/*! For license information please see ort.min.js.LICENSE.txt */
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expected";for(t=0;t<e.strings.length;++t)if(!(e.strings[t]&&"number"==typeof e.strings[t].length||u.isString(e.strings[t])))return"strings: buffer[] expected"}if(null!=e.tensors&&e.hasOwnProperty("tensors")){if(!Array.isArray(e.tensors))return"tensors: array expected";for(t=0;t<e.tensors.length;++t)if(n=l.onnx.TensorProto.verify(e.tensors[t]))return"tensors."+n}if(null!=e.graphs&&e.hasOwnProperty("graphs")){if(!Array.isArray(e.graphs))return"graphs: array expected";for(t=0;t<e.graphs.length;++t)if(n=l.onnx.GraphProto.verify(e.graphs[t]))return"graphs."+n}if(null!=e.sparseTensors&&e.hasOwnProperty("sparseTensors")){if(!Array.isArray(e.sparseTensors))return"sparseTensors: array expected";for(t=0;t<e.sparseTensors.length;++t)if(n=l.onnx.SparseTensorProto.verify(e.sparseTensors[t]))return"sparseTensors."+n}if(null!=e.typeProtos&&e.hasOwnProperty("typeProtos")){if(!Array.isArray(e.typeProtos))return"typeProtos: array expected";for(t=0;t<e.typeProtos.length;++t){var n;if(n=l.onnx.TypeProto.verify(e.typeProtos[t]))return"typeProtos."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.AttributeProto)return e;var t=new l.onnx.AttributeProto;switch(null!=e.name&&(t.name=String(e.name)),null!=e.refAttrName&&(t.refAttrName=String(e.refAttrName)),null!=e.docString&&(t.docString=String(e.docString)),e.type){default:if("number"==typeof e.type){t.type=e.type;break}break;case"UNDEFINED":case 0:t.type=0;break;case"FLOAT":case 1:t.type=1;break;case"INT":case 2:t.type=2;break;case"STRING":case 3:t.type=3;break;case"TENSOR":case 4:t.type=4;break;case"GRAPH":case 5:t.type=5;break;case"SPARSE_TENSOR":case 11:t.type=11;break;case"TYPE_PROTO":case 13:t.type=13;break;case"FLOATS":case 6:t.type=6;break;case"INTS":case 7:t.type=7;break;case"STRINGS":case 8:t.type=8;break;case"TENSORS":case 9:t.type=9;break;case"GRAPHS":case 10:t.type=10;break;case"SPARSE_TENSORS":case 12:t.type=12;break;case"TYPE_PROTOS":case 14:t.type=14}if(null!=e.f&&(t.f=Number(e.f)),null!=e.i&&(u.Long?(t.i=u.Long.fromValue(e.i)).unsigned=!1:"string"==typeof e.i?t.i=parseInt(e.i,10):"number"==typeof e.i?t.i=e.i:"object"==typeof e.i&&(t.i=new u.LongBits(e.i.low>>>0,e.i.high>>>0).toNumber())),null!=e.s&&("string"==typeof e.s?u.base64.decode(e.s,t.s=u.newBuffer(u.base64.length(e.s)),0):e.s.length>=0&&(t.s=e.s)),null!=e.t){if("object"!=typeof e.t)throw TypeError(".onnx.AttributeProto.t: object expected");t.t=l.onnx.TensorProto.fromObject(e.t)}if(null!=e.g){if("object"!=typeof e.g)throw TypeError(".onnx.AttributeProto.g: object expected");t.g=l.onnx.GraphProto.fromObject(e.g)}if(null!=e.sparseTensor){if("object"!=typeof e.sparseTensor)throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");t.sparseTensor=l.onnx.SparseTensorProto.fromObject(e.sparseTensor)}if(null!=e.tp){if("object"!=typeof e.tp)throw TypeError(".onnx.AttributeProto.tp: object expected");t.tp=l.onnx.TypeProto.fromObject(e.tp)}if(e.floats){if(!Array.isArray(e.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");t.floats=[];for(var n=0;n<e.floats.length;++n)t.floats[n]=Number(e.floats[n])}if(e.ints){if(!Array.isArray(e.ints))throw TypeError(".onnx.AttributeProto.ints: array expected");for(t.ints=[],n=0;n<e.ints.length;++n)u.Long?(t.ints[n]=u.Long.fromValue(e.ints[n])).unsigned=!1:"string"==typeof e.ints[n]?t.ints[n]=parseInt(e.ints[n],10):"number"==typeof e.ints[n]?t.ints[n]=e.ints[n]:"object"==typeof e.ints[n]&&(t.ints[n]=new u.LongBits(e.ints[n].low>>>0,e.ints[n].high>>>0).toNumber())}if(e.strings){if(!Array.isArray(e.strings))throw TypeError(".onnx.AttributeProto.strings: array expected");for(t.strings=[],n=0;n<e.strings.length;++n)"string"==typeof e.strings[n]?u.base64.decode(e.strings[n],t.strings[n]=u.newBuffer(u.base64.length(e.strings[n])),0):e.strings[n].length>=0&&(t.strings[n]=e.strings[n])}if(e.tensors){if(!Array.isArray(e.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");for(t.tensors=[],n=0;n<e.tensors.length;++n){if("object"!=typeof e.tensors[n])throw TypeError(".onnx.AttributeProto.tensors: object expected");t.tensors[n]=l.onnx.TensorProto.fromObject(e.tensors[n])}}if(e.graphs){if(!Array.isArray(e.graphs))throw TypeError(".onnx.AttributeProto.graphs: array expected");for(t.graphs=[],n=0;n<e.graphs.length;++n){if("object"!=typeof e.graphs[n])throw TypeError(".onnx.AttributeProto.graphs: object expected");t.graphs[n]=l.onnx.GraphProto.fromObject(e.graphs[n])}}if(e.sparseTensors){if(!Array.isArray(e.sparseTensors))throw TypeError(".onnx.AttributeProto.sparseTensors: array expected");for(t.sparseTensors=[],n=0;n<e.sparseTensors.length;++n){if("object"!=typeof e.sparseTensors[n])throw TypeError(".onnx.AttributeProto.sparseTensors: object expected");t.sparseTensors[n]=l.onnx.SparseTensorProto.fromObject(e.sparseTensors[n])}}if(e.typeProtos){if(!Array.isArray(e.typeProtos))throw TypeError(".onnx.AttributeProto.typeProtos: array expected");for(t.typeProtos=[],n=0;n<e.typeProtos.length;++n){if("object"!=typeof e.typeProtos[n])throw TypeError(".onnx.AttributeProto.typeProtos: object expected");t.typeProtos[n]=l.onnx.TypeProto.fromObject(e.typeProtos[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[],n.typeProtos=[],n.sparseTensors=[]),t.defaults){if(n.name="",n.f=0,u.Long){var r=new u.Long(0,0,!1);n.i=t.longs===String?r.toString():t.longs===Number?r.toNumber():r}else n.i=t.longs===String?"0":0;t.bytes===String?n.s="":(n.s=[],t.bytes!==Array&&(n.s=u.newBuffer(n.s))),n.t=null,n.g=null,n.docString="",n.tp=null,n.type=t.enums===String?"UNDEFINED":0,n.refAttrName="",n.sparseTensor=null}if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),null!=e.f&&e.hasOwnProperty("f")&&(n.f=t.json&&!isFinite(e.f)?String(e.f):e.f),null!=e.i&&e.hasOwnProperty("i")&&("number"==typeof e.i?n.i=t.longs===String?String(e.i):e.i:n.i=t.longs===String?u.Long.prototype.toString.call(e.i):t.longs===Number?new u.LongBits(e.i.low>>>0,e.i.high>>>0).toNumber():e.i),null!=e.s&&e.hasOwnProperty("s")&&(n.s=t.bytes===String?u.base64.encode(e.s,0,e.s.length):t.bytes===Array?Array.prototype.slice.call(e.s):e.s),null!=e.t&&e.hasOwnProperty("t")&&(n.t=l.onnx.TensorProto.toObject(e.t,t)),null!=e.g&&e.hasOwnProperty("g")&&(n.g=l.onnx.GraphProto.toObject(e.g,t)),e.floats&&e.floats.length){n.floats=[];for(var o=0;o<e.floats.length;++o)n.floats[o]=t.json&&!isFinite(e.floats[o])?String(e.floats[o]):e.floats[o]}if(e.ints&&e.ints.length)for(n.ints=[],o=0;o<e.ints.length;++o)"number"==typeof e.ints[o]?n.ints[o]=t.longs===String?String(e.ints[o]):e.ints[o]:n.ints[o]=t.longs===String?u.Long.prototype.toString.call(e.ints[o]):t.longs===Number?new u.LongBits(e.ints[o].low>>>0,e.ints[o].high>>>0).toNumber():e.ints[o];if(e.strings&&e.strings.length)for(n.strings=[],o=0;o<e.strings.length;++o)n.strings[o]=t.bytes===String?u.base64.encode(e.strings[o],0,e.strings[o].length):t.bytes===Array?Array.prototype.slice.call(e.strings[o]):e.strings[o];if(e.tensors&&e.tensors.length)for(n.tensors=[],o=0;o<e.tensors.length;++o)n.tensors[o]=l.onnx.TensorProto.toObject(e.tensors[o],t);if(e.graphs&&e.graphs.length)for(n.graphs=[],o=0;o<e.graphs.length;++o)n.graphs[o]=l.onnx.GraphProto.toObject(e.graphs[o],t);if(null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),null!=e.tp&&e.hasOwnProperty("tp")&&(n.tp=l.onnx.TypeProto.toObject(e.tp,t)),e.typeProtos&&e.typeProtos.length)for(n.typeProtos=[],o=0;o<e.typeProtos.length;++o)n.typeProtos[o]=l.onnx.TypeProto.toObject(e.typeProtos[o],t);if(null!=e.type&&e.hasOwnProperty("type")&&(n.type=t.enums===String?void 0===l.onnx.AttributeProto.AttributeType[e.type]?e.type:l.onnx.AttributeProto.AttributeType[e.type]:e.type),null!=e.refAttrName&&e.hasOwnProperty("refAttrName")&&(n.refAttrName=e.refAttrName),null!=e.sparseTensor&&e.hasOwnProperty("sparseTensor")&&(n.sparseTensor=l.onnx.SparseTensorProto.toObject(e.sparseTensor,t)),e.sparseTensors&&e.sparseTensors.length)for(n.sparseTensors=[],o=0;o<e.sparseTensors.length;++o)n.sparseTensors[o]=l.onnx.SparseTensorProto.toObject(e.sparseTensors[o],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.AttributeProto"},e.AttributeType=function(){var e={},t=Object.create(e);return t[e[0]="UNDEFINED"]=0,t[e[1]="FLOAT"]=1,t[e[2]="INT"]=2,t[e[3]="STRING"]=3,t[e[4]="TENSOR"]=4,t[e[5]="GRAPH"]=5,t[e[11]="SPARSE_TENSOR"]=11,t[e[13]="TYPE_PROTO"]=13,t[e[6]="FLOATS"]=6,t[e[7]="INTS"]=7,t[e[8]="STRINGS"]=8,t[e[9]="TENSORS"]=9,t[e[10]="GRAPHS"]=10,t[e[12]="SPARSE_TENSORS"]=12,t[e[14]="TYPE_PROTOS"]=14,t}(),e}(),o.ValueInfoProto=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.name="",e.prototype.type=null,e.prototype.docString="",e.create=function(t){return new e(t)},e.encode=function(e,t){return t||(t=s.create()),null!=e.name&&Object.hasOwnProperty.call(e,"name")&&t.uint32(10).string(e.name),null!=e.type&&Object.hasOwnProperty.call(e,"type")&&l.onnx.TypeProto.encode(e.type,t.uint32(18).fork()).ldelim(),null!=e.docString&&Object.hasOwnProperty.call(e,"docString")&&t.uint32(26).string(e.docString),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.ValueInfoProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.name=e.string();break;case 2:r.type=l.onnx.TypeProto.decode(e,e.uint32());break;case 3:r.docString=e.string();break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.name&&e.hasOwnProperty("name")&&!u.isString(e.name))return"name: string expected";if(null!=e.type&&e.hasOwnProperty("type")){var t=l.onnx.TypeProto.verify(e.type);if(t)return"type."+t}return null!=e.docString&&e.hasOwnProperty("docString")&&!u.isString(e.docString)?"docString: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.ValueInfoProto)return e;var t=new l.onnx.ValueInfoProto;if(null!=e.name&&(t.name=String(e.name)),null!=e.type){if("object"!=typeof e.type)throw TypeError(".onnx.ValueInfoProto.type: object expected");t.type=l.onnx.TypeProto.fromObject(e.type)}return null!=e.docString&&(t.docString=String(e.docString)),t},e.toObject=function(e,t){t||(t={});var n={};return t.defaults&&(n.name="",n.type=null,n.docString=""),null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),null!=e.type&&e.hasOwnProperty("type")&&(n.type=l.onnx.TypeProto.toObject(e.type,t)),null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.ValueInfoProto"},e}(),o.NodeProto=function(){function e(e){if(this.input=[],this.output=[],this.attribute=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.input=u.emptyArray,e.prototype.output=u.emptyArray,e.prototype.name="",e.prototype.opType="",e.prototype.domain="",e.prototype.attribute=u.emptyArray,e.prototype.docString="",e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=s.create()),null!=e.input&&e.input.length)for(var n=0;n<e.input.length;++n)t.uint32(10).string(e.input[n]);if(null!=e.output&&e.output.length)for(n=0;n<e.output.length;++n)t.uint32(18).string(e.output[n]);if(null!=e.name&&Object.hasOwnProperty.call(e,"name")&&t.uint32(26).string(e.name),null!=e.opType&&Object.hasOwnProperty.call(e,"opType")&&t.uint32(34).string(e.opType),null!=e.attribute&&e.attribute.length)for(n=0;n<e.attribute.length;++n)l.onnx.AttributeProto.encode(e.attribute[n],t.uint32(42).fork()).ldelim();return null!=e.docString&&Object.hasOwnProperty.call(e,"docString")&&t.uint32(50).string(e.docString),null!=e.domain&&Object.hasOwnProperty.call(e,"domain")&&t.uint32(58).string(e.domain),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.NodeProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.input&&r.input.length||(r.input=[]),r.input.push(e.string());break;case 2:r.output&&r.output.length||(r.output=[]),r.output.push(e.string());break;case 3:r.name=e.string();break;case 4:r.opType=e.string();break;case 7:r.domain=e.string();break;case 5:r.attribute&&r.attribute.length||(r.attribute=[]),r.attribute.push(l.onnx.AttributeProto.decode(e,e.uint32()));break;case 6:r.docString=e.string();break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.input&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(var t=0;t<e.input.length;++t)if(!u.isString(e.input[t]))return"input: string[] expected"}if(null!=e.output&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(t=0;t<e.output.length;++t)if(!u.isString(e.output[t]))return"output: string[] expected"}if(null!=e.name&&e.hasOwnProperty("name")&&!u.isString(e.name))return"name: string expected";if(null!=e.opType&&e.hasOwnProperty("opType")&&!u.isString(e.opType))return"opType: string expected";if(null!=e.domain&&e.hasOwnProperty("domain")&&!u.isString(e.domain))return"domain: string expected";if(null!=e.attribute&&e.hasOwnProperty("attribute")){if(!Array.isArray(e.attribute))return"attribute: array expected";for(t=0;t<e.attribute.length;++t){var n=l.onnx.AttributeProto.verify(e.attribute[t]);if(n)return"attribute."+n}}return null!=e.docString&&e.hasOwnProperty("docString")&&!u.isString(e.docString)?"docString: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.NodeProto)return e;var t=new l.onnx.NodeProto;if(e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.NodeProto.input: array expected");t.input=[];for(var n=0;n<e.input.length;++n)t.input[n]=String(e.input[n])}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.NodeProto.output: array expected");for(t.output=[],n=0;n<e.output.length;++n)t.output[n]=String(e.output[n])}if(null!=e.name&&(t.name=String(e.name)),null!=e.opType&&(t.opType=String(e.opType)),null!=e.domain&&(t.domain=String(e.domain)),e.attribute){if(!Array.isArray(e.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");for(t.attribute=[],n=0;n<e.attribute.length;++n){if("object"!=typeof e.attribute[n])throw TypeError(".onnx.NodeProto.attribute: object expected");t.attribute[n]=l.onnx.AttributeProto.fromObject(e.attribute[n])}}return null!=e.docString&&(t.docString=String(e.docString)),t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.input=[],n.output=[],n.attribute=[]),t.defaults&&(n.name="",n.opType="",n.docString="",n.domain=""),e.input&&e.input.length){n.input=[];for(var r=0;r<e.input.length;++r)n.input[r]=e.input[r]}if(e.output&&e.output.length)for(n.output=[],r=0;r<e.output.length;++r)n.output[r]=e.output[r];if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),null!=e.opType&&e.hasOwnProperty("opType")&&(n.opType=e.opType),e.attribute&&e.attribute.length)for(n.attribute=[],r=0;r<e.attribute.length;++r)n.attribute[r]=l.onnx.AttributeProto.toObject(e.attribute[r],t);return null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.NodeProto"},e}(),o.TrainingInfoProto=function(){function e(e){if(this.initializationBinding=[],this.updateBinding=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.initialization=null,e.prototype.algorithm=null,e.prototype.initializationBinding=u.emptyArray,e.prototype.updateBinding=u.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=s.create()),null!=e.initialization&&Object.hasOwnProperty.call(e,"initialization")&&l.onnx.GraphProto.encode(e.initialization,t.uint32(10).fork()).ldelim(),null!=e.algorithm&&Object.hasOwnProperty.call(e,"algorithm")&&l.onnx.GraphProto.encode(e.algorithm,t.uint32(18).fork()).ldelim(),null!=e.initializationBinding&&e.initializationBinding.length)for(var n=0;n<e.initializationBinding.length;++n)l.onnx.StringStringEntryProto.encode(e.initializationBinding[n],t.uint32(26).fork()).ldelim();if(null!=e.updateBinding&&e.updateBinding.length)for(n=0;n<e.updateBinding.length;++n)l.onnx.StringStringEntryProto.encode(e.updateBinding[n],t.uint32(34).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TrainingInfoProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.initialization=l.onnx.GraphProto.decode(e,e.uint32());break;case 2:r.algorithm=l.onnx.GraphProto.decode(e,e.uint32());break;case 3:r.initializationBinding&&r.initializationBinding.length||(r.initializationBinding=[]),r.initializationBinding.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;case 4:r.updateBinding&&r.updateBinding.length||(r.updateBinding=[]),r.updateBinding.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.initialization&&e.hasOwnProperty("initialization")&&(n=l.onnx.GraphProto.verify(e.initialization)))return"initialization."+n;if(null!=e.algorithm&&e.hasOwnProperty("algorithm")&&(n=l.onnx.GraphProto.verify(e.algorithm)))return"algorithm."+n;if(null!=e.initializationBinding&&e.hasOwnProperty("initializationBinding")){if(!Array.isArray(e.initializationBinding))return"initializationBinding: array expected";for(var 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TypeError(".onnx.TrainingInfoProto.initializationBinding: array expected");t.initializationBinding=[];for(var n=0;n<e.initializationBinding.length;++n){if("object"!=typeof e.initializationBinding[n])throw TypeError(".onnx.TrainingInfoProto.initializationBinding: object expected");t.initializationBinding[n]=l.onnx.StringStringEntryProto.fromObject(e.initializationBinding[n])}}if(e.updateBinding){if(!Array.isArray(e.updateBinding))throw TypeError(".onnx.TrainingInfoProto.updateBinding: array expected");for(t.updateBinding=[],n=0;n<e.updateBinding.length;++n){if("object"!=typeof e.updateBinding[n])throw TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");t.updateBinding[n]=l.onnx.StringStringEntryProto.fromObject(e.updateBinding[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.initializationBinding=[],n.updateBinding=[]),t.defaults&&(n.initialization=null,n.algorithm=null),null!=e.initialization&&e.hasOwnProperty("initialization")&&(n.initialization=l.onnx.GraphProto.toObject(e.initialization,t)),null!=e.algorithm&&e.hasOwnProperty("algorithm")&&(n.algorithm=l.onnx.GraphProto.toObject(e.algorithm,t)),e.initializationBinding&&e.initializationBinding.length){n.initializationBinding=[];for(var r=0;r<e.initializationBinding.length;++r)n.initializationBinding[r]=l.onnx.StringStringEntryProto.toObject(e.initializationBinding[r],t)}if(e.updateBinding&&e.updateBinding.length)for(n.updateBinding=[],r=0;r<e.updateBinding.length;++r)n.updateBinding[r]=l.onnx.StringStringEntryProto.toObject(e.updateBinding[r],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 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TypeError(".onnx.ModelProto.opsetImport: object expected");t.opsetImport[n]=l.onnx.OperatorSetIdProto.fromObject(e.opsetImport[n])}}if(null!=e.producerName&&(t.producerName=String(e.producerName)),null!=e.producerVersion&&(t.producerVersion=String(e.producerVersion)),null!=e.domain&&(t.domain=String(e.domain)),null!=e.modelVersion&&(u.Long?(t.modelVersion=u.Long.fromValue(e.modelVersion)).unsigned=!1:"string"==typeof e.modelVersion?t.modelVersion=parseInt(e.modelVersion,10):"number"==typeof e.modelVersion?t.modelVersion=e.modelVersion:"object"==typeof e.modelVersion&&(t.modelVersion=new u.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber())),null!=e.docString&&(t.docString=String(e.docString)),null!=e.graph){if("object"!=typeof e.graph)throw TypeError(".onnx.ModelProto.graph: object expected");t.graph=l.onnx.GraphProto.fromObject(e.graph)}if(e.metadataProps){if(!Array.isArray(e.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array 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n={};if((t.arrays||t.defaults)&&(n.opsetImport=[],n.metadataProps=[],n.trainingInfo=[],n.functions=[]),t.defaults){if(u.Long){var r=new u.Long(0,0,!1);n.irVersion=t.longs===String?r.toString():t.longs===Number?r.toNumber():r}else n.irVersion=t.longs===String?"0":0;n.producerName="",n.producerVersion="",n.domain="",u.Long?(r=new u.Long(0,0,!1),n.modelVersion=t.longs===String?r.toString():t.longs===Number?r.toNumber():r):n.modelVersion=t.longs===String?"0":0,n.docString="",n.graph=null}if(null!=e.irVersion&&e.hasOwnProperty("irVersion")&&("number"==typeof e.irVersion?n.irVersion=t.longs===String?String(e.irVersion):e.irVersion:n.irVersion=t.longs===String?u.Long.prototype.toString.call(e.irVersion):t.longs===Number?new u.LongBits(e.irVersion.low>>>0,e.irVersion.high>>>0).toNumber():e.irVersion),null!=e.producerName&&e.hasOwnProperty("producerName")&&(n.producerName=e.producerName),null!=e.producerVersion&&e.hasOwnProperty("producerVersion")&&(n.producerVersion=e.producerVersion),null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),null!=e.modelVersion&&e.hasOwnProperty("modelVersion")&&("number"==typeof e.modelVersion?n.modelVersion=t.longs===String?String(e.modelVersion):e.modelVersion:n.modelVersion=t.longs===String?u.Long.prototype.toString.call(e.modelVersion):t.longs===Number?new u.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber():e.modelVersion),null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),null!=e.graph&&e.hasOwnProperty("graph")&&(n.graph=l.onnx.GraphProto.toObject(e.graph,t)),e.opsetImport&&e.opsetImport.length){n.opsetImport=[];for(var o=0;o<e.opsetImport.length;++o)n.opsetImport[o]=l.onnx.OperatorSetIdProto.toObject(e.opsetImport[o],t)}if(e.metadataProps&&e.metadataProps.length)for(n.metadataProps=[],o=0;o<e.metadataProps.length;++o)n.metadataProps[o]=l.onnx.StringStringEntryProto.toObject(e.metadataProps[o],t);if(e.trainingInfo&&e.trainingInfo.length)for(n.trainingInfo=[],o=0;o<e.trainingInfo.length;++o)n.trainingInfo[o]=l.onnx.TrainingInfoProto.toObject(e.trainingInfo[o],t);if(e.functions&&e.functions.length)for(n.functions=[],o=0;o<e.functions.length;++o)n.functions[o]=l.onnx.FunctionProto.toObject(e.functions[o],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.ModelProto"},e}(),o.StringStringEntryProto=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.key="",e.prototype.value="",e.create=function(t){return new e(t)},e.encode=function(e,t){return t||(t=s.create()),null!=e.key&&Object.hasOwnProperty.call(e,"key")&&t.uint32(10).string(e.key),null!=e.value&&Object.hasOwnProperty.call(e,"value")&&t.uint32(18).string(e.value),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.StringStringEntryProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.key=e.string();break;case 2:r.value=e.string();break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){return"object"!=typeof e||null===e?"object expected":null!=e.key&&e.hasOwnProperty("key")&&!u.isString(e.key)?"key: string expected":null!=e.value&&e.hasOwnProperty("value")&&!u.isString(e.value)?"value: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.StringStringEntryProto)return e;var t=new l.onnx.StringStringEntryProto;return null!=e.key&&(t.key=String(e.key)),null!=e.value&&(t.value=String(e.value)),t},e.toObject=function(e,t){t||(t={});var n={};return t.defaults&&(n.key="",n.value=""),null!=e.key&&e.hasOwnProperty("key")&&(n.key=e.key),null!=e.value&&e.hasOwnProperty("value")&&(n.value=e.value),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.StringStringEntryProto"},e}(),o.TensorAnnotation=function(){function e(e){if(this.quantParameterTensorNames=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.tensorName="",e.prototype.quantParameterTensorNames=u.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=s.create()),null!=e.tensorName&&Object.hasOwnProperty.call(e,"tensorName")&&t.uint32(10).string(e.tensorName),null!=e.quantParameterTensorNames&&e.quantParameterTensorNames.length)for(var n=0;n<e.quantParameterTensorNames.length;++n)l.onnx.StringStringEntryProto.encode(e.quantParameterTensorNames[n],t.uint32(18).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TensorAnnotation;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.tensorName=e.string();break;case 2:r.quantParameterTensorNames&&r.quantParameterTensorNames.length||(r.quantParameterTensorNames=[]),r.quantParameterTensorNames.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.tensorName&&e.hasOwnProperty("tensorName")&&!u.isString(e.tensorName))return"tensorName: string expected";if(null!=e.quantParameterTensorNames&&e.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(e.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var t=0;t<e.quantParameterTensorNames.length;++t){var n=l.onnx.StringStringEntryProto.verify(e.quantParameterTensorNames[t]);if(n)return"quantParameterTensorNames."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.TensorAnnotation)return e;var t=new l.onnx.TensorAnnotation;if(null!=e.tensorName&&(t.tensorName=String(e.tensorName)),e.quantParameterTensorNames){if(!Array.isArray(e.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");t.quantParameterTensorNames=[];for(var n=0;n<e.quantParameterTensorNames.length;++n){if("object"!=typeof e.quantParameterTensorNames[n])throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");t.quantParameterTensorNames[n]=l.onnx.StringStringEntryProto.fromObject(e.quantParameterTensorNames[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.quantParameterTensorNames=[]),t.defaults&&(n.tensorName=""),null!=e.tensorName&&e.hasOwnProperty("tensorName")&&(n.tensorName=e.tensorName),e.quantParameterTensorNames&&e.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var r=0;r<e.quantParameterTensorNames.length;++r)n.quantParameterTensorNames[r]=l.onnx.StringStringEntryProto.toObject(e.quantParameterTensorNames[r],t)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.TensorAnnotation"},e}(),o.GraphProto=function(){function e(e){if(this.node=[],this.initializer=[],this.sparseInitializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.node=u.emptyArray,e.prototype.name="",e.prototype.initializer=u.emptyArray,e.prototype.sparseInitializer=u.emptyArray,e.prototype.docString="",e.prototype.input=u.emptyArray,e.prototype.output=u.emptyArray,e.prototype.valueInfo=u.emptyArray,e.prototype.quantizationAnnotation=u.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=s.create()),null!=e.node&&e.node.length)for(var n=0;n<e.node.length;++n)l.onnx.NodeProto.encode(e.node[n],t.uint32(10).fork()).ldelim();if(null!=e.name&&Object.hasOwnProperty.call(e,"name")&&t.uint32(18).string(e.name),null!=e.initializer&&e.initializer.length)for(n=0;n<e.initializer.length;++n)l.onnx.TensorProto.encode(e.initializer[n],t.uint32(42).fork()).ldelim();if(null!=e.docString&&Object.hasOwnProperty.call(e,"docString")&&t.uint32(82).string(e.docString),null!=e.input&&e.input.length)for(n=0;n<e.input.length;++n)l.onnx.ValueInfoProto.encode(e.input[n],t.uint32(90).fork()).ldelim();if(null!=e.output&&e.output.length)for(n=0;n<e.output.length;++n)l.onnx.ValueInfoProto.encode(e.output[n],t.uint32(98).fork()).ldelim();if(null!=e.valueInfo&&e.valueInfo.length)for(n=0;n<e.valueInfo.length;++n)l.onnx.ValueInfoProto.encode(e.valueInfo[n],t.uint32(106).fork()).ldelim();if(null!=e.quantizationAnnotation&&e.quantizationAnnotation.length)for(n=0;n<e.quantizationAnnotation.length;++n)l.onnx.TensorAnnotation.encode(e.quantizationAnnotation[n],t.uint32(114).fork()).ldelim();if(null!=e.sparseInitializer&&e.sparseInitializer.length)for(n=0;n<e.sparseInitializer.length;++n)l.onnx.SparseTensorProto.encode(e.sparseInitializer[n],t.uint32(122).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.GraphProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push(l.onnx.NodeProto.decode(e,e.uint32()));break;case 2:r.name=e.string();break;case 5:r.initializer&&r.initializer.length||(r.initializer=[]),r.initializer.push(l.onnx.TensorProto.decode(e,e.uint32()));break;case 15:r.sparseInitializer&&r.sparseInitializer.length||(r.sparseInitializer=[]),r.sparseInitializer.push(l.onnx.SparseTensorProto.decode(e,e.uint32()));break;case 10:r.docString=e.string();break;case 11:r.input&&r.input.length||(r.input=[]),r.input.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 12:r.output&&r.output.length||(r.output=[]),r.output.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 13:r.valueInfo&&r.valueInfo.length||(r.valueInfo=[]),r.valueInfo.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 14:r.quantizationAnnotation&&r.quantizationAnnotation.length||(r.quantizationAnnotation=[]),r.quantizationAnnotation.push(l.onnx.TensorAnnotation.decode(e,e.uint32()));break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.node&&e.hasOwnProperty("node")){if(!Array.isArray(e.node))return"node: array expected";for(var t=0;t<e.node.length;++t)if(n=l.onnx.NodeProto.verify(e.node[t]))return"node."+n}if(null!=e.name&&e.hasOwnProperty("name")&&!u.isString(e.name))return"name: string expected";if(null!=e.initializer&&e.hasOwnProperty("initializer")){if(!Array.isArray(e.initializer))return"initializer: array expected";for(t=0;t<e.initializer.length;++t)if(n=l.onnx.TensorProto.verify(e.initializer[t]))return"initializer."+n}if(null!=e.sparseInitializer&&e.hasOwnProperty("sparseInitializer")){if(!Array.isArray(e.sparseInitializer))return"sparseInitializer: array expected";for(t=0;t<e.sparseInitializer.length;++t)if(n=l.onnx.SparseTensorProto.verify(e.sparseInitializer[t]))return"sparseInitializer."+n}if(null!=e.docString&&e.hasOwnProperty("docString")&&!u.isString(e.docString))return"docString: string expected";if(null!=e.input&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(t=0;t<e.input.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.input[t]))return"input."+n}if(null!=e.output&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(t=0;t<e.output.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.output[t]))return"output."+n}if(null!=e.valueInfo&&e.hasOwnProperty("valueInfo")){if(!Array.isArray(e.valueInfo))return"valueInfo: array expected";for(t=0;t<e.valueInfo.length;++t)if(n=l.onnx.ValueInfoProto.verify(e.valueInfo[t]))return"valueInfo."+n}if(null!=e.quantizationAnnotation&&e.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(e.quantizationAnnotation))return"quantizationAnnotation: array expected";for(t=0;t<e.quantizationAnnotation.length;++t){var n;if(n=l.onnx.TensorAnnotation.verify(e.quantizationAnnotation[t]))return"quantizationAnnotation."+n}}return null},e.fromObject=function(e){if(e instanceof l.onnx.GraphProto)return e;var t=new l.onnx.GraphProto;if(e.node){if(!Array.isArray(e.node))throw TypeError(".onnx.GraphProto.node: array expected");t.node=[];for(var n=0;n<e.node.length;++n){if("object"!=typeof e.node[n])throw TypeError(".onnx.GraphProto.node: object expected");t.node[n]=l.onnx.NodeProto.fromObject(e.node[n])}}if(null!=e.name&&(t.name=String(e.name)),e.initializer){if(!Array.isArray(e.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");for(t.initializer=[],n=0;n<e.initializer.length;++n){if("object"!=typeof e.initializer[n])throw TypeError(".onnx.GraphProto.initializer: object expected");t.initializer[n]=l.onnx.TensorProto.fromObject(e.initializer[n])}}if(e.sparseInitializer){if(!Array.isArray(e.sparseInitializer))throw TypeError(".onnx.GraphProto.sparseInitializer: array expected");for(t.sparseInitializer=[],n=0;n<e.sparseInitializer.length;++n){if("object"!=typeof e.sparseInitializer[n])throw TypeError(".onnx.GraphProto.sparseInitializer: object expected");t.sparseInitializer[n]=l.onnx.SparseTensorProto.fromObject(e.sparseInitializer[n])}}if(null!=e.docString&&(t.docString=String(e.docString)),e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.GraphProto.input: array expected");for(t.input=[],n=0;n<e.input.length;++n){if("object"!=typeof e.input[n])throw TypeError(".onnx.GraphProto.input: object expected");t.input[n]=l.onnx.ValueInfoProto.fromObject(e.input[n])}}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.GraphProto.output: array expected");for(t.output=[],n=0;n<e.output.length;++n){if("object"!=typeof e.output[n])throw TypeError(".onnx.GraphProto.output: object expected");t.output[n]=l.onnx.ValueInfoProto.fromObject(e.output[n])}}if(e.valueInfo){if(!Array.isArray(e.valueInfo))throw TypeError(".onnx.GraphProto.valueInfo: array expected");for(t.valueInfo=[],n=0;n<e.valueInfo.length;++n){if("object"!=typeof e.valueInfo[n])throw TypeError(".onnx.GraphProto.valueInfo: object expected");t.valueInfo[n]=l.onnx.ValueInfoProto.fromObject(e.valueInfo[n])}}if(e.quantizationAnnotation){if(!Array.isArray(e.quantizationAnnotation))throw TypeError(".onnx.GraphProto.quantizationAnnotation: array expected");for(t.quantizationAnnotation=[],n=0;n<e.quantizationAnnotation.length;++n){if("object"!=typeof e.quantizationAnnotation[n])throw TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");t.quantizationAnnotation[n]=l.onnx.TensorAnnotation.fromObject(e.quantizationAnnotation[n])}}return t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[],n.sparseInitializer=[]),t.defaults&&(n.name="",n.docString=""),e.node&&e.node.length){n.node=[];for(var r=0;r<e.node.length;++r)n.node[r]=l.onnx.NodeProto.toObject(e.node[r],t)}if(null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),e.initializer&&e.initializer.length)for(n.initializer=[],r=0;r<e.initializer.length;++r)n.initializer[r]=l.onnx.TensorProto.toObject(e.initializer[r],t);if(null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),e.input&&e.input.length)for(n.input=[],r=0;r<e.input.length;++r)n.input[r]=l.onnx.ValueInfoProto.toObject(e.input[r],t);if(e.output&&e.output.length)for(n.output=[],r=0;r<e.output.length;++r)n.output[r]=l.onnx.ValueInfoProto.toObject(e.output[r],t);if(e.valueInfo&&e.valueInfo.length)for(n.valueInfo=[],r=0;r<e.valueInfo.length;++r)n.valueInfo[r]=l.onnx.ValueInfoProto.toObject(e.valueInfo[r],t);if(e.quantizationAnnotation&&e.quantizationAnnotation.length)for(n.quantizationAnnotation=[],r=0;r<e.quantizationAnnotation.length;++r)n.quantizationAnnotation[r]=l.onnx.TensorAnnotation.toObject(e.quantizationAnnotation[r],t);if(e.sparseInitializer&&e.sparseInitializer.length)for(n.sparseInitializer=[],r=0;r<e.sparseInitializer.length;++r)n.sparseInitializer[r]=l.onnx.SparseTensorProto.toObject(e.sparseInitializer[r],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.GraphProto"},e}(),o.TensorProto=function(){function e(e){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.dims=u.emptyArray,e.prototype.dataType=0,e.prototype.segment=null,e.prototype.floatData=u.emptyArray,e.prototype.int32Data=u.emptyArray,e.prototype.stringData=u.emptyArray,e.prototype.int64Data=u.emptyArray,e.prototype.name="",e.prototype.docString="",e.prototype.rawData=u.newBuffer([]),e.prototype.externalData=u.emptyArray,e.prototype.dataLocation=0,e.prototype.doubleData=u.emptyArray,e.prototype.uint64Data=u.emptyArray,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=s.create()),null!=e.dims&&e.dims.length){t.uint32(10).fork();for(var n=0;n<e.dims.length;++n)t.int64(e.dims[n]);t.ldelim()}if(null!=e.dataType&&Object.hasOwnProperty.call(e,"dataType")&&t.uint32(16).int32(e.dataType),null!=e.segment&&Object.hasOwnProperty.call(e,"segment")&&l.onnx.TensorProto.Segment.encode(e.segment,t.uint32(26).fork()).ldelim(),null!=e.floatData&&e.floatData.length){for(t.uint32(34).fork(),n=0;n<e.floatData.length;++n)t.float(e.floatData[n]);t.ldelim()}if(null!=e.int32Data&&e.int32Data.length){for(t.uint32(42).fork(),n=0;n<e.int32Data.length;++n)t.int32(e.int32Data[n]);t.ldelim()}if(null!=e.stringData&&e.stringData.length)for(n=0;n<e.stringData.length;++n)t.uint32(50).bytes(e.stringData[n]);if(null!=e.int64Data&&e.int64Data.length){for(t.uint32(58).fork(),n=0;n<e.int64Data.length;++n)t.int64(e.int64Data[n]);t.ldelim()}if(null!=e.name&&Object.hasOwnProperty.call(e,"name")&&t.uint32(66).string(e.name),null!=e.rawData&&Object.hasOwnProperty.call(e,"rawData")&&t.uint32(74).bytes(e.rawData),null!=e.doubleData&&e.doubleData.length){for(t.uint32(82).fork(),n=0;n<e.doubleData.length;++n)t.double(e.doubleData[n]);t.ldelim()}if(null!=e.uint64Data&&e.uint64Data.length){for(t.uint32(90).fork(),n=0;n<e.uint64Data.length;++n)t.uint64(e.uint64Data[n]);t.ldelim()}if(null!=e.docString&&Object.hasOwnProperty.call(e,"docString")&&t.uint32(98).string(e.docString),null!=e.externalData&&e.externalData.length)for(n=0;n<e.externalData.length;++n)l.onnx.StringStringEntryProto.encode(e.externalData[n],t.uint32(106).fork()).ldelim();return null!=e.dataLocation&&Object.hasOwnProperty.call(e,"dataLocation")&&t.uint32(112).int32(e.dataLocation),t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.TensorProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:if(r.dims&&r.dims.length||(r.dims=[]),2==(7&o))for(var i=e.uint32()+e.pos;e.pos<i;)r.dims.push(e.int64());else r.dims.push(e.int64());break;case 2:r.dataType=e.int32();break;case 3:r.segment=l.onnx.TensorProto.Segment.decode(e,e.uint32());break;case 4:if(r.floatData&&r.floatData.length||(r.floatData=[]),2==(7&o))for(i=e.uint32()+e.pos;e.pos<i;)r.floatData.push(e.float());else r.floatData.push(e.float());break;case 5:if(r.int32Data&&r.int32Data.length||(r.int32Data=[]),2==(7&o))for(i=e.uint32()+e.pos;e.pos<i;)r.int32Data.push(e.int32());else r.int32Data.push(e.int32());break;case 6:r.stringData&&r.stringData.length||(r.stringData=[]),r.stringData.push(e.bytes());break;case 7:if(r.int64Data&&r.int64Data.length||(r.int64Data=[]),2==(7&o))for(i=e.uint32()+e.pos;e.pos<i;)r.int64Data.push(e.int64());else r.int64Data.push(e.int64());break;case 8:r.name=e.string();break;case 12:r.docString=e.string();break;case 9:r.rawData=e.bytes();break;case 13:r.externalData&&r.externalData.length||(r.externalData=[]),r.externalData.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;case 14:r.dataLocation=e.int32();break;case 10:if(r.doubleData&&r.doubleData.length||(r.doubleData=[]),2==(7&o))for(i=e.uint32()+e.pos;e.pos<i;)r.doubleData.push(e.double());else r.doubleData.push(e.double());break;case 11:if(r.uint64Data&&r.uint64Data.length||(r.uint64Data=[]),2==(7&o))for(i=e.uint32()+e.pos;e.pos<i;)r.uint64Data.push(e.uint64());else r.uint64Data.push(e.uint64());break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.dims&&e.hasOwnProperty("dims")){if(!Array.isArray(e.dims))return"dims: array expected";for(var t=0;t<e.dims.length;++t)if(!(u.isInteger(e.dims[t])||e.dims[t]&&u.isInteger(e.dims[t].low)&&u.isInteger(e.dims[t].high)))return"dims: integer|Long[] expected"}if(null!=e.dataType&&e.hasOwnProperty("dataType")&&!u.isInteger(e.dataType))return"dataType: integer expected";if(null!=e.segment&&e.hasOwnProperty("segment")&&(n=l.onnx.TensorProto.Segment.verify(e.segment)))return"segment."+n;if(null!=e.floatData&&e.hasOwnProperty("floatData")){if(!Array.isArray(e.floatData))return"floatData: array expected";for(t=0;t<e.floatData.length;++t)if("number"!=typeof e.floatData[t])return"floatData: number[] expected"}if(null!=e.int32Data&&e.hasOwnProperty("int32Data")){if(!Array.isArray(e.int32Data))return"int32Data: array expected";for(t=0;t<e.int32Data.length;++t)if(!u.isInteger(e.int32Data[t]))return"int32Data: integer[] expected"}if(null!=e.stringData&&e.hasOwnProperty("stringData")){if(!Array.isArray(e.stringData))return"stringData: array expected";for(t=0;t<e.stringData.length;++t)if(!(e.stringData[t]&&"number"==typeof e.stringData[t].length||u.isString(e.stringData[t])))return"stringData: buffer[] expected"}if(null!=e.int64Data&&e.hasOwnProperty("int64Data")){if(!Array.isArray(e.int64Data))return"int64Data: array expected";for(t=0;t<e.int64Data.length;++t)if(!