Update generated Python Op docs.

Change: 139852629

3 files changed, 29 insertions, 5 deletions

diff --git a/tensorflow/g3doc/api_docs/python/contrib.layers.md b/tensorflow/g3doc/api_docs/python/contrib.layers.md
index 6fc2f28632..58fadf863a 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.layers.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.layers.md
@@ -1263,13 +1263,25 @@ Creates an `_EmbeddingColumn` for feeding sparse data into a DNN.
 
 - - -
 
-### `tf.contrib.layers.hashed_embedding_column(column_name, size, dimension, combiner=None, initializer=None)` {#hashed_embedding_column}
+### `tf.contrib.layers.scattered_embedding_column(column_name, size, dimension, combiner=None, initializer=None)` {#scattered_embedding_column}
 
 Creates an embedding column of a sparse feature using parameter hashing.
 
 The i-th embedding component of a value v is found by retrieving an
 embedding weight whose index is a fingerprint of the pair (v,i).
 
+An embedding column with sparse_column_with_hash_bucket such as
+  embedding_column(
+      sparse_column_with_hash_bucket(column_name, bucket_size),
+      dimension)
+
+could be replaced by
+  scattered_embedding_column(
+      column_name, size=bucket_size * dimension, dimension=dimension)
+
+for the same number of embedding parameters and hopefully reduced impact of
+collisions with a cost of slowing down training.
+
 ##### Args:
 
 
@@ -1289,7 +1301,7 @@ embedding weight whose index is a fingerprint of the pair (v,i).
 
 ##### Returns:
 
-  A _HashedEmbeddingColumn.
+  A _ScatteredEmbeddingColumn.
 
 ##### Raises:
 
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.layers.hashed_embedding_column.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.layers.scattered_embedding_column.md
index ac6364f908..979d06754d 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.layers.hashed_embedding_column.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.layers.scattered_embedding_column.md
@@ -1,10 +1,22 @@
-### `tf.contrib.layers.hashed_embedding_column(column_name, size, dimension, combiner=None, initializer=None)` {#hashed_embedding_column}
+### `tf.contrib.layers.scattered_embedding_column(column_name, size, dimension, combiner=None, initializer=None)` {#scattered_embedding_column}
 
 Creates an embedding column of a sparse feature using parameter hashing.
 
 The i-th embedding component of a value v is found by retrieving an
 embedding weight whose index is a fingerprint of the pair (v,i).
 
+An embedding column with sparse_column_with_hash_bucket such as
+  embedding_column(
+      sparse_column_with_hash_bucket(column_name, bucket_size),
+      dimension)
+
+could be replaced by
+  scattered_embedding_column(
+      column_name, size=bucket_size * dimension, dimension=dimension)
+
+for the same number of embedding parameters and hopefully reduced impact of
+collisions with a cost of slowing down training.
+
 ##### Args:
 
 
@@ -24,7 +36,7 @@ embedding weight whose index is a fingerprint of the pair (v,i).
 
 ##### Returns:
 
-  A _HashedEmbeddingColumn.
+  A _ScatteredEmbeddingColumn.
 
 ##### Raises:
 
diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 7466091756..419aac5144 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -926,7 +926,6 @@
   * [`embedding_column`](../../api_docs/python/contrib.layers.md#embedding_column)
   * [`flatten`](../../api_docs/python/contrib.layers.md#flatten)
   * [`fully_connected`](../../api_docs/python/contrib.layers.md#fully_connected)
-  * [`hashed_embedding_column`](../../api_docs/python/contrib.layers.md#hashed_embedding_column)
   * [`input_from_feature_columns`](../../api_docs/python/contrib.layers.md#input_from_feature_columns)
   * [`joint_weighted_sum_from_feature_columns`](../../api_docs/python/contrib.layers.md#joint_weighted_sum_from_feature_columns)
   * [`l1_regularizer`](../../api_docs/python/contrib.layers.md#l1_regularizer)
@@ -942,6 +941,7 @@
   * [`real_valued_column`](../../api_docs/python/contrib.layers.md#real_valued_column)
   * [`repeat`](../../api_docs/python/contrib.layers.md#repeat)
   * [`safe_embedding_lookup_sparse`](../../api_docs/python/contrib.layers.md#safe_embedding_lookup_sparse)
+  * [`scattered_embedding_column`](../../api_docs/python/contrib.layers.md#scattered_embedding_column)
   * [`separable_convolution2d`](../../api_docs/python/contrib.layers.md#separable_convolution2d)
   * [`shared_embedding_columns`](../../api_docs/python/contrib.layers.md#shared_embedding_columns)
   * [`sparse_column_with_hash_bucket`](../../api_docs/python/contrib.layers.md#sparse_column_with_hash_bucket)