ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory

    [xx_xx@xxxx ~]$ python multiply.py
Traceback (most recent call last):
  File "multiply.py", line 2, in <module>
    import tensorflow as tf
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/__init__.py", line 4, in <module>
    from tensorflow.python import *
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 22, in <module>
    from tensorflow.python.client.client_lib import *
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/python/client/client_lib.py", line 35, in <module>
    from tensorflow.python.client.session import InteractiveSession
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 11, in <module>
    from tensorflow.python import pywrap_tensorflow as tf_session
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "/home/luohao/.usr/bin/python2.7.10/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory

When I execute python command, a “ImportError” error occurs.Some solved it by adding “export LD_LIBRARY_PATH=/usr/local/cuda-5.5/lib:/usr/local/cuda-5.5/lib64” in the /etc/profile.I try it but do no effect.I find the “libcudart.so.7.0” in /usr/share/man/man7/libcudart.so.7 by executing the whereis command and have no idea what should I do next to solve it.

Answer

This error is being raised because the loader cannot find version 7.0 of the CUDA runtime on your system. TensorFlow requires CUDA 7.0.

From the path in your question (/usr/local/cuda-5.5/...) it looks like you have CUDA 5.5 installed. The solution is to upgrade your CUDA runtime to version 7.0, which is available from NVIDIA here.

Advertisement

Answer