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vendor: 6,333 bytes, line 6
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e=t;else{e=[];for(var n=0;n<t.length;){var r,i=t.charCodeAt(n++);(r=i<55296||i>=56320?i:(i<<10)+t.charCodeAt(n++)+-56613888)<128?e.push(r):(r<2048?e.push(r>>6&31|192):(r<65536?e.push(r>>12&15|224):e.push(r>>18&7|240,r>>12&63|128),e.push(r>>6&63|128)),e.push(63&r|128))}}this.addInt8(0),this.startVector(1,e.length,1),this.bb.setPosition(this.space-=e.length),n=0;for(var o=this.space,s=this.bb.bytes();n<e.length;n++)s[o++]=e[n];return this.endVector()},T.Builder.prototype.createLong=function(t,e){return T.Long.create(t,e)},T.ByteBuffer=function(t){this.bytes_=t,this.position_=0},T.ByteBuffer.allocate=function(t){return new T.ByteBuffer(new Uint8Array(t))},T.ByteBuffer.prototype.clear=function(){this.position_=0},T.ByteBuffer.prototype.bytes=function(){return this.bytes_},T.ByteBuffer.prototype.position=function(){return this.position_},T.ByteBuffer.prototype.setPosition=function(t){this.position_=t},T.ByteBuffer.prototype.capacity=function(){return this.bytes_.length},T.ByteBuffer.prototype.readInt8=function(t){return this.readUint8(t)<<24>>24},T.ByteBuffer.prototype.readUint8=function(t){return this.bytes_[t]},T.ByteBuffer.prototype.readInt16=function(t){return this.readUint16(t)<<16>>16},T.ByteBuffer.prototype.readUint16=function(t){return this.bytes_[t]|this.bytes_[t+1]<<8},T.ByteBuffer.prototype.readInt32=function(t){return this.bytes_[t]|this.bytes_[t+1]<<8|this.bytes_[t+2]<<16|this.bytes_[t+3]<<24},T.ByteBuffer.prototype.readUint32=function(t){return this.readInt32(t)>>>0},T.ByteBuffer.prototype.readInt64=function(t){return new T.Long(this.readInt32(t),this.readInt32(t+4))},T.ByteBuffer.prototype.readUint64=function(t){return new T.Long(this.readUint32(t),this.readUint32(t+4))},T.ByteBuffer.prototype.readFloat32=function(t){return T.int32[0]=this.readInt32(t),T.float32[0]},T.ByteBuffer.prototype.readFloat64=function(t){return T.int32[T.isLittleEndian?0:1]=this.readInt32(t),T.int32[T.isLittleEndian?1:0]=this.readInt32(t+4),T.float64[0]},T.ByteBuffer.prototype.writeInt8=function(t,e){this.bytes_[t]=e},T.ByteBuffer.prototype.writeUint8=function(t,e){this.bytes_[t]=e},T.ByteBuffer.prototype.writeInt16=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8},T.ByteBuffer.prototype.writeUint16=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8},T.ByteBuffer.prototype.writeInt32=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24},T.ByteBuffer.prototype.writeUint32=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24},T.ByteBuffer.prototype.writeInt64=function(t,e){this.writeInt32(t,e.low),this.writeInt32(t+4,e.high)},T.ByteBuffer.prototype.writeUint64=function(t,e){this.writeUint32(t,e.low),this.writeUint32(t+4,e.high)},T.ByteBuffer.prototype.writeFloat32=function(t,e){T.float32[0]=e,this.writeInt32(t,T.int32[0])},T.ByteBuffer.prototype.writeFloat64=function(t,e){T.float64[0]=e,this.writeInt32(t,T.int32[T.isLittleEndian?0:1]),this.writeInt32(t+4,T.int32[T.isLittleEndian?1:0])},T.ByteBuffer.prototype.getBufferIdentifier=function(){if(this.bytes_.length<this.position_+T.SIZEOF_INT+T.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: ByteBuffer is too short to contain an identifier.");for(var t="",e=0;e<T.FILE_IDENTIFIER_LENGTH;e++)t+=String.fromCharCode(this.readInt8(this.position_+T.SIZEOF_INT+e));return t},T.ByteBuffer.prototype.__offset=function(t,e){var n=t-this.readInt32(t);return e<this.readInt16(n)?this.readInt16(n+e):0},T.ByteBuffer.prototype.__union=function(t,e){return t.bb_pos=e+this.readInt32(e),t.bb=this,t},T.ByteBuffer.prototype.__string=function(t,e){t+=this.readInt32(t);var n=this.readInt32(t),r="",i=0;if(t+=T.SIZEOF_INT,e===T.Encoding.UTF8_BYTES)return this.bytes_.subarray(t,t+n);for(;i<n;){var o,s=this.readUint8(t+i++);if(s<192)o=s;else{var a=this.readUint8(t+i++);if(s<224)o=(31&s)<<6|63&a;else{var u=this.readUint8(t+i++);o=s<240?(15&s)<<12|(63&a)<<6|63&u:(7&s)<<18|(63&a)<<12|(63&u)<<6|63&this.readUint8(t+i++)}}o<65536?r+=String.fromCharCode(o):(o-=65536,r+=String.fromCharCode(55296+(o>>10),56320+(1023&o)))}return r},T.ByteBuffer.prototype.__indirect=function(t){return 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createDimVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startDimVector(t,e){t.startVector(4,e,4)}static endShape(t){return t.endObject()}static createShape(t,e){return n.startShape(t),n.addDim(t,e),n.endShape(t)}}e.Shape=n})(e.fbs||(e.fbs={}))})(t.experimental||(t.experimental={}))})(F||(F={})),(t=>{(e=>{(e=>{class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDimension(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDimension(t,e){return t.setPosition(t.position()+T.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}value(e){let n=this.bb.__offset(this.bb_pos,4);return n?(e||new t.experimental.fbs.DimensionValue).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}denotation(t){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__string(this.bb_pos+e,t):null}static startDimension(t){t.startObject(2)}static addValue(t,e){t.addFieldOffset(0,e,0)}static addDenotation(t,e){t.addFieldOffset(1,e,0)}static endDimension(t){return t.endObject()}static createDimension(t,e,r){return n.startDimension(t),n.addValue(t,e),n.addDenotation(t,r),n.endDimension(t)}}e.Dimension=n})(e.fbs||(e.fbs={}))})(t.experimental||(t.experimental={}))})(F||(F={})),(t=>{(t=>{(t=>{class e{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDimensionValue(t,n){return(n||new e).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDimensionValue(t,n){return t.setPosition(t.position()+T.SIZE_PREFIX_LENGTH),(n||new e).__init(t.readInt32(t.position())+t.position(),t)}dimType(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt8(this.bb_pos+t):0}dimValue(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.readInt64(this.bb_pos+t):this.bb.createLong(0,0)}dimParam(t){let e=this.bb.__offset(this.bb_pos,8);return e?this.bb.__string(this.bb_pos+e,t):null}static startDimensionValue(t){t.startObject(3)}static addDimType(t,e){t.addFieldInt8(0,e,0)}static addDimValue(t,e){t.addFieldInt64(1,e,t.createLong(0,0))}static addDimParam(t,e){t.addFieldOffset(2,e,0)}static endDimensionValue(t){return t.endObject()}static createDimensionValue(t,n,r,i){return e.startDimensionValue(t),e.addDimType(t,n),e.addDimValue(t,r),e.addDimParam(t,i),e.endDimensionValue(t)}}t.DimensionValue=e})(t.fbs||(t.fbs={}))})(t.experimental||(t.experimental={}))})(F||(F={})),(t=>{(e=>{(e=>{class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsTensorTypeAndShape(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsTensorTypeAndShape(t,e){return t.setPosition(t.position()+T.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}elemType(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt32(this.bb_pos+t):0}shape(e){let n=this.bb.__offset(this.bb_pos,6);return n?(e||new t.experimental.fbs.Shape).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startTensorTypeAndShape(t){t.startObject(2)}static addElemType(t,e){t.addFieldInt32(0,e,0)}static addShape(t,e){t.addFieldOffset(1,e,0)}static endTensorTypeAndShape(t){return t.endObject()}static createTensorTypeAndShape(t,e,r){return n.startTensorTypeAndShape(t),n.addElemType(t,e),n.addShape(t,r),n.endTensorTypeAndShape(t)}}e.TensorTypeAndShape=n})(e.fbs||(e.fbs={}))})(t.experimental||(t.experimental={}))})(F||(F={})),(t=>{(e=>{(e=>{class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsMapType(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsMapType(t,e){return t.setPosition(t.position()+T.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}keyType(){let t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt32(this.bb_pos+t):0}valueType(e){let n=this.bb.__offset(this.bb_pos,6);return n?(e||new t.experimental.fbs.TypeInfo).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startMapType(t){t.startObject(2)}static addKeyType(t,e){t.addFieldInt32(0,e,0)}static addValueType(t,e){t.addFieldOffset(1,e,0)}static endMapType(t){return t.endObject()}static createMapType(t,e,r){return n.startMapType(t),n.addKeyType(t,e),n.addValueType(t,r),n.endMapType(t)}}e.MapType=n})(e.fbs||(e.fbs={}))})(t.experimental||(t.experimental={}))})(F||(F={})),(t=>{(e=>{(e=>{class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSequenceType(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSequenceType(t,e){return t.setPosition(t.position()+T.SIZE_PREFIX_LENGTH),(e||new 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vendor: 32,316 bytes, line 6
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expected");for(e.strings=[],n=0;n<t.strings.length;++n)"string"==typeof t.strings[n]?o.base64.decode(t.strings[n],e.strings[n]=o.newBuffer(o.base64.length(t.strings[n])),0):t.strings[n].length>=0&&(e.strings[n]=t.strings[n])}if(t.tensors){if(!Array.isArray(t.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");for(e.tensors=[],n=0;n<t.tensors.length;++n){if("object"!=typeof t.tensors[n])throw TypeError(".onnx.AttributeProto.tensors: object expected");e.tensors[n]=s.onnx.TensorProto.fromObject(t.tensors[n])}}if(t.graphs){if(!Array.isArray(t.graphs))throw 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]=s.onnx.GraphProto.fromObject(t.graphs[n])}}if(t.sparseTensors){if(!Array.isArray(t.sparseTensors))throw TypeError(".onnx.AttributeProto.sparseTensors: array 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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?o.Long.prototype.toString.call(t.ints[i]):e.longs===Number?new o.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?o.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]=s.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]=s.onnx.GraphProto.toObject(t.graphs[i],e);if(null!=t.docString&&t.hasOwnProperty("docString")&&(n.docString=t.docString),null!=t.tp&&t.hasOwnProperty("tp")&&(n.tp=s.onnx.TypeProto.toObject(t.tp,e)),t.typeProtos&&t.typeProtos.length)for(n.typeProtos=[],i=0;i<t.typeProtos.length;++i)n.typeProtos[i]=s.onnx.TypeProto.toObject(t.typeProtos[i],e);if(null!=t.type&&t.hasOwnProperty("type")&&(n.type=e.enums===String?void 0===s.onnx.AttributeProto.AttributeType[t.type]?t.type:s.onnx.AttributeProto.AttributeType[t.type]:t.type),null!=t.refAttrName&&t.hasOwnProperty("refAttrName")&&(n.refAttrName=t.refAttrName),null!=t.sparseTensor&&t.hasOwnProperty("sparseTensor")&&(n.sparseTensor=s.onnx.SparseTensorProto.toObject(t.sparseTensor,e)),t.sparseTensors&&t.sparseTensors.length)for(n.sparseTensors=[],i=0;i<t.sparseTensors.length;++i)n.sparseTensors[i]=s.onnx.SparseTensorProto.toObject(t.sparseTensors[i],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.AttributeProto"},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[11]="SPARSE_TENSOR"]=11,e[t[13]="TYPE_PROTO"]=13,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[12]="SPARSE_TENSORS"]=12,e[t[14]="TYPE_PROTOS"]=14,e}(),t}(),a.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=i.create()),null!=t.name&&Object.hasOwnProperty.call(t,"name")&&e.uint32(10).string(t.name),null!=t.type&&Object.hasOwnProperty.call(t,"type")&&s.onnx.TypeProto.encode(t.type,e.uint32(18).fork()).ldelim(),null!=t.docString&&Object.hasOwnProperty.call(t,"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 r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.ValueInfoProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:i.name=t.string();break;case 2:i.type=s.onnx.TypeProto.decode(t,t.uint32());break;case 3:i.docString=t.string();break;default:t.skipType(7&o)}}return i},t.decodeDelimited=function(t){return t instanceof r||(t=new r(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")&&!o.isString(t.name))return"name: string expected";if(null!