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_GROUP_CONV2D_GRAD_INPUT_H_ 18 #define MINDSPORE_CORE_OPS_GROUP_CONV2D_GRAD_INPUT_H_ 19 #include <memory> 20 #include <vector> 21 22 #include "mindapi/base/format.h" 23 #include "mindapi/base/types.h" 24 #include "ops/base_operator.h" 25 26 namespace mindspore { 27 namespace ops { 28 constexpr auto kNameGroupConv2DGradInput = "GroupConv2DGradInput"; 29 class MIND_API GroupConv2DGradInput : public BaseOperator { 30 public: 31 MIND_API_BASE_MEMBER(GroupConv2DGradInput); GroupConv2DGradInput()32 GroupConv2DGradInput() : BaseOperator(kNameGroupConv2DGradInput) {} 33 void Init(const int64_t &in_channel, const int64_t &out_channel, const std::vector<int64_t> &kernel_size, 34 const PadMode &pad_mode, const std::vector<int64_t> &pad_list, const std::vector<int64_t> &stride, 35 const std::vector<int64_t> &dilation, const int64_t &group, const std::vector<int64_t> &input_shape, 36 const Format &format = NCHW, const ActivationType &activation_type = NO_ACTIVATION, 37 const bool has_bias = false); 38 void set_in_channel(const int64_t &in_channel); 39 void set_out_channel(const int64_t &out_channel); 40 void set_kernel_size(const std::vector<int64_t> &kernel_size); 41 void set_pad_mode(const PadMode &pad_mode); 42 void set_pad_list(const std::vector<int64_t> &pad_list); 43 void set_stride(const std::vector<int64_t> &stride); 44 void set_dilation(const std::vector<int64_t> &dilation); 45 void set_group(const int64_t &group); 46 void set_input_shape(const std::vector<int64_t> &input_shape); 47 void set_format(const Format &format); 48 void set_activation_type(const ActivationType &activation_type); 49 void set_has_bias(const bool has_bias); 50 // kernel_size(h, w) 51 // stride(h, w) 52 // pad_list(up, down, left, right) 53 54 int64_t get_in_channel() const; 55 int64_t get_out_channel() const; 56 std::vector<int64_t> get_kernel_size() const; 57 PadMode get_pad_mode() const; 58 std::vector<int64_t> get_pad_list() const; 59 std::vector<int64_t> get_stride() const; 60 std::vector<int64_t> get_dilation() const; 61 int64_t get_group() const; 62 std::vector<int64_t> get_input_shape() const; 63 Format get_format() const; 64 ActivationType get_activation_type() const; 65 bool get_has_bias() const; 66 }; 67 MIND_API abstract::AbstractBasePtr GroupConv2DGradInputInfer(const abstract::AnalysisEnginePtr &, 68 const PrimitivePtr &primitive, 69 const std::vector<abstract::AbstractBasePtr> &input_args); 70 } // namespace ops 71 } // namespace mindspore 72 73 #endif // MINDSPORE_CORE_OPS_GROUP_CONV2D_GRAD_INPUT_H_ 74