class_docstr: Raised when the utt is too short for subsampling.
  
  Args:
      message (str): Message for error catch
      actual_size (int): the short size that cannot pass the subsampling
      limit (int): the limit size for subsampling
class_docstr_tok: ["Raised","when","the","utt","is","too","short","for","subsampling",".","Args",":","message","(","str",")",":","Message","for","error","catch","actual_size","(","int",")",":","the","short","size","that","can","not","pass","the","subsampling","limit","(","int",")",":","the","limit","size","for","subsampling"]
docstr: Construct a TooShortUttError for error handler.
code: def __init__(self, message, actual_size, limit):
      """Construct a TooShortUttError for error handler."""
      super().__init__(message)
      self.actual_size = actual_size
      self.limit = limit
  
imports: import torch
  from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding
label_desc: Use image node_id 1 to create a new TooShortUttError object from inherited base classes: Exception with example: obj = TooShortUttError(message, actual_size, limit)