=t.type&&t.hasOwnProperty("type")){var e=s.onnx.TypeProto.verify(t.type);if(e)return"type."+e}return null!=t.docString&&t.hasOwnProperty("docString")&&!o.isString(t.docString)?"docString: string expected":null},t.fromObject=function(t){if(t instanceof s.onnx.ValueInfoProto)return t;var e=new s.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=s.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=s.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,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.ValueInfoProto"},t}(),a.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=o.emptyArray,t.prototype.output=o.emptyArray,t.prototype.name="",t.prototype.opType="",t.prototype.domain="",t.prototype.attribute=o.emptyArray,t.prototype.docString="",t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=i.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&&Object.hasOwnProperty.call(t,"name")&&e.uint32(26).string(t.name),null!=t.opType&&Object.hasOwnProperty.call(t,"opType")&&e.uint32(34).string(t.opType),null!=t.attribute&&t.attribute.length)for(n=0;n<t.attribute.length;++n)s.onnx.AttributeProto.encode(t.attribute[n],e.uint32(42).fork()).ldelim();return null!=t.docString&&Object.hasOwnProperty.call(t,"docString")&&e.uint32(50).string(t.docString),null!=t.domain&&Object.hasOwnProperty.call(t,"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 r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.NodeProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:i.input&&i.input.length||(i.input=[]),i.input.push(t.string());break;case 2:i.output&&i.output.length||(i.output=[]),i.output.push(t.string());break;case 3:i.name=t.string();break;case 4:i.opType=t.string();break;case 7:i.domain=t.string();break;case 5:i.attribute&&i.attribute.length||(i.attribute=[]),i.attribute.push(s.onnx.AttributeProto.decode(t,t.uint32()));break;case 6:i.docString=t.string();break;default:t.skipType(7&o)}}return i},t.decodeDelimited=function(t){return t instanceof r||(t=new r(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(!o.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(!o.isString(t.output[e]))return"output: string[] expected"}if(null!=t.name&&t.hasOwnProperty("name")&&!o.isString(t.name))return"name: string expected";if(null!=t.opType&&t.hasOwnProperty("opType")&&!o.isString(t.opType))return"opType: string expected";if(null!=t.domain&&t.hasOwnProperty("domain")&&!o.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=s.onnx.AttributeProto.verify(t.attribute[e]);if(n)return"attribute."+n}}return null!=t.docString&&t.hasOwnProperty("docString")&&!o.isString(t.docString)?"docString: string expected":null},t.fromObject=function(t){if(t instanceof s.onnx.NodeProto)return t;var e=new s.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]=s.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]=s.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,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.NodeProto"},t}(),a.TrainingInfoProto=function(){function t(t){if(this.initializationBinding=[],this.updateBinding=[],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.initialization=null,t.prototype.algorithm=null,t.prototype.initializationBinding=o.emptyArray,t.prototype.updateBinding=o.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=i.create()),null!=t.initialization&&Object.hasOwnProperty.call(t,"initialization")&&s.onnx.GraphProto.encode(t.initialization,e.uint32(10).fork()).ldelim(),null!=t.algorithm&&Object.hasOwnProperty.call(t,"algorithm")&&s.onnx.GraphProto.encode(t.algorithm,e.uint32(18).fork()).ldelim(),null!=t.initializationBinding&&t.initializationBinding.length)for(var n=0;n<t.initializationBinding.length;++n)s.onnx.StringStringEntryProto.encode(t.initializationBinding[n],e.uint32(26).fork()).ldelim();if(null!=t.updateBinding&&t.updateBinding.length)for(n=0;n<t.updateBinding.length;++n)s.onnx.StringStringEntryProto.encode(t.updateBinding[n],e.uint32(34).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.TrainingInfoProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:i.initialization=s.onnx.GraphProto.decode(t,t.uint32());break;case 2:i.algorithm=s.onnx.GraphProto.decode(t,t.uint32());break;case 3:i.initializationBinding&&i.initializationBinding.length||(i.initializationBinding=[]),i.initializationBinding.push(s.onnx.StringStringEntryProto.decode(t,t.uint32()));break;case 4:i.updateBinding&&i.updateBinding.length||(i.updateBinding=[]),i.updateBinding.push(s.onnx.StringStringEntryProto.decode(t,t.uint32()));break;default:t.skipType(7&o)}}return i},t.decodeDelimited=function(t){return t instanceof r||(t=new r(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.initialization&&t.hasOwnProperty("initialization")&&(n=s.onnx.GraphProto.verify(t.initialization)))return"initialization."+n;if(null!=t.algorithm&&t.hasOwnProperty("algorithm")&&(n=s.onnx.GraphProto.verify(t.algorithm)))return"algorithm."+n;if(null!=t.initializationBinding&&t.hasOwnProperty("initializationBinding")){if(!Array.isArray(t.initializationBinding))return"initializationBinding: array expected";for(var e=0;e<t.initializationBinding.length;++e)if(n=s.onnx.StringStringEntryProto.verify(t.initializationBinding[e]))return"initializationBinding."+n}if(null!=t.updateBinding&&t.hasOwnProperty("updateBinding")){if(!Array.isArray(t.updateBinding))return"updateBinding: array expected";for(e=0;e<t.updateBinding.length;++e){var n;if(n=s.onnx.StringStringEntryProto.verify(t.updateBinding[e]))return"updateBinding."+n}}return null},t.fromObject=function(t){if(t instanceof s.onnx.TrainingInfoProto)return t;var e=new s.onnx.TrainingInfoProto;if(null!=t.initialization){if("object"!=typeof t.initialization)throw TypeError(".onnx.TrainingInfoProto.initialization: object expected");e.initialization=s.onnx.GraphProto.fromObject(t.initialization)}if(null!=t.algorithm){if("object"!=typeof t.algorithm)throw TypeError(".onnx.TrainingInfoProto.algorithm: object expected");e.algorithm=s.onnx.GraphProto.fromObject(t.algorithm)}if(t.initializationBinding){if(!Array.isArray(t.initializationBinding))throw TypeError(".onnx.TrainingInfoProto.initializationBinding: array expected");e.initializationBinding=[];for(var n=0;n<t.initializationBinding.length;++n){if("object"!=typeof t.initializationBinding[n])throw TypeError(".onnx.TrainingInfoProto.initializationBinding: object expected");e.initializationBinding[n]=s.onnx.StringStringEntryProto.fromObject(t.initializationBinding[n])}}if(t.updateBinding){if(!Array.isArray(t.updateBinding))throw TypeError(".onnx.TrainingInfoProto.updateBinding: array expected");for(e.updateBinding=[],n=0;n<t.updateBinding.length;++n){if("object"!=typeof t.updateBinding[n])throw TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");e.updateBinding[n]=s.onnx.StringStringEntryProto.fromObject(t.updateBinding[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.initializationBinding=[],n.updateBinding=[]),e.defaults&&(n.initialization=null,n.algorithm=null),null!=t.initialization&&t.hasOwnProperty("initialization")&&(n.initialization=s.onnx.GraphProto.toObject(t.initialization,e)),null!=t.algorithm&&t.hasOwnProperty("algorithm")&&(n.algorithm=s.onnx.GraphProto.toObject(t.algorithm,e)),t.initializationBinding&&t.initializationBinding.length){n.initializationBinding=[];for(var r=0;r<t.initializationBinding.length;++r)n.initializationBinding[r]=s.onnx.StringStringEntryProto.toObject(t.initializationBinding[r],e)}if(t.updateBinding&&t.updateBinding.length)for(n.updateBinding=[],r=0;r<t.updateBinding.length;++r)n.updateBinding[r]=s.onnx.StringStringEntryProto.toObject(t.updateBinding[r],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.TrainingInfoProto"},t}(),a.ModelProto=function(){function t(t){if(this.opsetImport=[],this.metadataProps=[],this.trainingInfo=[],this.functions=[],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=o.Long?o.Long.fromBits(0,0,!1):0,t.prototype.opsetImport=o.emptyArray,t.prototype.producerName="",t.prototype.producerVersion="",t.prototype.domain="",t.prototype.modelVersion=o.Long?o.Long.fromBits(0,0,!1):0,t.prototype.docString="",t.prototype.graph=null,t.prototype.metadataProps=o.emptyArray,t.prototype.trainingInfo=o.emptyArray,t.prototype.functions=o.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=i.create()),null!=t.irVersion&&Object.hasOwnProperty.call(t,"irVersion")&&e.uint32(8).int64(t.irVersion),null!=t.producerName&&Object.hasOwnProperty.call(t,"producerName")&&e.uint32(18).string(t.producerName),null!=t.producerVersion&&Object.hasOwnProperty.call(t,"producerVersion")&&e.uint32(26).string(t.producerVersion),null!=t.domain&&Object.hasOwnProperty.call(t,"domain")&&e.uint32(34).string(t.domain),null!=t.modelVersion&&Object.hasOwnProperty.call(t,"modelVersion")&&e.uint32(40).int64(t.modelVersion),null!=t.docString&&Object.hasOwnProperty.call(t,"docString")&&e.uint32(50).string(t.docString),null!=t.graph&&Object.hasOwnProperty.call(t,"graph")&&s.onnx.GraphProto.encode(t.graph,e.uint32(58).fork()).ldelim(),null!=t.opsetImport&&t.opsetImport.length)for(var n=0;n<t.opsetImport.length;++n)s.onnx.OperatorSetIdProto.encode(t.opsetImport[n],e.uint32(66).fork()).ldelim();if(null!=t.metadataProps&&t.metadataProps.length)for(n=0;n<t.metadataProps.length;++n)s.onnx.StringStringEntryProto.encode(t.metadataProps[n],e.uint32(114).fork()).ldelim();if(null!=t.trainingInfo&&t.trainingInfo.length)for(n=0;n<t.trainingInfo.length;++n)s.onnx.TrainingInfoProto.encode(t.trainingInfo[n],e.uint32(162).fork()).ldelim();if(null!=t.functions&&t.functions.length)for(n=0;n<t.functions.length;++n)s.onnx.FunctionProto.encode(t.functions[n],e.uint32(202).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.ModelProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:i.irVersion=t.int64();break;case 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e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.GraphProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:i.node&&i.node.length||(i.node=[]),i.node.push(s.onnx.NodeProto.decode(t,t.uint32()));break;case 2:i.name=t.string();break;case 5:i.initializer&&i.initializer.length||(i.initializer=[]),i.initializer.push(s.onnx.TensorProto.decode(t,t.uint32()));break;case 15:i.sparseInitializer&&i.sparseInitializer.length||(i.sparseInitializer=[]),i.sparseInitializer.push(s.onnx.SparseTensorProto.decode(t,t.uint32()));break;case 10:i.docString=t.string();break;case 11:i.input&&i.input.length||(i.input=[]),i.input.push(s.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 12:i.output&&i.output.length||(i.output=[]),i.output.push(s.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 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r=0;r<t.node.length;++r)n.node[r]=s.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]=s.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]=s.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]=s.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]=s.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]=s.onnx.TensorAnnotation.toObject(t.quantizationAnnotation[r],e);if(t.sparseInitializer&&t.sparseInitializer.length)for(n.sparseInitializer=[],r=0;r<t.sparseInitializer.length;++r)n.sparseInitializer[r]=s.onnx.SparseTensorProto.toObject(t.sparseInitializer[r],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.GraphProto"},t}(),a.