ArmNN
 24.02
NeonArgMinMaxWorkload.cpp
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1 //
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "NeonWorkloadUtils.hpp"
8 
10 
12 
16 
17 #include <arm_compute/runtime/NEON/functions/NEArgMinMaxLayer.h>
18 
19 namespace
20 {
21 unsigned int CalcAclAxis(unsigned int numDimensions, unsigned int axisIndex)
22 {
23  return (numDimensions - axisIndex) - 1;
24 }
25 
26 } //namespace
27 
28 namespace armnn
29 {
30 
32  const TensorInfo& output,
33  const ArgMinMaxDescriptor& descriptor)
34 {
35  const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
36  const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
37 
38  auto numDims = input.GetNumDimensions();
39  auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, descriptor.m_Axis);
40  int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
41 
42  if (descriptor.m_Function == ArgMinMaxFunction::Max)
43  {
44  return arm_compute::NEArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
45  arm_compute::ReductionOperation::ARG_IDX_MAX);
46  }
47  else
48  {
49  return arm_compute::NEArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
50  arm_compute::ReductionOperation::ARG_IDX_MIN);
51  }
52 }
53 
54 
56  const WorkloadInfo& info)
58 {
59  // Report Profiling Details
60  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonArgMinMaxWorkload_Construct",
61  descriptor.m_Parameters,
62  info,
63  this->GetGuid());
64 
65  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
66  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
67 
68  auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
69  auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
70  int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
71 
72  auto layer = std::make_unique<arm_compute::NEArgMinMaxLayer>();
73 
75  {
76  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
77  }
78  else
79  {
80  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
81  }
82 
83  m_ArgMinMaxLayer.reset(layer.release());
84 }
85 
87 {
88  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonArgMinMaxWorkload_Execute");
89  m_ArgMinMaxLayer->run();
90 }
91 
92 } //namespace armnn
93 
armnn::ArgMinMaxFunction::Max
@ Max
armnn::ArgMinMaxDescriptor
An ArgMinMaxDescriptor for ArgMinMaxLayer.
Definition: Descriptors.hpp:67
armnn::NeonArgMinMaxWorkload::NeonArgMinMaxWorkload
NeonArgMinMaxWorkload(const ArgMinMaxQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonArgMinMaxWorkload.cpp:55
armnnUtils::GetUnsignedAxis
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)
Definition: TensorUtils.cpp:236
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:197
armnn::ArgMinMaxDescriptor::m_Function
ArgMinMaxFunction m_Function
Specify if the function is to find Min or Max.
Definition: Descriptors.hpp:81
armnn::NeonArgMinMaxWorkload::Execute
virtual void Execute() const override
Definition: NeonArgMinMaxWorkload.cpp:86
NumericCast.hpp
TensorUtils.hpp
armnn::NeonArgMinMaxWorkloadValidate
arm_compute::Status NeonArgMinMaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor)
Definition: NeonArgMinMaxWorkload.cpp:31
NeonArgMinMaxWorkload.hpp
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
PolymorphicDowncast.hpp
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
TensorHandle.hpp
armnn::Status
Status
Definition: Types.hpp:42
armnn::BaseWorkload< ArgMinMaxQueueDescriptor >::m_Data
ArgMinMaxQueueDescriptor m_Data
Definition: Workload.hpp:89
NeonWorkloadUtils.hpp
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::ArgMinMaxDescriptor::m_Axis
int m_Axis
Axis to reduce across the input tensor.
Definition: Descriptors.hpp:83
ArmComputeTensorUtils.hpp
armnn::ArgMinMaxQueueDescriptor
Definition: WorkloadData.hpp:163
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::NeonBaseWorkload
Definition: NeonBaseWorkload.hpp:13
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26