rename to exported model output

ml-agents/mlagents/trainers/torch/distributions.py

         pass
 
     @abc.abstractmethod
-    def action_out(self) -> torch.Tensor:
+    def exported_model_output(self) -> torch.Tensor:
         """
         Returns the tensor to be exported to ONNX for the distribution
         """
     def entropy(self):
         return 0.5 * torch.log(2 * math.pi * math.e * self.std + EPSILON)
 
-    def action_out(self):
+    def exported_model_output(self):
         return self.sample()
 
 
     def entropy(self):
         return -torch.sum(self.probs * torch.log(self.probs), dim=-1)
 
-    def action_out(self):
+    def exported_model_output(self):
         return self.all_log_prob()
 
 

ml-agents/mlagents/trainers/torch/networks.py

         Note: This forward() method is required for exporting to ONNX. Don't modify the inputs and outputs.
         """
         dists, _ = self.get_dists(vec_inputs, vis_inputs, masks, memories, 1)
-        action_out = torch.cat([dist.action_out() for dist in dists], dim=1)
+        action_out = torch.cat([dist.exported_model_output() for dist in dists], dim=1)
         return (
             action_out,
             self.version_number,