ArmNN
 25.11
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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
14namespace armnn
15{
16
17ReshapeLayer::ReshapeLayer(const ReshapeDescriptor& param, const char* name)
18 : LayerWithParameters(1, 1, LayerType::Reshape, param, name)
19{
20}
21
22std::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
35std::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()
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
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
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
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const ReshapeDescriptor &param, const char *name)
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
const ReshapeDescriptor & GetParameters() const override
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
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.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494
void IgnoreUnused(Ts &&...)
A ReshapeDescriptor for the ReshapeLayer.