerClass(Gm);var Km=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=2),n=t.call(this,e)||this,"number"==typeof e.poolSize)n.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new vp("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.poolSize));n.poolSize=e.poolSize}if(Fp(n.poolSize,"poolSize"),null==e.strides)n.strides=n.poolSize;else if("number"==typeof e.strides)n.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new vp("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.strides));n.strides=e.strides}return Fp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,th(n.padding),n.inputSpec=[new uf({ndim:3})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){var e=fm((t=ef(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},e.prototype.call=function(t,e){var n=this;return qt(function(){n.invokeCallHook(t,e),t=mh(tf(t),2);var r=n.poolingFunction(tf(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return ia(r,[2])})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),$m=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(Km);Fc.registerClass($m);var Xm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(Km);Fc.registerClass(Xm);var Ym=function(t){function e(e){var n=this;if(null==e.poolSize&&(e.poolSize=[2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new vp("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides];return Fp(n.poolSize,"poolSize"),Fp(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qp(n.dataFormat),th(n.padding),n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){t=ef(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=fm(e,this.poolSize[0],this.padding,this.strides[0]),n=fm(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},e.prototype.call=function(t,e){var n=this;return qt(function(){return n.invokeCallHook(t,e),n.poolingFunction(tf(t),n.poolSize,n.strides,n.padding,n.dataFormat)})},e.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),Jm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(Ym);Fc.registerClass(Jm);var Zm=function(t){function e(e){return t.call(this,e)||this}return rp(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return Qp(i),th(r),Hm(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(Ym);Fc.registerClass(Zm);var Qm=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new uf({ndim:3})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new bp},e}(ff),tg=function(t){function e(e){return t.call(this,e||{})||this}return rp(e,t),e.prototype.call=function(t,e){return qt(function(){var e=tf(t);return Xs(e,1)})},e.className="GlobalAveragePooling1D",e}(Qm);Fc.registerClass(tg);var eg=function(t){function e(e){return t.call(this,e||{})||this}return rp(e,t),e.prototype.call=function(t,e){return qt(function(){var e=tf(t);return $s(e,1)})},e.className="GlobalMaxPooling1D",e}(Qm);Fc.registerClass(eg);var ng=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,Qp(n.dataFormat),n.inputSpec=[new uf({ndim:4})],n}return rp(e,t),e.prototype.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},e.prototype.call=function(t,e){throw new bp},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(ff),rg=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);return"channelsLast"===n.dataFormat?Xs(e,[1,2]):Xs(e,[2,3])})},e.className="GlobalAveragePooling2D",e}(ng);Fc.registerClass(rg);var ig=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.call=function(t,e){var n=this;return qt(function(){var e=tf(t);return"channelsLast"===n.dataFormat?$s(e,[1,2]):$s(e,[2,3])})},e.className="GlobalMaxPooling2D",e}(ng);function og(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new vp("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function ag(t,e,n,r,i,o,a,s){return void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===s&&(s=!1),qt(function(){var u=e.shape.length;if(u<3)throw new vp("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(fh(2,u));if(e=qu(e,l),null!=o)throw new bp("The rnn() functoin of the deeplearn.js backend does not support constants yet.");a&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=i&&((i=i.asType("bool").asType("float32")).rank===u-1&&(i=qo(i,-1)),i=qu(i,l)),r&&(e=ks(e,0),null!=i&&(i=ks(i,0)));var c,p,h=[],f=n,d=e.shape[0],m=ua(e);null!=i&&(p=ua(i));for(var g,y=function(e){var n=m[e],r=qt(function(){return t(n,f)});if(null==i)c=r[0],f=r[1];else{var o=qt(function(){var t=p[e],n=Ve(t).sub(t);return{output:r[0].mul(t).addStrict(f[0].mul(n)),newStates:f.map(function(e,i){return r[1][i].mul(t).addStrict(e.mul(n))})}});c=o.output,f=o.newStates}s&&h.push(c)},v=0;v<d;++v)y(v);return s&&(g=oa(h,1)),[c,g,f]})}Fc.registerClass(ig);var sg=function(t){function e(e){var n,r=t.call(this,e)||this;if(null==e.cell)throw new vp("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(e.cell)?new mg({cells:e.cell}):e.cell).stateSize)throw new vp("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new uf({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return rp(e,t),e.prototype.getStates=function(){return null==this.states_?fh(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(t){return null}):this.states_},e.prototype.setStates=function(t){this.states_=t},e.prototype.computeOutputShape=function(t){Zh(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var i=[],o=0,a=e;o<a.length;o++){var s=a[o];i.push([t[0],s])}return[n].concat(i)}return n},e.prototype.computeMask=function(t,e){var n=this;return qt(function(){Array.isArray(e)&&(e=e[0]);var t=n.returnSequences?e:null;if(n.returnState){var r=n.states.map(function(t){return null});return[t].concat(r)}return t})},Object.defineProperty(e.prototype,"states",{get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t},enumerable:!0,configurable:!0}),e.prototype.build=function(t){if(null!=this.numConstants)throw new bp("Constants support is not implemented in RNN yet.");Zh(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new uf({shape:[e,null,n]});var r,i=[t[0]].concat(t.