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 --- .../classarmnn_1_1_cl_convolution2d_workload.xhtml | 254 +++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 20.02/classarmnn_1_1_cl_convolution2d_workload.xhtml (limited to '20.02/classarmnn_1_1_cl_convolution2d_workload.xhtml') diff --git a/20.02/classarmnn_1_1_cl_convolution2d_workload.xhtml b/20.02/classarmnn_1_1_cl_convolution2d_workload.xhtml new file mode 100644 index 0000000000..5955c69360 --- /dev/null +++ b/20.02/classarmnn_1_1_cl_convolution2d_workload.xhtml @@ -0,0 +1,254 @@ + + + + + + + + + + + + + +ArmNN: ClConvolution2dWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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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)
 
void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< Convolution2dQueueDescriptor >
 BaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
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 >
const Convolution2dQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 27 of file ClConvolution2dWorkload.hpp.

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Constructor & Destructor Documentation

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◆ ClConvolution2dWorkload()

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ClConvolution2dWorkload (const Convolution2dQueueDescriptor & descriptor,
const WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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+ +

Definition at line 58 of file ClConvolution2dWorkload.cpp.

+ +

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

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60  : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
61  , m_ConvolutionLayer(memoryManager)
62 {
63  // todo: check tensor shapes match.
64  const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
65 
66  m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
67  BuildArmComputeTensor(*m_KernelTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
68 
69  const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(m_Data.m_Parameters.m_DilationX,
70  m_Data.m_Parameters.m_DilationY);
71 
72  if (m_Data.m_Parameters.m_BiasEnabled)
73  {
74  m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
75  BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
76  }
77 
78  m_Data.ValidateInputsOutputs("ClConvolution2dWorkload", 1, 1);
79 
80  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
81  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
82 
83  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
84  input.info()->set_data_layout(aclDataLayout);
85  output.info()->set_data_layout(aclDataLayout);
86 
87  arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
88 
89  m_ConvolutionLayer.configure(&input,
90  m_KernelTensor.get(),
91  m_BiasTensor.get(),
92  &output,
93  padStrideInfo,
94  arm_compute::WeightsInfo(),
95  aclDilationInfo);
96 
97  InitializeArmComputeClTensorData(*m_KernelTensor, m_Data.m_Weight);
98 
99  if (m_BiasTensor)
100  {
101  InitializeArmComputeClTensorData(*m_BiasTensor, m_Data.m_Bias);
102  }
103 
104  // Force Compute Library to perform the necessary copying and reshaping, after which
105  // delete all the input tensors that will no longer be needed
106  m_ConvolutionLayer.prepare();
107  FreeUnusedTensors();
108 }
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:438
+
armnn::Convolution2dQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:177
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armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:440
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armnn::DataLayout
DataLayout
Definition: Types.hpp:49
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armnn::InitializeArmComputeClTensorData
void InitializeArmComputeClTensorData(arm_compute::CLTensor &clTensor, const ConstCpuTensorHandle *handle)
Definition: ClWorkloadUtils.hpp:90
+
armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data
const Convolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
+
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
+
armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:436
+ +
armnn::Convolution2dQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:176
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armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:434
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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
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Implements IWorkload.

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Definition at line 110 of file ClConvolution2dWorkload.cpp.

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

+
111 {
112  ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvolution2dWorkload_Execute");
113  RunClFunction(m_ConvolutionLayer, CHECK_LOCATION());
114 }
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:131
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CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1