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59 return std::vector<TensorShape>({ outputShape });
void Slice(const TensorInfo &inputInfo, const SliceDescriptor &descriptor, const void *inputData, void *outputData, unsigned int dataTypeSize)
SliceLayer(const SliceDescriptor ¶m, const char *name)
Constructor to create a SliceLayer.
A SliceDescriptor for the SliceLayer.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Slice type.
void IgnoreUnused(Ts &&...)
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
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,...
void SetAdditionalInfo(QueueDescriptor &descriptor) const
ShapeInferenceMethod m_ShapeInferenceMethod
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Copyright (c) 2021 ARM Limited and Contributors.
const TensorInfo & GetTensorInfo() const override
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SliceLayer.
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.
const TensorShape & GetShape() const
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
std::vector< unsigned int > m_Size
Size of the slice in each dimension.
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
SliceLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
#define ARMNN_ASSERT(COND)
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.
const SliceDescriptor & GetParameters() const override
SliceDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).