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=o.emptyArray,t.prototype.dataType=0,t.prototype.segment=null,t.prototype.floatData=o.emptyArray,t.prototype.int32Data=o.emptyArray,t.prototype.stringData=o.emptyArray,t.prototype.int64Data=o.emptyArray,t.prototype.name="",t.prototype.docString="",t.prototype.rawData=o.newBuffer([]),t.prototype.externalData=o.emptyArray,t.prototype.dataLocation=0,t.prototype.doubleData=o.emptyArray,t.prototype.uint64Data=o.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=i.create()),null!=t.dims&&t.dims.length){e.uint32(10).fork();for(var n=0;n<t.dims.length;++n)e.int64(t.dims[n]);e.ldelim()}if(null!=t.dataType&&Object.hasOwnProperty.call(t,"dataType")&&e.uint32(16).int32(t.dataType),null!=t.segment&&Object.hasOwnProperty.call(t,"segment")&&s.onnx.TensorProto.Segment.encode(t.segment,e.uint32(26).fork()).ldelim(),null!=t.floatData&&t.floatData.length){for(e.uint32(34).fork(),n=0;n<t.floatData.length;++n)e.float(t.floatData[n]);e.ldelim()}if(null!=t.int32Data&&t.int32Data.length){for(e.uint32(42).fork(),n=0;n<t.int32Data.length;++n)e.int32(t.int32Data[n]);e.ldelim()}if(null!=t.stringData&&t.stringData.length)for(n=0;n<t.stringData.length;++n)e.uint32(50).bytes(t.stringData[n]);if(null!=t.int64Data&&t.int64Data.length){for(e.uint32(58).fork(),n=0;n<t.int64Data.length;++n)e.int64(t.int64Data[n]);e.ldelim()}if(null!=t.name&&Object.hasOwnProperty.call(t,"name")&&e.uint32(66).string(t.name),null!=t.rawData&&Object.hasOwnProperty.call(t,"rawData")&&e.uint32(74).bytes(t.rawData),null!=t.doubleData&&t.doubleData.length){for(e.uint32(82).fork(),n=0;n<t.doubleData.length;++n)e.double(t.doubleData[n]);e.ldelim()}if(null!=t.uint64Data&&t.uint64Data.length){for(e.uint32(90).fork(),n=0;n<t.uint64Data.length;++n)e.uint64(t.uint64Data[n]);e.ldelim()}if(null!=t.docString&&Object.hasOwnProperty.call(t,"docString")&&e.uint32(98).string(t.docString),null!=t.externalData&&t.externalData.length)for(n=0;n<t.externalData.length;++n)s.onnx.StringStringEntryProto.encode(t.externalData[n],e.uint32(106).fork()).ldelim();return null!=t.dataLocation&&Object.hasOwnProperty.call(t,"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 r||(t=r.create(t));for(var n=void 0===e?t.len:t.pos+e,i=new s.onnx.TensorProto;t.pos<n;){var o=t.uint32();switch(o>>>3){case 1:if(i.dims&&i.dims.length||(i.dims=[]),2==(7&o))for(var a=t.uint32()+t.pos;t.pos<a;)i.dims.push(t.int64());else i.dims.push(t.int64());break;case 2:i.dataType=t.int32();break;case 3:i.segment=s.onnx.TensorProto.Segment.decode(t,t.uint32());break;case 4:if(i.floatData&&i.floatData.length||(i.floatData=[]),2==(7&o))for(a=t.uint32()+t.pos;t.pos<a;)i.floatData.push(t.float());else i.floatData.push(t.float());break;case 5:if(i.int32Data&&i.int32Data.length||(i.int32Data=[]),2==(7&o))for(a=t.uint32()+t.pos;t.pos<a;)i.int32Data.push(t.int32());else i.int32Data.push(t.int32());break;case 6:i.stringData&&i.stringData.length||(i.stringData=[]),i.stringData.push(t.bytes());break;case 7:if(i.int64Data&&i.int64Data.length||(i.int64Data=[]),2==(7&o))for(a=t.uint32()+t.pos;t.pos<a;)i.int64Data.push(t.int64());else i.int64Data.push(t.int64());break;case 8:i.name=t.string();break;case 12:i.docString=t.string();break;case 9:i.rawData=t.bytes();break;case 13:i.externalData&&i.externalData.length||(i.externalData=[]),i.externalData.push(s.onnx.StringStringEntryProto.decode(t,t.uint32()));break;case 14:i.dataLocation=t.int32();break;case 10:if(i.doubleData&&i.doubleData.length||(i.doubleData=[]),2==(7&o))for(a=t.uint32()+t.pos;t.pos<a;)i.doubleData.push(t.double());else i.doubleData.push(t.double());break;case 11:if(i.uint64Data&&i.uint64Data.length||(i.uint64Data=[]),2==(7&o))for(a=t.uint32()+t.pos;t.pos<a;)i.uint64Data.push(t.uint64());else i.uint64Data.push(t.uint64());break;default:t.skipType(7&o)}}return i},t.decodeDelimited=function(t){return t instanceof r||(t=new r(t)),this.decode(t,t.uint32())},t.verify=function(t){if("object"!=typeof t||null===t)return"object expected";if(null!=t.dims&&t.hasOwnProperty("dims")){if(!Array.isArray(t.dims))return"dims: array expected";for(var e=0;e<t.dims.length;++e)if(!(o.isInteger(t.dims[e])||t.dims[e]&&o.isInteger(t.dims[e].low)&&o.isInteger(t.dims[e].high)))return"dims: integer|Long[] expected"}if(null!=t.dataType&&t.hasOwnProperty("dataType")&&!o.isInteger(t.dataType))return"dataType: integer expected";if(null!=t.segment&&t.hasOwnProperty("segment")&&(n=s.onnx.TensorProto.Segment.verify(t.segment)))return"segment."+n;if(null!=t.floatData&&t.hasOwnProperty("floatData")){if(!Array.isArray(t.floatData))return"floatData: array expected";for(e=0;e<t.floatData.length;++e)if("number"!=typeof t.floatData[e])return"floatData: number[] expected"}if(null!=t.int32Data&&t.hasOwnProperty("int32Data")){if(!Array.isArray(t.int32Data))return"int32Data: array expected";for(e=0;e<t.int32Data.length;++e)if(!o.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||o.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(!(o.isInteger(t.int64Data[e])||t.int64Data[e]&&o.isInteger(t.int64Data[e].low)&&o.isInteger(t.int64Data[e].high)))return"int64Data: integer|Long[] expected"}if(null!=t.name&&t.hasOwnProperty("name")&&!o.isString(t.name))return"name: string expected";if(null!=t.docString&&t.hasOwnProperty("docString")&&!o.isString(t.docString))return"docString: string expected";if(null!=t.rawData&&t.hasOwnProperty("rawData")&&!(t.rawData&&"number"==typeof t.rawData.length||o.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=s.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 expected";for(e=0;e<t.uint64Data.length;++e)if(!(o.isInteger(t.uint64Data[e])||t.uint64Data[e]&&o.isInteger(t.uint64Data[e].low)&&o.isInteger(t.uint64Data[e].high)))return"uint64Data: integer|Long[] expected"}return null},t.fromObject=function(t){if(t instanceof s.onnx.TensorProto)return t;var e=new s.onnx.TensorProto;if(t.dims){if(!Array.isArray(t.dims))throw TypeError(".onnx.TensorProto.dims: array expected");e.dims=[];for(var n=0;n<t.dims.length;++n)o.Long?(e.dims[n]=o.Long.fromValue(t.dims[n])).unsigned=!1:"string"==typeof t.dims[n]?e.dims[n]=parseInt(t.dims[n],10):"number"==typeof t.dims[n]?e.dims[n]=t.dims[n]:"object"==typeof t.dims[n]&&(e.dims[n]=new o.LongBits(t.dims[n].low>>>0,t.dims[n].high>>>0).toNumber())}if(null!=t.dataType&&(e.dataType=0|t.dataType),null!=t.segment){if("object"!=typeof t.segment)throw TypeError(".onnx.TensorProto.segment: object expected");e.segment=s.onnx.TensorProto.Segment.fromObject(t.segment)}if(t.floatData){if(!Array.isArray(t.floatData))throw 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]?o.base64.decode(t.stringData[n],e.stringData[n]=o.newBuffer(o.base64.length(t.stringData[n])),0):t.stringData[n].length>=0&&(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)o.Long?(e.int64Data[n]=o.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 o.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?o.base64.decode(t.rawData,e.rawData=o.newBuffer(o.base64.length(t.rawData)),0):t.rawData.length>=0&&(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]=s.onnx.StringStringEntryProto.fromObject(t.externalData[n])}}switch(t.dataLocation){default:if("number"==typeof t.dataLocation){e.dataLocation=t.dataLocation;break}break;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)o.Long?(e.uint64Data[n]=o.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 o.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=o.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?o.Long.prototype.toString.call(t.dims[r]):e.longs===Number?new o.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=s.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?o.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?o.Long.prototype.toString.call(t.int64Data[r]):e.longs===Number?new o.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?o.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?o.Long.prototype.toString.call(t.uint64Data[r]):e.longs===Number?new o.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]=s.onnx.StringStringEntryProto.toObject(t.externalData[r],e);return null!=t.dataLocation&&t.hasOwnProperty("dataLocation")&&(n.dataLocation=e.enums===String?void 0===s.onnx.TensorProto.DataLocation[t.dataLocation]?t.dataLocation:s.onnx.TensorProto.DataLocation[t.dataLocation]:t.dataLocation),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,n.util.toJSONOptions)},t.getTypeUrl=function(t){return void 0===t&&(t="type.googleapis.com"),t+"/onnx.TensorProto"},t.DataType=function(){var t={},e=Object.create(t);return 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vendor: 9,855 bytes, line 6
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ot,Ge,ni,$t,_n,_t,Nt,B,$r,Me,Ue,Ve,Y=O(()=>{xn(),zo(),ot=rr(sr()),ze(),Ge=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}},ni=class{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]]}},$t=class t{static calcShape(t,e,n=!1){let r=t.length,i=e.length;if(0===r)return e;if(0===i)return t;let o=Math.max(t.length,e.length),s=new Array(o);if(n){if(r<2||i<2)return;let n=ni.calcMatMulShape([t[r-2],t[r-1]],[e[i-2],e[i-1]]);if(void 0===n)return;[s[o-2],s[o-1]]=n}for(let a=n?3:1;a<=o;a++){let n=r-a<0?1:t[r-a],u=i-a<0?1:e[i-a];if(n!==u&&n>1&&u>1)return;s[o-a]=Math.max(n,u)}return s}static index(e,n){let r=new Array(n.length);return t.fillIndex(e,n,r),r}static fillIndex(t,e,n){let r=t.length-e.length;for(let i=0;i<e.length;i++)n[i]=t[r+i]%e[i]}static calc(e,n,r,i,o){let s=t.calcShape(e.dims,n.dims);if(s){if(i&&!B.areEqual(s,e.dims))return;let a=B.size(s),u=i?e:new bt(s,o||e.type);if(0===s.length)u.set([],r(e.get([]),n.get([])));else{let i,o=new Array(s.length),l=new Array(e.dims.length),p=new Array(n.dims.length),c=0,d=0,h=!1,f=!1;0===e.dims.length&&(c=e.get([]),h=!0),0===n.dims.length&&(d=n.get([]),f=!0);for(let g=0;g<a;g++){i=g;for(let t=s.length-1;t>=0;t--)o[t]=i%s[t],i=Math.floor(i/s[t]);h||(t.fillIndex(o,e.dims,l),c=e.get(l)),f||(t.fillIndex(o,n.dims,p),d=n.get(p)),u.set(o,r(c,d))}}return u}}static isValidBroadcast(t,e){let n=t.length,r=e.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==t[n-i]&&t[n-i]!==e[r-i])return!1;return!0}static getBroadcastDims(t,e){let n=t.length,r=[];for(let i=0;i<n;i++){let o=n-1-i,s=t[o]||1;(e[e.length-1-i]||1)>1&&1===s&&r.unshift(o)}return r}},_n=class{static getShapeOfGemmResult(t,e,n,r,i){if(2!==t.length||2!==n.length)throw new Error("shape need to be of size 2");let o,s,a;e?(o=t[1],s=t[0]):(o=t[0],s=t[1]);let u=-1;if(r?(a=n[0],u=1):(a=n[1],u=0),n[u]!==s)throw new Error("dimension mismatch");if(o<=0||a<=0||s<=0)throw new Error("invalid shape specified");if(i&&!$t.isValidBroadcast(i,[o,a]))throw new Error("gemm: invalid bias shape for broadcast");return[o,a,s]}},_t=class t{static tensorDataTypeFromProto(t){switch(t){case ot.onnx.TensorProto.DataType.INT8:return"int8";case ot.onnx.TensorProto.DataType.UINT8:return"uint8";case ot.onnx.TensorProto.DataType.BOOL:return"bool";case ot.onnx.TensorProto.DataType.INT16:return"int16";case ot.onnx.TensorProto.DataType.UINT16:return"uint16";case ot.onnx.TensorProto.DataType.INT32:return"int32";case ot.onnx.TensorProto.DataType.UINT32:return"uint32";case ot.onnx.TensorProto.DataType.FLOAT:return"float32";case ot.onnx.TensorProto.DataType.DOUBLE:return"float64";case ot.onnx.TensorProto.DataType.STRING:return"string";case ot.onnx.TensorProto.DataType.INT64:return"int32";case ot.