code: def __call__(
      self, x: jnp.ndarray
  ) -> jnp.ndarray:  # pylint: disable=W0221
      x = nn.Conv(features=32, kernel_size=(3, 3))(x)
      x = nn.relu(x)
      x = nn.avg_pool(x, window_shape=(2, 2), strides=(2, 2))
      x = nn.Conv(features=64, kernel_size=(3, 3))(x)
      x = nn.relu(x)
      x = nn.avg_pool(x, window_shape=(2, 2), strides=(2, 2))
      x = x.reshape((x.shape[0], -1))
      x = nn.Dense(features=256)(x)
      x = nn.relu(x)
      x = nn.Dense(features=10)(x)
      return x
  
imports: from __future__ import annotations
  import argparse
  import os
  import typing
  from typing import TYPE_CHECKING
  import attrs
  import cattrs
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow_datasets
  from flax import linen
  from flax import serialization
  from flax.metrics import tensorboard
  from flax.training import train_state
  import bentoml
  from bentoml._internal.utils.pkg import pkg_version_info
label_desc: Use image node_id 1 for calling the CNN obj's underlying member method code with example usage: obj.__call__(x) and returns: x