class_docstr: Helper class to simplify the handling of gradient buckets
class_docstr_tok: ["Helper","class","to","simplify","the","handling","of","gradient","buckets"]
docstr: Have all the expected gradient check-in happened ?
docstr_tok: ["Have","all","the","expected","gradient","check-in","happened","?"]
code: def all_checked_in(self) -> bool:
      """Have all the expected gradient check-in happened ?"""
      return len(self._params) == self.params_checked_in
  
imports: from typing import Any, Callable, List, Optional, Union
  import torch
label_desc: Use image node_id 3 for calling the GradBucket obj's underlying member method code with example usage: obj.all_checked_in() and returns: unknown