code: def value_and_grad(func):
      def grad_fn(xs):
          grads = ivy.nested_map(
              lambda x: ivy.zeros_like(x),
              xs,
              include_derived=True,
              shallow=False,
          )
          with tf.GradientTape(watch_accessed_variables=False) as tape:
              xs = ivy.nested_map(
                  lambda x: ivy.to_native(x), xs, include_derived=True
              )
              tape.watch(xs)
              y = func(xs)
          y = y.to_native(y)
          grads_ = tape.gradient(y, xs)
          grads_ = ivy.nested_map(
              lambda x: ivy.to_ivy(x),
              grads_,
              include_derived=True,
          )
          grads_ = ivy.to_ivy(grads_)
          grad_idxs = ivy.nested_argwhere(
              grads_, lambda x: ivy.is_ivy_array(x)
          )
          grad_array_vals = list(
              ivy.multi_index_nest(grads_, grad_idxs)
          )
          xs = ivy.to_ivy(xs)
          if isinstance(xs, ivy.Array):
              grads = grads_
          else:
              ivy.set_nest_at_indices(grads, grad_idxs, grad_array_vals)
          y = ivy.to_ivy(y)
          return y, grads
  
      return grad_fn
  
file_path: ivy/ivy/functional/backends/tensorflow/gradients.py
imports: import tensorflow
  from typing import Sequence, Union, Optional, Callable
  import ivy
  from ivy.func_wrapper import outputs_to_ivy_arrays, inputs_to_native_arrays
  from ivy.functional.ivy.gradients import _get_required_float_variables, _get_y_and_ret_idxs, _get_native_y, _set_duplicates, _process_func_ret_and_grads
label_desc: Use image node_id 6 for calling a global function with example usage: value_and_grad(func) and returns: grad_fn, y,  grads