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_AVG_POOL_FUSION_H_ 18 #define MINDSPORE_CORE_OPS_AVG_POOL_FUSION_H_ 19 #include <memory> 20 #include <vector> 21 #include "ops/base_operator.h" 22 #include "mindapi/base/types.h" 23 #include "mindapi/base/format.h" 24 25 namespace mindspore { 26 namespace ops { 27 constexpr auto kNameAvgPoolFusion = "AvgPoolFusion"; 28 /// \brief AvgPoolFusion defined AvgPool operator prototype of lite. 29 class MIND_API AvgPoolFusion : public BaseOperator { 30 public: 31 MIND_API_BASE_MEMBER(AvgPoolFusion); 32 /// \brief Constructor. AvgPoolFusion()33 AvgPoolFusion() : BaseOperator(kNameAvgPoolFusion) { InitIOName({"x"}, {"output"}); } 34 35 /// \brief Method to init the op's attributes. 36 /// 37 /// \param[in] kernel_size Define the size of the kernel. 38 /// \param[in] stride Define the moving size of the kernel. 39 /// \param[in] pad_mode Define the padding method. 40 /// \param[in] format Define the format of input tensor. 41 /// \param[in] pad Define the concrete padding value on each dimension 42 /// \param[in] round_mode Define numerical operation mode of the output tensor. 43 /// \param[in] global Define a boolean value to indicate whether to do global pooling. If true, kernel_size will be 44 /// useless. 45 /// \param[in] activation_type Define the activation type. 46 void Init(const std::vector<int64_t> &kernel_size = {1}, const std::vector<int64_t> &stride = {1}, 47 const PadMode &pad_mode = VALID, const Format &format = NCHW, 48 const std::vector<int64_t> &pad = {0, 0, 0, 0}, const RoundMode &round_mode = RoundMode::FLOOR, 49 const bool global = false, const ActivationType activation_type = NO_ACTIVATION); 50 51 /// \brief Set pad_mode. 52 void set_pad_mode(const int64_t &pad_mode); 53 /// \brief Set kernel_size. 54 void set_kernel_size(const std::vector<int64_t> &kernel_size); 55 /// \brief Set strides. 56 void set_strides(const std::vector<int64_t> &strides); 57 /// \brief Set format. 58 void set_data_format(const int64_t &data_format); 59 /// \brief Set pad. 60 void set_pad(const std::vector<int64_t> &pad); 61 /// \brief Set round_mode. 62 void set_round_mode(const int64_t &round_mode); 63 64 /// \brief Get kernel_size. 65 /// 66 /// \return kernel_size. 67 std::vector<int64_t> get_kernel_size() const; 68 /// \brief Get strides. 69 /// 70 /// \return strides. 71 std::vector<int64_t> get_strides() const; 72 /// \brief Get pad_mode. 73 /// 74 /// \return pad_mode. 75 int64_t get_pad_mode() const; 76 /// \brief Get format. 77 /// 78 /// \return format. 79 int64_t get_data_format() const; 80 /// \brief Get pad. 81 /// 82 /// \return pad. 83 std::vector<int64_t> get_pad() const; 84 /// \brief Get round_mode. 85 /// 86 /// \return round_mode. 87 int64_t get_round_mode() const; 88 89 /// \brief Method to set global attribute. 90 /// 91 /// \param[in] global Define a boolean value to indicate whether to do global pooling. If true, kernel_size will be 92 /// useless. 93 void set_global(const bool global); 94 95 /// \brief Method to set activation type. 96 /// 97 /// \param[in] activation_type Define the activation type. 98 void set_activation_type(const ActivationType activation_type); 99 100 /// \brief Method to get global attribute. 101 /// 102 /// \return a boolean value to indicate whether to do global pooling. If true, kernel_size will be useless. 103 bool get_global() const; 104 105 /// \brief Method to get activation type. 106 /// 107 /// \return activation type. 108 ActivationType get_activation_type() const; 109 }; 110 111 abstract::AbstractBasePtr AvgPoolFusionInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 112 const std::vector<abstract::AbstractBasePtr> &input_args); 113 } // namespace ops 114 } // namespace mindspore 115 116 #endif // MINDSPORE_CORE_OPS_AVG_POOL_FUSION_H_ 117