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- /**
- * Copyright 2020 Huawei Technologies Co., Ltd
- *
- * 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.
- */
- #include "include/api/ops/ops.h"
-
- namespace mindspore {
- Conv2D::Conv2D(int out_channel, const std::vector<int> &kernel_size, int mode, const std::string &pad_mode,
- const std::vector<int> &pad, const std::vector<int> &stride, const std::vector<int> &dilation, int group)
- : OpCell("Conv2D"),
- out_channel(out_channel),
- kernel_size(kernel_size),
- mode(mode),
- pad_mode(pad_mode),
- pad(pad),
- stride(stride),
- dilation(dilation),
- group(group) {}
-
- Output Conv2D::operator()(const Input &input1, const Input &input2) const {
- return CellBase::operator()({input1, input2})[0];
- }
-
- std::vector<Output> Conv2D::Construct(const std::vector<Input> &inputs) {
- return {Output(shared_from_this(), inputs, 1)};
- }
- } // namespace mindspore
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