code: def gradient(x: Continuous, *, params=None) -> Continuous:
      r"""Gradient operator for continuous fields.
  
      Args:
        x: Continuous field
  
      Returns:
        The gradient of the field
      """
      get_x = x.get_fun
  
      def grad_fun(p, coords):
          f_jac = jax.jacfwd(get_x, argnums=(1,))
          v = f_jac(p, coords)[0][0]
          return v
  
      return x.update_fun_and_params(x.params, grad_fun)
  
imports: from typing import Union
  import jax
  import numpy
  from jax import numpy
  from jaxdf.conv import fd_coefficients_fornberg, reflection_conv
  from jaxdf.core import operator
  from jaxdf.discretization import Continuous, FiniteDifferences, FourierSeries
label_desc: Use image node_id 7 for calling a global function with example usage: gradient(x) and returns: x, v