Class ov::op::v4::SoftPlus

class SoftPlus : public ov::op::util::UnaryElementwiseArithmetic

A Self Regularized Non-Monotonic Neural Activation Function f(x) = ln(exp(x) + 1.)

Public Functions

SoftPlus(const Output<Node> &arg)

Constructs an SoftPlus operation.

Parameters:

data – Input tensor

virtual void validate_and_infer_types() override

Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.

Throws if the node is invalid.

virtual bool has_evaluate() const override

Allows to get information about availability of evaluate method for the current operation.