Update generated Python Op docs.

Change: 139960226

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 77333996e0..27e8f7ed82 100644
--- a/tensorflow/g3doc/api_docs/python/math_ops.md
+++ b/tensorflow/g3doc/api_docs/python/math_ops.md
@@ -1948,6 +1948,45 @@ typically 6-7 times slower than the fast path. If `fast` is `False` then
 
 - - -
 
+### `tf.qr(input, full_matrices=None, name=None)` {#qr}
+
+Computes the QR decompositions of one or more matrices.
+
+Computes the QR decomposition of each inner matrix in `tensor` such that
+`tensor[..., :, :] = q[..., :, :] * r[..., :,:])`
+
+```prettyprint
+# a is a tensor.
+# q is a tensor of orthonormal matrices.
+# r is a tensor of upper triangular matrices.
+q, r = qr(a)
+q_full, r_full = qr(a, full_matrices=True)
+```
+
+##### Args:
+
+
+*  <b>`input`</b>: A `Tensor`. Must be one of the following types: `float64`, `float32`, `complex64`, `complex128`.
+    A tensor of shape `[..., M, N]` whose inner-most 2 dimensions
+    form matrices of size `[M, N]`. Let `P` be the minimum of `M` and `N`.
+*  <b>`full_matrices`</b>: An optional `bool`. Defaults to `False`.
+    If true, compute full-sized `q` and `r`. If false
+    (the default), compute only the leading `P` columns of `q`.
+*  <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+  A tuple of `Tensor` objects (q, r).
+
+*  <b>`q`</b>: A `Tensor`. Has the same type as `input`. Orthonormal basis for range of `a`. If `full_matrices` is `False` then
+    shape is `[..., M, P]`; if `full_matrices` is `True` then shape is
+    `[..., M, M]`.
+*  <b>`r`</b>: A `Tensor`. Has the same type as `input`. Triangular factor. If `full_matrices` is `False` then shape is
+    `[..., P, N]`. If `full_matrices` is `True` then shape is `[..., M, N]`.
+
+
+- - -
+
 ### `tf.self_adjoint_eig(tensor, name=None)` {#self_adjoint_eig}
 
 Computes the eigen decomposition of a batch of self-adjoint matrices.