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 --- ...1_1_cl_batch_normalization_float_workload.xhtml | 249 +++++++++++++++++++++ 1 file changed, 249 insertions(+) create mode 100644 21.02/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml (limited to '21.02/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml') diff --git a/21.02/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml b/21.02/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml new file mode 100644 index 0000000000..0504ad9cd9 --- /dev/null +++ b/21.02/classarmnn_1_1_cl_batch_normalization_float_workload.xhtml @@ -0,0 +1,249 @@ + + + + + + + + + + + + + +ArmNN: ClBatchNormalizationFloatWorkload Class Reference + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  21.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+Public Member Functions | +List of all members
+
+
ClBatchNormalizationFloatWorkload Class Reference
+
+
+ +

#include <ClBatchNormalizationFloatWorkload.hpp>

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

+Public Member Functions

 ClBatchNormalizationFloatWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
 
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

+
+

Definition at line 25 of file ClBatchNormalizationFloatWorkload.hpp.

+

Constructor & Destructor Documentation

+ +

◆ ClBatchNormalizationFloatWorkload()

+ +
+
+ + + + + + + + + + + + + + + + + + + + + + + + +
ClBatchNormalizationFloatWorkload (const BatchNormalizationQueueDescriptor & descriptor,
const WorkloadInfo & info,
const arm_compute::CLCompileContext & clCompileContext 
)
+
+ +

Definition at line 54 of file ClBatchNormalizationFloatWorkload.cpp.

+
58  : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
59 {
60  m_Mean = std::make_unique<arm_compute::CLTensor>();
61  BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
62 
63  m_Variance = std::make_unique<arm_compute::CLTensor>();
64  BuildArmComputeTensor(*m_Variance, m_Data.m_Variance->GetTensorInfo());
65 
66  m_Gamma = std::make_unique<arm_compute::CLTensor>();
67  BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo());
68 
69  m_Beta = std::make_unique<arm_compute::CLTensor>();
70  BuildArmComputeTensor(*m_Beta, m_Data.m_Beta->GetTensorInfo());
71 
72  m_Data.ValidateInputsOutputs("ClBatchNormalizationFloatWorkload", 1, 1);
73 
74  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
75  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
76 
77  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
78  input.info()->set_data_layout(aclDataLayout);
79  output.info()->set_data_layout(aclDataLayout);
80 
81  const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
82 
83  m_Layer.configure(clCompileContext,
84  &input,
85  &output,
86  m_Mean.get(),
87  m_Variance.get(),
88  m_Beta.get(),
89  m_Gamma.get(),
90  m_Data.m_Parameters.m_Eps,
91  activationInfo);
92 
93  InitializeArmComputeClTensorData(*m_Mean, m_Data.m_Mean);
94  InitializeArmComputeClTensorData(*m_Variance, m_Data.m_Variance);
95  InitializeArmComputeClTensorData(*m_Beta, m_Data.m_Beta);
96  InitializeArmComputeClTensorData(*m_Gamma, m_Data.m_Gamma);
97 
98  // Force Compute Library to perform the necessary copying and reshaping, after which
99  // delete all the input tensors that will no longer be needed
100  m_Layer.prepare();
101  FreeUnusedTensors();
102 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:50
+
armnn::InitializeArmComputeClTensorData
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
Definition: ClWorkloadUtils.hpp:90
+
armnn::BaseWorkload::m_Data
const QueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::ConvertAdditionalInfoToAclActivationLayerInfo
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
Definition: ArmComputeUtils.hpp:93
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
+
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
+
+
+
+

Member Function Documentation

+ +

◆ Execute()

+ +
+
+ + + + + +
+ + + + + + + +
void Execute () const
+ 		+overridevirtual
+
+ +

Implements IWorkload.

+ +

Definition at line 104 of file ClBatchNormalizationFloatWorkload.cpp.

+ +

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

+
105 {
106  ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchNormalizationFloatWorkload_Execute");
107  RunClFunction(m_Layer, CHECK_LOCATION());
108 }
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
+
armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:134
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
+
+
+
+
The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1