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ml5.js Feature Extractor Classify Template
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| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Image Classification using Feature Extraction with MobileNet. Built with p5.js</title> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.6.1/p5.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.6.1/addons/p5.dom.min.js"></script> | |
| <script src="ml5.min.js" type="text/javascript"></script> | |
| <style> | |
| button { | |
| margin: 2px; | |
| padding: 4px; | |
| } | |
| video { | |
| width: 300; | |
| height: 300; | |
| } | |
| p { | |
| display: inline; | |
| font-size: 14px; | |
| } | |
| h6 { | |
| margin: 4px; | |
| font-weight: lighter; | |
| font-size: 14px; | |
| margin-bottom: 10px; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <h2>Feature ExtractionとMobileNetで画像をクラス分けしてみる</h2> | |
| <h3>(猫か犬かの区別をニューラルネットで学習)</h3> | |
| <div id="videoContainer"></div> | |
| <h6><span id="modelStatus">Loading base model...</span></h6> | |
| <p> | |
| <button id="catButton">Add Cat Image</button> | |
| <p> | |
| <span id="amountOfCatImages">0</span> Cat Images</p> | |
| <br> | |
| <button id="dogButton">Add Dog Image</button> | |
| <p> | |
| <span id="amountOfDogImages">0</span> Dog Images</p> | |
| </p> | |
| <br/> | |
| <p> | |
| <button id="train">Train</button> | |
| <span id="loss"></span> | |
| </p> | |
| <br/> | |
| <p> | |
| <button id="buttonPredict">Start guessing!</button> | |
| <br> Your custom model labeled this as: | |
| <span id="result">...</span> | |
| </p> | |
| <script src="sketch.js"></script> | |
| </body> | |
| </html> |
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s=e,u=!1;3===e.rank&&(u=!0,s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var c=o.ENV.engine.runKernel(function(e){return e.localResponseNormalization4D(s,t,n,r,a)},{x4D:s});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c},function(e,t,n,r){var a,o=arguments.length,i=o<3?t:null===r?r=Object.getOwnPropertyDescriptor(t,n):r;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)i=Reflect.decorate(e,t,n,r);else for(var s=e.length-1;s>=0;s--)(a=e[s])&&(i=(o<3?a(i):o>3?a(t,n,i):a(t,n))||i);o>3&&i&&Object.defineProperty(t,n,i)}([Object(a.a)({heading:"Operations",subheading:"Normalization"}),u.a],e,"localResponseNormalization",null),e}(),j=function(e,t,n,r){var a,o=arguments.length,i=o<3?t:null===r?r=Object.getOwnPropertyDescriptor(t,n):r;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)i=Reflect.decorate(e,t,n,r);else for(var s=e.length-1;s>=0;s--)(a=e[s])&&(i=(o<3?a(i):o>3?a(t,n,i):a(t,n))||i);return o>3&&i&&Object.defineProperty(t,n,i),i},D=function(){function 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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 < "+e.batchSize+"; b++) {\n for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n int xR = wR + yR * "+t+" - "+r+";\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n int xC = wC + yC * "+n+" - "+a+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n "},R=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n const ivec2 pads = ivec2("+o+", "+i+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < "+t+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+t+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+n+" - 1 - wC;\n\n // 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 "},M=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,o=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,c=4*Math.floor(e.inChannels/4),l=e.inChannels%4;this.userCode="\n const ivec2 strides = ivec2("+r+", "+a+");\n const ivec2 pads = ivec2("+t+", "+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 >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+u+"; wC++) {\n int xC = xCCorner + wC * "+i+";\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+c+"; 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===l)+") {\n dotProd +=\n getX(batch, xR, xC, "+c+") *\n getW(wR, wC, "+c+", d2);\n } else if ("+(2===l)+") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, "+c+"),\n getX(batch, xR, xC, "+c+" + 1)\n );\n vec2 wValues = vec2(\n getW(wR, wC, "+c+", d2),\n getW(wR, wC, "+c+" + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if ("+(3===l)+") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, "+c+"),\n getX(batch, xR, xC, "+c+" + 1),\n getX(batch, xR, xC, "+c+" + 2)\n );\n vec3 wValues = vec3(\n getW(wR, wC, "+c+", d2),\n getW(wR, wC, "+c+" + 1, d2),\n getW(wR, wC, "+c+" + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n setOutput(dotProd);\n }\n "},j=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,o=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,c=e.filterHeight,l=e.filterWidth,f=e.outChannels/e.inChannels;this.userCode="\n const ivec2 strides = ivec2("+o+", "+i+");\n const ivec2 pads = ivec2("+r+", "+a+");\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 / "+f+";\n int q = d2 - d1 * "+f+";\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 < "+c+"; wR++) {\n int xR = xRCorner + wR * "+s+";\n\n if (xR < 0 || xR >= "+t+") {\n continue;\n }\n\n for (int wC = 0; wC < "+l+"; 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 "};function D(e,t){return[t,e]}function L(e,t){return e*t}!function(e){e[e.FLOAT=0]="FLOAT",e[e.UNSIGNED_BYTE=1]="UNSIGNED_BYTE"}(x||(x={}));var z=-2e4,F=(2e4-z)/255,B=[1,1/255,1/65025,1/16581375],V=[1,255,65025],U=0;function W(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function G(e,t){var n=W(e,t);return n[0]*n[1]*4}function q(e,t,n,r){var a=c.ENV.get("WEBGL_FLOAT_TEXTURE_ENABLED")?X:H,o=c.ENV.get("WEBGL_FLOAT_TEXTURE_ENABLED")?J:K,i=e.map(function(e){return"uniform sampler2D "+e.name+";"}).join("\n"),s=e.map(function(e){return function(e,t,n){var r=function(e){var t=e.name,n=e.shapeInfo.texShape,r="get"+t.charAt(0).toUpperCase()+t.slice(1)+"Flat",a=n[0],o=n[1];return 1===o&&1===a?"\n float "+r+"(int index) {\n return sampleTexture("+t+", halfCR);\n }\n ":1===o?"\n float "+r+"(int index) {\n vec2 uv = vec2(0.5, (float(index) + 0.5) / "+a+".0);\n return sampleTexture("+t+", uv);\n }\n ":1===a?"\n float "+r+"(int index) {\n vec2 uv = vec2((float(index) + 0.5) / "+o+".0, 0.5);\n return sampleTexture("+t+", uv);\n }\n ":"\n float "+r+"(int index) {\n vec2 uv = UVfrom1D("+a+", "+o+", index);\n return sampleTexture("+t+", uv);\n }\n "}(e);return r+=function e(t){var n,r=t.shapeInfo.logicalShape;switch(r.length){case 0:return"\n float get"+(n=t.name).charAt(0).toUpperCase()+n.slice(1)+"() {\n return sampleTexture("+n+", halfCR);\n }\n ";case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return"\n float "+n+"(int index) {\n return "+n+"Flat(index);\n }\n "}(t);case 2:return function(t){var n=t.shapeInfo.logicalShape,r=t.shapeInfo.texShape,a=t.name,o="get"+a.charAt(0).toUpperCase()+a.slice(1),i=r[0],s=r[1];if(y.arraysEqual(n,r))return"\n float "+o+"(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2("+s+".0, "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ";var u=y.squeezeShape(n),c=u.newShape,l=u.keptDims,f=c;if(f.length<n.length){var p=Z(t,f);return"\n "+e(p)+"\n float "+o+"(int row, int col) {\n return "+o+"("+$(["row","col"],l)+");\n }\n "}return 1===s?"\n float "+o+"(int row, int col) {\n int index = row * "+n[1]+" + col;\n vec2 uv = vec2(0.5, (float(index) + 0.5) / "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ":1===i?"\n float "+o+"(int row, int col) {\n int index = row * "+n[1]+" + col;\n vec2 uv = vec2((float(index) + 0.5) / "+s+".0, 0.5);\n return sampleTexture("+a+", uv);\n }\n ":"\n float "+o+"(int row, int col) {\n vec2 uv = UVfrom2D("+i+", "+s+", "+n[1]+", row, col);\n return sampleTexture("+a+", uv);\n }\n"}(t);case 3:return function(t){var n=t.shapeInfo.texShape,r=t.shapeInfo.logicalShape,a=t.name,o="get"+a.charAt(0).toUpperCase()+a.slice(1),i=n[0],s=n[1],u=r[1]*r[2],c=r[2],l=y.squeezeShape(r),f=l.newShape,p=l.keptDims,h=f;if(h.length<r.length){var d=Z(t,h);return"\n "+e(d)+"\n float "+o+"(int row, int col, int depth) {\n return "+o+"("+$(["row","col","depth"],p)+");\n }\n "}return s===u?"\n float "+o+"(int row, int col, int depth) {\n int texR = row;\n int texC = col * "+c+" + depth;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+s+".0, "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ":s===c?"\n float "+o+"(int row, int col, int depth) {\n int texR = row * "+r[1]+" + col;\n int texC = depth;\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+s+".0, "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ":"\n float "+o+"(int row, int col, int depth) {\n vec2 uv = UVfrom3D(\n "+i+", "+s+", "+u+", "+c+", row, col, depth);\n return sampleTexture("+a+", uv);\n }\n "}(t);case 4:return function(t){var n=t.shapeInfo.logicalShape,r=t.shapeInfo.texShape,a=t.name,o="get"+a.charAt(0).toUpperCase()+a.slice(1),i=r[0],s=r[1],u=n[3],c=n[2]*u,l=n[1]*c,f=y.squeezeShape(n),p=f.newShape,h=f.keptDims;if(p.length<n.length){var d=Z(t,p);return"\n "+e(d)+"\n float "+o+"(int row, int col, int depth, int depth2) {\n return "+o+"("+$(["row","col","depth","depth2"],h)+");\n }\n "}return s===l?"\n float "+o+"(int row, int col, int depth, int depth2) {\n int texR = row;\n int texC = col * "+c+" + depth * "+u+" + depth2;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+s+".0, "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ":s===u?"\n float "+o+"(int row, int col, int depth, int depth2) {\n int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" + depth;\n int texC = depth2;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+s+".0, "+i+".0);\n return sampleTexture("+a+", uv);\n }\n ":"\n float "+o+"(int row, int col, int depth, int depth2) {\n vec2 uv = UVfrom4D("+i+", "+s+", "+l+", "+c+",\n "+u+", row, col, depth, depth2);\n return sampleTexture("+a+", uv);\n }\n "}(t);default:throw new Error(r.length+"-D input sampling is not yet supported")}}(e),(n||y.arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=function(e,t,n){var r=e.shapeInfo.texShape,a=e.name,o=a.charAt(0).toUpperCase()+a.slice(1),i="get"+o+"AtOutCoords",s=S.c(e.shapeInfo.logicalShape,t.logicalShape),u=e.shapeInfo.logicalShape.length,c=t.logicalShape.length,l=n&&(c>u||s.length>0),f=S.b(s);if(l&&!f)return function(e,t,n,r){var a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i="int";2===o?i="ivec2":3===o?i="ivec3":4===o&&(i="ivec4");var s=S.c(e.shapeInfo.logicalShape,t.logicalShape),u=o-a;return"\n float "+r+"() {\n "+i+" coords = getOutputCoords();\n "+(0===a?"":o<2&&s.length>=1?"coords = 0;":s.map(function(e){return"coords["+(e+u)+"] = 0;"}).join("\n"))+"\n return get"+n+"("+(o<2&&a>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords["+(t+u)+"]"}).join(", "))+");\n }\n "}(e,t,o,i);var p=t.texShape;if(y.arraysEqual(r,p))return"\n float "+i+"() {\n return sampleTexture("+a+", resultUV);\n }\n ";var h=y.sizeFromShape(r),d="";return l&&f&&(d="\n int mainPart = index / "+h+";\n index -= mainPart * "+h+";\n "),"\n float "+i+"() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+p[0]+", "+p[1]+"));\n int index = resTexRC.x * "+p[1]+" + resTexRC.y;\n "+d+"\n int texR = index / "+r[1]+";\n int texC = index - texR * "+r[1]+";\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2("+r[1]+".0, "+r[0]+".0);\n\n return sampleTexture("+a+", uv);\n }\n "}(e,t,n)),r}(e,t,r)}).join("\n"),u=t.texShape,l=function(e,t){switch(e.length){case 0:return"\n int getOutputCoords() {\n return 0;\n }\n ";case 1:return function(e,t){return 1===t[0]?"\n int getOutputCoords() {\n return int(resultUV.x * "+t[1]+".0);\n }\n ":1===t[1]?"\n int getOutputCoords() {\n return int(resultUV.y * "+t[0]+".0);\n }\n ":"\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n return resTexRC.x * "+t[1]+" + resTexRC.y;\n }\n "}(0,t);case 2:return function(e,t){return y.arraysEqual(e,t)?"\n ivec2 getOutputCoords() {\n return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n }\n ":1===e[1]?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n return ivec2(index, 0);\n }\n ":1===e[0]?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n return ivec2(0, index);\n }\n ":"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n int r = index / "+e[1]+";\n int c = index - r * "+e[1]+";\n return ivec2(r, c);\n }\n "}(e,t);case 3:return r=t,a=(n=e)[1]*n[2],o=n[2],"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+r[0]+", "+r[1]+"));\n int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n int r = index / "+a+";\n index -= r * "+a+";\n int c = index / "+o+";\n int d = index - c * "+o+";\n return ivec3(r, c, d);\n }\n ";case 4:return function(e,t){var n=e[3],r=e[2]*n,a=e[1]*r;return"\n ivec4 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2("+t[0]+", "+t[1]+"));\n int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n int r = index / "+a+";\n index -= r * "+a+";\n\n int c = index / "+r+";\n index -= c * "+r+";\n\n int d = index / "+n+";\n int d2 = index - d * "+n+";\n\n return ivec4(r, c, d, d2);\n }\n "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var n,r,a,o}(t.logicalShape,u);return[Y,a,o,i,l,s,n].join("\n")}var H="\n uniform float NaN;\n\n const vec4 floatDeltas = vec4(\n 1.0,\n 1.0 / 255.0,\n 1.0 / (255.0 * 255.0),\n 1.0 / (255.0 * 255.0 * 255.0)\n );\n const float minValue = "+z+".0;\n const float maxValue = 20000.0;\n const float range = (maxValue - minValue) / 255.0;\n const vec2 dotRange = vec2(1.0, range);\n\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n vec4 sampleValue = texture2D(textureSampler, uv);\n if (all(equal(sampleValue, vec4("+U+")))) {\n return NaN;\n }\n\n vec4 encValue = floor(sampleValue * 255.0 + 0.5);\n float decodedValue = dot(encValue, floatDeltas);\n return dot(vec2(minValue, decodedValue), dotRange);\n }\n",K="\n const vec4 floatPowers = vec4(\n 1.0,\n 255.0,\n 255.0 * 255.0,\n 255.0 * 255.0 * 255.0\n );\n const vec2 recipRange = vec2(1.0/range);\n const vec2 recipRange255 = vec2(1.0/(maxValue - minValue));\n\n void setOutput(float decodedValue) {\n if (isNaN(decodedValue)) {\n gl_FragColor = vec4("+U+");\n return;\n }\n\n float a = dot(vec2(decodedValue, -minValue), recipRange);\n float b = fract(a) * 255.0;\n float c = fract(b) * 255.0;\n float d = fract(c) * 255.0;\n gl_FragColor = floor(vec4(a, b, c, d)) / 255.0;\n\n // TODO(dsmilkov): Version above gets better accuracy but probably slower\n // than the version below. Benchmark to determine if the accuracy is worth\n // the cost.\n\n // float normValue = dot(vec2(decodedValue, -minValue), recipRange255);\n // vec4 f = normValue * floatPowers;\n // gl_FragColor = floor(fract(f) * 255.0) / 255.0;\n }\n",X="\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return texture2D(textureSampler, uv).r;\n }\n",J="\n void setOutput(float val) {\n gl_FragColor = vec4(val, 0, 0, 0);\n }\n",Y="\n precision highp float;\n precision highp int;\n varying vec2 resultUV;\n const vec2 halfCR = vec2(0.5, 0.5);\n\n bool isNaN(float val) {\n float v1 = val * val;\n float v2 = val * val;\n return v1 == v2 ? false : true;\n }\n\n bool hasNaN(vec4 values) {\n vec4 v1 = values * values;\n vec4 v2 = values * values;\n return any(notEqual(v1, v2));\n }\n\n float getNaN(vec4 values) {\n return dot(vec4(1), values);\n }\n\n int round(float value) {\n return int(floor(value + 0.5));\n }\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n //Based on the work 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r=this.gl;Re(r,e,this.framebuffer),this.autoDebugValidate&&je(r),this.outputTexture=e,se(r,function(){return r.viewport(0,0,t,n)}),se(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),se(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function ht(){return!c.ENV.get("WEBGL_FLOAT_TEXTURE_ENABLED")}function dt(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach(function(e,n){var r=e.logicalShape,a=e.texShape,o=t[n].tensor.shape,i=t[n].texData.texShape;if(!y.arraysEqual(r,o))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+o+" must match");if(!y.arraysEqual(a,i))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+a+" and "+i+" must match")})}var mt=function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<t.length;u++)s.push(""+o[u]),u<e&&i.push(""+o[u]);r=i.join(),a=s.join()}var c=Q(n);this.userCode="\n void main() {\n "+c+" resRC = getOutputCoords();\n float cVal = getC("+r+");\n if (cVal >= 1.0) {\n setOutput(getA("+a+"));\n } else {\n setOutput(getB("+a+"));\n }\n }\n "},gt=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var o,i=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";o=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -"+i+"; j <= "+i+"; 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 "},yt=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=t*n-1;this.userCode="\n const ivec2 pads = ivec2("+o+", "+i+");\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 < "+t+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n int maxPosValue = "+s+" - 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 * "+n+" + wC;\n float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n dotProd += dyValue * mask;\n }\n }\n setOutput(dotProd);\n }\n "},vt=function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=["matrixA","matrixB"];var a=n?e[1]:e[0],o=r?t[0]:t[1],i=n?e[0]:e[1];this.outputShape=[a,o];var s=function(e,t){return n?t+" + "+e+", aRow":"aRow, "+t+" + "+e},u=function(e,t){return r?"bCol, "+t+" + "+e:t+" + "+e+", bCol"},c=4*Math.floor(i/4),l=i%4;this.userCode=" float dotARowBCol(int aRow, int bCol) {\n float result = 0.0;\n for (int i = 0; i < "+c+"; i += 4) {\n vec4 a = vec4(\n getMatrixA("+s(0,"i")+"),\n getMatrixA("+s(1,"i")+"),\n getMatrixA("+s(2,"i")+"),\n getMatrixA("+s(3,"i")+")\n );\n vec4 b = vec4(\n getMatrixB("+u(0,"i")+"),\n getMatrixB("+u(1,"i")+"),\n