code: def forward(
      state: nnx.TrainState[MLP], inputs: jax.Array
  ) -> jax.Array:
      y_pred = state.apply("params")(inputs)[0]
      return jnp.argmax(y_pred, axis=-1)
  
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 10 for calling a global function with example usage: forward(state, inputs) and returns: jnp