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_FULL_CONNECTION_FUSION_H_ 18 #define MINDSPORE_CORE_OPS_FULL_CONNECTION_FUSION_H_ 19 #include <map> 20 #include <memory> 21 #include <string> 22 #include <vector> 23 #include "mindapi/base/types.h" 24 #include "ops/base_operator.h" 25 26 namespace mindspore { 27 namespace ops { 28 constexpr auto kNameFullConnection = "FullConnection"; 29 /// \brief FullConnection defined FullConnection operator prototype of lite. 30 class MIND_API FullConnection : public BaseOperator { 31 public: 32 MIND_API_BASE_MEMBER(FullConnection); 33 /// \brief Constructor. FullConnection()34 FullConnection() : BaseOperator(kNameFullConnection) { InitIOName({"x1", "x2", "b"}, {"output"}); } 35 36 /// \brief Method to init the op's attributes. 37 /// 38 /// \param[in] has_bias Define a boolean value to indicate the op has bias or not. 39 /// \param[in] axis Define a axis that the inner product is done along with 40 /// \param[in] use_axis Define a boolean value to indicate the op uses a axis or not. 41 /// \param[in] activation_type Define the activation type. 42 void Init(const bool has_bias, const int64_t axis, const bool use_axis, const ActivationType &activation_type); 43 44 /// \brief Method to set has_axis attribute. 45 /// 46 /// \param[in] has_bias Define a boolean value to indicate the op has bias or not. 47 void set_has_bias(const bool has_bias); 48 49 /// \brief Method to set axis attribute. 50 /// 51 /// \param[in] axis Define a axis the inner product must be along with 52 void set_axis(const int64_t axis); 53 54 /// \brief Method to set use_axis attribute. 55 /// 56 /// \param[in] use_axis Define a boolean value to indicate the op uses a axis or not. 57 void set_use_axis(const bool use_axis); 58 59 /// \brief Method to set activation type. 60 /// 61 /// \param[in] activation_type Define the activation type. 62 void set_activation_type(const ActivationType &activation_type); 63 64 /// \brief Method to get has_bias attribute. 65 /// 66 /// \return a boolean value 67 bool get_has_bias() const; 68 69 /// \brief Method to get axis attribute. 70 /// 71 /// \return axis 72 int64_t get_axis() const; 73 74 /// \brief Method to get use_axis attribute. 75 /// 76 /// \return a boolean value. 77 bool get_use_axis() const; 78 79 /// \brief Method to get activation type. 80 /// 81 /// \return activation type. 82 ActivationType get_activation_type() const; 83 }; 84 abstract::AbstractBasePtr FullConnectionInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 85 const std::vector<abstract::AbstractBasePtr> &input_args); 86 } // namespace ops 87 } // namespace mindspore 88 89 #endif // MINDSPORE_CORE_OPS_FULL_CONNECTION_FUSION_H_ 90