code: def test_distribute_input_data(self):
      # This test only verify the single worker/process behavior.
      # The multi-process test lives in g3.
      jax_mesh = jax.sharding.Mesh(
          np.array(jax.devices()).reshape(2, 4), ("batch", "model")
      )
  
      input_data = jax.numpy.array(np.random.normal(size=(16, 8)))
      target_layout = jax.sharding.NamedSharding(
          jax_mesh, jax.sharding.PartitionSpec("batch", None)
      )
  
      result = backend_dlib.distribute_variable(
          input_data, target_layout
      )
      # Note that the returned tensor has a different sharding implementation
      # which is GSPMDSharding, but it should be equivalent as the target
      # layout specified.
      self.assertTrue(
          result.sharding.is_equivalent_to(target_layout, ndim=2)
      )
  
imports: import functools
  import os
  from unittest import mock
  import jax
  import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
  from keras.backend import distribution_lib
  from keras.distribution import distribution_lib
label_desc: Use image node_id 8 for calling the JaxDistributionLibTest obj's underlying member method code with example usage: obj.test_distribute_input_data() without return types