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/*
* Copyright (c) 2019-2021 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 "arm_compute/runtime/NEON/functions/NEPReluLayer.h"
#include "arm_compute/core/ITensor.h"
#include "src/cpu/operators/CpuPRelu.h"
namespace arm_compute
{
using OperatorType = cpu::CpuPRelu;
struct NEPReluLayer::Impl
{
const ITensor *src_0{nullptr};
const ITensor *src_1{nullptr};
ITensor *dst{nullptr};
std::unique_ptr<OperatorType> op{nullptr};
};
NEPReluLayer::NEPReluLayer() : _impl(std::make_unique<Impl>())
{
}
NEPReluLayer::NEPReluLayer(NEPReluLayer &&) = default;
NEPReluLayer &NEPReluLayer::operator=(NEPReluLayer &&) = default;
NEPReluLayer::~NEPReluLayer() = default;
void NEPReluLayer::configure(const ITensor *input, const ITensor *alpha, ITensor *output)
{
_impl->src_0 = input;
_impl->src_1 = alpha;
_impl->dst = output;
_impl->op = std::make_unique<OperatorType>();
_impl->op->configure(input->info(), alpha->info(), output->info());
}
void NEPReluLayer::run()
{
ITensorPack pack;
pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
Status NEPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
{
return OperatorType::validate(input, alpha, output);
}
} // namespace arm_compute
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