CUDA_VISIBLE_DEVICES=0    python  your_file.py  # 指定GPU集群中第一块GPU使用,其他的屏蔽掉

CUDA_VISIBLE_DEVICES=1           Only device 1 will be seen CUDA_VISIBLE_DEVICES=0,1         Devices 0 and 1 will be visible CUDA_VISIBLE_DEVICES="0,1"       Same as above, quotation marks are optional 多GPU一起使用 CUDA_VISIBLE_DEVICES=0,2,3       Devices 0, 2, 3 will be visible; device 1 is masked CUDA_VISIBLE_DEVICES=""          No GPU will be visible

import os os.environ["CUDA_VISIBLE_DEVICES"] = "0"  　#指定第一块gpu

config = tf.ConfigProto()  config.gpu_options.per_process_gpu_memory_fraction = 0.9 # 占用GPU90%的显存  session = tf.Session(config=config)

config = tf.ConfigProto()  config.gpu_options.allow_growth = True  session = tf.Session(config=config)