patch/21.02/_depth_to_space_layer_8cpp_source.xhtml

 //
 // Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //

 #include "DepthToSpaceLayer.hpp"
 #include "LayerCloneBase.hpp"

 #include <armnn/TypesUtils.hpp>

 #include <armnnUtils/DataLayoutIndexed.hpp>

 #include <backendsCommon/WorkloadData.hpp>
 #include <backendsCommon/WorkloadFactory.hpp>

 #include <numeric>

 namespace armnn
 {

 DepthToSpaceLayer::DepthToSpaceLayer(const DepthToSpaceDescriptor& param, const char* name)
     : LayerWithParameters(1, 1, LayerType::DepthToSpace, param, name)
 {}

 std::unique_ptr<IWorkload> DepthToSpaceLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     DepthToSpaceQueueDescriptor descriptor;
     descriptor.m_Parameters.m_BlockSize  = m_Param.m_BlockSize;
     descriptor.m_Parameters.m_DataLayout = m_Param.m_DataLayout;

     SetAdditionalInfo(descriptor);

     return factory.CreateDepthToSpace(descriptor, PrepInfoAndDesc(descriptor));
 }

 DepthToSpaceLayer* DepthToSpaceLayer::Clone(Graph& graph) const
 {
     return CloneBase<DepthToSpaceLayer>(graph, m_Param, GetName());
 }

 std::vector<TensorShape> DepthToSpaceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
     ARMNN_ASSERT(inputShapes.size() == 1);

     TensorShape inputShape = inputShapes[0];
     TensorShape outputShape(inputShape);

     armnnUtils::DataLayoutIndexed dimensionIndices(m_Param.m_DataLayout);

     unsigned int hIndex = dimensionIndices.GetHeightIndex();
     unsigned int wIndex = dimensionIndices.GetWidthIndex();
     unsigned int cIndex = dimensionIndices.GetChannelsIndex();

     outputShape[hIndex] = inputShape[hIndex] * m_Param.m_BlockSize;
     outputShape[wIndex] = inputShape[wIndex] * m_Param.m_BlockSize;

     outputShape[cIndex] = inputShape[cIndex] / (m_Param.m_BlockSize * m_Param.m_BlockSize);

     return std::vector<TensorShape>({ outputShape });
 }

 void DepthToSpaceLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     std::vector<TensorShape> inferredShapes = InferOutputShapes({
         GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DepthToSpaceLayer");
 }

 void DepthToSpaceLayer::Accept(ILayerVisitor& visitor) const
 {
     visitor.VisitDepthToSpaceLayer(this, GetParameters(), GetName());
 }

 } // namespace armnn
WorkloadData.hpp

+armnn::DepthToSpaceLayer::DepthToSpaceLayer
DepthToSpaceLayer(const DepthToSpaceDescriptor &param, const char *name)
Constructor to create a DepthToSpaceLayer.
Definition: DepthToSpaceLayer.cpp:21

+DataLayoutIndexed.hpp

+DepthToSpaceLayer.hpp

+armnn::LayerWithParameters< DepthToSpaceDescriptor >::m_Param
DepthToSpaceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50

+armnn::LayerWithParameters< DepthToSpaceDescriptor >::GetParameters
const DepthToSpaceDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18

+armnnUtils::DataLayoutIndexed::GetWidthIndex
unsigned int GetWidthIndex() const
Definition: DataLayoutIndexed.hpp:25

+armnn::DepthToSpaceLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: DepthToSpaceLayer.cpp:78

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:187

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::DepthToSpaceLayer::Clone
DepthToSpaceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DepthToSpaceLayer.cpp:36

+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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: DepthToSpaceLayer.cpp:41

+armnn::DepthToSpace
void DepthToSpace(const TensorInfo &inputInfo, const DepthToSpaceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
Definition: DepthToSpace.cpp:18

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:432

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6

+armnn::TensorShape
Definition: Tensor.hpp:20

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199

+armnn::SpaceToDepthDescriptor
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
Definition: Descriptors.hpp:884

+armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:57

+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:392

+armnnUtils::DataLayoutIndexed::GetHeightIndex
unsigned int GetHeightIndex() const
Definition: DataLayoutIndexed.hpp:24

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:348

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:316

+TypesUtils.hpp

+armnnUtils::DataLayoutIndexed
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
Definition: DataLayoutIndexed.hpp:17

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:197

+armnn::ILayerVisitor::VisitDepthToSpaceLayer
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...

+armnn::Graph
Definition: Graph.hpp:29

+armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:901

+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::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:245

+armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:904

+armnn::DepthToSpaceQueueDescriptor
Definition: WorkloadData.hpp:651

+armnn::IWorkloadFactory::CreateDepthToSpace
virtual std::unique_ptr< IWorkload > CreateDepthToSpace(const DepthToSpaceQueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1380

+armnn::LayerWithParameters< DepthToSpaceDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:318

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:311

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+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

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63

+armnnUtils::DataLayoutIndexed::GetChannelsIndex
unsigned int GetChannelsIndex() const
Definition: DataLayoutIndexed.hpp:23

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:408

+armnn::DepthToSpaceLayer
This layer represents a DepthToSpace operation.
Definition: DepthToSpaceLayer.hpp:14

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:419

+