/*!
* ONNX Runtime Web v1.14.0
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*/
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i=t.uint32();switch(i>>>3){case 1:r.name=t.string();break;case 21:r.refAttrName=t.string();break;case 13:r.docString=t.string();break;case 20:r.type=t.int32();break;case 2:r.f=t.float();break;case 3:r.i=t.int64();break;case 4:r.s=t.bytes();break;case 5:r.t=c.onnx.TensorProto.decode(t,t.uint32());break;case 6:r.g=c.onnx.GraphProto.decode(t,t.uint32());break;case 7:if(r.floats&&r.floats.length||(r.floats=[]),2==(7&i))for(var o=t.uint32()+t.pos;t.pos<o;)r.floats.push(t.float());else r.floats.push(t.float());break;case 8:if(r.ints&&r.ints.length||(r.ints=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.ints.push(t.int64());else r.ints.push(t.int64());break;case 9:r.strings&&r.strings.length||(r.strings=[]),r.strings.push(t.bytes());break;case 10:r.tensors&&r.tensors.length||(r.tensors=[]),r.tensors.push(c.onnx.TensorProto.decode(t,t.uint32()));break;case 11:r.graphs&&r.graphs.length||(r.graphs=[]),r.graphs.push(c.onnx.GraphProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.refAttrName&&t.hasOwnProperty("refAttrName")&&!l.isString(t.refAttrName))return"refAttrName: string expected";if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.type&&t.hasOwnProperty("type"))switch(t.type){default:return"type: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 6:case 7:case 8:case 9:case 10:}if(null!=t.f&&t.hasOwnProperty("f")&&"number"!=typeof t.f)return"f: number expected";if(null!=t.i&&t.hasOwnProperty("i")&&!(l.isInteger(t.i)||t.i&&l.isInteger(t.i.low)&&l.isInteger(t.i.high)))return"i: integer|Long expected";if(null!=t.s&&t.hasOwnProperty("s")&&!(t.s&&"number"==typeof t.s.length||l.isString(t.s)))return"s: buffer expected";if(null!=t.t&&t.hasOwnProperty("t")&&(n=c.onnx.TensorProto.verify(t.t)))return"t."+n;if(null!=t.g&&t.hasOwnProperty("g")&&(n=c.onnx.GraphProto.verify(t.g)))return"g."+n;if(null!=t.floats&&t.hasOwnProperty("floats")){if(!Array.isArray(t.floats))return"floats: array expected";for(var e=0;e<t.floats.length;++e)if("number"!=typeof t.floats[e])return"floats: number[] expected"}if(null!=t.ints&&t.hasOwnProperty("ints")){if(!Array.isArray(t.ints))return"ints: array expected";for(e=0;e<t.ints.length;++e)if(!(l.isInteger(t.ints[e])||t.ints[e]&&l.isInteger(t.ints[e].low)&&l.isInteger(t.ints[e].high)))return"ints: integer|Long[] expected"}if(null!=t.strings&&t.hasOwnProperty("strings")){if(!Array.isArray(t.strings))return"strings: array expected";for(e=0;e<t.strings.length;++e)if(!(t.strings[e]&&"number"==typeof t.strings[e].length||l.isString(t.strings[e])))return"strings: buffer[] expected"}if(null!=t.tensors&&t.hasOwnProperty("tensors")){if(!Array.isArray(t.tensors))return"tensors: array expected";for(e=0;e<t.tensors.length;++e)if(n=c.onnx.TensorProto.verify(t.tensors[e]))return"tensors."+n}if(null!=t.graphs&&t.hasOwnProperty("graphs")){if(!Array.isArray(t.graphs))return"graphs: array expected";for(e=0;e<t.graphs.length;++e){var n;if(n=c.onnx.GraphProto.verify(t.graphs[e]))return"graphs."+n}}return null},t.fromObject=function(t){if(t instanceof c.onnx.AttributeProto)return t;var e=new c.onnx.AttributeProto;switch(null!=t.name&&(e.name=String(t.name)),null!=t.refAttrName&&(e.refAttrName=String(t.refAttrName)),null!=t.docString&&(e.docString=String(t.docString)),t.type){case"UNDEFINED":case 0:e.type=0;break;case"FLOAT":case 1:e.type=1;break;case"INT":case 2:e.type=2;break;case"STRING":case 3:e.type=3;break;case"TENSOR":case 4:e.type=4;break;case"GRAPH":case 5:e.type=5;break;case"FLOATS":case 6:e.type=6;break;case"INTS":case 7:e.type=7;break;case"STRINGS":case 8:e.type=8;break;case"TENSORS":case 9:e.type=9;break;case"GRAPHS":case 10:e.type=10}if(null!=t.f&&(e.f=Number(t.f)),null!=t.i&&(l.Long?(e.i=l.Long.fromValue(t.i)).unsigned=!1:"string"==typeof t.i?e.i=parseInt(t.i,10):"number"==typeof t.i?e.i=t.i:"object"==typeof t.i&&(e.i=new l.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber())),null!=t.s&&("string"==typeof t.s?l.base64.decode(t.s,e.s=l.newBuffer(l.base64.length(t.s)),0):t.s.length&&(e.s=t.s)),null!=t.t){if("object"!=typeof t.t)throw TypeError(".onnx.AttributeProto.t: object expected");e.t=c.onnx.TensorProto.fromObject(t.t)}if(null!=t.g){if("object"!=typeof t.g)throw TypeError(".onnx.AttributeProto.g: object expected");e.g=c.onnx.GraphProto.fromObject(t.g)}if(t.floats){if(!Array.isArray(t.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");e.floats=[];for(var n=0;n<t.floats.length;++n)e.floats[n]=Number(t.floats[n])}if(t.ints){if(!Array.isArray(t.ints))throw TypeError(".onnx.AttributeProto.ints: array 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TypeError(".onnx.AttributeProto.graphs: array expected");for(e.graphs=[],n=0;n<t.graphs.length;++n){if("object"!=typeof t.graphs[n])throw TypeError(".onnx.AttributeProto.graphs: object expected");e.graphs[n]=c.onnx.GraphProto.fromObject(t.graphs[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[]),e.defaults){if(n.name="",n.f=0,l.Long){var r=new l.Long(0,0,!1);n.i=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.i=e.longs===String?"0":0;e.bytes===String?n.s="":(n.s=[],e.bytes!==Array&&(n.s=l.newBuffer(n.s))),n.t=null,n.g=null,n.docString="",n.type=e.enums===String?"UNDEFINED":0,n.refAttrName=""}if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.f&&t.hasOwnProperty("f")&&(n.f=e.json&&!isFinite(t.f)?String(t.f):t.f),null!=t.i&&t.hasOwnProperty("i")&&("number"==typeof t.i?n.i=e.longs===String?String(t.i):t.i:n.i=e.longs===String?l.Long.prototype.toString.call(t.i):e.longs===Number?new l.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber():t.i),null!=t.s&&t.hasOwnProperty("s")&&(n.s=e.bytes===String?l.base64.encode(t.s,0,t.s.length):e.bytes===Array?Array.prototype.slice.call(t.s):t.s),null!=t.t&&t.hasOwnProperty("t")&&(n.t=c.onnx.TensorProto.toObject(t.t,e)),null!=t.g&&t.hasOwnProperty("g")&&(n.g=c.onnx.GraphProto.toObject(t.g,e)),t.floats&&t.floats.length){n.floats=[];for(var i=0;i<t.floats.length;++i)n.floats[i]=e.json&&!isFinite(t.floats[i])?String(t.floats[i]):t.floats[i]}if(t.ints&&t.ints.length)for(n.ints=[],i=0;i<t.ints.length;++i)"number"==typeof t.ints[i]?n.ints[i]=e.longs===String?String(t.ints[i]):t.ints[i]:n.ints[i]=e.longs===String?l.Long.prototype.toString.call(t.ints[i]):e.longs===Number?new l.LongBits(t.ints[i].low>>>0,t.ints[i].high>>>0).toNumber():t.ints[i];if(t.strings&&t.strings.length)for(n.strings=[],i=0;i<t.strings.length;++i)n.strings[i]=e.bytes===String?l.base64.encode(t.strings[i],0,t.strings[i].length):e.bytes===Array?Array.prototype.slice.call(t.strings[i]):t.strings[i];if(t.tensors&&t.tensors.length)for(n.tensors=[],i=0;i<t.tensors.length;++i)n.tensors[i]=c.onnx.TensorProto.toObject(t.tensors[i],e);if(t.graphs&&t.graphs.length)for(n.graphs=[],i=0;i<t.graphs.length;++i)n.graphs[i]=c.onnx.GraphProto.toObject(t.graphs[i],e);return null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),null!=t.type&&t.hasOwnProperty("type")&&(n.type=e.enums===String?c.onnx.AttributeProto.AttributeType[t.type]:t.type),null!=t.refAttrName&&t.hasOwnProperty("refAttrName")&&(n.refAttrName=t.refAttrName),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t.AttributeType=function(){var t={},e=Object.create(t);return e[t[0]="UNDEFINED"]=0,e[t[1]="FLOAT"]=1,e[t[2]="INT"]=2,e[t[3]="STRING"]=3,e[t[4]="TENSOR"]=4,e[t[5]="GRAPH"]=5,e[t[6]="FLOATS"]=6,e[t[7]="INTS"]=7,e[t[8]="STRINGS"]=8,e[t[9]="TENSORS"]=9,e[t[10]="GRAPHS"]=10,e}(),t}(),o.ValueInfoProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.name="",t.prototype.type=null,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.name&&t.hasOwnProperty("name")&&e.uint32(10).string(t.name),null!=t.type&&t.hasOwnProperty("type")&&c.onnx.TypeProto.encode(t.type,e.uint32(18).fork()).ldelim(),null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(26).string(t.docString),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.ValueInfoProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.name=t.string();break;case 2:r.type=c.onnx.TypeProto.decode(t,t.uint32());break;case 3:r.docString=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.type&&t.hasOwnProperty("type")){var e=c.onnx.TypeProto.verify(t.type);if(e)return"type."+e}return null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString)?"docString: string expected":null},t.fromObject=function(t){if(t instanceof c.onnx.ValueInfoProto)return t;var e=new c.onnx.ValueInfoProto;if(null!=t.name&&(e.name=String(t.name)),null!=t.type){if("object"!=typeof t.type)throw TypeError(".onnx.ValueInfoProto.type: object expected");e.type=c.onnx.TypeProto.fromObject(t.type)}return null!=t.docString&&(e.docString=String(t.docString)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.name="",n.type=null,n.docString=""),null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.type&&t.hasOwnProperty("type")&&(n.type=c.onnx.TypeProto.toObject(t.type,e)),null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),o.NodeProto=function(){function t(t){if(this.input=[],this.output=[],this.attribute=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.input=l.emptyArray,t.prototype.output=l.emptyArray,t.prototype.name="",t.prototype.opType="",t.prototype.domain="",t.prototype.attribute=l.emptyArray,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.input&&t.input.length)for(var n=0;n<t.input.length;++n)e.uint32(10).string(t.input[n]);if(null!=t.output&&t.output.length)for(n=0;n<t.output.length;++n)e.uint32(18).string(t.output[n]);if(null!=t.name&&t.hasOwnProperty("name")&&e.uint32(26).string(t.name),null!=t.opType&&t.hasOwnProperty("opType")&&e.uint32(34).string(t.opType),null!=t.attribute&&t.attribute.length)for(n=0;n<t.attribute.length;++n)c.onnx.AttributeProto.encode(t.attribute[n],e.uint32(42).fork()).ldelim();return null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(50).string(t.docString),null!=t.domain&&t.hasOwnProperty("domain")&&e.uint32(58).string(t.domain),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.NodeProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.input&&r.input.length||(r.input=[]),r.input.push(t.string());break;case 2:r.output&&r.output.length||(r.output=[]),r.output.push(t.string());break;case 3:r.name=t.string();break;case 4:r.opType=t.string();break;case 7:r.domain=t.string();break;case 5:r.attribute&&r.attribute.length||(r.attribute=[]),r.attribute.push(c.onnx.AttributeProto.decode(t,t.uint32()));break;case 6:r.docString=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.input&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var e=0;e<t.input.length;++e)if(!l.isString(t.input[e]))return"input: string[] expected"}if(null!=t.output&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(e=0;e<t.output.length;++e)if(!l.isString(t.output[e]))return"output: string[] expected"}if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.opType&&t.hasOwnProperty("opType")&&!l.isString(t.opType))return"opType: string expected";if(null!=t.domain&&t.hasOwnProperty("domain")&&!l.isString(t.domain))return"domain: string expected";if(null!=t.attribute&&t.hasOwnProperty("attribute")){if(!Array.isArray(t.attribute))return"attribute: array expected";for(e=0;e<t.attribute.length;++e){var n=c.onnx.AttributeProto.verify(t.attribute[e]);if(n)return"attribute."+n}}return null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString)?"docString: string expected":null},t.fromObject=function(t){if(t instanceof c.onnx.NodeProto)return t;var e=new c.onnx.NodeProto;if(t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.NodeProto.input: array expected");e.input=[];for(var n=0;n<t.input.length;++n)e.input[n]=String(t.input[n])}if(t.output){if(!Array.isArray(t.output))throw TypeError(".onnx.NodeProto.output: array expected");for(e.output=[],n=0;n<t.output.length;++n)e.output[n]=String(t.output[n])}if(null!=t.name&&(e.name=String(t.name)),null!=t.opType&&(e.opType=String(t.opType)),null!=t.domain&&(e.domain=String(t.domain)),t.attribute){if(!Array.isArray(t.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");for(e.attribute=[],n=0;n<t.attribute.length;++n){if("object"!=typeof t.attribute[n])throw TypeError(".onnx.NodeProto.attribute: object expected");e.attribute[n]=c.onnx.AttributeProto.fromObject(t.attribute[n])}}return null!=t.docString&&(e.docString=String(t.docString)),e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.input=[],n.output=[],n.attribute=[]),e.defaults&&(n.name="",n.opType="",n.docString="",n.domain=""),t.input&&t.input.length){n.input=[];for(var r=0;r<t.input.length;++r)n.input[r]=t.input[r]}if(t.output&&t.output.length)for(n.output=[],r=0;r<t.output.length;++r)n.output[r]=t.output[r];if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.opType&&t.hasOwnProperty("opType")&&(n.opType=t.opType),t.attribute&&t.attribute.length)for(n.attribute=[],r=0;r<t.attribute.length;++r)n.attribute[r]=c.onnx.AttributeProto.toObject(t.attribute[r],e);return null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),null!=t.domain&&t.hasOwnProperty("domain")&&(n.domain=t.domain),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),o.ModelProto=function(){function t(t){if(this.opsetImport=[],this.metadataProps=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.irVersion=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.opsetImport=l.emptyArray,t.prototype.producerName="",t.prototype.producerVersion="",t.prototype.domain="",t.prototype.modelVersion=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.docString="",t.prototype.graph=null,t.prototype.metadataProps=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.irVersion&&t.hasOwnProperty("irVersion")&&e.uint32(8).int64(t.irVersion),null!=t.producerName&&t.hasOwnProperty("producerName")&&e.uint32(18).string(t.producerName),null!=t.producerVersion&&t.hasOwnProperty("producerVersion")&&e.uint32(26).string(t.producerVersion),null!=t.domain&&t.hasOwnProperty("domain")&&e.uint32(34).string(t.domain),null!=t.modelVersion&&t.hasOwnProperty("modelVersion")&&e.uint32(40).int64(t.modelVersion),null!=t.docString&&t.hasOwnProperty("docString")&&e.uint32(50).string(t.docString),null!=t.graph&&t.hasOwnProperty("graph")&&c.onnx.GraphProto.encode(t.graph,e.uint32(58).fork()).ldelim(),null!=t.opsetImport&&t.opsetImport.length)for(var 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c.onnx.ModelProto)return t;var e=new c.onnx.ModelProto;if(null!=t.irVersion&&(l.Long?(e.irVersion=l.Long.fromValue(t.irVersion)).unsigned=!1:"string"==typeof t.irVersion?e.irVersion=parseInt(t.irVersion,10):"number"==typeof t.irVersion?e.irVersion=t.irVersion:"object"==typeof t.irVersion&&(e.irVersion=new l.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber())),t.opsetImport){if(!Array.isArray(t.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");e.opsetImport=[];for(var n=0;n<t.opsetImport.length;++n){if("object"!=typeof t.opsetImport[n])throw TypeError(".onnx.ModelProto.opsetImport: object 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i=0;i<t.opsetImport.length;++i)n.opsetImport[i]=c.onnx.OperatorSetIdProto.toObject(t.opsetImport[i],e)}if(t.metadataProps&&t.metadataProps.length)for(n.metadataProps=[],i=0;i<t.metadataProps.length;++i)n.metadataProps[i]=c.onnx.StringStringEntryProto.toObject(t.metadataProps[i],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),o.StringStringEntryProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.key="",t.prototype.value="",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.key&&t.hasOwnProperty("key")&&e.uint32(10).string(t.key),null!=t.value&&t.hasOwnProperty("value")&&e.uint32(18).string(t.value),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.StringStringEntryProto;t.pos<n;){var 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c.onnx.TensorAnnotation;if(null!=t.tensorName&&(e.tensorName=String(t.tensorName)),t.quantParameterTensorNames){if(!Array.isArray(t.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");e.quantParameterTensorNames=[];for(var n=0;n<t.quantParameterTensorNames.length;++n){if("object"!=typeof t.quantParameterTensorNames[n])throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");e.quantParameterTensorNames[n]=c.onnx.StringStringEntryProto.fromObject(t.quantParameterTensorNames[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.quantParameterTensorNames=[]),e.defaults&&(n.tensorName=""),null!=t.tensorName&&t.hasOwnProperty("tensorName")&&(n.tensorName=t.tensorName),t.quantParameterTensorNames&&t.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var r=0;r<t.quantParameterTensorNames.length;++r)n.quantParameterTensorNames[r]=c.onnx.StringStringEntryProto.toObject(t.quantParameterTensorNames[r],e)}return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),o.GraphProto=function(){function t(t){if(this.node=[],this.initializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.node=l.emptyArray,t.prototype.name="",t.prototype.initializer=l.emptyArray,t.prototype.docString="",t.prototype.input=l.emptyArray,t.prototype.output=l.emptyArray,t.prototype.valueInfo=l.emptyArray,t.prototype.quantizationAnnotation=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.node&&t.node.length)for(var 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e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.GraphProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push(c.onnx.NodeProto.decode(t,t.uint32()));break;case 2:r.name=t.string();break;case 5:r.initializer&&r.initializer.length||(r.initializer=[]),r.initializer.push(c.onnx.TensorProto.decode(t,t.uint32()));break;case 10:r.docString=t.string();break;case 11:r.input&&r.input.length||(r.input=[]),r.input.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 12:r.output&&r.output.length||(r.output=[]),r.output.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 13:r.valueInfo&&r.valueInfo.length||(r.valueInfo=[]),r.valueInfo.push(c.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 14:r.quantizationAnnotation&&r.quantizationAnnotation.length||(r.quantizationAnnotation=[]),r.quantizationAnnotation.push(c.onnx.TensorAnnotation.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.node&&t.hasOwnProperty("node")){if(!Array.isArray(t.node))return"node: array expected";for(var e=0;e<t.node.length;++e)if(n=c.onnx.NodeProto.verify(t.node[e]))return"node."+n}if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.initializer&&t.hasOwnProperty("initializer")){if(!Array.isArray(t.initializer))return"initializer: array expected";for(e=0;e<t.initializer.length;++e)if(n=c.onnx.TensorProto.verify(t.initializer[e]))return"initializer."+n}if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.input&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(e=0;e<t.input.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.input[e]))return"input."+n}if(null!=t.output&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(e=0;e<t.output.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.output[e]))return"output."+n}if(null!=t.valueInfo&&t.hasOwnProperty("valueInfo")){if(!Array.isArray(t.valueInfo))return"valueInfo: array expected";for(e=0;e<t.valueInfo.length;++e)if(n=c.onnx.ValueInfoProto.verify(t.valueInfo[e]))return"valueInfo."+n}if(null!=t.quantizationAnnotation&&t.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(t.quantizationAnnotation))return"quantizationAnnotation: array expected";for(e=0;e<t.quantizationAnnotation.length;++e){var n;if(n=c.onnx.TensorAnnotation.verify(t.quantizationAnnotation[e]))return"quantizationAnnotation."+n}}return null},t.fromObject=function(t){if(t instanceof c.onnx.GraphProto)return t;var e=new c.onnx.GraphProto;if(t.node){if(!Array.isArray(t.node))throw TypeError(".onnx.GraphProto.node: array expected");e.node=[];for(var n=0;n<t.node.length;++n){if("object"!=typeof t.node[n])throw TypeError(".onnx.GraphProto.node: object expected");e.node[n]=c.onnx.NodeProto.fromObject(t.node[n])}}if(null!=t.name&&(e.name=String(t.name)),t.initializer){if(!Array.isArray(t.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");for(e.initializer=[],n=0;n<t.initializer.length;++n){if("object"!=typeof t.initializer[n])throw TypeError(".onnx.GraphProto.initializer: object expected");e.initializer[n]=c.onnx.TensorProto.fromObject(t.initializer[n])}}if(null!