(u.isInteger(e.int64Data[t])||e.int64Data[t]&&u.isInteger(e.int64Data[t].low)&&u.isInteger(e.int64Data[t].high)))return"int64Data: integer|Long[] expected"}if(null!=e.name&&e.hasOwnProperty("name")&&!u.isString(e.name))return"name: string expected";if(null!=e.docString&&e.hasOwnProperty("docString")&&!u.isString(e.docString))return"docString: string expected";if(null!=e.rawData&&e.hasOwnProperty("rawData")&&!(e.rawData&&"number"==typeof e.rawData.length||u.isString(e.rawData)))return"rawData: buffer expected";if(null!=e.externalData&&e.hasOwnProperty("externalData")){if(!Array.isArray(e.externalData))return"externalData: array expected";for(t=0;t<e.externalData.length;++t){var n;if(n=l.onnx.StringStringEntryProto.verify(e.externalData[t]))return"externalData."+n}}if(null!=e.dataLocation&&e.hasOwnProperty("dataLocation"))switch(e.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:}if(null!=e.doubleData&&e.hasOwnProperty("doubleData")){if(!Array.isArray(e.doubleData))return"doubleData: array expected";for(t=0;t<e.doubleData.length;++t)if("number"!=typeof e.doubleData[t])return"doubleData: number[] expected"}if(null!=e.uint64Data&&e.hasOwnProperty("uint64Data")){if(!Array.isArray(e.uint64Data))return"uint64Data: array expected";for(t=0;t<e.uint64Data.length;++t)if(!(u.isInteger(e.uint64Data[t])||e.uint64Data[t]&&u.isInteger(e.uint64Data[t].low)&&u.isInteger(e.uint64Data[t].high)))return"uint64Data: integer|Long[] expected"}return null},e.fromObject=function(e){if(e instanceof l.onnx.TensorProto)return e;var t=new l.onnx.TensorProto;if(e.dims){if(!Array.isArray(e.dims))throw TypeError(".onnx.TensorProto.dims: array expected");t.dims=[];for(var n=0;n<e.dims.length;++n)u.Long?(t.dims[n]=u.Long.fromValue(e.dims[n])).unsigned=!1:"string"==typeof e.dims[n]?t.dims[n]=parseInt(e.dims[n],10):"number"==typeof e.dims[n]?t.dims[n]=e.dims[n]:"object"==typeof e.dims[n]&&(t.dims[n]=new u.LongBits(e.dims[n].low>>>0,e.dims[n].high>>>0).toNumber())}if(null!=e.dataType&&(t.dataType=0|e.dataType),null!=e.segment){if("object"!=typeof e.segment)throw TypeError(".onnx.TensorProto.segment: object expected");t.segment=l.onnx.TensorProto.Segment.fromObject(e.segment)}if(e.floatData){if(!Array.isArray(e.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");for(t.floatData=[],n=0;n<e.floatData.length;++n)t.floatData[n]=Number(e.floatData[n])}if(e.int32Data){if(!Array.isArray(e.int32Data))throw TypeError(".onnx.TensorProto.int32Data: array expected");for(t.int32Data=[],n=0;n<e.int32Data.length;++n)t.int32Data[n]=0|e.int32Data[n]}if(e.stringData){if(!Array.isArray(e.stringData))throw TypeError(".onnx.TensorProto.stringData: array expected");for(t.stringData=[],n=0;n<e.stringData.length;++n)"string"==typeof e.stringData[n]?u.base64.decode(e.stringData[n],t.stringData[n]=u.newBuffer(u.base64.length(e.stringData[n])),0):e.stringData[n].length>=0&&(t.stringData[n]=e.stringData[n])}if(e.int64Data){if(!Array.isArray(e.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");for(t.int64Data=[],n=0;n<e.int64Data.length;++n)u.Long?(t.int64Data[n]=u.Long.fromValue(e.int64Data[n])).unsigned=!1:"string"==typeof e.int64Data[n]?t.int64Data[n]=parseInt(e.int64Data[n],10):"number"==typeof e.int64Data[n]?t.int64Data[n]=e.int64Data[n]:"object"==typeof e.int64Data[n]&&(t.int64Data[n]=new u.LongBits(e.int64Data[n].low>>>0,e.int64Data[n].high>>>0).toNumber())}if(null!=e.name&&(t.name=String(e.name)),null!=e.docString&&(t.docString=String(e.docString)),null!=e.rawData&&("string"==typeof e.rawData?u.base64.decode(e.rawData,t.rawData=u.newBuffer(u.base64.length(e.rawData)),0):e.rawData.length>=0&&(t.rawData=e.rawData)),e.externalData){if(!Array.isArray(e.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(t.externalData=[],n=0;n<e.externalData.length;++n){if("object"!=typeof e.externalData[n])throw TypeError(".onnx.TensorProto.externalData: object expected");t.externalData[n]=l.onnx.StringStringEntryProto.fromObject(e.externalData[n])}}switch(e.dataLocation){default:if("number"==typeof e.dataLocation){t.dataLocation=e.dataLocation;break}break;case"DEFAULT":case 0:t.dataLocation=0;break;case"EXTERNAL":case 1:t.dataLocation=1}if(e.doubleData){if(!Array.isArray(e.doubleData))throw TypeError(".onnx.TensorProto.doubleData: array expected");for(t.doubleData=[],n=0;n<e.doubleData.length;++n)t.doubleData[n]=Number(e.doubleData[n])}if(e.uint64Data){if(!Array.isArray(e.uint64Data))throw TypeError(".onnx.TensorProto.uint64Data: array expected");for(t.uint64Data=[],n=0;n<e.uint64Data.length;++n)u.Long?(t.uint64Data[n]=u.Long.fromValue(e.uint64Data[n])).unsigned=!0:"string"==typeof e.uint64Data[n]?t.uint64Data[n]=parseInt(e.uint64Data[n],10):"number"==typeof e.uint64Data[n]?t.uint64Data[n]=e.uint64Data[n]:"object"==typeof e.uint64Data[n]&&(t.uint64Data[n]=new u.LongBits(e.uint64Data[n].low>>>0,e.uint64Data[n].high>>>0).toNumber(!0))}return t},e.toObject=function(e,t){t||(t={});var 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t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.dim=[]),e.dim&&e.dim.length){n.dim=[];for(var r=0;r<e.dim.length;++r)n.dim[r]=l.onnx.TensorShapeProto.Dimension.toObject(e.dim[r],t)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.TensorShapeProto"},e.Dimension=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}var t;return e.prototype.dimValue=null,e.prototype.dimParam=null,e.prototype.denotation="",Object.defineProperty(e.prototype,"value",{get:u.oneOfGetter(t=["dimValue","dimParam"]),set:u.oneOfSetter(t)}),e.create=function(t){return new e(t)},e.encode=function(e,t){return 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t={};if(null!=e.dimValue&&e.hasOwnProperty("dimValue")&&(t.value=1,!(u.isInteger(e.dimValue)||e.dimValue&&u.isInteger(e.dimValue.low)&&u.isInteger(e.dimValue.high))))return"dimValue: integer|Long expected";if(null!=e.dimParam&&e.hasOwnProperty("dimParam")){if(1===t.value)return"value: multiple values";if(t.value=1,!u.isString(e.dimParam))return"dimParam: string expected"}return null!=e.denotation&&e.hasOwnProperty("denotation")&&!u.isString(e.denotation)?"denotation: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.TensorShapeProto.Dimension)return e;var t=new l.onnx.TensorShapeProto.Dimension;return null!=e.dimValue&&(u.Long?(t.dimValue=u.Long.fromValue(e.dimValue)).unsigned=!1:"string"==typeof e.dimValue?t.dimValue=parseInt(e.dimValue,10):"number"==typeof e.dimValue?t.dimValue=e.dimValue:"object"==typeof e.dimValue&&(t.dimValue=new 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null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),null!=e.version&&e.hasOwnProperty("version")&&("number"==typeof e.version?n.version=t.longs===String?String(e.version):e.version:n.version=t.longs===String?u.Long.prototype.toString.call(e.version):t.longs===Number?new u.LongBits(e.version.low>>>0,e.version.high>>>0).toNumber():e.version),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.OperatorSetIdProto"},e}(),o.OperatorStatus=function(){var e={},t=Object.create(e);return t[e[0]="EXPERIMENTAL"]=0,t[e[1]="STABLE"]=1,t}(),o.FunctionProto=function(){function e(e){if(this.input=[],this.output=[],this.attribute=[],this.attributeProto=[],this.node=[],this.opsetImport=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return 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n=0;n<e.input.length;++n)t.uint32(34).string(e.input[n]);if(null!=e.output&&e.output.length)for(n=0;n<e.output.length;++n)t.uint32(42).string(e.output[n]);if(null!=e.attribute&&e.attribute.length)for(n=0;n<e.attribute.length;++n)t.uint32(50).string(e.attribute[n]);if(null!=e.node&&e.node.length)for(n=0;n<e.node.length;++n)l.onnx.NodeProto.encode(e.node[n],t.uint32(58).fork()).ldelim();if(null!=e.docString&&Object.hasOwnProperty.call(e,"docString")&&t.uint32(66).string(e.docString),null!=e.opsetImport&&e.opsetImport.length)for(n=0;n<e.opsetImport.length;++n)l.onnx.OperatorSetIdProto.encode(e.opsetImport[n],t.uint32(74).fork()).ldelim();if(null!=e.domain&&Object.hasOwnProperty.call(e,"domain")&&t.uint32(82).string(e.domain),null!=e.attributeProto&&e.attributeProto.length)for(n=0;n<e.attributeProto.length;++n)l.onnx.AttributeProto.encode(e.attributeProto[n],t.uint32(90).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof a||(e=a.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new l.onnx.FunctionProto;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.name=e.string();break;case 4:r.input&&r.input.length||(r.input=[]),r.input.push(e.string());break;case 5:r.output&&r.output.length||(r.output=[]),r.output.push(e.string());break;case 6:r.attribute&&r.attribute.length||(r.attribute=[]),r.attribute.push(e.string());break;case 11:r.attributeProto&&r.attributeProto.length||(r.attributeProto=[]),r.attributeProto.push(l.onnx.AttributeProto.decode(e,e.uint32()));break;case 7:r.node&&r.node.length||(r.node=[]),r.node.push(l.onnx.NodeProto.decode(e,e.uint32()));break;case 8:r.docString=e.string();break;case 9:r.opsetImport&&r.opsetImport.length||(r.opsetImport=[]),r.opsetImport.push(l.onnx.OperatorSetIdProto.decode(e,e.uint32()));break;case 10:r.domain=e.string();break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof a||(e=new a(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.name&&e.hasOwnProperty("name")&&!u.isString(e.name))return"name: string expected";if(null!=e.input&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(var t=0;t<e.input.length;++t)if(!u.isString(e.input[t]))return"input: string[] expected"}if(null!=e.output&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(t=0;t<e.output.length;++t)if(!u.isString(e.output[t]))return"output: string[] expected"}if(null!=e.attribute&&e.hasOwnProperty("attribute")){if(!Array.isArray(e.attribute))return"attribute: array expected";for(t=0;t<e.attribute.length;++t)if(!u.isString(e.attribute[t]))return"attribute: string[] expected"}if(null!=e.attributeProto&&e.hasOwnProperty("attributeProto")){if(!Array.isArray(e.attributeProto))return"attributeProto: array expected";for(t=0;t<e.attributeProto.length;++t)if(n=l.onnx.AttributeProto.verify(e.attributeProto[t]))return"attributeProto."+n}if(null!=e.node&&e.hasOwnProperty("node")){if(!Array.isArray(e.node))return"node: array expected";for(t=0;t<e.node.length;++t)if(n=l.onnx.NodeProto.verify(e.node[t]))return"node."+n}if(null!=e.docString&&e.hasOwnProperty("docString")&&!u.isString(e.docString))return"docString: string expected";if(null!=e.opsetImport&&e.hasOwnProperty("opsetImport")){if(!Array.isArray(e.opsetImport))return"opsetImport: array expected";for(t=0;t<e.opsetImport.length;++t){var n;if(n=l.onnx.OperatorSetIdProto.verify(e.opsetImport[t]))return"opsetImport."+n}}return null!=e.domain&&e.hasOwnProperty("domain")&&!u.isString(e.domain)?"domain: string expected":null},e.fromObject=function(e){if(e instanceof l.onnx.FunctionProto)return e;var t=new l.onnx.FunctionProto;if(null!=e.name&&(t.name=String(e.name)),e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.FunctionProto.input: array expected");t.input=[];for(var n=0;n<e.input.length;++n)t.input[n]=String(e.input[n])}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.FunctionProto.output: array expected");for(t.output=[],n=0;n<e.output.length;++n)t.output[n]=String(e.output[n])}if(e.attribute){if(!Array.isArray(e.attribute))throw TypeError(".onnx.FunctionProto.attribute: array expected");for(t.attribute=[],n=0;n<e.attribute.length;++n)t.attribute[n]=String(e.attribute[n])}if(e.attributeProto){if(!Array.isArray(e.attributeProto))throw TypeError(".onnx.FunctionProto.attributeProto: array expected");for(t.attributeProto=[],n=0;n<e.attributeProto.length;++n){if("object"!=typeof e.attributeProto[n])throw TypeError(".onnx.FunctionProto.attributeProto: object expected");t.attributeProto[n]=l.onnx.AttributeProto.fromObject(e.attributeProto[n])}}if(e.node){if(!Array.isArray(e.node))throw TypeError(".onnx.FunctionProto.node: array expected");for(t.node=[],n=0;n<e.node.length;++n){if("object"!=typeof e.node[n])throw TypeError(".onnx.FunctionProto.node: object expected");t.node[n]=l.onnx.NodeProto.fromObject(e.node[n])}}if(null!=e.docString&&(t.docString=String(e.docString)),e.opsetImport){if(!Array.isArray(e.opsetImport))throw TypeError(".onnx.FunctionProto.opsetImport: array expected");for(t.opsetImport=[],n=0;n<e.opsetImport.length;++n){if("object"!=typeof e.opsetImport[n])throw TypeError(".onnx.FunctionProto.opsetImport: object expected");t.opsetImport[n]=l.onnx.OperatorSetIdProto.fromObject(e.opsetImport[n])}}return null!=e.domain&&(t.domain=String(e.domain)),t},e.toObject=function(e,t){t||(t={});var n={};if((t.arrays||t.defaults)&&(n.input=[],n.output=[],n.attribute=[],n.node=[],n.opsetImport=[],n.attributeProto=[]),t.defaults&&(n.name="",n.docString="",n.domain=""),null!=e.name&&e.hasOwnProperty("name")&&(n.name=e.name),e.input&&e.input.length){n.input=[];for(var r=0;r<e.input.length;++r)n.input[r]=e.input[r]}if(e.output&&e.output.length)for(n.output=[],r=0;r<e.output.length;++r)n.output[r]=e.output[r];if(e.attribute&&e.attribute.length)for(n.attribute=[],r=0;r<e.attribute.length;++r)n.attribute[r]=e.attribute[r];if(e.node&&e.node.length)for(n.node=[],r=0;r<e.node.length;++r)n.node[r]=l.onnx.NodeProto.toObject(e.node[r],t);if(null!=e.docString&&e.hasOwnProperty("docString")&&(n.docString=e.docString),e.opsetImport&&e.opsetImport.length)for(n.opsetImport=[],r=0;r<e.opsetImport.length;++r)n.opsetImport[r]=l.onnx.OperatorSetIdProto.toObject(e.opsetImport[r],t);if(null!=e.domain&&e.hasOwnProperty("domain")&&(n.domain=e.domain),e.attributeProto&&e.attributeProto.length)for(n.attributeProto=[],r=0;r<e.attributeProto.length;++r)n.attributeProto[r]=l.onnx.AttributeProto.toObject(e.attributeProto[r],t);return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,i.util.toJSONOptions)},e.getTypeUrl=function(e){return void 0===e&&(e="type.googleapis.com"),e+"/onnx.FunctionProto"},e}(),o),t.exports=l}));function Cr(e,t){if(!e)throw new Error("string"==typeof t?t:t())}function sn(e){return(new TextDecoder).decode(e)}var ye,pr,mi,Xe,Xn,Ve,nt,U,an,dr,hr,mr,fe=L((()=>{Wn(),ti(),ye=Er($r()),br(),pr=class{static arraysEqual(e,t){if(e.length!==t.length)return!1;for(let n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}},mi=class{static preprocessInputShapes(e,t){return[1===e.length?[1,e[0]]:e,1===t.length?[t[0],1]:t]}static postprocessOutputShape(e,t,n){1===t&&e.splice(e.length-2,1),1===n&&e.pop()}static calcMatMulShape(e,t){return e[1]!==t[0]?void 0:[e[0],t[1]]}},Xe=class e{static calcShape(e,t,n=!1){let r=e.length,o=t.length;if(0===r)return t;if(0===o)return e;let i=Math.max(e.length,t.length),a=new Array(i);if(n){if(r<2||o<2)return;let n=mi.calcMatMulShape([e[r-2],e[r-1]],[t[o-2],t[o-1]]);if(void 0===n)return;[a[i-2],a[i-1]]=n}for(let s=n?3:1;s<=i;s++){let 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n=e.length,r=[];for(let o=0;o<n;o++){let i=n-1-o,a=e[i]||1;(t[t.length-1-o]||1)>1&&1===a&&r.unshift(i)}return r}},Xn=class{static getShapeOfGemmResult(e,t,n,r,o){if(2!==e.length||2!==n.length)throw new Error("shape need to be of size 2");let i,a,s;t?(i=e[1],a=e[0]):(i=e[0],a=e[1]);let u=-1;if(r?(s=n[0],u=1):(s=n[1],u=0),n[u]!==a)throw new Error("dimension mismatch");if(i<=0||s<=0||a<=0)throw new Error("invalid shape specified");if(o&&!Xe.isValidBroadcast(o,[i,s]))throw new Error("gemm: invalid bias shape for broadcast");return[i,s,a]}},Ve=class e{static tensorDataTypeFromProto(e){switch(e){case ye.onnx.TensorProto.DataType.INT8:return"int8";case ye.onnx.TensorProto.DataType.UINT8:return"uint8";case ye.onnx.TensorProto.DataType.BOOL:return"bool";case ye.onnx.TensorProto.DataType.INT16:return"int16";case ye.onnx.TensorProto.DataType.UINT16:return"uint16";case ye.onnx.TensorProto.DataType.INT32:return"int32";case ye.onnx.TensorProto.DataType.UINT32:return"uint32";case ye.onnx.TensorProto.DataType.FLOAT:return"float32";case ye.onnx.TensorProto.DataType.DOUBLE:return"float64";case ye.onnx.TensorProto.DataType.STRING:return"string";case ye.onnx.TensorProto.DataType.INT64:return"int32";case ye.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${ye.onnx.TensorProto.DataType[e]}`)}}static tensorDataTypeStringToEnum(e){switch(e){case"int8":return ye.onnx.TensorProto.DataType.INT8;case"uint8":return ye.onnx.TensorProto.DataType.UINT8;case"bool":return ye.onnx.TensorProto.DataType.BOOL;case"int16":return ye.onnx.TensorProto.DataType.INT16;case"uint16":return ye.onnx.TensorProto.DataType.UINT16;case"int32":return ye.onnx.TensorProto.DataType.INT32;case"uint32":return ye.onnx.TensorProto.DataType.UINT32;case"float32":return ye.onnx.TensorProto.DataType.FLOAT;case"float64":return ye.onnx.TensorProto.DataType.DOUBLE;case"string":return ye.onnx.TensorProto.DataType.STRING;case"int64":return ye.onnx.TensorProto.DataType.INT64;case"uint64":return ye.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${e}`)}}static tensorDimsFromProto(e){return e.map((e=>zt.isLong(e)?e.toNumber():e))}static tensorValueTypeFromProto(t){return{tensorType:e.tensorDataTypeFromProto(t.elemType),shape:{dims:e.tensorDimsFromProto(t.shape.dim.map((e=>e.dimValue)))}}}static tensorDimsFromORTFormat(e){let t=[];for(let n=0;n<e.dimsLength();n++)t.push(nt.longToNumber(e.dims(n)));return t}static tensorAttributesFromORTFormat(e){let t=[];for(let n=0;n<e.attributesLength();n++)t.push(e.attributes(n));return t}},nt=class{static longToNumber(e,t){return zt.isLong(e)?e.toNumber():e instanceof _.Long?zt.fromValue({low:e.low,high:e.high,unsigned:t??!1}).toNumber():e}static isLong(e){return zt.isLong(e)||e instanceof _.Long}},U=class e{static size(t){return e.getSizeFromDimensionRange(t,0,t.length)}static sizeFromDimension(t,n){if(n<0||n>t.length)throw new Error(`invalid dimension 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Most likely the range contains 0 or negative values in them.");r*=e[o]}return r}static computeStrides(e){let t=e.length;if(0===t)return[];if(1===t)return[1];let n=new Array(t);n[t-1]=1,n[t-2]=e[t-1];for(let r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}static transpose(e){return e.slice().reverse()}static indicesToOffset(e,t,n){void 0===n&&(n=e.length);let r=0;for(let o=0;o<n;++o)r+=t[o]*e[o];return r}static offsetToIndices(e,t){let n=t.length;if(0===n)return[];if(1===n)return[e*t[0]];let r=new Array(t.length);for(let n=0;n<r.length-1;++n)r[n]=Math.floor(e/t[n]),e-=r[n]*t[n];return r[r.length-1]=e,r}static normalizeAxis(e,t){if(e<-t&&e>=t)throw new Error("unsupported axis for this operation.");return e<0?e+t:e}static normalizeAxes(e,t){return e.map((e=>this.normalizeAxis(e,t)))}static incrementIndex(e,t,n){if(0===t.length||0===e.length)throw new Error("Index incrementing unsupported for scalar Tensor");if(void 0===n)n=t.length;else if(n<=0||n>t.length)throw new Error("Incorrect axis to increment on");for(let r=n-1;r>=0&&(e[r]++,!(e[r]<t[r]));--r)e[r]=0}static calculateReshapedDims(t,n){if(0===n.length){if(0===t.length||1===e.size(t))return[];throw new Error("cannot reshape to a scalar Tensor")}let r=n.length,o=new Array(r),i=-1,a=1;for(let e=0;e<r;e++){if(n[e]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(-1===n[e]){if(-1!==i)throw new Error("at most one dimension in shape hints can be -1");i=e}else{if(0===n[e]){if(e>=t.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");o[e]=t[e]}else o[e]=n[e];a*=o[e]}}let s=e.size(t);if(-1!