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_MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_EXECUTOR_EXECUTOR_H_ 18 #define MINDSPORE_MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_EXECUTOR_EXECUTOR_H_ 19 20 #include <memory> 21 #include <string> 22 #include <vector> 23 #include <map> 24 #include "ir/anf.h" 25 #include "ir/tensor.h" 26 #include "abstract/primitive_infer_map.h" 27 28 namespace mindspore { 29 namespace device { 30 class DynamicKernel { 31 public: DynamicKernel(void * stream,const CNodePtr & cnode_ptr)32 DynamicKernel(void *stream, const CNodePtr &cnode_ptr) 33 : stream_(stream), 34 cnode_ptr_(cnode_ptr), 35 is_dynamic_shape_(false), 36 is_input_dynamic_shape_(false), 37 is_output_dynamic_shape_(false) {} 38 virtual ~DynamicKernel() = default; 39 virtual void InferShape(); 40 virtual void UpdateArgs() = 0; 41 virtual void Execute() = 0; 42 virtual void PostExecute() = 0; is_dynamic_shape()43 [[nodiscard]] bool is_dynamic_shape() const { return is_dynamic_shape_; } have_depends()44 [[nodiscard]] bool have_depends() const { return !depend_list_.empty(); } 45 virtual void Initialize(); 46 [[nodiscard]] int GetKernelType() const; 47 48 protected: 49 void RebuildDependTensor(); 50 void InferShapeRecursive(); 51 static void InferShapeForNopNode(AnfNodePtr *input_node); 52 53 void *stream_; 54 const CNodeWeakPtr cnode_ptr_; 55 bool is_dynamic_shape_; 56 bool is_input_dynamic_shape_; 57 bool is_output_dynamic_shape_; 58 std::vector<uint32_t> depend_list_; 59 std::map<uint32_t, tensor::TensorPtr> depend_tensor_map_; 60 }; 61 using DynamicKernelPtr = std::shared_ptr<DynamicKernel>; 62 } // namespace device 63 } // namespace mindspore 64 #endif // MINDSPORE_MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_EXECUTOR_EXECUTOR_H_ 65