Switch all tf.concat(concat_dim, value, name) calls in third_party/tensorflow to tf.concat_v2(value, axis, name).

Change: 141255675

1 files changed, 3 insertions, 3 deletions

diff --git a/tensorflow/examples/udacity/6_lstm.ipynb b/tensorflow/examples/udacity/6_lstm.ipynb
index 6a9a5be964..159182c3fa 100644
--- a/tensorflow/examples/udacity/6_lstm.ipynb
+++ b/tensorflow/examples/udacity/6_lstm.ipynb
@@ -573,10 +573,10 @@
         "  with tf.control_dependencies([saved_output.assign(output),\n",
         "                                saved_state.assign(state)]):\n",
         "    # Classifier.\n",
-        "    logits = tf.nn.xw_plus_b(tf.concat(0, outputs), w, b)\n",
+        "    logits = tf.nn.xw_plus_b(tf.concat_v2(outputs, 0), w, b)\n",
         "    loss = tf.reduce_mean(\n",
         "      tf.nn.softmax_cross_entropy_with_logits(\n",
-        "        logits, tf.concat(0, train_labels)))\n",
+        "        logits, tf.concat_v2(train_labels, 0)))\n",
         "\n",
         "  # Optimizer.\n",
         "  global_step = tf.Variable(0)\n",
@@ -1066,4 +1066,4 @@
       ]
     }
   ]
-}
\ No newline at end of file
+}