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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed 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.
*/
#ifndef LUCI_INTERPRETER_KERNELS_CONV2D_H
#define LUCI_INTERPRETER_KERNELS_CONV2D_H
#include "core/Kernel.h"
#include "core/KernelParams.h"
#include <memory>
namespace luci_interpreter
{
namespace kernels
{
class Conv2D : public KernelWithParams<Conv2DParams>
{
public:
Conv2D(const Tensor *input, const Tensor *filter, const Tensor *bias, Tensor *output,
const Conv2DParams ¶ms);
const Tensor *input() const { return _inputs[0]; }
const Tensor *filter() const { return _inputs[1]; }
const Tensor *bias() const { return _inputs[2]; }
Tensor *output() const { return _outputs[0]; }
void configure() override;
void execute() const override;
private:
void evalFloat() const;
void evalQuantized() const;
private:
std::unique_ptr<Tensor> _im2col;
int32_t _padding_height{};
int32_t _padding_width{};
};
} // namespace kernels
} // namespace luci_interpreter
#endif // LUCI_INTERPRETER_KERNELS_CONV2D_H
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