From 03c7ff3f6188240baaeaeb405a357a0c58195fec Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 22 Aug 2023 12:00:04 +0100 Subject: IVGCVSW-7702 Update Doxygen Docu for 23.08 Signed-off-by: Nikhil Raj Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d --- latest/_switch_layer_8cpp_source.html | 211 ++++++++++++++++++++++++++++++++++ 1 file changed, 211 insertions(+) create mode 100644 latest/_switch_layer_8cpp_source.html (limited to 'latest/_switch_layer_8cpp_source.html') diff --git a/latest/_switch_layer_8cpp_source.html b/latest/_switch_layer_8cpp_source.html new file mode 100644 index 0000000000..1115306769 --- /dev/null +++ b/latest/_switch_layer_8cpp_source.html @@ -0,0 +1,211 @@ + + + + + + + + +Arm NN: src/armnn/layers/SwitchLayer.cpp Source File + + + + + + + + + + + + + + + + +
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+  23.08 +
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SwitchLayer.cpp
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+Go to the documentation of this file.
1 //
+
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
+
3 // SPDX-License-Identifier: MIT
+
4 //
+
5 #include "SwitchLayer.hpp"
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6 
+
7 #include "LayerCloneBase.hpp"
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8 
+
9 #include <armnn/backends/WorkloadData.hpp>
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10 #include <armnn/backends/WorkloadFactory.hpp>
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11 
+
12 namespace armnn
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13 {
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14 
+
15 SwitchLayer::SwitchLayer(const char* name)
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16  : Layer(2, 2, LayerType::Switch, name)
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17 {}
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18 
+
19 std::unique_ptr<IWorkload> SwitchLayer::CreateWorkload(const IWorkloadFactory& factory) const
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20 {
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21  SwitchQueueDescriptor descriptor;
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22  SetAdditionalInfo(descriptor);
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23 
+
24  return factory.CreateWorkload(LayerType::Switch, descriptor, PrepInfoAndDesc(descriptor));
+
25 }
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26 
+
27 SwitchLayer* SwitchLayer::Clone(Graph& graph) const
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28 {
+
29  return CloneBase<SwitchLayer>(graph, GetName());
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30 }
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31 
+
32 void SwitchLayer::ValidateTensorShapesFromInputs()
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33 {
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34  VerifyLayerConnections(2, CHECK_LOCATION());
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35 
+
36  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
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37 
+
38  VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
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39 
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40  ARMNN_ASSERT_MSG(GetNumOutputSlots() == 2, "SwitchLayer: The layer should return 2 outputs.");
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41 
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42  // Assuming first input is the Input and second input is the Constant
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43  std::vector<TensorShape> inferredShapes = InferOutputShapes({
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44  GetInputSlot(0).GetTensorInfo().GetShape(),
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45  GetInputSlot(1).GetTensorInfo().GetShape()});
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46 
+
47  ARMNN_ASSERT(inferredShapes.size() == 2);
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48 
+
49  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer");
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50 
+
51  ValidateAndCopyShape(
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52  GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1);
+
53 }
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54 
+
55 void SwitchLayer::ExecuteStrategy(IStrategy& strategy) const
+
56 {
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57  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
+
58 }
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59 
+
60 } // namespace armnn
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+
+
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
+ +
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
+
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:435
+
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
+
armnn::SwitchLayer::SwitchLayer
SwitchLayer(const char *name)
Constructor to create a SwitchLayer.
Definition: SwitchLayer.cpp:15
+
armnn::SwitchLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: SwitchLayer.cpp:55
+ +
ARMNN_ASSERT_MSG
#define ARMNN_ASSERT_MSG(COND, MSG)
Definition: Assert.hpp:15
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
+ +
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
+ + +
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
+
armnn::SwitchLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SwitchLayer.
Definition: SwitchLayer.cpp:32
+ +
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
+ +
armnn::Layer::GetNumOutputSlots
unsigned int GetNumOutputSlots() const override
Returns the number of connectable output slots.
Definition: Layer.hpp:335
+
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
+
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:33
+
armnn::SwitchLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Switch type.
Definition: SwitchLayer.cpp:19
+
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
+
armnn::SwitchLayer
This layer calculates both true and false outputs for input.
Definition: SwitchLayer.hpp:13
+
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
+ + +
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+
armnn::SwitchLayer::Clone
SwitchLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: SwitchLayer.cpp:27
+
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:410
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:391
+
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
+
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:483
+ +
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
+
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
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