ort/ort.webgl.min.js

/*!
 * ONNX Runtime Web v1.26.0
 * Copyright (c) Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
 */
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buffer`);this.gpuBufferData=t.gpuBuffer,this.downloader=t.download,this.disposer=t.dispose;break}case"ml-tensor":{if(o!=="float32"&&o!=="float16"&&o!=="int32"&&o!=="int64"&&o!=="uint32"&&o!=="uint64"&&o!=="int8"&&o!=="uint8"&&o!=="bool"&&o!=="uint4"&&o!=="int4")throw new TypeError(`unsupported type "${o}" to create tensor from MLTensor`);this.mlTensorData=t.mlTensor,this.downloader=t.download,this.disposer=t.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let s,u;if(typeof t=="string")if(o=t,u=e,t==="string"){if(!Array.isArray(n))throw new TypeError("A string tensor's data must be a string array.");s=n}else{let l=Pe.get(t);if(l===void 0)throw new TypeError(`Unsupported tensor type: ${t}.`);if(Array.isArray(n)){if(t==="float16"&&l===Uint16Array||t==="uint4"||t==="int4")throw new TypeError(`Creating a ${t} tensor from number array is not supported. 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o=f.onnx.TypeProto.verify(e.typeProtos[i]);if(o)return"typeProtos."+o}}return null},t.fromObject=function(e){if(e instanceof f.onnx.AttributeProto)return e;var o=new f.onnx.AttributeProto;switch(e.name!=null&&(o.name=String(e.name)),e.refAttrName!=null&&(o.refAttrName=String(e.refAttrName)),e.docString!=null&&(o.docString=String(e.docString)),e.type){default:if(typeof e.type=="number"){o.type=e.type;break}break;case"UNDEFINED":case 0:o.type=0;break;case"FLOAT":case 1:o.type=1;break;case"INT":case 2:o.type=2;break;case"STRING":case 3:o.type=3;break;case"TENSOR":case 4:o.type=4;break;case"GRAPH":case 5:o.type=5;break;case"SPARSE_TENSOR":case 11:o.type=11;break;case"TYPE_PROTO":case 13:o.type=13;break;case"FLOATS":case 6:o.type=6;break;case"INTS":case 7:o.type=7;break;case"STRINGS":case 8:o.type=8;break;case"TENSORS":case 9:o.type=9;break;case"GRAPHS":case 10:o.type=10;break;case"SPARSE_TENSORS":case 12:o.type=12;break;case"TYPE_PROTOS":case 14:o.type=14;break}if(e.f!=null&&(o.f=Number(e.f)),e.i!=null&&(h.Long?(o.i=h.Long.fromValue(e.i)).unsigned=!1:typeof e.i=="string"?o.i=parseInt(e.i,10):typeof e.i=="number"?o.i=e.i:typeof e.i=="object"&&(o.i=new h.LongBits(e.i.low>>>0,e.i.high>>>0).toNumber())),e.s!=null&&(typeof e.s=="string"?h.base64.decode(e.s,o.s=h.newBuffer(h.base64.length(e.s)),0):e.s.length>=0&&(o.s=e.s)),e.t!=null){if(typeof e.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");o.t=f.onnx.TensorProto.fromObject(e.t)}if(e.g!=null){if(typeof e.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");o.g=f.onnx.GraphProto.fromObject(e.g)}if(e.sparseTensor!=null){if(typeof e.sparseTensor!="object")throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");o.sparseTensor=f.onnx.SparseTensorProto.fromObject(e.sparseTensor)}if(e.tp!=null){if(typeof e.tp!="object")throw TypeError(".onnx.AttributeProto.tp: object 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e.strings[i]=="string"?h.base64.decode(e.strings[i],o.strings[i]=h.newBuffer(h.base64.length(e.strings[i])),0):e.strings[i].length>=0&&(o.strings[i]=e.strings[i])}if(e.tensors){if(!Array.isArray(e.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");o.tensors=[];for(var i=0;i<e.tensors.length;++i){if(typeof e.tensors[i]!="object")throw TypeError(".onnx.AttributeProto.tensors: object expected");o.tensors[i]=f.onnx.TensorProto.fromObject(e.tensors[i])}}if(e.graphs){if(!Array.isArray(e.graphs))throw TypeError(".onnx.AttributeProto.graphs: array expected");o.graphs=[];for(var i=0;i<e.graphs.length;++i){if(typeof e.graphs[i]!="object")throw TypeError(".onnx.AttributeProto.graphs: object expected");o.graphs[i]=f.onnx.GraphProto.fromObject(e.graphs[i])}}if(e.sparseTensors){if(!Array.isArray(e.sparseTensors))throw TypeError(".onnx.AttributeProto.sparseTensors: array expected");o.sparseTensors=[];for(var i=0;i<e.sparseTensors.length;++i){if(typeof e.sparseTensors[i]!="object")throw TypeError(".onnx.AttributeProto.sparseTensors: object expected");o.sparseTensors[i]=f.onnx.SparseTensorProto.fromObject(e.sparseTensors[i])}}if(e.typeProtos){if(!Array.isArray(e.typeProtos))throw TypeError(".onnx.AttributeProto.typeProtos: array expected");o.typeProtos=[];for(var i=0;i<e.typeProtos.length;++i){if(typeof e.typeProtos[i]!="object")throw TypeError(".onnx.AttributeProto.typeProtos: object expected");o.typeProtos[i]=f.onnx.TypeProto.fromObject(e.typeProtos[i])}}return o},t.toObject=function(e,o){o||(o={});var i={};if((o.arrays||o.defaults)&&(i.floats=[],i.ints=[],i.strings=[],i.tensors=[],i.graphs=[],i.typeProtos=[],i.sparseTensors=[]),o.defaults){if(i.name="",i.f=0,h.Long){var a=new h.Long(0,0,!1);i.i=o.longs===String?a.toString():o.longs===Number?a.toNumber():a}else 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s=0;s<e.floats.length;++s)i.floats[s]=o.json&&!isFinite(e.floats[s])?String(e.floats[s]):e.floats[s]}if(e.ints&&e.ints.length){i.ints=[];for(var s=0;s<e.ints.length;++s)typeof e.ints[s]=="number"?i.ints[s]=o.longs===String?String(e.ints[s]):e.ints[s]:i.ints[s]=o.longs===String?h.Long.prototype.toString.call(e.ints[s]):o.longs===Number?new h.LongBits(e.ints[s].low>>>0,e.ints[s].high>>>0).toNumber():e.ints[s]}if(e.strings&&e.strings.length){i.strings=[];for(var s=0;s<e.strings.length;++s)i.strings[s]=o.bytes===String?h.base64.encode(e.strings[s],0,e.strings[s].length):o.bytes===Array?Array.prototype.slice.call(e.strings[s]):e.strings[s]}if(e.tensors&&e.tensors.length){i.tensors=[];for(var s=0;s<e.tensors.length;++s)i.tensors[s]=f.onnx.TensorProto.toObject(e.tensors[s],o)}if(e.graphs&&e.graphs.length){i.graphs=[];for(var s=0;s<e.graphs.length;++s)i.graphs[s]=f.onnx.GraphProto.toObject(e.graphs[s],o)}if(e.docString!=null&&e.hasOwnProperty("docString")&&(i.docString=e.docString),e.tp!=null&&e.hasOwnProperty("tp")&&(i.tp=f.onnx.TypeProto.toObject(e.tp,o)),e.typeProtos&&e.typeProtos.length){i.typeProtos=[];for(var s=0;s<e.typeProtos.length;++s)i.typeProtos[s]=f.onnx.TypeProto.toObject(e.typeProtos[s],o)}if(e.type!=null&&e.hasOwnProperty("type")&&(i.type=o.enums===String?f.onnx.AttributeProto.AttributeType[e.type]===void 0?e.type:f.onnx.AttributeProto.AttributeType[e.type]:e.type),e.refAttrName!=null&&e.hasOwnProperty("refAttrName")&&(i.refAttrName=e.refAttrName),e.sparseTensor!=null&&e.hasOwnProperty("sparseTensor")&&(i.sparseTensor=f.onnx.SparseTensorProto.toObject(e.sparseTensor,o)),e.sparseTensors&&e.sparseTensors.length){i.sparseTensors=[];for(var s=0;s<e.sparseTensors.length;++s)i.sparseTensors[s]=f.onnx.SparseTensorProto.toObject(e.sparseTensors[s],o)}return i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.AttributeProto"},t.AttributeType=function(){var n={},e=Object.create(n);return e[n[0]="UNDEFINED"]=0,e[n[1]="FLOAT"]=1,e[n[2]="INT"]=2,e[n[3]="STRING"]=3,e[n[4]="TENSOR"]=4,e[n[5]="GRAPH"]=5,e[n[11]="SPARSE_TENSOR"]=11,e[n[13]="TYPE_PROTO"]=13,e[n[6]="FLOATS"]=6,e[n[7]="INTS"]=7,e[n[8]="STRINGS"]=8,e[n[9]="TENSORS"]=9,e[n[10]="GRAPHS"]=10,e[n[12]="SPARSE_TENSORS"]=12,e[n[14]="TYPE_PROTOS"]=14,e}(),t}(),r.ValueInfoProto=function(){function t(n){if(n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.name="",t.prototype.type=null,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(e,o){return o||(o=Z.create()),e.name!=null&&Object.hasOwnProperty.call(e,"name")&&o.uint32(10).string(e.name),e.type!=null&&Object.hasOwnProperty.call(e,"type")&&f.onnx.TypeProto.encode(e.type,o.uint32(18).fork()).ldelim(),e.docString!=null&&Object.hasOwnProperty.call(e,"docString")&&o.uint32(26).string(e.docString),o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.ValueInfoProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.name=e.string();break}case 2:{a.type=f.onnx.TypeProto.decode(e,e.uint32());break}case 3:{a.docString=e.string();break}default:e.skipType(s&7);break}}return a},t.decodeDelimited=function(e){return e instanceof _||(e=new _(e)),this.decode(e,e.uint32())},t.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.name!=null&&e.hasOwnProperty("name")&&!h.isString(e.name))return"name: string expected";if(e.type!=null&&e.hasOwnProperty("type")){var o=f.onnx.TypeProto.verify(e.type);if(o)return"type."+o}return e.docString!=null&&e.hasOwnProperty("docString")&&!h.isString(e.docString)?"docString: string expected":null},t.fromObject=function(e){if(e instanceof f.onnx.ValueInfoProto)return e;var o=new f.onnx.ValueInfoProto;if(e.name!=null&&(o.name=String(e.name)),e.type!=null){if(typeof e.type!="object")throw TypeError(".onnx.ValueInfoProto.type: object expected");o.type=f.onnx.TypeProto.fromObject(e.type)}return e.docString!=null&&(o.docString=String(e.docString)),o},t.toObject=function(e,o){o||(o={});var i={};return o.defaults&&(i.name="",i.type=null,i.docString=""),e.name!=null&&e.hasOwnProperty("name")&&(i.name=e.name),e.type!=null&&e.hasOwnProperty("type")&&(i.type=f.onnx.TypeProto.toObject(e.type,o)),e.docString!=null&&e.hasOwnProperty("docString")&&(i.docString=e.docString),i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.ValueInfoProto"},t}(),r.NodeProto=function(){function t(n){if(this.input=[],this.output=[],this.attribute=[],n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.input=h.emptyArray,t.prototype.output=h.emptyArray,t.prototype.name="",t.prototype.opType="",t.prototype.domain="",t.prototype.attribute=h.emptyArray,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(e,o){if(o||(o=Z.create()),e.input!=null&&e.input.length)for(var i=0;i<e.input.length;++i)o.uint32(10).string(e.input[i]);if(e.output!=null&&e.output.length)for(var i=0;i<e.output.length;++i)o.uint32(18).string(e.output[i]);if(e.name!=null&&Object.hasOwnProperty.call(e,"name")&&o.uint32(26).string(e.name),e.opType!=null&&Object.hasOwnProperty.call(e,"opType")&&o.uint32(34).string(e.opType),e.attribute!=null&&e.attribute.length)for(var i=0;i<e.attribute.length;++i)f.onnx.AttributeProto.encode(e.attribute[i],o.uint32(42).fork()).ldelim();return e.docString!=null&&Object.hasOwnProperty.call(e,"docString")&&o.uint32(50).string(e.docString),e.domain!=null&&Object.hasOwnProperty.call(e,"domain")&&o.uint32(58).string(e.domain),o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.NodeProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.input&&a.input.length||(a.input=[]),a.input.push(e.string());break}case 2:{a.output&&a.output.length||(a.output=[]),a.output.push(e.string());break}case 3:{a.name=e.string();break}case 4:{a.opType=e.string();break}case 7:{a.domain=e.string();break}case 5:{a.attribute&&a.attribute.length||(a.attribute=[]),a.attribute.push(f.onnx.AttributeProto.decode(e,e.uint32()));break}case 6:{a.docString=e.string();break}default:e.skipType(s&7);break}}return a},t.decodeDelimited=function(e){return e instanceof _||(e=new _(e)),this.decode(e,e.uint32())},t.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.input!=null&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(var o=0;o<e.input.length;++o)if(!h.isString(e.input[o]))return"input: string[] expected"}if(e.output!=null&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(var o=0;o<e.output.length;++o)if(!h.isString(e.output[o]))return"output: string[] expected"}if(e.name!=null&&e.hasOwnProperty("name")&&!h.isString(e.name))return"name: string expected";if(e.opType!=null&&e.hasOwnProperty("opType")&&!h.isString(e.opType))return"opType: string expected";if(e.domain!=null&&e.hasOwnProperty("domain")&&!h.isString(e.domain))return"domain: string expected";if(e.attribute!=null&&e.hasOwnProperty("attribute")){if(!Array.isArray(e.attribute))return"attribute: array expected";for(var o=0;o<e.attribute.length;++o){var i=f.onnx.AttributeProto.verify(e.attribute[o]);if(i)return"attribute."+i}}return e.docString!=null&&e.hasOwnProperty("docString")&&!h.isString(e.docString)?"docString: string expected":null},t.fromObject=function(e){if(e instanceof f.onnx.NodeProto)return e;var o=new f.onnx.NodeProto;if(e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.NodeProto.input: array expected");o.input=[];for(var i=0;i<e.input.length;++i)o.input[i]=String(e.input[i])}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.NodeProto.output: array expected");o.output=[];for(var i=0;i<e.output.length;++i)o.output[i]=String(e.output[i])}if(e.name!=null&&(o.name=String(e.name)),e.opType!=null&&(o.opType=String(e.opType)),e.domain!=null&&(o.domain=String(e.domain)),e.attribute){if(!Array.isArray(e.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");o.attribute=[];for(var i=0;i<e.attribute.length;++i){if(typeof e.attribute[i]!="object")throw TypeError(".onnx.NodeProto.attribute: object expected");o.attribute[i]=f.onnx.AttributeProto.fromObject(e.attribute[i])}}return e.docString!=null&&(o.docString=String(e.docString)),o},t.toObject=function(e,o){o||(o={});var i={};if((o.arrays||o.defaults)&&(i.input=[],i.output=[],i.attribute=[]),o.defaults&&(i.name="",i.opType="",i.docString="",i.domain=""),e.input&&e.input.length){i.input=[];for(var a=0;a<e.input.length;++a)i.input[a]=e.input[a]}if(e.output&&e.output.length){i.output=[];for(var a=0;a<e.output.length;++a)i.output[a]=e.output[a]}if(e.name!=null&&e.hasOwnProperty("name")&&(i.name=e.name),e.opType!=null&&e.hasOwnProperty("opType")&&(i.opType=e.opType),e.attribute&&e.attribute.length){i.attribute=[];for(var a=0;a<e.attribute.length;++a)i.attribute[a]=f.onnx.AttributeProto.toObject(e.attribute[a],o)}return e.docString!=null&&e.hasOwnProperty("docString")&&(i.docString=e.docString),e.domain!=null&&e.hasOwnProperty("domain")&&(i.domain=e.domain),i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.NodeProto"},t}(),r.TrainingInfoProto=function(){function t(n){if(this.initializationBinding=[],this.updateBinding=[],n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.initialization=null,t.prototype.algorithm=null,t.prototype.initializationBinding=h.emptyArray,t.prototype.updateBinding=h.emptyArray,t.create=function(e){return new t(e)},t.encode=function(e,o){if(o||(o=Z.create()),e.initialization!=null&&Object.hasOwnProperty.call(e,"initialization")&&f.onnx.GraphProto.encode(e.initialization,o.uint32(10).fork()).ldelim(),e.algorithm!=null&&Object.hasOwnProperty.call(e,"algorithm")&&f.onnx.GraphProto.encode(e.algorithm,o.uint32(18).fork()).ldelim(),e.initializationBinding!=null&&e.initializationBinding.length)for(var i=0;i<e.initializationBinding.length;++i)f.onnx.StringStringEntryProto.encode(e.initializationBinding[i],o.uint32(26).fork()).ldelim();if(e.updateBinding!=null&&e.updateBinding.length)for(var i=0;i<e.updateBinding.length;++i)f.onnx.StringStringEntryProto.encode(e.updateBinding[i],o.uint32(34).fork()).ldelim();return o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.TrainingInfoProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.initialization=f.onnx.GraphProto.decode(e,e.uint32());break}case 2:{a.algorithm=f.onnx.GraphProto.decode(e,e.uint32());break}case 3:{a.initializationBinding&&a.initializationBinding.length||(a.initializationBinding=[]),a.initializationBinding.push(f.onnx.StringStringEntryProto.decode(e,e.uint32()));break}case 4:{a.updateBinding&&a.updateBinding.length||(a.updateBinding=[]),a.updateBinding.push(f.onnx.StringStringEntryProto.decode(e,e.uint32()));break}default:e.skipType(s&7);break}}return a},t.decodeDelimited=function(e){return e instanceof _||(e=new _(e)),this.decode(e,e.uint32())},t.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.initialization!=null&&e.hasOwnProperty("initialization")){var o=f.onnx.GraphProto.verify(e.initialization);if(o)return"initialization."+o}if(e.algorithm!=null&&e.hasOwnProperty("algorithm")){var o=f.onnx.GraphProto.verify(e.algorithm);if(o)return"algorithm."+o}if(e.initializationBinding!=null&&e.hasOwnProperty("initializationBinding")){if(!Array.isArray(e.initializationBinding))return"initializationBinding: array expected";for(var i=0;i<e.initializationBinding.length;++i){var o=f.onnx.StringStringEntryProto.verify(e.initializationBinding[i]);if(o)return"initializationBinding."+o}}if(e.updateBinding!=null&&e.hasOwnProperty("updateBinding")){if(!Array.isArray(e.updateBinding))return"updateBinding: array expected";for(var i=0;i<e.updateBinding.length;++i){var o=f.onnx.StringStringEntryProto.verify(e.updateBinding[i]);if(o)return"updateBinding."+o}}return null},t.fromObject=function(e){if(e instanceof f.onnx.TrainingInfoProto)return e;var o=new f.onnx.TrainingInfoProto;if(e.initialization!=null){if(typeof e.initialization!="object")throw 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TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");o.updateBinding[i]=f.onnx.StringStringEntryProto.fromObject(e.updateBinding[i])}}return o},t.toObject=function(e,o){o||(o={});var i={};if((o.arrays||o.defaults)&&(i.initializationBinding=[],i.updateBinding=[]),o.defaults&&(i.initialization=null,i.algorithm=null),e.initialization!=null&&e.hasOwnProperty("initialization")&&(i.initialization=f.onnx.GraphProto.toObject(e.initialization,o)),e.algorithm!=null&&e.hasOwnProperty("algorithm")&&(i.algorithm=f.onnx.GraphProto.toObject(e.algorithm,o)),e.initializationBinding&&e.initializationBinding.length){i.initializationBinding=[];for(var a=0;a<e.initializationBinding.length;++a)i.initializationBinding[a]=f.onnx.StringStringEntryProto.toObject(e.initializationBinding[a],o)}if(e.updateBinding&&e.updateBinding.length){i.updateBinding=[];for(var a=0;a<e.updateBinding.length;++a)i.updateBinding[a]=f.onnx.StringStringEntryProto.toObject(e.updateBinding[a],o)}return i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.TrainingInfoProto"},t}(),r.ModelProto=function(){function t(n){if(this.opsetImport=[],this.metadataProps=[],this.trainingInfo=[],this.functions=[],n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.irVersion=h.Long?h.Long.fromBits(0,0,!1):0,t.prototype.opsetImport=h.emptyArray,t.prototype.producerName="",t.prototype.producerVersion="",t.prototype.domain="",t.prototype.modelVersion=h.Long?h.Long.fromBits(0,0,!1):0,t.prototype.docString="",t.prototype.graph=null,t.prototype.metadataProps=h.emptyArray,t.prototype.trainingInfo=h.emptyArray,t.prototype.functions=h.emptyArray,t.create=function(e){return new 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i=0;i<e.metadataProps.length;++i)f.onnx.StringStringEntryProto.encode(e.metadataProps[i],o.uint32(114).fork()).ldelim();if(e.trainingInfo!=null&&e.trainingInfo.length)for(var i=0;i<e.trainingInfo.length;++i)f.onnx.TrainingInfoProto.encode(e.trainingInfo[i],o.uint32(162).fork()).ldelim();if(e.functions!=null&&e.functions.length)for(var i=0;i<e.functions.length;++i)f.onnx.FunctionProto.encode(e.functions[i],o.uint32(202).fork()).ldelim();return o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.ModelProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.irVersion=e.int64();break}case 8:{a.opsetImport&&a.opsetImport.length||(a.opsetImport=[]),a.opsetImport.push(f.onnx.OperatorSetIdProto.decode(e,e.uint32()));break}case 2:{a.producerName=e.string();break}case 3:{a.producerVersion=e.string();break}case 4:{a.domain=e.string();break}case 5:{a.modelVersion=e.int64();break}case 6:{a.docString=e.string();break}case 7:{a.graph=f.onnx.GraphProto.decode(e,e.uint32());break}case 14:{a.metadataProps&&a.metadataProps.length||(a.metadataProps=[]),a.metadataProps.push(f.onnx.StringStringEntryProto.decode(e,e.uint32()));break}case 20:{a.trainingInfo&&a.trainingInfo.length||(a.trainingInfo=[]),a.trainingInfo.push(f.onnx.TrainingInfoProto.decode(e,e.uint32()));break}case 25:{a.functions&&a.functions.length||(a.functions=[]),a.functions.push(f.onnx.FunctionProto.decode(e,e.uint32()));break}default:e.skipType(s&7);break}}return a},t.decodeDelimited=function(e){return e instanceof _||(e=new _(e)),this.decode(e,e.uint32())},t.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.irVersion!=null&&e.hasOwnProperty("irVersion")&&!h.isInteger(e.irVersion)&&!(e.irVersion&&h.isInteger(e.irVersion.low)&&h.isInteger(e.irVersion.high)))return"irVersion: integer|Long 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expected";if(e.graph!=null&&e.hasOwnProperty("graph")){var i=f.onnx.GraphProto.verify(e.graph);if(i)return"graph."+i}if(e.metadataProps!=null&&e.hasOwnProperty("metadataProps")){if(!Array.isArray(e.metadataProps))return"metadataProps: array expected";for(var o=0;o<e.metadataProps.length;++o){var i=f.onnx.StringStringEntryProto.verify(e.metadataProps[o]);if(i)return"metadataProps."+i}}if(e.trainingInfo!=null&&e.hasOwnProperty("trainingInfo")){if(!Array.isArray(e.trainingInfo))return"trainingInfo: array expected";for(var o=0;o<e.trainingInfo.length;++o){var i=f.onnx.TrainingInfoProto.verify(e.trainingInfo[o]);if(i)return"trainingInfo."+i}}if(e.functions!=null&&e.hasOwnProperty("functions")){if(!Array.isArray(e.functions))return"functions: array expected";for(var o=0;o<e.functions.length;++o){var i=f.onnx.FunctionProto.verify(e.functions[o]);if(i)return"functions."+i}}return null},t.fromObject=function(e){if(e instanceof f.onnx.ModelProto)return e;var o=new 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i=0;i<e.trainingInfo.length;++i){if(typeof e.trainingInfo[i]!