=t.docString&&(e.docString=String(t.docString)),t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.GraphProto.input: array expected");for(e.input=[],n=0;n<t.input.length;++n){if("object"!=typeof t.input[n])throw TypeError(".onnx.GraphProto.input: object expected");e.input[n]=c.onnx.ValueInfoProto.fromObject(t.input[n])}}if(t.output){if(!Array.isArray(t.output))throw TypeError(".onnx.GraphProto.output: array expected");for(e.output=[],n=0;n<t.output.length;++n){if("object"!=typeof t.output[n])throw TypeError(".onnx.GraphProto.output: object expected");e.output[n]=c.onnx.ValueInfoProto.fromObject(t.output[n])}}if(t.valueInfo){if(!Array.isArray(t.valueInfo))throw TypeError(".onnx.GraphProto.valueInfo: array expected");for(e.valueInfo=[],n=0;n<t.valueInfo.length;++n){if("object"!=typeof t.valueInfo[n])throw TypeError(".onnx.GraphProto.valueInfo: object expected");e.valueInfo[n]=c.onnx.ValueInfoProto.fromObject(t.valueInfo[n])}}if(t.quantizationAnnotation){if(!Array.isArray(t.quantizationAnnotation))throw TypeError(".onnx.GraphProto.quantizationAnnotation: array expected");for(e.quantizationAnnotation=[],n=0;n<t.quantizationAnnotation.length;++n){if("object"!=typeof t.quantizationAnnotation[n])throw TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");e.quantizationAnnotation[n]=c.onnx.TensorAnnotation.fromObject(t.quantizationAnnotation[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[]),e.defaults&&(n.name="",n.docString=""),t.node&&t.node.length){n.node=[];for(var r=0;r<t.node.length;++r)n.node[r]=c.onnx.NodeProto.toObject(t.node[r],e)}if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),t.initializer&&t.initializer.length)for(n.initializer=[],r=0;r<t.initializer.length;++r)n.initializer[r]=c.onnx.TensorProto.toObject(t.initializer[r],e);if(null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.input&&t.input.length)for(n.input=[],r=0;r<t.input.length;++r)n.input[r]=c.onnx.ValueInfoProto.toObject(t.input[r],e);if(t.output&&t.output.length)for(n.output=[],r=0;r<t.output.length;++r)n.output[r]=c.onnx.ValueInfoProto.toObject(t.output[r],e);if(t.valueInfo&&t.valueInfo.length)for(n.valueInfo=[],r=0;r<t.valueInfo.length;++r)n.valueInfo[r]=c.onnx.ValueInfoProto.toObject(t.valueInfo[r],e);if(t.quantizationAnnotation&&t.quantizationAnnotation.length)for(n.quantizationAnnotation=[],r=0;r<t.quantizationAnnotation.length;++r)n.quantizationAnnotation[r]=c.onnx.TensorAnnotation.toObject(t.quantizationAnnotation[r],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t}(),o.TensorProto=function(){function t(t){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.dims=l.emptyArray,t.prototype.dataType=0,t.prototype.segment=null,t.prototype.floatData=l.emptyArray,t.prototype.int32Data=l.emptyArray,t.prototype.stringData=l.emptyArray,t.prototype.int64Data=l.emptyArray,t.prototype.name="",t.prototype.docString="",t.prototype.rawData=l.newBuffer([]),t.prototype.externalData=l.emptyArray,t.prototype.dataLocation=0,t.prototype.doubleData=l.emptyArray,t.prototype.uint64Data=l.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.dims&&t.dims.length){e.uint32(10).fork();for(var 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null!=t.dataLocation&&t.hasOwnProperty("dataLocation")&&e.uint32(112).int32(t.dataLocation),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.TensorProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:if(r.dims&&r.dims.length||(r.dims=[]),2==(7&i))for(var o=t.uint32()+t.pos;t.pos<o;)r.dims.push(t.int64());else r.dims.push(t.int64());break;case 2:r.dataType=t.int32();break;case 3:r.segment=c.onnx.TensorProto.Segment.decode(t,t.uint32());break;case 4:if(r.floatData&&r.floatData.length||(r.floatData=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.floatData.push(t.float());else r.floatData.push(t.float());break;case 5:if(r.int32Data&&r.int32Data.length||(r.int32Data=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.int32Data.push(t.int32());else r.int32Data.push(t.int32());break;case 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expected";for(e=0;e<t.int32Data.length;++e)if(!l.isInteger(t.int32Data[e]))return"int32Data: integer[] expected"}if(null!=t.stringData&&t.hasOwnProperty("stringData")){if(!Array.isArray(t.stringData))return"stringData: array expected";for(e=0;e<t.stringData.length;++e)if(!(t.stringData[e]&&"number"==typeof t.stringData[e].length||l.isString(t.stringData[e])))return"stringData: buffer[] expected"}if(null!=t.int64Data&&t.hasOwnProperty("int64Data")){if(!Array.isArray(t.int64Data))return"int64Data: array expected";for(e=0;e<t.int64Data.length;++e)if(!(l.isInteger(t.int64Data[e])||t.int64Data[e]&&l.isInteger(t.int64Data[e].low)&&l.isInteger(t.int64Data[e].high)))return"int64Data: integer|Long[] expected"}if(null!=t.name&&t.hasOwnProperty("name")&&!l.isString(t.name))return"name: string expected";if(null!=t.docString&&t.hasOwnProperty("docString")&&!l.isString(t.docString))return"docString: string expected";if(null!=t.rawData&&t.hasOwnProperty("rawData")&&!(t.rawData&&"number"==typeof t.rawData.length||l.isString(t.rawData)))return"rawData: buffer expected";if(null!=t.externalData&&t.hasOwnProperty("externalData")){if(!Array.isArray(t.externalData))return"externalData: array expected";for(e=0;e<t.externalData.length;++e){var n;if(n=c.onnx.StringStringEntryProto.verify(t.externalData[e]))return"externalData."+n}}if(null!=t.dataLocation&&t.hasOwnProperty("dataLocation"))switch(t.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:}if(null!=t.doubleData&&t.hasOwnProperty("doubleData")){if(!Array.isArray(t.doubleData))return"doubleData: array expected";for(e=0;e<t.doubleData.length;++e)if("number"!=typeof t.doubleData[e])return"doubleData: number[] expected"}if(null!=t.uint64Data&&t.hasOwnProperty("uint64Data")){if(!Array.isArray(t.uint64Data))return"uint64Data: array 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TypeError(".onnx.TensorProto.floatData: array expected");for(e.floatData=[],n=0;n<t.floatData.length;++n)e.floatData[n]=Number(t.floatData[n])}if(t.int32Data){if(!Array.isArray(t.int32Data))throw TypeError(".onnx.TensorProto.int32Data: array expected");for(e.int32Data=[],n=0;n<t.int32Data.length;++n)e.int32Data[n]=0|t.int32Data[n]}if(t.stringData){if(!Array.isArray(t.stringData))throw TypeError(".onnx.TensorProto.stringData: array expected");for(e.stringData=[],n=0;n<t.stringData.length;++n)"string"==typeof t.stringData[n]?l.base64.decode(t.stringData[n],e.stringData[n]=l.newBuffer(l.base64.length(t.stringData[n])),0):t.stringData[n].length&&(e.stringData[n]=t.stringData[n])}if(t.int64Data){if(!Array.isArray(t.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");for(e.int64Data=[],n=0;n<t.int64Data.length;++n)l.Long?(e.int64Data[n]=l.Long.fromValue(t.int64Data[n])).unsigned=!1:"string"==typeof t.int64Data[n]?e.int64Data[n]=parseInt(t.int64Data[n],10):"number"==typeof t.int64Data[n]?e.int64Data[n]=t.int64Data[n]:"object"==typeof t.int64Data[n]&&(e.int64Data[n]=new l.LongBits(t.int64Data[n].low>>>0,t.int64Data[n].high>>>0).toNumber())}if(null!=t.name&&(e.name=String(t.name)),null!=t.docString&&(e.docString=String(t.docString)),null!=t.rawData&&("string"==typeof t.rawData?l.base64.decode(t.rawData,e.rawData=l.newBuffer(l.base64.length(t.rawData)),0):t.rawData.length&&(e.rawData=t.rawData)),t.externalData){if(!Array.isArray(t.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(e.externalData=[],n=0;n<t.externalData.length;++n){if("object"!=typeof t.externalData[n])throw TypeError(".onnx.TensorProto.externalData: object expected");e.externalData[n]=c.onnx.StringStringEntryProto.fromObject(t.externalData[n])}}switch(t.dataLocation){case"DEFAULT":case 0:e.dataLocation=0;break;case"EXTERNAL":case 1:e.dataLocation=1}if(t.doubleData){if(!Array.isArray(t.doubleData))throw TypeError(".onnx.TensorProto.doubleData: array expected");for(e.doubleData=[],n=0;n<t.doubleData.length;++n)e.doubleData[n]=Number(t.doubleData[n])}if(t.uint64Data){if(!Array.isArray(t.uint64Data))throw TypeError(".onnx.TensorProto.uint64Data: array expected");for(e.uint64Data=[],n=0;n<t.uint64Data.length;++n)l.Long?(e.uint64Data[n]=l.Long.fromValue(t.uint64Data[n])).unsigned=!0:"string"==typeof t.uint64Data[n]?e.uint64Data[n]=parseInt(t.uint64Data[n],10):"number"==typeof t.uint64Data[n]?e.uint64Data[n]=t.uint64Data[n]:"object"==typeof t.uint64Data[n]&&(e.uint64Data[n]=new l.LongBits(t.uint64Data[n].low>>>0,t.uint64Data[n].high>>>0).toNumber(!0))}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.dims=[],n.floatData=[],n.int32Data=[],n.stringData=[],n.int64Data=[],n.doubleData=[],n.uint64Data=[],n.externalData=[]),e.defaults&&(n.dataType=0,n.segment=null,n.name="",e.bytes===String?n.rawData="":(n.rawData=[],e.bytes!==Array&&(n.rawData=l.newBuffer(n.rawData))),n.docString="",n.dataLocation=e.enums===String?"DEFAULT":0),t.dims&&t.dims.length){n.dims=[];for(var r=0;r<t.dims.length;++r)"number"==typeof t.dims[r]?n.dims[r]=e.longs===String?String(t.dims[r]):t.dims[r]:n.dims[r]=e.longs===String?l.Long.prototype.toString.call(t.dims[r]):e.longs===Number?new l.LongBits(t.dims[r].low>>>0,t.dims[r].high>>>0).toNumber():t.dims[r]}if(null!=t.dataType&&t.hasOwnProperty("dataType")&&(n.dataType=t.dataType),null!=t.segment&&t.hasOwnProperty("segment")&&(n.segment=c.onnx.TensorProto.Segment.toObject(t.segment,e)),t.floatData&&t.floatData.length)for(n.floatData=[],r=0;r<t.floatData.length;++r)n.floatData[r]=e.json&&!isFinite(t.floatData[r])?String(t.floatData[r]):t.floatData[r];if(t.int32Data&&t.int32Data.length)for(n.int32Data=[],r=0;r<t.int32Data.length;++r)n.int32Data[r]=t.int32Data[r];if(t.stringData&&t.stringData.length)for(n.stringData=[],r=0;r<t.stringData.length;++r)n.stringData[r]=e.bytes===String?l.base64.encode(t.stringData[r],0,t.stringData[r].length):e.bytes===Array?Array.prototype.slice.call(t.stringData[r]):t.stringData[r];if(t.int64Data&&t.int64Data.length)for(n.int64Data=[],r=0;r<t.int64Data.length;++r)"number"==typeof t.int64Data[r]?n.int64Data[r]=e.longs===String?String(t.int64Data[r]):t.int64Data[r]:n.int64Data[r]=e.longs===String?l.Long.prototype.toString.call(t.int64Data[r]):e.longs===Number?new l.LongBits(t.int64Data[r].low>>>0,t.int64Data[r].high>>>0).toNumber():t.int64Data[r];if(null!=t.name&&t.hasOwnProperty("name")&&(n.name=t.name),null!=t.rawData&&t.hasOwnProperty("rawData")&&(n.rawData=e.bytes===String?l.base64.encode(t.rawData,0,t.rawData.length):e.bytes===Array?Array.prototype.slice.call(t.rawData):t.rawData),t.doubleData&&t.doubleData.length)for(n.doubleData=[],r=0;r<t.doubleData.length;++r)n.doubleData[r]=e.json&&!isFinite(t.doubleData[r])?String(t.doubleData[r]):t.doubleData[r];if(t.uint64Data&&t.uint64Data.length)for(n.uint64Data=[],r=0;r<t.uint64Data.length;++r)"number"==typeof t.uint64Data[r]?n.uint64Data[r]=e.longs===String?String(t.uint64Data[r]):t.uint64Data[r]:n.uint64Data[r]=e.longs===String?l.Long.prototype.toString.call(t.uint64Data[r]):e.longs===Number?new l.LongBits(t.uint64Data[r].low>>>0,t.uint64Data[r].high>>>0).toNumber(!0):t.uint64Data[r];if(null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.externalData&&t.externalData.length)for(n.externalData=[],r=0;r<t.externalData.length;++r)n.externalData[r]=c.onnx.StringStringEntryProto.toObject(t.externalData[r],e);return null!=t.dataLocation&&t.hasOwnProperty("dataLocation")&&(n.dataLocation=e.enums===String?c.onnx.TensorProto.DataLocation[t.dataLocation]:t.dataLocation),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,s.util.toJSONOptions)},t.DataType=function(){var t={},e=Object.create(t);return e[t[0]="UNDEFINED"]=0,e[t[1]="FLOAT"]=1,e[t[2]="UINT8"]=2,e[t[3]="INT8"]=3,e[t[4]="UINT16"]=4,e[t[5]="INT16"]=5,e[t[6]="INT32"]=6,e[t[7]="INT64"]=7,e[t[8]="STRING"]=8,e[t[9]="BOOL"]=9,e[t[10]="FLOAT16"]=10,e[t[11]="DOUBLE"]=11,e[t[12]="UINT32"]=12,e[t[13]="UINT64"]=13,e[t[14]="COMPLEX64"]=14,e[t[15]="COMPLEX128"]=15,e[t[16]="BFLOAT16"]=16,e}(),t.Segment=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.begin=l.Long?l.Long.fromBits(0,0,!1):0,t.prototype.end=l.Long?l.Long.fromBits(0,0,!1):0,t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.begin&&t.hasOwnProperty("begin")&&e.uint32(8).int64(t.begin),null!=t.end&&t.hasOwnProperty("end")&&e.uint32(16).int64(t.end),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof a||(t=a.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new c.onnx.TensorProto.Segment;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.begin=t.int64();break;case 2:r.end=t.int64();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof a||(t=new a(t)),this.decode(t,t.uint32())},t.verify=function(t){return"object"!=typeof t||null===t?"object expected":null!=t.begin&&t.hasOwnProperty("begin")&&!(l.isInteger(t.begin)||t.begin&&l.isInteger(t.begin.low)&&l.isInteger(t.begin.high))?"begin: integer|Long expected":null!=t.end&&t.hasOwnProperty("end")&&!(l.isInteger(t.end)||t.end&&l.isInteger(t.end.low)&&l.isInteger(t.end.high))?"end: integer|Long expected":null},t.fromObject=function(t){if(t instanceof c.onnx.TensorProto.Segment)return t;var e=new c.onnx.TensorProto.Segment;return null!=t.begin&&(l.Long?(e.begin=l.Long.fromValue(t.begin)).unsigned=!1:"string"==typeof t.begin?e.begin=parseInt(t.begin,10):"number"==typeof t.begin?e.begin=t.begin:"object"==typeof t.begin&&(e.begin=new 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i.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.offsetToCoords()),this.coordsToOffset()),this.toVec()),this.valueFrom()),this.getCommonUtilFuncs()),this.getInputsSamplingSnippets()),this.getOutputSamplingSnippet())}getCustomTypes(){return{}}offsetToCoords(){return{offsetToCoords:new i.GlslLibRoutine("\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 i.GlslLibRoutine("\n      int coordsToOffset(vec2 coords, int width, int height) {\n        float s = coords.s * float(width);\n        float t = coords.t * float(height);\n        int offset = int(t) * width + int(s);\n        return offset;\n      }\n      ")}}getOutputSamplingSnippet(){const t=this.context.outputTextureLayout;return t.isPacked?this.getPackedOutputSamplingSnippet(t):this.getUnpackedOutputSamplingSnippet(t)}getPackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},s="getOutputCoords";switch(e.length){case 0:r[s]=this.getOutputScalarCoords();break;case 1:r[s]=this.getOutputPacked1DCoords(e,n);break;case 2:r[s]=this.getOutputPacked2DCoords(e,n);break;case 3:r[s]=this.getOutputPacked3DCoords(e,n);break;default:r[s]=this.getOutputPackedNDCoords(e,n)}const a=`\n      void setOutput(vec4 val) {\n        ${(0,o.getGlsl)(this.context.glContext.version).output} = val;\n      }\n    `;return r.floatTextureSetRGBA=new i.GlslLibRoutine(a),r}getUnpackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},s="getOutputCoords";switch(e.length){case 0:r[s]=this.getOutputScalarCoords();break;case 1:r[s]=this.getOutputUnpacked1DCoords(e,n);break;case 2:r[s]=this.getOutputUnpacked2DCoords(e,n);break;case 3:r[s]=this.getOutputUnpacked3DCoords(e,n);break;case 4:r[s]=this.getOutputUnpacked4DCoords(e,n);break;case 5:r[s]=this.getOutputUnpacked5DCoords(e,n);break;case 6:r[s]=this.getOutputUnpacked6DCoords(e,n);break;default:throw new Error(`Unsupported output dimensionality: ${e.length}`)}const a=`\n        void setOutput(float val) {\n          ${(0,o.getGlsl)(this.context.glContext.version).output} = vec4(val, 0, 0, 0);\n        }\n    `;return r.floatTextureSetR=new i.GlslLibRoutine(a),r}getOutputScalarCoords(){return new i.GlslLibRoutine("\n      int getOutputCoords() {\n        return 0;\n      }\n    ")}getOutputPacked1DCoords(t,e){const n=e;let r="";return 1===n[0]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.y * ${n[1]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):1===n[1]?(r=`\n          int getOutputCoords() {\n            return 2 * int(TexCoords.x * ${n[0]}.0);\n          }\n        `,new i.GlslLibRoutine(r)):(r=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                 vec2(${n[0]}, ${n[1]}));\n          return 2 * (resTexRC.y * ${n[0]} + resTexRC.x);\n        }\n      `,new i.GlslLibRoutine(r))}getOutputPacked2DCoords(t,e){let n="";if(r.ArrayUtil.arraysEqual(t,e))return n=`\n        ivec2 getOutputCoords() {\n          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));\n        }\n      `,new i.GlslLibRoutine(n);const o=e,s=Math.ceil(t[1]/2);return n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${o[0]}, ${o[1]}));\n\n          int index = resTexRC.y * ${o[0]} + resTexRC.x;\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${s}) * 2;\n          int c = 2 * (index / ${s});\n\n          return ivec2(r, c);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputPacked3DCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[2]/2),o=r*Math.ceil(t[1]/2),s=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${n[0]}, ${n[1]}));\n          int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n          int b = index / ${o};\n          index -= b * ${o};\n\n          // reverse r and c order for packed texture\n          int r = imod(index, ${r}) * 2;\n          int c = 2 * (index / ${r});\n\n          return ivec3(b, r, c);\n        }\n      `;return new i.GlslLibRoutine(s)}getOutputPackedNDCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2);let s=o,a="",u="b, r, c";for(let e=2;e<t.length-1;e++)s*=t[t.length-e-1],a=`\n      int b${e} = index / ${s};\n      index -= b${e} * ${s};\n    `+a,u=`b${e}, `+u;const l=`\n      ivec${t.length} getOutputCoords() {\n        ivec2 resTexRC = ivec2(TexCoords.xy *\n                              vec2(${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 / ${r});\n\n        return ivec${t.length}(${u});\n      }\n    `;return new i.GlslLibRoutine(l)}getOutputUnpacked1DCoords(t,e){const n=`\n        int getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          return resTexRC.y * ${e[0]} + resTexRC.x;\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked2DCoords(t,e){const n=`\n        ivec2 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          int r = index / ${t[1]};\n          int c = index - r * ${t[1]};\n          return ivec2(r, c);\n        }\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked3DCoords(t,e){let n="";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const s=["r","c","d"],a=o.map(((t,e)=>`int ${s[e]} = index / ${t}; ${e===o.length-1?`int ${s[e+1]} = index - ${s[e]} * ${t}`:`index -= ${s[e]} * ${t}`};`)).join("");return n=`\n        ivec3 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec3(r, c, d);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked4DCoords(t,e){let n="";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const s=["r","c","d","d2"],a=o.map(((t,e)=>`int ${s[e]} = index / ${t}; ${e===o.length-1?`int ${s[e+1]} = index - ${s[e]} * ${t}`:`index -= ${s[e]} * ${t}`};`)).join("");return n=`\n      ivec4 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec4(r, c, d, d2);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked5DCoords(t,e){let n="";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const s=["r","c","d","d2","d3"],a=o.map(((t,e)=>`int ${s[e]} = index / ${t}; ${e===o.length-1?`int ${s[e+1]} = index - ${s[e]} * ${t}`:`index -= ${s[e]} * ${t}`};`)).join("");return n=`\n      ivec5 getOutputCoords() {\n          ivec2 resTexRC = ivec2(TexCoords.xy *\n                                vec2(${e[0]}, ${e[1]}));\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\n          ${a}\n          return ivec5(r, c, d, d2, d3);\n        }\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked6DCoords(t,e){let n="";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const s=["r","c","d","d2","d3","d4"],a=o.map(((t,e)=>`int ${s[e]} = index / ${t}; ${e===o.length-1?`int ${s[e+1]} = index - ${s[e]} * ${t}`:`index -= ${s[e]} * ${t}`};`)).join("");return n=`\n     ivec6 getOutputCoords() {\n         ivec2 resTexRC = ivec2(TexCoords.xy *\n                               vec2(${e[0]}, ${e[1]}));\n         int index = resTexRC.y * ${e[0]} + resTexRC.x;\n         ${a}\n         return ivec6(r, c, d, d2, d3, d4);\n       }\n     `,new i.GlslLibRoutine(n)}getCommonUtilFuncs(){const t={};let e="uvFromFlat";t[e]=new i.GlslLibRoutine("\n    vec2 uvFromFlat(int texNumR, int texNumC, int index) {\n      int texC = index / texNumR;\n      int texR = index - texC * texNumR;\n      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to\n      //       v.