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_L2_NORMALIZE_H_ 18 #define MINDSPORE_CORE_OPS_L2_NORMALIZE_H_ 19 #include <memory> 20 #include <string> 21 #include <vector> 22 #include "mindapi/base/types.h" 23 #include "ops/base_operator.h" 24 25 namespace mindspore { 26 namespace ops { 27 constexpr auto kNameL2Normalize = "L2Normalize"; 28 /// \brief L2 Normalization Operator. Refer to Python API @ref mindspore.ops.L2Normalize for more details. 29 class MIND_API L2Normalize : public BaseOperator { 30 public: 31 MIND_API_BASE_MEMBER(L2Normalize); 32 /// \brief Constructor. BaseOperator(name)33 explicit L2Normalize(const std::string &name = kNameL2Normalize) : BaseOperator(name) { 34 InitIOName({"input_x"}, {"output_y"}); 35 } 36 /// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.L2Normalize for the inputs. 37 void Init(const std::vector<int64_t> &axis, const float epsilon = 1e-4); 38 /// \brief Set axis. 39 void set_axis(const std::vector<int64_t> &axis); 40 /// \brief Set epsilon. 41 void set_epsilon(const float epsilon); 42 /// \brief Get axis. 43 /// 44 /// \return axis. 45 std::vector<int64_t> get_axis() const; 46 /// \brief Get epsilon. 47 /// 48 /// \return epsilon. 49 float get_epsilon() const; 50 }; 51 } // namespace ops 52 } // namespace mindspore 53 #endif // MINDSPORE_CORE_OPS_L2_NORMALIZE_H_ 54