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 --- ...assarmnn_1_1_ref_fully_connected_workload.xhtml | 285 +++++++++++++++++++++ 1 file changed, 285 insertions(+) create mode 100644 20.02/classarmnn_1_1_ref_fully_connected_workload.xhtml (limited to '20.02/classarmnn_1_1_ref_fully_connected_workload.xhtml') diff --git a/20.02/classarmnn_1_1_ref_fully_connected_workload.xhtml b/20.02/classarmnn_1_1_ref_fully_connected_workload.xhtml new file mode 100644 index 0000000000..3a5c37ed67 --- /dev/null +++ b/20.02/classarmnn_1_1_ref_fully_connected_workload.xhtml @@ -0,0 +1,285 @@ + + + + + + + + + + + + + +ArmNN: RefFullyConnectedWorkload Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  20.02 +
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+Public Member Functions | +List of all members
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+
RefFullyConnectedWorkload Class Reference
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+ +

#include <RefFullyConnectedWorkload.hpp>

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

 RefFullyConnectedWorkload (const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
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 18 of file RefFullyConnectedWorkload.hpp.

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Constructor & Destructor Documentation

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◆ RefFullyConnectedWorkload()

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RefFullyConnectedWorkload (const FullyConnectedQueueDescriptor & descriptor,
const WorkloadInfo & info 
)
+ 		+explicit
+
+ +

Definition at line 15 of file RefFullyConnectedWorkload.cpp.

+ +

References TensorInfo::GetShape(), FullyConnectedQueueDescriptor::m_Bias, FullyConnectedDescriptor::m_BiasEnabled, and QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters.

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17  : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info),
18  m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)))
19 {
20  const TensorInfo& rWeightInfo = m_Weight->GetTensorInfo();
21  m_WeightShape = rWeightInfo.GetShape();
22  m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
23 
24  if (descriptor.m_Parameters.m_BiasEnabled)
25  {
26  m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
27  const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
28  m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
29  }
30 }
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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 50 of file RefFullyConnectedWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::FullyConnected, FullyConnectedDescriptor::m_BiasEnabled, BaseWorkload< FullyConnectedQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and FullyConnectedDescriptor::m_TransposeWeightMatrix.

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51 {
52  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedWorkload_Execute");
53 
54  m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
55  m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
56 
57  FullyConnected(m_InputShape,
58  *m_InputDecoder,
59  m_OutputShape,
60  *m_OutputEncoder,
61  *m_WeightDecoder,
62  *m_BiasDecoder,
63  m_Data.m_Parameters.m_BiasEnabled,
64  m_NumActivations,
65  m_Data.m_Parameters.m_TransposeWeightMatrix);
66 }
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
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armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix
bool m_TransposeWeightMatrix
Enable/disable transpose weight matrix.
Definition: Descriptors.hpp:388
+
armnn::BaseWorkload< FullyConnectedQueueDescriptor >::m_Data
const FullyConnectedQueueDescriptor m_Data
Definition: Workload.hpp:46
+ + +
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
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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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◆ PostAllocationConfigure()

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void PostAllocationConfigure ()
+ 		+overridevirtual
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+ +

Implements IWorkload.

+ +

Definition at line 32 of file RefFullyConnectedWorkload.cpp.

+ +

References TensorInfo::GetNumDimensions(), TensorInfo::GetShape(), armnn::GetTensorInfo(), BaseWorkload< FullyConnectedQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

+
33 {
34  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
35  BOOST_ASSERT(inputInfo.GetNumDimensions() > 1);
36  m_InputShape = inputInfo.GetShape();
37  m_InputDecoder = MakeDecoder<float>(inputInfo);
38 
39  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
40  m_OutputShape = outputInfo.GetShape();
41  m_OutputEncoder = MakeEncoder<float>(outputInfo);
42 
43  m_NumActivations = 1; // Total number of activations in the input.
44  for (unsigned int i = 1; i < inputInfo.GetNumDimensions(); i++)
45  {
46  m_NumActivations *= inputInfo.GetShape()[i];
47  }
48 }
armnn::BaseWorkload< FullyConnectedQueueDescriptor >::m_Data
const FullyConnectedQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:25
+
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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The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1