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Ubuntu TensorFlow(GPU)libcudart.so.7.5错误--无法打开共享对象文件_Ubuntu_Tensorflow - Fatal编程技术网

Ubuntu TensorFlow(GPU)libcudart.so.7.5错误--无法打开共享对象文件

Ubuntu TensorFlow(GPU)libcudart.so.7.5错误--无法打开共享对象文件,ubuntu,tensorflow,Ubuntu,Tensorflow,在Ubuntu 14.04上安装带有GPU的TensorFlow。对于Ubuntu/UNIX环境来说是相当新的,所以很多东西我都不懂。在搜索此问题时,我遇到了安装了CUDA 7.5后无法导入CUDA 7.0的实例(因为TensorFlow不支持7.5)。我已经安装了CUDA 7.0,但它似乎在寻找7.5-这是为什么?我的.bashrc文件中有以下几行: export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-7.0/lib64" expo

在Ubuntu 14.04上安装带有GPU的TensorFlow。对于Ubuntu/UNIX环境来说是相当新的,所以很多东西我都不懂。在搜索此问题时,我遇到了安装了CUDA 7.5后无法导入CUDA 7.0的实例(因为TensorFlow不支持7.5)。我已经安装了CUDA 7.0,但它似乎在寻找7.5-这是为什么?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。。。有人有什么建议吗

>>> 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
>>将tensorflow作为tf导入
回溯(最近一次呼叫最后一次):
文件“”,第1行,在
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/___init__.py”,第23行,在
从tensorflow.python导入*
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/_init__.py”,第49行,在
从tensorflow导入contrib
文件“/home/ford/tensorflow/local/lib/python2.7/site-packages/tensorflow/contrib/__-init___.py”,第23行,在
从tensorflow.contrib导入图层
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/contrib/layers/__init__.py”,第68行,in
从tensorflow.contrib.layers.python.layers导入*
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/contrib/layers/python/layers/_init__.py”,第22行
从tensorflow.contrib.layers.python.layers.initializers导入*
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/contrib/layers/python/layers/initializers.py”,第24行,在
从tensorflow.python.ops导入随机操作
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/ops/random_ops.py”,第23行,在
从tensorflow.python.framework导入ops
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/framework/ops.py”,第39行,在
从tensorflow.python.framework导入版本
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/framework/versions.py”,第22行,在
从tensorflow.python导入pywrap\u tensorflow
文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/pywrap_tensorflow.py”,第28行,在
_pywrap\u tensorflow=swig\u import\u helper()
swig\u import\u helper中的文件“/home/ford/tensorflow/local/lib/python2.7/site packages/tensorflow/python/pywrap\u tensorflow.py”,第24行
_mod=imp.load_模块(“pywrap_tensorflow”,fp,路径名,描述)
ImportError:libcudart.so.7.5:无法打开共享对象文件:没有此类文件或目录

我也有同样的问题。您是否尝试过将CUDA 7.5与CUDA 7一起安装?这对我来说很有效,我将路径变量改为包含7.5而不是7.0。如果您使用的是最新的r0.7二进制文件,根据我的经验,它们现在默认构建为支持CUDA 7.5…而r0.6二进制文件与CUDA 7.0一起工作

您可以从源代码构建tensorflow来使用CUDA 7.0,请参见此处的文档


您需要从安装tensorflow来配置设置。通过pip或easy_安装将不起作用


在使用pip将tensorflow从0.6.0升级到0.7.1后,我也遇到了同样的问题。

我在安装CUDA 7.5时遇到了安装问题,由于某些原因,我无法找到要运行的配置文件,以指定要使用哪个版本的CUDA。我可能会尝试安装TensorFlow 0.7.0,因为我认为它默认为7.0。是的,我看到了,但无法找到配置文件来更改它使用的库。通过安装TensorFlow 0.7.0(默认为CUDA 7.0),我暂时“解决”了我的问题……在您进行git克隆后,配置脚本位于顶级TensorFlow源目录中
$ ./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