1 /** 2 * Copyright 2022 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 #ifndef MINDSPORE_CCSRC_PLUGIN_DEVICE_CPU_OPTIMIZER_SOFTMAX_GRAD_FUSION_H_ 17 #define MINDSPORE_CCSRC_PLUGIN_DEVICE_CPU_OPTIMIZER_SOFTMAX_GRAD_FUSION_H_ 18 19 #include <memory> 20 #include "include/backend/optimizer/optimizer.h" 21 #include "mindspore/core/ops/math_ops.h" 22 23 namespace mindspore { 24 namespace opt { 25 class SoftmaxGradFusionCpu : public PatternProcessPass { 26 public: 27 explicit SoftmaxGradFusionCpu(bool multigraph = true) : PatternProcessPass("softmax_grad_fusion_cpu", multigraph) { 28 reduce_sum_ = std::make_shared<Var>(std::make_shared<Primitive>(prim::kPrimReduceSum->name())); 29 input0_ = std::make_shared<Var>(); 30 input1_ = std::make_shared<Var>(); 31 axis_ = std::make_shared<Var>(); 32 } 33 ~SoftmaxGradFusionCpu() override = default; 34 const BaseRef DefinePattern() const override; 35 const AnfNodePtr Process(const FuncGraphPtr &graph, const AnfNodePtr &node, const EquivPtr &equiv) const override; 36 37 private: 38 VarPtr reduce_sum_; 39 VarPtr input0_; 40 VarPtr input1_; 41 VarPtr axis_; 42 }; 43 } // namespace opt 44 } // namespace mindspore 45 #endif // MINDSPORE_CCSRC_PLUGIN_DEVICE_CPU_OPTIMIZER_SOFTMAX_GRAD_FUSION_H_ 46