在Ubuntu 14.04上使用GPU安装TensorFlow。对于Ubuntu / UNIX环境来说还是比较新的,所以很多东西我都没有。在搜索此问题时,我遇到了在安装了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 - 这是为什么?我在.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......有人有任何建议吗?
>>> 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
答案 0 :(得分:1)
您需要从SOURCE安装tensorflow来配置设置。通过pip或easy_install安装将无法正常工作。
使用pip将tensorflow从0.6.0升级到0.7.1后,我遇到了同样的问题。
答案 1 :(得分:0)
我有同样的问题。您是否尝试过安装CUDA 7.5和7?这对我有用,我将PATH变量改为7.5而不是7.0
答案 2 :(得分:0)
如果您正在使用最新的r0.7二进制文件,根据我的经验,它们现在构建为默认支持CUDA 7.5 ...而r0.6二进制文件与CUDA 7.0一起使用
您可以从源代码构建张量流以使用CUDA 7.0,请参阅此处的文档Configure TensorFlow's canonical view of 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, e.g. 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