spacing issue

Author: schaugf

gpu-tutorial.py

@@ -3,24 +3,34 @@
 print('running on default hardware...')
 
 # creates a graph.
+
 a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
 b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
 c = tf.matmul(a, b)
+
 # Creates a session with log_device_placement set to True.
+
 sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
+
 # Runs the op.
+
 print(sess.run(c))
 
 print('running on gpu hardware...')
 
 # Creates a graph.
+
 with tf.device('/gpu:0'):
   a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
   b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
   c = tf.matmul(a, b)
+
 # Creates a session with log_device_placement set to True.
+
 sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
-# Runs the op.
+
+# Runs the op
+
 print(sess.run(c))
 
 

submit-gpu.s

@@ -2,4 +2,5 @@
 #SBATCH --partition=gpu
 #SBATCH --gres=gpu:1
 #SBATCH --get-user-env
+
 srun python gpu-tutorial.py