apache-arrow
Version:
Apache Arrow columnar in-memory format
120 lines (118 loc) • 4.24 kB
JavaScript
// automatically generated by the FlatBuffers compiler, do not modify
import * as flatbuffers from 'flatbuffers';
import { Buffer } from './buffer.mjs';
import { TensorDim } from './tensor-dim.mjs';
import { Type } from './type.mjs';
export class Tensor {
constructor() {
this.bb = null;
this.bb_pos = 0;
}
__init(i, bb) {
this.bb_pos = i;
this.bb = bb;
return this;
}
static getRootAsTensor(bb, obj) {
return (obj || new Tensor()).__init(bb.readInt32(bb.position()) + bb.position(), bb);
}
static getSizePrefixedRootAsTensor(bb, obj) {
bb.setPosition(bb.position() + flatbuffers.SIZE_PREFIX_LENGTH);
return (obj || new Tensor()).__init(bb.readInt32(bb.position()) + bb.position(), bb);
}
typeType() {
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(obj) {
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, obj) {
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() {
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) {
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() {
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) {
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) {
builder.startObject(5);
}
static addTypeType(builder, typeType) {
builder.addFieldInt8(0, typeType, Type.NONE);
}
static addType(builder, typeOffset) {
builder.addFieldOffset(1, typeOffset, 0);
}
static addShape(builder, shapeOffset) {
builder.addFieldOffset(2, shapeOffset, 0);
}
static createShapeVector(builder, data) {
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, numElems) {
builder.startVector(4, numElems, 4);
}
static addStrides(builder, stridesOffset) {
builder.addFieldOffset(3, stridesOffset, 0);
}
static createStridesVector(builder, data) {
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, numElems) {
builder.startVector(8, numElems, 8);
}
static addData(builder, dataOffset) {
builder.addFieldStruct(4, dataOffset, 0);
}
static endTensor(builder) {
const offset = builder.endObject();
builder.requiredField(offset, 6); // type
builder.requiredField(offset, 8); // shape
builder.requiredField(offset, 12); // data
return offset;
}
static finishTensorBuffer(builder, offset) {
builder.finish(offset);
}
static finishSizePrefixedTensorBuffer(builder, offset) {
builder.finish(offset, undefined, true);
}
}
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