Update generated Python Op docs.

Change: 128959704

tensorflow/g3doc/api_docs/python/control_flow_ops.md

@@ -361,6 +361,9 @@ to your graph.
 
 Returns the truth value of x AND y element-wise.
 
+*NOTE*: `LogicalAnd` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -396,6 +399,9 @@ Returns the truth value of NOT x element-wise.
 
 Returns the truth value of x OR y element-wise.
 
+*NOTE*: `LogicalOr` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -427,6 +433,9 @@ operators to your graph.
 
 Returns the truth value of (x == y) element-wise.
 
+*NOTE*: `Equal` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -445,6 +454,9 @@ Returns the truth value of (x == y) element-wise.
 
 Returns the truth value of (x != y) element-wise.
 
+*NOTE*: `NotEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -463,6 +475,9 @@ Returns the truth value of (x != y) element-wise.
 
 Returns the truth value of (x < y) element-wise.
 
+*NOTE*: `Less` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -481,6 +496,9 @@ Returns the truth value of (x < y) element-wise.
 
 Returns the truth value of (x <= y) element-wise.
 
+*NOTE*: `LessEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -499,6 +517,9 @@ Returns the truth value of (x <= y) element-wise.
 
 Returns the truth value of (x > y) element-wise.
 
+*NOTE*: `Greater` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -517,6 +538,9 @@ Returns the truth value of (x > y) element-wise.
 
 Returns the truth value of (x >= y) element-wise.
 
+*NOTE*: `GreaterEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.mod.md

@@ -2,6 +2,9 @@
 
 Returns element-wise remainder of division.
 
+*NOTE*: `Mod` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.mul.md

@@ -2,6 +2,9 @@
 
 Returns x * y element-wise.
 
+*NOTE*: `Mul` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.not_equal.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x != y) element-wise.
 
+*NOTE*: `NotEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.greater_equal.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x >= y) element-wise.
 
+*NOTE*: `GreaterEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.minimum.md

@@ -1,6 +1,9 @@
 ### `tf.minimum(x, y, name=None)` {#minimum}
 
-Returns the min of x and y (i.e. x < y ? x : y) element-wise, broadcasts.
+Returns the min of x and y (i.e. x < y ? x : y) element-wise.
+
+*NOTE*: `Minimum` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.greater.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x > y) element-wise.
 
+*NOTE*: `Greater` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.sub.md

@@ -2,6 +2,9 @@
 
 Returns x - y element-wise.
 
+*NOTE*: `Sub` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.add.md

@@ -2,7 +2,8 @@
 
 Returns x + y element-wise.
 
-*NOTE*: Add supports broadcasting. AddN does not.
+*NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.div.md

@@ -2,6 +2,9 @@
 
 Returns x / y element-wise.
 
+*NOTE*: `Div` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.logical_and.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of x AND y element-wise.
 
+*NOTE*: `LogicalAnd` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.maximum.md

@@ -1,6 +1,9 @@
 ### `tf.maximum(x, y, name=None)` {#maximum}
 
-Returns the max of x and y (i.e. x > y ? x : y) element-wise, broadcasts.
+Returns the max of x and y (i.e. x > y ? x : y) element-wise.
+
+*NOTE*: `Maximum` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.less.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x < y) element-wise.
 
+*NOTE*: `Less` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.logical_or.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of x OR y element-wise.
 
+*NOTE*: `LogicalOr` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.equal.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x == y) element-wise.
 
+*NOTE*: `Equal` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.less_equal.md

@@ -2,6 +2,9 @@
 
 Returns the truth value of (x <= y) element-wise.
 
+*NOTE*: `LessEqual` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.rnn_cell.RNNCell.md

@@ -1,5 +1,10 @@
 Abstract object representing an RNN cell.
 
+The definition of cell in this package differs from the definition used in the
+literature. In the literature, cell refers to an object with a single scalar
+output. The definition in this package refers to a horizontal array of such
+units.
+
 An RNN cell, in the most abstract setting, is anything that has
 a state and performs some operation that takes a matrix of inputs.
 This operation results in an output matrix with `self.output_size` columns.

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.squared_difference.md

@@ -2,6 +2,9 @@
 
 Returns (x - y)(x - y) element-wise.
 
+*NOTE*: `SquaredDifference` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/math_ops.md

@@ -21,7 +21,8 @@ operators to your graph.
 
 Returns x + y element-wise.
 
-*NOTE*: Add supports broadcasting. AddN does not.
+*NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 
@@ -41,6 +42,9 @@ Returns x + y element-wise.
 
 Returns x - y element-wise.
 
+*NOTE*: `Sub` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -59,6 +63,9 @@ Returns x - y element-wise.
 
 Returns x * y element-wise.
 
+*NOTE*: `Mul` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -77,6 +84,9 @@ Returns x * y element-wise.
 
 Returns x / y element-wise.
 
+*NOTE*: `Div` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -164,6 +174,9 @@ as well.
 
 Returns element-wise remainder of division.
 
+*NOTE*: `Mod` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 
@@ -504,7 +517,10 @@ Returns element-wise largest integer not greater than x.
 
 ### `tf.maximum(x, y, name=None)` {#maximum}
 
-Returns the max of x and y (i.e. x > y ? x : y) element-wise, broadcasts.
+Returns the max of x and y (i.e. x > y ? x : y) element-wise.
+
+*NOTE*: `Maximum` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 
@@ -522,7 +538,10 @@ Returns the max of x and y (i.e. x > y ? x : y) element-wise, broadcasts.
 
 ### `tf.minimum(x, y, name=None)` {#minimum}
 
-Returns the min of x and y (i.e. x < y ? x : y) element-wise, broadcasts.
+Returns the min of x and y (i.e. x < y ? x : y) element-wise.
+
+*NOTE*: `Minimum` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
 ##### Args:
 
@@ -749,6 +768,9 @@ Computes the complementary error function of `x` element-wise.
 
 Returns (x - y)(x - y) element-wise.
 
+*NOTE*: `SquaredDifference` supports broadcasting. More about broadcasting
+[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
+
 ##### Args:
 
 

tensorflow/g3doc/api_docs/python/rnn_cell.md

@@ -13,6 +13,11 @@ Module for constructing RNN Cells.
 
 Abstract object representing an RNN cell.
 
+The definition of cell in this package differs from the definition used in the
+literature. In the literature, cell refers to an object with a single scalar
+output. The definition in this package refers to a horizontal array of such
+units.
+
 An RNN cell, in the most abstract setting, is anything that has
 a state and performs some operation that takes a matrix of inputs.
 This operation results in an output matrix with `self.output_size` columns.

tensorflow/g3doc/api_docs/python/train.md

@@ -851,7 +851,7 @@ learning_rate = tf.train.exponential_decay(starter_learning_rate, global_step,
                                            100000, 0.96, staircase=True)
 # Passing global_step to minimize() will increment it at each step.
 learning_step = (
-    tf.GradientDescentOptimizer(learning_rate)
+    tf.train.GradientDescentOptimizer(learning_rate)
     .minimize(...my loss..., global_step=global_step)
 )
 ```