code: def _to_jax_mesh(device_mesh):
      """Convert the DeviceMesh to JAX backend specific Mesh.
  
      Args:
          device_mesh: DeviceMesh instance to convert.
  
      Returns:
          A `jax.sharding.Mesh` instance.
      """
      shape = device_mesh.devices.shape
      devices = [
          _to_jax_device(d) for d in device_mesh.devices.flatten()
      ]
      devices = np.array(devices).reshape(shape)
      return jax.sharding.Mesh(devices, device_mesh.axis_names)
  
file_path: keras/keras/backend/jax/distribution_lib.py
imports: import jax
  import numpy
  from keras.utils import jax_utils
label_desc: Use image node_id 9 for calling a global function with example usage: _to_jax_mesh(device_mesh) and returns: jax