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r=0;r>>3){case 1:if(d.dims&&d.dims.length||(d.dims=[]),(7&g)==2)for(var m=e.uint32()+e.pos;e.pos>>0,e.dims[i].high>>>0).toNumber())}if(e.dataType!=null&&(r.dataType=0|e.dataType),e.segment!=null){if(typeof e.segment!="object")throw TypeError(".onnx.TensorProto.segment: object expected");r.segment=s.onnx.TensorProto.Segment.fromObject(e.segment)}if(e.floatData){if(!Array.isArray(e.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");for(r.floatData=[],i=0;i>>0,e.int64Data[i].high>>>0).toNumber())}if(e.name!=null&&(r.name=String(e.name)),e.docString!=null&&(r.docString=String(e.docString)),e.rawData!=null&&(typeof e.rawData=="string"?l.base64.decode(e.rawData,r.rawData=l.newBuffer(l.base64.length(e.rawData)),0):e.rawData.length&&(r.rawData=e.rawData)),e.externalData){if(!Array.isArray(e.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(r.externalData=[],i=0;i>>0,e.uint64Data[i].high>>>0).toNumber(!0))}return 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d=0;d>>0,e.dims[d].high>>>0).toNumber():e.dims[d]}if(e.dataType!=null&&e.hasOwnProperty("dataType")&&(i.dataType=e.dataType),e.segment!=null&&e.hasOwnProperty("segment")&&(i.segment=s.onnx.TensorProto.Segment.toObject(e.segment,r)),e.floatData&&e.floatData.length)for(i.floatData=[],d=0;d>>0,e.int64Data[d].high>>>0).toNumber():e.int64Data[d];if(e.name!=null&&e.hasOwnProperty("name")&&(i.name=e.name),e.rawData!=null&&e.hasOwnProperty("rawData")&&(i.rawData=r.bytes===String?l.base64.encode(e.rawData,0,e.rawData.length):r.bytes===Array?Array.prototype.slice.call(e.rawData):e.rawData),e.doubleData&&e.doubleData.length)for(i.doubleData=[],d=0;d>>0,e.uint64Data[d].high>>>0).toNumber(!0):e.uint64Data[d];if(e.docString!=null&&e.hasOwnProperty("docString")&&(i.docString=e.docString),e.externalData&&e.externalData.length)for(i.externalData=[],d=0;d>>3){case 1:g.begin=r.int64();break;case 2:g.end=r.int64();break;default:r.skipType(7&m)}}return g},e.decodeDelimited=function(r){return r instanceof 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d={};if(i.dimValue!=null&&i.hasOwnProperty("dimValue")&&(d.value=1,!(l.isInteger(i.dimValue)||i.dimValue&&l.isInteger(i.dimValue.low)&&l.isInteger(i.dimValue.high))))return"dimValue: integer|Long expected";if(i.dimParam!=null&&i.hasOwnProperty("dimParam")){if(d.value===1)return"value: multiple values";if(d.value=1,!l.isString(i.dimParam))return"dimParam: string expected"}return i.denotation!=null&&i.hasOwnProperty("denotation")&&!l.isString(i.denotation)?"denotation: string expected":null},e.fromObject=function(i){if(i instanceof s.onnx.TensorShapeProto.Dimension)return i;var d=new s.onnx.TensorShapeProto.Dimension;return i.dimValue!=null&&(l.Long?(d.dimValue=l.Long.fromValue(i.dimValue)).unsigned=!1:typeof i.dimValue=="string"?d.dimValue=parseInt(i.dimValue,10):typeof i.dimValue=="number"?d.dimValue=i.dimValue:typeof i.dimValue=="object"&&(d.dimValue=new 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1:g.tensorType=s.onnx.TypeProto.Tensor.decode(r,r.uint32());break;case 6:g.denotation=r.string();break;default:r.skipType(7&m)}}return g},t.decodeDelimited=function(r){return r instanceof h||(r=new h(r)),this.decode(r,r.uint32())},t.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.tensorType!=null&&r.hasOwnProperty("tensorType")){var i=s.onnx.TypeProto.Tensor.verify(r.tensorType);if(i)return"tensorType."+i}return r.denotation!=null&&r.hasOwnProperty("denotation")&&!l.isString(r.denotation)?"denotation: string expected":null},t.fromObject=function(r){if(r instanceof s.onnx.TypeProto)return r;var i=new s.onnx.TypeProto;if(r.tensorType!=null){if(typeof r.tensorType!="object")throw TypeError(".onnx.TypeProto.tensorType: object expected");i.tensorType=s.onnx.TypeProto.Tensor.fromObject(r.tensorType)}return r.denotation!=null&&(i.denotation=String(r.denotation)),i},t.toObject=function(r,i){i||(i={});var d={};return 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s.isPacked?this.getPackedOutputSamplingSnippet(s):this.getUnpackedOutputSamplingSnippet(s)}getPackedOutputSamplingSnippet(s){const t=s.unpackedShape,e=[s.width,s.height],r={},i="getOutputCoords";switch(t.length){case 0:r[i]=this.getOutputScalarCoords();break;case 1:r[i]=this.getOutputPacked1DCoords(t,e);break;case 2:r[i]=this.getOutputPacked2DCoords(t,e);break;case 3:r[i]=this.getOutputPacked3DCoords(t,e);break;default:r[i]=this.getOutputPackedNDCoords(t,e)}const d=` + void setOutput(vec4 val) { + ${(0,p.getGlsl)(this.context.glContext.version).output} = val; + } + `;return r.floatTextureSetRGBA=new c.GlslLibRoutine(d),r}getUnpackedOutputSamplingSnippet(s){const t=s.unpackedShape,e=[s.width,s.height],r={},i="getOutputCoords";switch(t.length){case 0:r[i]=this.getOutputScalarCoords();break;case 1:r[i]=this.getOutputUnpacked1DCoords(t,e);break;case 2:r[i]=this.getOutputUnpacked2DCoords(t,e);break;case 3:r[i]=this.getOutputUnpacked3DCoords(t,e);break;case 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c.GlslLibRoutine(r))}getOutputPacked2DCoords(s,t){let e="";if(u.ArrayUtil.arraysEqual(s,t))return e=` + ivec2 getOutputCoords() { + return 2 * ivec2(TexCoords.xy * vec2(${t[0]}, ${t[1]})); + } + `,new c.GlslLibRoutine(e);const r=t,i=Math.ceil(s[1]/2);return e=` + ivec2 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${r[0]}, ${r[1]})); + + int index = resTexRC.y * ${r[0]} + resTexRC.x; + + // reverse r and c order for packed texture + int r = imod(index, ${i}) * 2; + int c = 2 * (index / ${i}); + + return ivec2(r, c); + } + `,new c.GlslLibRoutine(e)}getOutputPacked3DCoords(s,t){const e=[t[0],t[1]],r=Math.ceil(s[2]/2),i=r*Math.ceil(s[1]/2),d=` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${e[0]}, ${e[1]})); + int index = resTexRC.y * ${e[0]} + resTexRC.x; + + int b = index / ${i}; + index -= b * ${i}; + + // reverse r and c order for packed texture + int r = imod(index, ${r}) * 2; + int c = 2 * (index / ${r}); + + return ivec3(b, r, c); + } + `;return new c.GlslLibRoutine(d)}getOutputPackedNDCoords(s,t){const e=[t[0],t[1]],r=Math.ceil(s[s.length-1]/2),i=r*Math.ceil(s[s.length-2]/2);let d=i,g="",m="b, r, c";for(let y=2;y=0;--m)i[m]=i[m+1]*s[m+1];const d=["r","c","d"],g=i.map((m,_)=>`int ${d[_]} = index / ${m}; ${_===i.length-1?`int ${d[_+1]} = index - ${d[_]} * ${m}`:`index -= ${d[_]} * ${m}`};`).join("");return e=` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${g} + return ivec3(r, c, d); + } + `,new c.GlslLibRoutine(e)}getOutputUnpacked4DCoords(s,t){let e="";const r=s.length;let i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=s[r-1];for(let m=r-3;m>=0;--m)i[m]=i[m+1]*s[m+1];const d=["r","c","d","d2"],g=i.map((m,_)=>`int ${d[_]} = index / ${m}; ${_===i.length-1?`int ${d[_+1]} = index - ${d[_]} * ${m}`:`index -= ${d[_]} * ${m}`};`).join("");return e=` + ivec4 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${g} + return ivec4(r, c, d, d2); + } + `,new c.GlslLibRoutine(e)}getOutputUnpacked5DCoords(s,t){let e="";const r=s.length;let i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=s[r-1];for(let m=r-3;m>=0;--m)i[m]=i[m+1]*s[m+1];const d=["r","c","d","d2","d3"],g=i.map((m,_)=>`int ${d[_]} = index / ${m}; ${_===i.length-1?`int ${d[_+1]} = index - ${d[_]} * ${m}`:`index -= ${d[_]} * ${m}`};`).join("");return e=` + ivec5 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${g} + return ivec5(r, c, d, d2, d3); + } + `,new c.GlslLibRoutine(e)}getOutputUnpacked6DCoords(s,t){let e="";const r=s.length;let i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=s[r-1];for(let m=r-3;m>=0;--m)i[m]=i[m+1]*s[m+1];const d=["r","c","d","d2","d3","d4"],g=i.map((m,_)=>`int ${d[_]} = index / ${m}; ${_===i.length-1?`int ${d[_+1]} = index - ${d[_]} * ${m}`:`index -= ${d[_]} * ${m}`};`).join("");return e=` + ivec6 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${g} + return ivec6(r, c, d, d2, d3, d4); + } + `,new c.GlslLibRoutine(e)}getCommonUtilFuncs(){const s={};let t="uvFromFlat";s[t]=new c.GlslLibRoutine(` + vec2 uvFromFlat(int texNumR, int texNumC, int index) { + int texC = index / texNumR; + int texR = index - texC * texNumR; + // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to + // v. + return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC); + } + `),t="packedUVfrom1D",s[t]=new c.GlslLibRoutine(` + vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { + int texelIndex = index / 2; + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="packedUVfrom2D",s[t]=new c.GlslLibRoutine(` + vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) { + int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="packedUVfrom3D",s[t]=new c.GlslLibRoutine(` + vec2 packedUVfrom3D(int texNumR, int texNumC, + int texelsInBatch, int texelsInLogicalRow, int b, + int row, int col) { + int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2); + int texR = index / texNumC; + int texC = index - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="sampleTexture";const e=(0,p.getGlsl)(this.context.glContext.version);return s[t]=new c.GlslLibRoutine(` + float sampleTexture(sampler2D textureSampler, vec2 uv) { + return ${e.texture2D}(textureSampler, uv).r; + }`),s}getInputsSamplingSnippets(){const s={},t=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((e,r)=>{const i=this.context.inputTextureLayouts[r],d=(0,h.generateShaderFuncNameFromInputSamplerName)(e);i.isPacked?s[d]=this.getPackedSamplerFromInput(d,e,i):s[d]=this.getUnpackedSamplerFromInput(d,e,i);const g=(0,h.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(e);i.unpackedShape.length<=t.unpackedShape.length&&(i.isPacked?s[g]=this.getPackedSamplerAtOutputCoords(g,i,t,e):s[g]=this.getUnpackedSamplerAtOutputCoords(g,i,t,e))}),s}getPackedSamplerAtOutputCoords(s,t,e,r){const i=t.unpackedShape,d=e.unpackedShape,g=r,m=(0,h.generateShaderFuncNameFromInputSamplerName)(g),_=i.length,y=d.length,w=u.BroadcastUtil.getBroadcastDims(i,d),v=(0,h.getCoordsDataType)(y),S=y-_;let A;const O=(0,h.getGlChannels)();A=_===0?"":y<2&&w.length>=1?"coords = 0;":w.map(F=>`coords.${O[F+S]} = 0;`).join(` +`);let x="";x=y<2&&_>0?"coords":i.map((F,V)=>`coords.${O[V+S]}`).join(", ");let I="return outputValue;";const N=u.ShapeUtil.size(i)===1,R=u.ShapeUtil.size(d)===1;if(_!==1||N||R){if(N&&!R)I=y===1?` + return vec4(outputValue.x, outputValue.x, 0., 0.); + `:` + return vec4(outputValue.x); + `;else if(w.length){const F=_-2,V=_-1;w.indexOf(F)>-1&&w.indexOf(V)>-1?I="return vec4(outputValue.x);":w.indexOf(F)>-1?I="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":w.indexOf(V)>-1&&(I="return vec4(outputValue.xx, outputValue.zz);")}}else I=` + return vec4(outputValue.xy, outputValue.xy); + `;const L=` + vec4 ${s}() { + ${v} coords = getOutputCoords(); + + int lastDim = coords.${O[y-1]}; + coords.${O[y-1]} = coords.${O[y-2]}; + coords.${O[y-2]} = lastDim; + + ${A} + vec4 outputValue = ${m}(${x}); + ${I} + } + `;return new c.GlslLibRoutine(L,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(s,t,e,r){const i=[e.width,e.height],d=[t.width,t.height],g=t.unpackedShape.length,m=e.unpackedShape.length,_=t.unpackedShape,y=e.unpackedShape,w=(0,h.generateShaderFuncNameFromInputSamplerName)(r);if(g===m&&u.ArrayUtil.arraysEqual(d,i)){const R=` + float ${s}() { + return sampleTexture(${r}, TexCoords); + } + `;return new c.GlslLibRoutine(R,["coordinates.sampleTexture"])}const v=(0,h.getCoordsDataType)(m),S=u.BroadcastUtil.getBroadcastDims(_,y),A=m-g;let O;const x=(0,h.getGlChannels)();O=g===0?"":m<2&&S.length>=1?"coords = 0;":S.map(R=>`coords.${x[R+A]} = 0;`).join(` +`);let I="";I=m<2&&g>0?"coords":t.unpackedShape.map((R,L)=>`coords.${x[L+A]}`).join(", ");const N=` + float ${s}() { + ${v} coords = getOutputCoords(); + ${O} + return ${w}(${I}); + } + `;return new c.GlslLibRoutine(N,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(s,t,e){switch(e.unpackedShape.length){case 0:return this.getPackedSamplerScalar(s,t);case 1:return this.getPackedSampler1D(s,t,e);case 2:return this.getPackedSampler2D(s,t,e);case 3:return this.getPackedSampler3D(s,t,e);default:return this.getPackedSamplerND(s,t,e)}}getUnpackedSamplerFromInput(s,t,e){const r=e.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(s,t,e);case 1:return this.getUnpackedSampler1D(s,t,e);case 2:return this.getUnpackedSampler2D(s,t,e);case 3:return this.getUnpackedSampler3D(s,t,e);case 4:return this.getUnpackedSampler4D(s,t,e);case 5:return this.getUnpackedSampler5D(s,t,e);case 6:return this.getUnpackedSampler6D(s,t,e);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(s,t){const e=` + vec4 ${s}() { + return ${(0,p.getGlsl)(this.context.glContext.version).texture2D}(${t}, halfCR); + } + `;return new c.GlslLibRoutine(e)}getPackedSampler1D(s,t,e){const r=[e.width,e.height],i=[r[1],r[0]],d=(0,p.getGlsl)(this.context.glContext.version),g=`vec4 ${s}(int index) { + vec2 uv = packedUVfrom1D( + ${i[0]}, ${i[1]}, index); + return ${d.texture2D}(${t}, uv); + }`;return new c.GlslLibRoutine(g,["coordinates.packedUVfrom1D"])}getPackedSampler2D(s,t,e){const r=e.unpackedShape,i=[e.width,e.height],d=(0,p.getGlsl)(this.context.glContext.version),g=i[0],m=i[1];if(i!=null&&u.ArrayUtil.arraysEqual(r,i)){const v=`vec4 ${s}(int row, int col) { + vec2 uv = (vec2(col, row) + halfCR) / vec2(${m}.0, ${g}.0); + return ${d.texture2D}(${t}, uv); + }`;return new c.GlslLibRoutine(v)}const _=i,y=Math.ceil(r[1]/2),w=`vec4 ${s}(int row, int col) { + vec2 uv = packedUVfrom2D(${_[1]}, ${_[0]}, ${y}, row, col); + return ${d.texture2D}(${t}, uv); + }`;return new c.GlslLibRoutine(w,["coordinates.packedUVfrom2D"])}getPackedSampler3D(s,t,e){const r=e.unpackedShape,i=[e.width,e.height],d=[i[0],i[1]],g=(0,p.getGlsl)(this.context.glContext.version);if(r[0]===1){const v=r.slice(1),S=[1,2],A=(0,h.squeezeInputShape)(r,v),O=["b","row","col"],x=JSON.parse(JSON.stringify(e));x.unpackedShape=A;const I=this.getPackedSamplerFromInput(s,t,x),N=`${I.routineBody} + vec4 ${s}(int b, int row, int col) { + return ${s}(${(0,h.getSqueezedParams)(O,S)}); + } `;return new c.GlslLibRoutine(N,I.dependencies)}const m=d[0],_=d[1],y=Math.ceil(r[2]/2),w=`vec4 ${s}(int b, int row, int col) { + vec2 uv = packedUVfrom3D( + ${_}, ${m}, ${y*Math.ceil(r[1]/2)}, ${y}, b, row, col); + return ${g.texture2D}(${t}, uv);}`;return new c.GlslLibRoutine(w,["coordinates.packedUVfrom3D"])}getPackedSamplerND(s,t,e){const r=e.unpackedShape,i=r.length,d=[e.width,e.height],g=(0,p.getGlsl)(this.context.glContext.version),m=[d[0],d[1]],_=m[1],y=m[0],w=Math.ceil(r[i-1]/2);let v=w*Math.ceil(r[i-2]/2),S="int b, int row, int col",A=`b * ${v} + (row / 2) * ${w} + (col / 2)`;for(let x=2;x{const r=this.context.inputTextureLayouts[e],i=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length;let d=`_${t}`;s[d]=new c.GlslLibRoutine(this.getValueFromSingle(t,i,r.width,r.height,!1),[`shapeUtils.indicesToOffset${d}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),d+="_T",s[d]=new 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Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new u.GlslLibRoutine(`highp vec4 encode(highp float f) { + return vec4(f, 0.0, 0.0, 0.0); + } + `)}}decodeFloat32(){return{decode:new u.GlslLibRoutine(`highp float decode(highp vec4 rgba) { + return rgba.r; + } + `)}}encodeUint8(){const a=c.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new u.GlslLibRoutine(` + highp vec4 encode(highp float f) { + highp float F = abs(f); + highp float Sign = step(0.0,-f); + highp float Exponent = floor(log2(F)); + highp float Mantissa = (exp2(- Exponent) * F); + Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa)); + highp vec4 rgba; + rgba[0] = 128.0 * Sign + floor(Exponent*exp2(-1.0)); + rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0); + rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0))); + rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0))); + ${a} + rgba = rgba / 255.0; // values need to be normalized to [0,1] + return rgba; + } + `)}}decodeUint8(){const a=c.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new u.GlslLibRoutine(` + highp float decode(highp vec4 rgba) { + rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255] + ${a} + highp float Sign = 1.0 - step(128.0,rgba[0])*2.0; + highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0; + highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000); + highp float Result = Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 )); + return Result; + } + `)}}static isLittleEndian(){const a=new ArrayBuffer(4),h=new Uint32Array(a),f=new Uint8Array(a);if(h[0]=3735928559,f[0]===239)return!0;if(f[0]===222)return!1;throw new Error("unknown endianness")}}n.EncodingGlslLib=c},9894:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.FragColorGlslLib=void 0;const u=o(8520),c=o(5060);class p extends 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b; + } + vec4 ${v}(vec4 v1, vec4 v2) { + return v1 - v2; + } + `,name:v,type:c.FunctionType.ValueBased}}function t(){const v="equal_";return{body:` + float ${v}(float a, float b) { + return float(a == b); + } + vec4 ${v}(vec4 v1, vec4 v2) { + return vec4(equal(v1, v2)); + } + `,name:v,type:c.FunctionType.ValueBased}}function e(){const v="greater_";return{body:` + float ${v}(float a, float b) { + return float(a > b); + } + vec4 ${v}(vec4 v1, vec4 v2) { + return vec4( v1.r > v2.r , + v1.g > v2.g, + v1.b > v2.b, + v1.a > v2.a ); + } + `,name:v,type:c.FunctionType.ValueBased}}function r(){const v="less_";return{body:` + float ${v}(float a, float b) { + return float(a < b); + } + vec4 ${v}(vec4 v1, vec4 v2) { + return vec4( v1.r < v2.r , + v1.g < v2.g, + v1.b < v2.b, + v1.a < v2.a ); + } + `,name:v,type:c.FunctionType.ValueBased}}function i(){const v="and_";return{body:` + float ${v}(float a, float b) { + return float( bool(a) && bool(b) ); + } + vec4 ${v}(vec4 v1, vec4 v2) { + bvec4 b1 = bvec4(v1); + bvec4 b2 = bvec4(v2); + return vec4( b1.r && b2.r , + b1.g && b2.g, + b1.b && b2.b, + b1.a && b2.a ); + } + `,name:v,type:c.FunctionType.ValueBased}}function d(){const v="or_";return{body:` + float ${v}(float a, float b) { + return float( bool(a) || bool(b) ); + } + vec4 ${v}(vec4 v1, vec4 v2) { + bvec4 b1 = bvec4(v1); + bvec4 b2 = bvec4(v2); + return vec4( b1.r || b2.r , + b1.g || b2.g, + b1.b || b2.b, + b1.a || b2.a ); + } + `,name:v,type:c.FunctionType.ValueBased}}function g(){const v="xor_";return{body:` + float ${v}(float a, float b) { + return float( bool(a) ^^ bool(b) ); + } + vec4 ${v}(vec4 v1, vec4 v2) { + bvec4 b1 = bvec4(v1); + bvec4 b2 = bvec4(v2); + return vec4( b1.r ^^ b2.r , + b1.g ^^ b2.g, + b1.b ^^ b2.b, + b1.a ^^ b2.a ); + } + `,name:v,type:c.FunctionType.ValueBased}}function m(){return function(v){const S=`${v}_`;return{body:` + float ${S}(float a, float b) { + return ${v}(a, b); + } + vec4 ${S}(vec4 v1, vec4 v2) { + return ${v}(v1, v2); + } + `,name:S,type:c.FunctionType.ValueBased}}("pow")}function _(){const v="prelu_";return{body:` + float ${v}(float a, float b) { + return a < 0.0 ? a * b: a; + } + vec4 ${v}(vec4 v1, vec4 v2) { + return vec4( + v1.r < 0.0 ? v1.r * v2.r: v1.r, + v1.g < 0.0 ? v1.g * v2.g: v1.g, + v1.b < 0.0 ? v1.b * v2.b: v1.b, + v1.a < 0.0 ? v1.a * v2.a: v1.a + ); + } + `,name:v,type:c.FunctionType.ValueBased}}n.glslAdd=h,n.glslDiv=f,n.glslMul=l,n.glslSub=s,n.glslEqual=t,n.glslGreater=e,n.glslLess=r,n.glslAnd=i,n.glslOr=d,n.glslXor=g,n.glslPow=m,n.glslPRelu=_;const y=(v,S,A,O=S[0].type,x)=>{const I=v.session.pack?a.TextureType.packed:a.TextureType.unpacked;return{name:A.name,inputNames:["A","B"],inputTypes:[I,I],cacheHint:x,get:()=>w(v,S,A,O)}},w=(v,S,A,O=S[0].type)=>{const x=v.session.pack?a.TextureType.packed:a.TextureType.unpacked,I=!u.ShapeUtil.areEqual(S[0].dims,S[1].dims);let N=S[0].dims;const R=v.session.pack;if(I){const V=u.BroadcastUtil.calcShape(S[0].dims,S[1].dims,!1);if(!V)throw new Error("Can't perform binary op on the given tensors");N=V;const D=N.length,j=S[0].dims.length!==0?S[0].dims.length:1,Q=S[1].dims.length!==0?S[1].dims.length:1,X=S[0].dims.length!==0?"bcastIndices_A(indices, aindices);":"aindices[0] = 0;",J=S[1].dims.length!==0?"bcastIndices_B(indices, bindices);":"bindices[0] = 0;",ee=(0,p.getGlsl)(v.session.backend.glContext.version),ue=R?` + ${A.body} + void main() { + vec4 a = getAAtOutCoords(); + vec4 b = getBAtOutCoords(); + vec4 result = ${A.name}(a, b); + ${ee.output} = result; + }`:` + ${A.body} + float process(int indices[${D}]) { + int aindices[${j}]; + int bindices[${Q}]; + ${X} + ${J} + return ${A.name}(_A(aindices), _B(bindices)); + }`;return{name:A.name,inputNames:["A","B"],inputTypes:[x,x],output:{dims:N,type:O,textureType:x},shaderSource:ue,hasMain:R}}const L=(0,p.getGlsl)(v.session.backend.glContext.version),F=` + ${A.body} + void main() { + vec4 v1 = ${L.texture2D}(A, TexCoords); + vec4 v2 = ${L.texture2D}(B, TexCoords); + vec4 result = ${A.name}(v1, v2); + ${L.output} = result; + } + `;return{name:A.name,inputNames:["A","B"],inputTypes:[x,x],output:{dims:S[0].dims,type:O,textureType:x},shaderSource:F,hasMain:!0}};n.add=(v,S)=>[v.run(y(v,S,h()),S)],n.and=(v,S)=>[v.run(y(v,S,i(),"bool"),S)],n.div=(v,S)=>[v.run(y(v,S,f()),S)],n.equal=(v,S)=>[v.run(y(v,S,t(),"bool"),S)],n.greater=(v,S)=>[v.run(y(v,S,e(),"bool"),S)],n.less=(v,S)=>[v.run(y(v,S,r(),"bool"),S)],n.mul=(v,S)=>[v.run(y(v,S,l()),S)],n.or=(v,S)=>[v.run(y(v,S,d(),"bool"),S)],n.pow=(v,S)=>[v.run(y(v,S,m()),S)],n.pRelu=(v,S)=>[v.run(y(v,S,_()),S)],n.sub=(v,S)=>[v.run(y(v,S,s()),S)],n.xor=(v,S)=>[v.run(y(v,S,g(),"bool"),S)]},4196:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseCastAttributes=n.cast=void 0;const u=o(2517);n.cast=(p,a,h)=>(c(a),[p.cast(a[0],h)]),n.parseCastAttributes=p=>u.ProtoUtil.tensorDataTypeFromProto(p.attributes.getInt("to"));const c=p=>{if(!p||p.length!==1)throw new Error("Cast requires 1 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j=(0,u.getGlsl)(i.session.backend.glContext.version),Q=` + ${A} + float getValue(${x.map(X=>"int "+X)}) { + ${F} + } + + void main() { + ${S} coords = getOutputCoords(); + int lastDim = coords.${x[w-1]}; + coords.${x[w-1]} = coords.${x[w-2]}; + coords.${x[w-2]} = lastDim; + + vec4 result = vec4(getValue(${v}), 0., 0., 0.); + + ${v[w-1]} = ${v[w-1]} + 1; + if (${v[w-1]} < ${y[w-1]}) { + result.g = getValue(${v}); + } + + ${v[w-2]} = ${v[w-2]} + 1; + if (${v[w-2]} < ${y[w-2]}) { + result.a = getValue(${v}); + } + + ${v[w-1]} = ${v[w-1]} - 1; + if (${v[w-2]} < ${y[w-2]} && + ${v[w-1]} < ${y[w-1]}) { + result.b = getValue(${v}); + } + ${j.output} = result; + } + `;return Object.assign(Object.assign({},d),{output:{dims:y,type:g[0].type,textureType:c.TextureType.packed},shaderSource:Q,hasMain:!0})})(f,t,l,s.axis)})};const h=(f,l,s)=>{const t=f.indexOf(l);return f.map((e,r)=>r===t?`${e} - 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Object.assign(Object.assign({},t),{get:()=>((i,d,g,m)=>{const _=d.length>2?"value += getBias(output_channel);":"",y=d[0].dims.slice(),w=d[1].dims.slice(),v=w[0]/m.group;u.Logger.verbose("GroupedConv",`autpPad:${m.autoPad}, dilations:${m.dilations}, group:${m.group}, kernelShape:${m.kernelShape}, pads:${m.pads}, strides:${m.strides}`);const S=(0,a.calculateOutputShape)(y,w,m.dilations,m.pads,m.strides),A=(0,c.getGlsl)(i.session.backend.glContext.version),{activationFunction:O,applyActivation:x}=(0,h.getActivationSnippet)(m),I=` + const ivec2 strides = ivec2(${m.strides[0]}, ${m.strides[1]}); + const ivec2 pads = ivec2(${m.pads[0]}, ${m.pads[1]}); + ${O} + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + int output_channel = coords.y; + ivec2 xRCCorner = coords.zw * strides - pads; + int group_id = output_channel / ${v}; + + float value = 0.0; + for (int wInChannel = 0; wInChannel < ${w[1]}; wInChannel++) { + int input_channel = group_id * ${w[1]} + wInChannel; + for (int wHeight = 0; wHeight < ${w[2]}; wHeight++) { + int xHeight = xRCCorner.x + wHeight * ${m.dilations[0]}; + + if (xHeight < 0 || xHeight >= ${y[2]}) { + continue; + } + + for (int wWidth = 0; wWidth < ${w[3]}; wWidth++) { + int xWidth = xRCCorner.y + wWidth * ${m.dilations[1]}; + if (xWidth < 0 || xWidth >= ${y[3]}) { + continue; + } + + float xVal = getX(batch, input_channel, xWidth, xHeight); + float wVal = getW(output_channel, wInChannel, wWidth, wHeight); + value += xVal*wVal; + } + } + } + ${_} + ${x} + ${A.output} = vec4(value, .0, .0, .0); + } +`;return Object.assign(Object.assign({},g),{output:{dims:S,type:d[0].type,textureType:p.TextureType.unpacked},shaderSource:I,hasMain:!0})})(f,l,t,s)})}},1386:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.conv2DPacked=n.conv2DPackedPointwise=void 0;const u=o(8138),c=o(8555),p=o(708);n.conv2DPackedPointwise=(a,h,f)=>{const l=h[0].dims,s=h[1].dims,t=(0,u.calculateOutputShape)(l,s,f.dilations,f.pads,f.strides),e=a.reshapePacked(h[0],[l[1],l[2]*l[3]]),r=a.reshapePacked(h[1],[s[0],s[1]]),i=h.length>2?