commit 5f48f2e883c67f52af676a8649d13935f697e55a
author Siju Samuel <siju.samuel@huawei.com> Mon Jul 08 11:07:35 2019 +0530
committer Siju Samuel <siju.samuel@huawei.com> Mon Jul 08 11:10:16 2019 +0530
tree 36c1abc965a4102677d3223a16aa6d7725cc69d3
parent fa4de2ca7aecb6b474c336b975b4563f4c7b7486

Deprecated tf.random_normal to tf.random.normal in bidirectional_sequence_lstm_test

tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_lstm_test.py

diff --git a/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_lstm_test.py b/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_lstm_test.py
index 296d83d..35c807c 100644
--- a/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_lstm_test.py
+++ b/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_lstm_test.py
@@ -86,8 +86,8 @@
     """
     # Weights and biases for output softmax layer.
     out_weights = tf.Variable(
-        tf.random_normal([self.num_units * 2, self.n_classes]))
-    out_bias = tf.Variable(tf.random_normal([self.n_classes]))
+        tf.random.normal([self.num_units * 2, self.n_classes]))
+    out_bias = tf.Variable(tf.random.normal([self.n_classes]))
 
     # input image placeholder
     x = tf.placeholder(