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Diffstat (limited to 'runtime/neurun/backend/cpu/MemoryManager.cc')
-rw-r--r-- | runtime/neurun/backend/cpu/MemoryManager.cc | 91 |
1 files changed, 0 insertions, 91 deletions
diff --git a/runtime/neurun/backend/cpu/MemoryManager.cc b/runtime/neurun/backend/cpu/MemoryManager.cc deleted file mode 100644 index 926d8fb4c..000000000 --- a/runtime/neurun/backend/cpu/MemoryManager.cc +++ /dev/null @@ -1,91 +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. - */ - -#include "MemoryManager.h" - -#include <cassert> - -#include <MemoryPlannerFactory.h> -#include "util/logging.h" -#include "util/ConfigSource.h" - -namespace neurun -{ -namespace backend -{ -namespace cpu -{ - -MemoryManager::MemoryManager() : _mem_planner{createMemoryPlanner()} -{ - // DO NOTHING -} - -MemoryManager::MemoryManager(const std::string planner_id) - : _mem_planner{createMemoryPlanner(planner_id)} -{ - // DO NOTHING -} - -cpu_common::IMemoryPlanner *MemoryManager::createMemoryPlanner() -{ - auto planner_id = util::getConfigString(util::config::CPU_MEMORY_PLANNER); - return cpu_common::MemoryPlannerFactory::get().create(planner_id); -} - -cpu_common::IMemoryPlanner *MemoryManager::createMemoryPlanner(const std::string planner_id) -{ - return cpu_common::MemoryPlannerFactory::get().create(planner_id); -} - -void MemoryManager::buildTensor(const ir::OperandIndex &ind, const ir::OperandInfo &info) -{ - auto tensor = std::make_shared<operand::Tensor>(info); - _tensors[ind] = tensor; -} - -void MemoryManager::claimPlan(const ir::OperandIndex &ind, uint32_t size) -{ - _mem_planner->claim(ind, size); -} - -void MemoryManager::releasePlan(const ir::OperandIndex &ind) { _mem_planner->release(ind); } - -void MemoryManager::allocate(void) -{ - _mem_alloc = std::make_shared<cpu_common::Allocator>(_mem_planner->capacity()); - assert(_mem_alloc->base()); - - for (auto &mem_plan : _mem_planner->memory_plans()) - { - auto ind = mem_plan.first; - auto mem_blk = mem_plan.second; - - uint8_t *buffer = _mem_alloc->base() + mem_blk.offset; - auto tensor = _tensors[ind]; - tensor->setBuffer(buffer); - - VERBOSE(CPU_MEMORYMANAGER) << "TENSOR(#" << ind.value() << "): " << static_cast<void *>(buffer) - << std::endl; - - // If we do not make tensor here currently, kernel generation would cause segmentation fault. - // See also : Comments in `allocate` method. - } -} - -} // namespace cpu -} // namespace backend -} // namespace neurun |