| // |
| // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClChannelShuffleWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <cl/ClTensorHandle.hpp> |
| |
| using namespace armnn::armcomputetensorutils; |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status ClChannelShuffleValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const ChannelShuffleDescriptor& descriptor) |
| { |
| arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); |
| arm_compute::TensorInfo aclOutputInfo = 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::CLChannelShuffleLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_NumGroups); |
| } |
| else |
| { |
| return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported number of dimensions"}; |
| } |
| } |
| |
| ClChannelShuffleWorkload::ClChannelShuffleWorkload(const ChannelShuffleQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| const arm_compute::CLCompileContext& clCompileContext) |
| : ClBaseWorkload<ChannelShuffleQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClChannelShufflenWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("ClChannelShuffleWorkload", 1, 1); |
| |
| arm_compute::ICLTensor& input = PolymorphicDowncast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = PolymorphicDowncast<ClTensorHandle*>(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); |
| |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClChannelShuffleWorkload_configure"); |
| m_ChannelShuffleLayer.configure(clCompileContext, &input, &output, descriptor.m_Parameters.m_NumGroups); |
| } |
| } |
| |
| void ClChannelShuffleWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClChannelShuffleWorkload_Execute", this->GetGuid()); |
| RunClFunction(m_ChannelShuffleLayer, CHECK_LOCATION()); |
| } |
| |
| } // namespace armnn |