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使用CUDA的Tensorflow:ImportError

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我已经像NVIDIA(Ubuntu 16.04 Desktop,GTX 970)本教程中所描述的那样逐步安装了TensorFlow:

http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html

每个步骤都完成没有错误,但如果我尝试在Python中导入TensorFlow后,我总是得到这个错误消息:

>>> import tensorflow as tf
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 72, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 61, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#import_error

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

我已经将CUDA-Toolkit安装到/ opt / cuda / toolkit(也是cuDNN) . 我已经尝试过符号链接:

sudo ln -s /opt/cuda-toolkit /usr/local/cuda
sudo ln -s /opt/cuda-toolkit /usr/local/cuda-8.0

或这个:

sudo export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/cuda-toolkit/lib64:/opt/cuda-toolkit/extras/CUPTI/lib64
sudo export CUDA_HOME=/opt/cuda-toolkit

但错误仍然存在 . 任何人都可以给我一个暗示,为什么会出现这个错误?非常感谢 :)

1 回答

  • 4

    我在具有类似硬件(GTX 970M)的机器上遇到了类似的问题,我使用以下帖子中提供的步骤解决了这个问题:https://askubuntu.com/a/278840

    我的唯一区别是在nvidia.conf文件中我只添加了以下行:/usr/local/cuda-8.0/lib64

    然后运行:sudo ldconfig

    希望能帮助到你 :)

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