ONE - On-device Neural Engine
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Squeeze.cpp
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "Squeeze.h"
18#include "Convert.h"
19
20#include <cassert>
21#include <vector>
22
24{
25 auto &operation = (*_operation);
26
27 assert(operation.has_squeeze_options());
28
29 const auto &options = operation.squeeze_options();
30 // Note: 'CreateVector' should be placed before 'CreateOptions'
31 // Read flatbuffers.h 'void NotNested()' for more information
32 auto fb_squeeze_dims =
33 fbb.CreateVector(options.squeeze_dim().data(), options.squeeze_dim().size());
34
35 return tflite::CreateSqueezeOptions(fbb, fb_squeeze_dims).Union();
36}
37
38std::unique_ptr<OpChef> SqueezeChefFactory::create(const tflchef::Operation *operation) const
39{
40 return std::unique_ptr<OpChef>{new SqueezeChef{operation}};
41}
flatbuffers::Offset< void > value(flatbuffers::FlatBufferBuilder &fbb) const override
Definition Squeeze.cpp:23
Helper class to hold data needed in creation of a FlatBuffer. To serialize data, you typically call o...
Offset< Vector< T > > CreateVector(const T *v, size_t len)
Serialize an array into a FlatBuffer vector.
std::unique_ptr< OpChef > create(const tflchef::Operation *operation) const override
Definition Squeeze.cpp:38