Update generated Python Op docs.

Change: 136087897

1 files changed, 39 insertions, 0 deletions

diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md
index ad1126474d..69d8bac2b6 100644
--- a/tensorflow/g3doc/api_docs/python/math_ops.md
+++ b/tensorflow/g3doc/api_docs/python/math_ops.md
@@ -1133,6 +1133,45 @@ tf.transpose(x, perm=[0, 2, 1]) ==> [[[1  4]
 
 - - -
 
+### `tf.eye(num_rows, num_columns=None, batch_shape=None, dtype=tf.float32, name=None)` {#eye}
+
+Construct an identity matrix, or a batch of matrices.
+
+```python
+# Construct one identity matrix.
+tf.eye(2)
+==> [[1., 0.],
+     [0., 1.]]
+
+# Construct a batch of 3 identity matricies, each 2 x 2.
+# batch_identity[i, :, :] is a 2 x 2 identity matrix, i = 0, 1, 2.
+batch_identity = tf.eye(2, batch_shape=[3])
+
+# Construct one 2 x 3 "identity" matrix
+tf.eye(2, num_columns=3)
+==> [[ 1.,  0.,  0.],
+     [ 0.,  1.,  0.]]
+```
+
+##### Args:
+
+
+*  <b>`num_rows`</b>: Non-negative `int32` scalar `Tensor` giving the number of rows
+    in each batch matrix.
+*  <b>`num_columns`</b>: Optional non-negative `int32` scalar `Tensor` giving the number
+    of columns in each batch matrix.  Defaults to `num_rows`.
+*  <b>`batch_shape`</b>: `int32` `Tensor`.  If provided, returned `Tensor` will have
+    leading batch dimensions of this shape.
+*  <b>`dtype`</b>: The type of an element in the resulting `Tensor`
+*  <b>`name`</b>: A name for this `Op`.  Defaults to "eye".
+
+##### Returns:
+
+  A `Tensor` of shape `batch_shape + [num_rows, num_columns]`
+
+
+- - -
+
 ### `tf.matrix_diag(diagonal, name=None)` {#matrix_diag}
 
 Returns a batched diagonal tensor with a given batched diagonal values.