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Tensor.go
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Tensor.go
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// Code generated by the FlatBuffers compiler. DO NOT EDIT.
package tflite
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 GetSizePrefixedRootAsTensor(buf []byte, offset flatbuffers.UOffsetT) *Tensor {
n := flatbuffers.GetUOffsetT(buf[offset+flatbuffers.SizeUint32:])
x := &Tensor{}
x.Init(buf, n+offset+flatbuffers.SizeUint32)
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) Shape(j int) int32 {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.GetInt32(a + flatbuffers.UOffsetT(j*4))
}
return 0
}
func (rcv *Tensor) ShapeLength() int {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
return rcv._tab.VectorLen(o)
}
return 0
}
func (rcv *Tensor) MutateShape(j int, n int32) bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.MutateInt32(a+flatbuffers.UOffsetT(j*4), n)
}
return false
}
func (rcv *Tensor) Type() TensorType {
o := flatbuffers.UOffsetT(rcv._tab.Offset(6))
if o != 0 {
return TensorType(rcv._tab.GetInt8(o + rcv._tab.Pos))
}
return 0
}
func (rcv *Tensor) MutateType(n TensorType) bool {
return rcv._tab.MutateInt8Slot(6, int8(n))
}
func (rcv *Tensor) Buffer() uint32 {
o := flatbuffers.UOffsetT(rcv._tab.Offset(8))
if o != 0 {
return rcv._tab.GetUint32(o + rcv._tab.Pos)
}
return 0
}
func (rcv *Tensor) MutateBuffer(n uint32) bool {
return rcv._tab.MutateUint32Slot(8, n)
}
func (rcv *Tensor) Name() []byte {
o := flatbuffers.UOffsetT(rcv._tab.Offset(10))
if o != 0 {
return rcv._tab.ByteVector(o + rcv._tab.Pos)
}
return nil
}
func (rcv *Tensor) Quantization(obj *QuantizationParameters) *QuantizationParameters {
o := flatbuffers.UOffsetT(rcv._tab.Offset(12))
if o != 0 {
x := rcv._tab.Indirect(o + rcv._tab.Pos)
if obj == nil {
obj = new(QuantizationParameters)
}
obj.Init(rcv._tab.Bytes, x)
return obj
}
return nil
}
func (rcv *Tensor) IsVariable() bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(14))
if o != 0 {
return rcv._tab.GetBool(o + rcv._tab.Pos)
}
return false
}
func (rcv *Tensor) MutateIsVariable(n bool) bool {
return rcv._tab.MutateBoolSlot(14, n)
}
func (rcv *Tensor) Sparsity(obj *SparsityParameters) *SparsityParameters {
o := flatbuffers.UOffsetT(rcv._tab.Offset(16))
if o != 0 {
x := rcv._tab.Indirect(o + rcv._tab.Pos)
if obj == nil {
obj = new(SparsityParameters)
}
obj.Init(rcv._tab.Bytes, x)
return obj
}
return nil
}
func (rcv *Tensor) ShapeSignature(j int) int32 {
o := flatbuffers.UOffsetT(rcv._tab.Offset(18))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.GetInt32(a + flatbuffers.UOffsetT(j*4))
}
return 0
}
func (rcv *Tensor) ShapeSignatureLength() int {
o := flatbuffers.UOffsetT(rcv._tab.Offset(18))
if o != 0 {
return rcv._tab.VectorLen(o)
}
return 0
}
func (rcv *Tensor) MutateShapeSignature(j int, n int32) bool {
o := flatbuffers.UOffsetT(rcv._tab.Offset(18))
if o != 0 {
a := rcv._tab.Vector(o)
return rcv._tab.MutateInt32(a+flatbuffers.UOffsetT(j*4), n)
}
return false
}
func TensorStart(builder *flatbuffers.Builder) {
builder.StartObject(8)
}
func TensorAddShape(builder *flatbuffers.Builder, shape flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(0, flatbuffers.UOffsetT(shape), 0)
}
func TensorStartShapeVector(builder *flatbuffers.Builder, numElems int) flatbuffers.UOffsetT {
return builder.StartVector(4, numElems, 4)
}
func TensorAddType(builder *flatbuffers.Builder, type_ TensorType) {
builder.PrependInt8Slot(1, int8(type_), 0)
}
func TensorAddBuffer(builder *flatbuffers.Builder, buffer uint32) {
builder.PrependUint32Slot(2, buffer, 0)
}
func TensorAddName(builder *flatbuffers.Builder, name flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(3, flatbuffers.UOffsetT(name), 0)
}
func TensorAddQuantization(builder *flatbuffers.Builder, quantization flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(4, flatbuffers.UOffsetT(quantization), 0)
}
func TensorAddIsVariable(builder *flatbuffers.Builder, isVariable bool) {
builder.PrependBoolSlot(5, isVariable, false)
}
func TensorAddSparsity(builder *flatbuffers.Builder, sparsity flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(6, flatbuffers.UOffsetT(sparsity), 0)
}
func TensorAddShapeSignature(builder *flatbuffers.Builder, shapeSignature flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(7, flatbuffers.UOffsetT(shapeSignature), 0)
}
func TensorStartShapeSignatureVector(builder *flatbuffers.Builder, numElems int) flatbuffers.UOffsetT {
return builder.StartVector(4, numElems, 4)
}
func TensorEnd(builder *flatbuffers.Builder) flatbuffers.UOffsetT {
return builder.EndObject()
}