="object")throw TypeError(".onnx.ModelProto.trainingInfo: object expected");o.trainingInfo[i]=f.onnx.TrainingInfoProto.fromObject(e.trainingInfo[i])}}if(e.functions){if(!Array.isArray(e.functions))throw TypeError(".onnx.ModelProto.functions: array expected");o.functions=[];for(var i=0;i<e.functions.length;++i){if(typeof e.functions[i]!="object")throw TypeError(".onnx.ModelProto.functions: object expected");o.functions[i]=f.onnx.FunctionProto.fromObject(e.functions[i])}}return o},t.toObject=function(e,o){o||(o={});var i={};if((o.arrays||o.defaults)&&(i.opsetImport=[],i.metadataProps=[],i.trainingInfo=[],i.functions=[]),o.defaults){if(h.Long){var a=new h.Long(0,0,!1);i.irVersion=o.longs===String?a.toString():o.longs===Number?a.toNumber():a}else i.irVersion=o.longs===String?"0":0;if(i.producerName="",i.producerVersion="",i.domain="",h.Long){var a=new 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h.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber():e.modelVersion),e.docString!=null&&e.hasOwnProperty("docString")&&(i.docString=e.docString),e.graph!=null&&e.hasOwnProperty("graph")&&(i.graph=f.onnx.GraphProto.toObject(e.graph,o)),e.opsetImport&&e.opsetImport.length){i.opsetImport=[];for(var s=0;s<e.opsetImport.length;++s)i.opsetImport[s]=f.onnx.OperatorSetIdProto.toObject(e.opsetImport[s],o)}if(e.metadataProps&&e.metadataProps.length){i.metadataProps=[];for(var s=0;s<e.metadataProps.length;++s)i.metadataProps[s]=f.onnx.StringStringEntryProto.toObject(e.metadataProps[s],o)}if(e.trainingInfo&&e.trainingInfo.length){i.trainingInfo=[];for(var s=0;s<e.trainingInfo.length;++s)i.trainingInfo[s]=f.onnx.TrainingInfoProto.toObject(e.trainingInfo[s],o)}if(e.functions&&e.functions.length){i.functions=[];for(var s=0;s<e.functions.length;++s)i.functions[s]=f.onnx.FunctionProto.toObject(e.functions[s],o)}return i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.ModelProto"},t}(),r.StringStringEntryProto=function(){function t(n){if(n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.key="",t.prototype.value="",t.create=function(e){return new t(e)},t.encode=function(e,o){return o||(o=Z.create()),e.key!=null&&Object.hasOwnProperty.call(e,"key")&&o.uint32(10).string(e.key),e.value!=null&&Object.hasOwnProperty.call(e,"value")&&o.uint32(18).string(e.value),o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.StringStringEntryProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.key=e.string();break}case 2:{a.value=e.string();break}default:e.skipType(s&7);break}}return a},t.decodeDelimited=function(e){return e instanceof _||(e=new _(e)),this.decode(e,e.uint32())},t.verify=function(e){return typeof e!="object"||e===null?"object expected":e.key!=null&&e.hasOwnProperty("key")&&!h.isString(e.key)?"key: string expected":e.value!=null&&e.hasOwnProperty("value")&&!h.isString(e.value)?"value: string expected":null},t.fromObject=function(e){if(e instanceof f.onnx.StringStringEntryProto)return e;var o=new f.onnx.StringStringEntryProto;return e.key!=null&&(o.key=String(e.key)),e.value!=null&&(o.value=String(e.value)),o},t.toObject=function(e,o){o||(o={});var i={};return o.defaults&&(i.key="",i.value=""),e.key!=null&&e.hasOwnProperty("key")&&(i.key=e.key),e.value!=null&&e.hasOwnProperty("value")&&(i.value=e.value),i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.StringStringEntryProto"},t}(),r.TensorAnnotation=function(){function t(n){if(this.quantParameterTensorNames=[],n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.tensorName="",t.prototype.quantParameterTensorNames=h.emptyArray,t.create=function(e){return new t(e)},t.encode=function(e,o){if(o||(o=Z.create()),e.tensorName!=null&&Object.hasOwnProperty.call(e,"tensorName")&&o.uint32(10).string(e.tensorName),e.quantParameterTensorNames!=null&&e.quantParameterTensorNames.length)for(var i=0;i<e.quantParameterTensorNames.length;++i)f.onnx.StringStringEntryProto.encode(e.quantParameterTensorNames[i],o.uint32(18).fork()).ldelim();return o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.TensorAnnotation;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.tensorName=e.string();break}case 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f.onnx.TensorAnnotation;if(e.tensorName!=null&&(o.tensorName=String(e.tensorName)),e.quantParameterTensorNames){if(!Array.isArray(e.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");o.quantParameterTensorNames=[];for(var i=0;i<e.quantParameterTensorNames.length;++i){if(typeof e.quantParameterTensorNames[i]!="object")throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");o.quantParameterTensorNames[i]=f.onnx.StringStringEntryProto.fromObject(e.quantParameterTensorNames[i])}}return o},t.toObject=function(e,o){o||(o={});var i={};if((o.arrays||o.defaults)&&(i.quantParameterTensorNames=[]),o.defaults&&(i.tensorName=""),e.tensorName!=null&&e.hasOwnProperty("tensorName")&&(i.tensorName=e.tensorName),e.quantParameterTensorNames&&e.quantParameterTensorNames.length){i.quantParameterTensorNames=[];for(var a=0;a<e.quantParameterTensorNames.length;++a)i.quantParameterTensorNames[a]=f.onnx.StringStringEntryProto.toObject(e.quantParameterTensorNames[a],o)}return i},t.prototype.toJSON=function(){return this.constructor.toObject(this,U.util.toJSONOptions)},t.getTypeUrl=function(e){return e===void 0&&(e="type.googleapis.com"),e+"/onnx.TensorAnnotation"},t}(),r.GraphProto=function(){function t(n){if(this.node=[],this.initializer=[],this.sparseInitializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],n)for(var e=Object.keys(n),o=0;o<e.length;++o)n[e[o]]!=null&&(this[e[o]]=n[e[o]])}return t.prototype.node=h.emptyArray,t.prototype.name="",t.prototype.initializer=h.emptyArray,t.prototype.sparseInitializer=h.emptyArray,t.prototype.docString="",t.prototype.input=h.emptyArray,t.prototype.output=h.emptyArray,t.prototype.valueInfo=h.emptyArray,t.prototype.quantizationAnnotation=h.emptyArray,t.create=function(e){return new t(e)},t.encode=function(e,o){if(o||(o=Z.create()),e.node!=null&&e.node.length)for(var i=0;i<e.node.length;++i)f.onnx.NodeProto.encode(e.node[i],o.uint32(10).fork()).ldelim();if(e.name!=null&&Object.hasOwnProperty.call(e,"name")&&o.uint32(18).string(e.name),e.initializer!=null&&e.initializer.length)for(var i=0;i<e.initializer.length;++i)f.onnx.TensorProto.encode(e.initializer[i],o.uint32(42).fork()).ldelim();if(e.docString!=null&&Object.hasOwnProperty.call(e,"docString")&&o.uint32(82).string(e.docString),e.input!=null&&e.input.length)for(var i=0;i<e.input.length;++i)f.onnx.ValueInfoProto.encode(e.input[i],o.uint32(90).fork()).ldelim();if(e.output!=null&&e.output.length)for(var i=0;i<e.output.length;++i)f.onnx.ValueInfoProto.encode(e.output[i],o.uint32(98).fork()).ldelim();if(e.valueInfo!=null&&e.valueInfo.length)for(var i=0;i<e.valueInfo.length;++i)f.onnx.ValueInfoProto.encode(e.valueInfo[i],o.uint32(106).fork()).ldelim();if(e.quantizationAnnotation!=null&&e.quantizationAnnotation.length)for(var i=0;i<e.quantizationAnnotation.length;++i)f.onnx.TensorAnnotation.encode(e.quantizationAnnotation[i],o.uint32(114).fork()).ldelim();if(e.sparseInitializer!=null&&e.sparseInitializer.length)for(var i=0;i<e.sparseInitializer.length;++i)f.onnx.SparseTensorProto.encode(e.sparseInitializer[i],o.uint32(122).fork()).ldelim();return o},t.encodeDelimited=function(e,o){return this.encode(e,o).ldelim()},t.decode=function(e,o){e instanceof _||(e=_.create(e));for(var i=o===void 0?e.len:e.pos+o,a=new f.onnx.GraphProto;e.pos<i;){var s=e.uint32();switch(s>>>3){case 1:{a.node&&a.node.length||(a.node=[]),a.node.push(f.onnx.NodeProto.decode(e,e.uint32()));break}case 2:{a.name=e.string();break}case 5:{a.initializer&&a.initializer.length||(a.initializer=[]),a.initializer.push(f.onnx.TensorProto.decode(e,e.uint32()));break}case 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i=f.onnx.TensorProto.Segment.verify(e.segment);if(i)return"segment."+i}if(e.floatData!=null&&e.hasOwnProperty("floatData")){if(!Array.isArray(e.floatData))return"floatData: array expected";for(var o=0;o<e.floatData.length;++o)if(typeof e.floatData[o]!="number")return"floatData: number[] expected"}if(e.int32Data!=null&&e.hasOwnProperty("int32Data")){if(!Array.isArray(e.int32Data))return"int32Data: array expected";for(var o=0;o<e.int32Data.length;++o)if(!h.isInteger(e.int32Data[o]))return"int32Data: integer[] expected"}if(e.stringData!=null&&e.hasOwnProperty("stringData")){if(!Array.isArray(e.stringData))return"stringData: array expected";for(var o=0;o<e.stringData.length;++o)if(!(e.stringData[o]&&typeof e.stringData[o].length=="number"||h.isString(e.stringData[o])))return"stringData: buffer[] expected"}if(e.int64Data!=null&&e.hasOwnProperty("int64Data")){if(!Array.isArray(e.int64Data))return"int64Data: array expected";for(var o=0;o<e.int64Data.length;++o)if(!h.isInteger(e.int64Data[o])&&!(e.int64Data[o]&&h.isInteger(e.int64Data[o].low)&&h.isInteger(e.int64Data[o].high)))return"int64Data: integer|Long[] expected"}if(e.name!=null&&e.hasOwnProperty("name")&&!h.isString(e.name))return"name: string expected";if(e.docString!=null&&e.hasOwnProperty("docString")&&!h.isString(e.docString))return"docString: string expected";if(e.rawData!=null&&e.hasOwnProperty("rawData")&&!(e.rawData&&typeof e.rawData.length=="number"||h.isString(e.rawData)))return"rawData: buffer expected";if(e.externalData!=null&&e.hasOwnProperty("externalData")){if(!Array.isArray(e.externalData))return"externalData: array expected";for(var o=0;o<e.externalData.length;++o){var i=f.onnx.StringStringEntryProto.verify(e.externalData[o]);if(i)return"externalData."+i}}if(e.dataLocation!=null&&e.hasOwnProperty("dataLocation"))switch(e.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:break}if(e.doubleData!=null&&e.hasOwnProperty("doubleData")){if(!Array.isArray(e.doubleData))return"doubleData: array expected";for(var o=0;o<e.doubleData.length;++o)if(typeof e.doubleData[o]!="number")return"doubleData: number[] expected"}if(e.uint64Data!=null&&e.hasOwnProperty("uint64Data")){if(!Array.isArray(e.uint64Data))return"uint64Data: array expected";for(var o=0;o<e.uint64Data.length;++o)if(!h.isInteger(e.uint64Data[o])&&!(e.uint64Data[o]&&h.isInteger(e.uint64Data[o].low)&&h.isInteger(e.uint64Data[o].high)))return"uint64Data: integer|Long[] expected"}return null},t.fromObject=function(e){if(e instanceof f.onnx.TensorProto)return e;var o=new f.onnx.TensorProto;if(e.dims){if(!Array.isArray(e.dims))throw TypeError(".onnx.TensorProto.dims: array expected");o.dims=[];for(var i=0;i<e.dims.length;++i)h.Long?(o.dims[i]=h.Long.fromValue(e.dims[i])).unsigned=!1:typeof e.dims[i]=="string"?o.dims[i]=parseInt(e.dims[i],10):typeof e.dims[i]=="number"?o.dims[i]=e.dims[i]:typeof 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e.stringData[i]=="string"?h.base64.decode(e.stringData[i],o.stringData[i]=h.newBuffer(h.base64.length(e.stringData[i])),0):e.stringData[i].length>=0&&(o.stringData[i]=e.stringData[i])}if(e.int64Data){if(!Array.isArray(e.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");o.int64Data=[];for(var i=0;i<e.int64Data.length;++i)h.Long?(o.int64Data[i]=h.Long.fromValue(e.int64Data[i])).unsigned=!1:typeof e.int64Data[i]=="string"?o.int64Data[i]=parseInt(e.int64Data[i],10):typeof e.int64Data[i]=="number"?o.int64Data[i]=e.int64Data[i]:typeof e.int64Data[i]=="object"&&(o.int64Data[i]=new h.LongBits(e.int64Data[i].low>>>0,e.int64Data[i].high>>>0).toNumber())}if(e.name!=null&&(o.name=String(e.name)),e.docString!=null&&(o.docString=String(e.docString)),e.rawData!=null&&(typeof e.rawData=="string"?h.base64.decode(e.rawData,o.rawData=h.newBuffer(h.base64.length(e.rawData)),0):e.rawData.length>=0&&(o.rawData=e.rawData)),e.externalData){if(!Array.isArray(e.externalData))throw 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0&&(e="type.googleapis.com"),e+"/onnx.FunctionProto"},t}(),r}();wu.exports=f});function je(r,t){if(!r)throw new Error(typeof t=="string"?t:t())}function mn(r){return new TextDecoder().decode(r)}var W,Le,vi,it,Qn,rt,ct,I,bn,$e,Ne,Fe,V=y(()=>{"use strict";Ur();W=E(We());Ce();Le=class{static arraysEqual(t,n){if(t.length!==n.length)return!1;for(let e=0;e<t.length;e++)if(t[e]!==n[e])return!1;return!0}},vi=class{static preprocessInputShapes(t,n){let e=t.length===1?[1,t[0]]:t,o=n.length===1?[n[0],1]:n;return[e,o]}static postprocessOutputShape(t,n,e){n===1&&t.splice(t.length-2,1),e===1&&t.pop()}static calcMatMulShape(t,n){return t[1]!==n[0]?void 0:[t[0],n[1]]}},it=class r{static calcShape(t,n,e=!1){let o=t.length,i=n.length;if(o===0)return n;if(i===0)return t;let a=Math.max(t.length,n.length),s=new Array(a);if(e){if(o<2||i<2)return;let u=vi.calcMatMulShape([t[o-2],t[o-1]],[n[i-2],n[i-1]]);if(u===void 0)return;[s[a-2],s[a-1]]=u}for(let u=e?3:1;u<=a;u++){let 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e=t.length,o=[];for(let i=0;i<e;i++){let a=e-1-i,s=t[a]||1;(n[n.length-1-i]||1)>1&&s===1&&o.unshift(a)}return o}},Qn=class{static getShapeOfGemmResult(t,n,e,o,i){if(t.length!==2||e.length!==2)throw new Error("shape need to be of size 2");let a,s,u;n?(a=t[1],s=t[0]):(a=t[0],s=t[1]);let l=-1;if(o?(u=e[0],l=1):(u=e[1],l=0),e[l]!==s)throw new Error("dimension mismatch");if(a<=0||u<=0||s<=0)throw new Error("invalid shape specified");if(i&&!it.isValidBroadcast(i,[a,u]))throw new Error("gemm: invalid bias shape for broadcast");return[a,u,s]}},rt=class r{static tensorDataTypeFromProto(t){switch(t){case W.onnx.TensorProto.DataType.INT8:return"int8";case W.onnx.TensorProto.DataType.UINT8:return"uint8";case W.onnx.TensorProto.DataType.BOOL:return"bool";case W.onnx.TensorProto.DataType.INT16:return"int16";case W.onnx.TensorProto.DataType.UINT16:return"uint16";case W.onnx.TensorProto.DataType.INT32:return"int32";case W.onnx.TensorProto.DataType.UINT32:return"uint32";case W.onnx.TensorProto.DataType.FLOAT:return"float32";case W.onnx.TensorProto.DataType.DOUBLE:return"float64";case W.onnx.TensorProto.DataType.STRING:return"string";case W.onnx.TensorProto.DataType.INT64:return"int32";case W.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${W.onnx.TensorProto.DataType[t]}`)}}static tensorDataTypeStringToEnum(t){switch(t){case"int8":return W.onnx.TensorProto.DataType.INT8;case"uint8":return W.onnx.TensorProto.DataType.UINT8;case"bool":return W.onnx.TensorProto.DataType.BOOL;case"int16":return W.onnx.TensorProto.DataType.INT16;case"uint16":return W.onnx.TensorProto.DataType.UINT16;case"int32":return W.onnx.TensorProto.DataType.INT32;case"uint32":return W.onnx.TensorProto.DataType.UINT32;case"float32":return W.onnx.TensorProto.DataType.FLOAT;case"float64":return W.onnx.TensorProto.DataType.DOUBLE;case"string":return W.onnx.TensorProto.DataType.STRING;case"int64":return W.onnx.TensorProto.DataType.INT64;case"uint64":return W.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${t}`)}}static tensorDimsFromProto(t){return t.map(n=>ge.isLong(n)?n.toNumber():n)}static tensorValueTypeFromProto(t){return{tensorType:r.tensorDataTypeFromProto(t.elemType),shape:{dims:r.tensorDimsFromProto(t.shape.dim.map(n=>n.dimValue))}}}static tensorDimsFromORTFormat(t){let n=[];for(let e=0;e<t.dimsLength();e++)n.push(ct.longToNumber(t.dims(e)));return n}static tensorAttributesFromORTFormat(t){let n=[];for(let e=0;e<t.attributesLength();e++)n.push(t.attributes(e));return n}},ct=class{static longToNumber(t){return ge.isLong(t)?t.toNumber():typeof t=="bigint"?Number(t):t}static isLong(t){return ge.isLong(t)||typeof t=="bigint"}},I=class r{static size(t){return r.getSizeFromDimensionRange(t,0,t.length)}static sizeFromDimension(t,n){if(n<0||n>t.length)throw new Error(`invalid dimension of ${n} for sizeFromDimension as Tensor has ${t.length} dimensions.`);return r.getSizeFromDimensionRange(t,n,t.length)}static sizeToDimension(t,n){if(n<0||n>t.length)throw new Error(`invalid dimension of ${n} for sizeToDimension as Tensor has ${t.length} dimensions.`);return r.getSizeFromDimensionRange(t,0,n)}static getSizeFromDimensionRange(t,n,e){let o=1;for(let i=n;i<e;i++){if(t[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");o*=t[i]}return o}static computeStrides(t){let n=t.length;if(n===0)return[];if(n===1)return[1];let e=new Array(n);e[n-1]=1,e[n-2]=t[n-1];for(let o=n-3;o>=0;--o)e[o]=e[o+1]*t[o+1];return e}static transpose(t){return t.slice().reverse()}static indicesToOffset(t,n,e){e===void 0&&(e=t.length);let o=0;for(let i=0;i<e;++i)o+=n[i]*t[i];return o}static offsetToIndices(t,n){let e=n.length;if(e===0)return[];if(e===1)return[t*n[0]];let o=new Array(n.length);for(let i=0;i<o.length-1;++i)o[i]=Math.floor(t/n[i]),t-=o[i]*n[i];return o[o.length-1]=t,o}static normalizeAxis(t,n){if(t<-n&&t>=n)throw new Error("unsupported axis for this operation.");return t<0?t+n:t}static normalizeAxes(t,n){return t.map(e=>this.normalizeAxis(e,n))}static incrementIndex(t,n,e){if(n.length===0||t.length===0)throw new Error("Index incrementing unsupported for scalar Tensor");if(e===void 0)e=n.length;else if(e<=0||e>n.length)throw new Error("Incorrect axis to increment on");for(let o=e-1;o>=0&&(t[o]++,!(t[o]<n[o]));--o)t[o]=0}static calculateReshapedDims(t,n){if(n.length===0){if(t.length===0||r.size(t)===1)return[];throw new Error("cannot reshape to a scalar Tensor")}let e=n.length,o=new Array(e),i=-1,a=1;for(let u=0;u<e;u++){if(n[u]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(n[u]===-1){if(i!==-1)throw new Error("at most one dimension in shape hints can be -1");i=u}else{if(n[u]===0){if(u>=t.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");o[u]=t[u]}else o[u]=n[u];a*=o[u]}}let s=r.size(t);if(i!==-1){if(s%a!==0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${t}] Output shape: [${n}]`);o[i]=s/a}else if(a!==s)throw new Error("reshapedDims and originalDims don't have matching sizes");return o}static sortBasedOnPerm(t,n){return n?n.map(e=>t[e]):t.slice().reverse()}static padShape(t,n){let e=t.length;return t.map((o,i)=>o+n[i]+n[i+e])}static areEqual(t,n){return t.length!==n.length?!1:t.every((e,o)=>e===n[o])}static validateDimsAndCalcSize(t){if(t.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let n=1;for(let e of t){if(!Number.isInteger(e))throw new TypeError(`Invalid shape: ${e} is not an integer`);if(e<0||e>2147483647)throw new TypeError(`Invalid shape: length ${e} is not allowed`);n*=e}return n}static flattenShape(t,n){n<0&&(n+=t.length);let e=t.reduce((a,s)=>a*s,1),o=t.slice(n).reduce((a,s)=>a*s,1);return[e/o,o]}static squeezeShape(t,n){let e=new Array;n=r.normalizeAxes(n,t.length);for(let o=0;o<t.length;o++){let i=n.indexOf(o)>=0;if(i&&t[o]!==1)throw new Error("squeeze an axis of size different than 1");(n.length===0&&t[o]>1||n.length>0&&!i)&&e.push(t[o])}return e}static unsqueezeShape(t,n){let e=new Array(t.length+n.length);e.fill(0);for(let i=0;i<n.length;i++){let a=r.normalizeAxis(n[i],e.length);if(a>=e.length)throw new Error("'axes' has an out of range axis");if(e[a]!==0)throw new Error("'axes' has a duplicate axis");e[a]=1}let o=0;for(let i=0;i<e.length;i++)e[i]===0&&(e[i]=t[o++]);if(o!==t.length)throw new Error("the unsqueezed dimension could not be established");return e}},bn=class r{static splitShape(t,n,e,o){if(e.length===0){if(!o)throw new Error("need to know number of outputs when the 'split' attribute is not specified");r.determineSplit(t[n],o,e)}let i=[],a=[0];for(let s=0;s<e.length;++s){s!==0&&a.push(a[s-1]+e[s-1]);let u=t.slice();u[n]=e[s],i.push(u)}return[i,a]}static determineSplit(t,n,e){if(t%n!==0)throw new Error("cannot split tensor to equal sized parts");for(let o=0;o<n;++o)e.push(t/n)}},$e=class r{static adjustPoolAttributes(t,n,e,o,i,a){if(!t&&e.length!==n.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(t)for(let s=0;s<n.length-2;s++)s>=e.length?e.push(n[s+2]):e[s]=n[s+2];for(let s=0;s<e.length;s++)if(s<o.length){if(o[s]<0)throw new Error("strides should be greater than or equal to 1")}else o.push(1);for(let s=0;s<e.length;s++)if(s<i.length){if(i[s]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let s=0;s<e.length*2;s++)if(s<a.length){if(a[s]<0)throw new Error("pad should be greater than or equal to 1")}else a.push(0);for(let s=0;s<e.length;s++){if(e[s]<=0)throw new Error("kernel shapes need to be greater than 0");if(a[s]>=e[s]||a[s+e.length]>=e[s])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(t,n,e,o,i,a){if(a){if(i.length!==2*(t.length-2))throw new Error("length of pads should be twice the length of data 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l=e*(o-1)+1;if(u&&u!=="NOTSET")switch(u){case"VALID":return i[a]=0,i[s]=0,Math.floor((t-l)/n+1);case"SAME_LOWER":case"SAME_UPPER":if(e!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let d=((t+n-1)/n-1)*n+o-t;return i[a]=Math.floor(u==="SAME_LOWER"?(d+1)/2:d/2),i[s]=d-i[a],Math.floor((t+d-o)/n+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((t+i[a]+i[s]-l)/n+1)}},Ne=-34028234663852886e22,Fe=34028234663852886e22});function sm(r){switch(r){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 ${r}`)}}function Iu(r){switch(r){case $.onnx.TensorProto.DataType.UINT8:case $.onnx.TensorProto.DataType.INT8:case $.onnx.TensorProto.DataType.BOOL:return 1;case $.onnx.TensorProto.DataType.UINT16:case $.onnx.TensorProto.DataType.INT16:return 2;case $.onnx.TensorProto.DataType.FLOAT:case 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      c[3] += 128.0 * step(0.0, -v);

