code: def mixup_others(x, lam):
      """
      Mixup special types of data, especially for tuple.
      It is the simplest way of mixup for non image data.
      If lam >=0.5: choose the origin, else: choose the other one.
  
      Parameters
      -------
      x
          The target need to be mixed-up.
      lam
          The mixup lambda.
  
      Returns
      -------
      The mixed-up batch data with specific model.
      """
      if lam is None:
          lam = 1
      else:
          lam = round(lam)
      if isinstance(x, tuple):
          target = (
              pertarget * lam + pertarget.flip(0) * (1.0 - lam)
              for pertarget in x
          )
      else:
          target = x * lam + x.flip(0) * (1.0 - lam)
      return target
  
file_path: autogluon/multimodal/src/autogluon/multimodal/data/mixup.py
imports: import numpy
  import torch
  from timm.data.mixup import Mixup, cutmix_bbox_and_lam, mixup_target
label_desc: Use image node_id 1 for calling a global function with example usage: mixup_others(x, lam) and returns: target