ArmNN
 24.02
ReshapeLayer.cpp
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1 //
2 // Copyright © 2017-2023 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  ARMNN_ASSERT(inferredShapes.size() == 1);
52  ARMNN_ASSERT(inferredShapes[0].GetDimensionality() == Dimensionality::Specified);
53 
54  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ReshapeLayer");
55 }
56 
58 {
59  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
60 }
61 
62 } // namespace armnn
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
WorkloadData.hpp
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:435
armnn::ReshapeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReshapeLayer.
Definition: ReshapeLayer.cpp:41
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
IgnoreUnused.hpp
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< ReshapeDescriptor >::GetParameters
const ReshapeDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::ReshapeLayer::ReshapeLayer
ReshapeLayer(const ReshapeDescriptor &desc, const char *name)
Constructor to create a ReshapeLayer.
Definition: ReshapeLayer.cpp:17
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::ReshapeLayer::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: ReshapeLayer.cpp:35
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::ReshapeLayer
This layer represents a reshape operation.
Definition: ReshapeLayer.hpp:15
armnn::LayerWithParameters< ReshapeDescriptor >::m_Param
ReshapeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::LayerWithParameters< ReshapeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::ReshapeDescriptor
A ReshapeDescriptor for the ReshapeLayer.
Definition: Descriptors.hpp:1023
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::ReshapeLayer::Clone
ReshapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ReshapeLayer.cpp:30
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::ReshapeDescriptor::m_TargetShape
TensorShape m_TargetShape
Target shape value.
Definition: Descriptors.hpp:1039
armnn::ReshapeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reshape type.
Definition: ReshapeLayer.cpp:22
armnn::ReshapeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ReshapeLayer.cpp:57
armnn::ReshapeQueueDescriptor
Definition: WorkloadData.hpp:380
armnn::Dimensionality::Specified
@ Specified
armnn::LayerType::Reshape
@ Reshape
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:391
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
ReshapeLayer.hpp