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`)},Zm=r=>{let t=["int getSizeInConcatAxisValueFromIndex(int index) {"];for(let n=0;n<r.length;++n)n===0?t.push(`	if (index == ${n}) { return ${r[n]}; }`):n===r.length-1?t.push(`	else { return ${r[n]}; }`):t.push(`	else if (index == ${n}) { return ${r[n]}; }`);return t.push("	}"),t.join(`
`)},ml=r=>L({axis:r.attributes.getInt("axis")}),Jm=r=>{if(!r||r.length<1)throw new Error("too few inputs");let t=r[0].type,n=r[0].dims.length;if(t==="string")throw new Error("string tensor is not supported yet");for(let e of r){if(e.type!==t)throw new Error("input tensors should be one type");if(e.dims.length!==n)throw new Error("input tensors should have the same shape")}}});function Ym(){return _t("abs")}function Qm(){return _t("acos")}function tg(){return _t("asin")}function eg(){return _t("atan")}function ng(){return _t("ceil")}function rg(){return _t("cos")}function og(r){let t="elu";return{body:`
  const float alpha = float(${r});

  float ${t}_(float a) {
    return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
  }
  vec4 ${t}_(vec4 v) {
    return vec4(${t}_(v.x), ${t}_(v.y), ${t}_(v.z), ${t}_(v.w));
  }
  `,name:t,type:0}}function ig(){return _t("exp")}function ag(){return _t("floor")}function Ei(r,t){let n="clip";return{body:`
  const float min = float(${r});
  const float max = float(${t});

  float ${n}_(float a) {
    return clamp(a, min, max);
  }
  vec4 ${n}_(vec4 v) {
    return clamp(v, min, max);
  }
  `,name:n,type:0}}function sg(){let r="indentity";return{body:`
  float ${r}_(float a) {
    return a;
  }
  vec4 ${r}_(vec4 v) {
    return v;
  }
  `,name:r,type:0}}function ug(r){let t="leakyRelu";return{body:`
  const float alpha = float(${r});

  float ${t}_(float a) {
    return a < 0.0 ? a * alpha : a;
  }
  vec4 ${t}_(vec4 v) {
    return vec4(${t}_(v.x), ${t}_(v.y), ${t}_(v.z), ${t}_(v.w));
  }
  `,name:t,type:0}}function lg(){return _t("log")}function cg(){let r="neg";return{body:`
  float ${r}_(float a) {
    return -a;
  }
  vec4 ${r}_(vec4 v) {
    return -v;
  }
  `,name:r,type:0}}function fg(){let r="not";return{body:`
  float ${r}_(float a) {
    return float( ! bool(a) );
  }
  bool ${r}_(bool a) {
    return !a;
  }
  vec4 ${r}_(vec4 v) {
    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
  }
  bvec4 ${r}_(bvec4 v) {
    return bvec4(!v.x, !v.y, !v.z, !v.w);
  }
  `,name:r,type:0}}function dg(){return _t("sin")}function Di(){let r="relu";return{body:`
  float ${r}_(float a) {
    return max( a, 0.0 );
  }
  vec4 ${r}_(vec4 v) {
    return max( v, 0.0 );
  }
  `,name:r,type:0}}function Li(){let r="sigmoid";return{body:`
  float ${r}_(float a) {
    return 1.0 / (1.0 + exp(-a));
  }
  vec4 ${r}_(vec4 v) {
    return 1.0 / (1.0 + exp(-v));
  }
  `,name:r,type:0}}function pg(){return _t("sqrt")}function hg(){return _t("tan")}function bg(){let r="tanh";return{body:`
  float ${r}_(float a) {
    a = clamp(a, -10., 10.);
    a = exp(2.*a);
    return (a - 1.) / (a + 1.);
  }
  vec4 ${r}_(vec4 v) {
    v = clamp(v, -10., 10.);
    v = exp(2.*v);
    return (v - 1.) / (v + 1.);
  }
  `,name:r,type:0}}function _t(r){return{body:`
  float ${r}_(float a) {
    return ${r}(a);
  }
  vec4 ${r}_(vec4 v) {
    return ${r}(v);
  }
  `,name:r,type:0}}var mg,J,yl,Tl,_l,xl,$i,vl,wl,gg,Il,Ol,Pl,Sl,Al,El,Ni,Dl,Ll,$l,Nl,Fl,Cl,Rl,Gl,kl,Ml,Vl,Fi=y(()=>{"use strict";et();V();he();H();C();mg=(r,t,n,e)=>{let o=r.session.pack?2:0,i=S(r.session.backend.glContext.version);return{...t,output:{dims:n.dims,type:n.type,textureType:o},shaderSource:`
     ${e.body}
     void main() {
       vec4 v = ${i.texture2D}(A, TexCoords);
       v = ${e.name}_(v);
       ${i.output} = v;
     }
     `,hasMain:!0}},J=(r,t,n,e)=>{let o=r.session.pack?2:0,i={name:n.name,inputTypes:[o],inputNames:["A"],cacheHint:e};return{...i,get:()=>mg(r,i,t,n)}},yl=(r,t)=>[r.run(J(r,t[0],Ym()),t)],Tl=(r,t)=>[r.run(J(r,t[0],Qm()),t)],_l=(r,t)=>[r.run(J(r,t[0],tg()),t)],xl=(r,t)=>[r.run(J(r,t[0],eg()),t)],$i=(r,t,n)=>[r.run(J(r,t[0],Ei(n.min,n.max),n.cacheKey),t)],vl=r=>L({min:r.attributes.getFloat("min",Ne),max:r.attributes.getFloat("max",Fe)}),wl=(r,t)=>{let n=gg(r,t);return $i(r,[t[0]],n)},gg=(r,t)=>{if(t.length>=3&&(!r.session.isInitializer(t[1].dataId)||!r.session.isInitializer(t[2].dataId)))throw new Error("dynamic clip attributes are not allowed");let n=t.length>=3?t[1].numberData[0]:Ne,e=t.length>=3?t[2].numberData[0]:Fe;return L({min:n,max:e})},Il=(r,t)=>[r.run(J(r,t[0],ng()),t)],Ol=(r,t)=>[r.run(J(r,t[0],rg()),t)],Pl=(r,t,n)=>[r.run(J(r,t[0],og(n.alpha),n.cacheKey),t)],Sl=r=>L({alpha:r.attributes.getFloat("alpha",1)}),Al=(r,t)=>[r.run(J(r,t[0],ig()),t)],El=(r,t)=>[r.run(J(r,t[0],ag()),t)],Ni=(r,t)=>[r.run(J(r,t[0],sg()),t)],Dl=(r,t,n)=>[r.run(J(r,t[0],ug(n.alpha),n.cacheKey),t)],Ll=r=>L({alpha:r.attributes.getFloat("alpha",.01)}),$l=(r,t)=>[r.run(J(r,t[0],lg()),t)],Nl=(r,t)=>[r.run(J(r,t[0],cg()),t)],Fl=(r,t)=>[r.run(J(r,t[0],fg()),t)],Cl=(r,t)=>[r.run(J(r,t[0],Di()),t)],Rl=(r,t)=>[r.run(J(r,t[0],Li()),t)],Gl=(r,t)=>[r.run(J(r,t[0],dg()),t)],kl=(r,t)=>[r.run(J(r,t[0],pg()),t)],Ml=(r,t)=>[r.run(J(r,t[0],hg()),t)],Vl=(r,t)=>[r.run(J(r,t[0],bg()),t)]});function fe(r){let t;switch(r.activation){case"Relu":t=Di();break;case"Sigmoid":t=Li();break;case"Clip":t=Ei(r.clipMin,r.clipMax);break;default:return{activationFunction:"",applyActivation:""}}let n=t.name,e=t.body,o=`value = ${n}_(value);`;return{activationFunction:e,applyActivation:o}}var Xe,Ge=y(()=>{"use strict";V();Fi();Xe=r=>{let t=r.getString("activation","");if(t==="Clip"){let[n,e]=r.getFloats("activation_params",[Ne,Fe]);return{activation:t,clipMax:e,clipMin:n,activationCacheKey:`${t}:${n},${e}`}}return{activation:t,activationCacheKey:t}}});var Tg,_g,Bl,zl=y(()=>{"use strict";dt();H();C();sr();Ge();Tg=(r,t)=>({name:"GroupedConv",inputNames:r?["X","W","Bias"]:["X","W"],inputTypes:r?[0,0,0]:[0,0],cacheHint:t}),_g=(r,t,n,e)=>{let i=t.length>2?"value += getBias(output_channel);":"",a=t[0].dims.slice(),s=t[1].dims.slice(),u=s[0]/e.group;B.verbose("GroupedConv",`autpPad:${e.autoPad}, dilations:${e.dilations}, group:${e.group}, kernelShape:${e.kernelShape}, pads:${e.pads}, strides:${e.strides}`);let l=Ze(a,s,e.dilations,e.pads,e.strides),c=S(r.session.backend.glContext.version),{activationFunction:d,applyActivation:p}=fe(e),b=`
  const ivec2 strides = ivec2(${e.strides[0]}, ${e.strides[1]});
  const ivec2 pads = ivec2(${e.pads[0]}, ${e.pads[1]});
  ${d}
  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 / ${u};

    float value = 0.0;
    for (int wInChannel = 0; wInChannel < ${s[1]}; wInChannel++) {
      int input_channel = group_id * ${s[1]} + wInChannel;
      for (int wHeight = 0; wHeight < ${s[2]}; wHeight++) {
        int xHeight = xRCCorner.x + wHeight * ${e.dilations[0]};

        if (xHeight < 0 || xHeight >= ${a[2]}) {
          continue;
        }

        for (int wWidth = 0; wWidth < ${s[3]}; wWidth++) {
          int xWidth = xRCCorner.y + wWidth * ${e.dilations[1]};
          if (xWidth < 0 || xWidth >= ${a[3]}) {
            continue;
          }

          float xVal = getX(batch, input_channel, xWidth, xHeight);
          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
          value += xVal*wVal;
        }
      }
    }
    ${i}
    ${p}
    ${c.output} = vec4(value, .0, .0, .0);
  }
`;return{...n,output:{dims:l,type:t[0].type,textureType:0},shaderSource:b,hasMain:!0}},Bl=(r,t,n)=>{let e=Tg(t.length>2,n.cacheKey);return{...e,get:()=>_g(r,t,e,n)}}});var xg,vg,Ul,Wl=y(()=>{"use strict";H();C();Re();xg=r=>({name:"Im2Col (packed)",inputNames:["A"],inputTypes:[2],cacheHint:r}),vg=(r,t,n,e,o,i)=>{let a=n.dims,s=e.dims,u=2,l=3,c=o.length,d=[s[1]*s[2]*s[3],o[2]*o[3]],p=s[2]*s[3],b=ce(),g=S(r.session.backend.glContext.version),m="";for(let x=0;x<=1;x++)for(let A=0;A<=1;A++)m+=`
            blockIndex = rc.x + ${A};
            pos = rc.y + ${x};

            if(blockIndex < ${d[1]} && pos < ${d[0]}) {
              offsetY = int(blockIndex / (${o[c-1]})) * ${i.strides[0]} -
                ${i.pads[0]};
              d0 = offsetY + ${i.dilations[0]} * (imod(pos, ${p}) / ${s[2]});

              if(d0 < ${a[u]} && d0 >= 0) {
                offsetX = imod(blockIndex, ${o[c-1]}) * ${i.strides[1]} -
                  ${i.pads[1]};
                d1 = offsetX + ${i.dilations[1]} * imod(imod(pos, ${p}), ${s[2]});

                if(d1 < ${a[l]} && d1 >= 0) {

                  ch = int(float(pos)/ ${p}.);
                    innerDims = vec2(d0, d1);
                    result[${x*2+A}] = getChannel(
                      getA(0, ch, int(innerDims.x),
                      int(innerDims.y)), innerDims);
                }
              }
            }

          `;let w=`
      ${b}

      void main() {
        ivec2 rc = getOutputCoords();
          vec4 result = vec4(0.0);
          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
          vec2 innerDims;
          ${m}
          ${g.output} = result;
      }
            `;return{...t,output:{dims:d,type:n.type,textureType:2},shaderSource:w,hasMain:!0}},Ul=(r,t,n,e,o)=>{let i=xg(o.cacheKey);return{...i,get:()=>vg(r,i,t,n,e,o)}}});function Ig(r,t,n){let e=t[0].dims,o=t[1].dims,i=it.calcShape(e,o,!0);if(!i)throw new Error("Can't use matmul on the given tensors");let a=at(i.length),s=St(),{activationFunction:u,applyActivation:l}=fe(n),c=t.length>2,d=c?"value += getBiasForMatmul();":"",p=c?`${Ri(a,s,t[2].dims,i,!1)}`:"",b=i.length,g=e.length,m=o.length,w=e[e.length-1],x=`
    ${u}
    ${p}
    float process(int indices[${b}]) {
        int a[${g}];
        int b[${m}];
        bcastMatmulIndices_A(indices, a);
        bcastMatmulIndices_B(indices, b);

        float value;
        for (int k=0; k<${w}; ++k) {
            a[${g-1}] = k;
            b[${m-2}] = k;
            value += _A(a) * _B(b);
        }
        ${d}
        ${l}
        return value;
    }`;return{...r,output:{dims:i,type:t[0].type,textureType:0},shaderSource:x}}function Ci(r,t){let n=wg(r.length>2,t.activationCacheKey);return{...n,get:()=>Ig(n,r,t)}}function Ri(r,t,n,e,o){let i="",a=n.length,s=e.length,u=s-a;s<2&&a>0?i="coords":i=n.map((m,w)=>`coords.${t[w+u]}`).join(", ");let c=it.getBroadcastDims(n,e).map(m=>`coords.${t[m+u]} = 0;`).join(`
`),p=I.size(n)===1,b="vec4(outputValue.xx, outputValue.yy)";return p&&(b="vec4(outputValue.x)"),o?`
vec4 getBiasForMatmul() {
  ${r} coords = getOutputCoords();
  ${c}
  vec4 outputValue = getBias(${i});
  return ${b};
}`:`
float getBiasForMatmul() {
  ${r} coords = getOutputCoords();
  ${c}
  return getBias(coords.x);
}`}var jl,Hl,wg,Og,ur=y(()=>{"use strict";V();C();le();Ge();Gi();jl=(r,t,n)=>(Og(t),r.session.pack?[r.run(lr(r,t,n),t)]:[r.run(Ci(t,n),t)]),Hl=r=>Xe(r.attributes),wg=(r,t)=>({name:"MatMul",inputNames:r?["A","B","Bias"]:["A","B"],inputTypes:r?[0,0,0]:[0,0],cacheHint:t});Og=r=>{if(!r||r.length!==2)throw new Error("MatMul requires 2 inputs.");if(r[0].dims[r[0].dims.length-1]!==r[1].dims[r[1].dims.length-2])throw new Error("shared dimension does not match.");if(r[0].type!=="float32"&&r[0].type!=="float64"||r[1].type!=="float32"&&r[1].type!=="float64")throw new Error("inputs should be float type");if(r[0].type!==r[1].type)throw new Error("inputs types should match")}});function Ag(r,t,n,e){let o=[],i=[],a=n[0].dims,s=n[1].dims,u=a.length,l=s.length,c=e.length,d=c-u,p=c-l;o=a.map((D,q)=>`coords.${t[q+d]}`),o[u-1]="i*2",o.join(", "),i=s.map((D,q)=>`coords.${t[q+p]}`),i[l-2]="i*2",i.join(", ");let b=it.getBroadcastDims(a,e),g=it.getBroadcastDims(s,e),m=b.map(D=>`coords.${t[D+d]} = 0;`).join(`
`),w=g.map(D=>`coords.${t[D+p]} = 0;`).join(`
`),x=`int lastDim = coords.${t[c-1]};
  coords.${t[c-1]} = coords.${t[c-2]};
  coords.${t[c-2]} = lastDim;`;return`
vec4 getAAtOutCoordsMatmul(int i) {
  ${r} coords = getOutputCoords();
  ${x}
  ${m}
  vec4 outputValue = getA(${o});
  return outputValue;
}

