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Diffstat (limited to 'runtime/onert/core/src/interp/ExecEnv.h')
| -rw-r--r-- | runtime/onert/core/src/interp/ExecEnv.h | 162 |
1 files changed, 162 insertions, 0 deletions
diff --git a/runtime/onert/core/src/interp/ExecEnv.h b/runtime/onert/core/src/interp/ExecEnv.h new file mode 100644 index 000000000..20805f1b3 --- /dev/null +++ b/runtime/onert/core/src/interp/ExecEnv.h @@ -0,0 +1,162 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * @file ExecEnv.h + * @brief This file contains ExecEnv to access interpreter tensor and execution status + */ +#ifndef __ONERT_INTERP_EXEC_ENV_H_ +#define __ONERT_INTERP_EXEC_ENV_H_ + +#include <unordered_set> + +#include "ir/Graph.h" +#include "Tensor.h" + +namespace onert +{ +namespace interp +{ + +/** + * @brief Class to gather interpreter execution environment + * Each interpreter instance own execution environment + */ +class ExecEnv +{ +public: + /** + * @brief Construct a new Exec Env object (deleted) + */ + ExecEnv(void) = delete; + /** + * @brief Construct a new ExecEnv object + * @param[in] graph Graph to execute by interpreter + */ + explicit ExecEnv(const ir::Graph &graph) : _graph(graph) + { + // DO NOTHING + } + +public: + /** + * @brief Return graph to execute + * @return Graph + */ + const ir::Graph &graph(void) const { return _graph; } + /** + * @brief Assign tensor to environment which have allocated or assigned buffer + * @param[in] index Tensor index + * @param[in] tensor Tensor + */ + void assignTensor(const ir::OperandIndex index, std::shared_ptr<ITensor> tensor) + { + assert(tensor->bufferRO() != nullptr); + _tensors.emplace(index, tensor); + } + + /** + * @brief Return tensor pointer in environment + * @param[in] index Tensor index + * @return Tensor pointer + */ + const ITensor *tensorAt(const ir::OperandIndex index) const { return _tensors.at(index).get(); } + + /** + * @brief Check environment contains tensor + * @param[in] index Tensor index + * @return @c true if environment contain tensor, otherwise @c false + */ + bool contains(const ir::OperandIndex index) const + { + return (_tensors.find(index) != _tensors.end()); + } + + /** + * @brief Allocate tensor using operand info + * @param[in] index Tensor index + * @param[in] info Operand info + * @note If already allocated, just return + * @TODO More smart allocation policy + */ + void allocateIfNeeded(const ir::OperandIndex index, const ir::OperandInfo &info) + { + // already allocated, or constant + if (contains(index)) + { + return; + } + + auto tensor = std::make_shared<Tensor>(info); + tensor->setBuffer(std::make_shared<InternalBuffer>(tensor->total_size())); + assignTensor(index, tensor); + _buffers.insert(index); + } + + /** + * @brief Allocate read-only tensor and share data with other tensor + * @param[in] index Tensor index + * @param[in] info Operand info + * @param[in] index_to_share Tensor index that have data to share + */ + void allocateAndShareIfNeeded(const ir::OperandIndex index, const ir::OperandInfo &info, + const ir::OperandIndex index_to_share) + { + if (!contains(index_to_share)) + { + throw std::runtime_error{"Cannot find tensor to share data"}; + } + + // already allocated + if (contains(index)) + { + return; + } + else + { + auto tensor = std::make_shared<ROTensor>(info); + tensor->setData(tensorAt(index_to_share)->shareData()); + assignTensor(index, tensor); + _buffers.insert(index); + } + } + + /** + * @brief Free buffer if allocated by allocateIfNeed + * @param[in] index Tensor index + * @note If allocated by outside, just return + */ + void freeIfAllocated(const ir::OperandIndex index) + { + if (_buffers.find(index) != _buffers.end()) + { + _tensors.at(index)->releaseData(); + } + } + +private: + const ir::Graph &_graph; + // Tensor map to use in interpreter + // It should map tensors that have allocated or assigned buffer pointer + std::unordered_map<ir::OperandIndex, std::shared_ptr<ITensor>> _tensors; + // Tensors allocated by allocateIfNeed (buffer) + std::unordered_set<ir::OperandIndex> _buffers; +}; + +} // namespace interp +} // namespace onert + +#endif // __ONERT_INTERP_EXEC_ENV_H_ |