1 /** 2 * Copyright 2020-2021 Huawei Technologies Co., Ltd 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 MINDSPORE_CORE_OPS_CONV2D_BACKPROP_INPUT_FUSION_H_ 18 #define MINDSPORE_CORE_OPS_CONV2D_BACKPROP_INPUT_FUSION_H_ 19 #include <vector> 20 #include "ops/grad/conv2d_backprop_input.h" 21 #include "ops/op_utils.h" 22 #include "utils/check_convert_utils.h" 23 24 namespace mindspore { 25 namespace ops { 26 constexpr auto kNameConv2DBackpropInputFusion = "Conv2DBackpropInputFusion"; 27 /// \brief Conv2DBackpropInputFusion defined Conv2DBackpropInput operator prototype of lite. 28 class MS_CORE_API Conv2DBackpropInputFusion : public Conv2DBackpropInput { 29 public: 30 /// \brief Constructor. Conv2DBackpropInputFusion()31 Conv2DBackpropInputFusion() : Conv2DBackpropInput(kNameConv2DBackpropInputFusion) {} 32 33 /// \brief Destructor. 34 ~Conv2DBackpropInputFusion() = default; 35 36 MS_DECLARE_PARENT(Conv2DBackpropInputFusion, Conv2DBackpropInput); 37 38 /// \brief Method to init the op's attributes. 39 /// 40 /// \param[in] in_channel Define the number of input channel. 41 /// \param[in] out_channel Define the number of output channel. 42 /// \param[in] kernel_size Define the size of the filter kernel. 43 /// \param[in] mode Define the category of conv, which is useless on lite. 44 /// \param[in] pad_mode Define the padding method. 45 /// \param[in] pad Define the concrete padding value on H and W dimension, which is replaced with pad_list. 46 /// \param[in] stride Define the moving size of the filter kernel. 47 /// \param[in] dilation Define the coefficient of expansion of the filter kernel, which is useful for dilated 48 /// convolution. 49 /// \param[in] group Define the number of group. 50 /// \param[in] format Define the format of input tensor. 51 /// \param[in] pad_list Define the concrete padding value on H and W dimension. 52 /// \param[in] activation_type Define the activation type. 53 void Init(int64_t in_channel, int64_t out_channel, const std::vector<int64_t> &kernel_size, int64_t mode = 1, 54 const PadMode &pad_mode = VALID, const std::vector<int64_t> &pad = {0, 0, 0, 0}, 55 const std::vector<int64_t> &stride = {1, 1, 1, 1}, const std::vector<int64_t> &dilation = {1, 1, 1, 1}, 56 int64_t group = 1, const Format &format = NCHW, const std::vector<int64_t> &pad_list = {0, 0, 0, 0}, 57 const ActivationType &activation_type = NO_ACTIVATION); 58 59 /// \brief Method to set in_channel attribute. 60 /// 61 /// \param[in] in_channel Define the number of input channel. 62 void set_in_channel(int64_t in_channel); 63 64 /// \brief Method to set activation type. 65 /// 66 /// \param[in] activation_type Define the activation type. 67 void set_activation_type(const ActivationType &activation_type); 68 69 /// \brief Method to get in_channel attribute. 70 /// 71 /// \return the number of input channel. 72 int64_t get_in_channel() const; 73 74 /// \brief Method to get activation type. 75 /// 76 /// \return activation type. 77 ActivationType get_activation_type() const; 78 }; 79 } // namespace ops 80 } // namespace mindspore 81 82 #endif // MINDSPORE_CORE_OPS_CONV2D_BACKPROP_INPUT_FUSION_H_ 83