class_docstr: Helper class to simplify the handling of gradient buckets
class_docstr_tok: ["Helper","class","to","simplify","the","handling","of","gradient","buckets"]
docstr: Reset the counter of the parameter grads which have been checked in
docstr_tok: ["Reset","the","counter","of","the","parameter","grads","which","have","been","checked","in"]
code: def reset_checked_in(self) -> None:
      """Reset the counter of the parameter grads which have been checked in"""
      self.params_checked_in = 0
      self.sent = False
  
imports: from typing import Any, Callable, List, Optional, Union
  import torch
label_desc: Use image node_id 2 for calling the GradBucket obj's underlying member method code with example usage: obj.reset_checked_in() without return types