class_docstr: Implementation of locked (or variational) dropout.
  
  Randomly drops out entire parameters in embedding space.
class_docstr_tok: ["Implementation","of","locked","(","or","variational",")","dropout",".","Randomly","drops","out","entire","parameters","in","embedding","space","."]
code: def extra_repr(self):
      inplace_str = ", inplace" if self.inplace else ""
      return f"p={self.dropout_rate}{inplace_str}"
  
file_path: flair/flair/nn/dropout.py
imports: import torch
label_desc: Use image node_id 3 for calling the LockedDropout obj's underlying member method code with example usage: obj.extra_repr() and returns: str, self, inplace_str