On Windows running import tensorflow generates No module named pywrap tensorflow error

Question

On Windows  TensorFlow reports either or both of the following errors after executing an import tensorflow statement    No module named   pywrap tensorflow  DLL load failed

User · Answer

The problem was the cuDNN Library for me - for whatever reason cudnn-8.0-windows10-x64-v6.0 was NOT working - I used cudnn-8.0-windows10-x64-v5.1 - ALL GOOD!

My setup working with Win10 64 and the Nvidia GTX780M:

Be sure you have the lib MSVCP140.DLL by checking your system/path - if not get it here
Run the windows installer for python 3.5.3-amd64 from here - DO NOT try newer versions as they probably won't work
Get the cuDNN v5.1 for CUDA 8.0 from here - put it under your users folder or in another known location (you will need this in your path)
Get CUDA 8.0 x86_64 from here
Set PATH vars as expected to point at the cuDNN libs and python (the python path should be added during the python install)
Make sure that ".DLL" is included in your PATHEXT variable
If you are using tensorflow 1.3 then you want to use cudnn64_6.dll github.com/tensorflow/tensorflow/issues/7705

If you run Windows 32 be sure to get the 32 bit versions of the files mentioned above.

User · Answer

For each Tensorflow s version  it requires different version of CuDnn  On www tensorflow org  they did not mentioned about that in installation guide  My case use tensorflow version 1 3 which uses cuDNN 6  https   github com tensorflow tensorflow releases  Please check your tensorfow version and cuDNN version if they are match together  And please set path environment for cuDNN  if it still does not work  please check the answer from  Chris Han

User · Answer

tensorflow 1 3 does not support cuda 9 0 yet  I degrade to cuda 8 0  then it works

User · Answer

The problem for me was the cuDNN library which didn t match the requirements of the graphics card  I downloaded the 6 0 version but for my GTX980ti but the recommended compute capability on the nvidia website was 5 1   http   developer nvidia com cuda-gpus   so I downloaded 5 1 and replaced the 6 0 version and as soon as I ve done that it started working

User · Answer

my answer is for windows 10 users only  as I have tried the following on windows 10  Extending some of the answers above I suggest this    If you are using anaconda then you can avoid everything and simply install anaconda-navigator using the command  conda install -c anaconda anaconda-navigator   Then you can launch the navigator from command prompt  using the command  anaconda-navigator   On running this command you get a simple gui where you can create an virtual environment  create the environment with python 3 5 2 and install module tensorflow-gpu or tensorflow by searching the module in the search box using gui  it will also take care of installing correct cuda files for you  Using anaconda navigator is the simplest solution   If you are not using anaconda then take care about the following  tensorflow-gpu 1 3 requires python 3 5 2  cuda development kit 8 0 and cudaDNN 6 0  hence when installing make sure you run the command   pip install tensorflow-gpu  1 3   tensorflow-gpu 1 2 1 or less requires python 3 5 2  cuda development kit 8 0 and cudaDNN 5 1 hence when installing make sure you run the command   pip install tensorflow-gpu  1 2 1   Below are the steps you need to follow for both of the above processes Setting up you path variables You must have the following system variables  CUDA HOME    C  Program Files NVIDIA GPU Computing Toolkit CUDA v8 0  CUDA PATH    C  Program Files NVIDIA GPU Computing Toolkit CUDA v8 0  CUDA PATH V8 0    C  Program Files NVIDIA GPU Computing Toolkit CUDA v8 0    You PATHTEXT must include   DLL  along with other extensions     COM  EXE  BAT  CMD  VBS  VBE  JS  JSE  WSF  WSH  MSC  PY  DLL    Also Add the following to you path  C  Program Files NVIDIA GPU Computing Toolkit CUDA v8 0 lib x64 C  Program Files NVIDIA GPU Computing Toolkit CUDA v8 0 extras CUPTI libx64  C  Windows SysWOW64  C  Windows System32           If you are getting errors you can download the run the below code by mrry  this code will check your setup and tell you if something is wrong https   gist github com mrry ee5dbcfdd045fa48a27d56664411d41c  References    http   blog nitishmutha com tensorflow 2017 01 22 TensorFlow-with-gpu-for-windows html  The above reference is very useful  Please comment for improvements to this answer  Hope this helps  Thanks

User · Answer

Dll not found  Install Visual C   2015 redistributable to fix

User · Answer

I will try to give the solution that worked for me  It seems that different set of problems can lead to this situation   32 bit software works in 64 bit OS  I installed anaconda-3  32 bit  in my 64 bit OS  It was working perfectly fine  I decided to install tensorflow in my machine and it wouldn t install at first  I was using conda environment to install tensorflow and got this error   Solution is if you are running 64 bit OS  install 64 bit anaconda and if 32 bit OS then 32 bit anaconda  Then follow the standard procedure mentioned in tensorflow website for windows  anaconda installation   This made it possible to install tensorflow without any problem

