code: def _stop_grad_and_index(func_ret, retain_grads, grads):
      """Stop gradient propagation of the function results."""
      if not retain_grads:
          func_ret = ivy.nested_map(
              lambda x: ivy.stop_gradient(x) if ivy.is_array(x) else x,
              func_ret,
              include_derived=True,
          )
      if isinstance(grads, dict):
          grads = ivy.Container(grads)
      return func_ret, grads
  
imports: from typing import Sequence, Union, Optional, Tuple, Callable
  import numpy
  import itertools
  import ivy
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, inputs_to_ivy_arrays, to_native_arrays_and_back, handle_out_argument, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 9 for calling a global function with example usage: _stop_grad_and_index(func_ret, retain_grads, grads) and returns: func_ret,  grads