diff options
| author |  Illia Polosukhin <ipolosukhin@google.com> | 2016-11-03 14:46:06 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-03 16:09:01 -0700 |
| commit | cbd3cacfb73bbea912b9d01c2540187684f751a7 (patch) | |
| tree | c2c22af2d05583491b1370dcabdb2e83cb61e2ee /tensorflow/examples/tutorials/mnist | |
| parent | 703fce57eaae725c4ae4b0bd23629c4f04a9de16 (diff) | |
Replace usages initialize_all_variables -> global_variables_initializer
Change: 138128703
Diffstat (limited to 'tensorflow/examples/tutorials/mnist')
3 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/examples/tutorials/mnist/fully_connected_feed.py b/tensorflow/examples/tutorials/mnist/fully_connected_feed.py index 7e4d408110..f0b4711487 100644 --- a/tensorflow/examples/tutorials/mnist/fully_connected_feed.py +++ b/tensorflow/examples/tutorials/mnist/fully_connected_feed.py @@ -143,7 +143,7 @@ def run_training(): summary = tf.summary.merge_all() # Add the variable initializer Op. - init = tf.initialize_all_variables() + init = tf.global_variables_initializer() # Create a saver for writing training checkpoints. saver = tf.train.Saver(write_version=tf.train.SaverDef.V2) diff --git a/tensorflow/examples/tutorials/mnist/mnist_softmax.py b/tensorflow/examples/tutorials/mnist/mnist_softmax.py index beb184f775..9d00c0f9af 100644 --- a/tensorflow/examples/tutorials/mnist/mnist_softmax.py +++ b/tensorflow/examples/tutorials/mnist/mnist_softmax.py @@ -59,7 +59,7 @@ def main(_): sess = tf.InteractiveSession() # Train - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() for _ in range(1000): batch_xs, batch_ys = mnist.train.next_batch(100) sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) diff --git a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py index fc91ac4ddd..0e12a6571b 100644 --- a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py +++ b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py @@ -140,7 +140,7 @@ def train(): train_writer = tf.train.SummaryWriter(FLAGS.log_dir + '/train', sess.graph) test_writer = tf.train.SummaryWriter(FLAGS.log_dir + '/test') - tf.initialize_all_variables().run() + tf.global_variables_initializer().run() # Train the model, and also write summaries. # Every 10th step, measure test-set accuracy, and write test summaries |