vec4 getBAtOutCoordsMatmul(int i) {
  ${r} coords = getOutputCoords();
  ${x}
  ${w}
  vec4 outputValue = getB(${i});
  return outputValue;
}`}function Eg(r,t){let n="";for(let e=0;e<t-2;e++)n+=`rc.${r[e]}, `;return n+=`rc.${r[t-2]}, i*2`,n}function Dg(r,t){let n="";for(let e=0;e<t-2;e++)n+=`rc.${r[e]}, `;return n+=`i*2, rc.${r[t-1]}`,n}var Pg,Sg,lr,Gi=y(()=>{"use strict";V();H();C();le();Ge();ur();Pg=(r,t)=>({name:"MatMul (packed)",inputNames:r?["A","B","Bias"]:["A","B"],inputTypes:r?[2,2,2]:[2,2],cacheHint:t}),Sg=(r,t,n,e)=>{let o=n.length>2,i=o?"value += getBiasForMatmul();":"",a=n[0].dims,s=n[1].dims,u=it.calcShape(a,s,!0),l=!I.areEqual(n[0].dims,n[1].dims);if(!u)throw new Error("Can't use matmul on the given tensors");let c=a[a.length-1],d=Math.ceil(c/2),p=a.length,b=s.length,g=S(r.session.backend.glContext.version),m=at(u.length),w=u.length,x=St(),{activationFunction:A,applyActivation:D}=fe(e),q=o?`${Ri(m,x,n[2].dims,u,!0)}`:"",F=l?`${Ag(m,x,n,u)}`:"",xt=l?"getAAtOutCoordsMatmul(i)":`getA(${Eg(x,p)})`,At=l?"getBAtOutCoordsMatmul(i)":`getB(${Dg(x,b)})`,Ie=l?"":`${m} rc =
          getOutputCoords(); int lastDim = rc.${x[w-1]}; rc.${x[w-1]} =
          rc.${x[w-2]}; rc.${x[w-2]} = lastDim;
      `,Ve=`
            ${F}
            ${q}
            ${A}
            void main() {
              ${Ie}

              vec4 value = vec4(0);
              for (int i = 0; i < ${d}; i++) {
                vec4 a = ${xt};
                vec4 b = ${At};

                value += (a.rrbb * b.rgrg);
                value += (a.ggaa * b.baba);
              }
              ${i}
              ${D}
              ${g.output} = value;
            }`;return{...t,output:{dims:u,type:n[0].type,textureType:2},shaderSource:Ve,hasMain:!0}},lr=(r,t,n)=>{let e=Pg(t.length>2,n.activationCacheKey);return{...e,get:()=>Sg(r,e,t,n)}}});var ql,Kl=y(()=>{"use strict";sr();Wl();Gi();ql=(r,t,n)=>{let e=t[0].dims,o=t[1].dims,i=Ze(e,o,n.dilations,n.pads,n.strides),a=r.run(Ul(r,t[0],t[1],i,n),[t[0]]),s=r.reshapePacked(t[1],[o[0],o[1]*o[2]*o[3]]),u=t.length===3?[s,a,t[2]]:[s,a],l=r.run(lr(r,u,n),u);return r.reshapePacked(l,i)}});var Lg,$g,Xl,ki,Mi=y(()=>{"use strict";C();Lg=r=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:r}),$g=(r,t,n,e,o,i)=>{let a=n.dims,s=e.dims,u=o.length,l=ki(a,s,o,4),c=`
        const int XC = ${a[1]};
        const int XH = ${a[2]};
        const int XW = ${a[3]};
        const int KH = ${i.kernelShape[0]};
        const int KW = ${i.kernelShape[1]};
        const int dilationH = ${i.dilations[0]};
        const int dilationW = ${i.dilations[1]};
        const int strideH = ${i.strides[0]};
        const int strideW = ${i.strides[1]};
        const int padH = ${i.pads[0]};
        const int padW = ${i.pads[1]};
        const int KHKW = KH*KW;
        const int XCKHKW = XC * KHKW;
        const int outputChannels = 4;
        vec4 process(int indices[${u}]) {
          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[${a.length}];
              x[0] = b;
              x[1] = patchC;
              x[2] = xh2;
              x[3] = xw2;
              if(xh2 >= 0 &&
                  xh2 < XH &&
                  xw2 >= 0 &&
                  xw2 < XW) {
                value[i] = _X(x);
              }
            }
            ++p;
          }
          return value;
        }
        `;return{...t,output:{dims:l,type:n.type,textureType:4},shaderSource:c}},Xl=(r,t,n,e,o)=>{let i=Lg(o.cacheKey);return{...i,get:()=>$g(r,i,t,n,e,o)}},ki=(r,t,n,e=4)=>[n[0],n[2],n[3],Math.ceil(r[1]*t[2]*t[3]/e)]});var Ng,Fg,Zl,Jl=y(()=>{"use strict";V();H();C();Ge();Mi();Ng=(r,t)=>({name:"ConvDotProduct",inputNames:r?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:r?[0,4,0]:[0,4],cacheKey:t.activationCacheKey}),Fg=(r,t,n,e,o)=>{let i=n[0].dims,a=n[1].dims,s=[a[0],Math.ceil(i[1]*a[2]*a[3]/4)],u=ki(i,a,e),[l,c]=r.calculateTextureWidthAndHeight(s,4),d=I.computeStrides(u),[p,b]=r.calculateTextureWidthAndHeight(u,4),g=e.length,m=n.length<3?"0.0":"_B(b)",w=Math.ceil(i[1]*a[2]*a[3]/4),{activationFunction:x,applyActivation:A}=fe(o),D=S(r.session.backend.glContext.version),q=`
${x}
float process(int indices[${g}]) {
  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] * ${d[0]} + im2col[1] * ${d[1]} + im2col[2] * ${d[2]};
  int kernelOffset = indices[1] * ${s[1]};
  float value = ${m};
  for (int i = 0; i < ${w}; ++i) {
    vec2 im2colCoords = offsetToCoords(im2colOffset, ${p}, ${b});
    vec2 kernelCoords = offsetToCoords(kernelOffset, ${l}, ${c});
    value += dot(${D.texture2D}(Im2Col, im2colCoords), ${D.texture2D}(K, kernelCoords));
    ++im2colOffset;
    ++kernelOffset;
  }
  ${A}
  return value;
}`;return{...t,output:{dims:e,type:n[0].type,textureType:0},shaderSource:q}},Zl=(r,t,n,e)=>{let o=Ng(t.length>2,e);return{...o,get:()=>Fg(r,o,t,n,e)}}});var Ze,Vi,Cg,Rg,Gg,kg,Bi,Mg,sr=y(()=>{"use strict";et();V();zl();Kl();Jl();Ge();Mi();ur();Ze=(r,t,n,e,o)=>{let i=r[0],a=r.slice(2),s=a.length,u=t[0],c=t.slice(2).map((g,m)=>g+(g-1)*(n[m]-1)),p=a.map((g,m)=>g+e[m]+e[m+s]).map((g,m)=>Math.floor((g-c[m]+o[m])/o[m]));return[i,u].concat(...p)},Vi=(r,t,n)=>(Mg(t,n),Cg(r,t,n)),Cg=(r,t,n)=>{let e=kg(n,t),o=r.session.pack,i=e.kernelShape[0]===1&&e.kernelShape[1]===1;return e.group>1?[r.run(Bl(r,t,e),t)]:i&&o?[Rg(r,t,e)]:o&&t[0].dims.length===4&&t[0].dims[0]===1&&!i?[ql(r,t,e)]:[Gg(r,t,e)]},Rg=(r,t,n)=>{let e=t[0].dims,o=t[1].dims,i=Ze(e,o,n.dilations,n.pads,n.strides),a=r.reshapeUnpacked(t[0],[e[1],e[2]*e[3]]),s=r.reshapeUnpacked(t[1],[o[0],o[1]]),u=t.length>2?[s,a,t[2]]:[s,a],l=r.run(Ci(u,n),u);return r.reshapeUnpacked(l,i)},Gg=(r,t,n)=>{let e=t[0].dims,o=t[1].dims,i=Ze(e,o,n.dilations,n.pads,n.strides),a=r.run(Xl(r,t[0],t[1],i,n),[t[0]]),s=t.length===3?[a,t[1],t[2]]:[a,t[1]];return r.run(Zl(r,t,i,n),s)},kg=(r,t)=>{let n=r.kernelShape.slice();if(r.kernelShape.length===0)for(let i=2;i<t[1].dims.length;++i)n.push(t[1].dims[i]);let e=r.pads.slice();$e.adjustPadsBasedOnAutoPad(t[0].dims,r.strides,r.dilations,n,e,r.autoPad);let o=Object.assign({},r);return Object.assign(o,{kernelShape:n,pads:e,cacheKey:r.cacheKey}),o},Bi=r=>{let t=r.attributes,n=Xe(t),e=t.getString("auto_pad","NOTSET"),o=t.getInts("dilations",[1,1]),i=t.getInt("group",1),a=t.getInts("kernel_shape",[]),s=t.getInts("pads",[0,0,0,0]),u=t.getInts("strides",[1,1]);return L({autoPad:e,dilations:o,group:i,kernelShape:a,pads:s,strides:u,...n})},Mg=(r,t)=>{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");let n=r[0].dims[1],e=r[1].dims[1]*t.group;if(n!==e)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(r.length===3&&(r[2].dims.length!==1||r[1].dims[0]!==r[2].dims[0]))throw new Error("invalid bias");let o=r[0].dims.length-2;if(t.dilations.length!==o)throw new Error(`dilations should be ${o}D`);if(t.strides.length!==o)throw new Error(`strides should be ${o}D`);if(t.pads.length!==o*2)throw new Error(`pads should be ${o*2}D`);if(t.kernelShape.length!==0&&t.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape");if(r[0].type!=="float32"||r[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(r.length===3&&r[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}});var Vg,Bg,zg,Yl,Ug,Wg,jg,Hg,qg,Kg,Ql,Xg,tc=y(()=>{"use strict";et();H();C();Ge();Vg=(r,t,n,e,o,i)=>(r-1)*t+n+(e-1)*o+1-i,Bg=(r,t,n,e,o)=>{let i=Math.floor(r/2);t==="SAME_UPPER"?(n[e]=i,n[o]=r-i):t==="SAME_LOWER"&&(n[e]=r-i,n[o]=i)},zg=(r,t,n,e,o,i,a,s)=>{let u=r.length-2,l=s.length===0;for(let c=0;c<u;++c){let d=l?r[c+2]*i[c]:s[c],p=Vg(r[c+2],i[c],o[c],t[c],n[c],d);Bg(p,e,o,c,c+u),l&&s.push(i[c]*(r[c+2]-1)+a[c]+(t[c]-1)*n[c]+1-o[c]-o[c+u])}},Yl=(r,t,n)=>(Xg(t,n),Ug(r,t,n)),Ug=(r,t,n)=>{let e=Kg(n,t);return[qg(r,t,e)]},Wg=(r,t)=>({name:"ConvTranspose",inputNames:r?["X","W","B"]:["X","W"],inputTypes:r?[0,0,0]:[0,0],cacheHint:t}),jg=(r,t,n,e)=>{let i=t.length>2?"getB(output_channel)":"0.0",a=t[0].dims,s=t[1].dims,u=s[1],l=s[0]/e.group,c=[t[0].dims[0],t[1].dims[1]*e.group,...e.outputShape],d=S(r.session.backend.glContext.version),{activationFunction:p,applyActivation:b}=fe(e),g=`
  const ivec2 strides = ivec2(${e.strides[0]}, ${e.strides[1]});
  const ivec2 pads = ivec2(${e.pads[0]}, ${e.pads[1]});
  ${p}
  void main() {
    ivec4 coords = getOutputCoords();
    int batch = coords.x;
    int output_channel = coords.y;

    ivec2 loc = coords.zw + pads;

    int group_id = output_channel / ${u};
    int wOutChannel = output_channel - group_id * ${u};

    float value = ${i};
    for (int inChannelOffset = 0; inChannelOffset < ${l}; inChannelOffset++) {
      int input_channel = group_id * ${l} + inChannelOffset;
      for (int wWOff = 0; wWOff < ${s[2]}; wWOff++) {
        for (int wHOff = 0; wHOff < ${s[3]}; wHOff++) {
          ivec2 wOff = ivec2(wWOff * ${e.dilations[0]}, wHOff * ${e.dilations[1]});
          ivec2 wLoc = loc - wOff;
          ivec2 wLocIn = wLoc / strides;
          if (
            wLocIn * strides == wLoc &&
            wLocIn.x >= 0 && wLocIn.x < ${a[2]} &&
            wLocIn.y >= 0 && wLocIn.y < ${a[3]}
          ) {
            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
            value += xVal * wVal;
          }
        }
      }
    }
    ${b}
    ${d.output} = vec4(value, .0, .0, .0);
  }
`;return{...n,output:{dims:c,type:t[0].type,textureType:0},shaderSource:g,hasMain:!0}},Hg=(r,t,n)=>{let e=Wg(t.length>2,n.cacheKey);return{...e,get:()=>jg(r,t,e,n)}},qg=(r,t,n)=>r.run(Hg(r,t,n),t),Kg=(r,t)=>{let n=r.kernelShape.slice();if(r.kernelShape.length===0)for(let s=2;s<t[1].dims.length;++s)n.push(t[1].dims[s]);let e=r.pads.slice(),o=r.outputShape.slice(),i=t[0].dims;zg(i,n,r.dilations,r.autoPad,e,r.strides,r.outputPadding,o);let a=Object.assign({},r);return Object.assign(a,{kernelShape:n,pads:e,outputShape:o,cacheKey:r.cacheKey}),a},Ql=r=>{let t=r.attributes,n=Xe(t),e=t.getString("auto_pad","NOTSET"),o=t.getInts("dilations",[1,1]),i=t.getInt("group",1),a=t.getInts("kernel_shape",[]),s=t.getInts("output_padding",[0,0]),u=t.getInts("output_shape",[]),l=t.getInts("pads",[0,0,0,0]),c=t.getInts("strides",[1,1]);return L({autoPad:e,dilations:o,group:i,kernelShape:a,outputPadding:s,outputShape:u,pads:l,strides:c,...n})},Xg=(r,t)=>{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");let n=r[0].dims[1],e=r[1].dims[0];if(n!==e)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let o=r[1].dims[1]*t.group;if(r.length===3&&(r[2].dims.length!==1||r[2].dims[0]!==o))throw new Error("invalid bias");let i=r[0].dims.length-2;if(t.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(t.strides.length!==i)throw new Error(`strides should be ${i}D`);if(t.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(t.outputPadding.length!==i)throw new Error(`output_padding should be ${i}D`);if(t.kernelShape.length!==0&&t.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape");if(t.outputShape.length!==0&&t.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")}});var ec,ke,nc,Zg,rc,Jg,Yg,Qg,cr=y(()=>{"use strict";et();V();C();ec={name:"Transpose",inputNames:["A"],inputTypes:[0]},ke=(r,t,n)=>(Qg(t),[r.run({...ec,cacheHint:n.cacheKey,get:()=>Zg(r,t[0],n.perm)},t)]),nc=r=>L({perm:r.attributes.getInts("perm",[])}),Zg=(r,t,n)=>{let e=t.dims;n=rc(e,n);let o=Jg(e,n),i=e.length,a=`
      ${Yg("perm",n,i)}
      float process(int indices[${i}]) {
        int a[${i}];
        perm(a, indices);
        return _A(a);
      }`;return{...ec,output:{dims:o,type:t.type,textureType:0},shaderSource:a}},rc=(r,t)=>(t&&t.length!==r.length&&(t=[...r.keys()].reverse()),t),Jg=(r,t)=>(t=rc(r,t),I.sortBasedOnPerm(r,t)),Yg=(r,t,n)=>{let e=[];e.push(`void ${r}(out int a[${n}], int src[${n}]) {`);for(let o=0;o<n;++o)e.push(`	a[${t[o]}]=src[${o}];`);return e.push("	}"),e.join(`
`)},Qg=r=>{if(!r||r.length!==1)throw new Error("Transpose requires 1 input.");if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("input should be float tensor")}});var oc,ic,ty,ac=y(()=>{"use strict";cr();oc=(r,t,n)=>{ty(t);let e=n.blocksize,o=e*e,i=n.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],a=n.mode==="DCR"?[t[0].dims[0],e,e,t[0].dims[1]/o,t[0].dims[2],t[0].dims[3]]:[t[0].dims[0],t[0].dims[1]/o,e,e,t[0].dims[2],t[0].dims[3]],s=r.reshapeUnpacked(t[0],a),u={perm:i,cacheKey:`${i}`},[l]=ke(r,[s],u),c=[t[0].dims[0],t[0].dims[1]/o,t[0].dims[2]*e,t[0].dims[3]*e];return[r.reshapeUnpacked(l,c)]},ic=r=>{let t=r.attributes.getInt("blocksize");if(t<1)throw new Error(`blocksize must be >= 1, but got : ${t} for DepthToSpace`);let n=r.attributes.getString("mode","DCR");if(n!=="DCR"&&n!=="CRD")throw new Error(`unrecognized mode: ${n} for DepthToSpace`);return{mode:n,blocksize:t}},ty=r=>{if(r.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${r.length}`);if(r[0].type==="string"||r[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}});var sc,uc,ey,lc=y(()=>{"use strict";V();sc=(r,t,n)=>{ey(t,n);let e=I.flattenShape(t[0].dims,n);return[r.reshapeUnpacked(t[0],e)]},uc=r=>r.attributes.getInt("axis",1),ey=(r,t)=>{if(!r||r.length!==1)throw new Error("Flatten requires 1 input.");let n=r[0].dims.length;if(n===0)throw new Error("scalar tensor is not supported.");if(t<-n||t>n)throw new Error("Invalid axis");if(r[0].type==="string")throw new Error("string tensor is not supported.")}});var ve,xn=y(()=>{"use strict";ve=["float32","float64","int32","int16","int8","uint16","uint32","uint8"]});var cc,fc,ny,ry,oy,iy,dc=y(()=>{"use strict";et();xn();V();C();cc=(r,t,n)=>(iy(t,n.axis),[r.run(oy(r,t,n),t)]),fc=r=>L({axis:r.attributes.getInt("axis",0)}),ny={name:"Gather",inputNames:["A","B"],inputTypes:[0,0]},ry=(r,t,n,e)=>{let o=n[0].dims.slice(),i=n[1].dims.slice(),a=new Array(o.length+i.length-1);e=I.normalizeAxis(e,o.length);let s=[];for(let p=0;p<a.length;p++)p<e?(a[p]=o[p],s.push(`inputIdx[${p}] = outputIdx[${p}];`)):p<e+i.length?(a[p]=i[p-e],s.push(`indexDataIdx[${p-e}] = outputIdx[${p}];`)):(a[p]=o[p-i.length+1],s.push(`inputIdx[${p-i.length+1}] = outputIdx[${p}];`));let u=a.length||1,l=o.length,c=i.length||1,d=`
      float process(int outputIdx[${u}]) {
        int inputIdx[${l}];
        int indexDataIdx[${c}];
        indexDataIdx[0] = 0;
        ${s.join(`
        `)}
        int idx = int(_B(indexDataIdx));
        inputIdx[${e}] = idx < 0 ? idx + ${o[e]} : idx;
        return _A(inputIdx);
      }`;return{...t,output:{dims:a,type:n[0].type,textureType:0},shaderSource:d}},oy=(r,t,n)=>{let e={...ny,cacheHint:n.cacheKey};return{...e,get:()=>ry(r,e,t,n.axis)}},iy=(r,t)=>{if(!r||r.length!==2)throw new Error("Gather requires 2 inputs.");let n=r[0].dims.length;if(n<1)throw new Error("Invalid input shape.");if(t<-n||t>n-1)throw new Error("Invalid axis.");if(ve.indexOf(r[0].type)===-1)throw new Error("Invaid input type.");if(r[1].type!=="int32"&&r[1].type!=="int16")throw new Error("Invaid input type.")}});var zi,pc,hc,bc,ay,sy,uy,mc=y(()=>{"use strict";et();V();C();zi=(r,t,n)=>(uy(t,n),[r.run(ay(t,n),t)]),pc=(r,t)=>{let n=r.attributes.getInt("transA",0)!==0,e=r.attributes.getInt("transB",0)!==0,o=r.attributes.getFloat("alpha",1),i=r.attributes.getFloat("beta",1);return L({transA:n,transB:e,alpha:o,beta:i,isOptionalC:t})},hc=r=>pc(r,!1),bc=r=>pc(r,!0),ay=(r,t)=>{let n={name:"Gemm",inputNames:r.length===3?["A","B","C"]:["A","B"],inputTypes:r.length===3?[0,0,0]:[0,0],key:t.cacheKey};return{...n,get:()=>sy(n,r,t)}},sy=(r,t,n)=>{let e=t[0].dims.slice(),o=t[1].dims.slice(),[i,a]=Qn.getShapeOfGemmResult(e,n.transA,o,n.transB,t.length===3?t[2].dims:void 0),s=[i,a];if(!s)throw new Error("Can't use gemm on the given tensors");let u=e[e.length-1],l="";n.transA&&(u=e[0]),n.transA&&n.transB?l="value += _A_T(a) * _B_T(b);":n.transA&&!n.transB?l="value += _A_T(a) * _B(b);":!n.transA&&n.transB?l="value += _A(a) * _B_T(b);":!n.transA&&!n.transB&&(l="value += _A(a) * _B(b);");let c=s.length,d=t.length===3?`int c[${t[2].dims.length}];`:"",p=t.length===3?"bcastIndices_C(indices, c);":"",b=t.length===3?"value += beta * _C(c);":"",g=`
      float process(int indices[${c}]) {
          int a[${c}];
          int b[${c}];
          ${d}

