ArmNN
 22.08
NeonStridedSliceWorkload Class Reference

#include <NeonStridedSliceWorkload.hpp>

Inheritance diagram for NeonStridedSliceWorkload:
NeonBaseWorkload< StridedSliceQueueDescriptor > BaseWorkload< StridedSliceQueueDescriptor > IWorkload

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< StridedSliceQueueDescriptor >
 BaseWorkload (const StridedSliceQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const StridedSliceQueueDescriptorGetData () 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::MemoryRequirementsGetMemoryRequirements ()
 

Additional Inherited Members

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

Detailed Description

Definition at line 24 of file NeonStridedSliceWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonStridedSliceWorkload()

NeonStridedSliceWorkload ( const StridedSliceQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 49 of file NeonStridedSliceWorkload.cpp.

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::ConvertMaskToACLFormat(), StridedSliceDescriptor::m_Begin, StridedSliceDescriptor::m_BeginMask, BaseWorkload< StridedSliceQueueDescriptor >::m_Data, StridedSliceDescriptor::m_End, StridedSliceDescriptor::m_EndMask, QueueDescriptor::m_Inputs, WorkloadInfo::m_InputTensorInfos, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, StridedSliceDescriptor::m_ShrinkAxisMask, StridedSliceDescriptor::m_Stride, armnn::numeric_cast(), armnn::SetNeonStridedSliceData(), and QueueDescriptor::ValidateInputsOutputs().

51  : NeonBaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
52 {
53  // Report Profiling Details
54  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonStridedSliceWorkload_Construct",
55  descriptor.m_Parameters,
56  info,
57  this->GetGuid());
58 
59  m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1);
60 
61  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
62  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
63 
67 
68  std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin,
71 
72  auto numDimensions = armnn::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
73  int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
74  int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
75  int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
76 
77  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
78  input.info()->set_data_layout(aclDataLayout);
79  output.info()->set_data_layout(aclDataLayout);
80 
81  auto layer = std::make_unique<arm_compute::NEStridedSlice>();
82 
83  layer->configure(&input,
84  &output,
85  starts,
86  ends,
87  strides,
88  begin_mask,
89  end_mask,
90  shrink_axis_mask);
91  m_Layer.reset(layer.release());
92 }
DataLayout
Definition: Types.hpp:62
int32_t m_ShrinkAxisMask
Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...
std::vector< int > m_Begin
Begin values for the input that will be sliced.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
auto SetNeonStridedSliceData(const std::vector< int > &m_begin, const std::vector< int > &m_end, const std::vector< int > &m_stride)
int32_t m_BeginMask
Begin mask value.
int32_t m_EndMask
End mask value.
std::vector< int > m_Stride
Stride values for the input that will be sliced.
std::vector< int > m_End
End values for the input that will be sliced.
int32_t ConvertMaskToACLFormat(int32_t mask, int32_t numDim)
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:35
std::vector< ITensorHandle * > m_Inputs

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 94 of file NeonStridedSliceWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID, and BaseWorkload< StridedSliceQueueDescriptor >::GetGuid().

95 {
96  ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonStridedSliceWorkload_Execute", this->GetGuid());
97  m_Layer->run();
98 }
arm::pipe::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:61
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)

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