code: def _custom_grad(f_vjp, f_original):
      f_ = jax.custom_transforms(f_original)
      jax.defvjp_all(f_, f_vjp)
      return f_
  
imports: import functools
  import jax
  from jax import lax
  from jax import random
  import jax.numpy
  import jax.scipy.special
  import numpy
  import tensorflow
  import tensorflow_datasets
  from trax.fastmath import numpy
  from trax.shapes import signature
label_desc: Use image node_id 11 for calling a global function with example usage: _custom_grad(f_vjp, f_original) and returns: f_