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 --- ..._1_1_neon_l2_normalization_float_workload.xhtml | 248 +++++++++++++++++++++ 1 file changed, 248 insertions(+) create mode 100644 20.02/classarmnn_1_1_neon_l2_normalization_float_workload.xhtml (limited to '20.02/classarmnn_1_1_neon_l2_normalization_float_workload.xhtml') diff --git a/20.02/classarmnn_1_1_neon_l2_normalization_float_workload.xhtml b/20.02/classarmnn_1_1_neon_l2_normalization_float_workload.xhtml new file mode 100644 index 0000000000..8b1d0b86ea --- /dev/null +++ b/20.02/classarmnn_1_1_neon_l2_normalization_float_workload.xhtml @@ -0,0 +1,248 @@ + + + + + + + + + + + + + +ArmNN: NeonL2NormalizationFloatWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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NeonL2NormalizationFloatWorkload Class Reference
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#include <NeonL2NormalizationFloatWorkload.hpp>

+
+Inheritance diagram for NeonL2NormalizationFloatWorkload:
+
+
+ + +TypedWorkload< QueueDescriptor, DataTypes > +BaseWorkload< QueueDescriptor > +IWorkload + +
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+Public Member Functions

 NeonL2NormalizationFloatWorkload (const L2NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
virtual void Execute () const override
 
- Public Member Functions inherited from TypedWorkload< QueueDescriptor, DataTypes >
 TypedWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
 
- Public Member Functions inherited from BaseWorkload< QueueDescriptor >
 BaseWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const QueueDescriptorGetData () 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< QueueDescriptor >
const QueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 23 of file NeonL2NormalizationFloatWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonL2NormalizationFloatWorkload()

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NeonL2NormalizationFloatWorkload (const L2NormalizationQueueDescriptordescriptor,
const WorkloadInfoinfo,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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Definition at line 30 of file NeonL2NormalizationFloatWorkload.cpp.

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

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32  : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
33 {
34  m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1);
35 
36  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
37  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
38 
39  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
40  input.info()->set_data_layout(aclDataLayout);
41  output.info()->set_data_layout(aclDataLayout);
42 
43  int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
44 
45  auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);
46  layer->configure(&input, &output, axis, m_Data.m_Parameters.m_Eps);
47  m_Layer.reset(layer.release());
48 }
DataLayout
Definition: Types.hpp:49
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const QueueDescriptor m_Data
Definition: Workload.hpp:46
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void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
+
std::vector< ITensorHandle * > m_Outputs
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std::vector< ITensorHandle * > m_Inputs
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Member Function Documentation

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◆ Execute()

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void Execute () const
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+overridevirtual
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Implements IWorkload.

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Definition at line 50 of file NeonL2NormalizationFloatWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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51 {
52  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute");
53  m_Layer->run();
54 }
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1