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Python 无法加载本机 TensorFlow 运行时。蟒蛇 3.5.2

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时间：2020-08-19 23:33:07 　来源:igfitidea点击:

Failed to load the native TensorFlow runtime. Python 3.5.2

pythonpython-3.xtensorflowpip

提问by lamhoangtung

I'm trying to install Tensorflow in my PC, i installed Python 3.5.2 64-bit, cuda_8.0.61 for windows 10 and cudnn-8.0-windows10-x64-v6.0

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

I used "native" pip to install GPU version of Tensorflow, then i open IDLE and testing with "import tensorflow as tf" and i got the error bellow

我使用“本机”pip 来安装 GPU 版本的 Tensorflow，然后我打开 IDLE 并使用“import tensorflow as tf”进行测试，我得到了下面的错误

How can i fix this ? Thanks you in advance <3

我怎样才能解决这个问题 ？提前致谢 <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.

回答by Bruno Barbosa

I managed to run Tensorflow on Windows following these steps. Hope it helps! It may change depending in which folder you installed Python.

按照这些步骤，我设法在 Windows 上运行 Tensorflow。希望能帮助到你！它可能会根据您安装 Python 的文件夹而变化。

  1. Download and install Python 3.5.x
  2. Download and install Nvidia CUDA Toolkit
  3. Download CuDNN 5.1

  4. Copy CuDNN files to Nvidia CUDA toolkit folder when 2. has completed (usually is located on C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0)

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

  5. Install Tensorflow via pip command prompt 'pip install --upgrade tensorflow-gpu'

    5.1 TensorFlow dependencies

    • make sure that Visual C++ Redistributate 2015 x64 is installed. If not, download it
    • move _curses_curses.cp35-win_amd64.pyd and _curses_panel.cp35-win_amd64.pyd to C:\Users\Username\AppData\Local\Programs\Python\Python35\Lib\site-packages (or you may need to download them as the next packages. just Ctrl+f for 'curses')
    • download and install these packages via pip (move to the directory where they were downloaded, open a command prompt and make 'pip install package_name')
    • open command prompt and make 'pip install matplotlib'
  1. 下载并安装 Python 3.5.x
  2. 下载并安装 Nvidia CUDA 工具包
  3. 下载 CuDNN 5.1

  4. 2. 完成后将CuDNN文件复制到Nvidia CUDA toolkit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

    • 确保安装了 Visual C++ Redistributate 2015 x64。如果没有，请下载
    • 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（或者您可能需要下载它们作为下一个包。只需 Ctrl+f 表示“诅咒”）
    • 通过 pip 下载并安装这些包（移动到下载它们的目录，打开命令提示符并输入“pip install package_name”）
    • 打开命令提示符并制作“pip install matplotlib”

回答by agcala

Why don't try Anaconda?

为什么不试试 Anaconda？

conda create -n gpu_env tensorflow-gpu
conda activate gpu_env

As easy as that. All the packages and runtime needed (Visual Studio included) will be brought together while you watch in awe :). Give it a try!

就这么简单。当您敬畏地观看时，所需的所有包和运行时（包括 Visual Studio）将汇集在一起​​:)。试一试！

Caveat:You need to run Keras from inside tensorflow in order for it to detect and use your GPU. Otherwise if you use just keras and tensorflow as a backend, Keras will use plain tensorflow and not tensorflow-gpu. Boths are installed side by side.

警告：您需要从 tensorflow 内部运行 Keras ，以便它检测和使用您的 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。

Meaning you should code it this way:

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
.............
.............

Hope this help.

希望这有帮助。

回答by konchy

Try:

尝试：

pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-0.12.0rc0-cp35-cp35m-win_amd64.whl

to install tensorflow instead of:

安装 tensorflow 而不是：

pip install --upgrade tensorflow-gpu

回答by ahbon

My computer is Windows with CPU and I have had same issues. I uninstall tensorflow 1.9 and install 1.5 instead. It works right now.

我的电脑是带 CPU 的 Windows，我也遇到了同样的问题。我卸载了 tensorflow 1.9 并安装了 1.5。它现在工作。

回答by Juan José Chambers

If the problem persists check the version numbering and make sure cuda and TF are compatible.

如果问题仍然存在，请检查版本编号并确保 cuda 和 TF 兼容。

Check the version numbering here

在此处检查版本编号

or for a simplerway, use Anaconda

或者更简单的方法，使用 Anaconda

conda create --name new_env_name tensorflow-gpu
activate new_env_name

I successfully installed TensorFlow GPU version 1.12 (latest until the date of writing) with Cuda 9.0, GeForce 1050 Ti, Windows 10 and Python 3.6.7

我在 Cuda 9.0、GeForce 1050 Ti、Windows 10 和 Python 3.6.7 上成功安装了 TensorFlow GPU 版本 1.12（直到撰写本文为止的最新版本）

Note: You have installed the CUDA Toolkit (version 9) for TensorFlow to recognize your GPU

注意：您已经为 TensorFlow 安装了 CUDA Toolkit（版本 9）来识别您的 GPU

回答by Ahmed Adel Radwan

The problem for me was with a package named protobuf, It was solved by using pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-0.12.0rc0-cp35-cp35m-win_amd64.whlwhich upgraded protobuf to 3.6.1 and solved the error.

我的问题是一个名为 protobuf 的包，它通过使用 pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-0.12.0rc0-cp35-cp35m-win_amd64.whlwhich 将 protobuf 升级到 3.6.1 并解决了错误来解决。

回答by Martin Ivanov

Everything could be installed from the console: conda create --name tf-gpu conda install -c aaronzs tensorflow-gpu conda install -c anaconda cudatoolkit conda install -c anaconda cudnn conda install keras-gpu

一切都可以从控制台安装： conda create --name tf-gpu conda install -c aaronzs tensorflow-gpu conda install -c anaconda cudatoolkit conda install -c anaconda cudnn conda install keras-gpu

回答by Jayson Leang

I have the same problem with you. The problem is that Anaconda automatically updates the python version when installing ipython and spyder, which becomes version 3.6. You can change the python version to version 3.5 by entering the tensorflow environment via Anaconda. enter image description here

我和你有同样的问题。问题是Anaconda在安装ipython和spyder时自动更新python版本，变成3.6版本。通过Anaconda进入tensorflow环境可以将python版本改为3.5版本。 在此处输入图片说明

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