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_PAD_H_ 18 #define MINDSPORE_CORE_OPS_PAD_H_ 19 #include <map> 20 #include <memory> 21 #include <string> 22 #include <vector> 23 24 #include "mindapi/base/types.h" 25 #include "ops/base_operator.h" 26 27 namespace mindspore { 28 namespace ops { 29 constexpr auto kNamePad = "Pad"; 30 /// \brief Pads the input tensor according to the paddings. Refer to Python API @ref mindspore.ops.Pad for more details. 31 class MIND_API Pad : public BaseOperator { 32 public: 33 MIND_API_BASE_MEMBER(Pad); 34 /// \brief Constructor. Pad()35 Pad() : BaseOperator(kNamePad) { InitIOName({"x"}, {"y"}); } Pad(const std::string k_name)36 explicit Pad(const std::string k_name) : BaseOperator(k_name) { InitIOName({"x"}, {"y"}); } 37 /// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.Pad for the inputs. 38 void Init(const std::vector<std::vector<int64_t>> &paddings); 39 /// \brief Set paddings. 40 void set_paddings(const std::vector<std::vector<int64_t>> &paddings); 41 /// \brief Get paddings. 42 /// 43 /// \return paddings. 44 std::vector<std::vector<int64_t>> get_paddings() const; 45 }; 46 MIND_API abstract::AbstractBasePtr PadInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 47 const std::vector<abstract::AbstractBasePtr> &input_args); 48 } // namespace ops 49 } // namespace mindspore 50 51 #endif // MINDSPORE_CORE_OPS_PAD_H_ 52