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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonActivationUint8Workload.hpp"
#include "backends/ArmComputeUtils.hpp"
#include "backends/NeonLayerSupport.hpp"
namespace armnn
{
NeonActivationUint8Workload::NeonActivationUint8Workload(const ActivationQueueDescriptor& descriptor,
const WorkloadInfo& info)
: Uint8Workload<ActivationQueueDescriptor>(descriptor, info)
{
std::string reasonIfUnsupported;
if (!IsNeonActivationUint8Supported(&reasonIfUnsupported, m_Data.m_Parameters))
{
throw InvalidArgumentException(reasonIfUnsupported);
}
// Only BoundedReLu is supported (see IsNeonActivationUint8Supported)
arm_compute::ActivationLayerInfo layerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
m_Data.m_Parameters.m_A,
m_Data.m_Parameters.m_B);
m_Data.ValidateInputsOutputs("NeonActivationUint8Workload", 1, 1);
arm_compute::ITensor& input = static_cast<NeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<NeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
m_ActivationLayer.configure(&input, &output, layerInfo);
}
void NeonActivationUint8Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonActivationUint8Workload_Execute");
m_ActivationLayer.run();
}
} //namespace armnn
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