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!X.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),r))throw new vp("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map(function(t){return new uf({shape:[null,t]})});this.stateful&&this.resetStates()},e.prototype.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),qt(function(){if(!n.stateful)throw new gp("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new vp("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Pe([r,t])}):n.states_=[Pe([r,n.cell.stateSize])];else if(null==t)Ht(n.states_),null!=n.keptStates&&(Ht(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map(function(t){return Pe([r,t])}):n.states_[0]=Pe([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new vp("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+t.length+" state value(s). Input received: "+t);!0===e?n.keptStates.push(n.states_.slice()):Ht(n.states_);for(var i=0;i<n.states_.length;++i){var o=t[i],a=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,a];if(!X.arraysEqual(o.shape,s))throw new vp("State "+i+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+o.shape);n.states_[i]=o}}n.states_.forEach(function(t){return Gt(t)})})},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var o=og(e,r,i,this.numConstants);e=o.inputs,r=o.initialState,i=o.constants;var a=[],s=[];if(null!=r){n.initialState=r,a=a.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new uf({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,a=a.concat(i),this.numConstants=i.length),a[0]instanceof lf){var p=[e].concat(a),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=t.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return qt(function(){var r=null==e?null:e.mask,i=null==e?null:e.training,o=null==e?null:e.initialState;t=tf(t),null==o&&(o=n.stateful?n.states_:n.getInitialState(t));var a=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(o.length!==a)throw new vp("RNN Layer has "+a+" state(s) but was passed "+o.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:i},u=ag(function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]},t,o,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h})},e.prototype.getInitialState=function(t){var e=this;return qt(function(){var n=Pe(t.shape);return n=mh(n=Zs(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map(function(t){return t>1?xh(n,[1,t]):n}):e.cell.stateSize>1?[xh(n,[1,e.cell.stateSize])]:[n]})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)},e.prototype.getConfig=function(){var e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(e.numConstants=this.numConstants);var n=this.cell.getConfig();e.cell={className:this.cell.getClassName(),config:n};var r=t.prototype.getConfig.call(this);return Object.assign(e,r),e},e.className="RNN",e}(ff);Fc.registerClass(sg);var ug=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e}(ff),lg=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,Fp(n.units,"units"),n.activation=Qd(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return rp(e,t),e.prototype.build=function(t){t=ef(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){if(2!==(t=t).length)throw new vp("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var i,o=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(r)},n.recurrentDropout,o));var a=n.dropoutMask,s=n.recurrentDropoutMask;i=Sh(null!=a?Eu(t,a):t,n.kernel.read()),null!=n.bias&&(i=Ih(i,n.bias.read())),null!=s&&(r=Eu(r,s));var u=hu(i,Sh(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="SimpleRNNCell",e}(ug);Fc.registerClass(lg);var cg=function(t){function e(e){return e.cell=new lg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.className="SimpleRNN",e}(sg);Fc.registerClass(cg);var pg=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,Fp(n.units,"units"),n.activation=Qd(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Qd(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return rp(e,t),e.prototype.build=function(t){var e=(t=ef(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){if(2!==(t=t).length)throw new vp("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,i=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(i)},n.recurrentDropout,r,3));var o,a,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Eu(t,u[0]));var c=Sh(t,n.kernel.read());n.useBias&&(c=Ih(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Eu(i,l[0]));var p=n.recurrentKernel.read(),h=Io(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=Sh(i,f),g=Io(c,3,c.rank-1),y=g[0],v=g[1],b=g[2],w=Io(m,2,m.rank-1),x=w[0],N=w[1];o=n.recurrentActivation.apply(hu(y,x)),a=n.recurrentActivation.apply(hu(v,N));var S=Sh(Eu(a,i),d);s=n.activation.apply(hu(b,S));var C=hu(Eu(o,i),Eu(hu(mp(1),Da(o)),s));return[C,C]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="GRUCell",e}(ug);Fc.registerClass(pg);var hg=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new pg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="GRU",e}(sg);Fc.registerClass(hg);var fg=function(t){function e(e){var n=t.call(this,e)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,Fp(n.units,"units"),n.activation=Qd(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=Qd(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=Yh(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Yh(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Yh(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=om(e.kernelRegularizer),n.recurrentRegularizer=om(e.recurrentRegularizer),n.biasRegularizer=om(e.biasRegularizer),n.kernelConstraint=Hp(e.kernelConstraint),n.recurrentConstraint=Hp(e.recurrentConstraint),n.biasConstraint=Hp(e.biasConstraint),n.dropout=ph([1,hh([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=ph([1,hh([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return rp(e,t),e.prototype.build=function(t){var e,n,r=(t=ef(t))[t.