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 --- ...mnn_1_1_neon_batch_normalization_workload.xhtml | 247 +++++++++++++++++++++ 1 file changed, 247 insertions(+) create mode 100644 21.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml (limited to '21.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml') diff --git a/21.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml b/21.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml new file mode 100644 index 0000000000..9b8bf883a1 --- /dev/null +++ b/21.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml @@ -0,0 +1,247 @@ + + + + + + + + + + + + + +ArmNN: NeonBatchNormalizationWorkload Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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+Public Member Functions | +List of all members
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NeonBatchNormalizationWorkload Class Reference
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+ +

#include <NeonBatchNormalizationWorkload.hpp>

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

 NeonBatchNormalizationWorkload (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 &)
 
+ + + + + + +

+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 27 of file NeonBatchNormalizationWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonBatchNormalizationWorkload()

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

Definition at line 59 of file NeonBatchNormalizationWorkload.cpp.

+ +

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

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61  : BaseWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
62 {
63  m_Data.ValidateInputsOutputs("NeonBatchNormalizationWorkload", 1, 1);
64 
65  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
66  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
67 
68  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
69  input.info()->set_data_layout(aclDataLayout);
70  output.info()->set_data_layout(aclDataLayout);
71 
72  m_Mean = std::make_unique<arm_compute::Tensor>();
73  BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
74 
75  m_Variance = std::make_unique<arm_compute::Tensor>();
76  BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
77 
78  m_Gamma = std::make_unique<arm_compute::Tensor>();
79  BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
80 
81  m_Beta = std::make_unique<arm_compute::Tensor>();
82  BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
83 
84  const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
85 
86  auto layer = std::make_unique<arm_compute::NEBatchNormalizationLayer>();
87  layer->configure(&input,
88  &output,
89  m_Mean.get(),
90  m_Variance.get(),
91  m_Beta.get(),
92  m_Gamma.get(),
93  m_Data.m_Parameters.m_Eps,
94  activationInfo);
95  m_Layer.reset(layer.release());
96 
97  InitializeArmComputeTensorData(*m_Mean, m_Data.m_Mean);
98  InitializeArmComputeTensorData(*m_Variance, m_Data.m_Variance);
99  InitializeArmComputeTensorData(*m_Gamma, m_Data.m_Gamma);
100  InitializeArmComputeTensorData(*m_Beta, m_Data.m_Beta);
101 
102  // Force Compute Library to perform the necessary copying and reshaping, after which
103  // delete all the input tensors that will no longer be needed
104  m_Layer->prepare();
105  FreeUnusedTensors();
106 }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:306
+
armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:305
+
armnn::DataLayout
DataLayout
Definition: Types.hpp:50
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armnn::BaseWorkload< BatchNormalizationQueueDescriptor >::m_Data
const BatchNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:46
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armnn::BatchNormalizationQueueDescriptor::m_Mean
const ConstCpuTensorHandle * m_Mean
Definition: WorkloadData.hpp:303
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armnn::ConvertAdditionalInfoToAclActivationLayerInfo
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
Definition: ArmComputeUtils.hpp:93
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armnn::BatchNormalizationDescriptor::m_Eps
float m_Eps
Value to add to the variance. Used to avoid dividing by zero.
Definition: Descriptors.hpp:639
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armnn::BatchNormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:641
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armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:304
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
+ +
armnn::InitializeArmComputeTensorData
void InitializeArmComputeTensorData(arm_compute::Tensor &tensor, const ConstCpuTensorHandle *handle)
Definition: NeonWorkloadUtils.hpp:35
+
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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armnn::ConstCpuTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: CpuTensorHandle.hpp:37
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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 108 of file NeonBatchNormalizationWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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109 {
110  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonBatchNormalizationWorkload_Execute");
111  m_Layer->run();
112 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
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The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1