getMatrixB("+u(2,"i")+"),\n getMatrixB("+u(3,"i")+")\n );\n\n result += dot(a, b);\n }\n\n if ("+(1===l)+") {\n result += getMatrixA("+s(0,c)+") *\n getMatrixB("+u(0,c)+");\n } else if ("+(2===l)+") {\n vec2 a = vec2(\n getMatrixA("+s(0,c)+"),\n getMatrixA("+s(1,c)+")\n );\n vec2 b = vec2(\n getMatrixB("+u(0,c)+"),\n getMatrixB("+u(1,c)+")\n );\n result += dot(a, b);\n } else if ("+(3===l)+") {\n vec3 a = vec3(\n getMatrixA("+s(0,c)+"),\n getMatrixA("+s(1,c)+"),\n getMatrixA("+s(2,c)+")\n );\n vec3 b = vec3(\n getMatrixB("+u(0,c)+"),\n getMatrixB("+u(1,c)+"),\n getMatrixB("+u(2,c)+")\n );\n result += dot(a, b);\n }\n\n return result;\n }\n\n void main() {\n ivec2 resRC = getOutputCoords();\n setOutput(dotARowBCol(resRC.x, resRC.y));\n }\n "},bt=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n uniform float seed;\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < "+(t-1)+"; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float("+(t-1)+"));\n }\n "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),wt=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float("+r+"), float("+n+"),\n float(index == coords.y)));\n }\n "},xt=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=Q(r),o=t.map(function(e){return e[0]}).join(","),i=t.map(function(t,n){return t[0]+e[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n "+a+" start = "+a+"("+o+");\n "+a+" end = "+a+"("+i+");\n\n void main() {\n "+a+" outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(float("+n+"));\n } else {\n "+a+" coords = outC - start;\n setOutput(getX("+s+"));\n }\n }\n ":"\n int start = "+o+";\n int end = "+i+";\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 "},kt=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterHeight,a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var c="avg"===t,l="0.0";if(c||(l="-1.0 / 0.0"),n)this.userCode="\n const ivec2 strides = ivec2("+o+", "+i+");\n const ivec2 pads = ivec2("+s+", "+u+");\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 < "+r+"; wR++) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+a+"; wC++) {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= "+e.inWidth+") {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value >= currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = wR * "+a+" + wC;\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ";else{var f=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(f="avgValue / count");var p=4*Math.floor(a/4),h=a%4,d="\n if ("+c+") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n ";this.userCode="\n const ivec2 strides = ivec2("+o+", "+i+");\n const ivec2 pads = ivec2("+s+", "+u+");\n const float initializationValue = "+l+";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= "+e.inWidth+") {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4("+l+");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < "+r+"; wR++) {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+e.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+p+"; wC += 4) {\n int xC = xCCorner + wC;\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + 1, d),\n getValue(batch, xR, xC + 2, d),\n getValue(batch, xR, xC + 3, d)\n );\n\n "+d+"\n }\n\n int xC = xCCorner + "+p+";\n if ("+(1===h)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+d+"\n } else if ("+(2===h)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + 1, d),\n initializationValue,\n initializationValue\n );\n\n "+d+"\n } else if ("+(3===h)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + 1, d),\n getValue(batch, xR, xC + 2, d),\n initializationValue\n );\n\n "+d+"\n }\n }\n setOutput("+f+");\n }\n "}},Ot=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,o=Math.ceil(a/n);this.outputShape=[r,o];var i="sum"===t,s="0.0";i||(s="min"===t?"1.0 / 0.0":"-1.0 / 0.0");var u="min"===t?"min":"max",c=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t&&(c="sumValue");var l=4*Math.floor(n/4),f=n%4,p="\n if ("+i+") {\n sumValue += dot(values, ones);\n } else {\n minMaxValue = "+u+"(values, minMaxValue);\n }\n ",h="";a%n>0&&(h="\n if (inIdx < 0 || inIdx >= "+a+") {\n return initializationValue;\n }\n "),this.userCode="\n const float initializationValue = "+s+";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n "+h+"\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("+s+");\n float sumValue = 0.0;\n\n for (int i = 0; i < "+l+"; 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 "+p+"\n }\n\n int inIdx = inOffset + "+l+";\n if ("+(1===f)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n "+p+"\n } else if ("+(2===f)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n "+p+"\n } else if ("+(3===f)+") {\n vec4 values = vec4(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n "+p+"\n }\n setOutput("+c+");\n }\n "},St=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],o=r[2],i=e.shape,s=i[1],u=i[2],c=[n&&s>1?a-1:a,n&&u>1?o-1:o],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],p=c[1]/l[1],h=1/f,d=1/p,m=2*Math.ceil(h)+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("+f+");\n const float widthScale = float("+p+");\n\n const float invHeightScale = float("+h+");\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), "+(a-1)+".0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), "+(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 "},Nt=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?o-1:o,r&&n>1?i-1:i],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+u[0]/c[0]+",\n "+u[1]/c[1]+");\n const vec2 inputShapeRC = vec2("+o+".0, "+i+".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 "},Et=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=r?[o-1,i-1]:[o,i],c=r?[t-1,n-1]:[t,n],l=r?"0.5":"0.0";this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n "+u[0]/c[0]+",\n "+u[1]/c[1]+");\n const vec2 inputShapeRC = vec2("+o+".0, "+i+".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 + "+l+")));\n\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n "},It=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),a=Q(n);this.userCode="\n void main() {\n "+a+" coords = getOutputCoords();\n setOutput(getX("+r+"));\n }\n "}else this.userCode="\n void main() {\n int coord = getOutputCoords();\n setOutput(getX("+e[0]+" - coord - 1));\n }\n "},Tt=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t=Q(this.rank),n=function(e){if(1===e)return"sourceLoc";if(2===e)return"sourceLoc.x, sourceLoc.y";if(3===e)return"sourceLoc.x, sourceLoc.y, sourceLoc.z";if(4===e)return"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w";throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);this.userCode="\n uniform "+t+" start;\n\n void main() {\n "+t+" sourceLoc = start + getOutputCoords();\n setOutput(getSource("+n+"));\n }\n "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error("Slicing for rank "+t.rank+" is not yet supported");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}(),At=function(e,t,n){this.variableNames=["x"],this.outputShape=n,this.rank=n.length;var r,a=Q(this.rank);r=1===this.rank?"coords * strides + begin":n.map(function(e,t){return"coords["+t+"] * strides["+t+"] + begin["+t+"]"}).join(","),this.userCode="\n "+a+" begin = "+a+"("+e+");\n "+a+" strides = "+a+"("+t+");\n\n void main() {\n "+a+" coords = getOutputCoords();\n setOutput(getX("+r+"));\n }\n "},Ct=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.allocatedTextures=[],this.usedTextureCount={}}return e.prototype.acquireTexture=function(e,t){void 0===t&&(t=x.FLOAT);var n=Pt(e,t);if(n in this.freeTextures||(this.freeTextures[n]=[]),n in this.usedTextureCount||(this.usedTextureCount[n]=0),this.usedTextureCount[n]++,this.freeTextures[n].length>0)return this.numFreeTextures--,this.numUsedTextures++,this.log(),this.freeTextures[n].shift();this.numUsedTextures++,this.log();var r=this.gpgpu.createMatrixTexture(e[0],e[1]);return this.allocatedTextures.push(r),r},e.prototype.releaseTexture=function(e,t,n){void 0===n&&(n=x.FLOAT);var r=Pt(t,n);r in this.freeTextures||(this.freeTextures[r]=[]),this.freeTextures[r].push(e),this.numFreeTextures++,this.numUsedTextures--,this.usedTextureCount[r]--,this.log()},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;null!=this.allocatedTextures&&(this.allocatedTextures.forEach(function(t){e.gpgpu.deleteMatrixTexture(t)}),this.freeTextures=null,this.allocatedTextures=null,this.usedTextureCount=null,this.numUsedTextures=0,this.numFreeTextures=0)},e}();function Pt(e,t){return e[0]+"_"+e[1]+"_"+t}var _t=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=Q(this.rank),o=function(e){var t=e.length;if(t>4)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n void main() {\n "+a+" resRC = getOutputCoords();\n setOutput(getA("+o+"));\n }\n "},Rt=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=Q(this.rank),o=function(e){var t=e.length;if(t>4)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n void main() {\n "+a+" resRC = getOutputCoords();\n setOutput(getA("+o+"));\n }\n "},Mt=n(52),jt=function(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode="\n float unaryOperation(float x) {\n "+t+"\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n "},Dt="if (isNaN(x)) return x;",Lt="\n // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n // see: https://arxiv.org/abs/1706.02515\n float scaleAlpha = "+Mt.b+";\n float scale = "+Mt.a+";\n return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n",zt=function(e,t,n,r){return new(n||(n=Promise))(function(a,o){function i(e){try{u(r.next(e))}catch(e){o(e)}}function s(e){try{u(r.throw(e))}catch(e){o(e)}}function u(e){e.done?a(e.value):new n(function(t){t(e.value)}).then(i,s)}u((r=r.apply(e,t||[])).next())})},Ft=function(e,t){var n,r,a,o,i={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;i;)try{if(n=1,r&&(a=r[2&o[0]?"return":o[0]?"throw":"next"])&&!(a=a.call(r,o[1])).done)return a;switch(r=0,a&&(o=[0,a.value]),o[0]){case 0:case 1:a=o;break;case 4:return i.label++,{value:o[1],done:!1};case 5:i.label++,r=o[1],o=[0];continue;case 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e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error("Data buffer is already registered");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,texShape:null,texType:x.FLOAT})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error("MathBackendWebGL.writePixels(): pixels can not be null");var n=[e.height,e.width],r=[e.height,e.width,t];if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if("undefined"==typeof document)throw new Error("Can't read pixels from HTMLImageElement outside the browser.");if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. 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this.cacheOnCPU(e),r;var o,i=null!=this.activeTimers;i&&(o=performance.now());var s=this.gpgpu.downloadMatrixFromTexture(n,a[0],a[1]);return i&&(this.downloadWaitMs+=performance.now()-o),this.cacheOnCPU(e,s),t.values},e.prototype.read=function(e){return zt(this,void 0,void 0,function(){var t,n,r,a,o;return Ft(this,function(i){switch(i.label){case 0:return this.throwIfNoData(e),t=this.texData.get(e),n=t.texture,r=t.values,a=t.texShape,null!=r?(this.cacheOnCPU(e),[2,r]):c.ENV.get("WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED")?[4,this.gpgpu.downloadMatrixFromTextureAsync(n,a[0],a[1])]:[3,2];case 1:return o=i.sent(),this.cacheOnCPU(e,o),[2,t.values];case 2:return 0===c.ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?[2,this.readSync(e)]:[4,this.gpgpu.runQuery(function(){})];case 3:return i.sent(),[2,this.readSync(e)]}})})},e.prototype.time=function(e){return zt(this,void 0,void 0,function(){var t,n,r,a,o,i;return Ft(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=y.flatten(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return o=s.sent(),i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:o,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})})},e.prototype.memory=function(){return{unreliable:!1}},e.prototype.startTimer=function(){return c.ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return c.ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return zt(this,void 0,void 0,function(){var t;return Ft(this,function(n){return c.ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.pollQueryTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.texType;null!=n&&this.textureManager.releaseTexture(n,r,a),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getTextureData=function(e){return this.uploadToGPU(e),this.texData.get(e)},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.slice=function(e,t,n){var r=new Tt(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,o){var i=Object(d.b)(e.shape,t,n,r,a,o),s=i[0],u=i[1];if(u.some(function(e){return 0===e}))return f.uc([],u);var c=new At(s,r,u);return this.compileAndRun(c,[e])},e.prototype.reverse=function(e,t){var n=new It(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat=function(e,t){var n=new A(e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.neg=function(e){var t=new jt(e.shape,"return -x;");return this.compileAndRun(t,[e])},e.prototype.matMul=function(e,t,n,r){var a=new vt(e.shape,t.shape,n,r);return this.compileAndRun(a,[e,t])},e.prototype.multiply=function(e,t){var n=new E("return a * b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,g.c(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.batchNormalization=function(e,t,n,r,a,o){var i=[e,t,n],s=null;null!=o&&(s=o.shape,i.push(o));var u=null;null!=a&&(u=a.shape,i.push(a));var c=new N(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(c,i)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var o=new gt(e.shape,t,n,r,a);return this.compileAndRun(o,[e])},e.prototype.tile=function(e,t){var n=new _t(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new xt(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new Rt(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new re(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],o=h(a),i=new Ot({windowSize:o,inSize:a,batchSize:r},t),s=i.outputShape,u=s[0],c=s[1],l=this.makeOutputArray([u,c],n);return this.compileAndRun(i,[e],l),1===l.shape[1]?l:this.reduce(l,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var o=h(a),i=new k({windowSize:o,inSize:a,batchSize:r},t,null==n),s=i.outputShape,u=s[0],c=s[1],l=this.makeOutputArray([u,c],"int32"),f=[e];return null!=n&&f.push(n),this.compileAndRun(i,f,l),1===l.shape[1]?l:this.argReduce(e,t,l)},e.prototype.sum=function(e,t){l.a("sum",t,e.rank);var n=l.b(e.shape,t),r=n[0],a=n[1],o=y.sizeFromShape(a),i=e.as2D(-1,o),s=g.b(e.dtype);return this.reduce(i,"sum",s).reshape(r)},e.prototype.argMin=function(e,t){var n=[t];l.a("argMin",n,e.rank);var r=l.b(e.shape,n),a=r[0],o=r[1],i=y.sizeFromShape(o),s=e.as2D(-1,i);return this.argReduce(s,"min").reshape(a)},e.prototype.argMax=function(e,t){var n=[t];l.a("argMax",n,e.rank);var r=l.b(e.shape,n),a=r[0],o=r[1],i=y.sizeFromShape(o),s=e.as2D(-1,i);return this.argReduce(s,"max").reshape(a)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var a=new ee(e.shape,n,r);return this.compileAndRun(a,[e])},e.prototype.equal=function(e,t){var n=new E("return float(a == b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new E("return float(a != b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new E("return float(a < b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new E("return float(a <= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new E("return float(a > b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new E("return float(a >= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new jt(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new E("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new E("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.where=function(e,t,n,r){var a=new mt(e.rank,t.shape,t.rank),o=this.makeOutputArray(a.outputShape,r);return this.compileAndRun(a,[e,t,n],o)},e.prototype.topKValues=function(e,t){throw new Error("topKValues GPU not yet implemented!")},e.prototype.topKIndices=function(e,t){throw new Error("topKIndices GPU not yet implemented!")},e.prototype.min=function(e,t){l.a("min",t,e.rank);var n=l.b(e.shape,t),r=n[0],a=n[1],o=y.sizeFromShape(a),i=e.as2D(-1,o);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new E("\n if (isNaN(a)) return a;\n if (isNaN(b)) return b;\n\n return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new E("return mod(a, b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.max=function(e,t){l.a("max",t,e.rank);var n=l.b(e.shape,t),r=n[0],a=n[1],o=y.sizeFromShape(a),i=e.as2D(-1,o);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new E("\n if (isNaN(a)) return a;\n if (isNaN(b)) return b;\n\n return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.squaredDifference=function(e,t){var n=new E("return (a - b) * (a - b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.divide=function(e,t){var n,r;"int32"===e.dtype&&"int32"===t.dtype?(n="\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",r="int32"):(n="return a / b;",r="float32");var a=new E(n,e.shape,t.shape),o=this.makeOutputArray(a.outputShape,r);return this.compileAndRun(a,[e,t],o)},e.prototype.add=function(e,t){var n=new E("return a + b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,g.c(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.subtract=function(e,t){var n=new E("return a - b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,g.c(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new E("\n return (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,g.c(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.ceil=function(e){var t=new jt(e.shape,"return ceil(x);");return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new jt(e.shape,"return floor(x);");return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new jt(e.shape,"\n if (isNaN(x)) { return 0.0; }\n return sign(x);\n");return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new jt(e.shape,"\n // OpenGL ES does not support 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jt(e.shape,"return x * x;");return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new jt(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new jt(e.shape,"if (isNaN(x)) return x;\n return (x < 0.0) ? 