          copyVec(indices, a);
          copyVec(indices, b);
          ${p}

          float value = 0.0;
          for (int k=0; k<${u}; ++k) {
              a[${c-1}] = k;
              b[${c-2}] = k;
              ${l}
          }

          value = value * alpha;
          ${b}
          return value;
      }`;return{...r,output:{dims:s,type:t[0].type,textureType:0},variables:[{name:"alpha",type:"float",data:n.alpha},{name:"beta",type:"float",data:n.beta}],shaderSource:g}},uy=(r,t)=>{if(!r)throw new Error("Input is missing");if(t.isOptionalC&&(r.length<2||r.length>3))throw new Error("Invaid input shape.");if(!t.isOptionalC&&r.length!==3)throw new Error("Gemm requires 3 inputs");if(r.length===3&&r[2].dims.length!==1&&r[2].dims.length!==2)throw new Error("Invalid input shape of C");if(r[0].type!=="float32"&&r[0].type!=="float64"||r[1].type!=="float32"&&r[1].type!=="float64"||r.length===3&&r[2].type!=="float32"&&r[2].type!=="float64")throw new Error("Invalid input type.");if(r[0].type!==r[1].type||r.length===3&&r[0].type!==r[2].type)throw new Error("Input types are mismatched")}});var gc,yc,ly,cy,fy,dy,py,Tc=y(()=>{"use strict";et();C();gc=(r,t,n)=>(py(t),[r.run(fy(r,t,n),t)]),yc=r=>{let t=r.attributes.getFloat("scale"),n=r.attributes.getFloats("bias");return L({scale:t,bias:n})},ly={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},cy=(r,t,n,e)=>{let o=n[0].dims.slice(),i=o.length,s=`
      ${dy(e.bias.length)}
      float process(int indices[${i}]) {
        return _X(indices) * scale + getBias(bias, indices[1]);
      }`;return{...t,output:{dims:o,type:n[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:e.bias.length,data:e.bias},{name:"scale",type:"float",data:e.scale}],shaderSource:s}},fy=(r,t,n)=>{let e={...ly,cacheHint:n.cacheKey};return{...e,get:()=>cy(r,e,t,n)}},dy=r=>{let t=[`float getBias(float bias[${r}], int channel) {`];for(let n=0;n<r;++n)n===0?t.push(`	if (channel == ${n}) { return bias[${n}]; }`):n===r-1?t.push(`	else { return bias[${n}]; }`):t.push(`	else if (channel == ${n}) { return bias[${n}]; }`);return t.push("	}"),t.join(`
`)},py=r=>{if(!r||r.length!==1)throw new Error("ImageScaler requires 1 input.");if(r[0].dims.length!==4)throw new Error("Invalid input shape.");if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("Invalid input type.")}});var xc,vc,_c,hy,by,my,gy,yy,Ty,wc=y(()=>{"use strict";H();C();xc=(r,t,n)=>{Ty(t);let e=r.run(by(t[0]),t);return[r.run(yy(r,t[0],n,e.dims),[t[0],e,t[1],t[2]])]},vc=r=>r.attributes.getFloat("epsilon",1e-5),_c={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},hy=(r,t)=>{let n=t.dims.slice(),e=n[1],o=n[2]*n[3],i=[n[0],e],a=`
      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<${n[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${n[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += x;
          }
        }
        float mean = temp / float(${o});
        temp = 0.0;
        for(int a2=0; a2<${n[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${n[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += (x - mean) * (x - mean);
          }
        }
        v.r = mean;
        v.g = temp / float(${o});

        return v;
      }`;return{...r,output:{dims:i,type:t.type,textureType:4},shaderSource:a}},by=r=>({..._c,get:()=>hy(_c,r)}),my={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},gy=(r,t,n,e,o)=>{let i=S(r.session.backend.glContext.version),[a,s]=r.calculateTextureWidthAndHeight(o,4),[u,l]=[a/4,s],c=`
      vec4 get_MeanAndVariance(int[2] mv) {
        int offset = indicesToOffset_MeanAndVariance(mv);
        vec2 coords = offsetToCoords(offset, ${u}, ${l});
        return ${i.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{...t,output:{dims:n.dims,type:n.type,textureType:0},variables:[{name:"epsilon",type:"float",data:e}],shaderSource:c}},yy=(r,t,n,e)=>{let o={...my,cacheHint:`${n}`};return{...o,get:()=>gy(r,o,t,n,e)}},Ty=r=>{if(!r||r.length!==3)throw new Error("InstanceNormalization requires 3 inputs.");let t=r[0],n=r[1],e=r[2];if(t.dims.length<3||n.dims.length!==1||e.dims.length!==1)throw new Error("Invalid input shape.");if(n.dims[0]!==t.dims[1]||e.dims[0]!==t.dims[1])throw new Error("Input shapes are mismatched.");if(t.type!=="float32"&&t.type!=="float64"||n.type!=="float32"&&n.type!=="float64"||e.type!=="float32"&&e.type!=="float64")throw new Error("Invalid input type.");if(r[0].dims.length!==4)throw new Error("Only support 4-D input shape.")}});function _y(r,t){let n=r[0].dims[1],e=r[0].dims.length,o=-Math.floor((t.size-1)/2),i=Math.ceil((t.size-1)/2),a=`float(${t.alpha}) / float(${t.size})`,s=`float(${t.bias})`,u=`float(${t.beta})`,l=`
    float process(int indices[${e}]) {
        int c = indices[1];
        float x = _X(indices);
        float square_sum = 0.0;

        for (int i = ${o}; i <= ${i}; i++) {
          int idx = c + i;
          if (c >= 0 && c < ${n}) {
            indices[1] = idx;
            float j = _X(indices);
            square_sum += j * j;
          }
        }
        return x / pow(${s} + ${a} * square_sum, ${u});
    }`;return{...Pc,cacheHint:t.cacheKey,output:{dims:r[0].dims,type:r[0].type,textureType:0},shaderSource:l}}function xy(r,t){return{...Pc,cacheHint:t.cacheKey,get:()=>_y(r,t)}}var Ic,Oc,Pc,vy,Sc=y(()=>{"use strict";et();C();Ic=(r,t,n)=>(vy(t),[r.run(xy(t,n),t)]),Oc=r=>{let t=r.attributes.getFloat("alpha",1e-4),n=r.attributes.getFloat("beta",.75),e=r.attributes.getFloat("bias",1),o=r.attributes.getInt("size");return L({alpha:t,beta:n,bias:e,size:o})},Pc={name:"LRN",inputNames:["X"],inputTypes:[0]};vy=r=>{if(!r||r.length!==1)throw new Error("LRN requires 1 input.");if(r[0].dims.length!==4)throw new Error('currently only support LRN for input with "NCHW" format');if(r[0].type!=="float32")throw new Error("input should be float type")}});var wy,Ui,Ac,Ec,Dc,Iy,Oy,Py,Sy,Ay,Ey,Dy,Ly,Lc=y(()=>{"use strict";et();V();H();C();wy={name:"Pad",inputNames:["A"],inputTypes:[0]},Ui=(r,t,n)=>(Py(t),[r.run({...wy,cacheHint:n.cacheKey,get:()=>Oy(r,t[0],n)},t)]),Ac=r=>{let t=r.attributes.getString("mode","constant"),n=r.attributes.getFloat("value",0),e=r.attributes.getInts("pads");return L({mode:t,value:n,pads:e})},Ec=(r,t,n)=>{Sy(t);let e=Iy(r,t,n);return Ui(r,[t[0]],e)},Dc=r=>r.attributes.getString("mode","constant"),Iy=(r,t,n)=>{if(!r.session.isInitializer(t[1].dataId)||t.length>=3&&!r.session.isInitializer(t[2].dataId))throw new Error("dynamic pad attributes are not allowed");let e=Array.from(t[1].integerData),o=t.length>=3?t[2].floatData[0]:0;return L({mode:n,pads:e,value:o})},Oy=(r,t,n)=>{let e=I.padShape(t.dims.slice(),n.pads),o=e.length,a=`
      ${Ay(r,t,n)}
      float process(int[${o}] indices) {
          return padA(indices);
      }`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:e,type:t.type,textureType:0},shaderSource:a}},Py=r=>{if(!r||r.length!==1)throw new Error("Pad requires 1 input");if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("Invalid input type.")},Sy=r=>{if(!r||r.length!==2&&r.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(r[1].type!=="int32")throw new Error("Invalid input type.");if(r.length>=3&&r[2].type==="string")throw new Error("Invalid input type.")},Ay=(r,t,n)=>{let e=S(r.session.backend.glContext.version),[o,i]=r.calculateTextureWidthAndHeight(t.dims,0),a=I.computeStrides(t.dims);switch(n.mode){case"constant":return Ey(e,t.dims,a,o,i,n.pads,n.value);case"reflect":return Dy(e,t.dims,a,o,i,n.pads);case"edge":return Ly(e,t.dims,a,o,i,n.pads);default:throw new Error("Invalid mode")}},Ey=(r,t,n,e,o,i,a)=>{let s=t.length,u="";for(let l=s-1;l>=0;--l)u+=`
        k = m[${l}] - ${i[l]};
        if (k < 0)  return constant;
        if (k >= ${t[l]}) return constant;
        offset += k * ${n[l]};
        `;return`
      float padA(int m[${s}]) {
        const float constant = float(${a});
        int offset = 0;
        int k = 0;
        ${u}
        vec2 coords = offsetToCoords(offset, ${e}, ${o});
        float value = getColorAsFloat(${r.texture2D}(A, coords));
        return value;
      }
      `},Dy=(r,t,n,e,o,i)=>{let a=t.length,s="";for(let u=a-1;u>=0;--u)s+=`
        k = m[${u}] - ${i[u]};
        if (k < 0) { k = -k; }
        {
          const int _2n_1 = ${2*(t[u]-1)};
          k = int( mod( float(k), float(_2n_1) ) ) ;
          if(k >= ${t[u]}) { k = _2n_1 - k; }
        }
        offset += k * ${n[u]};
        `;return`
      float padA(int m[${a}]) {
        int offset = 0;
        int k = 0;
        ${s}
        vec2 coords = offsetToCoords(offset, ${e}, ${o});
        float value = getColorAsFloat(${r.texture2D}(A, coords));
        return value;
      }
      `},Ly=(r,t,n,e,o,i)=>{let a=t.length,s="";for(let u=a-1;u>=0;--u)s+=`
        k = m[${u}] - ${i[u]};
        if (k < 0)  k = 0;
        if (k >= ${t[u]}) k = ${t[u]-1};
        offset += k * ${n[u]};
      `;return`
      float padA(int m[${a}]) {
        int offset = 0;
        int k = 0;
        ${s}
        vec2 coords = offsetToCoords(offset, ${e}, ${o});
        float value = getColorAsFloat(${r.texture2D}(A, coords));
        return value;
      }
      `}});var Nc,Fc,Cc,Rc,Gc,kc,Mc,Vc,Bc,$y,$c,zc,dr,Uc,fr,Ny,Wc=y(()=>{"use strict";et();V();C();Nc=(r,t,n)=>{dr(t);let e={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:n.cacheKey};return[r.run({...e,get:()=>Cc(t,e,!1,n)},t)]},Fc=r=>{let t=r.attributes.getString("auto_pad","NOTSET"),n=r.attributes.getInt("ceil_mode",0),e=r.attributes.getInt("count_include_pad",0)!==0,o=r.attributes.getInts("kernel_shape"),i=r.attributes.getInts("strides",[]),a=r.attributes.getInts("pads",[]);if(n!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return L({autoPad:t,ceilMode:n,countIncludePad:e,kernelShape:o,strides:i,pads:a})},Cc=(r,t,n,e)=>{let[o,i]=Bc(r,e,n),a=I.size(o.kernelShape),s="value += _X(x);",u="";o.countIncludePad?u+=`value /= float(${a});`:u+=`value /= float(${a} - pad);`;let c=`
        ${Uc(r[0].dims,o,s,u,"0.0")}
      `;return{...t,output:{dims:i,type:r[0].type,textureType:0},shaderSource:c}},Rc=(r,t,n)=>{dr(t);let e={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${n.countIncludePad}`};return[r.run({...e,get:()=>Cc(t,e,!0,n)},t)]},Gc=r=>{let t=r.attributes.getInt("count_include_pad",0)!==0;return L({autoPad:"",ceilMode:0,countIncludePad:t,kernelShape:[],strides:[],pads:[]})},kc=(r,t,n)=>{dr(t);let e={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:n.cacheKey};return[r.run({...e,get:()=>Vc(t,e,!1,n)},t)]},Mc=r=>{let t=r.attributes.getString("auto_pad","NOTSET"),n=r.attributes.getInt("ceil_mode",0),e=r.attributes.getInts("kernel_shape"),o=r.attributes.getInts("strides",[]),i=r.attributes.getInts("pads",[]),a=r.attributes.getInt("storage_order",0),s=r.attributes.getInts("dilations",[]);if(a!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(n!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return L({autoPad:t,ceilMode:n,countIncludePad:!1,kernelShape:e,strides:o,pads:i,storageOrder:a,dilations:s})},Vc=(r,t,n,e)=>{let[o,i]=Bc(r,e,n),l=`
      ${Uc(r[0].dims,o,`
      value = max(_X(x), value);
    `,"","-1e5")}
    `;return{...t,output:{dims:i,type:r[0].type,textureType:0},shaderSource:l}},Bc=(r,t,n)=>{let e=r[0].dims.slice(),o=Object.hasOwnProperty.call(t,"dilations"),i=t.kernelShape.slice(),a=t.strides.slice(),s=o?t.dilations.slice():[],u=t.pads.slice();$e.adjustPoolAttributes(n,e,i,a,s,u);let l=$e.computePoolOutputShape(n,e,a,s,i,u,t.autoPad),c=Object.assign({},t);return o?Object.assign(c,{kernelShape:i,strides:a,pads:u,dilations:s,cacheKey:t.cacheKey}):Object.assign(c,{kernelShape:i,strides:a,pads:u,cacheKey:t.cacheKey}),[c,l]},$y={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},$c={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},zc=(r,t)=>(dr(t),[r.run({...$c,get:()=>Vc(t,$c,!0,$y)},t)]),dr=r=>{if(!r||r.length!==1)throw new Error("Pool ops requires 1 input.");if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("Invalid input type.")},Uc=(r,t,n,e,o)=>{let i=r.length;if(t.kernelShape.length<=2){let a=t.kernelShape[t.kernelShape.length-1],s=t.strides[t.strides.length-1],u=t.pads[t.pads.length/2-1],l=t.pads[t.pads.length-1],c=r[i-1],d="",p="",b="";if(u+l!==0?d=`
          for (int i = 0; i < ${a}; i++) {
            x[${i} - 1] = indices[${i} - 1] * ${s} - ${u} + i;
            if (x[${i} - 1] < 0 || x[${i} - 1] >= ${c}) {
              pad++;
              continue;
            }
            ${n}
          }`:d=`
          for (int i = 0; i < ${a}; i++) {
            x[${i} - 1] = indices[${i} - 1] * ${s} - ${u} + i;
            ${n}
          }`,t.kernelShape.length===2){let m=t.kernelShape[t.kernelShape.length-2],w=t.strides[t.strides.length-2],x=t.pads[t.pads.length/2-2],A=t.pads[t.pads.length-2],D=r[i-2];x+A!==0?p=`
            for (int j = 0; j < ${m}; j++) {
              x[${i} - 2] = indices[${i} - 2] * ${w} - ${x} + j;
              if (x[${i} - 2] < 0 || x[${i} - 2] >= ${D}) {
                pad+= ${a};
                continue;
              }
          `:p=`
            for (int j = 0; j < ${m}; j++) {
              x[${i} - 2] = indices[${i} - 2] * ${w} - ${x} + j;
            `,b=`
          }
        `}return`
        float process(int indices[${i}]) {
          int x[${i}];
          copyVec(indices, x);

          float value = ${o};
          int pad = 0;
          ${p}
          ${d}
          ${b}
          ${e}
          return value;
        }
      `}else{let a=I.size(t.kernelShape),s=I.computeStrides(t.kernelShape),u=s.length,l=t.pads.length,c=Ny(u),d=fr(r,"inputDims"),p=fr(t.pads,"pads"),b=fr(s,"kernelStrides"),g=fr(t.strides,"strides"),m=t.pads.reduce((A,D)=>A+D),w="";return m?w=`
            if (x[j] >= inputDims[j] || x[j] < 0) {
              pad++;
              isPad = true;
              break;
            }
          }
          if (!isPad) {
            ${n}
          }`:w=`
          }
          ${n}
        `,`
        ${c}
        float process(int indices[${i}]) {
          int x[${i}];
          copyVec(indices, x);
          int offset[${u}];
          int pads[${l}];
          int inputDims[${i}];
          int kernelStrides[${u}];
          int strides[${u}];
          ${p}
          ${d}
          ${g}
          ${b}

          float value = ${o};
          int pad = 0;
          bool isPad = false;
          for (int i = 0; i < ${a}; i++) {
            offsetToIndices(i, kernelStrides, offset);
            isPad = false;
            for (int j = ${i} - ${u}; j < ${i}; j++) {
              x[j] = indices[j] * strides[j - ${i} + ${u}]
                + offset[j - ${i} + ${u}] - pads[j - 2];
              ${w}
          }
          ${e}

          return value;
        }
      `}},fr=(r,t)=>{let n="";for(let e=0;e<r.length;e++)n+=`
      ${t}[${e}] = ${r[e]};
    `;return n},Ny=r=>`
  void offsetToIndices(int offset, int[${r}] strides, out int[${r}] indices) {
    if (${r} == 0) {
      return;
    }
    for (int i = 0; i < ${r} - 1; ++i) {
      indices[i] = offset / strides[i];
      offset -= indices[i] * strides[i];
    }
    indices[${r} - 1] = offset;
  }`});var Me,we,Fy,Cy,jc,Hc,qc,Kc,Xc,Zc,Jc,Yc=y(()=>{"use strict";et();xn();V();C();Me=(r,t,n,e,o)=>{Cy(t);let i={name:e,inputNames:["A"],inputTypes:[0]};return[r.run({...i,cacheHint:n.cacheKey,get:()=>Fy(r,t,n,e,o,i)},t)]},we=r=>{let t=r.attributes.getInts("axes",[]),n=r.attributes.getInt("keepdims",1)===1;return L({axes:t,keepDims:n})},Fy=(r,t,n,e,o,i)=>{let a=[],s=t[0].dims.length||1,u=[],l=I.normalizeAxes(n.axes,t[0].dims.length),c=o(t,l),d=c[1];for(let g=0;g<t[0].dims.length;g++)l.indexOf(g)>=0||l.length===0?(n.keepDims&&a.push(1),d=`
          for(int j${g} = 0; j${g} < ${t[0].dims[g]}; j${g}++) {
            inputIdx[${g}] = j${g};
            ${d}
          }`):(u.push(`inputIdx[${g}] = outputIdx[${a.length}];`),a.push(t[0].dims[g]));let b=`
      float process(int outputIdx[${a.length||1}]) {
        float value;                 // final result
        int inputIdx[${s}];      // addressing input data
        ${u.join(`
`)}
        ${c[0]}       // init ops for reduce max/min
        ${d}
        ${c[2]}       // final computation for reduce mean
        return value;
      }`;return{...i,output:{dims:a,type:t[0].type,textureType:0},shaderSource:b}},Cy=r=>{if(!r||r.length!==1)throw new Error("Reduce op requires 1 input.");if(ve.indexOf(r[0].type)===-1)throw new Error("Invalid input type.")},jc=(r,t,n)=>Me(r,t,n,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),Hc=(r,t,n)=>Me(r,t,n,"ReduceMean",(o,i)=>{let a=1;for(let s=0;s<o[0].dims.length;s++)(i.indexOf(s)>=0||i.length===0)&&(a*=o[0].dims[s]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${a}.;`]}),qc=(r,t,n)=>Me(r,t,n,"ReduceMax",(o,i)=>{let a=[];for(let s=0;s<o[0].dims.length;s++)(i.indexOf(s)>=0||i.length===0)&&a.push(`inputIdx[${s}] = 0;`);return[`${a.join(`
`)}
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`)}
value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),Xc=(r,t,n)=>Me(r,t,n,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),Zc=(r,t,n)=>Me(r,t,n,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),Jc=(r,t,n)=>Me(r,t,n,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])});var Qc,tf=y(()=>{"use strict";V();Qc=(r,t)=>{let n=I.calculateReshapedDims(t[0].dims,t[1].integerData);return r.session.pack?[r.reshapePacked(t[0],n)]:[r.reshapeUnpacked(t[0],n)]}});var ef,Wi,nf,rf,vn,Ry,ji,pr,Hi=y(()=>{"use strict";et();H();C();ef={name:"Upsample",inputNames:["X"],inputTypes:[0]},Wi=(r,t,n)=>(ji(t,n),[r.run({...ef,cacheHint:n.cacheKey,get:()=>Ry(r,t,n)},t)]),nf=r=>vn(r,7),rf=r=>vn(r,9),vn=(r,t)=>{let n=t>=10,e=r.attributes.getString("mode","nearest");if(e!=="nearest"&&e!=="linear"&&(t<11||e!=="cubic"))throw new Error(`unrecognized mode: ${e}`);let o=[];t<9&&(o=r.attributes.getFloats("scales"),pr(o,e,n));let i=r.attributes.getFloat("extrapolation_value",0),a=t>10?r.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(a)===-1)throw new Error(`coordinate_transform_mode '${a}' is not supported`);let s=a==="tf_crop_and_resize",u=s,l=e==="nearest"&&t>=11?r.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(l)===-1)throw new Error(`nearest_mode '${l}' is not supported`);let c=r.attributes.getFloat("cubic_coeff_a",-.75),d=r.attributes.getInt("exclude_outside",0)!==0;if(d&&e!=="cubic")throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");let p=t<11?!0:e==="nearest"&&a==="asymmetric"&&l==="floor",b=0,g=0,m=0;return t>10?r.inputs.length>2?(b=1,g=2,m=3):(g=1,m=2):t===9&&(g=1),L({opset:t,isResize:n,mode:e,scales:o,extrapolationValue:i,coordinateTransformMode:a,useExtrapolation:u,needRoiInput:s,nearestMode:l,cubicCoefficientA:c,excludeOutside:d,useNearest2xOptimization:p,roiInputIdx:b,scalesInputIdx:g,sizesInputIdx:m})},Ry=(r,t,n)=>{let e=S(r.session.backend.glContext.version),[o,i]=r.calculateTextureWidthAndHeight(t[0].dims,0),a=t[0].dims.map((m,w)=>Math.floor(m*n.scales[w])),[s,u]=r.calculateTextureWidthAndHeight(a,0),l=a.length,c=new Array(l),d=new Array(l),p=`
      int output_pitches[${l}];
      int input_pitches[${l}];
      `;for(let m=l-1;m>=0;m--)c[m]=m===l-1?1:c[m+1]*a[m+1],d[m]=m===l-1?1:d[m+1]*t[0].dims[m+1],p+=`
        output_pitches[${m}] = ${c[m]};
        input_pitches[${m}] = ${d[m]};
        `;let b=`
      float getInputFloat(int index) {
        vec2 coords = offsetToCoords(index, ${o}, ${i});
        float value = getColorAsFloat(${e.texture2D}(X, coords));
        return value;
      }
      `,g=n.mode==="nearest"?`
    ${b}
    float process(int indices[${l}]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${s}, ${u});