\n      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);\n    }\n    "),e="packedUVfrom1D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n        int texelIndex = index / 2;\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="packedUVfrom2D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {\n        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = texelIndex / texNumC;\n        int texC = texelIndex - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="packedUVfrom3D",t[e]=new i.GlslLibRoutine("\n      vec2 packedUVfrom3D(int texNumR, int texNumC,\n          int texelsInBatch, int texelsInLogicalRow, int b,\n          int row, int col) {\n        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n        int texR = index / texNumC;\n        int texC = index - texR * texNumC;\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n      }\n      "),e="sampleTexture";const n=(0,o.getGlsl)(this.context.glContext.version);return t[e]=new i.GlslLibRoutine(`\n        float sampleTexture(sampler2D textureSampler, vec2 uv) {\n            return ${n.texture2D}(textureSampler, uv).r;\n        }`),t}getInputsSamplingSnippets(){const t={},e=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach(((n,r)=>{const i=this.context.inputTextureLayouts[r],o=(0,a.generateShaderFuncNameFromInputSamplerName)(n);i.isPacked?t[o]=this.getPackedSamplerFromInput(o,n,i):t[o]=this.getUnpackedSamplerFromInput(o,n,i);const s=(0,a.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(n);i.unpackedShape.length<=e.unpackedShape.length&&(i.isPacked?t[s]=this.getPackedSamplerAtOutputCoords(s,i,e,n):t[s]=this.getUnpackedSamplerAtOutputCoords(s,i,e,n))})),t}getPackedSamplerAtOutputCoords(t,e,n,o){const s=e.unpackedShape,u=n.unpackedShape,l=o,c=(0,a.generateShaderFuncNameFromInputSamplerName)(l),d=s.length,p=u.length,h=r.BroadcastUtil.getBroadcastDims(s,u),f=(0,a.getCoordsDataType)(p),g=p-d;let b;const m=(0,a.getGlChannels)();b=0===d?"":p<2&&h.length>=1?"coords = 0;":h.map((t=>`coords.${m[t+g]} = 0;`)).join("\n");let y="";y=p<2&&d>0?"coords":s.map(((t,e)=>`coords.${m[e+g]}`)).join(", ");let x="return outputValue;";const _=1===r.ShapeUtil.size(s),w=1===r.ShapeUtil.size(u);if(1!==d||_||w){if(_&&!w)x=1===p?"\n          return vec4(outputValue.x, outputValue.x, 0., 0.);\n        ":"\n          return vec4(outputValue.x);\n        ";else if(h.length){const t=d-2,e=d-1;h.indexOf(t)>-1&&h.indexOf(e)>-1?x="return vec4(outputValue.x);":h.indexOf(t)>-1?x="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":h.indexOf(e)>-1&&(x="return vec4(outputValue.xx, outputValue.zz);")}}else x="\n        return vec4(outputValue.xy, outputValue.xy);\n      ";const v=`\n      vec4 ${t}() {\n        ${f} coords = getOutputCoords();\n        \n        int lastDim = coords.${m[p-1]};\n        coords.${m[p-1]} = coords.${m[p-2]};\n        coords.${m[p-2]} = lastDim;\n      \n        ${b}\n        vec4 outputValue = ${c}(${y});\n        ${x}\n      }\n    `;return new i.GlslLibRoutine(v,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(t,e,n,o){const s=[n.width,n.height],u=[e.width,e.height],l=e.unpackedShape.length,c=n.unpackedShape.length,d=e.unpackedShape,p=n.unpackedShape,h=(0,a.generateShaderFuncNameFromInputSamplerName)(o);if(l===c&&r.ArrayUtil.arraysEqual(u,s)){const e=`\n          float ${t}() {\n            return sampleTexture(${o}, TexCoords);\n          }\n        `;return new i.GlslLibRoutine(e,["coordinates.sampleTexture"])}const f=(0,a.getCoordsDataType)(c),g=r.BroadcastUtil.getBroadcastDims(d,p),b=c-l;let m;const y=(0,a.getGlChannels)();m=0===l?"":c<2&&g.length>=1?"coords = 0;":g.map((t=>`coords.${y[t+b]} = 0;`)).join("\n");let x="";x=c<2&&l>0?"coords":e.unpackedShape.map(((t,e)=>`coords.${y[e+b]}`)).join(", ");const _=`\n        float ${t}() {\n          ${f} coords = getOutputCoords();\n          ${m}\n          return ${h}(${x});\n        }\n      `;return new i.GlslLibRoutine(_,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(t,e,n){switch(n.unpackedShape.length){case 0:return this.getPackedSamplerScalar(t,e);case 1:return this.getPackedSampler1D(t,e,n);case 2:return this.getPackedSampler2D(t,e,n);case 3:return this.getPackedSampler3D(t,e,n);default:return this.getPackedSamplerND(t,e,n)}}getUnpackedSamplerFromInput(t,e,n){const r=n.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(t,e,n);case 1:return this.getUnpackedSampler1D(t,e,n);case 2:return this.getUnpackedSampler2D(t,e,n);case 3:return this.getUnpackedSampler3D(t,e,n);case 4:return this.getUnpackedSampler4D(t,e,n);case 5:return this.getUnpackedSampler5D(t,e,n);case 6:return this.getUnpackedSampler6D(t,e,n);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(t,e){const n=`\n          vec4 ${t}() {\n            return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${e}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n)}getPackedSampler1D(t,e,n){const r=[n.width,n.height],s=[r[1],r[0]],a=(0,o.getGlsl)(this.context.glContext.version),u=`vec4 ${t}(int index) {\n      vec2 uv = packedUVfrom1D(\n      ${s[0]}, ${s[1]}, index);\n      return ${a.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(u,["coordinates.packedUVfrom1D"])}getPackedSampler2D(t,e,n){const s=n.unpackedShape,a=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),l=a[0],c=a[1];if(null!=a&&r.ArrayUtil.arraysEqual(s,a)){const n=`vec4 ${t}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${c}.0, ${l}.0);\n        return ${u.texture2D}(${e}, uv);\n      }`;return new i.GlslLibRoutine(n)}const d=a,p=Math.ceil(s[1]/2),h=`vec4 ${t}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${d[1]}, ${d[0]}, ${p}, row, col);\n      return ${u.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(h,["coordinates.packedUVfrom2D"])}getPackedSampler3D(t,e,n){const r=n.unpackedShape,s=[n.width,n.height],u=[s[0],s[1]],l=(0,o.getGlsl)(this.context.glContext.version);if(1===r[0]){const o=r.slice(1),s=[1,2],u=(0,a.squeezeInputShape)(r,o),l=["b","row","col"],c=JSON.parse(JSON.stringify(n));c.unpackedShape=u;const d=this.getPackedSamplerFromInput(t,e,c),p=`${d.routineBody}\n      vec4 ${t}(int b, int row, int col) {\n        return ${t}(${(0,a.getSqueezedParams)(l,s)});\n      } `;return new i.GlslLibRoutine(p,d.dependencies)}const c=u[0],d=u[1],p=Math.ceil(r[2]/2),h=`vec4 ${t}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${d}, ${c}, ${p*Math.ceil(r[1]/2)}, ${p}, b, row, col);\n      return ${l.texture2D}(${e}, uv);}`;return new i.GlslLibRoutine(h,["coordinates.packedUVfrom3D"])}getPackedSamplerND(t,e,n){const r=n.unpackedShape,s=r.length,a=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),l=[a[0],a[1]],c=l[1],d=l[0],p=Math.ceil(r[s-1]/2);let h=p*Math.ceil(r[s-2]/2),f="int b, int row, int col",g=`b * ${h} + (row / 2) * ${p} + (col / 2)`;for(let t=2;t<s-1;t++)f=`int b${t}, `+f,h*=r[s-t-1],g=`b${t} * ${h} + `+g;const b=`vec4 ${t}(${f}) {\n      int index = ${g};\n      int texR = index / ${d};\n      int texC = index - texR * ${d};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${d}, ${c});\n      return ${u.texture2D}(${e}, uv);\n    }`;return new i.GlslLibRoutine(b)}getUnpackedSamplerScalar(t,e,n){const[r,o]=[n.width,n.height];if(1===r&&1===o){const n=`\n          float ${t}() {\n            return sampleTexture(${e}, halfCR);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const s=`\n        float ${t}() {\n          int offset_${e} = coordsToOffset(TexCoords, ${r}, ${o});\n          vec2 uv = uvFromFlat(${r}, ${o}, offset_${e});\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(s,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(t,e,n){const r=n.width,o=n.height;if(1===o&&1===r){const n=`\n        float ${t}(int index) {\n          return sampleTexture(${e}, halfCR);\n        }\n      `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===o){const n=`\n          float ${t}(int index) {\n            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}if(1===r){const n=`\n          float ${t}(int index) {\n            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${o}.0);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const s=`\n        float ${t}(int index) {\n          vec2 uv = uvFromFlat(${r}, ${o}, index);\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(s,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler2D(t,e,n){const o=n.unpackedShape,u=[n.height,n.width];if(null!=u&&r.ArrayUtil.arraysEqual(o,u)){const n=`\n          float ${t}(int row, int col) {\n            vec2 uv = (vec2(row, col) + halfCR) / vec2(${u[1]}.0, ${u[0]}.0);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture"])}const{newShape:l,keptDims:c}=(0,s.squeezeShape)(o),d=l;if(d.length<o.length){const r=(0,a.squeezeInputShape)(o,d),s=JSON.parse(JSON.stringify(n));s.unpackedShape=r;const u=["col","row"],l=`\n          ${this.getUnpackedSamplerFromInput(t,e,s).routineBody}\n          float ${t}(int row, int col) {\n            return ${t}(${(0,a.getSqueezedParams)(u,c)});\n          }\n        `;return new i.GlslLibRoutine(l,["coordinates.sampleTexture"])}const p=u[1],h=u[0];if(1===h){const n=`\n          float ${t}(int row, int col) {\n            int offset_${e} = coordsToOffset(TexCoords, ${p}, ${h});\n            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));\n            vec2 uv = vec2(0.5, (index + 0.5) / ${p}.0);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(1===p){const n=`\n          float ${t}(int row, int col) {\n            int offset_${e} = coordsToOffset(TexCoords, ${p}, ${h});\n            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));\n            vec2 uv = vec2((index + 0.5) / ${h}.0, 0.5);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}const f=`\n        float ${t}(int row, int col) {\n          int index = col * ${o[1]} + row;\n          vec2 uv = uvFromFlat(${p}, ${h}, index);\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(f,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler3D(t,e,n){const r=n.unpackedShape,o=r[1]*r[2],u=r[2],{newShape:l,keptDims:c}=(0,s.squeezeShape)(r),d=l;if(d.length<r.length){const o=(0,a.squeezeInputShape)(r,d),s=["batch","col","row"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const l=this.getUnpackedSamplerFromInput(t,e,u),p=c.reverse(),h=`\n          ${l.routineBody}\n          float ${t}(int batch, int row, int col) {\n            return ${t}(${(0,a.getSqueezedParams)(s,p)});\n          }\n        `;return new i.GlslLibRoutine(h,l.dependencies)}const p=`\n          float ${t}(int depth, int row, int col) {\n            // Explicitly use integer operations as dot() only works on floats.\n            int index = depth * ${o} + col * ${u} + row;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${e}, uv);\n          }\n      `;return new i.GlslLibRoutine(p,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(t,e,n){const r=n.unpackedShape,o=r[3],s=r[2]*o,a=`\n        float ${t}(int row, int col, int depth, int depth2) {\n          int index = row * ${r[1]*s} + col * ${s} +\n              depth2 * ${o} + depth;\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n          return sampleTexture(${e}, uv);\n        }\n      `;return new i.GlslLibRoutine(a,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(t,e,n){const r=n.unpackedShape,o=r[4],u=r[3]*o,l=r[2]*u,c=r[1]*l,{newShape:d,keptDims:p}=(0,s.squeezeShape)(r);if(d.length<r.length){const o=(0,a.squeezeInputShape)(r,d),s=["row","col","depth","depth2","depth3"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const l=`\n          ${this.getUnpackedSamplerFromInput(t,e,u).routineBody}\n          float ${t}(int row, int col, int depth, int depth2, int depth3) {\n            return ${t}(${(0,a.getSqueezedParams)(s,p)});\n          }\n        `;return new i.GlslLibRoutine(l,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const h=`\n        float ${t}(int row, int col, int depth, int depth2, int depth3) {\n          int index = row * ${c} + col * ${l} + depth * ${u} +\n          depth3 * ${o} + depth2;\n          vec2 uv = 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+ col * ${c} + depth * ${l} +\n            depth2 * ${u} + depth3 * ${o} + depth4;\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\n            return sampleTexture(${e}, uv);\n          }\n        `;return new i.GlslLibRoutine(f,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}toVec(){const t=this.context.outputTextureLayout,e=t.shape.length,n=t.strides,r=t.width,o=t.height,s=[];for(let t=0;t<e-1;++t)s.push(`\n        c[${t}] = offset / ${n[t]};`),s.push(`\n        offset -= c[${t}] * ${n[t]};`);s.push(`\n        c[${e-1}] = offset;`);const a=`\n      void toVec(vec2 texCoords, out int c[${e}]) {\n        int offset = coordsToOffset(texCoords, ${r}, ${o});\n        ${s.join("")}\n      }\n      void toVec(int offset, out int c[${e}]) {\n        ${s.join("")}\n      }\n    `;return{toVec:new i.GlslLibRoutine(a,["coordinates.coordsToOffset"])}}valueFrom(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const r=this.context.inputTextureLayouts[n],o=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length;let s=`_${e}`;t[s]=new i.GlslLibRoutine(this.getValueFromSingle(e,o,r.width,r.height,!1),[`shapeUtils.indicesToOffset${s}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),s+="_T",t[s]=new i.GlslLibRoutine(this.getValueFromSingle(e,o,r.width,r.height,!0),[`shapeUtils.indicesToOffset${s}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])})),t}getValueFromSingle(t,e,n,r,i){let s=`_${t}`;return i&&(s+="_T"),`\n        float ${s}(int m[${e}]) {\n          int offset = indicesToOffset${s}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          float value = getColorAsFloat(${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${t}, coords));\n          return value;\n        }\n        `}getPackedValueFrom(t,e,n,r,i){let s=`_${t}_Pack`;return i&&(s+="_T"),`\n        vec4 ${s}(int m[${e}]) {\n          int offset = indicesToOffset_${t}(m);\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\n          return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${t}, coords);\n        }\n        `}}e.CoordsGlslLib=u},8520:(t,e)=>{"use strict";var n;Object.defineProperty(e,"__esModule",{value:!0}),e.TopologicalSortGlslRoutines=e.GlslLibRoutineNode=e.GlslLibRoutine=e.GlslLib=e.GlslContext=e.FunctionType=void 0,(n=e.FunctionType||(e.FunctionType={}))[n.ValueBased=0]="ValueBased",n[n.Positional=1]="Positional",e.GlslContext=class{constructor(t,e,n,r){this.glContext=t,this.programInfo=e,this.inputTextureLayouts=n,this.outputTextureLayout=r}},e.GlslLib=class{constructor(t){this.context=t}},e.GlslLibRoutine=class{constructor(t,e){this.routineBody=t,this.dependencies=e}},e.GlslLibRoutineNode=class{constructor(t,e,n){this.name=t,this.dependencies=n||[],e&&(this.routineBody=e)}addDependency(t){t&&this.dependencies.push(t)}},e.TopologicalSortGlslRoutines=class{static returnOrderedNodes(t){if(!t||0===t.length)return[];if(1===t.length)return t;const e=new Set,n=new Set,r=new Array;return this.createOrderedNodes(t,e,n,r),r}static createOrderedNodes(t,e,n,r){for(let i=0;i<t.length;++i)this.dfsTraverse(t[i],e,n,r)}static dfsTraverse(t,e,n,r){if(!t||n.has(t.name))return;if(e.has(t.name))throw new Error("Cyclic dependency detected. Can't topologically sort routines needed for shader.");e.add(t.name);const i=t.dependencies;if(i&&i.length>0)for(let t=0;t<i.length;++t)this.dfsTraverse(i[t],e,n,r);r.push(t),n.add(t.name),e.delete(t.name)}}},7341:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.EncodingGlslLib=void 0;const r=n(8520);class i extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new r.GlslLibRoutine("highp vec4 encode(highp float f) {\n        return vec4(f, 0.0, 0.0, 0.0);\n      }\n        ")}}decodeFloat32(){return{decode:new r.GlslLibRoutine("highp float decode(highp vec4 rgba) {\n        return rgba.r;\n      }\n        ")}}encodeUint8(){const t=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new r.GlslLibRoutine(`\n      highp vec4 encode(highp float f) {\n        highp float F = abs(f);\n        highp float Sign = 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step(128.0,rgba[1]) - 127.0;\n          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);\n          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));\n          return Result;\n      }\n        `)}}static isLittleEndian(){const t=new ArrayBuffer(4),e=new Uint32Array(t),n=new Uint8Array(t);if(e[0]=3735928559,239===n[0])return!0;if(222===n[0])return!1;throw new Error("unknown endianness")}}e.EncodingGlslLib=i},9894:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.FragColorGlslLib=void 0;const r=n(8520),i=n(5060);class o extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign({},this.setFragColor()),this.getColorAsFloat())}getCustomTypes(){return{}}setFragColor(){const t=(0,i.getGlsl)(this.context.glContext.version);return{setFragColor:new r.GlslLibRoutine(`\n        void setFragColor(float value) {\n            ${t.output} = encode(value);\n        }\n        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new r.GlslLibRoutine("\n        float getColorAsFloat(vec4 color) {\n            return decode(color);\n        }\n        ",["encoding.decode"])}}}e.FragColorGlslLib=o},2848:(t,e)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.replaceInlines=void 0;const n=/@inline[\s\n\r]+(\w+)[\s\n\r]+([0-9a-zA-Z_]+)\s*\(([^)]*)\)\s*{(([^}]|[\n\r])*)}/gm;e.replaceInlines=function(t){const e={};let r;for(;null!==(r=n.exec(t));){const t=r[3].split(",").map((t=>{const e=t.trim().split(" ");return e&&2===e.length?{type:e[0],name:e[1]}:null})).filter((t=>null!==t));e[r[2]]={params:t,body:r[4]}}for(const n in e){const i="(\\w+)?\\s+([_0-9a-zA-Z]+)\\s+=\\s+__FUNC__\\((.*)\\)\\s*;".replace("__FUNC__",n),o=new RegExp(i,"gm");for(;null!==(r=o.exec(t));){const i=r[1],o=r[2],s=r[3].split(","),a=i?`${i} ${o};`:"";let u=e[n].body,l="";e[n].params.forEach(((t,e)=>{t&&(l+=`${t.type} ${t.name} = ${s[e]};\n`)})),u=`${l}\n 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t=this.context.programInfo;let e=t.shaderSource;return this.context.programInfo.hasMain||(e=`${e}\n      ${(0,s.getDefaultFragShaderMain)(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),e=(0,i.replaceInlines)(e),`${(0,s.getFragShaderPreamble)(this.context.glContext.version)}\n    ${this.getUniforms(t.inputNames,t.variables)}\n    ${this.getImports(e)}\n    ${e}`}getImports(t){const e=this.selectGlslLibRoutinesToBeIncluded(t);if(0===e.length)return"";let n="";for(let t=0;t<e.length;++t){if(!e[t].routineBody)throw new Error(`Missing body for the Glsl Library routine: ${e[t].name}`);n+=e[t].routineBody+"\n"}return n}selectGlslLibRoutinesToBeIncluded(t){const e=[];return Object.keys(this.glslLibRoutineDependencyGraph).forEach((n=>{const r=n.split(".")[1];-1!==t.indexOf(r)&&e.push(this.glslLibRoutineDependencyGraph[n])})),r.TopologicalSortGlslRoutines.returnOrderedNodes(e)}getUniforms(t,e){const n=[];if(t)for(const e of t)n.push(`uniform sampler2D 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o=this.context.inputTextureLayouts[i].unpackedShape;if(o.length<=t){const i=o.length,s=t-i,a=`bcastIndices_${n}`;let u="";for(let t=0;t<i;++t)u+=`\n          realIndices[${t}] = int( mod(float(bcastedIndices[${s+t}]), ${o[t]}.0) );\n          `;const l=`\n        void ${a} (int bcastedIndices[${t}], out int realIndices[${i}]) {\n          ${u}\n        }\n        `;e[a]=new r.GlslLibRoutine(l)}})),e}bcastMatmulIndex(){const t=this.context.outputTextureLayout.shape.length,e={};return this.context.programInfo.inputNames.forEach(((n,i)=>{const o=this.context.inputTextureLayouts[i].shape;if(!