ArmNN
 24.02
DepthToSpaceLayer.cpp
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1 //
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "DepthToSpaceLayer.hpp"
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
10 
12 
15 
16 #include <numeric>
17 
18 namespace armnn
19 {
20 
22  : LayerWithParameters(1, 1, LayerType::DepthToSpace, param, name)
23 {}
24 
25 std::unique_ptr<IWorkload> DepthToSpaceLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  DepthToSpaceQueueDescriptor descriptor;
30 
31  SetAdditionalInfo(descriptor);
32 
33  return factory.CreateWorkload(LayerType::DepthToSpace, descriptor, PrepInfoAndDesc(descriptor));
34 }
35 
37 {
38  return CloneBase<DepthToSpaceLayer>(graph, m_Param, GetName());
39 }
40 
41 std::vector<TensorShape> DepthToSpaceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
42 {
43  ARMNN_ASSERT(inputShapes.size() == 1);
44 
45  TensorShape inputShape = inputShapes[0];
46  TensorShape outputShape(inputShape);
47 
49 
50  unsigned int hIndex = dimensionIndices.GetHeightIndex();
51  unsigned int wIndex = dimensionIndices.GetWidthIndex();
52  unsigned int cIndex = dimensionIndices.GetChannelsIndex();
53 
54  outputShape[hIndex] = inputShape[hIndex] * m_Param.m_BlockSize;
55  outputShape[wIndex] = inputShape[wIndex] * m_Param.m_BlockSize;
56 
57  outputShape[cIndex] = inputShape[cIndex] / (m_Param.m_BlockSize * m_Param.m_BlockSize);
58 
59  return std::vector<TensorShape>({ outputShape });
60 }
61 
63 {
65 
66  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
67 
69 
70  std::vector<TensorShape> inferredShapes = InferOutputShapes({
72 
73  ARMNN_ASSERT(inferredShapes.size() == 1);
74 
75  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DepthToSpaceLayer");
76 }
77 
79 {
80  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
81 }
82 
83 } // namespace armnn
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::DepthToSpaceLayer::DepthToSpaceLayer
DepthToSpaceLayer(const DepthToSpaceDescriptor &param, const char *name)
Constructor to create a DepthToSpaceLayer.
Definition: DepthToSpaceLayer.cpp:21
DepthToSpaceLayer.hpp
armnn::DepthToSpaceLayer
This layer represents a DepthToSpace operation.
Definition: DepthToSpaceLayer.hpp:14
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
WorkloadData.hpp
armnn::DepthToSpaceLayer::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: DepthToSpaceLayer.cpp:41
TypesUtils.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnnUtils::DataLayoutIndexed
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.
Definition: DataLayoutIndexed.hpp:17
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::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< DepthToSpaceDescriptor >::GetParameters
const DepthToSpaceDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
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
armnnUtils::DataLayoutIndexed::GetHeightIndex
unsigned int GetHeightIndex() const
Definition: DataLayoutIndexed.hpp:24
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::LayerWithParameters< DepthToSpaceDescriptor >::m_Param
DepthToSpaceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::DepthToSpaceLayer::Clone
DepthToSpaceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DepthToSpaceLayer.cpp:36
armnn::LayerWithParameters< DepthToSpaceDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
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::LayerType::DepthToSpace
@ DepthToSpace
armnnUtils::DataLayoutIndexed::GetWidthIndex
unsigned int GetWidthIndex() const
Definition: DataLayoutIndexed.hpp:25
armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:1092
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::DepthToSpaceQueueDescriptor
Definition: WorkloadData.hpp:661
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnnUtils::DataLayoutIndexed::GetChannelsIndex
unsigned int GetChannelsIndex() const
Definition: DataLayoutIndexed.hpp:23
armnn::DepthToSpace
void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: DepthToSpace.cpp:18
armnn::DepthToSpaceLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: DepthToSpaceLayer.cpp:78
armnn::DepthToSpaceLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DepthToSpaceLayer.
Definition: DepthToSpaceLayer.cpp:62
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
DataLayoutIndexed.hpp
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
armnn::DepthToSpaceLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the DepthToSpace type.
Definition: DepthToSpaceLayer.cpp:25
LayerCloneBase.hpp
armnn::SpaceToDepthDescriptor
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
Definition: Descriptors.hpp:1075
armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1095