我安装了tensorflow-gpu。我正在使用Tensorflow的virtualenv安装。
Ubuntu version 16.04
Cuda compilation tools, release 7.5, V7.5.17
Nvidia Driver:390 (latest)
我已经将cuda链接到我的.bashrc:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.1/extras/CUPTI/lib64
当我尝试:
import tensorflow as tf
我收到以下错误:
>>> import tensorflow
Traceback (most recent call last):
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/rosi/udacity/TensorFlow/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/home/rosi/udacity/TensorFlow/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 72, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/rosi/udacity/TensorFlow/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/rosi/udacity/TensorFlow/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/home/rosi/udacity/TensorFlow/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
如何解决此问题?
答案 0 :(得分:1)
在最后一次升级之后,我在使用deb(网络)的Ubuntu 16.04上遇到了与nvidia-390.30和CUDA 9.1相同的问题。 nvidia-smi命令失踪了。 / usr / local / cuda / extras / demo_suite / deviceQuery返回错误35。
问题浮出水面,因为当我运行以下命令时:
# prime-select query
它正在返回undefined
由于我没有板载intel GPU,我以root身份运行以下命令
# prime-select nvidia
然后在调整用户个人资料和其他链接时重新登录。 现在CUDA 9.1与Nvidia驱动程序390.30 :)一起使用,nvidia-smi命令也开始工作。
注意:使用Optimus设置(英特尔GPU)的用户可能需要尝试此操作:
# prime-select intel
我跑了
/usr/local/cuda/extras/demo_suite/deviceQuery
它完美地检测到了设备。