python-3.x - ImportError : libcublas. so.9.0:无法打开共享对象文件

Question

目前我在 Gpu 支持系统中安装了 cuda 8.0 和 cuda 9.0。我在从 keras 模块导入时遇到了这个错误。它说无法加载 native tensorflow 运行时。我收到的错误日志是:

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.9.0: 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 "Try1.py", line 11, in <module>
from keras.models import Sequential
File "/usr/local/lib/python3.5/dist-packages/Keras-2.0.9-py3.5.egg/keras/__init__.py", line 3, in <module>
File "/usr/local/lib/python3.5/dist-packages/Keras-2.0.9-py3.5.egg/keras/utils/__init__.py", line 6, in <module>
File "/usr/local/lib/python3.5/dist-packages/Keras-2.0.9-py3.5.egg/keras/utils/conv_utils.py", line 3, in <module>
File "/usr/local/lib/python3.5/dist-packages/Keras-2.0.9-py3.5.egg/keras/backend/__init__.py", line 83, in <module>
File "/usr/local/lib/python3.5/dist-packages/Keras-2.0.9-py3.5.egg/keras/backend/tensorflow_backend.py", 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 73, 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.9.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

当我运行 nvcc --version 时，返回的 cuda 版本是，

Cuda compilation tools, release 8.0, V8.0.61

我阅读了一些类似的帖子，但无法解决我的问题。大多数情况下，我认为这是两个 cuda 版本之间的冲突。谁能告诉我如何解决这个问题？提前致谢。

Answer 1

发生这种情况是因为系统正在寻找合适的 cuda 版本来运行训练。我在 conda 中以一种简单的方式解决了这个问题。
前往 link并为您的 tensorflow 找到 cuda 版本。
找到后，执行此操作。
通过以下方式搜索特定的 cudatoolkit 版本conda search cudatoolkitconda install cudatoolkit=*give_your_version_number_here*接下来安装对应的cudnn搜索 conda search cudnn ，这将显示相​​应的cudnn为您的cudatoolkit你刚刚安装。
最后只是安装，conda install cudnn=*your_version_number*P.S -> 这就是 conda 的美妙之处。不要弄脏你的手，当你没有havta时;)