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/*
* Copyright (c) 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/runtime/gpu/cl/operators/ClPRelu.h"
#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
namespace arm_compute
{
namespace opencl
{
using KernelType = kernels::ClArithmeticKernel;
void ClPRelu::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *alpha, ITensorInfo *output)
{
auto k = std::make_unique<KernelType>();
k->configure(compile_context, ArithmeticOperation::PRELU, input, alpha, (output == nullptr ? input : output));
_kernel = std::move(k);
}
Status ClPRelu::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
{
return KernelType::validate(ArithmeticOperation::PRELU, input, alpha, (output == nullptr ? input : output));
}
void ClPRelu::run(ITensorPack &tensors)
{
// Output tensor can be given as nullptr for in-place computation.
// In this case, get the input tensor and use it as the output tensor.
if(tensors.get_tensor(TensorType::ACL_DST) == nullptr)
{
auto src_tensor = const_cast<ITensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
ARM_COMPUTE_ERROR_ON_MSG(src_tensor == nullptr, "invalid source tensor is given for in-place computation");
tensors.add_tensor(TensorType::ACL_DST, src_tensor);
}
IClOperator::run(tensors);
}
} // namespace opencl
} // namespace arm_compute
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