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r.onnx.AttributeProto?o.Tensor.fromProto(n):o.Tensor.fromOrtTensor(n);if(t===r.onnx.AttributeProto.AttributeType.TENSORS){if(e instanceof r.onnx.AttributeProto)return n.map((e=>o.Tensor.fromProto(e)));if(e instanceof s.Attribute)return n.map((e=>o.Tensor.fromOrtTensor(e)))}if(t===r.onnx.AttributeProto.AttributeType.STRING&&e instanceof r.onnx.AttributeProto){const e=n;return(0,a.decodeUtf8String)(e)}return t===r.onnx.AttributeProto.AttributeType.STRINGS&&e instanceof r.onnx.AttributeProto?n.map(a.decodeUtf8String):n}static getValueNoCheck(e){return e instanceof r.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(e):this.getValueNoCheckFromOrtFormat(e)}static getValueNoCheckFromOnnxFormat(e){switch(e.type){case r.onnx.AttributeProto.AttributeType.FLOAT:return e.f;case r.onnx.AttributeProto.AttributeType.INT:return e.i;case r.onnx.AttributeProto.AttributeType.STRING:return e.s;case r.onnx.AttributeProto.AttributeType.TENSOR:return e.t;case r.onnx.AttributeProto.AttributeType.GRAPH:return e.g;case r.onnx.AttributeProto.AttributeType.FLOATS:return e.floats;case r.onnx.AttributeProto.AttributeType.INTS:return e.ints;case r.onnx.AttributeProto.AttributeType.STRINGS:return e.strings;case r.onnx.AttributeProto.AttributeType.TENSORS:return e.tensors;case r.onnx.AttributeProto.AttributeType.GRAPHS:return e.graphs;default:throw new Error(`unsupported attribute type: ${r.onnx.AttributeProto.AttributeType[e.type]}`)}}static getValueNoCheckFromOrtFormat(e){switch(e.type()){case s.AttributeType.FLOAT:return e.f();case s.AttributeType.INT:return e.i();case s.AttributeType.STRING:return e.s();case s.AttributeType.TENSOR:return e.t();case s.AttributeType.GRAPH:return e.g();case s.AttributeType.FLOATS:return e.floatsArray();case s.AttributeType.INTS:{const t=[];for(let n=0;n<e.intsLength();n++)t.push(e.ints(n));return t}case s.AttributeType.STRINGS:{const t=[];for(let n=0;n<e.stringsLength();n++)t.push(e.strings(n));return t}case 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width, int height) {\n        int t = offset / width;\n        int s = offset - t*width;\n        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);\n        return coords;\n      }\n      ")}}coordsToOffset(){return{coordsToOffset:new i.GlslLibRoutine("\n      int coordsToOffset(vec2 coords, int width, int height) {\n        float s = coords.s * float(width);\n        float t = coords.t * float(height);\n        int offset = int(t) * width + int(s);\n        return offset;\n      }\n      ")}}getOutputSamplingSnippet(){const e=this.context.outputTextureLayout;return e.isPacked?this.getPackedOutputSamplingSnippet(e):this.getUnpackedOutputSamplingSnippet(e)}getPackedOutputSamplingSnippet(e){const t=e.unpackedShape,n=[e.width,e.height],r={},a="getOutputCoords";switch(t.length){case 0:r[a]=this.getOutputScalarCoords();break;case 1:r[a]=this.getOutputPacked1DCoords(t,n);break;case 2:r[a]=this.getOutputPacked2DCoords(t,n);break;case 3:r[a]=this.getOutputPacked3DCoords(t,n);break;default:r[a]=this.getOutputPackedNDCoords(t,n)}const s=`\n      void setOutput(vec4 val) {\n        ${(0,o.getGlsl)(this.context.glContext.version).output} = val;\n      }\n    `;return r.floatTextureSetRGBA=new i.GlslLibRoutine(s),r}getUnpackedOutputSamplingSnippet(e){const t=e.unpackedShape,n=[e.width,e.height],r={},a="getOutputCoords";switch(t.length){case 0:r[a]=this.getOutputScalarCoords();break;case 1:r[a]=this.getOutputUnpacked1DCoords(t,n);break;case 2:r[a]=this.getOutputUnpacked2DCoords(t,n);break;case 3:r[a]=this.getOutputUnpacked3DCoords(t,n);break;case 4:r[a]=this.getOutputUnpacked4DCoords(t,n);break;case 5:r[a]=this.getOutputUnpacked5DCoords(t,n);break;case 6:r[a]=this.getOutputUnpacked6DCoords(t,n);break;default:throw new Error(`Unsupported output dimensionality: ${t.length}`)}const s=`\n        void setOutput(float val) {\n          ${(0,o.getGlsl)(this.context.glContext.version).output} = vec4(val, 0, 0, 0);\n        }\n    `;return r.floatTextureSetR=new i.GlslLibRoutine(s),r}getOutputScalarCoords(){return new i.GlslLibRoutine("\n      int getOutputCoords() {\n        return 0;\n      }\n    ")}getOutputPacked1DCoords(e,t){const n=t;let r="";return 1===n[0]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.y * ${n[1]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):1===n[1]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.x * ${n[0]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):(r=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                 vec2(${n[0]}, ${n[1]}));\n          return 2 * (resTexRC.y * ${n[0]} + resTexRC.x);\n        }\n      `,new i.GlslLibRoutine(r))}getOutputPacked2DCoords(e,t){let n="";if(r.ArrayUtil.arraysEqual(e,t))return n=`\n        ivec2 getOutputCoords() {\n          return 2 * ivec2(TexCoords.xy * vec2(${t[0]}, ${t[1]}));\n        }\n      `,new i.GlslLibRoutine(n);const o=t,a=Math.ceil(e[1]/2);return n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${o[0]}, ${o[1]}));\n\n          int index = resTexRC.y * ${o[0]} + resTexRC.x;\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${a}) * 2;\n          int c = 2 * (index / ${a});\n\n          return ivec2(r, c);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputPacked3DCoords(e,t){const n=[t[0],t[1]],r=Math.ceil(e[2]/2),o=r*Math.ceil(e[1]/2),a=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${n[0]}, ${n[1]}));\n          int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n          int b = index / ${o};\n          index -= b * ${o};\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${r}) * 2;\n          int c = 2 * (index / ${r});\n\n          return ivec3(b, r, c);\n        }\n      `;return new i.GlslLibRoutine(a)}getOutputPackedNDCoords(e,t){const n=[t[0],t[1]],r=Math.ceil(e[e.length-1]/2),o=r*Math.ceil(e[e.length-2]/2);let a=o,s="",u="b, r, c";for(let t=2;t<e.length-1;t++)a*=e[e.length-t-1],s=`\n      int b${t} = index / ${a};\n      index -= b${t} * ${a};\n    `+s,u=`b${t}, `+u;const c=`\n      ivec${e.length} getOutputCoords() {\n        ivec2 resTexRC = ivec2(TexCoords.xy *\n                              vec2(${n[0]}, ${n[1]}));\n        int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n        ${s}\n\n        int b = index / ${o};\n        index -= b * ${o};\n\n        // reverse r and c order for packed texture\n        int r = imod(index, ${r}) * 2;\n        int c = 2 * (index / ${r});\n\n        return ivec${e.length}(${u});\n      }\n    `;return new i.GlslLibRoutine(c)}getOutputUnpacked1DCoords(e,t){const n=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          return resTexRC.y * ${t[0]} + resTexRC.x;\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked2DCoords(e,t){const n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          int r = index / ${e[1]};\n          int c = index - r * ${e[1]};\n          return ivec2(r, c);\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked3DCoords(e,t){let n="";const r=e.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];const a=["r","c","d"],s=o.map(((e,t)=>`int ${a[t]} = index / ${e}; ${t===o.length-1?`int ${a[t+1]} = index - ${a[t]} * ${e}`:`index -= ${a[t]} * ${e}`};`)).join("");return n=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${s}\n          return ivec3(r, c, d);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked4DCoords(e,t){let n="";const r=e.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];const a=["r","c","d","d2"],s=o.map(((e,t)=>`int ${a[t]} = index / ${e}; ${t===o.length-1?`int ${a[t+1]} = index - ${a[t]} * ${e}`:`index -= ${a[t]} * ${e}`};`)).join("");return n=`\n      ivec4 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${s}\n          return ivec4(r, c, d, d2);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked5DCoords(e,t){let n="";const r=e.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];const a=["r","c","d","d2","d3"],s=o.map(((e,t)=>`int ${a[t]} = index / ${e}; ${t===o.length-1?`int ${a[t+1]} = index - ${a[t]} * ${e}`:`index -= ${a[t]} * ${e}`};`)).join("");return n=`\n      ivec5 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${s}\n          return ivec5(r, c, d, d2, d3);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked6DCoords(e,t){let n="";const r=e.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];const a=["r","c","d","d2","d3","d4"],s=o.map(((e,t)=>`int ${a[t]} = index / ${e}; ${t===o.length-1?`int ${a[t+1]} = index - ${a[t]} * ${e}`:`index -= ${a[t]} * ${e}`};`)).join("");return n=`\n     ivec6 getOutputCoords() {\n         ivec2 resTexRC = ivec2(TexCoords.xy *\n                               vec2(${t[0]}, ${t[1]}));\n         int index = resTexRC.y * ${t[0]} + resTexRC.x;\n         ${s}\n         return ivec6(r, c, d, d2, d3, d4);\n       }\n     `,new i.GlslLibRoutine(n)}getCommonUtilFuncs(){const e={};let t="uvFromFlat";e[t]=new i.GlslLibRoutine("\n    vec2 uvFromFlat(int texNumR, int texNumC, int index) {\n      int texC = index / texNumR;\n      int texR = index - texC * texNumR;\n      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to\n      //       v.\n      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);\n    }\n    "),t="packedUVfrom1D",e[t]=new i.GlslLibRoutine("\n      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n        int texelIndex = index / 2;\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="packedUVfrom2D",e[t]=new i.GlslLibRoutine("\n      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {\n        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="packedUVfrom3D",e[t]=new i.GlslLibRoutine("\n      vec2 packedUVfrom3D(int texNumR, int texNumC,\n          int texelsInBatch, int texelsInLogicalRow, int b,\n          int row, int col) {\n        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = index / texNumC;\n        int texC = index - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="sampleTexture";const n=(0,o.getGlsl)(this.context.glContext.version);return e[t]=new i.GlslLibRoutine(`\n        float sampleTexture(sampler2D textureSampler, vec2 uv) {\n            return ${n.texture2D}(textureSampler, uv).r;\n        }`),e}getInputsSamplingSnippets(){const e={},t=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach(((n,r)=>{const i=this.context.inputTextureLayouts[r],o=(0,s.generateShaderFuncNameFromInputSamplerName)(n);i.isPacked?e[o]=this.getPackedSamplerFromInput(o,n,i):e[o]=this.getUnpackedSamplerFromInput(o,n,i);const a=(0,s.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(n);i.unpackedShape.length<=t.unpackedShape.length&&(i.isPacked?e[a]=this.getPackedSamplerAtOutputCoords(a,i,t,n):e[a]=this.getUnpackedSamplerAtOutputCoords(a,i,t,n))})),e}getPackedSamplerAtOutputCoords(e,t,n,o){const a=t.unpackedShape,u=n.unpackedShape,c=o,l=(0,s.generateShaderFuncNameFromInputSamplerName)(c),d=a.length,p=u.length,f=r.BroadcastUtil.getBroadcastDims(a,u),h=(0,s.getCoordsDataType)(p),g=p-d;let m;const b=(0,s.getGlChannels)();m=0===d?"":p<2&&f.length>=1?"coords = 0;":f.map((e=>`coords.${b[e+g]} = 0;`)).join("\n");let y="";y=p<2&&d>0?"coords":a.map(((e,t)=>`coords.${b[t+g]}`)).join(", ");let _="return outputValue;";const v=1===r.ShapeUtil.size(a),w=1===r.ShapeUtil.size(u);if(1!==d||v||w){if(v&&!w)_=1===p?"\n          return vec4(outputValue.x, outputValue.x, 0., 0.);\n        ":"\n          return vec4(outputValue.x);\n        ";else if(f.length){const e=d-2,t=d-1;f.indexOf(e)>-1&&f.indexOf(t)>-1?_="return vec4(outputValue.x);":f.indexOf(e)>-1?_="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":f.indexOf(t)>-1&&(_="return vec4(outputValue.xx, outputValue.zz);")}}else _="\n        return vec4(outputValue.xy, outputValue.xy);\n      ";const x=`\n      vec4 ${e}() {\n        ${h} coords = getOutputCoords();\n        \n        int lastDim = coords.${b[p-1]};\n        coords.${b[p-1]} = coords.${b[p-2]};\n        coords.${b[p-2]} = lastDim;\n      \n        ${m}\n        vec4 outputValue = ${l}(${y});\n        ${_}\n      }\n    `;return new i.GlslLibRoutine(x,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(e,t,n,o){const a=[n.width,n.height],u=[t.width,t.height],c=t.unpackedShape.length,l=n.unpackedShape.length,d=t.unpackedShape,p=n.unpackedShape,f=(0,s.generateShaderFuncNameFromInputSamplerName)(o);if(c===l&&r.ArrayUtil.arraysEqual(u,a)){const t=`\n          float ${e}() {\n            return sampleTexture(${o}, TexCoords);\n          }\n        `;return new i.GlslLibRoutine(t,["coordinates.sampleTexture"])}const h=(0,s.getCoordsDataType)(l),g=r.BroadcastUtil.getBroadcastDims(d,p),m=l-c;let b;const y=(0,s.getGlChannels)();b=0===c?"":l<2&&g.length>=1?"coords = 0;":g.map((e=>`coords.${y[e+m]} = 0;`)).join("\n");let _="";_=l<2&&c>0?"coords":t.unpackedShape.map(((e,t)=>`coords.${y[t+m]}`)).join(", ");const v=`\n        float ${e}() {\n          ${h} coords = getOutputCoords();\n          ${b}\n          return ${f}(${_});\n        }\n      `;return new i.GlslLibRoutine(v,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(e,t,n){switch(n.unpackedShape.length){case 0:return this.getPackedSamplerScalar(e,t);case 1:return this.getPackedSampler1D(e,t,n);case 2:return this.getPackedSampler2D(e,t,n);case 3:return this.getPackedSampler3D(e,t,n);default:return this.getPackedSamplerND(e,t,n)}}getUnpackedSamplerFromInput(e,t,n){const r=n.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(e,t,n);case 1:return this.getUnpackedSampler1D(e,t,n);case 2:return this.getUnpackedSampler2D(e,t,n);case 3:return this.getUnpackedSampler3D(e,t,n);case 4:return this.getUnpackedSampler4D(e,t,n);case 5:return this.getUnpackedSampler5D(e,t,n);case 6:return this.getUnpackedSampler6D(e,t,n);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(e,t){const n=`\n          vec4 ${e}() {\n            return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${t}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n)}getPackedSampler1D(e,t,n){const r=[n.width,n.height],a=[r[1],r[0]],s=(0,o.getGlsl)(this.context.glContext.version),u=`vec4 ${e}(int index) {\n      vec2 uv = packedUVfrom1D(\n      ${a[0]}, ${a[1]}, index);\n      return ${s.texture2D}(${t}, uv);\n    }`;return new i.GlslLibRoutine(u,["coordinates.packedUVfrom1D"])}getPackedSampler2D(e,t,n){const a=n.unpackedShape,s=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),c=s[0],l=s[1];if(null!=s&&r.ArrayUtil.arraysEqual(a,s)){const n=`vec4 ${e}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${l}.0, ${c}.0);\n        return ${u.texture2D}(${t}, uv);\n      }`;return new i.GlslLibRoutine(n)}const d=s,p=Math.ceil(a[1]/2),f=`vec4 ${e}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${d[1]}, ${d[0]}, ${p}, row, col);\n      return ${u.texture2D}(${t}, uv);\n    }`;return new i.GlslLibRoutine(f,["coordinates.packedUVfrom2D"])}getPackedSampler3D(e,t,n){const r=n.unpackedShape,a=[n.width,n.height],u=[a[0],a[1]],c=(0,o.getGlsl)(this.context.glContext.version);if(1===r[0]){const o=r.slice(1),a=[1,2],u=(0,s.squeezeInputShape)(r,o),c=["b","row","col"],l=JSON.parse(JSON.stringify(n));l.unpackedShape=u;const d=this.getPackedSamplerFromInput(e,t,l),p=`${d.routineBody}\n      vec4 ${e}(int b, int row, int col) {\n        return ${e}(${(0,s.getSqueezedParams)(c,a)});\n      } `;return new i.GlslLibRoutine(p,d.dependencies)}const l=u[0],d=u[1],p=Math.ceil(r[2]/2),f=`vec4 ${e}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${d}, ${l}, ${p*Math.ceil(r[1]/2)}, ${p}, b, row, col);\n      return ${c.texture2D}(${t}, uv);}`;return new i.GlslLibRoutine(f,["coordinates.packedUVfrom3D"])}getPackedSamplerND(e,t,n){const r=n.unpackedShape,a=r.length,s=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),c=[s[0],s[1]],l=c[1],d=c[0],p=Math.ceil(r[a-1]/2);let f=p*Math.ceil(r[a-2]/2),h="int b, int row, int col",g=`b * ${f} + (row / 2) * ${p} + (col / 2)`;for(let e=2;e<a-1;e++)h=`int b${e}, `+h,f*=r[a-e-1],g=`b${e} * ${f} + `+g;const m=`vec4 ${e}(${h}) {\n      int index = ${g};\n      int texR = index / ${d};\n      int texC = index - texR * ${d};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${d}, ${l});\n      return ${u.texture2D}(${t}, uv);\n    }`;return new i.GlslLibRoutine(m)}getUnpackedSamplerScalar(e,t,n){const[r,o]=[n.width,n.height];if(1===r&&1===o){const n=`\n          float ${e}() {\n            return sampleTexture(${t}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const a=`\n        float ${e}() {\n          int offset_${t} = coordsToOffset(TexCoords, ${r}, ${o});\n          vec2 uv = uvFromFlat(${r}, ${o}, offset_${t});\n          return sampleTexture(${t}, uv);\n        }\n      `;return new i.GlslLibRoutine(a,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(e,t,n){const r=n.width,o=n.height;if(1===o&&1===r){const n=`\n        float ${e}(int index) {\n          return sampleTexture(${t}, halfCR);\n        }\n      `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===o){const n=`\n          float ${e}(int index) {\n            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===r){const n=`\n          float ${e}(int index) {\n            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${o}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const a=`\n        float ${e}(int index) {\n          vec2 uv = uvFromFlat(${r}, ${o}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `;return new i.GlslLibRoutine(a,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler2D(e,t,n){const o=n.unpackedShape,u=[n.height,n.width];if(null!=u&&r.ArrayUtil.arraysEqual(o,u)){const n=`\n          float ${e}(int row, int col) {\n            vec2 uv = (vec2(row, col) + halfCR) / vec2(${u[1]}.0, ${u[0]}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const{newShape:c,keptDims:l}=(0,a.squeezeShape)(o),d=c;if(d.length<o.length){const r=(0,s.squeezeInputShape)(o,d),a=JSON.parse(JSON.stringify(n));a.unpackedShape=r;const u=["col","row"],c=`\n          ${this.getUnpackedSamplerFromInput(e,t,a).routineBody}\n          float ${e}(int row, int col) {\n            return ${e}(${(0,s.getSqueezedParams)(u,l)});\n          }\n        `;return new i.GlslLibRoutine(c,["coordinates.sampleTexture"])}const p=u[1],f=u[0];if(1===f){const n=`\n          float ${e}(int row, int col) {\n            int offset_${t} = coordsToOffset(TexCoords, ${p}, ${f});\n            float index = dot(vec3(row, col, offset_${t}), vec3(${o[1]}, 1, 1));\n            vec2 uv = vec2(0.5, (index + 0.5) / ${p}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(1===p){const n=`\n          float ${e}(int row, int col) {\n            int offset_${t} = coordsToOffset(TexCoords, ${p}, ${f});\n            float index = dot(vec3(row, col, offset_${t}), vec3(${o[1]}, 1, 1));\n            vec2 uv = vec2((index + 0.5) / ${f}.0, 0.5);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}const h=`\n        float ${e}(int row, int col) {\n          int index = col * ${o[1]} + row;\n          vec2 uv = uvFromFlat(${p}, ${f}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `;return new i.GlslLibRoutine(h,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler3D(e,t,n){const r=n.unpackedShape,o=r[1]*r[2],u=r[2],{newShape:c,keptDims:l}=(0,a.squeezeShape)(r),d=c;if(d.length<r.length){const o=(0,s.squeezeInputShape)(r,d),a=["batch","col","row"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=this.getUnpackedSamplerFromInput(e,t,u),p=l.reverse(),f=`\n          ${c.routineBody}\n          float ${e}(int batch, int row, int col) {\n            return ${e}(${(0,s.getSqueezedParams)(a,p)});\n          }\n        `;return new i.GlslLibRoutine(f,c.dependencies)}const p=`\n          float ${e}(int depth, int row, int col) {\n            // Explicitly use integer operations as dot() only works on floats.\n            int index = depth * ${o} + col * ${u} + row;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${t}, uv);\n          }\n      `;return new i.GlslLibRoutine(p,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(e,t,n){const r=n.unpackedShape,o=r[3],a=r[2]*o,s=`\n        float ${e}(int row, int col, int depth, int depth2) {\n          int index = row * ${r[1]*a} + col * ${a} +\n              depth2 * ${o} + depth;\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `;return new i.GlslLibRoutine(s,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(e,t,n){const r=n.unpackedShape,o=r[4],u=r[3]*o,c=r[2]*u,l=r[1]*c,{newShape:d,keptDims:p}=(0,a.squeezeShape)(r);if(d.length<r.length){const o=(0,s.squeezeInputShape)(r,d),a=["row","col","depth","depth2","depth3"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=`\n          ${this.getUnpackedSamplerFromInput(e,t,u).routineBody}\n          float ${e}(int row, int col, int depth, int depth2, int depth3) {\n            return ${e}(${(0,s.getSqueezedParams)(a,p)});\n          }\n        `;return new i.GlslLibRoutine(c,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const f=`\n        float ${e}(int row, int col, int depth, int depth2, int depth3) {\n          int index = row * ${l} + col * ${c} + depth * ${u} +\n          depth3 * ${o} + depth2;\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `;return new i.GlslLibRoutine(f,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(e,t,n){const r=n.unpackedShape,o=r[5],u=r[4]*o,c=r[3]*u,l=r[2]*c,d=r[1]*l,{newShape:p,keptDims:f}=(0,a.squeezeShape)(r);if(p.length<r.length){const o=(0,s.squeezeInputShape)(r,p),a=["row","col","depth","depth2","depth3","depth4"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=`\n            ${this.getUnpackedSamplerFromInput(e,t,u).routineBody}\n            float ${e}(int row, int col, int depth,\n              int depth2, int depth3, int depth4) {\n              return ${e}(${(0,s.getSqueezedParams)(a,f)});\n            }\n          `;return new i.GlslLibRoutine(c,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const h=`\n          float ${e}(int row, int col, int depth,\n            int depth2, int depth3, int depth4) {\n            int index = row * ${d} + col * ${l} + depth * ${c} +\n            depth2 * ${u} + depth3 * ${o} + depth4;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new i.GlslLibRoutine(h,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}toVec(){const e=this.context.outputTextureLayout,t=e.shape.length,n=e.strides,r=e.width,o=e.height,a=[];for(let e=0;e<t-1;++e)a.push(`\n        c[${e}] = offset / ${n[e]};`),a.push(`\n        offset -= c[${e}] * ${n[e]};`);a.push(`\n        c[${t-1}] = offset;`);const s=`\n      void toVec(vec2 texCoords, out int c[${t}]) {\n        int offset = coordsToOffset(texCoords, ${r}, ${o});\n        ${a.join("")}\n      }\n      void toVec(int offset, out int c[${t}]) {\n        ${a.join("")}\n      }\n    `;return{toVec:new i.GlslLibRoutine(s,["coordinates.coordsToOffset"])}}valueFrom(){const e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{const r=this.context.inputTextureLayouts[n],o=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length;let a=`_${t}`;e[a]=new i.GlslLibRoutine(this.getValueFromSingle(t,o,r.width,r.height,!1),[`shapeUtils.indicesToOffset${a}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),a+="_T",e[a]=new i.GlslLibRoutine(this.getValueFromSingle(t,o,r.width,r.height,!0),[`shapeUtils.indicesToOffset${a}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])})),e}getValueFromSingle(e,t,n,r,i){let a=`_${e}`;return i&&(a+="_T"),`\n        float ${a}(int m[${t}]) {\n          int offset = indicesToOffset${a}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          float value = getColorAsFloat(${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${e}, coords));\n          return value;\n        }\n        `}getPackedValueFrom(e,t,n,r,i){let a=`_${e}_Pack`;return i&&(a+="_T"),`\n        vec4 ${a}(int m[${t}]) {\n          int offset = indicesToOffset_${e}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${e}, coords);\n        }\n        `}}t.CoordsGlslLib=u},1997:(e,t)=>{"use strict";var n;Object.defineProperty(t,"__esModule",{value:!0}),t.TopologicalSortGlslRoutines=t.GlslLibRoutineNode=t.GlslLibRoutine=t.GlslLib=t.GlslContext=t.FunctionType=void 0,(n=t.FunctionType||(t.FunctionType={}))[n.ValueBased=0]="ValueBased",n[n.Positional=1]="Positional",t.GlslContext=class{constructor(e,t,n,r){this.glContext=e,this.programInfo=t,this.inputTextureLayouts=n,this.outputTextureLayout=r}},t.GlslLib=class{constructor(e){this.context=e}},t.GlslLibRoutine=class{constructor(e,t){this.routineBody=e,this.dependencies=t}},t.GlslLibRoutineNode=class{constructor(e,t,n){this.name=e,this.dependencies=n||[],t&&(this.routineBody=t)}addDependency(e){e&&this.dependencies.push(e)}},t.TopologicalSortGlslRoutines=class{static returnOrderedNodes(e){if(!e||0===e.length)return[];if(1===e.length)return e;const t=new Set,n=new Set,r=new Array;return this.createOrderedNodes(e,t,n,r),r}static createOrderedNodes(e,t,n,r){for(let i=0;i<e.length;++i)this.dfsTraverse(e[i],t,n,r)}static dfsTraverse(e,t,n,r){if(!e||n.has(e.name))return;if(t.has(e.name))throw new Error("Cyclic dependency detected. Can't topologically sort routines needed for shader.");t.add(e.name);const i=e.dependencies;if(i&&i.length>0)for(let e=0;e<i.length;++e)this.dfsTraverse(i[e],t,n,r);r.push(e),n.add(e.name),t.delete(e.name)}}},1371:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.EncodingGlslLib=void 0;const r=n(1997);class i extends r.GlslLib{constructor(e){super(e)}getFunctions(){return Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new r.GlslLibRoutine("highp vec4 encode(highp float f) {\n        return vec4(f, 0.0, 0.0, 0.0);\n      }\n        ")}}decodeFloat32(){return{decode:new r.GlslLibRoutine("highp float decode(highp vec4 rgba) {\n        return rgba.r;\n      }\n        ")}}encodeUint8(){const e=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new r.GlslLibRoutine(`\n      highp vec4 encode(highp float f) {\n        highp float F = abs(f);\n        highp float Sign = step(0.0,-f);\n        highp float Exponent = floor(log2(F));\n        highp float Mantissa = (exp2(- Exponent) * F);\n        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));\n        highp vec4 rgba;\n        rgba[0] = 128.0 * Sign  + floor(Exponent*exp2(-1.0));\n        rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);\n        rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));\n        rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));\n        ${e}\n        rgba = rgba / 255.0; // values need to be normalized to [0,1]\n        return rgba;\n    }\n        `)}}decodeUint8(){const e=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new r.GlslLibRoutine(`\n        highp float decode(highp vec4 rgba) {\n          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]\n          ${e}\n          highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;\n          highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0;\n          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);\n          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));\n          return Result;\n      }\n        `)}}static isLittleEndian(){const e=new ArrayBuffer(4),t=new Uint32Array(e),n=new Uint8Array(e);if(t[0]=3735928559,239===n[0])return!0;if(222===n[0])return!1;throw new Error("unknown endianness")}}t.EncodingGlslLib=i},2691:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.FragColorGlslLib=void 0;const r=n(1997),i=n(6757);class o extends r.GlslLib{constructor(e){super(e)}getFunctions(){return Object.assign(Object.assign({},this.setFragColor()),this.getColorAsFloat())}getCustomTypes(){return{}}setFragColor(){const e=(0,i.getGlsl)(this.context.glContext.version);return{setFragColor:new r.GlslLibRoutine(`\n        void setFragColor(float value) {\n            ${e.output} = encode(value);\n        }\n        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new r.GlslLibRoutine("\n        float getColorAsFloat(vec4 color) {\n            return decode(color);\n        }\n        ",["encoding.decode"])}}}t.FragColorGlslLib=o},3878:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.replaceInlines=void 0;const n=/@inline[\s\n\r]+(\w+)[\s\n\r]+([0-9a-zA-Z_]+)\s*\(([^)]*)\)\s*{(([^}]|[\n\r])*)}/gm;t.replaceInlines=function(e){const t={};let r;for(;null!==(r=n.exec(e));){const e=r[3].split(",").map((e=>{const t=e.trim().split(" ");return t&&2===t.length?{type:t[0],name:t[1]}:null})).filter((e=>null!==e));t[r[2]]={params:e,body:r[4]}}for(const n in t){const i="(\\w+)?\\s+([_0-9a-zA-Z]+)\\s+=\\s+__FUNC__\\((.*)\\)\\s*;".replace("__FUNC__",n),o=new RegExp(i,"gm");for(;null!==(r=o.exec(e));){const i=r[1],o=r[2],a=r[3].split(","),s=i?`${i} ${o};`:"";let u=t[n].body,c="";t[n].params.forEach(((e,t)=>{e&&(c+=`${e.type} ${e.name} = ${a[t]};\n`)})),u=`${c}\n 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e=this.context.programInfo;let t=e.shaderSource;return this.context.programInfo.hasMain||(t=`${t}\n      ${(0,a.getDefaultFragShaderMain)(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),t=(0,i.replaceInlines)(t),`${(0,a.getFragShaderPreamble)(this.context.glContext.version)}\n    ${this.getUniforms(e.inputNames,e.variables)}\n    ${this.getImports(t)}\n    ${t}`}getImports(e){const t=this.selectGlslLibRoutinesToBeIncluded(e);if(0===t.length)return"";let n="";for(let e=0;e<t.length;++e){if(!t[e].routineBody)throw new Error(`Missing body for the Glsl Library routine: ${t[e].name}`);n+=t[e].routineBody+"\n"}return n}selectGlslLibRoutinesToBeIncluded(e){const t=[];return Object.keys(this.glslLibRoutineDependencyGraph).forEach((n=>{const r=n.split(".")[1];-1!==e.indexOf(r)&&t.push(this.glslLibRoutineDependencyGraph[n])})),r.TopologicalSortGlslRoutines.returnOrderedNodes(t)}getUniforms(e,t){const n=[];if(e)for(const t of e)n.push(`uniform sampler2D 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o=this.context.inputTextureLayouts[i].unpackedShape;if(o.length<=e){const i=o.length,a=e-i,s=`bcastIndices_${n}`;let u="";for(let e=0;e<i;++e)u+=`\n          realIndices[${e}] = int( mod(float(bcastedIndices[${a+e}]), ${o[e]}.0) );\n          `;const c=`\n        void ${s} (int bcastedIndices[${e}], out int realIndices[${i}]) {\n          ${u}\n        }\n        `;t[s]=new r.GlslLibRoutine(c)}})),t}bcastMatmulIndex(){const e=this.context.outputTextureLayout.shape.length,t={};return this.context.programInfo.inputNames.forEach(((n,i)=>{const o=this.context.inputTextureLayouts[i].shape;if(!(o.length<2||o.length>e)){const i=o.length,a=e-i,s=`bcastMatmulIndices_${n}`;let u="";for(let e=0;e<i-2;++e)u+=`\n          realIndices[${e}] = int( mod(float(bcastedIndices[${a+e}]), ${o[e]}.0) );\n          `;const c=`\n        void ${s}(int bcastedIndices[${e}], out int realIndices[${i}]) {\n          ${u}\n          realIndices[${i-1}] = bcastedIndices[${e-1}];\n          realIndices[${i-2}] = bcastedIndices[${e-2}];\n        }\n        `;t[s]=new r.GlslLibRoutine(c)}})),t}indicesToOffset(){const e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{const o=this.context.inputTextureLayouts[n].shape,a=this.context.inputTextureLayouts[n].strides,s=o.length;let u=`indicesToOffset_${t}`;e[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,s,a)),u=`indicesToOffset_${t}_T`,e[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,s,a.slice().reverse()))})),e}static indexToOffsetSingle(e,t,n){let r="";for(let e=t-1;e>=0;--e)r+=`\n        offset += indices[${e}] * ${n[e]};\n        `;return`\n      int ${e}(int indices[${t}]) {\n        int offset = 0;\n        ${r}\n        return offset;\n      }\n      `}offsetToIndices(){const e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{const o=this.context.inputTextureLayouts[n].shape,a=this.context.inputTextureLayouts[n].strides,s=o.length;let u=`offsetToIndices_${t}`;e[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,s,a)),u=`offsetToIndices_${t}_T`,e[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,s,a.slice().reverse()))})),e}static offsetToIndicesSingle(e,t,n){const r=[];for(let e=0;e<t-1;++e)r.push(`\n      indices[${e}] = offset / ${n[e]};`),r.push(`\n        offset -= indices[${e}] * ${n[e]};`);return r.push(`\n      indices[${t-1}] = offset;`),`\n      void ${e}(int offset, out int indices[${t}]) {\n        ${r.join("")}\n      }\n      `}incrementIndices(){const e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{const i=this.context.inputTextureLayouts[n].shape,o=i.length,a=`incrementIndices_${t}`;let s="";for(let e=0;e<o;++e)s+=`\n        shape[${e}] = ${i[e]};`;const u=`\n        void ${a}(int axis, out int indices[${o}]) {\n          int shape[${o}];\n          ${s};\n          for(int i = ${o} -1 ; i >= 0; --i) {\n            if(i > axis) continue;\n            indices[i] += 1;\n            if(indices[i] < shape[i]) {\n              break;\n            }\n            indices[i] = 0;\n          }\n        }\n        `;e[a]=new r.GlslLibRoutine(u)})),e}}t.ShapeUtilsGlslLib=i},6757:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.getDefaultFragShaderMain=t.getFragShaderPreamble=t.getVertexShaderSource=t.getGlsl=void 0;const n={version:"",attribute:"attribute",varyingVertex:"varying",varyingFrag:"varying",texture2D:"texture2D",output:"gl_FragColor",outputDeclaration:""},r={version:"#version 300 es",attribute:"in",varyingVertex:"out",varyingFrag:"in",texture2D:"texture",output:"outputColor",outputDeclaration:"out vec4 outputColor;"};function i(e){return 1===e?n:r}t.getGlsl=i,t.getVertexShaderSource=function(e){const t=i(e);return`${t.version}\n      precision highp float;\n      ${t.attribute} vec3 position;\n      ${t.attribute} vec2 textureCoord;\n\n      ${t.varyingVertex} vec2 TexCoords;\n\n      void main()\n      {\n          gl_Position = vec4(position, 1.0);\n          TexCoords = textureCoord;\n      }`},t.getFragShaderPreamble=function(e){const t=i(e);return`${t.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${t.varyingFrag} vec2 TexCoords;\n    ${t.outputDeclaration}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    // Custom vector types to handle higher dimenalities.\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    `},t.getDefaultFragShaderMain=function(e,t){return`\n  void main() {\n    int indices[${t}];\n    toVec(TexCoords, indices);\n    vec4 result = vec4(process(indices));\n    ${i(e).output} = result;\n  }\n  `}},9314:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.VecGlslLib=void 0;const r=n(1997);class i extends r.GlslLib{constructor(e){super(e)}getCustomTypes(){return{}}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign({},this.binaryVecFunctions()),this.copyVec()),this.setVecItem()),this.getVecItem())}binaryVecFunctions(){const e=this.context.outputTextureLayout.shape.length,t={add:"+=",sub:"-=",mul:"*=",div:"/="},n={};for(const i in t){const o=`${i}Vec`;let a="";for(let n=0;n<e;++n)a+=`\n          dest[${n}] ${t[i]} src[${n}];\n          `;const s=`\n        void ${o}(int src[${e}], out int dest[${e}]) {\n          ${a}\n        }\n        `;n[o]=new r.GlslLibRoutine(s)}return n}copyVec(){const e=this.context.outputTextureLayout.shape.length;let t="";for(let n=0;n<e;++n)t+=`\n        dest[${n}] = src[${n}];\n        `;const n=`\n      void copyVec(int src[${e}], out int dest[${e}]) {\n        ${t}\n      }\n      `;return{copyVec:new r.GlslLibRoutine(n)}}setVecItem(){const e=this.context.outputTextureLayout.shape.length;let t=`\n        if(index < 0)\n            index =${e} + index;\n        if (index == 0)\n            m[0] = value;\n        `;for(let n=1;n<e-1;++n)t+=`\n        else if (index == ${n})\n            m[${n}] = value;\n            `;t+=`\n        else\n            m[${e-1}] = value;\n        `;const n=`\n      void setVecItem(out int m[${e}], int index, int value) {\n        ${t}\n      }\n        `;return{setVecItem:new r.GlslLibRoutine(n)}}getVecItem(){const e=this.context.outputTextureLayout.shape.length;let t=`\n        if(index < 0)\n            index = ${e} + index;\n        if (index == 0)\n            return m[0];\n      `;for(let n=1;n<e-1;++n)t+=`\n        else if (index == ${n})\n            return m[${n}];\n      `;t+=`\n        else\n            return m[${e-1}];\n        `;const n=`\n      int getVecItem(int m[${e}], int index) {\n        ${t}\n      }\n    `;return{getVecItem:new r.GlslLibRoutine(n)}}}t.VecGlslLib=i},7860:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.WebGLInferenceHandler=void 0;const r=n(1315),i=n(9240),o=n(7273),a=n(9),s=n(7379),u=n(2488),c=n(540),l=n(3314),d=n(5639);t.WebGLInferenceHandler=class{constructor(e){this.session=e,this.packedTextureDataCache=new Map,this.unpackedTextureDataCache=new Map}calculateTextureWidthAndHeight(e,t){return(0,l.calculateTextureWidthAndHeight)(this.session.layoutStrategy,e,t)}executeProgram(e,t){if(t.length<e.inputNames.length)throw new Error(`Input size mustn't be less than ${e.inputNames.length}.