[r,e,h[2]]:[r,e],d=a.run((0,p.createPackedMatmulProgramInfoLoader)(a,i,f),i);return a.reshapePacked(d,t)},n.conv2DPacked=(a,h,f)=>{const l=h[0].dims,s=h[1].dims,t=(0,u.calculateOutputShape)(l,s,f.dilations,f.pads,f.strides),e=a.run((0,c.createPackedIm2ColProgramInfoLoader)(a,h[0],h[1],t,f),[h[0]]),r=a.reshapePacked(h[1],[s[0],s[1]*s[2]*s[3]]),i=h.length===3?[r,e,h[2]]:[r,e],d=a.run((0,p.createPackedMatmulProgramInfoLoader)(a,i,f),i);return a.reshapePacked(d,t)}},9663:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseConvTransposeAttributes=n.convTranspose=void 0;const u=o(246),c=o(5060),p=o(2039),a=o(2823),h=(r,i,d,g,m,_)=>(r-1)*i+d+(g-1)*m+1-_,f=(r,i,d,g,m)=>{const _=Math.floor(r/2);i==="SAME_UPPER"?(d[g]=_,d[m]=r-_):i==="SAME_LOWER"&&(d[g]=r-_,d[m]=_)};n.convTranspose=(r,i,d)=>(e(i,d),l(r,i,d));const l=(r,i,d)=>{const g=t(d,i);return[s(r,i,g)]},s=(r,i,d)=>r.run(((g,m,_)=>{const y=(w=m.length>2,v=_.cacheKey,{name:"ConvTranspose",inputNames:w?["X","W","B"]:["X","W"],inputTypes:w?[p.TextureType.unpacked,p.TextureType.unpacked,p.TextureType.unpacked]:[p.TextureType.unpacked,p.TextureType.unpacked],cacheHint:v});var w,v;return Object.assign(Object.assign({},y),{get:()=>((S,A,O,x)=>{const I=A.length>2?"getB(output_channel)":"0.0",N=A[0].dims,R=A[1].dims,L=R[1],F=R[0]/x.group,V=[A[0].dims[0],A[1].dims[1]*x.group,...x.outputShape],D=(0,c.getGlsl)(S.session.backend.glContext.version),{activationFunction:j,applyActivation:Q}=(0,a.getActivationSnippet)(x),X=` + const ivec2 strides = ivec2(${x.strides[0]}, ${x.strides[1]}); + const ivec2 pads = ivec2(${x.pads[0]}, ${x.pads[1]}); + ${j} + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + int output_channel = coords.y; + + ivec2 loc = coords.zw + pads; + + int group_id = output_channel / ${L}; + int wOutChannel = output_channel - group_id * ${L}; + + float value = ${I}; + for (int inChannelOffset = 0; inChannelOffset < ${F}; inChannelOffset++) { + int input_channel = group_id * ${F} + inChannelOffset; + for (int wWOff = 0; wWOff < ${R[2]}; wWOff++) { + for (int wHOff = 0; wHOff < ${R[3]}; wHOff++) { + ivec2 wOff = ivec2(wWOff * ${x.dilations[0]}, wHOff * ${x.dilations[1]}); + ivec2 wLoc = loc - wOff; + ivec2 wLocIn = wLoc / strides; + if ( + wLocIn * strides == wLoc && + wLocIn.x >= 0 && wLocIn.x < ${N[2]} && + wLocIn.y >= 0 && wLocIn.y < ${N[3]} + ) { + float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x); + float wVal = getW(input_channel, wOutChannel, wHOff, wWOff); + value += xVal * wVal; + } + } + } + } + ${Q} + ${D.output} = vec4(value, .0, .0, .0); + } +`;return Object.assign(Object.assign({},O),{output:{dims:V,type:A[0].type,textureType:p.TextureType.unpacked},shaderSource:X,hasMain:!0})})(g,m,y,_)})})(r,i,d),i),t=(r,i)=>{const d=r.kernelShape.slice();if(r.kernelShape.length===0)for(let y=2;y{const N=y.length-2,R=I.length===0;for(let L=0;L{const i=r.attributes,d=(0,a.parseInternalActivationAttributes)(i),g=i.getString("auto_pad","NOTSET"),m=i.getInts("dilations",[1,1]),_=i.getInt("group",1),y=i.getInts("kernel_shape",[]),w=i.getInts("output_padding",[0,0]),v=i.getInts("output_shape",[]),S=i.getInts("pads",[0,0,0,0]),A=i.getInts("strides",[1,1]);return(0,u.createAttributeWithCacheKey)(Object.assign({autoPad:g,dilations:m,group:_,kernelShape:y,outputPadding:w,outputShape:v,pads:S,strides:A},d))};const e=(r,i)=>{if(!r||r.length!==2&&r.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(r[0].dims.length!==4||r[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");if(r[0].dims[1]!==r[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");const d=r[1].dims[1]*i.group;if(r.length===3&&(r[2].dims.length!==1||r[2].dims[0]!==d))throw new Error("invalid bias");const g=r[0].dims.length-2;if(i.dilations.length!==g)throw new Error(`dilations should be ${g}D`);if(i.strides.length!==g)throw new Error(`strides should be ${g}D`);if(i.pads.length!==2*g)throw new Error(`pads should be ${2*g}D`);if(i.outputPadding.length!==g)throw new Error(`output_padding should be ${g}D`);if(i.kernelShape.length!==0&&i.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape");if(i.outputShape.length!==0&&i.outputShape.length!==r[0].dims.length-2)throw new Error("invalid output shape");if(r[0].type!=="float32"||r[1].type!=="float32")throw new Error("ConvTranspose input(X,W) should be float tensor");if(r.length===3&&r[2].type!=="float32")throw new Error("ConvTranspose input(bias) should be float tensor")}},8138:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseConvAttributes=n.conv=n.calculateOutputShape=void 0;const u=o(246),c=o(2517),p=o(4770),a=o(1386),h=o(9828),f=o(2823),l=o(3248),s=o(5623);n.calculateOutputShape=(g,m,_,y,w)=>{const v=g[0],S=g.slice(2),A=S.length,O=m[0],x=m.slice(2).map((N,R)=>N+(N-1)*(_[R]-1)),I=S.map((N,R)=>N+y[R]+y[R+A]).map((N,R)=>Math.floor((N-x[R]+w[R])/w[R]));return[v,O].concat(...I)},n.conv=(g,m,_)=>(d(m,_),t(g,m,_));const t=(g,m,_)=>{const y=i(_,m),w=g.session.pack,v=y.kernelShape[0]===1&&y.kernelShape[1]===1;return y.group>1?[g.run((0,p.createUnpackedGroupedConvProgramInfoLoader)(g,m,y),m)]:v&&w?[e(g,m,y)]:w&&m[0].dims.length===4&&m[0].dims[0]===1&&!v?[(0,a.conv2DPacked)(g,m,y)]:[r(g,m,y)]},e=(g,m,_)=>{const y=m[0].dims,w=m[1].dims,v=(0,n.calculateOutputShape)(y,w,_.dilations,_.pads,_.strides),S=g.reshapeUnpacked(m[0],[y[1],y[2]*y[3]]),A=g.reshapeUnpacked(m[1],[w[0],w[1]]),O=m.length>2?[A,S,m[2]]:[A,S],x=g.run((0,s.createMatmulProgramInfoLoader)(O,_),O);return g.reshapeUnpacked(x,v)},r=(g,m,_)=>{const y=m[0].dims,w=m[1].dims,v=(0,n.calculateOutputShape)(y,w,_.dilations,_.pads,_.strides),S=g.run((0,l.createIm2ColProgramInfoLoader)(g,m[0],m[1],v,_),[m[0]]),A=m.length===3?[S,m[1],m[2]]:[S,m[1]];return g.run((0,h.createDotProductProgramInfoLoader)(g,m,v,_),A)},i=(g,m)=>{const _=g.kernelShape.slice();if(g.kernelShape.length===0)for(let v=2;v{const m=g.attributes,_=(0,f.parseInternalActivationAttributes)(m),y=m.getString("auto_pad","NOTSET"),w=m.getInts("dilations",[1,1]),v=m.getInt("group",1),S=m.getInts("kernel_shape",[]),A=m.getInts("pads",[0,0,0,0]),O=m.getInts("strides",[1,1]);return(0,u.createAttributeWithCacheKey)(Object.assign({autoPad:y,dilations:w,group:v,kernelShape:S,pads:A,strides:O},_))};const d=(g,m)=>{if(!g||g.length!==2&&g.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(g[0].dims.length!==4||g[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");if(g[0].dims[1]!==g[1].dims[1]*m.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(g.length===3&&(g[2].dims.length!==1||g[1].dims[0]!==g[2].dims[0]))throw new Error("invalid bias");const _=g[0].dims.length-2;if(m.dilations.length!==_)throw new Error(`dilations should be ${_}D`);if(m.strides.length!==_)throw new Error(`strides should be ${_}D`);if(m.pads.length!==2*_)throw new Error(`pads should be ${2*_}D`);if(m.kernelShape.length!==0&&m.kernelShape.length!==g[1].dims.length-2)throw new Error("invalid kernel shape");if(g[0].type!=="float32"||g[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(g.length===3&&g[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}},5193:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseDepthToSpaceAttributes=n.depthToSpace=void 0;const u=o(3738);n.depthToSpace=(p,a,h)=>{c(a);const f=h.blocksize,l=f*f,s=h.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],t=h.mode==="DCR"?[a[0].dims[0],f,f,a[0].dims[1]/l,a[0].dims[2],a[0].dims[3]]:[a[0].dims[0],a[0].dims[1]/l,f,f,a[0].dims[2],a[0].dims[3]],e=p.reshapeUnpacked(a[0],t),r={perm:s,cacheKey:`${s}`},[i]=(0,u.transpose)(p,[e],r),d=[a[0].dims[0],a[0].dims[1]/l,a[0].dims[2]*f,a[0].dims[3]*f];return[p.reshapeUnpacked(i,d)]},n.parseDepthToSpaceAttributes=p=>{const a=p.attributes.getInt("blocksize");if(a<1)throw new Error(`blocksize must be >= 1, but got : ${a} for DepthToSpace`);const h=p.attributes.getString("mode","DCR");if(h!=="DCR"&&h!=="CRD")throw new Error(`unrecognized mode: ${h} for DepthToSpace`);return{mode:h,blocksize:a}};const c=p=>{if(p.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${p.length}`);if(p[0].type==="string"||p[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}},9828:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.createDotProductProgramInfoLoader=void 0;const u=o(2517),c=o(5060),p=o(2039),a=o(2823),h=o(3248);n.createDotProductProgramInfoLoader=(f,l,s,t)=>{const e=((r,i)=>({name:"ConvDotProduct",inputNames:r?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:r?[p.TextureType.unpacked,p.TextureType.packedLastDimension,p.TextureType.unpacked]:[p.TextureType.unpacked,p.TextureType.packedLastDimension],cacheKey:i.activationCacheKey}))(l.length>2,t);return Object.assign(Object.assign({},e),{get:()=>((r,i,d,g,m)=>{const _=d[0].dims,y=d[1].dims,w=[y[0],Math.ceil(_[1]*y[2]*y[3]/4)],v=(0,h.calculateIm2ColDims)(_,y,g),[S,A]=r.calculateTextureWidthAndHeight(w,p.TextureType.packedLastDimension),O=u.ShapeUtil.computeStrides(v),[x,I]=r.calculateTextureWidthAndHeight(v,p.TextureType.packedLastDimension),N=g.length,R=d.length<3?"0.0":"_B(b)",L=Math.ceil(_[1]*y[2]*y[3]/4),{activationFunction:F,applyActivation:V}=(0,a.getActivationSnippet)(m),D=(0,c.getGlsl)(r.session.backend.glContext.version),j=` +${F} +float process(int indices[${N}]) { + int b[1]; + b[0] = indices[1]; + int im2col[4]; + im2col[0] = indices[0]; + im2col[1] = indices[2]; + im2col[2] = indices[3]; + int im2colOffset = im2col[0] * ${O[0]} + im2col[1] * ${O[1]} + im2col[2] * ${O[2]}; + int kernelOffset = indices[1] * ${w[1]}; + float value = ${R}; + for (int i = 0; i < ${L}; ++i) { + vec2 im2colCoords = offsetToCoords(im2colOffset, ${x}, ${I}); + vec2 kernelCoords = offsetToCoords(kernelOffset, ${S}, ${A}); + value += dot(${D.texture2D}(Im2Col, im2colCoords), ${D.texture2D}(K, kernelCoords)); + ++im2colOffset; + ++kernelOffset; + } + ${V} + return value; +}`;return Object.assign(Object.assign({},i),{output:{dims:g,type:d[0].type,textureType:p.TextureType.unpacked},shaderSource:j})})(f,e,l,s,t)})}},7992:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseFlattenAttributes=n.flatten=void 0;const u=o(2517);n.flatten=(p,a,h)=>{c(a,h);const f=u.ShapeUtil.flattenShape(a[0].dims,h);return[p.reshapeUnpacked(a[0],f)]},n.parseFlattenAttributes=p=>p.attributes.getInt("axis",1);const c=(p,a)=>{if(!p||p.length!==1)throw new Error("Flatten requires 1 input.");const h=p[0].dims.length;if(h===0)throw new Error("scalar tensor is not supported.");if(a<-h||a>h)throw new Error("Invalid axis");if(p[0].type==="string")throw new Error("string tensor is not supported.")}},2823:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseInternalActivationAttributes=n.getActivationSnippet=void 0;const u=o(2517),c=o(4909);n.getActivationSnippet=function(p){let a;switch(p.activation){case"Relu":a=(0,c.glslRelu)();break;case"Sigmoid":a=(0,c.glslSigmoid)();break;case"Clip":a=(0,c.glslClip)(p.clipMin,p.clipMax);break;default:return{activationFunction:"",applyActivation:""}}const h=a.name;return{activationFunction:a.body,applyActivation:`value = ${h}_(value);`}},n.parseInternalActivationAttributes=p=>{const a=p.getString("activation","");if(a==="Clip"){const[h,f]=p.getFloats("activation_params",[u.MIN_CLIP,u.MAX_CLIP]);return{activation:a,clipMax:f,clipMin:h,activationCacheKey:`${a}:${h},${f}`}}return{activation:a,activationCacheKey:a}}},1253:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseGatherAttributes=n.gather=void 0;const u=o(246),c=o(782),p=o(2517),a=o(2039);n.gather=(s,t,e)=>(l(t,e.axis),[s.run(f(s,t,e),t)]),n.parseGatherAttributes=s=>(0,u.createAttributeWithCacheKey)({axis:s.attributes.getInt("axis",0)});const h={name:"Gather",inputNames:["A","B"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},f=(s,t,e)=>{const r=Object.assign(Object.assign({},h),{cacheHint:e.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((i,d,g,m)=>{const _=g[0].dims.slice(),y=g[1].dims.slice(),w=new Array(_.length+y.length-1);m=p.ShapeUtil.normalizeAxis(m,_.length);const v=[];for(let A=0;A{if(!s||s.length!==2)throw new Error("Gather requires 2 inputs.");const e=s[0].dims.length;if(e<1)throw new Error("Invalid input shape.");if(t<-e||t>e-1)throw new Error("Invalid axis.");if(c.NUMBER_TYPES.indexOf(s[0].type)===-1)throw new Error("Invaid input type.");if(s[1].type!=="int32"&&s[1].type!=="int16")throw new Error("Invaid input type.")}},4776:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseGemmAttributesV11=n.parseGemmAttributesV7=n.gemm=void 0;const u=o(246),c=o(2517),p=o(2039);n.gemm=(s,t,e)=>(l(t,e),[s.run(h(t,e),t)]);const a=(s,t)=>{const e=s.attributes.getInt("transA",0)!==0,r=s.attributes.getInt("transB",0)!==0,i=s.attributes.getFloat("alpha",1),d=s.attributes.getFloat("beta",1);return(0,u.createAttributeWithCacheKey)({transA:e,transB:r,alpha:i,beta:d,isOptionalC:t})};n.parseGemmAttributesV7=s=>a(s,!1),n.parseGemmAttributesV11=s=>a(s,!0);const h=(s,t)=>{const e={name:"Gemm",inputNames:s.length===3?["A","B","C"]:["A","B"],inputTypes:s.length===3?[p.TextureType.unpacked,p.TextureType.unpacked,p.TextureType.unpacked]:[p.TextureType.unpacked,p.TextureType.unpacked],key:t.cacheKey};return Object.assign(Object.assign({},e),{get:()=>f(e,s,t)})},f=(s,t,e)=>{const r=t[0].dims.slice(),i=t[1].dims.slice(),[d,g]=c.GemmUtil.getShapeOfGemmResult(r,e.transA,i,e.transB,t.length===3?t[2].dims:void 0),m=[d,g];if(!m)throw new Error("Can't use gemm on the given tensors");let _=r[r.length-1],y="";e.transA&&(_=r[0]),e.transA&&e.transB?y="value += _A_T(a) * _B_T(b);":e.transA&&!e.transB?y="value += _A_T(a) * _B(b);":!e.transA&&e.transB?y="value += _A(a) * _B_T(b);":e.transA||e.transB||(y="value += _A(a) * _B(b);");const w=m.length,v=` + float process(int indices[${w}]) { + int a[${w}]; + int b[${w}]; + ${t.length===3?`int c[${t[2].dims.length}];`:""} + + copyVec(indices, a); + copyVec(indices, b); + ${t.length===3?"bcastIndices_C(indices, c);":""} + + float value = 0.0; + for (int k=0; k<${_}; ++k) { + a[${w-1}] = k; + b[${w-2}] = k; + ${y} + } + + value = value * alpha; + ${t.length===3?"value += beta * _C(c);":""} + return value; + }`;return Object.assign(Object.assign({},s),{output:{dims:m,type:t[0].type,textureType:p.TextureType.unpacked},variables:[{name:"alpha",type:"float",data:e.alpha},{name:"beta",type:"float",data:e.beta}],shaderSource:v})},l=(s,t)=>{if(!s)throw new Error("Input is missing");if(t.isOptionalC&&(s.length<2||s.length>3))throw new Error("Invaid input shape.");if(!t.isOptionalC&&s.length!==3)throw new Error("Gemm requires 3 inputs");if(s.length===3&&s[2].dims.length!==1&&s[2].dims.length!==2)throw new Error("Invalid input shape of C");if(s[0].type!=="float32"&&s[0].type!=="float64"||s[1].type!=="float32"&&s[1].type!=="float64"||s.length===3&&s[2].type!=="float32"&&s[2].type!=="float64")throw new Error("Invalid input type.");if(s[0].type!==s[1].type||s.length===3&&s[0].type!==s[2].type)throw new Error("Input types are mismatched")}},8555:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.createPackedIm2ColProgramInfoLoader=void 0;const u=o(5060),c=o(2039),p=o(2827);n.createPackedIm2ColProgramInfoLoader=(a,h,f,l,s)=>{const t=(e=s.cacheKey,{name:"Im2Col (packed)",inputNames:["A"],inputTypes:[c.TextureType.packed],cacheHint:e});var e;return Object.assign(Object.assign({},t),{get:()=>((r,i,d,g,m,_)=>{const y=d.dims,w=g.dims,v=m.length,S=[w[1]*w[2]*w[3],m[2]*m[3]],A=w[2]*w[3],O=(0,p.unpackFromChannel)(),x=(0,u.getGlsl)(r.session.backend.glContext.version);let I="";for(let R=0;R<=1;R++)for(let L=0;L<=1;L++)I+=` + blockIndex = rc.x + ${L}; + pos = rc.y + ${R}; + + if(blockIndex < ${S[1]} && pos < ${S[0]}) { + offsetY = int(blockIndex / (${m[v-1]})) * ${_.strides[0]} - + ${_.pads[0]}; + d0 = offsetY + ${_.dilations[0]} * (imod(pos, ${A}) / ${w[2]}); + + if(d0 < ${y[2]} && d0 >= 0) { + offsetX = imod(blockIndex, ${m[v-1]}) * ${_.strides[1]} - + ${_.pads[1]}; + d1 = offsetX + ${_.dilations[1]} * imod(imod(pos, ${A}), ${w[2]}); + + if(d1 < ${y[3]} && d1 >= 0) { + + ch = int(float(pos)/ ${A}.); + innerDims = vec2(d0, d1); + result[${2*R+L}] = getChannel( + getA(0, ch, int(innerDims.x), + int(innerDims.y)), innerDims); + } + } + } + + `;const N=` + ${O} + + void main() { + ivec2 rc = getOutputCoords(); + vec4 result = vec4(0.0); + int blockIndex, pos, offsetY, d0, offsetX, d1, ch; + vec2 innerDims; + ${I} + ${x.output} = result; + } + `;return Object.assign(Object.assign({},i),{output:{dims:S,type:d.type,textureType:c.TextureType.packed},shaderSource:N,hasMain:!0})})(a,t,h,f,l,s)})}},3248:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.calculateIm2ColDims=n.createIm2ColProgramInfoLoader=void 0;const u=o(2039);n.createIm2ColProgramInfoLoader=(c,p,a,h,f)=>{const l=(s=f.cacheKey,{name:"Im2Col",inputNames:["X"],inputTypes:[u.TextureType.unpacked],cacheHint:s});var s;return Object.assign(Object.assign({},l),{get:()=>((t,e,r,i,d,g)=>{const m=r.dims,_=i.dims,y=d.length,w=(0,n.calculateIm2ColDims)(m,_,d,4),v=` + const int XC = ${m[1]}; + const int XH = ${m[2]}; + const int XW = ${m[3]}; + const int KH = ${g.kernelShape[0]}; + const int KW = ${g.kernelShape[1]}; + const int dilationH = ${g.dilations[0]}; + const int dilationW = ${g.dilations[1]}; + const int strideH = ${g.strides[0]}; + const int strideW = ${g.strides[1]}; + const int padH = ${g.pads[0]}; + const int padW = ${g.pads[1]}; + const int KHKW = KH*KW; + const int XCKHKW = XC * KHKW; + const int outputChannels = 4; + vec4 process(int indices[${y}]) { + int b = indices[0]; // batch size + int oh = indices[1] * strideH - padH; //output height + int ow = indices[2] * strideW - padW; //output width + int p = indices[3] * outputChannels; //patch + vec4 value = vec4(0.0); + for(int i=0; i < outputChannels; ++i) { + if(p < XCKHKW) { + int patchC = p / KHKW; + int patchH = (p - patchC*KHKW) / KW; + int patchW = (p - patchC*KHKW) - patchH * KW; + int xh2 = oh + patchH * dilationH; + int xw2 = ow + patchW * dilationW; + int x[${m.length}]; + x[0] = b; + x[1] = patchC; + x[2] = xh2; + x[3] = xw2; + if(xh2 >= 0 && + xh2 < XH && + xw2 >= 0 && + xw2 < XW) { + value[i] = _X(x); + } + } + ++p; + } + return value; + } + `;return Object.assign(Object.assign({},e),{output:{dims:w,type:r.type,textureType:u.TextureType.packedLastDimension},shaderSource:v})})(0,l,p,a,h,f)})},n.calculateIm2ColDims=(c,p,a,h=4)=>[a[0],a[2],a[3],Math.ceil(c[1]*p[2]*p[3]/h)]},6572:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseImageScalerAttributes=n.imageScaler=void 0;const u=o(246),c=o(2039);n.imageScaler=(l,s,t)=>(f(s),[l.run(a(l,s,t),s)]),n.parseImageScalerAttributes=l=>{const s=l.attributes.getFloat("scale"),t=l.attributes.getFloats("bias");return(0,u.createAttributeWithCacheKey)({scale:s,bias:t})};const p={name:"ImageScaler",inputNames:["X"],inputTypes:[c.TextureType.unpacked]},a=(l,s,t)=>{const e=Object.assign(Object.assign({},p),{cacheHint:t.cacheKey});return Object.assign(Object.assign({},e),{get:()=>((r,i,d,g)=>{const m=d[0].dims.slice(),_=m.length,y=` + ${h(g.bias.length)} + float process(int indices[${_}]) { + return _X(indices) * scale + getBias(bias, indices[1]); + }`;return Object.assign(Object.assign({},i),{output:{dims:m,type:d[0].type,textureType:c.TextureType.unpacked},variables:[{name:"bias",type:"float",arrayLength:g.bias.length,data:g.bias},{name:"scale",type:"float",data:g.scale}],shaderSource:y})})(0,e,s,t)})},h=l=>{const s=[`float getBias(float bias[${l}], int channel) {`];for(let t=0;t{if(!l||l.length!==1)throw new Error("ImageScaler requires 1 input.");if(l[0].dims.length!==4)throw new Error("Invalid input shape.");if(l[0].type!=="float32"&&l[0].type!=="float64")throw new Error("Invalid input type.")}},3346:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseInstanceNormalizationAttributes=n.instanceNormalization=void 0;const u=o(5060),c=o(2039);n.instanceNormalization=(s,t,e)=>{l(t);const r=s.run(a(t[0]),t);return[s.run(f(s,t[0],e,r.dims),[t[0],r,t[1],t[2]])]},n.parseInstanceNormalizationAttributes=s=>s.attributes.getFloat("epsilon",1e-5);const p={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[c.TextureType.unpacked]},a=s=>Object.assign(Object.assign({},p),{get:()=>((t,e)=>{const r=e.dims.slice(),i=r[1],d=r[2]*r[3],g=[r[0],i],m=` + vec4 process(int[2] indices) { + vec4 v = vec4(0.0); + int a[4]; + a[0] = indices[0]; + a[1] = indices[1]; + float temp = 0.0; + for(int a2=0; a2<${r[2]}; a2++) { + a[2] = a2; + for(int a3=0; a3<${r[3]}; a3++) { + a[3] = a3; + float x = _X(a); + temp += x; + } + } + float mean = temp / float(${d}); + temp = 0.0; + for(int a2=0; a2<${r[2]}; a2++) { + a[2] = a2; + for(int a3=0; a3<${r[3]}; a3++) { + a[3] = a3; + float x = _X(a); + temp += (x - mean) * (x - mean); + } + } + v.r = mean; + v.g = temp / float(${d}); + + return v; + }`;return Object.assign(Object.assign({},t),{output:{dims:g,type:e.type,textureType:c.TextureType.packedLastDimension},shaderSource:m})})(p,s)}),h={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[c.TextureType.unpacked,c.TextureType.packedLastDimension,c.TextureType.unpacked,c.TextureType.unpacked]},f=(s,t,e,r)=>{const i=Object.assign(Object.assign({},h),{cacheHint:`${e}`});return Object.assign(Object.assign({},i),{get:()=>((d,g,m,_,y)=>{const w=(0,u.getGlsl)(d.session.backend.glContext.version),[v,S]=d.calculateTextureWidthAndHeight(y,c.TextureType.packedLastDimension),[A,O]=[v/4,S],x=` + vec4 get_MeanAndVariance(int[2] mv) { + int offset = indicesToOffset_MeanAndVariance(mv); + vec2 coords = offsetToCoords(offset, ${A}, ${O}); + return ${w.texture2D}(MeanAndVariance, coords); + } + + float process(int[4] indices) { + int mv[2]; + mv[0] = indices[0]; + mv[1] = indices[1]; + vec4 mean_and_variance = get_MeanAndVariance(mv); + float mean = mean_and_variance.r; + float variance = mean_and_variance.g; + + int sb[1]; + sb[0] = indices[1]; + float scale = _Scale(sb); + float b = _B(sb); + + return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b; + }`;return Object.assign(Object.assign({},g),{output:{dims:m.dims,type:m.type,textureType:c.TextureType.unpacked},variables:[{name:"epsilon",type:"float",data:_}],shaderSource:x})})(s,i,t,e,r)})},l=s=>{if(!s||s.length!==3)throw new Error("InstanceNormalization requires 3 inputs.");const t=s[0],e=s[1],r=s[2];if(t.dims.length<3||e.dims.length!==1||r.dims.length!==1)throw new Error("Invalid input shape.");if(e.dims[0]!==t.dims[1]||r.dims[0]!==t.dims[1])throw new Error("Input shapes are mismatched.");if(t.type!=="float32"&&t.type!=="float64"||e.type!=="float32"&&e.type!=="float64"||r.type!=="float32"&&r.type!=="float64")throw new Error("Invalid input type.");if(s[0].dims.length!==4)throw new Error("Only support 4-D input shape.")}},708:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.createPackedMatmulProgramInfoLoader=void 0;const u=o(2517),c=o(5060),p=o(2039),a=o(9390),h=o(2823),f=o(5623);n.createPackedMatmulProgramInfoLoader=(l,s,t)=>{const e=(r=s.length>2,i=t.activationCacheKey,{name:"MatMul (packed)",inputNames:r?["A","B","Bias"]:["A","B"],inputTypes:r?