ArmNN
 24.08
NeonSpaceToBatchNdWorkload Class Reference

#include <NeonSpaceToBatchNdWorkload.hpp>

Inheritance diagram for NeonSpaceToBatchNdWorkload:
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Collaboration diagram for NeonSpaceToBatchNdWorkload:
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Public Member Functions

 NeonSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< SpaceToBatchNdQueueDescriptor >
 NeonBaseWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
- Public Member Functions inherited from BaseWorkload< SpaceToBatchNdQueueDescriptor >
 BaseWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const SpaceToBatchNdQueueDescriptorGetData () const
 
arm::pipe::ProfilingGuid GetGuid () const final
 
virtual bool SupportsTensorHandleReplacement () const override
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual arm::pipe::ProfilingGuid GetGuid () const =0
 
virtual bool SupportsTensorHandleReplacement () const =0
 
virtual const std::string & GetName () const =0
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 
virtual armnn::Optional< armnn::MemoryRequirementsGetMemoryRequirements ()
 

Additional Inherited Members

- Protected Member Functions inherited from NeonBaseWorkload< SpaceToBatchNdQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< SpaceToBatchNdQueueDescriptor >
SpaceToBatchNdQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 
const std::string m_Name
 

Detailed Description

Definition at line 21 of file NeonSpaceToBatchNdWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonSpaceToBatchNdWorkload()

NeonSpaceToBatchNdWorkload ( const SpaceToBatchNdQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 92 of file NeonSpaceToBatchNdWorkload.cpp.

94  : NeonBaseWorkload<SpaceToBatchNdQueueDescriptor>(descriptor, info)
95 {
96  // Report Profiling Details
97  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSpaceToBatchNdWorkload_Construct",
98  descriptor.m_Parameters,
99  info,
100  this->GetGuid());
101 
102  m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);
103 
104  arm_compute::ITensor& input = PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
105  arm_compute::ITensor& output = PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
106 
107  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
108  input.info()->set_data_layout(aclDataLayout);
109  output.info()->set_data_layout(aclDataLayout);
110 
111  arm_compute::TensorInfo aclReshapeInputInfo = BuildArmComputeTensorInfo(info.m_InputTensorInfos[0],
113  arm_compute::TensorInfo aclReshapeOutputInfo = BuildArmComputeTensorInfo(info.m_OutputTensorInfos[0],
115 
116  const unsigned int rank = info.m_InputTensorInfos[0].GetNumDimensions();
117  if (rank == 3)
118  {
119  const arm_compute::TensorShape inputShape = input.info()->tensor_shape();
120  const arm_compute::TensorShape outputShape = output.info()->tensor_shape();
121 
122  // When a spacial dimension is missing set W to 1
124  {
125  // In ACL dimensions are right to left: C, W, H, N
126  aclReshapeInputInfo.set_tensor_shape({inputShape.x(), 1, inputShape.y(), inputShape.z()});
127  aclReshapeOutputInfo.set_tensor_shape({outputShape.x(), 1, outputShape.y(), outputShape.z()});
128  }
130  {
131  // In ACL dimensions are right to left: W, H, C, N
132  aclReshapeInputInfo.set_tensor_shape({1, inputShape.x(), inputShape.y(), inputShape.z()});
133  aclReshapeOutputInfo.set_tensor_shape({1, outputShape.x(), outputShape.y(), outputShape.z()});
134  }
135  else
136  {
137  throw InvalidArgumentException("Unsupported or unknown DataLayout", CHECK_LOCATION());
138  }
139 
140  m_ReshapeInputTensor.allocator()->init(aclReshapeInputInfo);
141  m_ReshapeOutputTensor.allocator()->init(aclReshapeOutputInfo);
142 
143  InitialiseArmComputeTensorEmpty(m_ReshapeInputTensor);
144  InitialiseArmComputeTensorEmpty(m_ReshapeOutputTensor);
145 
146  m_LayerReshapeInput.reset(new arm_compute::NEReshapeLayer());
147  m_LayerReshapeOutput.reset(new arm_compute::NEReshapeLayer());
148 
149  m_LayerReshapeInput->configure(&input, &m_ReshapeInputTensor);
150  m_LayerReshapeOutput->configure(&m_ReshapeOutputTensor, &output);
151  }
152 
153  // ArmNN blockShape is [H, W] ACl asks for W, H
154  int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
155  int32_t blockWidth = (rank == 3) ? 1: armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]);
156 
157  unsigned int padLeft = (rank == 3) ? 0 : descriptor.m_Parameters.m_PadList[1].first;
158  unsigned int padRight = (rank == 3) ? 0 : descriptor.m_Parameters.m_PadList[1].second;
159  arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(padLeft,
160  descriptor.m_Parameters.m_PadList[0].first);
161  arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(padRight,
162  descriptor.m_Parameters.m_PadList[0].second);
163 
164  m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
165  m_Layer->configure((rank == 3) ? &m_ReshapeInputTensor : &input,
166  blockWidth,
167  blockHeight,
168  paddingLeftTop,
169  paddingRightBottom,
170  (rank == 3) ? &m_ReshapeOutputTensor : &output);
171  m_Layer->prepare();
172 }

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::info, BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and QueueDescriptor::ValidateInputsOutputs().

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 174 of file NeonSpaceToBatchNdWorkload.cpp.

175 {
176  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonSpaceToBatchNdWorkload_Execute");
177  if (m_LayerReshapeInput)
178  {
179  m_LayerReshapeInput->run();
180  }
181  if (m_Layer)
182  {
183  m_Layer->run();
184  }
185  if (m_LayerReshapeOutput)
186  {
187  m_LayerReshapeOutput->run();
188  }
189 }

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.


The documentation for this class was generated from the following files:
armnn::DataLayout
DataLayout
Definition: Types.hpp:62
armnn::SpaceToBatchNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1071
armnn::DataLayout::NHWC
@ NHWC
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:447
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::SpaceToBatchNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape value.
Definition: Descriptors.hpp:1066
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
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::BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data
SpaceToBatchNdQueueDescriptor m_Data
Definition: Workload.hpp:89
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:33
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::DataLayout::NCHW
@ NCHW