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_DE_CONV2D_GRAD_FILTER_H_ 18 #define MINDSPORE_CORE_OPS_DE_CONV2D_GRAD_FILTER_H_ 19 #include <vector> 20 21 #include "mindapi/base/format.h" 22 #include "mindapi/base/types.h" 23 #include "ops/base_operator.h" 24 25 namespace mindspore { 26 namespace ops { 27 constexpr auto kNameDeConv2DGradFilter = "DeConv2DGradFilter"; 28 class MIND_API DeConv2DGradFilter : public BaseOperator { 29 public: 30 MIND_API_BASE_MEMBER(DeConv2DGradFilter); DeConv2DGradFilter()31 DeConv2DGradFilter() : BaseOperator(kNameDeConv2DGradFilter) {} 32 void Init(const int64_t in_channel, const int64_t out_channel, const std::vector<int64_t> &kernel_size, 33 const PadMode &pad_mode, const std::vector<int64_t> &pad_list, const std::vector<int64_t> &stride, 34 const std::vector<int64_t> &dilation, const int64_t group, const Format &format = NCHW, 35 const ActivationType &activation_type = NO_ACTIVATION, const bool has_bias = false); 36 void set_in_channel(const int64_t in_channel); 37 void set_out_channel(const int64_t out_channel); 38 void set_kernel_size(const std::vector<int64_t> &kernel_size); 39 void set_pad_mode(const PadMode &pad_mode); 40 void set_pad_list(const std::vector<int64_t> &pad_list); 41 void set_stride(const std::vector<int64_t> &stride); 42 void set_dilation(const std::vector<int64_t> &dilation); 43 void set_group(const int64_t group); 44 void set_format(const Format &format); 45 void set_activation_type(const ActivationType &activation_type); 46 void set_has_bias(const bool has_bias); 47 // kernel_size(h, w) 48 // stride(h, w) 49 // pad_list(up, down, left, right) 50 51 int64_t get_in_channel() const; 52 int64_t get_out_channel() const; 53 std::vector<int64_t> get_kernel_size() const; 54 PadMode get_pad_mode() const; 55 std::vector<int64_t> get_pad_list() const; 56 std::vector<int64_t> get_stride() const; 57 std::vector<int64_t> get_dilation() const; 58 int64_t get_group() const; 59 Format get_format() const; 60 ActivationType get_activation_type() const; 61 bool get_has_bias() const; 62 }; 63 } // namespace ops 64 } // namespace mindspore 65 66 #endif // MINDSPORE_CORE_OPS_DE_CONV2D_GRAD_FILTER_H_ 67