code: def sample(state: nnx.TrainState[VAE], z: jax.Array) -> jax.Array:
      return state.apply("params").generate(z)[0]
  
imports: import typing
  from functools import partial
  import jax
  import jax.numpy
  import matplotlib.pyplot
  import numpy
  import optax
  from datasets import load_dataset
  from flax.experimental import nnx
label_desc: Use image node_id 3 for calling a global function with example usage: sample(state, z) and returns: state