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/*
* Copyright (c) 2018-2021 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 "src/core/cpu/kernels/CpuElementwiseUnaryKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Validate.h"
#include "src/core/CPP/Validate.h"
#include "src/core/common/Registrars.h"
#include "src/core/cpu/kernels/elementwise/neon/elementwise_unary_list.h"
#include "src/core/cpu/kernels/elementwise/sve/elementwise_unary_list.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/ToolchainSupport.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
namespace
{
using ElementwiseUnarySelector = std::add_pointer<bool(DataType)>::type;
struct ElementwiseUnaryKernel
{
const char *name;
const ElementwiseUnarySelector is_selected;
CpuElementwiseUnaryKernel::ElementwiseUnaryUkernelPtr ukernel;
};
static const ElementwiseUnaryKernel available_kernels[] =
{
#if defined(__ARM_FEATURE_SVE)
{
"fp32_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::F32; },
REGISTER_FP32_SVE(arm_compute::cpu::elementwise_sve_op<float>),
},
{
"fp16_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::F16; },
REGISTER_FP16_SVE(arm_compute::cpu::elementwise_sve_op<__fp16>),
},
{
"s32_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::S32; },
REGISTER_INTEGER_SVE(arm_compute::cpu::elementwise_sve_op<int32_t>),
},
#endif // defined(__ARM_FEATURE_SVE)
{
"fp32_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::F32; },
REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<float>),
},
#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
{
"fp16_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::F16; },
REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<__fp16>),
},
#endif // defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
{
"s32_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::S32; },
REGISTER_INTEGER_NEON(arm_compute::cpu::elementwise_op<int32_t>),
},
};
const ElementwiseUnaryKernel *get_implementation(DataType dt)
{
for(const auto &uk : available_kernels)
{
if(uk.is_selected(dt))
{
return &uk;
}
}
return nullptr;
}
} // namespace
CpuElementwiseUnaryKernel::CpuElementwiseUnaryKernel()
: _op()
{
}
void CpuElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensorInfo &input, ITensorInfo &output)
{
ARM_COMPUTE_ERROR_THROW_ON(validate(op, input, output));
// Configure kernel window
const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(input);
const TensorShape &out_shape = broadcast_pair.first;
const ValidRegion &valid_region = broadcast_pair.second;
// Auto initialize output if not initialized
auto_init_if_empty(output, out_shape, 1, input.data_type());
Window win = calculate_max_window(valid_region);
_op = op;
ICpuKernel::configure(win);
}
Status CpuElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo &input, const ITensorInfo &output)
{
ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&input);
const auto *uk = get_implementation(input.data_type());
ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
switch(op)
{
case ElementWiseUnary::EXP:
case ElementWiseUnary::RSQRT:
case ElementWiseUnary::LOG:
case ElementWiseUnary::ROUND:
case ElementWiseUnary::SIN:
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input, 1, DataType::F16, DataType::F32);
break;
case ElementWiseUnary::NEG:
case ElementWiseUnary::ABS:
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input, 1, DataType::F16, DataType::F32, DataType::S32);
break;
default:
ARM_COMPUTE_ERROR("ElementWiseUnary operation not supported");
}
// Validate in case of configured output
if(output.total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&input, &output);
}
return Status{};
}
void CpuElementwiseUnaryKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
auto dst = tensors.get_tensor(TensorType::ACL_DST);
auto func = get_implementation(src->info()->data_type())->ukernel;
ARM_COMPUTE_ERROR_ON(func == nullptr);
func(src, dst, window, _op);
}
} // namespace kernels
} // namespace cpu
} // namespace arm_compute