code: def value_and_grad(func: Callable) -> Callable:
      """Create a function that evaluates both func and the gradient of func.
  
      Parameters
      ----------
      func
          Function for which we compute the gradients of the output with respect to xs
          input.
  
      Returns
      -------
      ret
          A function that returns both func and the gradient of func.
  
      Examples
      --------
      With :class:`ivy.Array` input:
  
      >>> 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.value_and_grad(func)
      >>> value_grad = grad_fn(x)
      >>> print(value_grad)
      (ivy.array(16.42333412), ivy.array([[1.5333333 , 0.69999999, 1.66666675],
             [0.93333334, 0.43333334, 2.0666666 ]]))
      """
      return current_backend(None).value_and_grad(func)
  
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 22 for calling a global function with example usage: value_and_grad(func) and returns: current_backend