(o.length<2||o.length>t)){const i=o.length,s=t-i,a=`bcastMatmulIndices_${n}`;let u="";for(let t=0;t<i-2;++t)u+=`\n          realIndices[${t}] = int( mod(float(bcastedIndices[${s+t}]), ${o[t]}.0) );\n          `;const l=`\n        void ${a}(int bcastedIndices[${t}], out int realIndices[${i}]) {\n          ${u}\n          realIndices[${i-1}] = bcastedIndices[${t-1}];\n          realIndices[${i-2}] = bcastedIndices[${t-2}];\n        }\n        `;e[a]=new r.GlslLibRoutine(l)}})),e}indicesToOffset(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const o=this.context.inputTextureLayouts[n].shape,s=this.context.inputTextureLayouts[n].strides,a=o.length;let u=`indicesToOffset_${e}`;t[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,a,s)),u=`indicesToOffset_${e}_T`,t[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,a,s.slice().reverse()))})),t}static indexToOffsetSingle(t,e,n){let r="";for(let t=e-1;t>=0;--t)r+=`\n        offset += indices[${t}] * ${n[t]};\n        `;return`\n      int ${t}(int indices[${e}]) {\n        int offset = 0;\n        ${r}\n        return offset;\n      }\n      `}offsetToIndices(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const o=this.context.inputTextureLayouts[n].shape,s=this.context.inputTextureLayouts[n].strides,a=o.length;let u=`offsetToIndices_${e}`;t[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,a,s)),u=`offsetToIndices_${e}_T`,t[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,a,s.slice().reverse()))})),t}static offsetToIndicesSingle(t,e,n){const r=[];for(let t=0;t<e-1;++t)r.push(`\n      indices[${t}] = offset / ${n[t]};`),r.push(`\n        offset -= indices[${t}] * ${n[t]};`);return r.push(`\n      indices[${e-1}] = offset;`),`\n      void ${t}(int offset, out int indices[${e}]) {\n        ${r.join("")}\n      }\n      `}incrementIndices(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const i=this.context.inputTextureLayouts[n].shape,o=i.length,s=`incrementIndices_${e}`;let a="";for(let t=0;t<o;++t)a+=`\n        shape[${t}] = ${i[t]};`;const u=`\n        void ${s}(int axis, out int indices[${o}]) {\n          int shape[${o}];\n          ${a};\n          for(int i = ${o} -1 ; i >= 0; --i) {\n            if(i > axis) continue;\n            indices[i] += 1;\n            if(indices[i] < shape[i]) {\n              break;\n            }\n            indices[i] = 0;\n          }\n        }\n        `;t[s]=new r.GlslLibRoutine(u)})),t}}e.ShapeUtilsGlslLib=i},5060:(t,e)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.getDefaultFragShaderMain=e.getFragShaderPreamble=e.getVertexShaderSource=e.getGlsl=void 0;const n={version:"",attribute:"attribute",varyingVertex:"varying",varyingFrag:"varying",texture2D:"texture2D",output:"gl_FragColor",outputDeclaration:""},r={version:"#version 300 es",attribute:"in",varyingVertex:"out",varyingFrag:"in",texture2D:"texture",output:"outputColor",outputDeclaration:"out vec4 outputColor;"};function i(t){return 1===t?n:r}e.getGlsl=i,e.getVertexShaderSource=function(t){const e=i(t);return`${e.version}\n      precision highp float;\n      ${e.attribute} vec3 position;\n      ${e.attribute} vec2 textureCoord;\n\n      ${e.varyingVertex} vec2 TexCoords;\n\n      void main()\n      {\n          gl_Position = vec4(position, 1.0);\n          TexCoords = 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t="less_";return{body:`\n  float ${t}(float a, float b) {\n    return float(a < b);\n  }\n  vec4 ${t}(vec4 v1, vec4 v2) {\n    return vec4( v1.r < v2.r ,\n                v1.g < v2.g,\n                v1.b < v2.b,\n                v1.a < v2.a );\n  }\n  `,name:t,type:i.FunctionType.ValueBased}}function f(){const t="and_";return{body:`\n  float ${t}(float a, float b) {\n    return float( bool(a) && bool(b) );\n  }\n  vec4 ${t}(vec4 v1, vec4 v2) {\n    bvec4 b1 = bvec4(v1);\n    bvec4 b2 = bvec4(v2);\n    return vec4( b1.r && b2.r ,\n                b1.g && b2.g,\n                b1.b && b2.b,\n                b1.a && b2.a );\n  }\n  `,name:t,type:i.FunctionType.ValueBased}}function g(){const t="or_";return{body:`\n  float ${t}(float a, float b) {\n    return float( bool(a) || bool(b) );\n  }\n  vec4 ${t}(vec4 v1, vec4 v2) {\n    bvec4 b1 = bvec4(v1);\n    bvec4 b2 = bvec4(v2);\n    return vec4( b1.r || b2.r ,\n                b1.g || b2.g,\n                b1.b || b2.b,\n                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 int output_channel = coords.y;\n    ivec2 xRCCorner = coords.zw * strides - pads;\n    int group_id = output_channel / ${p};\n\n    float value = 0.0;\n    for (int wInChannel = 0; wInChannel < ${d[1]}; wInChannel++) {\n      int input_channel = group_id * ${d[1]} + wInChannel;\n      for (int wHeight = 0; wHeight < ${d[2]}; wHeight++) {\n        int xHeight = xRCCorner.x + wHeight * ${u.dilations[0]};\n\n        if (xHeight < 0 || xHeight >= ${c[2]}) {\n          continue;\n        }\n\n        for (int wWidth = 0; wWidth < ${d[3]}; wWidth++) {\n          int xWidth = xRCCorner.y + wWidth * ${u.dilations[1]};\n          if (xWidth < 0 || xWidth >= ${c[3]}) {\n            continue;\n          }\n\n          float xVal = getX(batch, input_channel, xWidth, xHeight);\n          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);\n          value += xVal*wVal;\n        }\n      }\n    }\n    ${l}\n    ${b}\n    ${f.output} = vec4(value, .0, .0, .0);\n  }\n`;return 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t.reshapePacked(p,u)}},9663:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseConvTransposeAttributes=e.convTranspose=void 0;const r=n(246),i=n(5060),o=n(2039),s=n(2823),a=(t,e,n,r,i,o)=>(t-1)*e+n+(r-1)*i+1-o,u=(t,e,n,r,i)=>{const o=Math.floor(t/2);"SAME_UPPER"===e?(n[r]=o,n[i]=t-o):"SAME_LOWER"===e&&(n[r]=t-o,n[i]=o)};e.convTranspose=(t,e,n)=>(p(e,n),l(t,e,n));const l=(t,e,n)=>{const r=d(n,e);return[c(t,e,r)]},c=(t,e,n)=>t.run(((t,e,n)=>{const r=(a=e.length>2,u=n.cacheKey,{name:"ConvTranspose",inputNames:a?["X","W","B"]:["X","W"],inputTypes:a?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],cacheHint:u});var a,u;return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const a=e.length>2?"getB(output_channel)":"0.0",u=e[0].dims,l=e[1].dims,c=l[1],d=l[0]/r.group,p=[e[0].dims[0],e[1].dims[1]*r.group,...r.outputShape],h=(0,i.getGlsl)(t.session.backend.glContext.version),{activationFunction:f,applyActivation:g}=(0,s.getActivationSnippet)(r),b=`\n  const ivec2 strides = ivec2(${r.strides[0]}, ${r.strides[1]});\n  const ivec2 pads = ivec2(${r.pads[0]}, ${r.pads[1]});\n  ${f}\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 / ${c};\n    int wOutChannel = output_channel - group_id * ${c};\n\n    float value = ${a};\n    for (int inChannelOffset = 0; inChannelOffset < ${d}; inChannelOffset++) {\n      int input_channel = group_id * ${d} + inChannelOffset;\n      for (int wWOff = 0; wWOff < ${l[2]}; wWOff++) {\n        for (int wHOff = 0; wHOff < ${l[3]}; wHOff++) {\n          ivec2 wOff = ivec2(wWOff * ${r.dilations[0]}, wHOff * ${r.dilations[1]});\n          ivec2 wLoc = loc - wOff;\n          ivec2 wLocIn = wLoc / strides;\n          if (\n            wLocIn * strides == wLoc &&\n            wLocIn.x >= 0 && wLocIn.x < ${u[2]} &&\n            wLocIn.y >= 0 && wLocIn.y < ${u[3]}\n          ) {\n            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);\n            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);\n            value += xVal * wVal;\n          }\n        }\n      }\n    }\n    ${g}\n    ${h.output} = vec4(value, .0, .0, .0);\n  }\n`;return Object.assign(Object.assign({},n),{output:{dims:p,type:e[0].type,textureType:o.TextureType.unpacked},shaderSource:b,hasMain:!0})})(t,e,r,n)})})(t,e,n),e),d=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice(),i=t.outputShape.slice();((t,e,n,r,i,o,s,l)=>{const c=t.length-2,d=0===l.length;for(let p=0;p<c;++p){const h=d?t[p+2]*o[p]:l[p],f=a(t[p+2],o[p],i[p],e[p],n[p],h);u(f,r,i,p,p+c),d&&l.push(o[p]*(t[p+2]-1)+s[p]+(e[p]-1)*n[p]+1-i[p]-i[p+c])}})(e[0].dims,n,t.dilations,t.autoPad,r,t.strides,t.outputPadding,i);const o=Object.assign({},t);return Object.assign(o,{kernelShape:n,pads:r,outputShape:i,cacheKey:t.cacheKey}),o};e.parseConvTransposeAttributes=t=>{const e=t.attributes,n=(0,s.parseInternalActivationAttributes)(e),i=e.getString("auto_pad","NOTSET"),o=e.getInts("dilations",[1,1]),a=e.getInt("group",1),u=e.getInts("kernel_shape",[]),l=e.getInts("output_padding",[0,0]),c=e.getInts("output_shape",[]),d=e.getInts("pads",[0,0,0,0]),p=e.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:a,kernelShape:u,outputPadding:l,outputShape:c,pads:d,strides:p},n))};const p=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(t[0].dims[1]!==t[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");const n=t[1].dims[1]*e.group;if(3===t.length&&(1!==t[2].dims.length||t[2].dims[0]!==n))throw new Error("invalid bias");const r=t[0].dims.length-2;if(e.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(e.strides.length!==r)throw new Error(`strides should be ${r}D`);if(e.pads.length!==2*r)throw new Error(`pads should be ${2*r}D`);if(e.outputPadding.length!==r)throw new Error(`output_padding should be ${r}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if(0!==e.outputShape.length&&e.outputShape.length!==t[0].dims.length-2)throw new Error("invalid output shape");if("float32"!==t[0].type||"float32"!==t[1].type)throw new Error("ConvTranspose input(X,W) should be float tensor");if(3===t.length&&"float32"!==t[2].type)throw new Error("ConvTranspose input(bias) should be float tensor")}},8138:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseConvAttributes=e.conv=e.calculateOutputShape=void 0;const r=n(246),i=n(2517),o=n(4770),s=n(1386),a=n(9828),u=n(2823),l=n(3248),c=n(5623);e.calculateOutputShape=(t,e,n,r,i)=>{const o=t[0],s=t.slice(2),a=s.length,u=e[0],l=e.slice(2).map(((t,e)=>t+(t-1)*(n[e]-1))),c=s.map(((t,e)=>t+r[e]+r[e+a])).map(((t,e)=>Math.floor((t-l[e]+i[e])/i[e])));return[o,u].concat(...c)},e.conv=(t,e,n)=>(g(e,n),d(t,e,n));const d=(t,e,n)=>{const r=f(n,e),i=t.session.pack,a=1===r.kernelShape[0]&&1===r.kernelShape[1];return r.group>1?[t.run((0,o.createUnpackedGroupedConvProgramInfoLoader)(t,e,r),e)]:a&&i?[p(t,e,r)]:i&&4===e[0].dims.length&&1===e[0].dims[0]&&!a?[(0,s.conv2DPacked)(t,e,r)]:[h(t,e,r)]},p=(t,n,r)=>{const i=n[0].dims,o=n[1].dims,s=(0,e.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),a=t.reshapeUnpacked(n[0],[i[1],i[2]*i[3]]),u=t.reshapeUnpacked(n[1],[o[0],o[1]]),l=n.length>2?[u,a,n[2]]:[u,a],d=t.run((0,c.createMatmulProgramInfoLoader)(l,r),l);return t.reshapeUnpacked(d,s)},h=(t,n,r)=>{const i=n[0].dims,o=n[1].dims,s=(0,e.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),u=t.run((0,l.createIm2ColProgramInfoLoader)(t,n[0],n[1],s,r),[n[0]]),c=3===n.length?[u,n[1],n[2]]:[u,n[1]];return t.run((0,a.createDotProductProgramInfoLoader)(t,n,s,r),c)},f=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice();i.PoolConvUtil.adjustPadsBasedOnAutoPad(e[0].dims,t.strides,t.dilations,n,r,t.autoPad);const o=Object.assign({},t);return Object.assign(o,{kernelShape:n,pads:r,cacheKey:t.cacheKey}),o};e.parseConvAttributes=t=>{const e=t.attributes,n=(0,u.parseInternalActivationAttributes)(e),i=e.getString("auto_pad","NOTSET"),o=e.getInts("dilations",[1,1]),s=e.getInt("group",1),a=e.getInts("kernel_shape",[]),l=e.getInts("pads",[0,0,0,0]),c=e.getInts("strides",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:s,kernelShape:a,pads:l,strides:c},n))};const g=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Conv requires 2 or 3 inputs");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error("currently only support 2-dimensional conv");if(t[0].dims[1]!==t[1].dims[1]*e.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(3===t.length&&(1!==t[2].dims.length||t[1].dims[0]!==t[2].dims[0]))throw new Error("invalid bias");const n=t[0].dims.length-2;if(e.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(e.strides.length!==n)throw new Error(`strides should be ${n}D`);if(e.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if("float32"!==t[0].type||"float32"!==t[1].type)throw new Error("Conv input(X,W) should be float tensor");if(3===t.length&&"float32"!==t[2].type)throw new Error("Conv input(bias) should be float tensor")}},5193:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseDepthToSpaceAttributes=e.depthToSpace=void 0;const r=n(3738);e.depthToSpace=(t,e,n)=>{i(e);const o=n.blocksize,s=o*o,a="DCR"===n.mode?[0,3,4,1,5,2]:[0,1,4,2,5,3],u="DCR"===n.mode?[e[0].dims[0],o,o,e[0].dims[1]/s,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/s,o,o,e[0].dims[2],e[0].dims[3]],l=t.reshapeUnpacked(e[0],u),c={perm:a,cacheKey:`${a}`},[d]=(0,r.transpose)(t,[l],c),p=[e[0].dims[0],e[0].dims[1]/s,e[0].dims[2]*o,e[0].dims[3]*o];return[t.reshapeUnpacked(d,p)]},e.parseDepthToSpaceAttributes=t=>{const e=t.attributes.getInt("blocksize");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);const n=t.attributes.getString("mode","DCR");if("DCR"!==n&&"CRD"!==n)throw new Error(`unrecognized mode: ${n} for DepthToSpace`);return{mode:n,blocksize:e}};const i=t=>{if(1!==t.length)throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);if("string"===t[0].type||4!==t[0].dims.length)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}},9828:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.createDotProductProgramInfoLoader=void 0;const r=n(2517),i=n(5060),o=n(2039),s=n(2823),a=n(3248);e.createDotProductProgramInfoLoader=(t,e,n,u)=>{const l=((t,e)=>({name:"ConvDotProduct",inputNames:t?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:t?[o.TextureType.unpacked,o.TextureType.packedLastDimension,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.packedLastDimension],cacheKey:e.activationCacheKey}))(e.length>2,u);return Object.assign(Object.assign({},l),{get:()=>((t,e,n,u,l)=>{const c=n[0].dims,d=n[1].dims,p=[d[0],Math.ceil(c[1]*d[2]*d[3]/4)],h=(0,a.calculateIm2ColDims)(c,d,u),[f,g]=t.calculateTextureWidthAndHeight(p,o.TextureType.packedLastDimension),b=r.ShapeUtil.computeStrides(h),[m,y]=t.calculateTextureWidthAndHeight(h,o.TextureType.packedLastDimension),x=u.length,_=n.length<3?"0.0":"_B(b)",w=Math.ceil(c[1]*d[2]*d[3]/4),{activationFunction:v,applyActivation:T}=(0,s.getActivationSnippet)(l),S=(0,i.getGlsl)(t.session.backend.glContext.version),I=`\n${v}\nfloat process(int indices[${x}]) {\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] * ${b[0]} + im2col[1] * ${b[1]} + im2col[2] * ${b[2]};\n  int kernelOffset = indices[1] * ${p[1]};\n  float value = ${_};\n  for (int i = 0; i < ${w}; ++i) {\n    vec2 im2colCoords = offsetToCoords(im2colOffset, ${m}, ${y});\n    vec2 kernelCoords = offsetToCoords(kernelOffset, ${f}, ${g});\n    value += dot(${S.texture2D}(Im2Col, im2colCoords), ${S.texture2D}(K, kernelCoords));\n    ++im2colOffset;\n    ++kernelOffset;\n  }\n  ${T}\n  return value;\n}`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:o.TextureType.unpacked},shaderSource:I})})(t,l,e,n,u)})}},7992:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseFlattenAttributes=e.flatten=void 0;const r=n(2517);e.flatten=(t,e,n)=>{i(e,n);const o=r.ShapeUtil.flattenShape(e[0].dims,n);return[t.reshapeUnpacked(e[0],o)]},e.parseFlattenAttributes=t=>t.attributes.getInt("axis",1);const i=(t,e)=>{if(!t||1!==t.length)throw new Error("Flatten requires 1 input.");const n=t[0].dims.length;if(0===n)throw new Error("scalar tensor is not supported.");if(e<-n||e>n)throw new Error("Invalid axis");if("string"===t[0].type)throw new Error("string tensor is not supported.")}},2823:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseInternalActivationAttributes=e.getActivationSnippet=void 0;const r=n(2517),i=n(4909);e.getActivationSnippet=function(t){let e;switch(t.activation){case"Relu":e=(0,i.glslRelu)();break;case"Sigmoid":e=(0,i.glslSigmoid)();break;case"Clip":e=(0,i.glslClip)(t.clipMin,t.clipMax);break;default:return{activationFunction:"",applyActivation:""}}const n=e.name;return{activationFunction:e.body,applyActivation:`value = ${n}_(value);`}},e.parseInternalActivationAttributes=t=>{const e=t.getString("activation","");if("Clip"===e){const[n,i]=t.getFloats("activation_params",[r.MIN_CLIP,r.MAX_CLIP]);return{activation:e,clipMax:i,clipMin:n,activationCacheKey:`${e}:${n},${i}`}}return{activation:e,activationCacheKey:e}}},1253:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseGatherAttributes=e.gather=void 0;const r=n(246),i=n(782),o=n(2517),s=n(2039);e.gather=(t,e,n)=>(l(e,n.axis),[t.run(u(t,e,n),e)]),e.parseGatherAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",0)});const a={name:"Gather",inputNames:["A","B"],inputTypes:[s.TextureType.unpacked,s.TextureType.unpacked]},u=(t,e,n)=>{const r=Object.assign(Object.assign({},a),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const i=n[0].dims.slice(),a=n[1].dims.slice(),u=new Array(i.length+a.length-1);r=o.ShapeUtil.normalizeAxis(r,i.length);const l=[];for(let t=0;t<u.length;t++)t<r?(u[t]=i[t],l.push(`inputIdx[${t}] = outputIdx[${t}];`)):t<r+a.length?(u[t]=a[t-r],l.push(`indexDataIdx[${t-r}] = outputIdx[${t}];`)):(u[t]=i[t-a.length+1],l.push(`inputIdx[${t-a.length+1}] = outputIdx[${t}];`));const c=`\n      float process(int outputIdx[${u.length||1}]) {\n        int inputIdx[${i.length}];\n        int indexDataIdx[${a.length||1}];\n        indexDataIdx[0] = 0;\n        ${l.join("\n        ")}\n        int idx = int(_B(indexDataIdx));\n        inputIdx[${r}] = idx < 0 ? idx + ${i[r]} : idx;\n        return _A(inputIdx);\n      }`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:s.TextureType.unpacked},shaderSource:c})})(0,r,e,n.axis)})},l=(t,e)=>{if(!t||2!==t.length)throw new Error("Gather requires 2 inputs.");const n=t[0].dims.length;if(n<1)throw new Error("Invalid input shape.");if(e<-n||e>n-1)throw new Error("Invalid axis.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invaid input type.");if("int32"!==t[1].type&&"int16"!==t[1].type)throw new Error("Invaid input type.")}},4776:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseGemmAttributesV11=e.parseGemmAttributesV7=e.gemm=void 0;const r=n(246),i=n(2517),o=n(2039);e.gemm=(t,e,n)=>(l(e,n),[t.run(a(e,n),e)]);const s=(t,e)=>{const n=0!==t.attributes.getInt("transA",0),i=0!==t.attributes.getInt("transB",0),o=t.attributes.getFloat("alpha",1),s=t.attributes.getFloat("beta",1);return(0,r.createAttributeWithCacheKey)({transA:n,transB:i,alpha:o,beta:s,isOptionalC:e})};e.parseGemmAttributesV7=t=>s(t,!1),e.parseGemmAttributesV11=t=>s(t,!0);const a=(t,e)=>{const n={name:"Gemm",inputNames:3===t.length?["A","B","C"]:["A","B"],inputTypes:3===t.length?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],key:e.cacheKey};return Object.assign(Object.assign({},n),{get:()=>u(n,t,e)})},u=(t,e,n)=>{const r=e[0].dims.slice(),s=e[1].dims.slice(),[a,u]=i.GemmUtil.getShapeOfGemmResult(r,n.transA,s,n.transB,3===e.length?e[2].dims:void 0),l=[a,u];if(!l)throw new Error("Can't use gemm on the given tensors");let c=r[r.length-1],d="";n.transA&&(c=r[0]),n.transA&&n.transB?d="value += _A_T(a) * _B_T(b);":n.transA&&!n.transB?d="value += _A_T(a) * _B(b);":!n.transA&&n.transB?d="value += _A(a) * _B_T(b);":n.transA||n.transB||(d="value += _A(a) * _B(b);");const p=l.length,h=`\n      float process(int indices[${p}]) {\n          int a[${p}];\n          int b[${p}];\n          ${3===e.length?`int c[${e[2].dims.length}];`:""}\n\n          copyVec(indices, a);\n          copyVec(indices, b);\n          ${3===e.length?"bcastIndices_C(indices, c);":""}\n\n          float value = 0.0;\n          for (int k=0; k<${c}; ++k) {\n              a[${p-1}] = k;\n              b[${p-2}] = k;\n              ${d}\n          }\n\n          value = value * alpha;\n          ${3===e.length?"value += beta * _C(c);":""}\n          return value;\n      }`;return Object.assign(Object.assign({},t),{output:{dims:l,type:e[0].type,textureType:o.TextureType.unpacked},variables:[{name:"alpha",type:"float",data:n.alpha},{name:"beta",type:"float",data:n.beta}],shaderSource:h})},l=(t,e)=>{if(!t)throw new Error("Input is missing");if(e.isOptionalC&&(t.length<2||t.length>3))throw new Error("Invaid input shape.");if(!e.isOptionalC&&3!==t.length)throw new Error("Gemm requires 3 inputs");if(3===t.length&&1!==t[2].dims.length&&2!==t[2].dims.length)throw new Error("Invalid input shape of C");if("float32"!==t[0].type&&"float64"!==t[0].type||"float32"!==t[1].type&&"float64"!==t[1].type||3===t.length&&"float32"!==t[2].type&&"float64"!==t[2].type)throw new Error("Invalid input type.");if(t[0].type!==t[1].type||3===t.length&&t[0].type!