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,o=this.units;n=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return rp(e,t),e.prototype.apply=function(t,e){var n=i.apply([o]),r=(new _h).apply([o]),a=i.apply([2*o]);return wh(wh(n,r),a)},e}(Dh)).className="CustomInit",e)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},e.prototype.call=function(t,e){var n=this;return qt(function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new vp("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var i=t[1],o=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=gg(function(){return Ve(t)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=gg(function(){return Ve(i)},n.recurrentDropout,r,4));var a,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=Eu(t,c[0]));var h=Sh(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Eu(i,p[0])),h=hu(h,Sh(i,n.recurrentKernel.read())),n.useBias&&(h=Ih(h,n.bias.read()));var f=Io(h,4,h.rank-1),d=f[0],m=f[1],g=f[2],y=f[3];a=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=hu(Eu(s,o),Eu(a,n.activation.apply(g))),l=n.recurrentActivation.apply(y);var v=Eu(l,n.activation.apply(u));return[v,v,u]})},e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="LSTMCell",e}(ug);Fc.registerClass(fg);var dg=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new fg(e),t.call(this,e)||this}return rp(e,t),e.prototype.call=function(e,n){var r=this;return qt(function(){null!=r.cell.dropoutMask&&(Ht(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Ht(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,a=null==n?null:n.initialState;return t.prototype.call.call(r,e,{mask:i,training:o,initialState:a})})},Object.defineProperty(e.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),e.prototype.getConfig=function(){var e={units:this.units,activation:Jd(this.activation),recurrentActivation:Jd(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xh(this.kernelInitializer),recurrentInitializer:Xh(this.recurrentInitializer),biasInitializer:Xh(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:rm(this.kernelRegularizer),recurrentRegularizer:rm(this.recurrentRegularizer),biasRegularizer:rm(this.biasRegularizer),activityRegularizer:rm(this.activityRegularizer),kernelConstraint:qp(this.kernelConstraint),recurrentConstraint:qp(this.recurrentConstraint),biasConstraint:qp(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},e.className="LSTM",e}(sg);Fc.registerClass(dg);var mg=function(t){function e(e){var n=t.call(this,e)||this;return n.cells=e.cells,n}return rp(e,t),Object.defineProperty(e.prototype,"stateSize",{get:function(){for(var t=[],e=0,n=this.cells.slice().reverse();e<n.length;e++){var r=n[e];Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t},enumerable:!0,configurable:!0}),e.prototype.call=function(t,e){var n=this;return qt(function(){for(var r=(t=t).slice(1),i=[],o=0,a=n.cells.slice().reverse();o<a.length;o++){var s=a[o];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=i[c],u=0===c?[t[0]].concat(r):[u[0]].concat(r),u=s.call(u,e),l.push(u.slice(1));r=[];for(var p=0,h=l.slice().reverse();p<h.length;p++){var f=h[p];r.push.apply(r,f)}return[u[0]].concat(r)})},e.prototype.build=function(t){var e;Zh(t)&&(t=t[0]),t=t;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(t),e=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,t=[t[0],e]}this.built=!0},e.prototype.getConfig=function(){for(var e=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];e.push({className:this.getClassName(),config:i.getConfig()})}var o={cells:e},a=t.prototype.getConfig.call(this);return Object.assign(o,a),o},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r=[],i=0,o=e.cells;i<o.length;i++){var a=o[i];r.push(cd(a,n))}return new t({cells:r})},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],o=0,a=this.cells;o<a.length;o++)r=a[o],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){for(var t=[],e=0,n=this.cells;e<n.length;e++){var r=n[e];t.push.apply(t,r.weights)}return af(t)},e.prototype.setWeights=function(t){for(var e=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],o=i.weights.length,a=t.splice(o),s=0;s<i.weights.length;++s)e.push([i.weights[s],a[s]]);sf(e)},e.className="StackedRNNCells",e}(ug);function gg(t,e,n,r){function i(){return kh(t(),mp(e))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var o=[],a=0;a<r;a++)o.push(Ah(i,t,n));return o.forEach(function(t){return Gt(t)}),o}return Gt(Ah(i,t,n))}Fc.registerClass(mg);var yg=function(t){function e(e){var n=t.call(this,e)||this;return n.layer=e.layer,n}return rp(e,t),e.prototype.build=function(t){this.built=!0},Object.defineProperty(e.prototype,"trainable",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(t){null!=this.layer&&(this.layer.trainable=t)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.layer.getWeights()},e.prototype.setWeights=function(t){this.layer.setWeights(t)},e.prototype.getConfig=function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.prototype.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=cd(e.layer,n);delete e.layer;var i={layer:r};return Object.assign(i,e),new t(i)},e}(ff),vg=function(t){function e(e){var n=t.call(this,e)||this;return n.supportsMasking=!0,n}return rp(e,t),e.prototype.build=function(e){if((e=ef(e)).length<3)throw new vp("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(e));this.inputSpec=[{shape:e}];var n=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),t.prototype.build.call(this,e)},e.prototype.computeOutputShape=function(t){var e=[(t=ef(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))},e.prototype.call=function(t,e){var n=this;return qt(function(){return ag(function(t,r){return[tf(n.layer.call(t,e)),[]]},t=tf(t),[],!1,null,null,!1,!0)[1]})},e.className="TimeDistributed",e}(yg);Fc.registerClass(vg);var bg="concat",wg=function(t){function e(e){var n=t.call(this,e)||this,r=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=r,n.forwardLayer=cd(i),r.goBackwards=!0!