我无法在python 3.6.0上导入tensorflow-gpu == 1.13.1。
我已经做了什么:
Nvidia的驱动程序(我具有GEFORCE 840M,cuda支持该功能并具有计算能力5.0)。
我安装了Visual Studio 2017 Professional(未在工作负载中选择任何规范)。
我安装了CUDA 10.1(Visual Studio集成存在问题,因此我在安装过程中将其禁用了。)
我将Cudnn 7.5.0粘贴到了cuda的文件夹中。
重新启动。
Pip在python 3.6.0上安装了tensorflow-gpu == 1.13.1。
但是我根本无法导入tensorflow,它显示了以下错误。
>>> import tensorflow as tf
Traceback (most recent call last):
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\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 "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\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 "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\BenBouali\AppData\Local\Programs\Python\Python36\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
>>>
目标: 显然能够导入tensorflow并从tensorflow库中导入keras。
答案 0 :(得分:0)
在我的情况下,这是使用tensorflow-gpu==1.13.1
检测正确的CUDA Toolkit / cuDNN版本的问题。
在此上花费了2个小时之后,我安装了CUDA Toolkit 10.0,并在用户环境设置(Windows 10)中将TF_CUDA_VERSION
环境变量显式设置为10
。