Class ov::op::v4::Mish

class Mish : public ov::op::util::UnaryElementwiseArithmetic

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

Public Functions

Mish(const Output<Node> &arg)

Constructs an Mish 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.