code: def test_hermite(self, same_inputs, degree, get, readout):
      key = random.PRNGKey(1)
      key1, key2, key = random.split(key, 3)
  
      if degree > 2:
          width = 10000
          n_samples = 5000
          test_utils.skip_test(self)
      else:
          width = 10000
          n_samples = 100
  
      x1 = jnp.cos(random.normal(key1, [2, 6, 6, 3]))
      x2 = (
          x1
          if same_inputs
          else jnp.cos(random.normal(key2, [3, 6, 6, 3]))
      )
  
      conv_layers = [
          stax.Conv(width, (3, 3), W_std=2.0, b_std=0.5),
          stax.LayerNorm(),
          stax.Hermite(degree),
          stax.GlobalAvgPool() if readout == "pool" else stax.Flatten(),
          stax.Dense(1) if get == "ntk" else stax.Identity(),
      ]
  
      init_fn, apply_fn, kernel_fn = stax.serial(*conv_layers)
      analytic_kernel = kernel_fn(x1, x2, get)
      mc_kernel_fn = nt.monte_carlo_kernel_fn(
          init_fn, apply_fn, key, n_samples
      )
      mc_kernel = mc_kernel_fn(x1, x2, get)
      rot = degree / 2.0 * 1e-2
      test_utils.assert_close_matrices(
          self, mc_kernel, analytic_kernel, rot
      )
  
imports: import itertools
  import random
  from absl.testing import absltest
  from jax import config
  from jax import default_backend
  from jax import grad, jacfwd, jacrev, jit, jvp, value_and_grad
  from jax import random
  import jax.numpy
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from tests import test_utils
label_desc: Use image node_id 12 for calling the ActivationTest obj's underlying member method code with example usage: obj.test_hermite(same_inputs, degree, get, readout) without return types