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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"
)
// / ----------------------------------------------------------------------
// / Data structures for dense tensors
// / Shape data for a single axis in a tensor
type TensorDim struct {
_tab flatbuffers.Table
}
func GetRootAsTensorDim(buf []byte, offset flatbuffers.UOffsetT) *TensorDim {
n := flatbuffers.GetUOffsetT(buf[offset:])
x := &TensorDim{}
x.Init(buf, n+offset)
return x
}
func (rcv *TensorDim) Init(buf []byte, i flatbuffers.UOffsetT) {
rcv._tab.Bytes = buf
rcv._tab.Pos = i
}
func (rcv *TensorDim) Table() flatbuffers.Table {
return rcv._tab
}
// / Length of dimension
func (rcv *TensorDim) Size() int64 {
o := flatbuffers.UOffsetT(rcv._tab.Offset(4))
if o != 0 {
return rcv._tab.GetInt64(o + rcv._tab.Pos)
}
return 0
}
// / Length of dimension
func (rcv *TensorDim) MutateSize(n int64) bool {
return rcv._tab.MutateInt64Slot(4, n)
}
// / Name of the dimension, optional
func (rcv *TensorDim) Name() []byte {
o := flatbuffers.UOffsetT(rcv._tab.Offset(6))
if o != 0 {
return rcv._tab.ByteVector(o + rcv._tab.Pos)
}
return nil
}
// / Name of the dimension, optional
func TensorDimStart(builder *flatbuffers.Builder) {
builder.StartObject(2)
}
func TensorDimAddSize(builder *flatbuffers.Builder, size int64) {
builder.PrependInt64Slot(0, size, 0)
}
func TensorDimAddName(builder *flatbuffers.Builder, name flatbuffers.UOffsetT) {
builder.PrependUOffsetTSlot(1, flatbuffers.UOffsetT(name), 0)
}
func TensorDimEnd(builder *flatbuffers.Builder) flatbuffers.UOffsetT {
return builder.EndObject()
}
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