[p.TextureType.packed,p.TextureType.packed,p.TextureType.packed]:[p.TextureType.packed,p.TextureType.packed],cacheHint:i});var r,i;return Object.assign(Object.assign({},e),{get:()=>((d,g,m,_)=>{const y=m.length>2,w=y?"value += getBiasForMatmul();":"",v=m[0].dims,S=m[1].dims,A=u.BroadcastUtil.calcShape(v,S,!0),O=!u.ShapeUtil.areEqual(m[0].dims,m[1].dims);if(!A)throw new Error("Can't use matmul on the given tensors");const x=v[v.length-1],I=Math.ceil(x/2),N=v.length,R=S.length,L=(0,c.getGlsl)(d.session.backend.glContext.version),F=(0,a.getCoordsDataType)(A.length),V=A.length,D=(0,a.getGlChannels)(),{activationFunction:j,applyActivation:Q}=(0,h.getActivationSnippet)(_),X=y?`${(0,f.getBiasForMatmul)(F,D,m[2].dims,A,!0)}`:"",J=O?`${function(xe,oe,ye,be){let ke=[],$e=[];const Te=ye[0].dims,Ne=ye[1].dims,Ce=Te.length,Ee=Ne.length,Oe=be.length,Be=Oe-Ce,Ve=Oe-Ee;ke=Te.map((Ie,je)=>`coords.${oe[je+Be]}`),ke[Ce-1]="i*2",ke.join(", "),$e=Ne.map((Ie,je)=>`coords.${oe[je+Ve]}`),$e[Ee-2]="i*2",$e.join(", ");const Ge=u.BroadcastUtil.getBroadcastDims(Te,be),Xe=u.BroadcastUtil.getBroadcastDims(Ne,be),Qe=Ge.map(Ie=>`coords.${oe[Ie+Be]} = 0;`).join(` +`),qe=Xe.map(Ie=>`coords.${oe[Ie+Ve]} = 0;`).join(` +`),Ue=`int lastDim = coords.${oe[Oe-1]}; + coords.${oe[Oe-1]} = coords.${oe[Oe-2]}; + coords.${oe[Oe-2]} = lastDim;`;return` +vec4 getAAtOutCoordsMatmul(int i) { + ${xe} coords = getOutputCoords(); + ${Ue} + ${Qe} + vec4 outputValue = getA(${ke}); + return outputValue; +} + +vec4 getBAtOutCoordsMatmul(int i) { + ${xe} coords = getOutputCoords(); + ${Ue} + ${qe} + vec4 outputValue = getB(${$e}); + return outputValue; +}`}(F,D,m,A)}`:"",ee=O?"getAAtOutCoordsMatmul(i)":`getA(${function(xe,oe){let ye="";for(let be=0;be{Object.defineProperty(n,"__esModule",{value:!0}),n.getBiasForMatmul=n.createMatmulProgramInfoLoader=n.parseMatMulAttributes=n.matMul=void 0;const u=o(2517),c=o(2039),p=o(9390),a=o(2823),h=o(708);function f(t,e){const r=(i=t.length>2,d=e.activationCacheKey,{name:"MatMul",inputNames:i?["A","B","Bias"]:["A","B"],inputTypes:i?[c.TextureType.unpacked,c.TextureType.unpacked,c.TextureType.unpacked]:[c.TextureType.unpacked,c.TextureType.unpacked],cacheHint:d});var i,d;return Object.assign(Object.assign({},r),{get:()=>function(g,m,_){const y=m[0].dims,w=m[1].dims,v=u.BroadcastUtil.calcShape(y,w,!0);if(!v)throw new Error("Can't use matmul on the given tensors");const S=(0,p.getCoordsDataType)(v.length),A=(0,p.getGlChannels)(),{activationFunction:O,applyActivation:x}=(0,a.getActivationSnippet)(_),I=m.length>2,N=I?"value += getBiasForMatmul();":"",R=I?`${s(S,A,m[2].dims,v,!1)}`:"",L=v.length,F=y.length,V=w.length,D=` + ${O} + ${R} + float process(int indices[${L}]) { + int a[${F}]; + int b[${V}]; + bcastMatmulIndices_A(indices, a); + bcastMatmulIndices_B(indices, b); + + float value; + for (int k=0; k<${y[y.length-1]}; ++k) { + a[${F-1}] = k; + b[${V-2}] = k; + value += _A(a) * _B(b); + } + ${N} + ${x} + return value; + }`;return Object.assign(Object.assign({},g),{output:{dims:v,type:m[0].type,textureType:c.TextureType.unpacked},shaderSource:D})}(r,t,e)})}n.matMul=(t,e,r)=>(l(e),t.session.pack?[t.run((0,h.createPackedMatmulProgramInfoLoader)(t,e,r),e)]:[t.run(f(e,r),e)]),n.parseMatMulAttributes=t=>(0,a.parseInternalActivationAttributes)(t.attributes),n.createMatmulProgramInfoLoader=f;const l=t=>{if(!t||t.length!==2)throw new Error("MatMul requires 2 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+}`}n.getBiasForMatmul=s},2403:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.createPackProgramInfoLoader=void 0;const u=o(5060),c=o(2039),p=o(9390),a=o(2827),h={name:"pack",inputNames:["A"],inputTypes:[c.TextureType.unpackedReversed]};n.createPackProgramInfoLoader=(f,l)=>Object.assign(Object.assign({},h),{get:()=>((s,t)=>{const e=(0,u.getGlsl)(s.session.backend.glContext.version),r=t.dims,i=r.length,d=t.dims.length,g=(0,p.getCoordsDataType)(d),m=(0,a.getChannels)("rc",d),_=(y=d,w=m,v=r[r.length-2],S=r[r.length-1],y===0||y===1?"":` + int r = ${w[y-2]}; + int c = ${w[y-1]}; + int rp1 = ${w[y-2]} + 1; + int cp1 = ${w[y-1]} + 1; + bool rEdge = rp1 >= ${S}; + bool cEdge = cp1 >= ${v}; + `);var y,w,v,S;let A;A=i===0?[1,1]:i===1?[r[0],1]:[r[d-1],r[d-2]];const O=function(N,R,L){if(N===0)return"false";if(N===1)return`rc > ${R[0]}`;let F="";for(let V=N-2;V= ${R[V-N+2]}`,V= ${N[0]} ? 0. : getA(rc + 1), + 0, 0`;let F="";if(L>2)for(let V=0;V{Object.defineProperty(n,"__esModule",{value:!0}),n.unpackFromChannel=n.getChannels=n.getVecChannels=void 0;const u=o(9390);function c(p,a){return(0,u.getGlChannels)(a).map(h=>`${p}.${h}`)}n.getVecChannels=c,n.getChannels=function(p,a){return a===1?[p]:c(p,a)},n.unpackFromChannel=function(){return` + float getChannel(vec4 frag, int dim) { + int modCoord = imod(dim, 2); + return modCoord == 0 ? frag.r : frag.g; + } + + float getChannel(vec4 frag, vec2 innerDims) { + vec2 modCoord = mod(innerDims, 2.); + return modCoord.x == 0. ? + (modCoord.y == 0. ? frag.r : frag.g) : + (modCoord.y == 0. ? frag.b : frag.a); + } + `}},2870:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parsePadAttributesV11=n.padV11=n.parsePadAttributesV2=n.padV2=void 0;const u=o(246),c=o(2517),p=o(5060),a=o(2039),h={name:"Pad",inputNames:["A"],inputTypes:[a.TextureType.unpacked]};n.padV2=(g,m,_)=>(s(m),[g.run(Object.assign(Object.assign({},h),{cacheHint:_.cacheKey,get:()=>l(g,m[0],_)}),m)]),n.parsePadAttributesV2=g=>{const m=g.attributes.getString("mode","constant"),_=g.attributes.getFloat("value",0),y=g.attributes.getInts("pads");return(0,u.createAttributeWithCacheKey)({mode:m,value:_,pads:y})},n.padV11=(g,m,_)=>{t(m);const y=f(g,m,_);return(0,n.padV2)(g,[m[0]],y)},n.parsePadAttributesV11=g=>g.attributes.getString("mode","constant");const f=(g,m,_)=>{if(!g.session.isInitializer(m[1].dataId)||m.length>=3&&!g.session.isInitializer(m[2].dataId))throw new Error("dynamic pad attributes are not allowed");const y=Array.from(m[1].integerData),w=m.length>=3?m[2].floatData[0]:0;return(0,u.createAttributeWithCacheKey)({mode:_,pads:y,value:w})},l=(g,m,_)=>{const y=c.ShapeUtil.padShape(m.dims.slice(),_.pads),w=y.length,v=` + ${e(g,m,_)} + float process(int[${w}] indices) { + return padA(indices); + }`;return{name:"Pad",inputNames:["A"],inputTypes:[a.TextureType.unpacked],output:{dims:y,type:m.type,textureType:a.TextureType.unpacked},shaderSource:v}},s=g=>{if(!g||g.length!==1)throw new Error("Pad requires 1 input");if(g[0].type!=="float32"&&g[0].type!=="float64")throw new Error("Invalid input type.")},t=g=>{if(!g||g.length!==2&&g.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(g[1].type!=="int32")throw new Error("Invalid input type.");if(g.length>=3&&g[2].type==="string")throw new Error("Invalid input type.")},e=(g,m,_)=>{const y=(0,p.getGlsl)(g.session.backend.glContext.version),[w,v]=g.calculateTextureWidthAndHeight(m.dims,a.TextureType.unpacked),S=c.ShapeUtil.computeStrides(m.dims);switch(_.mode){case"constant":return r(y,m.dims,S,w,v,_.pads,_.value);case"reflect":return i(y,m.dims,S,w,v,_.pads);case"edge":return d(y,m.dims,S,w,v,_.pads);default:throw new Error("Invalid mode")}},r=(g,m,_,y,w,v,S)=>{const A=m.length;let O="";for(let x=A-1;x>=0;--x)O+=` + k = m[${x}] - ${v[x]}; + if (k < 0) return constant; + if (k >= ${m[x]}) return constant; + offset += k * ${_[x]}; + `;return` + float padA(int m[${A}]) { + const float constant = float(${S}); + int offset = 0; + int k = 0; + ${O} + vec2 coords = offsetToCoords(offset, ${y}, ${w}); + float value = getColorAsFloat(${g.texture2D}(A, coords)); + return value; + } + `},i=(g,m,_,y,w,v)=>{const S=m.length;let A="";for(let O=S-1;O>=0;--O)A+=` + k = m[${O}] - ${v[O]}; + if (k < 0) { k = -k; } + { + const int _2n_1 = ${2*(m[O]-1)}; + k = int( mod( float(k), float(_2n_1) ) ) ; + if(k >= ${m[O]}) { k = _2n_1 - k; } + } + offset += k * ${_[O]}; + `;return` + float padA(int m[${S}]) { + int offset = 0; + int k = 0; + ${A} + vec2 coords = offsetToCoords(offset, ${y}, ${w}); + float value = getColorAsFloat(${g.texture2D}(A, coords)); + return value; + } + `},d=(g,m,_,y,w,v)=>{const S=m.length;let A="";for(let O=S-1;O>=0;--O)A+=` + k = m[${O}] - ${v[O]}; + if (k < 0) k = 0; + if (k >= ${m[O]}) k = ${m[O]-1}; + offset += k * ${_[O]}; + `;return` + float padA(int m[${S}]) { + int offset = 0; + int k = 0; + ${A} + vec2 coords = offsetToCoords(offset, ${y}, ${w}); + float value = getColorAsFloat(${g.texture2D}(A, coords)); + return value; + } + `}},2143:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.globalMaxPool=n.parseMaxPoolAttributes=n.maxPool=n.parseGlobalAveragePoolAttributes=n.globalAveragePool=n.parseAveragePoolAttributes=n.averagePool=void 0;const u=o(246),c=o(2517),p=o(2039);n.averagePool=(d,g,m)=>{t(g);const _={name:"AveragePool",inputNames:["X"],inputTypes:[p.TextureType.unpacked],cacheHint:m.cacheKey};return[d.run(Object.assign(Object.assign({},_),{get:()=>a(g,_,!1,m)}),g)]},n.parseAveragePoolAttributes=d=>{const g=d.attributes.getString("auto_pad","NOTSET"),m=d.attributes.getInt("ceil_mode",0),_=d.attributes.getInt("count_include_pad",0)!==0,y=d.attributes.getInts("kernel_shape"),w=d.attributes.getInts("strides",[]),v=d.attributes.getInts("pads",[]);if(m!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return(0,u.createAttributeWithCacheKey)({autoPad:g,ceilMode:m,countIncludePad:_,kernelShape:y,strides:w,pads:v})};const a=(d,g,m,_)=>{const[y,w]=f(d,_,m),v=c.ShapeUtil.size(y.kernelShape);let S="";y.countIncludePad?S+=`value /= float(${v});`:S+=`value /= float(${v} - pad);`;const A=` + ${e(d[0].dims,y,"value += _X(x);",S,"0.0")} + `;return Object.assign(Object.assign({},g),{output:{dims:w,type:d[0].type,textureType:p.TextureType.unpacked},shaderSource:A})};n.globalAveragePool=(d,g,m)=>{t(g);const _={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[p.TextureType.unpacked],cacheHint:`${m.countIncludePad}`};return[d.run(Object.assign(Object.assign({},_),{get:()=>a(g,_,!0,m)}),g)]},n.parseGlobalAveragePoolAttributes=d=>{const g=d.attributes.getInt("count_include_pad",0)!==0;return(0,u.createAttributeWithCacheKey)({autoPad:"",ceilMode:0,countIncludePad:g,kernelShape:[],strides:[],pads:[]})},n.maxPool=(d,g,m)=>{t(g);const _={name:"MaxPool",inputNames:["X"],inputTypes:[p.TextureType.unpacked],cacheHint:m.cacheKey};return[d.run(Object.assign(Object.assign({},_),{get:()=>h(g,_,!1,m)}),g)]},n.parseMaxPoolAttributes=d=>{const g=d.attributes.getString("auto_pad","NOTSET"),m=d.attributes.getInt("ceil_mode",0),_=d.attributes.getInts("kernel_shape"),y=d.attributes.getInts("strides",[]),w=d.attributes.getInts("pads",[]),v=d.attributes.getInt("storage_order",0),S=d.attributes.getInts("dilations",[]);if(v!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(m!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return(0,u.createAttributeWithCacheKey)({autoPad:g,ceilMode:m,countIncludePad:!1,kernelShape:_,strides:y,pads:w,storageOrder:v,dilations:S})};const h=(d,g,m,_)=>{const[y,w]=f(d,_,m),v=` + ${e(d[0].dims,y,` + value = max(_X(x), value); + `,"","-1e5")} + `;return Object.assign(Object.assign({},g),{output:{dims:w,type:d[0].type,textureType:p.TextureType.unpacked},shaderSource:v})},f=(d,g,m)=>{const _=d[0].dims.slice(),y=Object.hasOwnProperty.call(g,"dilations"),w=g.kernelShape.slice(),v=g.strides.slice(),S=y?g.dilations.slice():[],A=g.pads.slice();c.PoolConvUtil.adjustPoolAttributes(m,_,w,v,S,A);const O=c.PoolConvUtil.computePoolOutputShape(m,_,v,S,w,A,g.autoPad),x=Object.assign({},g);return y?Object.assign(x,{kernelShape:w,strides:v,pads:A,dilations:S,cacheKey:g.cacheKey}):Object.assign(x,{kernelShape:w,strides:v,pads:A,cacheKey:g.cacheKey}),[x,O]},l={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},s={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[p.TextureType.unpacked]};n.globalMaxPool=(d,g)=>(t(g),[d.run(Object.assign(Object.assign({},s),{get:()=>h(g,s,!0,l)}),g)]);const t=d=>{if(!d||d.length!==1)throw new Error("Pool ops requires 1 input.");if(d[0].type!=="float32"&&d[0].type!=="float64")throw new Error("Invalid input type.")},e=(d,g,m,_,y)=>{const w=d.length;if(g.kernelShape.length<=2){const v=g.kernelShape[g.kernelShape.length-1],S=g.strides[g.strides.length-1],A=g.pads[g.pads.length/2-1],O=g.pads[g.pads.length-1],x=d[w-1];let I="",N="",R="";if(I=A+O!==0?` + for (int i = 0; i < ${v}; i++) { + x[${w} - 1] = indices[${w} - 1] * ${S} - ${A} + i; + if (x[${w} - 1] < 0 || x[${w} - 1] >= ${x}) { + pad++; + continue; + } + ${m} + }`:` + for (int i = 0; i < ${v}; i++) { + x[${w} - 1] = indices[${w} - 1] * ${S} - ${A} + i; + ${m} + }`,g.kernelShape.length===2){const L=g.kernelShape[g.kernelShape.length-2],F=g.strides[g.strides.length-2],V=g.pads[g.pads.length/2-2],D=g.pads[g.pads.length-2],j=d[w-2];N=V+D!==0?` + for (int j = 0; j < ${L}; j++) { + x[${w} - 2] = indices[${w} - 2] * ${F} - ${V} + j; + if (x[${w} - 2] < 0 || x[${w} - 2] >= ${j}) { + pad+= ${v}; + continue; + } + `:` + for (int j = 0; j < ${L}; j++) { + x[${w} - 2] = indices[${w} - 2] * ${F} - ${V} + j; + `,R=` + } + `}return` + float process(int indices[${w}]) { + int x[${w}]; + copyVec(indices, x); + + float value = ${y}; + int pad = 0; + ${N} + ${I} + ${R} + ${_} + return value; + } + `}{const v=c.ShapeUtil.size(g.kernelShape),S=c.ShapeUtil.computeStrides(g.kernelShape),A=S.length,O=g.pads.length,x=i(A),I=r(d,"inputDims"),N=r(g.pads,"pads"),R=r(S,"kernelStrides"),L=r(g.strides,"strides");let F="";return F=g.pads.reduce((V,D)=>V+D)?` + if (x[j] >= inputDims[j] || x[j] < 0) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + ${m} + }`:` + } + ${m} + `,` + ${x} + float process(int indices[${w}]) { + int x[${w}]; + copyVec(indices, x); + int offset[${A}]; + int pads[${O}]; + int inputDims[${w}]; + int kernelStrides[${A}]; + int strides[${A}]; + ${N} + ${I} + ${L} + ${R} + + float value = ${y}; + int pad = 0; + bool isPad = false; + for (int i = 0; i < ${v}; i++) { + offsetToIndices(i, kernelStrides, offset); + isPad = false; + for (int j = ${w} - ${A}; j < ${w}; j++) { + x[j] = indices[j] * strides[j - ${w} + ${A}] + + offset[j - ${w} + ${A}] - pads[j - 2]; + ${F} + } + ${_} + + return value; + } + `}},r=(d,g)=>{let m="";for(let _=0;_` + void offsetToIndices(int offset, int[${d}] strides, out int[${d}] indices) { + if (${d} == 0) { + return; + } + for (int i = 0; i < ${d} - 1; ++i) { + indices[i] = offset / strides[i]; + offset -= indices[i] * strides[i]; + } + indices[${d} - 1] = offset; + }`},4939:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.reduceLogSumSquare=n.reduceLogSum=n.reduceProd=n.reduceMin=n.reduceMax=n.reduceMean=n.reduceSum=n.parseReduceAttributes=void 0;const u=o(246),c=o(782),p=o(2517),a=o(2039),h=(s,t,e,r,i)=>{l(t);const d={name:r,inputNames:["A"],inputTypes:[a.TextureType.unpacked]};return[s.run(Object.assign(Object.assign({},d),{cacheHint:e.cacheKey,get:()=>f(s,t,e,r,i,d)}),t)]};n.parseReduceAttributes=s=>{const t=s.attributes.getInts("axes",[]),e=s.attributes.getInt("keepdims",1)===1;return(0,u.createAttributeWithCacheKey)({axes:t,keepDims:e})};const f=(s,t,e,r,i,d)=>{const g=[],m=t[0].dims.length||1,_=[],y=p.ShapeUtil.normalizeAxes(e.axes,t[0].dims.length),w=i(t,y);let v=w[1];for(let A=0;A=0||y.length===0?(e.keepDims&&g.push(1),v=` + for(int j${A} = 0; j${A} < ${t[0].dims[A]}; j${A}++) { + inputIdx[${A}] = j${A}; + ${v} + }`):(_.push(`inputIdx[${A}] = outputIdx[${g.length}];`),g.push(t[0].dims[A]));const S=` + float process(int outputIdx[${g.length||1}]) { + float value; // final result + int inputIdx[${m}]; // addressing input data + ${_.join(` +`)} + ${w[0]} // init ops for reduce max/min + ${v} + ${w[2]} // final computation for reduce mean + return value; + }`;return Object.assign(Object.assign({},d),{output:{dims:g,type:t[0].type,textureType:a.TextureType.unpacked},shaderSource:S})},l=s=>{if(!s||s.length!==1)throw new Error("Reduce op requires 1 input.");if(c.NUMBER_TYPES.indexOf(s[0].type)===-1)throw new Error("Invalid input type.")};n.reduceSum=(s,t,e)=>h(s,t,e,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),n.reduceMean=(s,t,e)=>h(s,t,e,"ReduceMean",(r,i)=>{let d=1;for(let g=0;g=0||i.length===0)&&(d*=r[0].dims[g]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${d}.;`]}),n.reduceMax=(s,t,e)=>h(s,t,e,"ReduceMax",(r,i)=>{const d=[];for(let g=0;g=0||i.length===0)&&d.push(`inputIdx[${g}] = 0;`);return[`${d.join(` +`)} +value = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]}),n.reduceMin=(s,t,e)=>h(s,t,e,"ReduceMin",(r,i)=>{const d=[];for(let g=0;g=0||i.length===0)&&d.push(`inputIdx[${g}] = 0;`);return[`${d.join(` +`)} +value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),n.reduceProd=(s,t,e)=>h(s,t,e,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),n.reduceLogSum=(s,t,e)=>h(s,t,e,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),n.reduceLogSumSquare=(s,t,e)=>h(s,t,e,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])},7019:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.isReshapeCheap=n.processDims3D=n.createPackedReshape3DProgramInfoLoader=void 0;const u=o(2517),c=o(5060),p=o(2039),a=o(2827);n.createPackedReshape3DProgramInfoLoader=(h,f,l)=>{const s=(t=>({name:"Reshape (packed)",inputTypes:[p.TextureType.packed],inputNames:["A"],cacheHint:`${t}`}))(l);return Object.assign(Object.assign({},s),{get:()=>((t,e,r,i)=>{const d=e.dims,g=i;let m="";for(let w=0;w<4;w++){let v="";switch(w){case 0:v="outputCoords = rc;";break;case 1:v="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:v="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:v="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}m+=` + ${v} + ${w>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""} + int flattenedIndex = getFlattenedIndex(outputCoords); + + ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex); + vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z)); + + result[${w}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims); + + ${w>0?"}":""} + `}const _=(0,c.getGlsl)(t.session.backend.glContext.version),y=` + ${function(w){const v=u.ShapeUtil.computeStrides(w),S=["b","r","c"],A="index";return` + ivec3 inputCoordsFromReshapedOutCoords(int index) { + ${v.map((O,x)=>`int ${S[x]} = ${A} / ${O}; ${x===v.length-1?`int ${S[x+1]} = ${A} - ${S[x]} * ${O}`:`index -= ${S[x]} * ${O}`};`).join("")} + return ivec3(b, r, c); + } + `}(d)} + ${function(w){const v=u.ShapeUtil.computeStrides(w);return` + int getFlattenedIndex(ivec3 coords) { + // reverse y, z order + return coords.x * ${v[0]} + coords.z * ${v[1]} + coords.y; + } +`}(g)} + ${(0,a.unpackFromChannel)()} + + void main() { + ivec3 rc = getOutputCoords(); + + vec4 result = vec4(0.0); + + ivec3 outputCoords; + int rows = ${g[2]}; + int cols = ${g[1]}; + + ${m} + ${_.output} = result; + } + `;return Object.assign(Object.assign({},r),{output:{dims:g,type:e.type,textureType:p.TextureType.packed},shaderSource:y,hasMain:!0})})(h,f,s,l)})},n.processDims3D=function(h){if(h.length===0)return[1,1,1];let f=1;for(let l=0;l1?h[h.length-2]:1,h[h.length-1]]},n.isReshapeCheap=function(h,f){let l=!1;return l=h.length===0||f.length===0||(h.length<2||f.length<2?h[h.length-1]===f[f.length-1]:h[h.length-1]===f[f.length-1]&&h[h.length-2]===f[f.length-2]),l}},718:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.reshape=void 0;const u=o(2517);n.reshape=(c,p)=>{const a=u.ShapeUtil.calculateReshapedDims(p[0].dims,p[1].integerData);return c.session.pack?[c.reshapePacked(p[0],a)]:[c.reshapeUnpacked(p[0],a)]}},2268:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseResizeAttributesV11=n.parseResizeAttributesV10=n.resize=void 0;const u=o(5060),c=o(2039),p=o(9390),a=o(2827),h=o(9793),f={name:"Resize",inputNames:["A"],inputTypes:[c.TextureType.packed]};n.resize=(r,i,d)=>((0,h.validateInputs)(i,d),[r.run(Object.assign(Object.assign({},f),{cacheHint:d.cacheKey,get:()=>l(r,i,d)}),i)]),n.parseResizeAttributesV10=r=>(0,h.parseUpsampleAttributes)(r,10),n.parseResizeAttributesV11=r=>(0,h.parseUpsampleAttributes)(r,11);const l=(r,i,d)=>{const g=(0,u.getGlsl)(r.session.backend.glContext.version),[m,_]=s(i,d);if(m.every(F=>F===1)&&d.coordinateTransformMode!=="tf_crop_and_resize")return Object.assign(Object.assign({},f),{output:{dims:_,type:i[0].type,textureType:c.TextureType.packed},hasMain:!0,shaderSource:`void main() { + vec4 v = ${g.texture2D}(X, TexCoords); + ${g.output} = v; + }`});const y=_.length;if(y<2)throw new Error(`output dimension should be at least 2, but got ${y}`);const w=_[y-2],v=_[y-1],S=i[0].dims;if(y!==S.length)throw new Error(`output dimension should match input ${S.length}, but got ${y}`);const A=S[y-2],O=S[y-1],x=m[y-2],I=m[y-1];let N="";if(d.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${d.mode}'`);switch(d.coordinateTransformMode){case"asymmetric":N=` + vec4 getSourceFracIndex(ivec4 coords) { + return vec4(coords) / scaleWHWH; + } + `;break;case"half_pixel":N=` + vec4 getSourceFracIndex(ivec4 coords) { + return (vec4(coords) + 0.5) / scaleWHWH - 0.5; + } + `;break;case"pytorch_half_pixel":N=` + vec4 getSourceFracIndex(ivec4 coords) { + vec4 fcoords = vec4(coords); + return vec4( + ${v}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0, + ${w}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0, + ${v}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0, + ${w}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0 + ); + } + `;break;case"align_corners":N=` + vec4 getSourceFracIndex(ivec4 coords) { + vec4 resized = vec4(${v}.0 - 1.0, ${w}.0 - 1.0, ${v}.0 - 1.0, + ${w}.0 - 1.0); + vec4 original = vec4(${O}.0 - 1.0, ${A}.0 - 1.0, ${O}.0 - 1.0, + ${A}.0 - 1.0); + vec4 new_scale = original / resized; + return vec4(coords) * new_scale; + } + `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode: '${d.coordinateTransformMode}'`)}const R=(0,p.getCoordsDataType)(y),L=` + const vec2 inputWH = vec2(${A}.0, ${O}.0); + const vec4 scaleWHWH = vec4(float(${x}), float(${I}), float(${x}), float(${I})); + ${(0,a.unpackFromChannel)()} + ${N} + float getAValue(int x10, int r, int c, int d) { + return getChannel(getA(x10, r, c, d), vec2(c, d)); + } + void main() { + ${R} rc = getOutputCoords(); + + int batch = rc[0]; + int depth = rc[1]; + + // retrieve the 4 coordinates that is used in the 4 packed output values. + ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1); + + // calculate the source index in fraction + vec4 sourceFrac = getSourceFracIndex(coords); + + // get the lower and upper bound of the 4 values that will be packed into one texel. + ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy))); + ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw))); + ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy))); + ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw))); + + bool hasNextRow = rc.w < ${w-1}; + bool hasNextCol = rc.z < ${v-1}; + + // pack x00, x01, x10, x11's top-left corner into one vec4 structure + vec4 topLeft = vec4( + getAValue(batch, depth, x00.x, x00.y), + hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0); + + // pack x00, x01, x10, x11's top-right corner into one vec4 structure + vec4 topRight = vec4( + getAValue(batch, depth, x00.x, x00.w), + hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0); + + // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure + vec4 bottomLeft = vec4( + getAValue(batch, depth, x00.z, x00.y), + hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0); + + // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure + vec4 bottomRight = vec4( + getAValue(batch, depth, x00.z, x00.w), + hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0); + + // calculate the interpolation fraction on u and v direction + vec4 frac = vec4(sourceFrac) - floor(sourceFrac); + vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0)); + + vec4 top = mix(topLeft, topRight, clampFrac.ywyw); + vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw); + vec4 newValue = mix(top, bottom, clampFrac.xxzz); + + ${g.output} = vec4(newValue); + } + `;return Object.assign(Object.assign({},f),{output:{dims:_,type:i[0].type,textureType:c.TextureType.packed},hasMain:!0,shaderSource:L})},s=(r,i)=>{const d=r[0].dims;let g,m=i.scales;if(m.length===0){const y=r[i.scalesInputIdx];if(y&&y.size!