`);if(e.inputNames.length!==e.inputTypes.length)throw new Error("input names size does not match input types");const n=[];for(let r=0;r<e.inputNames.length;++r)n[r]=this.getOrCreateTextureData(t[r],e.inputTypes[r]);const r=((e,t)=>{const n=t.map((e=>`${e.unpackedShape.join(",")};${e.width}x${e.height}`)).join("_");let r=e.name;return e.cacheHint&&(r+="["+e.cacheHint+"]"),r+=":"+n,r})(e,n);let i=this.session.programManager.getArtifact(r);const 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r=(0,l.createTextureLayoutFromTextureType)(this.session.layoutStrategy,e.dims,t);if(t===d.TextureType.packedLastDimension){const n=1,r=4,i=e.dims;if(4===i.length){const o=[i[0],Math.ceil(i[1]*i[2]*i[3]/r)],a=(0,l.createTextureLayoutFromTextureType)(this.session.layoutStrategy,o,t);let s=e.numberData;if(i[1]*i[2]*i[3]%r!=0){const t=i[0],o=i[1]*i[2]*i[3],a=Math.ceil(o*n/r)*r;s=new Float32Array(t*a);for(let r=0;r<t;++r){const t=r*o,i=r*a+r%n*o;s.set(e.numberData.subarray(t,t+o),i)}}return this.createTextureData(a,e.type,s,e,1)}}if(t===d.TextureType.packed){const t=(0,l.createTextureLayoutFromShape)(this.session.layoutStrategy,e.dims,1,[],{reverseWH:!0}),r=this.createTextureData(t,e.type,e.numberData,e,1);n=this.pack(r)}else n=this.createTextureData(r,e.type,e.numberData,e,1)}return n}createTextureDataFromLayoutBindTensor(e,t,n,r){return this.createTextureData(e,t,n,r,1)}createTextureData(e,t,n,i,o){r.Logger.verbose("InferenceHandler",`Creating TextureData: layout:[${JSON.stringify(e)}]`);const a=this.session.textureManager.createTextureFromLayout(t,e,n,o);return this.createTextureDataFromTexture(e,t,a,i)}reshapeUnpacked(e,t){const n=this.getOrCreateTextureData(e,d.TextureType.unpacked),r={channels:n.channels,height:n.height,width:n.width,shape:0!==t.length?t:[1],strides:o.ShapeUtil.computeStrides(t),unpackedShape:t};return this.createTextureDataFromTexture(r,e.type,n.texture).tensor}reshapePacked(e,t){const n=this.getOrCreateTextureData(e,d.TextureType.packed);if((0,s.isReshapeCheap)(e.dims,t)){const r={channels:n.channels,height:n.height,width:n.width,shape:0!==t.length?t:[1],strides:o.ShapeUtil.computeStrides(t),unpackedShape:t,isPacked:!0};return this.createTextureDataFromTexture(r,e.type,n.texture).tensor}const r=(0,s.processDims3D)(e.dims),i=(0,s.processDims3D)(t),a=this.reshapePacked(e,r),u=this.run((0,s.createPackedReshape3DProgramInfoLoader)(this,a,i),[a]);return this.reshapePacked(u,t)}cast(e,t){const n=this.getOrCreateTextureData(e,d.TextureType.unpacked);return this.createTextureDataFromTexture(n,t,n.texture).tensor}createTextureDataFromTexture(e,t,n,r,o){const a=Object.assign(Object.assign({},e),{tensor:r||new i.Tensor(e.unpackedShape,t,(e=>this.readTexture(a)),(async e=>this.readTextureAsync(a)),void 0,o),texture:n});return this.setTextureData(a.tensor.dataId,a,e.isPacked),a}getTextureData(e,t=!1){return this.session.isInitializer(e)?this.session.getTextureData(e,t):t?this.packedTextureDataCache.get(e):this.unpackedTextureDataCache.get(e)}setTextureData(e,t,n=!1){this.session.isInitializer(e)?this.session.setTextureData(e,t,n):(n?this.packedTextureDataCache:this.unpackedTextureDataCache).set(e,t)}isTextureLayoutCached(e,t=!1){return!!this.getTextureData(e.dataId,t)}dispose(){this.session.textureManager.clearActiveTextures(),this.packedTextureDataCache.forEach((e=>this.session.textureManager.releaseTexture(e))),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache.forEach((e=>this.session.textureManager.releaseTexture(e))),this.unpackedTextureDataCache=new Map}readTexture(e){return e.isPacked?this.readTexture(this.unpack(e)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTexture(e,e.tensor.type,e.channels):this.session.textureManager.readUint8TextureAsFloat((0,u.encodeAsUint8)(this,e))}async readTextureAsync(e){return e.isPacked?this.readTextureAsync(this.unpack(e)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTextureAsync(e,e.tensor.type,e.channels):this.session.textureManager.readUint8TextureAsFloat((0,u.encodeAsUint8)(this,e))}pack(e){return this.executeProgram((0,a.createPackProgramInfoLoader)(this,e.tensor),[e.tensor])}unpack(e){return this.executeProgram((0,c.createUnpackProgramInfoLoader)(this,e.tensor),[e.tensor])}}},4110:function(e,t,n){"use strict";var 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float scale = getColorAsFloat(${r.texture2D}(Scale, position));\n    float mean = getColorAsFloat(${r.texture2D}(Mean, position));\n    float variance = getColorAsFloat(${r.texture2D}(Variance, position));\n    float b = getColorAsFloat(${r.texture2D}(B, position));\n\n    return scale * ( (_A(indices) - mean) / sqrt(variance + float(${n.epsilon})) ) + b;\n  }`;return Object.assign(Object.assign({},a),{output:{dims:t[0].dims,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:l})},u=e=>{if(!e||5!==e.length)throw new Error("BatchNormalization requires 5 inputs.");const t=e[0],n=e[1],r=e[2],i=e[3],o=e[4];if(t.dims.length<3||1!==n.dims.length||1!==r.dims.length||1!==i.dims.length||1!==o.dims.length)throw new Error("invalid input shape.");if(n.dims[0]!==t.dims[1]||r.dims[0]!==t.dims[1]||i.dims[0]!==t.dims[1]||o.dims[0]!==t.dims[1])throw new Error("invalid input 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`,name:e,type:i.FunctionType.ValueBased}}function c(){const e="mul_";return{body:`\n  float ${e}(float a, float b) {\n    return a * b;\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return v1 * v2;\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function l(){const e="sub_";return{body:`\n  float ${e}(float a, float b) {\n    return a - b;\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return v1 - v2;\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function d(){const e="equal_";return{body:`\n  float ${e}(float a, float b) {\n    return float(a == b);\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return vec4(equal(v1, v2));\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function p(){const e="greater_";return{body:`\n  float ${e}(float a, float b) {\n    return float(a > b);\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return vec4( v1.r > v2.r ,\n      v1.g > v2.g,\n      v1.b > v2.b,\n      v1.a > v2.a );\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function f(){const e="less_";return{body:`\n  float ${e}(float a, float b) {\n    return float(a < b);\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return vec4( v1.r < v2.r ,\n                v1.g < v2.g,\n                v1.b < v2.b,\n                v1.a < v2.a );\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function h(){const e="and_";return{body:`\n  float ${e}(float a, float b) {\n    return float( bool(a) && bool(b) );\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    bvec4 b1 = bvec4(v1);\n    bvec4 b2 = bvec4(v2);\n    return vec4( b1.r && b2.r ,\n                b1.g && b2.g,\n                b1.b && b2.b,\n                b1.a && b2.a );\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function g(){const e="or_";return{body:`\n  float ${e}(float a, float b) {\n    return float( bool(a) || bool(b) );\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    bvec4 b1 = bvec4(v1);\n    bvec4 b2 = bvec4(v2);\n    return vec4( b1.r || b2.r ,\n                b1.g || b2.g,\n                b1.b || b2.b,\n                b1.a || b2.a );\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function m(){const e="xor_";return{body:`\n  float ${e}(float a, float b) {\n    return float( bool(a) ^^ bool(b) );\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    bvec4 b1 = bvec4(v1);\n    bvec4 b2 = bvec4(v2);\n    return vec4( b1.r ^^ b2.r ,\n                b1.g ^^ b2.g,\n                b1.b ^^ b2.b,\n                b1.a ^^ b2.a );\n  }\n  `,name:e,type:i.FunctionType.ValueBased}}function b(){return function(e){const t=`${e}_`;return{body:`\n  float ${t}(float a, float b) {\n    return ${e}(a, b);\n  }\n  vec4 ${t}(vec4 v1, vec4 v2) {\n    return ${e}(v1, v2);\n  }\n  `,name:t,type:i.FunctionType.ValueBased}}("pow")}function y(){const e="prelu_";return{body:`\n  float ${e}(float a, float b) {\n    return a < 0.0 ? a * b: a;\n  }\n  vec4 ${e}(vec4 v1, vec4 v2) {\n    return vec4(\n      v1.r < 0.0 ? v1.r * v2.r: v1.r,\n      v1.g < 0.0 ? v1.g * v2.g: v1.g,\n      v1.b < 0.0 ? v1.b * v2.b: v1.b,\n      v1.a < 0.0 ? v1.a 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r=n(4910),i=n(5639),o=n(4595);t.concat=(e,t,n)=>(d(t),e.session.pack&&t[0].dims.length>1?[e.run((0,o.createPackedConcatProgramInfoLoader)(e,t,n),t)]:[e.run(a(e,t,n),t)]);const a=(e,t,n)=>{const r=(o=t.length,a=n.cacheKey,{name:"Concat",inputNames:Array.from({length:o},((e,t)=>`X${t}`)),inputTypes:Array(o).fill(i.TextureType.unpacked),cacheHint:a});var o,a;return Object.assign(Object.assign({},r),{get:()=>((e,t,n,r)=>{const o=n[0].dims.slice();if(r>=o.length||r<-1*o.length)throw new Error("axis specified for concat doesn't match input dimensionality");r<0&&(r=o.length+r);const a=o.slice(0);for(let e=1;e<n.length;e++){const t=n[e].dims.slice();for(let e=0;e<o.length;e++)if(e===r)a[r]+=t[e];else if(o[e]!==t[e])throw new Error("non concat dimensions must match")}const d=a.length,p=new Array(n.length);let f=0;for(let e=0;e<p.length;++e)f+=n[e].dims[r],p[e]=f;let h="";h=n.length<5?s(p):u(p);const g=`\n        ${c(n.length,d)}\n        ${l(p)}\n        ${h}\n        float process(int 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getSizeInConcatAxisValueFromIndex(int index) {"];for(let n=0;n<e.length;++n)0===n?t.push(`\tif (index == ${n}) { return ${e[n]}; }`):n===e.length-1?t.push(`\telse { return ${e[n]}; }`):t.push(`\telse if (index == ${n}) { return ${e[n]}; }`);return t.push("\t}"),t.join("\n")};t.parseConcatAttributes=e=>(0,r.createAttributeWithCacheKey)({axis:e.attributes.getInt("axis")});const d=e=>{if(!e||e.length<1)throw new Error("too few inputs");const t=e[0].type,n=e[0].dims.length;if("string"===t)throw new Error("string tensor is not supported yet");for(const r of e){if(r.type!==t)throw new Error("input tensors should be one type");if(r.dims.length!==n)throw new Error("input tensors should have the same shape")}}},7825:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createUnpackedGroupedConvProgramInfoLoader=void 0;const r=n(1315),i=n(6757),o=n(5639),a=n(9754),s=n(2150);t.createUnpackedGroupedConvProgramInfoLoader=(e,t,n)=>{const u=(c=t.length>2,l=n.cacheKey,{name:"GroupedConv",inputNames:c?["X","W","Bias"]:["X","W"],inputTypes:c?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],cacheHint:l});var c,l;return Object.assign(Object.assign({},u),{get:()=>((e,t,n,u)=>{const c=t.length>2?"value += getBias(output_channel);":"",l=t[0].dims.slice(),d=t[1].dims.slice(),p=d[0]/u.group;r.Logger.verbose("GroupedConv",`autpPad:${u.autoPad}, dilations:${u.dilations}, group:${u.group}, kernelShape:${u.kernelShape}, pads:${u.pads}, strides:${u.strides}`);const f=(0,a.calculateOutputShape)(l,d,u.dilations,u.pads,u.strides),h=(0,i.getGlsl)(e.session.backend.glContext.version),{activationFunction:g,applyActivation:m}=(0,s.getActivationSnippet)(u),b=`\n  const ivec2 strides = ivec2(${u.strides[0]}, ${u.strides[1]});\n  const ivec2 pads = ivec2(${u.pads[0]}, ${u.pads[1]});\n  ${g}\n  void main() {\n    ivec4 coords = getOutputCoords();\n    int batch = coords.x;\n    int output_channel = coords.y;\n    ivec2 xRCCorner = coords.zw * strides - pads;\n    int group_id = output_channel / ${p};\n\n    float value = 0.0;\n    for (int wInChannel = 0; wInChannel < ${d[1]}; wInChannel++) {\n      int input_channel = group_id * ${d[1]} + wInChannel;\n      for (int wHeight = 0; wHeight < ${d[2]}; wHeight++) {\n        int xHeight = xRCCorner.x + wHeight * ${u.dilations[0]};\n\n        if (xHeight < 0 || xHeight >= ${l[2]}) {\n          continue;\n        }\n\n        for (int wWidth = 0; wWidth < ${d[3]}; wWidth++) {\n          int xWidth = xRCCorner.y + wWidth * ${u.dilations[1]};\n          if (xWidth < 0 || xWidth >= ${l[3]}) {\n            continue;\n          }\n\n          float xVal = getX(batch, input_channel, xWidth, xHeight);\n          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);\n          value += xVal*wVal;\n        }\n      }\n    }\n    ${c}\n    ${m}\n    ${h.output} = vec4(value, .0, .0, .0);\n  }\n`;return Object.assign(Object.assign({},n),{output:{dims:f,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:b,hasMain:!0})})(e,t,u,n)})}},7708:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.conv2DPacked=t.conv2DPackedPointwise=void 0;const r=n(9754),i=n(5950),o=n(5632);t.conv2DPackedPointwise=(e,t,n)=>{const i=t[0].dims,a=t[1].dims,s=(0,r.calculateOutputShape)(i,a,n.dilations,n.pads,n.strides),u=e.reshapePacked(t[0],[i[1],i[2]*i[3]]),c=e.reshapePacked(t[1],[a[0],a[1]]),l=t.length>2?[c,u,t[2]]:[c,u],d=e.run((0,o.createPackedMatmulProgramInfoLoader)(e,l,n),l);return e.reshapePacked(d,s)},t.conv2DPacked=(e,t,n)=>{const a=t[0].dims,s=t[1].dims,u=(0,r.calculateOutputShape)(a,s,n.dilations,n.pads,n.strides),c=e.run((0,i.createPackedIm2ColProgramInfoLoader)(e,t[0],t[1],u,n),[t[0]]),l=e.reshapePacked(t[1],[s[0],s[1]*s[2]*s[3]]),d=3===t.length?[l,c,t[2]]:[l,c],p=e.run((0,o.createPackedMatmulProgramInfoLoader)(e,d,n),d);return e.reshapePacked(p,u)}},5042:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseConvTransposeAttributes=t.convTranspose=void 0;const r=n(4910),i=n(6757),o=n(5639),a=n(2150),s=(e,t,n,r,i,o)=>(e-1)*t+n+(r-1)*i+1-o,u=(e,t,n,r,i)=>{const o=Math.floor(e/2);"SAME_UPPER"===t?(n[r]=o,n[i]=e-o):"SAME_LOWER"===t&&(n[r]=e-o,n[i]=o)};t.convTranspose=(e,t,n)=>(p(t,n),c(e,t,n));const c=(e,t,n)=>{const r=d(n,t);return[l(e,t,r)]},l=(e,t,n)=>e.run(((e,t,n)=>{const r=(s=t.length>2,u=n.cacheKey,{name:"ConvTranspose",inputNames:s?["X","W","B"]:["X","W"],inputTypes:s?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],cacheHint:u});var s,u;return Object.assign(Object.assign({},r),{get:()=>((e,t,n,r)=>{const s=t.length>2?"getB(output_channel)":"0.0",u=t[0].dims,c=t[1].dims,l=c[1],d=c[0]/r.group,p=[t[0].dims[0],t[1].dims[1]*r.group,...r.outputShape],f=(0,i.getGlsl)(e.session.backend.glContext.version),{activationFunction:h,applyActivation:g}=(0,a.getActivationSnippet)(r),m=`\n  const ivec2 strides = ivec2(${r.strides[0]}, ${r.strides[1]});\n  const ivec2 pads = ivec2(${r.pads[0]}, ${r.pads[1]});\n  ${h}\n  void main() {\n    ivec4 coords = getOutputCoords();\n    int batch = coords.x;\n    int output_channel = coords.y;\n\n    ivec2 loc = coords.zw + pads;\n\n    int group_id = output_channel / ${l};\n    int wOutChannel = output_channel - group_id * ${l};\n\n    float value = ${s};\n    for (int inChannelOffset = 0; inChannelOffset < ${d}; inChannelOffset++) {\n      int input_channel = group_id * ${d} + inChannelOffset;\n      for (int wWOff = 0; wWOff < ${c[2]}; wWOff++) {\n        for (int wHOff = 0; wHOff < ${c[3]}; wHOff++) {\n          ivec2 wOff = ivec2(wWOff * ${r.dilations[0]}, wHOff * ${r.dilations[1]});\n          ivec2 wLoc = loc - wOff;\n          ivec2 wLocIn = wLoc / strides;\n          if (\n            wLocIn * strides == wLoc &&\n            wLocIn.x >= 0 && wLocIn.x < ${u[2]} &&\n            wLocIn.y >= 0 && wLocIn.y < ${u[3]}\n          ) {\n            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);\n            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);\n            value += xVal * wVal;\n          }\n        }\n      }\n    }\n    ${g}\n    ${f.output} = vec4(value, .0, .0, .0);\n  }\n`;return Object.assign(Object.assign({},n),{output:{dims:p,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:m,hasMain:!0})})(e,t,r,n)})})(e,t,n),t),d=(e,t)=>{const n=e.kernelShape.slice();if(0===e.kernelShape.length)for(let e=2;e<t[1].dims.length;++e)n.push(t[1].dims[e]);const r=e.pads.slice(),i=e.outputShape.slice();((e,t,n,r,i,o,a,c)=>{const l=e.length-2,d=0===c.length;for(let p=0;p<l;++p){const f=d?e[p+2]*o[p]:c[p],h=s(e[p+2],o[p],i[p],t[p],n[p],f);u(h,r,i,p,p+l),d&&c.push(o[p]*(e[p+2]-1)+a[p]+(t[p]-1)*n[p]+1-i[p]-i[p+l])}})(t[0].dims,n,e.dilations,e.autoPad,r,e.strides,e.outputPadding,i);const o=Object.assign({},e);return Object.assign(o,{kernelShape:n,pads:r,outputShape:i,cacheKey:e.cacheKey}),o};t.parseConvTransposeAttributes=e=>{const t=e.attributes,n=(0,a.parseInternalActivationAttributes)(t),i=t.getString("auto_pad","NOTSET"),o=t.getInts("dilations",[1,1]),s=t.getInt("group",1),u=t.getInts("kernel_shape",[]),c=t.getInts("output_padding",[0,0]),l=t.getInts("output_shape",[]),d=t.getInts("pads",[0,0,0,0]),p=t.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:s,kernelShape:u,outputPadding:c,outputShape:l,pads:d,strides:p},n))};const p=(e,t)=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==e[0].dims.length||4!==e[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(e[0].dims[1]!==e[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");const n=e[1].dims[1]*t.group;if(3===e.length&&(1!==e[2].dims.length||e[2].dims[0]!==n))throw new Error("invalid bias");const r=e[0].dims.length-2;if(t.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(t.strides.length!==r)throw new Error(`strides should be ${r}D`);if(t.pads.length!==2*r)throw new Error(`pads should be ${2*r}D`);if(t.outputPadding.length!==r)throw new Error(`output_padding should be ${r}D`);if(0!==t.kernelShape.length&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(0!==t.outputShape.length&&t.outputShape.length!==e[0].dims.length-2)throw new Error("invalid output shape");if("float32"!==e[0].type||"float32"!==e[1].type)throw new Error("ConvTranspose input(X,W) should be float tensor");if(3===e.length&&"float32"!==e[2].type)throw new Error("ConvTranspose input(bias) should be float tensor")}},9754:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseConvAttributes=t.conv=t.calculateOutputShape=void 0;const r=n(4910),i=n(7273),o=n(7825),a=n(7708),s=n(3281),u=n(2150),c=n(1625),l=n(8276);t.calculateOutputShape=(e,t,n,r,i)=>{const o=e[0],a=e.slice(2),s=a.length,u=t[0],c=t.slice(2).map(((e,t)=>e+(e-1)*(n[t]-1))),l=a.map(((e,t)=>e+r[t]+r[t+s])).map(((e,t)=>Math.floor((e-c[t]+i[t])/i[t])));return[o,u].concat(...l)},t.conv=(e,t,n)=>(g(t,n),d(e,t,n));const d=(e,t,n)=>{const r=h(n,t),i=e.session.pack,s=1===r.kernelShape[0]&&1===r.kernelShape[1];return r.group>1?[e.run((0,o.createUnpackedGroupedConvProgramInfoLoader)(e,t,r),t)]:s&&i?[p(e,t,r)]:i&&4===t[0].dims.length&&1===t[0].dims[0]&&!s?[(0,a.conv2DPacked)(e,t,r)]:[f(e,t,r)]},p=(e,n,r)=>{const i=n[0].dims,o=n[1].dims,a=(0,t.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),s=e.reshapeUnpacked(n[0],[i[1],i[2]*i[3]]),u=e.reshapeUnpacked(n[1],[o[0],o[1]]),c=n.length>2?[u,s,n[2]]:[u,s],d=e.run((0,l.createMatmulProgramInfoLoader)(c,r),c);return e.reshapeUnpacked(d,a)},f=(e,n,r)=>{const i=n[0].dims,o=n[1].dims,a=(0,t.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),u=e.run((0,c.createIm2ColProgramInfoLoader)(e,n[0],n[1],a,r),[n[0]]),l=3===n.length?[u,n[1],n[2]]:[u,n[1]];return e.run((0,s.createDotProductProgramInfoLoader)(e,n,a,r),l)},h=(e,t)=>{const n=e.kernelShape.slice();if(0===e.kernelShape.length)for(let e=2;e<t[1].dims.length;++e)n.push(t[1].dims[e]);const r=e.pads.slice();i.PoolConvUtil.adjustPadsBasedOnAutoPad(t[0].dims,e.strides,e.dilations,n,r,e.autoPad);const o=Object.assign({},e);return Object.assign(o,{kernelShape:n,pads:r,cacheKey:e.cacheKey}),o};t.parseConvAttributes=e=>{const t=e.attributes,n=(0,u.parseInternalActivationAttributes)(t),i=t.getString("auto_pad","NOTSET"),o=t.getInts("dilations",[1,1]),a=t.getInt("group",1),s=t.getInts("kernel_shape",[]),c=t.getInts("pads",[0,0,0,0]),l=t.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:a,kernelShape:s,pads:c,strides:l},n))};const g=(e,t)=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==e[0].dims.length||4!==e[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(e[0].dims[1]!==e[1].dims[1]*t.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(3===e.length&&(1!==e[2].dims.length||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");const n=e[0].dims.length-2;if(t.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(t.strides.length!==n)throw new Error(`strides should be ${n}D`);if(t.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==t.kernelShape.length&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if("float32"!==e[0].type||"float32"!==e[1].type)throw new Error("Conv input(X,W) should be float tensor");if(3===e.length&&"float32"!==e[2].type)throw new Error("Conv input(bias) should be float tensor")}},6742:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseDepthToSpaceAttributes=t.depthToSpace=void 0;const r=n(5707);t.depthToSpace=(e,t,n)=>{i(t);const o=n.blocksize,a=o*o,s="DCR"===n.mode?[0,3,4,1,5,2]:[0,1,4,2,5,3],u="DCR"===n.mode?[t[0].dims[0],o,o,t[0].dims[1]/a,t[0].dims[2],t[0].dims[3]]:[t[0].dims[0],t[0].dims[1]/a,o,o,t[0].dims[2],t[0].dims[3]],c=e.reshapeUnpacked(t[0],u),l={perm:s,cacheKey:`${s}`},[d]=(0,r.transpose)(e,[c],l),p=[t[0].dims[0],t[0].dims[1]/a,t[0].dims[2]*o,t[0].dims[3]*o];return[e.reshapeUnpacked(d,p)]},t.parseDepthToSpaceAttributes=e=>{const t=e.attributes.getInt("blocksize");if(t<1)throw new Error(`blocksize must be >= 1, but got : ${t} for DepthToSpace`);const n=e.attributes.getString("mode","DCR");if("DCR"!==n&&"CRD"!==n)throw new Error(`unrecognized mode: ${n} for DepthToSpace`);return{mode:n,blocksize:t}};const i=e=>{if(1!==e.length)throw new Error(`DepthToSpace expect 1 inputs, but got ${e.length}`);if("string"===e[0].type||4!==e[0].dims.length)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}},3281:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createDotProductProgramInfoLoader=void 0;const r=n(7273),i=n(6757),o=n(5639),a=n(2150),s=n(1625);t.createDotProductProgramInfoLoader=(e,t,n,u)=>{const c=((e,t)=>({name:"ConvDotProduct",inputNames:e?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:e?[o.TextureType.unpacked,o.TextureType.packedLastDimension,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.packedLastDimension],cacheKey:t.activationCacheKey}))(t.length>2,u);return Object.assign(Object.assign({},c),{get:()=>((e,t,n,u,c)=>{const l=n[0].dims,d=n[1].dims,p=[d[0],Math.ceil(l[1]*d[2]*d[3]/4)],f=(0,s.calculateIm2ColDims)(l,d,u),[h,g]=e.calculateTextureWidthAndHeight(p,o.TextureType.packedLastDimension),m=r.ShapeUtil.computeStrides(f),[b,y]=e.calculateTextureWidthAndHeight(f,o.TextureType.packedLastDimension),_=u.length,v=n.length<3?"0.0":"_B(b)",w=Math.ceil(l[1]*d[2]*d[3]/4),{activationFunction:x,applyActivation:T}=(0,a.getActivationSnippet)(c),S=(0,i.getGlsl)(e.session.backend.glContext.version),O=`\n${x}\nfloat process(int indices[${_}]) {\n  int b[1];\n  b[0] = indices[1];\n  int im2col[4];\n  im2col[0] = indices[0];\n  im2col[1] = indices[2];\n  im2col[2] = indices[3];\n  int im2colOffset = im2col[0] * ${m[0]} + im2col[1] * ${m[1]} + im2col[2] * ${m[2]};\n  int kernelOffset = indices[1] * ${p[1]};\n  float value = ${v};\n  for (int i = 0; i < ${w}; ++i) {\n    vec2 im2colCoords = offsetToCoords(im2colOffset, ${b}, ${y});\n    vec2 kernelCoords = offsetToCoords(kernelOffset, ${h}, ${g});\n    value += dot(${S.texture2D}(Im2Col, im2colCoords), ${S.texture2D}(K, kernelCoords));\n    ++im2colOffset;\n    ++kernelOffset;\n  }\n  ${T}\n  return value;\n}`;return Object.assign(Object.assign({},t),{output:{dims:u,type:n[0].type,textureType:o.TextureType.unpacked},shaderSource:O})})(e,c,t,n,u)})}},4125:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseFlattenAttributes=t.flatten=void 0;const r=n(7273);t.flatten=(e,t,n)=>{i(t,n);const o=r.ShapeUtil.flattenShape(t[0].dims,n);return[e.reshapeUnpacked(t[0],o)]},t.parseFlattenAttributes=e=>e.attributes.getInt("axis",1);const i=(e,t)=>{if(!e||1!==e.length)throw new Error("Flatten requires 1 input.");const n=e[0].dims.length;if(0===n)throw new Error("scalar tensor is not supported.");if(t<-n||t>n)throw new Error("Invalid axis");if("string"===e[0].type)throw new Error("string tensor is not supported.")}},2150:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseInternalActivationAttributes=t.getActivationSnippet=void 0;const r=n(7273),i=n(9087);t.getActivationSnippet=function(e){let t;switch(e.activation){case"Relu":t=(0,i.glslRelu)();break;case"Sigmoid":t=(0,i.glslSigmoid)();break;case"Clip":t=(0,i.glslClip)(e.clipMin,e.clipMax);break;default:return{activationFunction:"",applyActivation:""}}const n=t.name;return{activationFunction:t.body,applyActivation:`value = ${n}_(value);`}},t.parseInternalActivationAttributes=e=>{const t=e.getString("activation","");if("Clip"===t){const[n,i]=e.getFloats("activation_params",[r.MIN_CLIP,r.MAX_CLIP]);return{activation:t,clipMax:i,clipMin:n,activationCacheKey:`${t}:${n},${i}`}}return{activation:t,activationCacheKey:t}}},6149:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseGatherAttributes=t.gather=void 0;const r=n(4910),i=n(6145),o=n(7273),a=n(5639);t.gather=(e,t,n)=>(c(t,n.axis),[e.run(u(e,t,n),t)]),t.parseGatherAttributes=e=>(0,r.createAttributeWithCacheKey)({axis:e.attributes.getInt("axis",0)});const s={name:"Gather",inputNames:["A","B"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},u=(e,t,n)=>{const r=Object.assign(Object.assign({},s),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((e,t,n,r)=>{const i=n[0].dims.slice(),s=n[1].dims.slice(),u=new Array(i.length+s.length-1);r=o.ShapeUtil.normalizeAxis(r,i.length);const c=[];for(let e=0;e<u.length;e++)e<r?(u[e]=i[e],c.push(`inputIdx[${e}] = outputIdx[${e}];`)):e<r+s.length?(u[e]=s[e-r],c.push(`indexDataIdx[${e-r}] = outputIdx[${e}];`)):(u[e]=i[e-s.length+1],c.push(`inputIdx[${e-s.length+1}] = outputIdx[${e}];`));const l=`\n      float process(int outputIdx[${u.length||1}]) {\n        int inputIdx[${i.length}];\n        int indexDataIdx[${s.length||1}];\n        indexDataIdx[0] = 0;\n        ${c.join("\n        ")}\n        int idx = int(_B(indexDataIdx));\n        inputIdx[${r}] = idx < 0 ? idx + ${i[r]} : idx;\n        return _A(inputIdx);\n      }`;return Object.assign(Object.assign({},t),{output:{dims:u,type:n[0].type,textureType:a.TextureType.unpacked},shaderSource:l})})(0,r,t,n.axis)})},c=(e,t)=>{if(!e||2!==e.length)throw new Error("Gather requires 2 inputs.");const n=e[0].dims.length;if(n<1)throw new Error("Invalid input shape.");if(t<-n||t>n-1)throw new Error("Invalid axis.");if(-1===i.NUMBER_TYPES.indexOf(e[0].type))throw new Error("Invaid input type.");if("int32"!==e[1].type&&"int16"!==e[1].type)throw new Error("Invaid input type.")}},5378:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseGemmAttributesV11=t.parseGemmAttributesV7=t.gemm=void 0;const r=n(4910),i=n(7273),o=n(5639);t.gemm=(e,t,n)=>(c(t,n),[e.run(s(t,n),t)]);const a=(e,t)=>{const n=0!==e.attributes.getInt("transA",0),i=0!==e.attributes.getInt("transB",0),o=e.attributes.getFloat("alpha",1),a=e.attributes.getFloat("beta",1);return(0,r.createAttributeWithCacheKey)({transA:n,transB:i,alpha:o,beta:a,isOptionalC:t})};t.parseGemmAttributesV7=e=>a(e,!1),t.parseGemmAttributesV11=e=>a(e,!0);const s=(e,t)=>{const n={name:"Gemm",inputNames:3===e.length?["A","B","C"]:["A","B"],inputTypes:3===e.length?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],key:t.cacheKey};return Object.assign(Object.assign({},n),{get:()=>u(n,e,t)})},u=(e,t,n)=>{const r=t[0].dims.slice(),a=t[1].dims.slice(),[s,u]=i.GemmUtil.getShapeOfGemmResult(r,n.transA,a,n.transB,3===t.length?t[2].dims:void 0),c=[s,u];if(!c)throw new Error("Can't use gemm on the given tensors");let l=r[r.length-1],d="";n.transA&&(l=r[0]),n.transA&&n.transB?d="value += _A_T(a) * _B_T(b);":n.transA&&!n.transB?d="value += _A_T(a) * _B(b);":!n.transA&&n.transB?d="value += _A(a) * _B_T(b);":n.transA||n.transB||(d="value += _A(a) * _B(b);");const p=c.length,f=`\n      float process(int indices[${p}]) {\n          int a[${p}];\n          int b[${p}];\n          ${3===t.length?`int c[${t[2].dims.length}];`:""}\n\n          copyVec(indices, a);\n          copyVec(indices, b);\n          ${3===t.length?"bcastIndices_C(indices, c);":""}\n\n          float value = 0.0;\n          for (int k=0; k<${l}; ++k) {\n              a[${p-1}] = k;\n              b[${p-2}] = k;\n              ${d}\n          }\n\n          value = value * alpha;\n          ${3===t.length?"value += beta * _C(c);":""}\n          return value;\n      }`;return Object.assign(Object.assign({},e),{output:{dims:c,type:t[0].type,textureType:o.TextureType.unpacked},variables:[{name:"alpha",type:"float",data:n.alpha},{name:"beta",type:"float",data:n.beta}],shaderSource:f})},c=(e,t)=>{if(!e)throw new Error("Input is missing");if(t.isOptionalC&&(e.length<2||e.length>3))throw new Error("Invaid input shape.");if(!t.isOptionalC&&3!==e.length)throw new Error("Gemm requires 3 inputs");if(3===e.length&&1!==e[2].dims.length&&2!==e[2].dims.length)throw new Error("Invalid input shape of C");if("float32"!==e[0].type&&"float64"!==e[0].type||"float32"!==e[1].type&&"float64"!==e[1].type||3===e.length&&"float32"!==e[2].type&&"float64"!==e[2].type)throw new Error("Invalid input type.");if(e[0].type!==e[1].type||3===e.length&&e[0].type!==e[2].type)throw new Error("Input types are mismatched")}},5950:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createPackedIm2ColProgramInfoLoader=void 0;const r=n(6757),i=n(5639),o=n(5614);t.createPackedIm2ColProgramInfoLoader=(e,t,n,a,s)=>{const u=(c=s.cacheKey,{name:"Im2Col (packed)",inputNames:["A"],inputTypes:[i.TextureType.packed],cacheHint:c});var c;return Object.assign(Object.assign({},u),{get:()=>((e,t,n,a,s,u)=>{const c=n.dims,l=a.dims,d=s.length,p=[l[1]*l[2]*l[3],s[2]*s[3]],f=l[2]*l[3],h=(0,o.unpackFromChannel)(),g=(0,r.getGlsl)(e.session.backend.glContext.version);let m="";for(let e=0;e<=1;e++)for(let t=0;t<=1;t++)m+=`\n            blockIndex = rc.x + ${t};\n            pos = rc.y + ${e};\n\n            if(blockIndex < ${p[1]} && pos < ${p[0]}) {\n              offsetY = int(blockIndex / (${s[d-1]})) * ${u.strides[0]} -\n                ${u.pads[0]};\n              d0 = offsetY + ${u.dilations[0]} * (imod(pos, ${f}) / ${l[2]});\n\n              if(d0 < ${c[2]} && d0 >= 0) {\n                offsetX = imod(blockIndex, ${s[d-1]}) * ${u.strides[1]} -\n                  ${u.pads[1]};\n                d1 = offsetX + ${u.dilations[1]} * imod(imod(pos, ${f}), ${l[2]});\n\n                if(d1 < ${c[3]} && d1 >= 0) {\n\n                  ch = int(float(pos)/ ${f}.);\n                    innerDims = vec2(d0, d1);\n                    result[${2*e+t}] = getChannel(\n                      getA(0, ch, int(innerDims.x),\n                      int(innerDims.y)), innerDims);\n                }\n              }\n            }\n\n          `;const b=`\n      ${h}\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n          vec4 result = vec4(0.0);\n          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n          vec2 innerDims;\n          ${m}\n          ${g.output} = result;\n      }\n            `;return Object.assign(Object.assign({},t),{output:{dims:p,type:n.type,textureType:i.TextureType.packed},shaderSource:b,hasMain:!0})})(e,u,t,n,a,s)})}},1625:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.calculateIm2ColDims=t.createIm2ColProgramInfoLoader=void 0;const r=n(5639);t.createIm2ColProgramInfoLoader=(e,n,i,o,a)=>{const s=(u=a.cacheKey,{name:"Im2Col",inputNames:["X"],inputTypes:[r.TextureType.unpacked],cacheHint:u});var u;return Object.assign(Object.assign({},s),{get:()=>((e,n,i,o,a,s)=>{const u=i.dims,c=o.dims,l=a.length,d=(0,t.calculateIm2ColDims)(u,c,a,4),p=`\n        const int XC = ${u[1]};\n        const int XH = ${u[2]};\n        const int XW = ${u[3]};\n        const int KH = ${s.kernelShape[0]};\n        const int KW = ${s.kernelShape[1]};\n        const int dilationH = ${s.dilations[0]};\n        const int dilationW = ${s.dilations[1]};\n        const int strideH = ${s.strides[0]};\n        const int strideW = ${s.strides[1]};\n        const int padH = ${s.pads[0]};\n        const int padW = ${s.pads[1]};\n        const int KHKW = KH*KW;\n        const int XCKHKW = XC * KHKW;\n        const int outputChannels = 4;\n        vec4 process(int indices[${l}]) {\n          int b  = indices[0]; // batch size\n          int oh = indices[1] * strideH - padH; //output height\n          int ow = indices[2] * strideW - padW; //output width\n          int p = indices[3] * outputChannels; //patch\n          vec4 value = vec4(0.0);\n          for(int i=0; i < outputChannels; ++i) {\n            if(p < XCKHKW) {\n              int patchC = p / KHKW;\n              int patchH = (p - patchC*KHKW) / KW;\n              int patchW = (p - patchC*KHKW) - patchH * KW;\n              int xh2 = oh + patchH * dilationH;\n              int xw2 = ow + patchW * dilationW;\n              int x[${u.length}];\n              x[0] = b;\n              x[1] = patchC;\n              x[2] = xh2;\n              x[3] = xw2;\n              if(xh2 >= 0 &&\n                  xh2 < XH &&\n                  xw2 >= 0 &&\n                  xw2 < XW) {\n                value[i] = _X(x);\n              }\n            }\n            ++p;\n          }\n          return value;\n        }\n        `;return Object.assign(Object.assign({},n),{output:{dims:d,type:i.type,textureType:r.TextureType.packedLastDimension},shaderSource:p})})(0,s,n,i,o,a)})},t.calculateIm2ColDims=(e,t,n,r=4)=>[n[0],n[2],n[3],Math.ceil(e[1]*t[2]*t[3]/r)]},6981:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseImageScalerAttributes=t.imageScaler=void 0;const r=n(4910),i=n(5639);t.imageScaler=(e,t,n)=>(u(t),[e.run(a(e,t,n),t)]),t.parseImageScalerAttributes=e=>{const t=e.attributes.getFloat("scale"),n=e.attributes.getFloats("bias");return(0,r.createAttributeWithCacheKey)({scale:t,bias:n})};const o={name:"ImageScaler",inputNames:["X"],inputTypes:[i.TextureType.unpacked]},a=(e,t,n)=>{const r=Object.assign(Object.assign({},o),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((e,t,n,r)=>{const o=n[0].dims.slice(),a=o.length,u=`\n      ${s(r.bias.length)}\n      float process(int indices[${a}]) {\n        return _X(indices) * scale + getBias(bias, indices[1]);\n      }`;return Object.assign(Object.assign({},t),{output:{dims:o,type:n[0].type,textureType:i.TextureType.unpacked},variables:[{name:"bias",type:"float",arrayLength:r.bias.length,data:r.bias},{name:"scale",type:"float",data:r.scale}],shaderSource:u})})(0,r,t,n)})},s=e=>{const t=[`float getBias(float bias[${e}], int channel) {`];for(let n=0;n<e;++n)0===n?t.push(`\tif (channel == ${n}) { return bias[${n}]; }`):n===e-1?t.push(`\telse { return bias[${n}]; }`):t.push(`\telse if (channel == ${n}) { return bias[${n}]; }`);return t.push("\t}"),t.join("\n")},u=e=>{if(!e||1!==e.length)throw new Error("ImageScaler requires 1 input.");if(4!==e[0].dims.length)throw new Error("Invalid input shape.");if("float32"!==e[0].type&&"float64"!==e[0].type)throw new Error("Invalid input type.")}},7413:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseInstanceNormalizationAttributes=t.instanceNormalization=void 0;const r=n(6757),i=n(5639);t.instanceNormalization=(e,t,n)=>{c(t);const r=e.run(a(t[0]),t);return[e.run(u(e,t[0],n,r.dims),[t[0],r,t[1],t[2]])]},t.parseInstanceNormalizationAttributes=e=>e.attributes.getFloat("epsilon",1e-5);const o={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[i.TextureType.unpacked]},a=e=>Object.assign(Object.assign({},o),{get:()=>((e,t)=>{const n=t.dims.slice(),r=n[1],o=n[2]*n[3],a=[n[0],r],s=`\n      vec4 process(int[2] indices) {\n        vec4 v = vec4(0.0);\n        int a[4];\n        a[0] = indices[0];\n        a[1] = indices[1];\n        float temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += x;\n          }\n        }\n        float mean = temp / float(${o});\n        temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += (x - mean) * (x - mean);\n          }\n        }\n        v.r = mean;\n        v.g = temp / float(${o});\n\n        return v;\n      }`;return Object.assign(Object.assign({},e),{output:{dims:a,type:t.type,textureType:i.TextureType.packedLastDimension},shaderSource:s})})(o,e)}),s={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[i.TextureType.unpacked,i.TextureType.packedLastDimension,i.TextureType.unpacked,i.TextureType.unpacked]},u=(e,t,n,o)=>{const a=Object.assign(Object.assign({},s),{cacheHint:`${n}`});return Object.assign(Object.assign({},a),{get:()=>((e,t,n,o,a)=>{const s=(0,r.getGlsl)(e.session.backend.glContext.version),[u,c]=e.calculateTextureWidthAndHeight(a,i.TextureType.packedLastDimension),[l,d]=[u/4,c],p=`\n      vec4 get_MeanAndVariance(int[2] mv) {\n        int offset = indicesToOffset_MeanAndVariance(mv);\n        vec2 coords = offsetToCoords(offset, ${l}, ${d});\n        return ${s.texture2D}(MeanAndVariance, coords);\n      }\n\n      float process(int[4] indices) {\n        int mv[2];\n        mv[0] = indices[0];\n        mv[1] = indices[1];\n        vec4 mean_and_variance = get_MeanAndVariance(mv);\n        float mean = mean_and_variance.r;\n        float variance = mean_and_variance.g;\n\n        int sb[1];\n        sb[0] = indices[1];\n        float scale = _Scale(sb);\n        float b = _B(sb);\n\n        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;\n      }`;return Object.assign(Object.assign({},t),{output:{dims:n.dims,type:n.type,textureType:i.TextureType.unpacked},variables:[{name:"epsilon",type:"float",data:o}],shaderSource:p})})(e,a,t,n,o)})},c=e=>{if(!e||3!