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/*
* Copyright (c) 2021-2022 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/cpu/operators/CpuActivation.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/common/IOperator.h"
#include "src/common/utils/LegacySupport.h"
#include "src/common/utils/Log.h"
#include "src/cpu/CpuContext.h"
#include "src/cpu/kernels/CpuActivationKernel.h"
namespace arm_compute
{
namespace cpu
{
void CpuActivation::configure(const ITensorInfo *input, ITensorInfo *output, const ActivationLayerInfo &activation_info)
{
ARM_COMPUTE_LOG_PARAMS(input, output, activation_info);
auto k = std::make_unique<kernels::CpuActivationKernel>();
k->configure(input, output, activation_info);
_kernel = std::move(k);
}
Status
CpuActivation::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &activation_info)
{
return kernels::CpuActivationKernel::validate(input, output, activation_info);
}
void CpuActivation::run(ITensorPack &tensors)
{
ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
auto split_dimension = static_cast<kernels::CpuActivationKernel *>(_kernel.get())->get_split_dimension_hint();
NEScheduler::get().schedule_op(_kernel.get(), split_dimension, _kernel->window(), tensors);
}
std::tuple<IOperator *, StatusCode> CpuContext::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(CpuActivation::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<cpu::CpuActivation>();
act_op->configure(&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 cpu
} // namespace arm_compute
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