1 /** 2 * Copyright 2019 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_FRONTEND_PARALLEL_OPS_INFO_LOSS_INFO_H_ 18 #define MINDSPORE_CCSRC_FRONTEND_PARALLEL_OPS_INFO_LOSS_INFO_H_ 19 20 #include <memory> 21 #include <string> 22 #include <unordered_map> 23 #include <vector> 24 25 #include "ir/value.h" 26 #include "frontend/parallel/ops_info/activation_info.h" 27 #include "frontend/parallel/ops_info/operator_info.h" 28 #include "frontend/parallel/strategy.h" 29 30 namespace mindspore { 31 namespace parallel { 32 // infer shape: 33 // input_0 : [a, b], input_1 : [a, b] 34 // output_0 : [a], output_1: [a, b] 35 class SoftmaxCrossEntropyWithLogitsInfo : public OperatorInfo { 36 public: SoftmaxCrossEntropyWithLogitsInfo(const std::string & name,const Shapes & inputs_shape,const Shapes & outputs_shape,const PrimitiveAttrs & attrs)37 SoftmaxCrossEntropyWithLogitsInfo(const std::string &name, const Shapes &inputs_shape, const Shapes &outputs_shape, 38 const PrimitiveAttrs &attrs) 39 : OperatorInfo(name, inputs_shape, outputs_shape, attrs, std::make_shared<SoftmaxCrossEntropyWithLogitsCost>()) {} 40 ~SoftmaxCrossEntropyWithLogitsInfo() override = default; 41 Status Init(const StrategyPtr &strategy) override; 42 Status InitForCostModel(const StrategyPtr &strategy) override; 43 44 std::vector<StrategyPtr> GenerateOpStrategies(int64_t stage_id) override; 45 Status SetCostUnderStrategy(const StrategyPtr &strategy) override; 46 void ReComputeBatchSplitFlagList() override; 47 48 protected: 49 Status CheckStrategy(const StrategyPtr &strategy) override; 50 Status GetAttrs() override; InferForwardCommunication()51 Status InferForwardCommunication() override { return SUCCESS; } 52 Status InferTensorMap() override; 53 Status InferDevMatrixShape() override; 54 // There are two outputs for SoftmaxCrossEntropyWithLogits, and outputs[1] is used for grad and overload 55 // the InferAsLossDivisor. 56 Status InferAsLossDivisor() override; 57 58 private: 59 int64_t axis_ = -1; // default -1 60 }; 61 } // namespace parallel 62 } // namespace mindspore 63 64 #endif // MINDSPORE_CCSRC_FRONTEND_PARALLEL_OPS_INFO_LOSS_INFO_H_ 65