无法加载本机TensorFlow运行时.Python 3.5.2

Question

我正在尝试在我的PC上安装Tensorflow,我安装了Python 3.5.2 64位,cuda_8.0.61用于Windows 10和cudnn-8.0-windows10-x64-v6.0

我使用"native"pip来安装Tensorflow的GPU版本,然后我打开IDLE并使用"import tensorflow as tf"进行测试,我得到了错误

我怎样才能解决这个问题 ？提前谢谢你<3

Traceback (most recent call last):
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper
    return importlib.import_module(mname)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 986, in _gcd_import
  File "<frozen importlib._bootstrap>", line 969, in _find_and_load
  File "<frozen importlib._bootstrap>", line 958, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 666, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 577, in module_from_spec
  File "<frozen importlib._bootstrap_external>", line 906, in create_module
  File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
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 "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper
    return importlib.import_module('_pywrap_tensorflow_internal')
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
ImportError: No module named '_pywrap_tensorflow_internal'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<pyshell#0>", line 1, in <module>
    import tensorflow as tf
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\__init__.py", line 51, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 52, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 18, in swig_import_helper
    return importlib.import_module(mname)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 986, in _gcd_import
  File "<frozen importlib._bootstrap>", line 969, in _find_and_load
  File "<frozen importlib._bootstrap>", line 958, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 666, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 577, in module_from_spec
  File "<frozen importlib._bootstrap_external>", line 906, in create_module
  File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
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 "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 21, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 20, in swig_import_helper
    return importlib.import_module('_pywrap_tensorflow_internal')
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python35\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
ImportError: No module named '_pywrap_tensorflow_internal'


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

Answer 1

我按照这些步骤设法在Windows上运行Tensorflow.希望能帮助到你!它可能会根据您安装Python的文件夹而改变.

1. 下载并安装Python 3.5.x.
2. 下载并安装Nvidia CUDA Toolkit
3. 下载CuDNN 5.1

4. 2.完成后,将CuDNN文件复制到Nvidia CUDA工具包文件夹(通常位于C:\ Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0)

   • 将cudnn\bin\cudnn64_5.dll复制到C:\ Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin \
   • 将cudnn\include\cudnn.h复制到C:\ Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include \
   • 将cudnn\lib\x64\cudnn.lib复制到C:\ Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64 \

5. 通过pip命令提示符'pip install --upgrade tensorflow-gpu'安装Tensorflow

   5.1 TensorFlow依赖项

   • 确保已安装Visual C++ Redistributate 2015 x64.如果没有,请下载它
   • 将_curses_curses.cp35-win_amd64.pyd和_curses_panel.cp35-win_amd64.pyd移动到C:\ Users\Username\AppData\Local\Programs\Python\Python35\Lib\site-packages(或者您可能需要将它们下载为下一个包.只需Ctrl + f代表'curses')
   • 通过pip下载并安装这些软件包(移动到下载目录,打开命令提示符并生成'pip install package_name')
     • numpy + mkl(http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
       • 下载numpy-1.12.1 + mkl-cp35-cp35m-win_amd64.whl
       • pip install numpy-1.12.1 + mkl-cp35-cp35m-win_amd64.whl
     • scipy(http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)
       • 下载scipy-0.19.0-cp35-cp35m-win_amd64.whl
       • pip install scipy-0.19.0-cp35-cp35m-win_amd64.whl
   • 打开命令提示符并使'pip install matplotlib'

Answer 2

为什么不试试 Anaconda？

conda create -n gpu_env tensorflow-gpu
conda activate gpu_env

就这么简单。当您敬畏地观看时，所有需要的包和运行时（包括 Visual Studio）都将汇集在一起​​:)。试一试！

警告：您需要从 tensorflow 内部运行 Keras才能检测和使用您的 GPU。否则，如果您只使用 keras 和 tensorflow 作为后端，Keras 将使用普通的 tensorflow 而不是 tensorflow-gpu。两者并排安装。

这意味着你应该这样编码：

import tensorflow as tf
from tensorflow.keras.models       import Sequential, load_model
from tensorflow.keras.layers       import Dense,Dropout
from tensorflow.keras.callbacks    import ModelCheckpoint, EarlyStopping,CSVLogger
from tensorflow.keras.utils        import plot_model
.............
.............

希望这有帮助。