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_BACKEND_OPTIMIZER_GRAPH_KERNEL_COMPACT_TENSOR_LIVENESS_H_ 17 #define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_COMPACT_TENSOR_LIVENESS_H_ 18 19 #include "include/backend/optimizer/pass.h" 20 21 namespace mindspore::graphkernel { 22 /** 23 * @brief For memory efficiency, insert UpdateState for op with no cnode/param inputs to avoid early launching 24 * @example 25 * main(x, y){ 26 * %1 = Op1(x, y) 27 * %2 = Op2() 28 * %3 = Op3(%1, %2) 29 * return %3 30 * } 31 * ---------------> 32 * main(x, y){ 33 * %1 = Op1(x, y) 34 * %2 = UpdateState(U, %1) 35 * %3 = Op2(%2) 36 * %4 = Op3(%1, %3) 37 * return %4 38 * } 39 * ------------------ 40 * Here, Op2 has no cnode/param inputs and will be launched early, memory space of %2 will be taken up early and only 41 * be released after execution of Op3. By insertion of UpdateState, memory space of %2 will be created right before 42 * execution of Op3. 43 */ 44 class CompactTensorLiveness : public opt::Pass { 45 public: CompactTensorLiveness()46 CompactTensorLiveness() : Pass("compact_tensor_liveness") {} 47 ~CompactTensorLiveness() override = default; 48 bool Run(const FuncGraphPtr &func_graph) override; 49 }; 50 } // namespace mindspore::graphkernel 51 #endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_COMPACT_TENSOR_LIVENESS_H_ 52