0.0 : x;\n");return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new jt(e.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new E("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new jt(e.shape,Lt);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new jt(e.shape,"return float(int(x));"),n=this.makeOutputArray(t.outputShape,"int32");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new I(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new jt(e.shape,"return abs(x);");return 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this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return m.a.make(e.shape,{values:n},"bool")},e.prototype.logicalAnd=function(e,t){return this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e||t})},e.prototype.where=function(e,t,n,r){for(var a=e.dataSync(),o=t.dataSync(),i=n.dataSync(),s=f.Hc(t.shape,r),u=s.dataSync(),c=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],p=0;p<a.length;p++)for(var h=0;h<l;h++)1===a[p]?u[c++]=o[p]:u[c++]=i[p];return s},e.prototype.topKValues=function(e,t){return this.topK(e,t).values},e.prototype.topKIndices=function(e,t){return this.topK(e,t).indices},e.prototype.topK=function(e,t){for(var n=e.dataSync(),r=[],a=0;a<n.length;a++)r.push({value:n[a],index:a});r.sort(function(e,t){return t.value-e.value});var o=y.getTypedArrayFromDType(e.dtype,t),i=new Int32Array(t);for(a=0;a<t;a++)o[a]=r[a].value,i[a]=r[a].index;return{values:f.vc(o,e.dtype),indices:f.vc(i,"int32")}},e.prototype.min=function(e,t){l.a("min",t,e.rank);for(var n=l.b(e.shape,t),r=n[0],a=n[1],o=f.Hc(r,e.dtype),i=y.sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),c=0;c<s.length;++c){for(var p=c*i,h=u[0],d=0;d<i;++d){var m=u[p+d];m<h&&(h=m)}s[c]=h}return o},e.prototype.minimum=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return 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Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return m.a.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return m.a.make(e.shape,{values:n})},e.prototype.square=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return m.a.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return m.a.make(e.shape,{values:n})},e.prototype.relu=function(e){for(var t=f.Hc(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return m.a.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){for(var n=new 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m.a.make(e.shape,{values:t})},e.prototype.acosh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return m.a.make(e.shape,{values:t})},e.prototype.atanh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return m.a.make(e.shape,{values:t})},e.prototype.erf=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r],o=1/(1+.3275911*a);t[r]=1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-a*a)}return m.a.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0);for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var o=r[a];isNaN(o)?n[a]=NaN:n[a]=o>0?1:t}return m.a.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=f.s(n.outShape,e.dtype),l=0;l<n.batchSize;++l)for(var p=0;p<n.outChannels;++p)for(var h=0;h<n.outHeight;++h)for(var d=h*n.strideHeight-s,m=0;m<n.outWidth;++m){for(var g=m*n.strideWidth-u,y=0,v=0;v<r;v++){var b=d+v*o;if(!(b<0||b>=n.inHeight))for(var w=0;w<a;w++){var x=g+w*i;if(!(x<0||x>=n.inWidth))for(var k=0;k<n.inChannels;++k)y+=e.get(l,b,x,k)*t.get(v,w,k,p)}}c.set(y,l,h,m,p)}return c.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){for(var r=f.s(n.inShape,"float32"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],c=e.dataSync(),l=e.strides,p=l[0],h=l[1],d=l[2],m=t.dataSync(),g=t.strides,y=g[0],v=g[1],b=g[2],w=n.batchSize,x=n.filterHeight,k=n.filterWidth,O=n.inChannels,S=n.inHeight,N=n.inWidth,E=n.outChannels,I=n.outHeight,T=n.outWidth,A=n.strideHeight,C=n.strideWidth,P=x-1-n.padInfo.top,_=k-1-n.padInfo.left,R=0;R<w;++R)for(var M=0;M<O;++M)for(var j=0;j<S;++j)for(var D=j-P,L=Math.max(0,Math.ceil(D/A)),z=Math.min(I,(x+D)/A),F=0;F<N;++F){for(var B=F-_,V=Math.max(0,Math.ceil(B/C)),U=Math.min(T,(k+B)/C),W=0,G=L;G<z;++G)for(var q=G*A-D,H=V;H<U;++H)for(var K=p*R+h*G+d*H,X=y*(x-1-q)+v*(k-1-(H*C-B))+b*M,J=0;J<E;++J)W+=c[K+J]*m[X+J];a[i*R+s*j+u*F+M]=W}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=f.s(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=0;l<o;++l)for(var p=Math.max(0,Math.ceil((c-l)/r)),h=Math.min(n.outHeight,(n.inHeight+c-l)/r),d=0;d<i;++d)for(var m=Math.max(0,Math.ceil((u-d)/a)),g=Math.min(n.outWidth,(n.inWidth+u-d)/a),y=0;y<n.inChannels;++y)for(var v=0;v<n.outChannels;++v){for(var b=0,w=0;w<n.batchSize;++w)for(var x=p;x<h;++x)for(var k=l+x*r-c,O=m;O<g;++O){var S=d+O*a-u;b+=e.get(w,k,S,y)*t.get(w,x,O,v)}s.set(b,l,d,y,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=f.s(n.outShape,e.dtype),p=0;p<n.batchSize;++p)for(var h=0;h<n.inChannels;++h)for(var d=0;d<n.outHeight;++d)for(var m=d*n.strideHeight-s,g=0;g<n.outWidth;++g)for(var y=g*n.strideWidth-u,v=0;v<c;++v){for(var b=0,w=0;w<r;++w){var x=m+w*o;if(!(x<0||x>=n.inHeight))for(var k=0;k<a;++k){var O=y+k*i;O<0||O>=n.inWidth||(b+=e.get(p,x,O,h)*t.get(w,k,h,v))}}l.set(b,p,d,g,h*c+v)}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){for(var r=f.s(n.inShape,"float32"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],c=e.dataSync(),l=e.strides,p=l[0],h=l[1],d=l[2],m=t.dataSync(),g=t.strides,y=g[0],v=g[1],b=g[2],w=n.batchSize,x=n.filterHeight,k=n.filterWidth,O=n.inChannels,S=n.inHeight,N=n.inWidth,E=n.outChannels,I=n.outHeight,T=n.outWidth,A=n.strideHeight,C=n.strideWidth,P=x-1-n.padInfo.top,_=k-1-n.padInfo.left,R=E/O,M=0;M<w;++M)for(var j=0;j<O;++j)for(var D=0;D<S;++D)for(var L=D-P,z=Math.max(0,Math.ceil(L/A)),F=Math.min(I,(x+L)/A),B=0;B<N;++B){for(var V=B-_,U=Math.max(0,Math.ceil(V/C)),W=Math.min(T,(k+V)/C),G=0,q=z;q<F;++q)for(var H=q*A-L,K=U;K<W;++K)for(var X=p*M+h*q+d*K,J=y*(x-1-H)+v*(k-1-(K*C-V))+b*j,Y=0;Y<R;++Y)G+=c[X+(j*R+Y)]*m[J+Y];a[i*M+s*D+u*B+j]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=f.s(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,p=0;p<o;++p)for(var h=Math.max(0,Math.ceil((c-p)/r)),d=Math.min(n.outHeight,(n.inHeight+c-p)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((u-m)/a)),y=Math.min(n.outWidth,(n.inWidth+u-m)/a),v=0;v<n.outChannels;++v){for(var b=Math.trunc(v/l),w=v%l,x=0,k=0;k<n.batchSize;++k)for(var O=h;O<d;++O)for(var S=p+O*r-c,N=g;N<y;++N){var E=m+N*a-u;x+=e.get(k,S,E,b)*t.get(k,O,N,v)}s.set(x,p,m,b,w)}return s.toTensor()},e.prototype.tile=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=f.s(n,e.dtype),o=e.buffer();for(r=0;r<a.values.length;++r){for(var i=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var c=o.locToIndex(s);a.values[r]=o.values[c]}return a.toTensor()},e.prototype.pad=function(e,t,n){var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),o=e.buffer(),i=f.s(r,e.dtype);0!==n&&i.values.fill(n);for(var s=0;s<e.size;s++){var u=o.indexToLoc(s),c=u.map(function(e,t){return e+a[t]});i.set.apply(i,[e.get.apply(e,u)].concat(c))}return i.toTensor()},e.prototype.transpose=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),o=Object(f.s)(n,e.dtype),i=e.buffer();for(r=0;r<e.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),c=0;c<u.length;c++)u[c]=s[t[c]];var l=o.locToIndex(u);o.values[l]=a[r]}return o.toTensor()},e.prototype.gather=function(e,t,n){var 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kn(this,void 0,void 0,function(){var t,n;return On(this,function(r){var a;if(e=(a=e).startsWith(_n.URL_SCHEME)?a.slice(_n.URL_SCHEME.length):a,t=Cn(e),null==this.LS.getItem(t.info))throw new Error("Cannot find model at path '"+e+"'");return n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]})})},e}();if(c.ENV.get("IS_BROWSER"))try{un.registerManager(_n.URL_SCHEME,new Mn)}catch(e){}var jn=function(e,t,n,r){return new(n||(n=Promise))(function(a,o){function i(e){try{u(r.next(e))}catch(e){o(e)}}function s(e){try{u(r.throw(e))}catch(e){o(e)}}function u(e){e.done?a(e.value):new n(function(t){t(e.value)}).then(i,s)}u((r=r.apply(e,t||[])).next())})},Dn=function(e,t){var n,r,a,o,i={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function 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Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var o=r.rank;if(null!=a.ndim&&o!==a.ndim)throw new Xr("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+o);if(null!=a.maxNDim&&o>a.maxNDim)throw new Xr("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+o);if(null!=a.minNDim&&o<a.minNDim)throw new Xr("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+o+".");if(null!=a.dtype&&Ha(r)!==a.dtype){var i=Ha(r);throw new Xr("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+i+".")}if(a.axes){var s=qa(r);for(var u in a.axes){var c=Number(u),l=a.axes[u],f=c>=0?s[c]:s[s.length+c];if(null!=l&&-1===[l,null].indexOf(f))throw new Xr("Input "+n+" is incompatible with layer "+this.name+": expected axis "+c+" of input shape to have value "+l+" but got shape "+s+".")}}if(null!=a.shape){s=qa(r);for(var p=0;p<a.shape.length;++p){var h=a.shape[p],d=s[p];if(null!=h&&null!=d&&h!==d)throw new Xr("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape=${xShape}.")}}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{};for(var r=na(e),a=!0,o=0,i=r;o<i.length;o++)if(!(i[o]instanceof ja)){a=!1;break}for(var s=!0,u=0,c=r;u<c.length;u++)if(c[u]instanceof ja){s=!1;break}if(a===s)throw new Xr("Arguments to apply() must be all SymbolicTensors or all Tensors");return co(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var a=[],o=0,i=na(e);o<i.length;o++){var u=i[o];a.push(qa(u))}n.build(ta(a)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights)}if(n.assertInputCompatibility(e),s){for(var c=[],l=0,f=na(m=n.call(e,t));l<f.length;l++){var p=f[l];-1!==r.indexOf(p)&&(p=to(p)),c.push(p)}if(m=ta(c),null!=n.activityRegularizer)throw new Jr("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var h=function(e){for(var t=[],n=0,r=e=na(e);n<r.length;n++){var a=r[n];t.push(qa(a))}return ta(t)}(e),d=n.computeOutputShape(h),m=void 0;if(m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,a){return new ja("float32",r,n,na(e),t,n.name,a)}):new ja("float32",d,n,na(e),t,n.name),n.addInboundNode(e,m,null,null,h,d,t),null!=n.activityRegularizer)throw new Jr("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),za(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;Object(vr.f)(function(){var n=t.weights;if(n.length!==e.length)throw new Xr('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+e+"...");if(0!==n.length){for(var r=[],a=za(n),o=0;o<a.length;++o){var i=a[o],s=n[o],u=e[o];if(!y.arraysEqual(i.shape,u.shape))throw new Xr("Layer weight shape "+i.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}Fa(r)}})},t.prototype.addWeight=function(e,t,n,r,a,o,i){if(-1!==this._addedWeightNames.indexOf(e))throw new Xr("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32");var s=new La(r.apply(t,n),n,e,o,i);return null!=a&&this.addLoss(function(){return a.apply(s.read())}),null==o&&(o=!0),o?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=na(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking,but was passed an inputMask.");t.forEach(function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking,but was passed an inputMask.")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,a,o,i){void 0===i&&(i=null);var s=na(e);t=na(t),n=na(n),r=na(r),a=aa(a),o=aa(o);for(var u=[],c=[],l=[],f=0,p=s;f<p.length;f++){var h=p[f];u.push(h.sourceLayer),c.push(h.nodeIndex),l.push(h.tensorIndex)}new Po({outboundLayer:this,inboundLayers:u,nodeIndices:c,tensorIndices:l,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:o},i);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},To([Object(qt.a)({heading:"Models",subheading:"Classes"})],t.prototype,"apply",null),To([Object(qt.a)({heading:"Layers",subheading:"Classes",namespace:"layers"})],t)}(i.Serializable),Mo=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:fo("input").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new Xr("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new Xr("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new Xr("Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.");var a=t.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var o=new ja(n.dtype,n.batchInputShape,n,[],{},n.name);return o.nodeIndex=0,o.tensorIndex=0,new Po({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return Io(t,e),t.prototype.apply=function(e,t){throw new Xr("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className="InputLayer",t}(Ro);function jo(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new Xr("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new Mo({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}i.SerializationMap.register(Mo);var Do=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=fo(a)}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],ha(r.inputs).length!==r.inputs.length)throw new Xr("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map(function(e){return e.name}));ha(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var o=0,i=r.outputs;o<i.length;o++){var s=(E=i[o]).sourceLayer,u=E.nodeIndex,c=E.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(u),r.outputLayersTensorIndices.push(c)}for(var l=0,f=r.inputs;l<f.length;l++)s=(E=f[l]).sourceLayer,u=E.nodeIndex,c=E.tensorIndex,$r(0===u,"input layer has >1 nodes"),$r(0===c,"input layer has >1 tensors"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(u),r.inputLayersTensorIndices.push(c);r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var p=0;p<r.inputLayers.length;p++){if(!((s=r.inputLayers[p])instanceof Mo))throw new TypeError("Input layers to a Model must be InputLayer objects. Received inputs: "+n.inputs+". Input "+p+" (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 h=0,d=r.outputLayers;h<d.length;h++)s=d[h],r.outputNames.push(s.name);r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var m={},g={},y={},v={},b={},w=[],x=function(e,n,a,o,i,s){null!=o&&null!=i&&null!=s||(o=e.sourceLayer,i=e.nodeIndex,s=e.tensorIndex);var u=o.inboundNodes[i];if(-1!==a.indexOf(u))throw new Kr("The tensor "+e.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===n.indexOf(u)){r.containerNodes.add(t.nodeKey(o,i)),o.id in b||(b[o.id]=Object.keys(b).length),-1===a.indexOf(u)&&a.push(u);for(var c=u.inboundLayers.length,l=0;l<c;l++){var f=u.inputTensors[l],p=u.inboundLayers[l],h=u.nodeIndices[l],d=u.tensorIndices[l];x(f,n,a,p,h,d)}for(n.push(u);a.indexOf(u)>=0;)a.splice(a.indexOf(u),1);w.push(u)}},k=[],O=[],S=0,N=r.outputs;S<N.length;S++){var E=N[S];x(E,k,O)}for(var I=0,T=w.slice().reverse();I<T.length;I++){g[(Y=T[I]).id]=Y,Y.id in m||(m[Y.id]=0);var A=m[Y.id],C=null==y[Y.outboundLayer.id]?0:y[Y.outboundLayer.id];for(A=Math.max(A,C),y[Y.outboundLayer.id]=A,v[Y.outboundLayer.id]=Y.outboundLayer,m[Y.id]=A,p=0;p<Y.inboundLayers.length;p++){var P=Y.inboundLayers[p],_=(u=Y.nodeIndices[p],P.inboundNodes[u]),R=null==m[_.id]?0:m[_.id];m[_.id]=Math.max(A+1,R),g[_.id]=_}}var M={};for(var j in m)(A=m[j])in M||(M[A]=[]),M[A].push(g[j]);var D={};for(var L in y)(A=y[L])in D||(D[A]=[]),D[A].push(v[L]);var z=Object.keys(D).map(function(e){return parseInt(e,10)}).sort(pa);r.layers=[];for(var F=0,B=z;F<B.length;F++){var V=D[A=B[F]];V.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var U=0,W=V;U<W.length;U++)s=W[U],r.layers.push(s)}r.layersByDepth=D,z=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(pa);for(var G=r.inputs.slice(),q=[],H=0,K=z;H<K.length;H++)for(var X=0,J=M[A=K[H]];X<J.length;X++){var Y;if(null!=(s=(Y=J[X]).outboundLayer)){for(var Q=0,Z=Y.inputTensors;Q<Z.length;Q++)if(E=Z[Q],-1===G.indexOf(E))throw new Kr("Graph disconnected: cannot obtain value for tensor "+E+' at layer "'+s.name+'". The following previous layers were accessed without issue: '+q);for(var $=0,ee=Y.outputTensors;$<ee.length;$++)E=ee[$],G.push(E);q.push(s.name)}}r.nodesByDepth=M;for(var te=r.layers.map(function(e){return e.name}),ne=function(e){var t=te.filter(function(t){return t===e}).length;if(1!==t)throw new Kr('The name "'+e+'" is used '+t+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(te))},re=0,ae=te;re<ae.length;re++)ne(ae[re]);return r.outboundNodes=[],r.inboundNodes=[],new Po({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r}return Io(t,e),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new Xr("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e=e.concat(r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var a=[],o=0,i=this.layers;o<i.length;o++)r=i[o],a.push.apply(a,r.trainableWeights);return a.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,t,n){void 0===t&&(t=!1),void 0===n&&(n=!1),n?function(e,t){for(var n={},r=0,a=0,o=t;a<o.length;a++)for(var i=0,s=o[a].weights;i<s.length;i++){var u=s[i];if(null!=n[u.originalName])throw new Xr("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var c=[];for(var l in e)c.push([n[l],e[l]]),delete n[l];var f=[];for(var p in n)f.push(p);if(f.length>0)throw new Xr(f.length+" of "+r+" weights are not set: "+f);Fa(c)}(e,this.layers):function(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,a=e.backend,o=t.map(function(e){return e.name}),i={},s=0,u=t;s<u.length;s++){null!