class_docstr: Categorical MLP Model.
  
  A model represented by a Categorical distribution
  which is parameterized by a multilayer perceptron (MLP).
  
  Args:
      output_dim (int): Dimension of the network output.
      hidden_sizes (list[int]): Output dimension of dense layer(s).
          For example, (32, 32) means this MLP consists of two
          hidden layers, each with 32 hidden units.
      name (str): Model name, also the variable scope.
      hidden_nonlinearity (callable): Activation function for intermediate
          dense layer(s). It should return a tf.Tensor. Set it to
          None to maintain a linear activation.
      hidden_w_init (callable): Initializer function for the weight
          of intermediate dense layer(s). The function should return a
          tf.Tensor.
      hidden_b_init (callable): Initializer function for the bias
          of intermediate dense layer(s). The function should return a
          tf.Tensor.
      output_nonlinearity (callable): Activation function for output dense
          layer. It should return a tf.Tensor. Set it to None to
          maintain a linear activation.
      output_w_init (callable): Initializer function for the weight
          of output dense layer(s). The function should return a
          tf.Tensor.
      output_b_init (callable): Initializer function for the bias
          of output dense layer(s). The function should return a
          tf.Tensor.
      layer_normalization (bool): Bool for using layer normalization or not.
docstr: Network output spec.
  
  Returns:
      list[str]: Name of the model outputs, in order.
code: def network_output_spec(self):
      """Network output spec.
  
      Returns:
          list[str]: Name of the model outputs, in order.
  
      """
      return ["dist"]
  
file_path: garage/src/garage/tf/models/categorical_mlp_model.py
imports: import tensorflow
  import tensorflow_probability
  from garage.experiment import deterministic
  from garage.tf.models.mlp_model import MLPModel
label_desc: Use image node_id 2 for calling the CategoricalMLPModel obj's underlying member method code with example usage: obj.network_output_spec() and returns: list