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authorGravatar Dan Mané <danmane@google.com>2016-11-29 16:48:26 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-11-29 17:09:16 -0800
commit649095a159cf8dadeb49291bd5ad6fe6d8f52740 (patch)
treec546ae1b35c340b0f731e4ad5219dde58cdd7e97 /tensorflow/examples/how_tos
parent7c4333c3f4aac04140739cbd527247a7e07de014 (diff)
Replace tf.train.SummaryWriter with tf.summary.FileWriter
Change: 140545243
Diffstat (limited to 'tensorflow/examples/how_tos')
-rw-r--r--tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py2
-rw-r--r--tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py b/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py
index e9ca4e5520..ef3d21767a 100644
--- a/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py
+++ b/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py
@@ -91,7 +91,7 @@ def run_training():
sess.run(init_op)
# Instantiate a SummaryWriter to output summaries and the Graph.
- summary_writer = tf.train.SummaryWriter(FLAGS.train_dir, sess.graph)
+ summary_writer = tf.summary.FileWriter(FLAGS.train_dir, sess.graph)
# Start input enqueue threads.
coord = tf.train.Coordinator()
diff --git a/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py b/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py
index 4e41ab18e3..392309d543 100644
--- a/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py
+++ b/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py
@@ -101,7 +101,7 @@ def run_training():
feed_dict={labels_initializer: data_sets.train.labels})
# Instantiate a SummaryWriter to output summaries and the Graph.
- summary_writer = tf.train.SummaryWriter(FLAGS.train_dir, sess.graph)
+ summary_writer = tf.summary.FileWriter(FLAGS.train_dir, sess.graph)
# Start input enqueue threads.
coord = tf.train.Coordinator()