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onnxruntime-web

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A Javascript library for running ONNX models on browsers

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// automatically generated by the FlatBuffers compiler, do not modify /* eslint-disable @typescript-eslint/no-unused-vars, @typescript-eslint/no-explicit-any, @typescript-eslint/no-non-null-assertion */ import * as flatbuffers from 'flatbuffers'; import { TensorDataType } from '../../onnxruntime/fbs/tensor-data-type.js'; export class Tensor { bb: flatbuffers.ByteBuffer | null = null; bb_pos = 0; __init(i: number, bb: flatbuffers.ByteBuffer): Tensor { this.bb_pos = i; this.bb = bb; return this; } static getRootAsTensor(bb: flatbuffers.ByteBuffer, obj?: Tensor): Tensor { return (obj || new Tensor()).__init(bb.readInt32(bb.position()) + bb.position(), bb); } static getSizePrefixedRootAsTensor(bb: flatbuffers.ByteBuffer, obj?: Tensor): Tensor { bb.setPosition(bb.position() + flatbuffers.SIZE_PREFIX_LENGTH); return (obj || new Tensor()).__init(bb.readInt32(bb.position()) + bb.position(), bb); } name(): string | null; name(optionalEncoding: flatbuffers.Encoding): string | Uint8Array | null; name(optionalEncoding?: any): string | Uint8Array | null { const offset = this.bb!.__offset(this.bb_pos, 4); return offset ? this.bb!.__string(this.bb_pos + offset, optionalEncoding) : null; } docString(): string | null; docString(optionalEncoding: flatbuffers.Encoding): string | Uint8Array | null; docString(optionalEncoding?: any): string | Uint8Array | null { const offset = this.bb!.__offset(this.bb_pos, 6); return offset ? this.bb!.__string(this.bb_pos + offset, optionalEncoding) : null; } dims(index: number): bigint | null { const offset = this.bb!.__offset(this.bb_pos, 8); return offset ? this.bb!.readInt64(this.bb!.__vector(this.bb_pos + offset) + index * 8) : BigInt(0); } dimsLength(): number { const offset = this.bb!.__offset(this.bb_pos, 8); return offset ? this.bb!.__vector_len(this.bb_pos + offset) : 0; } dataType(): TensorDataType { const offset = this.bb!.__offset(this.bb_pos, 10); return offset ? this.bb!.readInt32(this.bb_pos + offset) : TensorDataType.UNDEFINED; } rawData(index: number): number | null { const offset = this.bb!.__offset(this.bb_pos, 12); return offset ? this.bb!.readUint8(this.bb!.__vector(this.bb_pos + offset) + index) : 0; } rawDataLength(): number { const offset = this.bb!.__offset(this.bb_pos, 12); return offset ? this.bb!.__vector_len(this.bb_pos + offset) : 0; } rawDataArray(): Uint8Array | null { const offset = this.bb!.__offset(this.bb_pos, 12); return offset ? new Uint8Array( this.bb!.bytes().buffer, this.bb!.bytes().byteOffset + this.bb!.__vector(this.bb_pos + offset), this.bb!.__vector_len(this.bb_pos + offset), ) : null; } stringData(index: number): string; stringData(index: number, optionalEncoding: flatbuffers.Encoding): string | Uint8Array; stringData(index: number, optionalEncoding?: any): string | Uint8Array | null { const offset = this.bb!.__offset(this.bb_pos, 14); return offset ? this.bb!.__string(this.bb!.__vector(this.bb_pos + offset) + index * 4, optionalEncoding) : null; } stringDataLength(): number { const offset = this.bb!.__offset(this.bb_pos, 14); return offset ? this.bb!.__vector_len(this.bb_pos + offset) : 0; } externalDataOffset(): bigint { const offset = this.bb!.__offset(this.bb_pos, 16); return offset ? this.bb!.readInt64(this.bb_pos + offset) : BigInt('-1'); } static startTensor(builder: flatbuffers.Builder) { builder.startObject(7); } static addName(builder: flatbuffers.Builder, nameOffset: flatbuffers.Offset) { builder.addFieldOffset(0, nameOffset, 0); } static addDocString(builder: flatbuffers.Builder, docStringOffset: flatbuffers.Offset) { builder.addFieldOffset(1, docStringOffset, 0); } static addDims(builder: flatbuffers.Builder, dimsOffset: flatbuffers.Offset) { builder.addFieldOffset(2, dimsOffset, 0); } static createDimsVector(builder: flatbuffers.Builder, data: bigint[]): flatbuffers.Offset { builder.startVector(8, data.length, 8); for (let i = data.length - 1; i >= 0; i--) { builder.addInt64(data[i]!); } return builder.endVector(); } static startDimsVector(builder: flatbuffers.Builder, numElems: number) { builder.startVector(8, numElems, 8); } static addDataType(builder: flatbuffers.Builder, dataType: TensorDataType) { builder.addFieldInt32(3, dataType, TensorDataType.UNDEFINED); } static addRawData(builder: flatbuffers.Builder, rawDataOffset: flatbuffers.Offset) { builder.addFieldOffset(4, rawDataOffset, 0); } static createRawDataVector(builder: flatbuffers.Builder, data: number[] | Uint8Array): flatbuffers.Offset { builder.startVector(1, data.length, 1); for (let i = data.length - 1; i >= 0; i--) { builder.addInt8(data[i]!); } return builder.endVector(); } static startRawDataVector(builder: flatbuffers.Builder, numElems: number) { builder.startVector(1, numElems, 1); } static addStringData(builder: flatbuffers.Builder, stringDataOffset: flatbuffers.Offset) { builder.addFieldOffset(5, stringDataOffset, 0); } static createStringDataVector(builder: flatbuffers.Builder, data: flatbuffers.Offset[]): flatbuffers.Offset { builder.startVector(4, data.length, 4); for (let i = data.length - 1; i >= 0; i--) { builder.addOffset(data[i]!); } return builder.endVector(); } static startStringDataVector(builder: flatbuffers.Builder, numElems: number) { builder.startVector(4, numElems, 4); } static addExternalDataOffset(builder: flatbuffers.Builder, externalDataOffset: bigint) { builder.addFieldInt64(6, externalDataOffset, BigInt('-1')); } static endTensor(builder: flatbuffers.Builder): flatbuffers.Offset { const offset = builder.endObject(); return offset; } static createTensor( builder: flatbuffers.Builder, nameOffset: flatbuffers.Offset, docStringOffset: flatbuffers.Offset, dimsOffset: flatbuffers.Offset, dataType: TensorDataType, rawDataOffset: flatbuffers.Offset, stringDataOffset: flatbuffers.Offset, externalDataOffset: bigint, ): flatbuffers.Offset { Tensor.startTensor(builder); Tensor.addName(builder, nameOffset); Tensor.addDocString(builder, docStringOffset); Tensor.addDims(builder, dimsOffset); Tensor.addDataType(builder, dataType); Tensor.addRawData(builder, rawDataOffset); Tensor.addStringData(builder, stringDataOffset); Tensor.addExternalDataOffset(builder, externalDataOffset); return Tensor.endTensor(builder); } }