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${ot.onnx.TensorProto.DataType[t]}`)}}static tensorDataTypeStringToEnum(t){switch(t){case"int8":return ot.onnx.TensorProto.DataType.INT8;case"uint8":return ot.onnx.TensorProto.DataType.UINT8;case"bool":return ot.onnx.TensorProto.DataType.BOOL;case"int16":return ot.onnx.TensorProto.DataType.INT16;case"uint16":return ot.onnx.TensorProto.DataType.UINT16;case"int32":return ot.onnx.TensorProto.DataType.INT32;case"uint32":return ot.onnx.TensorProto.DataType.UINT32;case"float32":return ot.onnx.TensorProto.DataType.FLOAT;case"float64":return ot.onnx.TensorProto.DataType.DOUBLE;case"string":return ot.onnx.TensorProto.DataType.STRING;case"int64":return ot.onnx.TensorProto.DataType.INT64;case"uint64":return ot.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${t}`)}}static tensorDimsFromProto(t){return t.map(t=>me.isLong(t)?t.toNumber():t)}static tensorValueTypeFromProto(e){return{tensorType:t.tensorDataTypeFromProto(e.elemType),shape:{dims:t.tensorDimsFromProto(e.shape.dim.map(t=>t.dimValue))}}}static tensorDimsFromORTFormat(t){let e=[];for(let n=0;n<t.dimsLength();n++)e.push(Nt.longToNumber(t.dims(n)));return e}static tensorAttributesFromORTFormat(t){let e=[];for(let n=0;n<t.attributesLength();n++)e.push(t.attributes(n));return e}},Nt=class{static longToNumber(t,e){return me.isLong(t)?t.toNumber():t instanceof T.Long?me.fromValue({low:t.low,high:t.high,unsigned:e??!1}).toNumber():t}static isLong(t){return me.isLong(t)||t instanceof T.Long}},B=class t{static size(e){return t.getSizeFromDimensionRange(e,0,e.length)}static sizeFromDimension(e,n){if(n<0||n>e.length)throw new Error(`invalid dimension of ${n} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return t.getSizeFromDimensionRange(e,n,e.length)}static sizeToDimension(e,n){if(n<0||n>e.length)throw new Error(`invalid dimension of ${n} for sizeToDimension as Tensor has ${e.length} dimensions.`);return t.getSizeFromDimensionRange(e,0,n)}static getSizeFromDimensionRange(t,e,n){let r=1;for(let i=e;i<n;i++){if(t[i]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=t[i]}return r}static computeStrides(t){let e=t.length;if(0===e)return[];if(1===e)return[1];let n=new Array(e);n[e-1]=1,n[e-2]=t[e-1];for(let r=e-3;r>=0;--r)n[r]=n[r+1]*t[r+1];return n}static transpose(t){return t.slice().reverse()}static indicesToOffset(t,e,n){void 0===n&&(n=t.length);let r=0;for(let i=0;i<n;++i)r+=e[i]*t[i];return r}static offsetToIndices(t,e){let n=e.length;if(0===n)return[];if(1===n)return[t*e[0]];let r=new Array(e.length);for(let i=0;i<r.length-1;++i)r[i]=Math.floor(t/e[i]),t-=r[i]*e[i];return r[r.length-1]=t,r}static normalizeAxis(t,e){if(t<-e&&t>=e)throw new Error("unsupported axis for this operation.");return t<0?t+e:t}static normalizeAxes(t,e){return t.map(t=>this.normalizeAxis(t,e))}static incrementIndex(t,e,n){if(0===e.length||0===t.length)throw new Error("Index incrementing unsupported for scalar Tensor");if(void 0===n)n=e.length;else if(n<=0||n>e.length)throw new Error("Incorrect axis to increment on");for(let r=n-1;r>=0&&(t[r]++,!(t[r]<e[r]));
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Input shape: [${e}] Output shape: [${n}]`);i[o]=a/s}else if(s!==a)throw new Error("reshapedDims and originalDims don't have matching sizes");return i}static sortBasedOnPerm(t,e){return e?e.map(e=>t[e]):t.slice().reverse()}static padShape(t,e){let 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(let 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 ${n} is not allowed`);e*=n}return e}static flattenShape(t,e){e<0&&(e+=t.length);let n=t.reduce((t,e)=>t*e,1),r=t.slice(e).reduce((t,e)=>t*e,1);return[n/r,r]}static squeezeShape(e,n){let r=new Array;n=t.normalizeAxes(n,e.length);for(let t=0;t<e.length;t++){let i=n.indexOf(t)>=0;if(i&&1!==e[t])throw new Error("squeeze an axis of size different than 1");(0===n.length&&e[t]>1||n.length>0&&!i)&&r.push(e[t])}return r}static unsqueezeShape(e,n){let r=new Array(e.length+n.length);r.fill(0);for(let o=0;o<n.length;o++){let e=t.normalizeAxis(n[o],r.length);if(e>=r.length)throw new Error("'axes' has an out of range axis");if(0!==r[e])throw new Error("'axes' has a duplicate axis");r[e]=1}let i=0;for(let t=0;t<r.length;t++)0===r[t]&&(r[t]=e[i++]);if(i!==e.length)throw new Error("the unsqueezed dimension could not be established");return r}},$r=class t{static splitShape(e,n,r,i){if(0===r.length){if(!i)throw new Error("need to know number of outputs when the 'split' attribute is not specified");t.determineSplit(e[n],i,r)}let o=[],s=[0];for(let t=0;t<r.length;++t){0!==t&&s.push(s[t-1]+r[t-1]);let i=e.slice();i[n]=r[t],o.push(i)}return[o,s]}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)}},Me=class t{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 s=0;s<e.length-2;s++)s>=n.length?n.push(e[s+2]):n[s]=e[s+2];for(let s=0;s<n.length;s++)if(s<r.length){if(r[s]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let s=0;s<n.length;s++)if(s<i.length){if(i[s]<0)throw new Error("dilations should be greater than or equal to 1")}else i.push(1);for(let s=0;s<2*n.length;s++)if(s<o.length){if(o[s]<0)throw new Error("pad should be greater than or equal to 1")}else o.push(0);for(let s=0;s<n.length;s++){if(n[s]<=0)throw new Error("kernel shapes need to be greater than 0");if(o[s]>=n[s]||o[s+n.length]>=n[s])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,n,r,i,o,s){if(s){if(o.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(n.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(i.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let a=0;a<e.length-2;a++)t.adjustPadAndReturnShape(e[a+2],n[a],r[a],i[a],o,a,a+e.length-2,s)}}static computePoolOutputShape(e,n,r,i,o,s,a){if(n.length<=0)throw new Error("input shape must be of size greater than 0");let u=[n[0],n[1]];return t.computeShapeHelper(e,n,u,r,i,o,s,a),u}static computeConvOutputShape(e,n,r,i,o,s,a){if(e.length<=0||n.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let u=[e[0],n[0]];return t.computeShapeHelper(!1,e,u,r,i,o,s,a),u}static computeShapeHelper(e,n,r,i,o,s,a,u){if(e)for(let t=0;t<n.length-2;t++)r.push(1);else for(let l=0;l<n.length-2;l++)r.push(t.adjustPadAndReturnShape(n[l+2],i[l],o[l],s[l],a,l,l+n.length-2,u))}static adjustPadAndReturnShape(t,e,n,r,i,o,s,a){let 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");{let n=((t+e-1)/e-1)*e+r-t;return i[o]=Math.floor("SAME_LOWER"===a?(n+1)/2:n/2),i[s]=n-i[o],Math.floor((t+n-r)/e+1)}default:throw new Error("Unsupported AutoPad type")}}},Ue=-34028234663852886e22,Ve=34028234663852886e22});function ph(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}`)}}function Vu(t){switch(t){case H.onnx.TensorProto.DataType.UINT8:case H.onnx.TensorProto.DataType.INT8:case H.onnx.TensorProto.DataType.BOOL:return 1;case H.onnx.TensorProto.DataType.UINT16:case H.onnx.TensorProto.DataType.INT16:return 2;case H.onnx.TensorProto.DataType.FLOAT:case H.onnx.TensorProto.DataType.INT32:case H.onnx.TensorProto.DataType.UINT32:return 4;case H.onnx.TensorProto.DataType.INT64:case H.onnx.TensorProto.DataType.DOUBLE:case H.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${H.onnx.TensorProto.DataType[t]}`)}}function dh(t,e){return new(Hu(e))(t)}function Hu(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"int64":return BigInt64Array;case"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function ii(t,e){if(e===H.onnx.TensorProto.DataType.INT64||e===oi.TensorDataType.INT64){if(t.greaterThanOrEqual(2147483648)||t.lessThan(-2147483648))throw new TypeError("int64 is not 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6 i++) {\n vec4 a = ${v};\n vec4 b = ${_};\n\n value += (a.rrbb * b.rgrg);\n value += (a.ggaa * b.baba);\n }\n ${o}\n ${w}\n ${f.output} = value;\n }`;return{...e,output:{dims:u,type:n[0].type,textureType:2},shaderSource:O,hasMain:!0}},Bn=(t,e,n)=>{let r=Lm(e.length>2,n.activationCacheKey);return{...r,get:()=>$m(t,r,e,n)}}}),pf,df=O(()=>{$n(),lf(),xi(),pf=(t,e,n)=>{let r=e[0].dims,i=e[1].dims,o=dr(r,i,n.dilations,n.pads,n.strides),s=t.run(uf(t,e[0],e[1],o,n),[e[0]]),a=t.reshapePacked(e[1],[i[0],i[1]*i[2]*i[3]]),u=3===e.length?[a,s,e[2]]:[a,s],l=t.run(Bn(t,u,n),u);return t.reshapePacked(l,o)}}),Cm,Nm,hf,Ti,wi=O(()=>{j(),Cm=t=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:t}),Nm=(t,e,n,r,i,o)=>{let s=n.dims,a=r.dims,u=i.length,l=Ti(s,a,i,4),p=`\n const int XC = ${s[1]};\n const int XH = ${s[2]};\n const int XW = ${s[3]};\n const int KH = ${o.kernelShape[0]};\n const int KW = ${o.kernelShape[1]};\n const int dilationH = ${o.dilations[0]};\n const int dilationW = ${o.dilations[1]};\n const int strideH = ${o.strides[0]};\n const int strideW = ${o.strides[1]};\n const int padH = ${o.pads[0]};\n const int padW = ${o.pads[1]};\n const int KHKW = KH*KW;\n const int XCKHKW = XC * KHKW;\n const int outputChannels = 4;\n vec4 process(int indices[${u}]) {\n int b = indices[0]; 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6if("nearest"!==r&&"linear"!==r&&(e<11||"cubic"!==r))throw new Error(`unrecognized mode: ${r}`);let i=[];e<9&&(i=t.attributes.getFloats("scales"),Rn(i,r,n));let o=t.attributes.getFloat("extrapolation_value",0),s=e>10?t.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(-1===["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(s))throw new Error(`coordinate_transform_mode '${s}' is not supported`);let a="tf_crop_and_resize"===s,u=a,l="nearest"===r&&e>=11?t.attributes.getString("nearest_mode","round_prefer_floor"):"";if(-1===["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(l))throw new Error(`nearest_mode '${l}' is not supported`);let p=t.attributes.getFloat("cubic_coeff_a",-.75),c=0!==t.attributes.getInt("exclude_outside",0);if(c&&"cubic"!==r)throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");let d=e<11||"nearest"===r&&"asymmetric"===s&&"floor"===l,h=0,f=0,g=0;return e>10?t.inputs.length>2?(h=1,f=2,g=3):(f=1,g=2):9===e&&(f=1),W({opset:e,isResize:n,mode:r,scales:i,extrapolationValue:o,coordinateTransformMode:s,useExtrapolation:u,needRoiInput:a,nearestMode:l,cubicCoefficientA:p,excludeOutside:c,useNearest2xOptimization:d,roiInputIdx:h,scalesInputIdx:f,sizesInputIdx:g})},Ub=(t,e,n)=>{let r=G(t.session.backend.glContext.version),[i,o]=t.calculateTextureWidthAndHeight(e[0].dims,0),s=e[0].dims.map((t,e)=>Math.floor(t*n.scales[e])),[a,u]=t.calculateTextureWidthAndHeight(s,0),l=s.length,p=new Array(l),c=new Array(l),d=`\n int output_pitches[${l}];\n int input_pitches[${l}];\n `;for(let g=l-1;g>=0;g--)p[g]=g===l-1?1:p[g+1]*s[g+1],c[g]=g===l-1?1:c[g+1]*e[0].dims[g+1],d+=`\n output_pitches[${g}] = ${p[g]};\n input_pitches[${g}] = ${c[g]};\n `;let h=`\n float getInputFloat(int index) {\n vec2 coords = offsetToCoords(index, ${i}, ${o});\n float value = getColorAsFloat(${r.texture2D}(X, coords));\n return value;\n }\n `,f="nearest"===n.mode?`\n ${h}\n float process(int indices[${l}]) {\n int input_index = 0;\n int output_index = coordsToOffset(TexCoords, ${a}, ${u});\n\n ${d}\n\n int d, m;\n for (int dim = 0; dim < ${l}; ++dim) {\n d = output_index / output_pitches[dim];\n m = output_index - d * output_pitches[dim];\n output_index = m;\n\n if (scales[dim] != 1 && d > 0) {\n int d2 = d / scales[dim];\n m = d - d2 * scales[dim];\n d = d2;\n }\n input_index += input_pitches[dim] * d;\n }\n\n return getInputFloat(input_index);\n }`:4===l?