diff options
| author |  Martin Wicke <wicke@google.com> | 2017-03-23 12:31:16 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-03-23 13:44:29 -0700 |
| commit | bc456e361d49d1d89a74b80060c70efb51fd7d87 (patch) | |
| tree | 825e04287f1e2d2ac098ca3f0fdd4e361aefd68c /tensorflow/examples/tutorials | |
| parent | 8ca071456537e6c96ae8896c2a20b1f08b0e59d3 (diff) | |
Merge changes from github.
Change: 151046259
Diffstat (limited to 'tensorflow/examples/tutorials')
| -rw-r--r-- | tensorflow/examples/tutorials/deepdream/deepdream.ipynb | 2 | ||||
| -rw-r--r-- | tensorflow/examples/tutorials/word2vec/word2vec_basic.py | 6 |
2 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/examples/tutorials/deepdream/deepdream.ipynb b/tensorflow/examples/tutorials/deepdream/deepdream.ipynb index cbcc54ce3c..016b21cd12 100644 --- a/tensorflow/examples/tutorials/deepdream/deepdream.ipynb +++ b/tensorflow/examples/tutorials/deepdream/deepdream.ipynb @@ -278,7 +278,7 @@ " tensor = n.attr['value'].tensor\n", " size = len(tensor.tensor_content)\n", " if size > max_const_size:\n", - " tensor.tensor_content = bytes(\"<stripped %d bytes>\"%size, 'utf-8')\n", + " tensor.tensor_content = bytes(\"<stripped %d bytes>\"%size)\n", " return strip_def\n", " \n", "def rename_nodes(graph_def, rename_func):\n", diff --git a/tensorflow/examples/tutorials/word2vec/word2vec_basic.py b/tensorflow/examples/tutorials/word2vec/word2vec_basic.py index 25800c109e..f54a7c37a1 100644 --- a/tensorflow/examples/tutorials/word2vec/word2vec_basic.py +++ b/tensorflow/examples/tutorials/word2vec/word2vec_basic.py @@ -62,7 +62,7 @@ print('Data size', len(words)) vocabulary_size = 50000 -def build_dataset(words): +def build_dataset(words, vocabulary_size): count = [['UNK', -1]] count.extend(collections.Counter(words).most_common(vocabulary_size - 1)) dictionary = dict() @@ -81,7 +81,7 @@ def build_dataset(words): reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys())) return data, count, dictionary, reverse_dictionary -data, count, dictionary, reverse_dictionary = build_dataset(words) +data, count, dictionary, reverse_dictionary = build_dataset(words, vocabulary_size) del words # Hint to reduce memory. print('Most common words (+UNK)', count[:5]) print('Sample data', data[:10], [reverse_dictionary[i] for i in data[:10]]) @@ -181,7 +181,7 @@ with graph.as_default(): valid_embeddings, normalized_embeddings, transpose_b=True) # Add variable initializer. - init = tf.initialize_all_variables() + init = tf.global_variables_initializer() # Step 5: Begin training. num_steps = 100001 |