ArmNN
 20.08
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  return factory.CreateDepthToSpace(descriptor, PrepInfoAndDesc(descriptor));
32 }
33 
35 {
36  return CloneBase<DepthToSpaceLayer>(graph, m_Param, GetName());
37 }
38 
39 std::vector<TensorShape> DepthToSpaceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
40 {
41  ARMNN_ASSERT(inputShapes.size() == 1);
42 
43  TensorShape inputShape = inputShapes[0];
44  TensorShape outputShape(inputShape);
45 
47 
48  unsigned int hIndex = dimensionIndices.GetHeightIndex();
49  unsigned int wIndex = dimensionIndices.GetWidthIndex();
50  unsigned int cIndex = dimensionIndices.GetChannelsIndex();
51 
52  outputShape[hIndex] = inputShape[hIndex] * m_Param.m_BlockSize;
53  outputShape[wIndex] = inputShape[wIndex] * m_Param.m_BlockSize;
54 
55  outputShape[cIndex] = inputShape[cIndex] / (m_Param.m_BlockSize * m_Param.m_BlockSize);
56 
57  return std::vector<TensorShape>({ outputShape });
58 }
59 
61 {
63 
64  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
65 
67 
68  std::vector<TensorShape> inferredShapes = InferOutputShapes({
70 
71  ARMNN_ASSERT(inferredShapes.size() == 1);
72 
73  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DepthToSpaceLayer");
74 }
75 
77 {
78  visitor.VisitDepthToSpaceLayer(this, GetParameters(), GetName());
79 }
80 
81 } // 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
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
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:432
Copyright (c) 2020 ARM Limited.
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:392
unsigned int GetHeightIndex() const
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:344
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:312
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:197
virtual void VisitDepthToSpaceLayer(const IConnectableLayer *layer, const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)=0
Function a depth to space layer should call back to when its Accept(ILayerVisitor&) function is invok...
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.
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:314
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:307
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:387
This layer represents a DepthToSpace operation.