==0){if(r[i.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");m=t(y,i.mode,i.isResize)}else{const w=r[i.sizesInputIdx];if(!w||w.size===0)throw new Error("Either scales or sizes MUST be provided as input.");g=Array.from(w.integerData),m=e(g,d,i.mode,i.isResize)}}else if(r[i.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");const _=g||d.map((y,w)=>Math.floor(y*m[w]));return[m,_]},t=(r,i,d)=>{const g=Array.from(r.floatData);return(0,h.scalesValidation)(g,i,d),g},e=(r,i,d,g)=>{const m=i.length,_=new Array(m);for(let y=0,w=m;y{Object.defineProperty(n,"__esModule",{value:!0}),n.shape=void 0;const u=o(9162);n.shape=(p,a)=>(c(a),[new u.Tensor([a[0].dims.length],"int32",void 0,void 0,new Int32Array(a[0].dims))]);const c=p=>{if(!p||p.length!==1)throw new Error("Shape requires 1 input.")}},2278:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.sliceV10=n.parseSliceAttributes=n.slice=void 0;const u=o(246),c=o(782),p=o(2517),a=o(2039),h={name:"Slice",inputNames:["A"],inputTypes:[a.TextureType.unpacked]};n.slice=(e,r,i)=>(l(r),[e.run(Object.assign(Object.assign({},h),{cacheHint:i.cacheKey,get:()=>f(e,r[0],i)}),r)]),n.parseSliceAttributes=e=>{const r=e.attributes.getInts("starts"),i=e.attributes.getInts("ends"),d=e.attributes.getInts("axes",[]);return(0,u.createAttributeWithCacheKey)({starts:r,ends:i,axes:d})};const f=(e,r,i)=>{const d=i.axes.length===0?r.dims.slice(0).map((S,A)=>A):i.axes,g=p.ShapeUtil.normalizeAxes(d,r.dims.length),m=i.starts.map((S,A)=>S>r.dims[g[A]]-1?r.dims[g[A]]:p.ShapeUtil.normalizeAxis(S,r.dims[g[A]])),_=i.ends.map((S,A)=>S>r.dims[g[A]]-1?r.dims[g[A]]:p.ShapeUtil.normalizeAxis(S,r.dims[g[A]])),y=r.dims.slice(),w=[];for(let S=0;S0&&w.push(`outputIdx[${g[S]}] += ${m[S]};`);const v=` + float process(int outputIdx[${y.length}]) { + ${w.join(` + `)} + return _A(outputIdx); + }`;return Object.assign(Object.assign({},h),{output:{dims:y,type:r.type,textureType:a.TextureType.unpacked},shaderSource:v})},l=e=>{if(!e||e.length!==1)throw new Error("Slice requires 1 input.");if(c.NUMBER_TYPES.indexOf(e[0].type)===-1)throw new Error("Invalid input type.")};n.sliceV10=(e,r)=>{t(r);const i=s(e,r);return[e.run(Object.assign(Object.assign({},h),{cacheHint:i.cacheKey,get:()=>f(e,r[0],i)}),[r[0]])]};const s=(e,r)=>{if(!e.session.isInitializer(r[1].dataId)||!e.session.isInitializer(r[2].dataId)||r.length>=4&&!e.session.isInitializer(r[3].dataId)||r.length>=5&&!e.session.isInitializer(r[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(r.length>=5&&r[4].integerData.some(m=>m!==1))throw new Error("currently non-1 steps is not supported for Slice");const i=Array.from(r[1].integerData),d=Array.from(r[2].integerData),g=r.length>=4?Array.from(r[3].integerData):[];return{starts:i,ends:d,axes:g,cacheKey:`${g};${i};${d}`}},t=e=>{if(!e||e.length<3||e.length>5)throw new Error("Invalid input number.");if(e[1].type!=="int32"||e[1].dims.length!==1)throw new Error("Invalid input type.");if(e[2].type!=="int32"||e[2].dims.length!==1)throw new Error("Invalid input type.");if(e.length>=4&&(e[3].type!=="int32"||e[3].dims.length!==1))throw new Error("Invalid input type.");if(e.length>=5&&(e[4].type!=="int32"||e[4].dims.length!==1))throw new Error("Invalid input type.")}},5524:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.softmaxV13=n.parseSoftmaxAttributesV13=n.parseSoftmaxAttributes=n.softmax=void 0;const u=o(246),c=o(2517),p=o(5060),a=o(2039),h=o(3738),f={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[a.TextureType.unpacked]},l={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},s={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked,a.TextureType.unpacked]};n.softmax=(g,m,_)=>{d(m);const y=m[0].dims.slice(),w=c.ShapeUtil.normalizeAxis(_.axis,y.length),v=c.ShapeUtil.sizeToDimension(y,w),S=c.ShapeUtil.sizeFromDimension(y,w);return t(g,m,_,v,S)},n.parseSoftmaxAttributes=g=>(0,u.createAttributeWithCacheKey)({axis:g.attributes.getInt("axis",1)}),n.parseSoftmaxAttributesV13=g=>(0,u.createAttributeWithCacheKey)({axis:g.attributes.getInt("axis",-1)}),n.softmaxV13=(g,m,_)=>{d(m);const y=m[0].dims.slice(),w=c.ShapeUtil.normalizeAxis(_.axis,y.length),v=y.length,S=w!==v-1,A=[];let O,x=[],I=[];S&&(x=Array.from({length:v}).map((F,V)=>V),x[w]=v-1,x[v-1]=w,x.map(F=>A.push(y[F])),O=(0,u.createAttributeWithCacheKey)({perm:x}),I=(0,h.transpose)(g,m,O));const N=S?c.ShapeUtil.sizeToDimension(A,v-1):c.ShapeUtil.sizeToDimension(y,v-1),R=S?c.ShapeUtil.sizeFromDimension(A,v-1):c.ShapeUtil.sizeFromDimension(y,v-1),L=t(g,S?I:m,_,N,R);return S?(0,h.transpose)(g,L,O):L};const t=(g,m,_,y,w)=>{const v=e(g,m[0],y,w,[y]),S=g.run(Object.assign(Object.assign({},f),{cacheHint:_.cacheKey,get:()=>v}),m),A=r(g,m[0],y,w,v.output.dims,[y]),O=g.run(Object.assign(Object.assign({},l),{cacheHint:_.cacheKey,get:()=>A}),[m[0],S]),x=i(g,m[0],y,w,v.output.dims,A.output.dims);return[g.run(Object.assign(Object.assign({},s),{cacheHint:_.cacheKey,get:()=>x}),[m[0],S,O])]},e=(g,m,_,y,w)=>{const[v,S]=g.calculateTextureWidthAndHeight(m.dims,a.TextureType.unpacked),A=w.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(w.length!==1)throw new Error("Dimensionality of the output should be 1");if(w[0]!==_)throw new Error("Shape of the output should be equal to logical row count");const O=(0,p.getGlsl)(g.session.backend.glContext.version),x=` + float process(int[${A}] indices) { + int logical_row_start_offset = indices[0] * ${y}; + + float max = getColorAsFloat(${O.texture2D}(A, offsetToCoords(logical_row_start_offset, ${v}, + ${S} ))); + for(int i=1; i<${y}; ++i) + { + float current = getColorAsFloat(${O.texture2D}(A, offsetToCoords(logical_row_start_offset + i, + ${v}, ${S}))); + if(current > max) + max = current; + } + + return max; + }`;return Object.assign(Object.assign({},f),{output:{dims:w,type:m.type,textureType:a.TextureType.unpacked},shaderSource:x})},r=(g,m,_,y,w,v)=>{const[S,A]=g.calculateTextureWidthAndHeight(m.dims,a.TextureType.unpacked),O=v.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(v.length!==1)throw new Error("Dimensionality of the output should be 1");if(v[0]!==_)throw new Error("Shape of the output should be equal to logical row count");if(w.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(w[0]!==_)throw new Error("Shape of the intermediate results should be equal to logical row count");const x=` + float process(int[${O}] indices) { + int logical_row_start_offset = indices[0] * ${y}; + + float norm_factor = 0.0; + float max = _Max(indices); + for(int i=0; i<${y}; ++i) + { + norm_factor += exp(getColorAsFloat(${(0,p.getGlsl)(g.session.backend.glContext.version).texture2D}(A, offsetToCoords(logical_row_start_offset + i, + ${S}, ${A}))) - max); + } + + return norm_factor; + }`;return Object.assign(Object.assign({},l),{output:{dims:v,type:m.type,textureType:a.TextureType.unpacked},shaderSource:x})},i=(g,m,_,y,w,v)=>{const[S,A]=g.calculateTextureWidthAndHeight(m.dims,a.TextureType.unpacked),O=m.dims.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(w.length!==1||v.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(w[0]!==_||v[0]!==_)throw new Error("Shape of the intermediate results should be equal to logical row count");const x=` + float process(int[${O}] indices) { + + // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords) + int offset = coordsToOffset(TexCoords, ${S}, ${A}); + + //determine the logical row for this index + int logical_row_index[1]; + logical_row_index[0] = offset / ${y}; + + float norm_factor = _Norm(logical_row_index); + + // avoid possible division by 0 + // if norm_facor is 0, all elements are zero + // if so, return 0 + if(norm_factor == 0.0) + return 0.0; + + return exp(_A(indices) - _Max(logical_row_index)) / norm_factor; + }`;return Object.assign(Object.assign({},s),{output:{dims:m.dims,type:m.type,textureType:a.TextureType.unpacked},shaderSource:x})},d=g=>{if(!g||g.length!==1)throw new Error("Softmax requires 1 input.");if(g[0].type!=="float32"&&g[0].type!=="float64")throw new Error("Invalid input type")}},5975:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseSplitAttributes=n.split=void 0;const u=o(246),c=o(2517),p=o(2039),a={name:"Split",inputNames:["A"],inputTypes:[p.TextureType.unpacked]};n.split=(s,t,e)=>{l(t);const r=c.ShapeUtil.normalizeAxis(e.axis,t[0].dims.length),i=h(s,t,r,e),d=[];for(let g=0;gf(s,t[0],e,r,g)}),t));return d},n.parseSplitAttributes=s=>{const t=s.attributes.getInt("axis",0),e=s.attributes.getInts("split",[]),r=s.outputs.length;return(0,u.createAttributeWithCacheKey)({axis:t,split:e,numOutputs:r})};const h=(s,t,e,r)=>{const[,i]=c.SplitUtil.splitShape(t[0].dims,e,r.split,r.numOutputs);return i.length},f=(s,t,e,r,i)=>{const[d,g]=c.SplitUtil.splitShape(t.dims,r,e.split,e.numOutputs),m=g[i],_=d[i],y=` + float process(int indices[${_.length}]) { + indices[${r}] += ${m}; + return _A(indices); + } + `;return Object.assign(Object.assign({},a),{cacheHint:`${e.cacheKey}:${i}`,output:{dims:_,type:t.type,textureType:p.TextureType.unpacked},shaderSource:y})},l=s=>{if(!s||s.length!==1)throw new Error("Split requires one 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u=o(5060),c=o(2039);n.sum=(h,f)=>{a(f);const l={name:"Sum",inputNames:f.map((s,t)=>`X${t}`),inputTypes:new Array(f.length).fill(c.TextureType.unpacked)};return[h.run(Object.assign(Object.assign({},l),{get:()=>p(h,f,l)}),f)]};const p=(h,f,l)=>{const s=(0,u.getGlsl)(h.session.backend.glContext.version),t=f[0].dims.slice(),e=` + void main() { + vec4 result = ${f.map((r,i)=>`${s.texture2D}(X${i},TexCoords)`).join(" + ")}; + ${s.output} = result; + } + `;return Object.assign(Object.assign({},l),{output:{dims:t,type:f[0].type,textureType:c.TextureType.unpacked},hasMain:!0,shaderSource:e})},a=h=>{if(!h||h.length===0)throw new Error("Sum requires inputs.");const f=h[0].dims.length;for(let l=1;l{Object.defineProperty(n,"__esModule",{value:!0}),n.tile=void 0;const u=o(782),c=o(2039);n.tile=(h,f)=>{a(f);const l={name:"Tile",inputNames:["A"],inputTypes:[c.TextureType.unpacked]};return[h.run(Object.assign(Object.assign({},l),{get:()=>p(h,f,l)}),f)]};const p=(h,f,l)=>{const s=f[0].dims.slice(),t=new Array(s.length),e=[];for(let d=0;d{if(!h||h.length!==2)throw new Error("Tile requires 2 input.");if(h[1].dims.length!==1)throw new Error("The second input shape must 1 dimension.");if(h[1].dims[0]!==h[0].dims.length)throw new Error("Invalid input shape.");if(u.NUMBER_TYPES.indexOf(h[0].type)===-1)throw new Error("Invalid input type.");if(h[1].type!=="int32"&&h[1].type!=="int16")throw new Error("Invalid repeat type.")}},3738:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseTransposeAttributes=n.transpose=void 0;const u=o(246),c=o(2517),p=o(2039),a={name:"Transpose",inputNames:["A"],inputTypes:[p.TextureType.unpacked]};n.transpose=(e,r,i)=>(t(r),[e.run(Object.assign(Object.assign({},a),{cacheHint:i.cacheKey,get:()=>h(e,r[0],i.perm)}),r)]),n.parseTransposeAttributes=e=>(0,u.createAttributeWithCacheKey)({perm:e.attributes.getInts("perm",[])});const h=(e,r,i)=>{const d=r.dims;i=f(d,i);const g=l(d,i),m=d.length,_=` + ${s("perm",i,m)} + float process(int indices[${m}]) { + int a[${m}]; + perm(a, indices); + return _A(a); + }`;return Object.assign(Object.assign({},a),{output:{dims:g,type:r.type,textureType:p.TextureType.unpacked},shaderSource:_})},f=(e,r)=>(r&&r.length!==e.length&&(r=[...e.keys()].reverse()),r),l=(e,r)=>(r=f(e,r),c.ShapeUtil.sortBasedOnPerm(e,r)),s=(e,r,i)=>{const d=[];d.push(`void ${e}(out int a[${i}], int src[${i}]) {`);for(let g=0;g{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.");if(e[0].type!=="float32"&&e[0].type!=="float64")throw new Error("input should be float tensor")}},8710:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.encodeAsUint8=void 0;const u=o(5060),c=o(2039);n.encodeAsUint8=(p,a)=>{const h=a.shape,f=(0,u.getGlsl)(p.session.backend.glContext.version),l=` + const float FLOAT_MAX = 1.70141184e38; + const float FLOAT_MIN = 1.17549435e-38; + + bool isNaN(float val) { + return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true; + } + + highp vec4 encodeAsUint8(highp float v) { + if (isNaN(v)) { + return vec4(255, 255, 255, 255); + } + + highp float av = abs(v); + + if(av < FLOAT_MIN) { + return vec4(0.0, 0.0, 0.0, 0.0); + } else if(v > FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 127.0) / 255.0; + } else if(v < -FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 255.0) / 255.0; + } + + highp vec4 c = vec4(0,0,0,0); + + highp float e = floor(log2(av)); + highp float m = exp2(fract(log2(av))) - 1.0; + + c[2] = floor(128.0 * m); + m -= c[2] / 128.0; + c[1] = floor(32768.0 * m); + m -= c[1] / 32768.0; + c[0] = floor(8388608.0 * m); + + highp float ebias = e + 127.0; + c[3] = floor(ebias / 2.0); + ebias -= c[3] * 2.0; + c[2] += floor(ebias) * 128.0; + + c[3] += 128.0 * step(0.0, -v); + + return c / 255.0; + } + + void main() { + float value = ${f.texture2D}(X,TexCoords).r; + ${f.output} = encodeAsUint8(value); + }`,s={name:"Uint8Encode",inputTypes:[c.TextureType.unpacked],inputNames:["X"],output:{dims:h,type:a.tensor.type,textureType:c.TextureType.downloadUint8AsFloat},shaderSource:l,hasMain:!0};return p.executeProgram(s,[a.tensor])}},4909:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.tanh=n.tan=n.sqrt=n.sin=n.sigmoid=n.relu=n.not=n.neg=n.log=n.parseLeakyReluAttributes=n.leakyRelu=n.identity=n.floor=n.exp=n.parseEluAttributes=n.elu=n.cos=n.ceil=n.clipV11=n.parseClipAttributes=n.clip=n.atan=n.asin=n.acos=n.abs=n.glslTanh=n.glslTan=n.glslSqrt=n.glslSigmoid=n.glslRelu=n.glslSin=n.glslNot=n.glslNeg=n.glslLog=n.glslLeakyRelu=n.glslIdentity=n.glslClip=n.glslFloor=n.glslExp=n.glslElu=n.glslCos=n.glslCeil=n.glslAtan=n.glslAsin=n.glslAcos=n.glslAbs=void 0;const u=o(246),c=o(2517),p=o(8520),a=o(5060),h=o(2039);function f(){return L("abs")}function l(){return L("acos")}function s(){return L("asin")}function t(){return L("atan")}function e(){return L("ceil")}function r(){return L("cos")}function i(D){const j="elu";return{body:` + const float alpha = float(${D}); + + float ${j}_(float a) { + return a >= 0.0 ? a: (exp(a) - 1.0) * alpha; + } + vec4 ${j}_(vec4 v) { + return vec4(${j}_(v.x), ${j}_(v.y), ${j}_(v.z), ${j}_(v.w)); + } + `,name:j,type:p.FunctionType.ValueBased}}function d(){return L("exp")}function g(){return L("floor")}function m(D,j){const Q="clip";return{body:` + const float min = float(${D}); + const float max = float(${j}); + + float ${Q}_(float a) { + return clamp(a, min, max); + } + vec4 ${Q}_(vec4 v) { + return clamp(v, min, max); + } + `,name:Q,type:p.FunctionType.ValueBased}}function _(){const D="indentity";return{body:` + float ${D}_(float a) { + return a; + } + vec4 ${D}_(vec4 v) { + return v; + } + `,name:D,type:p.FunctionType.ValueBased}}function y(D){const j="leakyRelu";return{body:` + const float alpha = float(${D}); + + float ${j}_(float a) { + return a < 0.0 ? a * alpha : a; + } + vec4 ${j}_(vec4 v) { + return vec4(${j}_(v.x), ${j}_(v.y), ${j}_(v.z), ${j}_(v.w)); + } + `,name:j,type:p.FunctionType.ValueBased}}function w(){return L("log")}function v(){const D="neg";return{body:` + float ${D}_(float a) { + return -a; + } + vec4 ${D}_(vec4 v) { + return -v; + } + `,name:D,type:p.FunctionType.ValueBased}}function S(){const D="not";return{body:` + float ${D}_(float a) { + return float( ! bool(a) ); + } + bool ${D}_(bool a) { + return !a; + } + vec4 ${D}_(vec4 v) { + return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w)); + } + bvec4 ${D}_(bvec4 v) { + return bvec4(!v.x, !v.y, !v.z, !v.w); + } + `,name:D,type:p.FunctionType.ValueBased}}function A(){return L("sin")}function O(){const D="relu";return{body:` + float ${D}_(float a) { + return max( a, 0.0 ); + } + vec4 ${D}_(vec4 v) { + return max( v, 0.0 ); + } + `,name:D,type:p.FunctionType.ValueBased}}function x(){const D="sigmoid";return{body:` + float ${D}_(float a) { + return 1.0 / (1.0 + exp(-a)); + } + vec4 ${D}_(vec4 v) { + return 1.0 / (1.0 + exp(-v)); + } + `,name:D,type:p.FunctionType.ValueBased}}function I(){return L("sqrt")}function N(){return L("tan")}function R(){const D="tanh";return{body:` + float ${D}_(float a) { + a = clamp(a, -10., 10.); + a = exp(2.*a); + return (a - 1.) / (a + 1.); + } + vec4 ${D}_(vec4 v) { + v = clamp(v, -10., 10.); + v = exp(2.*v); + return (v - 1.) / (v + 1.); + } + `,name:D,type:p.FunctionType.ValueBased}}function L(D){return{body:` + float ${D}_(float a) { + return ${D}(a); + } + vec4 ${D}_(vec4 v) { + return ${D}(v); + } + `,name:D,type:p.FunctionType.ValueBased}}n.glslAbs=f,n.glslAcos=l,n.glslAsin=s,n.glslAtan=t,n.glslCeil=e,n.glslCos=r,n.glslElu=i,n.glslExp=d,n.glslFloor=g,n.glslClip=m,n.glslIdentity=_,n.glslLeakyRelu=y,n.glslLog=w,n.glslNeg=v,n.glslNot=S,n.glslSin=A,n.glslRelu=O,n.glslSigmoid=x,n.glslSqrt=I,n.glslTan=N,n.glslTanh=R;const F=(D,j,Q,X)=>{const J=D.session.pack?h.TextureType.packed:h.TextureType.unpacked,ee={name:Q.name,inputTypes:[J],inputNames:["A"],cacheHint:X};return Object.assign(Object.assign({},ee),{get:()=>((ue,Ae,xe,oe)=>{const ye=ue.session.pack?h.TextureType.packed:h.TextureType.unpacked,be=(0,a.getGlsl)(ue.session.backend.glContext.version);return Object.assign(Object.assign({},Ae),{output:{dims:xe.dims,type:xe.type,textureType:ye},shaderSource:` + ${oe.body} + void main() { + vec4 v = ${be.texture2D}(A, TexCoords); + v = ${oe.name}_(v); + ${be.output} = v; + } + `,hasMain:!0})})(D,ee,j,Q)})};n.abs=(D,j)=>[D.run(F(D,j[0],f()),j)],n.acos=(D,j)=>[D.run(F(D,j[0],l()),j)],n.asin=(D,j)=>[D.run(F(D,j[0],s()),j)],n.atan=(D,j)=>[D.run(F(D,j[0],t()),j)],n.clip=(D,j,Q)=>[D.run(F(D,j[0],m(Q.min,Q.max),Q.cacheKey),j)],n.parseClipAttributes=D=>(0,u.createAttributeWithCacheKey)({min:D.attributes.getFloat("min",c.MIN_CLIP),max:D.attributes.getFloat("max",c.MAX_CLIP)}),n.clipV11=(D,j)=>{const Q=V(D,j);return(0,n.clip)(D,[j[0]],Q)};const V=(D,j)=>{if(j.length>=3&&(!D.session.isInitializer(j[1].dataId)||!D.session.isInitializer(j[2].dataId)))throw new 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Object.assign(Object.assign({},h),{hasMain:!0,output:{dims:l.dims,type:l.type,textureType:c.TextureType.unpacked},shaderSource:m})},n.createUnpackProgramInfoLoader=(f,l)=>Object.assign(Object.assign({},h),{get:()=>(0,n.createUnpackProgramInfo)(f,l)})},8428:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.parseUnsqueezeAttributes=n.unsqueezeV13=n.unsqueeze=void 0;const u=o(2517);n.unsqueeze=(a,h,f)=>{c(h);const l=u.ShapeUtil.unsqueezeShape(h[0].dims,f);return[a.reshapeUnpacked(h[0],l)]},n.unsqueezeV13=(a,h)=>(p(h),(0,n.unsqueeze)(a,[h[0]],Array.from(h[1].integerData))),n.parseUnsqueezeAttributes=a=>a.attributes.getInts("axes");const c=a=>{if(!a||a.length!==1)throw new Error("Unsqueeze requires 1 input.");if(a[0].type==="string")throw new Error("invalid input tensor types.")},p=a=>{if(!a||a.length!==2)throw new Error("Unsqueeze requires 2 inputs.");if(a[1].type!=="int32")throw new Error("Invalid input type.")}},9793:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.scalesValidation=n.validateInputs=n.parseUpsampleAttributes=n.parseUpsampleAttributesV9=n.parseUpsampleAttributesV7=n.upsample=void 0;const u=o(246),c=o(5060),p=o(2039),a={name:"Upsample",inputNames:["X"],inputTypes:[p.TextureType.unpacked]};n.upsample=(f,l,s)=>((0,n.validateInputs)(l,s),[f.run(Object.assign(Object.assign({},a),{cacheHint:s.cacheKey,get:()=>h(f,l,s)}),l)]),n.parseUpsampleAttributesV7=f=>(0,n.parseUpsampleAttributes)(f,7),n.parseUpsampleAttributesV9=f=>(0,n.parseUpsampleAttributes)(f,9),n.parseUpsampleAttributes=(f,l)=>{const s=l>=10,t=f.attributes.getString("mode","nearest");if(t!=="nearest"&&t!=="linear"&&(l<11||t!=="cubic"))throw new Error(`unrecognized mode: ${t}`);let e=[];l<9&&(e=f.attributes.getFloats("scales"),(0,n.scalesValidation)(e,t,s));const r=f.attributes.getFloat("extrapolation_value",0),i=l>10?f.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(i)===-1)throw new Error(`coordinate_transform_mode '${i}' is not supported`);const d=i==="tf_crop_and_resize",g=d,m=t==="nearest"&&l>=11?f.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(m)===-1)throw new Error(`nearest_mode '${m}' is not supported`);const _=f.attributes.getFloat("cubic_coeff_a",-.75),y=f.attributes.getInt("exclude_outside",0)!==0;if(y&&t!=="cubic")throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");const w=l<11||t==="nearest"&&i==="asymmetric"&&m==="floor";let v=0,S=0,A=0;return l>10?f.inputs.length>2?(v=1,S=2,A=3):(S=1,A=2):l===9&&(S=1),(0,u.createAttributeWithCacheKey)({opset:l,isResize:s,mode:t,scales:e,extrapolationValue:r,coordinateTransformMode:i,useExtrapolation:g,needRoiInput:d,nearestMode:m,cubicCoefficientA:_,excludeOutside:y,useNearest2xOptimization:w,roiInputIdx:v,scalesInputIdx:S,sizesInputIdx:A})};const h=(f,l,s)=>{const t=(0,c.getGlsl)(f.session.backend.glContext.version),[e,r]=f.calculateTextureWidthAndHeight(l[0].dims,p.TextureType.unpacked),i=l[0].dims.map((A,O)=>Math.floor(A*s.scales[O])),[d,g]=f.calculateTextureWidthAndHeight(i,p.TextureType.unpacked),m=i.length,_=new Array(m),y=new Array(m);let w=` + int output_pitches[${m}]; + int input_pitches[${m}]; + `;for(let A=m-1;A>=0;A--)_[A]=A===m-1?1:_[A+1]*i[A+1],y[A]=A===m-1?1:y[A+1]*l[0].dims[A+1],w+=` + output_pitches[${A}] = ${_[A]}; + input_pitches[${A}] = ${y[A]}; + `;const v=` + float getInputFloat(int index) { + vec2 coords = offsetToCoords(index, ${e}, ${r}); + float value = getColorAsFloat(${t.texture2D}(X, coords)); + return value; + } + `,S=s.mode==="nearest"?` + ${v} + float process(int indices[${m}]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${d}, ${g}); + + ${w} + + int d, m; + for (int dim = 0; dim < ${m}; ++dim) { + d = output_index / output_pitches[dim]; + m = output_index - d * output_pitches[dim]; + output_index = m; + + if (scales[dim] != 1 && d > 0) { + int d2 = d / scales[dim]; + m = d - d2 * scales[dim]; + d = d2; + } + input_index += input_pitches[dim] * d; + } + + return getInputFloat(input_index); + }`:m===4?