deepin15.10重装nvidia驱动及cuda

nvidia-smi也有显示，显卡驱动是在的，而且nvcc显示出来的cuda版本9.0也没错，不是9.1。不知道问题所在，索性重装全部。

sudo tee /proc/acpi/bbswitch <<<ON # ON nvidia-smi

显示如下：

```Tue May 28 22:21:07 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.67 Driver Version: 390.67 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 950M Off | 00000000:01:00.0 Off | N/A |
| N/A 50C P0 N/A / N/A | 0MiB / 2004MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
```

nvcc --version

显示如下：

nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2017 NVIDIA Corporation Built on Fri_Sep__1_21:08:03_CDT_2017 Cuda compilation tools, release 9.0, V9.0.176 lspci | grep -i nvidia

显示如下：

01:00.0 3D controller: NVIDIA Corporation GM107M [GeForce GTX 950M] (rev a2)

检查pytorch调用cuda是否正常：

python -c 'import torch; print(torch.cuda.is_available())'

显示如下：

False 卸载cuda sudo /usr/local/cuda-9.0/bin/uninstall_cuda_9.0.pl #这里之后只剩下cudnn的东西，也可以完全删了。 sudo rm -rf /usr/local/cuda-9.0/ 卸载nvidia驱动及大黄蜂bunmblebee sudo apt-get remove --purge nvidia-cuda-dev nvidia-cuda-toolkit nvidia-nsight nvidia-visual-profiler sudo apt autoremove --purge bumblebee-nvidia nvidia-driver nvidia-settings 安装显卡驱动和大黄蜂bumblebee sudo apt-get install nvidia-smi sudo apt-get install bumblebee-nvidia nvidia-driver nvidia-settings 安装显卡驱动测试程序 sudo apt-get install mesa-utils

显示N卡相关信息：

optirun glxinfo|grep NVIDIA

运行测试程序

optirun glxgears -info

成功调用显卡驱动，信息如下：

GL_RENDERER = GeForce GTX 950M/PCIe/SSE2 GL_VERSION = 4.6.0 NVIDIA 390.67 GL_VENDOR = NVIDIA Corporation 安装cuda

https://developer.nvidia.com/cuda-90-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=runfilelocal
下载runfile

sudo ./cuda_9.0.176_384.81_linux.run

安装过程只有这个选no

Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? (y)es/(n)o/(q)uit: n 下载安装cudnn

<https://developer.nvidia.com/rdp/cudnn-archive>

登录下载对应版本我是选择了

cudnn-9.0-linux-x64-v7.5.0.56

这个版本的

把对应的额外的cudnn库放入cuda对应的位置：

sudo cp lib64/* /usr/local/cuda/lib64/ sudo cp include/* /usr/local/cuda/include/

然后检查环境变量并开启默认N卡

# 检查LD_LIABRARY_PATH和PATH sudo vim ~/.bashrc # 用大黄蜂开启默认N卡 sudo tee /proc/acpi/bbswitch<<<ON

再次检查pytorch是否能调用cuda

python -c "import torch;print(torch.cuda.is_available())"

显示如下：

True

检查tensorflow是否正常调用gpu

python3 -c "import tensorflow as tf;print(tf.test.is_gpu_available());print(tf.test.gpu_device_name())"

显示如下：

2019-05-28 22:52:25.862539: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-05-28 22:52:26.319239: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2019-05-28 22:52:26.319674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: GeForce GTX 950M major: 5 minor: 0 memoryClockRate(GHz): 1.124 pciBusID: 0000:01:00.0 totalMemory: 1.96GiB freeMemory: 1.92GiB 2019-05-28 22:52:26.319696: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0

都正常了，没有比我这更复杂了吧，卸了重装，有卸载过程和安装过程。