ArmNN
 22.08
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  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
DepthToSpaceLayer(const DepthToSpaceDescriptor &param, const char *name)
Constructor to create a DepthToSpaceLayer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
DepthToSpaceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
unsigned int GetWidthIndex() const
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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:491
Copyright (c) 2021 ARM Limited and Contributors.
const DepthToSpaceDescriptor & GetParameters() const override
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206
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:422
unsigned int GetHeightIndex() const
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
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
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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:274
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:326
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the DepthToSpace type.
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
unsigned int GetChannelsIndex() const
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423
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:468