| // |
| // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonReduceWorkload.hpp" |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <neon/NeonTensorHandle.hpp> |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status NeonReduceWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const ReduceDescriptor& desc) |
| { |
| if ( desc.m_vAxis.size()==1 || desc.m_vAxis.empty()) |
| { |
| const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(), |
| input.GetNumDimensions(), |
| desc.m_vAxis); |
| |
| return arm_compute::NEReductionOperation::validate(&aclInputInfo, |
| &aclOutputInfo, |
| static_cast<unsigned int>(coords[0]), |
| ConvertReductionOperationToAcl(desc), |
| desc.m_KeepDims); |
| } |
| else |
| { |
| // Validate layer if there are multiple axes. |
| arm_compute::Status status; |
| IS_MULTI_AXES_REDUCE_SUPPORTED(NeonReduceWorkloadValidate, input, desc, status); |
| return status; |
| } |
| } |
| |
| NeonReduceWorkload::NeonReduceWorkload(const ReduceQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : BaseWorkload<ReduceQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonReduceWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(), |
| info.m_InputTensorInfos[0].GetNumDimensions(), |
| m_Data.m_Parameters.m_vAxis); |
| |
| m_Layer.configure(&input, |
| &output, |
| static_cast<unsigned int>(coords[0]), |
| ConvertReductionOperationToAcl(m_Data.m_Parameters), |
| m_Data.m_Parameters.m_KeepDims); |
| } |
| |
| void NeonReduceWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonReduceWorkload_Execute"); |
| m_Layer.run(); |
| } |
| |
| } //namespace armnn |