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| author |  Yukun Chen <cykustcc@users.noreply.github.com> | 2018-02-12 02:05:37 -0500 |
|---|---|---|
| committer |  Gunhan Gulsoy <gunan@google.com> | 2018-02-11 23:05:37 -0800 |
| commit | b9f548d041ba8d66102c6d195e645051f1bee52f (patch) | |
| tree | ecd9853729c6b21f824b5d7ae66556009cc8bd68 /tensorflow/examples/udacity | |
| parent | 8330cce0556893a7236d87a09e7c495c55197de0 (diff) | |
Fix warning about keep_dims. keep_dims -> keepdims for tf.reduce_sum(). (#16876)
* Fix warning about keep_dims. keep_dims -> keepdims for tf.reduce_sum().
* fix test failure.
Diffstat (limited to 'tensorflow/examples/udacity')
| -rw-r--r-- | tensorflow/examples/udacity/5_word2vec.ipynb | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/udacity/5_word2vec.ipynb b/tensorflow/examples/udacity/5_word2vec.ipynb index 18c456cad7..3b43d1fb55 100644 --- a/tensorflow/examples/udacity/5_word2vec.ipynb +++ b/tensorflow/examples/udacity/5_word2vec.ipynb @@ -455,7 +455,7 @@ " \n", " # Compute the similarity between minibatch examples and all embeddings.\n", " # We use the cosine distance:\n", - " norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n", + " norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keepdims=True))\n", " normalized_embeddings = embeddings / norm\n", " valid_embeddings = tf.nn.embedding_lookup(\n", " normalized_embeddings, valid_dataset)\n", |