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-rw-r--r--tensorflow/g3doc/api_docs/python/contrib.distributions.md6
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md3
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md3
3 files changed, 4 insertions, 8 deletions
diff --git a/tensorflow/g3doc/api_docs/python/contrib.distributions.md b/tensorflow/g3doc/api_docs/python/contrib.distributions.md
index dde3f5a90f..64b183b452 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.distributions.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.distributions.md
@@ -9509,8 +9509,7 @@ x = [[x0, x1], [x2, x3]] # Shape is [2, 2, 3, 3].
dist.pdf(x) # Shape is [2, 2].
# (*) - To efficiently create a trainable covariance matrix, see the example
-# in tf.contrib.distributions.batch_matrix_diag_transform
-# (operator_pd_cholesky.py).
+# in tf.contrib.distributions.batch_matrix_diag_transform.
```
- - -
@@ -9995,8 +9994,7 @@ x = [[x0, x1], [x2, x3]] # Shape is [2, 2, 3, 3]; xi is positive definite.
dist.pdf(x) # Shape is [2, 2].
# (*) - To efficiently create a trainable covariance matrix, see the example
-# in tf.contrib.distributions.batch_matrix_diag_transform
-# (operator_pd_cholesky.py).
+# in tf.contrib.distributions.batch_matrix_diag_transform.
```
- - -
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md
index 7e16775c6d..de410d5eae 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md
@@ -55,8 +55,7 @@ x = [[x0, x1], [x2, x3]] # Shape is [2, 2, 3, 3].
dist.pdf(x) # Shape is [2, 2].
# (*) - To efficiently create a trainable covariance matrix, see the example
-# in tf.contrib.distributions.batch_matrix_diag_transform
-# (operator_pd_cholesky.py).
+# in tf.contrib.distributions.batch_matrix_diag_transform.
```
- - -
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md
index a6ef0e15ad..99e26f5066 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md
@@ -51,8 +51,7 @@ x = [[x0, x1], [x2, x3]] # Shape is [2, 2, 3, 3]; xi is positive definite.
dist.pdf(x) # Shape is [2, 2].
# (*) - To efficiently create a trainable covariance matrix, see the example
-# in tf.contrib.distributions.batch_matrix_diag_transform
-# (operator_pd_cholesky.py).
+# in tf.contrib.distributions.batch_matrix_diag_transform.
```
- - -