diff options
author | Andrew Selle <aselle@google.com> | 2016-12-16 08:25:51 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-12-16 08:44:39 -0800 |
commit | 5657fad879b51353b28043562d3d7c846ca7873f (patch) | |
tree | 3c9a99eb558e164756253dc86d5c21b07a20193f /tensorflow/contrib/losses | |
parent | 3ab66c1fb38fbf1d6953c9dcf0c7be5d871d7c25 (diff) |
Change remaining tf.mul -> tf.multiply, tf.neg -> tf.negative, and tf.sub -> tf.subtract
tf.negative, tf.multiply, tf.subtract are the new names
Change: 142262067
Diffstat (limited to 'tensorflow/contrib/losses')
-rw-r--r-- | tensorflow/contrib/losses/python/losses/__init__.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/losses/python/losses/__init__.py b/tensorflow/contrib/losses/python/losses/__init__.py index f53d4a000d..1b57f0baee 100644 --- a/tensorflow/contrib/losses/python/losses/__init__.py +++ b/tensorflow/contrib/losses/python/losses/__init__.py @@ -53,7 +53,7 @@ for a specific class: # Ensures that the loss for examples whose ground truth class is `3` is 5x # higher than the loss for all other examples. - weight = tf.mul(4, tf.cast(tf.equal(labels, 3), tf.float32)) + 1 + weight = tf.multiply(4, tf.cast(tf.equal(labels, 3), tf.float32)) + 1 onehot_labels = tf.one_hot(labels, num_classes=5) tf.contrib.losses.softmax_cross_entropy(logits, onehot_labels, weight=weight) |