      ${p}

      int d, m;
      for (int dim = 0; dim < ${l}; ++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);
    }`:l===4?`
    ${b}
    float process(int indices[4]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${s}, ${u});

      ${p}

      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 == (${t[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]);
    }`:`
    ${b}
    float process(int indices[2]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${s}, ${u});

      ${p}

      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 == (${t[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{...ef,output:{dims:a,type:t[0].type,textureType:0},shaderSource:g,variables:[{name:"scales",type:"int",arrayLength:n.scales.length,data:n.scales.map(m=>Math.ceil(m))}]}},ji=(r,t)=>{if(!r||t.opset<9&&r.length!==1||t.opset>=9&&t.opset<11&&r.length!==2||t.opset>=11&&r.length<2)throw new Error("invalid inputs.");if(t.scales.length>0&&r[0].dims.length!==t.scales.length)throw new Error("Invalid input shape.");if(r[0].type==="string")throw new Error("Invalid input tensor types.")},pr=(r,t,n)=>{if(n){for(let e of r)if(e<=0)throw new Error("Scale value should be greater than 0.")}else for(let e of r)if(e<1)throw new Error("Scale value should be greater than or equal to 1.");if((t==="linear"||t==="cubic")&&r.length!==2&&(r.length!==4||r[0]!==1||r[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 ${n?"Resize":"Upsample"} opeartor.`)}});var qi,Ki,of,af,Gy,ky,My,Vy,sf=y(()=>{"use strict";H();C();le();Re();Hi();qi={name:"Resize",inputNames:["A"],inputTypes:[2]},Ki=(r,t,n)=>(ji(t,n),[r.run({...qi,cacheHint:n.cacheKey,get:()=>Gy(r,t,n)},t)]),of=r=>vn(r,10),af=r=>vn(r,11),Gy=(r,t,n)=>{let e=S(r.session.backend.glContext.version),[o,i]=ky(t,n);if(o.every(D=>D===1)&&n.coordinateTransformMode!=="tf_crop_and_resize")return{...qi,output:{dims:i,type:t[0].type,textureType:2},hasMain:!0,shaderSource:`void main() {
                    vec4 v = ${e.texture2D}(X, TexCoords);
                    ${e.output} = v;
                }`};let s=i.length;if(s<2)throw new Error(`output dimension should be at least 2, but got ${s}`);let u=i[s-2],l=i[s-1],c=t[0].dims;if(s!==c.length)throw new Error(`output dimension should match input ${c.length}, but got ${s}`);let d=c[s-2],p=c[s-1],b=o[s-2],g=o[s-1],m="";if(n.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case"asymmetric":m=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return vec4(coords) / scaleWHWH;
                    }
                `;break;case"half_pixel":m=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
                    }
                `;break;case"pytorch_half_pixel":m=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 fcoords = vec4(coords);
                        return vec4(
                            ${l}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
                            ${u}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
                            ${l}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
                            ${u}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
                          );
                    }
                `;break;case"align_corners":m=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 resized = vec4(${l}.0 - 1.0, ${u}.0 - 1.0, ${l}.0 - 1.0,
                            ${u}.0 - 1.0);
                        vec4 original = vec4(${p}.0 - 1.0, ${d}.0 - 1.0, ${p}.0 - 1.0,
                            ${d}.0 - 1.0);
                        vec4 new_scale = original / resized;
                        return vec4(coords) * new_scale;
                    }
                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}let w=at(s),x=ce(),A=`
            const vec2 inputWH = vec2(${d}.0, ${p}.0);
            const vec4 scaleWHWH = vec4(float(${b}), float(${g}), float(${b}), float(${g}));
            ${x}
            ${m}
            float getAValue(int x10, int r, int c, int d) {
                return getChannel(getA(x10, r, c, d), vec2(c, d));
            }
            void main() {
                ${w} 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 < ${u-1};
                bool hasNextCol = rc.z < ${l-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);

                ${e.output} = vec4(newValue);
            }
        `;return{...qi,output:{dims:i,type:t[0].type,textureType:2},hasMain:!0,shaderSource:A}},ky=(r,t)=>{let e=r[0].dims,o=t.scales,i;if(o.length===0){let s=r[t.scalesInputIdx];if(s&&s.size!==0){if(r[t.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");o=My(s,t.mode,t.isResize)}else{let u=r[t.sizesInputIdx];if(!u||u.size===0)throw new Error("Either scales or sizes MUST be provided as input.");i=Array.from(u.integerData),o=Vy(i,e,t.mode,t.isResize)}}else if(r[t.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");let a=i||e.map((s,u)=>Math.floor(s*o[u]));return[o,a]},My=(r,t,n)=>{let e=Array.from(r.floatData);return pr(e,t,n),e},Vy=(r,t,n,e)=>{let o=t.length,i=new Array(o);for(let a=0,s=o;a<s;a++)if(t[a]===0){if(r[a]!==0)throw new Error("Input dim is zero but required output dim is non-zero.");i[a]=1}else i[a]=r[a]/t[a];return pr(i,n,e),i}});var uf,By,lf=y(()=>{"use strict";Ce();uf=(r,t)=>(By(t),[new Y([t[0].dims.length],"int32",void 0,void 0,new Int32Array(t[0].dims))]),By=r=>{if(!r||r.length!==1)throw new Error("Shape requires 1 input.")}});var Xi,cf,ff,df,zy,pf,Uy,Wy,hf=y(()=>{"use strict";et();xn();V();C();Xi={name:"Slice",inputNames:["A"],inputTypes:[0]},cf=(r,t,n)=>(zy(t),[r.run({...Xi,cacheHint:n.cacheKey,get:()=>df(r,t[0],n)},t)]),ff=r=>{let t=r.attributes.getInts("starts"),n=r.attributes.getInts("ends"),e=r.attributes.getInts("axes",[]);return L({starts:t,ends:n,axes:e})},df=(r,t,n)=>{let e=n.axes.length===0?t.dims.slice(0).map((d,p)=>p):n.axes,o=I.normalizeAxes(e,t.dims.length),i=n.starts.map((d,p)=>d>t.dims[o[p]]-1?t.dims[o[p]]:I.normalizeAxis(d,t.dims[o[p]])),a=n.ends.map((d,p)=>d>t.dims[o[p]]-1?t.dims[o[p]]:I.normalizeAxis(d,t.dims[o[p]])),s=t.dims.slice(),u=[];for(let d=0;d<o.length;d++)s[o[d]]=a[d]-i[d],i[d]>0&&u.push(`outputIdx[${o[d]}] += ${i[d]};`);let c=`
      float process(int outputIdx[${s.length}]) {
        ${u.join(`
      `)}
        return _A(outputIdx);
      }`;return{...Xi,output:{dims:s,type:t.type,textureType:0},shaderSource:c}},zy=r=>{if(!r||r.length!==1)throw new Error("Slice requires 1 input.");if(ve.indexOf(r[0].type)===-1)throw new Error("Invalid input type.")},pf=(r,t)=>{Wy(t);let n=Uy(r,t);return[r.run({...Xi,cacheHint:n.cacheKey,get:()=>df(r,t[0],n)},[t[0]])]},Uy=(r,t)=>{if(!r.session.isInitializer(t[1].dataId)||!r.session.isInitializer(t[2].dataId)||t.length>=4&&!r.session.isInitializer(t[3].dataId)||t.length>=5&&!r.session.isInitializer(t[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(t.length>=5&&t[4].integerData.some(a=>a!==1))throw new Error("currently non-1 steps is not supported for Slice");let n=Array.from(t[1].integerData),e=Array.from(t[2].integerData),o=t.length>=4?Array.from(t[3].integerData):[],i=`${o};${n};${e}`;return{starts:n,ends:e,axes:o,cacheKey:i}},Wy=r=>{if(!r||r.length<3||r.length>5)throw new Error("Invalid input number.");if(r[1].type!=="int32"||r[1].dims.length!==1)throw new Error("Invalid input type.");if(r[2].type!=="int32"||r[2].dims.length!==1)throw new Error("Invalid input type.");if(r.length>=4&&(r[3].type!=="int32"||r[3].dims.length!==1))throw new Error("Invalid input type.");if(r.length>=5&&(r[4].type!=="int32"||r[4].dims.length!==1))throw new Error("Invalid input type.")}});var bf,mf,gf,yf,Tf,_f,xf,vf,jy,Hy,qy,wf,If=y(()=>{"use strict";et();V();H();C();cr();bf={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[0]},mf={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[0,0]},gf={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[0,0,0]},yf=(r,t,n)=>{wf(t);let e=t[0].dims.slice(),o=I.normalizeAxis(n.axis,e.length),i=I.sizeToDimension(e,o),a=I.sizeFromDimension(e,o);return vf(r,t,n,i,a)},Tf=r=>L({axis:r.attributes.getInt("axis",1)}),_f=r=>L({axis:r.attributes.getInt("axis",-1)}),xf=(r,t,n)=>{wf(t);let e=t[0].dims.slice(),o=I.normalizeAxis(n.axis,e.length),i=e.length,a=o!==i-1,s=[],u=[],l=[],c;a&&(u=Array.from({length:i}).map((g,m)=>m),u[o]=i-1,u[i-1]=o,u.map(g=>s.push(e[g])),c=L({perm:u}),l=ke(r,t,c));let d=a?I.sizeToDimension(s,i-1):I.sizeToDimension(e,i-1),p=a?I.sizeFromDimension(s,i-1):I.sizeFromDimension(e,i-1),b=vf(r,a?l:t,n,d,p);return a?ke(r,b,c):b},vf=(r,t,n,e,o)=>{let i=jy(r,t[0],e,o,[e]),a=r.run({...bf,cacheHint:n.cacheKey,get:()=>i},t),s=Hy(r,t[0],e,o,i.output.dims,[e]),u=r.run({...mf,cacheHint:n.cacheKey,get:()=>s},[t[0],a]),l=qy(r,t[0],e,o,i.output.dims,s.output.dims);return[r.run({...gf,cacheHint:n.cacheKey,get:()=>l},[t[0],a,u])]},jy=(r,t,n,e,o)=>{let[i,a]=r.calculateTextureWidthAndHeight(t.dims,0),s=o.length;if(n<1||e<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(o.length!==1)throw new Error("Dimensionality of the output should be 1");if(o[0]!==n)throw new Error("Shape of the output should be equal to logical row count");let u=S(r.session.backend.glContext.version),l=`
      float process(int[${s}] indices) {
        int logical_row_start_offset = indices[0] * ${e};

        float max = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset, ${i},
        ${a} )));
        for(int i=1; i<${e}; ++i)
        {
          float current = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${i}, ${a})));
          if(current > max)
          max = current;
        }

        return max;
      }`;return{...bf,output:{dims:o,type:t.type,textureType:0},shaderSource:l}},Hy=(r,t,n,e,o,i)=>{let[a,s]=r.calculateTextureWidthAndHeight(t.dims,0),u=i.length;if(n<1||e<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(i.length!==1)throw new Error("Dimensionality of the output should be 1");if(i[0]!==n)throw new Error("Shape of the output should be equal to logical row count");if(o.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(o[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=S(r.session.backend.glContext.version),c=`
      float process(int[${u}] indices) {
        int logical_row_start_offset = indices[0] * ${e};

        float norm_factor = 0.0;
        float max = _Max(indices);
        for(int i=0; i<${e}; ++i)
        {
          norm_factor += exp(getColorAsFloat(${l.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${a}, ${s}))) - max);
        }

        return norm_factor;
      }`;return{...mf,output:{dims:i,type:t.type,textureType:0},shaderSource:c}},qy=(r,t,n,e,o,i)=>{let[a,s]=r.calculateTextureWidthAndHeight(t.dims,0),u=t.dims.length;if(n<1||e<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(o.length!==1||i.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(o[0]!==n||i[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=`
      float process(int[${u}] indices) {

      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
      int offset = coordsToOffset(TexCoords, ${a}, ${s});

      //determine the logical row for this index
      int logical_row_index[1];
      logical_row_index[0] = offset / ${e};

      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{...gf,output:{dims:t.dims,type:t.type,textureType:0},shaderSource:l}},wf=r=>{if(!r||r.length!==1)throw new Error("Softmax requires 1 input.");if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("Invalid input type")}});var Of,Pf,Sf,Ky,Xy,Zy,Af=y(()=>{"use strict";et();V();C();Of={name:"Split",inputNames:["A"],inputTypes:[0]},Pf=(r,t,n)=>{Zy(t);let e=I.normalizeAxis(n.axis,t[0].dims.length),o=Ky(r,t,e,n),i=[];for(let a=0;a<o;++a)i.push(r.run({...Of,cacheHint:`${n.cacheKey};${a}`,get:()=>Xy(r,t[0],n,e,a)},t));return i},Sf=r=>{let t=r.attributes.getInt("axis",0),n=r.attributes.getInts("split",[]),e=r.outputs.length;return L({axis:t,split:n,numOutputs:e})},Ky=(r,t,n,e)=>{let[,o]=bn.splitShape(t[0].dims,n,e.split,e.numOutputs);return o.length},Xy=(r,t,n,e,o)=>{let[i,a]=bn.splitShape(t.dims,e,n.split,n.numOutputs),s=a[o],u=i[o],c=`
      float process(int indices[${u.length}]) {
        indices[${e}] += ${s};
        return _A(indices);
      }
    `;return{...Of,cacheHint:`${n.cacheKey}:${o}`,output:{dims:u,type:t.type,textureType:0},shaderSource:c}},Zy=r=>{if(!r||r.length!==1)throw new Error("Split requires one input.");if(r[0].type!=="int8"&&r[0].type!=="uint8"&&r[0].type!=="int16"&&r[0].type!=="uint16"&&r[0].type!=="int32"&&r[0].type!=="uint32"&&r[0].type!=="float32"&&r[0].type!=="float64"&&r[0].type!=="bool")throw new Error("Invalid input type.")}});var Zi,Ef,Df,Jy,Yy,Lf=y(()=>{"use strict";V();Zi=(r,t,n)=>{Jy(t);let e=I.squeezeShape(t[0].dims,n);return[r.reshapeUnpacked(t[0],e)]},Ef=(r,t)=>(Yy(t),Zi(r,[t[0]],Array.from(t[1].integerData))),Df=r=>r.attributes.getInts("axes"),Jy=r=>{if(!r||r.length!==1)throw new Error("Squeeze requires 1 input.");if(r[0].type==="string")throw new Error("invalid input tensor types.")},Yy=r=>{if(!r||r.length!==2)throw new Error("Squeeze requires 2 inputs.");if(r[1].type!=="int32")throw new Error("Invalid input type.")}});var $f,Qy,tT,Nf=y(()=>{"use strict";H();C();$f=(r,t)=>{tT(t);let n={name:"Sum",inputNames:t.map((o,i)=>`X${i}`),inputTypes:new Array(t.length).fill(0)};return[r.run({...n,get:()=>Qy(r,t,n)},t)]},Qy=(r,t,n)=>{let e=S(r.session.backend.glContext.version),o=t[0].dims.slice(),a=`
      void main() {
        vec4 result = ${t.map((s,u)=>`${e.texture2D}(X${u},TexCoords)`).join(" + ")};
        ${e.output} = result;
      }
    `;return{...n,output:{dims:o,type:t[0].type,textureType:0},hasMain:!0,shaderSource:a}},tT=r=>{if(!r||r.length===0)throw new Error("Sum requires inputs.");let t=r[0].dims.length;for(let n=1;n<r.length;n++){if(t!==r[n].dims.length)throw new Error("Input shapes are mismatched.");for(let e=0;e<t;e++)if(r[0].dims[e]!==r[n].dims[e])throw new Error("Input shapes are not matched.")}if(r[0].type!=="float32"&&r[0].type!=="float64")throw new Error("Invalid input type.");for(let n=1;n<r.length;n++)if(r[0].type!==r[n].type)throw new Error("Input types are not matched.")}});var Ff,eT,nT,Cf=y(()=>{"use strict";xn();C();Ff=(r,t)=>{nT(t);let n={name:"Tile",inputNames:["A"],inputTypes:[0]};return[r.run({...n,get:()=>eT(r,t,n)},t)]},eT=(r,t,n)=>{let e=t[0].dims.slice(),o=new Array(e.length),i=[];for(let u=0;u<e.length;u++)o[u]=e[u]*t[1].numberData[u],i.push(`inputIdx[${u}] = int(mod(float(outputIdx[${u}]), ${e[u]}.));`);let a=o.length,s=`
      float process(int outputIdx[${a}]) {
        int inputIdx[${a}];
        ${i.join(`
`)}
        return _A(inputIdx);
      }
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        int t = offset / width;
        int s = offset - t*width;
        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);
        return coords;
      }
      `)}}coordsToOffset(){let t="coordsToOffset";return{coordsToOffset:new v(`
      int ${t}(vec2 coords, int width, int height) {
        float s = coords.s * float(width);
        float t = coords.t * float(height);
        int offset = int(t) * width + int(s);
        return offset;
      }
      `)}}getOutputSamplingSnippet(){let t=this.context.outputTextureLayout;return t.isPacked?this.getPackedOutputSamplingSnippet(t):this.getUnpackedOutputSamplingSnippet(t)}getPackedOutputSamplingSnippet(t){let n=t.unpackedShape,e=[t.width,t.height],o={},i="getOutputCoords";switch(n.length){case 0:o[i]=this.getOutputScalarCoords();break;case 1:o[i]=this.getOutputPacked1DCoords(n,e);break;case 2:o[i]=this.getOutputPacked2DCoords(n,e);break;case 3:o[i]=this.getOutputPacked3DCoords(n,e);break;default:o[i]=this.getOutputPackedNDCoords(n,e)}let s=`
      void setOutput(vec4 val) {
        ${S(this.context.glContext.version).output} = val;
      }
    `,u="floatTextureSetRGBA";return o[u]=new v(s),o}getUnpackedOutputSamplingSnippet(t){let n=t.unpackedShape,e=[t.width,t.height],o={},i="getOutputCoords";switch(n.length){case 0:o[i]=this.getOutputScalarCoords();break;case 1:o[i]=this.getOutputUnpacked1DCoords(n,e);break;case 2:o[i]=this.getOutputUnpacked2DCoords(n,e);break;case 3:o[i]=this.getOutputUnpacked3DCoords(n,e);break;case 4:o[i]=this.getOutputUnpacked4DCoords(n,e);break;case 5:o[i]=this.getOutputUnpacked5DCoords(n,e);break;case 6:o[i]=this.getOutputUnpacked6DCoords(n,e);break;default:throw new Error(`Unsupported output dimensionality: ${n.length}`)}let s=`
        void setOutput(float val) {
          ${S(this.context.glContext.version).output} = vec4(val, 0, 0, 0);
        }
    `,u="floatTextureSetR";return o[u]=new v(s),o}getOutputScalarCoords(){return new v(`
      int getOutputCoords() {
        return 0;
      }
    `)}getOutputPacked1DCoords(t,n){let e=n,o="";return e[0]===1?(o=`
          int getOutputCoords() {
            return 2 * int(TexCoords.y * ${e[1]}.0);
          }
        `,new v(o)):e[1]===1?(o=`
          int getOutputCoords() {
            return 2 * int(TexCoords.x * ${e[0]}.0);
          }
        `,new v(o)):(o=`
        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
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          return 2 * (resTexRC.y * ${e[0]} + resTexRC.x);
        }
      `,new v(o))}getOutputPacked2DCoords(t,n){let e="";if(Le.arraysEqual(t,n))return e=`
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          return 2 * ivec2(TexCoords.xy * vec2(${n[0]}, ${n[1]}));
        }
      `,new v(e);let o=n,i=Math.ceil(t[1]/2);return e=`
        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${o[0]}, ${o[1]}));

          int index = resTexRC.y * ${o[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 v(e)}getOutputPacked3DCoords(t,n){let e=[n[0],n[1]],o=Math.ceil(t[2]/2),i=o*Math.ceil(t[1]/2),a=`
        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, ${o}) * 2;
          int c = 2 * (index / ${o});

          return ivec3(b, r, c);
        }
      `;return new v(a)}getOutputPackedNDCoords(t,n){let e=[n[0],n[1]],o=Math.ceil(t[t.length-1]/2),i=o*Math.ceil(t[t.length-2]/2),a=i,s="",u="b, r, c";for(let c=2;c<t.length-1;c++)a*=t[t.length-c-1],s=`
      int b${c} = index / ${a};
      index -= b${c} * ${a};
    `+s,u=`b${c}, `+u;let l=`
      ivec${t.length} getOutputCoords() {
        ivec2 resTexRC = ivec2(TexCoords.xy *
                              vec2(${e[0]}, ${e[1]}));
        int index = resTexRC.y * ${e[0]} + resTexRC.x;

