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Tensor.go
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Tensor.go
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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Code generated by the FlatBuffers compiler. DO NOT EDIT.
package flatbuf
import (
flatbuffers "github.com/google/flatbuffers/go"
)
type Tensor struct {
_tab flatbuffers.Table
}
func GetRootAsTensor(buf []byte, offset flatbuffers.UOffsetT) *Tensor {
n := flatbuffers.GetUOffsetT(buf[offset:])
x := &Tensor{}
x.Init(buf, n+offset)
return x
}
func (rcv *Tensor) Init(buf []byte, i flatbuffers.UOffsetT) {
rcv._tab.Bytes = buf
rcv._tab.Pos = i
}
func (rcv *Tensor) Table() flatbuffers.Table {
return rcv._tab
}
func (rcv *Tensor) TypeType() Type {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
return Type(rcv._tab.GetByte(o + rcv._tab.Pos))
}
return 0
}
func (rcv *Tensor) MutateTypeType(n Type) bool {
return rcv._tab.MutateByteSlot(4, byte(n))
}
/// The type of data contained in a value cell. Currently only fixed-width
/// value types are supported, no strings or nested types
func (rcv *Tensor) Type(obj *flatbuffers.Table) bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(6))
if o != 0 {
rcv._tab.Union(obj, o)
return true
}
return false
}
/// The type of data contained in a value cell. Currently only fixed-width
/// value types are supported, no strings or nested types
/// The dimensions of the tensor, optionally named
func (rcv *Tensor) Shape(obj *TensorDim, j int) bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(8))
if o != 0 {
x := rcv._tab.Vector(o)
x += flatbuffers.UOffsetT(j) * 4
x = rcv._tab.Indirect(x)
obj.Init(rcv._tab.Bytes, x)
return true
}
return false
}
func (rcv *Tensor) ShapeLength() int {
o := flatbuffers.UOffsetT(rcv._tab.Offset(8))
if o != 0 {
return rcv._tab.VectorLen(o)
}
return 0
}
/// The dimensions of the tensor, optionally named
/// Non-negative byte offsets to advance one value cell along each dimension
/// If omitted, default to row-major order (C-like).
func (rcv *Tensor) Strides(j int) int64 {
o := flatbuffers.UOffsetT(rcv._tab.Offset(10))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.GetInt64(a + flatbuffers.UOffsetT(j*8))
}
return 0
}
func (rcv *Tensor) StridesLength() int {
o := flatbuffers.UOffsetT(rcv._tab.Offset(10))
if o != 0 {
return rcv._tab.VectorLen(o)
}
return 0
}
/// Non-negative byte offsets to advance one value cell along each dimension
/// If omitted, default to row-major order (C-like).
func (rcv *Tensor) MutateStrides(j int, n int64) bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(10))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.MutateInt64(a+flatbuffers.UOffsetT(j*8), n)
}
return false
}
/// The location and size of the tensor's data
func (rcv *Tensor) Data(obj *Buffer) *Buffer {
o := flatbuffers.UOffsetT(rcv._tab.Offset(12))
if o != 0 {
x := o + rcv._tab.Pos
if obj == nil {
obj = new(Buffer)
}
obj.Init(rcv._tab.Bytes, x)
return obj
}
return nil
}
/// The location and size of the tensor's data
func TensorStart(builder *flatbuffers.Builder) {
builder.StartObject(5)
}
func TensorAddTypeType(builder *flatbuffers.Builder, typeType Type) {
builder.PrependByteSlot(0, byte(typeType), 0)
}
func TensorAddType(builder *flatbuffers.Builder, type_ flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(1, flatbuffers.UOffsetT(type_), 0)
}
func TensorAddShape(builder *flatbuffers.Builder, shape flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(2, flatbuffers.UOffsetT(shape), 0)
}
func TensorStartShapeVector(builder *flatbuffers.Builder, numElems int) flatbuffers.UOffsetT {
return builder.StartVector(4, numElems, 4)
}
func TensorAddStrides(builder *flatbuffers.Builder, strides flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(3, flatbuffers.UOffsetT(strides), 0)
}
func TensorStartStridesVector(builder *flatbuffers.Builder, numElems int) flatbuffers.UOffsetT {
return builder.StartVector(8, numElems, 8)
}
func TensorAddData(builder *flatbuffers.Builder, data flatbuffers.UOffsetT) {
builder.PrependStructSlot(4, flatbuffers.UOffsetT(data), 0)
}
func TensorEnd(builder *flatbuffers.Builder) flatbuffers.UOffsetT {
return builder.EndObject()
}