列出可用GPU
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices()) from keras import backend as K
K.tensorflow_backend._get_available_gpus()
切换
import os
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
# The GPU id to use, usually either "0" or "1"
os.environ["CUDA_VISIBLE_DEVICES"] = ""
os.environ["CUDA_VISIBLE_DEVICES"] = "-1" 为使用CPU