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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonFillWorkload.hpp"
#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <arm_compute/core/Types.h>
#include <arm_compute/runtime/NEON/functions/NEFill.h>
#include "NeonWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
NeonFillWorkload::NeonFillWorkload(const FillQueueDescriptor& descriptor, const WorkloadInfo& info)
: NeonBaseWorkload<FillQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonFillWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonFillWorkload", 1, 1);
arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
arm_compute::PixelValue pixelValue = GetPixelValue(output.info(), descriptor.m_Parameters.m_Value);
auto layer = std::make_unique<arm_compute::NEFill>();
layer->configure(&output, pixelValue);
m_Layer.reset(layer.release());
}
void NeonFillWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonFillWorkload_Execute", this->GetGuid());
m_Layer->run();
}
} // namespace armnn
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