Imported Upstream version 1.18.0
[platform/core/ml/nnfw.git] / compiler / tflchef / core / src / CustomOp / BroadcastTo.cpp
1 /*
2  * Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
3  * Copyright 2015 The TensorFlow Authors. All Rights Reserved.
4  *
5  * Licensed under the Apache License, Version 2.0 (the "License");
6  * you may not use this file except in compliance with the License.
7  * You may obtain a copy of the License at
8  *
9  *    http://www.apache.org/licenses/LICENSE-2.0
10  *
11  * Unless required by applicable law or agreed to in writing, software
12  * distributed under the License is distributed on an "AS IS" BASIS,
13  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14  * See the License for the specific language governing permissions and
15  * limitations under the License.
16  */
17
18 #include "BroadcastTo.h"
19
20 #include <flatbuffers/flexbuffers.h>
21
22 flatbuffers::Offset<void> BroadcastToChef::value(flatbuffers::FlatBufferBuilder &fbb) const
23 {
24   return flatbuffers::Offset<void>();
25 }
26
27 flatbuffers::Offset<flatbuffers::Vector<uint8_t>>
28 BroadcastToChef::custom_value(flatbuffers::FlatBufferBuilder &fbb) const
29 {
30   auto &operation = (*_operation);
31
32   assert(operation.type() == "BroadcastTo");
33
34   /**
35    * REGISTER_OP("BroadcastTo")
36     .Input("input: T")
37     .Input("shape: Tidx")
38     .Output("output: T")
39     .Attr("T: type")
40     .Attr("Tidx: {int32, int64} = DT_INT32")
41     .SetShapeFn([](InferenceContext* c)
42    */
43
44   auto flex_buffers = std::make_unique<flexbuffers::Builder>();
45   size_t map_start = flex_buffers->StartMap();
46
47   // TODO Support more data types
48   flex_buffers->Int("T", tflite::TensorType_FLOAT32);
49   flex_buffers->Int("Tidx", tflite::TensorType_INT32);
50
51   flex_buffers->EndMap(map_start);
52   flex_buffers->Finish();
53
54   auto circle_custom_options = fbb.CreateVector(flex_buffers->GetBuffer());
55   return circle_custom_options;
56 }
57
58 std::unique_ptr<OpChef> BroadcastToChefFactory::create(const tflchef::Operation *operation) const
59 {
60   return std::unique_ptr<OpChef>{new BroadcastToChef{operation}};
61 }