ArmNN
 22.02
SpaceToDepthLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "SpaceToDepthLayer.hpp"
7 #include "LayerCloneBase.hpp"
8 
9 #include <armnn/TypesUtils.hpp>
12 
15 
16 #include <numeric>
17 
18 using namespace armnnUtils;
19 
20 namespace armnn
21 {
22 
24  : LayerWithParameters(1, 1, LayerType::SpaceToDepth, param, name)
25 {}
26 
27 std::unique_ptr<IWorkload> SpaceToDepthLayer::CreateWorkload(const IWorkloadFactory& factory) const
28 {
29  SpaceToDepthQueueDescriptor descriptor;
32 
33  SetAdditionalInfo(descriptor);
34 
35  return factory.CreateWorkload(LayerType::SpaceToDepth, descriptor, PrepInfoAndDesc(descriptor));
36 }
37 
39 {
40  IgnoreUnused(graph);
41  return CloneBase<SpaceToDepthLayer>(graph, m_Param, GetName());
42 }
43 
44 std::vector<TensorShape> SpaceToDepthLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
45 {
46  ARMNN_ASSERT(inputShapes.size() == 1);
47 
48  TensorShape inputShape = inputShapes[0];
49  TensorShape outputShape(inputShape);
50 
51  DataLayoutIndexed dimensionIndices{m_Param.m_DataLayout};
52  unsigned int hIndex = dimensionIndices.GetHeightIndex();
53  unsigned int wIndex = dimensionIndices.GetWidthIndex();
54  unsigned int cIndex = dimensionIndices.GetChannelsIndex();
55 
56  outputShape[hIndex] = inputShape[hIndex] / m_Param.m_BlockSize;
57  outputShape[wIndex] = inputShape[wIndex] / m_Param.m_BlockSize;
58 
59  outputShape[cIndex] = inputShape[cIndex] * m_Param.m_BlockSize * m_Param.m_BlockSize;
60 
61  return std::vector<TensorShape>({ outputShape });
62 }
63 
65 {
67 
68  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
69 
71 
72  std::vector<TensorShape> inferredShapes = InferOutputShapes({
74 
75  ARMNN_ASSERT(inferredShapes.size() == 1);
76 
77  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SpaceToDepthLayer");
78 }
79 
81 void SpaceToDepthLayer::Accept(ILayerVisitor& visitor) const
82 {
83  visitor.VisitSpaceToDepthLayer(this, GetParameters(), GetName());
84 }
86 
87 } // namespace armnn
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SpaceToDepthLayer.
SpaceToDepthDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
This layer represents a SpaceToDepth operation.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:436
Copyright (c) 2021 ARM Limited and Contributors.
const SpaceToDepthDescriptor & GetParameters() const override
void IgnoreUnused(Ts &&...)
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the SpaceToDepth type.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:396
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:352
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:321
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
SpaceToDepthLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:248
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:323
virtual const TensorInfo & GetTensorInfo() const =0
void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor &params, Decoder< float > &inputData, Encoder< float > &outputData)
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:316
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:66
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, otherwise infers the output shapes from given input shapes and layer properties.
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:415
SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char *name)
Constructor to create a SpaceToDepthLayer.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:458