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/*
* 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 "backend/cpu_common/StaticTensorManager.h"
#include <util/logging.h>
namespace onert
{
namespace backend
{
namespace cpu_common
{
StaticTensorManager::StaticTensorManager(const std::shared_ptr<TensorRegistry> ®)
: _const_mgr{new DynamicMemoryManager()}, _nonconst_mgr{new MemoryManager()}, _tensors{reg}
{
// DO NOTHING
}
void StaticTensorManager::allocateConsts(void)
{
for (auto &pair : _tensors->managed_tensors())
{
const auto &ind = pair.first;
auto tensor = pair.second;
if (_as_constants[ind])
{
auto mem_alloc = _const_mgr->allocate(ind, tensor->total_size());
tensor->setBuffer(mem_alloc);
auto buffer = mem_alloc->base();
VERBOSE(CPU_StaticTensorManager) << "CONSTANT TENSOR(#" << ind.value()
<< "): " << static_cast<void *>(buffer)
<< "size : " << tensor->total_size() << std::endl;
}
}
}
void StaticTensorManager::allocateNonconsts(void)
{
_nonconst_mgr->allocate();
for (auto &pair : _tensors->managed_tensors())
{
const auto &ind = pair.first;
auto tensor = pair.second;
if (!_as_constants[ind] && !tensor->is_dynamic())
{
auto *buffer = _nonconst_mgr->getBuffer(ind);
tensor->setBuffer(buffer);
VERBOSE(CPU_StaticTensorManager) << "TENSOR(#" << ind.value()
<< "): " << static_cast<void *>(buffer) << std::endl;
}
}
}
void StaticTensorManager::deallocateConsts(void) { _const_mgr->deallocate(); }
void StaticTensorManager::deallocateNonconsts(void) { _nonconst_mgr->deallocate(); }
void StaticTensorManager::buildTensor(const ir::OperandIndex &ind,
const ir::OperandInfo &tensor_info, ir::Layout backend_layout,
bool as_const)
{
assert(!_tensors->getManagedTensor(ind));
auto tensor = std::make_shared<Tensor>(tensor_info, backend_layout);
_tensors->setManagedTensor(ind, tensor);
_as_constants[ind] = as_const;
}
void StaticTensorManager::claimPlan(const ir::OperandIndex &ind, uint32_t size)
{
assert(_tensors->getManagedTensor(ind));
// This method is called only when a tensor has proper shape
assert(!_tensors->getManagedTensor(ind)->is_dynamic());
if (!_as_constants[ind])
_nonconst_mgr->claimPlan(ind, size);
}
void StaticTensorManager::releasePlan(const ir::OperandIndex &ind)
{
assert(_tensors->getManagedTensor(ind));
// This method is called only when a tensor has proper shape
assert(!_tensors->getManagedTensor(ind)->is_dynamic());
if (!_as_constants[ind])
_nonconst_mgr->releasePlan(ind);
}
void StaticTensorManager::iterate(const std::function<void(const ir::OperandIndex &)> &fn)
{
for (const auto &it : _tensors->managed_tensors())
fn(it.first);
}
} // namespace cpu_common
} // namespace backend
} // namespace onert
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