ArmNN
 24.02
ChannelShuffleLayer.cpp
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1 //
2 // Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
14 
15 namespace armnn
16 {
18 : LayerWithParameters(1, 1, LayerType::ChannelShuffle, param, name)
19 {
20 }
21 
22 std::unique_ptr<IWorkload> ChannelShuffleLayer::CreateWorkload(const IWorkloadFactory &factory) const
23 {
25  SetAdditionalInfo(descriptor);
26 
27  return factory.CreateWorkload(LayerType::ChannelShuffle, descriptor, PrepInfoAndDesc(descriptor));
28 }
29 
31 {
32  return CloneBase<ChannelShuffleLayer>(graph, m_Param, GetName());
33 }
34 
36 {
38 
39  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
40 
42 
43  auto inferredShapes = Layer::InferOutputShapes({GetInputSlot(0).GetTensorInfo().GetShape() });
44 
45  ARMNN_ASSERT(inferredShapes.size() == 1);
46 
47  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ChannelShuffleLayer");
48 }
49 
50 }
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
ChannelShuffleLayer.hpp
armnn::ChannelShuffleLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ChannelShuffle type.
Definition: ChannelShuffleLayer.cpp:22
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
armnn::ChannelShuffleLayer::Clone
ChannelShuffleLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ChannelShuffleLayer.cpp:30
TypesUtils.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::ChannelShuffleDescriptor
A ChannelShuffleDescriptor for the ChannelShuffle operator.
Definition: Descriptors.hpp:1562
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::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::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
WorkloadFactory.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:592
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::ChannelShuffleLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ChannelShuffleLayer.
Definition: ChannelShuffleLayer.cpp:35
armnn::LayerType::ChannelShuffle
@ ChannelShuffle
armnn::LayerWithParameters< ChannelShuffleDescriptor >::m_Param
ChannelShuffleDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::ChannelShuffleLayer
Definition: ChannelShuffleLayer.hpp:11
armnn::LayerWithParameters< ChannelShuffleDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
Workload.hpp
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
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::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition: Layer.cpp:410
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:391
armnn::ChannelShuffleLayer::ChannelShuffleLayer
ChannelShuffleLayer(const ChannelShuffleDescriptor &param, const char *name)
Definition: ChannelShuffleLayer.cpp:17
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::ChannelShuffleQueueDescriptor
Definition: WorkloadData.hpp:748
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.
LayerCloneBase.hpp