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52 unsigned int hIndex = dimensionIndices.GetHeightIndex();
53 unsigned int wIndex = dimensionIndices.GetWidthIndex();
54 unsigned int cIndex = dimensionIndices.GetChannelsIndex();
61 return std::vector<TensorShape>({ outputShape });
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
void IgnoreUnused(Ts &&...)
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
void SetAdditionalInfo(QueueDescriptor &descriptor) const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the SpaceToDepth type.
ShapeInferenceMethod m_ShapeInferenceMethod
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char *name)
Constructor to create a SpaceToDepthLayer.
Copyright (c) 2021 ARM Limited and Contributors.
const TensorInfo & GetTensorInfo() const override
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
virtual const TensorInfo & GetTensorInfo() const =0
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
SpaceToDepthLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
const TensorShape & GetShape() const
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
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,...
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
LayerDescriptor m_Parameters
#define ARMNN_ASSERT(COND)
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const char * GetName() const override
Returns the name of the layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SpaceToDepthLayer.
void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor ¶ms, Decoder< float > &inputData, Encoder< float > &outputData)
const SpaceToDepthDescriptor & GetParameters() const override
This layer represents a SpaceToDepth operation.
SpaceToDepthDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).