From c213d7e6bcf06d212ad5edfe8eeab7fd9d5718e6 Mon Sep 17 00:00:00 2001
From: Michael Vincerra <michael.vincerra@intel.com>
Date: Fri, 7 Dec 2018 16:58:34 -0800
Subject: [PATCH] Applies requested edits from @unrahul.

Signed-off-by: Michael Vincerra <michael.vincerra@intel.com>
---
 source/clear-linux/tutorials/dlrs.rst | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/source/clear-linux/tutorials/dlrs.rst b/source/clear-linux/tutorials/dlrs.rst
index fd7885cd..de2b16f4 100644
--- a/source/clear-linux/tutorials/dlrs.rst
+++ b/source/clear-linux/tutorials/dlrs.rst
@@ -77,16 +77,17 @@ TensorFlow.
 
    .. code-block:: bash
 
-      docker exec -t <docker_name> bash -c ‘git clone http://github.com/tensorflow/benchmarks -b cnn_tf_v1.11_compatible’
+      docker exec -t <docker_name> bash -c ‘git clone http://github.com/tensorflow/benchmarks -b cnn_tf_v1.12_compatible’
 
 #. Next, execute the benchmark script to run the benchmark.
 
    .. code-block:: bash
 
-      docker exec -i <docker_name> bash -c ‘python benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --device=cpu --model=resnet50 --data_format=NWHC ’.
+      docker exec -i <docker_name> bash -c ‘python benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --device=cpu --model=resnet50 --data_format=NHWC ’.
 
       .. note::
 
+         You may also use: `--data_format=NCHW`
          You can replace the model with one of your choice supported by the
          TensorFlow benchmarks.