==t[2].type)throw new Error("Input types are mismatched")}},8555:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.createPackedIm2ColProgramInfoLoader=void 0;const r=n(5060),i=n(2039),o=n(2827);e.createPackedIm2ColProgramInfoLoader=(t,e,n,s,a)=>{const u=(l=a.cacheKey,{name:"Im2Col (packed)",inputNames:["A"],inputTypes:[i.TextureType.packed],cacheHint:l});var l;return Object.assign(Object.assign({},u),{get:()=>((t,e,n,s,a,u)=>{const l=n.dims,c=s.dims,d=a.length,p=[c[1]*c[2]*c[3],a[2]*a[3]],h=c[2]*c[3],f=(0,o.unpackFromChannel)(),g=(0,r.getGlsl)(t.session.backend.glContext.version);let b="";for(let t=0;t<=1;t++)for(let e=0;e<=1;e++)b+=`\n            blockIndex = rc.x + ${e};\n            pos = rc.y + ${t};\n\n            if(blockIndex < ${p[1]} && pos < ${p[0]}) {\n              offsetY = int(blockIndex / (${a[d-1]})) * ${u.strides[0]} -\n                ${u.pads[0]};\n              d0 = offsetY + ${u.dilations[0]} * (imod(pos, ${h}) / ${c[2]});\n\n              if(d0 < ${l[2]} && d0 >= 0) {\n                offsetX = imod(blockIndex, ${a[d-1]}) * ${u.strides[1]} -\n                  ${u.pads[1]};\n                d1 = offsetX + ${u.dilations[1]} * imod(imod(pos, ${h}), ${c[2]});\n\n                if(d1 < ${l[3]} && d1 >= 0) {\n\n                  ch = int(float(pos)/ ${h}.);\n                    innerDims = vec2(d0, d1);\n                    result[${2*t+e}] = getChannel(\n                      getA(0, ch, int(innerDims.x),\n                      int(innerDims.y)), innerDims);\n                }\n              }\n            }\n\n          `;const m=`\n      ${f}\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n          vec4 result = vec4(0.0);\n          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n          vec2 innerDims;\n          ${b}\n          ${g.output} = result;\n      }\n            `;return Object.assign(Object.assign({},e),{output:{dims:p,type:n.type,textureType:i.TextureType.packed},shaderSource:m,hasMain:!0})})(t,u,e,n,s,a)})}},3248:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.calculateIm2ColDims=e.createIm2ColProgramInfoLoader=void 0;const r=n(2039);e.createIm2ColProgramInfoLoader=(t,n,i,o,s)=>{const a=(u=s.cacheKey,{name:"Im2Col",inputNames:["X"],inputTypes:[r.TextureType.unpacked],cacheHint:u});var u;return Object.assign(Object.assign({},a),{get:()=>((t,n,i,o,s,a)=>{const u=i.dims,l=o.dims,c=s.length,d=(0,e.calculateIm2ColDims)(u,l,s,4),p=`\n        const int XC = ${u[1]};\n        const int XH = ${u[2]};\n        const int XW = ${u[3]};\n        const int KH = ${a.kernelShape[0]};\n        const int KW = ${a.kernelShape[1]};\n        const int dilationH = ${a.dilations[0]};\n        const int dilationW = ${a.dilations[1]};\n        const int strideH = ${a.strides[0]};\n        const int strideW = ${a.strides[1]};\n        const int padH = ${a.pads[0]};\n        const int padW = ${a.pads[1]};\n        const int KHKW = KH*KW;\n        const int XCKHKW = XC * KHKW;\n        const int outputChannels = 4;\n        vec4 process(int indices[${c}]) {\n          int b  = indices[0]; // batch size\n          int oh = indices[1] * strideH - padH; //output height\n          int ow = indices[2] * strideW - padW; //output width\n          int p = indices[3] * outputChannels; //patch\n          vec4 value = vec4(0.0);\n          for(int i=0; i < outputChannels; ++i) {\n            if(p < XCKHKW) {\n              int patchC = p / KHKW;\n              int patchH = (p - patchC*KHKW) / KW;\n              int patchW = (p - patchC*KHKW) - patchH * KW;\n              int xh2 = oh + patchH * dilationH;\n              int xw2 = ow + patchW * dilationW;\n              int x[${u.length}];\n              x[0] = b;\n              x[1] = patchC;\n              x[2] = xh2;\n              x[3] = xw2;\n              if(xh2 >= 0 &&\n                  xh2 < XH &&\n                  xw2 >= 0 &&\n                  xw2 < XW) {\n                value[i] = _X(x);\n              }\n            }\n            ++p;\n          }\n          return value;\n        }\n        `;return Object.assign(Object.assign({},n),{output:{dims:d,type:i.type,textureType:r.TextureType.packedLastDimension},shaderSource:p})})(0,a,n,i,o,s)})},e.calculateIm2ColDims=(t,e,n,r=4)=>[n[0],n[2],n[3],Math.ceil(t[1]*e[2]*e[3]/r)]},6572:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseImageScalerAttributes=e.imageScaler=void 0;const r=n(246),i=n(2039);e.imageScaler=(t,e,n)=>(u(e),[t.run(s(t,e,n),e)]),e.parseImageScalerAttributes=t=>{const e=t.attributes.getFloat("scale"),n=t.attributes.getFloats("bias");return(0,r.createAttributeWithCacheKey)({scale:e,bias:n})};const o={name:"ImageScaler",inputNames:["X"],inputTypes:[i.TextureType.unpacked]},s=(t,e,n)=>{const r=Object.assign(Object.assign({},o),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const o=n[0].dims.slice(),s=o.length,u=`\n      ${a(r.bias.length)}\n      float process(int indices[${s}]) {\n        return _X(indices) * scale + getBias(bias, indices[1]);\n      }`;return 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process(int[${o}] indices) {\n          return padA(indices);\n      }`;return{name:"Pad",inputNames:["A"],inputTypes:[s.TextureType.unpacked],output:{dims:r,type:e.type,textureType:s.TextureType.unpacked},shaderSource:a}},c=t=>{if(!t||1!==t.length)throw new Error("Pad requires 1 input");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.")},d=t=>{if(!t||2!==t.length&&3!==t.length)throw new Error("Pad requires 2 or 3 inputs");if("int32"!==t[1].type)throw new Error("Invalid input type.");if(t.length>=3&&"string"===t[2].type)throw new Error("Invalid input type.")},p=(t,e,n)=>{const r=(0,o.getGlsl)(t.session.backend.glContext.version),[a,u]=t.calculateTextureWidthAndHeight(e.dims,s.TextureType.unpacked),l=i.ShapeUtil.computeStrides(e.dims);switch(n.mode){case"constant":return h(r,e.dims,l,a,u,n.pads,n.value);case"reflect":return f(r,e.dims,l,a,u,n.pads);case"edge":return g(r,e.dims,l,a,u,n.pads);default:throw new Error("Invalid mode")}},h=(t,e,n,r,i,o,s)=>{const a=e.length;let u="";for(let t=a-1;t>=0;--t)u+=`\n        k = m[${t}] - ${o[t]};\n        if (k < 0)  return constant;\n        if (k >= ${e[t]}) return constant;\n        offset += k * ${n[t]};\n        `;return`\n      float padA(int m[${a}]) {\n        const float constant = float(${s});\n        int offset = 0;\n        int k = 0;\n        ${u}\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\n        return value;\n      }\n      `},f=(t,e,n,r,i,o)=>{const s=e.length;let a="";for(let t=s-1;t>=0;--t)a+=`\n        k = m[${t}] - ${o[t]};\n        if (k < 0) { k = -k; }\n        {\n          const int _2n_1 = ${2*(e[t]-1)};\n          k = int( mod( float(k), float(_2n_1) ) ) ;\n          if(k >= ${e[t]}) { k = _2n_1 - k; }\n        }\n        offset += k * ${n[t]};\n        `;return`\n      float padA(int m[${s}]) {\n        int offset = 0;\n        int k = 0;\n        ${a}\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\n        return value;\n      }\n      `},g=(t,e,n,r,i,o)=>{const s=e.length;let a="";for(let t=s-1;t>=0;--t)a+=`\n        k = m[${t}] - ${o[t]};\n        if (k < 0)  k = 0;\n        if (k >= ${e[t]}) k = ${e[t]-1};\n        offset += k * ${n[t]};\n      `;return`\n      float padA(int m[${s}]) {\n        int offset = 0;\n        int k = 0;\n        ${a}\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\n        return value;\n      }\n      `}},2143:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.globalMaxPool=e.parseMaxPoolAttributes=e.maxPool=e.parseGlobalAveragePoolAttributes=e.globalAveragePool=e.parseAveragePoolAttributes=e.averagePool=void 0;const r=n(246),i=n(2517),o=n(2039);e.averagePool=(t,e,n)=>{d(e);const r={name:"AveragePool",inputNames:["X"],inputTypes:[o.TextureType.unpacked],cacheHint:n.cacheKey};return[t.run(Object.assign(Object.assign({},r),{get:()=>s(e,r,!1,n)}),e)]},e.parseAveragePoolAttributes=t=>{const e=t.attributes.getString("auto_pad","NOTSET"),n=t.attributes.getInt("ceil_mode",0),i=0!==t.attributes.getInt("count_include_pad",0),o=t.attributes.getInts("kernel_shape"),s=t.attributes.getInts("strides",[]),a=t.attributes.getInts("pads",[]);if(0!==n)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return(0,r.createAttributeWithCacheKey)({autoPad:e,ceilMode:n,countIncludePad:i,kernelShape:o,strides:s,pads:a})};const s=(t,e,n,r)=>{const[s,a]=u(t,r,n),l=i.ShapeUtil.size(s.kernelShape);let c="";s.countIncludePad?c+=`value /= float(${l});`:c+=`value /= float(${l} - pad);`;const d=`\n        ${p(t[0].dims,s,"value += _X(x);",c,"0.0")}\n      `;return Object.assign(Object.assign({},e),{output:{dims:a,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:d})};e.globalAveragePool=(t,e,n)=>{d(e);const r={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[o.TextureType.unpacked],cacheHint:`${n.countIncludePad}`};return[t.run(Object.assign(Object.assign({},r),{get:()=>s(e,r,!0,n)}),e)]},e.parseGlobalAveragePoolAttributes=t=>{const e=0!==t.attributes.getInt("count_include_pad",0);return(0,r.createAttributeWithCacheKey)({autoPad:"",ceilMode:0,countIncludePad:e,kernelShape:[],strides:[],pads:[]})},e.maxPool=(t,e,n)=>{d(e);const r={name:"MaxPool",inputNames:["X"],inputTypes:[o.TextureType.unpacked],cacheHint:n.cacheKey};return[t.run(Object.assign(Object.assign({},r),{get:()=>a(e,r,!1,n)}),e)]},e.parseMaxPoolAttributes=t=>{const e=t.attributes.getString("auto_pad","NOTSET"),n=t.attributes.getInt("ceil_mode",0),i=t.attributes.getInts("kernel_shape"),o=t.attributes.getInts("strides",[]),s=t.attributes.getInts("pads",[]),a=t.attributes.getInt("storage_order",0),u=t.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(0,r.createAttributeWithCacheKey)({autoPad:e,ceilMode:n,countIncludePad:!1,kernelShape:i,strides:o,pads:s,storageOrder:a,dilations:u})};const a=(t,e,n,r)=>{const[i,s]=u(t,r,n),a=`\n      ${p(t[0].dims,i,"\n      value = max(_X(x), value);\n    ","","-1e5")}\n    `;return Object.assign(Object.assign({},e),{output:{dims:s,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:a})},u=(t,e,n)=>{const r=t[0].dims.slice(),o=Object.hasOwnProperty.call(e,"dilations"),s=e.kernelShape.slice(),a=e.strides.slice(),u=o?e.dilations.slice():[],l=e.pads.slice();i.PoolConvUtil.adjustPoolAttributes(n,r,s,a,u,l);const c=i.PoolConvUtil.computePoolOutputShape(n,r,a,u,s,l,e.autoPad),d=Object.assign({},e);return o?Object.assign(d,{kernelShape:s,strides:a,pads:l,dilations:u,cacheKey:e.cacheKey}):Object.assign(d,{kernelShape:s,strides:a,pads:l,cacheKey:e.cacheKey}),[d,c]},l={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},c={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[o.TextureType.unpacked]};e.globalMaxPool=(t,e)=>(d(e),[t.run(Object.assign(Object.assign({},c),{get:()=>a(e,c,!0,l)}),e)]);const d=t=>{if(!t||1!==t.length)throw new Error("Pool ops requires 1 input.");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.")},p=(t,e,n,r,o)=>{const s=t.length;if(e.kernelShape.length<=2){const i=e.kernelShape[e.kernelShape.length-1],a=e.strides[e.strides.length-1],u=e.pads[e.pads.length/2-1],l=e.pads[e.pads.length-1],c=t[s-1];let d="",p="",h="";if(d=u+l!==0?`\n          for (int i = 0; i < ${i}; i++) {\n            x[${s} - 1] = indices[${s} - 1] * ${a} - ${u} + i;\n            if (x[${s} - 1] < 0 || x[${s} - 1] >= ${c}) {\n              pad++;\n              continue;\n            }\n            ${n}\n          }`:`\n          for (int i = 0; i < ${i}; i++) {\n            x[${s} - 1] = indices[${s} - 1] * ${a} - ${u} + i;\n            ${n}\n          }`,2===e.kernelShape.length){const n=e.kernelShape[e.kernelShape.length-2],r=e.strides[e.strides.length-2],o=e.pads[e.pads.length/2-2],a=e.pads[e.pads.length-2],u=t[s-2];p=o+a!==0?`\n            for (int j = 0; j < ${n}; j++) {\n              x[${s} - 2] = indices[${s} - 2] * ${r} - ${o} + j;\n              if (x[${s} - 2] < 0 || x[${s} - 2] >= ${u}) {\n                pad+= ${i};\n                continue;\n              }\n          `:`\n            for (int j = 0; j < ${n}; j++) {\n              x[${s} - 2] = indices[${s} - 2] * ${r} - ${o} + j;\n            `,h="\n          }\n        "}return`\n        float process(int indices[${s}]) {\n          int x[${s}];\n          copyVec(indices, x);\n\n          float value = ${o};\n          int pad = 0;\n          ${p}\n          ${d}\n          ${h}\n          ${r}\n          return value;\n        }\n      `}{const a=i.ShapeUtil.size(e.kernelShape),u=i.ShapeUtil.computeStrides(e.kernelShape),l=u.length,c=e.pads.length,d=f(l),p=h(t,"inputDims"),g=h(e.pads,"pads"),b=h(u,"kernelStrides"),m=h(e.strides,"strides");let y="";return y=e.pads.reduce(((t,e)=>t+e))?`\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        ${d}\n        float process(int indices[${s}]) {\n          int x[${s}];\n          copyVec(indices, x);\n          int offset[${l}];\n          int pads[${c}];\n          int inputDims[${s}];\n          int kernelStrides[${l}];\n          int strides[${l}];\n          ${g}\n          ${p}\n          ${m}\n          ${b}\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 = ${s} - ${l}; j < ${s}; j++) {\n              x[j] = indices[j] * strides[j - ${s} + ${l}]\n                + offset[j - ${s} + ${l}] - pads[j - 2];\n              ${y}\n          }\n          ${r}\n\n          return value;\n        }\n      `}},h=(t,e)=>{let n="";for(let r=0;r<t.length;r++)n+=`\n      ${e}[${r}] = ${t[r]};\n    `;return n},f=t=>`\n  void offsetToIndices(int offset, int[${t}] strides, out int[${t}] indices) {\n    if (${t} == 0) {\n      return;\n    }\n    for (int i = 0; i < ${t} - 1; ++i) {\n      indices[i] = offset / strides[i];\n      offset -= indices[i] * strides[i];\n    }\n    indices[${t} - 1] = offset;\n  }`},4939:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.reduceLogSumSquare=e.reduceLogSum=e.reduceProd=e.reduceMin=e.reduceMax=e.reduceMean=e.reduceSum=e.parseReduceAttributes=void 0;const r=n(246),i=n(782),o=n(2517),s=n(2039),a=(t,e,n,r,i)=>{l(e);const o={name:r,inputNames:["A"],inputTypes:[s.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},o),{cacheHint:n.cacheKey,get:()=>u(t,e,n,r,i,o)}),e)]};e.parseReduceAttributes=t=>{const e=t.attributes.getInts("axes",[]),n=1===t.attributes.getInt("keepdims",1);return(0,r.createAttributeWithCacheKey)({axes:e,keepDims:n})};const u=(t,e,n,r,i,a)=>{const u=[],l=e[0].dims.length||1,c=[],d=o.ShapeUtil.normalizeAxes(n.axes,e[0].dims.length),p=i(e,d);let h=p[1];for(let t=0;t<e[0].dims.length;t++)d.indexOf(t)>=0||0===d.length?(n.keepDims&&u.push(1),h=`\n          for(int j${t} = 0; j${t} < ${e[0].dims[t]}; j${t}++) {\n            inputIdx[${t}] = j${t};\n            ${h}\n          }`):(c.push(`inputIdx[${t}] = outputIdx[${u.length}];`),u.push(e[0].dims[t]));const f=`\n      float process(int outputIdx[${u.length||1}]) {\n        float value;                 // final result\n        int inputIdx[${l}];      // addressing input data\n        ${c.join("\n")}\n        ${p[0]}       // init ops for reduce max/min\n        ${h}\n        ${p[2]}       // final computation for reduce mean\n        return value;\n      }`;return Object.assign(Object.assign({},a),{output:{dims:u,type:e[0].type,textureType:s.TextureType.unpacked},shaderSource:f})},l=t=>{if(!t||1!==t.length)throw new Error("Reduce op requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invalid input type.")};e.reduceSum=(t,e,n)=>a(t,e,n,"ReduceSum",(()=>["value = 0.0;","value += _A(inputIdx);",""])),e.reduceMean=(t,e,n)=>a(t,e,n,"ReduceMean",((t,e)=>{let n=1;for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&(n*=t[0].dims[r]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${n}.;`]})),e.reduceMax=(t,e,n)=>a(t,e,n,"ReduceMax",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]})),e.reduceMin=(t,e,n)=>a(t,e,n,"ReduceMin",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join("\n")}\nvalue = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]})),e.reduceProd=(t,e,n)=>a(t,e,n,"ReduceProd",(()=>["value = 1.0;","value *= _A(inputIdx);",""])),e.reduceLogSum=(t,e,n)=>a(t,e,n,"ReduceLogSum",(()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"])),e.reduceLogSumSquare=(t,e,n)=>a(t,e,n,"ReduceLogSumSquare",(()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""]))},7019:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.isReshapeCheap=e.processDims3D=e.createPackedReshape3DProgramInfoLoader=void 0;const r=n(2517),i=n(5060),o=n(2039),s=n(2827);e.createPackedReshape3DProgramInfoLoader=(t,e,n)=>{const a=(t=>({name:"Reshape (packed)",inputTypes:[o.TextureType.packed],inputNames:["A"],cacheHint:`${t}`}))(n);return Object.assign(Object.assign({},a),{get:()=>((t,e,n,a)=>{const u=e.dims,l=a;let c="";for(let t=0;t<4;t++){let e="";switch(t){case 0:e="outputCoords = rc;";break;case 1:e="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:e="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:e="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}c+=`\n        ${e}\n        ${t>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}\n          int flattenedIndex = getFlattenedIndex(outputCoords);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);\n          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${t}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);\n\n        ${t>0?"}":""}\n      `}const d=(0,i.getGlsl)(t.session.backend.glContext.version),p=`\n      ${function(t){const e=r.ShapeUtil.computeStrides(t),n=["b","r","c"],i="index";return`\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${e.map(((t,r)=>`int ${n[r]} = ${i} / ${t}; ${r===e.length-1?`int ${n[r+1]} = ${i} - ${n[r]} * ${t}`:`index -= ${n[r]} * ${t}`};`)).join("")}\n      return ivec3(b, r, c);\n    }\n  `}(u)}\n      ${function(t){const e=r.ShapeUtil.computeStrides(t);return`\n  int getFlattenedIndex(ivec3 coords) {\n    // reverse y, z order\n    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;\n  }\n`}(l)}\n      ${(0,s.unpackFromChannel)()}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.0);\n\n        ivec3 outputCoords;\n        int rows = ${l[2]};\n        int cols = ${l[1]};\n\n        ${c}\n        ${d.output} = result;\n      }\n    `;return Object.assign(Object.assign({},n),{output:{dims:l,type:e.type,textureType:o.TextureType.packed},shaderSource:p,hasMain:!0})})(t,e,a,n)})},e.processDims3D=function(t){if(0===t.length)return[1,1,1];let e=1;for(let n=0;n<t.length-2;++n)e*=t[n];return[e,t.length>1?t[t.length-2]:1,t[t.length-1]]},e.isReshapeCheap=function(t,e){let n=!1;return n=0===t.length||0===e.length||(t.length<2||e.length<2?t[t.length-1]===e[e.length-1]:t[t.length-1]===e[e.length-1]&&t[t.length-2]===e[e.length-2]),n}},718:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.reshape=void 0;const r=n(2517);e.reshape=(t,e)=>{const n=r.ShapeUtil.calculateReshapedDims(e[0].dims,e[1].integerData);return t.session.pack?[t.reshapePacked(e[0],n)]:[t.reshapeUnpacked(e[0],n)]}},2268:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseResizeAttributesV11=e.parseResizeAttributesV10=e.resize=void 0;const r=n(5060),i=n(2039),o=n(9390),s=n(2827),a=n(9793),u={name:"Resize",inputNames:["A"],inputTypes:[i.TextureType.packed]};e.resize=(t,e,n)=>((0,a.validateInputs)(e,n),[t.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>l(t,e,n)}),e)]),e.parseResizeAttributesV10=t=>(0,a.parseUpsampleAttributes)(t,10),e.parseResizeAttributesV11=t=>(0,a.parseUpsampleAttributes)(t,11);const l=(t,e,n)=>{const a=(0,r.getGlsl)(t.session.backend.glContext.version),[l,d]=c(e,n);if(l.every((t=>1===t))&&"tf_crop_and_resize"!==n.coordinateTransformMode)return Object.assign(Object.assign({},u),{output:{dims:d,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:`void main() {\n                    vec4 v = ${a.texture2D}(X, TexCoords);\n                    ${a.output} = v;\n                }`});const p=d.length;if(p<2)throw new Error(`output dimension should be at least 2, but got ${p}`);const h=d[p-2],f=d[p-1],g=e[0].dims;if(p!==g.length)throw new Error(`output dimension should match input ${g.length}, but got ${p}`);const b=g[p-2],m=g[p-1],y=l[p-2],x=l[p-1];let _="";if("linear"!