code: def test_gradients(self):
      huber_loss = self.variant(self.loss_fn)
      xs = self.xs
      # Compute gradient in batch
      batch_grad_func = jax.vmap(jax.grad(huber_loss), (0))
      actual = batch_grad_func(xs)
      np.testing.assert_allclose(actual, self.dys)
  
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 4 for calling the HuberLossTest obj's underlying member method code with example usage: obj.test_gradients() without return types