code: def __call__(self, cfg: Config, x, *, rngs: nnx.Rngs):
      h1 = jnp.einsum("bse,eh->bsh", x, self.Win1.astype(cfg.dtype))
      h2 = jnp.einsum("bse,eh->bsh", x, self.Win2.astype(cfg.dtype))
      h = jax.nn.gelu(h1) * h2
      h = dropout(cfg, h, rngs=rngs)
      o = jnp.einsum("bsh,he->bse", h, self.Wout.astype(cfg.dtype))
      return o
  
imports: import dataclasses
  import typing
  import jax
  import jax.numpy
  import numpy
  from jax.sharding import PartitionSpec
  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__(cfg, x) and returns: o