[英]libcublas.so.8.0 error with tensorflow
I am currently trying to run a project from GitHub: https://github.com/nilboy/pixel-recursive-super-resolution 我目前正在尝试从GitHub运行一个项目: https : //github.com/nilboy/pixel-recursive-super-resolution
After installing ubuntu on VM, I installed python with tensorflow 2.7 using the pip command. 在VM上安装ubuntu后,我使用pip命令安装了具有tensorflow 2.7的python。
When I try to run the training session with python I get this error: 当我尝试使用python运行训练会话时,我收到此错误:
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory ImportError:libcublas.so.8.0:无法打开共享对象文件:没有这样的文件或目录
I could't find anything exactly the same, only this error: ImportError: libcudart.so.8.0: cannot open shared object file 我找不到任何完全相同的东西,只有这个错误: ImportError:libcudart.so.8.0:无法打开共享对象文件
I am using Yoga 13, so I don't have an NVIDIA GPU and I am trying to run this project on the CPU. 我使用的是Yoga 13,所以我没有NVIDIA GPU,我试图在CPU上运行这个项目。 Can you help identify the tensorflow problem?
你能帮助识别张量流问题吗?
Source: https://www.tensorflow.org/install/install_linux 资料来源: https : //www.tensorflow.org/install/install_linux
You need to install Cuda 8.0 and configure the environment as below: 您需要安装Cuda 8.0并配置如下环境:
export PATH="$PATH:/usr/local/cuda-8.0/bin"
export LD_LIBRARY_PATH="/usr/local/cuda-8.0/lib64"
may be preinstalled tensorflow-gpu, so 可能是预装的tensorflow-gpu,所以
pip3 install tensorflow --ignore-installed
pip3安装tensorflow --ignore-installed
as this helped me from stackoverflow 因为这帮助我从stackoverflow
Tensroflow/Keras requirements Tensroflow / Keras要求
In my opinion the tricky steps are installing Nvidia drivers and Cuda-8. 在我看来,棘手的步骤是安装Nvidia驱动程序和Cuda-8。 If you follow the instructions you're gonna have a bad time.
如果按照说明操作,那将是一段不愉快的时光。 Instead install it thru
apt
: 而是通过
apt
安装它:
sudo apt-get install nvidia-384 #can type nvidia then hit "tab" to view all available options
sudo apt-get install cuda-8-0
If that doesn't work...good luck. 如果这不起作用......祝你好运。 You can try this:
你可以试试这个:
Check that you do not have cuda-9: ls /usr/local
检查你没有cuda-9:
ls /usr/local
Reboot 重启
Run export LD_LIBRARY_PATH=/usr/local/cuda-8.0/extras/CUPTI/lib64:$LD_LIBRARY_PATH
but replace /usr/local/cuda-8.0/extras/CUPTI/lib64
with the relevant output from echo $LD_LIBRARY_PATH
运行
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/extras/CUPTI/lib64:$LD_LIBRARY_PATH
但将/usr/local/cuda-8.0/extras/CUPTI/lib64
替换为echo $LD_LIBRARY_PATH
的相关输出
Check that it worked nvcc --version
prints out CUDA version 检查它是否有效
nvcc --version
打印出CUDA版本
It may be an issue with the CUDA version installed. 这可能是安装CUDA版本的问题。 try
尝试
$ sudo apt-get install cuda-8-0 $ sudo apt-get install cuda-8-0
I got the same error while running Tensorflow with GPU support in Python and solved it like this: 我在Python中使用GPU支持运行Tensorflow时遇到了同样的错误并解决了这个问题:
$ export PATH="$PATH:/usr/local/cuda-8.0/bin"
$ export LD_LIBRARY_PATH="/usr/local/cuda-8.0/lib64"
For enabling all users you may have to enter these export statements in etc/environments in Ubuntu 为了启用所有用户,您可能必须在Ubuntu中的etc / environment中输入这些导出语句
