1 /** 2 * Copyright 2020 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_LITE_SRC_RUNTIME_MINDRT_EXECUTOR_H_ 18 #define MINDSPORE_LITE_SRC_RUNTIME_MINDRT_EXECUTOR_H_ 19 20 #include <memory> 21 #include <vector> 22 #include <unordered_map> 23 #include <set> 24 #include <utility> 25 #include "src/litert/inner_allocator.h" 26 #include "src/executor/kernel_exec.h" 27 #include "src/litert/lite_mindrt.h" 28 #include "src/litert/executor.h" 29 #include "mindrt/src/actor/actormgr.h" 30 31 namespace mindspore::lite { 32 class MindrtExecutor : public Executor { 33 public: MindrtExecutor(std::unordered_map<Tensor *,Tensor * > * output_map,std::unordered_map<Tensor *,Tensor * > * input_map)34 explicit MindrtExecutor(std::unordered_map<Tensor *, Tensor *> *output_map, 35 std::unordered_map<Tensor *, Tensor *> *input_map) 36 : isolate_output_map_(output_map), isolate_input_map_(input_map) {} ~MindrtExecutor()37 virtual ~MindrtExecutor() { MindrtTerminate(op_actors_, actor_mgr_); } 38 39 int Prepare(const std::vector<kernel::KernelExec *> &kernels, const std::vector<Tensor *> &inputs, 40 const std::vector<Tensor *> &outputs, lite::InnerContext *ctx) override; 41 42 int Run(const std::vector<Tensor *> &in_tensors, const std::vector<Tensor *> &out_tensors, 43 const std::vector<kernel::KernelExec *> &kernels, const KernelCallBack &before = nullptr, 44 const KernelCallBack &after = nullptr) override; 45 46 int Resize(const std::vector<mindspore::lite::Tensor *> &inputs, const std::vector<std::vector<int>> &dims) override; 47 48 private: 49 int TransferGraphOutput(); 50 void FreeOutputTensor(); 51 std::unordered_map<void *, std::set<std::pair<AID, size_t>>> BuildReceiverMap(); 52 53 protected: 54 int PrepareGraphInput(const std::vector<kernel::KernelExec *> &kernels, const std::vector<Tensor *> &inputs); 55 int PrepareGraphOutput(const std::vector<kernel::KernelExec *> &kernels, const std::vector<Tensor *> &outputs); 56 int PreInitActors(); 57 int LinkActors(); 58 int PostInitActors(); 59 std::vector<std::shared_ptr<LiteOpActor>> op_actors_; 60 std::vector<OpDataPtr<Tensor>> input_data_; 61 std::vector<OpDataPtr<Tensor>> output_data_; 62 std::unordered_map<Tensor *, Tensor *> *isolate_output_map_; 63 std::unordered_map<Tensor *, Tensor *> *isolate_input_map_; 64 std::shared_ptr<ActorMgr> actor_mgr_; 65 }; 66 67 } // namespace mindspore::lite 68 #endif 69