blob: 09ac08c0a4f740da2c00b9a8334287a944a07f56 [file] [log] [blame]
/*
* Copyright (c) 2018 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.
*/
#include "arm_compute/core/NEON/kernels/assembly/Helpers.h"
#include "NEGEMMInterleavedStrategies.h"
namespace arm_compute
{
namespace
{
template <typename InputType, bool use_dot = false>
BlockSizes calculate_block_sizes_template(const CPUInfo &ci, unsigned int M, unsigned int N, unsigned int K)
{
using strategy = typename Kernel<InputType, use_dot>::strategy;
return calculate_block_sizes<strategy>(ci, M, N, K);
}
} // namespace
const char *get_strategy_name(DataType input_type, bool use_dot)
{
switch(input_type)
{
case DataType::F32:
return Kernel<float>::name;
#ifdef __aarch64__
case DataType::U8:
case DataType::QASYMM8:
if(use_dot)
{
return Kernel<uint8_t, true>::name;
}
else
{
return Kernel<uint8_t, false>::name;
}
case DataType::S8:
if(use_dot)
{
return Kernel<int8_t, true>::name;
}
else
{
return Kernel<int8_t, false>::name;
}
#endif /* __aarch64__ */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
case DataType::F16:
return Kernel<__fp16>::name;
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
default:
ARM_COMPUTE_ERROR("DataType not supported");
break;
}
}
BlockSizes calculate_block_sizes_from_data_type(const CPUInfo &ci, unsigned int M, unsigned int N, unsigned int K, DataType input_type, bool use_dot)
{
switch(input_type)
{
case DataType::F32:
return calculate_block_sizes_template<float>(ci, M, N, K);
#ifdef __aarch64__
case DataType::U8:
case DataType::QASYMM8:
if(use_dot)
{
return calculate_block_sizes_template<uint8_t, true>(ci, M, N, K);
}
else
{
return calculate_block_sizes_template<uint8_t, false>(ci, M, N, K);
}
case DataType::S8:
if(use_dot)
{
return calculate_block_sizes_template<int8_t, true>(ci, M, N, K);
}
else
{
return calculate_block_sizes_template<int8_t, false>(ci, M, N, K);
}
#endif /* __aarch64__ */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
case DataType::F16:
return calculate_block_sizes_template<__fp16>(ci, M, N, K);
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
default:
ARM_COMPUTE_ERROR("DataType not supported");
break;
}
}
} // namespace arm_compute