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 --- ...mnn_1_1_neon_batch_normalization_workload.xhtml | 246 +++++++++++++++++++++ 1 file changed, 246 insertions(+) create mode 100644 20.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml (limited to '20.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml') diff --git a/20.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml b/20.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml new file mode 100644 index 0000000000..58685f54cf --- /dev/null +++ b/20.02/classarmnn_1_1_neon_batch_normalization_workload.xhtml @@ -0,0 +1,246 @@ + + + + + + + + + + + + + +ArmNN: NeonBatchNormalizationWorkload 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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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 26 of file NeonBatchNormalizationWorkload.hpp.

+

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 50 of file NeonBatchNormalizationWorkload.cpp.

+ +

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

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52  : BaseWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
53 {
54  m_Data.ValidateInputsOutputs("NeonBatchNormalizationWorkload", 1, 1);
55 
56  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
57  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
58 
59  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
60  input.info()->set_data_layout(aclDataLayout);
61  output.info()->set_data_layout(aclDataLayout);
62 
63  m_Mean = std::make_unique<arm_compute::Tensor>();
64  BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
65 
66  m_Variance = std::make_unique<arm_compute::Tensor>();
67  BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
68 
69  m_Gamma = std::make_unique<arm_compute::Tensor>();
70  BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
71 
72  m_Beta = std::make_unique<arm_compute::Tensor>();
73  BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
74 
75  auto layer = std::make_unique<arm_compute::NEBatchNormalizationLayer>();
76  layer->configure(&input,
77  &output,
78  m_Mean.get(),
79  m_Variance.get(),
80  m_Beta.get(),
81  m_Gamma.get(),
82  m_Data.m_Parameters.m_Eps);
83  m_Layer.reset(layer.release());
84 
85  InitializeArmComputeTensorData(*m_Mean, m_Data.m_Mean);
86  InitializeArmComputeTensorData(*m_Variance, m_Data.m_Variance);
87  InitializeArmComputeTensorData(*m_Gamma, m_Data.m_Gamma);
88  InitializeArmComputeTensorData(*m_Beta, m_Data.m_Beta);
89 
90  // Force Compute Library to perform the necessary copying and reshaping, after which
91  // delete all the input tensors that will no longer be needed
92  m_Layer->prepare();
93  FreeUnusedTensors();
94 }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:282
+
armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:281
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armnn::DataLayout
DataLayout
Definition: Types.hpp:49
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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:279
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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:623
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armnn::BatchNormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:625
+
armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:280
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
+ +
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 96 of file NeonBatchNormalizationWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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97 {
98  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonBatchNormalizationWorkload_Execute");
99  m_Layer->run();
100 }
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: +
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+ + + + -- cgit v1.2.1