==n.mode)throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case"asymmetric":_="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return vec4(coords) / scaleWHWH;\n                    }\n                ";break;case"half_pixel":_="\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;\n                    }\n                ";break;case"pytorch_half_pixel":_=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 fcoords = vec4(coords);\n                        return vec4(\n                            ${f}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,\n                            ${h}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,\n                            ${f}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,\n                            ${h}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0\n                          );\n                    }\n                `;break;case"align_corners":_=`\n                    vec4 getSourceFracIndex(ivec4 coords) {\n                        vec4 resized = vec4(${f}.0 - 1.0, ${h}.0 - 1.0, ${f}.0 - 1.0,\n                            ${h}.0 - 1.0);\n                        vec4 original = vec4(${m}.0 - 1.0, ${b}.0 - 1.0, ${m}.0 - 1.0,\n                            ${b}.0 - 1.0);\n                        vec4 new_scale = original / resized;\n                        return vec4(coords) * new_scale;\n                    }\n                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}const w=(0,o.getCoordsDataType)(p),v=`\n            const vec2 inputWH = vec2(${b}.0, ${m}.0);\n            const vec4 scaleWHWH = vec4(float(${y}), float(${x}), float(${y}), float(${x}));\n            ${(0,s.unpackFromChannel)()}\n            ${_}\n            float getAValue(int x10, int r, int c, int d) {\n                return getChannel(getA(x10, r, c, d), vec2(c, d));\n            }\n            void main() {\n                ${w} rc = getOutputCoords();\n\n                int batch = rc[0];\n                int depth = rc[1];\n\n                // retrieve the 4 coordinates that is used in the 4 packed output values.\n                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);\n\n                // calculate the source index in fraction\n                vec4 sourceFrac = getSourceFracIndex(coords);\n\n                // get the lower and upper bound of the 4 values that will be packed into one texel.\n                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));\n                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));\n                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));\n                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));\n\n                bool hasNextRow = rc.w < ${h-1};\n                bool hasNextCol = rc.z < ${f-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                ${a.output} = vec4(newValue);\n            }\n        `;return Object.assign(Object.assign({},u),{output:{dims:d,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:v})},c=(t,e)=>{const n=t[0].dims;let r,i=e.scales;if(0===i.length){const o=t[e.scalesInputIdx];if(o&&0!==o.size){if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");i=d(o,e.mode,e.isResize)}else{const o=t[e.sizesInputIdx];if(!o||0===o.size)throw new Error("Either scales or sizes MUST be provided as input.");r=Array.from(o.integerData),i=p(r,n,e.mode,e.isResize)}}else if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");const o=r||n.map(((t,e)=>Math.floor(t*i[e])));return[i,o]},d=(t,e,n)=>{const r=Array.from(t.floatData);return(0,a.scalesValidation)(r,e,n),r},p=(t,e,n,r)=>{const i=e.length,o=new Array(i);for(let n=0,r=i;n<r;n++)if(0===e[n]){if(0!==t[n])throw new Error("Input dim is zero but required output dim is non-zero.");o[n]=1}else o[n]=t[n]/e[n];return(0,a.scalesValidation)(o,n,r),o}},8117:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.shape=void 0;const r=n(9162);e.shape=(t,e)=>(i(e),[new r.Tensor([e[0].dims.length],"int32",void 0,void 0,new Int32Array(e[0].dims))]);const i=t=>{if(!t||1!==t.length)throw new Error("Shape requires 1 input.")}},2278:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.sliceV10=e.parseSliceAttributes=e.slice=void 0;const r=n(246),i=n(782),o=n(2517),s=n(2039),a={name:"Slice",inputNames:["A"],inputTypes:[s.TextureType.unpacked]};e.slice=(t,e,n)=>(l(e),[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),e)]),e.parseSliceAttributes=t=>{const e=t.attributes.getInts("starts"),n=t.attributes.getInts("ends"),i=t.attributes.getInts("axes",[]);return(0,r.createAttributeWithCacheKey)({starts:e,ends:n,axes:i})};const u=(t,e,n)=>{const r=0===n.axes.length?e.dims.slice(0).map(((t,e)=>e)):n.axes,i=o.ShapeUtil.normalizeAxes(r,e.dims.length),u=n.starts.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:o.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),l=n.ends.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:o.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),c=e.dims.slice(),d=[];for(let t=0;t<i.length;t++)c[i[t]]=l[t]-u[t],u[t]>0&&d.push(`outputIdx[${i[t]}] += ${u[t]};`);const p=`\n      float process(int outputIdx[${c.length}]) {\n        ${d.join("\n      ")}\n        return _A(outputIdx);\n      }`;return Object.assign(Object.assign({},a),{output:{dims:c,type:e.type,textureType:s.TextureType.unpacked},shaderSource:p})},l=t=>{if(!t||1!==t.length)throw new Error("Slice requires 1 input.");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invalid input type.")};e.sliceV10=(t,e)=>{d(e);const n=c(t,e);return[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),[e[0]])]};const c=(t,e)=>{if(!t.session.isInitializer(e[1].dataId)||!t.session.isInitializer(e[2].dataId)||e.length>=4&&!t.session.isInitializer(e[3].dataId)||e.length>=5&&!t.session.isInitializer(e[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(e.length>=5&&e[4].integerData.some((t=>1!==t)))throw new Error("currently non-1 steps is not supported for Slice");const n=Array.from(e[1].integerData),r=Array.from(e[2].integerData),i=e.length>=4?Array.from(e[3].integerData):[];return{starts:n,ends:r,axes:i,cacheKey:`${i};${n};${r}`}},d=t=>{if(!t||t.length<3||t.length>5)throw new Error("Invalid input number.");if("int32"!==t[1].type||1!==t[1].dims.length)throw new Error("Invalid input type.");if("int32"!==t[2].type||1!==t[2].dims.length)throw new Error("Invalid input type.");if(t.length>=4&&("int32"!==t[3].type||1!==t[3].dims.length))throw new Error("Invalid input type.");if(t.length>=5&&("int32"!==t[4].type||1!==t[4].dims.length))throw new Error("Invalid input type.")}},5524:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.softmaxV13=e.parseSoftmaxAttributesV13=e.parseSoftmaxAttributes=e.softmax=void 0;const r=n(246),i=n(2517),o=n(5060),s=n(2039),a=n(3738),u={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[s.TextureType.unpacked]},l={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[s.TextureType.unpacked,s.TextureType.unpacked]},c={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[s.TextureType.unpacked,s.TextureType.unpacked,s.TextureType.unpacked]};e.softmax=(t,e,n)=>{g(e);const r=e[0].dims.slice(),o=i.ShapeUtil.normalizeAxis(n.axis,r.length),s=i.ShapeUtil.sizeToDimension(r,o),a=i.ShapeUtil.sizeFromDimension(r,o);return d(t,e,n,s,a)},e.parseSoftmaxAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",1)}),e.parseSoftmaxAttributesV13=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt("axis",-1)}),e.softmaxV13=(t,e,n)=>{g(e);const o=e[0].dims.slice(),s=i.ShapeUtil.normalizeAxis(n.axis,o.length),u=o.length,l=s!==u-1,c=[];let p,h=[],f=[];l&&(h=Array.from({length:u}).map(((t,e)=>e)),h[s]=u-1,h[u-1]=s,h.map((t=>c.push(o[t]))),p=(0,r.createAttributeWithCacheKey)({perm:h}),f=(0,a.transpose)(t,e,p));const b=l?i.ShapeUtil.sizeToDimension(c,u-1):i.ShapeUtil.sizeToDimension(o,u-1),m=l?i.ShapeUtil.sizeFromDimension(c,u-1):i.ShapeUtil.sizeFromDimension(o,u-1),y=d(t,l?f:e,n,b,m);return l?(0,a.transpose)(t,y,p):y};const d=(t,e,n,r,i)=>{const o=p(t,e[0],r,i,[r]),s=t.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>o}),e),a=h(t,e[0],r,i,o.output.dims,[r]),d=t.run(Object.assign(Object.assign({},l),{cacheHint:n.cacheKey,get:()=>a}),[e[0],s]),g=f(t,e[0],r,i,o.output.dims,a.output.dims);return[t.run(Object.assign(Object.assign({},c),{cacheHint:n.cacheKey,get:()=>g}),[e[0],s,d])]},p=(t,e,n,r,i)=>{const[a,l]=t.calculateTextureWidthAndHeight(e.dims,s.TextureType.unpacked),c=i.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==i.length)throw new Error("Dimensionality of the output should be 1");if(i[0]!==n)throw new Error("Shape of the output should be equal to logical row count");const d=(0,o.getGlsl)(t.session.backend.glContext.version),p=`\n      float process(int[${c}] indices) {\n        int logical_row_start_offset = indices[0] * ${r};\n\n        float max = getColorAsFloat(${d.texture2D}(A, offsetToCoords(logical_row_start_offset, ${a},\n        ${l} )));\n        for(int i=1; i<${r}; ++i)\n        {\n          float current = getColorAsFloat(${d.texture2D}(A, offsetToCoords(logical_row_start_offset + i,\n            ${a}, ${l})));\n          if(current > max)\n          max = current;\n        }\n\n        return max;\n      }`;return Object.assign(Object.assign({},u),{output:{dims:i,type:e.type,textureType:s.TextureType.unpacked},shaderSource:p})},h=(t,e,n,r,i,a)=>{const[u,c]=t.calculateTextureWidthAndHeight(e.dims,s.TextureType.unpacked),d=a.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==a.length)throw new Error("Dimensionality of the output should be 1");if(a[0]!==n)throw new Error("Shape of the output should be equal to logical row count");if(1!==i.length)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical row count");const p=`\n      float process(int[${d}] indices) {\n        int logical_row_start_offset = indices[0] * ${r};\n\n        float norm_factor = 0.0;\n        float max = _Max(indices);\n        for(int i=0; i<${r}; ++i)\n        {\n          norm_factor += exp(getColorAsFloat(${(0,o.getGlsl)(t.session.backend.glContext.version).texture2D}(A, offsetToCoords(logical_row_start_offset + i,\n            ${u}, ${c}))) - max);\n        }\n\n        return norm_factor;\n      }`;return Object.assign(Object.assign({},l),{output:{dims:a,type:e.type,textureType:s.TextureType.unpacked},shaderSource:p})},f=(t,e,n,r,i,o)=>{const[a,u]=t.calculateTextureWidthAndHeight(e.dims,s.TextureType.unpacked),l=e.dims.length;if(n<1||r<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(1!==i.length||1!==o.length)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==n||o[0]!==n)throw new Error("Shape of the intermediate results should be equal to logical row count");const d=`\n      float process(int[${l}] indices) {\n\n      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)\n      int offset = coordsToOffset(TexCoords, ${a}, ${u});\n\n      //determine the logical row for this index\n      int logical_row_index[1];\n      logical_row_index[0] = offset / ${r};\n\n      float norm_factor = _Norm(logical_row_index);\n\n      // avoid possible division by 0\n      // if norm_facor is 0, all elements are zero\n      // if so, return 0\n      if(norm_factor == 0.0)\n        return 0.0;\n\n      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;\n    }`;return Object.assign(Object.assign({},c),{output:{dims:e.dims,type:e.type,textureType:s.TextureType.unpacked},shaderSource:d})},g=t=>{if(!t||1!==t.length)throw new Error("Softmax requires 1 input.");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type")}},5975:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseSplitAttributes=e.split=void 0;const r=n(246),i=n(2517),o=n(2039),s={name:"Split",inputNames:["A"],inputTypes:[o.TextureType.unpacked]};e.split=(t,e,n)=>{l(e);const r=i.ShapeUtil.normalizeAxis(n.axis,e[0].dims.length),o=a(t,e,r,n),c=[];for(let i=0;i<o;++i)c.push(t.run(Object.assign(Object.assign({},s),{cacheHint:`${n.cacheKey};${i}`,get:()=>u(t,e[0],n,r,i)}),e));return c},e.parseSplitAttributes=t=>{const e=t.attributes.getInt("axis",0),n=t.attributes.getInts("split",[]),i=t.outputs.length;return(0,r.createAttributeWithCacheKey)({axis:e,split:n,numOutputs:i})};const a=(t,e,n,r)=>{const[,o]=i.SplitUtil.splitShape(e[0].dims,n,r.split,r.numOutputs);return o.length},u=(t,e,n,r,a)=>{const[u,l]=i.SplitUtil.splitShape(e.dims,r,n.split,n.numOutputs),c=l[a],d=u[a],p=`\n      float process(int indices[${d.length}]) {\n        indices[${r}] += ${c};\n        return _A(indices);\n      }\n    `;return Object.assign(Object.assign({},s),{cacheHint:`${n.cacheKey}:${a}`,output:{dims:d,type:e.type,textureType:o.TextureType.unpacked},shaderSource:p})},l=t=>{if(!t||1!==t.length)throw new Error("Split requires one input.");if("int8"!==t[0].type&&"uint8"!==t[0].type&&"int16"!==t[0].type&&"uint16"!==t[0].type&&"int32"!==t[0].type&&"uint32"!==t[0].type&&"float32"!==t[0].type&&"float64"!==t[0].type&&"bool"!==t[0].type)throw new Error("Invalid input type.")}},3933:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseSqueezeAttributes=e.squeezeV13=e.squeeze=void 0;const r=n(2517);e.squeeze=(t,e,n)=>{i(e);const o=r.ShapeUtil.squeezeShape(e[0].dims,n);return[t.reshapeUnpacked(e[0],o)]},e.squeezeV13=(t,n)=>(o(n),(0,e.squeeze)(t,[n[0]],Array.from(n[1].integerData))),e.parseSqueezeAttributes=t=>t.attributes.getInts("axes");const i=t=>{if(!t||1!==t.length)throw new Error("Squeeze requires 1 input.");if("string"===t[0].type)throw new Error("invalid input tensor types.")},o=t=>{if(!t||2!==t.length)throw new Error("Squeeze requires 2 inputs.");if("int32"!==t[1].type)throw new Error("Invalid input type.")}},6558:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.sum=void 0;const r=n(5060),i=n(2039);e.sum=(t,e)=>{s(e);const n={name:"Sum",inputNames:e.map(((t,e)=>`X${e}`)),inputTypes:new Array(e.length).fill(i.TextureType.unpacked)};return[t.run(Object.assign(Object.assign({},n),{get:()=>o(t,e,n)}),e)]};const o=(t,e,n)=>{const o=(0,r.getGlsl)(t.session.backend.glContext.version),s=e[0].dims.slice(),a=`\n      void main() {\n        vec4 result = ${e.map(((t,e)=>`${o.texture2D}(X${e},TexCoords)`)).join(" + ")};\n        ${o.output} = result;\n      }\n    `;return Object.assign(Object.assign({},n),{output:{dims:s,type:e[0].type,textureType:i.TextureType.unpacked},hasMain:!0,shaderSource:a})},s=t=>{if(!t||0===t.length)throw new Error("Sum requires inputs.");const e=t[0].dims.length;for(let n=1;n<t.length;n++){if(e!==t[n].dims.length)throw new Error("Input shapes are mismatched.");for(let r=0;r<e;r++)if(t[0].dims[r]!==t[n].dims[r])throw new Error("Input shapes are not matched.")}if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("Invalid input type.");for(let e=1;e<t.length;e++)if(t[0].type!==t[e].type)throw new Error("Input types are not matched.")}},5723:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.tile=void 0;const r=n(782),i=n(2039);e.tile=(t,e)=>{s(e);const n={name:"Tile",inputNames:["A"],inputTypes:[i.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},n),{get:()=>o(t,e,n)}),e)]};const o=(t,e,n)=>{const r=e[0].dims.slice(),o=new Array(r.length),s=[];for(let t=0;t<r.length;t++)o[t]=r[t]*e[1].numberData[t],s.push(`inputIdx[${t}] = int(mod(float(outputIdx[${t}]), ${r[t]}.));`);const a=o.length,u=`\n      float process(int outputIdx[${a}]) {\n        int inputIdx[${a}];\n        ${s.join("\n")}\n        return _A(inputIdx);\n      }\n    `;return Object.assign(Object.assign({},n),{output:{dims:o,type:e[0].type,textureType:i.TextureType.unpacked},shaderSource:u})},s=t=>{if(!t||2!==t.length)throw new Error("Tile requires 2 input.");if(1!==t[1].dims.length)throw new Error("The second input shape must 1 dimension.");if(t[1].dims[0]!==t[0].dims.length)throw new Error("Invalid input shape.");if(-1===r.NUMBER_TYPES.indexOf(t[0].type))throw new Error("Invalid input type.");if("int32"!==t[1].type&&"int16"!==t[1].type)throw new Error("Invalid repeat type.")}},3738:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.parseTransposeAttributes=e.transpose=void 0;const r=n(246),i=n(2517),o=n(2039),s={name:"Transpose",inputNames:["A"],inputTypes:[o.TextureType.unpacked]};e.transpose=(t,e,n)=>(d(e),[t.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>a(t,e[0],n.perm)}),e)]),e.parseTransposeAttributes=t=>(0,r.createAttributeWithCacheKey)({perm:t.attributes.getInts("perm",[])});const a=(t,e,n)=>{const r=e.dims;n=u(r,n);const i=l(r,n),a=r.length,d=`\n      ${c("perm",n,a)}\n      float process(int indices[${a}]) {\n        int a[${a}];\n        perm(a, indices);\n        return _A(a);\n      }`;return Object.assign(Object.assign({},s),{output:{dims:i,type:e.type,textureType:o.TextureType.unpacked},shaderSource:d})},u=(t,e)=>(e&&e.length!==t.length&&(e=[...t.keys()].reverse()),e),l=(t,e)=>(e=u(t,e),i.ShapeUtil.sortBasedOnPerm(t,e)),c=(t,e,n)=>{const r=[];r.push(`void ${t}(out int a[${n}], int src[${n}]) {`);for(let t=0;t<n;++t)r.push(`\ta[${e[t]}]=src[${t}];`);return r.push("\t}"),r.join("\n")},d=t=>{if(!t||1!==t.length)throw new Error("Transpose requires 1 input.");if("float32"!==t[0].type&&"float64"!==t[0].type)throw new Error("input should be float tensor")}},8710:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.encodeAsUint8=void 0;const r=n(5060),i=n(2039);e.encodeAsUint8=(t,e)=>{const n=e.shape,o=(0,r.getGlsl)(t.session.backend.glContext.version),s=`\n    const float FLOAT_MAX = 1.70141184e38;\n    const float FLOAT_MIN = 1.17549435e-38;\n\n    bool isNaN(float val) {\n      return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\n    }\n\n    highp vec4 encodeAsUint8(highp float v) {\n      if (isNaN(v)) {\n        return vec4(255, 255, 255, 255);\n      }\n\n      highp float av = abs(v);\n\n      if(av < FLOAT_MIN) {\n        return vec4(0.0, 0.0, 0.0, 0.0);\n      } else if(v > FLOAT_MAX) {\n        return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n      } else if(v < -FLOAT_MAX) {\n        return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n      }\n\n      highp vec4 c = vec4(0,0,0,0);\n\n      highp float e = floor(log2(av));\n      highp float m = exp2(fract(log2(av))) - 1.0;\n\n      c[2] = floor(128.0 * m);\n      m -= c[2] / 128.0;\n      c[1] = floor(32768.0 * m);\n      m -= c[1] / 32768.0;\n      c[0] = floor(8388608.0 * m);\n\n      highp float ebias = e + 127.0;\n      c[3] = floor(ebias / 2.0);\n      ebias -= c[3] * 2.0;\n      c[2] += floor(ebias) * 128.0;\n\n      c[3] += 128.0 * step(0.0, -v);\n\n      return c / 255.0;\n    }\n\n    void main() {\n      float value = ${o.texture2D}(X,TexCoords).r;\n      ${o.output} = encodeAsUint8(value);\n    }`,a={name:"Uint8Encode",inputTypes:[i.TextureType.unpacked],inputNames:["X"],output:{dims:n,type:e.tensor.type,textureType:i.TextureType.downloadUint8AsFloat},shaderSource:s,hasMain:!0};return t.executeProgram(a,[e.tensor])}},4909:(t,e,n)=>{"use 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Error: ${t}`)}throw new Error("WebGL is not supported")}e.createWebGLContext=function t(e){let n;e&&"webgl2"!==e||!("webgl2"in o)?e&&"webgl"!==e||!("webgl"in o)||(n=o.webgl):n=o.webgl2,n=n||s(e),e=e||1===n.version?"webgl":"webgl2";const r=n.gl;return o[e]=n,r.isContextLost()?(delete o[e],t(e)):(r.disable(r.DEPTH_TEST),r.disable(r.STENCIL_TEST),r.disable(r.BLEND),r.disable(r.DITHER),r.disable(r.POLYGON_OFFSET_FILL),r.disable(r.SAMPLE_COVERAGE),r.enable(r.SCISSOR_TEST),r.enable(r.CULL_FACE),r.cullFace(r.BACK),n)},e.createNewWebGLContext=s},1713:function(t,e,n){"use strict";var r=this&&this.__createBinding||(Object.create?function(t,e,n,r){void 0===r&&(r=n);var i=Object.getOwnPropertyDescriptor(e,n);i&&!("get"in i?!e.__esModule:i.writable||i.configurable)||(i={enumerable:!0,get:function(){return e[n]}}),Object.defineProperty(t,r,i)}:function(t,e,n,r){void 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i=this.gl,o=i.createTexture();i.bindTexture(i.TEXTURE_2D,o),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE);const s=r?n.encode(r,t*e):null;return i.texImage2D(i.TEXTURE_2D,0,n.internalFormat,t,e,0,n.format,n.textureType,s),this.checkError(),o}updateTexture(t,e,n,r,i){const o=this.gl;o.bindTexture(o.TEXTURE_2D,t);const s=r.encode(i,e*n);o.texSubImage2D(o.TEXTURE_2D,0,0,0,e,n,r.format,r.textureType,s),this.checkError()}attachFramebuffer(t,e,n){const r=this.gl;r.bindTexture(r.TEXTURE_2D,t),r.bindFramebuffer(r.FRAMEBUFFER,this.framebuffer),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0),this.checkError(),r.viewport(0,0,e,n),r.scissor(0,0,e,n)}readTexture(t,e,n,r,i,o){const s=this.gl;o||(o=1),this.frameBufferBound||this.attachFramebuffer(t,e,n);const a=this.getEncoder(i,o),u=a.allocate(e*n);return s.bindTexture(s.TEXTURE_2D,t),s.framebufferTexture2D(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0,s.TEXTURE_2D,t,0),s.readPixels(0,0,e,n,s.RGBA,a.textureType,u),this.checkError(),a.decode(u,r)}isFramebufferReady(){return!0}getActiveTexture(){const t=this.gl;return"TEXTURE"+(t.getParameter(this.gl.ACTIVE_TEXTURE)-t.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(t,e){const n=this.gl;n.vertexAttribPointer(t,3,n.FLOAT,!1,20,0),n.enableVertexAttribArray(t),-1!