changes on the ppo.py

python/ppo.py

 hidden_units = int(options['--hidden-units'])
 batch_size = int(options['--batch-size'])
 
-env = UnityEnvironment(file_name=env_name, worker_id=worker_id, curriculum=curriculum_path)
+env = UnityEnvironment(file_name=env_name, worker_id=worker_id, curriculum=curriculum_file)
 print(str(env))
 brain_name = env.brain_names[0]
 
 
 
 def get_progress():
-    if use_curriculum:
+    if curriculum_file is not None:
         if env._curriculum.measure_type == "progress":
             return steps / max_steps
         elif env._curriculum.measure_type == "reward":
             trainer.update_model(batch_size, num_epoch)
         if steps % summary_freq == 0 and steps != 0 and train_model:
             # Write training statistics to tensorboard.
-            trainer.write_summary(summary_writer, steps)
+            trainer.write_summary(summary_writer, steps, env._curriculum.lesson_number)
         if steps % save_freq == 0 and steps != 0 and train_model:
             # Save Tensorflow model
             save_model(sess, model_path=model_path, steps=steps, saver=saver)