==r.goBackwards;var o={};if(o.className=e.layer.getClassName(),o.config=r,n.backwardLayer=cd(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?bg:e.mergeMode,function(t){Mp(Jp,"BidirectionalMergeMode",t)}(n.mergeMode),e.weights)throw new bp("weights support is not implemented for Bidirectional layer yet.");return n._stateful=e.layer.stateful,n.returnSequences=e.layer.returnSequences,n.returnState=e.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=e.layer.inputSpec,n.numConstants=null,n}return rp(e,t),Object.defineProperty(e.prototype,"trainable",{get:function(){return this._trainable},set:function(t){this._trainable=t,null!=this.forwardLayer&&(this.forwardLayer.trainable=t),null!=this.backwardLayer&&(this.backwardLayer.trainable=t)},enumerable:!0,configurable:!0}),e.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},e.prototype.setWeights=function(t){var e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))},e.prototype.computeOutputShape=function(t){var e,n,r,i=this.forwardLayer.computeOutputShape(t);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),e=i[0]):e=i[0],e=e,"concat"===this.mergeMode?(e[e.length-1]*=2,n=[e]):n=null==this.mergeMode?[e,e.slice()]:[e],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[e].concat(r).concat(r.slice()):Cp(n)},e.prototype.apply=function(e,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var o=og(e,r,i,this.numConstants);if(e=o.inputs,r=o.initialState,i=o.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==i)return t.prototype.apply.call(this,e,n);var a=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new vp("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,a.push.apply(a,r);var l=r.map(function(t){return new uf({shape:t.shape})});this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=i)throw new bp("Support for constants in Bidirectional layers is not implemented yet.");for(var c=a[0]instanceof lf,p=0,h=a;p<h.length;p++)if(h[p]instanceof lf!==c)throw new vp("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(c){var f=[e].concat(a),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=t.prototype.apply.call(this,f,n);return this.inputSpec=m,g}return t.prototype.apply.call(this,e,n)},e.prototype.call=function(t,e){var n=this;return qt(function(){if(null!=e.mask)throw new bp("The support for masking is not implemented for Bidirectional layers yet.");var r,i,o,a,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),i=n.backwardLayer.call(t,e);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(t,Object.assign(e,{initialState:u})),i=n.backwardLayer.call(t,Object.assign(e,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(o=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=ks(i,1)),"concat"===n.mergeMode?a=bh([r,i]):"sum"===n.mergeMode?a=hu(r,i):"ave"===n.mergeMode?a=Eu(mp(.5),hu(r,i)):"mul"===n.mergeMode?a=Eu(r,i):null==n.mergeMode&&(a=[r,i]),n.returnState?null==n.mergeMode?a.concat(o):[a].concat(o):a})},e.prototype.resetStates=function(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},e.prototype.build=function(t){var e=this;rh(this.forwardLayer.name,function(){e.forwardLayer.build(t)}),rh(this.backwardLayer.name,function(){e.backwardLayer.build(t)}),this.built=!0},Object.defineProperty(e.prototype,"trainableWeights",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"nonTrainableWeights",{get:function(){return 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0===(o=e.getNumberParam(t.attr,r.tfName,r.defaultValue||0))&&r.tfDeprecatedName&&(o=e.getNumberParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"number[]":void 0===(o=e.getNumericArrayParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getNumericArrayParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"bool":void 0===(o=e.getBoolParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getBoolParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"shape":void 0===(o=e.getTensorShapeParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getTensorShapeParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"dtype":void 0===(o=e.getDtypeParam(t.attr,r.tfName,r.defaultValue))&&r.tfDeprecatedName&&(o=e.getDtypeParam(t.attr,r.tfDeprecatedName,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+r.type+" for op: "+t.op)}return n[r.name]={value:o,type:i},n},{})),r},t.prototype.decodeBase64=function(t){if("undefined"!=typeof atob)return atob(t);if("undefined"!=typeof Buffer)return new Buffer(t,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")},t.prototype.getStringParam=function(t,e,n,r){void 0===r&&(r=!1);var i=t[e];if(void 0!==i){var o=Array.isArray(i.s)?String.fromCharCode.apply(null,i.s):this.decodeBase64(i.s);return r?o:o.toLowerCase()}return n},t.prototype.getBoolParam=function(t,e,n){var r=t[e];return r?r.b:n},t.prototype.getNumberParam=function(t,e,n){var r=t[e]||{},i=r.i?r.i:r.f?r.f:n;return"number"==typeof i?i:parseInt(i,10)},t.prototype.getDtypeParam=function(t,e,n){var r=t[e];if(r&&r.type){var i=r.type;switch("string"==typeof r.type&&(i=Mg.DataType[r.type]),i){case Mg.DataType.DT_FLOAT:return"float32";case Mg.DataType.DT_INT32:return"int32";case Mg.DataType.DT_BOOL:return"bool";default:return n}}return n},t.prototype.getTensorShapeParam=function(t,e,n){var r=t[e];if(r&&r.shape){if(r.shape.unknownRank)return;if(null!