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/*
* Copyright (c) 2016-2020 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/CLActivationLayer.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/kernels/CLActivationLayerKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLRuntimeContext.h"
#include "support/MemorySupport.h"
namespace arm_compute
{
namespace experimental
{
void CLActivationLayer::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *output, ActivationLayerInfo act_info)
{
auto k = arm_compute::support::cpp14::make_unique<CLActivationLayerKernel>();
k->configure(compile_context, input, output, act_info);
_kernel = std::move(k);
}
Status CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
return CLActivationLayerKernel::validate(input, output, act_info);
}
MemoryRequirements CLActivationLayer::workspace() const
{
return MemoryRequirements{};
}
} // namespace experimental
struct CLActivationLayer::Impl
{
const ICLTensor *src{ nullptr };
ICLTensor *dst{ nullptr };
CLRuntimeContext *ctx{ nullptr };
std::unique_ptr<experimental::CLActivationLayer> op{ nullptr };
};
CLActivationLayer::CLActivationLayer(CLRuntimeContext *ctx)
: _impl(support::cpp14::make_unique<Impl>())
{
_impl->ctx = ctx;
}
CLActivationLayer::CLActivationLayer(CLActivationLayer &&) = default;
CLActivationLayer &CLActivationLayer::operator=(CLActivationLayer &&) = default;
CLActivationLayer::~CLActivationLayer() = default;
void CLActivationLayer::configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, act_info);
}
void CLActivationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
_impl->src = input;
_impl->dst = output == nullptr ? input : output;
_impl->op = arm_compute::support::cpp14::make_unique<experimental::CLActivationLayer>();
_impl->op->configure(compile_context, _impl->src->info(), _impl->dst->info(), act_info);
}
Status CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
return experimental::CLActivationLayer::validate(input, output, act_info);
}
void CLActivationLayer::run()
{
const InputTensorMap src{ { TensorType::ACL_SRC, _impl->src } };
const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } };
_impl->op->run(src, dst, {});
}
} // namespace arm_compute
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