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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonPermuteWorkload.hpp"
#include <backends/neon/NeonTensorHandle.hpp>
#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
#include <arm_compute/core/Error.h>
namespace armnn
{
arm_compute::Status NeonPermuteWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const PermuteDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
const armnn::PermutationVector& mappings = descriptor.m_DimMappings;
return arm_compute::NEPermute::validate(&aclInputInfo, &aclOutputInfo,
armcomputetensorutils::BuildArmComputePermutationVector(mappings));
}
template <armnn::DataType... DataTypes>
NeonPermuteWorkload<DataTypes...>::NeonPermuteWorkload(const PermuteQueueDescriptor& descriptor,
const WorkloadInfo& info)
: TypedWorkload<PermuteQueueDescriptor, DataTypes...>(descriptor, info)
{
using armcomputetensorutils::BuildArmComputePermutationVector;
m_Data.ValidateInputsOutputs(GetName(), 1, 1);
const arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
const armnn::PermutationVector& mappings = m_Data.m_Parameters.m_DimMappings;
// Run the layer.
m_PermuteFunction.configure(&input, &output, BuildArmComputePermutationVector(mappings));
}
template <armnn::DataType... DataTypes>
void NeonPermuteWorkload<DataTypes...>::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON(GetName() + "_Execute");
m_PermuteFunction.run();
}
template class NeonPermuteWorkload<DataType::Float16, DataType::Float32>;
template class NeonPermuteWorkload<DataType::QuantisedAsymm8>;
} // namespace armnn
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