=(x=u[s]).name&&(null==i[x.name]&&(i[x.name]=[]),i[x.name].push(x))}for(var c=e.weights,l=[],f=0;f<o.length;++f){var p=o[f],h=c[p];null==h&&(h=[]);for(var d=[],g=0;g<h.length;++g){var v=h[g];d.push(new La((S=v.dtype,N=v.shape,E=v.value,I=function(e){switch(e){case"float32":return"float32";default:throw new Xr("Invalid dtype: "+e)}}(S),m.a.make(N,{values:0===N.length?E:y.flatten(E)},I))))}for(var b=0,w=i[p];b<w.length;b++){var x,k=(x=w[b]).weights;if((d=Lo(x,d,r,a)).length!==k.length){if(!n)throw new Xr("Layer #"+f+' (named "'+x.name+'") expects '+k.length+" weight(s), but the saved weights have "+d.length+" element(s).");console.warn("Skipping loading of weights of layer "+x.name+" due to mismatch in number of weights: ("+d.length+" vs "+k.length+").")}for(var O=0;O<d.length;++O)!n||y.arraysEqual(k[O].shape,d[O].shape)?l.push([k[O],d[O].read()]):console.warn("Skipping loading of weights for layer "+x.name+" due to mismatch in shape ("+k[O].shape+" vs "+d[O].shape+")")}}var S,N,E,I;Fa(l)}(e,this.layers,t)},t.prototype.updatedConfig=function(){var e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:"tfjs-layers 0.6.4",backend:"TensorFlow.js"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=function e(t,n){if(null===t||void 0===t)return null;if("string"==typeof t)return oa(t);if("number"==typeof t||"boolean"==typeof t)return t;if(t instanceof Array){for(var r=[],a=t.length,o=0;o<a;++o){var i=t[o];No(n,o,i)?r.push(i):r.push(e(i,n))}return r}for(var s={},u=0,c=Object.keys(t);u<c.length;u++){var l=c[u],f=t[l];s[oa(l)]="name"!==l&&"className"!==l||"string"!=typeof f?e(f,l):f}return s}(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var r;return e=na(e),r="mask"in t?na(t.mask):Zr(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return Object(vr.f)(function(){var r;return e=na(e),r=null==t?Zr(null,e.length):na(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=aa(e);if(t.length!==this.inputLayers.length)throw new Xr("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],o=t[r];n[O=a.name+"_0_0"]=o}var i=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(pa);if(i.length>1)for(var s=0,u=i;s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){var 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p=f[l],h=p.outboundLayer,d=p.inputTensors,m=p.outputTensors,g=new Array,y=0,v=d;y<v.length;y++)(a=v[y]).id in n&&g.push(n[a.id]);if(g.length===d.length){var b={},w=void 0,x=void 0,k=void 0,O=void 0;if(null!=p.callArgs&&(b=p.callArgs),1===g.length){var S=g[0],N=S[0],E=S[1];null==b.mask&&(b.mask=E),k=na(h.call(N,b)),O=na(h.computeMask(N,E)),w=[N],x=[E]}else w=g.map(function(e){return e[0]}),x=g.map(function(e){return e[1]}),null==b.mask&&(b.mask=x),k=na(h.call(w,b)),O=na(h.computeMask(w,x));if(h.activityRegularizer)throw new Jr("Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<m.length;++r)a=m[r],o=k[r],i=O[r],n[a.id]=[o,i]}}for(var I=[],T=[],A=[],C=0,P=this.outputs;C<P.length;C++){$r((a=P[C]).id in n,"Could not compute output "+a.name+" : "+a.id);var _=n[a.id],R=_[0];i=_[1],A.push(R.shape),I.push(R),T.push(i)}return[I,T,A]},t.prototype.buildNodeConversionMap=function(e){for(var 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n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new Jr("Non-default alpha value ("+t.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return ks(t,e),t.prototype.call=function(e,t){var n=la(e);return Object(f.M)(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ELU",t}(Ro);i.SerializationMap.register(Ss);var Ns=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=Ua(n.theta),n}return ks(t,e),t.prototype.call=function(e,t){var n=la(e);return n.mul(Ka(n.greater(this.thetaTensor),"float32"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ThresholdedReLU",t}(Ro);i.SerializationMap.register(Ns);var Es=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new vs).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return ks(t,e),t.prototype.call=function(e,t){var n=la(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Softmax",t}(Ro);i.SerializationMap.register(Es);var Is=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),Ts=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Is(t,e),t}(i.Serializable),As=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,a=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==a,n.l1=Ua(r),n.l2=Ua(a),n}return Is(t,e),t.prototype.apply=function(e){var t=this;return Object(vr.f)(function(){var n=Object(f.Hc)([1]);return t.hasL1&&(n=Object(f.d)(n,Object(f.rc)(no(t.l1,Object(f.a)(e))))),t.hasL2&&(n=Object(f.d)(n,Object(f.rc)(no(t.l2,so(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className="L1L2",function(e,t,n,r){var a,o=arguments.length,i=o<3?t:null===r?r=Object.getOwnPropertyDescriptor(t,n):r;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)i=Reflect.decorate(e,t,n,r);else for(var s=e.length-1;s>=0;s--)(a=e[s])&&(i=(o<3?a(i):o>3?a(t,n,i):a(t,n))||i);return o>3&&i&&Object.defineProperty(t,n,i),i}([Object(qt.a)({heading:"Regularizers",namespace:"regularizers"})],t)}(Ts);i.SerializationMap.register(As);var Cs={l1l2:"L1L2"};function Ps(e){return ua(e)}function _s(e,t){return void 0===t&&(t={}),ca(e,i.SerializationMap.getMap().classNameMap,t,"regularizer")}function Rs(e){return null==e?null:"string"==typeof e?_s({className:e in Cs?Cs[e]:e,config:{}}):e instanceof Ts?e:_s(e)}function Ms(e,t,n){if("number"==typeof e)return Zr(e,t);if(e.length!==t)throw new Xr("The "+n+" argument must be a tuple of "+t+" integers. Received: "+e.length+" elements.");for(var r=0;r<t;++r){var a=e[r];if((o=a)!==parseInt(o.toString(),10))throw new Xr("The "+n+" argument must be a tuple of "+t+" integers. Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e;var o}function js(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(o="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((o+r-1)/r));var o}function Ds(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+Pa([n-t,0]);else{if("same"!==r)throw new Xr("Unsupport padding mode: "+r+".");e*=t}return e}var Ls=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}();function zs(e,t){return Object(vr.f)(function(){return va(t),"channelsFirst"===t?f.Bc(e,[0,2,3,1]):e})}var Fs=function(e){function t(t,n){var r=e.call(this,n)||this;if(r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.rank=t,1!==r.rank&&2!==r.rank)throw new Jr("Convolution layer for rank other than 1 or 2 ("+r.rank+") is not implemented yet.");if(r.filters=n.filters,r.kernelSize=Ms(n.kernelSize,t,"kernelSize"),r.strides=Ms(null==n.strides?1:n.strides,t,"strides"),r.padding=null==n.padding?"valid":n.padding,wa(r.padding),r.dataFormat=null==n.dataFormat?"channelsLast":n.dataFormat,va(r.dataFormat),r.dilationRate=null==n.dilationRate?1:n.dilationRate,1===r.rank&&Array.isArray(r.dilationRate)&&1!==r.dilationRate.length)throw new Xr("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(r.dilationRate));if(2===r.rank)if("number"==typeof r.dilationRate)r.dilationRate=[r.dilationRate,r.dilationRate];else if(2!==r.dilationRate.length)throw new Xr("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(r.dilationRate));return r.activation=xs(n.activation),r.useBias=null==n.useBias||n.useBias,r.kernelInitializer=os(n.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=os(n.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Oo(n.kernelConstraint),r.biasConstraint=Oo(n.biasConstraint),r.kernelRegularizer=Rs(n.kernelRegularizer),r.biasRegularizer=Rs(n.biasRegularizer),r.activityRegularizer=Rs(n.activityRegularizer),r}return Ls(t,e),t.prototype.build=function(e){e=fa(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Xr("The channel dimension of the input should be defined. Found "+e[t]);var n,r=e[t],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var t;e=la(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=function(e,t,n,r,a,o,i){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===i&&(i=1),Object(vr.f)(function(){if(null==o&&(o="channelsLast"),va(o),3!==e.shape.length)throw new Xr("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new Xr("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new Xr("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===o&&(e=f.Bc(e,[0,2,1])),"causal"===a)throw new Jr("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=f.C(e,t,r,"same"===a?"same":"valid","NWC",i);return null!=n&&(s=uo(s,n)),s})}(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate);else if(2===n.rank)t=function(e,t,n,r,a,o,i){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),Object(vr.f)(function(){if(null==o&&(o="channelsLast"),va(o),3!==e.rank&&4!==e.rank)throw new Xr("conv2dWithBias expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new Xr("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+e.rank+".");var s=zs(e,o);if("causal"===a)throw new Jr("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s=f.D(s,t,r,"same"===a?"same":"valid","NHWC",i),null!=n&&(s=uo(s,n)),"channelsFirst"===o&&(s=f.Bc(s,[0,3,1,2])),s})}(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new Jr("3D convolution is not implemented yet.");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=fa(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=js(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var o=[e[0]];return"channelsLast"===this.dataFormat?(o=o.concat(t)).push(this.filters):(o.push(this.filters),o=o.concat(t)),o},t.prototype.getConfig=function(){var t={rank:this.rank,filters:this.filters,kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),biasConstraint:xo(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Ro),Bs=function(e){function t(t){return e.call(this,2,t)||this}return Ls(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.className="Conv2D",t}(Fs);i.SerializationMap.register(Bs);var Vs=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new Ao({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new Xr("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return Ls(t,e),t.prototype.build=function(e){if(4!==(e=fa(e)).length)throw new Xr("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Xr("The channel dimension of the inputs should be defined. Found `None`.");var n,r=e[t],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new Ao({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return vr.f(function(){var t=la(e);if(4!==t.shape.length)throw new Xr("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,o=t.shape,i=o[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=o[r],u=o[a],c=n.kernelSize[0],l=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[i,Ds(s,p,c,n.padding),Ds(u,h,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=f.Bc(t,[0,2,3,1]));var m=f.E(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(m=f.Bc(m,[0,3,1,2])),null!=n.bias&&(m=uo(m,n.bias.read(),n.dataFormat)),null!=n.activation&&(m=n.activation.apply(m)),m})},t.prototype.computeOutputShape=function(e){var t,n,r,a=(e=fa(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var o=this.kernelSize[0],i=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=Ds(a[n],s,o,this.padding),a[r]=Ds(a[r],u,i,this.padding),a},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(Bs);i.SerializationMap.register(Vs);var Us=function(e){function t(t){return e.call(this,2,t)||this}return Ls(t,e),t.className="SeparableConv2D",t}(function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new Xr("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new Xr("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 Xr("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=os(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Rs(n.depthwiseRegularizer),r.depthwiseConstraint=Oo(n.depthwiseConstraint),r.pointwiseInitializer=os(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Rs(n.pointwiseRegularizer),r.pointwiseConstraint=Oo(n.pointwiseConstraint),r}return Ls(t,e),t.prototype.build=function(e){if((e=fa(e)).length<this.rank+2)throw new Xr("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var t,n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new Xr("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),o=[],i=0;i<this.rank;++i)o.push(1);o.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",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 Ao({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var t;if(e=la(e),1===n.rank)throw new Jr("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=f.Bc(e,[0,2,3,1])),t=f.Ub(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=uo(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=f.Bc(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=as(this.depthwiseInitializer),t.pointwiseInitializer=as(this.pointwiseInitializer),t.depthwiseRegularizer=Ps(this.depthwiseRegularizer),t.pointwiseRegularizer=Ps(this.pointwiseRegularizer),t.depthwiseConstraint=xo(this.depthwiseConstraint),t.pointwiseConstraint=xo(this.pointwiseConstraint),t},t.className="SeparableConv",t}(Fs));i.SerializationMap.register(Us);var Ws=function(e){function t(t){var n=e.call(this,1,t)||this;return n.inputSpec=[{ndim:3}],n}return Ls(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.className="Conv1D",t}(Fs);i.SerializationMap.register(Ws);var Gs=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return Ls(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){return e=la(e),"channelsLast"===n.dataFormat?Qa(Qa(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):Qa(Qa(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(Ro);i.SerializationMap.register(Gs);var qs=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=void 0===t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n}return Ls(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=this.size[0]*e[2],n=this.size[1]*e[3];return[e[0],e[1],t,n]}return t=this.size[0]*e[1],n=this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return vr.f(function(){var t=la(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=f.Bc(t,[0,2,3,1]);var a=n.size[0]*r[2],o=n.size[1]*r[3],i=t.resizeNearestNeighbor([a,o]);return f.Bc(i,[0,3,1,2])}return a=n.size[0]*r[1],o=n.size[1]*r[2],t.resizeNearestNeighbor([a,o])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(Ro);i.SerializationMap.register(qs);var Hs=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),Ks=function(e){function t(t){var n=e.call(this,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=os(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=Oo(t.depthwiseConstraint),n.depthwiseRegularizer=Rs(t.depthwiseRegularizer),n}return Hs(t,e),t.prototype.build=function(e){if((e=fa(e)).length<4)throw new Xr("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new Xr("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){e=la(e);var t,r,a,o,i,s=(t=e,r=n.depthwiseKernel.read(),a=n.strides,o=n.padding,i=n.dataFormat,null,void 0===a&&(a=[1,1]),void 0===o&&(o="valid"),Object(vr.f)(function(){null==i&&(i="channelsLast"),va(i);var e=zs(t,i);if(4!==t.rank)throw new Xr("Input for depthwiseConv2d is required to be 4-D, but is instead 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function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),Js=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=Ua(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new Jr("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return Xs(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t);var r=la(e);if(null!=n.noiseShape&&!y.arraysEqual(r.shape,n.noiseShape))throw new Jr("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,o=n.getNoiseShape(r);return function(e,t,n){return void 0===n&&(n=!1),n?e():r}(function(){return e=r,t=n.rateScalar,a=o,i=n.seed,Object(vr.f)(function(){if(null!=a&&!y.arraysEqual(e.shape,a))throw new Jr("Non-default noise shape is not implemented yet: "+JSON.stringify(a));if(null!=i)throw new Jr("seed is not implemented for dropout yet.");var n=f.nc(f.d(f.mb(t),f.Gb(e.shape,0,1,"float32")));return n=f.ib(f.J(Ua(1),f.pc(Ua(1),t)),n),f.ib(e,n)});var e,t,a,i},0,a)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dropout",t}(Ro);i.SerializationMap.register(Js);var Ys=function(e){function t(t){var n=e.call(this,t)||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==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=xs(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=os(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=os(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=Oo(t.kernelConstraint),n.biasConstraint=Oo(t.biasConstraint),n.kernelRegularizer=Rs(t.kernelRegularizer),n.biasRegularizer=Rs(t.biasRegularizer),n.activityRegularizer=Rs(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return Xs(t,e),t.prototype.build=function(e){var t,n=(e=fa(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=fa(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t);var r=oo(la(e),n.kernel.read());return null!=n.bias&&(r=uo(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),biasConstraint:xo(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(Ro);i.SerializationMap.register(Ys);var Qs=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return Xs(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=fa(e)).slice(1);t<n.length;t++)if(null==n[t])throw new Xr('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],Ta(e,1)]},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){return n.invokeCallHook(e,t),function(e){if(e.rank<=1)throw new Xr("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],Ta(e.shape,1)];return e.reshape(t)}(la(e))})},t.className="Flatten",t}(Ro);i.SerializationMap.register(Qs);var Zs=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=xs(t.activation),n}return Xs(t,e),t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t);var r=la(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:bs(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(Ro);i.SerializationMap.register(Zs);var $s=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return Xs(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){return e=la(e),t=e,r=n.n,Object(vr.f)(function(){if(2!