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 --- ...rmnn_1_1_ref_batch_normalization_workload.xhtml | 245 +++++++++++++++++++++ 1 file changed, 245 insertions(+) create mode 100644 20.02/classarmnn_1_1_ref_batch_normalization_workload.xhtml (limited to '20.02/classarmnn_1_1_ref_batch_normalization_workload.xhtml') diff --git a/20.02/classarmnn_1_1_ref_batch_normalization_workload.xhtml b/20.02/classarmnn_1_1_ref_batch_normalization_workload.xhtml new file mode 100644 index 0000000000..9b044e3b16 --- /dev/null +++ b/20.02/classarmnn_1_1_ref_batch_normalization_workload.xhtml @@ -0,0 +1,245 @@ + + + + + + + + + + + + + +ArmNN: RefBatchNormalizationWorkload 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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+
RefBatchNormalizationWorkload Class Reference
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#include <RefBatchNormalizationWorkload.hpp>

+
+Inheritance diagram for RefBatchNormalizationWorkload:
+
+
+ + +BaseWorkload< BatchNormalizationQueueDescriptor > +IWorkload + +
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+Public Member Functions

 RefBatchNormalizationWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< BatchNormalizationQueueDescriptor >
 BaseWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const BatchNormalizationQueueDescriptor & 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< BatchNormalizationQueueDescriptor >
const BatchNormalizationQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 14 of file RefBatchNormalizationWorkload.hpp.

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Constructor & Destructor Documentation

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◆ RefBatchNormalizationWorkload()

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RefBatchNormalizationWorkload (const BatchNormalizationQueueDescriptor & descriptor,
const WorkloadInfo & info 
)
+ 		+explicit
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+ +

Definition at line 16 of file RefBatchNormalizationWorkload.cpp.

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18  : BaseWorkload(descriptor, info)
19  , m_Mean (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean)))
20  , m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance)))
21  , m_Beta (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta)))
22  , m_Gamma (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma)))
23 {}
armnn::BaseWorkload< BatchNormalizationQueueDescriptor >::BaseWorkload
BaseWorkload(const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: Workload.hpp:32
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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 25 of file RefBatchNormalizationWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT, armnn::BatchNormImpl(), armnn::CpuRef, armnn::GetTensorInfo(), BaseWorkload< BatchNormalizationQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

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26 {
27  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");
28 
29  std::unique_ptr<Decoder<float>> meanDecoder = MakeDecoder<float>(m_Mean->GetTensorInfo(),
30  m_Mean->Map(true));
31  std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(m_Variance->GetTensorInfo(),
32  m_Variance->Map(true));
33  std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(m_Gamma->GetTensorInfo(),
34  m_Gamma->Map(true));
35  std::unique_ptr<Decoder<float>> betaDecoder = MakeDecoder<float>(m_Beta->GetTensorInfo(),
36  m_Beta->Map(true));
37  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
38  m_Data.m_Inputs[0]->Map());
39  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
40  m_Data.m_Outputs[0]->Map());
41 
42  BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
43 }
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
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armnn::BaseWorkload< BatchNormalizationQueueDescriptor >::m_Data
const BatchNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:46
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armnn::BatchNormImpl
void BatchNormImpl(const BatchNormalizationQueueDescriptor &data, Decoder< float > &meanDecoder, Decoder< float > &varianceDecoder, Decoder< float > &betaDecoder, Decoder< float > &gammaDecoder, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)
Definition: BatchNormImpl.cpp:18
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:25
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ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
+
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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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1