31 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
39 void Accept(ILayerVisitor& visitor)
const override;
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the PReLU type.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
PreluLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Copyright (c) 2021 ARM Limited and Contributors.
PreluLayer(const char *name)
Constructor to create a PreluLayer.
~PreluLayer()=default
Default destructor.
#define ARMNN_NO_DEPRECATE_WARN_END
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.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PreluLayer.