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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 __ONERT_BACKEND_CPU_TENSOR_MANAGER_H__
#define __ONERT_BACKEND_CPU_TENSOR_MANAGER_H__
#include "MemoryManager.h"
#include "operand/Tensor.h"
#include <backend/ITensorManager.h>
#include <ir/OperandIndexMap.h>
#include <ir/OperandInfo.h>
namespace onert
{
namespace backend
{
namespace cpu
{
class TensorManager : public backend::ITensorManager
{
public:
TensorManager();
virtual ~TensorManager() = default;
void allocateConsts(void);
void allocateNonconsts(void);
void deallocateConsts(void);
void deallocateNonconsts(void);
void buildTensor(const ir::OperandIndex &ind, const ir::OperandInfo &tensor_info, bool as_const);
void claimPlan(const ir::OperandIndex &ind, uint32_t size);
void releasePlan(const ir::OperandIndex &ind);
std::shared_ptr<operand::Tensor> at(const ir::OperandIndex &ind);
void iterate(const std::function<void(const ir::OperandIndex &)> &fn);
private:
std::unique_ptr<cpu_common::DynamicMemoryManager> _const_mgr;
std::unique_ptr<cpu_common::MemoryManager> _nonconst_mgr;
ir::OperandIndexMap<std::shared_ptr<operand::Tensor>> _tensors;
ir::OperandIndexMap<bool> _as_constants;
};
} // namespace cpu
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_CPU_TENSOR_MANAGER_H__
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