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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonDequantizeWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <arm_compute/runtime/NEON/functions/NEDequantizationLayer.h>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <neon/NeonTensorHandle.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status NeonDequantizeWorkloadValidate(const TensorInfo& input,
const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
return arm_compute::NEDequantizationLayer::validate(&aclInput, &aclOutput);
}
NeonDequantizeWorkload::NeonDequantizeWorkload(const DequantizeQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<DequantizeQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonDequantizeWorkload", 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();
std::unique_ptr<arm_compute::NEDequantizationLayer> layer(new arm_compute::NEDequantizationLayer());
layer->configure(&input, &output);
layer->prepare();
m_Layer.reset(layer.release());
}
void NeonDequantizeWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonDequantizeWorkload_Execute", this->GetGuid());
m_Layer->run();
}
} //namespace armnn
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