        ${s}

        int b = index / ${i};
        index -= b * ${i};

        // reverse r and c order for packed texture
        int r = imod(index, ${o}) * 2;
        int c = 2 * (index / ${o});

        return ivec${t.length}(${u});
      }
    `;return new v(l)}getOutputUnpacked1DCoords(t,n){let e=`
        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
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          return resTexRC.y * ${n[0]} + resTexRC.x;
        }
      `;return new v(e)}getOutputUnpacked2DCoords(t,n){let e=`
        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${n[0]}, ${n[1]}));
          int index = resTexRC.y * ${n[0]} + resTexRC.x;
          int r = index / ${t[1]};
          int c = index - r * ${t[1]};
          return ivec2(r, c);
        }
      `;return new v(e)}getOutputUnpacked3DCoords(t,n){let e="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let u=o-3;u>=0;--u)i[u]=i[u+1]*t[u+1];let a=["r","c","d"],s=i.map((u,l)=>{let c=`int ${a[l]} = index / ${u}`,d=l===i.length-1?`int ${a[l+1]} = index - ${a[l]} * ${u}`:`index -= ${a[l]} * ${u}`;return`${c}; ${d};`}).join("");return e=`
        ivec3 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${n[0]}, ${n[1]}));
          int index = resTexRC.y * ${n[0]} + resTexRC.x;
          ${s}
          return ivec3(r, c, d);
        }
      `,new v(e)}getOutputUnpacked4DCoords(t,n){let e="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let u=o-3;u>=0;--u)i[u]=i[u+1]*t[u+1];let a=["r","c","d","d2"],s=i.map((u,l)=>{let c=`int ${a[l]} = index / ${u}`,d=l===i.length-1?`int ${a[l+1]} = index - ${a[l]} * ${u}`:`index -= ${a[l]} * ${u}`;return`${c}; ${d};`}).join("");return e=`
      ivec4 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${n[0]}, ${n[1]}));
          int index = resTexRC.y * ${n[0]} + resTexRC.x;
          ${s}
          return ivec4(r, c, d, d2);
        }
      `,new v(e)}getOutputUnpacked5DCoords(t,n){let e="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let u=o-3;u>=0;--u)i[u]=i[u+1]*t[u+1];let a=["r","c","d","d2","d3"],s=i.map((u,l)=>{let c=`int ${a[l]} = index / ${u}`,d=l===i.length-1?`int ${a[l+1]} = index - ${a[l]} * ${u}`:`index -= ${a[l]} * ${u}`;return`${c}; ${d};`}).join("");return e=`
      ivec5 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${n[0]}, ${n[1]}));
          int index = resTexRC.y * ${n[0]} + resTexRC.x;
          ${s}
          return ivec5(r, c, d, d2, d3);
        }
      `,new v(e)}getOutputUnpacked6DCoords(t,n){let e="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let u=o-3;u>=0;--u)i[u]=i[u+1]*t[u+1];let a=["r","c","d","d2","d3","d4"],s=i.map((u,l)=>{let c=`int ${a[l]} = index / ${u}`,d=l===i.length-1?`int ${a[l+1]} = index - ${a[l]} * ${u}`:`index -= ${a[l]} * ${u}`;return`${c}; ${d};`}).join("");return e=`
     ivec6 getOutputCoords() {
         ivec2 resTexRC = ivec2(TexCoords.xy *
                               vec2(${n[0]}, ${n[1]}));
         int index = resTexRC.y * ${n[0]} + resTexRC.x;
         ${s}
         return ivec6(r, c, d, d2, d3, d4);
       }
     `,new v(e)}getCommonUtilFuncs(){let t={},n="uvFromFlat";t[n]=new v(`
    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);
    }
    `),n="packedUVfrom1D",t[n]=new v(`
      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);
      }
      `),n="packedUVfrom2D",t[n]=new v(`
      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);
      }
      `),n="packedUVfrom3D",t[n]=new v(`
      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);
      }
      `),n="sampleTexture";let e=S(this.context.glContext.version);return t[n]=new v(`
        float sampleTexture(sampler2D textureSampler, vec2 uv) {
            return ${e.texture2D}(textureSampler, uv).r;
        }`),t}getInputsSamplingSnippets(){let t={},n=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((e,o)=>{let i=this.context.inputTextureLayouts[o],a=tr(e);i.isPacked?t[a]=this.getPackedSamplerFromInput(a,e,i):t[a]=this.getUnpackedSamplerFromInput(a,e,i);let s=Lu(e);i.unpackedShape.length<=n.unpackedShape.length&&(i.isPacked?t[s]=this.getPackedSamplerAtOutputCoords(s,i,n,e):t[s]=this.getUnpackedSamplerAtOutputCoords(s,i,n,e))}),t}getPackedSamplerAtOutputCoords(t,n,e,o){let i=n.unpackedShape,a=e.unpackedShape,u=tr(o),l=i.length,c=a.length,d=it.getBroadcastDims(i,a),p=at(c),b=c-l,g,m=St();l===0?g="":c<2&&d.length>=1?g="coords = 0;":g=d.map(Ie=>`coords.${m[Ie+b]} = 0;`).join(`
`);let w="";c<2&&l>0?w="coords":w=i.map((Ie,Ve)=>`coords.${m[Ve+b]}`).join(", ");let x="return outputValue;",D=I.size(i)===1,F=I.size(a)===1;if(l===1&&!D&&!F)x=`
        return vec4(outputValue.xy, outputValue.xy);
      `;else if(D&&!F)c===1?x=`
          return vec4(outputValue.x, outputValue.x, 0., 0.);
        `:x=`
          return vec4(outputValue.x);
        `;else if(d.length){let Ie=l-2,Ve=l-1;d.indexOf(Ie)>-1&&d.indexOf(Ve)>-1?x="return vec4(outputValue.x);":d.indexOf(Ie)>-1?x="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":d.indexOf(Ve)>-1&&(x="return vec4(outputValue.xx, outputValue.zz);")}let xt=`
        int lastDim = coords.${m[c-1]};
        coords.${m[c-1]} = coords.${m[c-2]};
        coords.${m[c-2]} = lastDim;
      `,At=`
      vec4 ${t}() {
        ${p} coords = getOutputCoords();
        ${xt}
        ${g}
        vec4 outputValue = ${u}(${w});
        ${x}
      }
    `;return new v(At,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(t,n,e,o){let i=[e.width,e.height],a=[n.width,n.height],s=n.unpackedShape.length,u=e.unpackedShape.length,l=n.unpackedShape,c=e.unpackedShape,d=tr(o);if(s===u&&Le.arraysEqual(a,i)){let D=`
          float ${t}() {
            return sampleTexture(${o}, TexCoords);
          }
        `;return new v(D,["coordinates.sampleTexture"])}let p=at(u),b=it.getBroadcastDims(l,c),g=u-s,m,w=St();s===0?m="":u<2&&b.length>=1?m="coords = 0;":m=b.map(D=>`coords.${w[D+g]} = 0;`).join(`
`);let x="";u<2&&s>0?x="coords":x=n.unpackedShape.map((D,q)=>`coords.${w[q+g]}`).join(", ");let A=`
        float ${t}() {
          ${p} coords = getOutputCoords();
          ${m}
          return ${d}(${x});
        }
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        return ${t}(${qe(x,m)});
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      int texC = index - texR * ${c};
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          float ${t}() {
            return sampleTexture(${n}, halfCR);
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        float ${t}() {
          int offset_${n} = coordsToOffset(TexCoords, ${o}, ${i});
          vec2 uv = uvFromFlat(${o}, ${i}, offset_${n});
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          float ${t}(int index) {
            vec2 uv = vec2((float(index) + 0.5) / ${o}.0, 0.5);
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          float ${t}(int index) {
            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${i}.0);
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            int offset_${n} = coordsToOffset(TexCoords, ${l}, ${c});
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          float ${t}(int row, int col) {
            int offset_${n} = coordsToOffset(TexCoords, ${l}, ${c});
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        float ${t}(int row, int col) {
          int index = col * ${o[1]} + row;
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          int index = row * ${s} + col * ${a} +
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        }
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        float ${t}(int row, int col, int depth, int depth2, int depth3) {
          int index = row * ${u} + col * ${s} + depth * ${a} +
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          return sampleTexture(${n}, uv);
        }
      `;return new v(b,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(t,n,e){let o=e.unpackedShape,i=o[5],a=o[4]*i,s=o[3]*a,u=o[2]*s,l=o[1]*u,{newShape:c,keptDims:d}=Je(o);if(c.length<o.length){let m=He(o,c),w=["row","col","depth","depth2","depth3","depth4"],x=JSON.parse(JSON.stringify(e));x.unpackedShape=m;let A=`
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            float ${t}(int row, int col, int depth,
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            }
          `;return new v(A,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let p=e.width,b=e.height,g=`
          float ${t}(int row, int col, int depth,
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            int index = row * ${l} + col * ${u} + depth * ${s} +
            depth2 * ${a} + depth3 * ${i} + depth4;
            vec2 uv = uvFromFlat(${p}, ${b}, index);
            return sampleTexture(${n}, uv);
          }
        `;return new v(g,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}toVec(){let t=this.context.outputTextureLayout,n=t.shape.length,e=t.strides,o=t.width,i=t.height,a=[];for(let u=0;u<n-1;++u)a.push(`
        c[${u}] = offset / ${e[u]};`),a.push(`
        offset -= c[${u}] * ${e[u]};`);a.push(`
        c[${n-1}] = offset;`);let s=`
      void toVec(vec2 texCoords, out int c[${n}]) {
        int offset = coordsToOffset(texCoords, ${o}, ${i});
        ${a.join("")}
      }
      void toVec(int offset, out int c[${n}]) {
        ${a.join("")}
      }
    `;return{toVec:new v(s,["coordinates.coordsToOffset"])}}valueFrom(){let t={};return this.context.programInfo.inputNames.forEach((n,e)=>{let o=this.context.inputTextureLayouts[e],a=(o.unpackedShape.length>0?o.unpackedShape:o.shape).length,s=`_${n}`;t[s]=new v(this.getValueFromSingle(n,a,o.width,o.height,!1),[`shapeUtils.indicesToOffset${s}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),s=s+"_T",t[s]=new v(this.getValueFromSingle(n,a,o.width,o.height,!0),[`shapeUtils.indicesToOffset${s}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])}),t}getValueFromSingle(t,n,e,o,i){let a=`_${t}`;i&&(a=a+"_T");let s=S(this.context.glContext.version);return`
        float ${a}(int m[${n}]) {
          int offset = indicesToOffset${a}(m);
          vec2 coords = offsetToCoords(offset, ${e}, ${o});
          float value = getColorAsFloat(${s.texture2D}(${t}, coords));
          return value;
        }
        `}getPackedValueFrom(t,n,e,o,i){let a=`_${t}_Pack`;i&&(a=a+"_T");let s=S(this.context.glContext.version);return`
        vec4 ${a}(int m[${n}]) {
          int offset = indicesToOffset_${t}(m);
          vec2 coords = offsetToCoords(offset, ${e}, ${o});
          return ${s.texture2D}(${t}, coords);
        }
        `}}});var mr,Hf=y(()=>{"use strict";he();mr=class r extends yt{constructor(t){super(t)}getFunctions(){return{...this.encodeFloat32(),...this.decodeFloat32()}}getCustomTypes(){return{}}encodeFloat32(){return{encode:new v(`highp vec4 encode(highp float f) {
        return vec4(f, 0.0, 0.0, 0.0);
      }
        `)}}decodeFloat32(){return{decode:new v(`highp float decode(highp vec4 rgba) {
        return rgba.r;
      }
        `)}}encodeUint8(){let t=r.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new v(`
      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)));
        ${t}
        rgba = rgba / 255.0; // values need to be normalized to [0,1]
        return rgba;
    }
        `)}}decodeUint8(){let t=r.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new v(`
        highp float decode(highp vec4 rgba) {
          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]
          ${t}
          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(){let t=new ArrayBuffer(4),n=new Uint32Array(t),e=new Uint8Array(t);if(n[0]=3735928559,e[0]===239)return!0;if(e[0]===222)return!1;throw new Error("unknown endianness")}}});var gr,qf=y(()=>{"use strict";he();H();gr=class extends yt{constructor(t){super(t)}getFunctions(){return{...this.setFragColor(),...this.getColorAsFloat()}}getCustomTypes(){return{}}setFragColor(){let t=S(this.context.glContext.version);return{setFragColor:new v(`
        void setFragColor(float value) {
            ${t.output} = encode(value);
        }
        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new v(`
        float getColorAsFloat(vec4 color) {
            return decode(color);
        }
        `,["encoding.decode"])}}}});var yr,Kf=y(()=>{"use strict";he();yr=class r extends yt{constructor(t){super(t)}getFunctions(){return{...this.bcastIndex(),...this.bcastMatmulIndex(),...this.offsetToIndices(),...this.indicesToOffset(),...this.incrementIndices()}}getCustomTypes(){return{}}bcastIndex(){let t=this.context.outputTextureLayout.shape.length,n={};return this.context.programInfo.inputNames.forEach((e,o)=>{let i=this.context.inputTextureLayouts[o].unpackedShape;if(i.length<=t){let a=i.length,s=t-a,u=`bcastIndices_${e}`,l="";for(let d=0;d<a;++d)l+=`
          realIndices[${d}] = int( mod(float(bcastedIndices[${s+d}]), ${i[d]}.0) );
          `;let c=`
        void ${u} (int bcastedIndices[${t}], out int realIndices[${a}]) {
          ${l}
        }
        `;n[u]=new v(c)}}),n}bcastMatmulIndex(){let t=this.context.outputTextureLayout.shape.length,n={};return this.context.programInfo.inputNames.forEach((e,o)=>{let i=this.context.inputTextureLayouts[o].shape;if(!(i.length<2||i.length>t)){let a=i.length,s=t-a,u=`bcastMatmulIndices_${e}`,l="";for(let d=0;d<a-2;++d)l+=`
          realIndices[${d}] = int( mod(float(bcastedIndices[${s+d}]), ${i[d]}.0) );
          `;let c=`
        void ${u}(int bcastedIndices[${t}], out int realIndices[${a}]) {
          ${l}
          realIndices[${a-1}] = bcastedIndices[${t-1}];
          realIndices[${a-2}] = bcastedIndices[${t-2}];
        }
        `;n[u]=new v(c)}}),n}indicesToOffset(){let t={};return this.context.programInfo.inputNames.forEach((n,e)=>{let o=this.context.inputTextureLayouts[e].shape,i=this.context.inputTextureLayouts[e].strides,a=o.length,s=`indicesToOffset_${n}`;t[s]=new v(r.indexToOffsetSingle(s,a,i)),s=`indicesToOffset_${n}_T`,t[s]=new v(r.indexToOffsetSingle(s,a,i.slice().reverse()))}),t}static indexToOffsetSingle(t,n,e){let o="";for(let i=n-1;i>=0;--i)o+=`
        offset += indices[${i}] * ${e[i]};
        `;return`
      int ${t}(int indices[${n}]) {
        int offset = 0;
        ${o}
        return offset;
      }
      `}offsetToIndices(){let t={};return this.context.programInfo.inputNames.forEach((n,e)=>{let o=this.context.inputTextureLayouts[e].shape,i=this.context.inputTextureLayouts[e].strides,a=o.length,s=`offsetToIndices_${n}`;t[s]=new v(r.offsetToIndicesSingle(s,a,i)),s=`offsetToIndices_${n}_T`,t[s]=new v(r.offsetToIndicesSingle(s,a,i.slice().reverse()))}),t}static offsetToIndicesSingle(t,n,e){let o=[];for(let i=0;i<n-1;++i)o.push(`
      indices[${i}] = offset / ${e[i]};`),o.push(`
        offset -= indices[${i}] * ${e[i]};`);return o.push(`
      indices[${n-1}] = offset;`),`
      void ${t}(int offset, out int indices[${n}]) {
        ${o.join("")}
      }
      `}incrementIndices(){let t={};return this.context.programInfo.inputNames.forEach((n,e)=>{let o=this.context.inputTextureLayouts[e].shape,i=o.length,a=`incrementIndices_${n}`,s="";for(let l=0;l<i;++l)s+=`
        shape[${l}] = ${o[l]};`;let u=`
        void ${a}(int axis, out int indices[${i}]) {
          int shape[${i}];
          ${s};
          for(int i = ${i} -1 ; i >= 0; --i) {
            if(i > axis) continue;
            indices[i] += 1;
            if(indices[i] < shape[i]) {
              break;
            }
            indices[i] = 0;
          }
        }
        `;t[a]=new v(u)}),t}}});var Tr,Xf=y(()=>{"use strict";he();Tr=class extends yt{constructor(t){super(t)}getCustomTypes(){return{}}getFunctions(){return{...this.binaryVecFunctions(),...this.copyVec(),...this.setVecItem(),...this.getVecItem()}}binaryVecFunctions(){let n=this.context.outputTextureLayout.shape.length,e={add:"+=",sub:"-=",mul:"*=",div:"/="},o={};for(let i in e){let a=`${i}Vec`,s="";for(let l=0;l<n;++l)s+=`
          dest[${l}] ${e[i]} src[${l}];
          `;let u=`
        void ${a}(int src[${n}], out int dest[${n}]) {
          ${s}
        }
        `;o[a]=new v(u)}return o}copyVec(){let n=this.context.outputTextureLayout.shape.length,e="";for(let i=0;i<n;++i)e+=`
        dest[${i}] = src[${i}];
        `;let o=`
      void copyVec(int src[${n}], out int dest[${n}]) {
        ${e}
      }
      `;return{copyVec:new v(o)}}setVecItem(){let n=this.context.outputTextureLayout.shape.length,e=`
        if(index < 0)
            index =${n} + index;
        if (index == 0)
            m[0] = value;
        `;for(let i=1;i<n-1;++i)e+=`
        else if (index == ${i})
            m[${i}] = value;
            `;e+=`
        else
            m[${n-1}] = value;
        `;let o=`
      void setVecItem(out int m[${n}], int index, int value) {
        ${e}
      }
        `;return{setVecItem:new v(o)}}getVecItem(){let n=this.context.outputTextureLayout.shape.length,e=`
        if(index < 0)
            index = ${n} + index;
        if (index == 0)
            return m[0];
      `;for(let i=1;i<n-1;++i)e+=`
        else if (index == ${i})
            return m[${i}];
      `;e+=`
        else
            return m[${n-1}];
        `;let o=`
      int getVecItem(int m[${n}], int index) {
        ${e}
      }
    `;return{getVecItem:new v(o)}}}});var Qi,Zf=y(()=>{"use strict";jf();Hf();qf();Kf();Xf();Qi={encoding:mr,fragcolor:gr,vec:Tr,shapeUtils:yr,coordinates:br}});var _r,Jf=y(()=>{"use strict";he();Uf();Zf();H();_r=class{constructor(t,n,e,o){this.libs={};this.glslLibRoutineDependencyGraph={};this.context=new or(t,n,e,o),Object.keys(Qi).forEach(a=>{let s=new Qi[a](this.context);this.libs[a]=s});let i=this.glslLibRoutineDependencyGraph;for(let a in this.libs){let u=this.libs[a].getFunctions();for(let l in u){let c=a+"."+l,d;i[c]?(d=i[c],d.routineBody=u[l].routineBody):(d=new _n(c,u[l].routineBody),i[c]=d);let p=u[l].dependencies;if(p)for(let b=0;b<p.length;++b)if(i[p[b]])d.addDependency(i[p[b]]);else{let g=new _n(p[b]);i[p[b]]=g,d.addDependency(g)}}}}preprocess(){let t=this.context.programInfo,n=t.shaderSource;return this.context.programInfo.hasMain||(n=`${n}
      ${Du(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),n=zf(n),`${Eu(this.context.glContext.version)}
    ${this.getUniforms(t.inputNames,t.variables)}
    ${this.getImports(n)}
