ImportError:DLL加载失败,错误代码为3221225501 Tensorflow

时间:2019-10-10 23:43:32

标签: tensorflow

当导入tensorflow时,我得到上面提到的错误代码,在单独的环境中使用的版本是1.14,安装成功,通过anaconda中的pip安装,Windows 7,安装cudam工具包,但无法成功导入tensorflow 我收到此错误

---------------------------------------------------------------------------
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)
    241         else:
--> 242             return load_dynamic(name, filename, file)
    243     elif type_ == PKG_DIRECTORY:

~\Anaconda3\lib\imp.py in load_dynamic(name, path, file)
    341             name=name, loader=loader, origin=path)
--> 342         return _load(spec)
    343 

ImportError: DLL load failed with error code 3221225501

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
<ipython-input-1-64156d691fe5> in <module>
----> 1 import tensorflow as tf

~\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
     26 
     27 # pylint: disable=g-bad-import-order
---> 28 from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
     29 from tensorflow.python.tools import module_util as _module_util
     30 

~\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 # Protocol buffers

~\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 ImportError(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\Neuralserver\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\Neuralserver\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\Neuralserver\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\Neuralserver\Anaconda3\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\Neuralserver\Anaconda3\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed with error code 3221225501

2 个答案:

答案 0 :(得分:1)

在安装正确的CUDA Reference 1Reference 2

后尝试访问

答案 1 :(得分:0)

我在Windows 7上没有CUDA的conda环境中安装Tensorflow 2.x时遇到此错误。

最终,作为设置新的conda环境的一部分,我设法安装了Tensorflow。这是管理安装的我的环境文件:

# This file defines a conda environment.
# Run as: conda env create -f dev_environment.yml
# Remove old environment using: conda env remove --name dev
name: dev
channels:
  - conda-forge
dependencies:
  - python=3.7
  - notebook
  - numpy
  - pandas
  - tensorflow-mkl=2.1  # <-
  - tensorflow-estimator==2.1  # <- (Needed to avoid AttributeError)

我还安装了installation docs中提到的Microsoft Visual C ++ Redistributable,作为我搜索工作的一部分,但我不确定这是否至关重要。

更多说明:

  • 在撰写本文时,conda上已经可以使用tensorflow 2.2,但是给出了AttributeError when importing
  • 使用pip总是会出现OP(pip install tensorflowpip install tensorflow-cpu)描述的错误。我不确定pip和conda版本之间有什么区别。
  • Tensorflow hardware requirements提到TF从版本1.6开始使用AVX cpu指令。但是,我能够使用具有Intel i9 cpu的机器在不支持AVX指令的计算机上使用上述方法安装TF。