==i){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(e,t){return t?t.map((t=>e[t])):e.slice().reverse()}static padShape(e,t){let n=e.length;return e.map(((e,r)=>e+t[r]+t[r+n]))}static areEqual(e,t){return e.length===t.length&&e.every(((e,n)=>e===t[n]))}static validateDimsAndCalcSize(e){if(e.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let t=1;for(let n of e){if(!Number.isInteger(n))throw new TypeError(`Invalid shape: ${n} is not an integer`);if(n<0||n>2147483647)throw new TypeError(`Invalid shape: length ${n} is not allowed`);t*=n}return t}static flattenShape(e,t){t<0&&(t+=e.length);let n=e.reduce(((e,t)=>e*t),1),r=e.slice(t).reduce(((e,t)=>e*t),1);return[n/r,r]}static squeezeShape(t,n){let r=new Array;n=e.normalizeAxes(n,t.length);for(let e=0;e<t.length;e++){let o=n.indexOf(e)>=0;if(o&&1!==t[e])throw new Error("squeeze an axis of size different than 1");(0===n.length&&t[e]>1||n.length>0&&!o)&&r.push(t[e])}return r}static unsqueezeShape(t,n){let r=new Array(t.length+n.length);r.fill(0);for(let t=0;t<n.length;t++){let o=e.normalizeAxis(n[t],r.length);if(o>=r.length)throw new Error("'axes' has an out of range axis");if(0!==r[o])throw new Error("'axes' has a duplicate axis");r[o]=1}let o=0;for(let e=0;e<r.length;e++)0===r[e]&&(r[e]=t[o++]);if(o!==t.length)throw new Error("the unsqueezed dimension could not be established");return r}},an=class e{static splitShape(t,n,r,o){if(0===r.length){if(!o)throw new Error("need to know number of outputs when the 'split' attribute is not specified");e.determineSplit(t[n],o,r)}let i=[],a=[0];for(let e=0;e<r.length;++e){0!==e&&a.push(a[e-1]+r[e-1]);let o=t.slice();o[n]=r[e],i.push(o)}return[i,a]}static determineSplit(e,t,n){if(e%t!=0)throw new Error("cannot split tensor to equal sized parts");for(let r=0;r<t;++r)n.push(e/t)}},dr=class e{static adjustPoolAttributes(e,t,n,r,o,i){if(!e&&n.length!==t.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let e=0;e<t.length-2;e++)e>=n.length?n.push(t[e+2]):n[e]=t[e+2];for(let e=0;e<n.length;e++)if(e<r.length){if(r[e]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let e=0;e<n.length;e++)if(e<o.length){if(o[e]<0)throw new Error("dilations should be greater than or equal to 1")}else o.push(1);for(let e=0;e<2*n.length;e++)if(e<i.length){if(i[e]<0)throw new Error("pad should be greater than or equal to 1")}else i.push(0);for(let e=0;e<n.length;e++){if(n[e]<=0)throw new Error("kernel shapes need to be greater than 0");if(i[e]>=n[e]||i[e+n.length]>=n[e])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(t,n,r,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 dimensions");if(n.length!==t.length-2)throw new Error("length of strides should be the length of data dimensions");if(o.length!==t.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let s=0;s<t.length-2;s++)e.adjustPadAndReturnShape(t[s+2],n[s],r[s],o[s],i,s,s+t.length-2,a)}}static computePoolOutputShape(t,n,r,o,i,a,s){if(n.length<=0)throw new Error("input shape must be of size greater than 0");let u=[n[0],n[1]];return e.computeShapeHelper(t,n,u,r,o,i,a,s),u}static computeConvOutputShape(t,n,r,o,i,a,s){if(t.length<=0||n.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let u=[t[0],n[0]];return e.computeShapeHelper(!1,t,u,r,o,i,a,s),u}static computeShapeHelper(t,n,r,o,i,a,s,u){if(t)for(let e=0;e<n.length-2;e++)r.push(1);else for(let t=0;t<n.length-2;t++)r.push(e.adjustPadAndReturnShape(n[t+2],o[t],i[t],a[t],s,t,t+n.length-2,u))}static adjustPadAndReturnShape(e,t,n,r,o,i,a,s){let 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Xh(){return ht("sqrt")}function Kh(){return ht("tan")}function Jh(){let e="tanh";return{body:`\n  float ${e}_(float a) {\n    a = clamp(a, -10., 10.);\n    a = exp(2.*a);\n    return (a - 1.) / (a + 1.);\n  }\n  vec4 ${e}_(vec4 v) {\n    v = clamp(v, -10., 10.);\n    v = exp(2.*v);\n    return (v - 1.) / (v + 1.);\n  }\n  `,name:e,type:0}}function ht(e){return{body:`\n  float ${e}_(float a) {\n    return ${e}(a);\n  }\n  vec4 ${e}_(vec4 v) {\n    return ${e}(v);\n  }\n  `,name:e,type:0}}var Zh,Pe,Pl,El,Dl,Ll,Si,Fl,$l,Qh,Cl,kl,Bl,Nl,Rl,Ml,Ai,Gl,Ul,zl,Vl,Wl,Hl,ql,jl,Yl,Xl,Kl,Pi=L((()=>{Ge(),fe(),Vt(),xe(),ae(),Zh=(e,t,n,r)=>{let o=e.session.pack?2:0,i=q(e.session.backend.glContext.version);return{...t,output:{dims:n.dims,type:n.type,textureType:o},shaderSource:`\n     ${r.body}\n     void main() {\n       vec4 v = ${i.texture2D}(A, TexCoords);\n       v = ${r.name}_(v);\n       ${i.output} = v;\n     }\n     `,hasMain:!0}},Pe=(e,t,n,r)=>{let 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i="",a=n.length,s=r.length,u=s-a;i=s<2&&a>0?"coords":n.map(((e,n)=>`coords.${t[n+u]}`)).join(", ");let l=Xe.getBroadcastDims(n,r).map((e=>`coords.${t[e+u]} = 0;`)).join("\n"),c="vec4(outputValue.xx, outputValue.yy)";return 1===U.size(n)&&(c="vec4(outputValue.x)"),o?`\nvec4 getBiasForMatmul() {\n  ${e} coords = getOutputCoords();\n  ${l}\n  vec4 outputValue = getBias(${i});\n  return ${c};\n}`:`\nfloat getBiasForMatmul() {\n  ${e} coords = getOutputCoords();\n  ${l}\n  return getBias(coords.x);\n}`}var tf,rf,im,sm,oo=L((()=>{fe(),ae(),Ft(),yr(),Li(),tf=(e,t,n)=>(sm(t),e.session.pack?[e.run(io(e,t,n),t)]:[e.run(Ei(t,n),t)]),rf=e=>Rr(e.attributes),im=(e,t)=>({name:"MatMul",inputNames:e?["A","B","Bias"]:["A","B"],inputTypes:e?[0,0,0]:[0,0],cacheHint:t}),sm=e=>{if(!e||2!==e.length)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not 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${y}\n            void main() {\n              ${l?"":`${g} rc =\n          getOutputCoords(); int lastDim = rc.${b[m-1]}; rc.${b[m-1]} =\n          rc.${b[m-2]}; rc.${b[m-2]} = lastDim;\n      `}\n\n              vec4 value = vec4(0);\n              for (int i = 0; i < ${p}; i++) {\n                vec4 a = ${x};\n                vec4 b = ${T};\n\n                value += (a.rrbb * b.rgrg);\n                value += (a.ggaa * b.baba);\n              }\n              ${i}\n              ${w}\n              ${h.output} = value;\n            }`;return{...t,output:{dims:u,type:n[0].type,textureType:2},shaderSource:O,hasMain:!0}},io=(e,t,n)=>{let r=um(t.length>2,n.activationCacheKey);return{...r,get:()=>lm(e,r,t,n)}}})),nf,of=L((()=>{no(),ef(),Li(),nf=(e,t,n)=>{let r=t[0].dims,o=t[1].dims,i=Mr(r,o,n.dilations,n.pads,n.strides),a=e.run(Ql(e,t[0],t[1],i,n),[t[0]]),s=e.reshapePacked(t[1],[o[0],o[1]*o[2]*o[3]]),u=3===t.length?[s,a,t[2]]:[s,a],l=e.run(io(e,u,n),u);return e.reshapePacked(l,i)}})),dm,hm,af,Fi,$i=L((()=>{ae(),dm=e=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:e}),hm=(e,t,n,r,o,i)=>{let a=n.dims,s=r.dims,u=o.length,l=Fi(a,s,o,4),c=`\n        const int XC = ${a[1]};\n        const int XH = ${a[2]};\n        const int XW = ${a[3]};\n        const int KH = ${i.kernelShape[0]};\n        const int KW = ${i.kernelShape[1]};\n        const int dilationH = ${i.dilations[0]};\n        const int dilationW = ${i.dilations[1]};\n        const int strideH = ${i.strides[0]};\n        const int strideW = ${i.strides[1]};\n        const int padH = ${i.pads[0]};\n        const int padW = ${i.pads[1]};\n        const int KHKW = KH*KW;\n        const int XCKHKW = XC * KHKW;\n        const int outputChannels = 4;\n        vec4 process(int indices[${u}]) {\n          int b  = indices[0]; // batch size\n          int oh = indices[1] * strideH - padH; //output height\n          int ow = indices[2] * strideW - padW; //output width\n          int p = indices[3] * outputChannels; //patch\n          vec4 value = vec4(0.0);\n          for(int i=0; i < outputChannels; ++i) {\n            if(p < XCKHKW) {\n              int patchC = p / KHKW;\n              int patchH = (p - patchC*KHKW) / KW;\n              int patchW = (p - patchC*KHKW) - patchH * KW;\n              int xh2 = oh + patchH * dilationH;\n              int xw2 = ow + patchW * dilationW;\n              int x[${a.length}];\n              x[0] = b;\n              x[1] = patchC;\n              x[2] = xh2;\n              x[3] = xw2;\n              if(xh2 >= 0 &&\n                  xh2 < XH &&\n                  xw2 >= 0 &&\n                  xw2 < XW) {\n                value[i] = _X(x);\n              }\n            }\n            ++p;\n          }\n          return value;\n        }\n        `;return{...t,output:{dims:l,type:n.type,textureType:4},shaderSource:c}},af=(e,t,n,r,o)=>{let i=dm(o.cacheKey);return{...i,get:()=>hm(e,i,t,n,r,o)}},Fi=(e,t,n,r=4)=>[n[0],n[2],n[3],Math.ceil(e[1]*t[2]*t[3]/r)]})),mm,bm,sf,uf=L((()=>{fe(),xe(),ae(),yr(),$i(),mm=(e,t)=>({name:"ConvDotProduct",inputNames:e?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:e?[0,4,0]:[0,4],cacheKey:t.activationCacheKey}),bm=(e,t,n,r,o)=>{let i=n[0].dims,a=n[1].dims,s=[a[0],Math.ceil(i[1]*a[2]*a[3]/4)],u=Fi(i,a,r),[l,c]=e.calculateTextureWidthAndHeight(s,4),p=U.computeStrides(u),[d,f]=e.calculateTextureWidthAndHeight(u,4),h=r.length,g=n.length<3?"0.0":"_B(b)",m=Math.ceil(i[1]*a[2]*a[3]/4),{activationFunction:b,applyActivation:y}=Ct(o),w=q(e.session.backend.glContext.version),_=`\n${b}\nfloat process(int indices[${h}]) {\n  int b[1];\n  b[0] = indices[1];\n  int im2col[4];\n  im2col[0] = indices[0];\n  im2col[1] = indices[2];\n  im2col[2] = indices[3];\n  int im2colOffset = im2col[0] * ${p[0]} + im2col[1] * ${p[1]} + im2col[2] * ${p[2]};\n  int kernelOffset = indices[1] * ${s[1]};\n  float value = ${g};\n  for (int i = 0; i < ${m}; ++i) {\n    vec2 im2colCoords = offsetToCoords(im2colOffset, ${d}, ${f});\n    vec2 kernelCoords = offsetToCoords(kernelOffset, ${l}, ${c});\n    value += dot(${w.texture2D}(Im2Col, im2colCoords), ${w.texture2D}(K, kernelCoords));\n    ++im2colOffset;\n    ++kernelOffset;\n  }\n  ${y}\n  return value;\n}`;return{...t,output:{dims:r,type:n[0].type,textureType:0},shaderSource:_}},sf=(e,t,n,r)=>{let o=mm(t.length>2,r);return{...o,get:()=>bm(e,o,t,n,r)}}})),Mr,Ci,gm,ym,Tm,xm,ki,vm,no=L((()=>{Ge(),fe(),Zl(),of(),uf(),yr(),$i(),oo(),Mr=(e,t,n,r,o)=>{let i=e[0],a=e.slice(2),s=a.length,u=t[0],l=t.slice(2).map(((e,t)=>e+(e-1)*(n[t]-1))),c=a.map(((e,t)=>e+r[t]+r[t+s])).map(((e,t)=>Math.floor((e-l[t]+o[t])/o[t])));return[i,u].concat(...c)},Ci=(e,t,n)=>(vm(t,n),gm(e,t,n)),gm=(e,t,n)=>{let r=xm(n,t),o=e.session.pack,i=1===r.kernelShape[0]&&1===r.kernelShape[1];return r.group>1?[e.run(Jl(e,t,r),t)]:i&&o?[ym(e,t,r)]:o&&4===t[0].dims.length&&1===t[0].dims[0]&&!i?[nf(e,t,r)]:[Tm(e,t,r)]},ym=(e,t,n)=>{let r=t[0].dims,o=t[1].dims,i=Mr(r,o,n.dilations,n.pads,n.strides),a=e.reshapeUnpacked(t[0],[r[1],r[2]*r[3]]),s=e.reshapeUnpacked(t[1],[o[0],o[1]]),u=t.length>2?[s,a,t[2]]:[s,a],l=e.run(Ei(u,n),u);return e.reshapeUnpacked(l,i)},Tm=(e,t,n)=>{let r=t[0].dims,o=t[1].dims,i=Mr(r,o,n.dilations,n.pads,n.strides),a=e.run(af(e,t[0],t[1],i,n),[t[0]]),s=3===t.length?[a,t[1],t[2]]:[a,t[1]];return e.run(sf(e,t,i,n),s)},xm=(e,t)=>{let n=e.kernelShape.slice();if(0===e.kernelShape.length)for(let e=2;e<t[1].dims.length;++e)n.push(t[1].dims[e]);let r=e.pads.slice();dr.adjustPadsBasedOnAutoPad(t[0].dims,e.strides,e.dilations,n,r,e.autoPad);let o=Object.assign({},e);return Object.assign(o,{kernelShape:n,pads:r,cacheKey:e.cacheKey}),o},ki=e=>{let t=e.attributes,n=Rr(t),r=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 ee({autoPad:r,dilations:o,group:i,kernelShape:a,pads:s,strides:u,...n})},vm=(e,t)=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==e[0].dims.length||4!==e[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(e[0].dims[1]!==e[1].dims[1]*t.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(3===e.length&&(1!==e[2].dims.length||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");let n=e[0].dims.length-2;if(t.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(t.strides.length!==n)throw new Error(`strides should be ${n}D`);if(t.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==t.kernelShape.length&&t.kernelShape.length!==e[1].dims.length-2)throw new 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o=t.length>2?"getB(output_channel)":"0.0",i=t[0].dims,a=t[1].dims,s=a[1],u=a[0]/r.group,l=[t[0].dims[0],t[1].dims[1]*r.group,...r.outputShape],c=q(e.session.backend.glContext.version),{activationFunction:p,applyActivation:d}=Ct(r),f=`\n  const ivec2 strides = ivec2(${r.strides[0]}, ${r.strides[1]});\n  const ivec2 pads = ivec2(${r.pads[0]}, ${r.pads[1]});\n  ${p}\n  void main() {\n    ivec4 coords = getOutputCoords();\n    int batch = coords.x;\n    int output_channel = coords.y;\n\n    ivec2 loc = coords.zw + pads;\n\n    int group_id = output_channel / ${s};\n    int wOutChannel = output_channel - group_id * ${s};\n\n    float value = ${o};\n    for (int inChannelOffset = 0; inChannelOffset < ${u}; inChannelOffset++) {\n      int input_channel = group_id * ${u} + inChannelOffset;\n      for (int wWOff = 0; wWOff < ${a[2]}; wWOff++) {\n        for (int wHOff = 0; wHOff < ${a[3]}; wHOff++) {\n          ivec2 wOff = ivec2(wWOff * ${r.dilations[0]}, wHOff * ${r.dilations[1]});\n          ivec2 wLoc = loc - wOff;\n          ivec2 wLocIn = wLoc / strides;\n          if (\n            wLocIn * strides == wLoc &&\n            wLocIn.x >= 0 && wLocIn.x < ${i[2]} &&\n            wLocIn.y >= 0 && wLocIn.y < ${i[3]}\n          ) {\n            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);\n            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);\n            value += xVal * wVal;\n          }\n        }\n      }\n    }\n    ${d}\n    ${c.output} = vec4(value, .0, .0, .0);\n  }\n`;return{...n,output:{dims:l,type:t[0].type,textureType:0},shaderSource:f,hasMain:!0}},Pm=(e,t,n)=>{let r=Sm(t.length>2,n.cacheKey);return{...r,get:()=>Am(e,t,r,n)}},Em=(e,t,n)=>e.run(Pm(e,t,n),t),Dm=(e,t)=>{let n=e.kernelShape.slice();if(0===e.kernelShape.length)for(let e=2;e<t[1].dims.length;++e)n.push(t[1].dims[e]);let r=e.pads.slice(),o=e.outputShape.slice(),i=t[0].dims;Om(i,n,e.dilations,e.autoPad,r,e.strides,e.outputPadding,o);let a=Object.assign({},e);return Object.assign(a,{kernelShape:n,pads:r,outputShape:o,cacheKey:e.cacheKey}),a},ff=e=>{let t=e.attributes,n=Rr(t),r=t.getString("auto_pad","NOTSET"),o=t.getInts("dilations",[1,1]),i=t.getInt("group",1),a=t.getInts("kernel_shape",[]),s=t.getInts("output_padding",[0,0]),u=t.getInts("output_shape",[]),l=t.getInts("pads",[0,0,0,0]),c=t.getInts("strides",[1,1]);return ee({autoPad:r,dilations:o,group:i,kernelShape:a,outputPadding:s,outputShape:u,pads:l,strides:c,...n})},Lm=(e,t)=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==e[0].dims.length||4!==e[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(e[0].dims[1]!==e[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let n=e[1].dims[1]*t.group;if(3===e.length&&(1!==e[2].dims.length||e[2].dims[0]!==n))throw new Error("invalid bias");let r=e[0].dims.length-2;if(t.dilations.length!==r)throw new Error(`dilations should be 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float process(int indices[${c}]) {\n          int a[${c}];\n          int b[${c}];\n          ${3===t.length?`int c[${t[2].dims.length}];`:""}\n\n          copyVec(indices, a);\n          copyVec(indices, b);\n          ${3===t.length?"bcastIndices_C(indices, c);":""}\n\n          float value = 0.0;\n          for (int k=0; k<${u}; ++k) {\n              a[${c-1}] = k;\n              b[${c-2}] = k;\n              ${l}\n          }\n\n          value = value * alpha;\n          ${3===t.length?"value += beta * _C(c);":""}\n          return value;\n      }`;return{...e,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:p}},Wm=(e,t)=>{if(!e)throw new Error("Input is missing");if(t.isOptionalC&&(e.length<2||e.length>3))throw new Error("Invaid input shape.");if(!t.isOptionalC&&3!==e.length)throw new Error("Gemm requires 3 inputs");if(3===e.length&&1!==e[2].dims.length&&2!==e[2].dims.length)throw new Error("Invalid input shape of C");if("float32"!==e[0].type&&"float64"!==e[0].type||"float32"!==e[1].type&&"float64"!==e[1].type||3===e.length&&"float32"!==e[2].type&&"float64"!==e[2].type)throw new Error("Invalid input type.");if(e[0].type!==e[1].type||3===e.length&&e[0].type!==e[2].type)throw new Error("Input types are mismatched")}})),Pf,Ef,Hm,qm,jm,Ym,Xm,Df=L((()=>{Ge(),ae(),Pf=(e,t,n)=>(Xm(t),[e.run(jm(e,t,n),t)]),Ef=e=>{let t=e.attributes.getFloat("scale"),n=e.attributes.getFloats("bias");return ee({scale:t,bias:n})},Hm={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},qm=(e,t,n,r)=>{let o=n[0].dims.slice(),i=o.length,a=`\n      ${Ym(r.bias.length)}\n      float process(int indices[${i}]) {\n        return _X(indices) * scale + getBias(bias, indices[1]);\n      }`;return{...t,output:{dims:o,type:n[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:r.bias.length,data:r.bias},{name:"scale",type:"float",data:r.scale}],shaderSource:a}},jm=(e,t,n)=>{let r={...Hm,cacheHint:n.cacheKey};return{...r,get:()=>qm(e,r,t,n)}},Ym=e=>{let t=[`float getBias(float bias[${e}], int channel) {`];for(let n=0;n<e;++n)0===n?t.push(`\tif (channel == ${n}) { return bias[${n}]; }`):n===e-1?t.push(`\telse { return bias[${n}]; }`):t.push(`\telse if (channel == ${n}) { return bias[${n}]; }`);return t.push("\t}"),t.join("\n")},Xm=e=>{if(!e||1!==e.length)throw new Error("ImageScaler requires 1 input.");if(4!==e[0].dims.length)throw new Error("Invalid input shape.");if("float32"!==e[0].type&&"float64"!==e[0].type)throw new Error("Invalid input type.")}})),Ff,$f,Lf,Km,Jm,Zm,Qm,eb,tb,Cf=L((()=>{xe(),ae(),Ff=(e,t,n)=>{tb(t);let r=e.run(Jm(t[0]),t);return[e.run(eb(e,t[0],n,r.dims),[t[0],r,t[1],t[2]])]},$f=e=>e.attributes.getFloat("epsilon",1e-5),Lf={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},Km=(e,t)=>{let n=t.dims.slice(),r=n[1],o=n[2]*n[3],i=[n[0],r],a=`\n      vec4 process(int[2] indices) {\n        vec4 v = vec4(0.0);\n        int a[4];\n        a[0] = indices[0];\n        a[1] = indices[1];\n        float temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += x;\n          }\n        }\n        float mean = temp / float(${o});\n        temp = 0.0;\n        for(int a2=0; a2<${n[2]}; a2++) {\n          a[2] = a2;\n          for(int a3=0; a3<${n[3]}; a3++) {\n            a[3] = a3;\n            float x = _X(a);\n            temp += (x - mean) * (x - mean);\n          }\n        }\n        v.r = mean;\n        v.g = temp / float(${o});\n\n        return v;\n      }`;return{...e,output:{dims:i,type:t.type,textureType:4},shaderSource:a}},Jm=e=>({...Lf,get:()=>Km(Lf,e)}),Zm={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},Qm=(e,t,n,r,o)=>{let i=q(e.session.backend.glContext.version),[a,s]=e.calculateTextureWidthAndHeight(o,4),[u,l]=[a/4,s],c=`\n      vec4 get_MeanAndVariance(int[2] mv) {\n        int offset = indicesToOffset_MeanAndVariance(mv);\n        vec2 coords = offsetToCoords(offset, ${u}, ${l});\n        return ${i.texture2D}(MeanAndVariance, coords);\n      }\n\n      float process(int[4] indices) {\n        int mv[2];\n        mv[0] = indices[0];\n        mv[1] = indices[1];\n        vec4 mean_and_variance = get_MeanAndVariance(mv);\n        float mean = mean_and_variance.r;\n        float variance = mean_and_variance.g;\n\n        int sb[1];\n        sb[0] = indices[1];\n        float scale = _Scale(sb);\n        float b = _B(sb);\n\n        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;\n      }`;return{...t,output:{dims:n.dims,type:n.type,textureType:0},variables:[{name:"epsilon",type:"float",data:r}],shaderSource:c}},eb=(e,t,n,r)=>{let o={...Zm,cacheHint:`${n}`};return{...o,get:()=>Qm(e,o,t,n,r)}},tb=e=>{if(!e||3!