从tensorflow 1.12开始，我收到一条类似这样的消息：
2019-03-10 13:58:26.356736: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1674] Adding visible gpu devices: 0, 1
2019-03-10 13:58:26.356811: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1082] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-03-10 13:58:26.356820: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1088] 0 1
2019-03-10 13:58:26.356826: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1101] 0: N N
2019-03-10 13:58:26.356830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1101] 1: N N
2019-03-10 13:58:26.357241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1222] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10247 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:08:00.0, compute capability: 7.5)
2019-03-10 13:58:26.357445: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1222] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10239 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:42:00.0, compute capability: 6.1)
我读到某处（a不记得在哪里），构建自己的张量流将阻止收到此消息。在1.13版中，我得到了大约20条消息。我编译并安装了自己的张量流，但这没有帮助。
有人知道我如何摆脱这些烦人的消息吗？使用ubuntu 18.04，anaconda和python 3.6，keras 2.2.4，Cuda 10，cudnn 7。