我正在尝试运行 Tensorflow-gpu .
我安装了Cuda-9.0和cuDNN v7.0.3 . 我测试了两个（如他们的指南中所述）并且它们工作正常 .
然后我使用pip3（我使用python3）安装了Tensorflow-gpu，它在导入时给了我这个错误：
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.5/dist-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 72, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
我发现了一些类似的问题，但所有问题都适用于某些或其他以前版本的Cuda（主要是8.0），而且我的工作也是如此 . 我也尝试了其中一些，比如设置 LD_LIBRARY_PATH 但没有任何效果 . 我也尝试了错误本身的链接，但这也是cuda 8.0的解决方案
2 回答
目前，TF-GPU的二进制可安装版本需要CUDA 8.这可能会在将来发生变化，但对于这些二进制文件，您无法满足CUDA 9的要求 .
如果你真的想使用CUDA 9 / CUDNN 7，你需要从源代码构建TF . 否则安装CUDA 8并指向TF . CUDA 8可以与CUDA 9一起安装，您无需修改驱动程序; CUDA 9 GPU驱动程序将与CUDA 8安装一起使用 .
你可以在这里看到答案的更多细节：https://devtalk.nvidia.com/default/topic/1026198/cuda-9-0-importerror-libcublas-so-8-0/
我希望这会有所帮助：D
最新的tf 1.5版本现在支持cudnn7和cuda9，通过pip3你现在可以安装1.5版本，但是我仍然有使用docker容器的cuda和tensorflow的问题