`\n ${h}\n float process(int indices[4]) {\n int input_index = 0;\n int output_index = coordsToOffset(TexCoords, ${a}, ${u});\n\n ${d}\n\n int m;\n int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;\n index_of_dim0 = output_index / output_pitches[0];\n m = output_index - index_of_dim0 * output_pitches[0];\n index_of_dim1 = m / output_pitches[1];\n m = m - index_of_dim1 * output_pitches[1];\n index_of_dim2 = m / output_pitches[2];\n m = m - index_of_dim2 * output_pitches[2];\n index_of_dim3 = m;\n\n int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;\n index_of_input_dim2 = index_of_dim2 / scales[2];\n y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];\n index_of_input_dim3 = index_of_dim3 / scales[3];\n x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];\n\n input_index = index_of_dim0 * input_pitches[0] +\n index_of_dim1 * input_pitches[1] +\n index_of_input_dim2 * input_pitches[2] +\n index_of_input_dim3;\n\n float x00 = getInputFloat(input_index);\n float x10, x01, x11;\n\n bool end_of_dim2 = false;\n if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) {\n // It's the end in dimension 2\n x01 = x00;\n end_of_dim2 = true;\n } else {\n x01 = getInputFloat(input_index + input_pitches[2]);\n }\n\n if (index_of_input_dim3 == (input_pitches[2] - 1)) {\n // It's the end in dimension 3\n x10 = x00;\n x11 = x01;\n }\n else {\n x10 = getInputFloat(input_index + 1);\n x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);\n }\n\n float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);\n float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);\n return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);\n }`:`\n ${h}\n float process(int indices[2]) {\n int input_index = 0;\n int output_index = coordsToOffset(TexCoords, ${a}, ${u});\n\n ${d}\n\n int m;\n int index_of_dim0, index_of_dim1;\n index_of_dim0 = output_index / output_pitches[0];\n m = output_index - index_of_dim0 * output_pitches[0];\n index_of_dim1 = m;\n\n int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;\n index_of_input_dim0 = index_of_dim0 / scales[0];\n y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];\n index_of_input_dim1 = index_of_dim1 / scales[1];\n x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];\n\n input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;\n\n float x00 = getInputFloat(input_index);\n float x10, x01, x11;\n\n bool end_of_dim0 = false;\n if (index_of_input_dim0 == (${e[0].dims[0]} - 1)) {\n // It's the end in dimension 0\n x01 = x00;\n end_of_dim0 = true;\n } else {\n x01 = getInputFloat(input_index + input_pitches[0]);\n }\n\n if (index_of_input_dim1 == (input_pitches[0] - 1)) {\n // It's the end in dimension 1\n x10 = x00;\n x11 = x01;\n }\n else {\n x10 = getInputFloat(input_index + 1);\n x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);\n }\n\n float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);\n float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);\n return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);\n }`;return{...Tc,output:{dims:s,type:e[0].type,textureType:0},shaderSource:f,variables:[{name:"scales",type:"int",arrayLength:n.scales.length,data:n.scales.map(t=>Math.ceil(t))}]}},Ai=(t,e)=>{if(!t||e.opset<9&&1!==t.length||e.opset>=9&&e.opset<11&&2!==t.length||e.opset>
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6 getOutputCoords() {\n ivec2 resTexRC = ivec2(TexCoords.xy *\n vec2(${n[0]}, ${n[1]}));\n int index = resTexRC.y * ${n[0]} + resTexRC.x;\n\n ${s}\n\n int b = index / ${i};\n index -= b * ${i};\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}(${a});\n }\n `;return new k(u)}getOutputUnpacked1DCoords(t,e){let n=`\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(TexCoords.xy *\n vec2(${e[0]}, ${e[1]}));\n return resTexRC.y * ${e[0]} + resTexRC.x;\n }\n `;return new k(n)}getOutputUnpacked2DCoords(t,e){let n=`\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(TexCoords.xy *\n vec2(${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 k(n)}getOutputUnpacked3DCoords(t,e){let n="",r=t.length,i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=t[r-1];for(let a=r-3;a>=0;--a)i[a]=i[a+1]*t[a+1];let o=["r","c","d"],s=i.map((t,e)=>`int ${o[e]} = index / ${t}; ${e===i.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[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 ${s}\n return ivec3(r, c, d);\n }\n `,new k(n)}getOutputUnpacked4DCoords(t,e){let n="",r=t.length,i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=t[r-1];for(let a=r-3;a>=0;--a)i[a]=i[a+1]*t[a+1];let o=["r","c","d","d2"],s=i.map((t,e)=>`int ${o[e]} = index / ${t}; ${e===i.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[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 ${s}\n return ivec4(r, c, d, d2);\n }\n `,new k(n)}getOutputUnpacked5DCoords(t,e){let n="",r=t.length,i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=t[r-1];for(let a=r-3;a>=0;--a)i[a]=i[a+1]*t[a+1];let o=["r","c","d","d2","d3"],s=i.map((t,e)=>`int ${o[e]} = index / ${t}; ${e===i.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[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 ${s}\n return ivec5(r, c, d, d2, d3);\n }\n `,new k(n)}getOutputUnpacked6DCoords(t,e){let n="",r=t.length,i=null;r<2&&(i=[]),i=new Array(r-1),i[r-2]=t[r-1];for(let a=r-3;a>=0;--a)i[a]=i[a+1]*t[a+1];let o=["r","c","d","d2","d3","d4"],s=i.map((t,e)=>`int ${o[e]} = index / ${t}; ${e===i.length-1?`int ${o[e+1]} = index - ${o[e]} * ${t}`:`index -= ${o[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 ${s}\n return ivec6(r, c, d, d2, d3, d4);\n }\n `,new k(n)}getCommonUtilFuncs(){let t={},e="uvFromFlat";t[e]=new k("\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 k("\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 k("\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 k("\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";let n=G(this.context.glContext.version);return t[e]=new k(`\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ${n.texture2D}(textureSampler, uv).r;\n }`),t}
6getInputsSamplingSnippets(){let t={},e=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((n,r)=>{let i=this.context.inputTextureLayouts[r],o=On(n);i.isPacked?t[o]=this.getPackedSamplerFromInput(o,n,i):t[o]=this.getUnpackedSamplerFromInput(o,n,i);let s=Ku(n);i.unpackedShape.length<=e.unpackedShape.length&&(i.isPacked?t[s]=this.getPackedSamplerAtOutputCoords(s,i,e,n):t[s]=this.getUnpackedSamplerAtOutputCoords(s,i,e,n))}),t}getPackedSamplerAtOutputCoords(t,e,n,r){let i,o=e.unpackedShape,s=n.unpackedShape,a=On(r),u=o.length,l=s.length,p=$t.getBroadcastDims(o,s),c=kt(l),d=l-u,h=ee();i=0===u?"":l<2&&p.length>=1?"coords = 0;":p.map(t=>`coords.${h[t+d]} = 0;`).join("\n");let f="";f=l<2&&u>0?"coords":o.map((t,e)=>`coords.${h[e+d]}`).join(", ");let g="return outputValue;",m=1===B.size(o),b=1===B.size(s);if(1!==u||m||b){if(m&&!b)g=1===l?"\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n ":"\n return vec4(outputValue.x);\n ";else if(p.length){let t=u-2,e=u-1;p.indexOf(t)>-1&&p.indexOf(e)>-1?g="return vec4(outputValue.x);":p.indexOf(t)>-1?g="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":p.indexOf(e)>-1&&(g="return vec4(outputValue.xx, outputValue.zz);")}}else g="\n return vec4(outputValue.xy, outputValue.xy);\n ";let y=`\n int lastDim = coords.${h[l-1]};\n coords.${h[l-1]} = coords.${h[l-2]};\n coords.${h[l-2]} = lastDim;\n `;return new k(`\n vec4 ${t}
6() {\n ${c} coords = getOutputCoords();\n ${y}\n ${i}\n vec4 outputValue = ${a}(${f});\n ${g}\n }\n `,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(t,e,n,r){let i=[n.width,n.height],o=[e.width,e.height],s=e.unpackedShape.length,a=n.unpackedShape.length,u=e.unpackedShape,l=n.unpackedShape,p=On(r);if(s===a&&Ge.arraysEqual(o,i))return new k(`\n float ${t}() {\n return sampleTexture(${r}, TexCoords);\n }\n `,["coordinates.sampleTexture"]);let c,d=kt(a),h=$t.getBroadcastDims(u,l),f=a-s,g=ee();c=0===s?"":a<2&&h.length>=1?"coords = 0;":h.map(t=>`coords.${g[t+f]} = 0;`).join("\n");let m="";return m=a<2&&s>0?"coords":e.unpackedShape.map((t,e)=>`coords.${g[e+f]}`).join(", "),new k(`\n float ${t}() {\n ${d} coords = getOutputCoords();\n ${c}\n return ${p}(${m});\n }\n `,["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){let 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){let n=`\n vec4 ${t}
6() {\n return ${G(this.context.glContext.version).texture2D}(${e}, halfCR);\n }\n `;return new k(n)}getPackedSampler1D(t,e,n){let r=[n.width,n.height],i=[r[1],r[0]],o=G(this.context.glContext.version),s=`vec4 ${t}(int index) {\n vec2 uv = packedUVfrom1D(\n ${i[0]}, ${i[1]}, index);\n return ${o.texture2D}(${e}, uv);\n }`;return new k(s,["coordinates.packedUVfrom1D"])}getPackedSampler2D(t,e,n){let r=n.unpackedShape,i=[n.width,n.height],o=G(this.context.glContext.version),s=i[0],a=i[1];if(null!=i&&Ge.arraysEqual(r,i)){let n=`vec4 ${t}(int row, int col) {\n vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}.0, ${s}.0);\n return ${o.texture2D}(${e}, uv);\n }`;return new k(n)}let u=i,l=Math.ceil(r[1]/2),p=`vec4 ${t}(int row, int col) {\n vec2 uv = packedUVfrom2D(${u[1]}, ${u[0]}, ${l}, row, col);\n return ${o.texture2D}(${e}, uv);\n }`;return new k(p,["coordinates.packedUVfrom2D"])}getPackedSampler3D(t,e,n){let r=n.unpackedShape,i=[n.width,n.height],o=[i[0],i[1]],s=G(this.context.glContext.version);if(1===r[0]){let i=r.slice(1),o=[1,2],s=lr(r,i),a=["b","row","col"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=s;let l=this.getPackedSamplerFromInput(t,e,u),p=`${l.routineBody}\n vec4 ${t}(int b, int row, int col) {\n return ${t}(${fr(a,o)});\n } `;return new k(p,l.dependencies)}let a=o[0],u=o[1],l=Math.ceil(r[2]/2),p=`vec4 ${t}(int b, int row, int col) {\n vec2 uv = packedUVfrom3D(\n ${u}, ${a}, ${l*Math.ceil(r[1]/2)}, ${l}, b, row, col);\n return ${s.texture2D}(${e}, uv);}`;return new k(p,["coordinates.packedUVfrom3D"])}getPackedSamplerND(t,e,n){let r=n.unpackedShape,i=r.length,o=[n.width,n.height],s=G(this.context.glContext.version),a=[o[0],o[1]],u=a[1],l=a[0],p=Math.ceil(r[i-1]/2),c=p*Math.ceil(r[i-2]/2),d="int b, int row, int col",h=`b * ${c} + (row / 2) * ${p} + (col / 2)`;for(let g=2;g<i-1;g++)d=`int b${g}, `+d,c*=r[i-g-1],h=`b${g} * ${c} + `+h;let f=`vec4 ${t}(${d}) {\n int index = ${h};\n int texR = index / ${l};\n int texC = index - texR * ${l};\n vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${l}, ${u});\n return ${s.texture2D}(${e}, uv);\n }`;return new k(f)}getUnpackedSamplerScalar(t,e,n){let[r,i]=[n.width,n.height];return 1===r&&1===i?new k(`\n float ${t}() {\n return sampleTexture(${e}, halfCR);\n }\n `,["coordinates.sampleTexture"]):new k(`\n float ${t}() {\n int offset_${e} = coordsToOffset(TexCoords, ${r}, ${i});\n vec2 uv = uvFromFlat(${r}, ${i}, offset_${e});\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(t,e,n){let r=n.width,i=n.height;return 1===i&&1===r?new k(`\n float ${t}(int index) {\n return sampleTexture(${e}, halfCR);\n }\n `,["coordinates.sampleTexture"]):1===i?new k(`\n float ${t}(int index) {\n vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.sampleTexture"]):1===r?new k(`\n float ${t}(int index) {\n vec2 uv = vec2(0.5, (float(index) + 0.5) / ${i}.0);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.sampleTexture"]):new k(`\n float ${t}(int index) {\n vec2 uv = uvFromFlat(${r}, ${i}, index);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler2D(t,e,n){let r=n.unpackedShape,i=[n.height,n.width];if(null!=i&&Ge.arraysEqual(r,i))return new k(`\n float ${t}(int row, int col) {\n vec2 uv = (vec2(row, col) + halfCR) / vec2(${i[1]}.0, ${i[0]}.0);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.sampleTexture"]);let{newShape:o,keptDims:s}=hr(r),a=o;if(a.length<r.length){let i=lr(r,a),o=JSON.parse(JSON.stringify(n));o.unpackedShape=i;let u=["col","row"],l=`\n ${this.getUnpackedSamplerFromInput(t,e,o).routineBody}\n float ${t}(int row, int col) {\n return ${t}(${fr(u,s)});\n }\n `;return new k(l,["coordinates.sampleTexture"])}let u=i[1],l=i[0];if(1===l){let n=`\n float ${t}(int row, int col) {\n int offset_${e} = coordsToOffset(TexCoords, ${u}, ${l});\n float index = dot(vec3(row, col, offset_${e}), vec3(${r[1]}, 1, 1));\n vec2 uv = vec2(0.5, (index + 0.5) / ${u}.0);\n return sampleTexture(${e}, uv);\n }\n `;return new k(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(1===u){let n=`\n float ${t}(int row, int col) {\n int offset_${e} = coordsToOffset(TexCoords, ${u}, ${l});\n float index = dot(vec3(row, col, offset_${e}), vec3(${r[1]}, 1, 1));\n vec2 uv = vec2((index + 0.5) / ${l}.0, 0.5);\n return sampleTexture(${e}, uv);\n }\n `;return new k(n,["coordinates.sampleTexture","coordinates.coordsToOffset"])}let p=`\n float ${t}(int row, int col) {\n int index = col * ${r[1]} + row;\n vec2 uv = uvFromFlat(${u}, ${l}, index);\n return sampleTexture(${e}, uv);\n }\n `;return new k(p,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler3D(t,e,n){let r=n.unpackedShape,i=r[1]*r[2],o=r[2],{newShape:s,keptDims:a}=hr(r),u=s;if(u.length<r.length){let i=lr(r,u),o=["batch","col","row"],s=JSON.parse(JSON.stringify(n));s.unpackedShape=i;let l=this.getUnpackedSamplerFromInput(t,e,s),p=a.reverse(),c=`\n ${l.rout
