我正在为深度学习设置本地开发环境。我正在Fast.ai论坛上关注此主题的第一篇文章中的说明：
http://forums.fast.ai/t/py3-and-tensorflow-setup/1460
正在运行pip install git+git://github.com/fchollet/keras.git似乎已经成功安装了Keras，但有一些警告。
Successfully built Keras
distributed 1.221.8 require msgpack, which is not installed.
tensorboard 1.8.0 has requirement bleach==1.50, but you'll have to bleach 2.1.3 which is incompatible
Tensorboard 1.8.0 has requirement html5lib--0.9999999, but youll have html5lib 1.0.1 which is incompatible.
…
Successfully installed Keras-2.1.6
当我尝试导入tensorflow时，我从iPython获得了以下堆栈跟踪：
In [1]: import tensorflow
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>()
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
~/anaconda3/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
~/anaconda3/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-1-d6579f534729> in <module>()
----> 1 import tensorflow
~/anaconda3/lib/python3.6/site-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25 # pylint: disable=wildcard-import
26 from tensorflow.tools.api.generator.api import * # pylint: disable=redefined-builtin
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/__init__.py in <module>()
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 # Protocol buffers
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/home/usrname/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/usrname/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/usrname/anaconda3/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/usrname/anaconda3/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/usrname/anaconda3/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
我的系统正在运行带有GTX 1060 GPU的Ubuntu 16.04。
更新：我对~/.bashrc文件进行了更改。这样我的LD_LIBRARY_PATH指向lib64的位置，它位于我的系统所在的位置：
export LD_LIBRARY_PATH=/usr/local/cuda/lib64
保存文件，然后重新启动系统，再次尝试从iPython内部导入tensorflow。我再次收到包含以下内容的错误消息：
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
当我运行nvidia-smi时，结果是：
+ ---------------------------------------------- -------------------------------
+
| NVIDIA-SMI 390.48 Driver Version: 390.48 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 106... Off | 00000000:01:00.0 On | N/A |
| 8% 54C P0 26W / 120W | 318MiB / 6075MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1017 G /usr/lib/xorg/Xorg 159MiB |
| 0 1826 G compiz 156MiB |
+-----------------------------------------------------------------------------+
当我运行apt-update时，nvidia（这是最后一个要运行的段）返回以下内容：
Ign:23 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 InRelease
Hit:24 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 Release
Get:25 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 Release.gpg [801 B]
Ign:25 http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 Release.gpg
Fetched 393 kB in 2min 0s (3,266 B/s)
Reading package lists... Done
W: GPG error: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 Release: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY F60F4B3D7FA2AF80
W: The repository 'http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 Release' is not signed.
N: Data from such a repository can't be authenticated and is therefore potentially dangerous to use.
N: See apt-secure(8) manpage for repository creation and user configuration details.
似乎公钥是问题的一部分。我试过运行以下命令：
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
结果是：
Executing: /tmp/tmp.GlsZMuriaF/gpg.1.sh --fetch-keys
http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
gpg: keyserver timed out
gpg: WARNING: unable to fetch URI http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub: keyserver error
ub
答案 0 :(得分：4)
这将在thread中详细讨论。以下对我有用：
安装说明：
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64.deb
sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda
更新路径
export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}