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31 return CloneBase<ElementwiseUnaryLayer>(graph,
m_Param,
GetName());
37 if (inputShapes.size() != 1)
39 throw armnn::Exception(
"inputShapes' size is \"" + std::to_string(inputShapes.size()) +
40 "\" - should be \"1\".");
45 return std::vector<TensorShape>({ input });
59 if (inferredShapes.size() != 1)
62 + std::to_string(inferredShapes.size()) +
63 " elements - should only have 1.");
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the elementwiseUnary type.
const char * GetLayerTypeAsCString(LayerType type)
const TensorInfo & GetTensorInfo() const override
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ElementwiseUnaryLayer.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
const ElementwiseUnaryDescriptor & GetParameters() const override
const char * GetName() const override
Returns the name of the layer.
ElementwiseUnaryDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Base class for all ArmNN exceptions so that users can filter to just those.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
const TensorShape & GetShape() const
ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor ¶m, const char *name)
Constructor to create a ElementwiseUnaryLayer.
Copyright (c) 2021 ARM Limited and Contributors.
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
This layer represents a elementwiseUnary operation.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Returns inputShapes by default.
ShapeInferenceMethod m_ShapeInferenceMethod
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
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
ElementwiseUnaryLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.