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/*
* Copyright (c) 2022-2024 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 ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUKERNELARGUMENT_H
#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUKERNELARGUMENT_H
#include "arm_compute/core/TensorInfo.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
/** Describe how the tensor runtime memory can be accessed
*
* Please see documentation under @ref GpuKernelArgumentBinding
*/
enum class TensorStorageType
{
Unknown,
ClBufferUint8Ptr,
ClImage2dReadOnly,
ClImage2dWriteOnly,
};
/** Describe additional runtime information about the tensor
*
* Please see documentation under @ref GpuKernelArgumentBinding
*/
enum class TensorComponentType
{
Unknown,
OffsetFirstElement,
Stride0,
Stride1,
Stride2,
Stride3,
Stride4,
Dim0,
Dim1,
Dim2,
Dim3,
Dim4,
Dim1xDim2,
Dim2xDim3,
Dim1xDim2xDim3,
};
/** Describe how to extract information from a runtime Gpu tensor, and set it as an argument to a gpu kernel at runtime
*
* A kernel argument is just an argument to the gpu kernel as shown in the argument list below. This contrasts with a "workload argument" which is a tensor (@ref GpuWorkloadArgument)
* void kernel(arg0, arg1, ... argN)
*
* In a kernel generated using dynamic fusion (@ref GpuKernelSourceCode), every kernel argument describes part of a tensor.
* A tensor is described as: **storages** followed by **components**
*
* A storage (@ref TensorStorageType) describes how the tensor runtime memory can be accessed (e.g. via a global uint8 pointer to a CL buffer)
* A component (@ref TensorComponentType) describes additional runtime information about the tensor (e.g. the dimensions of the tensor)
*
* The arguments are arranged in the order of use in the generated kernel code:
*
* arg0 , arg1 , arg2 , ..., , argN
* storage, component0, component1, ..., componentX, storage, component0, component1, ..., componentY
* | tensor0 | tensor1 |
*
* An example argument list:
*
* void kernel(
* image2d_t t0_image, // TensorStorageType::ClImage2dReadOnly
* uint8_t* t0_ptr, // TensorStorageType::ClBufferUint8Ptr
* uint t0_dim0, // TensorComponentType::Dim0
* uint t0_stride1, // TensorComponentType::Stride1
* image2d_t t1_ptr, // TensorStorageType::ClImage2dReadOnly
* uint t1_dim1xdim2, // TensorComponentType::Dim1xDim2
* uint t1_stride1, // TensorComponentType::Stride1
* uint t1_stride2, // TensorComponentType:Stride2
* )
*
*/
class GpuKernelArgumentBinding
{
public:
enum class Type : int32_t
{
TensorStorage, /** @ref TensorStorageType */
TensorComponent /** @ref TensorComponentType */
};
GpuKernelArgumentBinding(ITensorInfo::Id id, TensorStorageType storage)
: _type{Type::TensorStorage}, _id{id}, _value{}
{
_value.tensor_storage_type = storage;
}
GpuKernelArgumentBinding(ITensorInfo::Id id, TensorComponentType component)
: _type{Type::TensorComponent}, _id{id}, _value{}
{
_value.tensor_component_type = component;
}
/** Storage type of the tensor
*/
TensorStorageType tensor_storage_type() const
{
ARM_COMPUTE_ERROR_ON(_type != Type::TensorStorage);
return _value.tensor_storage_type;
}
/** Component of the tensor
*/
TensorComponentType tensor_component_type() const
{
ARM_COMPUTE_ERROR_ON(_type != Type::TensorComponent);
return _value.tensor_component_type;
}
/** Id of the tensor this kernel argument belongs to
*/
ITensorInfo::Id id() const
{
return _id;
}
/** Type of the kernel argument
*/
Type type() const
{
return _type;
}
private:
Type _type;
ITensorInfo::Id _id;
union Value
{
TensorStorageType tensor_storage_type;
TensorComponentType tensor_component_type;
};
Value _value;
};
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif // ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_GPUKERNELARGUMENT_H
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