=r.shape.dim)return r.shape.dim.map(function(t){return"number"==typeof t.size?t.size:parseInt(t.size,10)})}return n},t.prototype.getNumericArrayParam=function(t,e,n){var r=t[e];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(t){return"number"==typeof t?t:parseInt(t,10)}):n},t}(),py=function(t,e,n){switch(t.op){case"BiasAdd":case"Add":return[hu(Ug("a",t,e,n),Ug("b",t,e,n))];case"AddN":return[fu(Ug("tensors",t,e,n))];case"FloorMod":case"Mod":return[Su(Ug("a",t,e,n),Ug("b",t,e,n))];case"Mul":return[Eu(Ug("a",t,e,n),Ug("b",t,e,n))];case"RealDiv":case"Div":return[gu(Ug("a",t,e,n),Ug("b",t,e,n))];case"FloorDiv":return[vu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Sub":return[Du(Ug("a",t,e,n),Ug("b",t,e,n))];case"Minimum":return[xu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Maximum":return[bu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Pow":return[ku(Ug("a",t,e,n),Ug("b",t,e,n))];case"SquaredDifference":return[Tu(Ug("a",t,e,n),Ug("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},hy=function(t,e,n){switch(t.op){case"Abs":return[fa(Ug("x",t,e,n))];case"Acos":return[da(Ug("x",t,e,n))];case"Acosh":return[ma(Ug("x",t,e,n))];case"Asin":return[ga(Ug("x",t,e,n))];case"Asinh":return[ya(Ug("x",t,e,n))];case"Atan":return[va(Ug("x",t,e,n))];case"Atan2":return[mu(Ug("x",t,e,n),Ug("y",t,e,n))];case"Atanh":return[ba(Ug("x",t,e,n))];case"Ceil":return[wa(Ug("x",t,e,n))];case"Cos":return[Na(Ug("x",t,e,n))];case"Cosh":return[Sa(Ug("x",t,e,n))];case"Elu":return[Bu(Ug("x",t,e,n))];case"Erf":return[Ca(Ug("x",t,e,n))];case"Exp":return[Ea(Ug("x",t,e,n))];case"Expm1":return[Ia(Ug("x",t,e,n))];case"Floor":return[ka(Ug("x",t,e,n))];case"Log":return[Aa(Ug("x",t,e,n))];case"Log1p":return[Ta(Ug("x",t,e,n))];case"Neg":return[Da(Ug("x",t,e,n))];case"Reciprocal":return[Oa(Ug("x",t,e,n))];case"Relu":return[Vu(Ug("x",t,e,n))];case"Round":return[_a(Ug("x",t,e,n))];case"Selu":return[ju(Ug("x",t,e,n))];case"Sigmoid":return[La(Ug("x",t,e,n))];case"Sin":return[za(Ug("x",t,e,n))];case"Sign":return[Fa(Ug("x",t,e,n))];case"Sinh":return[Pa(Ug("x",t,e,n))];case"Softplus":return[Ba(Ug("x",t,e,n))];case"Sqrt":return[Ua(Ug("x",t,e,n))];case"Square":return[Wa(Ug("x",t,e,n))];case"Tanh":return[qa(Ug("x",t,e,n))];case"Tan":return[ja(Ug("x",t,e,n))];case"Relu6":case"ClipByValue":return[xa(Ug("x",t,e,n),Ug("clipValueMin",t,e,n),Ug("clipValueMax",t,e,n))];case"Rsqrt":return[Ma(Wg(t.inputNames[0],e,n))];case"Prod":return[Qs(Ug("x",t,e,n),Ug("axes",t,e,n))];case"LeakyRelu":return[Uu(Ug("x",t,e,n),Ug("alpha",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},fy=function(){function t(e,n,r,i,o,a,s){this.name=e,this.dtype=n,this.maxSize=r,this.elementShape=i,this.identicalElementShapes=o,this.dynamicSize=a,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.id=t.nextId++}return Object.defineProperty(t.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),t.prototype.clearAndClose=function(){this.tensors.forEach(function(t){return t.tensor.dispose()}),this.tensors=[],this.closed_=!0},t.prototype.size=function(){return this.tensors.length},t.prototype.read=function(t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||t>=this.tensors.length)throw new Error("Tried to read from index "+t+", but array size is: "+this.tensors.length);var e=this.tensors[t];if(e.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+t+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor},t.prototype.readMany=function(t){var e=this;return t.map(function(t){return e.read(t)})},t.prototype.write=function(t,e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error("Tried to write to index "+t+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+",\n          because the value dtype is "+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=e.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),n&&n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(n&&n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");n.tensor=e,n.written=!0,this.tensors[t]=n},t.prototype.writeMany=function(t,e){var n=this;if(t.length!==e.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+t.length+" is not the same as tensors size: "+e.length+".");t.forEach(function(t,r){return n.write(t,e[r])})},t.prototype.gather=function(t,e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+e);if(!t){t=[];for(var n=0;n<this.size();n++)t.push(n)}if(0===t.length)return Te([],[0].concat(this.elementShape));var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),oa(r,0)},t.prototype.concat=function(t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+t);if(0===this.size())return Te([],[0].concat(this.elementShape));for(var e=[],n=0;n<this.size();n++)e.push(n);var r=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),xo(r,0)},t.prototype.scatter=function(t,e){if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var n=Math.max.apply(Math,t);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(t,ua(e,0))},t.prototype.split=function(t,e){var n=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,i=t.map(function(t){return r+=t});if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===r?0:e.size/r,a=[];qt(function(){e=e.reshape([1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:i[s-1],0],l=[1,t[s],o];a[s]=zs(e,u,l).reshape(n.elementShape)}return a});for(var s=[],u=0;u<t.length;u++)s[u]=u;this.writeMany(s,a)},t.prototype.assertShapesMatchAllowUndefinedSize=function(t,e,n){void 0===n&&(n=""),X.assert(this.shapesEqualAllowUndefinedSize(t,e),function(){return n+" Shapes "+t+" and "+e+" must match"})},t.prototype.shapesEqualAllowUndefinedSize=function(t,e){if(t.length!==e.length)return!1;for(var n=0;n<t.length;n++)if(-1!==t[n]&&-1!==e[n]&&t[n]!