From 4840dfb7543d66652dc11c5ff39c8f5c1e2f9370 Mon Sep 17 00:00:00 2001 From: Ryan OShea Date: Tue, 25 Aug 2020 12:35:58 +0100 Subject: Updating Doxygen Documentation for 20.08 release Signed-off-by: Ryan OShea Change-Id: I605409f8720de5353feceb161b39f8a5f0598180 --- ...1_1_cl_batch_normalization_float_workload.xhtml | 242 +++++++++++++++++++++ 1 file changed, 242 insertions(+) create mode 100644 20.08/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml (limited to '20.08/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml') diff --git a/20.08/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml b/20.08/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml new file mode 100644 index 0000000000..6024a78d28 --- /dev/null +++ b/20.08/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml @@ -0,0 +1,242 @@ + + + + + + + + + + + + + +ArmNN: ClBatchNormalizationFloatWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  20.08 +
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+Public Member Functions | +List of all members
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ClBatchNormalizationFloatWorkload Class Reference
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+ +

#include <ClBatchNormalizationFloatWorkload.hpp>

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

 ClBatchNormalizationFloatWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
 
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 QueueDescriptor & 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< QueueDescriptor >
const QueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 24 of file ClBatchNormalizationFloatWorkload.hpp.

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Constructor & Destructor Documentation

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◆ ClBatchNormalizationFloatWorkload()

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ClBatchNormalizationFloatWorkload (const BatchNormalizationQueueDescriptor & descriptor,
const WorkloadInfo & info 
)
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+ +

Definition at line 48 of file ClBatchNormalizationFloatWorkload.cpp.

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50  : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
51 {
52  m_Mean = std::make_unique<arm_compute::CLTensor>();
53  BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
54 
55  m_Variance = std::make_unique<arm_compute::CLTensor>();
56  BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
57 
58  m_Gamma = std::make_unique<arm_compute::CLTensor>();
59  BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
60 
61  m_Beta = std::make_unique<arm_compute::CLTensor>();
62  BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
63 
64  m_Data.ValidateInputsOutputs("ClBatchNormalizationFloatWorkload", 1, 1);
65 
66  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
67  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
68 
69  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
70  input.info()->set_data_layout(aclDataLayout);
71  output.info()->set_data_layout(aclDataLayout);
72 
73  m_Layer.configure(&input,
74  &output,
75  m_Mean.get(),
76  m_Variance.get(),
77  m_Beta.get(),
78  m_Gamma.get(),
79  m_Data.m_Parameters.m_Eps);
80 
81  InitializeArmComputeClTensorData(*m_Mean, m_Data.m_Mean);
82  InitializeArmComputeClTensorData(*m_Variance, m_Data.m_Variance);
83  InitializeArmComputeClTensorData(*m_Beta, m_Data.m_Beta);
84  InitializeArmComputeClTensorData(*m_Gamma, m_Data.m_Gamma);
85 
86  // Force Compute Library to perform the necessary copying and reshaping, after which
87  // delete all the input tensors that will no longer be needed
88  m_Layer.prepare();
89  FreeUnusedTensors();
90 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
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armnn::InitializeArmComputeClTensorData
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
Definition: ClWorkloadUtils.hpp:90
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armnn::BaseWorkload::m_Data
const QueueDescriptor 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:460
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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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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 92 of file ClBatchNormalizationFloatWorkload.cpp.

+ +

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

+
93 {
94  ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchNormalizationFloatWorkload_Execute");
95  RunClFunction(m_Layer, CHECK_LOCATION());
96 }
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:134
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CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1