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 <vector> 20 #include <memory> 21 22 #include "ops/primitive_c.h" 23 #include "abstract/abstract_value.h" 24 #include "utils/check_convert_utils.h" 25 26 namespace mindspore { 27 namespace ops { 28 constexpr auto kNameGroupConv2DGradInput = "GroupConv2DGradInput"; 29 class MS_CORE_API GroupConv2DGradInput : public PrimitiveC { 30 public: GroupConv2DGradInput()31 GroupConv2DGradInput() : PrimitiveC(kNameGroupConv2DGradInput) {} 32 ~GroupConv2DGradInput() = default; 33 MS_DECLARE_PARENT(GroupConv2DGradInput, PrimitiveC); 34 void Init(const int64_t &in_channel, const int64_t &out_channel, const std::vector<int64_t> &kernel_size, 35 const PadMode &pad_mode, const std::vector<int64_t> &pad_list, const std::vector<int64_t> &stride, 36 const std::vector<int64_t> &dilation, const int64_t &group, const std::vector<int64_t> &input_shape, 37 const Format &format = NCHW, const ActivationType &activation_type = NO_ACTIVATION, 38 const bool has_bias = false); 39 void set_in_channel(const int64_t &in_channel); 40 void set_out_channel(const int64_t &out_channel); 41 void set_kernel_size(const std::vector<int64_t> &kernel_size); 42 void set_pad_mode(const PadMode &pad_mode); 43 void set_pad_list(const std::vector<int64_t> &pad_list); 44 void set_stride(const std::vector<int64_t> &stride); 45 void set_dilation(const std::vector<int64_t> &dilation); 46 void set_group(const int64_t &group); 47 void set_input_shape(const std::vector<int64_t> &input_shape); 48 void set_format(const Format &format); 49 void set_activation_type(const ActivationType &activation_type); 50 void set_has_bias(const bool has_bias); 51 // kernel_size(h, w) 52 // stride(h, w) 53 // pad_list(up, down, left, right) 54 55 int64_t get_in_channel() const; 56 int64_t get_out_channel() const; 57 std::vector<int64_t> get_kernel_size() const; 58 PadMode get_pad_mode() const; 59 std::vector<int64_t> get_pad_list() const; 60 std::vector<int64_t> get_stride() const; 61 std::vector<int64_t> get_dilation() const; 62 int64_t get_group() const; 63 std::vector<int64_t> get_input_shape() const; 64 Format get_format() const; 65 ActivationType get_activation_type() const; 66 bool get_has_bias() const; 67 }; 68 AbstractBasePtr GroupConv2DGradInputInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 69 const std::vector<AbstractBasePtr> &input_args); 70 using PrimGroupConv2DGradInputPtr = std::shared_ptr<GroupConv2DGradInput>; 71 } // namespace ops 72 } // namespace mindspore 73 74 #endif // MINDSPORE_CORE_OPS_GROUP_CONV2D_GRAD_INPUT_H_ 75