From a8d3100011a512b3ae7eded8be60d268f73f412e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=BC=A0=E6=B4=8B=E6=B4=8B?=
 <10527367+yang-yang-zhang123456@user.noreply.gitee.com>
Date: Thu, 7 Apr 2022 07:49:40 +0000
Subject: [PATCH] update
 TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py.

---
 TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py b/TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py
index a02c70345..b8893c80b 100644
--- a/TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py
+++ b/TensorFlow/contrib/cv/LMTCNN_ID1278_for_TensorFlow/train.py
@@ -233,13 +233,13 @@ def main(argv=None):
 			iterator = dataset.make_one_shot_iterator()
 			images0, agelabels0, genderlabels0 = iterator.get_next()
 			for step in range(num_steps):
-				start_time = time.time()
+				#start_time = time.time()
 
 				images, agelabels_1, genderlabels_1 = sess.run([images0, agelabels0, genderlabels0])
 				# images1 = (np.reshape(images,(FLAGS.batch_size,227,227,3))).astype(np.float32)
 				agelabels_1 = (np.reshape(agelabels_1, (FLAGS.batch_size))).astype(np.int32)
 				genderlabels_1 = (np.reshape(genderlabels_1, (FLAGS.batch_size))).astype(np.int32)
-
+                start_time = time.time()
 				_,totallossvalue, agelossvalue, genderlossvalue = sess.run([ agegendertrain_op, totallosses, agelosses, genderlosses],
 																		   feed_dict = {images_holder:images,agelabels_holder: agelabels_1, genderlabels_holder:genderlabels_1})
 				duration = time.time() - start_time
-- 
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