我通过一些体育运动不支持的游戏进行了强化学习。 因此，我必须捕获屏幕并进行一些预处理， 使代理通过键盘事件起作用。
但是弹出AVX2消息时出现问题。
2019-07-23 18:38:31.761282: I
tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports
instructions that this TensorFlow binary was not compiled to use: AVX2
2019-07-23 18:38:31.979558: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0
with properties:
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.65
pciBusID: 0000:01:00.0
totalMemory: 11.00GiB freeMemory: 9.03GiB
2019-07-23 18:38:31.984593: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu
devices: 0
2019-07-23 18:38:32.494367: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect
StreamExecutor with strength 1 edge matrix:
2019-07-23 18:38:32.497269: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-07-23 18:38:32.498770: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-07-23 18:38:32.501017: I
tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow
device (/job:localhost/replica:0/task:0/device:GPU:0 with 8696 MB memory)
-> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id:
0000:01:00.0, compute capability: 7.5)
2019-07-23 18:38:32.944072: I
tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA
library cublas64_100.dll locally
我会定期收到此消息。
当我收到此味精时，该过程将停留几秒钟。
这样我在学习时会想念游戏框架。
如何解决这个问题？ （我不想在学习时看到此消息）
我的环境：
python 3.6.8
CUDA 10.0
keras 2.2.4
tensorflow-gpu 1.13.1