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ReshapeLayer.cpp
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1 //
2 // Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "ReshapeLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
10 #include <armnn/TypesUtils.hpp>
13 
14 namespace armnn
15 {
16 
17 ReshapeLayer::ReshapeLayer(const ReshapeDescriptor& param, const char* name)
18  : LayerWithParameters(1, 1, LayerType::Reshape, param, name)
19 {
20 }
21 
22 std::unique_ptr<IWorkload> ReshapeLayer::CreateWorkload(const IWorkloadFactory& factory) const
23 {
24  ReshapeQueueDescriptor descriptor;
25  SetAdditionalInfo(descriptor);
26 
27  return factory.CreateWorkload(LayerType::Reshape, descriptor, PrepInfoAndDesc(descriptor));
28 }
29 
31 {
32  return CloneBase<ReshapeLayer>(graph, m_Param, GetName());
33 }
34 
35 std::vector<TensorShape> ReshapeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
36 {
37  IgnoreUnused(inputShapes);
38  return std::vector<TensorShape>({ m_Param.m_TargetShape });
39 }
40 
42 {
44 
45  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
46 
48 
49  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
50 
51  if (inferredShapes.size() != 1)
52  {
53  throw armnn::LayerValidationException("inferredShapes has "
54  + std::to_string(inferredShapes.size()) +
55  " elements - should only have 1.");
56  }
57 
58  if (inferredShapes[0].GetDimensionality() != Dimensionality::Specified)
59  {
60  throw armnn::LayerValidationException("inferredShapes' dimensionality has not been specified.");
61  }
62 
63  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ReshapeLayer");
64 }
65 
67 {
68  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
69 }
70 
71 } // namespace armnn
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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 OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
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
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
ReshapeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const ReshapeDescriptor & GetParameters() const override
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
This layer represents a reshape operation.
ReshapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
ReshapeLayer(const ReshapeDescriptor &desc, const char *name)
Constructor to create a ReshapeLayer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
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 ReshapeLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reshape type.
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
void IgnoreUnused(Ts &&...)
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:494
A ReshapeDescriptor for the ReshapeLayer.
TensorShape m_TargetShape
Target shape value.