code: def fliplr(m):
      """
      Flip tensor in the left/right direction.
  
      Flip the entries in each row in the left/right direction.
      Columns are preserved, but appear in a different order than before.
  
      Parameters
      ----------
      m : array_like
          Input tensor, must be at least 2-D.
  
      Returns
      -------
      f : Tensor
          A view of `m` with the columns reversed.  Since a view
          is returned, this operation is :math:`\\mathcal O(1)`.
  
      See Also
      --------
      flipud : Flip array in the up/down direction.
      rot90 : Rotate array counterclockwise.
  
      Notes
      -----
      Equivalent to m[:,::-1]. Requires the tensor to be at least 2-D.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> A = mt.diag([1.,2.,3.])
      >>> A.execute()
      array([[ 1.,  0.,  0.],
             [ 0.,  2.,  0.],
             [ 0.,  0.,  3.]])
      >>> mt.fliplr(A).execute()
      array([[ 0.,  0.,  1.],
             [ 0.,  2.,  0.],
             [ 3.,  0.,  0.]])
  
      >>> A = mt.random.randn(2,3,5)
      >>> mt.all(mt.fliplr(A) == A[:,::-1,...]).execute()
      True
  
      """
      return flip(m, 1)
  
label_desc: Use image node_id 1 for calling a global function with example usage: fliplr(m) and returns: flip