在Ubuntu 14.04上安装TensorFlow与GPU。 相当新的Ubuntu / UNIX环境，所以很多东西我不明白。 在search这个问题时，我遇到了安装CUDA 7.5时无法导入CUDA 7.0的实例（因为TensorFlow不支持7.5）。 我安装了CUDA 7.0，但它似乎在寻找7.5 – 为什么这是？ 我在我的.bashrc文件中有以下几行：
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-7.0/lib64" export CUDA_HOME=/usr/local/cuda-7.0 但我仍然看到下面的问题…任何人有任何build议？
>>> 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
您需要从SOURCE安装tensorflow来配置设置。 通过pip或easy_install进行安装将不起作用。
使用pip将tensorflow从0.6.0升级到0.7.1后，我遇到同样的问题。
我遇到过同样的问题。 你有没有尝试安装CUDA 7.5旁边7？ 这对我工作，我改变我的路径变量包括7.5而不是7.0
如果您使用的是最新的r0.7二进制文件，按照我的经验，它们现在被构建为默认支持CUDA 7.5 …而r0.6二进制文件可与CUDA 7.0
您可以从源代码构建tensorflow以使用CUDA 7.0，请参阅此处的文档配置Cens库的TensorFlow规范视图
$ ./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