==e.length)throw new Error("InstanceNormalization requires 3 inputs.");const t=e[0],n=e[1],r=e[2];if(t.dims.length<3||1!==n.dims.length||1!==r.dims.length)throw new Error("Invalid input shape.");if(n.dims[0]!==t.dims[1]||r.dims[0]!==t.dims[1])throw new Error("Input shapes are mismatched.");if("float32"!==t.type&&"float64"!==t.type||"float32"!==n.type&&"float64"!==n.type||"float32"!==r.type&&"float64"!==r.type)throw new Error("Invalid input type.");if(4!==e[0].dims.length)throw new Error("Only support 4-D input shape.")}},7006:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createLrnProgramInfoLoader=t.parseLrnAttributes=t.lrn=void 0;const r=n(4910),i=n(5639);t.lrn=(e,t,n)=>(s(t),[e.run(a(t,n),t)]),t.parseLrnAttributes=e=>{const t=e.attributes.getFloat("alpha",1e-4),n=e.attributes.getFloat("beta",.75),i=e.attributes.getFloat("bias",1),o=e.attributes.getInt("size");return(0,r.createAttributeWithCacheKey)({alpha:t,beta:n,bias:i,size:o})};const o={name:"LRN",inputNames:["X"],inputTypes:[i.TextureType.unpacked]};function a(e,t){return Object.assign(Object.assign({},o),{cacheHint:t.cacheKey,get:()=>function(e,t){const n=e[0].dims[1],r=e[0].dims.length,a=-Math.floor((t.size-1)/2),s=Math.ceil((t.size-1)/2),u=`float(${t.alpha}) / float(${t.size})`,c=`\n    float process(int indices[${r}]) {\n        int c = indices[1];\n        float x = _X(indices);\n        float square_sum = 0.0;\n\n        for (int i = ${a}; i <= ${s}; i++) {\n          int idx = c + i;\n          if (c >= 0 && c < ${n}) {\n            indices[1] = idx;\n            float j = _X(indices);\n            square_sum += j * j;\n          }\n        }\n        return x / pow(float(${t.bias}) + ${u} * square_sum, float(${t.beta}));\n    }`;return Object.assign(Object.assign({},o),{cacheHint:t.cacheKey,output:{dims:e[0].dims,type:e[0].type,textureType:i.TextureType.unpacked},shaderSource:c})}(e,t)})}t.createLrnProgramInfoLoader=a;const s=e=>{if(!e||1!==e.length)throw new Error("LRN requires 1 input.");if(4!==e[0].dims.length)throw new Error('currently only support LRN for input with "NCHW" format');if("float32"!==e[0].type)throw new Error("input should be float type")}},5632:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createPackedMatmulProgramInfoLoader=void 0;const r=n(7273),i=n(6757),o=n(5639),a=n(432),s=n(2150),u=n(8276);t.createPackedMatmulProgramInfoLoader=(e,t,n)=>{const c=(l=t.length>2,d=n.activationCacheKey,{name:"MatMul (packed)",inputNames:l?["A","B","Bias"]:["A","B"],inputTypes:l?[o.TextureType.packed,o.TextureType.packed,o.TextureType.packed]:[o.TextureType.packed,o.TextureType.packed],cacheHint:d});var l,d;return Object.assign(Object.assign({},c),{get:()=>((e,t,n,c)=>{const l=n.length>2,d=l?"value += getBiasForMatmul();":"",p=n[0].dims,f=n[1].dims,h=r.BroadcastUtil.calcShape(p,f,!0),g=!r.ShapeUtil.areEqual(n[0].dims,n[1].dims);if(!h)throw new Error("Can't use matmul on the given tensors");const m=p[p.length-1],b=Math.ceil(m/2),y=p.length,_=f.length,v=(0,i.getGlsl)(e.session.backend.glContext.version),w=(0,a.getCoordsDataType)(h.length),x=h.length,T=(0,a.getGlChannels)(),{activationFunction:S,applyActivation:O}=(0,s.getActivationSnippet)(c),A=l?`${(0,u.getBiasForMatmul)(w,T,n[2].dims,h,!0)}`:"",E=g?`${function(e,t,n,i){let o=[],a=[];const s=n[0].dims,u=n[1].dims,c=s.length,l=u.length,d=i.length,p=d-c,f=d-l;o=s.map(((e,n)=>`coords.${t[n+p]}`)),o[c-1]="i*2",o.join(", "),a=u.map(((e,n)=>`coords.${t[n+f]}`)),a[l-2]="i*2",a.join(", ");const h=r.BroadcastUtil.getBroadcastDims(s,i),g=r.BroadcastUtil.getBroadcastDims(u,i),m=h.map((e=>`coords.${t[e+p]} = 0;`)).join("\n"),b=g.map((e=>`coords.${t[e+f]} = 0;`)).join("\n"),y=`int lastDim = coords.${t[d-1]};\n  coords.${t[d-1]} = coords.${t[d-2]};\n  coords.${t[d-2]} = lastDim;`;return`\nvec4 getAAtOutCoordsMatmul(int i) {\n  ${e} coords = getOutputCoords();\n  ${y}\n  ${m}\n  vec4 outputValue = getA(${o});\n  return outputValue;\n}\n\nvec4 getBAtOutCoordsMatmul(int i) {\n  ${e} coords = getOutputCoords();\n  ${y}\n  ${b}\n  vec4 outputValue = getB(${a});\n  return outputValue;\n}`}(w,T,n,h)}`:"",I=g?"getAAtOutCoordsMatmul(i)":`getA(${function(e,t){let n="";for(let r=0;r<t-2;r++)n+=`rc.${e[r]}, `;return n+=`rc.${e[t-2]}, i*2`,n}(T,y)})`,P=g?"getBAtOutCoordsMatmul(i)":`getB(${function(e,t){let n="";for(let r=0;r<t-2;r++)n+=`rc.${e[r]}, `;return n+=`i*2, rc.${e[t-1]}`,n}(T,_)})`,$=`\n            ${E}\n            ${A}\n            ${S}\n            void main() {\n              ${g?"":`${w} rc =\n          getOutputCoords(); int lastDim = rc.${T[x-1]}; rc.${T[x-1]} =\n          rc.${T[x-2]}; rc.${T[x-2]} = lastDim;\n      `}\n\n              vec4 value = vec4(0);\n              for (int i = 0; i < ${b}; i++) {\n                vec4 a = ${I};\n                vec4 b = ${P};\n\n                value += (a.rrbb * b.rgrg);\n                value += (a.ggaa * b.baba);\n              }\n              ${d}\n              ${O}\n              ${v.output} = value;\n            }`;return Object.assign(Object.assign({},t),{output:{dims:h,type:n[0].type,textureType:o.TextureType.packed},shaderSource:$,hasMain:!0})})(e,c,t,n)})}},8276:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.getBiasForMatmul=t.createMatmulProgramInfoLoader=t.parseMatMulAttributes=t.matMul=void 0;const r=n(7273),i=n(5639),o=n(432),a=n(2150),s=n(5632);t.matMul=(e,t,n)=>(l(t),e.session.pack?[e.run((0,s.createPackedMatmulProgramInfoLoader)(e,t,n),t)]:[e.run(c(t,n),t)]),t.parseMatMulAttributes=e=>(0,a.parseInternalActivationAttributes)(e.attributes);const u=(e,t)=>({name:"MatMul",inputNames:e?["A","B","Bias"]:["A","B"],inputTypes:e?[i.TextureType.unpacked,i.TextureType.unpacked,i.TextureType.unpacked]:[i.TextureType.unpacked,i.TextureType.unpacked],cacheHint:t});function c(e,t){const n=u(e.length>2,t.activationCacheKey);return Object.assign(Object.assign({},n),{get:()=>function(e,t,n){const 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  const float constant = float(${a});\n        int offset = 0;\n        int k = 0;\n        ${u}\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\n        float value = getColorAsFloat(${e.texture2D}(A, coords));\n        return value;\n      }\n      `},h=(e,t,n,r,i,o)=>{const a=t.length;let s="";for(let e=a-1;e>=0;--e)s+=`\n        k = m[${e}] - ${o[e]};\n        if (k < 0) { k = -k; }\n        {\n          const int _2n_1 = ${2*(t[e]-1)};\n          k = int( mod( float(k), float(_2n_1) ) ) ;\n          if(k >= ${t[e]}) { k = _2n_1 - k; }\n        }\n        offset += k * ${n[e]};\n        `;return`\n      float padA(int m[${a}]) {\n        int offset = 0;\n        int k = 0;\n        ${s}\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\n        float value = getColorAsFloat(${e.texture2D}(A, coords));\n        return value;\n      }\n      `},g=(e,t,n,r,i,o)=>{const a=t.length;let s="";for(let e=a-1;e>=0;--e)s+=`\n        k = m[${e}] - ${o[e]};\n        if (k < 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t=e.attributes.getString("auto_pad","NOTSET"),n=e.attributes.getInt("ceil_mode",0),i=0!==e.attributes.getInt("count_include_pad",0),o=e.attributes.getInts("kernel_shape"),a=e.attributes.getInts("strides",[]),s=e.attributes.getInts("pads",[]);if(0!==n)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return(0,r.createAttributeWithCacheKey)({autoPad:t,ceilMode:n,countIncludePad:i,kernelShape:o,strides:a,pads:s})};const a=(e,t,n,r)=>{const[a,s]=u(e,r,n),c=i.ShapeUtil.size(a.kernelShape);let l="";a.countIncludePad?l+=`value /= float(${c});`:l+=`value /= float(${c} - pad);`;const d=`\n        ${p(e[0].dims,a,"value += _X(x);",l,"0.0")}\n      `;return Object.assign(Object.assign({},t),{output:{dims:s,type:e[0].type,textureType:o.TextureType.unpacked},shaderSource:d})};t.globalAveragePool=(e,t,n)=>{d(t);const r={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[o.TextureType.unpacked],cacheHint:`${n.countIncludePad}`};return[e.run(Object.assign(Object.assign({},r),{get:()=>a(t,r,!0,n)}),t)]},t.parseGlobalAveragePoolAttributes=e=>{const t=0!==e.attributes.getInt("count_include_pad",0);return(0,r.createAttributeWithCacheKey)({autoPad:"",ceilMode:0,countIncludePad:t,kernelShape:[],strides:[],pads:[]})},t.maxPool=(e,t,n)=>{d(t);const r={name:"MaxPool",inputNames:["X"],inputTypes:[o.TextureType.unpacked],cacheHint:n.cacheKey};return[e.run(Object.assign(Object.assign({},r),{get:()=>s(t,r,!1,n)}),t)]},t.parseMaxPoolAttributes=e=>{const t=e.attributes.getString("auto_pad","NOTSET"),n=e.attributes.getInt("ceil_mode",0),i=e.attributes.getInts("kernel_shape"),o=e.attributes.getInts("strides",[]),a=e.attributes.getInts("pads",[]),s=e.attributes.getInt("storage_order",0),u=e.attributes.getInts("dilations",[]);if(0!==s)throw new Error("column major storage order is not yet supported for 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${o};\n          int pad = 0;\n          bool isPad = false;\n          for (int i = 0; i < ${s}; i++) {\n            offsetToIndices(i, kernelStrides, offset);\n            isPad = false;\n            for (int j = ${a} - ${c}; j < ${a}; j++) {\n              x[j] = indices[j] * strides[j - ${a} + ${c}]\n                + offset[j - ${a} + ${c}] - pads[j - 2];\n              ${y}\n          }\n          ${r}\n\n          return value;\n        }\n      `}},f=(e,t)=>{let n="";for(let r=0;r<e.length;r++)n+=`\n      ${t}[${r}] = ${e[r]};\n    `;return n},h=e=>`\n  void offsetToIndices(int offset, int[${e}] strides, out int[${e}] indices) {\n    if (${e} == 0) {\n      return;\n    }\n    for (int i = 0; i < ${e} - 1; ++i) {\n      indices[i] = offset / strides[i];\n      offset -= indices[i] * strides[i];\n    }\n    indices[${e} - 1] = offset;\n  }`},1010:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.reduceLogSumSquare=t.reduceLogSum=t.reduceProd=t.reduceMin=t.reduceMax=t.reduceMean=t.reduceSum=t.parseReduceAttributes=void 0;const r=n(4910),i=n(6145),o=n(7273),a=n(5639),s=(e,t,n,r,i)=>{c(t);const o={name:r,inputNames:["A"],inputTypes:[a.TextureType.unpacked]};return[e.run(Object.assign(Object.assign({},o),{cacheHint:n.cacheKey,get:()=>u(e,t,n,r,i,o)}),t)]};t.parseReduceAttributes=e=>{const t=e.attributes.getInts("axes",[]),n=1===e.attributes.getInt("keepdims",1);return(0,r.createAttributeWithCacheKey)({axes:t,keepDims:n})};const u=(e,t,n,r,i,s)=>{const u=[],c=t[0].dims.length||1,l=[],d=o.ShapeUtil.normalizeAxes(n.axes,t[0].dims.length),p=i(t,d);let f=p[1];for(let e=0;e<t[0].dims.length;e++)d.indexOf(e)>=0||0===d.length?(n.keepDims&&u.push(1),f=`\n          for(int j${e} = 0; j${e} < ${t[0].dims[e]}; j${e}++) {\n            inputIdx[${e}] = j${e};\n            ${f}\n          }`):(l.push(`inputIdx[${e}] = outputIdx[${u.length}];`),u.push(t[0].dims[e]));const h=`\n      float process(int outputIdx[${u.length||1}]) {\n        float value;                 // final result\n        int inputIdx[${c}];      // addressing input data\n        ${l.join("\n")}\n        ${p[0]}       // init ops for reduce max/min\n        ${f}\n        ${p[2]}       // final computation for reduce mean\n        return value;\n      }`;return Object.assign(Object.assign({},s),{output:{dims:u,type:t[0].type,textureType:a.TextureType.unpacked},shaderSource:h})},c=e=>{if(!e||1!==e.length)throw new Error("Reduce op requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(e[0].type))throw new Error("Invalid input type.")};t.reduceSum=(e,t,n)=>s(e,t,n,"ReduceSum",(()=>["value = 0.0;","value += _A(inputIdx);",""])),t.reduceMean=(e,t,n)=>s(e,t,n,"ReduceMean",((e,t)=>{let n=1;for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&(n*=e[0].dims[r]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${n}.;`]})),t.reduceMax=(e,t,n)=>s(e,t,n,"ReduceMax",((e,t)=>{const n=[];for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]})),t.reduceMin=(e,t,n)=>s(e,t,n,"ReduceMin",((e,t)=>{const n=[];for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]})),t.reduceProd=(e,t,n)=>s(e,t,n,"ReduceProd",(()=>["value = 1.0;","value *= _A(inputIdx);",""])),t.reduceLogSum=(e,t,n)=>s(e,t,n,"ReduceLogSum",(()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"])),t.reduceLogSumSquare=(e,t,n)=>s(e,t,n,"ReduceLogSumSquare",(()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""]))},7379:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.isReshapeCheap=t.processDims3D=t.createPackedReshape3DProgramInfoLoader=void 0;const r=n(7273),i=n(6757),o=n(5639),a=n(5614);t.createPackedReshape3DProgramInfoLoader=(e,t,n)=>{const s=(e=>({name:"Reshape (packed)",inputTypes:[o.TextureType.packed],inputNames:["A"],cacheHint:`${e}`}))(n);return Object.assign(Object.assign({},s),{get:()=>((e,t,n,s)=>{const u=t.dims,c=s;let l="";for(let e=0;e<4;e++){let t="";switch(e){case 0:t="outputCoords = rc;";break;case 1:t="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:t="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:t="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}l+=`\n        ${t}\n        ${e>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}\n          int flattenedIndex = getFlattenedIndex(outputCoords);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);\n          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${e}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);\n\n        ${e>0?"}":""}\n      `}const d=(0,i.getGlsl)(e.session.backend.glContext.version),p=`\n      ${function(e){const t=r.ShapeUtil.computeStrides(e),n=["b","r","c"],i="index";return`\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${t.map(((e,r)=>`int ${n[r]} = ${i} / ${e}; ${r===t.length-1?`int ${n[r+1]} = ${i} - ${n[r]} * ${e}`:`index -= ${n[r]} * ${e}`};`)).join("")}\n      return ivec3(b, r, c);\n    }\n  `}(u)}\n      ${function(e){const t=r.ShapeUtil.computeStrides(e);return`\n  int getFlattenedIndex(ivec3 coords) {\n    // reverse y, z order\n    return coords.x * ${t[0]} + coords.z * ${t[1]} + coords.y;\n  }\n`}(c)}\n      ${(0,a.unpackFromChannel)()}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.0);\n\n        ivec3 outputCoords;\n        int rows = ${c[2]};\n        int cols = ${c[1]};\n\n        ${l}\n        ${d.output} = result;\n      }\n    `;return Object.assign(Object.assign({},n),{output:{dims:c,type:t.type,textureType:o.TextureType.packed},shaderSource:p,hasMain:!0})})(e,t,s,n)})},t.processDims3D=function(e){if(0===e.length)return[1,1,1];let t=1;for(let n=0;n<e.length-2;++n)t*=e[n];return[t,e.length>1?e[e.length-2]:1,e[e.length-1]]},t.isReshapeCheap=function(e,t){let n=!1;return n=0===e.length||0===t.length||(e.length<2||t.length<2?e[e.length-1]===t[t.length-1]:e[e.length-1]===t[t.length-1]&&e[e.length-2]===t[t.length-2]),n}},8126:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.reshape=void 0;const r=n(7273);t.reshape=(e,t)=>{const n=r.ShapeUtil.calculateReshapedDims(t[0].dims,t[1].integerData);return e.session.pack?[e.reshapePacked(t[0],n)]:[e.reshapeUnpacked(t[0],n)]}},2801:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseResizeAttributesV11=t.parseResizeAttributesV10=t.resize=void 0;const r=n(6757),i=n(5639),o=n(432),a=n(5614),s=n(3980),u={name:"Resize",inputNames:["A"],inputTypes:[i.TextureType.packed]};t.resize=(e,t,n)=>((0,s.validateInputs)(t,n),[e.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>c(e,t,n)}),t)]),t.parseResizeAttributesV10=e=>(0,s.parseUpsampleAttributes)(e,10),t.parseResizeAttributesV11=e=>(0,s.parseUpsampleAttributes)(e,11);const c=(e,t,n)=>{const s=(0,r.getGlsl)(e.session.backend.glContext.version),[c,d]=l(t,n);if(c.every((e=>1===e))&&"tf_crop_and_resize"!==n.coordinateTransformMode)return Object.assign(Object.assign({},u),{output:{dims:d,type:t[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:`void main() {\n                    vec4 v = ${s.texture2D}(X, TexCoords);\n                    ${s.output} = v;\n                }`});const p=d.length;if(p<2)throw new Error(`output dimension should be at least 2, but got ${p}`);const f=d[p-2],h=d[p-1],g=t[0].dims;if(p!==g.length)throw new Error(`output dimension should match input ${g.length}, but got ${p}`);const m=g[p-2],b=g[p-1],y=c[p-2],_=c[p-1];let v="";if("linear"!==n.mode)throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case"asymmetric":v="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return vec4(coords) / scaleWHWH;\n                    }\n                ";break;case"half_pixel":v="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;\n                    }\n                ";break;case"pytorch_half_pixel":v=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 fcoords = vec4(coords);\n                        return vec4(\n                            ${h}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,\n                            ${f}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,\n                            ${h}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,\n                            ${f}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0\n                          );\n                    }\n                `;break;case"align_corners":v=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 resized = vec4(${h}.0 - 1.0, ${f}.0 - 1.0, ${h}.0 - 1.0,\n                            ${f}.0 - 1.0);\n                        vec4 original = vec4(${b}.0 - 1.0, ${m}.0 - 1.0, ${b}.0 - 1.0,\n                            ${m}.0 - 1.0);\n                        vec4 new_scale = original / resized;\n                        return vec4(coords) * new_scale;\n                    }\n                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}const w=(0,o.getCoordsDataType)(p),x=`\n            const vec2 inputWH = vec2(${m}.0, ${b}.0);\n            const vec4 scaleWHWH = vec4(float(${y}), float(${_}), float(${y}), float(${_}));\n            ${(0,a.unpackFromChannel)()}\n            ${v}\n            float getAValue(int x10, int r, int c, int d) {\n                return getChannel(getA(x10, r, c, d), vec2(c, d));\n            }\n            void main() {\n                ${w} rc = getOutputCoords();\n\n                int batch = rc[0];\n                int depth = rc[1];\n\n                // retrieve the 4 coordinates that is used in the 4 packed output values.\n                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);\n\n                // calculate the source index in fraction\n                vec4 sourceFrac = getSourceFracIndex(coords);\n\n                // get the lower and upper bound of the 4 values that will be packed into one texel.\n                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));\n                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));\n                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));\n                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));\n\n                bool hasNextRow = rc.w < ${f-1};\n                bool hasNextCol = rc.z < ${h-1};\n\n                // pack x00, x01, x10, x11's top-left corner into one vec4 structure\n                vec4 topLeft = vec4(\n                    getAValue(batch, depth, x00.x, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's top-right corner into one vec4 structure\n                vec4 topRight = vec4(\n                    getAValue(batch, depth, x00.x, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure\n                vec4 bottomLeft = vec4(\n                    getAValue(batch, depth, x00.z, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure\n                vec4 bottomRight = vec4(\n                    getAValue(batch, depth, x00.z, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);\n\n                // calculate the interpolation fraction on u and v direction\n                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);\n                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));\n\n                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);\n                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);\n                vec4 newValue = mix(top, bottom, clampFrac.xxzz);\n\n                ${s.output} = vec4(newValue);\n            }\n        `;return Object.assign(Object.assign({},u),{output:{dims:d,type:t[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:x})},l=(e,t)=>{const n=e[0].dims;let r,i=t.scales;if(0===i.length){const o=e[t.scalesInputIdx];if(o&&0!==o.size){if(e[t.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");i=d(o,t.mode,t.isResize)}else{const o=e[t.sizesInputIdx];if(!o||0===o.size)throw new Error("Either scales or sizes MUST be provided as input.");r=Array.from(o.integerData),i=p(r,n,t.mode,t.isResize)}}else if(e[t.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");const o=r||n.map(((e,t)=>Math.floor(e*i[t])));return[i,o]},d=(e,t,n)=>{const r=Array.from(e.floatData);return(0,s.scalesValidation)(r,t,n),r},p=(e,t,n,r)=>{const i=t.length,o=new Array(i);for(let n=0,r=i;n<r;n++)if(0===t[n]){if(0!==e[n])throw new Error("Input dim is zero but required output dim is non-zero.");o[n]=1}else o[n]=e[n]/t[n];return(0,s.scalesValidation)(o,n,r),o}},565:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.shape=void 0;const r=n(9240);t.shape=(e,t)=>(i(t),[new r.Tensor([t[0].dims.length],"int32",void 0,void 0,new Int32Array(t[0].dims))]);const i=e=>{if(!e||1!==e.length)throw new Error("Shape requires 1 input.")}},2444:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.sliceV10=t.parseSliceAttributes=t.slice=void 0;const r=n(4910),i=n(6145),o=n(7273),a=n(5639),s={name:"Slice",inputNames:["A"],inputTypes:[a.TextureType.unpacked]};t.slice=(e,t,n)=>(c(t),[e.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>u(e,t[0],n)}),t)]),t.parseSliceAttributes=e=>{const t=e.attributes.getInts("starts"),n=e.attributes.getInts("ends"),i=e.attributes.getInts("axes",[]);return(0,r.createAttributeWithCacheKey)({starts:t,ends:n,axes:i})};const u=(e,t,n)=>{const r=0===n.axes.length?t.dims.slice(0).map(((e,t)=>t)):n.axes,i=o.ShapeUtil.normalizeAxes(r,t.dims.length),u=n.starts.map(((e,n)=>e>t.dims[i[n]]-1?t.dims[i[n]]:o.ShapeUtil.normalizeAxis(e,t.dims[i[n]]))),c=n.ends.map(((e,n)=>e>t.dims[i[n]]-1?t.dims[i[n]]:o.ShapeUtil.normalizeAxis(e,t.dims[i[n]]))),l=t.dims.slice(),d=[];for(let e=0;e<i.length;e++)l[i[e]]=c[e]-u[e],u[e]>0&&d.push(`outputIdx[${i[e]}] += ${u[e]};`);const p=`\n      float process(int outputIdx[${l.length}]) {\n        ${d.join("\n      ")}\n        return _A(outputIdx);\n      }`;return Object.assign(Object.assign({},s),{output:{dims:l,type:t.type,textureType:a.TextureType.unpacked},shaderSource:p})},c=e=>{if(!e||1!==e.length)throw new Error("Slice requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(e[0].type))throw new Error("Invalid input type.")};t.sliceV10=(e,t)=>{d(t);const n=l(e,t);return[e.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>u(e,t[0],n)}),[t[0]])]};const l=(e,t)=>{if(!e.session.isInitializer(t[1].dataId)||!e.session.isInitializer(t[2].dataId)||t.length>=4&&!e.session.isInitializer(t[3].dataId)||t.length>=5&&!e.session.isInitializer(t[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(t.length>=5&&t[4].integerData.some((e=>1!==e)))throw new Error("currently non-1 steps is not supported for Slice");const n=Array.from(t[1].integerData),r=Array.from(t[2].integerData),i=t.length>=4?Array.from(t[3].integerData):[];return{starts:n,ends:r,axes:i,cacheKey:`${i};${n};${r}`}},d=e=>{if(!e||e.length<3||e.length>5)throw new Error("Invalid input number.");if("int32"!==e[1].type||1!==e[1].dims.length)throw new Error("Invalid input type.");if("int32"!==e[2].type||1!==e[2].dims.length)throw new Error("Invalid input type.");if(e.length>=4&&("int32"!==e[3].type||1!==e[3].dims.length))throw new Error("Invalid input type.");if(e.length>=5&&("int32"!==e[4].type||1!==e[4].dims.length))throw new Error("Invalid input type.")}},815:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.softmaxV13=t.parseSoftmaxAttributesV13=t.parseSoftmaxAttributes=t.softmax=void 0;const r=n(4910),i=n(7273),o=n(6757),a=n(5639),s=n(5707),u={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[a.TextureType.unpacked]},c={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},l={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked,a.TextureType.unpacked]};t.softmax=(e,t,n)=>{g(t);const r=t[0].dims.slice(),o=i.ShapeUtil.normalizeAxis(n.axis,r.length),a=i.ShapeUtil.sizeToDimension(r,o),s=i.ShapeUtil.sizeFromDimension(r,o);return d(e,t,n,a,s)},t.parseSoftmaxAttributes=e=>(0,r.createAttributeWithCacheKey)({axis:e.attributes.getInt("axis",1)}),t.parseSoftmaxAttributesV13=e=>(0,r.createAttributeWithCacheKey)({axis:e.attributes.getInt("axis",-1)}),t.softmaxV13=(e,t,n)=>{g(t);const o=t[0].dims.slice(),a=i.ShapeUtil.normalizeAxis(n.axis,o.length),u=o.length,c=a!==u-1,l=[];let p,f=[],h=[];c&&(f=Array.from({length:u}).map(((e,t)=>t)),f[a]=u-1,f[u-1]=a,f.map((e=>l.push(o[e]))),p=(0,r.createAttributeWithCacheKey)({perm:f}),h=(0,s.transpose)(e,t,p));const m=c?i.ShapeUtil.sizeToDimension(l,u-1):i.ShapeUtil.sizeToDimension(o,u-1),b=c?i.ShapeUtil.sizeFromDimension(l,u-1):i.ShapeUtil.sizeFromDimension(o,u-1),y=d(e,c?h:t,n,m,b);return c?(0,s.transpose)(e,y,p):y};const d=(e,t,n,r,i)=>{const o=p(e,t[0],r,i,[r]),a=e.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>o}),t),s=f(e,t[0],r,i,o.output.dims,[r]),d=e.run(Object.assign(Object.assign({},c),{cacheHint:n.cacheKey,get:()=>s}),[t[0],a]),g=h(e,t[0],r,i,o.output.dims,s.output.dims);return[e.run(Object.assign(Object.assign({},l),{cacheHint:n.cacheKey,get:()=>g}),[t[0],a,d])]},p=(e,t,n,r,i)=>{const[s,c]=e.calculateTextureWidthAndHeight(t.dims,a.TextureType.unpacked),l=i.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==i.length)throw new Error("Dimensionality of the output should be 1");if(i[0]!==n)throw new Error("Shape of the output should be equal to logical row count");const d=(0,o.getGlsl)(e.session.backend.glContext.version),p=`\n      float process(int[${l}] indices) {\n        int logical_row_start_offset = indices[0] * ${r};\n\n        float max = getColorAsFloat(${d.texture2D}(A, offsetToCoords(logical_row_start_offset, ${s},\n  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Float32Array(t)}toEncoderType(e){return"float"}clearActiveTextures(){this.glContext.clearActiveTextures()}}},5639:(e,t)=>{"use strict";var n;Object.defineProperty(t,"__esModule",{value:!0}),t.TextureType=void 0,(n=t.TextureType||(t.TextureType={}))[n.unpacked=0]="unpacked",n[n.unpackedReversed=1]="unpackedReversed",n[n.packed=2]="packed",n[n.downloadUint8AsFloat=3]="downloadUint8AsFloat",n[n.packedLastDimension=4]="packedLastDimension"},432:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.getGlChannels=t.getCoordsDataType=t.getSqueezedParams=t.squeezeInputShape=t.generateShaderFuncNameFromInputSamplerNameAtOutCoords=t.generateShaderFuncNameFromInputSamplerName=t.repeatedTry=t.getPackedShape=void 0;const r=n(7273);t.getPackedShape=function(e){const t=e.length;return e.slice(0,t-1).concat(e[t-1]/4)},t.repeatedTry=async function(e,t=(e=>0),n){return new Promise(((r,i)=>{let o=0;const a=()=>{if(e())return void r();o++;const 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i=this.gl,o=i.createTexture();i.bindTexture(i.TEXTURE_2D,o),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE);const a=r?n.encode(r,e*t):null;return i.texImage2D(i.TEXTURE_2D,0,n.internalFormat,e,t,0,n.format,n.textureType,a),this.checkError(),o}updateTexture(e,t,n,r,i){const o=this.gl;o.bindTexture(o.TEXTURE_2D,e);const a=r.encode(i,t*n);o.texSubImage2D(o.TEXTURE_2D,0,0,0,t,n,r.format,r.textureType,a),this.checkError()}attachFramebuffer(e,t,n){const r=this.gl;r.bindTexture(r.TEXTURE_2D,e),r.bindFramebuffer(r.FRAMEBUFFER,this.framebuffer),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,e,0),this.checkError(),r.viewport(0,0,t,n),r.scissor(0,0,t,n)}readTexture(e,t,n,r,i,o){const a=this.gl;o||(o=1),this.frameBufferBound||this.attachFramebuffer(e,t,n);const s=this.getEncoder(i,o),u=s.allocate(t*n);return a.bindTexture(a.TEXTURE_2D,e),a.framebufferTexture2D(a.FRAMEBUFFER,a.COLOR_ATTACHMENT0,a.TEXTURE_2D,e,0),a.readPixels(0,0,t,n,a.RGBA,s.textureType,u),this.checkError(),s.decode(u,r)}isFramebufferReady(){return!0}getActiveTexture(){const e=this.gl;return"TEXTURE"+(e.getParameter(this.gl.ACTIVE_TEXTURE)-e.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(e,t){const n=this.gl;n.vertexAttribPointer(e,3,n.FLOAT,!1,20,0),n.enableVertexAttribArray(e),-1!==t&&(n.vertexAttribPointer(t,2,n.FLOAT,!1,20,12),n.enableVertexAttribArray(t)),this.checkError()}createProgram(e,t){const n=this.gl,r=n.createProgram();return n.attachShader(r,e),n.attachShader(r,t),n.linkProgram(r),r}compileShader(e,t){const n=this.gl,r=n.createShader(t);if(!r)throw new Error(`createShader() returned null with type 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Error(n)}}deleteTexture(e){this.gl.deleteTexture(e)}deleteProgram(e){this.gl.deleteProgram(e)}getEncoder(e,t,n=0){if(2===this.version)return new s.RedFloat32DataEncoder(this.gl,t);switch(e){case"float":return 1===n||this.isRenderFloat32Supported?new s.RGBAFloatDataEncoder(this.gl,t):new s.RGBAFloatDataEncoder(this.gl,t,this.textureHalfFloatExtension.HALF_FLOAT_OES);case"int":throw new Error("not implemented");case"byte":return new s.Uint8DataEncoder(this.gl,t);default:throw new Error(`Invalid dataType: ${e}`)}}clearActiveTextures(){const e=this.gl;for(let t=0;t<this.maxTextureImageUnits;++t)e.activeTexture(e.TEXTURE0+t),e.bindTexture(e.TEXTURE_2D,null)}dispose(){if(this.disposed)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteFramebuffer(this.framebuffer),e.bindBuffer(e.ARRAY_BUFFER,null),e.deleteBuffer(this.vertexbuffer),e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null),e.finish(),this.disposed=!0}createDefaultGeometry(){return new 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supported");this.isBlendSupported=!this.isRenderFloat32Supported||this.checkFloat32Blend(),this.maxTextureSize=e.getParameter(e.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=e.getParameter(e.MAX_TEXTURE_IMAGE_UNITS),this.version}getExtensions(){2===this.version?(this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float"),this.disjointTimerQueryWebgl2Extension=this.gl.getExtension("EXT_disjoint_timer_query_webgl2")):(this.textureFloatExtension=this.gl.getExtension("OES_texture_float"),this.textureHalfFloatExtension=this.gl.getExtension("OES_texture_half_float"))}checkFloatTextureAttachableToFrameBuffer(){const e=this.gl,t=e.createTexture();e.bindTexture(e.TEXTURE_2D,t);const n=2===this.version?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,n,1,1,0,e.RGBA,e.FLOAT,null);const r=e.createFramebuffer();e.bindFramebuffer(e.FRAMEBUFFER,r),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0);const i=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(t),e.deleteFramebuffer(r),i}checkRenderFloat32(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else{if(!this.textureFloatExtension)return!1;if(!this.gl.getExtension("WEBGL_color_buffer_float"))return!1}return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){const e=this.gl;let t,n,r,i,o;try{t=e.createTexture(),n=e.createFramebuffer(),e.bindTexture(e.TEXTURE_2D,t);const a=2===this.version?e.RGBA32F:e.RGBA;return e.texImage2D(e.TEXTURE_2D,0,a,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),e.enable(e.BLEND),r=e.createShader(e.VERTEX_SHADER),!!r&&(e.shaderSource(r,"void main(){}"),e.compileShader(r),i=e.createShader(e.FRAGMENT_SHADER),!!i&&(e.shaderSource(i,"precision highp float;void main(){gl_FragColor=vec4(0.5);}"),e.compileShader(i),o=e.createProgram(),!!o&&(e.attachShader(o,r),e.attachShader(o,i),e.linkProgram(o),e.useProgram(o),e.drawArrays(e.POINTS,0,1),e.getError()===e.NO_ERROR)))}finally{e.disable(e.BLEND),o&&e.deleteProgram(o),r&&e.deleteShader(r),i&&e.deleteShader(i),n&&(e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteFramebuffer(n)),t&&(e.bindTexture(e.TEXTURE_2D,null),e.deleteTexture(t))}}beginTimer(){if(2===this.version&&this.disjointTimerQueryWebgl2Extension){const e=this.gl,t=this.disjointTimerQueryWebgl2Extension,n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}throw new Error("WebGL1 profiling currently not supported.")}endTimer(){if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const e=this.gl,t=this.disjointTimerQueryWebgl2Extension;e.endQuery(t.TIME_ELAPSED_EXT)}}isTimerResultAvailable(e){let t=!1,n=!1;if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const r=this.gl,i=this.disjointTimerQueryWebgl2Extension;t=r.getQueryParameter(e,r.QUERY_RESULT_AVAILABLE),n=r.getParameter(i.GPU_DISJOINT_EXT)}return t&&!n}getTimerResult(e){let t=0;if(2!==this.version)throw new Error("WebGL1 profiling currently not supported");{const n=this.gl;t=n.getQueryParameter(e,n.QUERY_RESULT),n.deleteQuery(e)}return t/1e6}async waitForQueryAndGetTime(e){return await(0,u.repeatedTry)((()=>this.isTimerResultAvailable(e))),this.getTimerResult(e)}async createAndWaitForFence(){const e=this.createFence(this.gl);return this.pollFence(e)}createFence(e){let t;const n=e,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);return e.flush(),t=null===r?()=>!0:()=>{const e=n.clientWaitSync(r,0,0);return e===n.ALREADY_SIGNALED||e===n.CONDITION_SATISFIED},{query:r,isFencePassed:t}}async pollFence(e){return new Promise((t=>{this.addItemToPoll((()=>e.isFencePassed()),(()=>t()))}))}pollItems(){const e=c(this.itemsToPoll.map((e=>e.isDoneFn)));for(let t=0;t<=e;++t){const{resolveFn:e}=this.itemsToPoll[t];e()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}async addItemToPoll(e,t){this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||await(0,u.repeatedTry)((()=>(this.pollItems(),0===this.itemsToPoll.length)))}}},6496:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.ExecutionPlan=void 0;const r=n(1315);class i{constructor(e,t){this.op=e,this.node=t}}t.ExecutionPlan=class{constructor(e,t,n){this.graph=e,this.profiler=n,this.initialize(t)}initialize(e){this.profiler.event("session","ExecutionPlan.initialize",(()=>{const t=this.graph.getNodes();if(t.length!==e.length)throw new Error("The size of nodes and OPs do not match.");this._ops=e.map(((e,n)=>new i(e,t[n]))),this.reset(),this._starter=[],this._ops.forEach(((e,t)=>{let n=!0;for(const t of e.node.inputs)if(!this._values[t]&&-1===this.graph.getInputIndices().indexOf(t)){n=!1;break}n&&this._starter.push(t)}))}))}reset(){this._values=this.graph.getValues().map((e=>e.tensor))}async execute(e,t){return this.profiler.event("session","ExecutionPlan.execute",(async()=>{this.reset();const n=e.createInferenceHandler(),i=this.graph.getInputIndices();if(t.length!==i.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${t.length} expected: ${i.length}`);t.forEach(((e,t)=>{const n=i[t];this._values[n]=e}));const o=this._starter.slice(0),a=this.graph.getValues(),s=this.graph.getNodes();let u=0;for(;u<o.length;){const e=o[u++],t=this._ops[e],i=t.node.inputs.map((e=>this._values[e]));if(-1!==i.indexOf(void 0))throw new Error(`unresolved input detected: op: ${t.node}`);const c=i;r.Logger.verbose("ExecPlan",`Runing op:${t.node.name} (${c.map(((e,n)=>`'${t.node.inputs[n]}': ${e.type}[${e.dims.join(",")}]`)).join(", ")})`);const l=await this.profiler.event("node",t.node.name,(async()=>t.op.impl(n,c,t.op.context)));if(l.length!==t.node.outputs.length)throw new Error("the size of output does not match model definition.");l.forEach(((e,n)=>{const r=t.node.outputs[n];if(this._values[r])throw new Error(`output [${r}] already has value: op:${t.node.name}`);this._values[r]=e}));const d=new Set;l.forEach(((e,n)=>{const r=t.node.outputs[n];for(const e of a[r].to){const t=s[e];let n=!0;for(const e of t.inputs)if(!this._values[e]){n=!1;break}n&&d.add(e)}})),o.push(...d)}const c=[];for(let e=0;e<this.graph.getOutputIndices().length;e++){const t=this.graph.getOutputIndices()[e],n=this._values[t];if(void 0===n)throw new Error(`required output [${t}] does not have value`);0===t?await n.getData():n.data,c.push(n)}return r.Logger.verbose("ExecPlan","disposing of inferenceHandler"),n.dispose(),c}))}}},4662:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.Graph=void 0;const r=n(1446),i=n(6874),o=n(1287),a=n(9240),s=n(7273);var u=o.onnxruntime.experimental.fbs;t.Graph={from:(e,t)=>new d(e,t)};class c{constructor(e){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,e&&(this.type=s.ProtoUtil.tensorValueTypeFromProto(e.type.tensorType))}get from(){return this._from}get to(){return this._to}}class l{constructor(e,t){e instanceof r.onnx.NodeProto?