diff --git a/tensorflow/g3doc/api_docs/python/contrib.layers.md b/tensorflow/g3doc/api_docs/python/contrib.layers.md
index cb03110c9b0..8ba74c6faa1 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.layers.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.layers.md
@@ -339,7 +339,7 @@ Optimize weights given a loss.
 
 - - -
 
-### `tf.contrib.layers.optimize_loss(loss, global_step, learning_rate, optimizer, gradient_noise_scale=None, gradient_multipliers=None, clip_gradients=None, moving_average_decay=0.9, learning_rate_decay_fn=None, variables=None, name=None)` {#optimize_loss}
+### `tf.contrib.layers.optimize_loss(loss, global_step, learning_rate, optimizer, gradient_noise_scale=None, gradient_multipliers=None, clip_gradients=None, moving_average_decay=0.9, learning_rate_decay_fn=None, update_ops=None, variables=None, name=None)` {#optimize_loss}
 
 Given loss and parameters for optimizer, returns a training op.
 
@@ -369,6 +369,8 @@ Given loss and parameters for optimizer, returns a training op.
                           Can be used to implement any learning rate decay
                           functions.
                           For example: tf.train.exponential_decay.
+*  <b>`update_ops`</b>: list of update `Operation`s to execute at each step. If `None`,
+              uses elements of UPDATE_OPS collection.
 *  <b>`variables`</b>: list of variables to optimize or
              `None` to use all trainable variables.
 *  <b>`name`</b>: The name for this operation is used to scope operations and summaries.
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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.layers.optimize_loss.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.layers.optimize_loss.md
similarity index 90%
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index db0b01186a2..8e6072532be 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.layers.optimize_loss.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.layers.optimize_loss.md
@@ -1,4 +1,4 @@
-### `tf.contrib.layers.optimize_loss(loss, global_step, learning_rate, optimizer, gradient_noise_scale=None, gradient_multipliers=None, clip_gradients=None, moving_average_decay=0.9, learning_rate_decay_fn=None, variables=None, name=None)` {#optimize_loss}
+### `tf.contrib.layers.optimize_loss(loss, global_step, learning_rate, optimizer, gradient_noise_scale=None, gradient_multipliers=None, clip_gradients=None, moving_average_decay=0.9, learning_rate_decay_fn=None, update_ops=None, variables=None, name=None)` {#optimize_loss}
 
 Given loss and parameters for optimizer, returns a training op.
 
@@ -28,6 +28,8 @@ Given loss and parameters for optimizer, returns a training op.
                           Can be used to implement any learning rate decay
                           functions.
                           For example: tf.train.exponential_decay.
+*  <b>`update_ops`</b>: list of update `Operation`s to execute at each step. If `None`,
+              uses elements of UPDATE_OPS collection.
 *  <b>`variables`</b>: list of variables to optimize or
              `None` to use all trainable variables.
 *  <b>`name`</b>: The name for this operation is used to scope operations and summaries.
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index f4be03303fc..a88c2112efe 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.nn.separable_conv2d.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.nn.separable_conv2d.md
@@ -38,3 +38,9 @@ horizontal and vertical strides, `strides = [1, stride, stride, 1]`.
 
   A 4-D `Tensor` of shape `[batch, out_height, out_width, out_channels]`.
 
+##### Raises:
+
+
+*  <b>`ValueError`</b>: If channel_multiplier * in_channels > out_channels,
+    which means that the separable convolution is overparameterized.
+
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diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md
index 8254810db8a..e92d5b94108 100644
--- a/tensorflow/g3doc/api_docs/python/nn.md
+++ b/tensorflow/g3doc/api_docs/python/nn.md
@@ -418,6 +418,12 @@ horizontal and vertical strides, `strides = [1, stride, stride, 1]`.
 
   A 4-D `Tensor` of shape `[batch, out_height, out_width, out_channels]`.
 
+##### Raises:
+
+
+*  <b>`ValueError`</b>: If channel_multiplier * in_channels > out_channels,
+    which means that the separable convolution is overparameterized.
+
 
 - - -