==e.length)throw new Error("InstanceNormalization requires 3 inputs.");let t=e[0],n=e[1],r=e[2];if(t.dims.length<3||1!==n.dims.length||1!==r.dims.length)throw new Error("Invalid input shape.");if(n.dims[0]!==t.dims[1]||r.dims[0]!==t.dims[1])throw new Error("Input shapes are mismatched.");if("float32"!==t.type&&"float64"!==t.type||"float32"!==n.type&&"float64"!==n.type||"float32"!==r.type&&"float64"!==r.type)throw new Error("Invalid input type.");if(4!==e[0].dims.length)throw new Error("Only support 4-D input shape.")}}));function rb(e,t){let n=e[0].dims[1],r=e[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=`\n    float process(int indices[${r}]) {\n        int c = indices[1];\n        float x = _X(indices);\n        float square_sum = 0.0;\n\n        for (int i = ${o}; i <= ${i}; i++) {\n          int idx = c + i;\n          if (c >= 0 && c < ${n}) {\n            indices[1] = idx;\n            float j = _X(indices);\n            square_sum += j * j;\n          }\n        }\n        return x / pow(${`float(${t.bias})`} + ${a} * square_sum, ${`float(${t.beta})`});\n    }`;return{...Nf,cacheHint:t.cacheKey,output:{dims:e[0].dims,type:e[0].type,textureType:0},shaderSource:s}}function nb(e,t){return{...Nf,cacheHint:t.cacheKey,get:()=>rb(e,t)}}var kf,Bf,Nf,ob,Rf=L((()=>{Ge(),ae(),kf=(e,t,n)=>(ob(t),[e.run(nb(t,n),t)]),Bf=e=>{let t=e.attributes.getFloat("alpha",1e-4),n=e.attributes.getFloat("beta",.75),r=e.attributes.getFloat("bias",1),o=e.attributes.getInt("size");return ee({alpha:t,beta:n,bias:r,size:o})},Nf={name:"LRN",inputNames:["X"],inputTypes:[0]},ob=e=>{if(!e||1!==e.length)throw new Error("LRN requires 1 input.");if(4!==e[0].dims.length)throw new Error('currently only support LRN for input with "NCHW" format');if("float32"!==e[0].type)throw new Error("input should be float type")}})),ib,Ni,Mf,Gf,Uf,ab,sb,ub,lb,fb,cb,pb,db,zf=L((()=>{Ge(),fe(),xe(),ae(),ib={name:"Pad",inputNames:["A"],inputTypes:[0]},Ni=(e,t,n)=>(ub(t),[e.run({...ib,cacheHint:n.cacheKey,get:()=>sb(e,t[0],n)},t)]),Mf=e=>{let t=e.attributes.getString("mode","constant"),n=e.attributes.getFloat("value",0),r=e.attributes.getInts("pads");return ee({mode:t,value:n,pads:r})},Gf=(e,t,n)=>{lb(t);let r=ab(e,t,n);return Ni(e,[t[0]],r)},Uf=e=>e.attributes.getString("mode","constant"),ab=(e,t,n)=>{if(!e.session.isInitializer(t[1].dataId)||t.length>=3&&!e.session.isInitializer(t[2].dataId))throw new Error("dynamic pad attributes are not allowed");let r=Array.from(t[1].integerData),o=t.length>=3?t[2].floatData[0]:0;return ee({mode:n,pads:r,value:o})},sb=(e,t,n)=>{let r=U.padShape(t.dims.slice(),n.pads),o=r.length,i=`\n      ${fb(e,t,n)}\n      float process(int[${o}] indices) {\n          return padA(indices);\n      }`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:r,type:t.type,textureType:0},shaderSource:i}},ub=e=>{if(!e||1!==e.length)throw new Error("Pad requires 1 input");if("float32"!==e[0].type&&"float64"!==e[0].type)throw new Error("Invalid input type.")},lb=e=>{if(!e||2!==e.length&&3!==e.length)throw new Error("Pad requires 2 or 3 inputs");if("int32"!==e[1].type)throw new Error("Invalid input type.");if(e.length>=3&&"string"===e[2].type)throw new Error("Invalid input type.")},fb=(e,t,n)=>{let r=q(e.session.backend.glContext.version),[o,i]=e.calculateTextureWidthAndHeight(t.dims,0),a=U.computeStrides(t.dims);switch(n.mode){case"constant":return cb(r,t.dims,a,o,i,n.pads,n.value);case"reflect":return pb(r,t.dims,a,o,i,n.pads);case"edge":return db(r,t.dims,a,o,i,n.pads);default:throw new Error("Invalid mode")}},cb=(e,t,n,r,o,i,a)=>{let s=t.length,u="";for(let e=s-1;e>=0;--e)u+=`\n        k = m[${e}] - ${i[e]};\n        if (k < 0)  return constant;\n        if (k >= ${t[e]}) return constant;\n        offset += k * ${n[e]};\n        `;return`\n      float padA(int m[${s}]) {\n        const float constant = float(${a});\n        int offset = 0;\n        int k = 0;\n        ${u}\n        vec2 coords = offsetToCoords(offset, ${r}, ${o});\n        float value = getColorAsFloat(${e.texture2D}(A, coords));\n        return value;\n      }\n      `},pb=(e,t,n,r,o,i)=>{let a=t.length,s="";for(let e=a-1;e>=0;--e)s+=`\n        k = m[${e}] - ${i[e]};\n        if (k < 0) { k = -k; }\n        {\n          const int _2n_1 = ${2*(t[e]-1)};\n          k = int( mod( float(k), float(_2n_1) ) ) ;\n          if(k >= ${t[e]}) { k = _2n_1 - k; }\n        }\n        offset += k * ${n[e]};\n        `;return`\n      float padA(int m[${a}]) {\n        int offset = 0;\n        int k = 0;\n        ${s}\n        vec2 coords = offsetToCoords(offset, ${r}, ${o});\n        float value = getColorAsFloat(${e.texture2D}(A, coords));\n        return value;\n      }\n      `},db=(e,t,n,r,o,i)=>{let a=t.length,s="";for(let e=a-1;e>=0;--e)s+=`\n        k = m[${e}] - ${i[e]};\n        if (k < 0)  k = 0;\n        if (k >= ${t[e]}) k = ${t[e]-1};\n        offset += k * ${n[e]};\n      `;return`\n      float padA(int m[${a}]) {\n        int offset = 0;\n        int k = 0;\n        ${s}\n        vec2 coords = offsetToCoords(offset, ${r}, ${o});\n        float value = getColorAsFloat(${e.texture2D}(A, coords));\n        return value;\n      }\n      `}})),Wf,Hf,qf,jf,Yf,Xf,Kf,Jf,Zf,hb,Vf,Qf,uo,ec,so,mb,tc=L((()=>{Ge(),fe(),ae(),Wf=(e,t,n)=>{uo(t);let r={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:n.cacheKey};return[e.run({...r,get:()=>qf(t,r,!1,n)},t)]},Hf=e=>{let t=e.attributes.getString("auto_pad","NOTSET"),n=e.attributes.getInt("ceil_mode",0),r=0!==e.attributes.getInt("count_include_pad",0),o=e.attributes.getInts("kernel_shape"),i=e.attributes.getInts("strides",[]),a=e.attributes.getInts("pads",[]);if(0!==n)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return ee({autoPad:t,ceilMode:n,countIncludePad:r,kernelShape:o,strides:i,pads:a})},qf=(e,t,n,r)=>{let[o,i]=Zf(e,r,n),a=U.size(o.kernelShape),s="";o.countIncludePad?s+=`value /= float(${a});`:s+=`value /= float(${a} - pad);`;let u=`\n        ${ec(e[0].dims,o,"value += _X(x);",s,"0.0")}\n      `;return{...t,output:{dims:i,type:e[0].type,textureType:0},shaderSource:u}},jf=(e,t,n)=>{uo(t);let r={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${n.countIncludePad}`};return[e.run({...r,get:()=>qf(t,r,!0,n)},t)]},Yf=e=>{let t=0!==e.attributes.getInt("count_include_pad",0);return ee({autoPad:"",ceilMode:0,countIncludePad:t,kernelShape:[],strides:[],pads:[]})},Xf=(e,t,n)=>{uo(t);let r={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:n.cacheKey};return[e.run({...r,get:()=>Jf(t,r,!1,n)},t)]},Kf=e=>{let t=e.attributes.getString("auto_pad","NOTSET"),n=e.attributes.getInt("ceil_mode",0),r=e.attributes.getInts("kernel_shape"),o=e.attributes.getInts("strides",[]),i=e.attributes.getInts("pads",[]),a=e.attributes.getInt("storage_order",0),s=e.attributes.getInts("dilations",[]);if(0!==a)throw new Error("column major storage order is not yet supported for MaxPool");if(0!==n)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return ee({autoPad:t,ceilMode:n,countIncludePad:!1,kernelShape:r,strides:o,pads:i,storageOrder:a,dilations:s})},Jf=(e,t,n,r)=>{let[o,i]=Zf(e,r,n),a=`\n      ${ec(e[0].dims,o,"\n      value = max(_X(x), value);\n    ","","-1e5")}\n    `;return{...t,output:{dims:i,type:e[0].type,textureType:0},shaderSource:a}},Zf=(e,t,n)=>{let r=e[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();dr.adjustPoolAttributes(n,r,i,a,s,u);let l=dr.computePoolOutputShape(n,r,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]},hb={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},Vf={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},Qf=(e,t)=>(uo(t),[e.run({...Vf,get:()=>Jf(t,Vf,!0,hb)},t)]),uo=e=>{if(!e||1!==e.length)throw new Error("Pool ops requires 1 input.");if("float32"!==e[0].type&&"float64"!==e[0].type)throw new Error("Invalid input type.")},ec=(e,t,n,r,o)=>{let i=e.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=e[i-1],p="",d="",f="";if(p=u+l!==0?`\n          for (int i = 0; i < ${a}; i++) {\n            x[${i} - 1] = indices[${i} - 1] * ${s} - ${u} + i;\n            if (x[${i} - 1] < 0 || x[${i} - 1] >= ${c}) {\n              pad++;\n              continue;\n            }\n            ${n}\n          }`:`\n          for (int i = 0; i < ${a}; i++) {\n            x[${i} - 1] = indices[${i} - 1] * ${s} - ${u} + i;\n            ${n}\n          }`,2===t.kernelShape.length){let n=t.kernelShape[t.kernelShape.length-2],r=t.strides[t.strides.length-2],o=t.pads[t.pads.length/2-2],s=t.pads[t.pads.length-2],u=e[i-2];d=o+s!==0?`\n            for (int j = 0; j < ${n}; j++) {\n              x[${i} - 2] = indices[${i} - 2] * ${r} - ${o} + j;\n              if (x[${i} - 2] < 0 || x[${i} - 2] >= ${u}) {\n                pad+= ${a};\n                continue;\n              }\n          `:`\n            for (int j = 0; j < ${n}; j++) {\n              x[${i} - 2] = indices[${i} - 2] * ${r} - ${o} + j;\n            `,f="\n          }\n        "}return`\n        float process(int indices[${i}]) {\n          int x[${i}];\n          copyVec(indices, x);\n\n          float value = ${o};\n          int pad = 0;\n          ${d}\n          ${p}\n          ${f}\n          ${r}\n          return value;\n        }\n      `}{let a=U.size(t.kernelShape),s=U.computeStrides(t.kernelShape),u=s.length,l=t.pads.length,c=mb(u),p=so(e,"inputDims"),d=so(t.pads,"pads"),f=so(s,"kernelStrides"),h=so(t.strides,"strides"),g="";return g=t.pads.reduce(((e,t)=>e+t))?`\n            if (x[j] >= inputDims[j] || x[j] < 0) {\n              pad++;\n              isPad = true;\n              break;\n            }\n          }\n          if (!isPad) {\n            ${n}\n          }`:`\n          }\n          ${n}\n        `,`\n        ${c}\n        float process(int indices[${i}]) {\n          int x[${i}];\n          copyVec(indices, x);\n          int offset[${u}];\n          int pads[${l}];\n          int inputDims[${i}];\n          int kernelStrides[${u}];\n          int strides[${u}];\n          ${d}\n          ${p}\n          ${h}\n          ${f}\n\n          float value = ${o};\n          int pad = 0;\n          bool isPad = false;\n          for (int i = 0; i < ${a}; i++) {\n            offsetToIndices(i, kernelStrides, offset);\n            isPad = false;\n            for (int j = ${i} - ${u}; j < ${i}; j++) {\n              x[j] = indices[j] * strides[j - ${i} + ${u}]\n                + offset[j - ${i} + ${u}] - pads[j - 2];\n              ${g}\n          }\n          ${r}\n\n          return value;\n        }\n      `}},so=(e,t)=>{let n="";for(let r=0;r<e.length;r++)n+=`\n      ${t}[${r}] = ${e[r]};\n    `;return n},mb=e=>`\n  void offsetToIndices(int offset, int[${e}] strides, out int[${e}] indices) {\n    if (${e} == 0) {\n      return;\n    }\n    for (int i = 0; i < ${e} - 1; ++i) {\n      indices[i] = offset / strides[i];\n      offset -= indices[i] * strides[i];\n    }\n    indices[${e} - 1] = offset;\n  }`})),xr,rr,bb,gb,rc,nc,oc,ic,ac,sc,uc,lc=L((()=>{Ge(),pn(),fe(),ae(),xr=(e,t,n,r,o)=>{gb(t);let i={name:r,inputNames:["A"],inputTypes:[0]};return[e.run({...i,cacheHint:n.cacheKey,get:()=>bb(e,t,n,r,o,i)},t)]},rr=e=>{let t=e.attributes.getInts("axes",[]),n=1===e.attributes.getInt("keepdims",1);return ee({axes:t,keepDims:n})},bb=(e,t,n,r,o,i)=>{let a=[],s=t[0].dims.length||1,u=[],l=U.normalizeAxes(n.axes,t[0].dims.length),c=o(t,l),p=c[1];for(let e=0;e<t[0].dims.length;e++)l.indexOf(e)>=0||0===l.length?(n.keepDims&&a.push(1),p=`\n          for(int j${e} = 0; j${e} < ${t[0].dims[e]}; j${e}++) {\n            inputIdx[${e}] = j${e};\n            ${p}\n          }`):(u.push(`inputIdx[${e}] = outputIdx[${a.length}];`),a.push(t[0].dims[e]));let d=`\n      float process(int outputIdx[${a.length||1}]) {\n        float value;                 // final result\n        int inputIdx[${s}];      // addressing input data\n        ${u.join("\n")}\n        ${c[0]}       // init ops for reduce max/min\n        ${p}\n        ${c[2]}       // final computation for reduce mean\n        return value;\n      }`;return{...i,output:{dims:a,type:t[0].type,textureType:0},shaderSource:d}},gb=e=>{if(!e||1!==e.length)throw new Error("Reduce op requires 1 input.");if(-1===tr.indexOf(e[0].type))throw new Error("Invalid input type.")},rc=(e,t,n)=>xr(e,t,n,"ReduceSum",(()=>["value = 0.0;","value += _A(inputIdx);",""])),nc=(e,t,n)=>xr(e,t,n,"ReduceMean",((e,t)=>{let n=1;for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&(n*=e[0].dims[r]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${n}.;`]})),oc=(e,t,n)=>xr(e,t,n,"ReduceMax",((e,t)=>{let n=[];for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]})),ic=(e,t,n)=>xr(e,t,n,"ReduceMin",((e,t)=>{let n=[];for(let r=0;r<e[0].dims.length;r++)(t.indexOf(r)>=0||0===t.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]})),ac=(e,t,n)=>xr(e,t,n,"ReduceProd",(()=>["value = 1.0;","value *= _A(inputIdx);",""])),sc=(e,t,n)=>xr(e,t,n,"ReduceLogSum",(()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"])),uc=(e,t,n)=>xr(e,t,n,"ReduceLogSumSquare",(()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""]))})),fc,cc=L((()=>{fe(),fc=(e,t)=>{let n=U.calculateReshapedDims(t[0].dims,t[1].integerData);return e.session.pack?[e.reshapePacked(t[0],n)]:[e.reshapeUnpacked(t[0],n)]}})),pc,Ri,dc,hc,dn,yb,Mi,lo,Gi=L((()=>{Ge(),xe(),ae(),pc={name:"Upsample",inputNames:["X"],inputTypes:[0]},Ri=(e,t,n)=>(Mi(t,n),[e.run({...pc,cacheHint:n.cacheKey,get:()=>yb(e,t,n)},t)]),dc=e=>dn(e,7),hc=e=>dn(e,9),dn=(e,t)=>{let n=t>=10,r=e.attributes.getString("mode","nearest");if("nearest"!==r&&"linear"!==r&&(t<11||"cubic"!==r))throw new Error(`unrecognized mode: ${r}`);let o=[];t<9&&(o=e.attributes.getFloats("scales"),lo(o,r,n));let i=e.attributes.getFloat("extrapolation_value",0),a=t>10?e.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(-1===["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(a))throw new Error(`coordinate_transform_mode '${a}' is not supported`);let s="tf_crop_and_resize"===a,u=s,l="nearest"===r&&t>=11?e.attributes.getString("nearest_mode","round_prefer_floor"):"";if(-1===["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(l))throw new Error(`nearest_mode '${l}' is not supported`);let c=e.attributes.getFloat("cubic_coeff_a",-.75),p=0!==e.attributes.getInt("exclude_outside",0);if(p&&"cubic"!==r)throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");let d=t<11||"nearest"===r&&"asymmetric"===a&&"floor"===l,f=0,h=0,g=0;return t>10?e.inputs.length>2?(f=1,h=2,g=3):(h=1,g=2):9===t&&(h=1),ee({opset:t,isResize:n,mode:r,scales:o,extrapolationValue:i,coordinateTransformMode:a,useExtrapolation:u,needRoiInput:s,nearestMode:l,cubicCoefficientA:c,excludeOutside:p,useNearest2xOptimization:d,roiInputIdx:f,scalesInputIdx:h,sizesInputIdx:g})},yb=(e,t,n)=>{let r=q(e.session.backend.glContext.version),[o,i]=e.calculateTextureWidthAndHeight(t[0].dims,0),a=t[0].dims.map(((e,t)=>Math.floor(e*n.scales[t]))),[s,u]=e.calculateTextureWidthAndHeight(a,0),l=a.length,c=new Array(l),p=new Array(l),d=`\n      int output_pitches[${l}];\n      int input_pitches[${l}];\n      `;for(let e=l-1;e>=0;e--)c[e]=e===l-1?1:c[e+1]*a[e+1],p[e]=e===l-1?1:p[e+1]*t[0].dims[e+1],d+=`\n        output_pitches[${e}] = ${c[e]};\n        input_pitches[${e}] = ${p[e]};\n        `;let f=`\n      float getInputFloat(int index) {\n        vec2 coords = offsetToCoords(index, ${o}, ${i});\n        float value = getColorAsFloat(${r.texture2D}(X, coords));\n        return value;\n      }\n      `,h="nearest"===n.mode?`\n    ${f}\n    float process(int indices[${l}]) {\n      int input_index = 0;\n      int output_index = coordsToOffset(TexCoords, ${s}, ${u});\n\n      ${d}\n\n      int d, m;\n      for (int dim = 0; dim < ${l}; ++dim) {\n        d = output_index / output_pitches[dim];\n        m = output_index - d * output_pitches[dim];\n        output_index = m;\n\n        if (scales[dim] != 1 && d > 0) {\n          int d2 = d / scales[dim];\n          m = d - d2 * scales[dim];\n          d = d2;\n        }\n        input_index += input_pitches[dim] * d;\n      }\n\n      return getInputFloat(input_index);\n    }`:4===l?`\n    ${f}\n    float process(int indices[4]) {\n      int input_index = 0;\n      int output_index = coordsToOffset(TexCoords, ${s}, ${u});\n\n      ${d}\n\n      int m;\n      int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;\n      index_of_dim0 = output_index / output_pitches[0];\n      m = output_index - index_of_dim0 * output_pitches[0];\n      index_of_dim1 = m / output_pitches[1];\n      m = m - index_of_dim1 * output_pitches[1];\n      index_of_dim2 = m / output_pitches[2];\n      m = m - index_of_dim2 * output_pitches[2];\n      index_of_dim3 = m;\n\n      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;\n      index_of_input_dim2 = index_of_dim2 / scales[2];\n      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];\n      index_of_input_dim3 = index_of_dim3 / scales[3];\n      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];\n\n      input_index = index_of_dim0 * input_pitches[0] +\n            index_of_dim1 * input_pitches[1] +\n            index_of_input_dim2 * input_pitches[2] +\n            index_of_input_dim3;\n\n      float x00 = getInputFloat(input_index);\n      float x10, x01, x11;\n\n      bool end_of_dim2 = false;\n      if (index_of_input_dim2 == (${t[0].dims[2]} - 1)) {\n        // It's the end in dimension 2\n        x01 = x00;\n        end_of_dim2 = true;\n      } else {\n        x01 = getInputFloat(input_index + input_pitches[2]);\n      }\n\n      if (index_of_input_dim3 == (input_pitches[2] - 1)) {\n        // It's the end in dimension 3\n        x10 = x00;\n        x11 = x01;\n      }\n      else {\n        x10 = getInputFloat(input_index + 1);\n        x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);\n      }\n\n      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);\n      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);\n      return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);\n    }`:`\n    ${f}\n    float process(int indices[2]) {\n      int input_index = 0;\n      int output_index = coordsToOffset(TexCoords, ${s}, ${u});\n\n      ${d}\n\n      int m;\n      int index_of_dim0, index_of_dim1;\n      index_of_dim0 = output_index / output_pitches[0];\n      m = output_index - index_of_dim0 * output_pitches[0];\n      index_of_dim1 = m;\n\n      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;\n      index_of_input_dim0 = index_of_dim0 / scales[0];\n      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];\n      index_of_input_dim1 = index_of_dim1 / scales[1];\n      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];\n\n      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;\n\n      float x00 = getInputFloat(input_index);\n      float x10, x01, x11;\n\n      bool end_of_dim0 = false;\n      if (index_of_input_dim0 == (${t[0].dims[0]} - 1)) {\n        // It's the end in dimension 0\n        x01 = x00;\n        end_of_dim0 = true;\n      } else {\n        x01 = getInputFloat(input_index + input_pitches[0]);\n      }\n\n      if (index_of_input_dim1 == (input_pitches[0] - 1)) {\n        // It's the end in dimension 1\n        x10 = x00;\n        x11 = x01;\n      }\n      else {\n        x10 = getInputFloat(input_index + 1);\n        x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);\n      }\n\n      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);\n      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);\n      return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);\n    }`;return{...pc,output:{dims:a,type:t[0].type,textureType:0},shaderSource:h,variables:[{name:"scales",type:"int",arrayLength:n.scales.length,data:n.scales.map((e=>Math.ceil(e)))}]}},Mi=(e,t)=>{if(!e||t.opset<9&&1!