6ineBody}\n float ${t}(int batch, int row, int col) {\n return ${t}(${fr(o,p)});\n }\n `;return new k(c,l.dependencies)}let l=n.width,p=n.height;return new k(`\n float ${t}(int depth, int row, int col) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = depth * ${i} + col * ${o} + row;\n vec2 uv = uvFromFlat(${l}, ${p}, index);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(t,e,n){let r=n.unpackedShape,i=r[3],o=r[2]*i,s=r[1]*o,a=n.width,u=n.height;return new k(`\n float ${t}(int row, int col, int depth, int depth2) {\n int index = row * ${s} + col * ${o} +\n depth2 * ${i} + depth;\n vec2 uv = uvFromFlat(${a}, ${u}, index);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(t,e,n){let r=n.unpackedShape,i=r[4],o=r[3]*i,s=r[2]*o,a=r[1]*s,{newShape:u,keptDims:l}=hr(r);if(u.length<r.length){let i=lr(r,u),o=["row","col","depth","depth2","depth3"],s=JSON.parse(JSON.stringify(n));s.unpackedShape=i;let a=`\n ${this.getUnpackedSamplerFromInput(t,e,s).routineBody}\n float ${t}(int row, int col, int depth, int depth2, int depth3) {\n return ${t}(${fr(o,l)});\n }\n `;return new k(a,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let p=n.width,c=n.height;return new k(`\n float ${t}(int row, int col, int depth, int depth2, int depth3) {\n int index = row * ${a} + col * ${s} + depth * ${o} +\n depth3 * ${i} + depth2;\n vec2 uv = uvFromFlat(${p}, ${c}, index);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(t,e,n){let r=n.unpackedShape,i=r[5],o=r[4]*i,s=r[3]*o,a=r[2]*s,u=r[1]*a,{newShape:l,keptDims:p}=hr(r);if(l.length<r.length){let i=lr(r,l),o=["row","col","depth","depth2","depth3","depth4"],s=JSON.parse(JSON.stringify(n));s.unpackedShape=i;let a=`\n ${this.getUnpackedSamplerFromInput(t,e,s).routineBody}\n float ${t}(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n return ${t}(${fr(o,p)});\n }\n `;return new k(a,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let c=n.width,d=n.height;return new k(`\n float ${t}(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n int index = row * ${u} + col * ${a} + depth * ${s} +\n depth2 * ${o} + depth3 * ${i} + depth4;\n vec2 uv = uvFromFlat(${c}, ${d}, index);\n return sampleTexture(${e}, uv);\n }\n `,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}
6toVec(){let t=this.context.outputTextureLayout,e=t.shape.length,n=t.strides,r=t.width,i=t.height,o=[];for(let a=0;a<e-1;++a)o.push(`\n c[${a}] = offset / ${n[a]};`),o.push(`\n offset -= c[${a}] * ${n[a]};`);o.push(`\n c[${e-1}] = offset;`);let s=`\n void toVec(vec2 texCoords, out int c[${e}]) {\n int offset = coordsToOffset(texCoords, ${r}, ${i});\n ${o.join("")}\n }\n void toVec(int offset, out int c[${e}]) {\n ${o.join("")}\n }\n `;return{toVec:new k(s,["coordinates.coordsToOffset"])}}valueFrom(){let t={};return this.context.programInfo.inputNames.forEach((e,n)=>{let r=this.context.inputTextureLayouts[n],i=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length,o=`_${e}`;t[o]=new k(this.getValueFromSingle(e,i,r.width,r.height,!1),[`shapeUtils.indicesToOffset${o}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),o+="_T",t[o]=new k(this.getValueFromSingle(e,i,r.width,r.height,!0),[`shapeUtils.indicesToOffset${o}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])}),t}getValueFromSingle(t,e,n,r,i){let o=`_${t}`;return i&&(o+="_T"),`\n float ${o}(int m[${e}]) {\n int offset = indicesToOffset${o}(m);\n vec2 coords = offsetToCoords(offset, ${n}, ${r});\n float value = getColorAsFloat(${G(this.context.glContext.version).texture2D}(${t}, coords));\n return value;\n }\n `}getPackedValueFrom(t,e,n,r,i){let o=`_${t}_Pack`;return i&&(o+="_T"),`\n vec4 ${o}(int m[${e}]) {\n int offset = indicesToOffset_${t}(m);\n vec2 coords = offsetToCoords(offset, ${n}, ${r});\n return ${G(this.context.glContext.version).texture2D}(${t}, coords);\n }\n `}}}),Un,fp=O(()=>{be(),Un=class t extends Wt{constructor(t){super(t)}getFunctions(){return{...this.encodeFloat32(),...this.decodeFloat32()}}getCustomTypes(){return{}}encodeFloat32(){return{encode:new k("highp vec4 encode(highp float f) {\n return vec4(f, 0.0, 0.0, 0.0);\n }\n ")}}decodeFloat32(){return{decode:new k("highp float decode(highp vec4 rgba) {\n return rgba.r;\n }\n ")}}encodeUint8(){let e=t.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new k(`\n highp vec4 encode(highp float f) {\n highp float F = abs(f);\n highp float Sign = step(0.0,-f);\n highp float Exponent = floor(log2(F));\n highp float Mantissa = (exp2(- Exponent) * F);\n Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));\n highp vec4 rgba;\n rgba[0] = 128.0 * Sign + floor(Exponent*exp2(-1.0));\n rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);\n rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));\n rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));\n ${e}\n rgba = rgba / 255.0; // values need to be normalized to [0,1]\n return rgba;\n }\n `)}}decodeUint8(){let e=t.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new k(`\n highp float decode(highp vec4 rgba) {\n rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]\n ${e}\n highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;\n highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1])
6- 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(){let 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")}}}),Vn,cp=O(()=>{be(),st(),Vn=class extends Wt{constructor(t){super(t)}getFunctions(){return{...this.setFragColor(),...this.getColorAsFloat()}}getCustomTypes(){return{}}setFragColor(){let t=G(this.context.glContext.version);return{setFragColor:new k(`\n void setFragColor(float value) {\n ${t.output} = encode(value);\n }\n `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new k("\n float getColorAsFloat(vec4 color) {\n return decode(color);\n }\n ",["encoding.decode"])}}}}),zn,pp=O(()=>{be(),zn=class t extends Wt{constructor(t){super(t)}getFunctions(){return{...this.bcastIndex(),...this.bcastMatmulIndex(),...this.offsetToIndices(),...this.indicesToOffset(),...this.incrementIndices()}}getCustomTypes(){return{}}bcastIndex(){let t=this.context.outputTextureLayout.shape.length,e={};return this.context.programInfo.inputNames.forEach((n,r)=>{let i=this.context.inputTextureLayouts[r].unpackedShape;if(i.length<=t){let r=i.length,o=t-r,s=`bcastIndices_${n}`,a="";for(let t=0;t<r;++t)a+=`\n realIndices[${t}] = int( mod(float(bcastedIndices[${o+t}]), ${i[t]}.0) );\n `;let u=`\n void ${s} (int bcastedIndices[${t}], out int realIndices[${r}]) {\n ${a}\n }\n `;e[s]=new k(u)}}),e}bcastMatmulIndex(){let t=this.context.outputTextureLayout.shape.length,e={};return this.context.programInfo.inputNames.forEach((n,r)=>{let i=this.context.inputTextureLayouts[r].shape;if(!(i.length<2||i.length>t)){let r=i.length,o=t-r,s=`bcastMatmulIndices_${n}`,a="";for(let t=0;t<r-2;++t)a+=`\n realIndices[${t}] = int( mod(float(bcastedIndices[${o+t}]), ${i[t]}.0) );\n `;let u=`\n void ${s}(int bcastedIndices[${t}], out int realIndices[${r}]) {\n ${a}\n realIndices[${r-1}] = bcastedIndices[${t-1}];\n realIndices[${r-2}] = bcastedIndices[${t-2}];\n }\n `;e[s]=new k(u)}}),e}indicesToOffset(){let e={};return this.context.programInfo.inputNames.forEach((n,r)=>{let i=this.context.inputTextureLayouts[r].shape,o=this.context.inputTextureLayouts[r].strides,s=i.length,a=`indicesToOffset_${n}`;e[a]=new k(t.indexToOffsetSingle(a,s,o)),a=`indicesToOffset_${n}_T`,e[a]=new k(t.indexToOffsetSingle(a,s,o.slice().reverse()))}),e}static indexToOffsetSingle(t,e,n){let r="";for(let i=e-1;i>=0;--i)r+=`\n offset += indices[${i}] * ${n[i]};\n `;return`\n int ${t}(int indices[${e}]) {\n int offset = 0;\n ${r}\n return offset;\n }\n `}offsetToIndices(){let e={};return this.context.programInfo.inputNames.forEach((n,r)=>{let i=this.context.inputTextureLayouts[r].shape,o=this.context.inputTextureLayouts[r].strides,s=i.length,a=`offsetToIndices_${n}`;e[a]=new k(t.offsetToIndicesSingle(a,s,o)),a=`offsetToIndices_${n}_T`,e[a]=new k(t.offsetToIndicesSingle(a,s,o.slice().reverse()))}),e}static offsetToIndicesSingle(t,e,n){let r=[];for(let i=0;i<e-1;++i)r.push(`\n indices[${i}] = offset / ${n[i]};`),r.push(`\n offset -= indices[${i}] * ${n[i]};`);return r.push(`\n indices[${e-1}] = offset;`),`\n void ${t}(int offset, out int indices[${e}]) {\n ${r.join("")}\n }\n `}incrementIndices(){let t={};return this.context.programInfo.inputNames.forEach((e,n)=>{let r=this.context.inputTextureLayouts[n].shape,i=r.length,o=`incrementIndices_${e}`,s="";for(let t=0;t<i;++t)s+=`\n shape[${t}] = ${r[t]};`;let a=`\n void ${o}(int axis, out int indices[${i}]) {\n int shape[${i}];\n ${s};\n for(int i = ${i} -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[o]=new k(a)}),t}}}),Wn,dp=O(()=>{be(),Wn=class extends Wt{constructor(t){super(t)}getCustomTypes(){return{}}getFunctions(){return{...this.binaryVecFunctions(),...this.copyVec(),...this.setVecItem(),...this.getVecItem()}}binaryVecFunctions(){let t=this.context.outputTextureLayout.shape.length,e={add:"+=",
