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/*
* Copyright (c) 2018 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.
*/
/**
* @file MemoryPlanner.h
* @brief This file contains Memory Planning related classes
*/
#ifndef __NEURUN_BACKEND_CPU_MEMORY_PLANNER_H__
#define __NEURUN_BACKEND_CPU_MEMORY_PLANNER_H__
#include <map>
#include <cpp14/memory.h>
#include "model/OperandIndexMap.h"
namespace neurun
{
namespace backend
{
namespace cpu
{
/**
* @brief Structure to have memory offset and size
*/
struct Block
{
uint32_t offset;
size_t size;
};
/**
* @brief Class to allocate memory
*/
class Allocator
{
public:
Allocator(uint32_t capacity);
/**
* @brief Get memory base pointer
* @return base pointer
*/
uint8_t *base() const { return _base.get(); }
void release() { _base.reset(); }
private:
std::unique_ptr<uint8_t[]> _base;
};
/**
* @brief Interface to plan memory
*/
struct IMemoryPlanner
{
using MemoryPlans = model::OperandIndexMap<Block>;
/**
* @brief Claim memory for operand
* @param[in] index The operand index
* @param[in] size The size of the memory
*/
virtual void claim(const model::OperandIndex &, size_t) = 0;
/**
* @brief Release memory for operand
* @param[in] index The operand index
*/
virtual void release(const model::OperandIndex &) = 0;
/**
* @brief Get capacity for memory planning
* @return The value of capacity
*/
virtual uint32_t capacity() = 0;
/**
* @brief Get MemoryPlans
* @return MemoryPlans
*/
virtual MemoryPlans &memory_plans() = 0;
virtual ~IMemoryPlanner() = default;
};
/**
* @brief Class to plan memory by bump way
*/
class BumpPlanner : public IMemoryPlanner
{
public:
/**
* @brief Claim memory for operand by bump way
* @param[in] index The operand index
* @param[in] size The size of the memory
*/
void claim(const model::OperandIndex &, size_t) override;
/**
* @brief Release memory for operand by bump way
* @param[in] index The operand index
*/
void release(const model::OperandIndex &) override;
/**
* @brief Get capacity for memory planning
* @return The value of capacity
*/
uint32_t capacity() override { return _capacity; }
/**
* @brief Get MemoryPlans
* @return MemoryPlans
*/
MemoryPlans &memory_plans() override { return _mem_plans; }
private:
uint32_t _capacity = 0;
MemoryPlans _mem_plans;
};
/**
* @brief Class to plan memory by firstfit way
*/
class FirstFitPlanner : public IMemoryPlanner
{
public:
/**
* @brief Claim memory for operand by firstfit way
* @param[in] index The operand index
* @param[in] size The size of the memory
*/
void claim(const model::OperandIndex &, size_t) override;
/**
* @brief Release memory for operand by firstfit way
* @param[in] index The operand index
*/
void release(const model::OperandIndex &) override;
/**
* @brief Get capacity for memory planning
* @return The value of capacity
*/
uint32_t capacity() override { return _capacity; }
/**
* @brief Get MemoryPlans
* @return MemoryPlans
*/
MemoryPlans &memory_plans() override { return _mem_plans; }
private:
uint32_t _capacity = 0;
MemoryPlans _mem_plans;
// Use std::map because claim() assumes that _claim_table is sorted by uint32_t(base_offset)
std::map<uint32_t, model::OperandIndex> _claim_table;
};
} // namespace cpu
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_CPU_MEMORY_PLANNER_H__
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