code: def tril_indices_from(arr, k=0):
      """Returns the indices for the lower-triangle of arr.
  
      Parameters
      ----------
      arr : cupy.ndarray
            The indices are valid for square arrays
            whose dimensions are the same as arr.
      k : int, optional
          Diagonal offset.
  
      See Also
      --------
      numpy.tril_indices_from
  
      """
  
      if arr.ndim != 2:
          raise ValueError("input array must be 2-d")
      return tril_indices(arr.shape[-2], k=k, m=arr.shape[-1])
  
imports: import functools
  import numbers
  import operator
  import numpy
  import cupy
  from cupy._creation import from_data
  from cupy._manipulation import join
label_desc: Use image node_id 7 for calling a global function with example usage: tril_indices_from(arr, k) and returns: tril_indices