==t.shape.length)throw new Xr("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return eo(Xa(t,1),[1,r,1])});var t,r})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(Ro);i.SerializationMap.register($s);var eu=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return Xs(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,o=null,i=0;i<r.length;++i){var s=r[i];if(this.isUnknown(s)){if(null!==o)throw new Xr("Can only specifiy one unknown dimension.");o=i}else a*=s}var u=Ta(e);if(null!==o){if(0===a||u%a!=0)throw new Xr(n);r[o]=u/a}else if(u!==a)throw new Xr(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t);var r=la(e),a=Ga(r),o=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(o)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(Ro);i.SerializationMap.register(eu);var tu=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),nu=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(na(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=os(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Rs(t.embeddingsRegularizer),n.activityRegularizer=Rs(t.activityRegularizer),n.embeddingsConstraint=Oo(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return tu(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.computeMask=function(e,t){throw new Jr("computeMask has not been implemented for Embedding yet")},t.prototype.computeOutputShape=function(e){if(e=fa(e),null==this.inputLength)return e.concat([this.outputDim]);var t=na(this.inputLength);if(t.length!==e.length-1)throw new Xr('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],o=e[r+1];if(null!=a&&null!=o&&a!==o)throw new Xr('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=o),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t);var r=la(e);return"int32"!==Ha(r)&&(r=Ka(r,"int32")),io(n.embeddings.read(),r.as1D()).reshape(fa(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:as(this.embeddingsInitializer),embeddingsRegularizer:Ps(this.embeddingsRegularizer),activityRegularizer:Ps(this.activityRegularizer),embeddingsConstraint:xo(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(Ro);i.SerializationMap.register(nu);var ru=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),au=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return ru(t,e),t.prototype.mergeFunction=function(e){throw new Jr},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],o=t[r];if(null==a||null==o||a<0||o<0)n.push(null);else if(1===a)n.push(o);else if(1===o)n.push(a);else{if(a!==o)throw new Xr("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[fa(e)]),(e=e).length<2)throw new Xr("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(i=r[n])&&null!==i[0]&&t.push(i[0]);if((t=ha(t)).length>1)throw new Xr("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var a=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var i=null==e[o]?null:e[o].slice(1);a=this.computeElementwiseOpOutputShape(a,i)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===ha(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var a=Pa(r),o=0,i=e;o<i.length;o++){for(var s=(h=i[o]).rank,u=0;u<a-s;++u)h=Xa(h,1);t.push(h)}return n.mergeFunction(t)}for(var c=!1,l=0,p=e;l<p.length;l++){var h;if(null==(s=(h=p[l]).rank)){var d=Ga(h),m=d[0],g=d.slice(1).concat([m]),y=h.reshape([m].concat(Ta(d.slice(1))));y=(y=f.Bc(y,[1,0])).reshape(g),t.push(y),c=!0}else if(s>1){var v=_a(1,s).concat([0]);t.push(f.Bc(h,v)),c=!0}else t.push(h)}var b=n.mergeFunction(t),w=b.rank;if(c)if(null==w){var x=Ga(b);g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),b=f.Bc(b.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(v=[w-1].concat(_a(0,w-1)),b=f.Bc(b,v));return b}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a=[],o=0,i=e;o<i.length;o++)null!=(r=i[o])&&null!==r[0]&&a.push(r[0]);return 1===(a=ha(a)).length?a.concat(t):[null].concat(t)},t}(Ro),ou=function(e){function t(t){return e.call(this,t)||this}return ru(t,e),t.prototype.mergeFunction=function(e){return Object(vr.f)(function(){for(var t=f.Hc(e[0].shape),n=0,r=e;n<r.length;n++){var a=r[n];t=f.d(t,a)}return t})},t.className="Add",t}(au);i.SerializationMap.register(ou);var iu=function(e){function t(t){return e.call(this,t)||this}return ru(t,e),t.prototype.mergeFunction=function(e){return Object(vr.f)(function(){for(var t=f.rb(e[0].shape),n=0,r=e;n<r.length;n++){var a=r[n];t=f.ib(t,a)}return t})},t.className="Multiply",t}(au);i.SerializationMap.register(iu);var su=function(e){function t(t){return e.call(this,t)||this}return ru(t,e),t.prototype.mergeFunction=function(e){return Object(vr.f)(function(){for(var t=f.Hc(e[0].shape),n=0,r=e;n<r.length;n++){var a=r[n];t=f.d(t,a)}return no(Ua(1/e.length),t)})},t.className="Average",t}(au);i.SerializationMap.register(su);var uu=function(e){function t(t){return e.call(this,t)||this}return ru(t,e),t.prototype.mergeFunction=function(e){return Object(vr.f)(function(){for(var t=e[0],n=1;n<e.length;++n)t=f.Ya(t,e[n]);return t})},t.className="Maximum",t}(au);i.SerializationMap.register(uu);var cu=function(e){function t(t){return e.call(this,t)||this}return ru(t,e),t.prototype.mergeFunction=function(e){return Object(vr.f)(function(){for(var t=e[0],n=1;n<e.length;++n)t=f.cb(t,e[n]);return t})},t.className="Minimum",t}(au);i.SerializationMap.register(cu);var lu=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return ru(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new Xr("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,r=e=e;n<r.length;n++)if(null!=(l=r[n])){t=!1;break}if(!t){for(var a=[],o=0;o<e.length;++o){var i=e[o].slice();i.splice(this.axis,1);for(var s=!1,u=0,c=a;u<c.length;u++){var l=c[u];if(y.arraysEqual(l,i)){s=!0;break}}s||a.push(i)}if(a.length>1)throw new Xr("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return Object(vr.f)(function(){return Za(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new Xr("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,a=0,o=t.slice(1);a<o.length;a++){var i=o[a];if(null==n[r]||null==i[r]){n[r]=null;break}n[r]+=i[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(au);i.SerializationMap.register(lu);var fu=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}();function pu(e,t,n,r,a,o){var i;if(void 0===o&&(o=.001),2===e.rank)i=f.p(e,t,n,o,a,r);else if(3===e.rank)i=f.q(e,t,n,o,a,r);else{if(4!==e.rank)throw new Jr("batchNormalization is not implememnted for array of rank "+e.rank+" yet");i=f.r(e,t,n,o,a,r)}return i}var hu=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=os(t.betaInitializer||"zeros"),n.gammaInitializer=os(t.gammaInitializer||"ones"),n.movingMeanInitializer=os(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=os(t.movingVarianceInitializer||"ones"),n.betaConstraint=Oo(t.betaConstraint),n.gammaConstraint=Oo(t.gammaConstraint),n.betaRegularizer=Rs(t.betaRegularizer),n.gammaRegularizer=Rs(t.gammaRegularizer),n.stepCount=0,n}return fu(t,e),t.prototype.build=function(e){e=fa(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new Xr("Axis "+t+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new Ao({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var r=null!=t.training&&t.training,a=la(e),o=Ga(a),i=o.length,s=_a(0,i),u=n.axis>=0?n.axis:n.axis+i;s.splice(u,1);var c=Zr(1,i);c[u]=o[u];var l=s.slice();l.sort();var p=!y.arraysEqual(l,_a(0,i).slice(0,i-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(c),t=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,o=n.scale?n.gamma.read().reshape(c):null;return pu(a,e,t,r,o,n.epsilon)}return pu(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,r,a){return void 0===a&&(a=.001),y.arraysEqual(r.slice().sort(),_a(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),Object(vr.f)(function(){var o=f.gb(e,r),i=o.mean,s=o.variance;return[pu(e,i,s,n,t,a),i,s]})}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),Object(vr.f)(function(){for(var o=f.gb(e,r),i=o.mean,s=o.variance,u=[],c=0,l=_a(0,e.rank);c<l.length;c++){var p=l[c];-1!==r.indexOf(p)?u.push(1):u.push(e.shape[p])}var h=i.reshape(u),d=s.reshape(u),m=null==t?null:t.reshape(u),g=null==n?null:n.reshape(u);return[pu(e,h,d,g,m,a),i,s]})}(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],m=h[1],g=h[2],v=Ta(s.map(function(e){return a.shape[e]})),b=g.mul(Ua(v/(v-(1+n.epsilon))));return function(){n.stepCount++;var e=f.hb(n.movingMean.read(),m,n.momentum,n.stepCount);n.movingMean.write(e);var t=f.hb(n.movingVariance.read(),b,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:as(this.betaInitializer),gammaInitializer:as(this.gammaInitializer),movingMeanInitializer:as(this.movingMeanInitializer),movingVarianceInitializer:as(this.movingVarianceInitializer),betaRegularizer:Ps(this.betaRegularizer),gammaRegularizer:Ps(this.gammaRegularizer),betaConstraint:xo(this.betaConstraint),gammaConstraint:xo(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(Ro);i.SerializationMap.register(hu);var du=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),mu=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new Xr("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new Xr("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new Xr("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new Ao({ndim:4})],n}return du(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=fa(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){return t=la(e),r=n.padding,a=n.dataFormat,Object(vr.f)(function(){if(4!==t.rank)throw new Xr("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new Xr("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new Xr("Unknown data format: "+a+". Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],f.vb(t,e)});var t,r,a})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(Ro);i.SerializationMap.register(mu);var gu=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}();function yu(e,t,n,r,a,o){return Object(vr.f)(function(){var i;va(a),ma(xa,"PoolMode",o),wa(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==o&&(o="max"),e=zs(e,a);var s="same"===r?"same":"valid";return i="max"===o?f.Xa(e,t,n,s):f.m(e,t,n,s),"channelsFirst"===a&&(i=f.Bc(i,[0,3,1,2])),i})}var vu=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new Xr("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new Xr("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?"valid":t.padding,wa(n.padding),n.inputSpec=[new Ao({ndim:3})],n}return gu(t,e),t.prototype.computeOutputShape=function(e){var t=js((e=fa(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){n.invokeCallHook(e,t),e=Xa(la(e),2);var r=n.poolingFunction(la(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return f.lc(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Ro),bu=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return va(a),wa(r),yu(e,t,n,r,a,"max")},t.className="MaxPooling1D",t}(vu);i.SerializationMap.register(bu);var wu=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return va(a),wa(r),yu(e,t,n,r,a,"avg")},t.className="AveragePooling1D",t}(vu);i.SerializationMap.register(wu);var xu=function(e){function t(t){var n=this;return null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],n.strides=null==t.strides?n.poolSize:t.strides,n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,va(n.dataFormat),wa(n.padding),n.inputSpec=[new Ao({ndim:4})],n}return gu(t,e),t.prototype.computeOutputShape=function(e){e=fa(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=js(t,this.poolSize[0],this.padding,this.strides[0]),n=js(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){return n.invokeCallHook(e,t),n.poolingFunction(la(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Ro),ku=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return va(a),wa(r),yu(e,t,n,r,a,"max")},t.className="MaxPooling2D",t}(xu);i.SerializationMap.register(ku);var Ou=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return va(a),wa(r),yu(e,t,n,r,a,"avg")},t.className="AveragePooling2D",t}(xu);i.SerializationMap.register(Ou);var Su=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new Ao({ndim:3})],n}return gu(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new Jr},t}(Ro),Nu=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.call=function(e,t){return Object(vr.f)(function(){var t=la(e);return f.ab(t,1)})},t.className="GlobalAveragePooling1D",t}(Su);i.SerializationMap.register(Nu);var Eu=function(e){function t(t){return e.call(this,t)||this}return gu(t,e),t.prototype.call=function(e,t){return Object(vr.f)(function(){var t=la(e);return f.Wa(t,1)})},t.className="GlobalMaxPooling1D",t}(Su);i.SerializationMap.register(Eu);var Iu=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,va(n.dataFormat),n.inputSpec=[new Ao({ndim:4})],n}return gu(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new Jr},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Ro),Tu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return gu(t,e),t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var t=la(e);return"channelsLast"===n.dataFormat?f.ab(t,[1,2]):f.ab(t,[2,3])})},t.className="GlobalAveragePooling2D",t}(Iu);i.SerializationMap.register(Tu);var Au=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return gu(t,e),t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var t=la(e);return"channelsLast"===n.dataFormat?f.Wa(t,[1,2]):f.Wa(t,[2,3])})},t.className="GlobalMaxPooling2D",t}(Iu);i.SerializationMap.register(Au);var Cu=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}();function Pu(e,t,n,r,a,o,i,s){void 0===r&&(r=!1),void 0===i&&(i=!1);var u=t.shape.length;if(u<3)throw new Xr("Input should be at least 3D, but is "+u+"D.");var c,l,p=[1,0].concat(_a(2,u));if(t=f.Bc(t,p),null!=a)throw new Jr("The rnn() function of the deeplearn.js backend does not support masking yet.");if(null!=o)throw new Jr("The rnn() functoin of the deeplearn.js backend does not support constants yet.");i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r&&(t=f.Lb(t,0));for(var h=n,d=t.shape[0],m=0;m<d;++m){var g=Ja(t,m,1),y=e(g=g.reshape(g.shape.slice(1)),h);l=y[0],c=0===m?l.reshape([1].concat(l.shape)):$a(c,l.reshape([1].concat(l.shape))),h=y[1]}return[l,f.Bc(c,[1,0].concat(_a(2,c.shape.length))),h]}var _u=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new Xr("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new Bu({cells:t.cell}):t.cell).stateSize)throw new Xr("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new Ao({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r}return Cu(t,e),t.prototype.getStates=function(){return null==this.states?_a(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){ra(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a=[],o=0,i=t;o<i.length;o++){var s=i[o];a.push([e[0],s])}return[n].concat(a)}return n},t.prototype.computeMask=function(e,t){throw new Jr("computeMask has not been implemented for RNN yet")},t.prototype.build=function(e){if(null!=this.numConstants)throw new Jr("Constants support is not implemented in RNN yet.");ra(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new Ao({shape:[t,null,n]});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!y.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new Xr("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new Ao({shape:[null,e]})});if(this.stateful)throw new Jr("stateful RNN layer is not implemented yet")},t.prototype.resetStates=function(e){var t=this;Object(vr.f)(function(){if(!t.stateful)throw new Hr("Cannot call resetState() on an RNN Layer that is not stateful.");var n=t.inputSpec[0].shape[0];if(null==n)throw new Xr("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==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return f.Hc([n,e])}):t.states=[f.Hc([n,t.cell.stateSize])];else if(null==e)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return f.Hc([n,e])}):t.states[0]=f.Hc([n,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new Xr("Layer "+t.name+" expects "+t.states.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);for(var r=0;r<t.states.length;++r){var a=e[r],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[r]:t.cell.stateSize,i=[n,o];if(!y.arraysEqual(a.shape,i))throw new Xr("State "+r+" is incompatible with layer "+t.name+": expected shape="+i+", received shape="+a.shape);t.states[r]=a}}})},t.prototype.standardizeArgs=function(e,t,n){if(Array.isArray(e)){if(null!=t||null!=n)throw new Xr("When inputs is an array, neither initialState or constants should be provided");null!=this.numConstants&&(n=e.slice(e.length-this.numConstants,e.length),e=e.slice(0,e.length-this.numConstants)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=r(t),constants:n=r(n)}},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var o=this.standardizeArgs(t,r,a);t=o.inputs,r=o.initialState,a=o.constants;var i=[],s=[];if(null!=r){n.initialState=r,i=i.concat(r),this.stateSpec=[];for(var u=0,c=r;u<c.length;u++){var l=c[u];this.stateSpec.push(new Ao({shape:l.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,i=i.concat(a),this.numConstants=a.length),i[0]instanceof ja){var f=[t].concat(i),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){var r=null==t?null:t.mask,a=null==t?null:t.training,o=null==t?null:t.initialState;if(e=la(e),null==o){if(n.stateful)throw new Jr("stateful RNN layer is not implemented yet.");o=n.getInitialState(e)}if(null!=r)throw new Jr("Masking is not implemented for RNN yet");var i=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(o.length!