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n)r.push({...i,location:this.getUniformLocation(t,i.name)});return r}getUniformLocation(t,e){let n=this.glContext.gl.getUniformLocation(t,e);if(null===n)throw new Error(`Uniform ${e} not found.`);return n}getAttribLocation(t,e){return this.glContext.gl.getAttribLocation(t,e)}}}),jn,gp=O(()=>{Mt(),Fr(),jn=class{constructor(t,e,n,r){this.glContext=t,this.layoutStrategy=e,this.profiler=n,this.config=r,this.pendingRead=new Map,r.reuseTextures&&(this.inUseTextures=new Map,this.idleTextures=new Map,this.textureLookup=new Map)}createTextureFromLayout(t,e,n,r){let i=this.toEncoderType(t),o=this.glContext.getEncoder(i,e.channels||1,r);if(e.isPacked&&1===r)throw new Error("not implemented");let s,a,u=e.width,l=e.height;if(this.config.reuseTextures){s=`${u}x${l}_${o.format}_${o.internalFormat}_${o.textureType}`,a=this.inUseTextures.get(s),a||(a=[],this.inUseTextures.set(s,a));let e=this.idleTextures.get(s);if(e&&e.length>0){let i=e.pop();return 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o=this.glContext.readTexture(t.texture,t.width,t.height,i,this.toEncoderType(e),n),s=this.toTensorData(e,o),a=this.pendingRead.get(r);return this.pendingRead.delete(r),a?.forEach(t=>t(s)),s})}readUint8TextureAsFloat(t){return this.profiler.event("backend","TextureManager.readUint8TextureAsFloat",()=>{let e=t.shape.reduce((t,e)=>t*e),n=this.glContext.readTexture(t.texture,t.width,t.height,4*e,"byte",4);return new Float32Array(n.buffer,n.byteOffset,e)})}releaseTexture(t,e){let n;if(this.config.reuseTextures&&(n=this.textureLookup.get(t.texture),n)){e&&this.textureLookup.delete(n);let r=this.inUseTextures.get(n);if(r){let e=r.indexOf(t.texture);if(-1!==e){r.splice(e,1);let i=this.idleTextures.get(n);i||(i=[],this.idleTextures.set(n,i)),i.push(t.texture)}}}(!n||e)&&(tt.verbose("TextureManager",`Deleting texture of size ${t.width}x${t.height}`),this.glContext.deleteTexture(t.texture))}toTensorData(t,e){switch(t){case"int16":return e instanceof 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qn(this.context.profiler,t.glContext,this.layoutStrategy),this.textureManager=new jn(t.glContext,this.layoutStrategy,this.context.profiler,{reuseTextures:"full"===t.textureCacheMode}),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache=new Map,this.pack=t.pack,this.pack2unpackMap=new Map,this.unpack2packMap=new Map}createInferenceHandler(){return new Pn(this)}onGraphInitialized(t){let e=t.getValues().filter(t=>-1===t.from&&t.tensor).map(t=>t.tensor.dataId);
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Mr,xp=O(()=>{Kt(),Fr(),Fr(),ue(),Mr=class{constructor(t,e){this.frameBufferBound=!1,this.itemsToPoll=[],this.gl=t,this.version=e,this.getExtensions(),this.vertexbuffer=this.createVertexbuffer(),this.framebuffer=this.createFramebuffer(),this.queryVitalParameters()}allocateTexture(t,e,n,r){let 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);let 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){let o=this.gl;o.bindTexture(o.TEXTURE_2D,t);let 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){let 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){let s=this.gl;o||(o=1),this.frameBufferBound||this.attachFramebuffer(t,e,n);let 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(){let t=this.gl;return"TEXTURE"+(t.getParameter(this.gl.ACTIVE_TEXTURE)-t.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(t,e){let 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){let n=this.gl,r=n.createProgram();return n.attachShader(r,t),n.attachShader(r,e),n.linkProgram(r),r}compileShader(t,e){let 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){let 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(z.debug){let t=this.gl,e=t.getError(),n="";switch(e){case t.NO_ERROR:return;case 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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(){let t=this.gl,e=t.createBuffer();if(!e)throw new Error("createBuffer() returned null");let n=this.createDefaultGeometry();return t.bindBuffer(t.ARRAY_BUFFER,e),t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW),this.checkError(),e}createFramebuffer(){let t=this.gl.createFramebuffer();if(!t)throw new Error("createFramebuffer returned null");return t}queryVitalParameters(){let 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(){let t=this.gl,e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);let n=2===this.version?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,n,1,1,0,t.RGBA,t.FLOAT,null);let r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0);let 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||!this.gl.getExtension("WEBGL_color_buffer_float"))return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){let t,e,n,r,i,o=this.gl;try{t=o.createTexture(),e=o.createFramebuffer(),o.bindTexture(o.TEXTURE_2D,t);let s=2===this.version?o.RGBA32F:o.RGBA;return o.texImage2D(o.TEXTURE_2D,0,s,1,1,0,o.RGBA,o.FLOAT,null),o.bindFramebuffer(o.FRAMEBUFFER,e),o.framebufferTexture2D(o.FRAMEBUFFER,o.COLOR_ATTACHMENT0,o.TEXTURE_2D,t,0),o.enable(o.BLEND),n=o.createShader(o.VERTEX_SHADER),!!(n&&(o.shaderSource(n,"void main(){}"),o.compileShader(n),r=o.createShader(o.FRAGMENT_SHADER),r)&&(o.shaderSource(r,"precision highp float;void 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not have value`);0===e?await n.getData():n.data,u.push(n)}return tt.verbose("ExecPlan","disposing of inferenceHandler"),n.dispose(),u})}}}),q,jt,Ur,Sp=O(()=>{Pr(),q=rr(sr()),ze(),Y(),jt=F.experimental.fbs,Ur=class t{constructor(e){if(this._attributes=new Map,null!=e){for(let n of e)n instanceof q.onnx.AttributeProto?this._attributes.set(n.name,[t.getValue(n),t.getType(n)]):n instanceof jt.Attribute&&this._attributes.set(n.name(),[t.getValue(n),t.getType(n)]);if(this._attributes.size<e.length)throw new Error("duplicated attribute names")}}set(t,e,n){this._attributes.set(t,[n,e])}delete(t){this._attributes.delete(t)}getFloat(t,e){return this.get(t,"float",e)}getInt(t,e){return this.get(t,"int",e)}getString(t,e){return this.get(t,"string",e)}getTensor(t,e){return this.get(t,"tensor",e)}getFloats(t,e){return this.get(t,"floats",e)}getInts(t,e){return this.get(t,"ints",e)}getStrings(t,e){return this.get(t,"strings",e)}getTensors(t,e){return this.get(t,"tensors",e)}get(t,e,n){let r=this._attributes.get(t);if(void 0===r){if(void 0!==n)return n;throw new Error(`required attribute not found: ${t}`)}if(r[1]!==e)throw new Error(`type mismatch: expected ${e} but got ${r[1]}`);return r[0]}static getType(t){let e=t instanceof q.onnx.AttributeProto?t.type:t.type();switch(e){case q.onnx.AttributeProto.AttributeType.FLOAT:return"float";case q.onnx.AttributeProto.AttributeType.INT:return"int";case q.onnx.AttributeProto.AttributeType.STRING:return"string";case q.onnx.AttributeProto.AttributeType.TENSOR:return"tensor";case q.onnx.AttributeProto.AttributeType.FLOATS:return"floats";case q.onnx.AttributeProto.AttributeType.INTS:return"ints";case q.onnx.AttributeProto.AttributeType.STRINGS:return"strings";case q.onnx.AttributeProto.AttributeType.TENSORS:return"tensors";default:throw new Error(`attribute type is not supported yet: ${q.onnx.AttributeProto.AttributeType[e]}`)}}static getValue(t){let e=t instanceof q.onnx.AttributeProto?t.type:t.type();if(e===q.onnx.AttributeProto.AttributeType.GRAPH||e===q.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error("graph attribute is not supported yet");let n=this.getValueNoCheck(t);if(e===q.onnx.AttributeProto.AttributeType.INT&&Nt.isLong(n))return Nt.longToNumber(n);if(e===q.onnx.AttributeProto.AttributeType.INTS){let t=n,e=new Array(t.length);for(let n=0;n<t.length;n++){let r=t[n];e[n]=Nt.longToNumber(r)}return e}if(e===q.onnx.AttributeProto.AttributeType.TENSOR)return t instanceof q.onnx.AttributeProto?bt.fromProto(n):bt.fromOrtTensor(n);if(e===q.onnx.AttributeProto.AttributeType.TENSORS){if(t instanceof q.onnx.AttributeProto)return n.map(t=>bt.fromProto(t));if(t instanceof jt.Attribute)return n.map(t=>bt.fromOrtTensor(t))}return e===q.onnx.AttributeProto.AttributeType.STRING&&t instanceof q.onnx.AttributeProto?kr(n):e===q.onnx.AttributeProto.AttributeType.STRINGS&&t instanceof q.onnx.AttributeProto?n.map(kr):n}static getValueNoCheck(t){return t instanceof q.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(t):this.getValueNoCheckFromOrtFormat(t)}static getValueNoCheckFromOnnxFormat(t){switch(t.type){case q.onnx.AttributeProto.AttributeType.FLOAT:return t.f;case q.onnx.AttributeProto.AttributeType.INT:return t.i;case q.onnx.AttributeProto.AttributeType.STRING:return t.s;case q.onnx.AttributeProto.AttributeType.TENSOR:return t.t;case q.onnx.AttributeProto.AttributeType.GRAPH:return t.g;case q.onnx.AttributeProto.AttributeType.FLOATS:return t.floats;case q.onnx.AttributeProto.AttributeType.INTS:return t.ints;case q.onnx.AttributeProto.AttributeType.STRINGS:return t.strings;case q.onnx.AttributeProto.AttributeType.TENSORS:return t.tensors;case q.onnx.AttributeProto.AttributeType.GRAPHS:return t.graphs;default:throw new Error(`unsupported attribute type: ${q.onnx.AttributeProto.AttributeType[t.type]}`)}}static getValueNoCheckFromOrtFormat(t){switch(t.type()){case jt.AttributeType.FLOAT:return t.f();case jt.AttributeType.INT:return t.i();case jt.AttributeType.STRING:return t.s();case jt.AttributeType.TENSOR:return t.t();case jt.AttributeType.GRAPH:return t.g();case jt.AttributeType.FLOATS:return t.floatsArray();case jt.AttributeType.INTS:{let e=[];for(let n=0;n<t.intsLength();n++)e.push(t.ints(n));return e}case jt.AttributeType.STRINGS:{let e=[];for(let n=0;n<t.stringsLength();n++)e.push(t.strings(n));return e}case jt.AttributeType.TENSORS:{let e=[];for(let n=0;n<t.tensorsLength();n++)e.push(t.tensors(n));return e}default:throw new Error(`unsupported attribute type: ${jt.AttributeType[t.type()]}`)}}}}),Mi,Yn,Ui,ce,Zn,Gi,Ap=O(()=>{Sp(),Pr(),Mi=rr(sr()),ze(),Y(),Yn=F.experimental.fbs,Ui={from:(t,e)=>new Gi(t,e)},ce=class{constructor(t){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,t&&(this.t
6ype=_t.tensorValueTypeFromProto(t.type.tensorType))}get from(){return this._from}get to(){return this._to}},Zn=class{constructor(t,e){t instanceof Mi.onnx.NodeProto?(this.name=t.name,this.opType=t.opType,this.attributes=new Ur(t.attribute)):t instanceof Yn.Node&&(this.name=e??t.name(),this.opType=t.opType(),this.attributes=new Ur(_t.tensorAttributesFromORTFormat(t))),this.inputs=[],this.outputs=[],this.executeNode=!0}},Gi=class{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 Mi.onnx.GraphProto)this.buildGraphFromOnnxFormat(t);else{if(!(t instanceof Yn.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(t)}}buildGraphFromOnnxFormat(t){let e=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let n=new Map;if(!t.input)throw new Error("missing information in graph: input");let r=[];for(let i of t.input){if(e.has(i.name))throw new Error(`duplicated input name: ${i.name}`);let t=this._allData.push(new ce(i))-1;e.set(i.name,t),r.push(i.name)}if(!t.initializer)throw new Error("missing information in graph: initializer");for(let i of t.initializer){let t=e.get(i.name);if(void 0===t){let n=new ce;n.type={shape:{dims:_t.tensorDimsFromProto(i.dims)},tensorType:_t.tensorDataTypeFromProto(i.dataType)},t=this._allData.push(n)-1,e.set(i.name,t)}this._allData[t]._from=-1,this._allData[t].tensor=bt.fromProto(i)}for(let i=0;i<this._allData.length;i++)this._allData[i].tensor||(this._allInputIndices.push(i),this._allInputNames.push(r[i]));if(!t.output)throw new Error("missing information in graph: output");for(let i of t.output){if(e.has(i.name))throw new Error(`duplicated output name: ${i.name}`);let t=this._allData.push(new ce(i))-1;e.set(i.name,t),this._allOutputIndices.push(t),this._allOutputNames.push(i.name)}if(!t.node)throw new Error("missing information in graph: node");for(let i of t.node){if(!i.name)for(let e=0;;e++){let t=`unnamed_${i.opType}_${e}`;if(!n.has(t)){i.name=t;break}}if(n.has(i.name))throw new Error(`duplicated node name: ${i.name}`);let t=this._nodes.push(new Zn(i))-1;n.set(i.name,t)}for(let i=0;i<this._nodes.length;i++){let n=this._nodes[i],r=t.node[i];if(!r.output)throw new Error(`missing output for node: ${r.name}`);for(let t of r.output){let o=e.get(t);if(typeof o>"u"&&(o=this._allData.push(new ce)-1,e.set(t,o)),n.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=i,"Constant"===r.opType){if(!r.attribute||1!==r.attribute.length||!r.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!r.output||1!==r.output.length)throw new Error("missing output or incorrect number of outputs for this Constant operator");n.outputs.pop(),n.executeNode=!1,this._allData[o]._from=-1,this._allData[o].tensor=bt.fromProto(r.attribute[0].t)}}}for(let i=0;i<this._nodes.length;i++){let n=this._nodes[i],r=t.node[i];if(!r.input)throw new Error(`missing input for node: ${r.name}`);for(let t of r.input){let o=e.get(t);if(typeof o>"u"){if(""===t&&(3===r.input.length||4===r.input.length)&&"Resize"===r.opType)continue;throw new Error(`unrecognized input '${t}' for node: ${r.name}`)}n.inputs.push(o),this._allData[o]._to.push(i)}}return!0}buildGraphFromOrtFormat(t){let e=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let n=new Map,r=[];for(let i=0;i<t.inputsLength();i++){let n=t.inputs(i);if(e.has(n))throw new Error(`duplicated input name: ${n}`);for(let i=0;i<t.nodeArgsLength();i++)if(t.nodeArgs(i)?.name()===n){let o=new ce;if(t.nodeArgs(i)?.type()?.valueType()!==Yn.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");let s=t.nodeArgs(i).type().value(new Yn.TensorTypeAndShape),a=_t.tensorDataTypeFromProto(s.elemType()),u=s.shape(),l=[];for(let t=0;t<u.dimLength();t++)l.push(Nt.longToNumber(u.dim(t).value().dimValue()));o.type={shape:{dims:l},tensorType:a};let p=this._allData.push(o)-1;e.set(n,p),r.push(n)}}for(let i=0;