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o=this.gl;o.bindTexture(o.TEXTURE_2D,t),o.bindFramebuffer(o.FRAMEBUFFER,this.framebuffer),o.framebufferTexture2D(o.FRAMEBUFFER,o.COLOR_ATTACHMENT0,o.TEXTURE_2D,t,0),this.checkError(),o.viewport(0,0,n,e),o.scissor(0,0,n,e)}readTexture(t,n,e,o,i,a){let s=this.gl;a||(a=1),this.frameBufferBound||this.attachFramebuffer(t,n,e);let u=this.getEncoder(i,a),l=u.allocate(n*e);return s.bindTexture(s.TEXTURE_2D,t),s.framebufferTexture2D(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0,s.TEXTURE_2D,t,0),s.readPixels(0,0,n,e,s.RGBA,u.textureType,l),this.checkError(),u.decode(l,o)}isFramebufferReady(){return!0}getActiveTexture(){let t=this.gl;return`TEXTURE${t.getParameter(this.gl.ACTIVE_TEXTURE)-t.TEXTURE0}`}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(t,n){let 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i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(n),t.deleteFramebuffer(o),i}checkRenderFloat32(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension||!this.gl.getExtension("WEBGL_color_buffer_float"))return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){let t=this.gl,n,e,o,i,a;try{n=t.createTexture(),e=t.createFramebuffer(),t.bindTexture(t.TEXTURE_2D,n);let s=this.version===2?t.RGBA32F:t.RGBA;return 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Error("WebGL1 profiling currently not supported.")}endTimer(){if(this.version===2&&this.disjointTimerQueryWebgl2Extension){let t=this.gl,n=this.disjointTimerQueryWebgl2Extension;t.endQuery(n.TIME_ELAPSED_EXT);return}else throw new Error("WebGL1 profiling currently not supported")}isTimerResultAvailable(t){let n=!1,e=!1;if(this.version===2&&this.disjointTimerQueryWebgl2Extension){let o=this.gl,i=this.disjointTimerQueryWebgl2Extension;n=o.getQueryParameter(t,o.QUERY_RESULT_AVAILABLE),e=o.getParameter(i.GPU_DISJOINT_EXT)}else throw new Error("WebGL1 profiling currently not supported");return n&&!e}getTimerResult(t){let n=0;if(this.version===2){let e=this.gl;n=e.getQueryParameter(t,e.QUERY_RESULT),e.deleteQuery(t)}else throw new Error("WebGL1 profiling currently not supported");return n/1e6}async waitForQueryAndGetTime(t){return await Ii(()=>this.isTimerResultAvailable(t)),this.getTimerResult(t)}async createAndWaitForFence(){let t=this.createFence(this.gl);return 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N.onnx.AttributeProto.AttributeType.TENSOR:return t.t;case N.onnx.AttributeProto.AttributeType.GRAPH:return t.g;case N.onnx.AttributeProto.AttributeType.FLOATS:return t.floats;case N.onnx.AttributeProto.AttributeType.INTS:return t.ints;case N.onnx.AttributeProto.AttributeType.STRINGS:return t.strings;case N.onnx.AttributeProto.AttributeType.TENSORS:return t.tensors;case N.onnx.AttributeProto.AttributeType.GRAPHS:return t.graphs;default:throw new Error(`unsupported attribute type: ${N.onnx.AttributeProto.AttributeType[t.type]}`)}}static getValueNoCheckFromOrtFormat(t){switch(t.type()){case mt.AttributeType.FLOAT:return t.f();case mt.AttributeType.INT:return t.i();case mt.AttributeType.STRING:return t.s();case mt.AttributeType.TENSOR:return t.t();case mt.AttributeType.GRAPH:return t.g();case mt.AttributeType.FLOATS:return t.floatsArray();case mt.AttributeType.INTS:{let n=[];for(let e=0;e<t.intsLength();e++)n.push(t.ints(e));return n}case mt.AttributeType.STRINGS:{let n=[];for(let e=0;e<t.stringsLength();e++)n.push(t.strings(e));return n}case mt.AttributeType.TENSORS:{let n=[];for(let e=0;e<t.tensorsLength();e++)n.push(t.tensors(e));return n}default:throw new Error(`unsupported attribute type: ${mt.AttributeType[t.type()]}`)}}}});var oa,ia,de,Pr,ra,ld=y(()=>{"use strict";ud();fn();oa=E(We());Ce();V();ia={from:(r,t)=>new ra(r,t)},de=class{constructor(t){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,t&&(this.type=rt.tensorValueTypeFromProto(t.type.tensorType))}get from(){return this._from}get to(){return this._to}},Pr=class{constructor(t,n){t instanceof oa.onnx.NodeProto?(this.name=t.name,this.opType=t.opType,this.attributes=new In(t.attribute)):t instanceof ai.Node&&(this.name=n??t.name(),this.opType=t.opType(),this.attributes=new In(rt.tensorAttributesFromORTFormat(t))),this.inputs=[],this.outputs=[],this.executeNode=!0}},ra=class{constructor(t,n){if(!t)throw new TypeError("graph is empty");this.buildGraph(t),this.transformGraph(n),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(t){if(t instanceof oa.onnx.GraphProto)this.buildGraphFromOnnxFormat(t);else if(t instanceof oi.Graph)this.buildGraphFromOrtFormat(t);else throw new TypeError("Graph type is not supported.")}buildGraphFromOnnxFormat(t){let n=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let e=new Map;if(!t.input)throw new Error("missing information in graph: input");let o=[];for(let i of t.input){if(n.has(i.name))throw new Error(`duplicated input name: ${i.name}`);let a=this._allData.push(new de(i))-1;n.set(i.name,a),o.push(i.name)}if(!t.initializer)throw new Error("missing information in graph: initializer");for(let i of t.initializer){let a=n.get(i.name);if(a===void 0){let s=new de;s.type={shape:{dims:rt.tensorDimsFromProto(i.dims)},tensorType:rt.tensorDataTypeFromProto(i.dataType)},a=this._allData.push(s)-1,n.set(i.name,a)}this._allData[a]._from=-1,this._allData[a].tensor=Y.fromProto(i)}for(let i=0;i<this._allData.length;i++)this._allData[i].tensor||(this._allInputIndices.push(i),this._allInputNames.push(o[i]));if(!t.output)throw new Error("missing information in graph: output");for(let i of t.output){if(n.has(i.name))throw new Error(`duplicated output name: ${i.name}`);let a=this._allData.push(new de(i))-1;n.set(i.name,a),this._allOutputIndices.push(a),this._allOutputNames.push(i.name)}if(!t.node)throw new Error("missing information in graph: node");for(let i of t.node){if(!i.name)for(let s=0;;s++){let u=`unnamed_${i.opType}_${s}`;if(!e.has(u)){i.name=u;break}}if(e.has(i.name))throw new Error(`duplicated node name: ${i.name}`);let a=this._nodes.push(new Pr(i))-1;e.set(i.name,a)}for(let i=0;i<this._nodes.length;i++){let a=this._nodes[i],s=t.node[i];if(!s.output)throw new Error(`missing output for node: ${s.name}`);for(let u of s.output){let l=n.get(u);if(typeof l>"u"&&(l=this._allData.push(new de)-1,n.set(u,l)),a.outputs.push(l),this._allData[l]._from!==void 0)throw new Error(`multiple nodes output to one data value: ${l}`);if(this._allData[l]._from=i,s.opType==="Constant"){if(!s.attribute||s.attribute.length!==1||!s.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!s.output||s.output.length!==1)throw new Error("missing output or incorrect number of outputs for this Constant operator");a.outputs.pop(),a.executeNode=!1,this._allData[l]._from=-1,this._allData[l].tensor=Y.fromProto(s.attribute[0].t)}}}for(let i=0;i<this._nodes.length;i++){let a=this._nodes[i],s=t.node[i];if(!s.input)throw new Error(`missing input for node: ${s.name}`);for(let u of s.input){let l=n.get(u);if(typeof l>"u"){if(u===""&&(s.input.length===3||s.input.length===4)&&s.opType==="Resize")continue;throw new Error(`unrecognized input '${u}' for node: ${s.name}`)}a.inputs.push(l),this._allData[l]._to.push(i)}}return!0}buildGraphFromOrtFormat(t){let n=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let e=new Map,o=[];for(let i=0;i<t.inputsLength();i++){let a=t.inputs(i);if(n.has(a))throw new Error(`duplicated input name: ${a}`);for(let s=0;s<t.nodeArgsLength();s++)if(t.nodeArgs(s)?.name()===a){let u=new de;if(t.nodeArgs(s)?.type()?.valueType()!==ui.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");let c=t.nodeArgs(s).type().value(new si.TensorTypeAndShape),d=rt.tensorDataTypeFromProto(c.elemType()),p=c.shape(),b=[];for(let m=0;m<p.dimLength();m++)b.push(ct.longToNumber(p.dim(m).value().dimValue()));u.type={shape:{dims:b},tensorType:d};let g=this._allData.push(u)-1;n.set(a,g),o.push(a)}}for(let i=0;i<t.initializersLength();i++){let a=t.initializers(i),s=n.get(a.name());if(s===void 0){let u=new de,l=rt.tensorDimsFromORTFormat(a),c=rt.tensorDataTypeFromProto(a.dataType());u.type={shape:{dims:l},tensorType:c},s=this._allData.push(u)-1,n.set(a.name(),s)}this._allData[s]._from=-1,this._allData[s].tensor=Y.fromOrtTensor(a)}for(let i=0;i<this._allData.length;i++)this._allData[i].tensor||(this._allInputIndices.push(i),this._allInputNames.push(o[i]));for(let i=0;i<t.outputsLength();i++){let a=t.outputs(i);if(n.has(a))throw new Error(`duplicated output name: ${a}`);let s=this._allData.push(new de)-1;n.set(a,s),this._allOutputIndices.push(s),this._allOutputNames.push(a)}if(!t.nodes)throw new Error("missing information in graph: node");for(let i=0;i<t.nodesLength();i++){let a=t.nodes(i),s=a.name();if(!s)for(let l=0;s=`unnamed_${a.opType()}_${l}`,!!e.has(s);l++);if(e.has(s))throw new Error(`duplicated node name: ${s}`);let u=this._nodes.push(new Pr(a,s))-1;e.set(s,u)}for(let i=0;i<this._nodes.length;i++){let a=this._nodes[i],s=t.nodes(i);if(s==null)throw new Error(`No node exists at index ${i}`);if(s?.outputsLength()===0)throw new Error(`missing output for node: ${s.name}`);for(let u=0;u<s?.outputsLength();u++){let l=s?.outputs(u),c=n.get(l);if(typeof c>"u"&&(c=this._allData.push(new de)-1,n.set(l,c)),a.outputs.push(c),this._allData[c]._from!==void 0)throw new Error(`multiple nodes output to one data value: ${c}`);if(this._allData[c]._from=i,s.opType()==="Constant"){if(s.attributesLength()!==1||!s.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(s.outputsLength()!==1)throw new Error("missing output or incorrect number of outputs for this Constant operator");a.outputs.pop(),a.executeNode=!1,this._allData[c]._from=-1,this._allData[c].tensor=Y.fromOrtTensor(s.attributes(0).t())}}}for(let i=0;i<this._nodes.length;i++){let a=this._nodes[i],s=t.nodes(i);if(s.inputsLength()===0)throw new Error(`missing input for node: ${s.name}`);for(let u=0;u<s.inputsLength();u++){let l=s.inputs(u),c=n.get(l);if(typeof c>"u")throw new Error(`unrecognized input '${l}' for node: ${s.name()}`);a.inputs.push(c),this._allData[c]._to.push(i)}}}checkIsAcyclic(){let t=new Set;this._allInputIndices.forEach(o=>{this._allData[o]._to.forEach(a=>{t.add(a)})});let n=Array.from(t),e=new Array(this._nodes.length).fill("white");for(;n.length>0;){let o=n.pop();e[o]==="gray"?e[o]="black":(n.push(o),e[o]="gray",this._nodes[o].outputs.forEach(i=>{let a=this._allData[i];if(typeof a.tensor<"u")throw new Error("node outputs should not be initialized");if(a._from!==o)throw new Error("from property of the Value object doesn't match index of Node being processed");a._to.forEach(s=>{if(e[s]==="gray")throw new Error("model graph is cyclic");e[s]==="white"&&n.push(s)})}))}}transformGraph(t){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),t&&t.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let t=0,n=new Array(this._nodes.length,0),e=0;for(let o=0;o<this._nodes.length;o++)n[o]=e,this._nodes[o].executeNode?(e!==o&&(this._nodes[e]=this._nodes[o]),e++):this._nodes[o].outputs.forEach(i=>{this._allData[i]._from=-2});this._nodes.splice(e,this._nodes.length-e);for(let o=0;o<this._allData.length;o++){let i=this._allData[o];i._from!==void 0&&i._from!==-1&&i._from!==-2&&(i._from=n[i._from]);for(let a=0;a<i._to.length;a++)if(i._to[a]>=0)i._to[a]=n[i._to[a]];else throw new Error("Trying to update a removed node")}t=0;for(let o=0;o<this._allData.length;o++){if(this._allData[o].from===-2&&this._allOutputIndices.indexOf(o+t)===-1){t++,this._allData.splice(o,1),o--;continue}if(t>0){let i=-1;this._allData[o].from!==void 0&&this._allData[o].from!==-1?(i=this._nodes[this._allData[o].from].outputs.indexOf(o+t),i!==-1&&(this._nodes[this._allData[o].from].outputs[i]=o)):(i=this._allInputIndices.indexOf(o+t),i!==-1&&(this._allInputIndices[i]=o)),this._allData[o].to.forEach(a=>{i=this._nodes[a].inputs.indexOf(o+t),i!==-1&&(this._nodes[a].inputs[i]=o)}),this._allData[o].to.length===0&&(i=this._allOutputIndices.indexOf(o+t),i!==-1&&(this._allOutputIndices[i]=o))}}}deleteNode(t){let n=this._nodes[t];if(n.outputs.length>1){for(let s=1;s<n.outputs.length;s++)if(this._allData[n.outputs[s]].to.length>0)throw new Error("Node deletion with more than one output connected to other nodes is not supported. ")}n.executeNode=!1;let e=n.inputs[0],o=n.outputs[0],i=this._allData[o].to;for(let s=0;s<n.inputs.length;s++){let u=this._allData[n.inputs[s]].to.indexOf(t);if(u===-1)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[n.inputs[s]].to.splice(u,1)}this._allData[o]._to=[];let a=this._allOutputIndices.indexOf(o);if(a!==-1&&(this._allOutputIndices[a]=e),i&&i.length>0)for(let s of i){let u=this._nodes[s].inputs.indexOf(o);if(u===-1)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[s].inputs[u]=e,this._allData[e].to.push(s)}}removeAllDropoutNodes(){let t=0;for(let n of this._nodes){if(n.opType==="Dropout"){if(n.inputs.length!==1)throw new Error("Dropout nodes should only contain one input. ");if(n.outputs.length!==1&&n.outputs.length!==2)throw new Error("Dropout nodes should contain either 1 or 2 output(s)");if(n.outputs.length===2&&this._allData[n.outputs[1]]._to.length!==0)throw new Error("Dropout nodes's second output should not be referenced by other nodes");this.deleteNode(t)}t++}}removeAllIdentityNodes(){let t=0;for(let n of this._nodes)n.opType==="Identity"&&this.deleteNode(t),t++}isActivation(t){switch(t.opType){case"Relu":case"Sigmoid":case"Clip":return!0;default:return!1}}fuseConvActivationNodes(){for(let t of this._nodes)if(t.opType==="Conv"){let n=this._allData[t.outputs[0]]._to;if(n.length===1&&this.isActivation(this._nodes[n[0]])){let e=this._nodes[n[0]];if(e.opType==="Clip")if(e.inputs.length===1)try{t.attributes.set("activation_params","floats",[e.attributes.getFloat("min"),e.attributes.getFloat("max")])}catch{t.attributes.set("activation_params","floats",[Ne,Fe])}else if(e.inputs.length>=3&&this._allData[e.inputs[1]].tensor!==void 0&&this._allData[e.inputs[2]].tensor!==void 0)t.attributes.set("activation_params","floats",[this._allData[e.inputs[1]].tensor.floatData[0],this._allData[e.inputs[2]].tensor.floatData[0]]);else continue;t.attributes.set("activation","string",e.opType),this.deleteNode(n[0])}}}}});var cd,fd,Sr,dd=y(()=>{"use strict";cd=E(M());ld();fn();fd=E(We());V();Sr=class{constructor(){}load(t,n,e){let o;if(!e)try{this.loadFromOnnxFormat(t,n);return}catch(i){if(e!==void 0)throw i;o=i}try{this.loadFromOrtFormat(t,n)}catch(i){throw e!==void 0?i:new Error(`Failed to load model as ONNX format: ${o}
as ORT format: ${i}`)}}loadFromOnnxFormat(t,n){let e=fd.onnx.ModelProto.decode(t);if(ct.longToNumber(e.irVersion)<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=e.opsetImport.map(i=>({domain:i.domain,version:ct.longToNumber(i.version)})),this._graph=ia.from(e.graph,n)}loadFromOrtFormat(t,n){let e=new cd.ByteBuffer(t),o=ii.InferenceSession.getRootAsInferenceSession(e).model();if(ct.longToNumber(o.irVersion())<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=[];for(let a=0;a<o.opsetImportLength();a++){let s=o.opsetImport(a);this._opsets.push({domain:s?.domain(),version:ct.longToNumber(s.version())})}this._graph=ia.from(o.graph(),n)}get graph(){return this._graph}get opsets(){return this._opsets}}});var Ar,pd=y(()=>{"use strict";ad();sd();dt();dd();Ar=class{constructor(t={}){this._initialized=!1,this.backendHint=t.backendHint,this.profiler=Nn.create(t.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(t,n,e){await this.profiler.event("session","Session.loadModel",async()=>{let o=await ea(this.backendHint);if(this.sessionHandler=o.createSessionHandler(this.context),this._model=new Sr,typeof t=="string"){let i=t.endsWith(".ort");{let s=await(await fetch(t)).arrayBuffer();this.initialize(new Uint8Array(s),i)}}else if(ArrayBuffer.isView(t))this.initialize(t);else{let i=new Uint8Array(t,n||0,e||t.byteLength);this.initialize(i)}})}initialize(t,n){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",()=>{let e=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(t,e,n),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new Or(this._model.graph,this._ops,this.profiler)}),this._initialized=!0}async run(t){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",async()=>{let n=this.normalizeAndValidateInputs(t),e=await this._executionPlan.execute(this.sessionHandler,n);return this.createOutput(e)})}normalizeAndValidateInputs(t){let n=this._model.graph.getInputNames();if(Array.isArray(t)){if(t.length!==n.length)throw new Error(`incorrect input array length: expected ${n.length} but got ${t.length}`)}else{if(t.size!==n.length)throw new Error(`incorrect input map size: expected ${n.length} but got ${t.size}`);let e=new Array(t.size),o=0;for(let i=0;i<n.length;++i){let a=t.get(n[i]);if(!a)throw new Error(`missing input tensor for: '${name}'`);e[o++]=a}t=e}if(!this.context.graphInputTypes||this.context.graphInputTypes.length===0||!this.context.graphInputDims||this.context.graphInputDims.length===0){let e=this._model.graph.getInputIndices(),o=this._model.graph.getValues(),i=new Array(e.length);for(let a=0;a<e.length;++a){let s=o[e[a]];i[a]=s.type.shape.dims,this.context.graphInputTypes.push(s.type.tensorType),this.context.graphInputDims.push(t[a].dims)}this.validateInputTensorDims(i,t,!0)}else this.validateInputTensorDims(this.context.graphInputDims,t,!1);return this.validateInputTensorTypes(this.context.graphInputTypes,t),t}validateInputTensorTypes(t,n){for(let e=0;e<n.length;e++){let o=t[e],i=n[e].type;if(o!==i)throw new Error(`input tensor[${e}] check failed: expected type '${o}' but got ${i}`)}}validateInputTensorDims(t,n,e){for(let o=0;o<n.length;o++){let i=t[o],a=n[o].dims;if(!this.compareTensorDims(i,a,e))throw new Error(`input tensor[${o}] check failed: expected shape '[${i.join(",")}]' but got [${a.join(",")}]`)}}compareTensorDims(t,n,e){if(t.length!==n.length)return!1;for(let o=0;o<t.length;++o)if(t[o]!==n[o]&&(!e||t[o]!==0))return!1;return!0}createOutput(t){let n=this._model.graph.getOutputNames();if(t.length!==n.length)throw new Error("expected number of outputs do not match number of generated outputs");let e=new Map;for(let o=0;o<n.length;++o)e.set(n[o],t[o]);return e}initializeOps(t){let n=t.getNodes();this._ops=new Array(n.length);for(let e=0;e<n.length;e++)this._ops[e]=this.sessionHandler.resolve(n[e],this._model.opsets,t)}}});var Er,hd=y(()=>{"use strict";be();Ce();Er=class{constructor(t){this.session=t;this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}get inputMetadata(){throw new Error("Getting model metadata is not supported in webgl backend.")}get outputMetadata(){throw new Error("Getting model metadata is not supported in webgl backend.")}async dispose(){}async run(t,n,e){let o=new Map;for(let s in t)if(Object.hasOwnProperty.call(t,s)){let u=t[s];o.set(s,new Y(u.dims,u.type,void 0,void 0,u.data))}let i=await this.session.run(o),a={};return i.forEach((s,u)=>{a[u]=new Et(s.type,s.data,s.dims)}),a}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}});var bd={};Dr(bd,{onnxjsBackend:()=>bT});var aa,bT,md=y(()=>{"use strict";pd();hd();aa=class{async init(){}async createInferenceSessionHandler(t,n){let e=new Ar(n);return typeof t=="string"?await e.loadModel(t):await e.loadModel(t),new Er(e)}},bT=new aa});var gT={};Dr(gT,{InferenceSession:()=>$a,TRACE:()=>Cr,TRACE_EVENT_BEGIN:()=>rn,TRACE_EVENT_END:()=>on,TRACE_FUNC_BEGIN:()=>en,TRACE_FUNC_END:()=>nn,Tensor:()=>Et,default:()=>mT,env:()=>K,registerBackend:()=>Qe});be();be();be();var ka="1.26.0";var mT=Gr;{let r=(md(),ua(bd)).onnxjsBackend;Qe("webgl",r,-10)}Object.defineProperty(K.versions,"web",{value:ka,enumerable:!0});return ua(gT);})();
/*! Bundled license information:

long/index.js:
  (**
   * @license
   * Copyright 2009 The Closure Library Authors
   * Copyright 2020 Daniel Wirtz / The long.js Authors.
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   *     http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   *
   * SPDX-License-Identifier: Apache-2.0
   *)
*/
typeof exports=="object"&&typeof module=="object"&&(module.exports=ort);
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