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 --- ...1_1_neon_transpose_convolution2d_workload.xhtml | 250 +++++++++++++++++++++ 1 file changed, 250 insertions(+) create mode 100644 20.02/classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml (limited to '20.02/classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml') diff --git a/20.02/classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml b/20.02/classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml new file mode 100644 index 0000000000..8f50246954 --- /dev/null +++ b/20.02/classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml @@ -0,0 +1,250 @@ + + + + + + + + + + + + + +ArmNN: NeonTransposeConvolution2dWorkload Class Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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+Public Member Functions | +List of all members
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NeonTransposeConvolution2dWorkload Class Reference
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#include <NeonTransposeConvolution2dWorkload.hpp>

+
+Inheritance diagram for NeonTransposeConvolution2dWorkload:
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+ + +BaseWorkload< TransposeConvolution2dQueueDescriptor > +IWorkload + +
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+Public Member Functions

 NeonTransposeConvolution2dWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< TransposeConvolution2dQueueDescriptor >
 BaseWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const TransposeConvolution2dQueueDescriptor & 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< TransposeConvolution2dQueueDescriptor >
const TransposeConvolution2dQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
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Detailed Description

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Definition at line 27 of file NeonTransposeConvolution2dWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonTransposeConvolution2dWorkload()

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NeonTransposeConvolution2dWorkload (const TransposeConvolution2dQueueDescriptor & descriptor,
const WorkloadInfo & info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > & memoryManager 
)
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+ +

Definition at line 56 of file NeonTransposeConvolution2dWorkload.cpp.

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References BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptor::ValidateInputsOutputs().

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59  : BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
60 {
61  m_Data.ValidateInputsOutputs("NeonTransposeConvolution2dWorkload", 1, 1);
62 
63  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
64  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
65 
66  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
67  input.info()->set_data_layout(aclDataLayout);
68  output.info()->set_data_layout(aclDataLayout);
69 
70  m_KernelTensor = std::make_unique<arm_compute::Tensor>();
71  BuildArmComputeTensor(*m_KernelTensor, m_Data.m_Weight->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
72 
73  if (m_Data.m_Parameters.m_BiasEnabled)
74  {
75  m_BiasTensor = std::make_unique<arm_compute::Tensor>();
76  BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
77  }
78 
79  arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
80 
81  m_Layer = std::make_unique<arm_compute::NEDeconvolutionLayer>(memoryManager);
82  m_Layer->configure(&input, m_KernelTensor.get(), m_BiasTensor.get(), &output, padStrideInfo);
83 
84  BOOST_ASSERT(m_Layer);
85 
86  InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight);
87 
88  if (m_Data.m_Parameters.m_BiasEnabled)
89  {
90  InitializeArmComputeTensorData(*m_BiasTensor, m_Data.m_Bias);
91  }
92 
93  m_Layer->prepare();
94  FreeUnusedTensors();
95 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
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armnn::TransposeConvolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:1117
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armnn::BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data
const TransposeConvolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
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armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
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armnn::TransposeConvolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1119
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armnn::InitializeArmComputeTensorData
void InitializeArmComputeTensorData(arm_compute::Tensor &tensor, const ConstCpuTensorHandle *handle)
Definition: NeonWorkloadUtils.hpp:35
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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 97 of file NeonTransposeConvolution2dWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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98 {
99  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonTransposeConvolution2dWorkload_Execute");
100  m_Layer->run();
101 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
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The documentation for this class was generated from the following files: +
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+ + + + -- cgit v1.2.1