code: def test_clip_huber_equivalence(self, td_error):
      @self.variant
      def td_error_with_clip(x):
          return 0.5 * jnp.square(
              clipping.clip_gradient(
                  x, -self.large_delta, self.large_delta
              )
          )
  
      @self.variant
      def td_error_with_huber(x):
          return clipping.huber_loss(x, self.large_delta)
  
      td_error = jnp.array(td_error)
      # Compute gradient in batch
      clip_grad = jax.grad(td_error_with_clip)(td_error)
      huber_grad = jax.grad(td_error_with_huber)(td_error)
      np.testing.assert_allclose(clip_grad, huber_grad)
  
imports: import functools
  from absl.testing import absltest
  from absl.testing import parameterized
  import chex
  import jax
  import jax.numpy
  import numpy
  from rlax._src import clipping
label_desc: Use image node_id 2 for calling the EquivalenceTest obj's underlying member method code with example usage: obj.test_clip_huber_equivalence(td_error) and returns: unknown, clipping