code: def grad(
      func: Callable, argnums: Union[int, Sequence[int]] = 0
  ) -> Callable:
      """Call function func, and return func's gradients.
  
      Parameters
      ----------
      func
          Function for which we compute the gradients of the output with respect to xs
          input.
      argnums
          Indices of the input arrays to compute gradients with respect to. Default is 0.
  
      Returns
      -------
      ret
          the grad function
  
      Examples
      --------
      >>> x = ivy.array([[4.6, 2.1, 5], [2.8, 1.3, 6.2]])
      >>> func = lambda x: ivy.mean(ivy.square(x))
      >>> grad_fn = ivy.grad(func)
      >>> grad = grad_fn(x)
      >>> print(grad)
      ivy.array([[1.53 , 0.7  , 1.67 ],
      ...        [0.933, 0.433, 2.07 ]])
      """
      return current_backend(None).grad(func, argnums=argnums)
  
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 24 for calling a global function with example usage: grad(func, argnums) and returns: current_backend