code: def __init__(self, cfg: Config, *, rngs: nnx.Rngs):
      sharding = cfg.sharding
      self.Win1 = nnx.Param(
          dense_init(
              rngs.params(),
              (cfg.embed, cfg.hidden),
              cfg.param_dtype,
              0,
              1,
          ),
          P(sharding.embed, sharding.hidden),
      )
      self.Win2 = nnx.Param(
          dense_init(
              rngs.params(),
              (cfg.embed, cfg.hidden),
              cfg.param_dtype,
              0,
              1,
          ),
          P(sharding.embed, sharding.hidden),
      )
      self.Wout = nnx.Param(
          dense_init(
              rngs.params(),
              (cfg.hidden, cfg.embed),
              cfg.param_dtype,
              0,
              1,
          ),
          P(sharding.hidden, sharding.embed),
      )
  
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 1 to create a new MLP object from inherited base classes: nnx with example: obj = MLP(cfg)