==e[n])return!1;return!0},t.nextId=0,t}();var dy=function(t,e,n){switch(t.op){case"Conv1D":var r=Ug("stride",t,e,n),i=Ug("pad",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase(),a=Ug("dilation",t,e,n);return[ys(Ug("x",t,e,n),Ug("filter",t,e,n),r,i,o,a)];case"Conv2D":r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase();var s=Ug("dilations",t,e,n);return[vs(Ug("x",t,e,n),Ug("filter",t,e,n),[r[1],r[2]],i,o,[s[0],s[1]])];case"Conv2DBackpropInput":case"Conv2dTranspose":var u=Ug("outputShape",t,e,n);return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),[Ss(Ug("x",t,e,n),Ug("filter",t,e,n),u,[r[1],r[2]],i)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),s=Ug("dilations",t,e,n),o=Ug("dataFormat",t,e,n).toUpperCase(),[xs(Ug("input",t,e,n),Ug("filter",t,e,n),[r[1],r[2]],i,o,[s[0],s[1]])];case"AvgPool":r=Ug("strides",t,e,n),i=Ug("pad",t,e,n);var l=Ug("kernelSize",t,e,n);return[Ls(Ug("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];case"MaxPool":return r=Ug("strides",t,e,n),i=Ug("pad",t,e,n),l=Ug("kernelSize",t,e,n),[Ms(Ug("x",t,e,n),[l[1],l[2]],[r[1],r[2]],i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},my=function(t,e,n){switch(t.op){case"Fill":var r=Ug("shape",t,e,n),i=Ug("dtype",t,e,n);return[Be(r,Ug("value",t,e,n),i)];case"LinSpace":var o=Ug("start",t,e,n);return[Ue(o,Ug("stop",t,e,n),Ug("num",t,e,n))];case"OneHot":var a=Ug("indices",t,e,n),s=Ug("depth",t,e,n),u=Ug("onValue",t,e,n),l=Ug("offValue",t,e,n);return[Ko(a,s,u,l)];case"Ones":return[ze(Ug("shape",t,e,n),Ug("dtype",t,e,n))];case"OnesLike":return[Ve(Ug("x",t,e,n))];case"RandomUniform":return[ea(Ug("shape",t,e,n),Ug("minval",t,e,n),Ug("maxval",t,e,n),Ug("dtype",t,e,n))];case"Range":return[We(o=Ug("start",t,e,n),Ug("stop",t,e,n),Ug("step",t,e,n),Ug("dtype",t,e,n))];case"TruncatedNormal":r=Ug("shape",t,e,n);var c=Ug("mean",t,e,n),p=Ug("stdDev",t,e,n),h=Ug("seed",t,e,n);return[sa(r,c,p,Ug("dtype",t,e,n),h)];case"Zeros":return[Pe(Ug("shape",t,e,n),Ug("dtype",t,e,n))];case"ZerosLike":return[je(Ug("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}};var gy=function(t,e,n){switch(t.op){case"TopKV2":var r=Ug("x",t,e,n),i=Ug("k",t,e,n),o=Ug("sorted",t,e,n),a=el(r,i,o);return[a.values,a.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}},yy=function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=Ug("default",t,e,n);return[Wg(t.name,e,n)||r];case"Placeholder":return[Wg(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[Ug("x",t,e,n).clone()];case"Shape":return[De(Ug("x",t,e,n).shape,"int32")];case"ShapeN":return Ug("x",t,e,n).map(function(t){return De(t.shape)});case"Size":return[Re(Ug("x",t,e,n).size,"int32")];case"Rank":return[Re(Ug("x",t,e,n).rank,"int32")];case"NoOp":return[];case"Print":var i=Ug("x",t,e,n),o=Ug("data",t,e,n),a=Ug("message",t,e,n),s=Ug("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(a);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[u].dataSync()).slice(0,s));return[i];default:throw TypeError("Node type "+t.op+" is not implemented")}},vy=function(t,e,n){switch(t.op){case"ResizeBilinear":var r=Ug("images",t,e,n),i=Ug("size",t,e,n),o=Ug("alignCorners",t,e,n);return[Rl.resizeBilinear(r,[i[0],i[1]],o)];case"ResizeNearestNeighbor":return r=Ug("images",t,e,n),i=Ug("size",t,e,n),o=Ug("alignCorners",t,e,n),[Rl.resizeNearestNeighbor(r,[i[0],i[1]],o)];case"CropAndResize":var a=Ug("image",t,e,n),s=Ug("boxes",t,e,n),u=Ug("boxInd",t,e,n),l=Ug("cropSize",t,e,n),c=Ug("method",t,e,n),p=Ug("extrapolationValue",t,e,n);return[Rl.cropAndResize(a,s,u,l,c,p)];default:throw TypeError("Node type "+t.op+" is not implemented")}},by=function(t,e,n){switch(t.op){case"Equal":return[tu(Ug("a",t,e,n),Ug("b",t,e,n))];case"NotEqual":return[cu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Greater":return[nu(Ug("a",t,e,n),Ug("b",t,e,n))];case"GreaterEqual":return[ru(Ug("a",t,e,n),Ug("b",t,e,n))];case"Less":return[au(Ug("a",t,e,n),Ug("b",t,e,n))];case"LessEqual":return[su(Ug("a",t,e,n),Ug("b",t,e,n))];case"LogicalAnd":return[_u(Ug("a",t,e,n),Ug("b",t,e,n))];case"LogicalNot":return[Mu(Ug("a",t,e,n))];case"LogicalOr":return[Lu(Ug("a",t,e,n),Ug("b",t,e,n))];case"Select":return[zu(Ug("condition",t,e,n),Ug("a",t,e,n),Ug("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},wy=function(t,e,n){switch(t.op){case"BatchMatMul":case"MatMul":return[Cs(Ug("a",t,e,n),Ug("b",t,e,n),Ug("transposeA",t,e,n),Ug("transposeB",t,e,n))];case"Transpose":return[qu(Ug("x",t,e,n),Ug("perm",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},xy=function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[es(Ug("x",t,e,n),Ug("mean",t,e,n),Ug("variance",t,e,n),Ug("offset",t,e,n),Ug("scale",t,e,n),Ug("epsilon",t,e,n))];case"LRN":return[Gu(Ug("x",t,e,n),Ug("radius",t,e,n),Ug("bias",t,e,n),Ug("alpha",t,e,n),Ug("beta",t,e,n))];case"Softmax":return[Ce(Ug("x",t,e,n))];case"LogSoftmax":return[Ee(Ug("x",t,e,n))];case"SparseToDense":return[ul(Ug("sparseIndices",t,e,n),Ug("outputShape",t,e,n),Ug("sparseValues",t,e,n),Ug("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Ny=function(t,e,n){switch(t.op){case"Max":var r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n);return[$s(Ug("x",t,e,n),r,i)];case"Mean":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Xs(Ug("x",t,e,n),r,i)];case"Min":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Ys(Ug("x",t,e,n),r,i)];case"Sum":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Zs(Ug("x",t,e,n),r,i)];case"All":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[js(Ug("x",t,e,n),r,i)];case"Any":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[qs(Ug("x",t,e,n),r,i)];case"ArgMax":return r=Ug("axis",t,e,n),[Gs(Ug("x",t,e,n),r)];case"ArgMin":return r=Ug("axis",t,e,n),[Hs(Ug("x",t,e,n),r)];case"Prod":return r=Ug("axis",t,e,n),i=Ug("keepDims",t,e,n),[Qs(Ug("x",t,e,n),r,i)];default:throw TypeError("Node type "+t.op+" is not implemented")}},Sy=function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=Ug("axis",t,e,n),i=Ug("tensors",t,e,n);return[xo(i,r)];case"GatherV2":case"Gather":r=Ug("axis",t,e,n);var o=Ug("x",t,e,n),a=Ug("indices",t,e,n);return[Xu(o,a.asType("int32"),r)];case"ReverseV2":case"Reverse":return r=Ug("axis",t,e,n),o=Ug("x",t,e,n),[ks(o,r)];case"Slice":var s=Ug("begin",t,e,n),u=Ug("size",t,e,n);return[zs(Ug("x",t,e,n),s,u)];case"StridedSlice":s=Ug("begin",t,e,n);var l=Ug("end",t,e,n),c=Ug("strides",t,e,n),p=Ug("beginMask",t,e,n),h=Ug("endMask",t,e,n),f=Ug("ellipsisMask",t,e,n),d=Ug("newAxisMask",t,e,n),m=Ug("shrinkAxisMask",t,e,n),g=Ug("x",t,e,n);if(1===s.length&&g.shape.length>1)for(var y=1;y<g.shape.length;y++)s.push(0),l.push(g.shape[y]),c.push(c[0]);return[tl(g,s,l,c,p,h,f,d,m)];case"Pack":return