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49 lines
1.7 KiB
49 lines
1.7 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_INCLUDE_API_OPS_OPS_H
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#define MINDSPORE_INCLUDE_API_OPS_OPS_H
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#include <string>
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#include <vector>
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#include <map>
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#include <memory>
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#include "include/api/status.h"
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#include "include/api/types.h"
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#include "include/api/cell.h"
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namespace mindspore {
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struct MS_API Conv2D : public OpCell<Conv2D> {
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Conv2D() : OpCell("Conv2D") {}
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~Conv2D() override = default;
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std::vector<Output> Construct(const std::vector<Input> &inputs) override;
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Conv2D(int out_channel, const std::vector<int> &kernel_size, int mode = 1, const std::string &pad_mode = "valid",
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const std::vector<int> &pad = {0, 0, 0, 0}, const std::vector<int> &stride = {1, 1, 1, 1},
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const std::vector<int> &dilation = {1, 1, 1, 1}, int group = 1);
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Output operator()(const Input &, const Input &) const;
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int out_channel;
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std::vector<int> kernel_size;
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int mode = 1;
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std::string pad_mode = "valid";
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std::vector<int> pad = {0, 0, 0, 0};
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std::vector<int> stride = {1, 1, 1, 1};
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std::vector<int> dilation = {1, 1, 1, 1};
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int group = 1;
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};
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} // namespace mindspore
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#endif // MINDSPORE_INCLUDE_API_OPS_OPS_H
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