==e&&(n.vertexAttribPointer(e,2,n.FLOAT,!1,20,12),n.enableVertexAttribArray(e)),this.checkError()}createProgram(t,e){const n=this.gl,r=n.createProgram();return n.attachShader(r,t),n.attachShader(r,e),n.linkProgram(r),r}compileShader(t,e){const n=this.gl,r=n.createShader(e);if(!r)throw new Error(`createShader() returned null with type ${e}`);if(n.shaderSource(r,t),n.compileShader(r),!1===n.getShaderParameter(r,n.COMPILE_STATUS))throw new Error(`Failed to compile shader: ${n.getShaderInfoLog(r)}\nShader source:\n${t}`);return r}deleteShader(t){this.gl.deleteShader(t)}bindTextureToUniform(t,e,n){const r=this.gl;r.activeTexture(r.TEXTURE0+e),this.checkError(),r.bindTexture(r.TEXTURE_2D,t),this.checkError(),r.uniform1i(n,e),this.checkError()}draw(){this.gl.drawArrays(this.gl.TRIANGLE_STRIP,0,4),this.checkError()}checkError(){if(s.env.debug){const t=this.gl,e=t.getError();let n="";switch(e){case t.NO_ERROR:return;case t.INVALID_ENUM:n="INVALID_ENUM";break;case t.INVALID_VALUE:n="INVALID_VALUE";break;case t.INVALID_OPERATION:n="INVALID_OPERATION";break;case t.INVALID_FRAMEBUFFER_OPERATION:n="INVALID_FRAMEBUFFER_OPERATION";break;case t.OUT_OF_MEMORY:n="OUT_OF_MEMORY";break;case t.CONTEXT_LOST_WEBGL:n="CONTEXT_LOST_WEBGL";break;default:n=`Unknown WebGL Error: ${e.toString(16)}`}throw new Error(n)}}deleteTexture(t){this.gl.deleteTexture(t)}deleteProgram(t){this.gl.deleteProgram(t)}getEncoder(t,e,n=0){if(2===this.version)return new a.RedFloat32DataEncoder(this.gl,e);switch(t){case"float":return 1===n||this.isRenderFloat32Supported?new a.RGBAFloatDataEncoder(this.gl,e):new a.RGBAFloatDataEncoder(this.gl,e,this.textureHalfFloatExtension.HALF_FLOAT_OES);case"int":throw new Error("not implemented");case"byte":return new a.Uint8DataEncoder(this.gl,e);default:throw new Error(`Invalid dataType: ${t}`)}}clearActiveTextures(){const t=this.gl;for(let e=0;e<this.maxTextureImageUnits;++e)t.activeTexture(t.TEXTURE0+e),t.bindTexture(t.TEXTURE_2D,null)}dispose(){if(this.disposed)return;const t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(this.framebuffer),t.bindBuffer(t.ARRAY_BUFFER,null),t.deleteBuffer(this.vertexbuffer),t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null),t.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(){const t=this.gl,e=t.createBuffer();if(!e)throw new Error("createBuffer() returned null");const n=this.createDefaultGeometry();return t.bindBuffer(t.ARRAY_BUFFER,e),t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW),this.checkError(),e}createFramebuffer(){const t=this.gl.createFramebuffer();if(!t)throw new Error("createFramebuffer returned null");return t}queryVitalParameters(){const t=this.gl;if(this.isFloatTextureAttachableToFrameBuffer=this.checkFloatTextureAttachableToFrameBuffer(),this.isRenderFloat32Supported=this.checkRenderFloat32(),this.isFloat32DownloadSupported=this.checkFloat32Download(),1===this.version&&!this.textureHalfFloatExtension&&!this.isRenderFloat32Supported)throw new Error("both float32 and float16 TextureType are not supported");this.isBlendSupported=!this.isRenderFloat32Supported||this.checkFloat32Blend(),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS),this.version}getExtensions(){2===this.version?(this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float"),this.disjointTimerQueryWebgl2Extension=this.gl.getExtension("EXT_disjoint_timer_query_webgl2")):(this.textureFloatExtension=this.gl.getExtension("OES_texture_float"),this.textureHalfFloatExtension=this.gl.getExtension("OES_texture_half_float"))}checkFloatTextureAttachableToFrameBuffer(){const t=this.gl,e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);const n=2===this.version?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,n,1,1,0,t.RGBA,t.FLOAT,null);const r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0);const i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(e),t.deleteFramebuffer(r),i}checkRenderFloat32(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else{if(!this.textureFloatExtension)return!1;if(!this.gl.getExtension("WEBGL_color_buffer_float"))return!1}return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){const t=this.gl;let e,n,r,i,o;try{e=t.createTexture(),n=t.createFramebuffer(),t.bindTexture(t.TEXTURE_2D,e);const s=2===this.version?t.RGBA32F:t.RGBA;return t.texImage2D(t.TEXTURE_2D,0,s,1,1,0,t.RGBA,t.FLOAT,null),t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0),t.enable(t.BLEND),r=t.createShader(t.VERTEX_SHADER),!!r&&(t.shaderSource(r,"void main(){}"),t.compileShader(r),i=t.createShader(t.FRAGMENT_SHADER),!!i&&(t.shaderSource(i,"precision highp float;void main(){gl_FragColor=vec4(0.5);}"),t.compileShader(i),o=t.createProgram(),!!o&&(t.attachShader(o,r),t.attachShader(o,i),t.linkProgram(o),t.useProgram(o),t.drawArrays(t.POINTS,0,1),t.getError()===t.NO_ERROR)))}finally{t.disable(t.BLEND),o&&t.deleteProgram(o),r&&t.deleteShader(r),i&&t.deleteShader(i),n&&(t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(n)),e&&(t.bindTexture(t.TEXTURE_2D,null),t.deleteTexture(e))}}beginTimer(){if(2===this.version&&this.disjointTimerQueryWebgl2Extension){const t=this.gl,e=this.disjointTimerQueryWebgl2Extension,n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}throw new Error("WebGL1 profiling currently not supported.")}endTimer(){if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const t=this.gl,e=this.disjointTimerQueryWebgl2Extension;t.endQuery(e.TIME_ELAPSED_EXT)}}isTimerResultAvailable(t){let e=!1,n=!1;if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const r=this.gl,i=this.disjointTimerQueryWebgl2Extension;e=r.getQueryParameter(t,r.QUERY_RESULT_AVAILABLE),n=r.getParameter(i.GPU_DISJOINT_EXT)}return e&&!n}getTimerResult(t){let e=0;if(2!==this.version)throw new Error("WebGL1 profiling currently not supported");{const n=this.gl;e=n.getQueryParameter(t,n.QUERY_RESULT),n.deleteQuery(t)}return e/1e6}async waitForQueryAndGetTime(t){return await(0,u.repeatedTry)((()=>this.isTimerResultAvailable(t))),this.getTimerResult(t)}async createAndWaitForFence(){const t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e;const n=t,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);return t.flush(),e=null===r?()=>!0:()=>{const t=n.clientWaitSync(r,0,0);return t===n.ALREADY_SIGNALED||t===n.CONDITION_SATISFIED},{query:r,isFencePassed:e}}async pollFence(t){return new Promise((e=>{this.addItemToPoll((()=>t.isFencePassed()),(()=>e()))}))}pollItems(){const t=l(this.itemsToPoll.map((t=>t.isDoneFn)));for(let e=0;e<=t;++e){const{resolveFn:t}=this.itemsToPoll[e];t()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}async addItemToPoll(t,e){this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||await(0,u.repeatedTry)((()=>(this.pollItems(),0===this.itemsToPoll.length)))}}},1036:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.ExecutionPlan=void 0;const r=n(6231);class i{constructor(t,e){this.op=t,this.node=e}}e.ExecutionPlan=class{constructor(t,e,n){this.graph=t,this.profiler=n,this.initialize(e)}initialize(t){this.profiler.event("session","ExecutionPlan.initialize",(()=>{const e=this.graph.getNodes();if(e.length!==t.length)throw new Error("The size of nodes and OPs do not match.");this._ops=t.map(((t,n)=>new i(t,e[n]))),this.reset(),this._starter=[],this._ops.forEach(((t,e)=>{let n=!0;for(const e of t.node.inputs)if(!this._values[e]&&-1===this.graph.getInputIndices().indexOf(e)){n=!1;break}n&&this._starter.push(e)}))}))}reset(){this._values=this.graph.getValues().map((t=>t.tensor))}async execute(t,e){return this.profiler.event("session","ExecutionPlan.execute",(async()=>{this.reset();const n=t.createInferenceHandler(),i=this.graph.getInputIndices();if(e.length!==i.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${e.length} expected: ${i.length}`);e.forEach(((t,e)=>{const n=i[e];this._values[n]=t}));const o=this._starter.slice(0),s=this.graph.getValues(),a=this.graph.getNodes();let u=0;for(;u<o.length;){const t=o[u++],e=this._ops[t],i=e.node.inputs.map((t=>this._values[t]));if(-1!==i.indexOf(void 0))throw new Error(`unresolved input detected: op: ${e.node}`);const l=i;r.Logger.verbose("ExecPlan",`Runing op:${e.node.name} (${l.map(((t,n)=>`'${e.node.inputs[n]}': ${t.type}[${t.dims.join(",")}]`)).join(", ")})`);const c=await this.profiler.event("node",e.node.name,(async()=>e.op.impl(n,l,e.op.context)));if(c.length!==e.node.outputs.length)throw new Error("the size of output does not match model definition.");c.forEach(((t,n)=>{const r=e.node.outputs[n];if(this._values[r])throw new Error(`output [${r}] already has value: op:${e.node.name}`);this._values[r]=t}));const d=new Set;c.forEach(((t,n)=>{const r=e.node.outputs[n];for(const t of s[r].to){const e=a[t];let n=!0;for(const t of e.inputs)if(!this._values[t]){n=!1;break}n&&d.add(t)}})),o.push(...d)}const l=[];for(let t=0;t<this.graph.getOutputIndices().length;t++){const e=this.graph.getOutputIndices()[t],n=this._values[e];if(void 0===n)throw new Error(`required output [${e}] does not have value`);0===e?await n.getData():n.data,l.push(n)}return r.Logger.verbose("ExecPlan","disposing of inferenceHandler"),n.dispose(),l}))}}},7070:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.Graph=void 0;const r=n(1446),i=n(7778),o=n(9395),s=n(9162),a=n(2517);var u=o.onnxruntime.experimental.fbs;e.Graph={from:(t,e)=>new d(t,e)};class l{constructor(t){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,t&&(this.type=a.ProtoUtil.tensorValueTypeFromProto(t.type.tensorType))}get from(){return this._from}get to(){return this._to}}class c{constructor(t,e){t instanceof r.onnx.NodeProto?(this.name=t.name,this.opType=t.opType,this.attributes=new i.Attribute(t.attribute)):t instanceof u.Node&&(this.name=null!=e?e:t.name(),this.opType=t.opType(),this.attributes=new i.Attribute(a.ProtoUtil.tensorAttributesFromORTFormat(t))),this.inputs=[],this.outputs=[],this.executeNode=!0}}class d{constructor(t,e){if(!t)throw new TypeError("graph is empty");this.buildGraph(t),this.transformGraph(e),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(t){if(t instanceof r.onnx.GraphProto)this.buildGraphFromOnnxFormat(t);else{if(!(t instanceof u.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(t)}}buildGraphFromOnnxFormat(t){const e=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const n=new Map;if(!t.input)throw new Error("missing information in graph: input");const r=[];for(const n of t.input){if(e.has(n.name))throw new Error(`duplicated input name: ${n.name}`);const t=this._allData.push(new l(n))-1;e.set(n.name,t),r.push(n.name)}if(!t.initializer)throw new Error("missing information in graph: initializer");for(const n of t.initializer){let t=e.get(n.name);if(void 0===t){const r=new l;r.type={shape:{dims:a.ProtoUtil.tensorDimsFromProto(n.dims)},tensorType:a.ProtoUtil.tensorDataTypeFromProto(n.dataType)},t=this._allData.push(r)-1,e.set(n.name,t)}this._allData[t]._from=-1,this._allData[t].tensor=s.Tensor.fromProto(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(r[t]));if(!t.output)throw new Error("missing information in graph: output");for(const n of t.output){if(e.has(n.name))throw new Error(`duplicated output name: ${n.name}`);const t=this._allData.push(new l(n))-1;e.set(n.name,t),this._allOutputIndices.push(t),this._allOutputNames.push(n.name)}if(!t.node)throw new Error("missing information in graph: node");for(const e of t.node){if(!e.name)for(let t=0;;t++){const r=`unnamed_${e.opType}_${t}`;if(!n.has(r)){e.name=r;break}}if(n.has(e.name))throw new Error(`duplicated node name: ${e.name}`);const t=this._nodes.push(new c(e))-1;n.set(e.name,t)}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.output)throw new Error(`missing output for node: ${i.name}`);for(const t of i.output){let o=e.get(t);if(void 0===o&&(o=this._allData.push(new l)-1,e.set(t,o)),r.outputs.push(o),void 0!==this._allData[o]._from)throw new Error(`multiple nodes output to one data value: ${o}`);if(this._allData[o]._from=n,"Constant"===i.opType){if(!i.attribute||1!==i.attribute.length||!i.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!i.output||1!==i.output.length)throw new Error("missing output or incorrect number of outputs for this Constant operator");r.outputs.pop(),r.executeNode=!1,this._allData[o]._from=-1,this._allData[o].tensor=s.Tensor.fromProto(i.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.input)throw new Error(`missing input for node: ${i.name}`);for(const t of i.input){const o=e.get(t);if(void 0===o){if(""===t&&3===i.input.length&&"Resize"===i.opType)continue;throw new Error(`unrecognized input '${t}' for node: ${i.name}`)}r.inputs.push(o),this._allData[o]._to.push(n)}}return!0}buildGraphFromOrtFormat(t){var e,n,r;const i=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const o=new Map,d=[];for(let o=0;o<t.inputsLength();o++){const s=t.inputs(o);if(i.has(s))throw new Error(`duplicated input name: ${s}`);for(let o=0;o<t.nodeArgsLength();o++)if((null===(e=t.nodeArgs(o))||void 0===e?void 0:e.name())===s){const e=new l;if((null===(r=null===(n=t.nodeArgs(o))||void 0===n?void 0:n.type())||void 0===r?void 0:r.valueType())!==u.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");const c=t.nodeArgs(o).type().value(new u.TensorTypeAndShape),p=a.ProtoUtil.tensorDataTypeFromProto(c.elemType()),h=c.shape(),f=[];for(let t=0;t<h.dimLength();t++)f.push(a.LongUtil.longToNumber(h.dim(t).value().dimValue()));e.type={shape:{dims:f},tensorType:p};const g=this._allData.push(e)-1;i.set(s,g),d.push(s)}}for(let e=0;e<t.initializersLength();e++){const n=t.initializers(e);let r=i.get(n.name());if(void 0===r){const t=new l,e=a.ProtoUtil.tensorDimsFromORTFormat(n),o=a.ProtoUtil.tensorDataTypeFromProto(n.dataType());t.type={shape:{dims:e},tensorType:o},r=this._allData.push(t)-1,i.set(n.name(),r)}this._allData[r]._from=-1,this._allData[r].tensor=s.Tensor.fromOrtTensor(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(d[t]));for(let e=0;e<t.outputsLength();e++){const n=t.outputs(e);if(i.has(n))throw new Error(`duplicated output name: ${n}`);const r=this._allData.push(new l)-1;i.set(n,r),this._allOutputIndices.push(r),this._allOutputNames.push(n)}if(!t.nodes)throw new Error("missing information in graph: node");for(let e=0;e<t.nodesLength();e++){const n=t.nodes(e);let r=n.name();if(!r)for(let t=0;r=`unnamed_${n.opType()}_${t}`,o.has(r);t++);if(o.has(r))throw new Error(`duplicated node name: ${r}`);const i=this._nodes.push(new c(n,r))-1;o.set(r,i)}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(null==r)throw new Error(`No node exists at index ${e}`);if(0===(null==r?void 0:r.outputsLength()))throw new Error(`missing output for node: ${r.name}`);for(let t=0;t<(null==r?void 0:r.outputsLength());t++){const o=null==r?void 0:r.outputs(t);let a=i.get(o);if(void 0===a&&(a=this._allData.push(new l)-1,i.set(o,a)),n.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=e,"Constant"===r.opType()){if(1!==r.attributesLength()||!r.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(1!==r.outputsLength())throw new Error("missing output or incorrect number of outputs for this Constant operator");n.outputs.pop(),n.executeNode=!1,this._allData[a]._from=-1,this._allData[a].tensor=s.Tensor.fromOrtTensor(r.attributes(0).t())}}}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(0===r.inputsLength())throw new Error(`missing input for node: ${r.name}`);for(let t=0;t<r.inputsLength();t++){const o=r.inputs(t),s=i.get(o);if(void 0===s)throw new Error(`unrecognized input '${o}' for node: ${r.name()}`);n.inputs.push(s),this._allData[s]._to.push(e)}}}checkIsAcyclic(){const t=new Set;this._allInputIndices.forEach((e=>{this._allData[e]._to.forEach((e=>{t.add(e)}))}));const e=Array.from(t),n=new 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n.startSessionState(t),n.addKernels(t,e),n.addSubGraphSessionStates(t,r),n.endSessionState(t)}}e.SessionState=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsInferenceSession(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsInferenceSession(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static bufferHasIdentifier(t){return t.__has_identifier("ORTM")}ortVersion(t){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}model(e){let n=this.bb.__offset(this.bb_pos,6);return n?(e||new t.experimental.fbs.Model).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}sessionState(e){let n=this.bb.__offset(this.bb_pos,8);return n?(e||new t.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startInferenceSession(t){t.startObject(3)}static addOrtVersion(t,e){t.addFieldOffset(0,e,0)}static addModel(t,e){t.addFieldOffset(1,e,0)}static addSessionState(t,e){t.addFieldOffset(2,e,0)}static endInferenceSession(t){return t.endObject()}static finishInferenceSessionBuffer(t,e){t.finish(e,"ORTM")}static finishSizePrefixedInferenceSessionBuffer(t,e){t.finish(e,"ORTM",!0)}static createInferenceSession(t,e,r,i){return n.startInferenceSession(t),n.addOrtVersion(t,e),n.addModel(t,r),n.addSessionState(t,i),n.endInferenceSession(t)}}e.InferenceSession=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={}))},7448:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.OnnxjsSessionHandler=void 0;const r=n(8453),i=n(9162);e.OnnxjsSessionHandler=class{constructor(t){this.session=t,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(t,e,n){const o=new Map;for(const e in t)if(Object.hasOwnProperty.call(t,e)){const n=t[e];o.set(e,new i.Tensor(n.dims,n.type,void 0,void 0,n.data))}const s=await this.session.run(o),a={};return s.forEach(((t,e)=>{a[e]=new r.Tensor(t.type,t.data,t.dims)})),a}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6919:(t,e,n)=>{"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.Session=void 0;const r=n(7067),i=n(1296),o=n(7091),s=n(1036),a=n(6231),u=n(2644);e.Session=class{constructor(t={}){this._initialized=!1,this.backendHint=t.backendHint,this.profiler=a.Profiler.create(t.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(t,e,n){await this.profiler.event("session","Session.loadModel",(async()=>{const s=await(0,o.resolveBackend)(this.backendHint);if(this.sessionHandler=s.createSessionHandler(this.context),this._model=new u.Model,"string"==typeof t){const e=t.endsWith(".ort");if("undefined"==typeof fetch){const n=await(0,i.promisify)(r.readFile)(t);this.initialize(n,e)}else{const n=await fetch(t),r=await n.arrayBuffer();this.initialize(new Uint8Array(r),e)}}else if(ArrayBuffer.isView(t))this.initialize(t);else{const r=new Uint8Array(t,e||0,n||t.byteLength);this.initialize(r)}}))}initialize(t,e){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",(()=>{const n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(t,n,e),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new s.ExecutionPlan(this._model.graph,this._ops,this.profiler)})),this._initialized=!0}async run(t){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",(async()=>{const e=this.normalizeAndValidateInputs(t),n=await this._executionPlan.execute(this.sessionHandler,e);return this.createOutput(n)}))}normalizeAndValidateInputs(t){const e=this._model.graph.getInputNames();if(Array.isArray(t)){if(t.length!==e.length)throw new Error(`incorrect input array length: expected ${e.length} but got ${t.length}`)}else{if(t.size!==e.length)throw new Error(`incorrect input map size: expected ${e.length} but got ${t.size}`);const n=new Array(t.size);let r=0;for(let i=0;i<e.length;++i){const o=t.get(e[i]);if(!o)throw new Error(`missing input tensor for: '${name}'`);n[r++]=o}t=n}if(this.context.graphInputTypes&&0!==this.context.graphInputTypes.length&&this.context.graphInputDims&&0!==this.context.graphInputDims.length)this.validateInputTensorDims(this.context.graphInputDims,t,!1);else{const e=this._model.graph.getInputIndices(),n=this._model.graph.getValues(),r=new Array(e.length);for(let i=0;i<e.length;++i){const o=n[e[i]];r[i]=o.type.shape.dims,this.context.graphInputTypes.push(o.type.tensorType),this.context.graphInputDims.push(t[i].dims)}this.validateInputTensorDims(r,t,!0)}return this.validateInputTensorTypes(this.context.graphInputTypes,t),t}validateInputTensorTypes(t,e){for(let n=0;n<e.length;n++){const r=t[n],i=e[n].type;if(r!==i)throw new Error(`input tensor[${n}] check failed: expected type '${r}' but got ${i}`)}}validateInputTensorDims(t,e,n){for(let r=0;r<e.length;r++){const i=t[r],o=e[r].dims;if(!this.compareTensorDims(i,o,n))throw new Error(`input tensor[${r}] check failed: expected shape '[${i.join(",")}]' but got [${o.join(",")}]`)}}compareTensorDims(t,e,n){if(t.length!