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 --- .../classarmnn_1_1_ref_elementwise_workload.xhtml | 313 +++++++++++++++++++++ 1 file changed, 313 insertions(+) create mode 100644 21.02/classarmnn_1_1_ref_elementwise_workload.xhtml (limited to '21.02/classarmnn_1_1_ref_elementwise_workload.xhtml') diff --git a/21.02/classarmnn_1_1_ref_elementwise_workload.xhtml b/21.02/classarmnn_1_1_ref_elementwise_workload.xhtml new file mode 100644 index 0000000000..70a6b4b5ca --- /dev/null +++ b/21.02/classarmnn_1_1_ref_elementwise_workload.xhtml @@ -0,0 +1,313 @@ + + + + + + + + + + + + + +ArmNN: RefElementwiseWorkload< Functor, ParentDescriptor, DebugString > Class Template Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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+Public Types | +Public Member Functions | +List of all members
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RefElementwiseWorkload< Functor, ParentDescriptor, DebugString > Class Template Reference
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+ +

#include <RefElementwiseWorkload.hpp>

+
+Inheritance diagram for RefElementwiseWorkload< Functor, ParentDescriptor, DebugString >:
+
+
+ + +BaseWorkload< ParentDescriptor > +IWorkload + +
+ + + + + + +

+Public Types

using InType = typename ElementwiseBinaryFunction< Functor >::InType
 
using OutType = typename ElementwiseBinaryFunction< Functor >::OutType
 
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+Public Member Functions

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

Detailed Description

+

template<typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
+class armnn::RefElementwiseWorkload< Functor, ParentDescriptor, DebugString >

+ + +

Definition at line 21 of file RefElementwiseWorkload.hpp.

+

Member Typedef Documentation

+ +

◆ InType

+ +
+
+ + + + +
using InType = typename ElementwiseBinaryFunction<Functor>::InType
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+ +

Definition at line 24 of file RefElementwiseWorkload.hpp.

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◆ OutType

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using OutType = typename ElementwiseBinaryFunction<Functor>::OutType
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Definition at line 25 of file RefElementwiseWorkload.hpp.

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+

Constructor & Destructor Documentation

+ +

◆ RefElementwiseWorkload()

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RefElementwiseWorkload (const ParentDescriptor & descriptor,
const WorkloadInfo & info 
)
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+ +

Definition at line 21 of file RefElementwiseWorkload.cpp.

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24  : BaseWorkload<ParentDescriptor>(desc, info)
25 {
26 }
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+

Member Function Documentation

+ +

◆ Execute()

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void Execute () const
+ 		+overridevirtual
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+ +

Implements IWorkload.

+ +

Definition at line 41 of file RefElementwiseWorkload.cpp.

+ +

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, TensorInfo::GetShape(), armnn::GetTensorInfo(), StringMapping::Instance(), BaseWorkload< ParentDescriptor >::m_Data, StringMapping::RefAdditionWorkload_Execute, StringMapping::RefDivisionWorkload_Execute, StringMapping::RefMaximumWorkload_Execute, StringMapping::RefMinimumWorkload_Execute, StringMapping::RefMultiplicationWorkload_Execute, and StringMapping::RefSubtractionWorkload_Execute.

+
42 {
43  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, StringMapping::Instance().Get(DebugString));
44  const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
45  const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
46  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
47 
48  const TensorShape& inShape0 = inputInfo0.GetShape();
49  const TensorShape& inShape1 = inputInfo1.GetShape();
50  const TensorShape& outShape = outputInfo.GetShape();
51 
52  m_Input0->Reset(m_Data.m_Inputs[0]->Map());
53  m_Input1->Reset(m_Data.m_Inputs[1]->Map());
54  m_Output->Reset(m_Data.m_Outputs[0]->Map());
55 
56  ElementwiseBinaryFunction<Functor>(inShape0,
57  inShape1,
58  outShape,
59  *m_Input0,
60  *m_Input1,
61  *m_Output);
62 }
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
+ +
armnn::StringMapping::Instance
static const StringMapping & Instance()
Definition: StringMapping.cpp:11
+
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:26
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+ +

◆ PostAllocationConfigure()

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void PostAllocationConfigure ()
+ 		+overridevirtual
+
+ +

Implements IWorkload.

+ +

Definition at line 29 of file RefElementwiseWorkload.cpp.

+ +

References armnn::GetTensorInfo(), and BaseWorkload< ParentDescriptor >::m_Data.

+
30 {
31  const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
32  const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
33  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
34 
35  m_Input0 = MakeDecoder<InType>(inputInfo0);
36  m_Input1 = MakeDecoder<InType>(inputInfo1);
37  m_Output = MakeEncoder<OutType>(outputInfo);
38 }
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:26
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+
+
The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1