From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- ...lassarmnn_1_1_cl_fully_connected_workload.xhtml | 249 +++++++++++++++++++++ 1 file changed, 249 insertions(+) create mode 100644 20.02/classarmnn_1_1_cl_fully_connected_workload.xhtml (limited to '20.02/classarmnn_1_1_cl_fully_connected_workload.xhtml') diff --git a/20.02/classarmnn_1_1_cl_fully_connected_workload.xhtml b/20.02/classarmnn_1_1_cl_fully_connected_workload.xhtml new file mode 100644 index 0000000000..91a4e75221 --- /dev/null +++ b/20.02/classarmnn_1_1_cl_fully_connected_workload.xhtml @@ -0,0 +1,249 @@ + + + + + + + + + + + + + +ArmNN: ClFullyConnectedWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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+Public Member Functions | +List of all members
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ClFullyConnectedWorkload Class Reference
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#include <ClFullyConnectedWorkload.hpp>

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

 ClFullyConnectedWorkload (const armnn::FullyConnectedQueueDescriptor &descriptor, const armnn::WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< armnn::FullyConnectedQueueDescriptor >
 BaseWorkload (const armnn::FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const armnn::FullyConnectedQueueDescriptor & GetData () const
 
profiling::ProfilingGuid GetGuid () const final
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 
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+Additional Inherited Members

- Protected Attributes inherited from BaseWorkload< armnn::FullyConnectedQueueDescriptor >
const armnn::FullyConnectedQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
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Detailed Description

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Definition at line 24 of file ClFullyConnectedWorkload.hpp.

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Constructor & Destructor Documentation

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◆ ClFullyConnectedWorkload()

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ClFullyConnectedWorkload (const armnn::FullyConnectedQueueDescriptor & descriptor,
const armnn::WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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Definition at line 47 of file ClFullyConnectedWorkload.cpp.

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49  : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info)
50  , m_FullyConnectedLayer(memoryManager)
51 {
52  m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
53  BuildArmComputeTensor(*m_WeightsTensor, m_Data.m_Weight->GetTensorInfo());
54 
55  if (m_Data.m_Parameters.m_BiasEnabled)
56  {
57  m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
58  BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo());
59  }
60 
61  m_Data.ValidateInputsOutputs("ClFullyConnectedWorkload", 1, 1);
62 
63  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
64  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
65 
66  // Construct
67  arm_compute::FullyConnectedLayerInfo fc_info;
68  fc_info.transpose_weights = m_Data.m_Parameters.m_TransposeWeightMatrix;
69  m_FullyConnectedLayer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, fc_info);
70 
71  InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
72 
73  if (m_BiasesTensor)
74  {
75  InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
76  }
77 
78  // Force Compute Library to perform the necessary copying and reshaping, after which
79  // delete all the input tensors that will no longer be needed
80  m_FullyConnectedLayer.prepare();
81  FreeUnusedTensors();
82 }
armnn::InitializeArmComputeClTensorData
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
Definition: ClWorkloadUtils.hpp:90
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armnn::FullyConnectedQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:149
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armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix
bool m_TransposeWeightMatrix
Enable/disable transpose weight matrix.
Definition: Descriptors.hpp:388
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armnn::BaseWorkload< armnn::FullyConnectedQueueDescriptor >::m_Data
const armnn::FullyConnectedQueueDescriptor m_Data
Definition: Workload.hpp:46
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armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
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armnn::FullyConnectedDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:386
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armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
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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:150
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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
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Implements IWorkload.

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Definition at line 84 of file ClFullyConnectedWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_CL, CHECK_LOCATION, and armnn::RunClFunction().

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85 {
86  ARMNN_SCOPED_PROFILING_EVENT_CL("ClFullyConnectedWorkload_Execute");
87  RunClFunction(m_FullyConnectedLayer, CHECK_LOCATION());
88 }
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
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armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:131
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CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1