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 --- ...armnn_1_1_neon_space_to_batch_nd_workload.xhtml | 242 +++++++++++++++++++++ 1 file changed, 242 insertions(+) create mode 100644 20.02/classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml (limited to '20.02/classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml') diff --git a/20.02/classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml b/20.02/classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml new file mode 100644 index 0000000000..a2842ef17b --- /dev/null +++ b/20.02/classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml @@ -0,0 +1,242 @@ + + + + + + + + + + + + + +ArmNN: NeonSpaceToBatchNdWorkload Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  20.02 +
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+Public Member Functions | +List of all members
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NeonSpaceToBatchNdWorkload Class Reference
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#include <NeonSpaceToBatchNdWorkload.hpp>

+
+Inheritance diagram for NeonSpaceToBatchNdWorkload:
+
+
+ + +BaseWorkload< SpaceToBatchNdQueueDescriptor > +IWorkload + +
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+Public Member Functions

 NeonSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< SpaceToBatchNdQueueDescriptor >
 BaseWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const SpaceToBatchNdQueueDescriptor & 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< SpaceToBatchNdQueueDescriptor >
const SpaceToBatchNdQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 
+

Detailed Description

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+

Definition at line 22 of file NeonSpaceToBatchNdWorkload.hpp.

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Constructor & Destructor Documentation

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◆ NeonSpaceToBatchNdWorkload()

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NeonSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor & descriptor,
const WorkloadInfo & info 
)
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+ +

Definition at line 40 of file NeonSpaceToBatchNdWorkload.cpp.

+ +

References SpaceToBatchNdDescriptor::m_BlockShape, BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, armnn::numeric_cast(), and QueueDescriptor::ValidateInputsOutputs().

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42  : BaseWorkload<SpaceToBatchNdQueueDescriptor>(desc, info)
43 {
44  m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);
45 
46  arm_compute::ITensor& input =
47  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
48  arm_compute::ITensor& output =
49  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
50 
51  // ArmNN blockShape is [H, W] Cl asks for W, H
52  int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
53  int32_t blockWidth = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
54 
55  arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
56  m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);
57  arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
58  m_Data.m_Parameters.m_PadList[1].second, m_Data.m_Parameters.m_PadList[0].second);
59 
60  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
61  input.info()->set_data_layout(aclDataLayout);
62  output.info()->set_data_layout(aclDataLayout);
63 
64  m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
65  m_Layer->configure(&input,
66  blockWidth,
67  blockHeight,
68  paddingLeftTop,
69  paddingRightBottom,
70  &output);
71  m_Layer->prepare();
72 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
+
armnn::BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data
const SpaceToBatchNdQueueDescriptor 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
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armnn::SpaceToBatchNdDescriptor::m_PadList
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}.
Definition: Descriptors.hpp:804
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armnn::SpaceToBatchNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:806
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armnn::numeric_cast
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:33
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armnn::SpaceToBatchNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape value.
Definition: Descriptors.hpp:801
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armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
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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
+ 		+overridevirtual
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Implements IWorkload.

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Definition at line 74 of file NeonSpaceToBatchNdWorkload.cpp.

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References ARMNN_SCOPED_PROFILING_EVENT_NEON.

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75 {
76  if (m_Layer)
77  {
78  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute");
79  m_Layer->run();
80  }
81 }
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