检查keras/tensorflow是否正常调用GPU代码
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
    os.environ['CUDA_VISIBLE_DEVICES'] = "0"
    a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
    b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
    c = tf.matmul(a, b)
    # Creates a session with log_device_placement set to True.
    sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
    # Runs the op.
    print(sess.run(c))
    # print(device_lib.list_local_devices())

 


    

        

            

                

                    

                        
                    

                    

                        

                            扫码关注我们
                        

                        

                            微信号：SRE实战
                        

                        

                            拒绝背锅 运筹帷幄
                        

                    

                

            

        

    


 SRE实战  互联网时代守护先锋，助力企业售后服务体系运筹帷幄！一键直达领取阿里云限量特价优惠。