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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonChannelShuffleWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
namespace armnn
{
arm_compute::Status NeonChannelShuffleValidate(const TensorInfo& input,
const TensorInfo& output,
const ChannelShuffleDescriptor& descriptor)
{
arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.
// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,
// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).
arm_compute::DataLayout aclDataLayout;
if (input.GetNumDimensions() == 4)
{
switch (descriptor.m_Axis)
{
case 1:
aclDataLayout = ConvertDataLayout(armnn::DataLayout::NCHW);
break;
case 3:
aclDataLayout = ConvertDataLayout(armnn::DataLayout::NHWC);
break;
default:
return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported axis"};
}
aclInputInfo.set_data_layout(aclDataLayout);
aclOutputInfo.set_data_layout(aclDataLayout);
return arm_compute::NEChannelShuffleLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_NumGroups);
}
else
{
return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported number of dimensions"};
}
}
NeonChannelShuffleWorkload::NeonChannelShuffleWorkload(const ChannelShuffleQueueDescriptor& descriptor,
const WorkloadInfo& info)
: NeonBaseWorkload<ChannelShuffleQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonChannelShufflenWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonChannelShuffleWorkload", 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();
// In Arm NN and in NNAPI, channel shuffle implementation is datalayout agnostic and it has axis as a parameter.
// The channel shuffle Implementation for Neon is dependent on datalayout and does not have axis as a parameter,
// it only supports channel shuffle for 4D tensors in dimension C (1 or 3).
arm_compute::DataLayout aclDataLayout;
switch (descriptor.m_Parameters.m_Axis)
{
case 1:
aclDataLayout = ConvertDataLayout(armnn::DataLayout::NCHW);
break;
case 3:
aclDataLayout = ConvertDataLayout(armnn::DataLayout::NHWC);
break;
default:
ARMNN_ASSERT_MSG(false, "Unsupported axis");
break;
}
input.info()->set_data_layout(aclDataLayout);
output.info()->set_data_layout(aclDataLayout);
m_ChannelShuffleLayer.configure(&input, &output, descriptor.m_Parameters.m_NumGroups);
}
void NeonChannelShuffleWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonChannelShuffleWorkload_Execute", this->GetGuid());
m_ChannelShuffleLayer.run();
}
} // namespace armnn
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