==i)throw new Xr("RNN Layer has "+i+" state(s) but was passed "+o.length+" initial state(s).");e.shape[1],n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Pu(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,o,n.goBackwards,null,null,n.unroll),c=u[0],l=u[1],f=u[2];if(n.stateful)throw new Jr("stateful RNN layer is not implemented yet");var p=n.returnSequences?l:c;return n.returnState?[p].concat(f):p})},t.prototype.getInitialState=function(e){var t=this;return Object(vr.f)(function(){var n=f.Hc(e.shape);return n=Xa(n=f.rc(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?eo(n,[1,e]):n}):t.cell.stateSize>1?[eo(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className="RNN",t}(Ro);i.SerializationMap.register(_u);var Ru=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Cu(t,e),function(e,t,n,r){var a,o=arguments.length,i=o<3?t:null===r?r=Object.getOwnPropertyDescriptor(t,n):r;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)i=Reflect.decorate(e,t,n,r);else for(var s=e.length-1;s>=0;s--)(a=e[s])&&(i=(o<3?a(i):o>3?a(t,n,i):a(t,n))||i);return o>3&&i&&Object.defineProperty(t,n,i),i}([Object(qt.a)({heading:"Layers",subheading:"Classes"})],t)}(Ro),Mu=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=xs(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=os(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=os(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=os(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Rs(t.kernelRegularizer),n.recurrentRegularizer=Rs(t.recurrentRegularizer),n.biasRegularizer=Rs(t.biasRegularizer),n.kernelConstraint=Oo(t.kernelConstraint),n.recurrentConstraint=Oo(t.recurrentConstraint),n.biasConstraint=Oo(t.biasConstraint),n.dropout=Ca([1,Pa([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=Ca([1,Pa([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n}return Cu(t,e),t.prototype.build=function(e){e=fa(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){if(2!==(e=e).length)throw new Xr("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var t=e[1];if(e=e[0],0!==n.dropout||0!==n.recurrentDropout)throw new Jr("Dropout is not implemented for SimpleRNNCell yet");var r=oo(e,n.kernel.read());null!=n.bias&&(r=uo(r,n.bias.read()));var a=f.d(r,oo(t,n.recurrentKernel.read()));return null!=n.activation&&(a=n.activation.apply(a)),[a,a]})},t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}(Ru);i.SerializationMap.register(Mu);var ju=function(e){function t(t){return t.cell=new Mu(t),e.call(this,t)||this}return Cu(t,e),t.prototype.call=function(t,n){var r=this;return Object(vr.f)(function(){var a=null==n?null:n.mask,o=null==n?null:n.training,i=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:i})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className="SimpleRNN",t}(_u);i.SerializationMap.register(ju);var Du=function(e){function t(t){var n=e.call(this,t)||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=t.units,n.activation=xs(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=xs(void 0===t.activation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=os(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=os(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=os(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Rs(t.kernelRegularizer),n.recurrentRegularizer=Rs(t.recurrentRegularizer),n.biasRegularizer=Rs(t.biasRegularizer),n.kernelConstraint=Oo(t.kernelConstraint),n.recurrentConstraint=Oo(t.recurrentConstraint),n.biasConstraint=Oo(t.biasConstraint),n.dropout=Ca([1,Pa([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=Ca([1,Pa([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n}return Cu(t,e),t.prototype.build=function(e){var t=(e=fa(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new Jr("Dropout is not implemented for GRUCell yet");if(2!==(e=e).length)throw new Xr("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var t,r,a,o=e[1];if(e=e[0],1===n.implementation){var i=Ya(n.kernel.read(),0,n.units),s=Ya(n.kernel.read(),n.units,n.units),u=Ya(n.kernel.read(),2*n.units,n.units),c=Ya(n.recurrentKernel.read(),0,n.units),l=Ya(n.recurrentKernel.read(),n.units,n.units),p=Ya(n.recurrentKernel.read(),2*n.units,n.units),h=e,d=e,m=oo(e,i),g=oo(h,s),y=oo(d,u);if(n.useBias){var v=Ja(n.bias.read(),0,n.units),b=Ja(n.bias.read(),n.units,n.units),w=Ja(n.bias.read(),2*n.units,n.units);m=uo(m,v),g=uo(g,b),y=uo(y,w)}var x=o,k=o,O=o;t=n.recurrentActivation.apply(f.d(m,oo(x,c))),r=n.recurrentActivation.apply(f.d(g,oo(k,l))),a=n.activation.apply(f.d(y,oo(f.ib(r,O),p)))}else{var S=oo(e,n.kernel.read());n.useBias&&(S=uo(S,n.bias.read()));var N=oo(o,Ya(n.recurrentKernel.read(),0,2*n.units)),E=(m=Ya(S,0,n.units),g=Ya(S,n.units,n.units),Ya(N,0,n.units)),I=Ya(N,n.units,n.units);t=n.recurrentActivation.apply(f.d(m,E)),r=n.recurrentActivation.apply(f.d(g,I)),y=Ya(S,2*n.units,n.units);var T=oo(f.ib(r,o),Ya(n.recurrentKernel.read(),2*n.units,n.units));a=n.activation.apply(f.d(y,T))}var A=f.d(f.ib(t,o),f.ib(ro(Ua(1),f.mb(t)),a));return[A,A]})},t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}(Ru);i.SerializationMap.register(Du);var Lu=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Du(t),e.call(this,t)||this}return Cu(t,e),t.prototype.call=function(t,n){var r=this;return Object(vr.f)(function(){var a=null==n?null:n.mask,o=null==n?null:n.training,i=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:i})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(_u);i.SerializationMap.register(Lu);var zu=function(e){function t(t){var n=e.call(this,t)||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=t.units,n.activation=xs(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=xs(void 0===t.activation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=os(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=os(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=os(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=Rs(t.kernelRegularizer),n.recurrentRegularizer=Rs(t.recurrentRegularizer),n.biasRegularizer=Rs(t.biasRegularizer),n.kernelConstraint=Oo(t.kernelConstraint),n.recurrentConstraint=Oo(t.recurrentConstraint),n.biasConstraint=Oo(t.biasConstraint),n.dropout=Ca([1,Pa([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=Ca([1,Pa([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n}return Cu(t,e),t.prototype.build=function(e){var t,n,r=(e=fa(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,o=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return Cu(t,e),t.prototype.apply=function(e,t){var n=a.apply([o]),r=(new Gi).apply([o]),i=a.apply([2*o]);return $a($a(n,r),i)},t}(Ui)).className="CustomInit",n)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new Jr("Dropout is not implemented for LSTMCell yet");if(3!==(e=e).length)throw new Xr("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var t,r,a,o,i=e[1],s=e[2];if(e=e[0],1===n.implementation){var u=Ya(n.kernel.read(),0,n.units),c=Ya(n.kernel.read(),n.units,n.units),l=Ya(n.kernel.read(),2*n.units,n.units),p=Ya(n.kernel.read(),3*n.units,n.units),h=Ya(n.recurrentKernel.read(),0,n.units),d=Ya(n.recurrentKernel.read(),n.units,n.units),m=Ya(n.recurrentKernel.read(),2*n.units,n.units),g=Ya(n.recurrentKernel.read(),3*n.units,n.units),y=e,v=e,b=e,w=oo(e,u),x=oo(y,c),k=oo(v,l),O=oo(b,p);if(n.useBias){var S=Ja(n.bias.read(),0,n.units),N=Ja(n.bias.read(),n.units,n.units),E=Ja(n.bias.read(),2*n.units,n.units),I=Ja(n.bias.read(),3*n.units,n.units);w=uo(w,S),x=uo(x,N),k=uo(k,E),O=uo(O,I)}var T=i,A=i,C=i,P=i;t=n.recurrentActivation.apply(f.d(w,oo(T,h))),r=n.recurrentActivation.apply(f.d(x,oo(A,d))),a=f.d(f.ib(r,s),f.ib(t,n.activation.apply(f.d(k,oo(C,m))))),o=n.recurrentActivation.apply(f.d(O,oo(P,g)))}else{var _=oo(e,n.kernel.read());_=f.d(_,oo(i,n.recurrentKernel.read())),n.useBias&&(_=uo(_,n.bias.read()));var R=Ya(_,0,n.units),M=Ya(_,n.units,n.units),j=Ya(_,2*n.units,n.units),D=Ya(_,3*n.units,n.units);t=n.recurrentActivation.apply(R),r=n.recurrentActivation.apply(M),a=f.d(f.ib(r,s),f.ib(t,n.activation.apply(j))),o=n.recurrentActivation.apply(D)}var L=f.ib(o,n.activation.apply(a));return[L,L,a]})},t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}(Ru);i.SerializationMap.register(zu);var Fu=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new zu(t),e.call(this,t)||this}return Cu(t,e),t.prototype.call=function(t,n){var r=this;return Object(vr.f)(function(){var a=null==n?null:n.mask,o=null==n?null:n.training,i=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:i})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return 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this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:bs(this.activation),useBias:this.useBias,kernelInitializer:as(this.kernelInitializer),recurrentInitializer:as(this.recurrentInitializer),biasInitializer:as(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ps(this.kernelRegularizer),recurrentRegularizer:Ps(this.recurrentRegularizer),biasRegularizer:Ps(this.biasRegularizer),activityRegularizer:Ps(this.activityRegularizer),kernelConstraint:xo(this.kernelConstraint),recurrentConstraint:xo(this.recurrentConstraint),biasConstraint:xo(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(_u);i.SerializationMap.register(Fu);var Bu=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return Cu(t,e),Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return Object(vr.f)(function(){for(var r=(e=e).slice(1),a=[],o=0,i=n.cells.slice().reverse();o<i.length;o++){var s=i[o];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,c=[],l=0;l<n.cells.length;++l)s=n.cells[l],r=a[l],u=0===l?[e[0]].concat(r):[u[0]].concat(r),u=s.call(u,t),c.push(u.slice(1));r=[];for(var f=0,p=c.slice().reverse();f<p.length;f++){var h=p[f];r.push.apply(r,h)}return[u[0]].concat(r)})},t.prototype.build=function(e){var t;ra(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var a=r[n];a.build(e),t=Array.isArray(a.stateSize)?a.stateSize[0]:a.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var a=r[n];t.push({className:this.getClassName(),config:a.getConfig()})}var o={cells:t},i=e.prototype.getConfig.call(this);return Object.assign(o,i),o},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],a=0,o=t.cells;a<o.length;a++){var i=o[a];r.push(So(i,n))}return new e({cells:r})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var a=[],o=0,i=this.cells;o<i.length;o++)r=i[o],a.push.apply(a,r.trainableWeights);return a.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return za(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var a=r[n],o=a.weights.length,i=e.splice(o),s=0;s<a.weights.length;++s)t.push([a.weights[s],i[s]]);Fa(t)},t.className="StackedRNNCells",t}(Ru);i.SerializationMap.register(Bu);var Vu=function(){var e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};return function(t,n){function r(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(r.prototype=n.prototype,new r)}}(),Uu=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return Vu(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,"trainable",{get:function(){return 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5:e.skip().pos++,a.attr===gc.emptyObject&&(a.attr={}),n=e.string(),e.pos++,a.attr[n]=yc.tensorflow.AttrValue.decode(e,e.uint32());break;case 3:a.nodeDef&&a.nodeDef.length||(a.nodeDef=[]),a.nodeDef.push(yc.tensorflow.NodeDef.decode(e,e.uint32()));break;case 4:e.skip().pos++,a.ret===gc.emptyObject&&(a.ret={}),n=e.string(),e.pos++,a.ret[n]=e.string();break;default:e.skipType(7&o)}}return a},e}(),e.GradientDef=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.functionName="",e.prototype.gradientFunc="",e.decode=function(e,t){e instanceof mc||(e=mc.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new yc.tensorflow.GradientDef;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.functionName=e.string();break;case 2:r.gradientFunc=e.string();break;default:e.skipType(7&a)}}return r},e}(),e})();function bc(e,t,n,r){var a=t.params[e];if(a&&void 0!==a.inputIndex){if("tensor"===a.type)return 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Sc=n(239),Nc=Object.assign({},Sc,{default:Sc}),Ec=n(238),Ic=Object.assign({},Ec,{default:Ec}),Tc=n(237),Ac=Object.assign({},Tc,{default:Tc}),Cc=n(236),Pc=Object.assign({},Cc,{default:Cc}),_c=n(235),Rc=Object.assign({},_c,{default:_c}),Mc=n(234),jc=Object.assign({},Mc,{default:Mc}),Dc=n(233),Lc=Object.assign({},Dc,{default:Dc}),zc=n(232),Fc=Object.assign({},zc,{default:zc}),Bc=n(231),Vc=Object.assign({},Bc,{default:Bc}),Uc=n(230),Wc=Object.assign({},Uc,{default:Uc}),Gc=n(229),qc=Object.assign({},Gc,{default:Gc}),Hc=n(228),Kc=Object.assign({},Hc,{default:Hc}),Xc=n(227),Jc=Object.assign({},Xc,{default:Xc}),Yc=["Switch","Merge","Enter","Exit","NextIteration"],Qc=function(){function e(){var e=[Nc,Ic,Ac,Pc,Rc,Fc,Lc,jc,Vc,Wc,qc,Kc,Jc],t=[].concat.apply([],e.map(function(e){return e.default?e.default:e}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,"Instance",{get:function(){return this._instance||(this._instance=new 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n.params&&(r.params=n.params.reduce(function(n,r){var a=r.tfInputIndex,o=r.tfInputParamLength,i=r.type,s=void 0;if(void 0===a)switch(r.type){case"string":void 0===(s=t.getStringParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getStringParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number":void 0===(s=t.getNumberParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumberParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number[]":void 0===(s=t.getNumericArrayParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumericArrayParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"bool":void 0===(s=t.getBoolParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getBoolParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"shape":void 0===(s=t.getTensorShapeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getTensorShapeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"dtype":void 0===(s=t.getDtypeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getDtypeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+r.type+" for op: "+e.op)}return n[r.dlParamName]={value:s,inputIndex:a,type:i,inputParamLength:o},n},{})),r},e.prototype.getStringParam=function(e,t,n,r){void 0===r&&(r=!1);var a=e[t];if(void 0!==a){var o=String.fromCharCode.apply(null,a.s);return r?o:o.toLowerCase()}return n},e.prototype.getBoolParam=function(e,t,n){var r=e[t];return r?r.b:n},e.prototype.getNumberParam=function(e,t,n){var r=e[t],a=r?void 0!==r.f?r.f:r.i:n;return"number"==typeof a?a:a.toInt()},e.prototype.getDtypeParam=function(e,t,n){var r=e[t];if(r&&r.type)switch(r.type){case 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implemented")}},$c=function(e,t,n){switch(e.op){case"abs":return[f.a(bc("x",e,t,n))];case"acos":return[f.b(bc("x",e,t,n))];case"acosh":return[f.c(bc("x",e,t,n))];case"asin":return[f.h(bc("x",e,t,n))];case"asinh":return[f.i(bc("x",e,t,n))];case"atan":return[f.j(bc("x",e,t,n))];case"atanh":return[f.l(bc("x",e,t,n))];case"ceil":return[f.u(bc("x",e,t,n))];case"cos":return[f.F(bc("x",e,t,n))];case"cosh":return[f.G(bc("x",e,t,n))];case"elu":return[f.M(bc("x",e,t,n))];case"erf":return[f.P(bc("x",e,t,n))];case"exp":return[f.Q(bc("x",e,t,n))];case"expm1":return[f.S(bc("x",e,t,n))];case"floor":return[f.V(bc("x",e,t,n))];case"log":return[f.La(bc("x",e,t,n))];case"log1p":return[f.Ma(bc("x",e,t,n))];case"neg":return[f.mb(bc("x",e,t,n))];case"reciprocal":return[f.Ib(bc("x",e,t,n))];case"relu":return[f.Jb(bc("x",e,t,n))];case"round":return[f.Qb(bc("x",e,t,n))];case"selu":return[f.Tb(bc("x",e,t,n))];case"sigmoid":return[f.Vb(bc("x",e,t,n))];case"sin":return[f.Xb(bc("x",e,t,n))];case"sign":return[f.Wb(bc("x",e,t,n))];case"sinh":return[f.Yb(bc("x",e,t,n))];case"softplus":return[f.fc(bc("x",e,t,n))];case"sqrt":return[f.hc(bc("x",e,t,n))];case"square":return[f.ic(bc("x",e,t,n))];case"tanh":return[f.tc(bc("x",e,t,n))];case"tan":return[f.sc(bc("x",e,t,n))];case"clipByValue":return[f.v(bc("x",e,t,n),bc("clipValueMin",e,t,n),bc("clipValueMax",e,t,n))];case"rsqrt":return[f.J(f.Sb(1,"float32"),f.hc(wc(e.inputNames[0],t,n)))];default:throw TypeError("Node type "+e.op+" is not implemented")}},el=function(e,t,n,r){return new(n||(n=Promise))(function(a,o){function i(e){try{u(r.next(e))}catch(e){o(e)}}function s(e){try{u(r.throw(e))}catch(e){o(e)}}function u(e){e.done?a(e.value):new n(function(t){t(e.value)}).then(i,s)}u((r=r.apply(e,t||[])).next())})},tl=function(e,t){var n,r,a,o,i={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;i;)try{if(n=1,r&&(a=r[2&o[0]?"return":o[0]?"throw":"next"])&&!(a=a.call(r,o[1])).done)return a;switch(r=0,a&&(o=[0,a.value]),o[0]){case 0:case 1:a=o;break;case 4:return i.label++,{value:o[1],done:!1};case 5:i.label++,r=o[1],o=[0];continue;case 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r=bc("strides",e,t,n),a=bc("pad",e,t,n),[f.E(bc("x",e,t,n),bc("filter",e,t,n),u,[r[1],r[2]],a)];case"depthwiseConv2d":return r=bc("strides",e,t,n),a=bc("pad",e,t,n),s=bc("dilations",e,t,n),o=bc("dataFormat",e,t,n).toUpperCase(),[f.I(bc("input",e,t,n),bc("filter",e,t,n),[r[1],r[2]],a,o,[s[0],s[1]])];case"avgPool":r=bc("strides",e,t,n),a=bc("pad",e,t,n);var c=bc("kernelSize",e,t,n);return[f.m(bc("x",e,t,n),[c[1],c[2]],[r[1],r[2]],a)];case"maxPool":return r=bc("strides",e,t,n),a=bc("pad",e,t,n),c=bc("kernelSize",e,t,n),[f.Xa(bc("x",e,t,n),[c[1],c[2]],[r[1],r[2]],a)];default:throw TypeError("Node type "+e.op+" is not implemented")}},rl=function(e,t,n){switch(e.op){case"fill":var r=bc("shape",e,t,n),a=bc("value",e,t,n);return[f.U(r,a)];case"linspace":var o=bc("start",e,t,n),i=bc("stop",e,t,n),s=bc("num",e,t,n);return[f.Ja(o,i,s)];case"oneHot":var u=bc("indices",e,t,n),c=bc("depth",e,t,n),l=bc("onValue",e,t,n),p=bc("offValue",e,t,n);return[f.qb(u,c,l,p)];case"ones":return[f.rb(bc("shape",e,t,n),bc("dtype",e,t,n))];case"onesLike":return[f.sb(bc("x",e,t,n))];case"randomUniform":return[f.Gb(bc("shape",e,t,n),bc("minval",e,t,n),bc("maxval",e,t,n),bc("dtype",e,t,n))];case"range":o=bc("start",e,t,n);var h=bc("stop",e,t,n),d=bc("step",e,t,n);return[f.Hb(o,h,d,bc("dtype",e,t,n))];case"truncatedNormal":r=bc("shape",e,t,n);var m=bc("mean",e,t,n),g=bc("stdDev",e,t,n),y=bc("seed",e,t,n);return[f.Cc(r,m,g,bc("dtype",e,t,n),y)];case"zeros":return[f.Hc(bc("shape",e,t,n),bc("dtype",e,t,n))];case"zerosLike":return[f.Ic(bc("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},al=function(e,t,n){switch(e.op){case"const":return t[e.name];case"placeholder":var r=bc("default",e,t,n);return[wc(e.name,t,n)||r];case"identity":case"stopGradient":case"fakeQuantWithMinMaxVars":return[bc("x",e,t,n)];case"snapshot":return[bc("x",e,t,n).clone()];case"shape":return[f.vc(bc("x",e,t,n).shape,"int32")];case"noop":return[];case"print":var a=bc("x",e,t,n),o=bc("data",e,t,n),i=bc("message",e,t,n),s=bc("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(i);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[0].