xref: /aosp_15_r20/external/ComputeLibrary/src/cpu/kernels/CpuElementwiseUnaryKernel.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)

/*
 * Copyright (c) 2018-2022 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.
 */
#include "src/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/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/cpu/kernels/elementwise_unary/list.h"
#include "support/ToolchainSupport.h"

namespace arm_compute
{
namespace cpu
{
namespace kernels
{
namespace
{
static const std::vector<CpuElementwiseUnaryKernel::ElementwiseUnaryKernel> available_kernels =
{
    {
        "sve_fp32_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return (data.dt == DataType::F32 && data.isa.sve);
        },
        REGISTER_FP32_SVE(sve_fp32_elementwise_unary)
    },
    {
        "sve_fp16_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return (data.dt == DataType::F16 && data.isa.sve && data.isa.fp16);
        },
        REGISTER_FP16_SVE(sve_fp16_elementwise_unary),
    },
    {
        "sve_s32_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return (data.dt == DataType::S32 && data.isa.sve);
        },
        REGISTER_INTEGER_SVE(sve_s32_elementwise_unary),
    },
    {
        "neon_fp32_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return data.dt == DataType::F32;
        },
        REGISTER_FP32_NEON(neon_fp32_elementwise_unary),
    },
    {
        "neon_fp16_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return data.dt == DataType::F16 && data.isa.fp16;
        },
        REGISTER_FP16_NEON(neon_fp16_elementwise_unary),
    },
    {
        "neon_s32_elementwise_unary",
        [](const DataTypeISASelectorData & data)
        {
            return data.dt == DataType::S32;
        },
        REGISTER_INTEGER_NEON(neon_s32_elementwise_unary),
    },
};

} // namespace

void CpuElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensorInfo &src, ITensorInfo &dst)
{
    ARM_COMPUTE_ERROR_THROW_ON(validate(op, src, dst));
    const auto uk = CpuElementwiseUnaryKernel::get_implementation(DataTypeISASelectorData{ src.data_type(), CPUInfo::get().get_isa() });
    ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);

    _op         = op;
    _run_method = uk->ukernel;
    _name       = std::string("CpuElementwiseUnaryKernel").append("/").append(uk->name);

    // If input shape is dynamic, expect a configured window and dst at run-time.
    if(src.is_dynamic())
    {
        return;
    }

    auto shape_and_window = compute_output_shape_and_window(src.tensor_shape());
    auto_init_if_empty(dst, shape_and_window.first, 1, src.data_type());
    ICpuKernel::configure(shape_and_window.second);
}

Status CpuElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo &src, const ITensorInfo &dst)
{
    ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&src);

    const auto *uk = CpuElementwiseUnaryKernel::get_implementation(DataTypeISASelectorData{ src.data_type(), CPUInfo::get().get_isa() });

    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(&src, 1, DataType::F16, DataType::F32);
            break;
        case ElementWiseUnary::NEG:
        case ElementWiseUnary::ABS:
            ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32, DataType::S32);
            break;
        default:
            ARM_COMPUTE_ERROR("ElementWiseUnary operation not supported");
    }
    // Validate in case of configured dst
    if(dst.total_size() > 0)
    {
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src, &dst);
    }

    return Status{};
}

void CpuElementwiseUnaryKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
{
    ARM_COMPUTE_UNUSED(info);

    auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
    auto dst = tensors.get_tensor(TensorType::ACL_DST);

    _run_method(src, dst, window, _op);
}

const char *CpuElementwiseUnaryKernel::name() const
{
    return _name.c_str();
}

const std::vector<CpuElementwiseUnaryKernel::ElementwiseUnaryKernel> &CpuElementwiseUnaryKernel::get_available_kernels()
{
    return available_kernels;
}

} // namespace kernels
} // namespace cpu
} // namespace arm_compute