ArmNN
 21.08
SliceLayer.cpp
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1 //
2 // Copyright © 2019 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.CreateSlice(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).GetConnection()->GetTensorInfo().GetShape() });
46 
47  ARMNN_ASSERT(inferredShapes.size() == 1);
48 
49  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SliceLayer");
50 }
51 
52 std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
53 {
54  IgnoreUnused(inputShapes);
55  ARMNN_ASSERT(inputShapes.size() == 1);
56 
57  TensorShape outputShape(armnn::numeric_cast<unsigned int>(m_Param.m_Size.size()), m_Param.m_Size.data());
58 
59  return std::vector<TensorShape>({ outputShape });
60 }
61 
62 void SliceLayer::Accept(ILayerVisitor& visitor) const
63 {
64  visitor.VisitSliceLayer(this, GetParameters(), GetName());
65 }
66 
67 } // namespace armnn
SliceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: Slice.cpp:14
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SliceLayer.
Definition: SliceLayer.cpp:37
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
std::vector< unsigned int > m_Size
Size of the slice in each dimension.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:433
Copyright (c) 2021 ARM Limited and Contributors.
void IgnoreUnused(Ts &&...)
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:393
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:349
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
SliceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: SliceLayer.cpp:32
virtual void VisitSliceLayer(const IConnectableLayer *layer, const SliceDescriptor &sliceDescriptor, const char *name=nullptr)=0
Function that a slice layer should call back to when its Accept(ILayerVisitor&) function is invoked...
SliceLayer(const SliceDescriptor &param, const char *name)
Constructor to create a SliceLayer.
Definition: SliceLayer.cpp:19
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: SliceLayer.cpp:62
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Slice type.
Definition: SliceLayer.cpp:24
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197
A SliceDescriptor for the SliceLayer.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
virtual std::unique_ptr< IWorkload > CreateSlice(const SliceQueueDescriptor &descriptor, const WorkloadInfo &info) const
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: SliceLayer.cpp:52
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:405