ONE - On-device Neural Engine
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Conv2D.h
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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#ifndef LUCI_INTERPRETER_KERNELS_CONV2D_H
18#define LUCI_INTERPRETER_KERNELS_CONV2D_H
19
20#include "core/Kernel.h"
21#include "core/KernelParams.h"
22
23#include <memory>
24
25namespace luci_interpreter
26{
27namespace kernels
28{
29
30class Conv2D : public KernelWithParams<Conv2DParams>
31{
32public:
33 Conv2D(const Tensor *input, const Tensor *filter, const Tensor *bias, Tensor *output,
34 Tensor *scratchpad, const Conv2DParams &params);
35
36 const Tensor *input() const { return _inputs[0]; }
37 const Tensor *filter() const { return _inputs[1]; }
38 const Tensor *bias() const { return _inputs[2]; }
39 Tensor *output() const { return _outputs[0]; }
40
41 void configure() override;
42 void execute() const override;
43
44private:
45 void evalFloat() const;
46 void evalQuantized() const;
47 void evalQuantizedPerChannel() const;
48 void evalQuantizedS8PerChannel() const;
49 void evalQuantizedS16() const;
50
51private:
52 int32_t _padding_height{};
53 int32_t _padding_width{};
54};
55
56} // namespace kernels
57} // namespace luci_interpreter
58
59#endif // LUCI_INTERPRETER_KERNELS_CONV2D_H
const std::vector< const Tensor * > _inputs
Definition Kernel.h:52
const std::vector< Tensor * > _outputs
Definition Kernel.h:53
const Conv2DParams & params() const
Definition Kernel.h:67
const Tensor * input() const
Definition Conv2D.h:36
const Tensor * bias() const
Definition Conv2D.h:38
void execute() const override
Definition Conv2D.cpp:136
const Tensor * filter() const
Definition Conv2D.h:37