==e.length||t.opset>=9&&t.opset<11&&2!==e.length||t.opset>=11&&e.length<2)throw new Error("invalid inputs.");if(t.scales.length>0&&e[0].dims.length!==t.scales.length)throw new Error("Invalid input shape.");if("string"===e[0].type)throw new Error("Invalid input tensor types.")},lo=(e,t,n)=>{if(n){for(let t of e)if(t<=0)throw new Error("Scale value should be greater than 0.")}else for(let t of e)if(t<1)throw new Error("Scale value should be greater than or equal to 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s=i[a-2],u=i[a-1],l=t[0].dims;if(a!==l.length)throw new Error(`output dimension should match input ${l.length}, but got ${a}`);let c=l[a-2],p=l[a-1],d=o[a-2],f=o[a-1],h="";if("linear"!==n.mode)throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case"asymmetric":h="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return vec4(coords) / scaleWHWH;\n                    }\n                ";break;case"half_pixel":h="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;\n                    }\n                ";break;case"pytorch_half_pixel":h=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 fcoords = vec4(coords);\n                        return vec4(\n                            ${u}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,\n                            ${s}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,\n                            ${u}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,\n                            ${s}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0\n                          );\n                    }\n                `;break;case"align_corners":h=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 resized = vec4(${u}.0 - 1.0, ${s}.0 - 1.0, ${u}.0 - 1.0,\n                            ${s}.0 - 1.0);\n                        vec4 original = vec4(${p}.0 - 1.0, ${c}.0 - 1.0, ${p}.0 - 1.0,\n                            ${c}.0 - 1.0);\n                        vec4 new_scale = original / resized;\n                        return vec4(coords) * new_scale;\n                    }\n                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}let g=Ke(a),m=`\n            const vec2 inputWH = vec2(${c}.0, ${p}.0);\n            const vec4 scaleWHWH = vec4(float(${d}), float(${f}), float(${d}), float(${f}));\n            ${$t()}\n            ${h}\n            float getAValue(int x10, int r, int c, int d) {\n                return getChannel(getA(x10, r, c, d), vec2(c, d));\n            }\n            void main() {\n                ${g} rc = getOutputCoords();\n\n                int batch = rc[0];\n                int depth = rc[1];\n\n                // retrieve the 4 coordinates that is used in the 4 packed output values.\n                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);\n\n                // calculate the source index in fraction\n                vec4 sourceFrac = getSourceFracIndex(coords);\n\n                // get the lower and upper bound of the 4 values that will be packed into one texel.\n                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));\n                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));\n                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));\n                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));\n\n                bool hasNextRow = rc.w < ${s-1};\n                bool hasNextCol = rc.z < ${u-1};\n\n                // pack x00, x01, x10, x11's top-left corner into one vec4 structure\n                vec4 topLeft = vec4(\n                    getAValue(batch, depth, x00.x, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's top-right corner into one vec4 structure\n                vec4 topRight = vec4(\n                    getAValue(batch, depth, x00.x, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure\n                vec4 bottomLeft = vec4(\n                    getAValue(batch, depth, x00.z, x00.y),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);\n\n                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure\n                vec4 bottomRight = vec4(\n                    getAValue(batch, depth, x00.z, x00.w),\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);\n\n                // calculate the interpolation fraction on u and v direction\n                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);\n                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));\n\n                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);\n                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);\n                vec4 newValue = mix(top, bottom, clampFrac.xxzz);\n\n                ${r.output} = vec4(newValue);\n            }\n        `;return{...Ui,output:{dims:i,type:t[0].type,textureType:2},hasMain:!0,shaderSource:m}},xb=(e,t)=>{let n,r=e[0].dims,o=t.scales;if(0===o.length){let i=e[t.scalesInputIdx];if(i&&0!==i.size){if(e[t.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");o=vb(i,t.mode,t.isResize)}else{let i=e[t.sizesInputIdx];if(!i||0===i.size)throw new Error("Either scales or sizes MUST be provided as input.");n=Array.from(i.integerData),o=wb(n,r,t.mode,t.isResize)}}else if(e[t.sizesInputIdx])throw 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pt{constructor(e){super(e)}getFunctions(){return{...this.offsetToCoords(),...this.coordsToOffset(),...this.toVec(),...this.valueFrom(),...this.getCommonUtilFuncs(),...this.getInputsSamplingSnippets(),...this.getOutputSamplingSnippet()}}getCustomTypes(){return{}}offsetToCoords(){return{offsetToCoords:new R("\n      vec2 offsetToCoords(int offset, int width, int height) {\n        int t = offset / width;\n        int s = offset - t*width;\n        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);\n        return coords;\n      }\n      ")}}coordsToOffset(){return{coordsToOffset:new R("\n      int coordsToOffset(vec2 coords, int width, int height) {\n        float s = coords.s * float(width);\n        float t = coords.t * float(height);\n        int offset = int(t) * width + int(s);\n        return offset;\n      }\n      ")}}getOutputSamplingSnippet(){let e=this.context.outputTextureLayout;return e.isPacked?this.getPackedOutputSamplingSnippet(e):this.getUnpackedOutputSamplingSnippet(e)}getPackedOutputSamplingSnippet(e){let t=e.unpackedShape,n=[e.width,e.height],r={},o="getOutputCoords";switch(t.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputPacked1DCoords(t,n);break;case 2:r[o]=this.getOutputPacked2DCoords(t,n);break;case 3:r[o]=this.getOutputPacked3DCoords(t,n);break;default:r[o]=this.getOutputPackedNDCoords(t,n)}let i=`\n      void setOutput(vec4 val) {\n        ${q(this.context.glContext.version).output} = val;\n      }\n    `;return r.floatTextureSetRGBA=new R(i),r}getUnpackedOutputSamplingSnippet(e){let t=e.unpackedShape,n=[e.width,e.height],r={},o="getOutputCoords";switch(t.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputUnpacked1DCoords(t,n);break;case 2:r[o]=this.getOutputUnpacked2DCoords(t,n);break;case 3:r[o]=this.getOutputUnpacked3DCoords(t,n);break;case 4:r[o]=this.getOutputUnpacked4DCoords(t,n);break;case 5:r[o]=this.getOutputUnpacked5DCoords(t,n);break;case 6:r[o]=this.getOutputUnpacked6DCoords(t,n);break;default:throw new Error(`Unsupported output dimensionality: ${t.length}`)}let i=`\n        void setOutput(float val) {\n          ${q(this.context.glContext.version).output} = vec4(val, 0, 0, 0);\n        }\n    `;return r.floatTextureSetR=new R(i),r}getOutputScalarCoords(){return new R("\n      int getOutputCoords() {\n        return 0;\n      }\n    ")}getOutputPacked1DCoords(e,t){let n=t,r="";return 1===n[0]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.y * ${n[1]}.0);\n          }\n        `,new R(r)):1===n[1]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.x * ${n[0]}.0);\n          }\n        `,new R(r)):(r=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                 vec2(${n[0]}, ${n[1]}));\n          return 2 * (resTexRC.y * ${n[0]} + resTexRC.x);\n        }\n      `,new R(r))}getOutputPacked2DCoords(e,t){let n="";if(pr.arraysEqual(e,t))return n=`\n        ivec2 getOutputCoords() {\n          return 2 * ivec2(TexCoords.xy * vec2(${t[0]}, ${t[1]}));\n        }\n      `,new R(n);let r=t,o=Math.ceil(e[1]/2);return n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${r[0]}, ${r[1]}));\n\n          int index = resTexRC.y * ${r[0]} + resTexRC.x;\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${o}) * 2;\n          int c = 2 * (index / ${o});\n\n          return ivec2(r, c);\n        }\n      `,new R(n)}getOutputPacked3DCoords(e,t){let n=[t[0],t[1]],r=Math.ceil(e[2]/2),o=r*Math.ceil(e[1]/2);return new R(`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${n[0]}, ${n[1]}));\n          int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n          int b = index / ${o};\n          index -= b * ${o};\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${r}) * 2;\n          int c = 2 * (index / ${r});\n\n          return ivec3(b, r, c);\n        }\n      `)}getOutputPackedNDCoords(e,t){let n=[t[0],t[1]],r=Math.ceil(e[e.length-1]/2),o=r*Math.ceil(e[e.length-2]/2),i=o,a="",s="b, r, c";for(let t=2;t<e.length-1;t++)i*=e[e.length-t-1],a=`\n      int b${t} = index / ${i};\n      index -= b${t} * ${i};\n    `+a,s=`b${t}, `+s;let u=`\n      ivec${e.length} getOutputCoords() {\n        ivec2 resTexRC = ivec2(TexCoords.xy *\n                              vec2(${n[0]}, ${n[1]}));\n        int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n        ${a}\n\n        int b = index / ${o};\n        index -= b * ${o};\n\n        // reverse r and c order for packed texture\n        int r = imod(index, ${r}) * 2;\n        int c = 2 * (index / ${r});\n\n        return ivec${e.length}(${s});\n      }\n    `;return new R(u)}getOutputUnpacked1DCoords(e,t){let n=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          return resTexRC.y * ${t[0]} + resTexRC.x;\n        }\n      `;return new R(n)}getOutputUnpacked2DCoords(e,t){let n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          int r = index / ${e[1]};\n          int c = index - r * ${e[1]};\n          return ivec2(r, c);\n        }\n      `;return new R(n)}getOutputUnpacked3DCoords(e,t){let n="",r=e.length,o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];let i=["r","c","d"],a=o.map(((e,t)=>`${`int ${i[t]} = index / ${e}`}; ${t===o.length-1?`int ${i[t+1]} = index - ${i[t]} * ${e}`:`index -= ${i[t]} * ${e}`};`)).join("");return n=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${a}\n          return ivec3(r, c, d);\n        }\n      `,new R(n)}getOutputUnpacked4DCoords(e,t){let n="",r=e.length,o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];let i=["r","c","d","d2"],a=o.map(((e,t)=>`${`int ${i[t]} = index / ${e}`}; ${t===o.length-1?`int ${i[t+1]} = index - ${i[t]} * ${e}`:`index -= ${i[t]} * ${e}`};`)).join("");return n=`\n      ivec4 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${a}\n          return ivec4(r, c, d, d2);\n        }\n      `,new R(n)}getOutputUnpacked5DCoords(e,t){let n="",r=e.length,o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];let i=["r","c","d","d2","d3"],a=o.map(((e,t)=>`${`int ${i[t]} = index / ${e}`}; ${t===o.length-1?`int ${i[t+1]} = index - ${i[t]} * ${e}`:`index -= ${i[t]} * ${e}`};`)).join("");return n=`\n      ivec5 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${t[0]}, ${t[1]}));\n          int index = resTexRC.y * ${t[0]} + resTexRC.x;\n          ${a}\n          return ivec5(r, c, d, d2, d3);\n        }\n      `,new R(n)}getOutputUnpacked6DCoords(e,t){let n="",r=e.length,o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=e[r-1];for(let t=r-3;t>=0;--t)o[t]=o[t+1]*e[t+1];let i=["r","c","d","d2","d3","d4"],a=o.map(((e,t)=>`${`int ${i[t]} = index / ${e}`}; ${t===o.length-1?`int ${i[t+1]} = index - ${i[t]} * ${e}`:`index -= ${i[t]} * ${e}`};`)).join("");return n=`\n     ivec6 getOutputCoords() {\n         ivec2 resTexRC = ivec2(TexCoords.xy *\n                               vec2(${t[0]}, ${t[1]}));\n         int index = resTexRC.y * ${t[0]} + resTexRC.x;\n         ${a}\n         return ivec6(r, c, d, d2, d3, d4);\n       }\n     `,new R(n)}getCommonUtilFuncs(){let e={},t="uvFromFlat";e[t]=new R("\n    vec2 uvFromFlat(int texNumR, int texNumC, int index) {\n      int texC = index / texNumR;\n      int texR = index - texC * texNumR;\n      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to\n      //       v.\n      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);\n    }\n    "),t="packedUVfrom1D",e[t]=new R("\n      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n        int texelIndex = index / 2;\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="packedUVfrom2D",e[t]=new R("\n      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {\n        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="packedUVfrom3D",e[t]=new R("\n      vec2 packedUVfrom3D(int texNumR, int texNumC,\n          int texelsInBatch, int texelsInLogicalRow, int b,\n          int row, int col) {\n        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = index / texNumC;\n        int texC = index - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),t="sampleTexture";let n=q(this.context.glContext.version);return e[t]=new R(`\n        float sampleTexture(sampler2D textureSampler, vec2 uv) {\n            return ${n.texture2D}(textureSampler, uv).r;\n        }`),e}getInputsSamplingSnippets(){let e={},t=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach(((n,r)=>{let o=this.context.inputTextureLayouts[r],i=Kn(n);o.isPacked?e[i]=this.getPackedSamplerFromInput(i,n,o):e[i]=this.getUnpackedSamplerFromInput(i,n,o);let a=Uu(n);o.unpackedShape.length<=t.unpackedShape.length&&(o.isPacked?e[a]=this.getPackedSamplerAtOutputCoords(a,o,t,n):e[a]=this.getUnpackedSamplerAtOutputCoords(a,o,t,n))})),e}getPackedSamplerAtOutputCoords(e,t,n,r){let o,i=t.unpackedShape,a=n.unpackedShape,s=Kn(r),u=i.length,l=a.length,c=Xe.getBroadcastDims(i,a),p=Ke(l),d=l-u,f=St();o=0===u?"":l<2&&c.length>=1?"coords = 0;":c.map((e=>`coords.${f[e+d]} = 0;`)).join("\n");let h="";h=l<2&&u>0?"coords":i.map(((e,t)=>`coords.${f[t+d]}`)).join(", ");let g="return outputValue;",m=1===U.size(i),b=1===U.size(a);if(1!==u||m||b){if(m&&!b)g=1===l?"\n          return vec4(outputValue.x, outputValue.x, 0., 0.);\n        ":"\n          return vec4(outputValue.x);\n        ";else if(c.length){let e=u-2,t=u-1;c.indexOf(e)>-1&&c.indexOf(t)>-1?g="return vec4(outputValue.x);":c.indexOf(e)>-1?g="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":c.indexOf(t)>-1&&(g="return vec4(outputValue.xx, outputValue.zz);")}}else g="\n        return vec4(outputValue.xy, outputValue.xy);\n      ";let y=`\n        int lastDim = coords.${f[l-1]};\n        coords.${f[l-1]} = coords.${f[l-2]};\n        coords.${f[l-2]} = lastDim;\n      `;return new R(`\n      vec4 ${e}() {\n        ${p} coords = getOutputCoords();\n        ${y}\n        ${o}\n        vec4 outputValue = ${s}(${h});\n        ${g}\n      }\n    `,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(e,t,n,r){let o=[n.width,n.height],i=[t.width,t.height],a=t.unpackedShape.length,s=n.unpackedShape.length,u=t.unpackedShape,l=n.unpackedShape,c=Kn(r);if(a===s&&pr.arraysEqual(i,o)){return new R(`\n          float ${e}() {\n            return sampleTexture(${r}, TexCoords);\n          }\n        `,["coordinates.sampleTexture"])}let p,d=Ke(s),f=Xe.getBroadcastDims(u,l),h=s-a,g=St();p=0===a?"":s<2&&f.length>=1?"coords = 0;":f.map((e=>`coords.${g[e+h]} = 0;`)).join("\n");let m="";return m=s<2&&a>0?"coords":t.unpackedShape.map(((e,t)=>`coords.${g[t+h]}`)).join(", "),new R(`\n        float ${e}() {\n          ${d} coords = getOutputCoords();\n          ${p}\n          return ${c}(${m});\n        }\n      `,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(e,t,n){switch(n.unpackedShape.length){case 0:return this.getPackedSamplerScalar(e,t);case 1:return this.getPackedSampler1D(e,t,n);case 2:return this.getPackedSampler2D(e,t,n);case 3:return this.getPackedSampler3D(e,t,n);default:return this.getPackedSamplerND(e,t,n)}}getUnpackedSamplerFromInput(e,t,n){let r=n.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(e,t,n);case 1:return this.getUnpackedSampler1D(e,t,n);case 2:return this.getUnpackedSampler2D(e,t,n);case 3:return this.getUnpackedSampler3D(e,t,n);case 4:return this.getUnpackedSampler4D(e,t,n);case 5:return this.getUnpackedSampler5D(e,t,n);case 6:return this.getUnpackedSampler6D(e,t,n);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(e,t){let n=`\n          vec4 ${e}() {\n            return ${q(this.context.glContext.version).texture2D}(${t}, halfCR);\n          }\n        `;return new R(n)}getPackedSampler1D(e,t,n){let r=[n.width,n.height],o=[r[1],r[0]],i=q(this.context.glContext.version),a=`vec4 ${e}(int index) {\n      vec2 uv = packedUVfrom1D(\n      ${o[0]}, ${o[1]}, index);\n      return ${i.texture2D}(${t}, uv);\n    }`;return new R(a,["coordinates.packedUVfrom1D"])}getPackedSampler2D(e,t,n){let r=n.unpackedShape,o=[n.width,n.height],i=q(this.context.glContext.version),a=o[0],s=o[1];if(null!=o&&pr.arraysEqual(r,o)){let n=`vec4 ${e}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}.0, ${a}.0);\n        return ${i.texture2D}(${t}, uv);\n      }`;return new R(n)}let u=o,l=Math.ceil(r[1]/2),c=`vec4 ${e}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${u[1]}, ${u[0]}, ${l}, row, col);\n      return ${i.texture2D}(${t}, uv);\n    }`;return new R(c,["coordinates.packedUVfrom2D"])}getPackedSampler3D(e,t,n){let r=n.unpackedShape,o=[n.width,n.height],i=[o[0],o[1]],a=q(this.context.glContext.version);if(1===r[0]){let o=r.slice(1),i=[1,2],a=kr(r,o),s=["b","row","col"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=a;let l=this.getPackedSamplerFromInput(e,t,u),c=`${l.routineBody}\n      vec4 ${e}(int b, int row, int col) {\n        return ${e}(${Br(s,i)});\n      } `;return new R(c,l.dependencies)}let s=i[0],u=i[1],l=Math.ceil(r[2]/2),c=`vec4 ${e}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${u}, ${s}, ${l*Math.ceil(r[1]/2)}, ${l}, b, row, col);\n      return ${a.texture2D}(${t}, uv);}`;return new R(c,["coordinates.packedUVfrom3D"])}getPackedSamplerND(e,t,n){let r=n.unpackedShape,o=r.length,i=[n.width,n.height],a=q(this.context.glContext.version),s=[i[0],i[1]],u=s[1],l=s[0],c=Math.ceil(r[o-1]/2),p=c*Math.ceil(r[o-2]/2),d="int b, int row, int col",f=`b * ${p} + (row / 2) * ${c} + (col / 2)`;for(let e=2;e<o-1;e++)d=`int b${e}, `+d,p*=r[o-e-1],f=`b${e} * ${p} + `+f;let h=`vec4 ${e}(${d}) {\n      int index = ${f};\n      int texR = index / ${l};\n      int texC = index - texR * ${l};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${l}, ${u});\n      return ${a.texture2D}(${t}, uv);\n    }`;return new R(h)}getUnpackedSamplerScalar(e,t,n){let[r,o]=[n.width,n.height];if(1===r&&1===o){return new R(`\n          float ${e}() {\n            return sampleTexture(${t}, halfCR);\n          }\n        `,["coordinates.sampleTexture"])}return new R(`\n        float ${e}() {\n          int offset_${t} = coordsToOffset(TexCoords, ${r}, ${o});\n          vec2 uv = uvFromFlat(${r}, ${o}, offset_${t});\n          return sampleTexture(${t}, uv);\n        }\n      `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(e,t,n){let r=n.width,o=n.height;if(1===o&&1===r){return new R(`\n        float ${e}(int index) {\n          return sampleTexture(${t}, halfCR);\n        }\n      `,["coordinates.sampleTexture"])}if(1===o){return new R(`\n          float ${e}(int index) {\n            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\n            return sampleTexture(${t}, uv);\n          }\n        `,["coordinates.sampleTexture"])}if(1===r){return new R(`\n          float ${e}(int index) {\n            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${o}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `,["coordinates.sampleTexture"])}return new R(`\n        float ${e}(int index) {\n          vec2 uv = uvFromFlat(${r}, ${o}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler2D(e,t,n){let r=n.unpackedShape,o=[n.height,n.width];if(null!