ArmNN
 24.08
SliceLayer.cpp
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1 //
2 // Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "SliceLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
12 
15 
16 namespace armnn
17 {
18 
19 SliceLayer::SliceLayer(const SliceDescriptor& param, const char* name)
20  : LayerWithParameters(1, 1, LayerType::Slice, param, name)
21 {
22 }
23 
24 std::unique_ptr<IWorkload> SliceLayer::CreateWorkload(const IWorkloadFactory& factory) const
25 {
26  SliceQueueDescriptor descriptor;
27  SetAdditionalInfo(descriptor);
28 
29  return factory.CreateWorkload(LayerType::Slice, descriptor, PrepInfoAndDesc(descriptor));
30 }
31 
33 {
34  return CloneBase<SliceLayer>(graph, m_Param, GetName());
35 }
36 
38 {
40 
41  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
42 
44 
45  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
46 
47  if (inferredShapes.size() != 1)
48  {
49  throw armnn::LayerValidationException("inferredShapes has "
50  + std::to_string(inferredShapes.size()) +
51  " elements - should only have 1.");
52  }
53 
54  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SliceLayer");
55 }
56 
57 std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
58 {
59  IgnoreUnused(inputShapes);
60 
61  if (inputShapes.size() != 1)
62  {
63  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
64  "\" - should be \"1\".");
65  }
66 
67  TensorShape outputShape(armnn::numeric_cast<unsigned int>(m_Param.m_Size.size()), m_Param.m_Size.data());
68 
69  return std::vector<TensorShape>({ outputShape });
70 }
71 
73 {
74  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
75 }
76 
77 } // namespace armnn
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::SliceLayer::SliceLayer
SliceLayer(const SliceDescriptor &param, const char *name)
Constructor to create a SliceLayer.
Definition: SliceLayer.cpp:19
TypesUtils.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:457
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::IStrategy
Definition: IStrategy.hpp:16
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::LayerWithParameters< SliceDescriptor >::GetParameters
const SliceDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::SliceLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: SliceLayer.cpp:72
NumericCast.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
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:614
armnn::SliceLayer::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: SliceLayer.cpp:57
armnn::LayerType::Slice
@ Slice
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< SliceDescriptor >::m_Param
SliceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::Slice
void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: Slice.cpp:14
armnn::SliceLayer::Clone
SliceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: SliceLayer.cpp:32
armnn::SliceLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SliceLayer.
Definition: SliceLayer.cpp:37
armnn::LayerWithParameters< SliceDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::SliceDescriptor
A SliceDescriptor for the SliceLayer.
Definition: Descriptors.hpp:1228
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::SliceLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Slice type.
Definition: SliceLayer.cpp:24
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::SliceLayer
Definition: SliceLayer.hpp:13
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
SliceLayer.hpp
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
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:410
armnn::SliceDescriptor::m_Size
std::vector< unsigned int > m_Size
Size of the slice in each dimension.
Definition: Descriptors.hpp:1247
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: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::SliceQueueDescriptor
Definition: WorkloadData.hpp:656