(this.name=e.name,this.opType=e.opType,this.attributes=new i.Attribute(e.attribute)):e instanceof u.Node&&(this.name=null!=t?t:e.name(),this.opType=e.opType(),this.attributes=new i.Attribute(s.ProtoUtil.tensorAttributesFromORTFormat(e))),this.inputs=[],this.outputs=[],this.executeNode=!0}}class d{constructor(e,t){if(!e)throw new TypeError("graph is empty");this.buildGraph(e),this.transformGraph(t),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(e){if(e instanceof r.onnx.GraphProto)this.buildGraphFromOnnxFormat(e);else{if(!(e instanceof u.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(e)}}buildGraphFromOnnxFormat(e){const t=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const n=new Map;if(!e.input)throw new Error("missing information in graph: input");const r=[];for(const n of e.input){if(t.has(n.name))throw new Error(`duplicated input name: ${n.name}`);const e=this._allData.push(new c(n))-1;t.set(n.name,e),r.push(n.name)}if(!e.initializer)throw new Error("missing information in graph: initializer");for(const n of e.initializer){let e=t.get(n.name);if(void 0===e){const r=new c;r.type={shape:{dims:s.ProtoUtil.tensorDimsFromProto(n.dims)},tensorType:s.ProtoUtil.tensorDataTypeFromProto(n.dataType)},e=this._allData.push(r)-1,t.set(n.name,e)}this._allData[e]._from=-1,this._allData[e].tensor=a.Tensor.fromProto(n)}for(let e=0;e<this._allData.length;e++)this._allData[e].tensor||(this._allInputIndices.push(e),this._allInputNames.push(r[e]));if(!e.output)throw new Error("missing information in graph: output");for(const n of e.output){if(t.has(n.name))throw new Error(`duplicated output name: ${n.name}`);const e=this._allData.push(new c(n))-1;t.set(n.name,e),this._allOutputIndices.push(e),this._allOutputNames.push(n.name)}if(!e.node)throw new Error("missing information in graph: node");for(const t of e.node){if(!t.name)for(let e=0;;e++){const r=`unnamed_${t.opType}_${e}`;if(!n.has(r)){t.name=r;break}}if(n.has(t.name))throw new Error(`duplicated node name: ${t.name}`);const e=this._nodes.push(new l(t))-1;n.set(t.name,e)}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=e.node[n];if(!i.output)throw new Error(`missing output for node: ${i.name}`);for(const e of i.output){let o=t.get(e);if(void 0===o&&(o=this._allData.push(new c)-1,t.set(e,o)),r.outputs.push(o),void 0!==this._allData[o]._from)throw new Error(`multiple nodes output to one data value: ${o}`);if(this._allData[o]._from=n,"Constant"===i.opType){if(!i.attribute||1!==i.attribute.length||!i.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!i.output||1!==i.output.length)throw new Error("missing output or incorrect number of outputs for this Constant operator");r.outputs.pop(),r.executeNode=!1,this._allData[o]._from=-1,this._allData[o].tensor=a.Tensor.fromProto(i.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=e.node[n];if(!i.input)throw new Error(`missing input for node: ${i.name}`);for(const e of i.input){const o=t.get(e);if(void 0===o){if(""===e&&3===i.input.length&&"Resize"===i.opType)continue;throw new Error(`unrecognized input '${e}' for node: ${i.name}`)}r.inputs.push(o),this._allData[o]._to.push(n)}}return!0}buildGraphFromOrtFormat(e){var t,n,r;const i=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const o=new Map,d=[];for(let o=0;o<e.inputsLength();o++){const a=e.inputs(o);if(i.has(a))throw new Error(`duplicated input name: ${a}`);for(let o=0;o<e.nodeArgsLength();o++)if((null===(t=e.nodeArgs(o))||void 0===t?void 0:t.name())===a){const t=new c;if((null===(r=null===(n=e.nodeArgs(o))||void 0===n?void 0:n.type())||void 0===r?void 0:r.valueType())!==u.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");const l=e.nodeArgs(o).type().value(new u.TensorTypeAndShape),p=s.ProtoUtil.tensorDataTypeFromProto(l.elemType()),f=l.shape(),h=[];for(let e=0;e<f.dimLength();e++)h.push(s.LongUtil.longToNumber(f.dim(e).value().dimValue()));t.type={shape:{dims:h},tensorType:p};const g=this._allData.push(t)-1;i.set(a,g),d.push(a)}}for(let t=0;t<e.initializersLength();t++){const n=e.initializers(t);let r=i.get(n.name());if(void 0===r){const e=new c,t=s.ProtoUtil.tensorDimsFromORTFormat(n),o=s.ProtoUtil.tensorDataTypeFromProto(n.dataType());e.type={shape:{dims:t},tensorType:o},r=this._allData.push(e)-1,i.set(n.name(),r)}this._allData[r]._from=-1,this._allData[r].tensor=a.Tensor.fromOrtTensor(n)}for(let e=0;e<this._allData.length;e++)this._allData[e].tensor||(this._allInputIndices.push(e),this._allInputNames.push(d[e]));for(let t=0;t<e.outputsLength();t++){const n=e.outputs(t);if(i.has(n))throw new Error(`duplicated output name: ${n}`);const r=this._allData.push(new c)-1;i.set(n,r),this._allOutputIndices.push(r),this._allOutputNames.push(n)}if(!e.nodes)throw new Error("missing information in graph: node");for(let t=0;t<e.nodesLength();t++){const n=e.nodes(t);let r=n.name();if(!r)for(let e=0;r=`unnamed_${n.opType()}_${e}`,o.has(r);e++);if(o.has(r))throw new Error(`duplicated node name: ${r}`);const i=this._nodes.push(new l(n,r))-1;o.set(r,i)}for(let t=0;t<this._nodes.length;t++){const n=this._nodes[t],r=e.nodes(t);if(null==r)throw new Error(`No node exists at index ${t}`);if(0===(null==r?void 0:r.outputsLength()))throw new Error(`missing output for node: ${r.name}`);for(let e=0;e<(null==r?void 0:r.outputsLength());e++){const o=null==r?void 0:r.outputs(e);let s=i.get(o);if(void 0===s&&(s=this._allData.push(new c)-1,i.set(o,s)),n.outputs.push(s),void 0!==this._allData[s]._from)throw new Error(`multiple nodes output to one data value: ${s}`);if(this._allData[s]._from=t,"Constant"===r.opType()){if(1!==r.attributesLength()||!r.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(1!==r.outputsLength())throw new Error("missing output or incorrect number of outputs for this Constant operator");n.outputs.pop(),n.executeNode=!1,this._allData[s]._from=-1,this._allData[s].tensor=a.Tensor.fromOrtTensor(r.attributes(0).t())}}}for(let t=0;t<this._nodes.length;t++){const n=this._nodes[t],r=e.nodes(t);if(0===r.inputsLength())throw new Error(`missing input for node: ${r.name}`);for(let e=0;e<r.inputsLength();e++){const o=r.inputs(e),a=i.get(o);if(void 0===a)throw new Error(`unrecognized input '${o}' for node: ${r.name()}`);n.inputs.push(a),this._allData[a]._to.push(t)}}}checkIsAcyclic(){const e=new Set;this._allInputIndices.forEach((t=>{this._allData[t]._to.forEach((t=>{e.add(t)}))}));const t=Array.from(e),n=new Array(this._nodes.length).fill("white");for(;t.length>0;){const e=t.pop();"gray"===n[e]?n[e]="black":(t.push(e),n[e]="gray",this._nodes[e].outputs.forEach((r=>{const i=this._allData[r];if(void 0!==i.tensor)throw new Error("node outputs should not be initialized");if(i._from!==e)throw new Error("from property of the Value object doesn't match index of Node being processed");i._to.forEach((e=>{if("gray"===n[e])throw new Error("model graph is cyclic");"white"===n[e]&&t.push(e)}))})))}}transformGraph(e){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),e&&e.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let e=0;const t=new Array(this._nodes.length,0);let n=0;for(let e=0;e<this._nodes.length;e++)t[e]=n,this._nodes[e].executeNode?(n!==e&&(this._nodes[n]=this._nodes[e]),n++):this._nodes[e].outputs.forEach((e=>{this._allData[e]._from=-2}));this._nodes.splice(n,this._nodes.length-n);for(let e=0;e<this._allData.length;e++){const n=this._allData[e];void 0!==n._from&&-1!==n._from&&-2!==n._from&&(n._from=t[n._from]);for(let e=0;e<n._to.length;e++){if(!(n._to[e]>=0))throw new Error("Trying to update a removed node");n._to[e]=t[n._to[e]]}}e=0;for(let t=0;t<this._allData.length;t++)if(-2!==this._allData[t].from||-1!==this._allOutputIndices.indexOf(t+e)){if(e>0){let n=-1;void 0!==this._allData[t].from&&-1!==this._allData[t].from?(n=this._nodes[this._allData[t].from].outputs.indexOf(t+e),-1!==n&&(this._nodes[this._allData[t].from].outputs[n]=t)):(n=this._allInputIndices.indexOf(t+e),-1!==n&&(this._allInputIndices[n]=t)),this._allData[t].to.forEach((r=>{n=this._nodes[r].inputs.indexOf(t+e),-1!==n&&(this._nodes[r].inputs[n]=t)})),0===this._allData[t].to.length&&(n=this._allOutputIndices.indexOf(t+e),-1!==n&&(this._allOutputIndices[n]=t))}}else e++,this._allData.splice(t,1),t--}deleteNode(e){const t=this._nodes[e];if(t.outputs.length>1)for(let e=1;e<t.outputs.length;e++)if(this._allData[t.outputs[e]].to.length>0)throw new Error("Node deletion with more than one output connected to other nodes is not supported. ");t.executeNode=!1;const n=t.inputs[0],r=t.outputs[0],i=this._allData[r].to;for(let n=0;n<t.inputs.length;n++){const r=this._allData[t.inputs[n]].to.indexOf(e);if(-1===r)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[t.inputs[n]].to.splice(r,1)}this._allData[r]._to=[];const o=this._allOutputIndices.indexOf(r);if(-1!==o&&(this._allOutputIndices[o]=n),i&&i.length>0)for(const e of i){const t=this._nodes[e].inputs.indexOf(r);if(-1===t)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[e].inputs[t]=n,this._allData[n].to.push(e)}}removeAllDropoutNodes(){let e=0;for(const t of this._nodes){if("Dropout"===t.opType){if(1!==t.inputs.length)throw new Error("Dropout nodes should only contain one input. ");if(1!==t.outputs.length&&2!==t.outputs.length)throw new Error("Dropout nodes should contain either 1 or 2 output(s)");if(2===t.outputs.length&&0!==this._allData[t.outputs[1]]._to.length)throw new Error("Dropout nodes's second output should not be referenced by other nodes");this.deleteNode(e)}e++}}removeAllIdentityNodes(){let e=0;for(const t of this._nodes)"Identity"===t.opType&&this.deleteNode(e),e++}isActivation(e){switch(e.opType){case"Relu":case"Sigmoid":case"Clip":return!0;default:return!1}}fuseConvActivationNodes(){for(const e of this._nodes)if("Conv"===e.opType){const t=this._allData[e.outputs[0]]._to;if(1===t.length&&this.isActivation(this._nodes[t[0]])){const n=this._nodes[t[0]];if("Clip"===n.opType)if(1===n.inputs.length)try{e.attributes.set("activation_params","floats",[n.attributes.getFloat("min"),n.attributes.getFloat("max")])}catch(t){e.attributes.set("activation_params","floats",[s.MIN_CLIP,s.MAX_CLIP])}else{if(!(n.inputs.length>=3&&void 0!==this._allData[n.inputs[1]].tensor&&void 0!==this._allData[n.inputs[2]].tensor))continue;e.attributes.set("activation_params","floats",[this._allData[n.inputs[1]].tensor.floatData[0],this._allData[n.inputs[2]].tensor.floatData[0]])}e.attributes.set("activation","string",n.opType),this.deleteNode(t[0])}}}}},1315:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.now=t.Profiler=t.Logger=void 0;const n={verbose:1e3,info:2e3,warning:4e3,error:5e3,fatal:6e3},r={none:new class{log(e,t,n){}},console:new class{log(e,t,n){console.log(`${this.color(e)} ${n?""+n+" ":""}${t}`)}color(e){switch(e){case"verbose":return"v";case"info":return"i";case"warning":return"w";case"error":return"e";case"fatal":return"f";default:throw new Error(`unsupported severity: ${e}`)}}}},i={provider:"console",minimalSeverity:"warning",logDateTime:!0,logSourceLocation:!1};let o={"":i};function a(e,t,n,r){if(void 0===t)return 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e=this.bb.__offset(this.bb_pos,8);return e?this.bb.__vector_len(this.bb_pos+e):0}maxNodeIndex(){let e=this.bb.__offset(this.bb_pos,10);return e?this.bb.readUint32(this.bb_pos+e):0}nodeEdges(t,n){let r=this.bb.__offset(this.bb_pos,12);return r?(n||new e.experimental.fbs.NodeEdge).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*t),this.bb):null}nodeEdgesLength(){let e=this.bb.__offset(this.bb_pos,12);return e?this.bb.__vector_len(this.bb_pos+e):0}inputs(e,t){let n=this.bb.__offset(this.bb_pos,14);return n?this.bb.__string(this.bb.__vector(this.bb_pos+n)+4*e,t):null}inputsLength(){let e=this.bb.__offset(this.bb_pos,14);return e?this.bb.__vector_len(this.bb_pos+e):0}outputs(e,t){let n=this.bb.__offset(this.bb_pos,16);return n?this.bb.__string(this.bb.__vector(this.bb_pos+n)+4*e,t):null}outputsLength(){let e=this.bb.__offset(this.bb_pos,16);return e?this.bb.__vector_len(this.bb_pos+e):0}sparseInitializers(t,n){let r=this.bb.__offset(this.bb_pos,18);return r?(n||new 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addMaxNodeIndex(e,t){e.addFieldInt32(3,t,0)}static addNodeEdges(e,t){e.addFieldOffset(4,t,0)}static createNodeEdgesVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startNodeEdgesVector(e,t){e.startVector(4,t,4)}static addInputs(e,t){e.addFieldOffset(5,t,0)}static createInputsVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startInputsVector(e,t){e.startVector(4,t,4)}static addOutputs(e,t){e.addFieldOffset(6,t,0)}static createOutputsVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startOutputsVector(e,t){e.startVector(4,t,4)}static addSparseInitializers(e,t){e.addFieldOffset(7,t,0)}static createSparseInitializersVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startSparseInitializersVector(e,t){e.startVector(4,t,4)}static endGraph(e){return e.endObject()}static createGraph(e,t,r,i,o,a,s,u,c){return n.startGraph(e),n.addInitializers(e,t),n.addNodeArgs(e,r),n.addNodes(e,i),n.addMaxNodeIndex(e,o),n.addNodeEdges(e,a),n.addInputs(e,s),n.addOutputs(e,u),n.addSparseInitializers(e,c),n.endGraph(e)}}t.Graph=n}(t.fbs||(t.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(e){!function(t){!function(t){class n{constructor(){this.bb=null,this.bb_pos=0}__init(e,t){return this.bb_pos=e,this.bb=t,this}static getRootAsModel(e,t){return(t||new n).__init(e.readInt32(e.position())+e.position(),e)}static getSizePrefixedRootAsModel(e,t){return e.setPosition(e.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(t||new n).__init(e.readInt32(e.position())+e.position(),e)}irVersion(){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.readInt64(this.bb_pos+e):this.bb.createLong(0,0)}opsetImport(t,n){let r=this.bb.__offset(this.bb_pos,6);return r?(n||new e.experimental.fbs.OperatorSetId).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*t),this.bb):null}opsetImportLength(){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__vector_len(this.bb_pos+e):0}producerName(e){let t=this.bb.__offset(this.bb_pos,8);return t?this.bb.__string(this.bb_pos+t,e):null}producerVersion(e){let t=this.bb.__offset(this.bb_pos,10);return t?this.bb.__string(this.bb_pos+t,e):null}domain(e){let t=this.bb.__offset(this.bb_pos,12);return t?this.bb.__string(this.bb_pos+t,e):null}modelVersion(){let e=this.bb.__offset(this.bb_pos,14);return e?this.bb.readInt64(this.bb_pos+e):this.bb.createLong(0,0)}docString(e){let t=this.bb.__offset(this.bb_pos,16);return t?this.bb.__string(this.bb_pos+t,e):null}graph(t){let n=this.bb.__offset(this.bb_pos,18);return n?(t||new e.experimental.fbs.Graph).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}graphDocString(e){let t=this.bb.__offset(this.bb_pos,20);return t?this.bb.__string(this.bb_pos+t,e):null}static startModel(e){e.startObject(9)}static addIrVersion(e,t){e.addFieldInt64(0,t,e.createLong(0,0))}static addOpsetImport(e,t){e.addFieldOffset(1,t,0)}static createOpsetImportVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startOpsetImportVector(e,t){e.startVector(4,t,4)}static addProducerName(e,t){e.addFieldOffset(2,t,0)}static addProducerVersion(e,t){e.addFieldOffset(3,t,0)}static addDomain(e,t){e.addFieldOffset(4,t,0)}static addModelVersion(e,t){e.addFieldInt64(5,t,e.createLong(0,0))}static addDocString(e,t){e.addFieldOffset(6,t,0)}static addGraph(e,t){e.addFieldOffset(7,t,0)}static addGraphDocString(e,t){e.addFieldOffset(8,t,0)}static endModel(e){return e.endObject()}static createModel(e,t,r,i,o,a,s,u,c,l){return n.startModel(e),n.addIrVersion(e,t),n.addOpsetImport(e,r),n.addProducerName(e,i),n.addProducerVersion(e,o),n.addDomain(e,a),n.addModelVersion(e,s),n.addDocString(e,u),n.addGraph(e,c),n.addGraphDocString(e,l),n.endModel(e)}}t.Model=n}(t.fbs||(t.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(e){!function(e){!function(e){class t{constructor(){this.bb=null,this.bb_pos=0}__init(e,t){return this.bb_pos=e,this.bb=t,this}static getRootAsKernelCreateInfos(e,n){return(n||new t).__init(e.readInt32(e.position())+e.position(),e)}static getSizePrefixedRootAsKernelCreateInfos(e,n){return e.setPosition(e.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(n||new t).__init(e.readInt32(e.position())+e.position(),e)}nodeIndices(e){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readUint32(this.bb.__vector(this.bb_pos+t)+4*e):0}nodeIndicesLength(){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__vector_len(this.bb_pos+e):0}nodeIndicesArray(){let e=this.bb.__offset(this.bb_pos,4);return e?new Uint32Array(this.bb.bytes().buffer,this.bb.bytes().byteOffset+this.bb.__vector(this.bb_pos+e),this.bb.__vector_len(this.bb_pos+e)):null}kernelDefHashes(e){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.readUint64(this.bb.__vector(this.bb_pos+t)+8*e):this.bb.createLong(0,0)}kernelDefHashesLength(){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__vector_len(this.bb_pos+e):0}static startKernelCreateInfos(e){e.startObject(2)}static addNodeIndices(e,t){e.addFieldOffset(0,t,0)}static createNodeIndicesVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addInt32(t[n]);return e.endVector()}static startNodeIndicesVector(e,t){e.startVector(4,t,4)}static addKernelDefHashes(e,t){e.addFieldOffset(1,t,0)}static createKernelDefHashesVector(e,t){e.startVector(8,t.length,8);for(let n=t.length-1;n>=0;n--)e.addInt64(t[n]);return e.endVector()}static startKernelDefHashesVector(e,t){e.startVector(8,t,8)}static endKernelCreateInfos(e){return e.endObject()}static createKernelCreateInfos(e,n,r){return t.startKernelCreateInfos(e),t.addNodeIndices(e,n),t.addKernelDefHashes(e,r),t.endKernelCreateInfos(e)}}e.KernelCreateInfos=t}(e.fbs||(e.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(e){!function(t){!function(t){class n{constructor(){this.bb=null,this.bb_pos=0}__init(e,t){return this.bb_pos=e,this.bb=t,this}static getRootAsSubGraphSessionState(e,t){return(t||new n).__init(e.readInt32(e.position())+e.position(),e)}static getSizePrefixedRootAsSubGraphSessionState(e,t){return e.setPosition(e.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(t||new n).__init(e.readInt32(e.position())+e.position(),e)}graphId(e){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.__string(this.bb_pos+t,e):null}sessionState(t){let n=this.bb.__offset(this.bb_pos,6);return n?(t||new e.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startSubGraphSessionState(e){e.startObject(2)}static addGraphId(e,t){e.addFieldOffset(0,t,0)}static addSessionState(e,t){e.addFieldOffset(1,t,0)}static endSubGraphSessionState(e){let t=e.endObject();return e.requiredField(t,4),t}static createSubGraphSessionState(e,t,r){return n.startSubGraphSessionState(e),n.addGraphId(e,t),n.addSessionState(e,r),n.endSubGraphSessionState(e)}}t.SubGraphSessionState=n}(t.fbs||(t.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(e){!function(t){!function(t){class n{constructor(){this.bb=null,this.bb_pos=0}__init(e,t){return this.bb_pos=e,this.bb=t,this}static getRootAsSessionState(e,t){return(t||new n).__init(e.readInt32(e.position())+e.position(),e)}static getSizePrefixedRootAsSessionState(e,t){return e.setPosition(e.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(t||new n).__init(e.readInt32(e.position())+e.position(),e)}kernels(t){let n=this.bb.__offset(this.bb_pos,4);return n?(t||new e.experimental.fbs.KernelCreateInfos).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}subGraphSessionStates(t,n){let r=this.bb.__offset(this.bb_pos,6);return r?(n||new e.experimental.fbs.SubGraphSessionState).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*t),this.bb):null}subGraphSessionStatesLength(){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__vector_len(this.bb_pos+e):0}static startSessionState(e){e.startObject(2)}static addKernels(e,t){e.addFieldOffset(0,t,0)}static addSubGraphSessionStates(e,t){e.addFieldOffset(1,t,0)}static createSubGraphSessionStatesVector(e,t){e.startVector(4,t.length,4);for(let n=t.length-1;n>=0;n--)e.addOffset(t[n]);return e.endVector()}static startSubGraphSessionStatesVector(e,t){e.startVector(4,t,4)}static endSessionState(e){return e.endObject()}static createSessionState(e,t,r){return n.startSessionState(e),n.addKernels(e,t),n.addSubGraphSessionStates(e,r),n.endSessionState(e)}}t.SessionState=n}(t.fbs||(t.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(e){!function(t){!function(t){class n{constructor(){this.bb=null,this.bb_pos=0}__init(e,t){return this.bb_pos=e,this.bb=t,this}static getRootAsInferenceSession(e,t){return(t||new n).__init(e.readInt32(e.position())+e.position(),e)}static getSizePrefixedRootAsInferenceSession(e,t){return e.setPosition(e.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(t||new n).__init(e.readInt32(e.position())+e.position(),e)}static bufferHasIdentifier(e){return e.__has_identifier("ORTM")}ortVersion(e){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.__string(this.bb_pos+t,e):null}model(t){let n=this.bb.__offset(this.bb_pos,6);return n?(t||new e.experimental.fbs.Model).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}sessionState(t){let n=this.bb.__offset(this.bb_pos,8);return n?(t||new e.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startInferenceSession(e){e.startObject(3)}static addOrtVersion(e,t){e.addFieldOffset(0,t,0)}static addModel(e,t){e.addFieldOffset(1,t,0)}static addSessionState(e,t){e.addFieldOffset(2,t,0)}static endInferenceSession(e){return e.endObject()}static finishInferenceSessionBuffer(e,t){e.finish(t,"ORTM")}static finishSizePrefixedInferenceSessionBuffer(e,t){e.finish(t,"ORTM",!0)}static createInferenceSession(e,t,r,i){return n.startInferenceSession(e),n.addOrtVersion(e,t),n.addModel(e,r),n.addSessionState(e,i),n.endInferenceSession(e)}}t.InferenceSession=n}(t.fbs||(t.fbs={}))}(e.experimental||(e.experimental={}))}(t.onnxruntime||(t.onnxruntime={}))},1723:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.OnnxjsSessionHandler=void 0;const r=n(8453),i=n(9240);t.OnnxjsSessionHandler=class{constructor(e){this.session=e,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(e,t,n){const o=new Map;for(const t in e)if(Object.hasOwnProperty.call(e,t)){const n=e[t];o.set(t,new i.Tensor(n.dims,n.type,void 0,void 0,n.data))}const a=await this.session.run(o),s={};return a.forEach(((e,t)=>{s[t]=new r.Tensor(e.type,e.data,e.dims)})),s}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6027:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.Session=void 0;const r=n(7067),i=n(1296),o=n(1975),a=n(6496),s=n(1315),u=n(1745);t.Session=class{constructor(e={}){this._initialized=!1,this.backendHint=e.backendHint,this.profiler=s.Profiler.create(e.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(e,t,n){await this.profiler.event("session","Session.loadModel",(async()=>{const a=await(0,o.resolveBackend)(this.backendHint);if(this.sessionHandler=a.createSessionHandler(this.context),this._model=new u.Model,"string"==typeof e){const t=e.endsWith(".ort");if("undefined"==typeof fetch){const n=await(0,i.promisify)(r.readFile)(e);this.initialize(n,t)}else{const n=await fetch(e),r=await n.arrayBuffer();this.initialize(new Uint8Array(r),t)}}else if(ArrayBuffer.isView(e))this.initialize(e);else{const r=new Uint8Array(e,t||0,n||e.byteLength);this.initialize(r)}}))}initialize(e,t){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",(()=>{const n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(e,n,t),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new a.ExecutionPlan(this._model.graph,this._ops,this.profiler)})),this._initialized=!0}async run(e){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",(async()=>{const t=this.normalizeAndValidateInputs(e),n=await this._executionPlan.execute(this.sessionHandler,t);return this.createOutput(n)}))}normalizeAndValidateInputs(e){const t=this._model.graph.getInputNames();if(Array.isArray(e)){if(e.length!==t.length)throw new Error(`incorrect input array length: expected ${t.length} but got ${e.length}`)}else{if(e.size!==t.length)throw new Error(`incorrect input map size: expected ${t.length} but got ${e.size}`);const n=new Array(e.size);let r=0;for(let i=0;i<t.length;++i){const o=e.get(t[i]);if(!o)throw new Error(`missing input tensor for: '${name}'`);n[r++]=o}e=n}if(this.context.graphInputTypes&&0!==this.context.graphInputTypes.length&&this.context.graphInputDims&&0!==this.context.graphInputDims.length)this.validateInputTensorDims(this.context.graphInputDims,e,!1);else{const t=this._model.graph.getInputIndices(),n=this._model.graph.getValues(),r=new Array(t.length);for(let i=0;i<t.length;++i){const o=n[t[i]];r[i]=o.type.shape.dims,this.context.graphInputTypes.push(o.type.tensorType),this.context.graphInputDims.push(e[i].dims)}this.validateInputTensorDims(r,e,!0)}return this.validateInputTensorTypes(this.context.graphInputTypes,e),e}validateInputTensorTypes(e,t){for(let n=0;n<t.length;n++){const r=e[n],i=t[n].type;if(r!==i)throw new Error(`input tensor[${n}] check failed: expected type '${r}' but got ${i}`)}}validateInputTensorDims(e,t,n){for(let r=0;r<t.length;r++){const i=e[r],o=t[r].dims;if(!this.compareTensorDims(i,o,n))throw new Error(`input tensor[${r}] check failed: expected shape '[${i.join(",")}]' but got [${o.join(",")}]`)}}compareTensorDims(e,t,n){if(e.length!==t.length)return!1;for(let r=0;r<e.length;++r)if(e[r]!==t[r]&&(!n||0!==e[r]))return!1;return!0}createOutput(e){const t=this._model.graph.getOutputNames();if(e.length!==t.length)throw new Error("expected number of outputs do not match number of generated outputs");const n=new Map;for(let r=0;r<t.length;++r)n.set(t[r],e[r]);return n}initializeOps(e){const t=e.getNodes();this._ops=new Array(t.length);for(let n=0;n<t.length;n++)this._ops[n]=this.sessionHandler.resolve(t[n],this._model.opsets,e)}}},9240:function(e,t,n){"use strict";var r=this&&this.__importDefault||function(e){return e&&e.__esModule?e:{default:e}};Object.defineProperty(t,"__esModule",{value:!0}),t.Tensor=void 0;const i=n(3442),o=r(n(3720)),a=n(1446),s=n(1287),u=n(7273);var c=s.onnxruntime.experimental.fbs;class l{get data(){if(void 0===this.cache){const e=this.dataProvider(this.dataId);if(e.length!==this.size)throw new Error("Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.");this.cache=e}return this.cache}get stringData(){if("string"!==this.type)throw new TypeError("data type is not string");return this.data}get integerData(){switch(this.type){case"uint8":case"int8":case"uint16":case"int16":case"int32":case"uint32":case"bool":return this.data;default:throw new TypeError("data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)")}}get floatData(){switch(this.type){case"float32":case"float64":return this.data;default:throw new TypeError("data type is not float (float32, float64)")}}get numberData(){if("string"!==this.type)return this.data;throw new TypeError("type cannot be non-number (string)")}get(e){return this.data[u.ShapeUtil.indicesToOffset(e,this.strides)]}set(e,t){this.data[u.ShapeUtil.indicesToOffset(e,this.strides)]=t}async getData(){return void 0===this.cache&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=u.ShapeUtil.computeStrides(this.dims)),this._strides}constructor(e,t,n,r,o,a=i.Guid.create()){this.dims=e,this.type=t,this.dataProvider=n,this.asyncDataProvider=r,this.cache=o,this.dataId=a,this.size=u.ShapeUtil.validateDimsAndCalcSize(e);const s=this.size,c=void 0===n&&void 0===r&&void 0===o;if(void 0!==o&&o.length!==s)throw new RangeError("Input dims doesn't match data length.");if("string"===t){if(!(void 0===o||Array.isArray(o)&&o.every((e=>"string"==typeof e))))throw new TypeError("cache should be a string array");c&&(this.cache=new Array(s))}else{if(void 0!==o){const e=p(t);if(!(o instanceof e))throw new TypeError(`cache should be type ${e.name}`)}if(c){const e=new ArrayBuffer(s*function(e){switch(e){case"bool":case"int8":case"uint8":return 1;case"int16":case"uint16":return 2;case"int32":case"uint32":case"float32":return 4;case"float64":return 8;default:throw new Error(`cannot calculate sizeof() on type ${e}`)}}(t));this.cache=function(e,t){return new(p(t))(e)}(e,t)}}}static fromProto(e){if(!e)throw new Error("cannot construct Value from an empty tensor");const t=u.ProtoUtil.tensorDataTypeFromProto(e.dataType),n=u.ProtoUtil.tensorDimsFromProto(e.dims),r=new l(n,t);if("string"===t)e.stringData.forEach(((e,t)=>{r.data[t]=(0,u.decodeUtf8String)(e)}));else if(e.rawData&&"number"==typeof e.rawData.byteLength&&e.rawData.byteLength>0){const t=r.data,n=new DataView(e.rawData.buffer,e.rawData.byteOffset,e.rawData.byteLength),i=d(e.dataType),o=e.rawData.byteLength/i;if(e.rawData.byteLength%i!=0)throw new Error("invalid buffer length");if(t.length!==o)throw new Error("buffer length mismatch");for(let r=0;r<o;r++){const o=h(n,e.dataType,r*i);t[r]=o}}else{let t;switch(e.dataType){case a.onnx.TensorProto.DataType.FLOAT:t=e.floatData;break;case a.onnx.TensorProto.DataType.INT32:case a.onnx.TensorProto.DataType.INT16:case a.onnx.TensorProto.DataType.UINT16:case a.onnx.TensorProto.DataType.INT8:case a.onnx.TensorProto.DataType.UINT8:case a.onnx.TensorProto.DataType.BOOL:t=e.int32Data;break;case a.onnx.TensorProto.DataType.INT64:t=e.int64Data;break;case a.onnx.TensorProto.DataType.DOUBLE:t=e.doubleData;break;case a.onnx.TensorProto.DataType.UINT32:case a.onnx.TensorProto.DataType.UINT64:t=e.uint64Data;break;default:throw new Error("unspecific error")}if(null==t)throw new Error("failed to populate data from a tensorproto value");const n=r.data;if(n.length!==t.length)throw new Error("array length mismatch");for(let r=0;r<t.length;r++){const i=t[r];o.default.isLong(i)?n[r]=f(i,e.dataType):n[r]=i}}return r}static fromData(e,t,n){return new l(t,n,void 0,void 0,e)}static fromOrtTensor(e){if(!e)throw new Error("cannot construct Value from an empty tensor");const t=u.ProtoUtil.tensorDimsFromORTFormat(e),n=u.ProtoUtil.tensorDataTypeFromProto(e.dataType()),r=new l(t,n);if("string"===n)for(let t=0;t<e.stringDataLength();t++)r.data[t]=e.stringData(t);else if(e.rawDataArray()&&"number"==typeof e.rawDataLength()&&e.rawDataLength()>0){const t=r.data,n=new DataView(e.rawDataArray().buffer,e.rawDataArray().byteOffset,e.rawDataLength()),i=d(e.dataType()),o=e.rawDataLength()/i;if(e.rawDataLength()%i!=0)throw new Error("invalid buffer length");if(t.length!==o)throw new Error("buffer length mismatch");for(let r=0;r<o;r++){const o=h(n,e.dataType(),r*i);t[r]=o}}return r}}function d(e){switch(e){case a.onnx.TensorProto.DataType.UINT8:case a.onnx.TensorProto.DataType.INT8:case a.onnx.TensorProto.DataType.BOOL:return 1;case a.onnx.TensorProto.DataType.UINT16:case a.onnx.TensorProto.DataType.INT16:return 2;case a.onnx.TensorProto.DataType.FLOAT:case a.onnx.TensorProto.DataType.INT32:case a.onnx.TensorProto.DataType.UINT32:return 4;case a.onnx.TensorProto.DataType.INT64:case a.onnx.TensorProto.DataType.DOUBLE:case a.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${a.onnx.TensorProto.DataType[e]}`)}}function p(e){switch(e){case"bool":case"uint8":return Uint8Array;case"int8":return Int8Array;case"int16":return Int16Array;case"uint16":return Uint16Array;case"int32":return Int32Array;case"uint32":return Uint32Array;case"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function f(e,t){if(t===a.onnx.TensorProto.DataType.INT64||t===c.TensorDataType.INT64){if(e.greaterThanOrEqual(2147483648)||e.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else{if(t!==a.onnx.TensorProto.DataType.UINT32&&t!==c.TensorDataType.UINT32&&t!==a.onnx.TensorProto.DataType.UINT64&&t!==c.TensorDataType.UINT64)throw new TypeError(`not a LONG type: ${a.onnx.TensorProto.DataType[t]}`);if(e.greaterThanOrEqual(4294967296)||e.lessThan(0))throw new TypeError("uint64 is not supported")}return e.toNumber()}function h(e,t,n){switch(t){case a.onnx.TensorProto.DataType.BOOL:case a.onnx.TensorProto.DataType.UINT8:return e.getUint8(n);case a.onnx.TensorProto.DataType.INT8:return e.getInt8(n);case a.onnx.TensorProto.DataType.UINT16:return e.getUint16(n,!0);case a.onnx.TensorProto.DataType.INT16:return e.getInt16(n,!0);case a.onnx.TensorProto.DataType.FLOAT:return e.getFloat32(n,!0);case a.onnx.TensorProto.DataType.INT32:return e.getInt32(n,!0);case a.onnx.TensorProto.DataType.UINT32:return e.getUint32(n,!0);case a.onnx.TensorProto.DataType.INT64:return f(o.default.fromBits(e.getUint32(n,!0),e.getUint32(n+4,!0),!1),t);case a.onnx.TensorProto.DataType.DOUBLE:return e.getFloat64(n,!0);case a.onnx.TensorProto.DataType.UINT64:return f(o.default.fromBits(e.getUint32(n,!0),e.getUint32(n+4,!0),!0),t);default:throw new Error(`cannot read from DataView for type ${a.onnx.TensorProto.DataType[t]}`)}}t.Tensor=l},7273:function(e,t,n){"use strict";var r=this&&this.__importDefault||function(e){return e&&e.__esModule?e:{default:e}};Object.defineProperty(t,"__esModule",{value:!0}),t.decodeUtf8String=t.MAX_CLIP=t.MIN_CLIP=t.PoolConvUtil=t.ReduceUtil=t.SplitUtil=t.MathUtil=t.ShapeUtil=t.LongUtil=t.ProtoUtil=t.GemmUtil=t.arrayCopyHelper=t.BroadcastUtil=t.MatMulUtil=t.ArrayUtil=t.assert=t.checkInputsShape=void 0;const i=n(5686),o=r(n(3720)),a=n(1446),s=n(9240);t.checkInputsShape=function(e,...t){if(!e||e.length!==t.length)return!1;for(let n=0;n<e.length;n++)if(!e[n].dims||e[n].dims.length!==t[n])return!1;return!0},t.assert=function(e,t){if(!e)throw new Error("string"==typeof t?t:t())},t.ArrayUtil=class{static arraysEqual(e,t){if(e.length!==t.length)return!1;for(let n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}};class u{static preprocessInputShapes(e,t){return[1===e.length?[1,e[0]]:e,1===t.length?[t[0],1]:t]}static postprocessOutputShape(e,t,n){1===t&&e.splice(e.length-2,1),1===n&&e.pop()}static calcMatMulShape(e,t){return e[1]!==t[0]?void 0:[e[0],t[1]]}}t.MatMulUtil=u;class c{static calcShape(e,t,n=!1){const r=e.length,i=t.length;if(0===r)return t;if(0===i)return e;const o=Math.max(e.length,t.length),a=new Array(o);if(n){if(r<2||i<2)return;const n=u.calcMatMulShape([e[r-2],e[r-1]],[t[i-2],t[i-1]]);if(void 0===n)return;[a[o-2],a[o-1]]=n}for(let s=n?3:1;s<=o;s++){const n=r-s<0?1:e[r-s],u=i-s<0?1:t[i-s];if(n!==u&&n>1&&u>1)return;a[o-s]=Math.max(n,u)}return a}static index(e,t){const n=new Array(t.length);return c.fillIndex(e,t,n),n}static fillIndex(e,t,n){const r=e.length-t.length;for(let i=0;i<t.length;i++)n[i]=e[r+i]%t[i]}static calc(e,t,n,r,i){const o=c.calcShape(e.dims,t.dims);if(o){if(r&&!p.areEqual(o,e.dims))return;const a=p.size(o),u=r?e:new s.Tensor(o,i||e.type);if(0===o.length)u.set([],n(e.get([]),t.get([])));else{const r=new Array(o.length),i=new Array(e.dims.length),s=new Array(t.dims.length);let l,d=0,p=0,f=!1,h=!1;0===e.dims.length&&(d=e.get([]),f=!0),0===t.dims.length&&(p=t.get([]),h=!0);for(let g=0;g<a;g++){l=g;for(let e=o.length-1;e>=0;e--)r[e]=l%o[e],l=Math.floor(l/o[e]);f||(c.fillIndex(r,e.dims,i),d=e.get(i)),h||(c.fillIndex(r,t.dims,s),p=t.get(s)),u.set(r,n(d,p))}}return u}}static isValidBroadcast(e,t){const n=e.length,r=t.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==e[n-i]&&e[n-i]!==t[r-i])return!1;return!0}static getBroadcastDims(e,t){const n=e.length,r=[];for(let i=0;i<n;i++){const o=n-1-i,a=e[o]||1;(t[t.length-1-i]||1)>1&&1===a&&r.unshift(o)}return r}}t.BroadcastUtil=c,t.arrayCopyHelper=function(e,t,n,r,i){if(r<0||r>=t.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=e.length)throw new Error("targetIndex out of bounds");if(r+i>t.length)throw new Error("source indices to be copied are outside bounds");if(n+i>e.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)e[n+o]=t[r+o]},t.GemmUtil=class{static getShapeOfGemmResult(e,t,n,r,i){if(2!==e.length||2!==n.length)throw new Error("shape need to be of size 2");let o,a,s;t?(o=e[1],a=e[0]):(o=e[0],a=e[1]);let u=-1;if(r?(s=n[0],u=1):(s=n[1],u=0),n[u]!==a)throw new Error("dimension mismatch");if(o<=0||s<=0||a<=0)throw new Error("invalid shape specified");if(i&&!c.isValidBroadcast(i,[o,s]))throw new Error("gemm: invalid bias shape for broadcast");return[o,s,a]}};class l{static tensorDataTypeFromProto(e){switch(e){case a.onnx.TensorProto.DataType.INT8:return"int8";case a.onnx.TensorProto.DataType.UINT8:return"uint8";case a.onnx.TensorProto.DataType.BOOL:return"bool";case a.onnx.TensorProto.DataType.INT16:return"int16";case a.onnx.TensorProto.DataType.UINT16:return"uint16";case a.onnx.TensorProto.DataType.INT32:return"int32";case a.onnx.TensorProto.DataType.UINT32:return"uint32";case a.onnx.TensorProto.DataType.FLOAT:return"float32";case a.onnx.TensorProto.DataType.DOUBLE:return"float64";case a.onnx.TensorProto.DataType.STRING:return"string";case a.onnx.TensorProto.DataType.INT64:return"int32";case a.