=o&&pr.arraysEqual(r,o)){return new R(`\n          float ${e}(int row, int col) {\n            vec2 uv = (vec2(row, col) + halfCR) / vec2(${o[1]}.0, ${o[0]}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `,["coordinates.sampleTexture"])}let{newShape:i,keptDims:a}=Gr(r),s=i;if(s.length<r.length){let o=kr(r,s),i=JSON.parse(JSON.stringify(n));i.unpackedShape=o;let u=["col","row"],l=`\n          ${this.getUnpackedSamplerFromInput(e,t,i).routineBody}\n          float ${e}(int row, int col) {\n            return ${e}(${Br(u,a)});\n          }\n        `;return new R(l,["coordinates.sampleTexture"])}let u=o[1],l=o[0];if(1===l){let n=`\n          float ${e}(int row, int col) {\n            int offset_${t} = coordsToOffset(TexCoords, ${u}, ${l});\n            float index = dot(vec3(row, col, offset_${t}), vec3(${r[1]}, 1, 1));\n            vec2 uv = vec2(0.5, (index + 0.5) / ${u}.0);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new R(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(1===u){let n=`\n          float ${e}(int row, int col) {\n            int offset_${t} = coordsToOffset(TexCoords, ${u}, ${l});\n            float index = dot(vec3(row, col, offset_${t}), vec3(${r[1]}, 1, 1));\n            vec2 uv = vec2((index + 0.5) / ${l}.0, 0.5);\n            return sampleTexture(${t}, uv);\n          }\n        `;return new R(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}let c=`\n        float ${e}(int row, int col) {\n          int index = col * ${r[1]} + row;\n          vec2 uv = uvFromFlat(${u}, ${l}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `;return new R(c,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler3D(e,t,n){let r=n.unpackedShape,o=r[1]*r[2],i=r[2],{newShape:a,keptDims:s}=Gr(r),u=a;if(u.length<r.length){let o=kr(r,u),i=["batch","col","row"],a=JSON.parse(JSON.stringify(n));a.unpackedShape=o;let l=this.getUnpackedSamplerFromInput(e,t,a),c=s.reverse(),p=`\n          ${l.routineBody}\n          float ${e}(int batch, int row, int col) {\n            return ${e}(${Br(i,c)});\n          }\n        `;return new R(p,l.dependencies)}let l=n.width,c=n.height;return new R(`\n          float ${e}(int depth, int row, int col) {\n            // Explicitly use integer operations as dot() only works on floats.\n            int index = depth * ${o} + col * ${i} + row;\n            vec2 uv = uvFromFlat(${l}, ${c}, index);\n            return sampleTexture(${t}, uv);\n          }\n      `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(e,t,n){let r=n.unpackedShape,o=r[3],i=r[2]*o,a=r[1]*i,s=n.width,u=n.height;return new R(`\n        float ${e}(int row, int col, int depth, int depth2) {\n          int index = row * ${a} + col * ${i} +\n              depth2 * ${o} + depth;\n          vec2 uv = uvFromFlat(${s}, ${u}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(e,t,n){let r=n.unpackedShape,o=r[4],i=r[3]*o,a=r[2]*i,s=r[1]*a,{newShape:u,keptDims:l}=Gr(r);if(u.length<r.length){let o=kr(r,u),i=["row","col","depth","depth2","depth3"],a=JSON.parse(JSON.stringify(n));a.unpackedShape=o;let s=`\n          ${this.getUnpackedSamplerFromInput(e,t,a).routineBody}\n          float ${e}(int row, int col, int depth, int depth2, int depth3) {\n            return ${e}(${Br(i,l)});\n          }\n        `;return new R(s,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let c=n.width,p=n.height;return new R(`\n        float ${e}(int row, int col, int depth, int depth2, int depth3) {\n          int index = row * ${s} + col * ${a} + depth * ${i} +\n          depth3 * ${o} + depth2;\n          vec2 uv = uvFromFlat(${c}, ${p}, index);\n          return sampleTexture(${t}, uv);\n        }\n      `,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(e,t,n){let r=n.unpackedShape,o=r[5],i=r[4]*o,a=r[3]*i,s=r[2]*a,u=r[1]*s,{newShape:l,keptDims:c}=Gr(r);if(l.length<r.length){let o=kr(r,l),i=["row","col","depth","depth2","depth3","depth4"],a=JSON.parse(JSON.stringify(n));a.unpackedShape=o;let s=`\n            ${this.getUnpackedSamplerFromInput(e,t,a).routineBody}\n            float ${e}(int row, int col, int depth,\n              int depth2, int depth3, int depth4) {\n              return ${e}(${Br(i,c)});\n            }\n          `;return new R(s,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let p=n.width,d=n.height;return new R(`\n          float ${e}(int row, int col, int depth,\n            int depth2, int depth3, int depth4) {\n            int index = row * ${u} + col * ${s} + depth * ${a} +\n            depth2 * ${i} + depth3 * ${o} + depth4;\n            vec2 uv = uvFromFlat(${p}, ${d}, index);\n            return sampleTexture(${t}, uv);\n          }\n        `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}toVec(){let e=this.context.outputTextureLayout,t=e.shape.length,n=e.strides,r=e.width,o=e.height,i=[];for(let e=0;e<t-1;++e)i.push(`\n        c[${e}] = offset / ${n[e]};`),i.push(`\n        offset -= c[${e}] * ${n[e]};`);i.push(`\n        c[${t-1}] = offset;`);let a=`\n      void toVec(vec2 texCoords, out int c[${t}]) {\n        int offset = coordsToOffset(texCoords, ${r}, ${o});\n        ${i.join("")}\n      }\n      void toVec(int offset, out int c[${t}]) {\n        ${i.join("")}\n      }\n    `;return{toVec:new R(a,["coordinates.coordsToOffset"])}}valueFrom(){let e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{let r=this.context.inputTextureLayouts[n],o=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length,i=`_${t}`;e[i]=new R(this.getValueFromSingle(t,o,r.width,r.height,!1),[`shapeUtils.indicesToOffset${i}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),i+="_T",e[i]=new R(this.getValueFromSingle(t,o,r.width,r.height,!0),[`shapeUtils.indicesToOffset${i}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])})),e}getValueFromSingle(e,t,n,r,o){let i=`_${e}`;return o&&(i+="_T"),`\n        float ${i}(int m[${t}]) {\n          int offset = indicesToOffset${i}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          float value = getColorAsFloat(${q(this.context.glContext.version).texture2D}(${e}, coords));\n          return value;\n        }\n        `}getPackedValueFrom(e,t,n,r,o){let i=`_${e}_Pack`;return o&&(i+="_T"),`\n        vec4 ${i}(int m[${t}]) {\n          int offset = indicesToOffset_${e}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          return ${q(this.context.glContext.version).texture2D}(${e}, coords);\n        }\n        `}}})),po,rp=L((()=>{Vt(),po=class e extends pt{constructor(e){super(e)}getFunctions(){return{...this.encodeFloat32(),...this.decodeFloat32()}}getCustomTypes(){return{}}encodeFloat32(){return{encode:new R("highp vec4 encode(highp float f) {\n        return vec4(f, 0.0, 0.0, 0.0);\n      }\n        ")}}decodeFloat32(){return{decode:new R("highp float decode(highp vec4 rgba) {\n        return rgba.r;\n      }\n        ")}}encodeUint8(){let t=e.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new R(`\n      highp vec4 encode(highp float f) {\n        highp float F = abs(f);\n        highp float Sign = step(0.0,-f);\n        highp float Exponent = floor(log2(F));\n        highp float Mantissa = (exp2(- Exponent) * F);\n        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));\n        highp vec4 rgba;\n        rgba[0] = 128.0 * Sign  + floor(Exponent*exp2(-1.0));\n    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e=new ArrayBuffer(4),t=new Uint32Array(e),n=new Uint8Array(e);if(t[0]=3735928559,239===n[0])return!0;if(222===n[0])return!1;throw new Error("unknown endianness")}}})),ho,np=L((()=>{Vt(),xe(),ho=class extends pt{constructor(e){super(e)}getFunctions(){return{...this.setFragColor(),...this.getColorAsFloat()}}getCustomTypes(){return{}}setFragColor(){let e=q(this.context.glContext.version);return{setFragColor:new R(`\n        void setFragColor(float value) {\n            ${e.output} = encode(value);\n        }\n        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new R("\n        float getColorAsFloat(vec4 color) {\n            return decode(color);\n        }\n        ",["encoding.decode"])}}}})),mo,op=L((()=>{Vt(),mo=class e extends pt{constructor(e){super(e)}getFunctions(){return{...this.bcastIndex(),...this.bcastMatmulIndex(),...this.offsetToIndices(),...this.indicesToOffset(),...this.incrementIndices()}}getCustomTypes(){return{}}bcastIndex(){let e=this.context.outputTextureLayout.shape.length,t={};return this.context.programInfo.inputNames.forEach(((n,r)=>{let o=this.context.inputTextureLayouts[r].unpackedShape;if(o.length<=e){let r=o.length,i=e-r,a=`bcastIndices_${n}`,s="";for(let e=0;e<r;++e)s+=`\n          realIndices[${e}] = int( mod(float(bcastedIndices[${i+e}]), ${o[e]}.0) );\n          `;let u=`\n        void ${a} (int bcastedIndices[${e}], out int realIndices[${r}]) {\n          ${s}\n        }\n        `;t[a]=new R(u)}})),t}bcastMatmulIndex(){let e=this.context.outputTextureLayout.shape.length,t={};return this.context.programInfo.inputNames.forEach(((n,r)=>{let o=this.context.inputTextureLayouts[r].shape;if(!(o.length<2||o.length>e)){let r=o.length,i=e-r,a=`bcastMatmulIndices_${n}`,s="";for(let e=0;e<r-2;++e)s+=`\n          realIndices[${e}] = int( mod(float(bcastedIndices[${i+e}]), ${o[e]}.0) );\n          `;let u=`\n        void ${a}(int bcastedIndices[${e}], out int realIndices[${r}]) {\n          ${s}\n          realIndices[${r-1}] = bcastedIndices[${e-1}];\n          realIndices[${r-2}] = bcastedIndices[${e-2}];\n        }\n        `;t[a]=new R(u)}})),t}indicesToOffset(){let t={};return this.context.programInfo.inputNames.forEach(((n,r)=>{let o=this.context.inputTextureLayouts[r].shape,i=this.context.inputTextureLayouts[r].strides,a=o.length,s=`indicesToOffset_${n}`;t[s]=new R(e.indexToOffsetSingle(s,a,i)),s=`indicesToOffset_${n}_T`,t[s]=new R(e.indexToOffsetSingle(s,a,i.slice().reverse()))})),t}static indexToOffsetSingle(e,t,n){let r="";for(let e=t-1;e>=0;--e)r+=`\n        offset += indices[${e}] * ${n[e]};\n        `;return`\n      int ${e}(int indices[${t}]) {\n        int offset = 0;\n        ${r}\n        return offset;\n      }\n      `}offsetToIndices(){let t={};return this.context.programInfo.inputNames.forEach(((n,r)=>{let o=this.context.inputTextureLayouts[r].shape,i=this.context.inputTextureLayouts[r].strides,a=o.length,s=`offsetToIndices_${n}`;t[s]=new R(e.offsetToIndicesSingle(s,a,i)),s=`offsetToIndices_${n}_T`,t[s]=new R(e.offsetToIndicesSingle(s,a,i.slice().reverse()))})),t}static offsetToIndicesSingle(e,t,n){let r=[];for(let e=0;e<t-1;++e)r.push(`\n      indices[${e}] = offset / ${n[e]};`),r.push(`\n        offset -= indices[${e}] * ${n[e]};`);return r.push(`\n      indices[${t-1}] = offset;`),`\n      void ${e}(int offset, out int indices[${t}]) {\n        ${r.join("")}\n      }\n      `}incrementIndices(){let e={};return this.context.programInfo.inputNames.forEach(((t,n)=>{let r=this.context.inputTextureLayouts[n].shape,o=r.length,i=`incrementIndices_${t}`,a="";for(let e=0;e<o;++e)a+=`\n        shape[${e}] = ${r[e]};`;let s=`\n        void ${i}(int axis, out int indices[${o}]) {\n          int shape[${o}];\n          ${a};\n          for(int i = ${o} -1 ; i >= 0; --i) {\n            if(i > axis) continue;\n            indices[i] += 1;\n            if(indices[i] < shape[i]) {\n              break;\n            }\n            indices[i] = 0;\n          }\n        }\n        `;e[i]=new R(s)})),e}}})),bo,ip=L((()=>{Vt(),bo=class extends pt{constructor(e){super(e)}getCustomTypes(){return{}}getFunctions(){return{...this.binaryVecFunctions(),...this.copyVec(),...this.setVecItem(),...this.getVecItem()}}binaryVecFunctions(){let e=this.context.outputTextureLayout.shape.length,t={add:"+=",sub:"-=",mul:"*=",div:"/="},n={};for(let r in t){let o=`${r}Vec`,i="";for(let n=0;n<e;++n)i+=`\n          dest[${n}] ${t[r]} src[${n}];\n          `;let a=`\n        void ${o}(int src[${e}], out int dest[${e}]) {\n          ${i}\n        }\n        `;n[o]=new R(a)}return n}copyVec(){let e=this.context.outputTextureLayout.shape.length,t="";for(let n=0;n<e;++n)t+=`\n        dest[${n}] = src[${n}];\n        `;return{copyVec:new R(`\n      void copyVec(int src[${e}], out int dest[${e}]) {\n        ${t}\n      }\n      `)}}setVecItem(){let e=this.context.outputTextureLayout.shape.length,t=`\n        if(index < 0)\n            index =${e} + index;\n        if (index == 0)\n            m[0] = value;\n        `;for(let n=1;n<e-1;++n)t+=`\n        else if (index == ${n})\n            m[${n}] = value;\n            `;return t+=`\n        else\n            m[${e-1}] = value;\n        `,{setVecItem:new R(`\n      void setVecItem(out int m[${e}], int index, int value) {\n        ${t}\n      }\n        `)}}getVecItem(){let e=this.context.outputTextureLayout.shape.length,t=`\n        if(index < 0)\n            index = ${e} + index;\n        if (index == 0)\n            return m[0];\n      `;for(let n=1;n<e-1;++n)t+=`\n        else if (index == ${n})\n            return m[${n}];\n      `;return t+=`\n        else\n            return m[${e-1}];\n        `,{getVecItem:new R(`\n      int getVecItem(int m[${e}], int index) {\n        ${t}\n      }\n    `)}}}})),ji,ap=L((()=>{tp(),rp(),np(),op(),ip(),ji={encoding:po,fragcolor:ho,vec:bo,shapeUtils:mo,coordinates:co}})),go,sp=L((()=>{Vt(),Qc(),ap(),xe(),go=class{constructor(e,t,n,r){this.libs={},this.glslLibRoutineDependencyGraph={},this.context=new eo(e,t,n,r),Object.keys(ji).forEach((e=>{let t=new ji[e](this.context);this.libs[e]=t}));let o=this.glslLibRoutineDependencyGraph;for(let e in this.libs){let t=this.libs[e].getFunctions();for(let n in t){let r,i=e+"."+n;o[i]?(r=o[i],r.routineBody=t[n].routineBody):(r=new cn(i,t[n].routineBody),o[i]=r);let a=t[n].dependencies;if(a)for(let e=0;e<a.length;++e)if(o[a[e]])r.addDependency(o[a[e]]);else{let t=new cn(a[e]);o[a[e]]=t,r.addDependency(t)}}}}preprocess(){let e=this.context.programInfo,t=e.shaderSource;return this.context.programInfo.hasMain||(t=`${t}\n      ${Gu(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),t=Zc(t),`${Mu(this.context.glContext.version)}\n    ${this.getUniforms(e.inputNames,e.variables)}\n    ${this.getImports(t)}\n    ${t}`}getImports(e){let t=this.selectGlslLibRoutinesToBeIncluded(e);if(0===t.length)return"";let n="";for(let e=0;e<t.length;++e){if(!t[e].routineBody)throw new Error(`Missing body for the Glsl Library routine: ${t[e].name}`);n+=t[e].routineBody+"\n"}return n}selectGlslLibRoutinesToBeIncluded(e){let t=[];return Object.keys(this.glslLibRoutineDependencyGraph).forEach((n=>{let r=n.split(".")[1];-1!==e.indexOf(r)&&t.push(this.glslLibRoutineDependencyGraph[n])})),to.returnOrderedNodes(t)}getUniforms(e,t){let n=[];if(e)for(let t of e)n.push(`uniform sampler2D ${t};`);if(t)for(let e of t)n.push(`uniform ${e.type} ${e.name}${e.arrayLength?`[${e.arrayLength}]`:""};`);return n.join("\n")}}})),yo,up=L((()=>{vt(),ut(),sp(),xe(),yo=class{constructor(e,t,n){this.profiler=e,this.glContext=t,this.textureLayoutStrategy=n,this.repo=new Map,this.attributesBound=!1}getArtifact(e){return this.repo.get(e)}setArtifact(e,t){this.repo.set(e,t)}run(e,t,n){this.profiler.event("op",`ProgramManager.run ${e.programInfo.name??"unknown kernel"}`,(()=>{let r=this.glContext.gl,o=e.program;r.useProgram(o);try{this.bindOutput(n),this.attributesBound||this.bindAttributes(e.attribLocations),this.bindUniforms(e.uniformLocations,e.programInfo.variables??[],t)}catch(t){throw ce.error("ProgramManager",e.programInfo.shaderSource),t}this.profiler.event("backend","GlContext.draw()",(()=>{this.glContext.draw()}))}),this.glContext)}dispose(){this.vertexShader&&this.glContext.deleteShader(this.vertexShader),this.repo.forEach((e=>this.glContext.deleteProgram(e.program)))}build(e,t,n){return this.profiler.event("backend","ProgramManager.build",(()=>{let r=new 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t=e.position,n=e.textureCoord;this.glContext.setVertexAttributes(t,n),this.attributesBound=!0}bindUniforms(e,t,n){let r=this.glContext.gl,o=0;for(let{name:i,type:a,location:s,arrayLength:u}of e){let e=t.find((e=>e.name===i))?.data;if("sampler2D"!==a&&!e)throw new Error(`variable '${i}' does not have data defined in program info`);switch(a){case"sampler2D":this.bindTexture(n[o],s,o),o++;break;case"float":u?r.uniform1fv(s,e):r.uniform1f(s,e);break;case"int":u?r.uniform1iv(s,e):r.uniform1i(s,e);break;default:throw new Error(`Uniform not implemented: ${a}`)}}}bindTexture(e,t,n){this.glContext.bindTextureToUniform(e.texture,n,t)}getAttribLocations(e){return{position:this.getAttribLocation(e,"position"),textureCoord:this.getAttribLocation(e,"textureCoord")}}getUniformLocations(e,t,n){let r=[];if(t)for(let n of t)r.push({name:n,type:"sampler2D",location:this.getUniformLocation(e,n)});if(n)for(let t of n)r.push({...t,location:this.getUniformLocation(e,t.name)});return r}getUniformLocation(e,t){let n=this.glContext.gl.getUniformLocation(e,t);if(null===n)throw new Error(`Uniform ${t} not found.`);return n}getAttribLocation(e,t){return this.glContext.gl.getAttribLocation(e,t)}}})),To,lp=L((()=>{ut(),ln(),To=class{constructor(e,t,n,r){this.glContext=e,this.layoutStrategy=t,this.profiler=n,this.config=r,this.pendingRead=new Map,r.reuseTextures&&(this.inUseTextures=new Map,this.idleTextures=new Map,this.textureLookup=new Map)}createTextureFromLayout(e,t,n,r){let o=this.toEncoderType(e),i=this.glContext.getEncoder(o,t.channels||1,r);if(t.isPacked&&1===r)throw new Error("not implemented");let a,s,u=t.width,l=t.height;if(this.config.reuseTextures){a=`${u}x${l}_${i.format}_${i.internalFormat}_${i.textureType}`,s=this.inUseTextures.get(a),s||(s=[],this.inUseTextures.set(a,s));let t=this.idleTextures.get(a);if(t&&t.length>0){let o=t.pop();return 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i=this.glContext.readTexture(e.texture,e.width,e.height,o,this.toEncoderType(t),n),a=this.toTensorData(t,i),s=this.pendingRead.get(r);return this.pendingRead.delete(r),s?.forEach((e=>e(a))),a}))}readUint8TextureAsFloat(e){return this.profiler.event("backend","TextureManager.readUint8TextureAsFloat",(()=>{let t=e.shape.reduce(((e,t)=>e*t)),n=this.glContext.readTexture(e.texture,e.width,e.height,4*t,"byte",4);return new Float32Array(n.buffer,n.byteOffset,t)}))}releaseTexture(e,t){let n;if(this.config.reuseTextures&&(n=this.textureLookup.get(e.texture),n)){t&&this.textureLookup.delete(n);let r=this.inUseTextures.get(n);if(r){let t=r.indexOf(e.texture);if(-1!