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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.
*/
#ifndef __NEURUN_BACKEND_ACL_COMMON_MEMORY_MANAGER_H__
#define __NEURUN_BACKEND_ACL_COMMON_MEMORY_MANAGER_H__
#include <arm_compute/core/Types.h>
#include <arm_compute/runtime/IMemoryManager.h>
#include <cassert>
#include "backend/IMemoryManager.h"
#include "model/OperandIndexMap.h"
#include "Convert.h"
#include "util/logging.h"
namespace neurun
{
namespace backend
{
namespace acl_common
{
template <typename T_ITensor, typename T_Tensor, typename T_SubTensor, typename T_Object>
class AclMemoryManager : public backend::IMemoryManager
{
public:
AclMemoryManager()
{
// DO NOTHING
}
virtual ~AclMemoryManager() = default;
virtual void allocate(void) override
{
for (const auto &tensor_entry : _tensors)
{
auto tensor = tensor_entry.second;
tensor->allocator()->allocate();
}
}
virtual void deallocate(void) override
{
for (const auto &tensor_entry : _tensors)
{
auto tensor = tensor_entry.second;
tensor->allocator()->free();
}
}
virtual void startLifetime(const model::OperandIndex &) { /* DO NOTHING */}
virtual void finishLifetime(const model::OperandIndex &) { /* DO NOTHING */}
void buildTensor(const model::OperandIndex &ind, const ::arm_compute::TensorInfo &info,
size_t rank)
{
auto tensor = std::make_shared<T_Tensor>(info, rank);
_tensors[ind] = tensor;
}
void buildSubtensor(std::shared_ptr<T_ITensor> parent_tensor,
const model::OperandIndex &child_ind, const ::arm_compute::TensorShape &shape,
const ::arm_compute::Coordinates &coordinates, size_t rank,
bool extent_parent)
{
auto subtensor =
std::make_shared<T_SubTensor>(parent_tensor.get(), shape, coordinates, rank, extent_parent);
_subtensors[child_ind] = subtensor;
}
std::shared_ptr<T_Object> wrapTensor(const model::OperandIndex &ind)
{
if (_objects.find(ind) != _objects.end())
{
return _objects.at(ind);
}
else
{
if (_tensors.find(ind) != _tensors.end())
{
return _objects[ind] = std::make_shared<T_Object>(_tensors.at(ind));
}
else
{
return _objects[ind] = std::make_shared<T_Object>(_subtensors.at(ind));
}
}
}
model::OperandIndexMap<std::shared_ptr<T_Tensor>> &tensors(void) { return _tensors; }
model::OperandIndexMap<std::shared_ptr<T_SubTensor>> &subtensors(void) { return _subtensors; }
model::OperandIndexMap<std::shared_ptr<T_Object>> &objects(void) { return _objects; }
private:
model::OperandIndexMap<std::shared_ptr<T_Tensor>> _tensors;
model::OperandIndexMap<std::shared_ptr<T_SubTensor>> _subtensors;
model::OperandIndexMap<std::shared_ptr<T_Object>> _objects;
};
} // namespace acl_common
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_ACL_COMMON_MEMORY_MANAGER_H__
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