From add078b7f9a658d52ee6e8fe6771ea0517c07674 Mon Sep 17 00:00:00 2001 From: mathad01 Date: Mon, 10 May 2021 16:51:20 +0100 Subject: IVGCVSW-5908 Update 21.05 Doxygen Documents Signed-off-by: mathad01 Change-Id: I95316d4fc5f9d10185492dc835bb2411c1daea7b --- .../classarmnn_1_1_cl_convolution2d_workload.xhtml | 290 +++++++++++++++++++++ 1 file changed, 290 insertions(+) create mode 100644 21.05/classarmnn_1_1_cl_convolution2d_workload.xhtml (limited to '21.05/classarmnn_1_1_cl_convolution2d_workload.xhtml') diff --git a/21.05/classarmnn_1_1_cl_convolution2d_workload.xhtml b/21.05/classarmnn_1_1_cl_convolution2d_workload.xhtml new file mode 100644 index 0000000000..5ede293262 --- /dev/null +++ b/21.05/classarmnn_1_1_cl_convolution2d_workload.xhtml @@ -0,0 +1,290 @@ + + + + + + + + + + + + + +ArmNN: ClConvolution2dWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  21.05 +
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+Public Member Functions | +List of all members
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ClConvolution2dWorkload Class Reference
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#include <ClConvolution2dWorkload.hpp>

+
+Inheritance diagram for ClConvolution2dWorkload:
+
+
+ + +BaseWorkload< Convolution2dQueueDescriptor > +IWorkload + +
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+Public Member Functions

 ClConvolution2dWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext, const bool isFastMathEnabled=false)
 
void Execute () const override
 
arm_compute::ConvolutionMethod GetConvolutionMethod () const
 
- Public Member Functions inherited from BaseWorkload< Convolution2dQueueDescriptor >
 BaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const Convolution2dQueueDescriptor & 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< Convolution2dQueueDescriptor >
Convolution2dQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 29 of file ClConvolution2dWorkload.hpp.

+

Constructor & Destructor Documentation

+ +

◆ ClConvolution2dWorkload()

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ClConvolution2dWorkload (const Convolution2dQueueDescriptor & descriptor,
const WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager,
const arm_compute::CLCompileContext & clCompileContext,
const bool isFastMathEnabled = false 
)
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+ +

Definition at line 65 of file ClConvolution2dWorkload.cpp.

+ +

References ConstTensorHandle::GetTensorInfo(), BaseWorkload< Convolution2dQueueDescriptor >::m_Data, and Convolution2dQueueDescriptor::m_Weight.

+
70  : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
71  , m_ConvolutionLayer(memoryManager)
72 {
73  // todo: check tensor shapes match.
74  const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
75 
76  m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
77  BuildArmComputeTensor(*m_KernelTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
78 
79  const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(m_Data.m_Parameters.m_DilationX,
80  m_Data.m_Parameters.m_DilationY);
81 
82  if (m_Data.m_Parameters.m_BiasEnabled)
83  {
84  m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
85  BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
86  }
87 
88  m_Data.ValidateInputsOutputs("ClConvolution2dWorkload", 1, 1);
89 
90  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
91  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
92 
93  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
94  input.info()->set_data_layout(aclDataLayout);
95  output.info()->set_data_layout(aclDataLayout);
96 
97  arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
98 
99  const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
100 
101  m_ConvolutionLayer.configure(clCompileContext,
102  &input,
103  m_KernelTensor.get(),
104  m_BiasTensor.get(),
105  &output,
106  padStrideInfo,
107  arm_compute::WeightsInfo(),
108  aclDilationInfo,
109  activationInfo,
110  isFastMathEnabled);
111 
112  m_ConvolutionMethod =
113  m_ConvolutionLayer.get_convolution_method(input.info(),
114  m_KernelTensor->info(),
115  output.info(),
116  padStrideInfo,
117  arm_compute::WeightsInfo(),
118  activationInfo,
119  arm_compute::CLScheduler::get().target(),
120  aclDilationInfo,
121  isFastMathEnabled);
122 
123  InitializeArmComputeClTensorData(*m_KernelTensor, m_Data.m_Weight);
124 
125  if (m_BiasTensor)
126  {
127  InitializeArmComputeClTensorData(*m_BiasTensor, m_Data.m_Bias);
128  }
129 
130  // Force Compute Library to perform the necessary copying and reshaping, after which
131  // delete all the input tensors that will no longer be needed
132  m_ConvolutionLayer.prepare();
133  FreeUnusedTensors();
134 }
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:462
+
armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:464
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armnn::DataLayout
DataLayout
Definition: Types.hpp:54
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armnn::ConvertAdditionalInfoToAclActivationLayerInfo
arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)
Definition: ArmComputeUtils.hpp:93
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armnn::Convolution2dQueueDescriptor::m_Weight
const ConstTensorHandle * m_Weight
Definition: WorkloadData.hpp:205
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armnn::Convolution2dQueueDescriptor::m_Bias
const ConstTensorHandle * m_Bias
Definition: WorkloadData.hpp:206
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armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:459
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armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:460
+ +
armnn::ConstTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: TensorHandle.hpp:37
+ +
armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:458
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armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
+ +
armnn::InitializeArmComputeClTensorData
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstTensorHandle *handle)
Definition: ClWorkloadUtils.hpp:90
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armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
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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 136 of file ClConvolution2dWorkload.cpp.

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

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137 {
138  ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvolution2dWorkload_Execute");
139  RunClFunction(m_ConvolutionLayer, CHECK_LOCATION());
140 }
ARMNN_SCOPED_PROFILING_EVENT_CL
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
Definition: ClWorkloadUtils.hpp:20
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armnn::RunClFunction
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
Definition: ClWorkloadUtils.hpp:134
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CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
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◆ GetConvolutionMethod()

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arm_compute::ConvolutionMethod GetConvolutionMethod () const
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Definition at line 142 of file ClConvolution2dWorkload.cpp.

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143 {
144  return m_ConvolutionMethod;
145 }
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The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1