` + ${v} + float process(int indices[4]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${d}, ${g}); + + ${w} + + int m; + int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3; + index_of_dim0 = output_index / output_pitches[0]; + m = output_index - index_of_dim0 * output_pitches[0]; + index_of_dim1 = m / output_pitches[1]; + m = m - index_of_dim1 * output_pitches[1]; + index_of_dim2 = m / output_pitches[2]; + m = m - index_of_dim2 * output_pitches[2]; + index_of_dim3 = m; + + int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset; + index_of_input_dim2 = index_of_dim2 / scales[2]; + y_offset = index_of_dim2 - index_of_input_dim2 * scales[2]; + index_of_input_dim3 = index_of_dim3 / scales[3]; + x_offset = index_of_dim3 - index_of_input_dim3 * scales[3]; + + input_index = index_of_dim0 * input_pitches[0] + + index_of_dim1 * input_pitches[1] + + index_of_input_dim2 * input_pitches[2] + + index_of_input_dim3; + + float x00 = getInputFloat(input_index); + float x10, x01, x11; + + bool end_of_dim2 = false; + if (index_of_input_dim2 == (${l[0].dims[2]} - 1)) { + // It's the end in dimension 2 + x01 = x00; + end_of_dim2 = true; + } else { + x01 = getInputFloat(input_index + input_pitches[2]); + } + + if (index_of_input_dim3 == (input_pitches[2] - 1)) { + // It's the end in dimension 3 + x10 = x00; + x11 = x01; + } + else { + x10 = getInputFloat(input_index + 1); + x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1); + } + + float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]); + float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]); + return y0 + float(x_offset) * (y1 - y0) / float(scales[3]); + }`:` + ${v} + float process(int indices[2]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${d}, ${g}); + + ${w} + + int m; + int index_of_dim0, index_of_dim1; + index_of_dim0 = output_index / output_pitches[0]; + m = output_index - index_of_dim0 * output_pitches[0]; + index_of_dim1 = m; + + int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset; + index_of_input_dim0 = index_of_dim0 / scales[0]; + y_offset = index_of_dim0 - index_of_input_dim0 * scales[0]; + index_of_input_dim1 = index_of_dim1 / scales[1]; + x_offset = index_of_dim1 - index_of_input_dim1 * scales[1]; + + input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1; + + float x00 = getInputFloat(input_index); + float x10, x01, x11; + + bool end_of_dim0 = false; + if (index_of_input_dim0 == (${l[0].dims[0]} - 1)) { + // It's the end in dimension 0 + x01 = x00; + end_of_dim0 = true; + } else { + x01 = getInputFloat(input_index + input_pitches[0]); + } + + if (index_of_input_dim1 == (input_pitches[0] - 1)) { + // It's the end in dimension 1 + x10 = x00; + x11 = x01; + } + else { + x10 = getInputFloat(input_index + 1); + x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1); + } + + float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]); + float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]); + return y0 + float(x_offset) * (y1 - y0) / float(scales[1]); + }`;return Object.assign(Object.assign({},a),{output:{dims:i,type:l[0].type,textureType:p.TextureType.unpacked},shaderSource:S,variables:[{name:"scales",type:"int",arrayLength:s.scales.length,data:s.scales.map(A=>Math.ceil(A))}]})};n.validateInputs=(f,l)=>{if(!f||l.opset<9&&f.length!==1||l.opset>=9&&l.opset<11&&f.length!==2||l.opset>=11&&f.length<2)throw new Error("invalid inputs.");if(l.scales.length>0&&f[0].dims.length!==l.scales.length)throw new Error("Invalid input shape.");if(f[0].type==="string")throw new Error("Invalid input tensor types.")},n.scalesValidation=(f,l,s)=>{if(s){for(const t of f)if(t<=0)throw new Error("Scale value should be greater than 0.")}else for(const t of f)if(t<1)throw new Error("Scale value should be greater than or equal to 1.");if(!(l!=="linear"&&l!=="cubic"||f.length===2||f.length===4&&f[0]===1&&f[1]===1))throw new Error(`'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic') or 4-D inputs with the corresponding outermost 2 scale values being 1 in the ${s?"Resize":"Upsample"} opeartor.`)}},1958:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.ProgramManager=void 0;const u=o(1670),c=o(6231),p=o(8879),a=o(5060);n.ProgramManager=class{constructor(h,f,l){this.profiler=h,this.glContext=f,this.textureLayoutStrategy=l,this.repo=new Map,this.attributesBound=!1}getArtifact(h){return this.repo.get(h)}setArtifact(h,f){this.repo.set(h,f)}run(h,f,l){var s;this.profiler.event("op",`ProgramManager.run ${(s=h.programInfo.name)!==null&&s!==void 0?s:"unknown kernel"}`,()=>{var t;const e=this.glContext.gl,r=h.program;e.useProgram(r);try{this.bindOutput(l),this.attributesBound||this.bindAttributes(h.attribLocations),this.bindUniforms(h.uniformLocations,(t=h.programInfo.variables)!==null&&t!==void 0?t:[],f)}catch(i){throw 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r=this.maxTextureSize;if(t&&t.breakAxis!==void 0){const g=t.breakAxis>=s.length?1:s.slice(t.breakAxis).reduce((_,y)=>_*y),m=t.breakAxis<=0?1:s.slice(0,t.breakAxis).reduce((_,y)=>_*y);if(!(g>r||m>r))return[g,m];u.Logger.verbose("TextureLayout",`Given width/height preferences were unattainable: shape:${s}, breakAxis:${t.breakAxis}`)}let i=s.slice(0);e&&(r*=2,i=i.map((g,m)=>m>=i.length-2?i[m]%2==0?i[m]:i[m]+1:i[m]),i.length===1&&(i=[2,i[0]])),i.length!==2&&(i=p(i).newShape);const d=f(i);return i.length<=1&&d<=r?[1,d]:i.length===2&&i[0]<=r&&i[1]<=r?i:i.length===3&&i[0]*i[1]<=r&&i[2]<=r?[i[0]*i[1],i[2]]:i.length===3&&i[0]<=r&&i[1]*i[2]<=r?[i[0],i[1]*i[2]]:i.length===4&&i[0]*i[1]*i[2]<=r&&i[3]<=r?[i[0]*i[1]*i[2],i[3]]:i.length===4&&i[0]<=r&&i[1]*i[2]*i[3]<=r?[i[0],i[1]*i[2]*i[3]]:e?l(d/4).map(g=>2*g):l(d)}},n.squeezeShape=p,n.parseAxisParam=a,n.isInt=h,n.sizeFromShape=f,n.getRowsCols=function(s){if(s.length===0)throw Error("Cannot get rows and columns of an empty shape 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l.startShape(t),l.addDim(t,e),l.endShape(t)}}f.Shape=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDimension(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDimension(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}value(t){let e=this.bb.__offset(this.bb_pos,4);return e?(t||new a.experimental.fbs.DimensionValue).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}denotation(t){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__string(this.bb_pos+e,t):null}static startDimension(t){t.startObject(2)}static addValue(t,e){t.addFieldOffset(0,e,0)}static addDenotation(t,e){t.addFieldOffset(1,e,0)}static endDimension(t){return t.endObject()}static 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startDimensionValue(t){t.startObject(3)}static addDimType(t,e){t.addFieldInt8(0,e,a.experimental.fbs.DimensionValueType.UNKNOWN)}static addDimValue(t,e){t.addFieldInt64(1,e,t.createLong(0,0))}static addDimParam(t,e){t.addFieldOffset(2,e,0)}static endDimensionValue(t){return t.endObject()}static createDimensionValue(t,e,r,i){return l.startDimensionValue(t),l.addDimType(t,e),l.addDimValue(t,r),l.addDimParam(t,i),l.endDimensionValue(t)}}f.DimensionValue=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsTensorTypeAndShape(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsTensorTypeAndShape(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}elemType(){let 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startInputsVector(t,e){t.startVector(4,e,4)}static addOutputs(t,e){t.addFieldOffset(6,e,0)}static createOutputsVector(t,e){t.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)t.addOffset(e[r]);return t.endVector()}static startOutputsVector(t,e){t.startVector(4,e,4)}static addSparseInitializers(t,e){t.addFieldOffset(7,e,0)}static createSparseInitializersVector(t,e){t.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)t.addOffset(e[r]);return t.endVector()}static startSparseInitializersVector(t,e){t.startVector(4,e,4)}static endGraph(t){return t.endObject()}static createGraph(t,e,r,i,d,g,m,_,y){return l.startGraph(t),l.addInitializers(t,e),l.addNodeArgs(t,r),l.addNodes(t,i),l.addMaxNodeIndex(t,d),l.addNodeEdges(t,g),l.addInputs(t,m),l.addOutputs(t,_),l.addSparseInitializers(t,y),l.endGraph(t)}}f.Graph=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsModel(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsModel(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}irVersion(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt64(this.bb_pos+t):this.bb.createLong(0,0)}opsetImport(t,e){let r=this.bb.__offset(this.bb_pos,6);return r?(e||new a.experimental.fbs.OperatorSetId).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*t),this.bb):null}opsetImportLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}producerName(t){let e=this.bb.__offset(this.bb_pos,8);return e?this.bb.__string(this.bb_pos+e,t):null}producerVersion(t){let e=this.bb.__offset(this.bb_pos,10);return e?this.bb.__string(this.bb_pos+e,t):null}domain(t){let e=this.bb.__offset(this.bb_pos,12);return e?this.bb.__string(this.bb_pos+e,t):null}modelVersion(){let t=this.bb.__offset(this.bb_pos,14);return t?this.bb.readInt64(this.bb_pos+t):this.bb.createLong(0,0)}docString(t){let e=this.bb.__offset(this.bb_pos,16);return e?this.bb.__string(this.bb_pos+e,t):null}graph(t){let e=this.bb.__offset(this.bb_pos,18);return e?(t||new a.experimental.fbs.Graph).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}graphDocString(t){let e=this.bb.__offset(this.bb_pos,20);return e?this.bb.__string(this.bb_pos+e,t):null}static startModel(t){t.startObject(9)}static addIrVersion(t,e){t.addFieldInt64(0,e,t.createLong(0,0))}static addOpsetImport(t,e){t.addFieldOffset(1,e,0)}static createOpsetImportVector(t,e){t.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)t.addOffset(e[r]);return t.endVector()}static startOpsetImportVector(t,e){t.startVector(4,e,4)}static addProducerName(t,e){t.addFieldOffset(2,e,0)}static addProducerVersion(t,e){t.addFieldOffset(3,e,0)}static addDomain(t,e){t.addFieldOffset(4,e,0)}static addModelVersion(t,e){t.addFieldInt64(5,e,t.createLong(0,0))}static addDocString(t,e){t.addFieldOffset(6,e,0)}static addGraph(t,e){t.addFieldOffset(7,e,0)}static addGraphDocString(t,e){t.addFieldOffset(8,e,0)}static endModel(t){return t.endObject()}static createModel(t,e,r,i,d,g,m,_,y,w){return l.startModel(t),l.addIrVersion(t,e),l.addOpsetImport(t,r),l.addProducerName(t,i),l.addProducerVersion(t,d),l.addDomain(t,g),l.addModelVersion(t,m),l.addDocString(t,_),l.addGraph(t,y),l.addGraphDocString(t,w),l.endModel(t)}}f.Model=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsKernelCreateInfos(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsKernelCreateInfos(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}nodeIndices(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.readUint32(this.bb.__vector(this.bb_pos+e)+4*t):0}nodeIndicesLength(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.__vector_len(this.bb_pos+t):0}nodeIndicesArray(){let t=this.bb.__offset(this.bb_pos,4);return t?new Uint32Array(this.bb.bytes().buffer,this.bb.bytes().byteOffset+this.bb.__vector(this.bb_pos+t),this.bb.__vector_len(this.bb_pos+t)):null}kernelDefHashes(t){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.readUint64(this.bb.__vector(this.bb_pos+e)+8*t):this.bb.createLong(0,0)}kernelDefHashesLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}static startKernelCreateInfos(t){t.startObject(2)}static addNodeIndices(t,e){t.addFieldOffset(0,e,0)}static createNodeIndicesVector(t,e){t.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)t.addInt32(e[r]);return t.endVector()}static startNodeIndicesVector(t,e){t.startVector(4,e,4)}static addKernelDefHashes(t,e){t.addFieldOffset(1,e,0)}static createKernelDefHashesVector(t,e){t.startVector(8,e.length,8);for(let r=e.length-1;r>=0;r--)t.addInt64(e[r]);return t.endVector()}static startKernelDefHashesVector(t,e){t.startVector(8,e,8)}static endKernelCreateInfos(t){return t.endObject()}static createKernelCreateInfos(t,e,r){return l.startKernelCreateInfos(t),l.addNodeIndices(t,e),l.addKernelDefHashes(t,r),l.endKernelCreateInfos(t)}}f.KernelCreateInfos=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSubGraphSessionState(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSubGraphSessionState(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}graphId(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}sessionState(t){let e=this.bb.__offset(this.bb_pos,6);return e?(t||new a.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}static startSubGraphSessionState(t){t.startObject(2)}static addGraphId(t,e){t.addFieldOffset(0,e,0)}static addSessionState(t,e){t.addFieldOffset(1,e,0)}static endSubGraphSessionState(t){let e=t.endObject();return t.requiredField(e,4),e}static createSubGraphSessionState(t,e,r){return l.startSubGraphSessionState(t),l.addGraphId(t,e),l.addSessionState(t,r),l.endSubGraphSessionState(t)}}f.SubGraphSessionState=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSessionState(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSessionState(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}kernels(t){let e=this.bb.__offset(this.bb_pos,4);return e?(t||new a.experimental.fbs.KernelCreateInfos).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}subGraphSessionStates(t,e){let r=this.bb.__offset(this.bb_pos,6);return r?(e||new a.experimental.fbs.SubGraphSessionState).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*t),this.bb):null}subGraphSessionStatesLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}static startSessionState(t){t.startObject(2)}static addKernels(t,e){t.addFieldOffset(0,e,0)}static addSubGraphSessionStates(t,e){t.addFieldOffset(1,e,0)}static createSubGraphSessionStatesVector(t,e){t.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)t.addOffset(e[r]);return t.endVector()}static startSubGraphSessionStatesVector(t,e){t.startVector(4,e,4)}static endSessionState(t){return t.endObject()}static createSessionState(t,e,r){return l.startSessionState(t),l.addKernels(t,e),l.addSubGraphSessionStates(t,r),l.endSessionState(t)}}f.SessionState=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={})),function(a){(function(h){(function(f){class l{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsInferenceSession(t,e){return(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsInferenceSession(t,e){return t.setPosition(t.position()+u.flatbuffers.SIZE_PREFIX_LENGTH),(e||new l).__init(t.readInt32(t.position())+t.position(),t)}static bufferHasIdentifier(t){return t.__has_identifier("ORTM")}ortVersion(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}model(t){let e=this.bb.__offset(this.bb_pos,6);return e?(t||new a.experimental.fbs.Model).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}sessionState(t){let e=this.bb.__offset(this.bb_pos,8);return e?(t||new a.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}static startInferenceSession(t){t.startObject(3)}static addOrtVersion(t,e){t.addFieldOffset(0,e,0)}static addModel(t,e){t.addFieldOffset(1,e,0)}static addSessionState(t,e){t.addFieldOffset(2,e,0)}static endInferenceSession(t){return t.endObject()}static finishInferenceSessionBuffer(t,e){t.finish(e,"ORTM")}static finishSizePrefixedInferenceSessionBuffer(t,e){t.finish(e,"ORTM",!0)}static createInferenceSession(t,e,r,i){return l.startInferenceSession(t),l.addOrtVersion(t,e),l.addModel(t,r),l.addSessionState(t,i),l.endInferenceSession(t)}}f.InferenceSession=l})(h.fbs||(h.fbs={}))})(a.experimental||(a.experimental={}))}(n.onnxruntime||(n.onnxruntime={}))},7448:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.OnnxjsSessionHandler=void 0;const u=o(1670),c=o(9162);n.OnnxjsSessionHandler=class{constructor(p){this.session=p,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(p,a,h){const f=new Map;for(const t in p)if(Object.hasOwnProperty.call(p,t)){const e=p[t];f.set(t,new c.Tensor(e.dims,e.type,void 0,void 0,e.data))}const l=await this.session.run(f),s={};return l.forEach((t,e)=>{s[e]=new u.Tensor(t.type,t.data,t.dims)}),s}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6919:(b,n,o)=>{Object.defineProperty(n,"__esModule",{value:!0}),n.Session=void 0;const u=o(7067),c=o(1296),p=o(7091),a=o(1036),h=o(6231),f=o(2644);n.Session=class{constructor(l={}){this._initialized=!1,this.backendHint=l.backendHint,this.profiler=h.Profiler.create(l.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(l,s,t){await this.profiler.event("session","Session.loadModel",async()=>{const e=await(0,p.resolveBackend)(this.backendHint);if(this.sessionHandler=e.createSessionHandler(this.context),this._model=new f.Model,typeof l=="string"){const r=l.endsWith(".ort");if(typeof fetch>"u"){const i=await(0,c.promisify)(u.readFile)(l);this.initialize(i,r)}else{const i=await fetch(l),d=await i.arrayBuffer();this.initialize(new Uint8Array(d),r)}}else if(ArrayBuffer.isView(l))this.initialize(l);else{const r=new Uint8Array(l,s||0,t||l.byteLength);this.initialize(r)}})}initialize(l,s){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",()=>{const t=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(l,t,s),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(l){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",async()=>{const s=this.normalizeAndValidateInputs(l),t=await this._executionPlan.execute(this.sessionHandler,s);return this.createOutput(t)})}normalizeAndValidateInputs(l){const s=this._model.graph.getInputNames();if(Array.isArray(l)){if(l.length!==s.length)throw new Error(`incorrect input array length: expected ${s.length} but got ${l.length}`)}else{if(l.size!==s.length)throw new Error(`incorrect input map size: expected ${s.length} but got ${l.size}`);const t=new Array(l.size);let e=0;for(let r=0;rtypeof O=="string")))throw new TypeError("cache should be a string array");A&&(this.cache=new Array(S))}else{if(w!==void 0){const O=e(m);if(!(w instanceof O))throw new TypeError(`cache should be type ${O.name}`)}if(A){const O=new ArrayBuffer(S*function(x){switch(x){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 ${x}`)}}(m));this.cache=function(x,I){return new(e(I))(x)}(O,m)}}}static fromProto(g){if(!g)throw new Error("cannot construct Value from an empty tensor");const m=f.ProtoUtil.tensorDataTypeFromProto(g.dataType),_=f.ProtoUtil.tensorDimsFromProto(g.dims),y=new s(_,m);if(m==="string")g.stringData.forEach((w,v)=>{y.data[v]=(0,f.decodeUtf8String)(w)});else if(g.rawData&&typeof g.rawData.byteLength=="number"&&g.rawData.byteLength>0){const w=y.data,v=new DataView(g.rawData.buffer,g.rawData.byteOffset,g.rawData.byteLength),S=t(g.dataType),A=g.rawData.byteLength/S;if(g.rawData.byteLength%S!=0)throw new Error("invalid buffer length");if(w.length!==A)throw new Error("buffer length mismatch");for(let O=0;O0){const w=y.data,v=new DataView(g.rawDataArray().buffer,g.rawDataArray().byteOffset,g.rawDataLength()),S=t(g.dataType()),A=g.rawDataLength()/S;if(g.rawDataLength()%S!=0)throw new Error("invalid buffer length");if(w.length!==A)throw new Error("buffer length mismatch");for(let O=0;O1&&I>1)return;A[S-O]=Math.max(x,I)}return A}static index(m,_){const y=new Array(_.length);return l.fillIndex(m,_,y),y}static fillIndex(m,_,y){const w=m.length-_.length;for(let v=0;v<_.length;v++)y[v]=m[w+v]%_[v]}static calc(m,_,y,w,v){const S=l.calcShape(m.dims,_.dims);if(S){if(w&&!e.areEqual(S,m.dims))return;const A=e.size(S),O=w?m:new h.Tensor(S,v||m.type);if(S.length===0)O.set([],y(m.get([]),_.get([])));else{const x=new Array(S.length),I=new Array(m.dims.length),N=new Array(_.dims.length);let R,L=0,F=0,V=!1,D=!1;m.dims.length===0&&(L=m.get([]),V=!0),_.dims.length===0&&(F=_.get([]),D=!0);for(let j=0;j=0;Q--)x[Q]=R%S[Q],R=Math.floor(R/S[Q]);V||(l.fillIndex(x,m.dims,I),L=m.get(I)),D||(l.fillIndex(x,_.dims,N),F=_.get(N)),O.set(x,y(L,F))}}return O}}static isValidBroadcast(m,_){const y=m.length,w=_.length;if(y>w)return!1;for(let v=1;v<=y;v++)if(m[y-v]!==1&&m[y-v]!==_[w-v])return!1;return!0}static getBroadcastDims(m,_){const y=m.length,w=[];for(let v=0;v1&&A===1&&w.unshift(S)}return w}}n.BroadcastUtil=l,n.arrayCopyHelper=function(g,m,_,y,w){if(y<0||y>=m.length)throw new Error("sourceIndex out of bounds");if(_<0||_>=g.length)throw new Error("targetIndex out of bounds");if(y+w>m.length)throw new Error("source indices to be copied are outside bounds");if(_+w>g.length)throw new Error("target array is too small to hold result");for(let v=0;vp.default.isLong(_)?_.toNumber():_)}static tensorValueTypeFromProto(m){return{tensorType:s.tensorDataTypeFromProto(m.elemType),shape:{dims:s.tensorDimsFromProto(m.shape.dim.map(_=>_.dimValue))}}}static tensorDimsFromORTFormat(m){const _=[];for(let y=0;ym.length)throw new Error(`invalid dimension of ${_} for sizeFromDimension as Tensor has ${m.length} dimensions.`);return e.getSizeFromDimensionRange(m,_,m.length)}static sizeToDimension(m,_){if(_<0||_>m.length)throw new Error(`invalid dimension of ${_} for sizeToDimension as Tensor has ${m.length} dimensions.`);return e.getSizeFromDimensionRange(m,0,_)}static getSizeFromDimensionRange(m,_,y){let w=1;for(let v=_;v=0;--w)y[w]=y[w+1]*m[w+1];return y}static transpose(m){return m.slice().reverse()}static indicesToOffset(m,_,y){y===void 0&&(y=m.length);let w=0;for(let v=0;v=_)throw new Error("unsupported axis for this operation.");return m<0?m+_:m}static normalizeAxes(m,_){return m.map(y=>this.normalizeAxis(y,_))}static incrementIndex(m,_,y){if(_.length===0||m.length===0)throw new Error("Index incrementing unsupported for scalar Tensor");if(y===void 0)y=_.length;else if(y<=0||y>_.length)throw new Error("Incorrect axis to increment on");for(let w=y-1;w>=0&&(m[w]++,!(m[w]<_[w]));--w)m[w]=0}static calculateReshapedDims(m,_){if(_.length===0){if(m.length===0||e.size(m)===1)return[];throw new Error("cannot reshape to a scalar Tensor")}const y=_.length,w=new Array(y);let v=-1,S=1;for(let O=0;O=m.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");w[O]=m[O]}else w[O]=_[O];S*=w[O]}}const A=e.size(m);if(v!==-1){if(A%S!=0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${m}] Output shape: [${_}]`);w[v]=A/S}else if(S!==A)throw new Error("reshapedDims and originalDims don't have matching sizes");return w}static sortBasedOnPerm(m,_){return _?_.map(y=>m[y]):m.slice().reverse()}static padShape(m,_){const y=m.length;return m.map((w,v)=>w+_[v]+_[v+y])}static areEqual(m,_){return m.length===_.length&&m.every((y,w)=>y===_[w])}static validateDimsAndCalcSize(m){if(m.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let _=1;for(const y of m){if(!Number.isInteger(y))throw new TypeError(`Invalid shape: ${y} is not an integer`);if(y<0||y>2147483647)throw new TypeError(`Invalid shape: length ${y} is not allowed`);_*=y}return _}static flattenShape(m,_){_<0&&(_+=m.length);const y=m.reduce((v,S)=>v*S,1),w=m.slice(_).reduce((v,S)=>v*S,1);return[y/w,w]}static squeezeShape(m,_){const y=new Array;_=e.normalizeAxes(_,m.length);for(let w=0;w=0;if(v&&m[w]!==1)throw new Error("squeeze an axis of size different than 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Error("`env.useCustomCache=true`, but `env.customCache` is not defined.");const p=u.revision??"main";let a=pathJoin(b,n),h=pathJoin(env.localModelPath,a),f=pathJoin(env.remoteHost,env.remotePathTemplate.replaceAll("{model}",b).replaceAll("{revision}",p),n),l=p==="main"?a:pathJoin(b,p,n),s,t=c instanceof FileCache?l:f,e=!1,r;if(c&&(r=await tryCache(c,h,t)),r===void 0){if(env.allowLocalModels)if(isValidHttpUrl(a)){if(u.local_files_only)throw new Error(`\`local_files_only=true\`, but attempted to load a remote file from: ${a}.`)}else try{r=await getFile(h),s=h}catch(g){console.warn(`Unable to load from local path "${h}": "${g}"`)}if(r===void 0||r.status===404){if(u.local_files_only||!env.allowRemoteModels){if(o)throw Error(`\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${h}".`);return null}if(r=await getFile(f),r.status!==200)return handleError(r.status,f,o);s=t}e=c&&typeof Response<"u"&&r instanceof 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Will expand buffer when needed.");let u=parseInt(o??"0"),c=new Uint8Array(u),p=0;const a=b.body.getReader();async function h(){const{done:f,value:l}=await a.read();if(f)return;let s=p+l.length;if(s>u){u=s;let e=new Uint8Array(u);e.set(c),c=e}c.set(l,p),p=s;const t=p/u*100;return n({progress:t,loaded:p,total:u}),h()}return await h(),c}function pathJoin(...b){return b=b.map((n,o)=>(o&&(n=n.replace(new RegExp("^/"),"")),o!==b.length-1&&(n=n.replace(new RegExp("/$"),"")),n)),b.join("/")}function interpolate_data(b,[n,o,u],[c,p],a="bilinear",h=!1){const f=p/u,l=c/o,s=new b.constructor(c*p*n),t=o*u,e=c*p;for(let r=0;r=0;--h)c[h]=f,u[h]=n[o[h]],f*=u[h];const p=o.map((h,f)=>c[o.indexOf(f)]),a=new b.constructor(b.length);for(let h=0;h=0;--l)f+=s%n[l]*p[l],s=Math.floor(s/n[l]);a[f]=b[h]}return[a,u]}function softmax(b){const n=max(b)[0],o=b.map(p=>Math.exp(p-n)),u=o.reduce((p,a)=>p+a,0);return o.map(p=>p/u)}function log_softmax(b){return softmax(b).map(u=>Math.log(u))}function getTopItems(b,n=0){return b=Array.from(b).map((o,u)=>[u,o]).sort((o,u)=>u[1]-o[1]),n>0&&(b=b.slice(0,n)),b}function min(b){if(b.length===0)throw Error("Array must not be empty");let n=b[0],o=0;for(let u=1;un&&(n=b[u],o=u);return[n,o]}function rfftfreq(b,n=1){if(!Number.isInteger(b))throw new TypeError(`n should be an integer, but ${b} given.