Tensorflow, restore variables in a specific device

Question

Maybe my question is a bit naive, but I really didn\'t find anything in the tensorflow documentation.

I have a trained tensorflow model where the variables of it was

Answer 1

Use clear_devices flag, ie

saver = tf.train.import_meta_graph("/tmp/graph.meta", clear_devices=True)

Answer 2

I'm using tensorflow 0.12 and clear_devices=True and tf.device('/cpu:0') was not working with me (saver.restore was still trying to assign variables to /gpu:0).

I really needed to force everything to /cpu:0 since I was loading several models which wouldn't fit in GPU memory anyways. Here are two alternatives to force everything to /cpu:0

1. Set os.environ['CUDA_VISIBLE_DEVICES']=''
2. Use the device_count of ConfigProto like tf.Session(config=tf.ConfigProto(device_count={"GPU": 0, "CPU": 1}))