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/*
* Copyright (c) 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 ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H
#define ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H
#include "arm_compute/core/CoreTypes.h" // DataType
#include "arm_compute/core/GPUTarget.h"
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/function_info/MatMulInfo.h"
#include "src/core/common/Macros.h"
#include <array>
namespace arm_compute
{
namespace cl_matmul
{
enum class MatMulKernelType
{
/** Native matrix multiplication for FP types */
NATIVE_FP,
/** Native matrix multiplication for quantized types */
NATIVE_QUANTIZED,
/** Native matrix multiplication using MMUL extension for FP types */
NATIVE_MMUL_FP,
/** Native matrix multiplication using MMUL extension for Quantized types */
NATIVE_MMUL_QUANTIZED
};
/** Basic container for the OpenCL MatMul Native variant functions */
template <class T>
class ClMatMulNativeVariantArray
{
public:
/** Alias for Float index */
static constexpr size_t DT_FLOAT = 0;
/** Alias for Quantized type index */
static constexpr size_t DT_QUANTIZED = 1;
/** Constructor
*
* @param[in] func_float Function to call for matmul native float (F32, F16)
* @param[in] func_quantized Function to call for matmul native quantized (QASYMM8, QASYMM8_SIGNED, QSYMM8_PER_CHANNEL)
*
*/
ClMatMulNativeVariantArray(T func_float, T func_quantized) : _configs{func_float, func_quantized}
{
}
/** Method to return the matmul native variant function based on data type
*
* @param[in] data_type Input data type
*
* @return the valid function otherwise it returns nullptr if the data type is not valid
*/
T get_function(DataType data_type)
{
switch (data_type)
{
case DataType::F32:
case DataType::F16:
return _configs.at(DT_FLOAT);
case DataType::QASYMM8:
case DataType::QASYMM8_SIGNED:
case DataType::QSYMM8_PER_CHANNEL:
return _configs.at(DT_QUANTIZED);
default:
return nullptr;
}
}
private:
std::array<T, 2> _configs;
};
/** Basic interface for the matmul native kernel variant
* This is the base class that chooses architecture specific kernel variants.
*/
class IClMatMulNativeKernelVariant
{
public:
/** Constructor
*
* @param[in] arch GPU target
*/
IClMatMulNativeKernelVariant(GPUTarget arch) : _target(arch)
{
}
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClMatMulNativeKernelVariant);
/** Virtual destructor */
virtual ~IClMatMulNativeKernelVariant() = default;
/** This method returns the @ref MatMulKernelType for the given inputs
*
* @param[in] lhs LHS tensor
* @param[in] rhs RHS tensor
* @param[in] info MatMul info
* @param[in] act_info Activation layer info
*/
virtual MatMulKernelType select_kernel(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const MatMulInfo &info,
const ActivationLayerInfo &act_info) = 0;
protected:
GPUTarget _target;
};
} // namespace cl_matmul
} // namespace arm_compute
#endif // ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_ICLMATMULNATIVEKERNELVARIANT_H
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