6i<t.initializersLength();i++){let n=t.initializers(i),r=e.get(n.name());if(void 0===r){let t=new ce,i=_t.tensorDimsFromORTFormat(n),o=_t.tensorDataTypeFromProto(n.dataType());t.type={shape:{dims:i},tensorType:o},r=this._allData.push(t)-1,e.set(n.name(),r)}this._allData[r]._from=-1,this._allData[r].tensor=bt.fromOrtTensor(n)}for(let i=0;i<this._allData.length;i++)this._allData[i].tensor||(this._allInputIndices.push(i),this._allInputNames.push(r[i]));for(let i=0;i<t.outputsLength();i++){let n=t.outputs(i);if(e.has(n))throw new Error(`duplicated output name: ${n}`);let r=this._allData.push(new ce)-1;e.set(n,r),this._allOutputIndices.push(r),this._allOutputNames.push(n)}if(!t.nodes)throw new Error("missing information in graph: node");for(let i=0;i<t.nodesLength();i++){let e=t.nodes(i),r=e.name();if(!r)for(let t=0;r=`unnamed_${e.opType()}_${t}`,n.has(r);t++);if(n.has(r))throw new Error(`duplicated node name: ${r}`);let o=this._nodes.push(new Zn(e,r))-1;n.set(r,o)}for(let i=0;i<this._nodes.length;i++){let n=this._nodes[i],r=t.nodes(i);if(null==r)throw new Error(`No node exists at index ${i}`);if(0===r?.outputsLength())throw new Error(`missing output for node: ${r.name}`);for(let t=0;t<r?.outputsLength();t++){let o=r?.outputs(t),s=e.get(o);if(typeof s>"u"&&(s=this._allData.push(new ce)-1,e.set(o,s)),n.outputs.push(s),void 0!==this._allData[s]._from)throw new Error(`multiple nodes output to one data value: ${s}`);if(this._allData[s]._from=i,"Constant"===r.opType()){if(1!==r.attributesLength()||!r.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(1!==r.outputsLength())throw new Error("missing output or incorrect number of outputs for this Constant operator");n.outputs.pop(),n.executeNode=!1,this._allData[s]._from=-1,this._allData[s].tensor=bt.fromOrtTensor(r.attributes(0).t())}}}for(let i=0;i<this._nodes.length;i++){let n=this._nodes[i],r=t.nodes(i);if(0===r.inputsLength())throw new Error(`missing input for node: ${r.name}`);for(let t=0;t<r.inputsLength();t++){let o=r.inputs(t),s=e.get(o);if(typeof s>"u")throw new Error(`unrecognized input '${o}' for node: ${r.name()}`);n.inputs.push(s),this._allData[s]._to.push(i)}}}checkIsAcyclic(){let t=new Set;this._allInputIndices.forEach(e=>{this._allData[e]._to.forEach(e=>{t.add(e)})});let e=Array.from(t),n=new Array(this._nodes.length).fill("white");for(;e.length>0;){let t=e.pop();"gray"===n[t]?n[t]="black":(e.push(t),n[t]="gray",this._nodes[t].outputs.forEach(r=>{let i=this._allData[r];if(typeof i.tensor<"u")throw new Error("node outputs should not be initialized");if(i._from!==t)throw new Error("from property of the Value object doesn't match index of Node being processed");i._to.forEach(t=>{if("gray"===n[t])throw new Error("model graph is cyclic");"white"===n[t]&&e.push(t)})}))}}transformGraph(t){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),t&&t.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let t=0,e=new Array(this._nodes.length,0),n=0;for(let r=0;r<this._nodes.length;r++)e[r]=n,this._nodes[r].executeNode?(n!==r&&(this._nodes[n]=this._nodes[r]),n++):this._nodes[r].outputs.forEach(t=>{this._allData[t]._from=-2});this._nodes.splice(n,this._nodes.length-n);for(let r=0;r<this._allData.length;r++){let t=this._allData[r];void 0!==t._from&&-1!==t._from&&-2!==t._from&&(t._from=e[t._from]);for(let n=0;n<t._to.length;n++){if(!(t._to[n]>=0))throw new Error("Trying to update a removed node");t._to[n]=e[t._to[n]]}}t=0;for(let r=0;r<this._allData.length;r++)if(-2!==this._allData[r].from||-1!==this._allOutputIndices.indexOf(r+t)){if(t>0){let e=-1;void 0!==this._allData[r].from&&-1!==this._allData[r].from?(e=this._nodes[this._allData[r].from].outputs.indexOf(r+t),-1!==e&&(this._nodes[this._allData[r].from].outputs[e]=r)):(e=this._allInputIndices.indexOf(r+t),-1!==e&&(this._allInputIndices[e]=r)),this._allData[r].to.forEach(n=>{e=this._nodes[n].inputs.indexOf(r+t),-1!==e&&(this._nodes[n].inputs[e]=r)}),0===this._allData[r].to.length&&(e=this._allOutputIndices.indexOf(r+t),-1!==e&&(this._allOutputIndices[e]=r))}}else t++,this._allData.splice(r,1),r--}deleteNode(t){let e=this._nodes[t];
6if(e.outputs.length>1)for(let s=1;s<e.outputs.length;s++)if(this._allData[e.outputs[s]].to.length>0)throw new Error("Node deletion with more than one output connected to other nodes is not supported. ");e.executeNode=!1;let n=e.inputs[0],r=e.outputs[0],i=this._allData[r].to;for(let s=0;s<e.inputs.length;s++){let n=this._allData[e.inputs[s]].to.indexOf(t);if(-1===n)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[e.inputs[s]].to.splice(n,1)}this._allData[r]._to=[];let o=this._allOutputIndices.indexOf(r);if(-1!==o&&(this._allOutputIndices[o]=n),i&&i.length>0)for(let s of i){let t=this._nodes[s].inputs.indexOf(r);if(-1===t)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[s].inputs[t]=n,this._allData[n].to.push(s)}}removeAllDropoutNodes(){let t=0;for(let e of this._nodes){if("Dropout"===e.opType){if(1!==e.inputs.length)throw new Error("Dropout nodes should only contain one input. ");if(1!==e.outputs.length&&2!==e.outputs.length)throw new Error("Dropout nodes should contain either 1 or 2 output(s)");if(2===e.outputs.length&&0!==this._allData[e.outputs[1]]._to.length)throw new Error("Dropout nodes's second output should not be referenced by other nodes");this.deleteNode(t)}t++}}removeAllIdentityNodes(){let t=0;for(let e of this._nodes)"Identity"===e.opType&&this.deleteNode(t),t++}isActivation(t){switch(t.opType){case"Relu":case"Sigmoid":case"Clip":return!0;default:return!1}}fuseConvActivationNodes(){for(let t of this._nodes)if("Conv"===t.opType){let e=this._allData[t.outputs[0]]._to;if(1===e.length&&this.isActivation(this._nodes[e[0]])){let n=this._nodes[e[0]];if("Clip"===n.opType)if(1===n.inputs.length)try{t.attributes.set("activation_params","floats",[n.attributes.getFloat("min"),n.attributes.getFloat("max")])}catch{t.attributes.set("activation_params","floats",[Ue,Ve])}else{if(!(n.inputs.length>=3&&void 0!==this._allData[n.inputs[1]].tensor&&void 0!==this._allData[n.inputs[2]].tensor))continue;t.attributes.set("activation_params","floats",[this._allData[n.inputs[1]].tensor.floatData[0],this._allData[n.inputs[2]].tensor.floatData[0]])}t.attributes.set("activation","string",n.opType),this.deleteNode(e[0])}}}}}),Pp,Tg,Qn,Ep=O(()=>{xn(),Ap(),Pr(),Pp=rr(sr()),Y(),Tg=F.experimental.fbs,Qn=class{constructor(){}load(t,e,n){let r;if(!n)try{return void this.loadFromOnnxFormat(t,e)}catch(i){if(void 0!==n)throw i;r=i}try{this.loadFromOrtFormat(t,e)}catch(i){throw void 0!==n?i:new Error(`Failed to load model as ONNX format: ${r}\nas ORT format: ${i}`)}}loadFromOnnxFormat(t,e){let n=Pp.onnx.ModelProto.decode(t);if(Nt.longToNumber(n.irVersion)<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=n.opsetImport.map(t=>({domain:t.domain,version:Nt.longToNumber(t.version)})),this._graph=Ui.from(n.graph,e)}loadFromOrtFormat(t,e){let n=new T.ByteBuffer(t),r=Tg.InferenceSession.getRootAsInferenceSession(n).model();if(Nt.longToNumber(r.irVersion())<3)throw new Error("only support ONNX model with IR_VERSION>=3");this._opsets=[];for(let i=0;i<r.opsetImportLength();i++){let t=r.opsetImport(i);this._opsets.push({domain:t?.domain(),version:Nt.longToNumber(t.version())})}this._graph=Ui.from(r.graph(),e)}get graph(){return this._graph}get opsets(){return this._opsets}}}),to,Dp=O(()=>{_p(),Op(),Mt(),Ep(),to=class{constructor(t={}){this._initialized=!1,this.backendHint=t.backendHint,this.profiler=gn.create(t.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(t,e,n){await this.profiler.event("session","Session.loadModel",async()=>{let r=await Ni(this.backendHint);if(this.sessionHandler=r.createSessionHandler(this.context),this._model=new Qn,"string"==typeof t){let e=t.endsWith(".ort");{let n=await(await fetch(t)).arrayBuffer();this.initialize(new Uint8Array(n),e)}}else if(ArrayBuffer.isView(t))this.initialize(t);else{let r=new Uint8Array(t,e||0,n||t.byteLength);this.initialize(r)}})}initialize(t,e){if(this._initialized)throw new Error("already initialized");
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od(this.sessionId)}async run(t,e,n){Be();let r=[],i=[];Object.entries(t).forEach(t=>{let e=t[0],n=t[1],o=this.inputNames.indexOf(e);if(-1===o)throw new Error(`invalid input '${e}'`);r.push(n),i.push(o)});let o=[],s=[];Object.entries(e).forEach(t=>{let e=t[0],n=t[1],r=this.outputNames.indexOf(e);if(-1===r)throw new Error(`invalid output '${e}'`);o.push(n),s.push(r)});let a=r.map((t,e)=>sd(t,()=>`input "${this.inputNames[i[e]]}"`)),u=o.map((t,e)=>t?sd(t,()=>`output "${this.outputNames[s[e]]}"`):null),l=await id(this.sessionId,i,a,s,u,n),p={};for(let c=0;c<l.length;c++)p[this.outputNames[s[c]]]=o[c]??Rg(l[c]);return Fe(),p}startProfiling(){}endProfiling(){ad(this.sessionId)}}}),Gg,xo,ld=O(()=>{Kt(),Qi(),ud(),Vr(),Gg=()=>{if(("number"!=typeof z.wasm.initTimeout||z.wasm.initTimeout<0)&&(z.wasm.initTimeout=0),z.wasm.simd,"boolean"!=typeof z.wasm.proxy&&(z.wasm.proxy=!1),"boolean"!=typeof z.wasm.trace&&(z.wasm.trace=!1),"number"!=typeof 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6{let t=(kp(),on($p)).onnxjsBackend;nr("webgl",t,-10)}{let t=(cd(),on(fd)).wasmBackend;nr("cpu",t,10),nr("wasm",t,10)}Object.defineProperty(z.versions,"web",{value:Ps,enumerable:!0}); 7/*! Bundled license information: 8 9long/index.js: 10 (** 11 * @license 12 * Copyright 2009 The Closure Library Authors 13 * Copyright 2020 Daniel Wirtz / The long.js Authors. 14 * 15 * Licensed under the Apache License, Version 2.0 (the "License"); 16 * you may not use this file except in compliance with the License. 17 * You may obtain a copy of the License at 18 * 19 * http://www.apache.org/licenses/LICENSE-2.0 20 * 21 * Unless required by applicable law or agreed to in writing, software 22 * distributed under the License is distributed on an "AS IS" BASIS, 23 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 24 * See the License for the specific language governing permissions and 25 * limitations under the License. 26 * 27 * SPDX-License-Identifier: Apache-2.0 28 *) 29*/ 30export{Kd as InferenceSession,ys as TRACE,Be as TRACE_FUNC_BEGIN,Fe as TRACE_FUNC_END,Tt as Tensor,Yd as TrainingSession,bO as default,z as env,nr as registerBackend};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.