anaconda tensorflow ImportError:DLL加载失败

时间:2020-02-12 06:24:51

标签: python tensorflow anaconda

我第一次尝试使用tensorflow。

我安装了Anaconda,CUDA,cudnn,pytorch和tensorflow。

我也像下面一样设置cudnn路径。

C:\cudnn-10.2-windows10-x64-v7.6.5.32\cuda\bin
C:\cudnn-10.2-windows10-x64-v7.6.5.32\cuda\lib
C:\cudnn-10.2-windows10-x64-v7.6.5.32\cuda\include

然后尝试启动python项目导入tensorflow。 但这发生了错误。 我会在下面写错误消息。

Traceback (most recent call last):
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: cannot find module for path

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "./trainplate.py", line 4, in <module>
    from utils.logger import *
  File "C:\machine_learning\PyTorch-YOLOv3-master\utils\logger.py", line 1, in <module>
    import tensorflow as tf
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 101, in <module>
    from tensorflow_core import *
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\__init__.py", line 40, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__
    module = self._load()
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\Users\blue_\Anaconda3\envs\tensorflow\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\Users\username\Anaconda3\envs\tensorflow\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: cannot find module for path


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.

如何解决此错误?

请帮助我。

1 个答案:

答案 0 :(得分:0)

我解决了这个问题。

我将tensorflow版本降级为2.0。然后,tensorflow错误消失了。