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/*
* Copyright (c) 2022 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.
*/
#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
#ifndef ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_IWORKLOAD_H
#define ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_IWORKLOAD_H
#include "arm_compute/core/Error.h"
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/experimental/Types.h"
#include "arm_compute/core/experimental/DependencyGraph.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
/** Describes when a Unit Workload is run.
*
*/
struct UnitWorkloadStage
{
enum class Stage
{
Prepare, /**< Only run once at the beginning. */
Run, /**< Run every time after the first time. */
};
Stage stage;
friend bool operator==(const UnitWorkloadStage &stage0, const UnitWorkloadStage &stage1)
{
return stage0.stage == stage1.stage;
}
};
/** Type of memory used by a Workload Tensor
*
*/
enum class MemoryType
{
Core = 0, /**< Core memory used by the Workload Tensor, e.g. for argument tensors */
Auxiliary = 1, /**< Auxiliary memory required by the Workload Tensor, e.g. for temporary tensors */
};
using AuxMemoryLifetime = MemoryLifetime;
/** Memory Info for a @ref WorkloadTensor of Auxiliary memory type. This communicates to the user 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)
{
}
AuxMemoryInfo(AuxMemoryLifetime lifetime, size_t size, size_t alignment = 0) noexcept
: lifetime(lifetime),
size(size),
alignment(alignment)
{
}
friend bool operator==(const AuxMemoryInfo &info0, const AuxMemoryInfo &info1)
{
return info0.lifetime == info1.lifetime && info0.size == info1.size && info0.alignment == info1.alignment;
}
AuxMemoryLifetime lifetime{ AuxMemoryLifetime::Temporary }; /**< Memory lifetime*/
size_t size{ 0 }; /**< Total memory size in bytes */
size_t alignment{ 64 }; /**< Memory alignment in bytes */
};
/** A descriptor for IWorkload Tensors.
*/
struct WorkloadTensor
{
using Id = DependencyGraph::Id;
Id id{}; /**< Id of the workload tensor */
ITensorInfo *info{}; /**< TensorInfo associated with the workload tensor */
MemoryType memory_type{}; /**< Memory type */
AuxMemoryInfo memory_info{}; /**< Auxiliary memory information. This can be ignored if the memory type is Core */
};
/** The basic atomic unit in an @ref IWorkload. It contains exactly one kernel to run.
*
*/
struct UnitWorkload
{
using Id = DependencyGraph::Id;
Id id{}; /**< Id of the unit workload */
UnitWorkloadStage stage{}; /**< Stage */
};
/** Run-time-agnostic, platform-specific graph that describes everything required to run a workload
* It can be configured into an Arm Compute Library runtime, integrated into the runtime of another framework, or integrated into the compilation flow
*/
struct IWorkload
{
using UnitWorkId = UnitWorkload::Id;
using Tid = WorkloadTensor::Id;
IWorkload() = default;
virtual ~IWorkload() = default;
DependencyGraph graph{}; /**< Dependency graph of the workload tensors and the unit workloads */
};
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif //ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_IWORKLOAD_H
#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */
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