class_docstr: The masks of a module, including the masks for weights, inputs, output
class_docstr_tok: ["The","masks","of","a","module",",","including","the","masks","for","weights",",","inputs",",","output"]
code: def __repr__(self):
      return "module_name: {}, input_mask: {}, output_mask: {}, param_masks: {}".format(
          self.module_name,
          self.input_mask,
          self.output_mask,
          self.param_masks,
      )
  
imports: import logging
  import torch
label_desc: Use image node_id 5 for calling the ModuleMasks obj's underlying member method code with example usage: obj.__repr__() and returns: str