ArmNN
 24.08
NeonResizeWorkload Class Reference

#include <NeonResizeWorkload.hpp>

Inheritance diagram for NeonResizeWorkload:
[legend]
Collaboration diagram for NeonResizeWorkload:
[legend]

Public Member Functions

 NeonResizeWorkload (const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< ResizeQueueDescriptor >
 NeonBaseWorkload (const ResizeQueueDescriptor &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< ResizeQueueDescriptor >
 BaseWorkload (const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const ResizeQueueDescriptorGetData () 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< ResizeQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< ResizeQueueDescriptor >
ResizeQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 
const std::string m_Name
 

Detailed Description

Definition at line 19 of file NeonResizeWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonResizeWorkload()

NeonResizeWorkload ( const ResizeQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 52 of file NeonResizeWorkload.cpp.

54  : NeonBaseWorkload<ResizeQueueDescriptor>(descriptor, info)
55 {
56  // Report Profiling Details
57  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonResizeWorkload_Construct",
58  descriptor.m_Parameters,
59  info,
60  this->GetGuid());
61 
62  m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1);
63 
64  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
65  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
66 
67  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
68  input.info()->set_data_layout(aclDataLayout);
69  output.info()->set_data_layout(aclDataLayout);
70 
71  arm_compute::InterpolationPolicy aclInterpolationPolicy =
72  ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method);
73 
74  arm_compute::SamplingPolicy samplingPolicy = descriptor.m_Parameters.m_HalfPixelCenters
75  ? arm_compute::SamplingPolicy::CENTER
76  : arm_compute::SamplingPolicy::TOP_LEFT;
77 
78  bool usePadding = false;
79 
80  m_ResizeLayer.configure(&input,
81  &output,
82  arm_compute::ScaleKernelInfo(aclInterpolationPolicy,
83  arm_compute::BorderMode::REPLICATE,
84  arm_compute::PixelValue(0.f),
85  samplingPolicy,
86  usePadding,
87  descriptor.m_Parameters.m_AlignCorners));
88 };

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::info, BaseWorkload< ResizeQueueDescriptor >::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 90 of file NeonResizeWorkload.cpp.

91 {
92  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonResizeWorkload_Execute");
93  m_ResizeLayer.run();
94 }

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::ConvertResizeMethodToAclInterpolationPolicy
arm_compute::InterpolationPolicy ConvertResizeMethodToAclInterpolationPolicy(ResizeMethod resizeMethod)
Definition: ArmComputeUtils.hpp:213
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:447
armnn::ResizeDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1014
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
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< ResizeQueueDescriptor >::m_Data
ResizeQueueDescriptor 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