python - 这个 tensorflow 安装有什么问题？我已经安装了GPU版本的tensorflow

Question

昨天我安装了一个版本的tensorflow。它已经完美安装，没有任何错误。我的笔记本电脑中还安装了 NVIDIA geforcr 1050 ti 显卡。

import tensorflow as tf

我遇到了以下错误。请有人帮忙。我已经通过命令 pip install tensorflow-gpu 通过 anaconda 提示符安装了它。

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
~\Anaconda3\lib\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\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\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\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\imp.py in load_dynamic(name, path, file)
     342             name=name, loader=loader, origin=path)
 --> 343         return _load(spec)
     344 

 ImportError: DLL load failed: The specified module could not be found.
 During handling of the above exception, another exception occurred:

 ImportError                               Traceback (most recent call last)
 <ipython-input-3-d6579f534729> in <module>()
 ----> 1 import tensorflow

 ~\Anaconda3\lib\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 
      26 try:

 ~\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>()
      47 import numpy as np
      48 
 ---> 49 from tensorflow.python import pywrap_tensorflow
      50 
      51 from tensorflow.python.tools import component_api_helper

~\Anaconda3\lib\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 ImportEr

ror(msg)
     75 
     76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):
  File "C:\Users\Aditya Shrivastava\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\Aditya Shrivastava\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\Aditya Shrivastava\Anaconda3\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\Aditya Shrivastava\Anaconda3\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\Aditya Shrivastava\Anaconda3\lib\imp.py", line 343, 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.

我基本上收到如下导入错误:ImportError: DLL load failed: 找不到指定的模块。

Answer 1

由于您正在 anconda 构建中工作，因此应该使用 conda 来安装软件包，而不是 pip。

因此，您应该使用 conda install tensorflow，而不是 pip3 install tensorflow。这应该正确安装tensorflow。

如果您仍然遇到问题，则可能与您的 CUDA 版本有关。据我了解，tf 目前支持 CUDA 9 和 CUDA 10，但要使用 CUDA 10，您需要从源代码构建 tf。因此，您可以降级到 CUDA 9，或者从源代码编译。从源代码编译的指令太复杂，无法深入讨论，但其他人已经写过elsewhere