qt(function(){var r=Ug("axis",t,e,n),i=Ug("tensors",t,e,n),o=i[0].shape,a=i[0].squeeze().shape,s=i.map(function(t){var e=X.arraysEqual(t.shape,o);if(!e&&!X.arraysEqual(t.squeeze().shape,a))throw new Error("the input tensors shape does not match");return e?t:t.reshape(o)});return[oa(s,r)]});case"Unpack":return qt(function(){var r=Ug("axis",t,e,n),i=Ug("tensor",t,e,n);return ua(i,r)});case"Tile":var v=Ug("reps",t,e,n);return[aa(Ug("x",t,e,n),v)];case"Split":case"SplitV":r=Ug("axis",t,e,n);var b=Ug("numOrSizeSplits",t,e,n);return Io(Ug("x",t,e,n),b,r);case"ScatterNd":a=Ug("indices",t,e,n);var w=Ug("values",t,e,n),x=Ug("shape",t,e,n);return[nl(a,w,x)];case"GatherNd":var N=Ug("x",t,e,n);return a=Ug("indices",t,e,n),[ll(N,a)];case"SparseToDense":a=Ug("sparseIndices",t,e,n),x=Ug("outputShape",t,e,n);var S=Ug("sparseValues",t,e,n),C=Ug("defaultValue",t,e,n);return[ul(a,S,x,S.dtype===C.dtype?C:C.asType(S.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Cy=function(t,e,n){switch(t.op){case"FFT":return[rl(Ug("x",t,e,n))];case"IFFT":return[il(Ug("x",t,e,n))];case"RFFT":return[ol(Ug("x",t,e,n))];case"IRFFT":return[al(Ug("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}},Ey=function(t,e,n){switch(t.op){case"Cast":return[Uo(Ug("x",t,e,n),Ug("dtype",t,e,n))];case"ExpandDims":var r=Ug("axis",t,e,n);return[qo(Ug("x",t,e,n),r)];case"Squeeze":return r=Ug("axis",t,e,n),[ia(Ug("x",t,e,n),r)];case"Reshape":return[na(Ug("x",t,e,n),Ug("shape",t,e,n))];case"PadV2":case"Pad":return[$o(Ug("x",t,e,n),Gg(Ug("padding",t,e,n),2),Ug("constantValue",t,e,n))];case"SpaceToBatchND":var i=Ug("blockShape",t,e,n),o=Gg(Ug("paddings",t,e,n),2);return[ra(Ug("x",t,e,n),i,o)];case"BatchToSpaceND":i=Ug("blockShape",t,e,n);var a=Gg(Ug("crops",t,e,n),2);return[Bo(Ug("x",t,e,n),i,a)];case"DepthToSpace":var s=Ug("blockSize",t,e,n),u=Ug("dataFormat",t,e,n).toUpperCase();return[jo(Ug("x",t,e,n),s,u)];default:throw TypeError("Node type "+t.op+" is not implemented")}};function Iy(t,e,n){var r=function(t,e,n){switch(t.category){case"arithmetic":return py(t,e,n);case"basic_math":return hy(t,e,n);case"control":return function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p,h,f,d,m,g,y,v,b,w,x,N,S,C,E,I,k,A,T,R,D,O,_,M,L,F;return Bg(this,function(z){switch(z.label){case 0:switch(t.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[Ug("pred",t,e,n).clone()]];case 2:return r=Ug("pred",t,e,n),i=Ug("data",t,e,n),[4,r.data()];case 3:return[2,z.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(o=t.inputNames.find(function(t){return void 0!==Wg(t,e,n)}))?[Wg(o,e,n).clone()]:void 0];case 5:return a=Ug("frameName",t,e,n),s=Ug("tensor",t,e,n),n.enterFrame(a),[2,[s.clone()]];case 6:return u=Ug("tensor",t,e,n),n.exitFrame(),[2,[u.clone()]];case 7:return l=Ug("tensor",t,e,n),n.nextIteration(),[2,[l.clone()]];case 8:return c=Ug("size",t,e,n),p=Ug("dtype",t,e,n),h=Ug("elementShape",t,e,n),f=Ug("dynamicSize",t,e,n),d=Ug("clearAfterRead",t,e,n),m=Ug("identicalElementShapes",t,e,n),g=Ug("name",t,e,n),y=new fy(g,p,c,h,m,f,d),n.addTensorArray(y),[2,[Re(y.id),Re(1)]];case 9:return v=Ug("tensorArrayId",t,e,n),b=Ug("index",t,e,n),w=Ug("tensor",t,e,n),n.getTensorArray(v).write(b,w),[2,[Re(1)]];case 10:return x=Ug("tensorArrayId",t,e,n),N=Ug("index",t,e,n),[2,[n.getTensorArray(x).read(N)]];case 11:return S=Ug("tensorArrayId",t,e,n),C=Ug("indices",t,e,n),E=Ug("dtype",t,e,n),[2,[n.getTensorArray(S).gather(C,E)]];case 12:return I=Ug("tensorArrayId",t,e,n),k=Ug("indices",t,e,n),A=Ug("tensor",t,e,n),n.getTensorArray(I).scatter(k,A),[2,[Re(1)]];case 13:return T=Ug("tensorArrayId",t,e,n),R=n.getTensorArray(T),D=Ug("dtype",t,e,n),[2,[R.concat(D)]];case 14:return O=Ug("tensorArrayId",t,e,n),_=Ug("tensor",t,e,n),M=Ug("lengths",t,e,n),n.getTensorArray(O).split(M,_),[2,[Re(1)]];case 15:return L=Ug("tensorArrayId",t,e,n),[2,[Re(n.getTensorArray(L).size(),"int32")]];case 16:return F=Ug("tensorArrayId",t,e,n),n.getTensorArray(F).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"convolution":return dy(t,e,n);case"creation":return my(t,e,n);case"dynamic":return function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s;return Bg(this,function(u){switch(u.label){case 0:switch(t.op){case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,3];case"ListDiff":return[3,5]}return[3,7];case 1:return r=Ug("boxes",t,e,n),i=Ug("scores",t,e,n),o=Ug("maxOutputSize",t,e,n),a=Ug("iouThreshold",t,e,n),s=Ug("scoreThreshold",t,e,n),[4,Rl.nonMaxSuppressionAsync(r,i,o,a,s)];case 2:return[2,[u.sent()]];case 3:return[4,Pu(Ug("condition",t,e,n))];case 4:return[2,[u.sent()]];case 5:return[4,la(Ug("x",t,e,n),Ug("y",t,e,n))];case 6:return[2,u.sent()];case 7:throw TypeError("Node type "+t.op+" is not implemented")}})})}(t,e,n);case"evaluation":return gy(t,e,n);case"image":return vy(t,e,n);case"graph":return yy(t,e,n);case"logical":return by(t,e,n);case"matrices":return wy(t,e,n);case"normalization":return xy(t,e,n);case"reduction":return Ny(t,e,n);case"slice_join":return Sy(t,e,n);case"spectral":return Cy(t,e,n);case"transformation":return Ey(t,e,n);default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n);return r instanceof Promise?r.then(function(t){return[].concat(t)}):[].concat(r)}var ky=function(){function t(t,e){this.weightMap=t,this.tensorArrayMap=e,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return t.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(t.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),t.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var n=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(n))}t.push(""),this._currentContextIds=t},t.prototype.contextIdforContexts=function(t){return t?t.map(function(t){return 0===t.id&&0===t.iterationId?"":t.frameName+"-"+t.iterationId}).join("/"):""},t.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},t.