在Tensorflow中迭代cpu和gpu设备

Question

I am aware that Tensorflow can explicitly place computation on any devices by "/cpu0" or "/gpu0" . However, this is hard-coded. Is there any way to iterate all visible devices with built-in API?

Answer 1

Here is what you would like to have:

import tensorflow as tf
from tensorflow.python.client import device_lib

def get_all_devices():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos]

all_devices = get_all_devices()
for device_name in all_devices:
    with tf.device(device_name):
        if "cpu" in device_name:
            # Do something
            pass
        if "gpu" in device_name:
            # Do something else
            pass

Code is inspired from the best answer here: How to get current available GPUs in tensorflow?