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${a.onnx.TensorProto.DataType[e]}`)}}static tensorDataTypeStringToEnum(e){switch(e){case"int8":return a.onnx.TensorProto.DataType.INT8;case"uint8":return a.onnx.TensorProto.DataType.UINT8;case"bool":return a.onnx.TensorProto.DataType.BOOL;case"int16":return a.onnx.TensorProto.DataType.INT16;case"uint16":return a.onnx.TensorProto.DataType.UINT16;case"int32":return a.onnx.TensorProto.DataType.INT32;case"uint32":return a.onnx.TensorProto.DataType.UINT32;case"float32":return a.onnx.TensorProto.DataType.FLOAT;case"float64":return a.onnx.TensorProto.DataType.DOUBLE;case"string":return a.onnx.TensorProto.DataType.STRING;case"int64":return a.onnx.TensorProto.DataType.INT64;case"uint64":return a.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${e}`)}}static tensorDimsFromProto(e){return e.map((e=>o.default.isLong(e)?e.toNumber():e))}static tensorValueTypeFromProto(e){return{tensorType:l.tensorDataTypeFromProto(e.elemType),shape:{dims:l.tensorDimsFromProto(e.shape.dim.map((e=>e.dimValue)))}}}static tensorDimsFromORTFormat(e){const t=[];for(let n=0;n<e.dimsLength();n++)t.push(d.longToNumber(e.dims(n)));return t}static tensorAttributesFromORTFormat(e){const t=[];for(let n=0;n<e.attributesLength();n++)t.push(e.attributes(n));return t}}t.ProtoUtil=l;class d{static longToNumber(e,t){return o.default.isLong(e)?e.toNumber():e instanceof i.flatbuffers.Long?o.default.fromValue({low:e.low,high:e.high,unsigned:null!=t&&t}).toNumber():e}static isLong(e){return o.default.isLong(e)||e instanceof i.flatbuffers.Long}}t.LongUtil=d;class p{static size(e){return p.getSizeFromDimensionRange(e,0,e.length)}static sizeFromDimension(e,t){if(t<0||t>e.length)throw new Error(`invalid dimension of ${t} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return p.getSizeFromDimensionRange(e,t,e.length)}static sizeToDimension(e,t){if(t<0||t>e.length)throw new Error(`invalid dimension of ${t} for sizeToDimension as Tensor has ${e.length} dimensions.`);return p.getSizeFromDimensionRange(e,0,t)}static getSizeFromDimensionRange(e,t,n){let r=1;for(let i=t;i<n;i++){if(e[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=e[i]}return r}static computeStrides(e){const t=e.length;if(0===t)return[];if(1===t)return[1];const n=new Array(t);n[t-1]=1,n[t-2]=e[t-1];for(let r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}static transpose(e){return e.slice().reverse()}static indicesToOffset(e,t,n){void 0===n&&(n=e.length);let r=0;for(let i=0;i<n;++i)r+=t[i]*e[i];return r}static offsetToIndices(e,t){const n=t.length;if(0===n)return[];if(1===n)return[e*t[0]];const r=new Array(t.length);for(let n=0;n<r.length-1;++n)r[n]=Math.floor(e/t[n]),e-=r[n]*t[n];return r[r.length-1]=e,r}static normalizeAxis(e,t){if(e<-t&&e>=t)throw new Error("unsupported axis for this operation.");return e<0?e+t:e}static normalizeAxes(e,t){return e.map((e=>this.normalizeAxis(e,t)))}static incrementIndex(e,t,n){if(0===t.length||0===e.length)throw new Error("Index incrementing unsupported for scalar Tensor");if(void 0===n)n=t.length;else if(n<=0||n>t.length)throw new Error("Incorrect axis to increment on");for(let r=n-1;r>=0&&(e[r]++,!(e[r]<t[r]));--r)e[r]=0}static calculateReshapedDims(e,t){if(0===t.length){if(0===e.length||1===p.size(e))return[];throw new Error("cannot reshape to a scalar Tensor")}const n=t.length,r=new Array(n);let i=-1,o=1;for(let a=0;a<n;a++){if(t[a]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(-1===t[a]){if(-1!==i)throw new Error("at most one dimension in shape hints can be -1");i=a}else{if(0===t[a]){if(a>=e.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");r[a]=e[a]}else r[a]=t[a];o*=r[a]}}const a=p.size(e);if(-1!==i){if(a%o!=0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${e}] Output shape: [${t}]`);r[i]=a/o}else if(o!==a)throw new Error("reshapedDims and originalDims don't have matching sizes");return r}static sortBasedOnPerm(e,t){return t?t.map((t=>e[t])):e.slice().reverse()}static padShape(e,t){const n=e.length;return e.map(((e,r)=>e+t[r]+t[r+n]))}static areEqual(e,t){return e.length===t.length&&e.every(((e,n)=>e===t[n]))}static validateDimsAndCalcSize(e){if(e.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let t=1;for(const n of e){if(!Number.isInteger(n))throw new TypeError(`Invalid shape: ${n} is not an integer`);if(n<0||n>2147483647)throw new TypeError(`Invalid shape: length ${n} is not allowed`);t*=n}return t}static flattenShape(e,t){t<0&&(t+=e.length);const n=e.reduce(((e,t)=>e*t),1),r=e.slice(t).reduce(((e,t)=>e*t),1);return[n/r,r]}static squeezeShape(e,t){const n=new Array;t=p.normalizeAxes(t,e.length);for(let r=0;r<e.length;r++){const i=t.indexOf(r)>=0;if(i&&1!==e[r])throw new Error("squeeze an axis of size different than 1");(0===t.length&&e[r]>1||t.length>0&&!i)&&n.push(e[r])}return n}static unsqueezeShape(e,t){const n=new Array(e.length+t.length);n.fill(0);for(let e=0;e<t.length;e++){const r=p.normalizeAxis(t[e],n.length);if(r>=n.length)throw new Error("'axes' has an out of range axis");if(0!==n[r])throw new Error("'axes' has a duplicate axis");n[r]=1}let r=0;for(let t=0;t<n.length;t++)0===n[t]&&(n[t]=e[r++]);if(r!==e.length)throw new Error("the unsqueezed dimension could not be established");return n}}t.ShapeUtil=p,t.MathUtil=class{static sqr(e,t,n,r,i){if(r<0||r>=t.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=e.length)throw new Error("targetIndex out of bounds");if(r+i>t.length)throw new Error("source indices to be copied are outside bounds");if(n+i>e.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)e[n+o]+=Math.pow(t[r+o],2)}static axpy(e,t,n,r,i,o){if(r<0||r>=t.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=e.length)throw new Error("targetIndex out of bounds");if(r+i>t.length)throw new Error("source indices to be copied are outside bounds");if(n+i>e.length)throw new Error("target array is too small to hold result");for(let a=0;a<i;a++)e[n+a]+=o*t[r+a]}static powx(e,t,n,r,i,o){if(r<0||r>=t.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=e.length)throw new Error("targetIndex out of bounds");if(r+i>t.length)throw new Error("source indices to be copied are outside bounds");if(n+i>e.length)throw new Error("target array is too small to hold result");for(let a=0;a<i;a++)e[n+a]=Math.pow(t[r+a],o)}static mul(e,t,n,r,i){if(r<0||r>=t.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=e.length)throw new Error("targetIndex out of bounds");if(r+i>t.length)throw new Error("source indices to be copied are outside bounds");if(n+i>e.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)e[n+o]=t[r+o]*e[n+o]}};class f{static splitShape(e,t,n,r){if(0===n.length){if(!r)throw new Error("need to know number of outputs when the 'split' attribute is not specified");f.determineSplit(e[t],r,n)}const i=[],o=[0];for(let r=0;r<n.length;++r){0!==r&&o.push(o[r-1]+n[r-1]);const a=e.slice();a[t]=n[r],i.push(a)}return[i,o]}static determineSplit(e,t,n){if(e%t!=0)throw new Error("cannot split tensor to equal sized parts");for(let r=0;r<t;++r)n.push(e/t)}}t.SplitUtil=f;class h{static calcReduce(e,t,n,r,i){const o=e.dims.slice(0);0===t.length&&o.forEach(((e,n)=>t.push(n)));const a=h.calcReduceShape(o,t,!0),u=p.size(a),l=new s.Tensor(a,e.type),d=p.computeStrides(a),f=p.computeStrides(o),g=new Array(o.length);for(let n=0;n<u;n++){const a=p.offsetToIndices(n,d);c.fillIndex(a,o,g),l.set(a,h.calcReduceByAxis(e.numberData,t,o,0,p.indicesToOffset(g,f),r,i))}return n?l:new s.Tensor(h.calcReduceShape(o,t,n),l.type,void 0,void 0,l.data,l.dataId)}static calcReduceByAxis(e,t,n,r,i,o,a){let s=0;if(r>=t.length)return o(e[i]);const u=t[r],c=u>=n.length?1:p.size(n.slice(u+1));for(let l=0;l<n[u];l++)s=0===l?h.calcReduceByAxis(e,t,n,r+1,i,o,a):a(s,h.calcReduceByAxis(e,t,n,r+1,i,o,a)),i+=c;return s}static calcReduceShape(e,t,n){const r=e.slice();for(let e=0;e<t.length;e++)r[t[e]]=n?1:0;return r.filter((e=>0!==e))}}t.ReduceUtil=h;class g{static adjustPoolAttributes(e,t,n,r,i,o){if(!e&&n.length!==t.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let e=0;e<t.length-2;e++)e>=n.length?n.push(t[e+2]):n[e]=t[e+2];for(let e=0;e<n.length;e++)if(e<r.length){if(r[e]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let e=0;e<n.length;e++)if(e<i.length){if(i[e]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let e=0;e<2*n.length;e++)if(e<o.length){if(o[e]<0)throw new Error("pad should be greater than or equal to 1")}else o.push(0);for(let e=0;e<n.length;e++){if(n[e]<=0)throw new Error("kernel shapes need to be greater than 0");if(o[e]>=n[e]||o[e+n.length]>=n[e])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,t,n,r,i,o){if(o){if(i.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(t.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(r.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let a=0;a<e.length-2;a++)g.adjustPadAndReturnShape(e[a+2],t[a],n[a],r[a],i,a,a+e.length-2,o)}}static computePoolOutputShape(e,t,n,r,i,o,a){if(t.length<=0)throw new Error("input shape must be of size greater than 0");const s=[t[0],t[1]];return g.computeShapeHelper(e,t,s,n,r,i,o,a),s}static computeConvOutputShape(e,t,n,r,i,o,a){if(e.length<=0||t.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");const s=[e[0],t[0]];return g.computeShapeHelper(!1,e,s,n,r,i,o,a),s}static computeShapeHelper(e,t,n,r,i,o,a,s){if(e)for(let e=0;e<t.length-2;e++)n.push(1);else for(let e=0;e<t.length-2;e++)n.push(g.adjustPadAndReturnShape(t[e+2],r[e],i[e],o[e],a,e,e+t.length-2,s))}static adjustPadAndReturnShape(e,t,n,r,i,o,a,s){const u=n*(r-1)+1;if(!s||"NOTSET"===s)return Math.floor((e+i[o]+i[a]-u)/t+1);switch(s){case"VALID":return i[o]=0,i[a]=0,Math.floor((e-u)/t+1);case"SAME_LOWER":case"SAME_UPPER":if(1!==n)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{const n=((e+t-1)/t-1)*t+r-e;return i[o]="SAME_LOWER"===s?Math.floor((n+1)/2):Math.floor(n/2),i[a]=n-i[o],Math.floor((e+n-r)/t+1)}default:throw new Error("Unsupported AutoPad type")}}}t.PoolConvUtil=g,t.MIN_CLIP=-34028234663852886e22,t.MAX_CLIP=34028234663852886e22,t.decodeUtf8String=function(e){return(new TextDecoder).decode(e)}},3838:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.WebGpuBackend=void 0;const r=n(8453),i=n(4955),o=n(7771),a=n(8510),s=n(8305);t.WebGpuBackend=class{constructor(){this.currentKernelId=null,this.commandEncoder=null,this.computePassEncoder=null,this.pendingDispatchNumber=0,this.profilingEnabled=!1}get currentKernelCustomData(){if(null===this.currentKernelId)throw new Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let e=this.kernelCustomData.get(this.currentKernelId);return e||(e={},this.kernelCustomData.set(this.currentKernelId,e)),e}async initialize(){if(!navigator.gpu)throw new Error("WebGpuBackend: WebGPU is not available.");const e=await navigator.gpu.requestAdapter();if(!e)throw new Error("WebGpuBackend: Failed to get GPU adapter.");const t={requiredLimits:{maxComputeWorkgroupStorageSize:e.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:e.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:e.limits.maxStorageBufferBindingSize}};e.features.has("timestamp-query-inside-passes")&&"default"===r.env.webgpu.profilingMode&&(this.profilingEnabled=!0,t.requiredFeatures=["timestamp-query-inside-passes"]),this.device=await e.requestDevice(t),this.gpuDataManager=(0,o.createGpuDataManager)(this),this.programManager=new s.ProgramManager(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,this.device.onuncapturederror=e=>{e.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${e.error.message}`)},this.profilingEnabled&&(this.profilingQuerySet=this.device.createQuerySet({type:"timestamp",count:2}))}dispose(){}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){return this.computePassEncoder||(this.computePassEncoder=this.getCommandEncoder().beginComputePass()),this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){this.endComputePass(),this.device.queue.submit([this.getCommandEncoder().finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0}run(e,t,n,r,o){if(t.length!==e.inputTypes.length)throw new Error(`Input size must be equal to ${e.inputTypes.length}.`);const a=[];for(let e=0;e<t.length;++e){const n=this.gpuDataManager.get(t[e].data);if(!n)throw new Error(`no GPU data for input: ${t[e].data}`);a[e]=n}const s=((e,t,n)=>{const r=t.map((e=>`${e.join(",")}`)).join("_"),i=n.join("_");let o=e.name;return e.cacheHint&&(o+="["+e.cacheHint+"]"),o+=":"+r+";"+i,o})(e,t.map((e=>e.dims)),a.map((e=>e.type)));let u=this.programManager.getArtifact(s);const c=u?u.programInfo:"function"==typeof e.get?e.get():e,l=0===n.length?c.outputs.map(((e,t)=>t)):n;if(l.length!==c.outputs.length)throw new Error(`Output size ${l.length} must be equal to ${c.outputs.length}.`);const d=[],p=[];for(let e=0;e<c.outputs.length;++e){if(!Number.isInteger(l[e])||l[e]<-2||l[e]>=c.outputs.length)throw new Error(`Invalid output index: ${l[e]}`);const t=-1===l[e],n=-2===l[e],i=t||n?o(c.outputs[e].dataType,c.outputs[e].dims):r(l[e],c.outputs[e].dataType,c.outputs[e].dims),a=this.gpuDataManager.get(i.data);if(!a)throw new Error(`no GPU data for output: ${i.data}`);if(t&&this.temporaryData.push(a),n){let e=this.kernelPersistentData.get(this.currentKernelId);e||(e=[],this.kernelPersistentData.set(this.currentKernelId,e)),e.push(a)}d.push(i),p.push(a)}const f=this.programManager.normalizeDispatchGroupSize(c.dispatchGroup(t));return u||(u=this.programManager.build(c,f),this.programManager.setArtifact(s,u)),(0,i.LOG_DEBUG)("info",(()=>`[ProgramManager] run "${c.name}" (key=${s}) with ${f[0]}x${f[1]}x${f[2]}`)),this.programManager.run(u,a,p,f),d}upload(e,t){this.gpuDataManager.upload(e,t)}memcpy(e,t){this.gpuDataManager.memcpy(e,t)}async download(e,t){const n=await this.gpuDataManager.download(e);t().set(new Uint8Array(n))}alloc(e){return this.gpuDataManager.create(e).id}free(e){return this.gpuDataManager.release(e)}createKernel(e,t,n){const r=a.WEBGPU_OP_RESOLVE_RULES.get(e);if(!r)throw new Error(`kernel not implemented: ${e}`);this.kernels.set(t,[e,r[0],[r[1],n]])}releaseKernel(e){const t=this.kernelPersistentData.get(e);if(t){for(const e of t)this.gpuDataManager.release(e.id);this.kernelPersistentData.delete(e)}this.kernelCustomData.delete(e),this.kernels.delete(e)}computeKernel(e,t){const n=this.kernels.get(e);if(!n)throw new Error(`kernel not created: ${e}`);const[r,o,a]=n;if(null!==this.currentKernelId)throw new Error(`kernel "${r}" is not allowed to be called recursively`);this.currentKernelId=e,a[0]&&(a[1]=a[0](a[1]),a[0]=void 0),(0,i.LOG_DEBUG)("info",(()=>`[WebGPU] Start to run kernel "${r}"...`)),this.temporaryData=[];try{return o(t,a[1]),0}catch(e){return(0,i.LOG_DEBUG)("warning",`[WebGPU] Kernel "${r}" failed. Error: ${e}`),1}finally{for(const e of this.temporaryData)this.gpuDataManager.release(e.id);this.temporaryData=[],this.currentKernelId=null}}}},7675:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.init=void 0;const r=n(7917),i=n(3838),o=n(4955),a=n(6952);class s{constructor(e,t,n,r){this.module=e,this.dataType=t,this.data=n,this.dims=r}getFloat32Array(){return new Float32Array(this.module.HEAP8.buffer,this.data,a.ShapeUtil.size(this.dims))}reshape(e){if(a.ShapeUtil.size(e)!==a.ShapeUtil.size(this.dims))throw new Error("Invalid new shape");return new s(this.module,this.dataType,this.data,e)}}class u{get customData(){return this.backend.currentKernelCustomData}constructor(e,t,n){this.module=e,this.backend=t;const r=e.HEAPU32;let i=n>>2;this.opKernelContext=r[i++];const o=r[i++],a=[];for(let t=0;t<o;t++){const t=r[i++],n=r[i++],o=r[i++],u=[];for(let e=0;e<o;e++)u.push(r[i++]);a.push(new s(e,t,n,u))}this.inputs=a}compute(e,t){var n,i,o;const u=null!==(i=null===(n=null==t?void 0:t.inputs)||void 0===n?void 0:n.map((e=>"number"==typeof e?this.inputs[e]:e)))&&void 0!==i?i:this.inputs,c=null!==(o=null==t?void 0:t.outputs)&&void 0!==o?o:[];return this.backend.run(e,u,c,((e,t,n)=>new s(this.module,t,this.output(e,n),n)),((e,t)=>{const n=(0,r.getTensorElementSize)(e);if(!n)throw new Error(`Unsupported data type: ${e}`);const i=n*a.ShapeUtil.size(t);return new s(this.module,e,this.backend.gpuDataManager.create(i).id,t)}))}output(e,t){const n=this.module.stackSave();try{const n=this.module.stackAlloc(4*(1+t.length));let r=n>>2;this.module.HEAPU32[r++]=t.length;for(let e=0;e<t.length;e++)this.module.HEAPU32[r++]=t[e];return this.module._JsepOutput(this.opKernelContext,e,n)}finally{this.module.stackRestore(n)}}}t.init=async e=>{const t=e.jsepInit;if(t&&navigator.gpu){const n=new i.WebGpuBackend;await n.initialize(),t({backend:n},(e=>n.alloc(e)),(e=>n.free(e)),((t,r,i,a=!1)=>{if(a)(0,o.LOG_DEBUG)("verbose",(()=>`[WebGPU] jsepCopyGpuToGpu: src=${t}, dst=${r}, size=${i}`)),n.memcpy(t,r);else{(0,o.LOG_DEBUG)("verbose",(()=>`[WebGPU] jsepCopyCpuToGpu: dataOffset=${t}, gpuDataId=${r}, size=${i}`));const a=e.HEAPU8.subarray(t,t+i);n.upload(r,a)}}),(async(t,r,i)=>{(0,o.LOG_DEBUG)("verbose",(()=>`[WebGPU] jsepCopyGpuToCpu: gpuDataId=${t}, dataOffset=${r}, size=${i}`)),await n.download(t,(()=>e.HEAPU8.subarray(r,r+i)))}),((e,t,r)=>n.createKernel(e,t,r)),(e=>n.releaseKernel(e)),((t,r)=>{(0,o.LOG_DEBUG)("verbose",(()=>`[WebGPU] jsepRun: kernel=${t}, contextDataOffset=${r}`));const i=new u(e,n,r);return n.computeKernel(t,i)}))}}},4955:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.LOG_DEBUG=t.LOG=void 0;const r=n(8453),i=n(7917),o=["V","I","W","E","F"];t.LOG=(e,t)=>{const n=(0,i.logLevelStringToEnum)(e);var a,s;n>=(0,i.logLevelStringToEnum)(r.env.logLevel)&&(a=n,s="function"==typeof t?t():t,console.log(`[${o[a]},${(new Date).toISOString()}]${s}`))},t.LOG_DEBUG=(...e)=>{r.env.debug&&(0,t.LOG)(...e)}},6952:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.MAX_CLIP=t.MIN_CLIP=t.GemmUtil=t.PoolConvUtil=t.ShapeUtil=t.BroadcastUtil=t.MatMulUtil=void 0;class n{static calcMatMulShape(e,t){return e[1]!==t[0]?void 0:[e[0],t[1]]}}t.MatMulUtil=n;class r{static calcShape(e,t,r=!1){const i=e.length,o=t.length;if(0===i)return t;if(0===o)return e;const a=Math.max(e.length,t.length),s=new Array(a);if(r){if(i<2||o<2)return;const r=n.calcMatMulShape([e[i-2],e[i-1]],[t[o-2],t[o-1]]);if(void 0===r)return;[s[a-2],s[a-1]]=r}for(let n=r?3:1;n<=a;n++){const r=i-n<0?1:e[i-n],u=o-n<0?1:t[o-n];if(r!==u&&r>1&&u>1)return;s[a-n]=Math.max(r,u)}return s}static isValidBroadcast(e,t){const n=e.length,r=t.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==e[n-i]&&e[n-i]!==t[r-i])return!1;return!0}}t.BroadcastUtil=r;class i{static size(e){return i.getSizeFromDimensionRange(e,0,e.length)}static sizeFromDimension(e,t){if(t<0||t>e.length)throw new Error(`invalid dimension of ${t} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return i.getSizeFromDimensionRange(e,t,e.length)}static sizeToDimension(e,t){if(t<0||t>e.length)throw new Error(`invalid dimension of ${t} for sizeToDimension as Tensor has ${e.length} dimensions.`);return i.getSizeFromDimensionRange(e,0,t)}static getSizeFromDimensionRange(e,t,n){let r=1;for(let i=t;i<n;i++){if(e[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=e[i]}return r}static computeStrides(e){const t=e.length;if(0===t)return[];if(1===t)return[1];const n=new Array(t);n[t-1]=1,n[t-2]=e[t-1];for(let r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}static normalizeAxis(e,t){if(e<-t&&e>=t)throw new Error("unsupported axis for this operation.");return e<0?e+t:e}static normalizeAxes(e,t){return e.map((n=>this.normalizeAxis(n,null!=t?t:e.length)))}static sortBasedOnPerm(e,t){return t?t.map((t=>e[t])):e.slice().reverse()}static padShape(e,t){const n=e.length;return e.map(((e,r)=>e+t[r]+t[r+n]))}static areEqual(e,t){return e.length===t.length&&e.every(((e,n)=>e===t[n]))}}t.ShapeUtil=i;class o{static adjustPoolAttributes(e,t,n,r,i,o){if(!e&&n.length!==t.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let e=0;e<t.length-2;e++)e>=n.length?n.push(t[e+2]):n[e]=t[e+2];for(let e=0;e<n.length;e++)if(e<r.length){if(r[e]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let e=0;e<n.length;e++)if(e<i.length){if(i[e]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let e=0;e<2*n.length;e++)if(e<o.length){if(o[e]<0)throw new Error("pad should be greater than or equal to 1")}else o.push(0);for(let e=0;e<n.length;e++){if(n[e]<=0)throw new Error("kernel shapes need to be greater than 0");if(o[e]>=n[e]||o[e+n.length]>=n[e])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,t,n,r,i,a,s){if(s){if(i.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(t.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(r.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let u=0;u<e.length-2;u++)o.adjustPadAndReturnShape(e[u+(a?1:2)],t[u],n[u],r[u],i,u,u+e.length-2,s)}}static computePoolOutputShape(e,t,n,r,i,a,s){if(t.length<=0)throw new Error("input shape must be of size greater than 0");const u=[t[0],t[1]];return o.computeShapeHelper(e,t,u,n,r,i,a,s),u}static computeConvOutputShape(e,t,n,r,i,a,s){if(e.length<=0||t.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");const u=[e[0],t[0]];return o.computeShapeHelper(!1,e,u,n,r,i,a,s),u}static computeShapeHelper(e,t,n,r,i,a,s,u){if(e)for(let e=0;e<t.length-2;e++)n.push(1);else for(let e=0;e<t.length-2;e++)n.push(o.adjustPadAndReturnShape(t[e+2],r[e],i[e],a[e],s,e,e+t.length-2,u))}static adjustPadAndReturnShape(e,t,n,r,i,o,a,s){const u=n*(r-1)+1;if(!s||"NOTSET"===s)return Math.floor((e+i[o]+i[a]-u)/t+1);switch(s){case"VALID":return i[o]=0,i[a]=0,Math.floor((e-u)/t+1);case"SAME_LOWER":case"SAME_UPPER":if(1!==n)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{const n=((e+t-1)/t-1)*t+r-e;return i[o]="SAME_LOWER"===s?Math.floor((n+1)/2):Math.floor(n/2),i[a]=n-i[o],Math.floor((e+n-r)/t+1)}default:throw new Error("Unsupported AutoPad type")}}}t.PoolConvUtil=o,t.GemmUtil=class{static getShapeOfGemmResult(e,t,n,i,o){if(2!==e.length||2!==n.length)throw new Error("shape need to be of size 2");let a,s,u;t?(a=e[1],s=e[0]):(a=e[0],s=e[1]);let c=-1;if(i?(u=n[0],c=1):(u=n[1],c=0),n[c]!==s)throw new Error("dimension mismatch");if(a<=0||u<=0||s<=0)throw new Error("invalid shape specified");if(o&&!r.isValidBroadcast(o,[a,u]))throw new Error("gemm: invalid bias shape for broadcast");return[a,u,s]}},t.MIN_CLIP=-34028234663852886e22,t.MAX_CLIP=34028234663852886e22},387:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createAttributeWithCacheKey=void 0;class n{constructor(e){Object.assign(this,e)}get cacheKey(){return this._cacheKey||(this._cacheKey=Object.getOwnPropertyNames(this).sort().map((e=>`${this[e]}`)).join(";")),this._cacheKey}}t.createAttributeWithCacheKey=e=>new n(e)},7771:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createGpuDataManager=void 0;const r=n(4955),i=n(1163),o=e=>16*Math.ceil(e/16);let a=0;class s{constructor(e){this.backend=e,this.storageCache=new Map,this.downloadCache=new Map,this.buffersForUploadingPending=[],this.buffersPending=[]}upload(e,t){const n=t.buffer,i=t.byteOffset,a=t.byteLength,s=o(a),u=this.storageCache.get(e);if(!u)throw new Error("gpu data for uploading does not exist");if(u.originalSize!==a)throw new Error(`inconsistent data size. gpu data size=${u.originalSize}, data size=${a}`);const c=this.backend.device.createBuffer({mappedAtCreation:!0,size:s,usage:GPUBufferUsage.MAP_WRITE|GPUBufferUsage.COPY_SRC}),l=c.getMappedRange();new Uint8Array(l).set(new Uint8Array(n,i,a)),c.unmap();const d=this.backend.getCommandEncoder();this.backend.endComputePass(),d.copyBufferToBuffer(c,0,u.gpuData.buffer,0,s),(0,r.LOG_DEBUG)("verbose",(()=>`[WebGPU] GpuDataManager.upload(id=${e})`)),this.buffersForUploadingPending.push(c)}memcpy(e,t){const n=this.storageCache.get(e);if(!n)throw new Error("source gpu data for memcpy does not exist");const r=this.storageCache.get(t);if(!r)throw new Error("destination gpu data for memcpy does not exist");if(n.originalSize!==r.originalSize)throw new Error("inconsistent source and destination gpu data size");const i=o(n.originalSize);this.backend.getCommandEncoder().copyBufferToBuffer(n.gpuData.buffer,0,r.gpuData.buffer,0,i)}create(e,t=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){const n=o(e),s=this.backend.device.createBuffer({size:n,usage:t}),u={id:a++,type:i.GpuDataType.default,buffer:s};return this.storageCache.set(u.id,{gpuData:u,originalSize:e}),(0,r.LOG_DEBUG)("verbose",(()=>`[WebGPU] GpuDataManager.create(size=${e}) => id=${u.id}`)),u}get(e){var t;return null===(t=this.storageCache.get(e))||void 0===t?void 0:t.gpuData}release(e){const t=this.storageCache.get(e);if(!t)throw new Error("releasing data does not exist");return(0,r.LOG_DEBUG)("verbose",(()=>`[WebGPU] GpuDataManager.release(id=${e}), gpuDataId=${t.gpuData.id}`)),this.storageCache.delete(e),this.buffersPending.push(t.gpuData.buffer),this.downloadCache.get(e)&&this.downloadCache.delete(e),t.originalSize}async download(e){const t=this.downloadCache.get(e);if(t)return t.data;const n=this.storageCache.get(e);if(!n)throw new Error("data does not exist");const r=this.backend.getCommandEncoder();this.backend.endComputePass();const i=this.backend.device.createBuffer({size:n.originalSize,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});r.copyBufferToBuffer(n.gpuData.buffer,0,i,0,n.originalSize),this.backend.flush();const o=new Promise((e=>{i.mapAsync(GPUMapMode.READ).then((()=>{const t=i.getMappedRange().slice(0);i.destroy(),e(t)}))}));return this.downloadCache.set(e,{data:o}),o}refreshPendingBuffers(){for(const e of this.buffersForUploadingPending)e.destroy();for(const e of this.buffersPending)e.destroy()}}t.createGpuDataManager=(...e)=>new s(...e)},8510:function(e,t,n){"use strict";var r=this&&this.__createBinding||(Object.create?function(e,t,n,r){void 0===r&&(r=n);var i=Object.getOwnPropertyDescriptor(t,n);i&&!("get"in i?!t.__esModule:i.writable||i.configurable)||(i={enumerable:!0,get:function(){return t[n]}}),Object.defineProperty(e,r,i)}:function(e,t,n,r){void 0===r&&(r=n),e[r]=t[n]}),i=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,"default",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)"default"!==n&&Object.prototype.hasOwnProperty.call(e,n)&&r(t,e,n);return i(t,e),t};Object.defineProperty(t,"__esModule",{value:!0}),t.WEBGPU_OP_RESOLVE_RULES=void 0;const a=o(n(504)),s=n(9770),u=n(4271),c=n(1522),l=o(n(5262)),d=n(2625),p=o(n(9302));t.WEBGPU_OP_RESOLVE_RULES=new Map([["Abs",[p.abs]],["Acos",[p.acos]],["Acosh",[p.acosh]],["Add",[a.add]],["Asin",[p.asin]],["Asinh",[p.asinh]],["Atan",[p.atan]],["Atanh",[p.atanh]],["AveragePool",[l.averagePool,l.parseAveragePoolAttributes]],["Ceil",[p.ceil]],["ClipV10",[p.clipV10]],["Clip",[p.clip]],["Conv",[s.conv,s.parseConvAttributes]],["Cos",[p.cos]],["Cosh",[p.cosh]],["Div",[a.div]],["Elu",[p.elu,p.parseAlphaAttributes]],["Erf",[p.erf]],["Exp",[p.exp]],["Floor",[p.floor]],["Gemm",[u.gemm,u.parseGemmAttributes]],["GlobalAveragePool",[l.globalAveragePool,l.parseGlobalAveragePoolAttributes]],["GlobalMaxPool",[l.globalMaxPool,l.parseGlobalMaxPoolAttributes]],["LeakyRelu",[p.leakyRelu,p.parseAlphaAttributes]],["MatMul",[c.matMul]],["MaxPool",[l.maxPool,l.parseMaxPoolAttributes]],["Mul",[a.mul]],["Neg",[p.neg]],["Pow",[a.pow]],["Reciprocal",[p.reciprocal]],["Relu",[p.relu]],["Sigmoid",[p.sigmoid]],["Sin",[p.sin]],["Sinh",[p.sinh]],["Sqrt",[p.sqrt]],["Sub",[a.sub]],["Tan",[p.tan]],["Tanh",[p.tanh]],["ThresholdedRelu",[p.thresholdedRelu,p.parseAlphaAttributes]],["Transpose",[d.transpose,d.parseTransposeAttributes]]])},1427:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.biasActivationSnippet=t.activationFnSnippet=t.typeSnippet=void 0,t.typeSnippet=e=>{switch(e){case 1:return"f32";case 2:return"vec2<f32>";case 3:return"vec3<f32>";case 4:return"vec4<f32>";default:throw new Error(`${e}-component is not supported.`)}},t.activationFnSnippet=(e,t=!1,n=!1,r=3)=>"",t.biasActivationSnippet=(e,t)=>`\n      ${e?"value = value + getBiasByOutputCoords(coords);":""}\n      ${t?"value = activation(value, coords);":""}\n      `},9456:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createConv2DMatMulProgramInfo=void 0;const r=n(4955),i=n(6952),o=n(1163),a=n(1427),s=n(4085),u=n(158);t.createConv2DMatMulProgramInfo=(e,t,n,c,l,d,p,f,h)=>{const g="NHWC"===n.format,m=g?e[0].dims[3]:e[0].dims[1],b=c[0],y=g?c[2]:c[3],_=g?c[1]:c[2],v=g?c[3]:c[1],w=((m%4==0||m%3==0)&&g||y%4==0&&!g)&&v%4==0,x=g?v:y*_,T=g?y*_:v,S=w?[8,8,1]:[x<=4?4:16,x>4&&T<=4?4:16,1],O=w?[4,4,1]:[x<=4?1:2,x>4&&T<=4?1:2,1],A=[Math.ceil(x/S[0]/O[0]),Math.ceil(T/S[1]/O[1]),Math.ceil(b/S[2]/O[1])];(0,r.LOG_DEBUG)("verbose",(()=>`[conv2d_mm_webgpu] dispatch = ${A}`));const E=w?g&&m%4!=0?3:4:O[0],I=S[1]*O[1],P=S[0]*O[0],$=Math.max(S[0]*E,S[1]),k=l%I==0,D=d%P==0,C=p%$==0,R=w?[E,4,4]:[1,1,1],N=[`@group(0) @binding(0) var<storage, read> x: array<${w&&4===E?"vec4<f32>":"f32"}>;`,`@group(0) @binding(1) var<storage, read> w: array<${w?"vec4<f32>":"f32"}>;`];let M=`\n      fn setOutputAtIndex(flatIndex : i32, value : ${w?"vec4<f32>":"f32"}) {\n        result[flatIndex] = ${w?"vec4<f32>":"f32"}(value);\n      }\n      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${w?"vec4<f32>":"f32"}) {\n        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));\n        setOutputAtIndex(flatIndex ${w?"/ 4":""}, value);\n      }`;return f&&(N.push(`@group(0) @binding(2) var<storage, read> bias: array<${w?"vec4<f32>":"f32"}>;`),M+=`\n        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${w?"vec4<f32>":"f32"} {\n          return bias[coords.${g?"w":"y"}${w?"/ 4":""}];\n        }`),Object.assign(Object.assign({},t),{outputs:[{dims:c,dataType:e[0].dataType,gpuDataType:o.GpuDataType.default}],dispatchGroup:()=>({x:A[0],y:A[1],z:A[2]}),getShaderSource:()=>`\n        ${s.utilFunctions}\n        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,\n        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,\n        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };\n        ${N.join("")}\n        @group(0) @binding(${N.length}) var<storage, read_write> result: array<${w?"vec4<f32>":"f32"}>;\n        //@group(0) @binding(${N.length+1}) var<uniform> uniforms: Uniforms;\n\n        const xShape : vec4<i32> = vec4<i32>(${e[0].dims.join(",")});\n        const wShape : vec4<i32> = vec4<i32>(${e[1].dims.join(",")});\n        const outShape : vec4<i32> = vec4<i32>(${c.join(",")});\n        const outShapeStrides : vec3<i32> = vec3<i32>(${i.ShapeUtil.computeStrides(c).slice(0,3).join(",")});\n        const filterDims : vec2<i32> = vec2<i32>(${n.kernelShape[0]}, ${n.kernelShape[1]});\n        const pad : vec2<i32> = vec2<i32>(${n.pads[0]}, ${n.pads[1]});\n        const stride : vec2<i32> = vec2<i32>(${n.strides[0]}, ${n.strides[1]});\n        const dilation : vec2<i32> = vec2<i32>(${n.dilations[0]}, ${n.dilations[1]});\n        const dimAOuter : i32 = ${l};\n        const dimBOuter : i32 = ${d};\n        const dimInner : i32 = ${p};\n        ${M}\n        ${((e,t,n,r,i=!1,o,s=!1,u=4,c=4,l=4)=>{const d=e?"\n    let coord = vec4<i32>(batch, xRow, xCol, xCh);\n    ":"\n    let coord = vec4<i32>(batch, xCh, xRow, xCol);\n    ",p=e?"\n    let coords = vec4<i32>(\n      batch,\n      row / outWidth,\n      row % outWidth,\n      col);\n    ":"\n    let coords = vec4<i32>(\n      batch,\n      row,\n      col / outWidth,\n      col % outWidth);\n    ",f=e?"xShape[1]":"xShape[2]",h=e?"xShape[2]":"xShape[3]",g=e?"row":"col",m=e?"col":"row",b=`\n    let inChannels = wShape[2];\n    let outWidth = ${e?"outShape[2]":"outShape[3]"};\n    let outRow = ${g} / outWidth;\n    let outCol = ${g} % outWidth;\n\n    let WRow = ${m} / (filterDims[1] * inChannels);\n    let WCol = ${m} / inChannels % filterDims[1];\n    let xRow = outRow * stride[0] + dilation[0] * WRow - pad[0];\n    let xCol = outCol * stride[1] + dilation[1] * WCol - pad[1];\n    let xCh = ${m} % inChannels;\n    var resData = ${(0,a.typeSnippet)(u)}(0.0);\n    // The bounds checking is always needed since we use it to pad zero for\n    // the 'same' padding type.\n    if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${h}) {\n      ${d}\n      let xIndex = getIndexFromCoords4D(coord, xShape);\n      ${(e=>{switch(e){case 1:return"resData = x[xIndex];";case 3:return"resData = vec3<f32>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);";case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${e} is not supported.`)}})(u)}\n    }\n    return resData;`,y=e?t&&r?`\n    let col = colIn * ${u};\n    ${b}`:`\n    let col = colIn * ${u};\n    if (row < dimAOuter && col < dimInner) {\n      ${b}\n    }\n    return ${(0,a.typeSnippet)(u)}(0.0);`:r&&n?`\n    let col = colIn * ${u};\n    ${b}`:`\n    let col = colIn * ${u};\n    if (row < dimInner && col < dimBOuter) {\n      ${b}\n    }\n    return ${(0,a.typeSnippet)(u)}(0.0);`,_=`${(e=>{switch(e){case 1:return"return w[row * wShape[3] + colIn];";case 4:return"return w[row * wShape[3] / 4 + colIn];";default:throw new Error(`innerElementSize ${e} is not supported.`)}})(c)}`,v=(0,a.typeSnippet)(l),w=e?(0,a.typeSnippet)(u):(0,a.typeSnippet)(c),x=e?(0,a.typeSnippet)(c):(0,a.typeSnippet)(u);return`\n    ${(0,a.activationFnSnippet)(o,s,4===l,4)}\n    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${w} {\n      ${e?y:_}\n    }\n\n    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${x} {\n      ${e?_:y}\n    }\n\n    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${v}) {\n      let col = colIn * ${l};\n      if (row < dimAOuter && col < dimBOuter)\n      {\n      var value = valueIn;\n      let outWidth = ${e?"outShape[2]":"outShape[3]"};\n      ${p}\n      ${(0,a.biasActivationSnippet)(i,o)}\n      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n      }\n    }`})(g,k,D,C,f,void 0,!1,R[0],R[1],R[2])}\n            ${w?(0,u.makeMatMulPackedVec4Source)(O,S,!g,$):(0,u.makeMatMulPackedSource)(O,S,!g,$,!1,void 0,h)}`})}},4085:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.utilFunctions=void 0,t.utilFunctions="\nfn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {\n  return dot(coords, vec4<i32>(\n      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));\n}\nfn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {\n  return dot(coords, vec4<i32>(\n    outShapeStrides.x, outShapeStrides.y, outShapeStrides.z, 1));\n}\n"},158:(e,t)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.makeMatMulPackedSource=t.makeMatMulPackedVec4Source=void 0,t.makeMatMulPackedVec4Source=(e,t,n=!1,r=32,i=!1,o=32,a=!1)=>{const s=t[1]*e[1],u=t[0]*e[0],c=n?s:r,l=n?r:s,d=c/t[0],p=r/t[1];if((!n||4!==d||4!==e[1])&&(n||3!==d&&4!==d)||c%t[0]!=0||r%t[1]!=0||4!==e[0])throw new Error(`If transposeA ${n} is true, innerElementSize ${d} and workPerThread[1] ${e[1]} must be 4.\n      Otherwise, innerElementSize ${d} must be 3 or 4.\n  tileAWidth ${c} must be divisible by workgroupSize[0]${t[0]}. tileInner ${r} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`);return`\nvar<workgroup> mm_Asub : array<array<vec${d}<f32>, ${c/d}>, ${l}>;\nvar<workgroup> mm_Bsub : array<array<vec4<f32>, ${u/e[0]}>, ${r}>;\n\nconst rowPerThread = ${e[1]};\nconst colPerThread = ${e[0]};\nconst innerElementSize = ${d};\nconst tileInner = ${r};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n        @builtin(global_invocation_id) globalId : vec3<u32>,\n        @builtin(workgroup_id) workgroupId : vec3<u32>) {\n  let localRow = i32(localId.y);\n  let tileRow = ${a?"0":"localRow * rowPerThread"};\n  let tileCol = i32(localId.x);\n\n  let globalRow = ${a?"0":"i32(globalId.y) * rowPerThread"};\n  let globalCol = i32(globalId.x);\n  let batch = ${i?"0":"i32(globalId.z)"};\n  let globalRowStart = i32(workgroupId.y) * ${s};\n\n  let numTiles = ${i?`${Math.ceil(o/r)}`:"(dimInner - 1) / tileInner + 1"};\n  var kStart = ${i?`i32(globalId.z) * ${o}`:"0"};\n\n  var acc: array<vec4<f32>, rowPerThread>;\n\n  // Loop over shared dimension.\n  let tileRowB = localRow * ${p};\n  for (var t = 0; t < numTiles; t = t + 1) {\n      // Load one tile of A into local memory.\n      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n          let inputRow = tileRow + innerRow;\n          let inputCol = tileCol;\n          ${f=n,f?"\n        mm_Asub[inputRow][inputCol] = mm_readA(batch,\n          kStart + inputRow,\n          globalRowStart / innerElementSize + inputCol);\n        ":"\n        mm_Asub[inputRow][inputCol] = mm_readA(batch,\n          globalRow + innerRow,\n          kStart / innerElementSize + inputCol);\n        "}\n      }\n\n      // Load one tile of B into local memory.\n      for (var innerRow = 0; innerRow < ${p}; innerRow = innerRow + 1) {\n          let inputRow = tileRowB + innerRow;\n          let inputCol = tileCol;\n          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol);\n      }\n      kStart = kStart + tileInner;\n      workgroupBarrier();\n\n      // Compute acc values for a single thread.\n      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {\n          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];\n          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];\n          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];\n          ${3===d?