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 ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SpaceToDepthLayer.
SpaceToDepthDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const SpaceToDepthDescriptor & GetParameters() const
const TensorShape & GetShape() const
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
This layer represents a SpaceToDepth operation.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Copyright (c) 2021 ARM Limited and Contributors.
void IgnoreUnused(Ts &&...)
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
LayerDescriptor m_Parameters
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the SpaceToDepth type.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
#define ARMNN_NO_DEPRECATE_WARN_END
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
SpaceToDepthLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
#define ARMNN_ASSERT(COND)
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
virtual std::unique_ptr< IWorkload > CreateSpaceToDepth(const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info) const
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.
virtual const TensorInfo & GetTensorInfo() const =0
void SpaceToDepth(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const SpaceToDepthDescriptor ¶ms, Decoder< float > &inputData, Encoder< float > &outputData)
const char * GetName() const override
Returns the name of the layer.
const TensorInfo & GetTensorInfo() const override
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.
ShapeInferenceMethod m_ShapeInferenceMethod
SpaceToDepthLayer(const SpaceToDepthDescriptor param, const char *name)
Constructor to create a SpaceToDepthLayer.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...