code: def test_monte_carlo_vs_analytic_ntk(
      self, batch_size, device_count, store_on_device
  ):
      test_utils.stub_out_pmap(batching, device_count)
  
      (
          x1,
          x2,
          init_fn,
          apply_fn,
          stax_kernel_fn,
          key,
      ) = _get_inputs_and_model(
          WIDTH, 2, jax.default_backend() == "tpu"
      )
  
      sample = monte_carlo.monte_carlo_kernel_fn(
          init_fn,
          apply_fn,
          key,
          100,
          batch_size,
          device_count,
          store_on_device,
          vmap_axes=0,
      )
  
      ker_empirical = sample(x1, x2, "ntk")
      ker_analytic = stax_kernel_fn(x1, x2, "ntk")
  
      test_utils.assert_close_matrices(
          self, ker_analytic, ker_empirical, 2e-2
      )
  
file_path: neural-tangents/tests/monte_carlo_test.py
imports: from absl.testing import absltest
  import jax
  from jax import config
  from jax import random
  import jax.numpy
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src import batching
  from neural_tangents._src import monte_carlo
  from tests import test_utils
label_desc: Use image node_id 4 for calling the MonteCarloTest obj's underlying member method code with example usage: obj.test_monte_carlo_vs_analytic_ntk(batch_size, device_count, store_on_device) without return types