ArmNN
 21.11
DepthToSpaceLayer.cpp
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1 //
2 // Copyright © 2019 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.CreateDepthToSpace(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 void DepthToSpaceLayer::Accept(ILayerVisitor& visitor) const
80 {
81  visitor.VisitDepthToSpaceLayer(this, GetParameters(), GetName());
82 }
84 
85 } // namespace armnn
DepthToSpaceLayer(const DepthToSpaceDescriptor &param, const char *name)
Constructor to create a DepthToSpaceLayer.
DepthToSpaceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const DepthToSpaceDescriptor & GetParameters() const
unsigned int GetWidthIndex() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
DepthToSpaceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of 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, otherwise infers the output shapes from given input shapes and layer properties.
void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:433
Copyright (c) 2021 ARM Limited and Contributors.
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:393
unsigned int GetHeightIndex() const
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:349
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
#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 ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DepthToSpaceLayer.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
virtual std::unique_ptr< IWorkload > CreateDepthToSpace(const DepthToSpaceQueueDescriptor &descriptor, const WorkloadInfo &info) const
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:318
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the DepthToSpace type.
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
unsigned int GetChannelsIndex() const
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408
This layer represents a DepthToSpace operation.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:443