December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How to do it...
TensorFlow represents devices as strings. Here, we will show you how one can manually assign a device for matrix multiplication in TensorFlow. To verify that TensorFlow is indeed using the device (CPU or GPU) specified, we create the session with the log_device_placement flag set to True, namely, config=tf.ConfigProto(log_device_placement=True):
- If you are not sure about the device and want TensorFlow to choose the existing and supported device, you can set the allow_soft_placement flag to True:
config=tf.ConfigProto(allow_soft_placement=True, log_device_placement=True)
- Manually select CPU for operation:
with tf.device('/cpu:0'): rand_t = tf.random_uniform([50,50], 0, 10, dtype=tf.float32, seed=0) a = tf.Variable(rand_t) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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