“ tensorflow-cpu”在装有Windows 10的设备上正常运行。 我正在尝试安装tensorflow-gpu,安装后无法导入,显示以下错误。
tensorflow.python.pywrap_tensorflow_internal没有模块
我已经安装了以下内容
CUDA 10.1
Nvidia图形驱动程序419版
CUDnn for CUDA 10.1
VC ++ 2015 REDIST
谁能说我在这里想念的是完整的错误消息。
Traceback (most recent call last):
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "D:\Program Files\Python\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 "D:\Program Files\Python\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "D:\Program Files\Python\lib\imp.py", line 343, 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 "D:\Program Files\Python\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "D:\Program Files\Python\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 "D:\Program Files\Python\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "D:\Program Files\Python\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
答案 0 :(得分:0)
如果确定Windows计算机上已安装 Visual C ++ 2015 Redist ,则可能是 CUDA 版本与 Tensorflow 之间的版本冲突。强>版本。由于较新的版本存在一些冲突,并且在张量流方面更多,因此需要准确的CUDA版本和CUDnn库才能使其正常工作。
正确配置它的最佳方法是使用 Anaconda 安装和配置tensorflow-gpu,因为conda会自动为相应的tensorflow下载所有必需的CUDA和CUDnn版本
问题是新的Anaconda默认使用Python 3.7.x,而tensorflow或tensorflow-gpu不支持
因此安装Anaconda可以下载here
现在,通过在Anaconda Prompt中键入以下内容,使用配置了python 3.6.x的conda创建虚拟环境
conda create -n yourenvname python=3.6 anaconda
现在输入
即可切换到您的环境conda activate yourenvname
现在使用来检查python版本,它应该显示类似这样的内容
> python --version
Python 3.6.7 :: Anaconda custom (64-bit)
现在终于安装tensorflow-gpu
conda install tensorflow-gpu
现在打开python并尝试导入tensorflow
>>> import tensorflow as tf
>>> sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
恭喜!一切都准备好了。