On my computer I had : 在我的电脑上我有:
cudnn5.1,
cuda8.0
When importing tensorflow, I had the same error ImportError: 导入tensorflow时,我遇到了同样的错误:ImportError:
libcublas.so.8.0: cannot open shared object file: No such file or directory
libcublas.so.8.0:无法打开共享对象文件:没有这样的文件或目录
and even 乃至
libcublas.so.9.0: cannot open shared object file: No such file or directory
libcublas.so.9.0:无法打开共享对象文件:没有这样的文件或目录
To overcome this issue I installed tensorflow 1.4
instead of 1.6 and did what Umair Qadir suggested. 为了解决这个问题,我安装了
tensorflow 1.4
而不是1.6,并且做了Umair Qadir所建议的。
But then I had another issue : 但后来我又遇到了另一个问题:
libcudnn.so.6: cannot open shared object file: No such file or directory
libcudnn.so.6:无法打开共享对象文件:没有这样的文件或目录
This was because I had cudnn5.1 as required but actually it needs cudnn6 这是因为我根据需要有cudnn5.1但实际上它需要cudnn6
Here are the steps to uninstall cudnn5.1 and install cudnn6: 以下是卸载cudnn5.1并安装cudnn6的步骤:
1- Uninstall cudnn 5.1 rm -f /usr/include/cudnn.h rm -f /usr/lib/x86_64-linux-gnu/libcudnn rm -f /usr/local/cuda-/lib64/libcudnn 1-卸载cudnn 5.1 rm -f /usr/include/cudnn.h rm -f / usr / lib / x86_64-linux-gnu / libcudnn rm -f / usr / local / cuda- / lib64 / libcudnn
2- Install cudnn6 2-安装cudnn6
After having subscribed to nvdia, go to here https://developer.nvidia.com/rdp/cudnn-download and download cudnn6 for cuda8 and then go to the folder where you downloaded the cudnn and do : 订阅了nvdia后,请访问https://developer.nvidia.com/rdp/cudnn-download并下载cudnn6 for cuda8,然后转到下载cudnn的文件夹并执行:
$ tar xvzf cudnn-8.0-linux-x64-v5.1-ga.tgz
$ sudo cp -P cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp -P cuda/lib64/libcudnn /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h
/usr/local/cuda/lib64/libcudnn*
Now you should have tensorflow 现在你应该有张量流
Try it on typing in the console: 在控制台中输入时尝试:
$python
import tensorflow
If you want to work in anaconda and the error persists , try : 如果你想在anaconda工作并且错误仍然存在,请尝试:
$jupyter notebook --generate-config
then you can find the name of the directory where you have your config file (Ill call it 然后你可以找到你的配置文件的目录名称(我称之为
) and open /jupyter_notebook_config.py and add at the top : )并打开/jupyter_notebook_config.py并在顶部添加:
import os
c = get_config()
os.environ['LD_LIBRARY_PATH'] = '/usr/local/cuda-8.0/lib64:usr/local/cuda-8.0/lib64/libcudart.so.8.0'
c.Spawner.env.update('LD_LIBRARY_PATH')
Now it should work... 现在它应该工作......
Here are the websites that helped me: 以下是帮助我的网站:
https://askubuntu.com/questions/952075/how-to-upgrade-tensorflow-to-v1-3-cudnn-cuda-upgrade https://developer.nvidia.com/rdp/cudnn-download https://medium.com/@ikekramer/installing-cuda-8-0-and-cudnn-5-1-on-ubuntu-16-04-6b9f284f6e77 tensorflow gpu can not be called from jupyterhub/jupyter notebook, why? https://askubuntu.com/questions/952075/how-to-upgrade-tensorflow-to-v1-3-cudnn-cuda-upgrade https://developer.nvidia.com/rdp/cudnn-download https:// medium.com/@ikekramer/installing-cuda-8-0-and-cudnn-5-1-on-ubuntu-16-04-6b9f284f6e77 tensorflow GPU不能从jupyterhub / jupyter笔记本叫,为什么呢?
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