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}\n\n          ${((e,t)=>e?`\n        let ACached0 = mm_Asub[k * innerElementSize][localRow];\n        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];\n        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];\n        ${3===t?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}\n        for (var i = 0; i < rowPerThread; i = i + 1) {\n          acc[i] = BCached0 * ACached0[i] + acc[i];\n          acc[i] = BCached1 * ACached1[i] + acc[i];\n          acc[i] = BCached2 * ACached2[i] + acc[i];\n          ${3===t?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}\n        }`:`\n        for (var i = 0; i < rowPerThread; i = i + 1) {\n          let ACached = mm_Asub[tileRow + i][k];\n          acc[i] = BCached0 * ACached.x + acc[i];\n          acc[i] = BCached1 * ACached.y + acc[i];\n          acc[i] = BCached2 * ACached.z + acc[i];\n          ${3===t?"":"acc[i] = BCached3 * ACached.w + acc[i];"}\n        }`)(n,d)}\n      }\n\n      workgroupBarrier();\n  }\n\n  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n  }\n}`;var f};const n=e=>e?"\n            mm_Asub[inputRow][inputCol] = mm_readA(batch,\n              kStart + inputRow,\n              globalRowStart + inputCol);\n            ":"\n            mm_Asub[inputRow][inputCol] = mm_readA(batch,\n              globalRowStart + inputRow,\n              kStart + inputCol);\n            ";t.makeMatMulPackedSource=(e,t,r=!1,i=32,o=!1,a=32,s=!1)=>{const u=e[1]*t[1],c=e[0]*t[0],l=r?u:i,d=r?i:u;if(d%t[1]!=0||l%t[0]!=0||i%t[1]!=0)throw new Error(`tileAHight ${d} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${l} must be divisible by workgroupSize[0]${t[0]}, tileInner ${i} must be divisible by workgroupSize[1]${t[1]}`);const p=d/t[1],f=l/t[0],h=i/t[1],g=s?`\n    let localRow = i32(localId.y);\n    let localCol = i32(localId.x);\n    let globalRowStart = i32(workgroupId.y) * ${u};\n    let globalColStart = i32(workgroupId.x) * ${c};\n\n    // Loop over shared dimension.\n    for (var t = 0; t < numTiles; t = t + 1) {\n      // Load one tile of A into local memory.\n      for (var inputRow = localRow; inputRow < ${d}; inputRow = inputRow + ${t[1]}) {\n        for (var inputCol = localCol; inputCol < ${l}; inputCol = inputCol + ${t[0]}) {\n          ${n(r)}\n        }\n      }\n      // Load one tile of B into local memory.\n      for (var inputRow = localRow; inputRow < ${i}; inputRow = inputRow + ${t[1]}) {\n            for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${t[0]}) {\n          mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n            kStart + inputRow,\n            globalColStart + inputCol);\n        }\n      }\n      kStart = kStart + tileInner;\n      workgroupBarrier();\n\n      // Compute acc values for a single thread.\n      var BCached : array<f32, colPerThread>;\n      for (var k = 0; k < tileInner; k = k + 1) {\n        for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n          BCached[inner] = mm_Bsub[k][localCol + inner * ${t[0]}];\n        }\n        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n          let ACached = ${r?`mm_Asub[k][localRow + innerRow * ${t[1]}];`:`mm_Asub[localRow + innerRow * ${t[1]}][k];`}\n          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n            acc[innerRow][innerCol] = acc[innerRow][innerCol] +\n                ACached * BCached[innerCol];\n          }\n        }\n      }\n      workgroupBarrier();\n    }\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      let gRow = globalRowStart + localRow + innerRow * ${t[1]};\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        let gCol = globalColStart + localCol + innerCol * ${t[0]};\n        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n      }\n    }\n    `:`\nlet tileRow = i32(localId.y) * rowPerThread;\nlet tileCol = i32(localId.x) * colPerThread;\n\nlet globalRow = i32(globalId.y) * rowPerThread;\nlet globalCol = i32(globalId.x) * colPerThread;\nlet globalRowStart = i32(workgroupId.y) * ${u};\n\nlet tileRowA = i32(localId.y) * ${p};\nlet tileColA = i32(localId.x) * ${f};\nlet tileRowB = i32(localId.y) * ${h};\n// Loop over shared dimension.\nfor (var t = 0; t < numTiles; t = t + 1) {\n  // Load one tile of A into local memory.\n  for (var innerRow = 0; innerRow < ${p}; innerRow = innerRow + 1) {\n    for (var innerCol = 0; innerCol < ${f}; innerCol = innerCol + 1) {\n      let inputRow = tileRowA + innerRow;\n      let inputCol = tileColA + innerCol;\n      ${n(r)}\n    }\n  }\n\n  // Load one tile of B into local memory.\n  for (var innerRow = 0; innerRow < ${h}; innerRow = innerRow + 1) {\n    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n      let inputRow = tileRowB + innerRow;\n      let inputCol = tileCol + innerCol;\n      mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n        kStart + inputRow,\n        globalCol + innerCol);\n    }\n  }\n  kStart = kStart + tileInner;\n  workgroupBarrier();\n\n  // Compute acc values for a single thread.\n  var BCached : array<f32, colPerThread>;\n  for (var k = 0; k < tileInner; k = k + 1) {\n    for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n      BCached[inner] = mm_Bsub[k][tileCol + inner];\n    }\n\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      ${(e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];")(r)}\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];\n      }\n    }\n  }\n\n  workgroupBarrier();\n}\n\nfor (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n    mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n        acc[innerRow][innerCol]);\n  }\n}\n`;return`\n  var<workgroup> mm_Asub : array<array<f32, ${l}>, ${d}>;\n  var<workgroup> mm_Bsub : array<array<f32, ${c}>, ${i}>;\n  const rowPerThread = ${e[1]};\n  const colPerThread = ${e[0]};\n  const tileInner = ${i};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n        @builtin(global_invocation_id) globalId : vec3<u32>,\n        @builtin(workgroup_id) workgroupId : vec3<u32>) {\n    let batch = ${o?"0":"i32(globalId.z)"};\n    let numTiles = ${o?`${Math.ceil(a/i)}`:"(dimInner - 1) / tileInner + 1"};\n    var kStart = ${o?`i32(globalId.z) * ${a}`:"0"};\n\n    var acc : array<array<f32, colPerThread>, rowPerThread>;\n\n    // Without this initialization strange values show up in acc.\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        acc[innerRow][innerCol] = 0.0;\n      }\n    }\n    ${g}\n  }\n`}},504:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.sub=t.pow=t.mul=t.div=t.add=void 0;const r=n(6952),i=n(1163),o=n(2075),a=(e,t,n,a,s)=>{const u={name:t,inputTypes:[i.GpuDataType.default,i.GpuDataType.default],cacheHint:s};return Object.assign(Object.assign({},u),{get:()=>((e,t,n,a,s,u=t.dataType)=>{var c,l;const d=!r.ShapeUtil.areEqual(t.dims,n.dims);let p=t.dims,f=r.ShapeUtil.size(t.dims),h=!1;if(d){const e=r.BroadcastUtil.calcShape(t.dims,n.dims,!1);if(!e)throw new Error("Can't perform binary op on the given tensors");p=e,f=r.ShapeUtil.size(p);let i=1;for(let e=0;e<p.length;e++){const r=null!==(c=t.dims[t.dims.length-e])&&void 0!==c?c:1;if(r!==(null!==(l=n.dims[n.dims.length-e])&&void 0!==l?l:1))break;i*=r}i%4==0&&(h=!0)}else h=!0;return Object.assign(Object.assign({},e),{getShaderSource:e=>((e,t,n,i,a,s,u,c,l="f32",d="f32",p="f32")=>{const f=r.ShapeUtil.size(i),h=Math.ceil(f/4);let g,m;"string"==typeof u?g=m=(e,t)=>`${u}((${e}),(${t}))`:"function"==typeof u?g=m=u:(g=u.scalar,m=u.vector);let b="";const y=(0,o.createIndicesHelper)("output",i);if(s){const e=e=>{const t=r.ShapeUtil.computeStrides(e),n=[];for(let r=e.length-1;r>=0;r--){const o=0===i.length?"0u":1===i.length?"(*outputIndices)":`(*outputIndices)[${r+i.length-e.length}]`;n.push(`${t[r]}u * (${o} % ${e[r]}u)`)}return n.length>0?n.join("+"):"0u"};b=`\n  ${y.o2iImpl}\n\n  fn calcOffsetA(outputIndices: ptr<function, ${y.iType}>) -> u32 {\n    return ${e(t)};\n  }\n\n  fn calcOffsetB(outputIndices: ptr<function, ${y.iType}>) -> u32 {\n    return ${e(n)};\n  }\n  `}let _;if(a)_=s?`\n      ${y.indicesVariableDeclaration("outputIndices")}\n      ${y.o2iCall("global_idx * 4u","outputIndices")}\n      let offsetA = calcOffsetA(&outputIndices);\n      let offsetB = calcOffsetB(&outputIndices);\n      outputData[global_idx] = ${m("aData[offsetA / 4u]","bData[offsetB / 4u]")};`:`outputData[global_idx] = ${m("aData[global_idx]","bData[global_idx]")};`;else{if(!s)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");const e=e=>{const t=`aData[indexA${e}][componentA${e}]`,n=`bData[indexB${e}][componentB${e}]`;return`\n      ${y.o2iCall(`global_idx * 4u + ${e}u`,"outputIndices")}\n      let offsetA${e} = calcOffsetA(&outputIndices);\n      let offsetB${e} = calcOffsetB(&outputIndices);\n      let indexA${e} = offsetA${e} / 4u;\n      let indexB${e} = offsetB${e} / 4u;\n      let componentA${e} = offsetA${e} % 4u;\n      let componentB${e} = offsetB${e} % 4u;\n      outputData[global_idx][${e}] = ${g(t,n)};`};_=`\n      ${y.indicesVariableDeclaration("outputIndices")}\n      ${e(0)}\n      ${e(1)}\n      ${e(2)}\n      ${e(3)}`}return`\n  @group(0) @binding(0) var<storage, read> aData : array<vec4<${l}>>;\n  @group(0) @binding(1) var<storage, read> bData : array<vec4<${d}>>;\n  @group(0) @binding(2) var<storage, read_write> outputData : array<vec4<${p}>>;\n\n  ${null!=c?c:""}\n  ${b}\n\n  ${e.mainStart()}\n    ${e.guardAgainstOutOfBoundsWorkgroupSizes(h)}\n    ${_}\n  }`})(e,t.dims,n.dims,p,h,d,a,s),outputs:[{dims:p,dataType:u,gpuDataType:i.GpuDataType.default}],dispatchGroup:()=>({x:Math.ceil(f/64/(h?4:1))})})})(u,e[0],e[1],n,a)})};t.add=e=>{e.compute(a(e.inputs,"Add",((e,t)=>`${e}+${t}`)))},t.div=e=>{e.compute(a(e.inputs,"Div",((e,t)=>`${e}/${t}`)))},t.mul=e=>{e.compute(a(e.inputs,"Mul",((e,t)=>`${e}*${t}`)))},t.pow=e=>{e.compute(a(e.inputs,"Pow",{scalar:(e,t)=>`pow_f32(${e},${t})`,vector:(e,t)=>`pow_vf32(${e},${t})`},"\n    fn pow_f32(a : f32, b : f32) -> f32 {\n      if (b == 0.0) {\n        return 1.0;\n      } else if (a < 0.0 && b != floor(b)) {\n        return pow(a, b); // NaN\n      }\n      return select(sign(a), 1.0, round(abs(b) % 2.0) != 1.0) * pow(abs(a), b);\n    }\n    fn pow_vf32(a : vec4<f32>, b : vec4<f32>) -> vec4<f32> {\n      // TODO: implement vectorized pow\n      return vec4<f32>(pow_f32(a.x, b.x), pow_f32(a.y, b.y), pow_f32(a.z, b.z), pow_f32(a.w, b.w));\n    }\n      "))},t.sub=e=>{e.compute(a(e.inputs,"Sub",((e,t)=>`${e}-${t}`)))}},2075:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createShaderHelper=t.createIndicesHelper=t.WORKGROUP_SIZE=void 0;const r=n(6952);t.WORKGROUP_SIZE=64,t.createIndicesHelper=(e,t)=>{const n=t.length<2?"u32":`array<u32, ${t.length}>`,i=r.ShapeUtil.computeStrides(t);let o="";for(let e=0;e<t.length-1;e++)o+=`\n    let dim${e} = current / ${i[e]}u;\n    let rest${e} = current % ${i[e]}u;\n    (*indices)[${e}] = dim${e};\n    current = rest${e};\n    `;o+=`(*indices)[${t.length-1}] = current;`;const a=t.length<2?"":`\n  fn ih_o2i_${e}(offset: u32, indices: ptr<function, ${n}>) {\n    var current = offset;\n    ${o}\n  }`,s=[];if(0===t.length)s.push("0u");else if(t.length<2)s.push("(*indices)");else for(let e=t.length-1;e>=0;e--)s.push(`${i[e]}u * ((*indices)[${e}])`);return{o2iImpl:a,o2iCall:(n,r)=>t.length<2?`${r}=${n};`:`ih_o2i_${e}(${n}, &${r});`,i2oImpl:t.length<2?"":`\n  fn ih_i2o_${e}(indices: ptr<function, ${n}>) -> u32 {\n    return ${s.join("+")};\n  }`,i2oExpression:(n,r)=>t.length<2?`(${r?"*":""}${n})`:`ih_i2o_${e}(${r?"":"&"}${n})`,indicesVariableDeclaration:(e,t)=>`var ${e}:${n}${t?`=${n}(${t.join(",")})`:""};`,iType:n}};class i{constructor(e){this.normalizedDispatchGroup=e}guardAgainstOutOfBoundsWorkgroupSizes(e){return`if (global_idx >= ${"number"==typeof e?`${e}u`:e}) { return; }`}mainStart(e=t.WORKGROUP_SIZE){const n="number"==typeof e?e:e[0],r="number"==typeof e?1:e[1],i="number"==typeof e?1:e[2],o=1===this.normalizedDispatchGroup[1]&&1===this.normalizedDispatchGroup[2];return`@compute @workgroup_size(${n}, ${r}, ${i})\n  fn main(${o?"@builtin(global_invocation_id) global_id : vec3<u32>":"@builtin(local_invocation_index) local_index : u32,\n    @builtin(workgroup_id) workgroup_id : vec3<u32>"}) {\n    ${o?"let global_idx = global_id.x;":`let global_idx = (workgroup_id.z * ${this.normalizedDispatchGroup[0]*this.normalizedDispatchGroup[1]}u +\n          workgroup_id.y * ${this.normalizedDispatchGroup[0]}u + workgroup_id.x) * ${n*r*i}u + local_index;`}\n  `}}t.createShaderHelper=e=>new i(e)},9192:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createGroupedConvProgramInfoLoader=void 0;const r=n(6952),i=n(1163),o=n(2075),a=n(9770),s=n(3997);t.createGroupedConvProgramInfoLoader=(e,t,n)=>{const u=(c=e.length>2,l=t.cacheKey,{name:"GroupedConv",inputTypes:c?[i.GpuDataType.default,i.GpuDataType.default,i.GpuDataType.default]:[i.GpuDataType.default,i.GpuDataType.default],cacheHint:l});var c,l;return Object.assign(Object.assign({},u),{get:()=>((e,t,n,u)=>{const c=e.length>2,l=c?"value += b[output_channel];":"",d=e[0].dims,p=e[1].dims,f=p[0]/n.group,h="f32",{activationFunction:g,applyActivation:m}=(0,s.getActicationSnippet)(n),b=[`@group(0) @binding(0) var<storage, read> x : array<${h}>;`,`@group(0) @binding(1) var<storage, read> w : array<${h}>;`];c&&b.push(`@group(0) @binding(2) var<storage, read> b : array<${h}>;`);const y="NHWC"===n.format,_=(0,a.calculateOutputShape)(d,p,n.dilations,n.pads,n.strides,y),v=r.ShapeUtil.size(_),w=(0,o.createIndicesHelper)("output",_),x=(0,o.createIndicesHelper)("x",d),T=(0,o.createIndicesHelper)("w",p);return Object.assign(Object.assign({},t),{outputs:[{dims:u?u(_):_,dataType:e[0].dataType,gpuDataType:i.GpuDataType.default}],getShaderSource:e=>`\n  const strides: vec2<u32> = vec2(${n.strides[0]}u, ${n.strides[1]}u);\n  const pads: vec2<u32> = vec2(${n.pads[0]}u, ${n.pads[1]}u);\n\n  ${b.join("\n")}\n  @group(0) @binding(${b.length}) var<storage, read_write> output : array<${h}>;\n\n  ${g}\n  ${w.o2iImpl}\n  ${x.i2oImpl}\n  ${T.i2oImpl}\n\n  ${e.mainStart()}\n    ${e.guardAgainstOutOfBoundsWorkgroupSizes(v)}\n\n    ${w.indicesVariableDeclaration("outputIndices")}\n    ${w.o2iCall("global_idx","outputIndices")}\n    let batch: u32 = outputIndices[0];\n    let output_channel: u32 = outputIndices[${y?3:1}];\n    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${y?1:2}], outputIndices[${y?2:3}]) * strides - pads;\n    let group_id: u32 = output_channel / ${f}u;\n\n    var value: ${h} = ${h}(0);\n    for (var wInChannel: u32 = 0u; wInChannel < ${p[1]}u; wInChannel++) {\n      let input_channel = group_id * ${p[1]}u + wInChannel;\n      for (var wHeight: u32 = 0u; wHeight < ${p[2]}u; wHeight++) {\n        let xHeight = xRCCorner.x + wHeight * ${n.dilations[0]}u;\n\n        if (xHeight < 0u || xHeight >= ${d[y?1:2]}u) {\n          continue;\n        }\n\n        for (var wWidth: u32 = 0u; wWidth < ${p[3]}u; wWidth++) {\n          let xWidth = xRCCorner.y + wWidth * ${n.dilations[1]}u;\n          if (xWidth < 0u || xWidth >= ${d[y?2:3]}u) {\n            continue;\n          }\n\n          ${x.indicesVariableDeclaration("xIndices",y?["batch","xHeight","xWidth","input_channel"]:["batch","input_channel","xHeight","xWidth"])}\n          let xVal = x[${x.i2oExpression("xIndices")}];\n          ${T.indicesVariableDeclaration("wIndices",["output_channel","wInChannel","wHeight","wWidth"])}\n          let wVal = w[${T.i2oExpression("wIndices")}];\n          value += xVal*wVal;\n        }\n      }\n    }\n    ${l}\n    ${m}\n    output[global_idx] = value;\n  }`,dispatchGroup:()=>({x:Math.ceil(v/64)})})})(e,u,t,n)})}},9770:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.conv=t.parseConvAttributes=t.calculateOutputShape=void 0;const r=n(6952),i=n(387),o=n(9192),a=n(3822),s=n(3997),u=n(2625);t.calculateOutputShape=(e,t,n,r,i,o)=>{const a=e[0],s=e.slice(o?1:2,o?3:4),u=s.length,c=t[0],l=t.slice(2).map(((e,t)=>e+(e-1)*(n[t]-1))),d=s.map(((e,t)=>e+r[t]+r[t+u])).map(((e,t)=>Math.floor((e-l[t]+i[t])/i[t])));return d.splice(0,0,a),d.splice(o?3:1,0,c),d};const c=(0,i.createAttributeWithCacheKey)({perm:[2,3,1,0]}),l=(e,t)=>{const n=e.kernelShape.slice();for(let e=2;e<t[1].dims.length;++e)0===n[e-2]&&(n[e-2]=t[1].dims[e]);const i=e.pads.slice();r.PoolConvUtil.adjustPadsBasedOnAutoPad(t[0].dims,e.strides,e.dilations,n,i,"NHWC"===e.format,e.autoPad);const o=Object.assign({},e);return Object.assign(o,{kernelShape:n,pads:i,cacheKey:e.cacheKey}),o};t.parseConvAttributes=e=>{const t=(0,s.parseInternalActivationAttributes)(e),n=e.format,r=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],o=e.dilations,a=e.group,u=e.kernel_shape,c=e.pads,l=e.strides,d=e.w_is_const();return(0,i.createAttributeWithCacheKey)(Object.assign({autoPad:r,format:n,dilations:o,group:a,kernelShape:u,pads:c,strides:l,wIsConst:d},t))},t.conv=(e,n)=>{((e,t)=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==e[0].dims.length&&3!==e[0].dims.length)throw new Error("currently only support conv 1D and 2D");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");if(e[0].dims["NHWC"===t.format?e[0].dims.length-1:1]!==e[1].dims[1]*t.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(3===e.length&&(1!==e[2].dims.length||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");const n=e[0].dims.length-2;if(t.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(t.strides.length!==n)throw new Error(`strides should be ${n}D`);if(t.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==t.kernelShape.length&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(1!==e[0].dataType||1!==e[1].dataType)throw new Error("Conv input(X,W) should be float tensor");if(3===e.length&&1!==e[2].dataType)throw new Error("Conv input(bias) should be float tensor")})(e.inputs,n),3===e.inputs[0].dims.length?((e,t)=>{const n="NHWC"===t.format,r=[e.inputs[0].reshape(n?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];3===e.inputs.length&&r.push(e.inputs[2]);const i=[0,t.pads[0],0,t.pads[1]],a=[1].concat(t.strides),s=[1].concat(t.dilations),u=[1].concat(t.kernelShape),c=l(Object.assign(Object.assign({},t),{pads:i,strides:a,dilations:s,kernelShape:u}),r);e.compute((0,o.createGroupedConvProgramInfoLoader)(r,c,(e=>n?[e[0],e[2],e[3]]:[])))})(e,n):((e,n,r)=>{var i;const s=l(r,n),d=3===n.length,p="NHWC"===r.format,f=n[0].dims[p?1:2],h=n[0].dims[p?2:3],g=n[0].dims[p?3:1],m=n[1].dims[2],b=n[1].dims[3],y=(0,t.calculateOutputShape)(n[0].dims,n[1].dims,r.dilations,s.pads,r.strides,p),_=y[p?1:2],v=y[p?2:3],w=y[p?3:1];if(p&&m===f&&b===h&&"VALID"===r.autoPad||1===m&&1===b&&1===r.dilations[0]&&1===r.dilations[1]&&1===r.strides[0]&&1===r.strides[1]&&("SAME_UPPER"===r.autoPad||"SAME_LOWER"===r.autoPad||"VALID"===r.autoPad))return void e.compute((0,o.createGroupedConvProgramInfoLoader)(n,s));if(!p||1!==r.group)return void e.compute((0,o.createGroupedConvProgramInfoLoader)(n,s));const x=p?_*v:w,T=p?w:_*v,S=m*b*g,O=null!==(i=e.customData.wT)&&void 0!==i?i:e.compute(Object.assign(Object.assign({},u.transposeProgramMetadata),{cacheHint:c.cacheKey,get:()=>(0,u.createTransposeProgramInfo)(n[1],c.perm)}),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.customData.wT&&(e.customData.wT=O);const A=[n[0],O];d&&(p||1!==n[2].dims.length?A.push(n[2]):A.push(n[2].reshape([n[2].dims[0],1,1]))),e.compute((0,a.createConv2DMatMulProgramInfoLoader)(A,s,y,x,T,S,d,!0),{inputs:A})})(e,e.inputs,n)}},3822:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.createConv2DMatMulProgramInfoLoader=void 0;const r=n(1163),i=n(9456);t.createConv2DMatMulProgramInfoLoader=(e,t,n,o,a,s,u,c)=>{const l=((e,t)=>({name:"Conv2DMatMul",inputTypes:e?[r.GpuDataType.default,r.GpuDataType.default,r.GpuDataType.default]:[r.GpuDataType.default,r.GpuDataType.default],cacheHint:t}))(u,t.cacheKey);return Object.assign(Object.assign({},l),{get:()=>(0,i.createConv2DMatMulProgramInfo)(e,l,t,n,o,a,s,u,c)})}},3997:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseInternalActivationAttributes=t.getActicationSnippet=void 0;const r=n(6952);t.getActicationSnippet=e=>{switch(e.activation){case"Relu":return{activationFunction:"",applyActivation:"value = max(value, 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global_id.x % N;\n\n    var value = ${f}(0);\n    for (var k: u32 = 0u; k<${c}u; k++) {\n      ${p}\n    }\n\n    ${h}\n    ${g}\n    output[global_id.x] = value;\n\n  }`,dispatchGroup:()=>({x:Math.ceil(d/64)})})})(n,e,t)})})(e.inputs,t))},t.parseGemmAttributes=e=>(0,i.createAttributeWithCacheKey)(e)},1522:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.matMul=t.createMatmulProgramInfoLoader=void 0;const r=n(6952),i=n(1163),o=n(3997);t.createMatmulProgramInfoLoader=(e,t)=>{const n=(a=e.length>2,s=t.activationCacheKey,{name:"MatMul",inputTypes:a?[i.GpuDataType.default,i.GpuDataType.default,i.GpuDataType.default]:[i.GpuDataType.default,i.GpuDataType.default],cacheHint:s});var a,s;return Object.assign(Object.assign({},n),{get:()=>((e,t,n)=>{const a=t[0].dims,s=t[1].dims,u=r.BroadcastUtil.calcShape(a,s,!0);if(!u)throw new Error("Can't use matmul on the given tensors");const c=r.ShapeUtil.size(u),l="f32",{activationFunction:d,applyActivation:p}=(0,o.getActicationSnippet)(n),f=u[u.length-2],h=a[a.length-1],g=u[u.length-1];return Object.assign(Object.assign({},e),{outputs:[{dims:u,dataType:t[0].dataType,gpuDataType:i.GpuDataType.default}],getShaderSource:e=>`\n  const M: u32 = ${f}u;\n  const N: u32 = ${g}u;\n  const K: u32 = ${h}u;\n\n  @group(0) @binding(0) var<storage, read> a : array<${l}>;\n  @group(0) @binding(1) var<storage, read> b : array<${l}>;\n  @group(0) @binding(2) var<storage, read_write> output : array<${l}>;\n\n  ${d}\n\n  ${e.mainStart()}\n    ${e.guardAgainstOutOfBoundsWorkgroupSizes(c)}\n\n    let stack = global_idx / (M * N);\n    let mn = global_idx % (M * N);\n    let n = global_idx % N;\n    let m = mn / N;\n\n    let offsetA = stack * (M * K);\n    let offsetB = stack * (K * N);\n\n    var value = ${l}(0);\n    for (var k: u32 = 0u; k<${h}u; k++) {\n      value += a[offsetA + m * K + k] * b[offsetB + k * N + n];\n    }\n    ${p}\n    output[global_idx] = value;\n  }`,dispatchGroup:()=>({x:Math.ceil(c/64)})})})(n,e,t)})},t.matMul=e=>{(e=>{if(!e||2!==e.length)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.");if(1!==e[0].dataType||1!==e[1].dataType)throw new Error("inputs should be float type")})(e.inputs),e.compute((0,t.createMatmulProgramInfoLoader)(e.inputs,{activation:"",activationCacheKey:""}))}},5262:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.globalMaxPool=t.parseGlobalMaxPoolAttributes=t.parseMaxPoolAttributes=t.maxPool=t.globalAveragePool=t.parseGlobalAveragePoolAttributes=t.averagePool=t.parseAveragePoolAttributes=void 0;const r=n(6952),i=n(387),o=n(1163),a=n(2075),s=e=>{if(!e||1!==e.length)throw new Error("Pool ops requires 1 input.");if(4!==e[0].dims.length)throw new Error("Pool ops supports 2-D inputs only for now.");if(1!==e[0].dataType)throw new Error("Invalid input type.")},u=(e,t,n)=>{const i="NHWC"===t.format,o=i?[e[0].dims[0],e[0].dims[3],e[0].dims[1],e[0].dims[2]]:e[0].dims.slice(),a=Object.hasOwnProperty.call(t,"dilations"),s=t.kernelShape.slice(),u=t.strides.slice(),c=a?t.dilations.slice():[],l=t.pads.slice();r.PoolConvUtil.adjustPoolAttributes(n,o,s,u,c,l);const d=r.PoolConvUtil.computePoolOutputShape(n,o,u,c,s,l,t.autoPad),p=Object.assign({},t);return a?Object.assign(p,{kernelShape:s,strides:u,pads:l,dilations:c,cacheKey:t.cacheKey}):Object.assign(p,{kernelShape:s,strides:u,pads:l,cacheKey:t.cacheKey}),[p,i?[d[0],d[2],d[3],d[1]]:d]},c=(e,t,n,i,o,s,u,c)=>{const l="NHWC"===i.format,d=t.length,p=r.ShapeUtil.size(n),f=(0,a.createIndicesHelper)("output",n),h=(0,a.createIndicesHelper)("x",t);if(i.kernelShape.length<=2){const n=i.kernelShape[i.kernelShape.length-1],r=i.strides[i.strides.length-1],a=i.pads[i.pads.length/2-1],g=d-(l?2:1);let m="",b="",y="";if(m=a+i.pads[i.pads.length-1]!==0?`\n              for (var i: u32 = 0u; i < ${n}u; i++) {\n                xIndices[${g}] = indices[${g}] * ${r} - ${a} + i;\n                if (xIndices[${g}] < 0 || xIndices[${g}] >= ${t[g]}) {\n                  pad++;\n                  continue;\n                }\n                let x_val = x[${h.i2oExpression("xIndices")}];\n                ${o}\n              }`:`\n              for (var i: u32 = 0u; i < ${n}u; i++) {\n                xIndices[${g}] = indices[${g}] * ${r} - ${a} + i;\n                let x_val = x[${h.i2oExpression("xIndices")}];\n                ${o}\n              }`,2===i.kernelShape.length){const e=i.kernelShape[i.kernelShape.length-2],r=i.strides[i.strides.length-2],o=i.pads[i.pads.length/2-2],a=i.pads[i.pads.length-2],s=d-(l?3:2),u=t[s];b=o+a!==0?`\n                for (var j: u32 = 0u; j < ${e}u; j++) {\n                  xIndices[${s}] = indices[${s}] * ${r} - ${o} + j;\n                  if (xIndices[${s}] < 0 || xIndices[${s}] >= ${u}) {\n                    pad+= ${n};\n                    continue;\n                  }\n              `:`\n                for (var j: u32 = 0u; j < ${e}u; j++) {\n                  xIndices[${s}] = indices[${s}] * ${r} - ${o} + j;\n                `,y="\n              }\n            "}return`\n            @group(0) @binding(0) var<storage, read> x : array<${u}>;\n            @group(0) @binding(1) var<storage, read_write> output : array<${u}>;\n\n            ${f.o2iImpl}\n            ${h.i2oImpl}\n\n            ${e.mainStart()}\n              ${e.guardAgainstOutOfBoundsWorkgroupSizes(p)}\n\n              ${f.indicesVariableDeclaration("indices")}\n              ${f.o2iCall("global_idx","indices")}\n              ${f.indicesVariableDeclaration("xIndices")}\n              ${f.o2iCall("global_idx","xIndices")}\n\n              var value: ${u} = ${u}(${c});\n              var pad = 0;\n              ${b}\n              ${m}\n              ${y}\n              ${s}\n\n              output[global_idx] = value;\n            }`}{if(l)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");const n=r.ShapeUtil.size(i.kernelShape),a=r.ShapeUtil.computeStrides(i.kernelShape),g=a.length,m=i.pads.length;let b="";return b=i.pads.reduce(((e,t)=>e+t))?`\n                if (xIndices[j] >= inputDims[j]) {\n                  pad++;\n                  isPad = true;\n                  break;\n                }\n              }\n              if (!isPad) {\n                let x_val = x[${h.i2oExpression("xIndices")}];\n                ${o}\n              }`:`\n              }\n              let x_val = x[${h.i2oExpression("xIndices")}];\n              ${o}\n            `,`\n            @group(0) @binding(0) var<storage, read> x : array<${u}>;\n            @group(0) @binding(1) var<storage, read_write> output : array<${u}>;\n\n            ${f.o2iImpl}\n            ${h.i2oImpl}\n\n            const pads = array<u32, ${m}>(${i.pads.map((e=>`${e}u`)).join(",")});\n            const inputDims = array<u32, ${d}>(${t.map((e=>`${e}u`)).join(",")});\n            const kernelStrides = array<u32, ${g}>(${a.map((e=>`${e}u`)).join(",")});\n            const strides = array<u32, ${g}>(${i.strides.map((e=>`${e}u`)).join(",")});\n\n            ${e.mainStart()}\n              ${e.guardAgainstOutOfBoundsWorkgroupSizes(p)}\n\n              ${f.indicesVariableDeclaration("indices")}\n              ${f.o2iCall("global_idx","indices")}\n              ${f.indicesVariableDeclaration("xIndices")}\n              ${f.o2iCall("global_idx","xIndices")}\n\n              var offsets: array<u32, ${g}>;\n\n              var value = ${u}(${c});\n              var pad = 0;\n              var isPad = false;\n\n              for (var i: u32 = 0u; i < ${n}u; i++) {\n                var offset = i;\n                for (var j = 0u; j < ${g-1}u; j++) {\n                  offsets[j] = offset / kernelStrides[j];\n                  offset -= offsets[j] * kernelStrides[j];\n                }\n                offsets[${g-1}] = offset;\n\n                isPad = false;\n                for (var j = ${d-g}u; j < ${d}u; j++) {\n                  xIndices[j] = indices[j] * strides[j - ${d-g}u]\n                    + offsets[j - ${d-g}u] - pads[j - 2u];\n                  ${b}\n              }\n              ${s}\n\n              output[global_idx] = value;\n            }`}},l=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),d=(e,t,n,i)=>{const[a,s]=u(e,i,n),l=r.ShapeUtil.size(a.kernelShape),d="f32";let p="";return a.countIncludePad?p+=`value /= ${d}(${l});`:p+=`value /= ${d}(${l} - pad);`,Object.assign(Object.assign({},t),{outputs:[{dims:s,dataType:e[0].dataType,gpuDataType:o.GpuDataType.default}],getShaderSource:t=>c(t,e[0].dims,s,a,"value += x_val;",p,d,"0.0"),dispatchGroup:()=>({x:Math.ceil(r.ShapeUtil.size(s)/64)})})};t.parseAveragePoolAttributes=e=>{const t=0!==e.count_include_pad,n=l(e);if(0!==n.ceilMode)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return(0,i.createAttributeWithCacheKey)(Object.assign({countIncludePad:t},n))},t.averagePool=(e,t)=>{s(e.inputs);const n={name:"AveragePool",inputTypes:[o.GpuDataType.default],cacheHint:t.cacheKey};e.compute(Object.assign(Object.assign({},n),{get:()=>d(e.inputs,n,!1,t)}))};const p={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""};t.parseGlobalAveragePoolAttributes=e=>{const t=e.format;return Object.assign(Object.assign({format:t},p),{cacheKey:t})},t.globalAveragePool=(e,t)=>{s(e.inputs);const n={name:"GlobalAveragePool",inputTypes:[o.GpuDataType.default],cacheHint:t.cacheKey};e.compute(Object.assign(Object.assign({},n),{get:()=>d(e.inputs,n,!0,t)}))};const f=(e,t,n,i)=>{const[a,s]=u(e,i,n);return Object.assign(Object.assign({},t),{outputs:[{dims:s,dataType:e[0].dataType,gpuDataType:o.GpuDataType.default}],getShaderSource:t=>c(t,e[0].dims,s,a,"\n      value = max(x_val, value);\n    ","","f32","-1e5"),dispatchGroup:()=>({x:Math.ceil(r.ShapeUtil.size(s)/64)})})};t.maxPool=(e,t)=>{s(e.inputs);const n={name:"MaxPool",inputTypes:[o.GpuDataType.default],cacheHint:t.cacheKey};e.compute(Object.assign(Object.assign({},n),{get:()=>f(e.inputs,n,!1,t)}))},t.parseMaxPoolAttributes=e=>{const t=e.storage_order,n=e.dilations,r=l(e);if(0!==t)throw new Error("column major storage order is not yet supported for MaxPool");if(0!==r.ceilMode)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return(0,i.createAttributeWithCacheKey)(Object.assign({storageOrder:t,dilations:n},r))},t.parseGlobalMaxPoolAttributes=e=>{const t=e.format;return Object.assign(Object.assign({format:t},p),{cacheKey:t})},t.globalMaxPool=(e,t)=>{s(e.inputs);const n={name:"GlobalMaxPool",inputTypes:[o.GpuDataType.default],cacheHint:t.cacheKey};e.compute(Object.assign(Object.assign({},n),{get:()=>f(e.inputs,n,!0,t)}))}},2625:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.parseTransposeAttributes=t.transpose=t.createTransposeProgramInfo=t.transposeProgramMetadata=void 0;const r=n(6952),i=n(387),o=n(1163),a=n(2075);t.transposeProgramMetadata={name:"Transpose",inputTypes:[o.GpuDataType.default]};const s=(e,t)=>t&&t.length!==e.length?[...e.keys()].reverse():t;t.createTransposeProgramInfo=(e,n)=>{const i=e.dims,u=s(i,n),c=((e,t)=>r.ShapeUtil.sortBasedOnPerm(e,s(e,t)))(i,u),l=i.length,d=r.ShapeUtil.size(c),p=(0,a.createIndicesHelper)("output",c),f=(0,a.createIndicesHelper)("a",i);return Object.assign(Object.assign({},t.transposeProgramMetadata),{outputs:[{dims:c,dataType:e.dataType,gpuDataType:o.GpuDataType.default}],getShaderSource:e=>`\n  @group(0) @binding(0) var<storage, read> a : array<f32>;\n  @group(0) @binding(1) 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TypeError(".onnx.AttributeProto.graphs: array expected");for(t.graphs=[],n=0;n<e.graphs.length;++n){if("object"!=typeof e.graphs[n])throw TypeError(".onnx.AttributeProto.graphs: object expected");t.graphs[n]=l.onnx.GraphProto.fromObject(e.graphs[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[]),t.defaults){if(n.name="",n.f=0,c.Long){var r=new c.Long(0,0,!1);n.i=t.longs===String?r.toString():t.longs===Number?r.toNumber():r}else n.i=t.longs===String?"0":0;t.bytes===String?n.s="":(n.s=[],t.bytes!==Array&&(n.s=c.newBuffer(n.s))),n.t=null,n.g=null,n.docString="",n.type=t.enums===String?"UNDEFINED":0,n.refAttrName=""}if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),null!=e.f&&e.hasOwnProperty("f")&&(n.f=t.json&&!isFinite(e.f)?String(e.f):e.f),null!=e.i&&e.hasOwnProperty("i")&&("number"==typeof 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n=0;n<e.input.length;++n)t.uint32(10).string(e.input[n]);if(null!=e.output&&e.output.length)for(n=0;n<e.output.length;++n)t.uint32(18).string(e.output[n]);if(null!=e.name&&e.hasOwnProperty("name")&&t.uint32(26).string(e.name),null!=e.opType&&e.hasOwnProperty("opType")&&t.uint32(34).string(e.opType),null!=e.attribute&&e.attribute.length)for(n=0;n<e.attribute.length;++n)l.onnx.AttributeProto.encode(e.attribute[n],t.uint32(42).fork()).ldelim();return null!=e.docString&&e.hasOwnProperty("docString")&&t.uint32(50).string(e.docString),null!=e.domain&&e.hasOwnProperty("domain")&&t.uint32(58).string(e.domain),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.NodeProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.input&&r.input.length||(r.input=[]),r.input.push(e.string());break;case 2:r.output&&r.output.length||(r.output=[]),r.output.push(e.string());break;case 3:r.name=e.string();break;case 4:r.opType=e.string();break;case 7:r.domain=e.string();break;case 5:r.attribute&&r.attribute.length||(r.attribute=[]),r.attribute.push(l.onnx.AttributeProto.decode(e,e.uint32()));break;case 6:r.docString=e.string();break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.input&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(var t=0;t<e.input.length;++t)if(!c.isString(e.input[t]))return"input: string[] expected"}if(null!=e.output&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(t=0;t<e.output.length;++t)if(!c.isString(e.output[t]))return"output: string[] expected"}if(null!=e.name&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(null!=e.opType&&e.hasOwnProperty("opType")&&!c.isString(e.opType))return"opType: string expected";if(null!=e.domain&&e.hasOwnProperty("domain")&&!c.isString(e.domain))return"domain: string expected";if(null!=e.attribute&&e.hasOwnProperty("attribute")){if(!Array.isArray(e.attribute))return"attribute: array expected";for(t=0;t<e.attribute.length;++t){var n=l.onnx.AttributeProto.verify(e.attribute[t]);if(n)return"attribute."+n}}return null!=e.docString&&e.hasOwnProperty("docString")&&!c.isString(e.docString)?"docString: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.NodeProto)return e;var t=new l.onnx.NodeProto;if(e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.NodeProto.input: array expected");t.input=[];for(var n=0;n<e.input.length;++n)t.input[n]=String(e.input[n])}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.NodeProto.output: array expected");for(t.output=[],n=0;n<e.output.length;++n)t.output[n]=String(e.output[n])}if(null!=e.name&&(t.name=String(e.name)),null!=e.opType&&(t.opType=String(e.opType)),null!=e.domain&&(t.domain=String(e.domain)),e.attribute){if(!Array.isArray(e.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");for(t.attribute=[],n=0;n<e.attribute.length;++n){if("object"!=typeof e.attribute[n])throw TypeError(".onnx.NodeProto.attribute: object expected");t.attribute[n]=l.onnx.AttributeProto.fromObject(e.attribute[n])}}return null!=e.docString&&(t.docString=String(e.docString)),t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.input=[],n.output=[],n.attribute=[]),t.defaults&&(n.name="",n.opType="",n.docString="",n.domain=""),e.input&&e.input.length){n.input=[];for(var r=0;r<e.input.length;++r)n.input[r]=e.input[r]}if(e.output&&e.output.length)for(n.output=[],r=0;r<e.output.length;++r)n.output[r]=e.output[r];if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),null!=e.opType&&e.hasOwnProperty("opType")&&(n.opType=e.opType),e.attribute&&e.attribute.length)for(n.attribute=[],r=0;r<e.attribute.length;++r)n.attribute[r]=l.onnx.AttributeProto.toObject(e.attribute[r],t);return null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),o.ModelProto=function(){function e(e){if(this.opsetImport=[],this.metadataProps=[],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.irVersion=c.Long?c.Long.fromBits(0,0,!1):0,e.prototype.opsetImport=c.emptyArray,e.prototype.producerName="",e.prototype.producerVersion="",e.prototype.domain="",e.prototype.modelVersion=c.Long?c.Long.fromBits(0,0,!1):0,e.prototype.docString="",e.prototype.graph=null,e.prototype.metadataProps=c.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=u.create()),null!=e.irVersion&&e.hasOwnProperty("irVersion")&&t.uint32(8).int64(e.irVersion),null!=e.producerName&&e.hasOwnProperty("producerName")&&t.uint32(18).string(e.producerName),null!=e.producerVersion&&e.hasOwnProperty("producerVersion")&&t.uint32(26).string(e.producerVersion),null!