ArmNN
 21.05
Public Member Functions | List of all members
NeonStridedSliceWorkload Class Reference

#include <NeonStridedSliceWorkload.hpp>

Inheritance diagram for NeonStridedSliceWorkload:
BaseWorkload< StridedSliceQueueDescriptor > IWorkload

Public Member Functions

 NeonStridedSliceWorkload (const StridedSliceQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< StridedSliceQueueDescriptor >
 BaseWorkload (const StridedSliceQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const StridedSliceQueueDescriptor & GetData () const
 
profiling::ProfilingGuid GetGuid () const final
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 

Additional Inherited Members

- Protected Attributes inherited from BaseWorkload< StridedSliceQueueDescriptor >
StridedSliceQueueDescriptor m_Data
 
const profiling::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::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  : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
52 {
53  m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 1, 1);
54 
55  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
56  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
57 
58  arm_compute::Coordinates starts;
59  arm_compute::Coordinates ends;
60  arm_compute::Coordinates strides;
61 
62  std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin,
63  m_Data.m_Parameters.m_End,
64  m_Data.m_Parameters.m_Stride);
65 
66  auto numDimensions = armnn::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
67  int32_t begin_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
68  int32_t end_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
69  int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);
70 
71  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
72  input.info()->set_data_layout(aclDataLayout);
73  output.info()->set_data_layout(aclDataLayout);
74 
75  auto layer = std::make_unique<arm_compute::NEStridedSlice>();
76 
77  layer->configure(&input,
78  &output,
79  starts,
80  ends,
81  strides,
82  begin_mask,
83  end_mask,
84  shrink_axis_mask);
85  m_Layer.reset(layer.release());
86 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:54
armnn::StridedSliceDescriptor::m_ShrinkAxisMask
int32_t m_ShrinkAxisMask
Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...
Definition: Descriptors.hpp:1136
armnn::StridedSliceDescriptor::m_Begin
std::vector< int > m_Begin
Begin values for the input that will be sliced.
Definition: Descriptors.hpp:1123
armnn::StridedSliceDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1144
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:14
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:459
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:70
armnn::StridedSliceDescriptor::m_BeginMask
int32_t m_BeginMask
Begin mask value.
Definition: Descriptors.hpp:1131
armnn::StridedSliceDescriptor::m_EndMask
int32_t m_EndMask
End mask value.
Definition: Descriptors.hpp:1134
armnn::StridedSliceDescriptor::m_Stride
std::vector< int > m_Stride
Stride values for the input that will be sliced.
Definition: Descriptors.hpp:1127
armnn::StridedSliceDescriptor::m_End
std::vector< int > m_End
End values for the input that will be sliced.
Definition: Descriptors.hpp:1125
armnn::ConvertMaskToACLFormat
int32_t ConvertMaskToACLFormat(int32_t mask, int32_t numDim)
Definition: WorkloadUtils.cpp:193
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
armnn::numeric_cast
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:35
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 88 of file NeonStridedSliceWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

89 {
90  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute");
91  m_Layer->run();
92 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
The documentation for this class was generated from the following files: