code: def __init__(
      self,
      din: int,
      hidden_size: int,
      latent_size: int,
      output_shape: tp.Sequence[int],
      *,
      rngs: nnx.Rngs,
  ):
      self.output_shape = output_shape
      self.encoder = Encoder(din, hidden_size, latent_size, rngs=rngs)
      self.decoder = Decoder(
          latent_size,
          hidden_size,
          int(np.prod(output_shape)),
          rngs=rngs,
      )
  
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 1 to create a new VAE object from inherited base classes: nnx with example: obj = VAE(din, hidden_size, latent_size, output_shape)