6f6b0b30a04d95a26b297c219454bcd51f4f793e,rl_loop.py,,train,#Any#,71

Before Change

        save_file = os.path.join(fsdb.models_dir(), new_model_name)
        main.train(working_dir, [local_copy], save_file)
    except:
        logging.exception("Train error")
    finally:
        os.remove(local_copy)

After Change

        time.sleep(1*60)
    print("Using Golden File:", training_file)

    try:
        save_file = os.path.join(fsdb.models_dir(), new_model_name)
        print("Training model")
        dual_net.train(training_file)
        print("Exporting model to ", save_file)
        dual_net.export_model(working_dir, save_file)
    except Exception as e:
        import traceback
        logging.error(traceback.format_exc())
        print(traceback.format_exc())
        logging.exception("Train error")
        sys.exit(1)


def validate(working_dir, model_num=None, validate_name=None):
     Runs validate on the directories up to the most recent model, or up to
    (but not including) the model specified by `model_num`
    

Instances