import TensorFlow:[WinError 126]找不到指定的模块

Question

我想学习使用TensorFlow，但是，当然，我甚至不能安装它！在

以下是关于我案件的信息：

• Python 3.6 64位
• 英特尔（R）高清图形520
• 英特尔i7
• Windows 7系统
• 纽比1.14.1

我遵循以下步骤：

1. 命令：C:\> pip3 install --upgrade tensorflow-gpu
2. 在Python上：import tensorflow

但我得到了以下错误：

Traceback (most recent call last):
  File "C:\Users\VES\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\self_check.py", line 62, in preload_check
    ctypes.WinDLL(build_info.nvcuda_dll_name)
  File "C:\Users\VES\AppData\Local\Programs\Python\Python36\lib\ctypes\__init__.py", line 348, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<pyshell#0>", line 1, in <module>
    import tensorflow
  File "C:\Users\VES\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "C:\Users\VES\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\VES\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 30, in <module>
    self_check.preload_check()
  File "C:\Users\VES\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\self_check.py", line 70, in preload_check
    % build_info.nvcuda_dll_name)
ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Typically it is installed in 'C:\Windows\System32'. If it is not present, ensure that you have a CUDA-capable GPU with the correct driver installed.

Answer 1

要运行支持GPU的tensorflow，需要安装NVIDIA显卡和CUDA库（请参见requirements here），不幸的是，Intel（R）HD Graphics 520不行。在

您可以接受CPU版本（pip3 install upgrade tensorflow），这对于开始学习还是很好的。在

更新：另一个解决方案是使用在线服务Google Colab，它允许您从Google的云基础设施借用GPU用于学习。在