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}},ol=function(e,t,n){switch(e.op){case"resizeBilinear":var r=bc("images",e,t,n),a=bc("size",e,t,n),o=bc("alignCorners",e,t,n);return[f.Ca.resizeBilinear(r,[a[0],a[1]],o)];case"resizeNearestNeighbor":return r=bc("images",e,t,n),a=bc("size",e,t,n),o=bc("alignCorners",e,t,n),[f.Ca.resizeNearestNeighbor(r,[a[0],a[1]],o)];default:throw TypeError("Node type "+e.op+" is not implemented")}},il=function(e,t,n){switch(e.op){case"equal":return[f.N(bc("a",e,t,n),bc("b",e,t,n))];case"notEqual":return[f.ob(bc("a",e,t,n),bc("b",e,t,n))];case"greater":return[f.Y(bc("a",e,t,n),bc("b",e,t,n))];case"greaterEqual":return[f.Z(bc("a",e,t,n),bc("b",e,t,n))];case"less":return[f.Ea(bc("a",e,t,n),bc("b",e,t,n))];case"lessEqual":return[f.Fa(bc("a",e,t,n),bc("b",e,t,n))];case"logicalAnd":return[f.Pa(bc("a",e,t,n),bc("b",e,t,n))];case"logicalNot":return[f.Qa(bc("a",e,t,n))];case"logicalOr":return[f.Ra(bc("a",e,t,n),bc("b",e,t,n))];case"where":return[f.Gc(bc("condition",e,t,n),bc("a",e,t,n),bc("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},sl=function(e,t,n){switch(e.op){case"matMul":return[f.Ua(bc("a",e,t,n),bc("b",e,t,n),bc("transposeA",e,t,n),bc("transposeB",e,t,n))];case"transpose":return[f.Bc(bc("x",e,t,n),bc("perm",e,t,n))];default:throw TypeError("Node type "+e.op+" is not 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implemented")}},ll=function(e,t,n){switch(e.op){case"concat":var r=bc("axis",e,t,n),a=bc("tensors",e,t,n);return[f.x(a,r)];case"gather":r=bc("axis",e,t,n);var o=bc("x",e,t,n),i=bc("indices",e,t,n);return[f.X(o,i,r)];case"reverse":return r=bc("axis",e,t,n),o=bc("x",e,t,n),[f.Lb(o,r)];case"slice":var s=bc("begin",e,t,n),u=bc("size",e,t,n);return[f.Zb(bc("x",e,t,n),s,u)];case"stridedSlice":s=bc("begin",e,t,n);var c=bc("end",e,t,n),l=bc("strides",e,t,n),p=bc("beginMask",e,t,n),h=bc("endMask",e,t,n);return[f.oc(bc("x",e,t,n),s,c,l,p,h)];case"stack":return vr.f(function(){var r=bc("axis",e,t,n),a=bc("tensors",e,t,n),o=a[0].shape,i=a[0].squeeze().shape,s=a.map(function(e){var t=y.arraysEqual(e.shape,o);if(!t&&!y.arraysEqual(e.squeeze().shape,i))throw new Error("the input tensors shape does not match");return t?e:e.reshape(o)});return[f.mc(s,r)]});case"tile":var d=bc("reps",e,t,n);return[f.zc(bc("x",e,t,n),d)];case"split":r=bc("axis",e,t,n);var m=bc("numOrSizeSplits",e,t,n);return f.gc(bc("x",e,t,n),m,r);default:throw TypeError("Node type "+e.op+" is not implemented")}},fl=function(e,t,n){switch(e.op){case"cast":return[f.t(bc("x",e,t,n),bc("dtype",e,t,n))];case"expandDims":var r=e.params.axis.value;return[f.R(bc("x",e,t,n),r)];case"squeeze":return r=e.params.axis.value,[f.lc(bc("x",e,t,n),r)];case"reshape":return[f.Kb(bc("x",e,t,n),bc("shape",e,t,n))];case"pad":return[f.vb(bc("x",e,t,n),function(e,t){for(var n=[],r=0;r<e.length;r+=2)n.push(e.slice(r,r+2));return n}(bc("padding",e,t,n)),bc("constantValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}};function pl(e,t,n){switch(e.category){case"arithmetic":return Zc(e,t,n);case"basic_math":return $c(e,t,n);case"control":return function(e,t,n){return el(this,void 0,void 0,function(){var r,a,o,i,s,u,c;return tl(this,function(l){switch(l.label){case 0:switch(e.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]}return[3,8];case 1:return[2,[bc("pred",e,t,n)]];case 2:return r=bc("pred",e,t,n),a=bc("data",e,t,n),[4,r.data()];case 3:return[2,l.sent()[0]?[void 0,a]:[a,void 0]];case 4:return[2,(o=e.inputNames.find(function(e){return void 0!==wc(e,t,n)}))?[wc(o,t,n)]:void 0];case 5:return i=bc("frameName",e,t,n),s=bc("tensor",e,t,n),n.enterFrame(i),[2,[s]];case 6:return u=bc("tensor",e,t,n),n.exitFrame(),[2,[u]];case 7:return c=bc("tensor",e,t,n),n.nextIteration(),[2,[c]];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})}(e,t,n);case"convolution":return nl(e,t,n);case"creation":return rl(e,t,n);case"image":return ol(e,t,n);case"graph":return al(e,t,n);case"logical":return il(e,t,n);case"matrices":return sl(e,t,n);case"normalization":return ul(e,t,n);case"reduction":return cl(e,t,n);case"slice_join":return ll(e,t,n);case"transformation":return fl(e,t,n);default:throw TypeError("Node type "+e.op+" is not implemented")}}var hl=function(){function e(e){this.weightMap=e,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.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()},e.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 e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e}(),dl=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var a in t=arguments[n])Object.prototype.hasOwnProperty.call(t,a)&&(e[a]=t[a]);return e},ml=function(e,t,n,r){return new(n||(n=Promise))(function(a,o){function i(e){try{u(r.next(e))}catch(e){o(e)}}function s(e){try{u(r.throw(e))}catch(e){o(e)}}function u(e){e.done?a(e.value):new n(function(t){t(e.value)}).then(i,s)}u((r=r.apply(e,t||[])).next())})},gl=function(e,t){var n,r,a,o,i={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new 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Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.placeholders},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"isControlFlowModel",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),e.prototype.compile=function(){if(!this.graph.withControlFlow)for(var e=this.graph.inputs.slice(),t={};e.length>0;){var n=e.pop();t[n.name]=!0,this.compiledOrder.push(n),n.children.forEach(function(n){!t[n.name]&&n.inputNames.every(function(e){var n=xc(e)[0];return t[n]})&&e.push(n)})}},e.prototype.execute=function(e,t){var n=this;return 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this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var a={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,output:t,gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(a)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&r.ENV.engine.safeMode)throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.");return this.activeScope.keep.push(e),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={keep:[],track:[]};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=this.activeScope.keep,a=i.extractTensorsFromContainer(e);r=r.concat(a);for(var o=0;o<this.activeScope.track.length;o++){var s=this.activeScope.track[o];i.isTensorInList(s,r)||(null!=this.activeTape?a.push(s):s.dispose())}this.scopeStack.pop(),this.activeScope=0===this.scopeStack.length?{keep:[],track:[]}:this.scopeStack[this.scopeStack.length-1],a.forEach(function(e){i.isTensorInList(e,n.activeScope.keep)||n.track(e)})},e.prototype.dispose=function(){},e.prototype.gradients=function(e,t,n,r){var s=this;return void 0===r&&(r=!1),i.assert(t.length>0,"gradients() received an empty list of xs."),Object(a.f)("gradients",function(){var a=e();i.assert(a instanceof c.a,"The result y returned by f() must be a tensor.");var u=function(e,t,n){for(var r={},a={},o=0;o<t.length;o++)r[t[o].id]=!0;for(o=0;o<e.length;o++){var i=(m=e[o]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<t.length;l++)if(r[u.id]){r[m.output.id]=!0,c=!0,a[m.id]=!0;break}if(c)break}}var f={};f[n.id]=!0;var p={};for(o=e.length-1;o>=0;o--){i=(m=e[o]).inputs;var h=[];for(h.push(m.output),l=0;l<h.length;l++)if(f[h[l].id]){for(var s in i)f[i[s].id]=!0,p[m.id]=!0;break}}var d=[];for(o=0;o<e.length;o++){var m;if(a[(m=e[o]).id]&&p[m.id]){var g={};for(var s in m.inputs){var y=m.inputs[s];r[y.id]&&(g[s]=y)}var v=Object.assign({},m);v.inputs=g,v.output=m.output,d.push(v)}}return d}(s.activeTape,t,a);if(!r&&0===u.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");var l={};return l[a.id]=null==n?o.rb(a.shape):n,function(e,t){for(var n=t.length-1;n>=0;n--){var r=t[n],a=e[r.output.id];if(null==r.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+r.name+".");var o=r.gradient(a);for(var s in r.inputs){if(!(s in o))throw new Error("Cannot backprop through input "+s+". Available gradients found: "+Object.keys(o)+".");var u=o[s](),c=r.inputs[s];if(!i.arraysEqual(u.shape,c.shape))throw new Error("Error in gradient for op "+r.name+". The gradient of input '"+s+"' has shape '"+u.shape+"', which does not match the shape of the input '"+c.shape+"'");if(null==e[c.id])e[c.id]=u;else{var l=e[c.id];e[c.id]=l.add(u),l.dispose()}}}}(l,u),{value:a,grads:t.map(function(e){return l[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return i.assert(i.isFunction(e),"The f passed in customGrad(f) must be a function."),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];i.assert(r.every(function(e){return e instanceof c.a}),"The args passed in customGrad(f)(x1, x2,...) must all be tensors"),t.customGradientDepth++;var s=Object(a.f)(e.name,function(){var t=e.apply(void 0,r),a=t.value,o=t.gradFunc;return i.assert(a instanceof c.a,"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),i.assert(i.isFunction(o),"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),n=o,a},!0);return t.customGradientDepth--,t.shouldRecord()&&t.addTapeNode(r,s,function(e){var t=n(e),a=Array.isArray(t)?t:[t];return i.assert(a.length===r.length,"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),i.assert(a.every(function(e){return e instanceof c.a}),"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."),a}),s}},e.prototype.write=function(e,t){this.backend.write(e,t)},e.prototype.readSync=function(e){return this.backend.readSync(e)},e.prototype.read=function(e){return this.backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return function(e,t,n,r){return new(n||(n=Promise))(function(a,o){function i(e){try{u(r.next(e))}catch(e){o(e)}}function s(e){try{u(r.throw(e))}catch(e){o(e)}}function u(e){e.done?a(e.value):new n(function(t){t(e.value)}).then(i,s)}u((r=r.apply(e,t||[])).next())})}(this,void 0,void 0,function(){var t,n;return function(e,t){var n,r,a,o,i={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return o={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function s(o){return function(s){return function(o){if(n)throw new TypeError("Generator is already executing.");for(;i;)try{if(n=1,r&&(a=r[2&o[0]?"return":o[0]?"throw":"next"])&&!(a=a.call(r,o[1])).done)return a;switch(r=0,a&&(o=[0,a.value]),o[0]){case 0:case 1:a=o;break;case 4:return i.label++,{value:o[1],done:!1};case 5:i.label++,r=o[1],o=[0];continue;case 7:o=i.ops.pop(),i.trys.pop();continue;default:if(!(a=(a=i.trys).length>0&&a[a.length-1])&&(6===o[0]||2===o[0])){i=0;continue}if(3===o[0]&&(!a||o[1]>a[0]&&o[1]<a[3])){i.label=o[1];break}if(6===o[0]&&i.label<a[1]){i.label=a[1],a=o;break}if(a&&i.label<a[2]){i.label=a[2],i.ops.push(o);break}a[2]&&i.ops.pop(),i.trys.pop();continue}o=t.call(e,i)}catch(e){o=[6,e],r=0}finally{n=a=0}if(5&o[0])throw o[1];return{value:o[0]?o[1]:void 0,done:!0}}([o,s])}}}(this,function(r){switch(r.label){case 0:return t=performance.now(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=performance.now()-t,[2,n]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.");return this.activeScope.track.push(e),e},e}()},function(e){e.exports=[{tfOpName:"Cast",dlOpName:"cast",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"SrcT",dlParamName:"sdtype",type:"dtype",notSupported:!0},{tfParamName:"DstT",dlParamName:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",dlOpName:"expandDims",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,tfParamNameDeprecated:"dim",dlParamName:"axis",type:"number"}]},{tfOpName:"Pad",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfParamName:"constant_value",dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfInputIndex:2,dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",dlOpName:"reshape",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"shape",type:"number[]"}]},{tfOpName:"Squeeze",dlOpName:"squeeze",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"axis",tfParamNameDeprecated:"squeeze_dims",dlParamName:"axis",type:"number[]"}]}]},function(e){e.exports=[{tfOpName:"ConcatV2",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:-1,dlParamName:"axis",type:"number"}]},{tfOpName:"Concat",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:1,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:0,dlParamName:"axis",type:"number"}]},{tfOpName:"GatherV2",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0},{tfParamName:"validate_indices",dlParamName:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"ReverseV2",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"Slice",dlOpName:"slice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"size",type:"number[]"}]},{tfOpName:"StridedSlice",dlOpName:"stridedSlice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"end",type:"number[]"},{tfInputIndex:3,dlParamName:"strides",type:"number[]"},{tfParamName:"begin_mask",dlParamName:"beginMask",type:"number",defaultValue:0},{tfParamName:"end_mask",dlParamName:"endMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",dlOpName:"stack",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:0,dlParamName:"tensors",type:"tensors"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Tile",dlOpName:"tile",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"reps",type:"number[]"}]},{tfOpName:"Split",dlOpName:"split",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"axis",type:"number",defaultValue:0},{tfInputIndex:1,dlParamName:"x",type:"tensor"},{tfParamName:"num_split",dlParamName:"numOrSizeSplits",type:"number",defaultValue:1}]}]},function(e){e.exports=[{tfOpName:"Max",dlOpName:"max",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Mean",dlOpName:"mean",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Min",dlOpName:"min",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Sum",dlOpName:"sum",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",dlOpName:"argMax",category:"reduction",pa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|nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(e.substr(0,4))}n.d(t,"a",function(){return r})},function(e,t,n){"use strict";n.r(t);var r=n(10),a={0:"tench, Tinca tinca",1:"goldfish, Carassius auratus",2:"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",3:"tiger shark, Galeocerdo cuvieri",4:"hammerhead, hammerhead shark",5:"electric ray, crampfish, numbfish, torpedo",6:"stingray",7:"cock",8:"hen",9:"ostrich, Struthio camelus",10:"brambling, Fringilla montifringilla",11:"goldfinch, Carduelis carduelis",12:"house finch, linnet, Carpodacus mexicanus",13:"junco, snowbird",14:"indigo bunting, indigo finch, indigo bird, Passerina cyanea",15:"robin, American robin, Turdus migratorius",16:"bulbul",17:"jay",18:"magpie",19:"chickadee",20:"water ouzel, dipper",21:"kite",22:"bald eagle, American eagle, Haliaeetus leucocephalus",23:"vulture",24:"great grey owl, great gray owl, Strix nebulosa",25:"European fire salamander, Salamandra salamandra",26:"common newt, Triturus vulgaris",27:"eft",28:"spotted salamander, Ambystoma maculatum",29:"axolotl, mud puppy, Ambystoma mexicanum",30:"bullfrog, Rana catesbeiana",31:"tree frog, tree-frog",32:"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",33:"loggerhead, loggerhead turtle, Caretta caretta",34:"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",35:"mud turtle",36:"terrapin",37:"box turtle, box tortoise",38:"banded gecko",39:"common iguana, iguana, Iguana iguana",40:"American chameleon, anole, Anolis carolinensis",41:"whiptail, whiptail lizard",42:"agama",43:"frilled lizard, Chlamydosaurus kingi",44:"alligator lizard",45:"Gila monster, Heloderma suspectum",46:"green lizard, Lacerta viridis",47:"African chameleon, Chamaeleo chamaeleon",48:"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",49:"African crocodile, Nile crocodile, Crocodylus niloticus",50:"American alligator, Alligator mississipiensis",51:"triceratops",52:"thunder snake, worm snake, Carphophis amoenus",53:"ringneck snake, ring-necked snake, ring snake",54:"hognose snake, puff adder, sand viper",55:"green snake, grass snake",56:"king snake, kingsnake",57:"garter snake, grass snake",58:"water snake",59:"vine snake",60:"night snake, Hypsiglena torquata",61:"boa constrictor, Constrictor constrictor",62:"rock python, rock snake, Python sebae",63:"Indian cobra, Naja naja",64:"green mamba",65:"sea snake",66:"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",67:"diamondback, diamondback rattlesnake, Crotalus adamanteus",68:"sidewinder, horned rattlesnake, Crotalus cerastes",69:"trilobite",70:"harvestman, daddy longlegs, Phalangium opilio",71:"scorpion",72:"black and gold garden spider, Argiope aurantia",73:"barn spider, Araneus cavaticus",74:"garden spider, Aranea diademata",75:"black widow, Latrodectus mactans",76:"tarantula",77:"wolf spider, hunting spider",78:"tick",79:"centipede",80:"black grouse",81:"ptarmigan",82:"ruffed