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Diffstat (limited to 'runtime/neurun/backend/srcn/MemoryManager.cc')
-rw-r--r-- | runtime/neurun/backend/srcn/MemoryManager.cc | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/runtime/neurun/backend/srcn/MemoryManager.cc b/runtime/neurun/backend/srcn/MemoryManager.cc new file mode 100644 index 000000000..aa07ab168 --- /dev/null +++ b/runtime/neurun/backend/srcn/MemoryManager.cc @@ -0,0 +1,92 @@ +/* + * 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 srcn +{ + +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, + ir::Layout layout) +{ + auto tensor = std::make_shared<operand::Tensor>(info, layout); + _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 srcn +} // namespace backend +} // namespace neurun |