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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/CL/functions/CLPReluLayer.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "src/gpu/cl/IClKernel.h"
#include "src/gpu/cl/operators/ClPRelu.h"
namespace arm_compute
{
using OperatorType = opencl::ClPRelu;
struct CLPReluLayer::Impl
{
const ICLTensor *src_0{nullptr};
const ICLTensor *src_1{nullptr};
ICLTensor *dst{nullptr};
std::unique_ptr<OperatorType> op{nullptr};
};
CLPReluLayer::CLPReluLayer() : _impl(std::make_unique<Impl>())
{
}
CLPReluLayer::CLPReluLayer(CLPReluLayer &&) = default;
CLPReluLayer &CLPReluLayer::operator=(CLPReluLayer &&) = default;
CLPReluLayer::~CLPReluLayer() = default;
void CLPReluLayer::configure(ICLTensor *input, ICLTensor *alpha, ICLTensor *output)
{
configure(CLKernelLibrary::get().get_compile_context(), input, alpha, output);
}
void CLPReluLayer::configure(const CLCompileContext &compile_context,
ICLTensor *input,
ICLTensor *alpha,
ICLTensor *output)
{
_impl->src_0 = input;
_impl->src_1 = alpha;
_impl->dst = output;
_impl->op = std::make_unique<OperatorType>();
_impl->op->configure(compile_context, input->info(), alpha->info(),
(output == nullptr ? input->info() : output->info()));
}
Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
{
return OperatorType::validate(input, alpha, output);
}
void CLPReluLayer::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);
}
} // namespace arm_compute
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