ArmNN
 21.02
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 QueueDescriptorGetData () 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 
94  InitializeArmComputeClTensorData(*m_Variance, m_Data.m_Variance);
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 }
DataLayout
Definition: Types.hpp:50
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
const QueueDescriptor m_Data
Definition: Workload.hpp:46
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

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 }
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197

The documentation for this class was generated from the following files: