code: def __call__(self, x: jax.Array) -> jax.Array:
      x = x.reshape((x.shape[0], -1))
      x = self.linear1(x)
      x = jax.nn.gelu(x)
      x = self.linear2(x)
      return x
  
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 2 for calling the MLP obj's underlying member method code with example usage: obj.__call__(x) and returns: x