ArmNN
 24.02
ShapeLayer.cpp
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1 //
2 // Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ShapeLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
12 
15 
16 namespace armnn
17 {
18 
19 ShapeLayer::ShapeLayer(const char* name)
20  : Layer(1, 1, LayerType::Shape, name)
21 {
22 }
23 
24 std::unique_ptr<IWorkload> ShapeLayer::CreateWorkload(const IWorkloadFactory& factory) const
25 {
26  ShapeQueueDescriptor descriptor;
27  SetAdditionalInfo(descriptor);
28 
29  return factory.CreateWorkload(LayerType::Shape, descriptor, PrepInfoAndDesc(descriptor));
30 }
31 
33 {
34  return CloneBase<ShapeLayer>(graph, GetName());
35 }
36 
38 {
40 
41  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
42 
44 
45  auto inferredShape = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
46 
47  ARMNN_ASSERT(inferredShape.size() == 1);
48 
49  ValidateAndCopyShape(outputShape, inferredShape[0], m_ShapeInferenceMethod, "ShapeLayer");
50 }
51 
52 std::vector<TensorShape> ShapeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
53 {
54  IgnoreUnused(inputShapes);
55  ARMNN_ASSERT(inputShapes.size() == 1);
56 
57  TensorShape outputShape({ inputShapes[0].GetNumDimensions()} );
58 
59  return std::vector<TensorShape>({ outputShape });
60 }
61 
62 
64 {
65  strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
66 }
67 
68 } // namespace armnn
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::ShapeLayer::ShapeLayer
ShapeLayer(const char *name)
Constructor to create a ShapeLayer.
Definition: ShapeLayer.cpp:19
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
WorkloadData.hpp
TypesUtils.hpp
ShapeLayer.hpp
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::ShapeLayer::Clone
ShapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ShapeLayer.cpp:32
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::ShapeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ShapeLayer.
Definition: ShapeLayer.cpp:37
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
WorkloadFactory.hpp
NumericCast.hpp
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::Layer
Definition: Layer.hpp:230
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
armnn::BaseDescriptor
Base class for all descriptors.
Definition: Descriptors.hpp:22
armnn::LayerType::Shape
@ Shape
armnn::ShapeQueueDescriptor
Definition: WorkloadData.hpp:691
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
armnn::ShapeLayer
Definition: ShapeLayer.hpp:13
armnn::ShapeLayer::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,...
Definition: ShapeLayer.cpp:52
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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::ShapeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Shape type.
Definition: ShapeLayer.cpp:24
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
armnn::Graph
Definition: Graph.hpp:30
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
LayerCloneBase.hpp
armnn::ShapeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ShapeLayer.cpp:63