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authorGravatar Illia Polosukhin <ipolosukhin@google.com>2016-11-03 14:46:06 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-11-03 16:09:01 -0700
commitcbd3cacfb73bbea912b9d01c2540187684f751a7 (patch)
treec2c22af2d05583491b1370dcabdb2e83cb61e2ee /tensorflow/examples/udacity
parent703fce57eaae725c4ae4b0bd23629c4f04a9de16 (diff)
Replace usages initialize_all_variables -> global_variables_initializer
Change: 138128703
Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r--tensorflow/examples/udacity/2_fullyconnected.ipynb4
-rw-r--r--tensorflow/examples/udacity/4_convolutions.ipynb2
-rw-r--r--tensorflow/examples/udacity/5_word2vec.ipynb2
-rw-r--r--tensorflow/examples/udacity/6_lstm.ipynb2
4 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/examples/udacity/2_fullyconnected.ipynb b/tensorflow/examples/udacity/2_fullyconnected.ipynb
index 2d1dfa2fba..8a845171a4 100644
--- a/tensorflow/examples/udacity/2_fullyconnected.ipynb
+++ b/tensorflow/examples/udacity/2_fullyconnected.ipynb
@@ -344,7 +344,7 @@
" # This is a one-time operation which ensures the parameters get initialized as\n",
" # we described in the graph: random weights for the matrix, zeros for the\n",
" # biases. \n",
- " tf.initialize_all_variables().run()\n",
+ " tf.global_variables_initializer().run()\n",
" print('Initialized')\n",
" for step in range(num_steps):\n",
" # Run the computations. We tell .run() that we want to run the optimizer,\n",
@@ -511,7 +511,7 @@
"num_steps = 3001\n",
"\n",
"with tf.Session(graph=graph) as session:\n",
- " tf.initialize_all_variables().run()\n",
+ " tf.global_variables_initializer().run()\n",
" print(\"Initialized\")\n",
" for step in range(num_steps):\n",
" # Pick an offset within the training data, which has been randomized.\n",
diff --git a/tensorflow/examples/udacity/4_convolutions.ipynb b/tensorflow/examples/udacity/4_convolutions.ipynb
index ecddcf4369..464d2c836e 100644
--- a/tensorflow/examples/udacity/4_convolutions.ipynb
+++ b/tensorflow/examples/udacity/4_convolutions.ipynb
@@ -338,7 +338,7 @@
"num_steps = 1001\n",
"\n",
"with tf.Session(graph=graph) as session:\n",
- " tf.initialize_all_variables().run()\n",
+ " tf.global_variables_initializer().run()\n",
" print('Initialized')\n",
" for step in range(num_steps):\n",
" offset = (step * batch_size) % (train_labels.shape[0] - batch_size)\n",
diff --git a/tensorflow/examples/udacity/5_word2vec.ipynb b/tensorflow/examples/udacity/5_word2vec.ipynb
index f932f62e28..ec6413a0a3 100644
--- a/tensorflow/examples/udacity/5_word2vec.ipynb
+++ b/tensorflow/examples/udacity/5_word2vec.ipynb
@@ -509,7 +509,7 @@
"num_steps = 100001\n",
"\n",
"with tf.Session(graph=graph) as session:\n",
- " tf.initialize_all_variables().run()\n",
+ " tf.global_variables_initializer().run()\n",
" print('Initialized')\n",
" average_loss = 0\n",
" for step in range(num_steps):\n",
diff --git a/tensorflow/examples/udacity/6_lstm.ipynb b/tensorflow/examples/udacity/6_lstm.ipynb
index 75a7027784..6a9a5be964 100644
--- a/tensorflow/examples/udacity/6_lstm.ipynb
+++ b/tensorflow/examples/udacity/6_lstm.ipynb
@@ -656,7 +656,7 @@
"summary_frequency = 100\n",
"\n",
"with tf.Session(graph=graph) as session:\n",
- " tf.initialize_all_variables().run()\n",
+ " tf.global_variables_initializer().run()\n",
" print('Initialized')\n",
" mean_loss = 0\n",
" for step in range(num_steps):\n",