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.prototype.getWeight=function(t){return this.weightMap[t]},t.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},t.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},t}(),Ay=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=t.placeholders,this._outputs=t.outputs,this.compile()}return Object.defineProperty(t.prototype,"weightMap",{get:function(){return this._weightMap},set:function(t){var e=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})});this.weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputs",{get:function(){return this.placeholders.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(t){return t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"outputNodes",{get:function(){return this.outputs.map(function(t){return t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"isControlFlowModel",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"isDynamicShapeModel",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),t.prototype.compile=function(t){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var e=[],n=t||this.graph.placeholders,r=n.map(function(t){return t.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var i=n.concat(this.graph.weights),o={};i.length>0;){var a=i.pop();o[a.name]=!0,e.push(a),a.children.forEach(function(t){!o[t.name]&&t.inputNames.every(function(t){var e=Vg(t)[0];return o[e]})&&i.push(t)})}this.compiledMap.set(r,e)}}},t.prototype.execute=function(t,e,n){var r=this;void 0===e&&(e=!0);var i=Object.keys(t).sort();this.checkInput(t,e),this.checkInputShapeAndType(t,e),this.compile(i.map(function(t){return r.graph.nodes[t]}));var o=this.calculateOutputs(n);this.checkOutput(this.compiledMap.get(i.join(this.SEPERATOR)),o);var a={};return qt(function(){for(var e=new ky(r._weightMap,a),n=zg({},r.weightMap,t),s=r.getFrozenTensorIds(n),u={},l=r.compiledMap.get(i.join(r.SEPERATOR)),c=0;c<l.length;c++){var p=l[c];if(n[p.name]||(n[p.name]=Iy(p,n,e),r.checkTensorForDisposal(p.name,p,n,e,s,o,u)),o.every(function(t){return!!n[t]}))break}return r.findOutputs(n,e,o)})},t.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(e){return t[e]}).map(function(t){return t.map(function(t){return t.id})}));return new Set(e)},t.prototype.checkTensorForDisposal=function(t,e,n,r,i,o,a){"control"!==e.category&&-1===o.indexOf(t)&&(n[t].forEach(function(t){null!=t&&(a[t.id]=(a[t.id]||0)+e.children.length)}),e.inputs.forEach(function(t){if("control"!==t.category){var e=function(t,e,n){return e[jg(t,n.currentContextId)]}(t.name,n,r);null!=e&&e.forEach(function(t){if(t&&!i.has(t.id)){var e=a[t.id];1===e?(t.dispose(),delete a[t.id]):null!=e&&a[t.id]--}})}}))},t.prototype.executeAsync=function(t,e){return Pg(this,void 0,void 0,function(){var n,r,i,o,a,s,u,l,c=this;return Bg(this,function(p){switch(p.label){case 0:return this.checkInput(t,!1),this.checkInputShapeAndType(t,!1),n={},r=new ky(this._weightMap,n),i=this.calculateOutputs(e),[4,this.executeWithControlFlow(t,r,i)];case 1:return o=p.sent(),a=this.findOutputs(o,r,e),s=Object.keys(a).map(function(t){return a[t].id}),u=Object.keys(t).map(function(e){return t[e].map(function(t){return t.id})}),l=[].concat.apply([],u),Object.keys(o).forEach(function(t){o[t].forEach(function(t){t&&!t.isDisposed&&-1===s.indexOf(t.id)&&-1===l.indexOf(t.id)&&-1===c.weightIds.indexOf(t.id)&&t.dispose()})}),[2,a]}})})},t.prototype.executeWithControlFlow=function(t,e,n){return Pg(this,void 0,void 0,function(){var r,i,o,a,s,u,l,c,p=this;return Bg(this,function(h){switch(h.label){case 0:r=Object.keys(t),i=r.map(function(t){return p.graph.nodes[t]}),o=i.concat(this.graph.weights).map(function(t){return{node:t,contexts:e.currentContext}}),a=zg({},this.weightMap,t),s={},u=this.getFrozenTensorIds(a),l={},h.label=1;case 1:return o.length>0?(c=this.processStack(i,o,e,a,l,u,n,s),[4,Promise.all(c)]):[3,3];case 2:return h.sent(),[3,1];case 3:return[2,a]}})})},t.prototype.processStack=function(t,e,n,r,i,o,a,s){for(var u=this,l=[],c=function(){var c=e.pop();n.currentContext=c.contexts;var h="";if("Enter"===c.node.op&&Ug("isConstant",c.node,r,n)&&(h=Vg(c.node.name,n)[0]),-1===t.indexOf(c.node)){var f=Iy(c.node,r,n);h||(h=Vg(c.node.name,n)[0]);var d=n.currentContext;f instanceof Promise?l.push(f.then(function(t){return r[h]=t,n.currentContext=d,u.checkTensorForDisposal(h,c.node,r,n,o,a,s),u.processChildNodes(c.node,e,n,r,i),t})):(r[h]=f,p.checkTensorForDisposal(h,c.node,r,n,o,a,s),p.processChildNodes(c.node,e,n,r,i))}else p.processChildNodes(c.node,e,n,r,i)},p=this;e.length>0;)c();return l},t.prototype.processChildNodes=function(t,e,n,r,i){t.children.forEach(function(t){var o=Vg(t.name,n)[0];i[o]||("Merge"===t.op?t.inputNames.some(function(t){return!!Wg(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})):t.inputNames.every(function(t){return!!Wg(t,r,n)})&&(i[o]=!0,e.push({contexts:n.currentContext,node:t})))})},t.prototype.calculateOutputs=function(t){return!t||t instanceof Array||(t=[t]),t||this.graph.outputs.map(function(t){return t.name})},t.prototype.findOutputs=function(t,e,n){return this.calculateOutputs(n).reduce(function(n,r){return n[r]=Wg(r,t,e),n},{})},t.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(t){return t.dispose()})})},t.prototype.checkInputShapeAndType=function(t,e){void 0===e&&(e=!0),this.placeholders.forEach(function(n){var r=t[n.name];if(e||r){var i=r[0];if(n.attrParams.shape&&n.attrParams.shape.value){var o=n.attrParams.shape.value,a=o.length===i.shape.length&&i.shape.every(function(t,e){return-1===o[e]||o[e]===t});X.assert(a,function(){return"The shape of dict['"+n.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+i.shape+"]"})}n.attrParams.dtype&&n.attrParams.dtype.value&&X.assert(i.dtype===n.attrParams.dtype.value,function(){return"The dtype of dict['"+n.name+"'] provided in model.execute(dict) must be "+n.attrParams.dtype.value+", but was 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