Spaces:
Sleeping
Sleeping
// automatically generated by the FlatBuffers compiler, do not modify | |
import * as flatbuffers from 'flatbuffers'; | |
import { Buffer } from './buffer.js'; | |
import { TensorDim } from './tensor-dim.js'; | |
import { Type } from './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); | |
} | |
typeType():Type { | |
const offset = this.bb!.__offset(this.bb_pos, 4); | |
return offset ? this.bb!.readUint8(this.bb_pos + offset) : Type.NONE; | |
} | |
/** | |
* The type of data contained in a value cell. Currently only fixed-width | |
* value types are supported, no strings or nested types | |
*/ | |
// @ts-ignore | |
type<T extends flatbuffers.Table>(obj:any):any|null { | |
const offset = this.bb!.__offset(this.bb_pos, 6); | |
return offset ? this.bb!.__union(obj, this.bb_pos + offset) : null; | |
} | |
/** | |
* The dimensions of the tensor, optionally named | |
*/ | |
shape(index: number, obj?:TensorDim):TensorDim|null { | |
const offset = this.bb!.__offset(this.bb_pos, 8); | |
return offset ? (obj || new TensorDim()).__init(this.bb!.__indirect(this.bb!.__vector(this.bb_pos + offset) + index * 4), this.bb!) : null; | |
} | |
shapeLength():number { | |
const offset = this.bb!.__offset(this.bb_pos, 8); | |
return offset ? this.bb!.__vector_len(this.bb_pos + offset) : 0; | |
} | |
/** | |
* Non-negative byte offsets to advance one value cell along each dimension | |
* If omitted, default to row-major order (C-like). | |
*/ | |
strides(index: number):flatbuffers.Long|null { | |
const offset = this.bb!.__offset(this.bb_pos, 10); | |
return offset ? this.bb!.readInt64(this.bb!.__vector(this.bb_pos + offset) + index * 8) : this.bb!.createLong(0, 0); | |
} | |
stridesLength():number { | |
const offset = this.bb!.__offset(this.bb_pos, 10); | |
return offset ? this.bb!.__vector_len(this.bb_pos + offset) : 0; | |
} | |
/** | |
* The location and size of the tensor's data | |
*/ | |
data(obj?:Buffer):Buffer|null { | |
const offset = this.bb!.__offset(this.bb_pos, 12); | |
return offset ? (obj || new Buffer()).__init(this.bb_pos + offset, this.bb!) : null; | |
} | |
static startTensor(builder:flatbuffers.Builder) { | |
builder.startObject(5); | |
} | |
static addTypeType(builder:flatbuffers.Builder, typeType:Type) { | |
builder.addFieldInt8(0, typeType, Type.NONE); | |
} | |
static addType(builder:flatbuffers.Builder, typeOffset:flatbuffers.Offset) { | |
builder.addFieldOffset(1, typeOffset, 0); | |
} | |
static addShape(builder:flatbuffers.Builder, shapeOffset:flatbuffers.Offset) { | |
builder.addFieldOffset(2, shapeOffset, 0); | |
} | |
static createShapeVector(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 startShapeVector(builder:flatbuffers.Builder, numElems:number) { | |
builder.startVector(4, numElems, 4); | |
} | |
static addStrides(builder:flatbuffers.Builder, stridesOffset:flatbuffers.Offset) { | |
builder.addFieldOffset(3, stridesOffset, 0); | |
} | |
static createStridesVector(builder:flatbuffers.Builder, data:flatbuffers.Long[]):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 startStridesVector(builder:flatbuffers.Builder, numElems:number) { | |
builder.startVector(8, numElems, 8); | |
} | |
static addData(builder:flatbuffers.Builder, dataOffset:flatbuffers.Offset) { | |
builder.addFieldStruct(4, dataOffset, 0); | |
} | |
static endTensor(builder:flatbuffers.Builder):flatbuffers.Offset { | |
const offset = builder.endObject(); | |
builder.requiredField(offset, 6) // type | |
builder.requiredField(offset, 8) // shape | |
builder.requiredField(offset, 12) // data | |
return offset; | |
} | |
static finishTensorBuffer(builder:flatbuffers.Builder, offset:flatbuffers.Offset) { | |
builder.finish(offset); | |
} | |
static finishSizePrefixedTensorBuffer(builder:flatbuffers.Builder, offset:flatbuffers.Offset) { | |
builder.finish(offset, undefined, true); | |
} | |
} | |