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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.
*/
#ifndef SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG
#define SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG
#include "arm_compute/core/GPUTarget.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/Types.h"
#include "src/core/common/Macros.h"
namespace arm_compute
{
namespace cl_direct_conv
{
/** Basic container for the OpenCL direct convolution configuration functions */
template <class T>
class ClDirectConvConfigArray
{
public:
/** Alias for F32 index */
static constexpr size_t DT_F32 = 0;
/** Alias for F16 index */
static constexpr size_t DT_F16 = 1;
/** Alias for Int8 index */
static constexpr size_t DT_INT8 = 2;
/** Constructor
*
* @param[in] func_f32 Function to call for direct convolution F32
* @param[in] func_f16 Function to call for direct convolution F16
* @param[in] func_int8 Function to call for direct convolution Int8 (QASYMM8, QASYMM8_SIGNED, QSYMM8_PER_CHANNEL)
*
*/
ClDirectConvConfigArray(T func_f32, T func_f16, T func_int8) : _configs{func_f32, func_f16, func_int8}
{
}
/** Method to return the direct convolution configuration 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:
return _configs.at(DT_F32);
case DataType::F16:
return _configs.at(DT_F16);
case DataType::QASYMM8:
case DataType::QASYMM8_SIGNED:
case DataType::QSYMM8_PER_CHANNEL:
return _configs.at(DT_INT8);
default:
return nullptr;
}
}
private:
std::array<T, 3> _configs;
};
/** Basic interface for the Direct convolution kernel configuration */
class IClDirectConvKernelConfig
{
public:
/** Constructor
*
* @param[in] arch GPU target
*/
IClDirectConvKernelConfig(GPUTarget arch) : _target(arch)
{
}
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClDirectConvKernelConfig);
/** Virtual destructor */
virtual ~IClDirectConvKernelConfig() = default;
/** This method returns the @ref DirectConvComputeKernelInfo for the given inputs
*
* @param[in] src Source tensor (activation tensor)
* @param[in] wei Weights tensor
* @param[in] conv_info Convolution info
*/
virtual DirectConvComputeKernelInfo
configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) = 0;
protected:
GPUTarget _target;
};
} // namespace cl_direct_conv
} // namespace arm_compute
#endif /* SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG */