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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2016-12-08 21:42:24 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-12-08 22:02:24 -0800 |
commit | 9e14d13c2388a49e8cfa6ef50a47f548ee04fed0 (patch) | |
tree | 17d6a3724fe1f772818f4074464931956f6525d1 /tensorflow/tools/dist_test | |
parent | f37c468252b6bbda05dc8f3ba73d6e64b9a60696 (diff) |
Automated rollback of change 141490813
Change: 141521124
Diffstat (limited to 'tensorflow/tools/dist_test')
-rw-r--r-- | tensorflow/tools/dist_test/python/census_widendeep.py | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/tensorflow/tools/dist_test/python/census_widendeep.py b/tensorflow/tools/dist_test/python/census_widendeep.py index 62ff7f8f2f..309366e467 100644 --- a/tensorflow/tools/dist_test/python/census_widendeep.py +++ b/tensorflow/tools/dist_test/python/census_widendeep.py @@ -217,12 +217,11 @@ class CensusDataSource(object): for k in self.continuous_columns} # Creates a dictionary mapping from each categorical feature column name (k) # to the values of that column stored in a tf.SparseTensor. - categorical_cols = { - k: tf.SparseTensor( - indices=[[i, 0] for i in range(df[k].size)], - values=df[k].values, - dense_shape=[df[k].size, 1]) - for k in self.categorical_columns} + categorical_cols = {k: tf.SparseTensor( + indices=[[i, 0] for i in range(df[k].size)], + values=df[k].values, + shape=[df[k].size, 1]) + for k in self.categorical_columns} # Merges the two dictionaries into one. feature_cols = dict(continuous_cols.items() + categorical_cols.items()) # Converts the label column into a constant Tensor. |