==e.length)return!1;for(let r=0;r<t.length;++r)if(t[r]!==e[r]&&(!n||0!==t[r]))return!1;return!0}createOutput(t){const e=this._model.graph.getOutputNames();if(t.length!==e.length)throw new Error("expected number of outputs do not match number of generated outputs");const n=new Map;for(let r=0;r<e.length;++r)n.set(e[r],t[r]);return n}initializeOps(t){const e=t.getNodes();this._ops=new Array(e.length);for(let n=0;n<e.length;n++)this._ops[n]=this.sessionHandler.resolve(e[n],this._model.opsets,t)}}},9162:function(t,e,n){"use strict";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.Tensor=void 0;const i=n(3442),o=r(n(3720)),s=n(1446),a=n(9395),u=n(2517);var l=a.onnxruntime.experimental.fbs;class c{get data(){if(void 0===this.cache){const t=this.dataProvider(this.dataId);if(t.length!==this.size)throw new Error("Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.");this.cache=t}return this.cache}get stringData(){if("string"!==this.type)throw new TypeError("data type is not string");return this.data}get integerData(){switch(this.type){case"uint8":case"int8":case"uint16":case"int16":case"int32":case"uint32":case"bool":return this.data;default:throw new TypeError("data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)")}}get floatData(){switch(this.type){case"float32":case"float64":return this.data;default:throw new TypeError("data type is not float (float32, float64)")}}get numberData(){if("string"!==this.type)return this.data;throw new TypeError("type cannot be non-number (string)")}get(t){return this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]}set(t,e){this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]=e}async getData(){return void 0===this.cache&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=u.ShapeUtil.computeStrides(this.dims)),this._strides}constructor(t,e,n,r,o,s=i.Guid.create()){this.dims=t,this.type=e,this.dataProvider=n,this.asyncDataProvider=r,this.cache=o,this.dataId=s,this.size=u.ShapeUtil.validateDimsAndCalcSize(t);const a=this.size,l=void 0===n&&void 0===r&&void 0===o;if(void 0!==o&&o.length!==a)throw new RangeError("Input dims doesn't match data length.");if("string"===e){if(!(void 0===o||Array.isArray(o)&&o.every((t=>"string"==typeof t))))throw new TypeError("cache should be a string array");l&&(this.cache=new Array(a))}else{if(void 0!==o){const t=p(e);if(!(o instanceof t))throw new TypeError(`cache should be type ${t.name}`)}if(l){const t=new ArrayBuffer(a*function(t){switch(t){case"bool":case"int8":case"uint8":return 1;case"int16":case"uint16":return 2;case"int32":case"uint32":case"float32":return 4;case"float64":return 8;default:throw new Error(`cannot calculate sizeof() on type ${t}`)}}(e));this.cache=function(t,e){return new(p(e))(t)}(t,e)}}}static fromProto(t){if(!t)throw new Error("cannot construct Value from an empty tensor");const e=u.ProtoUtil.tensorDataTypeFromProto(t.dataType),n=u.ProtoUtil.tensorDimsFromProto(t.dims),r=new c(n,e);if("string"===e)t.stringData.forEach(((t,e)=>{r.data[e]=(0,u.decodeUtf8String)(t)}));else if(t.rawData&&"number"==typeof t.rawData.byteLength&&t.rawData.byteLength>0){const e=r.data,n=new DataView(t.rawData.buffer,t.rawData.byteOffset,t.rawData.byteLength),i=d(t.dataType),o=t.rawData.byteLength/i;if(t.rawData.byteLength%i!=0)throw new Error("invalid buffer length");if(e.length!==o)throw new Error("buffer length mismatch");for(let r=0;r<o;r++){const o=f(n,t.dataType,r*i);e[r]=o}}else{let e;switch(t.dataType){case s.onnx.TensorProto.DataType.FLOAT:e=t.floatData;break;case s.onnx.TensorProto.DataType.INT32:case s.onnx.TensorProto.DataType.INT16:case s.onnx.TensorProto.DataType.UINT16:case s.onnx.TensorProto.DataType.INT8:case s.onnx.TensorProto.DataType.UINT8:case s.onnx.TensorProto.DataType.BOOL:e=t.int32Data;break;case s.onnx.TensorProto.DataType.INT64:e=t.int64Data;break;case s.onnx.TensorProto.DataType.DOUBLE:e=t.doubleData;break;case s.onnx.TensorProto.DataType.UINT32:case s.onnx.TensorProto.DataType.UINT64:e=t.uint64Data;break;default:throw new Error("unspecific error")}if(null==e)throw new Error("failed to populate data from a tensorproto value");const n=r.data;if(n.length!==e.length)throw new Error("array length mismatch");for(let r=0;r<e.length;r++){const i=e[r];o.default.isLong(i)?n[r]=h(i,t.dataType):n[r]=i}}return r}static fromData(t,e,n){return new c(e,n,void 0,void 0,t)}static fromOrtTensor(t){if(!t)throw new Error("cannot construct Value from an empty tensor");const e=u.ProtoUtil.tensorDimsFromORTFormat(t),n=u.ProtoUtil.tensorDataTypeFromProto(t.dataType()),r=new c(e,n);if("string"===n)for(let e=0;e<t.stringDataLength();e++)r.data[e]=t.stringData(e);else if(t.rawDataArray()&&"number"==typeof t.rawDataLength()&&t.rawDataLength()>0){const e=r.data,n=new DataView(t.rawDataArray().buffer,t.rawDataArray().byteOffset,t.rawDataLength()),i=d(t.dataType()),o=t.rawDataLength()/i;if(t.rawDataLength()%i!=0)throw new Error("invalid buffer length");if(e.length!==o)throw new Error("buffer length mismatch");for(let r=0;r<o;r++){const o=f(n,t.dataType(),r*i);e[r]=o}}return r}}function d(t){switch(t){case s.onnx.TensorProto.DataType.UINT8:case s.onnx.TensorProto.DataType.INT8:case s.onnx.TensorProto.DataType.BOOL:return 1;case s.onnx.TensorProto.DataType.UINT16:case s.onnx.TensorProto.DataType.INT16:return 2;case s.onnx.TensorProto.DataType.FLOAT:case s.onnx.TensorProto.DataType.INT32:case s.onnx.TensorProto.DataType.UINT32:return 4;case s.onnx.TensorProto.DataType.INT64:case s.onnx.TensorProto.DataType.DOUBLE:case s.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${s.onnx.TensorProto.DataType[t]}`)}}function p(t){switch(t){case"bool":case"uint8":return Uint8Array;case"int8":return Int8Array;case"int16":return Int16Array;case"uint16":return Uint16Array;case"int32":return Int32Array;case"uint32":return Uint32Array;case"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function h(t,e){if(e===s.onnx.TensorProto.DataType.INT64||e===l.TensorDataType.INT64){if(t.greaterThanOrEqual(2147483648)||t.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else{if(e!==s.onnx.TensorProto.DataType.UINT32&&e!==l.TensorDataType.UINT32&&e!==s.onnx.TensorProto.DataType.UINT64&&e!==l.TensorDataType.UINT64)throw new TypeError(`not a LONG type: ${s.onnx.TensorProto.DataType[e]}`);if(t.greaterThanOrEqual(4294967296)||t.lessThan(0))throw new TypeError("uint64 is not supported")}return t.toNumber()}function f(t,e,n){switch(e){case s.onnx.TensorProto.DataType.BOOL:case s.onnx.TensorProto.DataType.UINT8:return t.getUint8(n);case s.onnx.TensorProto.DataType.INT8:return t.getInt8(n);case s.onnx.TensorProto.DataType.UINT16:return t.getUint16(n,!0);case s.onnx.TensorProto.DataType.INT16:return t.getInt16(n,!0);case s.onnx.TensorProto.DataType.FLOAT:return t.getFloat32(n,!0);case s.onnx.TensorProto.DataType.INT32:return t.getInt32(n,!0);case s.onnx.TensorProto.DataType.UINT32:return t.getUint32(n,!0);case s.onnx.TensorProto.DataType.INT64:return h(o.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!1),e);case s.onnx.TensorProto.DataType.DOUBLE:return t.getFloat64(n,!0);case s.onnx.TensorProto.DataType.UINT64:return h(o.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!0),e);default:throw new Error(`cannot read from DataView for type ${s.onnx.TensorProto.DataType[e]}`)}}e.Tensor=c},2517:function(t,e,n){"use strict";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.decodeUtf8String=e.MAX_CLIP=e.MIN_CLIP=e.PoolConvUtil=e.ReduceUtil=e.SplitUtil=e.MathUtil=e.ShapeUtil=e.LongUtil=e.ProtoUtil=e.GemmUtil=e.arrayCopyHelper=e.BroadcastUtil=e.MatMulUtil=e.ArrayUtil=e.assert=e.checkInputsShape=void 0;const i=n(5686),o=r(n(3720)),s=n(1446),a=n(9162);e.checkInputsShape=function(t,...e){if(!t||t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(!t[n].dims||t[n].dims.length!==e[n])return!1;return!0},e.assert=function(t,e){if(!t)throw new Error("string"==typeof e?e:e())},e.ArrayUtil=class{static arraysEqual(t,e){if(t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(t[n]!==e[n])return!1;return!0}};class u{static preprocessInputShapes(t,e){return[1===t.length?[1,t[0]]:t,1===e.length?[e[0],1]:e]}static postprocessOutputShape(t,e,n){1===e&&t.splice(t.length-2,1),1===n&&t.pop()}static calcMatMulShape(t,e){return t[1]!==e[0]?void 0:[t[0],e[1]]}}e.MatMulUtil=u;class l{static calcShape(t,e,n=!1){const r=t.length,i=e.length;if(0===r)return e;if(0===i)return t;const o=Math.max(t.length,e.length),s=new Array(o);if(n){if(r<2||i<2)return;const n=u.calcMatMulShape([t[r-2],t[r-1]],[e[i-2],e[i-1]]);if(void 0===n)return;[s[o-2],s[o-1]]=n}for(let a=n?3:1;a<=o;a++){const n=r-a<0?1:t[r-a],u=i-a<0?1:e[i-a];if(n!==u&&n>1&&u>1)return;s[o-a]=Math.max(n,u)}return s}static index(t,e){const n=new Array(e.length);return l.fillIndex(t,e,n),n}static fillIndex(t,e,n){const r=t.length-e.length;for(let i=0;i<e.length;i++)n[i]=t[r+i]%e[i]}static calc(t,e,n,r,i){const o=l.calcShape(t.dims,e.dims);if(o){if(r&&!p.areEqual(o,t.dims))return;const s=p.size(o),u=r?t:new a.Tensor(o,i||t.type);if(0===o.length)u.set([],n(t.get([]),e.get([])));else{const r=new Array(o.length),i=new Array(t.dims.length),a=new Array(e.dims.length);let c,d=0,p=0,h=!1,f=!1;0===t.dims.length&&(d=t.get([]),h=!0),0===e.dims.length&&(p=e.get([]),f=!0);for(let g=0;g<s;g++){c=g;for(let t=o.length-1;t>=0;t--)r[t]=c%o[t],c=Math.floor(c/o[t]);h||(l.fillIndex(r,t.dims,i),d=t.get(i)),f||(l.fillIndex(r,e.dims,a),p=e.get(a)),u.set(r,n(d,p))}}return u}}static isValidBroadcast(t,e){const n=t.length,r=e.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==t[n-i]&&t[n-i]!==e[r-i])return!1;return!0}static getBroadcastDims(t,e){const n=t.length,r=[];for(let i=0;i<n;i++){const o=n-1-i,s=t[o]||1;(e[e.length-1-i]||1)>1&&1===s&&r.unshift(o)}return r}}e.BroadcastUtil=l,e.arrayCopyHelper=function(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)t[n+o]=e[r+o]},e.GemmUtil=class{static getShapeOfGemmResult(t,e,n,r,i){if(2!==t.length||2!==n.length)throw new Error("shape need to be of size 2");let o,s,a;e?(o=t[1],s=t[0]):(o=t[0],s=t[1]);let u=-1;if(r?(a=n[0],u=1):(a=n[1],u=0),n[u]!==s)throw new Error("dimension mismatch");if(o<=0||a<=0||s<=0)throw new Error("invalid shape specified");if(i&&!l.isValidBroadcast(i,[o,a]))throw new Error("gemm: invalid bias shape for broadcast");return[o,a,s]}};class c{static tensorDataTypeFromProto(t){switch(t){case s.onnx.TensorProto.DataType.INT8:return"int8";case s.onnx.TensorProto.DataType.UINT8:return"uint8";case s.onnx.TensorProto.DataType.BOOL:return"bool";case s.onnx.TensorProto.DataType.INT16:return"int16";case s.onnx.TensorProto.DataType.UINT16:return"uint16";case s.onnx.TensorProto.DataType.INT32:return"int32";case s.onnx.TensorProto.DataType.UINT32:return"uint32";case s.onnx.TensorProto.DataType.FLOAT:return"float32";case s.onnx.TensorProto.DataType.DOUBLE:return"float64";case s.onnx.TensorProto.DataType.STRING:return"string";case s.onnx.TensorProto.DataType.INT64:return"int32";case s.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${s.onnx.TensorProto.DataType[t]}`)}}static tensorDataTypeStringToEnum(t){switch(t){case"int8":return s.onnx.TensorProto.DataType.INT8;case"uint8":return s.onnx.TensorProto.DataType.UINT8;case"bool":return s.onnx.TensorProto.DataType.BOOL;case"int16":return s.onnx.TensorProto.DataType.INT16;case"uint16":return s.onnx.TensorProto.DataType.UINT16;case"int32":return s.onnx.TensorProto.DataType.INT32;case"uint32":return s.onnx.TensorProto.DataType.UINT32;case"float32":return s.onnx.TensorProto.DataType.FLOAT;case"float64":return s.onnx.TensorProto.DataType.DOUBLE;case"string":return s.onnx.TensorProto.DataType.STRING;case"int64":return s.onnx.TensorProto.DataType.INT64;case"uint64":return s.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${t}`)}}static tensorDimsFromProto(t){return t.map((t=>o.default.isLong(t)?t.toNumber():t))}static tensorValueTypeFromProto(t){return{tensorType:c.tensorDataTypeFromProto(t.elemType),shape:{dims:c.tensorDimsFromProto(t.shape.dim.map((t=>t.dimValue)))}}}static tensorDimsFromORTFormat(t){const e=[];for(let n=0;n<t.dimsLength();n++)e.push(d.longToNumber(t.dims(n)));return e}static tensorAttributesFromORTFormat(t){const e=[];for(let n=0;n<t.attributesLength();n++)e.push(t.attributes(n));return e}}e.ProtoUtil=c;class d{static longToNumber(t,e){return o.default.isLong(t)?t.toNumber():t instanceof i.flatbuffers.Long?o.default.fromValue({low:t.low,high:t.high,unsigned:null!=e&&e}).toNumber():t}static isLong(t){return o.default.isLong(t)||t instanceof i.flatbuffers.Long}}e.LongUtil=d;class p{static size(t){return p.getSizeFromDimensionRange(t,0,t.length)}static sizeFromDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeFromDimension as Tensor has ${t.length} dimensions.`);return p.getSizeFromDimensionRange(t,e,t.length)}static sizeToDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeToDimension as Tensor has ${t.length} dimensions.`);return p.getSizeFromDimensionRange(t,0,e)}static getSizeFromDimensionRange(t,e,n){let r=1;for(let i=e;i<n;i++){if(t[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=t[i]}return r}static computeStrides(t){const e=t.length;if(0===e)return[];if(1===e)return[1];const n=new Array(e);n[e-1]=1,n[e-2]=t[e-1];for(let r=e-3;r>=0;--r)n[r]=n[r+1]*t[r+1];return n}static transpose(t){return t.slice().reverse()}static indicesToOffset(t,e,n){void 0===n&&(n=t.length);let r=0;for(let i=0;i<n;++i)r+=e[i]*t[i];return r}static offsetToIndices(t,e){const n=e.length;if(0===n)return[];if(1===n)return[t*e[0]];const r=new Array(e.length);for(let n=0;n<r.length-1;++n)r[n]=Math.floor(t/e[n]),t-=r[n]*e[n];return r[r.length-1]=t,r}static normalizeAxis(t,e){if(t<-e&&t>=e)throw new Error("unsupported axis for this operation.");return t<0?t+e:t}static normalizeAxes(t,e){return t.map((t=>this.normalizeAxis(t,e)))}static incrementIndex(t,e,n){if(0===e.length||0===t.length)throw new Error("Index incrementing unsupported for scalar Tensor");if(void 0===n)n=e.length;else if(n<=0||n>e.length)throw new Error("Incorrect axis to increment on");for(let r=n-1;r>=0&&(t[r]++,!(t[r]<e[r]));--r)t[r]=0}static calculateReshapedDims(t,e){if(0===e.length){if(0===t.length||1===p.size(t))return[];throw new Error("cannot reshape to a scalar Tensor")}const n=e.length,r=new Array(n);let i=-1,o=1;for(let s=0;s<n;s++){if(e[s]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(-1===e[s]){if(-1!==i)throw new Error("at most one dimension in shape hints can be -1");i=s}else{if(0===e[s]){if(s>=t.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");r[s]=t[s]}else r[s]=e[s];o*=r[s]}}const s=p.size(t);if(-1!==i){if(s%o!=0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${t}] Output shape: [${e}]`);r[i]=s/o}else if(o!==s)throw new Error("reshapedDims and originalDims don't have matching sizes");return r}static sortBasedOnPerm(t,e){return e?e.map((e=>t[e])):t.slice().reverse()}static padShape(t,e){const n=t.length;return t.map(((t,r)=>t+e[r]+e[r+n]))}static areEqual(t,e){return t.length===e.length&&t.every(((t,n)=>t===e[n]))}static validateDimsAndCalcSize(t){if(t.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let e=1;for(const n of t){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`);e*=n}return e}static flattenShape(t,e){e<0&&(e+=t.length);const n=t.reduce(((t,e)=>t*e),1),r=t.slice(e).reduce(((t,e)=>t*e),1);return[n/r,r]}static squeezeShape(t,e){const n=new Array;e=p.normalizeAxes(e,t.length);for(let r=0;r<t.length;r++){const i=e.indexOf(r)>=0;if(i&&1!==t[r])throw new Error("squeeze an axis of size different than 1");(0===e.length&&t[r]>1||e.length>0&&!i)&&n.push(t[r])}return n}static unsqueezeShape(t,e){const n=new Array(t.length+e.length);n.fill(0);for(let t=0;t<e.length;t++){const r=p.normalizeAxis(e[t],n.length);if(r>=n.length)throw new Error("'axes' has an out of range axis");if(0!==n[r])throw new Error("'axes' has a duplicate axis");n[r]=1}let r=0;for(let e=0;e<n.length;e++)0===n[e]&&(n[e]=t[r++]);if(r!==t.length)throw new Error("the unsqueezed dimension could not be established");return n}}e.ShapeUtil=p,e.MathUtil=class{static sqr(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)t[n+o]+=Math.pow(e[r+o],2)}static axpy(t,e,n,r,i,o){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let s=0;s<i;s++)t[n+s]+=o*e[r+s]}static powx(t,e,n,r,i,o){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let s=0;s<i;s++)t[n+s]=Math.pow(e[r+s],o)}static mul(t,e,n,r,i){if(r<0||r>=e.length)throw new Error("sourceIndex out of bounds");if(n<0||n>=t.length)throw new Error("targetIndex out of bounds");if(r+i>e.length)throw new Error("source indices to be copied are outside bounds");if(n+i>t.length)throw new Error("target array is too small to hold result");for(let o=0;o<i;o++)t[n+o]=e[r+o]*t[n+o]}};class h{static splitShape(t,e,n,r){if(0===n.length){if(!r)throw new Error("need to know number of outputs when the 'split' attribute is not specified");h.determineSplit(t[e],r,n)}const i=[],o=[0];for(let r=0;r<n.length;++r){0!==r&&o.push(o[r-1]+n[r-1]);const s=t.slice();s[e]=n[r],i.push(s)}return[i,o]}static determineSplit(t,e,n){if(t%e!=0)throw new Error("cannot split tensor to equal sized parts");for(let r=0;r<e;++r)n.push(t/e)}}e.SplitUtil=h;class f{static calcReduce(t,e,n,r,i){const o=t.dims.slice(0);0===e.length&&o.forEach(((t,n)=>e.push(n)));const s=f.calcReduceShape(o,e,!0),u=p.size(s),c=new a.Tensor(s,t.type),d=p.computeStrides(s),h=p.computeStrides(o),g=new Array(o.length);for(let n=0;n<u;n++){const s=p.offsetToIndices(n,d);l.fillIndex(s,o,g),c.set(s,f.calcReduceByAxis(t.numberData,e,o,0,p.indicesToOffset(g,h),r,i))}return n?c:new a.Tensor(f.calcReduceShape(o,e,n),c.type,void 0,void 0,c.data,c.dataId)}static calcReduceByAxis(t,e,n,r,i,o,s){let a=0;if(r>=e.length)return o(t[i]);const u=e[r],l=u>=n.length?1:p.size(n.slice(u+1));for(let c=0;c<n[u];c++)a=0===c?f.calcReduceByAxis(t,e,n,r+1,i,o,s):s(a,f.calcReduceByAxis(t,e,n,r+1,i,o,s)),i+=l;return a}static calcReduceShape(t,e,n){const r=t.slice();for(let t=0;t<e.length;t++)r[e[t]]=n?1:0;return r.filter((t=>0!==t))}}e.ReduceUtil=f;class g{static adjustPoolAttributes(t,e,n,r,i,o){if(!t&&n.length!==e.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(t)for(let t=0;t<e.length-2;t++)t>=n.length?n.push(e[t+2]):n[t]=e[t+2];for(let t=0;t<n.length;t++)if(t<r.length){if(r[t]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let t=0;t<n.length;t++)if(t<i.length){if(i[t]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let t=0;t<2*n.length;t++)if(t<o.length){if(o[t]<0)throw new Error("pad should be greater than or equal to 1")}else o.push(0);for(let t=0;t<n.length;t++){if(n[t]<=0)throw new Error("kernel shapes need to be greater than 0");if(o[t]>=n[t]||o[t+n.length]>=n[t])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(t,e,n,r,i,o){if(o){if(i.length!==2*(t.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(e.length!==t.length-2)throw new Error("length of strides should be the length of data dimensions");if(r.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++)g.adjustPadAndReturnShape(t[s+2],e[s],n[s],r[s],i,s,s+t.length-2,o)}}static computePoolOutputShape(t,e,n,r,i,o,s){if(e.length<=0)throw new Error("input shape must be of size greater than 0");const a=[e[0],e[1]];return g.computeShapeHelper(t,e,a,n,r,i,o,s),a}static computeConvOutputShape(t,e,n,r,i,o,s){if(t.length<=0||e.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");const a=[t[0],e[0]];return g.computeShapeHelper(!1,t,a,n,r,i,o,s),a}static computeShapeHelper(t,e,n,r,i,o,s,a){if(t)for(let t=0;t<e.length-2;t++)n.push(1);else for(let t=0;t<e.length-2;t++)n.push(g.adjustPadAndReturnShape(e[t+2],r[t],i[t],o[t],s,t,t+e.length-2,a))}static adjustPadAndReturnShape(t,e,n,r,i,o,s,a){const u=n*(r-1)+1;if(!a||"NOTSET"===a)return Math.floor((t+i[o]+i[s]-u)/e+1);switch(a){case"VALID":return i[o]=0,i[s]=0,Math.floor((t-u)/e+1);case"SAME_LOWER":case"SAME_UPPER":if(1!==n)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{const n=((t+e-1)/e-1)*e+r-t;return i[o]="SAME_LOWER"===a?Math.floor((n+1)/2):Math.floor(n/2),i[s]=n-i[o],Math.floor((t+n-r)/e+1)}default:throw new Error("Unsupported AutoPad type")}}}e.PoolConvUtil=g,e.MIN_CLIP=-34028234663852886e22,e.MAX_CLIP=34028234663852886e22,e.decodeUtf8String=function(t){return(new TextDecoder).decode(t)}},7067:()=>{},1296:()=>{},5686:(t,e,n)=>{"use strict";n.r(e),n.d(e,{flatbuffers:()=>r});var 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