blob: 8c659508e250f92e1a943d18593da0f53aad324f [file] [log] [blame]
//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonExpWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
namespace armnn
{
arm_compute::Status NeonExpWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
return arm_compute::NEExpLayer::validate(&aclInput, &aclOutput);
}
NeonExpWorkload::NeonExpWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info)
: NeonBaseWorkload<ElementwiseUnaryQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonExpWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonExpWorkload", 1, 1);
arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
m_ExpLayer.configure(&input, &output);
}
void NeonExpWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonExpWorkload_Execute", this->GetGuid());
m_ExpLayer.run();
}
} // namespace armnn