original_docstring: Convert model output tensor to character indexes and scores.
          Args:
              output (tensor): The model outputs with size: N * T * C
          Returns:
              indexes (list[list[int]]): [[1,2,3,3,4], [5,4,6,3,7]].
              scores (list[list[float]]): [[0.9,0.8,0.95,0.97,0.94],
                  [0.9,0.9,0.98,0.97,0.96]].
          
docstring: Convert model output tensor to character indexes and scores.
docstring_tokens: Convert model output tensor to character indexes and scores .
code: def tensor2idx(self, output):
          """Convert model output tensor to character indexes and scores.
          Args:
              output (tensor): The model outputs with size: N * T * C
          Returns:
              indexes (list[list[int]]): [[1,2,3,3,4], [5,4,6,3,7]].
              scores (list[list[float]]): [[0.9,0.8,0.95,0.97,0.94],
                  [0.9,0.9,0.98,0.97,0.96]].
          """
          raise NotImplementedError
code_tokens: def tensor2idx ( self , output ) : raise NotImplementedError
short_docstring: Convert model output tensor to character indexes and scores.
short_docstring_tokens: Convert model output tensor to character indexes and scores .
comment: """Convert model output tensor to character indexes and scores.
          Args:
              output (tensor): The model outputs with size: N * T * C
          Returns:
              indexes (list[list[int]]): [[1,2,3,3,4], [5,4,6,3,7]].
              scores (list[list[float]]): [[0.9,0.8,0.95,0.97,0.94],
                  [0.9,0.9,0.98,0.97,0.96]].
          """