code: def test_batch_sample_once(
      self, batch_size, device_count, store_on_device, get
  ):
      test_utils.stub_out_pmap(batching, device_count)
  
      x1, x2, init_fn, apply_fn, _, key = _get_inputs_and_model()
      kernel_fn = nt.empirical_kernel_fn(apply_fn)
      sample_once_fn = monte_carlo._sample_once_kernel_fn(
          kernel_fn, init_fn, device_count=0
      )
      batch_sample_once_fn = batching.batch(
          sample_once_fn, batch_size, device_count, store_on_device
      )
      one_sample = sample_once_fn(x1, x2, key, get)
      one_batch_sample = batch_sample_once_fn(x1, x2, key, get)
      self.assertAllClose(one_sample, one_batch_sample)
  
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 2 for calling the MonteCarloTest obj's underlying member method code with example usage: obj.test_batch_sample_once(batch_size, device_count, store_on_device, get) without return types