==t){r.splice(t,1);let o=this.idleTextures.get(n);o||(o=[],this.idleTextures.set(n,o)),o.push(e.texture)}}}(!n||t)&&(ce.verbose("TextureManager",`Deleting texture of size ${e.width}x${e.height}`),this.glContext.deleteTexture(e.texture))}toTensorData(e,t){switch(e){case"int16":return t instanceof Int16Array?t:Int16Array.from(t);case"int32":return t instanceof Int32Array?t:Int32Array.from(t);case"int8":return t instanceof Int8Array?t:Int8Array.from(t);case"uint16":return t instanceof Uint16Array?t:Uint16Array.from(t);case"uint32":return t instanceof Uint32Array?t:Uint32Array.from(t);case"uint8":case"bool":return t instanceof Uint8Array?t:Uint8Array.from(t);case"float32":return t instanceof Float32Array?t:Float32Array.from(t);case"float64":return t instanceof Float64Array?t:Float64Array.from(t);default:throw new Error(`TensorData type ${e} is not supported`)}}toTextureData(e,t){if(t)return t instanceof Float32Array?t:new Float32Array(t)}toEncoderType(e){return"float"}clearActiveTextures(){this.glContext.clearActiveTextures()}}})),xo,fp=L((()=>{ut(),Os(),tl(),Kc(),up(),qi(),lp(),xo=class{constructor(e,t){this.backend=e,this.context=t,this.layoutStrategy=new fo(e.glContext.maxTextureSize),this.programManager=new 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Error(n)}}deleteTexture(e){this.gl.deleteTexture(e)}deleteProgram(e){this.gl.deleteProgram(e)}getEncoder(e,t,n=0){if(2===this.version)return new Jn(this.gl,t);switch(e){case"float":return 1===n||this.isRenderFloat32Supported?new un(this.gl,t):new un(this.gl,t,this.textureHalfFloatExtension.HALF_FLOAT_OES);case"int":throw new Error("not implemented");case"byte":return new Zn(this.gl,t);default:throw new Error(`Invalid dataType: ${e}`)}}clearActiveTextures(){let e=this.gl;for(let t=0;t<this.maxTextureImageUnits;++t)e.activeTexture(e.TEXTURE0+t),e.bindTexture(e.TEXTURE_2D,null)}dispose(){if(this.disposed)return;let e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteFramebuffer(this.framebuffer),e.bindBuffer(e.ARRAY_BUFFER,null),e.deleteBuffer(this.vertexbuffer),e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null),e.finish(),this.disposed=!0}createDefaultGeometry(){return new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0])}createVertexbuffer(){let 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new Error("duplicated attribute names")}}set(e,t,n){this._attributes.set(e,[n,t])}delete(e){this._attributes.delete(e)}getFloat(e,t){return this.get(e,"float",t)}getInt(e,t){return this.get(e,"int",t)}getString(e,t){return this.get(e,"string",t)}getTensor(e,t){return this.get(e,"tensor",t)}getFloats(e,t){return this.get(e,"floats",t)}getInts(e,t){return this.get(e,"ints",t)}getStrings(e,t){return this.get(e,"strings",t)}getTensors(e,t){return this.get(e,"tensors",t)}get(e,t,n){let r=this._attributes.get(e);if(void 0===r){if(void 0!==n)return n;throw new Error(`required attribute not found: ${e}`)}if(r[1]!==t)throw new Error(`type mismatch: expected ${t} but got ${r[1]}`);return r[0]}static getType(e){let t=e instanceof oe.onnx.AttributeProto?e.type:e.type();switch(t){case oe.onnx.AttributeProto.AttributeType.FLOAT:return"float";case oe.onnx.AttributeProto.AttributeType.INT:return"int";case oe.onnx.AttributeProto.AttributeType.STRING:return"string";case oe.onnx.AttributeProto.AttributeType.TENSOR:return"tensor";case oe.onnx.AttributeProto.AttributeType.FLOATS:return"floats";case oe.onnx.AttributeProto.AttributeType.INTS:return"ints";case oe.onnx.AttributeProto.AttributeType.STRINGS:return"strings";case oe.onnx.AttributeProto.AttributeType.TENSORS:return"tensors";default:throw new Error(`attribute type is not supported yet: ${oe.onnx.AttributeProto.AttributeType[t]}`)}}static getValue(e){let t=e instanceof oe.onnx.AttributeProto?e.type:e.type();if(t===oe.onnx.AttributeProto.AttributeType.GRAPH||t===oe.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error("graph attribute is not supported yet");let n=this.getValueNoCheck(e);if(t===oe.onnx.AttributeProto.AttributeType.INT&&nt.isLong(n))return nt.longToNumber(n);if(t===oe.onnx.AttributeProto.AttributeType.INTS){let e=n,t=new Array(e.length);for(let n=0;n<e.length;n++){let r=e[n];t[n]=nt.longToNumber(r)}return t}if(t===oe.onnx.AttributeProto.AttributeType.TENSOR)return e instanceof oe.onnx.AttributeProto?Fe.fromProto(n):Fe.fromOrtTensor(n);if(t===oe.onnx.AttributeProto.AttributeType.TENSORS){if(e instanceof oe.onnx.AttributeProto)return n.map((e=>Fe.fromProto(e)));if(e instanceof mt.Attribute)return n.map((e=>Fe.fromOrtTensor(e)))}return t===oe.onnx.AttributeProto.AttributeType.STRING&&e instanceof oe.onnx.AttributeProto?sn(n):t===oe.onnx.AttributeProto.AttributeType.STRINGS&&e instanceof oe.onnx.AttributeProto?n.map(sn):n}static getValueNoCheck(e){return e instanceof oe.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(e):this.getValueNoCheckFromOrtFormat(e)}static getValueNoCheckFromOnnxFormat(e){switch(e.type){case oe.onnx.AttributeProto.AttributeType.FLOAT:return e.f;case oe.onnx.AttributeProto.AttributeType.INT:return e.i;case oe.onnx.AttributeProto.AttributeType.STRING:return e.s;case oe.onnx.AttributeProto.AttributeType.TENSOR:return e.t;case oe.onnx.AttributeProto.AttributeType.GRAPH:return e.g;case oe.onnx.AttributeProto.AttributeType.FLOATS:return e.floats;case oe.onnx.AttributeProto.AttributeType.INTS:return e.ints;case oe.onnx.AttributeProto.AttributeType.STRINGS:return e.strings;case oe.onnx.AttributeProto.AttributeType.TENSORS:return e.tensors;case oe.onnx.AttributeProto.AttributeType.GRAPHS:return e.graphs;default:throw new Error(`unsupported attribute type: ${oe.onnx.AttributeProto.AttributeType[e.type]}`)}}static getValueNoCheckFromOrtFormat(e){switch(e.type()){case mt.AttributeType.FLOAT:return e.f();case mt.AttributeType.INT:return e.i();case mt.AttributeType.STRING:return e.s();case mt.AttributeType.TENSOR:return e.t();case mt.AttributeType.GRAPH:return e.g();case mt.AttributeType.FLOATS:return e.floatsArray();case mt.AttributeType.INTS:{let t=[];for(let n=0;n<e.intsLength();n++)t.push(e.ints(n));return t}case mt.AttributeType.STRINGS:{let t=[];for(let n=0;n<e.stringsLength();n++)t.push(e.strings(n));return t}case mt.AttributeType.TENSORS:{let t=[];for(let n=0;n<e.tensorsLength();n++)t.push(e.tensors(n));return t}default:throw new Error(`unsupported attribute type: ${mt.AttributeType[e.type()]}`)}}}})),Zi,_o,Qi,kt,Oo,Ji,Tp=L((()=>{yp(),tn(),Zi=Er($r()),br(),fe(),_o=W.experimental.fbs,Qi={from:(e,t)=>new Ji(e,t)},kt=class{constructor(e){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,e&&(this.type=Ve.tensorValueTypeFromProto(e.type.tensorType))}get from(){return this._from}get to(){return this._to}},Oo=class{constructor(e,t){e instanceof Zi.onnx.NodeProto?(this.name=e.name,this.opType=e.opType,this.attributes=new mn(e.attribute)):e instanceof _o.Node&&(this.name=t??e.name(),this.opType=e.opType(),this.attributes=new mn(Ve.tensorAttributesFromORTFormat(e))),this.inputs=[],this.outputs=[],this.executeNode=!0}},Ji=class{constructor(e,t){if(!e)throw new TypeError("graph is empty");this.buildGraph(e),this.transformGraph(t),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(e){if(e instanceof Zi.onnx.GraphProto)this.buildGraphFromOnnxFormat(e);else{if(!(e instanceof _o.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(e)}}buildGraphFromOnnxFormat(e){let t=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let n=new Map;if(!e.input)throw new Error("missing information in graph: input");let r=[];for(let n of e.input){if(t.has(n.name))throw new Error(`duplicated input name: ${n.name}`);let e=this._allData.push(new kt(n))-1;t.set(n.name,e),r.push(n.name)}if(!e.initializer)throw new Error("missing information in graph: initializer");for(let n of e.initializer){let e=t.get(n.name);if(void 0===e){let r=new kt;r.type={shape:{dims:Ve.tensorDimsFromProto(n.dims)},tensorType:Ve.tensorDataTypeFromProto(n.dataType)},e=this._allData.push(r)-1,t.set(n.name,e)}this._allData[e]._from=-1,this._allData[e].tensor=Fe.fromProto(n)}for(let e=0;e<this._allData.length;e++)this._allData[e].tensor||(this._allInputIndices.push(e),this._allInputNames.push(r[e]));if(!e.output)throw new Error("missing information in graph: output");for(let n of e.output){if(t.has(n.name))throw new Error(`duplicated output name: ${n.name}`);let e=this._allData.push(new kt(n))-1;t.set(n.name,e),this._allOutputIndices.push(e),this._allOutputNames.push(n.name)}if(!e.node)throw new Error("missing information in graph: node");for(let t of e.node){if(!t.name)for(let e=0;;e++){let r=`unnamed_${t.opType}_${e}`;if(!n.has(r)){t.name=r;break}}if(n.has(t.name))throw new Error(`duplicated node name: ${t.name}`);let e=this._nodes.push(new Oo(t))-1;n.set(t.name,e)}for(let n=0;n<this._nodes.length;n++){let r=this._nodes[n],o=e.node[n];if(!o.output)throw new Error(`missing output for node: ${o.name}`);for(let e of o.output){let i=t.get(e);if(typeof i>"u"&&(i=this._allData.push(new kt)-1,t.set(e,i)),r.outputs.push(i),void 0!==this._allData[i]._from)throw new Error(`multiple nodes output to one data value: ${i}`);if(this._allData[i]._from=n,"Constant"===o.opType){if(!o.attribute||1!==o.attribute.length||!o.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!o.output||1!==o.output.length)throw new Error("missing output or incorrect number of outputs for this Constant operator");r.outputs.pop(),r.executeNode=!1,this._allData[i]._from=-1,this._allData[i].tensor=Fe.fromProto(o.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){let r=this._nodes[n],o=e.node[n];if(!o.input)throw new Error(`missing input for node: ${o.name}`);for(let e of o.input){let i=t.get(e);if(typeof i>"u"){if(""===e&&(3===o.input.length||4===o.input.length)&&"Resize"===o.opType)continue;throw new Error(`unrecognized input '${e}' for node: ${o.name}`)}r.inputs.push(i),this._allData[i]._to.push(n)}}return!0}buildGraphFromOrtFormat(e){let t=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let n=new Map,r=[];for(let n=0;n<e.inputsLength();n++){let o=e.inputs(n);if(t.has(o))throw new Error(`duplicated input name: ${o}`);for(let n=0;n<e.nodeArgsLength();n++)if(e.nodeArgs(n)?.name()===o){let i=new kt;if(e.nodeArgs(n)?.type()?.valueType()!==_o.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");let a=e.nodeArgs(n).type().value(new _o.TensorTypeAndShape),s=Ve.tensorDataTypeFromProto(a.elemType()),u=a.shape(),l=[];for(let e=0;e<u.dimLength();e++)l.push(nt.longToNumber(u.dim(e).value().dimValue()));i.type={shape:{dims:l},tensorType:s};let c=this._allData.push(i)-1;t.set(o,c),r.push(o)}}for(let n=0;n<e.initializersLength();n++){let r=e.initializers(n),o=t.get(r.name());if(void 0===o){let e=new kt,n=Ve.tensorDimsFromORTFormat(r),i=Ve.tensorDataTypeFromProto(r.dataType());e.type={shape:{dims:n},tensorType:i},o=this._allData.push(e)-1,t.set(r.name(),o)}this._allData[o]._from=-1,this._allData[o].tensor=Fe.fromOrtTensor(r)}for(let e=0;e<this._allData.length;e++)this._allData[e].tensor||(this._allInputIndices.push(e),this._allInputNames.push(r[e]));for(let n=0;n<e.outputsLength();n++){let r=e.outputs(n);if(t.has(r))throw new Error(`duplicated output name: ${r}`);let o=this._allData.push(new kt)-1;t.set(r,o),this._allOutputIndices.push(o),this._allOutputNames.push(r)}if(!e.nodes)throw new Error("missing information in graph: node");for(let t=0;t<e.nodesLength();t++){let r=e.nodes(t),o=r.name();if(!o)for(let e=0;o=`unnamed_${r.opType()}_${e}`,n.has(o);e++);if(n.has(o))throw new Error(`duplicated node name: ${o}`);let i=this._nodes.push(new Oo(r,o))-1;n.set(o,i)}for(let n=0;n<this._nodes.length;n++){let r=this._nodes[n],o=e.nodes(n);if(null==o)throw new Error(`No node exists at index ${n}`);if(0===o?.outputsLength())throw new Error(`missing output for node: ${o.name}`);for(let e=0;e<o?.outputsLength();e++){let i=o?.outputs(e),a=t.get(i);if(typeof a>"u"&&(a=this._allData.push(new kt)-1,t.set(i,a)),r.outputs.push(a),void 0!==this._allData[a]._from)throw new Error(`multiple nodes output to one data value: ${a}`);if(this._allData[a]._from=n,"Constant"===o.opType()){if(1!==o.attributesLength()||!o.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(1!==o.outputsLength())throw new Error("missing output or incorrect number of outputs for this Constant operator");r.outputs.pop(),r.executeNode=!1,this._allData[a]._from=-1,this._allData[a].tensor=Fe.fromOrtTensor(o.attributes(0).t())}}}for(let n=0;n<this._nodes.length;n++){let r=this._nodes[n],o=e.nodes(n);if(0===o.inputsLength())throw new Error(`missing input for node: ${o.name}`);for(let e=0;e<o.inputsLength();e++){let i=o.inputs(e),a=t.get(i);if(typeof a>"u")throw new Error(`unrecognized input '${i}' for node: ${o.name()}`);r.inputs.push(a),this._allData[a]._to.push(n)}}}checkIsAcyclic(){let e=new Set;this._allInputIndices.forEach((t=>{this._allData[t]._to.forEach((t=>{e.add(t)}))}));let t=Array.from(e),n=new Array(this._nodes.length).fill("white");for(;t.length>0;){let e=t.pop();"gray"===n[e]?n[e]="black":(t.push(e),n[e]="gray",this._nodes[e].outputs.forEach((r=>{let o=this._allData[r];if(typeof o.tensor<"u")throw new Error("node outputs should not be initialized");if(o._from!==e)throw new Error("from property of the Value object doesn't match index of Node being processed");o._to.forEach((e=>{if("gray"===n[e])throw new Error("model graph is cyclic");"white"===n[e]&&t.push(e)}))})))}}transformGraph(e){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),e&&e.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let e=0,t=new Array(this._nodes.length,0),n=0;for(let e=0;e<this._nodes.length;e++)t[e]=n,this._nodes[e].executeNode?(n!==e&&(this._nodes[n]=this._nodes[e]),n++):this._nodes[e].outputs.forEach((e=>{this._allData[e]._from=-2}));this._nodes.splice(n,this._nodes.length-n);for(let e=0;e<this._allData.length;e++){let n=this._allData[e];void 0!==n._from&&-1!==n._from&&-2!==n._from&&(n._from=t[n._from]);for(let e=0;e<n._to.length;e++){if(!(n._to[e]>=0))throw new Error("Trying to update a removed node");n._to[e]=t[n._to[e]]}}e=0;for(let t=0;t<this._allData.length;t++)if(-2!==this._allData[t].from||-1!==this._allOutputIndices.indexOf(t+e)){if(e>0){let n=-1;void 0!==this._allData[t].from&&-1!==this._allData[t].from?(n=this._nodes[this._allData[t].from].outputs.indexOf(t+e),-1!==n&&(this._nodes[this._allData[t].from].outputs[n]=t)):(n=this._allInputIndices.indexOf(t+e),-1!==n&&(this._allInputIndices[n]=t)),this._allData[t].to.forEach((r=>{n=this._nodes[r].inputs.indexOf(t+e),-1!==n&&(this._nodes[r].inputs[n]=t)})),0===this._allData[t].to.length&&(n=this._allOutputIndices.indexOf(t+e),-1!==n&&(this._allOutputIndices[n]=t))}}else e++,this._allData.splice(t,1),t--}deleteNode(e){let t=this._nodes[e];if(t.outputs.length>1)for(let e=1;e<t.outputs.length;e++)if(this._allData[t.outputs[e]].to.length>0)throw new Error("Node deletion with more than one output connected to other nodes is not supported. ");t.executeNode=!1;let n=t.inputs[0],r=t.outputs[0],o=this._allData[r].to;for(let n=0;n<t.inputs.length;n++){let r=this._allData[t.inputs[n]].to.indexOf(e);if(-1===r)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[t.inputs[n]].to.splice(r,1)}this._allData[r]._to=[];let i=this._allOutputIndices.indexOf(r);if(-1!==i&&(this._allOutputIndices[i]=n),o&&o.length>0)for(let e of o){let t=this._nodes[e].inputs.indexOf(r);if(-1===t)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[e].inputs[t]=n,this._allData[n].to.push(e)}}removeAllDropoutNodes(){let e=0;for(let t of this._nodes){if("Dropout"===t.opType){if(1!==t.inputs.length)throw new Error("Dropout nodes should only contain one input. 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0!==this._allData[n.inputs[2]].tensor))continue;e.attributes.set("activation_params","floats",[this._allData[n.inputs[1]].tensor.floatData[0],this._allData[n.inputs[2]].tensor.floatData[0]])}e.attributes.set("activation","string",n.opType),this.deleteNode(t[0])}}}}})),xp,Jb,Io,vp=L((()=>{Wn(),Tp(),tn(),xp=Er($r()),fe(),Jb=W.experimental.fbs,Io=class{constructor(){}load(e,t,n){if(!n)try{return void this.loadFromOnnxFormat(e,t)}catch(e){if(void 0!==n)throw e}this.loadFromOrtFormat(e,t)}loadFromOnnxFormat(e,t){let n=xp.onnx.ModelProto.decode(e);if(nt.longToNumber(n.irVersion)<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=n.opsetImport.map((e=>({domain:e.domain,version:nt.longToNumber(e.version)}))),this._graph=Qi.from(n.graph,t)}loadFromOrtFormat(e,t){let n=new _.ByteBuffer(e),r=Jb.InferenceSession.getRootAsInferenceSession(n).model();if(nt.longToNumber(r.irVersion())<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=[];for(let e=0;e<r.opsetImportLength();e++){let t=r.opsetImport(e);this._opsets.push({domain:t?.domain(),version:nt.longToNumber(t.version())})}this._graph=Qi.from(r.graph(),t)}get graph(){return this._graph}get opsets(){return this._opsets}}})),So,wp=L((()=>{bp(),gp(),ut(),vp(),So=class{constructor(e={}){this._initialized=!1,this.backendHint=e.backendHint,this.profiler=zn.create(e.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(e,t,n){await this.profiler.event("session","Session.loadModel",(async()=>{let r=await Xi(this.backendHint);if(this.sessionHandler=r.createSessionHandler(this.context),this._model=new Io,"string"==typeof e){let t=e.endsWith(".ort");if(typeof process<"u"&&process.versions&&process.versions.node){let n=await(void 0)(e);this.initialize(n,t)}else{let n=await(await fetch(e)).arrayBuffer();this.initialize(new Uint8Array(n),t)}}else if(ArrayBuffer.isView(e))this.initialize(e);else{let r=new Uint8Array(e,t||0,n||e.byteLength);this.initialize(r)}}))}initialize(e,t){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",(()=>{let n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(e,n,t),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new wo(this._model.graph,this._ops,this.profiler)})),this._initialized=!0}async run(e){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",(async()=>{let t=this.normalizeAndValidateInputs(e),n=await this._executionPlan.execute(this.sessionHandler,t);return this.createOutput(n)}))}normalizeAndValidateInputs(e){let t=this._model.graph.getInputNames();if(Array.isArray(e)){if(e.length!==t.length)throw new Error(`incorrect input array length: expected ${t.length} but got ${e.length}`)}else{if(e.size!==t.length)throw new Error(`incorrect input map size: expected ${t.length} but got ${e.size}`);let n=new Array(e.size),r=0;for(let o=0;o<t.length;++o){let i=e.get(t[o]);if(!i)throw new Error(`missing input tensor for: '${name}'`);n[r++]=i}e=n}if(this.context.graphInputTypes&&0!==this.context.graphInputTypes.length&&this.context.graphInputDims&&0!==this.context.graphInputDims.length)this.validateInputTensorDims(this.context.graphInputDims,e,!1);else{let t=this._model.graph.getInputIndices(),n=this._model.graph.getValues(),r=new Array(t.length);for(let o=0;o<t.length;++o){let i=n[t[o]];r[o]=i.type.shape.dims,this.context.graphInputTypes.push(i.type.tensorType),this.context.graphInputDims.push(e[o].dims)}this.validateInputTensorDims(r,e,!0)}return 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