parameters: (self, new_decr_every_n_nan_or_inf)
docstring: Set the num `n` by `new_decr_every_n_nan_or_inf`, `n` represent decreases loss scaling every `n` accumulated steps with nan or inf gradients.
  
          Args:
              new_decr_every_n_nan_or_inf(int):  The new_decr_every_n_nan_or_inf used to update the num `n`, `n` represent decreases loss scaling every `n` accumulated steps with nan or inf gradients.
docstring_summary: Set the num `n` by `new_decr_every_n_nan_or_inf`, `n` represent decreases loss scaling every `n` accumulated steps with nan or inf gradients.
docstring_tokens: Set the num n by new_decr_every_n_nan_or_inf n represent decreases loss scaling every n accumulated steps with nan or inf gradients .
function: def set_decr_every_n_nan_or_inf(self, new_decr_every_n_nan_or_inf):
          """
          Set the num `n` by `new_decr_every_n_nan_or_inf`, `n` represent decreases loss scaling every `n` accumulated steps with nan or inf gradients.
  
          Args:
              new_decr_every_n_nan_or_inf(int):  The new_decr_every_n_nan_or_inf used to update the num `n`, `n` represent decreases loss scaling every `n` accumulated steps with nan or inf gradients.
          """
          self._decr_every_n_nan_or_inf = new_decr_every_n_nan_or_inf
function_tokens: def set_decr_every_n_nan_or_inf ( self , new_decr_every_n_nan_or_inf ) : self . _decr_every_n_nan_or_inf = new_decr_every_n_nan_or_inf