我已经安装了 Python 3.5 ， tensorflow-gpu 1.5 ， CUDA v.9 ， cuDNN v.7 >和 NVIDIA AVX 5200 。尽管我已经安装了tensorflow，但是在Python中无法使用bit并返回以下异常：
2019-03-31 22:27:45.285194: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX
2019-03-31 22:27:46.132472: I C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1105] Found device 0 with properties:
name: NVS 5200M major: 2 minor: 1 memoryClockRate(GHz): 1.344
pciBusID: 0000:01:00.0
totalMemory: 1.00GiB freeMemory: 823.00MiB
2019-03-31 22:27:46.132585: I C:\tf_jenkins\workspace\rel- win\M\windows-gpu\PY\35 \tensorflow\core\common_runtime\gpu\gpu_device.cc:1168] Ignoring visible gpu device (device: 0, name: NVS 5200M, pci bus id: 0000:01:00.0, compute capability: 2.1) with Cuda compute capability 2.1. The minimum required Cuda capability is 3.0.
当以以下方式检查时：
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
我得到：
name: "/device:CPU:0"
device_type: "CPU"
我该如何解决这个问题？