| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonMeanWorkload.hpp" |
| |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <neon/NeonTensorHandle.hpp> |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor) |
| { |
| 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(), |
| descriptor.m_Axis); |
| |
| return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, descriptor.m_KeepDims, &aclOutputInfo); |
| } |
| |
| NeonMeanWorkload::NeonMeanWorkload(const MeanQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : NeonBaseWorkload<MeanQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonMeanWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("NeonMeanWorkload", 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_Axis); |
| |
| m_Layer.configure(&input, coords, m_Data.m_Parameters.m_KeepDims, &output); |
| } |
| |
| void NeonMeanWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonMeanWorkload_Execute", this->GetGuid()); |
| m_Layer.run(); |
| } |
| |
| } //namespace armnn |