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_SQUEEZE_H_ 18 #define MINDSPORE_CORE_OPS_SQUEEZE_H_ 19 20 #include <algorithm> 21 #include <map> 22 #include <memory> 23 #include <string> 24 #include <vector> 25 26 #include "mindapi/base/types.h" 27 #include "ops/base_operator.h" 28 29 namespace mindspore { 30 namespace ops { 31 constexpr auto kNameSqueeze = "Squeeze"; 32 /// \brief Returns a tensor with the same data type but dimensions of 1 are removed based on axis. 33 /// Refer to Python API @ref mindspore.ops.Squeeze for more details. 34 class MIND_API Squeeze : public BaseOperator { 35 public: 36 MIND_API_BASE_MEMBER(Squeeze); 37 /// \brief Constructor. Squeeze()38 Squeeze() : BaseOperator(kNameSqueeze) { InitIOName({"x"}, {"output"}); } 39 /// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.Squeeze for the inputs. 40 void Init(const std::vector<int64_t> &axis = {}); 41 /// \brief Set axis. 42 void set_axis(const std::vector<int64_t> &axis); 43 /// \brief Get axis. 44 /// 45 /// \return axis. 46 std::vector<int64_t> get_axis() const; 47 }; 48 49 MIND_API abstract::AbstractBasePtr SqueezeInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 50 const std::vector<abstract::AbstractBasePtr> &input_args); 51 } // namespace ops 52 } // namespace mindspore 53 54 #endif // MINDSPORE_CORE_OPS_SQUEEZE_H_ 55