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NeonStridedSliceWorkload Class Reference

#include <NeonStridedSliceWorkload.hpp>

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

 NeonStridedSliceWorkload (const StridedSliceQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< StridedSliceQueueDescriptor >
 NeonBaseWorkload (const StridedSliceQueueDescriptor &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< QueueDescriptor >
 BaseWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void PostAllocationConfigure () override
 
const QueueDescriptor & GetData () const
 
arm::pipe::ProfilingGuid GetGuid () const final
 
virtual bool SupportsTensorHandleReplacement () const override
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 
virtual armnn::Optional< armnn::MemoryRequirements > GetMemoryRequirements ()
 

Additional Inherited Members

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

Detailed Description

Definition at line 24 of file NeonStridedSliceWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonStridedSliceWorkload()

NeonStridedSliceWorkload ( const StridedSliceQueueDescriptor &  descriptor,
const WorkloadInfo &  info 
)

Definition at line 51 of file NeonStridedSliceWorkload.cpp.

53  : NeonBaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
54 {
55  // Report Profiling Details
56  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonStridedSliceWorkload_Construct",
57  descriptor.m_Parameters,
58  info,
59  this->GetGuid());
60 
61  m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1);
62 
63  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
64  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
65 
66  arm_compute::Coordinates starts;
67  arm_compute::Coordinates ends;
68  arm_compute::Coordinates strides;
69 
70  std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin,
71  m_Data.m_Parameters.m_End,
72  m_Data.m_Parameters.m_Stride);
73 
74  auto numDimensions = armnn::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
75  int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
76  int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
77  int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
78 
79  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
80  input.info()->set_data_layout(aclDataLayout);
81  output.info()->set_data_layout(aclDataLayout);
82 
83  auto layer = std::make_unique<arm_compute::NEStridedSlice>();
84 
85  layer->configure(&input,
86  &output,
87  starts,
88  ends,
89  strides,
90  begin_mask,
91  end_mask,
92  shrink_axis_mask);
93  m_Layer.reset(layer.release());
94 }
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::BaseWorkload::m_Data
QueueDescriptor m_Data
Definition: Workload.hpp:74
armnn::SetNeonStridedSliceData
auto SetNeonStridedSliceData(const std::vector< int > &m_begin, const std::vector< int > &m_end, const std::vector< int > &m_stride)
Definition: NeonWorkloadUtils.hpp:138
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:15
armnn::DataLayout
DataLayout
Definition: Types.hpp:63
armnn::ConvertMaskToACLFormat
int32_t ConvertMaskToACLFormat(int32_t mask, int32_t numDim)
Definition: WorkloadUtils.cpp:299
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:447

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

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 96 of file NeonStridedSliceWorkload.cpp.

97 {
98  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonStridedSliceWorkload_Execute");
99  m_Layer->run();
100 }
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

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.

The documentation for this class was generated from the following files: