class_docstr: Action distribution P(a1, a2) = P(a1) * P(a2 | a1)
code: def _a1_distribution(self):
      BATCH = self.inputs.shape[0]
      zeros = torch.zeros((BATCH, 1)).to(self.inputs.device)
      a1_logits, _ = self.model.action_module(self.inputs, zeros)
      a1_dist = TorchCategorical(a1_logits)
      return a1_dist
  
imports: from ray.rllib.models.tf.tf_action_dist import Categorical, ActionDistribution
  from ray.rllib.models.torch.torch_action_dist import TorchCategorical, TorchDistributionWrapper
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 7 for calling the TorchBinaryAutoregressiveDistribution obj's underlying member method code with example usage: obj._a1_distribution() and returns: a1_dist