add log level as an argument to create logger

ml-agents/mlagents/logging_util.py

 import logging
 
 
-def create_logger(name):
-    log_level = logging.INFO
+def create_logger(name, log_level=logging.INFO):
     date_format = "%Y-%m-%d %H:%M:%S"
     log_format = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
 

ml-agents/mlagents/trainers/learn.py

     except Exception:
         print("\n\n\tUnity Technologies\n")
     print(get_version_string())
-    trainer_logger = create_logger("mlagents.trainers")
-    env_logger = create_logger("mlagents_envs")
+    trainer_logger = create_logger("mlagents.trainers", log_level=logging.INFO)
+    env_logger = create_logger("mlagents_envs", log_level=logging.INFO)
-        trainer_logger.setLevel("INFO")
-        env_logger.setLevel("INFO")
-        # disable noisy warnings from tensorflow.
+        # disable noisy warnings from tensorflow
         tf_utils.set_warnings_enabled(False)
 
     trainer_logger.debug("Configuration for this run:")