=e.domain&&e.hasOwnProperty("domain")&&t.uint32(34).string(e.domain),null!=e.modelVersion&&e.hasOwnProperty("modelVersion")&&t.uint32(40).int64(e.modelVersion),null!=e.docString&&e.hasOwnProperty("docString")&&t.uint32(50).string(e.docString),null!=e.graph&&e.hasOwnProperty("graph")&&l.onnx.GraphProto.encode(e.graph,t.uint32(58).fork()).ldelim(),null!=e.opsetImport&&e.opsetImport.length)for(var n=0;n<e.opsetImport.length;++n)l.onnx.OperatorSetIdProto.encode(e.opsetImport[n],t.uint32(66).fork()).ldelim();if(null!=e.metadataProps&&e.metadataProps.length)for(n=0;n<e.metadataProps.length;++n)l.onnx.StringStringEntryProto.encode(e.metadataProps[n],t.uint32(114).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.ModelProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.irVersion=e.int64();break;case 8:r.opsetImport&&r.opsetImport.length||(r.opsetImport=[]),r.opsetImport.push(l.onnx.OperatorSetIdProto.decode(e,e.uint32()));break;case 2:r.producerName=e.string();break;case 3:r.producerVersion=e.string();break;case 4:r.domain=e.string();break;case 5:r.modelVersion=e.int64();break;case 6:r.docString=e.string();break;case 7:r.graph=l.onnx.GraphProto.decode(e,e.uint32());break;case 14:r.metadataProps&&r.metadataProps.length||(r.metadataProps=[]),r.metadataProps.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.irVersion&&e.hasOwnProperty("irVersion")&&!(c.isInteger(e.irVersion)||e.irVersion&&c.isInteger(e.irVersion.low)&&c.isInteger(e.irVersion.high)))return"irVersion: integer|Long expected";if(null!=e.opsetImport&&e.hasOwnProperty("opsetImport")){if(!Array.isArray(e.opsetImport))return"opsetImport: array expected";for(var t=0;t<e.opsetImport.length;++t)if(n=l.onnx.OperatorSetIdProto.verify(e.opsetImport[t]))return"opsetImport."+n}if(null!=e.producerName&&e.hasOwnProperty("producerName")&&!c.isString(e.producerName))return"producerName: string expected";if(null!=e.producerVersion&&e.hasOwnProperty("producerVersion")&&!c.isString(e.producerVersion))return"producerVersion: string expected";if(null!=e.domain&&e.hasOwnProperty("domain")&&!c.isString(e.domain))return"domain: string expected";if(null!=e.modelVersion&&e.hasOwnProperty("modelVersion")&&!(c.isInteger(e.modelVersion)||e.modelVersion&&c.isInteger(e.modelVersion.low)&&c.isInteger(e.modelVersion.high)))return"modelVersion: integer|Long expected";if(null!=e.docString&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(null!=e.graph&&e.hasOwnProperty("graph")&&(n=l.onnx.GraphProto.verify(e.graph)))return"graph."+n;if(null!=e.metadataProps&&e.hasOwnProperty("metadataProps")){if(!Array.isArray(e.metadataProps))return"metadataProps: array expected";for(t=0;t<e.metadataProps.length;++t){var n;if(n=l.onnx.StringStringEntryProto.verify(e.metadataProps[t]))return"metadataProps."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.ModelProto)return e;var t=new l.onnx.ModelProto;if(null!=e.irVersion&&(c.Long?(t.irVersion=c.Long.fromValue(e.irVersion)).unsigned=!1:"string"==typeof e.irVersion?t.irVersion=parseInt(e.irVersion,10):"number"==typeof e.irVersion?t.irVersion=e.irVersion:"object"==typeof e.irVersion&&(t.irVersion=new c.LongBits(e.irVersion.low>>>0,e.irVersion.high>>>0).toNumber())),e.opsetImport){if(!Array.isArray(e.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");t.opsetImport=[];for(var n=0;n<e.opsetImport.length;++n){if("object"!=typeof e.opsetImport[n])throw TypeError(".onnx.ModelProto.opsetImport: object expected");t.opsetImport[n]=l.onnx.OperatorSetIdProto.fromObject(e.opsetImport[n])}}if(null!=e.producerName&&(t.producerName=String(e.producerName)),null!=e.producerVersion&&(t.producerVersion=String(e.producerVersion)),null!=e.domain&&(t.domain=String(e.domain)),null!=e.modelVersion&&(c.Long?(t.modelVersion=c.Long.fromValue(e.modelVersion)).unsigned=!1:"string"==typeof e.modelVersion?t.modelVersion=parseInt(e.modelVersion,10):"number"==typeof e.modelVersion?t.modelVersion=e.modelVersion:"object"==typeof e.modelVersion&&(t.modelVersion=new c.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber())),null!=e.docString&&(t.docString=String(e.docString)),null!=e.graph){if("object"!=typeof e.graph)throw TypeError(".onnx.ModelProto.graph: object expected");t.graph=l.onnx.GraphProto.fromObject(e.graph)}if(e.metadataProps){if(!Array.isArray(e.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");for(t.metadataProps=[],n=0;n<e.metadataProps.length;++n){if("object"!=typeof e.metadataProps[n])throw TypeError(".onnx.ModelProto.metadataProps: object expected");t.metadataProps[n]=l.onnx.StringStringEntryProto.fromObject(e.metadataProps[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.opsetImport=[],n.metadataProps=[]),t.defaults){if(c.Long){var r=new c.Long(0,0,!1);n.irVersion=t.longs===String?r.toString():t.longs===Number?r.toNumber():r}else n.irVersion=t.longs===String?"0":0;n.producerName="",n.producerVersion="",n.domain="",c.Long?(r=new c.Long(0,0,!1),n.modelVersion=t.longs===String?r.toString():t.longs===Number?r.toNumber():r):n.modelVersion=t.longs===String?"0":0,n.docString="",n.graph=null}if(null!=e.irVersion&&e.hasOwnProperty("irVersion")&&("number"==typeof e.irVersion?n.irVersion=t.longs===String?String(e.irVersion):e.irVersion:n.irVersion=t.longs===String?c.Long.prototype.toString.call(e.irVersion):t.longs===Number?new c.LongBits(e.irVersion.low>>>0,e.irVersion.high>>>0).toNumber():e.irVersion),null!=e.producerName&&e.hasOwnProperty("producerName")&&(n.producerName=e.producerName),null!=e.producerVersion&&e.hasOwnProperty("producerVersion")&&(n.producerVersion=e.producerVersion),null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),null!=e.modelVersion&&e.hasOwnProperty("modelVersion")&&("number"==typeof e.modelVersion?n.modelVersion=t.longs===String?String(e.modelVersion):e.modelVersion:n.modelVersion=t.longs===String?c.Long.prototype.toString.call(e.modelVersion):t.longs===Number?new c.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber():e.modelVersion),null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),null!=e.graph&&e.hasOwnProperty("graph")&&(n.graph=l.onnx.GraphProto.toObject(e.graph,t)),e.opsetImport&&e.opsetImport.length){n.opsetImport=[];for(var i=0;i<e.opsetImport.length;++i)n.opsetImport[i]=l.onnx.OperatorSetIdProto.toObject(e.opsetImport[i],t)}if(e.metadataProps&&e.metadataProps.length)for(n.metadataProps=[],i=0;i<e.metadataProps.length;++i)n.metadataProps[i]=l.onnx.StringStringEntryProto.toObject(e.metadataProps[i],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),o.StringStringEntryProto=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.key="",e.prototype.value="",e.create=function(t){return new e(t)},e.encode=function(e,t){return t||(t=u.create()),null!=e.key&&e.hasOwnProperty("key")&&t.uint32(10).string(e.key),null!=e.value&&e.hasOwnProperty("value")&&t.uint32(18).string(e.value),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.StringStringEntryProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.key=e.string();break;case 2:r.value=e.string();break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){return"object"!=typeof e||null===e?"object expected":null!=e.key&&e.hasOwnProperty("key")&&!c.isString(e.key)?"key: string expected":null!=e.value&&e.hasOwnProperty("value")&&!c.isString(e.value)?"value: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.StringStringEntryProto)return e;var t=new l.onnx.StringStringEntryProto;return null!=e.key&&(t.key=String(e.key)),null!=e.value&&(t.value=String(e.value)),t},e.toObject=function(e,t){t||(t={});var n={};return t.defaults&&(n.key="",n.value=""),null!=e.key&&e.hasOwnProperty("key")&&(n.key=e.key),null!=e.value&&e.hasOwnProperty("value")&&(n.value=e.value),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),o.TensorAnnotation=function(){function e(e){if(this.quantParameterTensorNames=[],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.tensorName="",e.prototype.quantParameterTensorNames=c.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=u.create()),null!=e.tensorName&&e.hasOwnProperty("tensorName")&&t.uint32(10).string(e.tensorName),null!=e.quantParameterTensorNames&&e.quantParameterTensorNames.length)for(var n=0;n<e.quantParameterTensorNames.length;++n)l.onnx.StringStringEntryProto.encode(e.quantParameterTensorNames[n],t.uint32(18).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TensorAnnotation;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.tensorName=e.string();break;case 2:r.quantParameterTensorNames&&r.quantParameterTensorNames.length||(r.quantParameterTensorNames=[]),r.quantParameterTensorNames.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.tensorName&&e.hasOwnProperty("tensorName")&&!c.isString(e.tensorName))return"tensorName: string expected";if(null!=e.quantParameterTensorNames&&e.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(e.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var t=0;t<e.quantParameterTensorNames.length;++t){var n=l.onnx.StringStringEntryProto.verify(e.quantParameterTensorNames[t]);if(n)return"quantParameterTensorNames."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.TensorAnnotation)return e;var t=new l.onnx.TensorAnnotation;if(null!=e.tensorName&&(t.tensorName=String(e.tensorName)),e.quantParameterTensorNames){if(!Array.isArray(e.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");t.quantParameterTensorNames=[];for(var n=0;n<e.quantParameterTensorNames.length;++n){if("object"!=typeof e.quantParameterTensorNames[n])throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");t.quantParameterTensorNames[n]=l.onnx.StringStringEntryProto.fromObject(e.quantParameterTensorNames[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.quantParameterTensorNames=[]),t.defaults&&(n.tensorName=""),null!=e.tensorName&&e.hasOwnProperty("tensorName")&&(n.tensorName=e.tensorName),e.quantParameterTensorNames&&e.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var r=0;r<e.quantParameterTensorNames.length;++r)n.quantParameterTensorNames[r]=l.onnx.StringStringEntryProto.toObject(e.quantParameterTensorNames[r],t)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),o.GraphProto=function(){function e(e){if(this.node=[],this.initializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],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.node=c.emptyArray,e.prototype.name="",e.prototype.initializer=c.emptyArray,e.prototype.docString="",e.prototype.input=c.emptyArray,e.prototype.output=c.emptyArray,e.prototype.valueInfo=c.emptyArray,e.prototype.quantizationAnnotation=c.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=u.create()),null!=e.node&&e.node.length)for(var n=0;n<e.node.length;++n)l.onnx.NodeProto.encode(e.node[n],t.uint32(10).fork()).ldelim();if(null!=e.name&&e.hasOwnProperty("name")&&t.uint32(18).string(e.name),null!=e.initializer&&e.initializer.length)for(n=0;n<e.initializer.length;++n)l.onnx.TensorProto.encode(e.initializer[n],t.uint32(42).fork()).ldelim();if(null!=e.docString&&e.hasOwnProperty("docString")&&t.uint32(82).string(e.docString),null!=e.input&&e.input.length)for(n=0;n<e.input.length;++n)l.onnx.ValueInfoProto.encode(e.input[n],t.uint32(90).fork()).ldelim();if(null!=e.output&&e.output.length)for(n=0;n<e.output.length;++n)l.onnx.ValueInfoProto.encode(e.output[n],t.uint32(98).fork()).ldelim();if(null!=e.valueInfo&&e.valueInfo.length)for(n=0;n<e.valueInfo.length;++n)l.onnx.ValueInfoProto.encode(e.valueInfo[n],t.uint32(106).fork()).ldelim();if(null!=e.quantizationAnnotation&&e.quantizationAnnotation.length)for(n=0;n<e.quantizationAnnotation.length;++n)l.onnx.TensorAnnotation.encode(e.quantizationAnnotation[n],t.uint32(114).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.GraphProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push(l.onnx.NodeProto.decode(e,e.uint32()));break;case 2:r.name=e.string();break;case 5:r.initializer&&r.initializer.length||(r.initializer=[]),r.initializer.push(l.onnx.TensorProto.decode(e,e.uint32()));break;case 10:r.docString=e.string();break;case 11:r.input&&r.input.length||(r.input=[]),r.input.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 12:r.output&&r.output.length||(r.output=[]),r.output.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 13:r.valueInfo&&r.valueInfo.length||(r.valueInfo=[]),r.valueInfo.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 14:r.quantizationAnnotation&&r.quantizationAnnotation.length||(r.quantizationAnnotation=[]),r.quantizationAnnotation.push(l.onnx.TensorAnnotation.decode(e,e.uint32()));break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.node&&e.hasOwnProperty("node")){if(!Array.isArray(e.node))return"node: array expected";for(var t=0;t<e.node.length;++t)if(n=l.onnx.NodeProto.verify(e.node[t]))return"node."+n}if(null!=e.name&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(null!=e.initializer&&e.hasOwnProperty("initializer")){if(!Array.isArray(e.initializer))return"initializer: array expected";for(t=0;t<e.initializer.length;++t)if(n=l.onnx.TensorProto.verify(e.initializer[t]))return"initializer."+n}if(null!=e.docString&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(null!=e.input&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(t=0;t<e.input.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.input[t]))return"input."+n}if(null!=e.output&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(t=0;t<e.output.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.output[t]))return"output."+n}if(null!=e.valueInfo&&e.hasOwnProperty("valueInfo")){if(!Array.isArray(e.valueInfo))return"valueInfo: array expected";for(t=0;t<e.valueInfo.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.valueInfo[t]))return"valueInfo."+n}if(null!=e.quantizationAnnotation&&e.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(e.quantizationAnnotation))return"quantizationAnnotation: array expected";for(t=0;t<e.quantizationAnnotation.length;++t){var n;if(n=l.onnx.TensorAnnotation.verify(e.quantizationAnnotation[t]))return"quantizationAnnotation."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.GraphProto)return e;var t=new l.onnx.GraphProto;if(e.node){if(!Array.isArray(e.node))throw TypeError(".onnx.GraphProto.node: array expected");t.node=[];for(var n=0;n<e.node.length;++n){if("object"!=typeof e.node[n])throw TypeError(".onnx.GraphProto.node: object expected");t.node[n]=l.onnx.NodeProto.fromObject(e.node[n])}}if(null!=e.name&&(t.name=String(e.name)),e.initializer){if(!Array.isArray(e.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");for(t.initializer=[],n=0;n<e.initializer.length;++n){if("object"!=typeof e.initializer[n])throw TypeError(".onnx.GraphProto.initializer: object expected");t.initializer[n]=l.onnx.TensorProto.fromObject(e.initializer[n])}}if(null!=e.docString&&(t.docString=String(e.docString)),e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.GraphProto.input: array expected");for(t.input=[],n=0;n<e.input.length;++n){if("object"!=typeof e.input[n])throw TypeError(".onnx.GraphProto.input: object 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TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");t.quantizationAnnotation[n]=l.onnx.TensorAnnotation.fromObject(e.quantizationAnnotation[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[]),t.defaults&&(n.name="",n.docString=""),e.node&&e.node.length){n.node=[];for(var r=0;r<e.node.length;++r)n.node[r]=l.onnx.NodeProto.toObject(e.node[r],t)}if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),e.initializer&&e.initializer.length)for(n.initializer=[],r=0;r<e.initializer.length;++r)n.initializer[r]=l.onnx.TensorProto.toObject(e.initializer[r],t);if(null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),e.input&&e.input.length)for(n.input=[],r=0;r<e.input.length;++r)n.input[r]=l.onnx.ValueInfoProto.toObject(e.input[r],t);if(e.output&&e.output.length)for(n.output=[],r=0;r<e.output.length;++r)n.output[r]=l.onnx.ValueInfoProto.toObject(e.output[r],t);if(e.valueInfo&&e.valueInfo.length)for(n.valueInfo=[],r=0;r<e.valueInfo.length;++r)n.valueInfo[r]=l.onnx.ValueInfoProto.toObject(e.valueInfo[r],t);if(e.quantizationAnnotation&&e.quantizationAnnotation.length)for(n.quantizationAnnotation=[],r=0;r<e.quantizationAnnotation.length;++r)n.quantizationAnnotation[r]=l.onnx.TensorAnnotation.toObject(e.quantizationAnnotation[r],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),o.TensorProto=function(){function e(e){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],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.dims=c.emptyArray,e.prototype.dataType=0,e.prototype.segment=null,e.prototype.floatData=c.emptyArray,e.prototype.int32Data=c.emptyArray,e.prototype.stringData=c.emptyArray,e.prototype.int64Data=c.emptyArray,e.prototype.name="",e.prototype.docString="",e.prototype.rawData=c.newBuffer([]),e.prototype.externalData=c.emptyArray,e.prototype.dataLocation=0,e.prototype.doubleData=c.emptyArray,e.prototype.uint64Data=c.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=u.create()),null!=e.dims&&e.dims.length){t.uint32(10).fork();for(var n=0;n<e.dims.length;++n)t.int64(e.dims[n]);t.ldelim()}if(null!=e.dataType&&e.hasOwnProperty("dataType")&&t.uint32(16).int32(e.dataType),null!=e.segment&&e.hasOwnProperty("segment")&&l.onnx.TensorProto.Segment.encode(e.segment,t.uint32(26).fork()).ldelim(),null!=e.floatData&&e.floatData.length){for(t.uint32(34).fork(),n=0;n<e.floatData.length;++n)t.float(e.floatData[n]);t.ldelim()}if(null!=e.int32Data&&e.int32Data.length){for(t.uint32(42).fork(),n=0;n<e.int32Data.length;++n)t.int32(e.int32Data[n]);t.ldelim()}if(null!=e.stringData&&e.stringData.length)for(n=0;n<e.stringData.length;++n)t.uint32(50).bytes(e.stringData[n]);if(null!=e.int64Data&&e.int64Data.length){for(t.uint32(58).fork(),n=0;n<e.int64Data.length;++n)t.int64(e.int64Data[n]);t.ldelim()}if(null!=e.name&&e.hasOwnProperty("name")&&t.uint32(66).string(e.name),null!=e.rawData&&e.hasOwnProperty("rawData")&&t.uint32(74).bytes(e.rawData),null!=e.doubleData&&e.doubleData.length){for(t.uint32(82).fork(),n=0;n<e.doubleData.length;++n)t.double(e.doubleData[n]);t.ldelim()}if(null!=e.uint64Data&&e.uint64Data.length){for(t.uint32(90).fork(),n=0;n<e.uint64Data.length;++n)t.uint64(e.uint64Data[n]);t.ldelim()}if(null!=e.docString&&e.hasOwnProperty("docString")&&t.uint32(98).string(e.docString),null!=e.externalData&&e.externalData.length)for(n=0;n<e.externalData.length;++n)l.onnx.StringStringEntryProto.encode(e.externalData[n],t.uint32(106).fork()).ldelim();return null!=e.dataLocation&&e.hasOwnProperty("dataLocation")&&t.uint32(112).int32(e.dataLocation),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TensorProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:if(r.dims&&r.dims.length||(r.dims=[]),2==(7&i))for(var o=e.uint32()+e.pos;e.pos<o;)r.dims.push(e.int64());else r.dims.push(e.int64());break;case 2:r.dataType=e.int32();break;case 3:r.segment=l.onnx.TensorProto.Segment.decode(e,e.uint32());break;case 4:if(r.floatData&&r.floatData.length||(r.floatData=[]),2==(7&i))for(o=e.uint32()+e.pos;e.pos<o;)r.floatData.push(e.float());else r.floatData.push(e.float());break;case 5:if(r.int32Data&&r.int32Data.length||(r.int32Data=[]),2==(7&i))for(o=e.uint32()+e.pos;e.pos<o;)r.int32Data.push(e.int32());else r.int32Data.push(e.int32());break;case 6:r.stringData&&r.stringData.length||(r.stringData=[]),r.stringData.push(e.bytes());break;case 7:if(r.int64Data&&r.int64Data.length||(r.int64Data=[]),2==(7&i))for(o=e.uint32()+e.pos;e.pos<o;)r.int64Data.push(e.int64());else r.int64Data.push(e.int64());break;case 8:r.name=e.string();break;case 12:r.docString=e.string();break;case 9:r.rawData=e.bytes();break;case 13:r.externalData&&r.externalData.length||(r.externalData=[]),r.externalData.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;case 14:r.dataLocation=e.int32();break;case 10:if(r.doubleData&&r.doubleData.length||(r.doubleData=[]),2==(7&i))for(o=e.uint32()+e.pos;e.pos<o;)r.doubleData.push(e.double());else r.doubleData.push(e.double());break;case 11:if(r.uint64Data&&r.uint64Data.length||(r.uint64Data=[]),2==(7&i))for(o=e.uint32()+e.pos;e.pos<o;)r.uint64Data.push(e.uint64());else r.uint64Data.push(e.uint64());break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.dims&&e.hasOwnProperty("dims")){if(!Array.isArray(e.dims))return"dims: array expected";for(var t=0;t<e.dims.length;++t)if(!(c.isInteger(e.dims[t])||e.dims[t]&&c.isInteger(e.dims[t].low)&&c.isInteger(e.dims[t].high)))return"dims: integer|Long[] expected"}if(null!=e.dataType&&e.hasOwnProperty("dataType")&&!c.isInteger(e.dataType))return"dataType: integer expected";if(null!=e.segment&&e.hasOwnProperty("segment")&&(n=l.onnx.TensorProto.Segment.verify(e.segment)))return"segment."+n;if(null!=e.floatData&&e.hasOwnProperty("floatData")){if(!Array.isArray(e.floatData))return"floatData: array expected";for(t=0;t<e.floatData.length;++t)if("number"!=typeof e.floatData[t])return"floatData: number[] expected"}if(null!=e.int32Data&&e.hasOwnProperty("int32Data")){if(!Array.isArray(e.int32Data))return"int32Data: array expected";for(t=0;t<e.int32Data.length;++t)if(!c.isInteger(e.int32Data[t]))return"int32Data: integer[] expected"}if(null!=e.stringData&&e.hasOwnProperty("stringData")){if(!Array.isArray(e.stringData))return"stringData: array expected";for(t=0;t<e.stringData.length;++t)if(!(e.stringData[t]&&"number"==typeof e.stringData[t].length||c.isString(e.stringData[t])))return"stringData: buffer[] expected"}if(null!=e.int64Data&&e.hasOwnProperty("int64Data")){if(!Array.isArray(e.int64Data))return"int64Data: array expected";for(t=0;t<e.int64Data.length;++t)if(!(c.isInteger(e.int64Data[t])||e.int64Data[t]&&c.isInteger(e.int64Data[t].low)&&c.isInteger(e.int64Data[t].high)))return"int64Data: integer|Long[] expected"}if(null!=e.name&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(null!=e.docString&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(null!=e.rawData&&e.hasOwnProperty("rawData")&&!(e.rawData&&"number"==typeof e.rawData.length||c.isString(e.rawData)))return"rawData: buffer expected";if(null!=e.externalData&&e.hasOwnProperty("externalData")){if(!Array.isArray(e.externalData))return"externalData: array expected";for(t=0;t<e.externalData.length;++t){var n;if(n=l.onnx.StringStringEntryProto.verify(e.externalData[t]))return"externalData."+n}}if(null!=e.dataLocation&&e.hasOwnProperty("dataLocation"))switch(e.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:}if(null!=e.doubleData&&e.hasOwnProperty("doubleData")){if(!Array.isArray(e.doubleData))return"doubleData: array expected";for(t=0;t<e.doubleData.length;++t)if("number"!=typeof e.doubleData[t])return"doubleData: number[] expected"}if(null!=e.uint64Data&&e.hasOwnProperty("uint64Data")){if(!Array.isArray(e.uint64Data))return"uint64Data: array expected";for(t=0;t<e.uint64Data.length;++t)if(!(c.isInteger(e.uint64Data[t])||e.uint64Data[t]&&c.isInteger(e.uint64Data[t].low)&&c.isInteger(e.uint64Data[t].high)))return"uint64Data: integer|Long[] expected"}return null},e.fromObject=function(e){if(e instanceof l.onnx.TensorProto)return e;var t=new l.onnx.TensorProto;if(e.dims){if(!Array.isArray(e.dims))throw TypeError(".onnx.TensorProto.dims: array expected");t.dims=[];for(var n=0;n<e.dims.length;++n)c.Long?(t.dims[n]=c.Long.fromValue(e.dims[n])).unsigned=!1:"string"==typeof e.dims[n]?t.dims[n]=parseInt(e.dims[n],10):"number"==typeof e.dims[n]?t.dims[n]=e.dims[n]:"object"==typeof e.dims[n]&&(t.dims[n]=new c.LongBits(e.dims[n].low>>>0,e.dims[n].high>>>0).toNumber())}if(null!=e.dataType&&(t.dataType=0|e.dataType),null!=e.segment){if("object"!=typeof e.segment)throw TypeError(".onnx.TensorProto.segment: object expected");t.segment=l.onnx.TensorProto.Segment.fromObject(e.segment)}if(e.floatData){if(!Array.isArray(e.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");for(t.floatData=[],n=0;n<e.floatData.length;++n)t.floatData[n]=Number(e.floatData[n])}if(e.int32Data){if(!Array.isArray(e.int32Data))throw TypeError(".onnx.TensorProto.int32Data: array expected");for(t.int32Data=[],n=0;n<e.int32Data.length;++n)t.int32Data[n]=0|e.int32Data[n]}if(e.stringData){if(!Array.isArray(e.stringData))throw TypeError(".onnx.TensorProto.stringData: array expected");for(t.stringData=[],n=0;n<e.stringData.length;++n)"string"==typeof e.stringData[n]?c.base64.decode(e.stringData[n],t.stringData[n]=c.newBuffer(c.base64.length(e.stringData[n])),0):e.stringData[n].length&&(t.stringData[n]=e.stringData[n])}if(e.int64Data){if(!Array.isArray(e.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");for(t.int64Data=[],n=0;n<e.int64Data.length;++n)c.Long?(t.int64Data[n]=c.Long.fromValue(e.int64Data[n])).unsigned=!1:"string"==typeof e.int64Data[n]?t.int64Data[n]=parseInt(e.int64Data[n],10):"number"==typeof e.int64Data[n]?t.int64Data[n]=e.int64Data[n]:"object"==typeof e.int64Data[n]&&(t.int64Data[n]=new c.LongBits(e.int64Data[n].low>>>0,e.int64Data[n].high>>>0).toNumber())}if(null!=e.name&&(t.name=String(e.name)),null!=e.docString&&(t.docString=String(e.docString)),null!=e.rawData&&("string"==typeof e.rawData?c.base64.decode(e.rawData,t.rawData=c.newBuffer(c.base64.length(e.rawData)),0):e.rawData.length&&(t.rawData=e.rawData)),e.externalData){if(!Array.isArray(e.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(t.externalData=[],n=0;n<e.externalData.length;++n){if("object"!=typeof e.externalData[n])throw TypeError(".onnx.TensorProto.externalData: object expected");t.externalData[n]=l.onnx.StringStringEntryProto.fromObject(e.externalData[n])}}switch(e.dataLocation){case"DEFAULT":case 0:t.dataLocation=0;break;case"EXTERNAL":case 1:t.dataLocation=1}if(e.doubleData){if(!Array.isArray(e.doubleData))throw TypeError(".onnx.TensorProto.doubleData: array expected");for(t.doubleData=[],n=0;n<e.doubleData.length;++n)t.doubleData[n]=Number(e.doubleData[n])}if(e.uint64Data){if(!Array.isArray(e.uint64Data))throw TypeError(".onnx.TensorProto.uint64Data: array expected");for(t.uint64Data=[],n=0;n<e.uint64Data.length;++n)c.Long?(t.uint64Data[n]=c.Long.fromValue(e.uint64Data[n])).unsigned=!0:"string"==typeof e.uint64Data[n]?t.uint64Data[n]=parseInt(e.uint64Data[n],10):"number"==typeof e.uint64Data[n]?t.uint64Data[n]=e.uint64Data[n]:"object"==typeof e.uint64Data[n]&&(t.uint64Data[n]=new c.LongBits(e.uint64Data[n].low>>>0,e.uint64Data[n].high>>>0).toNumber(!0))}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.dims=[],n.floatData=[],n.int32Data=[],n.stringData=[],n.int64Data=[],n.doubleData=[],n.uint64Data=[],n.externalData=[]),t.defaults&&(n.dataType=0,n.segment=null,n.name="",t.bytes===String?n.rawData="":(n.rawData=[],t.bytes!==Array&&(n.rawData=c.newBuffer(n.rawData))),n.docString="",n.dataLocation=t.enums===String?"DEFAULT":0),e.dims&&e.dims.length){n.dims=[];for(var r=0;r<e.dims.length;++r)"number"==typeof e.dims[r]?n.dims[r]=t.longs===String?String(e.dims[r]):e.dims[r]:n.dims[r]=t.longs===String?c.Long.prototype.toString.call(e.dims[r]):t.longs===Number?new c.LongBits(e.dims[r].low>>>0,e.dims[r].high>>>0).toNumber():e.dims[r]}if(null!=e.dataType&&e.hasOwnProperty("dataType")&&(n.dataType=e.dataType),null!=e.segment&&e.hasOwnProperty("segment")&&(n.segment=l.onnx.TensorProto.Segment.toObject(e.segment,t)),e.floatData&&e.floatData.length)for(n.floatData=[],r=0;r<e.floatData.length;++r)n.floatData[r]=t.json&&!isFinite(e.floatData[r])?String(e.floatData[r]):e.floatData[r];if(e.int32Data&&e.int32Data.length)for(n.int32Data=[],r=0;r<e.int32Data.length;++r)n.int32Data[r]=e.int32Data[r];if(e.stringData&&e.stringData.length)for(n.stringData=[],r=0;r<e.stringData.length;++r)n.stringData[r]=t.bytes===String?c.base64.encode(e.stringData[r],0,e.stringData[r].length):t.bytes===Array?Array.prototype.slice.call(e.stringData[r]):e.stringData[r];if(e.int64Data&&e.int64Data.length)for(n.int64Data=[],r=0;r<e.int64Data.length;++r)"number"==typeof 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t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.dim=[]),e.dim&&e.dim.length){n.dim=[];for(var r=0;r<e.dim.length;++r)n.dim[r]=l.onnx.TensorShapeProto.Dimension.toObject(e.dim[r],t)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e.Dimension=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]])}var t;return e.prototype.dimValue=c.Long?c.Long.fromBits(0,0,!1):0,e.prototype.dimParam="",e.prototype.denotation="",Object.defineProperty(e.prototype,"value",{get:c.oneOfGetter(t=["dimValue","dimParam"]),set:c.oneOfSetter(t)}),e.create=function(t){return new e(t)},e.encode=function(e,t){return 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t.defaults&&(n.denotation=""),null!=e.dimValue&&e.hasOwnProperty("dimValue")&&("number"==typeof e.dimValue?n.dimValue=t.longs===String?String(e.dimValue):e.dimValue:n.dimValue=t.longs===String?c.Long.prototype.toString.call(e.dimValue):t.longs===Number?new c.LongBits(e.dimValue.low>>>0,e.dimValue.high>>>0).toNumber():e.dimValue,t.oneofs&&(n.value="dimValue")),null!=e.dimParam&&e.hasOwnProperty("dimParam")&&(n.dimParam=e.dimParam,t.oneofs&&(n.value="dimParam")),null!=e.denotation&&e.hasOwnProperty("denotation")&&(n.denotation=e.denotation),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},e}(),e}(),o.TypeProto=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]])}var t;return e.prototype.tensorType=null,e.prototype.denotation="",Object.defineProperty(e.prototype,"value",{get:c.oneOfGetter(t=["tensorType"]),set:c.oneOfSetter(t)}),e.create=function(t){return new e(t)},e.encode=function(e,t){return t||(t=u.create()),null!=e.tensorType&&e.hasOwnProperty("tensorType")&&l.onnx.TypeProto.Tensor.encode(e.tensorType,t.uint32(10).fork()).ldelim(),null!=e.denotation&&e.hasOwnProperty("denotation")&&t.uint32(50).string(e.denotation),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TypeProto;e.pos<n;){var i=e.uint32();switch(i>>>3){case 1:r.tensorType=l.onnx.TypeProto.Tensor.decode(e,e.uint32());break;case 6:r.denotation=e.string();break;default:e.skipType(7&i)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.tensorType&&e.hasOwnProperty("tensorType")){var t=l.onnx.TypeProto.Tensor.verify(e.tensorType);if(t)return"tensorType."+t}return 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d.unknown}},f=c.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]);class h extends Error{constructor(e){super(),this.issues=[],this.addIssue=e=>{this.issues=[...this.issues,e]},this.addIssues=(e=[])=>{this.issues=[...this.issues,...e]};const t=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,t):this.__proto__=t,this.name="ZodError",this.issues=e}get errors(){return this.issues}format(e){const t=e||function(e){return e.message},n={_errors:[]},r=e=>{for(const i of e.issues)if("invalid_union"===i.code)i.unionErrors.map(r);else if("invalid_return_type"===i.code)r(i.returnTypeError);else if("invalid_arguments"===i.code)r(i.argumentsError);else if(0===i.path.length)n._errors.push(t(i));else{let e=n,r=0;for(;r<i.path.length;){const n=i.path[r];r===i.path.length-1?(e[n]=e[n]||{_errors:[]},e[n]._errors.push(t(i))):e[n]=e[n]||{_errors:[]},e=e[n],r++}}};return r(this),n}toString(){return this.message}get message(){return JSON.stringify(this.issues,c.jsonStringifyReplacer,2)}get isEmpty(){return 0===this.issues.length}flatten(e=(e=>e.message)){const t={},n=[];for(const r of this.issues)r.path.length>0?(t[r.path[0]]=t[r.path[0]]||[],t[r.path[0]].push(e(r))):n.push(e(r));return{formErrors:n,fieldErrors:t}}get formErrors(){return this.flatten()}}h.create=e=>new h(e);const g=(e,t)=>{let n;switch(e.code){case f.invalid_type:n=e.received===d.undefined?"Required":`Expected ${e.expected}, received ${e.received}`;break;case f.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,c.jsonStringifyReplacer)}`;break;case f.unrecognized_keys:n=`Unrecognized key(s) in object: ${c.joinValues(e.keys,", ")}`;break;case f.invalid_union:n="Invalid input";break;case f.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${c.joinValues(e.options)}`;break;case f.invalid_enum_value:n=`Invalid enum value. Expected ${c.joinValues(e.options)}, received '${e.received}'`;break;case f.invalid_arguments:n="Invalid function arguments";break;case f.invalid_return_type:n="Invalid function return type";break;case f.invalid_date:n="Invalid date";break;case f.invalid_string:"object"==typeof e.validation?"includes"in e.validation?(n=`Invalid input: must include "${e.validation.includes}"`,"number"==typeof e.validation.position&&(n=`${n} at one or more positions greater than or equal to ${e.validation.position}`)):"startsWith"in e.validation?n=`Invalid input: must start with "${e.validation.startsWith}"`:"endsWith"in e.validation?n=`Invalid input: must end with "${e.validation.endsWith}"`:c.assertNever(e.validation):n="regex"!==e.validation?`Invalid ${e.validation}`:"Invalid";break;case f.too_small:n="array"===e.type?`Array must contain ${e.exact?"exactly":e.inclusive?"at least":"more than"} ${e.minimum} element(s)`:"string"===e.type?`String must contain ${e.exact?"exactly":e.inclusive?"at least":"over"} ${e.minimum} character(s)`:"number"===e.type?`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:"date"===e.type?`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:"Invalid input";break;case f.too_big:n="array"===e.type?`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:"string"===e.type?`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:"number"===e.type?`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:"bigint"===e.type?`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:"date"===e.type?`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:"Invalid input";break;case f.custom:n="Invalid input";break;case f.invalid_intersection_types:n="Intersection results could not be merged";break;case f.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case f.not_finite:n="Number must be finite";break;default:n=t.defaultError,c.assertNever(e)}return{message:n}};let m=g;function b(){return m}const y=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],a={...i,path:o};let s="";const u=r.filter((e=>!!e)).slice().reverse();for(const e of u)s=e(a,{data:t,defaultError:s}).message;return{...i,path:o,message:i.message||s}};function _(e,t){const n=y({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,b(),g].filter((e=>!!e))});e.common.issues.push(n)}class v{constructor(){this.value="valid"}dirty(){"valid"===this.value&&(this.value="dirty")}abort(){"aborted"!==this.value&&(this.value="aborted")}static mergeArray(e,t){const n=[];for(const r of t){if("aborted"===r.status)return w;"dirty"===r.status&&e.dirty(),n.push(r.value)}return{status:e.value,value:n}}static async mergeObjectAsync(e,t){const n=[];for(const e of t)n.push({key:await e.key,value:await e.value});return v.mergeObjectSync(e,n)}static mergeObjectSync(e,t){const n={};for(const r of t){const{key:t,value:i}=r;if("aborted"===t.status)return w;if("aborted"===i.status)return w;"dirty"===t.status&&e.dirty(),"dirty"===i.status&&e.dirty(),(void 0!==i.value||r.alwaysSet)&&(n[t.value]=i.value)}return{status:e.value,value:n}}}const w=Object.freeze({status:"aborted"}),x=e=>({status:"dirty",value:e}),T=e=>({status:"valid",value:e}),S=e=>"aborted"===e.status,O=e=>"dirty"===e.status,A=e=>"valid"===e.status,E=e=>"undefined"!=typeof Promise&&e instanceof Promise;var I;!function(e){e.errToObj=e=>"string"==typeof e?{message:e}:e||{},e.toString=e=>"string"==typeof e?e:null==e?void 0:e.message}(I||(I={}));class P{constructor(e,t,n,r){this._cachedPath=[],this.parent=e,this.data=t,this._path=n,this._key=r}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const $=(e,t)=>{if(A(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const t=new h(e.common.issues);return this._error=t,this._error}}};function k(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error('Can\'t use "invalid_type_error" or "required_error" in conjunction with custom error map.');return t?{errorMap:t,description:i}:{errorMap:(e,t)=>"invalid_type"!==e.code?{message:t.defaultError}:void 0===t.data?{message:null!=r?r:t.defaultError}:{message:null!=n?n:t.defaultError},description:i}}class D{constructor(e){this.spa=this.safeParseAsync,this._def=e,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(e){return p(e.data)}_getOrReturnCtx(e,t){return t||{common:e.parent.common,data:e.data,parsedType:p(e.data),schemaErrorMap:this._def.errorMap,path:e.path,parent:e.parent}}_processInputParams(e){return{status:new v,ctx:{common:e.parent.common,data:e.data,parsedType:p(e.data),schemaErrorMap:this._def.errorMap,path:e.path,parent:e.parent}}}_parseSync(e){const t=this._parse(e);if(E(t))throw new Error("Synchronous parse encountered promise.");return t}_parseAsync(e){const t=this._parse(e);return Promise.resolve(t)}parse(e,t){const n=this.safeParse(e,t);if(n.success)return n.data;throw n.error}safeParse(e,t){var n;const r={common:{issues:[],async:null!==(n=null==t?void 0:t.async)&&void 0!==n&&n,contextualErrorMap:null==t?void 0:t.errorMap},path:(null==t?void 0:t.