From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- ...ssarmnn_1_1_neon_fully_connected_workload.xhtml | 253 +++++++++++++++++++++ 1 file changed, 253 insertions(+) create mode 100644 21.02/classarmnn_1_1_neon_fully_connected_workload.xhtml (limited to '21.02/classarmnn_1_1_neon_fully_connected_workload.xhtml') diff --git a/21.02/classarmnn_1_1_neon_fully_connected_workload.xhtml b/21.02/classarmnn_1_1_neon_fully_connected_workload.xhtml new file mode 100644 index 0000000000..4a589ca84f --- /dev/null +++ b/21.02/classarmnn_1_1_neon_fully_connected_workload.xhtml @@ -0,0 +1,253 @@ + + + + + + + + + + + + + +ArmNN: NeonFullyConnectedWorkload Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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+Public Member Functions | +List of all members
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NeonFullyConnectedWorkload Class Reference
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#include <NeonFullyConnectedWorkload.hpp>

+
+Inheritance diagram for NeonFullyConnectedWorkload:
+
+
+ + +BaseWorkload< FullyConnectedQueueDescriptor > +IWorkload + +
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+Public Member Functions

 NeonFullyConnectedWorkload (const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< FullyConnectedQueueDescriptor >
 BaseWorkload (const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const FullyConnectedQueueDescriptor & 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< FullyConnectedQueueDescriptor >
const FullyConnectedQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 27 of file NeonFullyConnectedWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonFullyConnectedWorkload()

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NeonFullyConnectedWorkload (const FullyConnectedQueueDescriptor & descriptor,
const WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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+ +

Definition at line 52 of file NeonFullyConnectedWorkload.cpp.

+ +

References BaseWorkload< FullyConnectedQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptor::ValidateInputsOutputs().

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54  : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info)
55 {
56  m_Data.ValidateInputsOutputs("NeonFullyConnectedWorkload", 1, 1);
57 
58  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
59  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
60 
61  m_WeightsTensor = std::make_unique<arm_compute::Tensor>();
62  BuildArmComputeTensor(*m_WeightsTensor, m_Data.m_Weight->GetTensorInfo());
63 
64  if (m_Data.m_Parameters.m_BiasEnabled)
65  {
66  m_BiasesTensor = std::make_unique<arm_compute::Tensor>();
67  BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo());
68  }
69 
70  const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
71 
72  arm_compute::FullyConnectedLayerInfo fc_info =
73  ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(descriptor.m_Parameters, activationInfo);
74 
75  auto layer = std::make_unique<arm_compute::NEFullyConnectedLayer>(memoryManager);
76  layer->configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, fc_info);
77  m_FullyConnectedLayer.reset(layer.release());
78 
79  // Allocate
80  if (m_Data.m_Weight->GetTensorInfo().GetDataType() == DataType::QAsymmU8)
81  {
82  InitializeArmComputeTensorData(*m_WeightsTensor, m_Data.m_Weight);
83  }
84  else
85  {
86  InitializeArmComputeTensorData(*m_WeightsTensor, m_Data.m_Weight);
87  }
88 
89  if (m_BiasesTensor)
90  {
91  if (m_Data.m_Bias->GetTensorInfo().GetDataType() == DataType::Signed32)
92  {
93  InitializeArmComputeTensorData(*m_BiasesTensor, m_Data.m_Bias);
94  }
95  else
96  {
97  InitializeArmComputeTensorData(*m_BiasesTensor, m_Data.m_Bias);
98  }
99  }
100 
101  // Force Compute Library to perform the necessary copying and reshaping, after which
102  // delete all the input tensors that will no longer be needed
103  m_FullyConnectedLayer->prepare();
104  FreeUnusedTensors();
105 }
armnn::FullyConnectedQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:173
+ +
armnn::BaseWorkload< FullyConnectedQueueDescriptor >::m_Data
const FullyConnectedQueueDescriptor m_Data
Definition: Workload.hpp:46
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armnn::ConvertAdditionalInfoToAclActivationLayerInfo
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
Definition: ArmComputeUtils.hpp:93
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armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
+ +
armnn::TensorInfo::GetDataType
DataType GetDataType() const
Definition: Tensor.hpp:194
+ +
armnn::FullyConnectedDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:402
+
armnn::ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo
arm_compute::FullyConnectedLayerInfo ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(const FullyConnectedDescriptor &fullyConnectedDesc, const ActivationDescriptor *activationDesc)
Definition: ArmComputeUtils.hpp:158
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armnn::InitializeArmComputeTensorData
void InitializeArmComputeTensorData(arm_compute::Tensor &tensor, const ConstCpuTensorHandle *handle)
Definition: NeonWorkloadUtils.hpp:35
+
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+ +
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
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armnn::FullyConnectedQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:174
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armnn::ConstCpuTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: CpuTensorHandle.hpp:37
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+

Member Function Documentation

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◆ Execute()

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void Execute () const
+ 		+overridevirtual
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Implements IWorkload.

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Definition at line 107 of file NeonFullyConnectedWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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108 {
109  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonFullyConnectedWorkload_Execute");
110  m_FullyConnectedLayer->run();
111 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
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The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1