1 /** 2 * Copyright 2023 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_CCSRC_PLUGIN_DEVICE_ASCEND_OPTIMIZER_GE_CONVERT_CONDITION_INPUT_TO_SCALER_H_ 18 #define MINDSPORE_CCSRC_PLUGIN_DEVICE_ASCEND_OPTIMIZER_GE_CONVERT_CONDITION_INPUT_TO_SCALER_H_ 19 20 #include "include/backend/optimizer/optimizer.h" 21 22 namespace mindspore { 23 namespace opt { 24 class ConvertCondInputToScalar : public PatternProcessPass { 25 public: 26 explicit ConvertCondInputToScalar(bool multigraph = true) 27 : PatternProcessPass("convert_cond_input_to_scalar", multigraph) {} 28 ~ConvertCondInputToScalar() override = default; 29 30 const BaseRef DefinePattern() const override; 31 const AnfNodePtr Process(const FuncGraphPtr &funcGraphPtr, const AnfNodePtr &nodePtr, 32 const EquivPtr &) const override; 33 }; 34 } // namespace opt 35 } // namespace mindspore 36 37 #endif // MINDSPORE_CONVERT_CONDITION_INPUT_TO_SCALER_H 38