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:e,parsedType:p(e)},i=this._parseSync({data:e,path:r.path,parent:r});return $(r,i)}async parseAsync(e,t){const n=await this.safeParseAsync(e,t);if(n.success)return n.data;throw n.error}async safeParseAsync(e,t){const n={common:{issues:[],contextualErrorMap:null==t?void 0:t.errorMap,async:!0},path:(null==t?void 0:t.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:e,parsedType:p(e)},r=this._parse({data:e,path:n.path,parent:n}),i=await(E(r)?r:Promise.resolve(r));return $(n,i)}refine(e,t){const n=e=>"string"==typeof t||void 0===t?{message:t}:"function"==typeof t?t(e):t;return this._refinement(((t,r)=>{const i=e(t),o=()=>r.addIssue({code:f.custom,...n(t)});return"undefined"!=typeof Promise&&i instanceof Promise?i.then((e=>!!e||(o(),!1))):!!i||(o(),!1)}))}refinement(e,t){return this._refinement(((n,r)=>!!e(n)||(r.addIssue("function"==typeof t?t(n,r):t),!1)))}_refinement(e){return new _e({schema:this,typeName:$e.ZodEffects,effect:{type:"refinement",refinement:e}})}superRefine(e){return this._refinement(e)}optional(){return ve.create(this,this._def)}nullable(){return we.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return ee.create(this,this._def)}promise(){return ye.create(this,this._def)}or(e){return re.create([this,e],this._def)}and(e){return se.create(this,e,this._def)}transform(e){return new _e({...k(this._def),schema:this,typeName:$e.ZodEffects,effect:{type:"transform",transform:e}})}default(e){const t="function"==typeof e?e:()=>e;return new xe({...k(this._def),innerType:this,defaultValue:t,typeName:$e.ZodDefault})}brand(){return new Ae({typeName:$e.ZodBranded,type:this,...k(this._def)})}catch(e){const t="function"==typeof e?e:()=>e;return new Te({...k(this._def),innerType:this,catchValue:t,typeName:$e.ZodCatch})}describe(e){return new(0,this.constructor)({...this._def,description:e})}pipe(e){return Ee.create(this,e)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const C=/^c[^\s-]{8,}$/i,R=/^[a-z][a-z0-9]*$/,N=/[0-9A-HJKMNP-TV-Z]{26}/,M=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,j=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,L=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,F=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,U=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/;class B extends D{constructor(){super(...arguments),this._regex=(e,t,n)=>this.refinement((t=>e.test(t)),{validation:t,code:f.invalid_string,...I.errToObj(n)}),this.nonempty=e=>this.min(1,I.errToObj(e)),this.trim=()=>new B({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new B({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new B({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(e){if(this._def.coerce&&(e.data=String(e.data)),this._getType(e)!==d.string){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.string,received:t.parsedType}),w}const t=new v;let n;for(const a of this._def.checks)if("min"===a.kind)e.data.length<a.value&&(n=this._getOrReturnCtx(e,n),_(n,{code:f.too_small,minimum:a.value,type:"string",inclusive:!0,exact:!1,message:a.message}),t.dirty());else if("max"===a.kind)e.data.length>a.value&&(n=this._getOrReturnCtx(e,n),_(n,{code:f.too_big,maximum:a.value,type:"string",inclusive:!0,exact:!1,message:a.message}),t.dirty());else if("length"===a.kind){const r=e.data.length>a.value,i=e.data.length<a.value;(r||i)&&(n=this._getOrReturnCtx(e,n),r?_(n,{code:f.too_big,maximum:a.value,type:"string",inclusive:!0,exact:!0,message:a.message}):i&&_(n,{code:f.too_small,minimum:a.value,type:"string",inclusive:!0,exact:!0,message:a.message}),t.dirty())}else if("email"===a.kind)j.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"email",code:f.invalid_string,message:a.message}),t.dirty());else if("emoji"===a.kind)L.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"emoji",code:f.invalid_string,message:a.message}),t.dirty());else if("uuid"===a.kind)M.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"uuid",code:f.invalid_string,message:a.message}),t.dirty());else if("cuid"===a.kind)C.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"cuid",code:f.invalid_string,message:a.message}),t.dirty());else if("cuid2"===a.kind)R.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"cuid2",code:f.invalid_string,message:a.message}),t.dirty());else if("ulid"===a.kind)N.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"ulid",code:f.invalid_string,message:a.message}),t.dirty());else if("url"===a.kind)try{new URL(e.data)}catch(r){n=this._getOrReturnCtx(e,n),_(n,{validation:"url",code:f.invalid_string,message:a.message}),t.dirty()}else"regex"===a.kind?(a.regex.lastIndex=0,a.regex.test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{validation:"regex",code:f.invalid_string,message:a.message}),t.dirty())):"trim"===a.kind?e.data=e.data.trim():"includes"===a.kind?e.data.includes(a.value,a.position)||(n=this._getOrReturnCtx(e,n),_(n,{code:f.invalid_string,validation:{includes:a.value,position:a.position},message:a.message}),t.dirty()):"toLowerCase"===a.kind?e.data=e.data.toLowerCase():"toUpperCase"===a.kind?e.data=e.data.toUpperCase():"startsWith"===a.kind?e.data.startsWith(a.value)||(n=this._getOrReturnCtx(e,n),_(n,{code:f.invalid_string,validation:{startsWith:a.value},message:a.message}),t.dirty()):"endsWith"===a.kind?e.data.endsWith(a.value)||(n=this._getOrReturnCtx(e,n),_(n,{code:f.invalid_string,validation:{endsWith:a.value},message:a.message}),t.dirty()):"datetime"===a.kind?((o=a).precision?o.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${o.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${o.precision}}Z$`):0===o.precision?o.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):o.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$")).test(e.data)||(n=this._getOrReturnCtx(e,n),_(n,{code:f.invalid_string,validation:"datetime",message:a.message}),t.dirty()):"ip"===a.kind?(r=e.data,("v4"!==(i=a.version)&&i||!F.test(r))&&("v6"!==i&&i||!U.test(r))&&(n=this._getOrReturnCtx(e,n),_(n,{validation:"ip",code:f.invalid_string,message:a.message}),t.dirty())):c.assertNever(a);var r,i,o;return{status:t.value,value:e.data}}_addCheck(e){return new B({...this._def,checks:[...this._def.checks,e]})}email(e){return this._addCheck({kind:"email",...I.errToObj(e)})}url(e){return this._addCheck({kind:"url",...I.errToObj(e)})}emoji(e){return this._addCheck({kind:"emoji",...I.errToObj(e)})}uuid(e){return this._addCheck({kind:"uuid",...I.errToObj(e)})}cuid(e){return this._addCheck({kind:"cuid",...I.errToObj(e)})}cuid2(e){return this._addCheck({kind:"cuid2",...I.errToObj(e)})}ulid(e){return this._addCheck({kind:"ulid",...I.errToObj(e)})}ip(e){return this._addCheck({kind:"ip",...I.errToObj(e)})}datetime(e){var t;return"string"==typeof e?this._addCheck({kind:"datetime",precision:null,offset:!1,message:e}):this._addCheck({kind:"datetime",precision:void 0===(null==e?void 0:e.precision)?null:null==e?void 0:e.precision,offset:null!==(t=null==e?void 0:e.offset)&&void 0!==t&&t,...I.errToObj(null==e?void 0:e.message)})}regex(e,t){return this._addCheck({kind:"regex",regex:e,...I.errToObj(t)})}includes(e,t){return this._addCheck({kind:"includes",value:e,position:null==t?void 0:t.position,...I.errToObj(null==t?void 0:t.message)})}startsWith(e,t){return this._addCheck({kind:"startsWith",value:e,...I.errToObj(t)})}endsWith(e,t){return this._addCheck({kind:"endsWith",value:e,...I.errToObj(t)})}min(e,t){return this._addCheck({kind:"min",value:e,...I.errToObj(t)})}max(e,t){return this._addCheck({kind:"max",value:e,...I.errToObj(t)})}length(e,t){return this._addCheck({kind:"length",value:e,...I.errToObj(t)})}get isDatetime(){return!!this._def.checks.find((e=>"datetime"===e.kind))}get isEmail(){return!!this._def.checks.find((e=>"email"===e.kind))}get isURL(){return!!this._def.checks.find((e=>"url"===e.kind))}get isEmoji(){return!!this._def.checks.find((e=>"emoji"===e.kind))}get isUUID(){return!!this._def.checks.find((e=>"uuid"===e.kind))}get isCUID(){return!!this._def.checks.find((e=>"cuid"===e.kind))}get isCUID2(){return!!this._def.checks.find((e=>"cuid2"===e.kind))}get isULID(){return!!this._def.checks.find((e=>"ulid"===e.kind))}get isIP(){return!!this._def.checks.find((e=>"ip"===e.kind))}get minLength(){let e=null;for(const t of this._def.checks)"min"===t.kind&&(null===e||t.value>e)&&(e=t.value);return e}get maxLength(){let e=null;for(const t of this._def.checks)"max"===t.kind&&(null===e||t.value<e)&&(e=t.value);return e}}function z(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r;return parseInt(e.toFixed(i).replace(".",""))%parseInt(t.toFixed(i).replace(".",""))/Math.pow(10,i)}B.create=e=>{var t;return new B({checks:[],typeName:$e.ZodString,coerce:null!==(t=null==e?void 0:e.coerce)&&void 0!==t&&t,...k(e)})};class V extends D{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(e){if(this._def.coerce&&(e.data=Number(e.data)),this._getType(e)!==d.number){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.number,received:t.parsedType}),w}let t;const n=new v;for(const r of this._def.checks)"int"===r.kind?c.isInteger(e.data)||(t=this._getOrReturnCtx(e,t),_(t,{code:f.invalid_type,expected:"integer",received:"float",message:r.message}),n.dirty()):"min"===r.kind?(r.inclusive?e.data<r.value:e.data<=r.value)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.too_small,minimum:r.value,type:"number",inclusive:r.inclusive,exact:!1,message:r.message}),n.dirty()):"max"===r.kind?(r.inclusive?e.data>r.value:e.data>=r.value)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.too_big,maximum:r.value,type:"number",inclusive:r.inclusive,exact:!1,message:r.message}),n.dirty()):"multipleOf"===r.kind?0!==z(e.data,r.value)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.not_multiple_of,multipleOf:r.value,message:r.message}),n.dirty()):"finite"===r.kind?Number.isFinite(e.data)||(t=this._getOrReturnCtx(e,t),_(t,{code:f.not_finite,message:r.message}),n.dirty()):c.assertNever(r);return{status:n.value,value:e.data}}gte(e,t){return this.setLimit("min",e,!0,I.toString(t))}gt(e,t){return this.setLimit("min",e,!1,I.toString(t))}lte(e,t){return this.setLimit("max",e,!0,I.toString(t))}lt(e,t){return this.setLimit("max",e,!1,I.toString(t))}setLimit(e,t,n,r){return new V({...this._def,checks:[...this._def.checks,{kind:e,value:t,inclusive:n,message:I.toString(r)}]})}_addCheck(e){return new V({...this._def,checks:[...this._def.checks,e]})}int(e){return this._addCheck({kind:"int",message:I.toString(e)})}positive(e){return this._addCheck({kind:"min",value:0,inclusive:!1,message:I.toString(e)})}negative(e){return this._addCheck({kind:"max",value:0,inclusive:!1,message:I.toString(e)})}nonpositive(e){return this._addCheck({kind:"max",value:0,inclusive:!0,message:I.toString(e)})}nonnegative(e){return this._addCheck({kind:"min",value:0,inclusive:!0,message:I.toString(e)})}multipleOf(e,t){return this._addCheck({kind:"multipleOf",value:e,message:I.toString(t)})}finite(e){return this._addCheck({kind:"finite",message:I.toString(e)})}safe(e){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:I.toString(e)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:I.toString(e)})}get minValue(){let e=null;for(const t of this._def.checks)"min"===t.kind&&(null===e||t.value>e)&&(e=t.value);return e}get maxValue(){let e=null;for(const t of this._def.checks)"max"===t.kind&&(null===e||t.value<e)&&(e=t.value);return e}get isInt(){return!!this._def.checks.find((e=>"int"===e.kind||"multipleOf"===e.kind&&c.isInteger(e.value)))}get isFinite(){let e=null,t=null;for(const n of this._def.checks){if("finite"===n.kind||"int"===n.kind||"multipleOf"===n.kind)return!0;"min"===n.kind?(null===t||n.value>t)&&(t=n.value):"max"===n.kind&&(null===e||n.value<e)&&(e=n.value)}return Number.isFinite(t)&&Number.isFinite(e)}}V.create=e=>new V({checks:[],typeName:$e.ZodNumber,coerce:(null==e?void 0:e.coerce)||!1,...k(e)});class G extends D{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(e){if(this._def.coerce&&(e.data=BigInt(e.data)),this._getType(e)!==d.bigint){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.bigint,received:t.parsedType}),w}let t;const n=new v;for(const r of this._def.checks)"min"===r.kind?(r.inclusive?e.data<r.value:e.data<=r.value)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.too_small,type:"bigint",minimum:r.value,inclusive:r.inclusive,message:r.message}),n.dirty()):"max"===r.kind?(r.inclusive?e.data>r.value:e.data>=r.value)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.too_big,type:"bigint",maximum:r.value,inclusive:r.inclusive,message:r.message}),n.dirty()):"multipleOf"===r.kind?e.data%r.value!==BigInt(0)&&(t=this._getOrReturnCtx(e,t),_(t,{code:f.not_multiple_of,multipleOf:r.value,message:r.message}),n.dirty()):c.assertNever(r);return{status:n.value,value:e.data}}gte(e,t){return this.setLimit("min",e,!0,I.toString(t))}gt(e,t){return this.setLimit("min",e,!1,I.toString(t))}lte(e,t){return this.setLimit("max",e,!0,I.toString(t))}lt(e,t){return this.setLimit("max",e,!1,I.toString(t))}setLimit(e,t,n,r){return new G({...this._def,checks:[...this._def.checks,{kind:e,value:t,inclusive:n,message:I.toString(r)}]})}_addCheck(e){return new G({...this._def,checks:[...this._def.checks,e]})}positive(e){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:I.toString(e)})}negative(e){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:I.toString(e)})}nonpositive(e){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:I.toString(e)})}nonnegative(e){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:I.toString(e)})}multipleOf(e,t){return this._addCheck({kind:"multipleOf",value:e,message:I.toString(t)})}get minValue(){let e=null;for(const t of this._def.checks)"min"===t.kind&&(null===e||t.value>e)&&(e=t.value);return e}get maxValue(){let e=null;for(const t of this._def.checks)"max"===t.kind&&(null===e||t.value<e)&&(e=t.value);return e}}G.create=e=>{var t;return new G({checks:[],typeName:$e.ZodBigInt,coerce:null!==(t=null==e?void 0:e.coerce)&&void 0!==t&&t,...k(e)})};class W extends D{_parse(e){if(this._def.coerce&&(e.data=Boolean(e.data)),this._getType(e)!==d.boolean){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.boolean,received:t.parsedType}),w}return T(e.data)}}W.create=e=>new W({typeName:$e.ZodBoolean,coerce:(null==e?void 0:e.coerce)||!1,...k(e)});class H extends D{_parse(e){if(this._def.coerce&&(e.data=new Date(e.data)),this._getType(e)!==d.date){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.date,received:t.parsedType}),w}if(isNaN(e.data.getTime()))return _(this._getOrReturnCtx(e),{code:f.invalid_date}),w;const t=new v;let n;for(const r of this._def.checks)"min"===r.kind?e.data.getTime()<r.value&&(n=this._getOrReturnCtx(e,n),_(n,{code:f.too_small,message:r.message,inclusive:!0,exact:!1,minimum:r.value,type:"date"}),t.dirty()):"max"===r.kind?e.data.getTime()>r.value&&(n=this._getOrReturnCtx(e,n),_(n,{code:f.too_big,message:r.message,inclusive:!0,exact:!1,maximum:r.value,type:"date"}),t.dirty()):c.assertNever(r);return{status:t.value,value:new Date(e.data.getTime())}}_addCheck(e){return new H({...this._def,checks:[...this._def.checks,e]})}min(e,t){return this._addCheck({kind:"min",value:e.getTime(),message:I.toString(t)})}max(e,t){return this._addCheck({kind:"max",value:e.getTime(),message:I.toString(t)})}get minDate(){let e=null;for(const t of this._def.checks)"min"===t.kind&&(null===e||t.value>e)&&(e=t.value);return null!=e?new Date(e):null}get maxDate(){let e=null;for(const t of this._def.checks)"max"===t.kind&&(null===e||t.value<e)&&(e=t.value);return null!=e?new Date(e):null}}H.create=e=>new H({checks:[],coerce:(null==e?void 0:e.coerce)||!1,typeName:$e.ZodDate,...k(e)});class q extends D{_parse(e){if(this._getType(e)!==d.symbol){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.symbol,received:t.parsedType}),w}return T(e.data)}}q.create=e=>new q({typeName:$e.ZodSymbol,...k(e)});class K extends D{_parse(e){if(this._getType(e)!==d.undefined){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.undefined,received:t.parsedType}),w}return T(e.data)}}K.create=e=>new K({typeName:$e.ZodUndefined,...k(e)});class Z extends D{_parse(e){if(this._getType(e)!==d.null){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.null,received:t.parsedType}),w}return T(e.data)}}Z.create=e=>new Z({typeName:$e.ZodNull,...k(e)});class X extends D{constructor(){super(...arguments),this._any=!0}_parse(e){return T(e.data)}}X.create=e=>new X({typeName:$e.ZodAny,...k(e)});class Y extends D{constructor(){super(...arguments),this._unknown=!0}_parse(e){return T(e.data)}}Y.create=e=>new Y({typeName:$e.ZodUnknown,...k(e)});class J extends D{_parse(e){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.never,received:t.parsedType}),w}}J.create=e=>new J({typeName:$e.ZodNever,...k(e)});class Q extends D{_parse(e){if(this._getType(e)!==d.undefined){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.void,received:t.parsedType}),w}return T(e.data)}}Q.create=e=>new Q({typeName:$e.ZodVoid,...k(e)});class ee extends D{_parse(e){const{ctx:t,status:n}=this._processInputParams(e),r=this._def;if(t.parsedType!==d.array)return _(t,{code:f.invalid_type,expected:d.array,received:t.parsedType}),w;if(null!==r.exactLength){const e=t.data.length>r.exactLength.value,i=t.data.length<r.exactLength.value;(e||i)&&(_(t,{code:e?f.too_big:f.too_small,minimum:i?r.exactLength.value:void 0,maximum:e?r.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:r.exactLength.message}),n.dirty())}if(null!==r.minLength&&t.data.length<r.minLength.value&&(_(t,{code:f.too_small,minimum:r.minLength.value,type:"array",inclusive:!0,exact:!1,message:r.minLength.message}),n.dirty()),null!==r.maxLength&&t.data.length>r.maxLength.value&&(_(t,{code:f.too_big,maximum:r.maxLength.value,type:"array",inclusive:!0,exact:!1,message:r.maxLength.message}),n.dirty()),t.common.async)return Promise.all([...t.data].map(((e,n)=>r.type._parseAsync(new P(t,e,t.path,n))))).then((e=>v.mergeArray(n,e)));const i=[...t.data].map(((e,n)=>r.type._parseSync(new P(t,e,t.path,n))));return v.mergeArray(n,i)}get element(){return this._def.type}min(e,t){return new ee({...this._def,minLength:{value:e,message:I.toString(t)}})}max(e,t){return new ee({...this._def,maxLength:{value:e,message:I.toString(t)}})}length(e,t){return new ee({...this._def,exactLength:{value:e,message:I.toString(t)}})}nonempty(e){return this.min(1,e)}}function te(e){if(e instanceof ne){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=ve.create(te(r))}return new ne({...e._def,shape:()=>t})}return e instanceof ee?new ee({...e._def,type:te(e.element)}):e instanceof ve?ve.create(te(e.unwrap())):e instanceof we?we.create(te(e.unwrap())):e instanceof ue?ue.create(e.items.map((e=>te(e)))):e}ee.create=(e,t)=>new ee({type:e,minLength:null,maxLength:null,exactLength:null,typeName:$e.ZodArray,...k(t)});class ne extends D{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(null!==this._cached)return this._cached;const e=this._def.shape(),t=c.objectKeys(e);return this._cached={shape:e,keys:t}}_parse(e){if(this._getType(e)!==d.object){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.object,received:t.parsedType}),w}const{status:t,ctx:n}=this._processInputParams(e),{shape:r,keys:i}=this._getCached(),o=[];if(!(this._def.catchall instanceof J&&"strip"===this._def.unknownKeys))for(const e in n.data)i.includes(e)||o.push(e);const a=[];for(const e of i){const t=r[e],i=n.data[e];a.push({key:{status:"valid",value:e},value:t._parse(new P(n,i,n.path,e)),alwaysSet:e in n.data})}if(this._def.catchall instanceof J){const e=this._def.unknownKeys;if("passthrough"===e)for(const e of o)a.push({key:{status:"valid",value:e},value:{status:"valid",value:n.data[e]}});else if("strict"===e)o.length>0&&(_(n,{code:f.unrecognized_keys,keys:o}),t.dirty());else if("strip"!==e)throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const e=this._def.catchall;for(const t of o){const r=n.data[t];a.push({key:{status:"valid",value:t},value:e._parse(new P(n,r,n.path,t)),alwaysSet:t in n.data})}}return n.common.async?Promise.resolve().then((async()=>{const e=[];for(const t of a){const n=await t.key;e.push({key:n,value:await t.value,alwaysSet:t.alwaysSet})}return e})).then((e=>v.mergeObjectSync(t,e))):v.mergeObjectSync(t,a)}get shape(){return this._def.shape()}strict(e){return I.errToObj,new ne({...this._def,unknownKeys:"strict",...void 0!==e?{errorMap:(t,n)=>{var r,i,o,a;const s=null!==(o=null===(i=(r=this._def).errorMap)||void 0===i?void 0:i.call(r,t,n).message)&&void 0!==o?o:n.defaultError;return"unrecognized_keys"===t.code?{message:null!==(a=I.errToObj(e).message)&&void 0!==a?a:s}:{message:s}}}:{}})}strip(){return new ne({...this._def,unknownKeys:"strip"})}passthrough(){return new ne({...this._def,unknownKeys:"passthrough"})}extend(e){return new ne({...this._def,shape:()=>({...this._def.shape(),...e})})}merge(e){return new ne({unknownKeys:e._def.unknownKeys,catchall:e._def.catchall,shape:()=>({...this._def.shape(),...e._def.shape()}),typeName:$e.ZodObject})}setKey(e,t){return this.augment({[e]:t})}catchall(e){return new ne({...this._def,catchall:e})}pick(e){const t={};return c.objectKeys(e).forEach((n=>{e[n]&&this.shape[n]&&(t[n]=this.shape[n])})),new ne({...this._def,shape:()=>t})}omit(e){const t={};return c.objectKeys(this.shape).forEach((n=>{e[n]||(t[n]=this.shape[n])})),new ne({...this._def,shape:()=>t})}deepPartial(){return te(this)}partial(e){const t={};return c.objectKeys(this.shape).forEach((n=>{const r=this.shape[n];e&&!e[n]?t[n]=r:t[n]=r.optional()})),new ne({...this._def,shape:()=>t})}required(e){const t={};return c.objectKeys(this.shape).forEach((n=>{if(e&&!e[n])t[n]=this.shape[n];else{let e=this.shape[n];for(;e instanceof ve;)e=e._def.innerType;t[n]=e}})),new ne({...this._def,shape:()=>t})}keyof(){return ge(c.objectKeys(this.shape))}}ne.create=(e,t)=>new ne({shape:()=>e,unknownKeys:"strip",catchall:J.create(),typeName:$e.ZodObject,...k(t)}),ne.strictCreate=(e,t)=>new ne({shape:()=>e,unknownKeys:"strict",catchall:J.create(),typeName:$e.ZodObject,...k(t)}),ne.lazycreate=(e,t)=>new ne({shape:e,unknownKeys:"strip",catchall:J.create(),typeName:$e.ZodObject,...k(t)});class re extends D{_parse(e){const{ctx:t}=this._processInputParams(e),n=this._def.options;if(t.common.async)return Promise.all(n.map((async e=>{const n={...t,common:{...t.common,issues:[]},parent:null};return{result:await e._parseAsync({data:t.data,path:t.path,parent:n}),ctx:n}}))).then((function(e){for(const t of e)if("valid"===t.result.status)return t.result;for(const n of e)if("dirty"===n.result.status)return t.common.issues.push(...n.ctx.common.issues),n.result;const n=e.map((e=>new h(e.ctx.common.issues)));return _(t,{code:f.invalid_union,unionErrors:n}),w}));{let e;const r=[];for(const i of n){const n={...t,common:{...t.common,issues:[]},parent:null},o=i._parseSync({data:t.data,path:t.path,parent:n});if("valid"===o.status)return o;"dirty"!==o.status||e||(e={result:o,ctx:n}),n.common.issues.length&&r.push(n.common.issues)}if(e)return t.common.issues.push(...e.ctx.common.issues),e.result;const i=r.map((e=>new h(e)));return _(t,{code:f.invalid_union,unionErrors:i}),w}}get options(){return this._def.options}}re.create=(e,t)=>new re({options:e,typeName:$e.ZodUnion,...k(t)});const ie=e=>e instanceof fe?ie(e.schema):e instanceof _e?ie(e.innerType()):e instanceof he?[e.value]:e instanceof me?e.options:e instanceof be?Object.keys(e.enum):e instanceof xe?ie(e._def.innerType):e instanceof K?[void 0]:e instanceof Z?[null]:null;class oe extends D{_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==d.object)return _(t,{code:f.invalid_type,expected:d.object,received:t.parsedType}),w;const n=this.discriminator,r=t.data[n],i=this.optionsMap.get(r);return i?t.common.async?i._parseAsync({data:t.data,path:t.path,parent:t}):i._parseSync({data:t.data,path:t.path,parent:t}):(_(t,{code:f.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[n]}),w)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(e,t,n){const r=new Map;for(const n of t){const t=ie(n.shape[e]);if(!t)throw new Error(`A discriminator value for key \`${e}\` could not be extracted from all schema options`);for(const i of t){if(r.has(i))throw new Error(`Discriminator property ${String(e)} has duplicate value ${String(i)}`);r.set(i,n)}}return new oe({typeName:$e.ZodDiscriminatedUnion,discriminator:e,options:t,optionsMap:r,...k(n)})}}function ae(e,t){const n=p(e),r=p(t);if(e===t)return{valid:!0,data:e};if(n===d.object&&r===d.object){const n=c.objectKeys(t),r=c.objectKeys(e).filter((e=>-1!==n.indexOf(e))),i={...e,...t};for(const n of r){const r=ae(e[n],t[n]);if(!r.valid)return{valid:!1};i[n]=r.data}return{valid:!0,data:i}}if(n===d.array&&r===d.array){if(e.length!==t.length)return{valid:!1};const n=[];for(let r=0;r<e.length;r++){const i=ae(e[r],t[r]);if(!i.valid)return{valid:!1};n.push(i.data)}return{valid:!0,data:n}}return n===d.date&&r===d.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class se extends D{_parse(e){const{status:t,ctx:n}=this._processInputParams(e),r=(e,r)=>{if(S(e)||S(r))return w;const i=ae(e.value,r.value);return i.valid?((O(e)||O(r))&&t.dirty(),{status:t.value,value:i.data}):(_(n,{code:f.invalid_intersection_types}),w)};return n.common.async?Promise.all([this._def.left._parseAsync({data:n.data,path:n.path,parent:n}),this._def.right._parseAsync({data:n.data,path:n.path,parent:n})]).then((([e,t])=>r(e,t))):r(this._def.left._parseSync({data:n.data,path:n.path,parent:n}),this._def.right._parseSync({data:n.data,path:n.path,parent:n}))}}se.create=(e,t,n)=>new se({left:e,right:t,typeName:$e.ZodIntersection,...k(n)});class ue extends D{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==d.array)return _(n,{code:f.invalid_type,expected:d.array,received:n.parsedType}),w;if(n.data.length<this._def.items.length)return _(n,{code:f.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),w;!this._def.rest&&n.data.length>this._def.items.length&&(_(n,{code:f.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),t.dirty());const r=[...n.data].map(((e,t)=>{const r=this._def.items[t]||this._def.rest;return r?r._parse(new P(n,e,n.path,t)):null})).filter((e=>!!e));return n.common.async?Promise.all(r).then((e=>v.mergeArray(t,e))):v.mergeArray(t,r)}get items(){return this._def.items}rest(e){return new ue({...this._def,rest:e})}}ue.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ue({items:e,typeName:$e.ZodTuple,rest:null,...k(t)})};class ce extends D{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==d.object)return _(n,{code:f.invalid_type,expected:d.object,received:n.parsedType}),w;const r=[],i=this._def.keyType,o=this._def.valueType;for(const e in n.data)r.push({key:i._parse(new P(n,e,n.path,e)),value:o._parse(new P(n,n.data[e],n.path,e))});return n.common.async?v.mergeObjectAsync(t,r):v.mergeObjectSync(t,r)}get element(){return this._def.valueType}static create(e,t,n){return new ce(t instanceof D?{keyType:e,valueType:t,typeName:$e.ZodRecord,...k(n)}:{keyType:B.create(),valueType:e,typeName:$e.ZodRecord,...k(t)})}}class le extends D{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==d.map)return _(n,{code:f.invalid_type,expected:d.map,received:n.parsedType}),w;const r=this._def.keyType,i=this._def.valueType,o=[...n.data.entries()].map((([e,t],o)=>({key:r._parse(new P(n,e,n.path,[o,"key"])),value:i._parse(new P(n,t,n.path,[o,"value"]))})));if(n.common.async){const e=new Map;return Promise.resolve().then((async()=>{for(const n of o){const r=await n.key,i=await 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i=this._def.valueType;function o(e){const n=new Set;for(const r of e){if("aborted"===r.status)return w;"dirty"===r.status&&t.dirty(),n.add(r.value)}return{status:t.value,value:n}}const a=[...n.data.values()].map(((e,t)=>i._parse(new P(n,e,n.path,t))));return n.common.async?Promise.all(a).then((e=>o(e))):o(a)}min(e,t){return new de({...this._def,minSize:{value:e,message:I.toString(t)}})}max(e,t){return new de({...this._def,maxSize:{value:e,message:I.toString(t)}})}size(e,t){return this.min(e,t).max(e,t)}nonempty(e){return this.min(1,e)}}de.create=(e,t)=>new de({valueType:e,minSize:null,maxSize:null,typeName:$e.ZodSet,...k(t)});class pe extends D{constructor(){super(...arguments),this.validate=this.implement}_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==d.function)return _(t,{code:f.invalid_type,expected:d.function,received:t.parsedType}),w;function n(e,n){return y({data:e,path:t.path,errorMaps:[t.common.contextualErrorMap,t.schemaErrorMap,b(),g].filter((e=>!!e)),issueData:{code:f.invalid_arguments,argumentsError:n}})}function r(e,n){return y({data:e,path:t.path,errorMaps:[t.common.contextualErrorMap,t.schemaErrorMap,b(),g].filter((e=>!!e)),issueData:{code:f.invalid_return_type,returnTypeError:n}})}const i={errorMap:t.common.contextualErrorMap},o=t.data;return this._def.returns instanceof ye?T((async(...e)=>{const t=new h([]),a=await this._def.args.parseAsync(e,i).catch((r=>{throw t.addIssue(n(e,r)),t})),s=await o(...a);return await this._def.returns._def.type.parseAsync(s,i).catch((e=>{throw t.addIssue(r(s,e)),t}))})):T(((...e)=>{const t=this._def.args.safeParse(e,i);if(!t.success)throw new h([n(e,t.error)]);const a=o(...t.data),s=this._def.returns.safeParse(a,i);if(!s.success)throw new h([r(a,s.error)]);return s.data}))}parameters(){return this._def.args}returnType(){return this._def.returns}args(...e){return new pe({...this._def,args:ue.create(e).rest(Y.create())})}returns(e){return new pe({...this._def,returns:e})}implement(e){return this.parse(e)}strictImplement(e){return this.parse(e)}static create(e,t,n){return new pe({args:e||ue.create([]).rest(Y.create()),returns:t||Y.create(),typeName:$e.ZodFunction,...k(n)})}}class fe extends D{get schema(){return this._def.getter()}_parse(e){const{ctx:t}=this._processInputParams(e);return this._def.getter()._parse({data:t.data,path:t.path,parent:t})}}fe.create=(e,t)=>new fe({getter:e,typeName:$e.ZodLazy,...k(t)});class he extends D{_parse(e){if(e.data!==this._def.value){const t=this._getOrReturnCtx(e);return _(t,{received:t.data,code:f.invalid_literal,expected:this._def.value}),w}return{status:"valid",value:e.data}}get value(){return this._def.value}}function ge(e,t){return new me({values:e,typeName:$e.ZodEnum,...k(t)})}he.create=(e,t)=>new he({value:e,typeName:$e.ZodLiteral,...k(t)});class me extends D{_parse(e){if("string"!=typeof e.data){const t=this._getOrReturnCtx(e),n=this._def.values;return _(t,{expected:c.joinValues(n),received:t.parsedType,code:f.invalid_type}),w}if(-1===this._def.values.indexOf(e.data)){const t=this._getOrReturnCtx(e),n=this._def.values;return _(t,{received:t.data,code:f.invalid_enum_value,options:n}),w}return T(e.data)}get options(){return this._def.values}get enum(){const e={};for(const t of this._def.values)e[t]=t;return e}get Values(){const e={};for(const t of this._def.values)e[t]=t;return e}get Enum(){const e={};for(const t of this._def.values)e[t]=t;return e}extract(e){return me.create(e)}exclude(e){return me.create(this.options.filter((t=>!e.includes(t))))}}me.create=ge;class be extends D{_parse(e){const t=c.getValidEnumValues(this._def.values),n=this._getOrReturnCtx(e);if(n.parsedType!==d.string&&n.parsedType!==d.number){const e=c.objectValues(t);return _(n,{expected:c.joinValues(e),received:n.parsedType,code:f.invalid_type}),w}if(-1===t.indexOf(e.data)){const e=c.objectValues(t);return _(n,{received:n.data,code:f.invalid_enum_value,options:e}),w}return T(e.data)}get enum(){return this._def.values}}be.create=(e,t)=>new be({values:e,typeName:$e.ZodNativeEnum,...k(t)});class ye extends D{unwrap(){return this._def.type}_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==d.promise&&!1===t.common.async)return _(t,{code:f.invalid_type,expected:d.promise,received:t.parsedType}),w;const n=t.parsedType===d.promise?t.data:Promise.resolve(t.data);return T(n.then((e=>this._def.type.parseAsync(e,{path:t.path,errorMap:t.common.contextualErrorMap}))))}}ye.create=(e,t)=>new ye({type:e,typeName:$e.ZodPromise,...k(t)});class _e extends D{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===$e.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(e){const{status:t,ctx:n}=this._processInputParams(e),r=this._def.effect||null;if("preprocess"===r.type){const e=r.transform(n.data);return n.common.async?Promise.resolve(e).then((e=>this._def.schema._parseAsync({data:e,path:n.path,parent:n}))):this._def.schema._parseSync({data:e,path:n.path,parent:n})}const i={addIssue:e=>{_(n,e),e.fatal?t.abort():t.dirty()},get path(){return n.path}};if(i.addIssue=i.addIssue.bind(i),"refinement"===r.type){const e=e=>{const t=r.refinement(e,i);if(n.common.async)return Promise.resolve(t);if(t instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. 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t.parsedType===d.undefined&&(n=this._def.defaultValue()),this._def.innerType._parse({data:n,path:t.path,parent:t})}removeDefault(){return this._def.innerType}}xe.create=(e,t)=>new xe({innerType:e,typeName:$e.ZodDefault,defaultValue:"function"==typeof t.default?t.default:()=>t.default,...k(t)});class Te extends D{_parse(e){const{ctx:t}=this._processInputParams(e),n={...t,common:{...t.common,issues:[]}},r=this._def.innerType._parse({data:n.data,path:n.path,parent:{...n}});return E(r)?r.then((e=>({status:"valid",value:"valid"===e.status?e.value:this._def.catchValue({get error(){return new h(n.common.issues)},input:n.data})}))):{status:"valid",value:"valid"===r.status?r.value:this._def.catchValue({get error(){return new h(n.common.issues)},input:n.data})}}removeCatch(){return this._def.innerType}}Te.create=(e,t)=>new Te({innerType:e,typeName:$e.ZodCatch,catchValue:"function"==typeof t.catch?t.catch:()=>t.catch,...k(t)});class Se extends D{_parse(e){if(this._getType(e)!==d.nan){const t=this._getOrReturnCtx(e);return _(t,{code:f.invalid_type,expected:d.nan,received:t.parsedType}),w}return{status:"valid",value:e.data}}}Se.create=e=>new Se({typeName:$e.ZodNaN,...k(e)});const Oe=Symbol("zod_brand");class Ae extends D{_parse(e){const{ctx:t}=this._processInputParams(e),n=t.data;return this._def.type._parse({data:n,path:t.path,parent:t})}unwrap(){return this._def.type}}class Ee extends D{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.common.async)return(async()=>{const e=await this._def.in._parseAsync({data:n.data,path:n.path,parent:n});return"aborted"===e.status?w:"dirty"===e.status?(t.dirty(),x(e.value)):this._def.out._parseAsync({data:e.value,path:n.path,parent:n})})();{const e=this._def.in._parseSync({data:n.data,path:n.path,parent:n});return"aborted"===e.status?w:"dirty"===e.status?(t.dirty(),{status:"dirty",value:e.value}):this._def.out._parseSync({data:e.value,path:n.path,parent:n})}}static create(e,t){return new Ee({in:e,out:t,typeName:$e.ZodPipeline})}}const Ie=(e,t={},n)=>e?X.create().superRefine(((r,i)=>{var o,a;if(!e(r)){const e="function"==typeof t?t(r):"string"==typeof t?{message:t}:t,s=null===(a=null!==(o=e.fatal)&&void 0!==o?o:n)||void 0===a||a,u="string"==typeof e?{message:e}:e;i.addIssue({code:"custom",...u,fatal:s})}})):X.create(),Pe={object:ne.lazycreate};var $e;!function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"}($e||($e={}));const ke=B.create,De=V.create,Ce=Se.create,Re=G.create,Ne=W.create,Me=H.create,je=q.create,Le=K.create,Fe=Z.create,Ue=X.create,Be=Y.create,ze=J.create,Ve=Q.create,Ge=ee.create,We=ne.create,He=ne.strictCreate,qe=re.create,Ke=oe.create,Ze=se.create,Xe=ue.create,Ye=ce.create,Je=le.create,Qe=de.create,et=pe.create,tt=fe.create,nt=he.create,rt=me.create,it=be.create,ot=ye.create,at=_e.create,st=ve.create,ut=we.create,ct=_e.createWithPreprocess,lt=Ee.create,dt={string:e=>B.create({...e,coerce:!0}),number:e=>V.create({...e,coerce:!0}),boolean:e=>W.create({...e,coerce:!0}),bigint:e=>G.create({...e,coerce:!0}),date:e=>H.create({...e,coerce:!0})},pt=w;var ft=Object.freeze({__proto__:null,defaultErrorMap:g,setErrorMap:function(e){m=e},getErrorMap:b,makeIssue:y,EMPTY_PATH:[],addIssueToContext:_,ParseStatus:v,INVALID:w,DIRTY:x,OK:T,isAborted:S,isDirty:O,isValid:A,isAsync:E,get util(){return c},get objectUtil(){return l},ZodParsedType:d,getParsedType:p,ZodType:D,ZodString:B,ZodNumber:V,ZodBigInt:G,ZodBoolean:W,ZodDate:H,ZodSymbol:q,ZodUndefined:K,ZodNull:Z,ZodAny:X,ZodUnknown:Y,ZodNever:J,ZodVoid:Q,ZodArray:ee,ZodObject:ne,ZodUnion:re,ZodDiscriminatedUnion:oe,ZodIntersection:se,ZodTuple:ue,ZodRecord:ce,ZodMap:le,ZodSet:de,ZodFunction:pe,ZodLazy:fe,ZodLiteral:he,ZodEnum:me,ZodNativeEnum:be,ZodPromise:ye,ZodEffects:_e,ZodTransformer:_e,ZodOptional:ve,ZodNullable:we,ZodDefault:xe,ZodCatch:Te,ZodNaN:Se,BRAND:Oe,ZodBranded:Ae,ZodPipeline:Ee,custom:Ie,Schema:D,ZodSchema:D,late:Pe,get ZodFirstPartyTypeKind(){return $e},coerce:dt,any:Ue,array:Ge,bigint:Re,boolean:Ne,date:Me,discriminatedUnion:Ke,effect:at,enum:rt,function:et,instanceof:(e,t={message:`Input not instance of ${e.name}`})=>Ie((t=>t instanceof 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