deepin15.10重灌nvidia驅動及cuda
阿新 • • 發佈：2019-05-29
問題描述：
nvidia-smi也有顯示，顯示卡驅動是在的，而且nvcc顯示出來的cuda版本9.0也沒錯，不是9.1。不知道問題所在，索性重灌全部。
sudo tee /proc/acpi/bbswitch <<<ON
# ON
nvidia-smi顯示如下：
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顯示如下：
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, V9.0.176lspci | grep -i nvidia顯示如下：
01:00.0 3D controller: NVIDIA Corporation GM107M [GeForce GTX 950M] (rev a2)檢查pytorch呼叫cuda是否正常：
python -c 'import torch; print(torch.cuda.is_available())'
顯示如下：
False解除安裝cuda
sudo /usr/local/cuda-9.0/bin/uninstall_cuda_9.0.pl
#這裡之後只剩下cudnn的東西，也可以完全刪了。
sudo rm -rf /usr/local/cuda-9.0/解除安裝nvidia驅動及大黃蜂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
安裝顯示卡驅動和大黃蜂bumblebee
sudo apt-get install nvidia-smi
sudo apt-get install bumblebee-nvidia nvidia-driver nvidia-settings安裝顯示卡驅動測試程式
sudo apt-get install mesa-utils顯示N卡相關資訊：
optirun glxinfo|grep NVIDIA執行測試程式
optirun glxgears -info成功呼叫顯示卡驅動，資訊如下：
GL_RENDERER = GeForce GTX 950M/PCIe/SSE2
GL_VERSION = 4.6.0 NVIDIA 390.67
GL_VENDOR = NVIDIA Corporation安裝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
下載runfile
sudo ./cuda_9.0.176_384.81_linux.run安裝過程只有這個選no
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81?
(y)es/(n)o/(q)uit: n下載安裝cudnn
<https://developer.nvidia.com/rdp/cudnn-archive>
登入下載對應版本我是選擇了
cudnn-9.0-linux-x64-v7.5.0.56
這個版本的
把對應的額外的cudnn庫放入cuda對應的位置：
sudo cp lib64/* /usr/local/cuda/lib64/
sudo cp include/* /usr/local/cuda/include/然後檢查環境變數並開啟預設N卡
# 檢查LD_LIABRARY_PATH和PATH
sudo vim ~/.bashrc
# 用大黃蜂開啟預設N卡
sudo tee /proc/acpi/bbswitch<<<ON再次檢查pytorch是否能呼叫cuda
python -c "import torch;print(torch.cuda.is_available())"顯示如下：
True檢查tensorflow是否正常呼叫gpu
python3 -c "import tensorflow as tf;print(tf.test.is_gpu_available());print(tf.test.gpu_device_name())"顯示如下：
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，沒有比我這更復雜了吧，卸了重灌，有解除安裝過程和安裝過程