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-rw-r--r--tensorflow/examples/tutorials/mnist/fully_connected_feed.py4
1 files changed, 3 insertions, 1 deletions
diff --git a/tensorflow/examples/tutorials/mnist/fully_connected_feed.py b/tensorflow/examples/tutorials/mnist/fully_connected_feed.py
index 773d467827..5ab6024c2b 100644
--- a/tensorflow/examples/tutorials/mnist/fully_connected_feed.py
+++ b/tensorflow/examples/tutorials/mnist/fully_connected_feed.py
@@ -19,6 +19,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
+import os.path
import time
from six.moves import xrange # pylint: disable=redefined-builtin
@@ -198,7 +199,8 @@ def run_training():
# Save a checkpoint and evaluate the model periodically.
if (step + 1) % 1000 == 0 or (step + 1) == FLAGS.max_steps:
- saver.save(sess, FLAGS.train_dir, global_step=step)
+ checkpoint_file = os.path.join(FLAGS.train_dir, 'checkpoint')
+ saver.save(sess, checkpoint_file, global_step=step)
# Evaluate against the training set.
print('Training Data Eval:')
do_eval(sess,