From 48eb39442a403ac8f1a66b7e75d954efb4668b41 Mon Sep 17 00:00:00 2001
From: Lackey <lackey@lackey.com>
Date: Sat, 23 Feb 2019 21:18:53 -0500
Subject: [PATCH] Added timestamp to epoch output to see how long you've been
 training.

---
 models/ModelBase.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/models/ModelBase.py b/models/ModelBase.py
index aff68a4..4160f07 100644
--- a/models/ModelBase.py
+++ b/models/ModelBase.py
@@ -13,6 +13,8 @@ import numpy as np
 import cv2
 from samples import SampleGeneratorBase
 from nnlib import nnlib
+from datetime import datetime
+
 '''
 You can implement your own model. Check examples.
 '''
@@ -344,6 +346,9 @@ class ModelBase(object):
         for (loss_name, loss_value) in losses:
             loss_string += " %s:%.3f" % (loss_name, loss_value)
 
+        date_string = datetime.now().strftime("  [ T: %d/%b/%y, %H:%M:%S ]")
+        loss_string += date_string
+
         return loss_string
         
     def pass_one_epoch(self):