ArmNN
 25.11
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ShapeLayer.cpp
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1//
2// Copyright © 2021-2024 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
16namespace armnn
17{
18
19ShapeLayer::ShapeLayer(const char* name)
20 : Layer(1, 1, LayerType::Shape, name)
21{
22}
23
24std::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 if (inferredShape.size() != 1)
48 {
49 throw armnn::LayerValidationException("inferredShape has "
50 + std::to_string(inferredShape.size()) +
51 " elements - should only have 1.");
52 }
53
54 ValidateAndCopyShape(outputShape, inferredShape[0], m_ShapeInferenceMethod, "ShapeLayer");
55}
56
57std::vector<TensorShape> ShapeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
58{
59 if (inputShapes.size() != 1)
60 {
61 throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
62 "\" - should be \"1\".");
63 }
64
65 TensorShape outputShape({ inputShapes[0].GetNumDimensions()} );
66
67 return std::vector<TensorShape>({ outputShape });
68}
69
70
72{
73 strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
74}
75
76} // namespace armnn
#define CHECK_LOCATION()
Base class for all ArmNN exceptions so that users can filter to just those.
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
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.
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition Layer.cpp:614
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition Layer.cpp:410
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition Layer.hpp:337
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition Layer.hpp:409
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition Layer.cpp:260
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition Layer.cpp:457
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition Layer.cpp:303
friend class Graph
Definition Layer.hpp:382
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
ShapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
ShapeLayer(const char *name)
Constructor to create a ShapeLayer.
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,...
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ShapeLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Shape type.
const TensorShape & GetShape() const
Definition Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494
Base class for all descriptors.