code: def tril_indices(
      n_rows: int,
      n_cols: Optional[int] = None,
      k: int = 0,
      /,
      *,
      device: Optional[str] = None,
  ) -> Tuple[Union[tf.Tensor, tf.Variable], ...]:
      n_cols = n_rows if n_cols is None else n_cols
  
      if n_rows < 0 or n_cols < 0:
          n_rows, n_cols = 0, 0
  
      ret = [[], []]
  
      for i in range(-min(k, 0), n_rows, 1):
          for j in range(0, min(n_cols, k + i + 1), 1):
              ret[0].append(i)
              ret[1].append(j)
  
      return tuple(tf.convert_to_tensor(ret, dtype=tf.int64))
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/creation.py
imports: from typing import Union, Optional, Tuple
  import tensorflow
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
  from ..None import backend_version
label_desc: Use image node_id 5 for calling a global function with example usage: tril_indices() and returns: tuple