grouse, partridge, Bonasa umbellus",83:"prairie chicken, prairie grouse, prairie fowl",84:"peacock",85:"quail",86:"partridge",87:"African grey, African gray, Psittacus erithacus",88:"macaw",89:"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",90:"lorikeet",91:"coucal",92:"bee eater",93:"hornbill",94:"hummingbird",95:"jacamar",96:"toucan",97:"drake",98:"red-breasted merganser, Mergus serrator",99:"goose",100:"black swan, Cygnus atratus",101:"tusker",102:"echidna, spiny anteater, anteater",103:"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",104:"wallaby, brush kangaroo",105:"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",106:"wombat",107:"jelly fish",108:"sea anemone, anemone",109:"brain coral",110:"flatworm, platyhelminth",111:"nematode, nematode worm, roundworm",112:"conch",113:"snail",114:"slug",115:"sea slug, nudibranch",116:"chiton, coat-of-mail shell, sea cradle, polyplacophore",117:"chambered nautilus, pearly nautilus, nautilus",118:"Dungeness crab, Cancer magister",119:"rock crab, Cancer irroratus",120:"fiddler crab",121:"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",122:"American lobster, Northern lobster, Maine lobster, Homarus americanus",123:"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",124:"crayfish, crawfish, crawdad, crawdaddy",125:"hermit crab",126:"isopod",127:"white stork, Ciconia ciconia",128:"black stork, Ciconia nigra",129:"spoonbill",130:"flamingo",131:"little blue heron, Egretta caerulea",132:"American egret, great white heron, Egretta albus",133:"bittern",134:"crane",135:"limpkin, Aramus pictus",136:"European gallinule, Porphyrio porphyrio",137:"American coot, marsh hen, mud hen, water hen, Fulica americana",138:"bustard",139:"ruddy turnstone, Arenaria interpres",140:"red-backed sandpiper, dunlin, Erolia alpina",141:"redshank, Tringa totanus",142:"dowitcher",143:"oystercatcher, oyster catcher",144:"pelican",145:"king penguin, Aptenodytes patagonica",146:"albatross, mollymawk",147:"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",148:"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",149:"dugong, Dugong dugon",150:"sea lion",151:"Chihuahua",152:"Japanese spaniel",153:"Maltese dog, Maltese terrier, Maltese",154:"Pekinese, Pekingese, Peke",155:"Shih-Tzu",156:"Blenheim spaniel",157:"papillon",158:"toy terrier",159:"Rhodesian ridgeback",160:"Afghan hound, Afghan",161:"basset, basset hound",162:"beagle",163:"bloodhound, sleuthhound",164:"bluetick",165:"black-and-tan coonhound",166:"Walker hound, Walker foxhound",167:"English foxhound",168:"redbone",169:"borzoi, Russian wolfhound",170:"Irish wolfhound",171:"Italian greyhound",172:"whippet",173:"Ibizan hound, Ibizan Podenco",174:"Norwegian elkhound, elkhound",175:"otterhound, otter hound",176:"Saluki, gazelle hound",177:"Scottish deerhound, deerhound",178:"Weimaraner",179:"Staffordshire bullterrier, Staffordshire bull terrier",180:"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",181:"Bedlington terrier",182:"Border terrier",183:"Kerry blue terrier",184:"Irish terrier",185:"Norfolk terrier",186:"Norwich terrier",187:"Yorkshire terrier",188:"wire-haired fox terrier",189:"Lakeland terrier",190:"Sealyham terrier, Sealyham",191:"Airedale, Airedale terrier",192:"cairn, cairn terrier",193:"Australian terrier",194:"Dandie Dinmont, Dandie Dinmont terrier",195:"Boston bull, Boston terrier",196:"miniature schnauzer",197:"giant schnauzer",198:"standard schnauzer",199:"Scotch terrier, Scottish terrier, Scottie",200:"Tibetan terrier, chrysanthemum dog",201:"silky terrier, Sydney silky",202:"soft-coated wheaten terrier",203:"West Highland white terrier",204:"Lhasa, Lhasa apso",205:"flat-coated retriever",206:"curly-coated retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, ocean liner",629:"lipstick, lip rouge",630:"Loafer",631:"lotion",632:"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",633:"loupe, jeweler's loupe",634:"lumbermill, sawmill",635:"magnetic compass",636:"mailbag, postbag",637:"mailbox, letter box",638:"maillot",639:"maillot, tank suit",640:"manhole cover",641:"maraca",642:"marimba, xylophone",643:"mask",644:"matchstick",645:"maypole",646:"maze, labyrinth",647:"measuring cup",648:"medicine chest, medicine cabinet",649:"megalith, megalithic structure",650:"microphone, mike",651:"microwave, microwave oven",652:"military uniform",653:"milk can",654:"minibus",655:"miniskirt, mini",656:"minivan",657:"missile",658:"mitten",659:"mixing bowl",660:"mobile home, manufactured home",661:"Model T",662:"modem",663:"monastery",664:"monitor",665:"moped",666:"mortar",667:"mortarboard",668:"mosque",669:"mosquito net",670:"motor scooter, scooter",671:"mountain bike, all-terrain bike, off-roader",672:"mountain tent",673:"mouse, computer mouse",674:"mousetrap",675:"moving van",676:"muzzle",677:"nail",678:"neck brace",679:"necklace",680:"nipple",681:"notebook, notebook computer",682:"obelisk",683:"oboe, hautboy, hautbois",684:"ocarina, sweet potato",685:"odometer, hodometer, mileometer, milometer",686:"oil filter",687:"organ, pipe organ",688:"oscilloscope, scope, cathode-ray oscilloscope, CRO",689:"overskirt",690:"oxcart",691:"oxygen mask",692:"packet",693:"paddle, boat paddle",694:"paddlewheel, paddle wheel",695:"padlock",696:"paintbrush",697:"pajama, pyjama, pj's, jammies",698:"palace",699:"panpipe, pandean pipe, syrinx",700:"paper towel",701:"parachute, chute",702:"parallel bars, bars",703:"park bench",704:"parking meter",705:"passenger car, coach, carriage",706:"patio, terrace",707:"pay-phone, pay-station",708:"pedestal, plinth, footstall",709:"pencil box, pencil case",710:"pencil sharpener",711:"perfume, essence",712:"Petri dish",713:"photocopier",714:"pick, plectrum, plectron",715:"pickelhaube",716:"picket fence, paling",717:"pickup, pickup truck",718:"pier",719:"piggy bank, penny bank",720:"pill bottle",721:"pillow",722:"ping-pong ball",723:"pinwheel",724:"pirate, pirate ship",725:"pitcher, ewer",726:"plane, carpenter's plane, woodworking plane",727:"planetarium",728:"plastic bag",729:"plate rack",730:"plow, plough",731:"plunger, plumber's helper",732:"Polaroid camera, Polaroid Land camera",733:"pole",734:"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",735:"poncho",736:"pool table, billiard table, snooker table",737:"pop bottle, soda bottle",738:"pot, flowerpot",739:"potter's 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retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon 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rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo 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kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, ocean liner",629:"lipstick, lip rouge",630:"Loafer",631:"lotion",632:"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",633:"loupe, jeweler's loupe",634:"lumbermill, sawmill",635:"magnetic compass",636:"mailbag, postbag",637:"mailbox, letter box",638:"maillot",639:"maillot, tank suit",640:"manhole cover",641:"maraca",642:"marimba, xylophone",643:"mask",644:"matchstick",645:"maypole",646:"maze, labyrinth",647:"measuring cup",648:"medicine chest, medicine cabinet",649:"megalith, megalithic structure",650:"microphone, mike",651:"microwave, microwave oven",652:"military uniform",653:"milk can",654:"minibus",655:"miniskirt, mini",656:"minivan",657:"missile",658:"mitten",659:"mixing bowl",660:"mobile home, manufactured home",661:"Model T",662:"modem",663:"monastery",664:"monitor",665:"moped",666:"mortar",667:"mortarboard",668:"mosque",669:"mosquito net",670:"motor scooter, scooter",671:"mountain bike, all-terrain bike, off-roader",672:"mountain tent",673:"mouse, computer mouse",674:"mousetrap",675:"moving van",676:"muzzle",677:"nail",678:"neck brace",679:"necklace",680:"nipple",681:"notebook, notebook computer",682:"obelisk",683:"oboe, hautboy, hautbois",684:"ocarina, sweet potato",685:"odometer, hodometer, mileometer, milometer",686:"oil filter",687:"organ, pipe organ",688:"oscilloscope, scope, cathode-ray oscilloscope, CRO",689:"overskirt",690:"oxcart",691:"oxygen mask",692:"packet",693:"paddle, boat paddle",694:"paddlewheel, paddle wheel",695:"padlock",696:"paintbrush",697:"pajama, pyjama, pj's, jammies",698:"palace",699:"panpipe, pandean pipe, syrinx",700:"paper towel",701:"parachute, chute",702:"parallel bars, bars",703:"park bench",704:"parking meter",705:"passenger car, coach, carriage",706:"patio, terrace",707:"pay-phone, pay-station",708:"pedestal, plinth, footstall",709:"pencil box, pencil case",710:"pencil sharpener",711:"perfume, essence",712:"Petri dish",713:"photocopier",714:"pick, plectrum, plectron",715:"pickelhaube",716:"picket fence, paling",717:"pickup, pickup truck",718:"pier",719:"piggy bank, penny bank",720:"pill bottle",721:"pillow",722:"ping-pong ball",723:"pinwheel",724:"pirate, pirate ship",725:"pitcher, ewer",726:"plane, carpenter's plane, woodworking plane",727:"planetarium",728:"plastic bag",729:"plate rack",730:"plow, plough",731:"plunger, plumber's helper",732:"Polaroid camera, Polaroid Land camera",733:"pole",734:"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",735:"poncho",736:"pool table, billiard table, snooker table",737:"pop bottle, soda bottle",738:"pot, flowerpot",739:"potter's wheel",740:"power drill",741:"prayer rug, prayer mat",742:"printer",743:"prison, prison house",744:"projectile, missile",745:"projector",746:"puck, hockey puck",747:"punching bag, punch bag, punching ball, punchball",748:"purse",749:"quill, quill pen",750:"quilt, comforter, comfort, puff",751:"racer, race car, racing car",752:"racket, racquet",753:"radiator",754:"radio, wireless",755:"radio telescope, radio reflector",756:"rain barrel",757:"recreational vehicle, RV, R.V.",758:"reel",759:"reflex camera",760:"refrigerator, icebox",761:"remote control, remote",762:"restaurant, eating house, eating place, eatery",763:"revolver, six-gun, six-shooter",764:"rifle",765:"rocking chair, rocker",766:"rotisserie",767:"rubber eraser, rubber, pencil eraser",768:"rugby ball",769:"rule, ruler",770:"running shoe",771:"safe",772:"safety pin",773:"saltshaker, salt shaker",774:"sandal",775:"sarong",776:"sax, saxophone",777:"scabbard",778:"scale, weighing machine",779:"school bus",780:"schooner",781:"scoreboard",782:"screen, CRT screen",783:"screw",784:"screwdriver",785:"seat belt, seatbelt",786:"sewing machine",787:"shield, buckler",788:"shoe shop, shoe-shop, shoe store",789:"shoji",790:"shopping basket",791:"shopping cart",792:"shovel",793:"shower cap",794:"shower curtain",795:"ski",796:"ski mask",797:"sleeping bag",798:"slide rule, slipstick",799:"sliding door",800:"slot, one-armed bandit",801:"snorkel",802:"snowmobile",803:"snowplow, snowplough",804:"soap dispenser",805:"soccer ball",806:"sock",807:"solar dish, solar collector, solar furnace",808:"sombrero",809:"soup bowl",810:"space bar",811:"space heater",812:"space shuttle",813:"spatula",814:"speedboat",815:"spider web, spider's web",816:"spindle",817:"sports car, sport car",818:"spotlight, spot",819:"stage",820:"steam locomotive",821:"steel arch bridge",822:"steel drum",823:"stethoscope",824:"stole",825:"stone wall",826:"stopwatch, stop watch",827:"stove",828:"strainer",829:"streetcar, tram, tramcar, trolley, trolley car",830:"stretcher",831:"studio couch, day bed",832:"stupa, tope",833:"submarine, pigboat, sub, U-boat",834:"suit, suit of clothes",835:"sundial",836:"sunglass",837:"sunglasses, dark glasses, shades",838:"sunscreen, sunblock, sun blocker",839:"suspension bridge",840:"swab, swob, mop",841:"sweatshirt",842:"swimming trunks, bathing trunks",843:"swing",844:"switch, electric switch, electrical switch",845:"syringe",846:"table lamp",847:"tank, army tank, armored combat vehicle, armoured combat vehicle",848:"tape player",849:"teapot",850:"teddy, teddy bear",851:"television, television system",852:"tennis ball",853:"thatch, thatched roof",854:"theater curtain, theatre curtain",855:"thimble",856:"thresher, thrasher, threshing machine",857:"throne",858:"tile roof",859:"toaster",860:"tobacco shop, tobacconist shop, tobacconist",861:"toilet seat",862:"torch",863:"totem pole",864:"tow truck, tow car, wrecker",865:"toyshop",866:"tractor",867:"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",868:"tray",869:"trench coat",870:"tricycle, trike, velocipede",871:"trimaran",872:"tripod",873:"triumphal arch",874:"trolleybus, trolley coach, trackless trolley",875:"trombone",876:"tub, vat",877:"turnstile",878:"typewriter keyboard",879:"umbrella",880:"unicycle, monocycle",881:"upright, upright piano",882:"vacuum, vacuum cleaner",883:"vase",884:"vault",885:"velvet",886:"vending machine",887:"vestment",888:"viaduct",889:"violin, fiddle",890:"volleyball",891:"waffle iron",892:"wall clock",893:"wallet, billfold, notecase, pocketbook",894:"wardrobe, closet, press",895:"warplane, military plane",896:"washbasin, handbasin, washbowl, lavabo, wash-hand basin",897:"washer, automatic washer, washing machine",898:"water bottle",899:"water jug",900:"water tower",901:"whiskey jug",902:"whistle",903:"wig",904:"window screen",905:"window shade",906:"Windsor tie",907:"wine bottle",908:"wing",909:"wok",910:"wooden spoon",911:"wool, woolen, woollen",912:"worm fence, snake fence, snake-rail fence, Virginia fence",913:"wreck",914:"yawl",915:"yurt",916:"web site, website, internet site, site",917:"comic book",918:"crossword puzzle, crossword",919:"street sign",920:"traffic light, traffic signal, stoplight",921:"book jacket, dust cover, dust jacket, dust wrapper",922:"menu",923:"plate",924:"guacamole",925:"consomme",926:"hot pot, hotpot",927:"trifle",928:"ice cream, icecream",929:"ice lolly, lolly, lollipop, popsicle",930:"French loaf",931:"bagel, beigel",932:"pretzel",933:"cheeseburger",934:"hotdog, hot dog, red hot",935:"mashed potato",936:"head cabbage",937:"broccoli",938:"cauliflower",939:"zucchini, courgette",940:"spaghetti squash",941:"acorn squash",942:"butternut squash",943:"cucumber, cuke",944:"artichoke, globe artichoke",945:"bell pepper",946:"cardoon",947:"mushroom",948:"Granny Smith",949:"strawberry",950:"orange",951:"lemon",952:"fig",953:"pineapple, ananas",954:"banana",955:"jackfruit, jak, jack",956:"custard apple",957:"pomegranate",958:"hay",959:"carbonara",960:"chocolate sauce, chocolate syrup",961:"dough",962:"meat loaf, meatloaf",963:"pizza, pizza pie",964:"potpie",965:"burrito",966:"red wine",967:"espresso",968:"cup",969:"eggnog",970:"alp",971:"bubble",972:"cliff, drop, drop-off",973:"coral reef",974:"geyser",975:"lakeside, lakeshore",976:"promontory, headland, head, foreland",977:"sandbar, sand bar",978:"seashore, coast, seacoast, sea-coast",979:"valley, vale",980:"volcano",981:"ballplayer, baseball player",982:"groom, bridegroom",983:"scuba diver",984:"rapeseed",985:"daisy",986:"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",987:"corn",988:"acorn",989:"hip, rose hip, rosehip",990:"buckeye, horse chestnut, conker",991:"coral fungus",992:"agaric",993:"gyromitra",994:"stinkhorn, carrion fungus",995:"earthstar",996:"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",997:"bolete",998:"ear, spike, capitulum",999:"toilet tissue, toilet paper, bathroom tissue"}},function(e,t,n){"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=p(n(53)),a=p(n(61)),o=p(n(60)),i=p(n(41)),s=p(n(40)),u=function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}(n(10)),c=p(n(124)),l=n(272),f=n(98);function p(e){return e&&e.__esModule?e:{default:e}}var h={version:1,alpha:1,topk:3,learningRate:1e-4,hiddenUnits:100,epochs:20,numClasses:2,batchSize:.4},d=function(){function e(t,n){var 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| //# sourceMappingURL=ml5.min.js.map |
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| var featureExtractor; | |
| var classifier; | |
| var video; | |
| var loss; | |
| var dogImages = 0; | |
| var catImages = 0; | |
| function setup() { | |
| noCanvas(); | |
| // video要素の生成 | |
| video = createCapture(VIDEO); | |
| video.size(320, 240); | |
| // 生成したvideo要素をvideoContainer要素に追加 | |
| video.parent('videoContainer'); | |
| // 既にMobileNetで学習させた特徴を展開 | |
| featureExtractor = ml5.featureExtractor('MobileNet', modelReady); | |
| // ビデオを入力にして、既に展開させた特徴抽出でクラス分類機を生成する | |
| classifier = featureExtractor.classification(video); | |
| // ボタンのUIを生成 | |
| createButtons(); | |
| } | |
| // モデルが読み込まれたら、呼びだされる関数 | |
| function modelReady() { | |
| select('#modelStatus').html('Base Model (MobileNet) loaded!'); | |
| } | |
| // カメラの現在のフレームの画像をクラス分類機に追加する | |
| function addImage(label) { | |
| classifier.addImage(label); | |
| } | |
| // 現在のフレームの画像を分類する | |
| function classify() { | |
| classifier.classify(gotResults); | |
| } | |
| // ボタンのUIを生成する関数 | |
| function createButtons() { | |
| // Catボタンが押されたら、現在のフレームの画像に"cat"のラベルをつけて追加する | |
| buttonA = select('#catButton'); | |
| buttonA.mousePressed(function () { | |
| addImage('cat'); | |
| select('#amountOfCatImages').html(catImages++); | |
| }); | |
| // Dogボタンが押されたら、現在のフレームの画像に"dog"のラベルをつけて追加する | |
| buttonB = select('#dogButton'); | |
| buttonB.mousePressed(function () { | |
| addImage('dog'); | |
| select('#amountOfDogImages').html(dogImages++); | |
| }); | |
| // 学習ボタン | |
| train = select('#train'); | |
| train.mousePressed(function () { | |
| classifier.train(function (lossValue) { | |
| if (lossValue) { | |
| loss = lossValue; | |
| select('#loss').html('Loss: ' + loss); | |
| } else { | |
| select('#loss').html('Done Training! Final Loss: ' + loss); | |
| } | |
| }); | |
| }); | |
| // 類推ボタン | |
| buttonPredict = select('#buttonPredict'); | |
| buttonPredict.mousePressed(classify); | |
| } | |
| // 結果の表示 | |
| function gotResults(result) { | |
| select('#result').html(result); | |
| classify(); | |
| } |
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