`);const o=1/(b*n),u=Math.floor(b/2)+1,c=new Array(u);for(let p=0;pu;u<<=1)++o;this._width=o%2===0?o-1:o,this._bitrev=new Int32Array(1<>>c&3)<>>1);for(let c=0;c>>1]=n[c];return u}toComplexArray(n,o){const u=o||this.createComplexArray();for(let c=0;c>>1],u[c+1]=0;return u}completeSpectrum(n){const o=this._csize,u=o>>>1;for(let c=2;c>=2;a>=2;a>>=2){h=c/a<<1;let t=h>>>2;for(f=0;f>>1,a>>>1)}else for(f=0,l=0;f>>1,a>>>1,u)}for(a>>=2;a>=2;a>>=2){h=c/a<<1;const t=h>>>1,e=t>>>1,r=e>>>1;for(f=0;f=b.length&&(f=2*(b.length-1)-f),u[a++]=b[f]}u.sort(),o[p]=u[c]}return o}function round(b,n){const o=Math.pow(10,n);return Math.round(b*o)/o}const ONNXTensor$1=ONNX.Tensor;class Tensor extends ONNXTensor$1{constructor(...n){return n[0]instanceof ONNX.Tensor?super(n[0].type,n[0].data,n[0].dims):super(...n),new Proxy(this,{get:(o,u)=>{if(typeof u=="string"){let c=Number(u);if(Number.isInteger(c))return o._getitem(c)}return o[u]},set:(o,u,c)=>o[u]=c})}*[Symbol.iterator](){const[n,...o]=this.dims;if(o.length>0){const u=o.reduce((c,p)=>c*p);for(let c=0;c0){const c=u.reduce((p,a)=>p*a);return this._subarray(n,c,u)}else return new Tensor(this.type,[this.data[n]],u)}indexOf(n){for(let o=0;ol[1])throw new Error(`Invalid slice: ${l}`);let s=[Math.max(l[0],0),Math.min(l[1],this.dims[f])];u.push(s),o.push(s[1]-s[0])}else throw new Error(`Invalid slice: ${l}`)}let c=u.map(([f,l])=>l-f),p=c.reduce((f,l)=>f*l),a=new this.data.constructor(p);const h=this.stride();for(let f=0;f=0;--s){const e=c[s];l+=(t%e+u[s][0])*h[s],t=Math.floor(t/e)}a[f]=this.data[l]}return new Tensor(this.type,a,o)}transpose(...n){return transpose(this,n)}sum(n=null,o=!1){return this.norm(1,n,o)}norm(n="fro",o=null,u=!1){if(n==="fro")n=2;else if(typeof n=="string")throw Error(`Unsupported norm: ${n}`);if(o===null){let a=this.data.reduce((h,f)=>h+f**n,0)**(1/n);return new Tensor(this.type,[a],[])}o=safeIndex(o,this.dims.length);const c=this.dims.slice();c[o]=1;const p=new this.data.constructor(this.data.length/this.dims[o]);for(let a=0;a=0;--f){const t=this.dims[f];if(f!==o){const e=l%t;h+=e*s,s*=c[f]}l=Math.floor(l/t)}p[h]+=this.data[a]**n}if(n!==1)for(let a=0;a=0;--a){const l=this.dims[a];if(a!==o){const s=h%l;p+=s*f,f*=this.dims[a]}h=Math.floor(h/l)}this.data[c]/=u.data[p]}return this}normalize(n=2,o=1){return this.clone().normalize_(n,o)}stride(){return dimsToStride(this.dims)}squeeze(n=null){return new Tensor(this.type,this.data,calc_squeeze_dims(this.dims,n))}squeeze_(n=null){return this.dims=calc_squeeze_dims(this.dims,n),this}unsqueeze(n=null){return new Tensor(this.type,this.data,calc_unsqueeze_dims(this.dims,n))}unsqueeze_(n=null){return this.dims=calc_unsqueeze_dims(this.dims,n),this}flatten_(n=0,o=-1){o=(o+this.dims.length)%this.dims.length;let u=this.dims.slice(0,n),c=this.dims.slice(n,o+1),p=this.dims.slice(o+1);return this.dims=[...u,c.reduce((a,h)=>a*h,1),...p],this}flatten(n=0,o=-1){return this.clone().flatten_(n,o)}view(...n){let o=-1;for(let u=0;ua!==o?c*p:c,1);n[o]=this.data.length/u}return new Tensor(this.type,this.data,n)}neg_(){for(let n=0;np*a);if(o!==u)throw Error(`cannot reshape array of size ${o} into shape (${n})`);let c=b;for(let p=n.length-1;p>=0;p--)c=c.reduce((a,h)=>{let f=a[a.length-1];return f.lengtho!==1):typeof n=="number"?b[n]===1&&b.splice(n,1):Array.isArray(n)&&(b=b.filter((o,u)=>o!==1||!n.includes(u))),b}function calc_unsqueeze_dims(b,n){return n=safeIndex(n,b.length+1),b=b.slice(),b.splice(n,0,1),b}function safeIndex(b,n,o=null){if(b<-n||b>=n)throw new Error(`IndexError: index ${b} is out of bounds for dimension${o===null?"":" "+o} with size ${n}`);return b<0&&(b=(b%n+n)%n),b}function cat(b,n=0){n=safeIndex(n,b[0].dims.length);const o=b[0].dims.slice();o[n]=b.reduce((a,h)=>a+h.dims[n],0);const u=o.reduce((a,h)=>a*h,1),c=new b[0].data.constructor(u),p=b[0].type;if(n===0){let a=0;for(let h of b)c.set(h.data,a),a+=h.data.length}else{let a=0;for(let h=0;h=0;--t){const i=f.dims[t];let d=e%i;t===n&&(d+=a),s+=d*r,r*=o[t],e=Math.floor(e/i)}c[s]=f.data[l]}a+=f.dims[n]}}return new Tensor(p,c,o)}function stack(b,n=0){return cat(b.map(o=>o.unsqueeze(n)),n)}function std_mean(b,n=null,o=1,u=!1){if(n===null){const l=b.data.reduce((r,i)=>r+i,0)/b.data.length,s=Math.sqrt(b.data.reduce((r,i)=>r+(i-l)**2,0)/(b.data.length-o)),t=new Tensor(b.type,[l],[]);return[new Tensor(b.type,[s],[]),t]}n=safeIndex(n,b.dims.length);const c=mean(b,n,u),p=b.dims.slice();p[n]=1;const a=new b.data.constructor(b.data.length/b.dims[n]);for(let f=0;f=0;--s){const r=b.dims[s];if(s!==n){const i=t%r;l+=i*e,e*=p[s]}t=Math.floor(t/r)}a[l]+=(b.data[f]-c.data[l])**2}for(let f=0;fa+h,0);return new Tensor(b.type,[p/b.data.length],[])}n=safeIndex(n,b.dims.length);const u=b.dims.slice();u[n]=1;const c=new b.data.constructor(b.data.length/b.dims[n]);for(let p=0;p=0;--h){const s=b.dims[h];if(h!==n){const t=f%s;a+=t*l,l*=u[h]}f=Math.floor(f/s)}c[a]+=b.data[p]}if(b.dims[n]!==1)for(let p=0;p0||h>0;)switch(f.push(a-1),l.push(h-1),p[a][h].item()){case 0:--a,--h;break;case 1:--a;break;case 2:--h;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${a}, ${h}]. Please file a bug report.`)}return f.reverse(),l.reverse(),[f,l]}function dimsToStride(b){const n=new Array(b.length);for(let o=b.length-1,u=1;o>=0;--o)n[o]=u,u*=b[o];return n}class PriorityQueue{constructor(n=(o,u)=>o>u){this._heap=[],this._comparator=n}get size(){return this._heap.length}isEmpty(){return this.size===0}peek(){return this._heap[0]}push(...n){return this.extend(n)}extend(n){for(const o of n)this._heap.push(o),this._siftUp();return this.size}pop(){const n=this.peek(),o=this.size-1;return o>0&&this._swap(0,o),this._heap.pop(),this._siftDown(),n}replace(n){const o=this.peek();return this._heap[0]=n,this._siftDown(),o}_parent(n){return(n+1>>>1)-1}_left(n){return(n<<1)+1}_right(n){return n+1<<1}_greater(n,o){return this._comparator(this._heap[n],this._heap[o])}_swap(n,o){const u=this._heap[n];this._heap[n]=this._heap[o],this._heap[o]=u}_siftUp(){let n=this.size-1;for(;n>0&&this._greater(n,this._parent(n));)this._swap(n,this._parent(n)),n=this._parent(n)}_siftDown(){let n=0;for(;this._left(n)[]),this.endNodes=Array.from({length:this.len+1},()=>[]);const c=new TokenLatticeNode(this.bosTokenId,0,0,0,0),p=new TokenLatticeNode(this.eosTokenId,1,this.len,0,0);this.nodes.push(c.clone()),this.nodes.push(p.clone()),this.beginNodes[this.len].push(p),this.endNodes[0].push(c)}insert(n,o,u,c){const p=this.nodes.length,a=new TokenLatticeNode(c,p,n,o,u);this.beginNodes[n].push(a),this.endNodes[n+o].push(a),this.nodes.push(a)}viterbi(){const n=this.len;let o=0;for(;o<=n;){if(this.beginNodes[o].length==0)return[];for(let h of this.beginNodes[o]){h.prev=null;let f=0,l=null;for(let s of this.endNodes[o]){const t=s.backtraceScore+h.score;(l===null||t>f)&&(l=s.clone(),f=t)}if(l!==null)h.prev=l,h.backtraceScore=f;else return[]}++o}const u=[],p=this.beginNodes[n][0].prev;if(p===null)return[];let a=p.clone();for(;a.prev!==null;)u.push(a.clone()),a=a.clone().prev.clone();return u.reverse(),u}piece(n){return this.sentence.slice(n.pos,n.pos+n.length)}tokens(){return this.viterbi().map(o=>this.piece(o))}tokenIds(){return this.viterbi().map(o=>o.tokenId)}}class TokenLatticeNode{constructor(n,o,u,c,p){this.tokenId=n,this.nodeId=o,this.pos=u,this.length=c,this.score=p,this.prev=null,this.backtraceScore=0}clone(){const n=new TokenLatticeNode(this.tokenId,this.nodeId,this.pos,this.length,this.score);return n.prev=this.prev,n.backtraceScore=this.backtraceScore,n}}async function loadTokenizer(b,n){return await Promise.all([getModelJSON(b,"tokenizer.json",!0,n),getModelJSON(b,"tokenizer_config.json",!0,n)])}function createPattern(b,n=!0){return b.Regex!==void 0?new RegExp(n?b.Regex:`(${b.Regex})`,"gu"):b.String!==void 0?b.String:(console.warn("Unknown pattern type:",b),null)}function clean_up_tokenization(b){return b.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function fuse(b,n){let o=[],u=0;for(;uthis.tokens_to_ids.get(u)??this.unk_token_id);return this.fuse_unk&&(o=fuse(o,this.unk_token_id)),o}convert_ids_to_tokens(n){return n.map(o=>this.vocab[o]??this.unk_token)}}class WordPieceTokenizer extends TokenizerModel{constructor(n){super(n),this.tokens_to_ids=n.vocab,this.unk_token_id=this.tokens_to_ids.get(n.unk_token),this.unk_token=n.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[o,u]of this.tokens_to_ids)this.vocab[u]=o}encode(n){let o=[];for(let u of n){let c=[...u],p=!1,a=0,h=[];for(;a0&&(s=this.config.continuing_subword_prefix+s),this.tokens_to_ids.has(s)){l=s;break}--f}if(l===null){p=!0;break}h.push(l),a=f}p?o.push(this.unk_token):o.push(...h)}return o}}class Unigram extends TokenizerModel{constructor(n,o){super(n),this.vocab=new Array(n.vocab.size),this.scores=new Array(n.vocab.size);let u=0;n.vocab.forEach((c,p)=>{this.vocab[u]=p,this.scores[u]=c,++u}),this.unk_token_id=n.unk_id,this.unk_token=this.vocab[n.unk_id],this.tokens_to_ids=new Map(this.vocab.map((c,p)=>[c,p])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=o.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=min(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(n){const o=n.sentence,u=o.length;let c=0;for(;c{const b=[...Array.from({length:"~".charCodeAt(0)-"!".charCodeAt(0)+1},(c,p)=>p+"!".charCodeAt(0)),...Array.from({length:"¬".charCodeAt(0)-"¡".charCodeAt(0)+1},(c,p)=>p+"¡".charCodeAt(0)),...Array.from({length:"ÿ".charCodeAt(0)-"®".charCodeAt(0)+1},(c,p)=>p+"®".charCodeAt(0))];let n=b.slice(),o=0;for(let c=0;c<256;++c)b.includes(c)||(b.push(c),n.push(256+o),o+=1);let u=n.map(c=>String.fromCharCode(c));return Object.fromEntries(b.map((c,p)=>[c,u[p]]))})(),UNICODE_TO_BYTES=reverseDictionary(BYTES_TO_UNICODE);class BPE extends TokenizerModel{constructor(n){super(n),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=n.vocab,this.unk_token_id=this.tokens_to_ids.get(n.unk_token),this.unk_token=n.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[o,u]of this.tokens_to_ids)this.vocab[u]=o;this.bpe_ranks=new Map(n.merges.map((o,u)=>[o,u])),this.merges=n.merges.map(o=>o.split(this.BPE_SPLIT_TOKEN)),this.end_of_word_suffix=n.end_of_word_suffix,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.cache=new Map,this.fuse_unk??(this.fuse_unk=this.config.fuse_unk)}bpe(n){if(n.length===0)return[];const o=this.cache.get(n);if(o!==void 0)return o;const u=Array.from(n);this.end_of_word_suffix&&(u[u.length-1]+=this.end_of_word_suffix);let c=[];if(u.length>1){const p=new PriorityQueue((f,l)=>f.score`<0x${a.toString(16).toUpperCase().padStart(2,"0")}>`)):o.push(this.unk_token)}return o}}class LegacyTokenizerModel extends TokenizerModel{constructor(n,o){super(n),this.tokens_to_ids=o.target_lang?n.vocab.get(o.target_lang):n.vocab,this.bos_token=o.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=o.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=o.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=o.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[u,c]of this.tokens_to_ids)this.vocab[c]=u}encode(n){return n}}class Normalizer extends Callable{constructor(n){super(),this.config=n}static fromConfig(n){if(n===null)return null;switch(n.type){case"BertNormalizer":return new BertNormalizer(n);case"Precompiled":return new Precompiled(n);case"Sequence":return new NormalizerSequence(n);case"Replace":return new Replace(n);case"NFC":return new NFC(n);case"NFKD":return new NFKD(n);case"Strip":return new StripNormalizer(n);case"StripAccents":return new StripAccents(n);case"Lowercase":return new Lowercase(n);case"Prepend":return new Prepend(n);default:throw new Error(`Unknown Normalizer type: ${n.type}`)}}normalize(n){throw Error("normalize should be implemented in subclass.")}_call(n){return this.normalize(n)}}class Replace extends Normalizer{normalize(n){let o=createPattern(this.config.pattern);return o===null||(n=n.replaceAll(o,this.config.content)),n}}class NFC extends Normalizer{normalize(n){return n=n.normalize("NFC"),n}}class NFKD extends Normalizer{normalize(n){return n=n.normalize("NFKD"),n}}class StripNormalizer extends Normalizer{normalize(n){return this.config.strip_left&&this.config.strip_right?n=n.trim():(this.config.strip_left&&(n=n.trimStart()),this.config.strip_right&&(n=n.trimEnd())),n}}class StripAccents extends Normalizer{normalize(n){return n=n.replace(/[\u0300-\u036f]/g,""),n}}class Lowercase extends Normalizer{normalize(n){return n=n.toLowerCase(),n}}class Prepend extends Normalizer{normalize(n){return n=this.config.prepend+n,n}}class NormalizerSequence extends Normalizer{constructor(n){super(n),this.normalizers=n.normalizers.map(o=>Normalizer.fromConfig(o))}normalize(n){return this.normalizers.reduce((o,u)=>u.normalize(o),n)}}class BertNormalizer extends Normalizer{_tokenize_chinese_chars(n){let o=[];for(let u=0;u=19968&&n<=40959||n>=13312&&n<=19903||n>=131072&&n<=173791||n>=173824&&n<=177983||n>=177984&&n<=178207||n>=178208&&n<=183983||n>=63744&&n<=64255||n>=194560&&n<=195103}stripAccents(n){return n.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}normalize(n){return this.config.handle_chinese_chars&&(n=this._tokenize_chinese_chars(n)),this.config.lowercase?(n=n.toLowerCase(),this.config.strip_accents!==!1&&(n=this.stripAccents(n))):this.config.strip_accents&&(n=this.stripAccents(n)),n}}class PreTokenizer extends Callable{static fromConfig(n){if(n===null)return null;switch(n.type){case"BertPreTokenizer":return new BertPreTokenizer(n);case"Sequence":return new PreTokenizerSequence(n);case"WhitespaceSplit":return new WhitespaceSplit(n);case"Metaspace":return new MetaspacePreTokenizer(n);case"ByteLevel":return new ByteLevelPreTokenizer(n);case"Split":return new SplitPreTokenizer(n);case"Punctuation":return new PunctuationPreTokenizer(n);case"Digits":return new DigitsPreTokenizer(n);default:throw new Error(`Unknown PreTokenizer type: ${n.type}`)}}pre_tokenize_text(n){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(n){let o=[];return Array.isArray(n)?o=n.map(u=>this.pre_tokenize_text(u)):o=this.pre_tokenize_text(n),o.flat()}_call(n){return this.pre_tokenize(n)}}class BertPreTokenizer extends PreTokenizer{constructor(n){super(),this.pattern=new RegExp(`[^\\s${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]`,"gu")}pre_tokenize_text(n){return n.trim().match(this.pattern)||[]}}class ByteLevelPreTokenizer extends PreTokenizer{constructor(n){super(),this.config=n,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=BYTES_TO_UNICODE,this.text_encoder=new TextEncoder}pre_tokenize_text(n){return(this.use_regex?n.match(this.pattern)||[]:[n]).map(u=>(this.add_prefix_space&&!u.startsWith(" ")&&(u=" "+u),u=Array.from(this.text_encoder.encode(u),c=>this.byte_encoder[c]).join(""),u))}}class SplitPreTokenizer extends PreTokenizer{constructor(n){super(),this.config=n,this.pattern=createPattern(this.config.pattern,this.config.invert)}pre_tokenize_text(n){return this.pattern===null?[]:this.config.invert?n.match(this.pattern)||[]:n.split(this.pattern).filter(o=>o)}}class PunctuationPreTokenizer extends PreTokenizer{constructor(n){super(),this.config=n,this.pattern=new RegExp(`[^${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]+`,"gu")}pre_tokenize_text(n){return n.match(this.pattern)||[]}}class DigitsPreTokenizer extends PreTokenizer{constructor(n){super(),this.config=n;const o=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(o,"gu")}pre_tokenize_text(n){return n.match(this.pattern)||[]}}class PostProcessor extends Callable{constructor(n){super(),this.config=n}static fromConfig(n){if(n===null)return null;switch(n.type){case"TemplateProcessing":return new TemplateProcessing(n);case"ByteLevel":return new ByteLevelPostProcessor(n);case"RobertaProcessing":return new RobertaProcessing(n);default:throw new Error(`Unknown PostProcessor type: ${n.type}`)}}post_process(n,...o){throw Error("post_process should be implemented in subclass.")}_call(n,...o){return this.post_process(n,...o)}}class RobertaProcessing extends PostProcessor{constructor(n){super(n),this.cls=n.cls[0],this.sep=n.sep[0]}post_process(n,o=null){return n=mergeArrays([this.cls],n,[this.sep]),o!==null&&(n=mergeArrays(n,[this.sep],o,[this.sep])),n}}class TemplateProcessing extends PostProcessor{constructor(n){super(n),this.single=n.single,this.pair=n.pair}post_process(n,o=null){let u=o===null?this.single:this.pair,c=[];for(let p of u)"SpecialToken"in p?c.push(p.SpecialToken.id):"Sequence"in p&&(p.Sequence.id==="A"?c=mergeArrays(c,n):p.Sequence.id==="B"&&(c=mergeArrays(c,o)));return c}}class ByteLevelPostProcessor extends PostProcessor{post_process(n){return n}}class Decoder extends Callable{constructor(n){super(),this.config=n,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=n.trim_offsets}static fromConfig(n){switch(n.type){case"WordPiece":return new WordPieceDecoder(n);case"Metaspace":return new MetaspaceDecoder(n);case"ByteLevel":return new ByteLevelDecoder(n);case"Replace":return new ReplaceDecoder(n);case"ByteFallback":return new ByteFallback(n);case"Fuse":return new FuseDecoder(n);case"Strip":return new StripDecoder(n);case"Sequence":return new DecoderSequence(n);case"CTC":return new CTCDecoder(n);default:throw new Error(`Unknown Decoder type: ${n.type}`)}}_call(n){return this.decode(n)}decode(n){return this.decode_chain(n).join("")}decode_chain(n){throw Error("`decode_chain` should be implemented in subclass.")}}class ReplaceDecoder extends Decoder{decode_chain(n){let o=createPattern(this.config.pattern);return o===null?n:n.map(u=>u.replaceAll(o,this.config.content))}}class ByteFallback extends Decoder{constructor(n){super(n),this.text_decoder=new TextDecoder}decode_chain(n){let o=[],u=[];for(let c of n){let p=null;if(c.length===6&&c.startsWith("<0x")&&c.endsWith(">")){let a=parseInt(c.slice(3,5),16);isNaN(a)||(p=a)}if(p!==null)u.push(p);else{if(u.length>0){let a=this.text_decoder.decode(Uint8Array.from(u));o.push(a),u=[]}o.push(c)}}if(u.length>0){let c=this.text_decoder.decode(Uint8Array.from(u));o.push(c),u=[]}return o}}class FuseDecoder extends Decoder{decode_chain(n){return[n.join("")]}}class StripDecoder extends Decoder{constructor(n){super(n),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(n){return n.map(o=>{let u=0;for(let p=0;p(u!==0&&(o.startsWith(this.config.prefix)?o=o.replace(this.config.prefix,""):o=" "+o),this.cleanup&&(o=clean_up_tokenization(o)),o))}}class ByteLevelDecoder extends Decoder{constructor(n){super(n),this.byte_decoder=UNICODE_TO_BYTES,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(n){let o=n.join(""),u=new Uint8Array([...o].map(p=>this.byte_decoder[p]));return this.text_decoder.decode(u)}decode_chain(n){let o=[],u=[];for(let c of n)this.added_tokens.includes(c)?(u.length>0&&(o.push(this.convert_tokens_to_string(u)),u=[]),o.push(c)):u.push(c);return u.length>0&&o.push(this.convert_tokens_to_string(u)),o}}class CTCDecoder extends Decoder{constructor(n){super(n),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(n){if(n.length===0)return"";let o=[n[0]];for(let p=1;pp!==this.pad_token).join("");return this.cleanup&&(c=clean_up_tokenization(c).replaceAll(this.word_delimiter_token," ").trim()),c}decode_chain(n){return[this.convert_tokens_to_string(n)]}}class DecoderSequence extends Decoder{constructor(n){super(n),this.decoders=n.decoders.map(o=>Decoder.fromConfig(o))}decode_chain(n){return this.decoders.reduce((o,u)=>u.decode_chain(o),n)}}class MetaspacePreTokenizer extends PreTokenizer{constructor(n){super(),this.addPrefixSpace=n.add_prefix_space,this.replacement=n.replacement,this.strRep=n.str_rep||this.replacement}pre_tokenize(n){typeof n=="string"&&(n=n.trimStart().split(/\s+/));const o=[];for(let u of n){let c=u.replaceAll(" ",this.strRep);this.addPrefixSpace&&!c.startsWith(this.replacement)&&(c=this.strRep+c),o.push(c)}return o}}class MetaspaceDecoder extends Decoder{constructor(n){super(n),this.addPrefixSpace=n.add_prefix_space,this.replacement=n.replacement}decode_chain(n){let o=[];for(let u=0;uu.normalize("NFKC")).join("～"):n=n.normalize("NFKC"),n}}class PreTokenizerSequence extends PreTokenizer{constructor(n){super(),this.tokenizers=n.pretokenizers.map(o=>PreTokenizer.fromConfig(o))}pre_tokenize_text(n){return typeof n=="string"&&(n=[n]),this.tokenizers.reduce((o,u)=>u.pre_tokenize(o),n)}}class WhitespaceSplit extends PreTokenizer{constructor(n){super()}pre_tokenize_text(n){return whitespace_split(n)}}class PreTrainedTokenizer extends Callable{constructor(n,o){if(super(),this.normalizer=Normalizer.fromConfig(n.normalizer),this.pre_tokenizer=PreTokenizer.fromConfig(n.pre_tokenizer),n.model.vocab){Array.isArray(n.model.vocab)||(n.model.vocab=Object.entries(n.model.vocab)),n.model.vocab=new Map(n.model.vocab);for(const[u,c]of n.model.vocab)typeof c=="object"&&n.model.vocab.set(u,new Map(Object.entries(c)))}this.model=TokenizerModel.fromConfig(n.model,o),this.post_processor=PostProcessor.fromConfig(n.post_processor),this.decoder=Decoder.fromConfig(n.decoder),this.decoder.end_of_word_suffix=this.model.end_of_word_suffix,this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(let u of n.added_tokens){let c=u.id,p=u.content;this.added_tokens.push(p),this.model.tokens_to_ids.set(p,c),this.model.vocab[c]=p,u.special&&(this.special_tokens.push(p),this.all_special_ids.push(c))}this.special_tokens.push(...o.additional_special_tokens??[]),this.special_tokens=[...new Set(this.special_tokens)],this.decoder.added_tokens=this.added_tokens,this.added_tokens_regex=this.added_tokens.length>0?new RegExp("("+this.added_tokens.map(escapeRegExp).join("|")+")"):null,this.mask_token=this.getToken(o,"mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken(o,"pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken(o,"sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.model_max_length=o.model_max_length,this.remove_space=o.remove_space,this.clean_up_tokenization_spaces=o.clean_up_tokenization_spaces??!0,this.padding_side="right"}getToken(n,...o){for(let u of o){let c=n[u];if(c)if(typeof c=="object"){if(c.__type==="AddedToken")return c.content;throw Error(`Unknown token: ${c}`)}else return c}return null}static async from_pretrained(n,{progress_callback:o=null,config:u=null,cache_dir:c=null,local_files_only:p=!1,revision:a="main"}={}){let h=await loadTokenizer(n,{progress_callback:o,config:u,cache_dir:c,local_files_only:p,revision:a});return new this(...h)}prepare_model_inputs(n){return n}_call(n,{text_pair:o=null,padding:u=!1,truncation:c=null,max_length:p=null,return_tensor:a=!0}={}){let h;if(Array.isArray(n)){if(n.length===0)throw Error("text array must be non-empty");if(o!==null){if(Array.isArray(o)){if(n.length!==o.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");h=n.map((t,e)=>this.encode(t,o[e]))}else h=n.map(t=>this.encode(t))}else{if(n===null)throw Error("text may not be null");if(Array.isArray(o))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");h=[this.encode(n,o)]}let f=max(h.map(t=>t.length))[0];p===null&&(p=f),p=Math.min(p,this.model_max_length);let l=[];if(u||c)for(let t=0;tp)c&&(h[t]=h[t].slice(0,p)),l.push(new Array(h[t].length).fill(1));else if(u){let e=p-h[t].length;this.padding_side==="right"?(l.push(new Array(h[t].length).fill(1).concat(new Array(e).fill(0))),h[t].push(...new Array(e).fill(this.pad_token_id))):(l.push(new Array(e).fill(0).concat(new Array(h[t].length).fill(1))),h[t].unshift(...new Array(e).fill(this.pad_token_id)))}else l.push(new Array(h[t].length).fill(1));else l=h.map(t=>new Array(t.length).fill(1));if(a){if(!(u&&c)&&h.some(e=>e.length!==h[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");let t=[h.length,h[0].length];h=new Tensor("int64",BigInt64Array.from(h.flat().map(BigInt)),t),l=new Tensor("int64",BigInt64Array.from(l.flat().map(BigInt)),t)}else Array.isArray(n)||(h=h[0],l=l[0]);let s={input_ids:h,attention_mask:l};return s=this.prepare_model_inputs(s),s}_encode_text(n){return n===null?null:(this.added_tokens_regex?n.split(this.added_tokens_regex).filter(c=>c):[n]).map(c=>{if(this.added_tokens.includes(c))return c;{this.remove_space===!0&&(c=c.trim().split(/\s+/).join(" ")),this.normalizer!==null&&(c=this.normalizer(c));let p=this.pre_tokenizer!