Dropout

Dropout(p=0.5, inplace=False)

Zero each element with probability p and scale the rest by 1 / (1 - p) while the module is in training mode; in evaluation mode the input passes through unchanged (the same tensor object).

forward

forward(self, input: 'Tensor') -> 'Tensor'

forward(input) -> Tensor