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/*
* Copyright (c) 2022-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_MEMORYDESCRIPTOR
#define ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_MEMORYDESCRIPTOR
#include "arm_compute/core/ITensorInfo.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
/** Type of memory used by a workload tensor
*
* We can classify tensors in 2 dimensions: Topology (where they are in a workload) and Memory allocation:
* Topology:
* Argument tensors: "Outer" tensors exposed to the users as inputs and outputs (arguments)
* Intermediate tensors: "Inner" tensors hidden from the users as links between operators
* Memory allocation:
* Alloc: Tensors that need to be allocated real backing memory
* No-Alloc: Tensors that don't need to be allocated real backing memory
*
* We end up with 3 MemoryType based on the product of these two classifications
* | Argument | Intermediate |
* ---------*----------------*-------------------*
* Alloc | User | Auxiliary |
* ---------*----------------*-------------------*
* No-Alloc * N/A | Virtual |
* ---------*----------------*-------------------*
*/
enum class MemoryType
{
/** Both User and Auxiliary types are of Alloc type. Since they require memory allocation */
User = 0, /**< Memory coming directly from users, e.g. for argument tensors */
Auxiliary =
1, /**< Additional memory required by the workload tensor, e.g. for tensors holding temporary results between kernels */
/** Virtual type is of No-Alloc type. Since it doesn't require memory allocation */
Virtual =
2, /**< Temporary tile which is not allocated as a whole tensor in the memory. It is mainly used at sketch time to link operators; there should be no Virtual tensors at runtime */
};
/** Memory information for tensors with @ref MemoryType::Auxiliary.
* This informs how much additional memory is required for auxiliary tensors
*/
struct AuxMemoryInfo
{
AuxMemoryInfo() = default;
AuxMemoryInfo(size_t size, size_t alignment = 0) noexcept : size(size), alignment(alignment)
{
}
friend bool operator==(const AuxMemoryInfo &info0, const AuxMemoryInfo &info1)
{
return info0.size == info1.size && info0.alignment == info1.alignment;
}
size_t size{0}; /**< Total memory size in bytes */
size_t alignment{0}; /**< Memory alignment in bytes */
};
/** Descriptor of a workload tensor memory */
struct MemoryDescriptor
{
MemoryType memory_type{}; /**< Memory Type*/
AuxMemoryInfo aux_memory_info{}; /**< Auxiliary Tensor Memory Information */
};
/** A map from @ref ITensorInfo to their corresponding @ref MemoryDescriptor */
using MemoryDescriptorMap = std::map<ITensorInfo::Id, MemoryDescriptor>;
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif /* ARM_COMPUTE_DYNAMIC_FUSION_SKETCH_MEMORYDESCRIPTOR */
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