TensorFlow (GPU) libcudart.so.7.5 error - unable to open shared objects file

Question

Installing TensorFlow with GPU on Ubuntu 14.04. Pretty new to Ubuntu / UNIX, so I don't get many things. When looking for this problem, I came across instances of the inability to import CUDA 7.0 when they have CUDA 7.5 installed (since TensorFlow does not support 7.5). I have CUDA 7.0 installed, but it looks like it is looking for 7.5 - why is this? I have the following lines in my .bashrc file:

export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-7.0/lib64" export CUDA_HOME=/usr/local/cuda-7.0 

But I still see the problem below ... Does anyone have any tips?

 >>> import tensorflow as tf Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/__init__.py", line 23, in <module> from tensorflow.python import * File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 49, in <module> from tensorflow import contrib File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/contrib/__init__.py", line 23, in <module> from tensorflow.contrib import layers File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/contrib/layers/__init__.py", line 68, in <module> from tensorflow.contrib.layers.python.layers import * File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/__init__.py", line 22, in <module> from tensorflow.contrib.layers.python.layers.initializers import * File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/initializers.py", line 24, in <module> from tensorflow.python.ops import random_ops File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/random_ops.py", line 23, in <module> from tensorflow.python.framework import ops File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 39, in <module> from tensorflow.python.framework import versions File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/versions.py", line 22, in <module> from tensorflow.python import pywrap_tensorflow File "/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 28, in <module> _pywrap_tensorflow = swig_import_helper() File "/home/ford/tensorflow/local/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.7.5: cannot open shared object file: No such file or directory 

Answer 1

To configure the settings, you need to install shadoworflow from SOURCE . Installation using pip or easy_install will not work.

I have the same problem after updating shadoworflow from 0.6.0 to 0.7.1 using pip.

Answer 2

I had the same problem. Have you tried installing CUDA 7.5 next to 7? This worked for me and I changed my PATH variables to 7.5 instead of 7.0

Answer 3

If you use the latest r0.7 binaries, in my experience they are now built to support CUDA 7.5 by default ... while the r0.6 binaries worked with CUDA 7.0

You can build a shadoworflow from the source code for working with CUDA 7.0, see the documentation here Configure the canonical representation of TensorFlow Cuda libraries

 $ ./configure Please specify the location of python. [Default is /usr/bin/python]: Do you wish to build TensorFlow with GPU support? [y/N] y GPU support will be enabled for TensorFlow Please specify the Cuda SDK version you want to use, eg 7.0. [Leave empty to use system default]: 7.0 Please specify the location where CUDA 7.0 toolkit is installed. Refer to README.md for more details. [default is: /usr/local/cuda]: /usr/local/cuda Please specify the Cudnn version you want to use. [Leave empty to use system default]: 4.0.4 Please specify the location where the cuDNN 4.0.4 library is installed. Refer to README.md for more details. [default is: /usr/local/cuda]: /usr/local/cudnn-r4-rc/ Please specify a list of comma-separated Cuda compute capabilities you want to build with. You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. Please note that each additional compute capability significantly increases your build time and binary size. [Default is: \"3.5,5.2\"]: 3.5 Setting up Cuda include Setting up Cuda lib64 Setting up Cuda bin Setting up Cuda nvvm Configuration finished