==null?this.pre_tokenizer(c):[c];return this.model(p)}}).flat()}encode(n,o=null){let u=this._encode_text(n),c=this._encode_text(o),p=this.post_processor!==null?this.post_processor(u,c):mergeArrays(u??[],c??[]);return this.model.convert_tokens_to_ids(p)}batch_decode(n,o={}){return n.map(u=>this.decode(u,o))}decode(n,o={}){if(!Array.isArray(n)||n.length===0||!isIntegralNumber(n[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(n,o)}decode_single(n,{skip_special_tokens:o=!1,clean_up_tokenization_spaces:u=null}){let c=this.model.convert_ids_to_tokens(n);o&&(c=c.filter(a=>!this.special_tokens.includes(a)));let p=this.decoder(c);return this.decoder.end_of_word_suffix&&(p=p.replaceAll(this.decoder.end_of_word_suffix," "),o&&(p=p.trim())),(u??this.clean_up_tokenization_spaces)&&(p=clean_up_tokenization(p)),p}}function add_token_types(b){if(b.input_ids instanceof Tensor)b.token_type_ids=new Tensor("int64",new BigInt64Array(b.input_ids.data.length),b.input_ids.dims);else if(Array.isArray(b.input_ids))Array.isArray(b.input_ids[0])?b.token_type_ids=b.input_ids.map(n=>new Array(n.length).fill(0)):b.token_type_ids=new Array(b.input_ids.length).fill(0);else throw new Error("Input ids must be a Tensor or an Array");return b}class BertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class AlbertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class MobileBertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class SqueezeBertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class DebertaTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class DebertaV2Tokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class DistilBertTokenizer extends PreTrainedTokenizer{}class T5Tokenizer extends PreTrainedTokenizer{}class GPT2Tokenizer extends PreTrainedTokenizer{}class BartTokenizer extends PreTrainedTokenizer{}class RobertaTokenizer extends PreTrainedTokenizer{}class BloomTokenizer extends PreTrainedTokenizer{}class LlamaTokenizer extends PreTrainedTokenizer{}class XLMRobertaTokenizer extends PreTrainedTokenizer{}class MPNetTokenizer extends PreTrainedTokenizer{}class FalconTokenizer extends PreTrainedTokenizer{prepare_model_inputs(n){return add_token_types(n)}}class GPTNeoXTokenizer extends PreTrainedTokenizer{}function _build_translation_inputs(b,n,o,u){if(!("language_codes"in b)||!Array.isArray(b.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in b)||!(b.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in b)||typeof b.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const c=u.src_lang,p=u.tgt_lang;if(!b.language_codes.includes(p))throw new Error(`Target language code "${p}" is not valid. Must be one of: {${b.language_codes.join(", ")}}`);if(c!==void 0){if(!b.language_codes.includes(c))throw new Error(`Source language code "${c}" is not valid. Must be one of: {${b.language_codes.join(", ")}}`);for(let a of b.post_processor.config.single)if("SpecialToken"in a&&b.languageRegex.test(a.SpecialToken.id)){a.SpecialToken.id=b.lang_to_token(c);break}}return u.forced_bos_token_id=b.model.convert_tokens_to_ids([b.lang_to_token(p)])[0],b._call(n,o)}class NllbTokenizer extends PreTrainedTokenizer{constructor(n,o){super(n,o),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(u=>this.languageRegex.test(u)),this.lang_to_token=u=>u}_build_translation_inputs(n,o,u){return _build_translation_inputs(this,n,o,u)}}class M2M100Tokenizer extends PreTrainedTokenizer{constructor(n,o){super(n,o),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(u=>this.languageRegex.test(u)).map(u=>u.slice(2,-2)),this.lang_to_token=u=>`__${u}__`}_build_translation_inputs(n,o,u){return _build_translation_inputs(this,n,o,u)}}const WHISPER_LANGUAGES=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],WHISPER_LANGUAGE_MAPPING=new Map(WHISPER_LANGUAGES),WHISPER_TO_LANGUAGE_CODE_MAPPING=new Map([...WHISPER_LANGUAGES.map(([b,n])=>[n,b]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);class WhisperTokenizer extends PreTrainedTokenizer{_decode_asr(n,{return_timestamps:o=!1,return_language:u=!1,time_precision:c=null,force_full_sequences:p=!0}={}){if(c===null)throw Error("Must specify time_precision");let a=null;const h=o==="word";function f(){return{language:a,timestamp:[null,null],text:""}}const l=[];let s=f(),t=0;const e=this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1;let r=[],i=[],d=!1,g=null;const m=new Set(this.all_special_ids);for(let w of n){const v=w.tokens,S=h?w.token_timestamps:null;let A=null,O=e;if("stride"in w){const[N,R,L]=w.stride;if(t-=R,g=N-L,R&&(O=R/c+e),L)for(let F=v.length-1;F>=0;--F){const V=v[F];if(V>=e){if(A!==null&&(V-e)*c=e){const L=(R-e)*c+t,F=round(L,2);if(A!==null&&R>=A)d=!0;else if(d||r.length>0&&R0?(r.push(x),h&&i.push(I)):r.every(N=>N.length===0)&&(s=f(),r=[],x=[],i=[],I=[])}if(r.length>0){if(p&&o)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[w,v]=this.findLongestCommonSequence(r,i),S=this.decode(w);s.text=S,h&&(s.words=this.collateWordTimestamps(w,v,a)),l.push(s)}let _=Object.create(null);const y=l.map(w=>w.text).join("");if(o||u){for(let w=0;w0;let h=a?[]:null,f=a?o[0]:null;for(let l=1;lF===N[V]).length,L=R/w+v;R>1&&L>t&&(t=L,e=[S,A,x,I])}const[i,d,g,m]=e,_=Math.floor((d+i)/2),y=Math.floor((m+g)/2);p.push(...u.slice(0,_)),u=s.slice(y),c=u.length,a&&(h.push(...f.slice(0,_)),f=o[l].slice(y))}return p.push(...u),a?(h.push(...f),[p,h]):[p,[]]}collateWordTimestamps(n,o,u){let[c,p,a]=this.combineTokensIntoWords(n,u),h=[];for(let f=0;f=c){let h=(a-c)*u;h=round(h,2),p.push(`<|${h}|>`),p.push([])}else p[p.length-1].push(a);return p=p.map(a=>typeof a=="string"?a:super.decode(a,o)),p.join("")}splitTokensOnUnicode(n){const o=this.decode(n,{decode_with_timestamps:!0}),u="�";let c=[],p=[],a=[],h=[],f=[],l=0;for(let s=0;s=this.model.tokens_to_ids.get("<|endoftext|>"),i=s.startsWith(" "),d=s.trim(),g=f.test(d);if(r||i||g||p.length===0)p.push(s),a.push(t),h.push(e);else{const m=p.length-1;p[m]+=s,a[m].push(...t),h[m].push(...e)}}return[p,a,h]}mergePunctuations(n,o,u,c,p){let a=structuredClone(n),h=structuredClone(o),f=structuredClone(u),l=a.length-2,s=a.length-1;for(;l>=0;)a[l].startsWith(" ")&&c.includes(a[l].trim())?(a[s]=a[l]+a[s],h[s]=mergeArrays(h[l],h[s]),f[s]=mergeArrays(f[l],f[s]),a[l]="",h[l]=[],f[l]=[]):s=l,--l;for(l=0,s=1;st),h.filter(t=>t.length>0),f.filter(t=>t.length>0)]}get_decoder_prompt_ids({language:n=null,task:o=null,no_timestamps:u=!0}={}){let c=[];if(n){n=n.toLowerCase();let p=WHISPER_TO_LANGUAGE_CODE_MAPPING.get(n);if(p===void 0)if(WHISPER_LANGUAGE_MAPPING.has(n))p=n;else{const f=n.length===2?WHISPER_LANGUAGE_MAPPING.keys():WHISPER_LANGUAGE_MAPPING.values();throw new Error(`Language "${n}" is not supported. Must be one of: ${JSON.stringify(f)}`)}let a=this.model.tokens_to_ids.get(`<|${p}|>`);if(a===void 0)throw new Error(`Unable to find language "${p}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);c.push(a)}else c.push(null);if(o){if(o=o.toLowerCase(),o!=="transcribe"&&o!=="translate")throw new Error(`Task "${o}" is not supported. Must be one of: ["transcribe", "translate"]`);let p=this.model.tokens_to_ids.get(`<|${o}|>`);if(p===void 0)throw new Error(`Unable to find task "${o}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);c.push(p)}else c.push(null);if(u){let p=this.model.tokens_to_ids.get("<|notimestamps|>");if(p===void 0)throw new Error('Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.');c.push(p)}return c.map((p,a)=>[a+1,p]).filter(p=>p[1]!==null)}}class CodeGenTokenizer extends PreTrainedTokenizer{}class CLIPTokenizer extends PreTrainedTokenizer{}class MarianTokenizer extends PreTrainedTokenizer{constructor(n,o){super(n,o),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(u=>this.languageRegex.test(u)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(n){if(n===null)return null;let[o,...u]=n.trim().split(this.languageRegex);if(u.length===0)return super._encode_text(o);if(u.length===2){let[c,p]=u;return this.supported_language_codes.includes(c)||console.warn(`Unsupported language code "${c}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),mergeArrays([c],super._encode_text(p))}}}class Wav2Vec2CTCTokenizer extends PreTrainedTokenizer{}class AutoTokenizer{static async from_pretrained(n,{quantized:o=!0,progress_callback:u=null,config:c=null,cache_dir:p=null,local_files_only:a=!1,revision:h="main"}={}){let[f,l]=await loadTokenizer(n,{quantized:o,progress_callback:u,config:c,cache_dir:p,local_files_only:a,revision:h}),s=l.tokenizer_class.replace(/Fast$/,""),t=this.TOKENIZER_CLASS_MAPPING[s];return t||(console.warn(`Unknown tokenizer class "${s}", attempting to construct from base class.`),t=PreTrainedTokenizer),new t(f,l)}}ve(AutoTokenizer,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer,DistilBertTokenizer,DebertaTokenizer,DebertaV2Tokenizer,BertTokenizer,MobileBertTokenizer,SqueezeBertTokenizer,AlbertTokenizer,GPT2Tokenizer,BartTokenizer,RobertaTokenizer,WhisperTokenizer,CodeGenTokenizer,CLIPTokenizer,MarianTokenizer,BloomTokenizer,NllbTokenizer,M2M100Tokenizer,LlamaTokenizer,XLMRobertaTokenizer,MPNetTokenizer,FalconTokenizer,GPTNeoXTokenizer,Wav2Vec2CTCTokenizer,PreTrainedTokenizer});async function loadConfig(b,n){return await getModelJSON(b,"config.json",!0,n)}class PretrainedConfig{constructor(n){this.model_type=null,this.is_encoder_decoder=!1,Object.assign(this,n)}static async from_pretrained(n,{progress_callback:o=null,config:u=null,cache_dir:c=null,local_files_only:p=!1,revision:a="main"}={}){let h=u??await loadConfig(n,{progress_callback:o,config:u,cache_dir:c,local_files_only:p,revision:a});return new this(h)}}class AutoConfig{static async from_pretrained(...n){return PretrainedConfig.from_pretrained(...n)}}class LogitsProcessorList extends Callable{constructor(){super(),this.processors=[]}push(n){this.processors.push(n)}extend(n){this.processors.push(...n)}_call(n,o){for(let u of o)this.processors.forEach(c=>c(n,u))}[Symbol.iterator](){return this.processors.values()}}class LogitsProcessor extends Callable{_call(n,o){throw Error("`_call` should be implemented in a subclass")}}class ForceTokensLogitsProcessor extends LogitsProcessor{constructor(n){super(),this.force_token_map=Object.fromEntries(n??[])}_call(n,o){let u=this.force_token_map[n.length];return exists(u)&&(o.data.fill(-1/0),o.data[u]=0),o}}class ForcedBOSTokenLogitsProcessor extends LogitsProcessor{constructor(n){super(),this.bos_token_id=n}_call(n,o){return n.length===1&&(o.data.fill(-1/0),o.data[this.bos_token_id]=0),o}}class ForcedEOSTokenLogitsProcessor extends LogitsProcessor{constructor(n,o){super(),this.max_length=n,this.forced_eos_token_id=o}_call(n,o){}}class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor{constructor(n,o){super(),this.begin_suppress_tokens=n,this.begin_index=o}_call(n,o){if(n.length===this.begin_index)for(let u of this.begin_suppress_tokens)o.data[u]=-1/0;return o}}class WhisperTimeStampLogitsProcessor extends LogitsProcessor{constructor(n){super(),this.eos_token_id=n.eos_token_id,this.no_timestamps_token_id=n.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=(n.forced_decoder_ids||[]).length+2,n.forced_decoder_ids.slice(-1)[0][1]===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=n.max_initial_timestamp_index}_call(n,o){if(o.data[this.no_timestamps_token_id]=-1/0,n.length===this.begin_index-1)return o.data.fill(-1/0),o.data[this.timestamp_begin]=0,o;const u=n.slice(this.begin_index),c=u.length>=1&&u[u.length-1]>=this.timestamp_begin,p=u.length<2||u[u.length-2]>=this.timestamp_begin;if(c&&(p?o.data.subarray(this.timestamp_begin).fill(-1/0):o.data.subarray(0,this.eos_token_id).fill(-1/0)),n.length===this.begin_index&&this.max_initial_timestamp_index!==null){const l=this.timestamp_begin+this.max_initial_timestamp_index;o.data.subarray(l+1).fill(-1/0)}const a=log_softmax(o.data),h=Math.log(a.subarray(this.timestamp_begin).map(Math.exp).reduce((l,s)=>l+s)),f=max(a.subarray(0,this.timestamp_begin))[0];return h>f&&o.data.subarray(0,this.timestamp_begin).fill(-1/0),o}}class NoRepeatNGramLogitsProcessor extends LogitsProcessor{constructor(n){super(),this.no_repeat_ngram_size=n}getNgrams(n){const o=n.length,u=[];for(let p=0;p0&&(c=c.map(p=>p/this.generation_config.temperature)),c}randomSelect(n){let o=n.reduce((c,p)=>c+p,0),u=Math.random()*o;for(let c=0;c1)return new BeamSearchSampler(n);if(n.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${n.num_return_sequences}.`);return new GreedySampler(n)}}class GreedySampler extends Sampler{sample(n,o=-1){let u=this.getLogits(n,o);return[[max(u)[1],0]]}}class MultinomialSampler extends Sampler{sample(n,o=-1){let u=n.dims.at(-1);this.generation_config.top_k>0&&(u=Math.min(this.generation_config.top_k,u));const c=this.getLogits(n,o),p=getTopItems(c,u),a=softmax(p.map(h=>h[1]));return Array.from({length:this.generation_config.num_beams},()=>{const h=this.randomSelect(a);return[p[h][0],Math.log(a[h])]})}}class BeamSearchSampler extends Sampler{sample(n,o=-1){let u=n.dims.at(-1);this.generation_config.top_k>0&&(u=Math.min(this.generation_config.top_k,u));const c=this.getLogits(n,o),p=getTopItems(c,u),a=softmax(p.map(h=>h[1]));return Array.from({length:this.generation_config.num_beams},(h,f)=>[p[f][0],Math.log(a[f])])}}const{InferenceSession,Tensor:ONNXTensor}=ONNX;class ModelType{}class EncoderOnlyModelType extends ModelType{}class EncoderDecoderModelType extends ModelType{}class Seq2SeqModelType extends EncoderDecoderModelType{}class DecoderOnlyModelType extends ModelType{}const MODEL_TYPE_MAPPING=new Map([["CLIPTextModelWithProjection",EncoderOnlyModelType],["CLIPVisionModelWithProjection",EncoderOnlyModelType]]);async function forward(b,n){return MODEL_TYPE_MAPPING.get(b.constructor.name)===DecoderOnlyModelType?await decoderForward(b,n):await encoderForward(b,n)}async function constructSession(b,n,o){let u=`onnx/${n}${o.quantized?"_quantized":""}.onnx`,c=await getModelFile(b,u,!0,o);try{return await InferenceSession.create(c,{executionProviders})}catch(p){if(executionProviders.length===1&&executionProviders[0]==="wasm")throw p;return console.warn(p),console.warn("Something went wrong during model construction (most likely a missing operation). Using `wasm` as a fallback. "),await InferenceSession.create(c,{executionProviders:["wasm"]})}}async function validateInputs(b,n){const o={},u=[];for(let a of b.inputNames)n[a]===void 0?u.push(a):o[a]=n[a];if(u.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${u.join(", ")}.`);const c=Object.keys(n).length,p=b.inputNames.length;if(c>p){let a=Object.keys(n).filter(h=>!b.inputNames.includes(h));console.warn(`WARNING: Too many inputs were provided (${c} > ${p}). The following inputs will be ignored: "${a.join(", ")}".`)}return o}async function sessionRun(b,n){const o=await validateInputs(b,n);try{let u=await b.run(o);return u=replaceTensors(u),u}catch(u){throw console.error(`An error occurred during model execution: "${u}".`),console.error("Inputs given to model:",o),u}}function replaceTensors(b){for(let n in b)b[n]instanceof ONNXTensor?b[n]=new Tensor(b[n]):typeof b[n]=="object"&&replaceTensors(b[n]);return b}function toI64Tensor(b){if(b instanceof Tensor)return b;if(b.length===0)throw Error("items must be non-empty");if(Array.isArray(b[0])){if(b.some(n=>n.length!==b[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new Tensor("int64",BigInt64Array.from(b.flat().map(n=>BigInt(n))),[b.length,b[0].length])}else return new Tensor("int64",BigInt64Array.from(b.map(n=>BigInt(n))),[1,b.length])}function prepareAttentionMask(b,n){let o=b.config.pad_token_id??null,u=b.config.eos_token_id??null;isIntegralNumber(u)&&(u=[u]);let c=n.indexOf(o)!==-1,p=u===null||!u.includes(o);if(c&&p){let a=BigInt64Array.from(n.data.map(h=>h!=o));return new Tensor("int64",a,n.dims)}else return new Tensor("int64",new BigInt64Array(n.data.length).fill(1n),n.dims)}function boolTensor(b){return new Tensor("bool",[b],[1])}async function seq2seqForward(b,n,{add_decoder_pkv:o=!0}={}){let{encoder_outputs:u,past_key_values:c}=n;u||(u=(await encoderForward(b,n)).last_hidden_state);let p={input_ids:n.decoder_input_ids,encoder_hidden_states:u,use_cache_branch:boolTensor(!!c)};b.decoder_merged_session.inputNames.includes("encoder_attention_mask")&&(p.encoder_attention_mask=n.attention_mask),b.addPastKeyValues(p,c,o);const a=await sessionRun(b.decoder_merged_session,p);let h=a.logits;c=b.getPastKeyValues(a,c);const f=b.getAttentions(a);return new Seq2SeqLMOutput({logits:h,past_key_values:c,encoder_outputs:u,...f})}function seq2seqStartBeams(b,n,o,u=!0){let c=[],p=0,a=b.config.decoder_start_token_id;Array.isArray(a)||(a=[a]);for(let h of n){h.dims=[1,...h.dims];let f={inputs:h,encoder_outputs:null,prev_model_outputs:null,output_token_ids:a,done:!1,score:0,id:p++};u&&(f.attention_mask=prepareAttentionMask(b,h)),c.push(f)}return c}async function seq2seqRunBeam(b,n,{input_name:o="input_ids"}={}){var p;let u={[o]:n.inputs,decoder_input_ids:toI64Tensor(n.output_token_ids.slice(-1)),encoder_outputs:n.encoder_outputs,past_key_values:(p=n.prev_model_outputs)==null?void 0:p.past_key_values};n.attention_mask&&(u.attention_mask=n.attention_mask);let c=await b.forward(u);return n.prev_model_outputs=c,n.encoder_outputs=c.encoder_outputs,c}async function encoderForward(b,n){let o={};for(let u of b.session.inputNames)o[u]=n[u];return await sessionRun(b.session,o)}async function decoderForward(b,n){let{input_ids:o,past_key_values:u,attention_mask:c}=n,p={input_ids:o,attention_mask:c??prepareAttentionMask(b,o),use_cache_branch:boolTensor(u!==null)};b.addPastKeyValues(p,u);let a=await sessionRun(b.session,p),h=a.logits;return u=b.getPastKeyValues(a,u),{logits:h,past_key_values:u}}function decoderStartBeams(b,n,o,u){let c=[],p=0;for(let a of n){let h=a.tolist().map(Number);a.dims=[1,...a.dims];let f;u?(f=u[p],f.dims=[1,...f.dims]):f=prepareAttentionMask(b,a);let l={input:a,model_input_ids:a,attention_mask:f,prev_model_outputs:null,output_token_ids:h,num_output_tokens:o,done:!1,score:0,id:p++};c.push(l)}return c}async function decoderRunBeam(b,n){var p;let o=new BigInt64Array(n.output_token_ids.length).fill(1n),u={input_ids:n.model_input_ids,attention_mask:new Tensor("int64",o,[1,o.length]),past_key_values:(p=n.prev_model_outputs)==null?void 0:p.past_key_values},c=await b.forward(u);return n.prev_model_outputs=c,c}function decoderUpdatebeam(b,n){b.output_token_ids=[...b.output_token_ids,n],b.model_input_ids=new Tensor("int64",[BigInt(n)],[1,1])}class PreTrainedModel extends Callable{constructor(n,o){super(),this.config=n,this.session=o}async dispose(){let n=[];for(let o of Object.keys(this)){let u=this[o];u instanceof InferenceSession&&n.push(u.handler.dispose())}return await Promise.all(n)}static async from_pretrained(n,{quantized:o=!0,progress_callback:u=null,config:c=null,cache_dir:p=null,local_files_only:a=!1,revision:h="main",model_file_name:f=null}={}){let l={quantized:o,progress_callback:u,config:c,cache_dir:p,local_files_only:a,revision:h,model_file_name:f},s=MODEL_TYPE_MAPPING.get(this.name),t;return s===DecoderOnlyModelType?t=await Promise.all([AutoConfig.from_pretrained(n,l),constructSession(n,l.model_file_name??"decoder_model_merged",l)]):s===Seq2SeqModelType?t=await Promise.all([AutoConfig.from_pretrained(n,l),constructSession(n,"encoder_model",l),constructSession(n,"decoder_model_merged",l),getModelJSON(n,"generation_config.json",!1,l)]):s===EncoderDecoderModelType?t=await Promise.all([AutoConfig.from_pretrained(n,l),constructSession(n,"encoder_model",l),constructSession(n,"decoder_model_merged",l)]):(s!==EncoderOnlyModelType&&console.warn(`Model type for ${this.name} not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),t=await Promise.all([AutoConfig.from_pretrained(n,l),constructSession(n,l.model_file_name??"model",l)])),new this(...t)}async _call(n){return await this.forward(n)}async forward(n){return await forward(this,n)}_get_logits_processor(n,o,u=null){const c=new LogitsProcessorList;if(n.repetition_penalty!==null&&n.repetition_penalty!==1&&c.push(new RepetitionPenaltyLogitsProcessor(n.repetition_penalty)),n.no_repeat_ngram_size!==null&&n.no_repeat_ngram_size>0&&c.push(new NoRepeatNGramLogitsProcessor(n.no_repeat_ngram_size)),n.forced_bos_token_id!==null&&c.push(new ForcedBOSTokenLogitsProcessor(n.forced_bos_token_id)),n.forced_eos_token_id!==null&&c.push(new ForcedEOSTokenLogitsProcessor(n.max_length,n.forced_eos_token_id)),n.begin_suppress_tokens!==null){let p=o>1||n.forced_bos_token_id===null?o:o+1;n.forced_decoder_ids!==null&&(p+=n.forced_decoder_ids[n.forced_decoder_ids.length-1][0]),c.push(new SuppressTokensAtBeginLogitsProcessor(n.begin_suppress_tokens,p))}return n.forced_decoder_ids!==null&&c.push(new ForceTokensLogitsProcessor(n.forced_decoder_ids)),u!==null&&c.extend(u),c}_get_generation_config(n){let o=new GenerationConfig;return"generation_config"in this&&Object.assign(o,this.generation_config),n!==null&&Object.assign(o,n),o}async generate(n,o=null,u=null,{inputs_attention_mask:c=null}={}){if(!(n instanceof Tensor)&&!isTypedArray(n)&&!Array.isArray(n))throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${n.constructor.name}".`);let p;if(this.config.is_encoder_decoder)p=0;else if(p=n instanceof Tensor?n.dims[0]:n.length,p===0)throw Error("Must supply a non-empty array of input token ids.");o=this._get_generation_config(o),u=u??new LogitsProcessorList,u=this._get_logits_processor(o,p,u);let a=1;const h=a+(o.max_new_tokens??1/0),f=Number.isInteger(o.max_length)&&(o.max_new_tokens??null)===null;let l=Sampler.getSampler(o),s=this.getStartBeams(n,a,c);for(;s.some(i=>!i.done)&&a=o.max_length){d.done=!0,i.push(d);continue}let g=await this.runBeam(d);o.output_attentions&&this.addAttentionsToBeam(d,g),o.output_scores;let m=g.logits.slice(null,-1,null);u(d.output_token_ids,m);let _=l(m);for(let[y,w]of _){let v={...d};this.updateBeam(v,y),v.score+=w,y===this.config.eos_token_id&&(v.done=!0),i.push(v)}}++a,i=this.groupBeams(i).map(d=>d.sort((g,m)=>m.score-g.score).slice(0,o.num_beams)),s=i.flat(),o.callback_function&&o.callback_function(s)}const t=this.groupBeams(s),e=i=>t.map(d=>o.num_return_sequences>1?d.slice(0,o.num_return_sequences).map(g=>g[i]):[d[0][i]]).flat(),r=e("output_token_ids");if(o.return_dict_in_generate){const i=e("decoder_attentions"),d=e("cross_attentions");return{sequences:r,decoder_attentions:i,cross_attentions:d}}else return r}addAttentionsToBeam(n,o){if(this.config.is_encoder_decoder){if(!o.cross_attentions||o.cross_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.");n.cross_attentions||(n.cross_attentions=[]),n.cross_attentions.push(o.cross_attentions)}if(!o.decoder_attentions||o.decoder_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.");n.decoder_attentions||(n.decoder_attentions=[]),n.decoder_attentions.push(o.decoder_attentions)}groupBeams(n){const o=Object.create(null);for(const u of n)o[u.id]===void 0?o[u.id]=[u]:o[u.id].push(u);return Object.values(o)}getPastKeyValues(n,o){const u=Object.create(null);for(const c in n)if(c.startsWith("present")){let p=c.replace("present","past_key_values");o&&c.includes("encoder")?u[p]=o[p]:u[p]=n[c]}return u}getAttentions(n){const o=Object.create(null);for(const u of["cross_attentions","decoder_attentions"]){const c=[];for(const p in n)if(p.startsWith(u)){const a=p.split(".").pop();c[a]=n[p]}o[u]=c}return o}addPastKeyValues(n,o,u=!1){if(o)Object.assign(n,o);else if(u){let c=[1,this.num_encoder_heads,0,this.encoder_dim_kv];for(let a=0;a{let s=Array.from({length:this.config.decoder_layers},(g,m)=>cat(l.map(_=>_[m]),2)),t=stack(o.map(([g,m])=>u?s[g].slice(null,m,null,[0,u]):s[g].slice(null,m)));t=t.transpose(1,0,2,3);let[e,r]=std_mean(t,-2,0,!0),i=t.clone();for(let g=0;gt[m+1]-t[m]),i=mergeArrays([1],r).map(g=>!!g),d=[];for(let g=0;g{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(b,n)},loadImageFunction=self.createImageBitmap,ImageDataClass=self.ImageData;else if(sharp)loadImageFunction=async b=>{const o=(await b.metadata()).channels;let{data:u,info:c}=await b.raw().toBuffer({resolveWithObject:!0});const p=new RawImage(new Uint8ClampedArray(u),c.width,c.height,c.channels);return o!==void 0&&o!==c.channels&&p.convert(o),p};else throw new Error("Unable to load image processing library.");const RESAMPLING_MAPPING={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"};class RawImage{constructor(n,o,u,c){ve(this,"_CONTENT_TYPE_MAP",{png:"image/png",jpg:"image/jpeg",jpeg:"image/jpeg",gif:"image/gif"});this._update(n,o,u,c)}static async read(n){if(n instanceof RawImage)return n;if(isString(n)||n instanceof URL)return await this.fromURL(n);throw new Error(`Unsupported input type: ${typeof n}`)}static async fromURL(n){let o=await getFile(n);if(o.status!==200)throw new Error(`Unable to read image from "${n}" (${o.status} ${o.statusText})`);let u=await o.blob();return this.fromBlob(u)}static async fromBlob(n){if(BROWSER_ENV){let o=await loadImageFunction(n);const u=createCanvasFunction(o.width,o.height).getContext("2d");return u.drawImage(o,0,0),new this(u.getImageData(0,0,o.width,o.height).data,o.width,o.height,4)}else{let o=sharp(await n.arrayBuffer());return await loadImageFunction(o)}}grayscale(){if(this.channels===1)return this;let n=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let o=0,u=0;o=0?f=u:s=-u,c>=0?l=c:t=-c,h.drawImage(a,f,l,n,o,s,t,n,o),new RawImage(h.getImageData(0,0,n,o).data,n,o,4).convert(p)}else{let p=this.toSharp();if(u>=0&&c>=0)p=p.extract({left:Math.floor(u),top:Math.floor(c),width:n,height:o});else if(u<=0&&c<=0){let a=Math.floor(-c),h=Math.floor(-u);p=p.extend({top:a,left:h,right:n-this.width-h,bottom:o-this.height-a})}else{let a=[0,0],h=0;c<0?(a[0]=Math.floor(-c),a[1]=o-this.height-a[0]):h=Math.floor(c);let f=[0,0],l=0;u<0?(f[0]=Math.floor(-u),f[1]=n-this.width-f[0]):l=Math.floor(u),p=p.extend({top:a[0],bottom:a[1],left:f[0],right:f[1]}).extract({left:l,top:h,width:n,height:o})}return await loadImageFunction(p)}}toCanvas(){if(!BROWSER_ENV)throw new Error("toCanvas() is only supported in browser environments.");let n=this.clone().rgba(),o=createCanvasFunction(n.width,n.height),u=new ImageDataClass(n.data,n.width,n.height);return o.getContext("2d").putImageData(u,0,0),o}_update(n,o,u,c=null){return this.data=n,this.width=o,this.height=u,c!==null&&(this.channels=c),this}clone(){return new RawImage(this.data.slice(),this.width,this.height,this.channels)}convert(n){if(this.channels===n)return this;switch(n){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}save(n){if(BROWSER_ENV){const o=n.split(".").pop().toLowerCase(),u=this._CONTENT_TYPE_MAP[o]??"image/png",p=this.toCanvas().toDataURL(u),a=document.createElement("a");a.href=p,a.download=n,a.click(),a.remove()}else if(env.useFS)this.toSharp().toFile(n);else throw new Error("Unable to save the image because filesystem is disabled in this environment.")}toSharp(){if(BROWSER_ENV)throw new Error("toSharp() is only supported in server-side environments.");return sharp(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}async function read_audio(b,n){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const o=await(await getFile(b)).arrayBuffer(),u=new AudioContext({sampleRate:n});typeof n>"u"&&console.warn(`No sampling rate provided, using default of ${u.sampleRate}Hz.`);const c=await u.decodeAudioData(o);let p;if(c.numberOfChannels===2){const a=Math.sqrt(2);let h=c.getChannelData(0),f=c.getChannelData(1);p=new Float32Array(h.length);for(let l=0;l=i?e[_]=r*Math.exp(d*(y-i)):e[_]=s+t*y,g[_]=p.map(w=>e[_]-w)}const m=e.slice(1).map((_,y)=>1/(_-e[y]));for(let _=0;_this.preprocess(c)));return o.forEach(c=>c.pixel_values.dims=[1,...c.pixel_values.dims]),{pixel_values:cat(o.map(c=>c.pixel_values)),original_sizes:o.map(c=>c.original_size),reshaped_input_sizes:o.map(c=>c.reshaped_input_size)}}}class ViTFeatureExtractor extends ImageFeatureExtractor{}class MobileViTFeatureExtractor extends ImageFeatureExtractor{}class DetrFeatureExtractor extends ImageFeatureExtractor{async _call(n){let o=await super._call(n),u=[o.pixel_values.dims[0],64,64];return o.pixel_mask=new Tensor("int64",new BigInt64Array(u.reduce((c,p)=>c*p)).fill(1n),u),o}center_to_corners_format([n,o,u,c]){return[n-u/2,o-c/2,n+u/2,o+c/2]}post_process_object_detection(n,o=.5,u=null){const c=n.logits,p=n.pred_boxes,[a,h,f]=c.dims;if(u!==null&&u.length!==a)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let l=[];for(let s=0;so){let w=i[d].data;w=this.center_to_corners_format(w),t!==null&&(w=w.map((v,S)=>v*t[(S+1)%2])),e.boxes.push(w),e.classes.push(m),e.scores.push(y)}}l.push(e)}return l}remove_low_and_no_objects(n,o,u,c){let p=[],a=[],h=[];for(let f=0;fu&&(p.push(s),a.push(r),h.push(t))}return[p,a,h]}check_segment_validity(n,o,u,c=.5,p=.8){let a=[],h=0,f=0;for(let s=0;s=c&&++f;let l=h>0&&f>0;return l&&(l=h/f>p),[l,a]}compute_segments(n,o,u,c,p,a=null,h=null){let[f,l]=h??n[0].dims,s=new Tensor("int32",new Int32Array(f*l),[f,l]),t=[];if(h!==null)for(let d=0;dr[m]&&(e[m]=d,r[m]=n[d].data[m])}let i=0;for(let d=0;dBigInt(Math.round(f)))),a);return{pixel_values:u,original_sizes:c,reshaped_input_sizes:p,input_points:h}}post_process_masks(n,o,u,{mask_threshold:c=0,binarize:p=!0,pad_size:a=null}={}){let h=[];a=a??this.pad_size;let f=[a.height,a.width];for(let l=0;l_>c),m.dims)),m.dims=[1,...m.dims],r.push(m)}let i=cat(r);h.push(i)}return h}}class WhisperFeatureExtractor extends FeatureExtractor{constructor(n){var o;super(n),(o=this.config).mel_filters??(o.mel_filters=getMelFilters(this.config.sampling_rate,this.config.n_fft,this.config.feature_size))}calcOffset(n,o){return Math.abs((n+o)%(2*o)-o)}padReflect(n,o,u){const c=new Float32Array(n.length+o+u),p=n.length-1;for(let a=0;a>1;++v){const S=(v+1-u)**2/2,A=Math.sqrt(m**2+_**2)**S,O=S*Math.atan2(_,m);let x=2*v;l[x]=A*Math.cos(O),l[x+1]=A*Math.sin(O),s[x]=l[x],s[x+1]=-l[x+1]}const y=l.subarray(c,p),w=new FFT(a>>1);w.transform(r,s);for(let v=0;v>1,N=S[I]*o[I];t[O]=N*y[O],t[x]=N*y[x]}w.transform(i,t);for(let O=0;Oc?a-c:0,l=a>1,l=new Float32Array(h*f);for(let m=0;mthis.config.n_samples&&console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`.");let o=n.slice(0,this.config.n_samples),u=this._extract_fbank_features(o);return{input_features:new Tensor("float32",u.data,[1,...u.dims])}}}class Wav2Vec2FeatureExtractor extends FeatureExtractor{_zero_mean_unit_var_norm(n){const u=n.reduce((p,a)=>p+a,0)/n.length,c=n.reduce((p,a)=>p+(a-u)**2,0)/n.length;return n.map(p=>(p-u)/Math.sqrt(c+1e-7))}async _call(n){var c;if(!(n instanceof Float32Array||n instanceof Float64Array))throw new Error(`Wav2Vec2FeatureExtractor expects input to be a Float32Array or a Float64Array, but got ${((c=n==null?void 0:n.constructor)==null?void 0:c.name)??typeof n} instead.If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`);n instanceof Float64Array&&(n=new Float32Array(n));let o=n;this.config.do_normalize&&(o=this._zero_mean_unit_var_norm(o));const u=[1,o.length];return{input_values:new Tensor("float32",o,u),attention_mask:new Tensor("int64",new BigInt64Array(o.length).fill(1n),u)}}}class Processor extends Callable{constructor(n){super(),this.feature_extractor=n}async _call(n){return await this.feature_extractor(n)}}class SamProcessor extends Processor{async _call(n,o){return await this.feature_extractor(n,o)}post_process_masks(...n){return this.feature_extractor.post_process_masks(...n)}}class WhisperProcessor extends Processor{async _call(n){return await this.feature_extractor(n)}}class Wav2Vec2ProcessorWithLM extends Processor{async _call(n){return await this.feature_extractor(n)}}class AutoProcessor{static async from_pretrained(n,{progress_callback:o=null,config:u=null,cache_dir:c=null,local_files_only:p=!1,revision:a="main"}={}){let h=u??await getModelJSON(n,"preprocessor_config.json",!0,{progress_callback:o,config:u,cache_dir:c,local_files_only:p,revision:a}),f=h.feature_extractor_type??h.image_processor_type,l=this.FEATURE_EXTRACTOR_CLASS_MAPPING[f];if(!l)if(h.size!==void 0)console.warn("Feature extractor type not specified, assuming ImageFeatureExtractor due to size parameter in config."),l=ImageFeatureExtractor;else throw new Error(`Unknown Feature Extractor type: ${h.feature_extractor_type}`);let s=this.PROCESSOR_CLASS_MAPPING[h.processor_class]??Processor,t=new l(h);return new s(t)}}ve(AutoProcessor,"FEATURE_EXTRACTOR_CLASS_MAPPING",{WhisperFeatureExtractor,ViTFeatureExtractor,MobileViTFeatureExtractor,DetrFeatureExtractor,SamImageProcessor,Wav2Vec2FeatureExtractor}),ve(AutoProcessor,"PROCESSOR_CLASS_MAPPING",{WhisperProcessor,Wav2Vec2ProcessorWithLM,SamProcessor});async function prepareImages(b){return Array.isArray(b)||(b=[b]),b=await Promise.all(b.map(n=>RawImage.read(n))),b}class Pipeline extends Callable{constructor({task:n,model:o,tokenizer:u=null,processor:c=null}){super(),this.task=n,this.model=o,this.tokenizer=u,this.processor=c}async dispose(){await this.model.dispose()}async _call(n){let o=this.tokenizer(n,{padding:!0,truncation:!0}),u=await this.model(o);return[o,u]}}class TextClassificationPipeline extends Pipeline{async _call(n,{topk:o=1}={}){let u=this.model.config.problem_type==="multi_label_classification"?f=>f.sigmoid().data:f=>softmax(f.data),[c,p]=await super._call(n),a=this.model.config.id2label,h=[];for(let f of p.logits){let l=u(f),t=getTopItems(l,o).map(function(e){return{label:a[e[0]],score:e[1]}});o===1?h.push(...t):h.push(t)}return Array.isArray(n)||o===1?h:h[0]}}class TokenClassificationPipeline extends Pipeline{async _call(n,{ignore_labels:o=["O"]}={}){let u=Array.isArray(n);u||(n=[n]);let c=this.tokenizer,[p,a]=await super._call(n),h=a.logits,f=this.model.config.id2label,l=[];for(let s=0;s[r,i]).filter(r=>r[1]>l),t=Array.from(softmax(p.end_logits[h].data)).map((r,i)=>[r,i]).filter(r=>r[1]>l),e=product(s,t).filter(r=>r[0][1]<=r[1][1]).map(r=>[r[0][1],r[1][1],r[0][0]*r[1][0]]).sort((r,i)=>i[2]-r[2]);for(let r=0;r{let i=[...f];return i[l]=r[0],{score:r[1],token:r[0],token_str:p.model.vocab[r[0]],sequence:p.decode(i,{skip_special_tokens:!0})}}))}return Array.isArray(n)?a:a[0]}}class Text2TextGenerationPipeline extends Pipeline{constructor(){super(...arguments);ve(this,"_key",null)}async _call(o,u={}){Array.isArray(o)||(o=[o]),this.model.config.prefix&&(o=o.map(l=>this.model.config.prefix+l));let c=this.model.config.task_specific_params;c&&c[this.task]&&c[this.task].prefix&&(o=o.map(l=>c[this.task].prefix+l));let p={padding:!0,truncation:!0},a;this instanceof TranslationPipeline&&"_build_translation_inputs"in this.tokenizer?a=this.tokenizer._build_translation_inputs(o,p,u).input_ids:a=this.tokenizer(o,p).input_ids;let h=await this.model.generate(a,u),f=this.tokenizer.batch_decode(h,{skip_special_tokens:!0});return this._key!==null&&(f=f.map(l=>this._key===null?l:{[this._key]:l})),f}}class SummarizationPipeline extends Text2TextGenerationPipeline{constructor(){super(...arguments);ve(this,"_key","summary_text")}}class TranslationPipeline extends Text2TextGenerationPipeline{constructor(){super(...arguments);ve(this,"_key","translation_text")}}class TextGenerationPipeline extends Pipeline{async _call(n,o={}){let u=typeof n=="string"||n instanceof String;u&&(n=[n]),this.tokenizer.padding_side="left";let c=this.tokenizer(n,{padding:!0,truncation:!0}),p=c.input_ids,a=c.attention_mask,h=await this.model.generate(p,o,null,{inputs_attention_mask:a});const f=this.tokenizer.batch_decode(h,{skip_special_tokens:!0}),l=Array.from({length:n.length},s=>[]);for(let s=0;s[o.toLowerCase(),u])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(n,o,{hypothesis_template:u="This example is {}.",multi_label:c=!1}={}){let p=Array.isArray(n);p||(n=[n]),Array.isArray(o)||(o=[o]);let a=o.map(l=>u.replace("{}",l)),h=c||o.length===1,f=[];for(let l of n){let s=[];for(let r of a){let i=this.tokenizer(l,{text_pair:r,padding:!0,truncation:!0}),d=await this.model(i);h?s.push([d.logits.data[this.contradiction_id],d.logits.data[this.entailment_id]]):s.push(d.logits.data[this.entailment_id])}let t;h?t=s.map(r=>softmax(r)[1]):t=softmax(s);let e=t.map((r,i)=>[r,i]).sort((r,i)=>i[0]-r[0]);f.push({sequence:l,labels:e.map(r=>o[r[1]]),scores:e.map(r=>r[0])})}return p?f:f[0]}}class FeatureExtractionPipeline extends Pipeline{async _call(n,{pooling:o="none",normalize:u=!1}={}){let[c,p]=await super._call(n),a=p.last_hidden_state??p.logits;if(o!=="none")if(o==="mean")a=mean_pooling(a,c.attention_mask);else throw Error(`Pooling method '${o}' not supported.`);return u&&(a=a.normalize(2,-1)),a}}class AudioClassificationPipeline extends Pipeline{constructor(n){super(n)}async _preprocess(n,o){return isString(n)&&(n=await read_audio(n,o)),n}async _call(n,{topk:o=5}={}){let u=!Array.isArray(n);u&&(n=[n]);const c=this.model.config.id2label,p=this.processor.feature_extractor.config.sampling_rate;let a=[];for(let h of n){h=await this._preprocess(h,p);const f=await this.processor(h),s=(await this.model(f)).logits[0];let e=getTopItems(softmax(s.data),o).map(function(r){return{label:c[r[0]],score:r[1]}});o===1?a.push(...e):a.push(e)}return!u||o===1?a:a[0]}}class AutomaticSpeechRecognitionPipeline extends Pipeline{constructor(n){super(n)}async _preprocess(n,o){return isString(n)&&(n=await read_audio(n,o)),n}async _call(n,o={}){switch(this.model.config.model_type){case"whisper":return this._call_whisper(n,o);case"wav2vec2":return this._call_wav2vec2(n,o);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(n,o={}){o.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),o.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let u=!Array.isArray(n);u&&(n=[n]);const c=this.processor.feature_extractor.config.sampling_rate;let p=[];for(let a of n){a=await this._preprocess(a,c);const h=await this.processor(a),l=(await this.model(h)).logits[0],s=[];for(let e of l)s.push(max(e.data)[1]);const t=this.tokenizer.decode(s);p.push({text:t})}return u?p[0]:p}async _call_whisper(n,o={}){let u=o.return_timestamps??!1,c=o.chunk_length_s??0,p=o.stride_length_s??null,a=o.chunk_callback??null,h=o.force_full_sequences??!1;u==="word"&&(o.return_token_timestamps=!0);let f=pop(o,"language",null),l=pop(o,"task",null);if(f||l||u){if(o.forced_decoder_ids)throw new Error("Cannot specify `language`/`task`/`return_timestamps` and `forced_decoder_ids` at the same time.");let d=this.tokenizer.get_decoder_prompt_ids({language:f,task:l,no_timestamps:!u});d.length>0&&(o.forced_decoder_ids=d)}let s=!Array.isArray(n);s&&(n=[n]);const t=this.processor.feature_extractor.config.sampling_rate,e=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,r=this.processor.feature_extractor.config.hop_length;let i=[];for(let d of n){d=await this._preprocess(d,t);let g=[];if(c>0){if(p===null)p=c/6;else if(c<=p)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const y=t*c,w=t*p,v=y-2*w;let S=0;for(;S=d.length;g.push({stride:[A.length,x?0:w,I?0:w],input_features:O.input_features,is_last:I}),S+=v}}else g=[{stride:[d.length,0,0],input_features:(await this.processor(d)).input_features,is_last:!0}];for(let y of g){o.num_frames=Math.floor(y.stride[0]/r);let w=await this.model.generate(y.input_features,o);u==="word"?(y.tokens=w.sequences[0],y.token_timestamps=w.token_timestamps.tolist()[0].map(v=>round(v,2))):y.tokens=w[0],y.stride=y.stride.map(v=>v/t),a!==null&&a(y)}let[m,_]=this.tokenizer._decode_asr(g,{time_precision:e,return_timestamps:u,force_full_sequences:h});i.push({text:m,..._})}return s?i[0]:i}}class ImageToTextPipeline extends Pipeline{constructor(n){super(n)}async _call(n,o={}){let u=Array.isArray(n);n=await prepareImages(n);let{pixel_values:c}=await this.processor(n),p=[];for(let a of c){a.dims=[1,...a.dims];let h=await this.model.generate(a,o),f=this.tokenizer.batch_decode(h,{skip_special_tokens:!0}).map(l=>({generated_text:l.trim()}));p.push(f)}return u?p:p[0]}}class ImageClassificationPipeline extends Pipeline{constructor(n){super(n)}async _call(n,{topk:o=1}={}){let u=Array.isArray(n);n=await prepareImages(n);let{pixel_values:c}=await this.processor(n),p=await this.model({pixel_values:c}),a=this.model.config.id2label,h=[];for(let f of p.logits){let s=getTopItems(softmax(f.data),o).map(function(t){return{label:a[t[0]],score:t[1]}});o===1?h.push(...s):h.push(s)}return u||o===1?h:h[0]}}class ImageSegmentationPipeline extends Pipeline{constructor(n){super(n),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(n,{threshold:o=.5,mask_threshold:u=.5,overlap_mask_area_threshold:c=.8,label_ids_to_fuse:p=null,target_sizes:a=null,subtask:h=null}={}){if(Array.isArray(n)&&n.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");n=await prepareImages(n);let l=n.map(d=>[d.height,d.width]),{pixel_values:s,pixel_mask:t}=await this.processor(n),e=await this.model({pixel_values:s,pixel_mask:t}),r=null;if(h!==null)r=this.subtasks_mapping[h];else for(let[d,g]of Object.entries(this.subtasks_mapping))if(g in this.processor.feature_extractor){r=this.processor.feature_extractor[g].bind(this.processor.feature_extractor),h=d;break}let i=[];if(h==="panoptic"||h==="instance"){let d=r(e,o,u,c,p,a??l)[0],g=d.segmentation,m=this.model.config.id2label;for(let _ of d.segments_info){let y=new Uint8ClampedArray(g.data.length);for(let v=0;vu.replace("{}",s)),a=this.tokenizer(p,{padding:!0,truncation:!0}),{pixel_values:h}=await this.processor(n),f=await this.model({...a,pixel_values:h}),l=[];for(let s of f.logits_per_image){let t=softmax(s.data);l.push([...t].map((e,r)=>({score:e,label:o[r]})))}return c?l:l[0]}}class ObjectDetectionPipeline extends Pipeline{constructor(n){super(n)}async _call(n,{threshold:o=.9,percentage:u=!1}={}){let c=Array.isArray(n);if(c&&n.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");n=await prepareImages(n);let p=u?null:n.map(e=>[e.height,e.width]),{pixel_values:a,pixel_mask:h}=await this.processor(n),f=await this.model({pixel_values:a,pixel_mask:h}),l=this.processor.feature_extractor.post_process_object_detection(f,o,p),s=this.model.config.id2label;const t=l.map(e=>e.boxes.map((r,i)=>({score:e.scores[i],label:s[e.classes[i]],box:this._get_bounding_box(r,!u)})));return c?t:t[0]}_get_bounding_box(n,o){o&&(n=n.map(h=>h|0));const[u,c,p,a]=n;return{xmin:u,ymin:c,xmax:p,ymax:a}}}const SUPPORTED_TASKS={"text-classification":{tokenizer:AutoTokenizer,pipeline:TextClassificationPipeline,model:AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:AutoTokenizer,pipeline:TokenClassificationPipeline,model:AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:AutoTokenizer,pipeline:QuestionAnsweringPipeline,model:AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:AutoTokenizer,pipeline:FillMaskPipeline,model:AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:AutoTokenizer,pipeline:SummarizationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:AutoTokenizer,pipeline:TranslationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:AutoTokenizer,pipeline:Text2TextGenerationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:AutoTokenizer,pipeline:TextGenerationPipeline,model:AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:AutoTokenizer,pipeline:ZeroShotClassificationPipeline,model:AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:AudioClassificationPipeline,model:AutoModelForAudioClassification,processor:AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"automatic-speech-recognition":{tokenizer:AutoTokenizer,pipeline:AutomaticSpeechRecognitionPipeline,model:[AutoModelForSeq2SeqLM,AutoModelForCTC],processor:AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"image-to-text":{tokenizer:AutoTokenizer,pipeline:ImageToTextPipeline,model:AutoModelForVision2Seq,processor:AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:ImageClassificationPipeline,model:AutoModelForImageClassification,processor:AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ImageSegmentationPipeline,model:AutoModelForImageSegmentation,processor:AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:AutoTokenizer,pipeline:ZeroShotImageClassificationPipeline,model:AutoModel,processor:AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:ObjectDetectionPipeline,model:AutoModelForObjectDetection,processor:AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"feature-extraction":{tokenizer:AutoTokenizer,pipeline:FeatureExtractionPipeline,model:AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"}},TASK_ALIASES={"sentiment-analysis":"text-classification",ner:"token-classification",vqa:"visual-question-answering",asr:"automatic-speech-recognition",embeddings:"feature-extraction"};async function pipeline(b,n=null,{quantized:o=!0,progress_callback:u=null,config:c=null,cache_dir:p=null,local_files_only:a=!1,revision:h="main"}={}){b=TASK_ALIASES[b]??b;let f=SUPPORTED_TASKS[b.split("_",1)[0]];if(!f)throw Error(`Unsupported pipeline: ${b}. Must be one of [${Object.keys(SUPPORTED_TASKS)}]`);n||(n=f.default.model,console.log(`No model specified. Using default model: "${n}".`));let l={quantized:o,progress_callback:u,config:c,cache_dir:p,local_files_only:a,revision:h};const s=new Map([["tokenizer",f.tokenizer],["model",f.model],["processor",f.processor]]);let t=await loadItems(s,n,l);t.task=b,dispatchCallback(u,{status:"ready",task:b,model:n});let e=f.pipeline;return new e(t)}async function loadItems(b,n,o){const u=Object.create(null),c=[];for(let[p,a]of b.entries()){if(!a)continue;let h;Array.isArray(a)?h=new Promise(async(f,l)=>{let s;for(let t of a)try{f(await t.from_pretrained(n,o));return}catch(e){s=e}l(s)}):h=a.from_pretrained(n,o),u[p]=h,c.push(h)}await Promise.all(c);for(let[p,a]of Object.entries(u))u[p]=await a;return u}env.allowLocalModels=!1;class PipelineFactory{constructor(n,o,u){this.tokenizer=n,this.model=o,this.quantized=u}static async getInstance(n=null){return this.instance===null&&(this.instance=pipeline(this.task,this.model,{quantized:this.quantized,progress_callback:n})),this.instance}}ve(PipelineFactory,"task",null),ve(PipelineFactory,"model",null),ve(PipelineFactory,"quantized",null),ve(PipelineFactory,"instance",null),self.addEventListener("message",async b=>{const n=b.data;let o=await transcribe(n.audio,n.model,n.multilingual,n.quantized,n.subtask,n.language);o!==null&&self.postMessage({status:"complete",task:"automatic-speech-recognition",data:o})});class AutomaticSpeechRecognitionPipelineFactory extends PipelineFactory{}ve(AutomaticSpeechRecognitionPipelineFactory,"task","automatic-speech-recognition"),ve(AutomaticSpeechRecognitionPipelineFactory,"model",null),ve(AutomaticSpeechRecognitionPipelineFactory,"quantized",null);const transcribe=async(b,n,o,u,c,p)=>{const a=`Xenova/whisper-${n}${o?"":".en"}`,h=AutomaticSpeechRecognitionPipelineFactory;(h.model!==a||h.quantized!==u)&&(h.model=a,h.quantized=u,h.instance!==null&&((await h.getInstance()).dispose(),h.instance=null));let f=await h.getInstance(i=>{self.postMessage(i)});const l=f.processor.feature_extractor.config.chunk_length/f.model.config.max_source_positions;let s=[{tokens:[],finalised:!1}];function t(i){let d=s[s.length-1];Object.assign(d,i),d.finalised=!0,i.is_last||s.push({tokens:[],finalised:!1})}function e(i){let d=s[s.length-1];d.tokens=[...i[0].output_token_ids];let g=f.tokenizer._decode_asr(s,{time_precision:l,return_timestamps:!0,force_full_sequences:!1});self.postMessage({status:"update",task:"automatic-speech-recognition",data:g})}return await f(b,{top_k:0,do_sample:!1,chunk_length_s:30,stride_length_s:5,language:p,task:c,return_timestamps:!0,force_full_sequences:!1,callback_function:e,chunk_callback:t}).catch(i=>(self.postMessage({status:"error",task:"automatic-speech-recognition",data:i}),null))}})(); diff --git a/index.html b/index.html index 5d1d327729ed61e8282ac5a7a84b16395c187b75..a99598f7ab3616172aede09a81d617d033423a59 100644 --- a/index.html +++ b/index.html @@ -5,7 +5,7 @@ Whisper Web - +