From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_space_to_depth_layer_8cpp_source.xhtml | 162 ++++++++++++++++++++++++++ 1 file changed, 162 insertions(+) create mode 100644 21.02/_space_to_depth_layer_8cpp_source.xhtml (limited to '21.02/_space_to_depth_layer_8cpp_source.xhtml') diff --git a/21.02/_space_to_depth_layer_8cpp_source.xhtml b/21.02/_space_to_depth_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..0e34213184 --- /dev/null +++ b/21.02/_space_to_depth_layer_8cpp_source.xhtml @@ -0,0 +1,162 @@ + + + + + + + + + + + + + +ArmNN: src/armnn/layers/SpaceToDepthLayer.cpp Source File + + + + + + + + + + + + + + + + +
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SpaceToDepthLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "SpaceToDepthLayer.hpp"
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
10 #include <armnn/utility/IgnoreUnused.hpp>
11 #include <armnnUtils/DataLayoutIndexed.hpp>
12 
13 #include <backendsCommon/WorkloadData.hpp>
14 #include <backendsCommon/WorkloadFactory.hpp>
15 
16 #include <numeric>
17 
18 using namespace armnnUtils;
19 
20 namespace armnn
21 {
22 
23 SpaceToDepthLayer::SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char* name)
24  : LayerWithParameters(1, 1, LayerType::SpaceToDepth, param, name)
25 {}
26 
27 std::unique_ptr<IWorkload> SpaceToDepthLayer::CreateWorkload(const IWorkloadFactory& factory) const
28 {
29  SpaceToDepthQueueDescriptor descriptor;
30  descriptor.m_Parameters.m_BlockSize = m_Param.m_BlockSize;
31  descriptor.m_Parameters.m_DataLayout = m_Param.m_DataLayout;
32 
33  SetAdditionalInfo(descriptor);
34 
35  return factory.CreateSpaceToDepth(descriptor, PrepInfoAndDesc(descriptor));
36 }
37 
38 SpaceToDepthLayer* SpaceToDepthLayer::Clone(Graph& graph) const
39 {
40  IgnoreUnused(graph);
41  return CloneBase<SpaceToDepthLayer>(graph, m_Param, GetName());
42 }
43 
44 std::vector<TensorShape> SpaceToDepthLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
45 {
46  ARMNN_ASSERT(inputShapes.size() == 1);
47 
48  TensorShape inputShape = inputShapes[0];
49  TensorShape outputShape(inputShape);
50 
51  DataLayoutIndexed dimensionIndices{m_Param.m_DataLayout};
52  unsigned int hIndex = dimensionIndices.GetHeightIndex();
53  unsigned int wIndex = dimensionIndices.GetWidthIndex();
54  unsigned int cIndex = dimensionIndices.GetChannelsIndex();
55 
56  outputShape[hIndex] = inputShape[hIndex] / m_Param.m_BlockSize;
57  outputShape[wIndex] = inputShape[wIndex] / m_Param.m_BlockSize;
58 
59  outputShape[cIndex] = inputShape[cIndex] * m_Param.m_BlockSize * m_Param.m_BlockSize;
60 
61  return std::vector<TensorShape>({ outputShape });
62 }
63 
64 void SpaceToDepthLayer::ValidateTensorShapesFromInputs()
65 {
66  VerifyLayerConnections(1, CHECK_LOCATION());
67 
68  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
69 
70  VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
71 
72  std::vector<TensorShape> inferredShapes = InferOutputShapes({
73  GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
74 
75  ARMNN_ASSERT(inferredShapes.size() == 1);
76 
77  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SpaceToDepthLayer");
78 }
79 
80 void SpaceToDepthLayer::Accept(ILayerVisitor& visitor) const
81 {
82  visitor.VisitSpaceToDepthLayer(this, GetParameters(), GetName());
83 }
84 
85 } // namespace armnn
IgnoreUnused.hpp
+
WorkloadData.hpp
+
armnn::SpaceToDepthLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SpaceToDepthLayer.
Definition: SpaceToDepthLayer.cpp:64
+
DataLayoutIndexed.hpp
+
armnn::LayerWithParameters< SpaceToDepthDescriptor >::m_Param
SpaceToDepthDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50
+
armnn::LayerWithParameters< SpaceToDepthDescriptor >::GetParameters
const SpaceToDepthDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
+
armnn::SpaceToDepthLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: SpaceToDepthLayer.cpp:80
+
WorkloadFactory.hpp
+ +
armnn::ILayerVisitor::VisitSpaceToDepthLayer
virtual void VisitSpaceToDepthLayer(const IConnectableLayer *layer, const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)=0
Function a space to depth layer should call back to when its Accept(ILayerVisitor&) function is invok...
+
armnn::SpaceToDepthLayer
This layer represents a SpaceToDepth operation.
Definition: SpaceToDepthLayer.hpp:14
+
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6
+
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
+ +
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
armnn::SpaceToDepthDescriptor
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
Definition: Descriptors.hpp:884
+ +
armnn::SpaceToDepthLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the SpaceToDepth type.
Definition: SpaceToDepthLayer.cpp:27
+
armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:392
+ +
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
+
TypesUtils.hpp
+
armnnUtils::DataLayoutIndexed
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
Definition: DataLayoutIndexed.hpp:17
+
armnn::SpaceToDepthLayer::Clone
SpaceToDepthLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: SpaceToDepthLayer.cpp:38
+
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
+ +
armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:901
+
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
+
armnn::IWorkloadFactory::CreateSpaceToDepth
virtual std::unique_ptr< IWorkload > CreateSpaceToDepth(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1662
+
armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:904
+
armnn::LayerWithParameters< SpaceToDepthDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43
+ + +
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
+
armnn::SpaceToDepth
void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
Definition: SpaceToDepth.cpp:36
+
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
+ +
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
+
armnn::SpaceToDepthLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.
Definition: SpaceToDepthLayer.cpp:44
+
SpaceToDepthLayer.hpp
+
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
+
armnn::SpaceToDepthLayer::SpaceToDepthLayer
SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char *name)
Constructor to create a SpaceToDepthLayer.
Definition: SpaceToDepthLayer.cpp:23
+
LayerCloneBase.hpp
+
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:419
+
+
+ + + + -- cgit v1.2.1