ArmNN
 22.05
SwitchLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "SwitchLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
11 
12 namespace armnn
13 {
14 
15 SwitchLayer::SwitchLayer(const char* name)
16  : Layer(2, 2, LayerType::Switch, name)
17 {}
18 
19 std::unique_ptr<IWorkload> SwitchLayer::CreateWorkload(const IWorkloadFactory& factory) const
20 {
21  SwitchQueueDescriptor descriptor;
22  SetAdditionalInfo(descriptor);
23 
24  return factory.CreateWorkload(LayerType::Switch, descriptor, PrepInfoAndDesc(descriptor));
25 }
26 
28 {
29  return CloneBase<SwitchLayer>(graph, GetName());
30 }
31 
33 {
35 
36  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
37 
39 
40  ARMNN_ASSERT_MSG(GetNumOutputSlots() == 2, "SwitchLayer: The layer should return 2 outputs.");
41 
42  // Assuming first input is the Input and second input is the Constant
43  std::vector<TensorShape> inferredShapes = InferOutputShapes({
46 
47  ARMNN_ASSERT(inferredShapes.size() == 2);
48 
49  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer");
50 
52  GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1);
53 }
54 
56 void SwitchLayer::Accept(ILayerVisitor& visitor) const
57 {
58  visitor.VisitSwitchLayer(this, GetName());
59 }
61 
62 } // namespace armnn
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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:397
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Switch type.
Definition: SwitchLayer.cpp:19
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
Copyright (c) 2021 ARM Limited and Contributors.
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204
unsigned int GetNumOutputSlots() const override
Returns the number of connectable output slots.
Definition: Layer.hpp:320
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:422
SwitchLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: SwitchLayer.cpp:27
SwitchLayer(const char *name)
Constructor to create a SwitchLayer.
Definition: SwitchLayer.cpp:15
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:322
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SwitchLayer.
Definition: SwitchLayer.cpp:32
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
#define ARMNN_ASSERT_MSG(COND, MSG)
Definition: Assert.hpp:15
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:394
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Definition: SwitchLayer.cpp:56
This layer calculates both true and false outputs for input.
Definition: SwitchLayer.hpp:13
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:324
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:317
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:421
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:467