此文为解决机器学习中使用tensorflow，在运行代码出现上述报错情况

1.先运行nvidia-smi      检查GPU运行情况，若内存够用进入2

2.代码应作已下修改

import tensorflow as tf
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '0' #use GPU with ID=0
config = tf.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.5 # maximun alloc gpu50% of MEM
config.gpu_options.allow_growth = True #allocate dynamically
sess = tf.Session(config = config)