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/*
* Copyright (c) 2016-2021 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/gpu/cl/operators/ClActivation.h"
#include "src/common/IOperator.h"
#include "src/common/utils/LegacySupport.h"
#include "src/common/utils/Log.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/ClContext.h"
#include "src/gpu/cl/kernels/ClActivationKernel.h"
namespace arm_compute
{
namespace opencl
{
void ClActivation::configure(const ClCompileContext &compile_context,
ITensorInfo *src,
ITensorInfo *dst,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_LOG_PARAMS(src, dst, act_info);
auto k = std::make_unique<kernels::ClActivationKernel>();
k->configure(compile_context, src, dst, act_info);
_kernel = std::move(k);
}
Status ClActivation::validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
{
return kernels::ClActivationKernel::validate(src, dst, act_info);
}
} // namespace opencl
namespace gpu
{
namespace opencl
{
std::tuple<IOperator *, StatusCode> ClContext::create_activation(const AclTensorDescriptor &src,
const AclTensorDescriptor &dst,
const AclActivationDescriptor &act,
bool is_validate)
{
TensorInfo src_info = detail::convert_to_legacy_tensor_info(src);
TensorInfo dst_info = detail::convert_to_legacy_tensor_info(dst);
auto info = detail::convert_to_activation_info(act);
if (is_validate && !bool(arm_compute::opencl::ClActivation::validate(&src_info.set_is_resizable(false),
&dst_info.set_is_resizable(false), info)))
{
return std::make_tuple(nullptr, StatusCode::UnsupportedConfig);
}
auto act_op = std::make_unique<arm_compute::opencl::ClActivation>();
act_op->configure(CLKernelLibrary::get().get_compile_context(), &src_info, &dst_info, info);
auto op = new arm_compute::IOperator(static_cast<IContext *>(this));
if (op == nullptr)
{
ARM_COMPUTE_LOG_ERROR_ACL("Couldn't allocate internal resources");
return std::make_tuple(nullptr, StatusCode::OutOfMemory);
}
op->set_internal_operator(std::move(act_op));
return std::make_tuple(op, StatusCode::Success);
}
} // namespace opencl
} // namespace gpu
} // namespace arm_compute
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