ArmNN
 24.02
NeonMeanWorkload.cpp
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1 //
2 // Copyright © 2018-2019,2021-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonMeanWorkload.hpp"
7 
9 
11 
12 #include "NeonWorkloadUtils.hpp"
13 
14 namespace armnn
15 {
16 using namespace armcomputetensorutils;
17 
19  const TensorInfo& output,
20  const MeanDescriptor& descriptor)
21 {
22  const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
23  const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
24 
25  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(),
26  input.GetNumDimensions(),
27  descriptor.m_Axis);
28 
29  return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, descriptor.m_KeepDims, &aclOutputInfo);
30 }
31 
34 {
35  // Report Profiling Details
36  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonMeanWorkload_Construct",
37  descriptor.m_Parameters,
38  info,
39  this->GetGuid());
40 
41  m_Data.ValidateInputsOutputs("NeonMeanWorkload", 1, 1);
42 
43  arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
44  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
45 
46  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),
47  info.m_InputTensorInfos[0].GetNumDimensions(),
49 
50  m_Layer.configure(&input, coords, m_Data.m_Parameters.m_KeepDims, &output);
51 }
52 
54 {
55  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonMeanWorkload_Execute");
56  m_Layer.run();
57 }
58 
59 } //namespace armnn
NeonMeanWorkload.hpp
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
armnn::NeonMeanWorkloadValidate
arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor)
Definition: NeonMeanWorkload.cpp:18
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::NeonMeanWorkload::Execute
void Execute() const override
Definition: NeonMeanWorkload.cpp:53
NeonTensorHandle.hpp
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:197
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:15
armnn::MeanDescriptor::m_KeepDims
bool m_KeepDims
Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.
Definition: Descriptors.hpp:1192
armnn::IAclTensorHandle
Definition: ArmComputeTensorHandle.hpp:16
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::Status
Status
Definition: Types.hpp:42
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:1190
armnn::BaseWorkload< MeanQueueDescriptor >::m_Data
MeanQueueDescriptor m_Data
Definition: Workload.hpp:89
NeonWorkloadUtils.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
ArmComputeTensorUtils.hpp
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:32
armnn::MeanQueueDescriptor
Definition: WorkloadData.hpp:288
armnn::NeonMeanWorkload::NeonMeanWorkload
NeonMeanWorkload(const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonMeanWorkload.cpp:32
armnn::MeanDescriptor
A MeanDescriptor for the MeanLayer.
Definition: Descriptors.hpp:1172
armnn::NeonBaseWorkload
Definition: NeonBaseWorkload.hpp:13
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26