* 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)};
}
}