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Diffstat (limited to 'runtime/neurun/core/src/exec/interp/ExecEnv.h')
| -rw-r--r-- | runtime/neurun/core/src/exec/interp/ExecEnv.h | 165 |
1 files changed, 0 insertions, 165 deletions
diff --git a/runtime/neurun/core/src/exec/interp/ExecEnv.h b/runtime/neurun/core/src/exec/interp/ExecEnv.h deleted file mode 100644 index 0f7d45e2a..000000000 --- a/runtime/neurun/core/src/exec/interp/ExecEnv.h +++ /dev/null @@ -1,165 +0,0 @@ -/* - * 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 __NEURUN_EXEC_INTERP_EXEC_ENV_H_ -#define __NEURUN_EXEC_INTERP_EXEC_ENV_H_ - -#include <unordered_set> - -#include "ir/Graph.h" -#include "Tensor.h" - -namespace neurun -{ -namespace exec -{ -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 exec -} // namespace neurun - -#endif // __NEURUN_EXEC_INTERP_EXEC_ENV_H_ |