code: def predict(data):
      (
          predictions,
          updated_non_trainable_variables,
      ) = model.stateless_call(
          device_train_state.trainable_variables,
          device_train_state.non_trainable_variables,
          data,
      )
      return predictions
  
file_path: keras/examples/demo_jax_distributed.py
imports: import os, pprint, collections
  import jax
  import jax.numpy
  import tensorflow
  import keras
  import numpy
  from tqdm import tqdm
  from jax.experimental import mesh_utils
  from jax.sharding import Mesh
  from jax.sharding import NamedSharding
  from jax.sharding import PartitionSpec
label_desc: Use image node_id 5 for calling a global function with example usage: predict(data) and returns: predictions