diff options
author | Eugene Brevdo <ebrevdo@google.com> | 2016-12-08 15:17:34 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-12-08 15:25:27 -0800 |
commit | b79d37b19bc692635d52b5273a9b922a5c24c225 (patch) | |
tree | f7786eb23e664852152e601fed7e157931f10549 /tensorflow/tools/dist_test | |
parent | 01afde4906b7483aa291cd6a7510d502e8d3beae (diff) |
Final breaking change of SparseTensor.shape -> SparseTensor.dense_shape rename.
Removing shape property from SparseTensor.
Change: 141490813
Diffstat (limited to 'tensorflow/tools/dist_test')
-rw-r--r-- | tensorflow/tools/dist_test/python/census_widendeep.py | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/tensorflow/tools/dist_test/python/census_widendeep.py b/tensorflow/tools/dist_test/python/census_widendeep.py index 309366e467..62ff7f8f2f 100644 --- a/tensorflow/tools/dist_test/python/census_widendeep.py +++ b/tensorflow/tools/dist_test/python/census_widendeep.py @@ -217,11 +217,12 @@ 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, - 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, + dense_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. |