class_docstr: Simple feedforward MLP torso with initial layer-norm.
  
  This module is an MLP which uses LayerNorm (with a tanh normalizer) on the
  first layer and non-linearities (elu) on all but the last remaining layers.
docstr: Forwards the policy network.
docstr_tok: ["Forwards","the","policy","network","."]
code: def __call__(self, observations: types.Nest) -> tf.Tensor:
      """Forwards the policy network."""
      return self._network(tf2_utils.batch_concat(observations))
  
imports: from typing import Callable, Optional, Sequence
  from acme import types
  from acme.tf import utils
  from acme.tf.networks import base
  import sonnet
  import tensorflow
label_desc: Use image node_id 2 for calling the LayerNormMLP obj's underlying member method code with example usage: obj.__call__(observations) and returns: self