我正在使用具有4个tesla k80 gpus的ubuntu服务器，但是在尝试运行可用的gpus时，是否出现上述错误？
2019-12-27 16:00:19.654722: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-12-27 16:00:19.669752: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2299930000 Hz
2019-12-27 16:00:19.672126: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a66ed7ac50 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2019-12-27 16:00:19.672169: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2019-12-27 16:00:19.673505: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2019-12-27 16:00:19.676378: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2019-12-27 16:00:19.676425: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:163] no NVIDIA GPU device is present: /dev/nvidia0 does not exist
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还有nvidia-smi给出以下输出。
Failed to initialize NVML: Function Not Found
我正在使用cuda-8.0版本。