安装Tensorflow期间，cuda内核不匹配

Question

我按照official page的指示安装Tensorflow并在“验证安装”步骤中安装。

>>> sess = tf.Session() 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 
E tensorflow/stream_executor/cuda/cuda_driver.cc:509] failed call to cuInit: CUDA_ERROR_NO_DEVICE 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: Shu 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: Shu 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 375.26.0 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:363] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module 367.57 Mon Oct 3 20:37:01 PDT 2016 
GCC version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 
""" 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 367.57.0 
E tensorflow/stream_executor/cuda/cuda_diagnostics.cc:303] kernel version 367.57.0 does not match DSO version 375.26.0 -- cannot find working devices in this configuration 

这是我当我尝试启动一个会话。我不太明白发生了什么事。请提供帮助。谢谢！

Answer 1

我不相信这个错误与Tensorflow有关。你应该得到相同的错误运行nvidia-smi。

是否有可能在安装CUDA工具包后更新了NVIDIA GPU驱动程序？它看起来像工具包预计驱动程序版本367.57，而你正在运行一个更新的版本，375.26。

要快速检查，请尝试恢复到NVIDIA驱动程序版本367.57;您可以从系统设置>软件和更新>其他驱动程序。

一旦确认预期的驱动程序版本不匹配是问题，您可以使用驱动程序版本367.57，或者卸载CUDA Toolkit和cuDNN，将驱动程序更新到375.26，然后重新安装CUDA Toolkit和cuDNN。