code: def mlp_2dense(activation: str = None) -> Model:
      return base.mlp_2dense(
          INPUT_SHAPE,
          N_OUTPUTS,
          activation=activation,
          dense_units=DENSE_UNITS,
          dropout_rate=DROPOUT,
      )
  
imports: from __future__ import annotations
  import tensorflow.keras.backend
  from innvestigate.backend.types import Model
  from tests.networks import base
label_desc: Use image node_id 2 for calling a global function with example usage: mlp_2dense(activation) and returns: base