ArmNN
 24.02
ClBatchToSpaceNdWorkload Class Reference

#include <ClBatchToSpaceNdWorkload.hpp>

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

 ClBatchToSpaceNdWorkload (const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
 
virtual void Execute () const override
 
- Public Member Functions inherited from ClBaseWorkload< BatchToSpaceNdQueueDescriptor >
 ClBaseWorkload (const BatchToSpaceNdQueueDescriptor &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< BatchToSpaceNdQueueDescriptor >
 BaseWorkload (const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const BatchToSpaceNdQueueDescriptorGetData () 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 ClBaseWorkload< BatchToSpaceNdQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< BatchToSpaceNdQueueDescriptor >
BatchToSpaceNdQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 
const std::string m_Name
 

Detailed Description

Definition at line 21 of file ClBatchToSpaceNdWorkload.hpp.

Constructor & Destructor Documentation

◆ ClBatchToSpaceNdWorkload()

ClBatchToSpaceNdWorkload ( const BatchToSpaceNdQueueDescriptor descriptor,
const WorkloadInfo info,
const arm_compute::CLCompileContext &  clCompileContext 
)

Definition at line 88 of file ClBatchToSpaceNdWorkload.cpp.

91  : ClBaseWorkload<BatchToSpaceNdQueueDescriptor>(descriptor, info)
92 {
93  // Report Profiling Details
94  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClBatchToSpaceWorkload_Construct",
95  descriptor.m_Parameters,
96  info,
97  this->GetGuid());
98 
99  m_Data.ValidateInputsOutputs("ClBatchToSpaceNdWorkload", 1, 1);
100 
101  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
102  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
103 
104  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
105  input.info()->set_data_layout(aclDataLayout);
106  output.info()->set_data_layout(aclDataLayout);
107 
108  arm_compute::TensorInfo aclReshapeInputInfo = BuildArmComputeTensorInfo(info.m_InputTensorInfos[0],
110  arm_compute::TensorInfo aclReshapeOutputInfo = BuildArmComputeTensorInfo(info.m_OutputTensorInfos[0],
112 
113  const unsigned int rank = info.m_InputTensorInfos[0].GetNumDimensions();
114  if (rank == 3)
115  {
116  const arm_compute::TensorShape inputShape = input.info()->tensor_shape();
117  const arm_compute::TensorShape outputShape = output.info()->tensor_shape();
118 
119  // When a spacial dimension is missing set W to 1
121  {
122  // In ACL dimensions are right to left: C, W, H, N
123  aclReshapeInputInfo.set_tensor_shape({inputShape.x(), 1, inputShape.y(), inputShape.z()});
124  aclReshapeOutputInfo.set_tensor_shape({outputShape.x(), 1, outputShape.y(), outputShape.z()});
125  }
127  {
128  // In ACL dimensions are right to left: W, H, C, N
129  aclReshapeInputInfo.set_tensor_shape({1, inputShape.x(), inputShape.y(), inputShape.z()});
130  aclReshapeOutputInfo.set_tensor_shape({1, outputShape.x(), outputShape.y(), outputShape.z()});
131  }
132  else
133  {
134  throw InvalidArgumentException("Unsupported or unknown DataLayout", CHECK_LOCATION());
135  }
136 
137  m_ReshapeInputTensor.allocator()->init(aclReshapeInputInfo);
138  m_ReshapeOutputTensor.allocator()->init(aclReshapeOutputInfo);
139 
140  InitialiseArmComputeTensorEmpty(m_ReshapeInputTensor);
141  InitialiseArmComputeTensorEmpty(m_ReshapeOutputTensor);
142 
143  m_LayerReshapeInput.reset(new arm_compute::CLReshapeLayer());
144  m_LayerReshapeOutput.reset(new arm_compute::CLReshapeLayer());
145 
146  m_LayerReshapeInput->configure(clCompileContext, &input, &m_ReshapeInputTensor);
147  m_LayerReshapeOutput->configure(clCompileContext, &m_ReshapeOutputTensor, &output);
148  }
149 
150  // ArmNN blockShape is [H, W] ACl asks for W, H
151  int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]);
152  int32_t blockWidth = (rank == 3) ? 1 : armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]);
153 
154  const arm_compute::CropInfo cropInfo = BuildArmComputeCropInfo(descriptor.m_Parameters);
155 
156  {
157  ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClBatchToSpaceNdWorkload_configure");
158  m_Layer.configure(clCompileContext,
159  (rank == 3) ? &m_ReshapeInputTensor : &input,
160  blockWidth,
161  blockHeight,
162  (rank == 3) ? &m_ReshapeOutputTensor : &output,
163  cropInfo);
164  }
165 }

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::info, BaseWorkload< BatchToSpaceNdQueueDescriptor >::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 167 of file ClBatchToSpaceNdWorkload.cpp.

168 {
169  ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClBatchToSpaceNdWorkload_Execute");
170  if (m_LayerReshapeInput)
171  {
172  m_LayerReshapeInput->run();
173  }
174  RunClFunction(m_Layer, CHECK_LOCATION());
175  if (m_LayerReshapeOutput)
176  {
177  m_LayerReshapeOutput->run();
178  }
179 }

References ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID, CHECK_LOCATION, and armnn::RunClFunction().


The documentation for this class was generated from the following files:
armnn::DataLayout
DataLayout
Definition: Types.hpp:62
armnn::DataLayout::NHWC
@ NHWC
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: ClWorkloadUtils.hpp:36
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< BatchToSpaceNdQueueDescriptor >::m_Data
BatchToSpaceNdQueueDescriptor m_Data
Definition: Workload.hpp:89
armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:168
armnn::BatchToSpaceNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:902
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::DataLayout::NCHW
@ NCHW