1 /** 2 * Copyright 2020 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_MAX_POOL_H_ 18 #define MINDSPORE_CORE_OPS_MAX_POOL_H_ 19 20 #include <map> 21 #include <memory> 22 #include <string> 23 #include <vector> 24 25 #include "mindapi/base/format.h" 26 #include "mindapi/base/types.h" 27 #include "ops/base_operator.h" 28 29 namespace mindspore { 30 namespace ops { 31 constexpr auto kNameMaxPool = "MaxPool"; 32 /// \brief Max pooling operation. Refer to Python API @ref mindspore.ops.MaxPool for more details. 33 class MIND_API MaxPool : public BaseOperator { 34 public: 35 MIND_API_BASE_MEMBER(MaxPool); 36 /// \brief Constructor. MaxPool()37 MaxPool() : BaseOperator(kNameMaxPool) { InitIOName({"x"}, {"output"}); } MaxPool(const std::string k_name)38 explicit MaxPool(const std::string k_name) : BaseOperator(k_name) { InitIOName({"x"}, {"output"}); } 39 /// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.MaxPool for the inputs. 40 void Init(const std::vector<int64_t> &kernel_size = {1}, const std::vector<int64_t> &stride = {1}, 41 const PadMode &pad_mode = VALID, const Format &format = NCHW, 42 const std::vector<int64_t> &pad = {0, 0, 0, 0}, const RoundMode &round_mode = RoundMode::FLOOR); 43 /// \brief Set pad_mode. 44 void set_pad_mode(const PadMode &pad_mode); 45 /// \brief Set kernel_size. 46 void set_kernel_size(const std::vector<int64_t> &kernel_size); 47 /// \brief Set strides. 48 void set_strides(const std::vector<int64_t> &strides); 49 /// \brief Set format. 50 void set_format(const Format &format); 51 /// \brief Set pad. 52 void set_pad(const std::vector<int64_t> &pad); 53 /// \brief Set round_mode. 54 void set_round_mode(const RoundMode &round_mode); 55 56 /// \brief Get kernel_size. 57 /// 58 /// \return kernel_size. 59 std::vector<int64_t> get_kernel_size() const; 60 /// \brief Get strides. 61 /// 62 /// \return strides. 63 std::vector<int64_t> get_strides() const; 64 /// \brief Get pad_mode. 65 /// 66 /// \return pad_mode. 67 PadMode get_pad_mode() const; 68 /// \brief Get format. 69 /// 70 /// \return format. 71 Format get_format() const; 72 /// \brief Get pad. 73 /// 74 /// \return pad. 75 std::vector<int64_t> get_pad() const; 76 /// \brief Get round_mode. 77 /// 78 /// \return round_mode. 79 RoundMode get_round_mode() const; 80 }; 81 82 MIND_API abstract::AbstractBasePtr MaxPoolInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 83 const std::vector<abstract::AbstractBasePtr> &input_args); 84 } // namespace ops 85 } // namespace mindspore 86 87 #endif // MINDSPORE_CORE_OPS_MAX_POOL_H_ 88