From 7c01f684b1d10091fb8df35ae9e97e627645baf8 Mon Sep 17 00:00:00 2001
From: 4d55397500 <4d55397500@users.noreply.github.com>
Date: Mon, 4 Mar 2019 00:46:31 -0800
Subject: [PATCH] clean up backticks in docs for tf.norm

---
 tensorflow/python/ops/linalg_ops.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tensorflow/python/ops/linalg_ops.py b/tensorflow/python/ops/linalg_ops.py
index 66960304c78..ce132872509 100644
--- a/tensorflow/python/ops/linalg_ops.py
+++ b/tensorflow/python/ops/linalg_ops.py
@@ -437,13 +437,13 @@ def norm_v2(tensor,
 
   Args:
     tensor: `Tensor` of types `float32`, `float64`, `complex64`, `complex128`
-    ord: Order of the norm. Supported values are 'fro', 'euclidean',
+    ord: Order of the norm. Supported values are `'fro'`, `'euclidean'`,
       `1`, `2`, `np.inf` and any positive real number yielding the corresponding
-      p-norm. Default is 'euclidean' which is equivalent to Frobenius norm if
+      p-norm. Default is `'euclidean'` which is equivalent to Frobenius norm if
       `tensor` is a matrix and equivalent to 2-norm for vectors.
       Some restrictions apply:
-        a) The Frobenius norm `fro` is not defined for vectors,
-        b) If axis is a 2-tuple (matrix norm), only 'euclidean', 'fro', `1`,
+        a) The Frobenius norm `'fro'` is not defined for vectors,
+        b) If axis is a 2-tuple (matrix norm), only `'euclidean'`, '`fro'`, `1`,
            `2`, `np.inf` are supported.
       See the description of `axis` on how to compute norms for a batch of
       vectors or matrices stored in a tensor.