code: def value_and_grad(f, argnums=0, has_aux=False):
      """Returns the gradient function for `f`."""
  
      @functools.wraps(f)
      def wrapper(*args, **kwargs):
          """Computes `f` and returns derivatives of the output wrt input(s)."""
          params = tree.map_structure(args.__getitem__, argnums)
          with tf.GradientTape(watch_accessed_variables=False) as tape:
              tree.map_structure(tape.watch, params)
              out = f(*args, **kwargs)
          if has_aux:
              out, aux = out
          grads = tape.gradient(out, params)
          if has_aux:
              return (out, aux), grads
          else:
              return out, grads
  
      return wrapper
  
file_path: sonnet/sonnet/src/functional/jax.py
imports: import functools
  from sonnet.src.functional import utils
  import tensorflow
  import tree
label_desc: Use image node_id 5 for calling a global function with example usage: value_and_grad(f, argnums, has_aux) and returns: wrapper, out,  aux,  grads, out,  grads