code: def __call__(self, x):
      for width in self.widths[:-1]:
          x = nn.relu(Dense(width)(x))
      return Dense(self.widths[-1])(x)
  
file_path: flax/examples/linen_design_test/autoencoder.py
imports: from typing import Iterable, Tuple
  import jax
  from jax import numpy, random
  from flax import linen
  from flax.linen import Module, Dense, compact
label_desc: Use image node_id 1 for calling the MLP obj's underlying member method code with example usage: obj.__call__(x) and returns: Dense