From 03c7ff3f6188240baaeaeb405a357a0c58195fec Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 22 Aug 2023 12:00:04 +0100 Subject: IVGCVSW-7702 Update Doxygen Docu for 23.08 Signed-off-by: Nikhil Raj Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d --- .../classarmnn_1_1_neon_log_softmax_workload.html | 295 +++++++++++++++++++++ 1 file changed, 295 insertions(+) create mode 100644 latest/classarmnn_1_1_neon_log_softmax_workload.html (limited to 'latest/classarmnn_1_1_neon_log_softmax_workload.html') diff --git a/latest/classarmnn_1_1_neon_log_softmax_workload.html b/latest/classarmnn_1_1_neon_log_softmax_workload.html new file mode 100644 index 0000000000..03954be2b6 --- /dev/null +++ b/latest/classarmnn_1_1_neon_log_softmax_workload.html @@ -0,0 +1,295 @@ + + + + + + + + +Arm NN: NeonLogSoftmaxWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  23.08 +
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+Public Member Functions | +List of all members
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NeonLogSoftmaxWorkload Class Reference
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#include <NeonLogSoftmaxWorkload.hpp>

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+Inheritance diagram for NeonLogSoftmaxWorkload:
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+Collaboration diagram for NeonLogSoftmaxWorkload:
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+Public Member Functions

 NeonLogSoftmaxWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
virtual void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< LogSoftmaxQueueDescriptor >
 NeonBaseWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
- Public Member Functions inherited from BaseWorkload< LogSoftmaxQueueDescriptor >
 BaseWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const LogSoftmaxQueueDescriptor & GetData () const
 
arm::pipe::ProfilingGuid GetGuid () const final
 
virtual bool SupportsTensorHandleReplacement () const override
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual arm::pipe::ProfilingGuid GetGuid () const =0
 
virtual bool SupportsTensorHandleReplacement () const =0
 
virtual const std::string & GetName () const =0
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 
virtual armnn::Optional< armnn::MemoryRequirements > GetMemoryRequirements ()
 
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+Additional Inherited Members

- Protected Member Functions inherited from NeonBaseWorkload< LogSoftmaxQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< LogSoftmaxQueueDescriptor >
LogSoftmaxQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 
const std::string m_Name
 
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Detailed Description

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Definition at line 24 of file NeonLogSoftmaxWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonLogSoftmaxWorkload()

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NeonLogSoftmaxWorkload (const LogSoftmaxQueueDescriptor & descriptor,
const WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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Definition at line 33 of file NeonLogSoftmaxWorkload.cpp.

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36  : NeonBaseWorkload<LogSoftmaxQueueDescriptor>(descriptor, info)
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37 {
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38  // Report Profiling Details
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39  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonLogSoftmaxWorkload_Construct",
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40  descriptor.m_Parameters,
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41  info,
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42  this->GetGuid());
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44  m_Data.ValidateInputsOutputs("NeonLogSoftmaxWorkload", 1, 1);
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45 
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46  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
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47  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
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48 
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49  auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
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50  int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
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51  layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
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52  m_LogSoftmaxLayer.reset(layer.release());
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53 }
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References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::ComputeAclAxis(), armnn::info, SoftmaxDescriptor::m_Axis, SoftmaxDescriptor::m_Beta, BaseWorkload< LogSoftmaxQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and QueueDescriptor::ValidateInputsOutputs().

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Member Function Documentation

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◆ Execute()

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void Execute () const
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Implements IWorkload.

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Definition at line 55 of file NeonLogSoftmaxWorkload.cpp.

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56 {
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57  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonLogSoftmaxWorkload_Execute");
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58  m_LogSoftmaxLayer->run();
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59 }
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References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.

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The documentation for this class was generated from the following files: +
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armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:446
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armnn::SoftmaxDescriptor::m_Beta
float m_Beta
Exponentiation value.
Definition: Descriptors.hpp:190
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armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
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ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
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armnn::SoftmaxDescriptor::m_Axis
int m_Axis
Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...
Definition: Descriptors.hpp:192
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ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:32
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armnn::ComputeAclAxis
int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)
Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...
Definition: ArmComputeUtils.hpp:264
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armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
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