User · Answer

Either error indicates that your system has not installed MSVCP140 DLL  which TensorFlow requires   To fix this error    Determine whether MSVCP140 DLL is in your  PATH  variable  If MSVCP140 DLL is not in your  PATH   install the   Visual C   2015 redistributable  x64 version   which contains this DLL

User · Answer

In case you are trying to install tensorflow GPU in Windows  you can find this easy interesting tutorial   Note  If you are using PyCharm for example  you have to change the interpreter to the created conda environment

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For Those Running on Older Hardware   You may get this same error due to having an older CPU using tensorflow-gpu 1 6   If your cpu was made before 2011  then your max tensorflow-gpu version is 1 5   Tensorflow 1 6 requires AVX instructions on your cpu   Verified here  Tensorflow Github docs  AVX enabled CPUs   Wiki AVX CPUs  What I did in my conda environment for tensorflow   pip install --ignore-installed --upgrade tensorflow-gpu  1 5

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Ran into the same problem  in 2019 09 09  while investigating  SO   Error while training using the estimator API in tensorflow   Setup    Win 10 x64 Python 3 7 3  x64  TensorFlow-GPU 1 13 1   TensorFlow   Install TensorFlow with pip    Error       cfati CFATI-5510-0 e  Work Dev StackOverflow q057588589  gt   e  Work Dev VEnvs py 064 03 07 03 test0 Scripts python exe  -c  import tensorflow as tf  Traceback  most recent call last     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow py   line 58  in  lt module gt      from tensorflow python pywrap tensorflow internal import     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow internal py   line 28  in  lt module gt       pywrap tensorflow internal   swig import helper     File  e  Work Dev VEnvs py 064 03 07 03 test0 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  e  Work Dev VEnvs py 064 03 07 03 test0 lib imp py   line 242  in load module     return load dynamic name  filename  file    File  e  Work Dev VEnvs py 064 03 07 03 test0 lib imp py   line 342  in load dynamic     return  load spec  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   lt string gt    line 1  in  lt module gt    File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow   init   py   line 24  in  lt module gt      from tensorflow python import pywrap tensorflow    pylint  disable unused-import   File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python   init   py   line 49  in  lt module gt      from tensorflow python import pywrap tensorflow   File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow py   line 74  in  lt module gt      raise ImportError msg  ImportError  Traceback  most recent call last     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow py   line 58  in  lt module gt      from tensorflow python pywrap tensorflow internal import     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow internal py   line 28  in  lt module gt       pywrap tensorflow internal   swig import helper     File  e  Work Dev VEnvs py 064 03 07 03 test0 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  e  Work Dev VEnvs py 064 03 07 03 test0 lib imp py   line 242  in load module     return load dynamic name  filename  file    File  e  Work Dev VEnvs py 064 03 07 03 test0 lib imp py   line 342  in load dynamic     return  load spec  ImportError  DLL load failed  The specified module could not be found    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     Looking at the  faulty  module  thanks to Dependency Walker   it turns out that it s not itself that s missing  but some of its dependencies  the cu  100 dll files      Check  SO   Python Ctypes - loading dll throws OSError   WinError 193   1 is not a valid Win32 application   CristiFati s answer   the Conclusions section at the end  for more details on this kind of errors  I had an older CUDA Toolkit version  8   and as a consequence  the cu  80 dll files   Upgrading to TensorFlow-GPU 1 14 0   e  Work Dev VEnvs py 064 03 07 03 test0 Scripts python exe  -m pip install --upgrade tensorflow-gpu   made the error a bit clearer  and also shorter      cfati CFATI-5510-0 e  Work Dev StackOverflow q057588589  gt   e  Work Dev VEnvs py 064 03 07 03 test0 Scripts python exe  -c  import tensorflow as tf  Traceback  most recent call last     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python platform self check py   line 75  in preload check     ctypes WinDLL build info cudart dll name    File  c  install x64 python python 03 07 03 Lib ctypes   init   py   line 356  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   lt string gt    line 1  in  lt module gt    File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow   init   py   line 28  in  lt module gt      from tensorflow python import pywrap tensorflow    pylint  disable unused-import   File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python   init   py   line 49  in  lt module gt      from tensorflow python import pywrap tensorflow   File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python pywrap tensorflow py   line 30  in  lt module gt      self check preload check     File  e  Work Dev VEnvs py 064 03 07 03 test0 lib site-packages tensorflow python platform self check py   line 82  in preload check        build info cudart dll name  build info cuda version number   ImportError  Could not find  cudart64 100 dll   TensorFlow requires that this DLL be installed in a directory that is named in your  PATH  environment variable  Download and install CUDA 10 0 from this URL  https   developer nvidia com cuda-90-download-archive    Steps    Uninstall any CUDA Toolkit version  optional  Install  nVidia Developer   CUDA Toolkit 10 0 Archive   Make sure to install v10 0  that this TensorFlow-GPU version was built against   I installed v10 1  which was the latest  and also the recommended version at the answer time   and the  dll names didn t match  cu  101 dll   Since I didn t want to install v10 0  I created some symlinks  with the  correct  names  to the existing files  and it worked  But bear in mind that this is unsupported    You may experience funny behavior  including crashes   This is a  lame  workaround  gainarie  Additionally  a compatible  meaning that it s for a specific CUDA Toolkit version  cuDNN version   nVidia Developer   cuDNN Archive  is required  In order to access the download URL  nVidia membership is required    After the above steps  and also setting the correct paths  it worked     cfati CFATI-5510-0 e  Work Dev StackOverflow q057588589  gt  set PATH  PATH   CUDA PATH  bin f  Install x64 NVidia GPU Computing Toolkit cuDNN 7 6 bin   cfati CFATI-5510-0 e  Work Dev StackOverflow q057588589  gt   e  Work Dev VEnvs py 064 03 07 03 test0 Scripts python exe  -c  import tensorflow print   Success        Success

User · Answer

I posted a general approach for troubleshooting the  quot DLL load failed quot  problem in this post on Windows systems  For reference    Use the DLL dependency analyzer Dependencies to analyze  lt Your Python Dir gt  Lib site-packages tensorflow python  pywrap tensorflow internal pyd and determine the exact missing DLL  indicated by a   beside the DLL   The path of the  pyd file is based on the TensorFlow 1 9 GPU version that I installed  I am  not sure if the name and path is the same in other TensorFlow versions   Look for information of the missing DLL and install the appropriate package to resolve the problem

User · Answer

For tensorflow with CPU only     I had installed tensorflow using command   pip3 install --upgrade tensorflow   This installed tensorflow 1 7  But could not import the tensorflow from withing python 3 6 5 amd64 using   import tensorflow as tf   So  i downgraded the tensorflow version from 1 7 to 1 5 using following command   pip3 install tensorflow  1 5   This uninstalled the previous version and installed 1 5  Now it works   Seems that  my CPU does not support AVX instruction set that is needed in tensorflow 1 7  I had MSVCP140 DLL in the system folders and  DLL in the PATHEXT variable in Environment Variable

User · Answer

My two cents   I had a ton of problems trying to get my CUDA 8 0 installed properly on Windows 7  I had a previous version installed and I wanted to upgrade so I uninstalled it and tried to install CUDA 8 0  for tensorflow 1 3   The installation failed every single time  I tried to downgrade to CUDA 7 5 and was able to install it but had a ton of problems with tensorflow  similar to the PATH problem described here   Long story short  what worked for me was   1  Uninstall EVERY NVIDIA component  except the display graphics driver   2  Download CUDA toolkit 8 0  and the patch  https   developer nvidia com cuda-downloads  3  Check the CheckSum MD5  I used MS https   www microsoft com en-ca download confirmation aspx id 11533 but any would do  to make sure they were OK  it happened several times that the installer was not dowloaded properly because my WiFi router apparently    4  Run the CUDA toolkit installer as root  5  download the cudnn 8 0 v6 and add its location to the PATH variable https   developer nvidia com rdp cudnn-download  Hope that helps and saves some headaches      NOTE  This script helped me a lot to debug the problem   Thank you mrry  https   gist github com mrry ee5dbcfdd045fa48a27d56664411d41c

User · Answer

TensorFlow requires MSVCP140 DLL  which may not be installed on your system  To solve it open the terminal en type or paste this link    C   gt  pip install --upgrade https   storage googleapis com tensorflow windows cpu tensorflow-1 0 0-cp35-cp35m-win amd64 whl    Note this is to install the CPU-only version of TensorFlow

User · Answer

cuDNN causes my problem  PATH variable doesn t work for me  I have to copy the files in my cuDNN folders into respectful CUDA 8 0 folder structure

User · Answer

I have Win7 Pro 64-bit on AMD cpu  no gpu  I was following the instructions under  quot Installing with native pip quot  at https   www tensorflow org install install windows  The installation step went ok but the attempt to import tensorflow produced the infamous  ImportError  No module named   pywrap tensorflow internal   This seems to be one of those situations where a lot of unrelated things can go wrong  depending on configuration  which all cascade through to the same error  In my case  installing MSVCP140 DLL was the answer  You have MSVCP140 DLL already if  you have a file C  Windows System32 MSVCP140 DLL  AND if you have a 64 bit system  then you additionally have C  Windows SysWOW64 MSVCP140 DLL   I installed it manually  which was unnecessary  the redistributable is not the whole Visual C   development mess and isn t large   Use the link posted earlier in this thread to install it  Visual C   2015 redistributable  Also  I recommend that you override the default install directory for Python and put it anywhere not under C  Program Files  because Windows tries to write-protect files there  which causes problems later

User · Answer

For the people finding this post in 2019  this error could also occur because the Python version 3 7 does not have support for TensorFlow  see https   www tensorflow org install pip   So  check the Python version   python --version   In case it is larger than 3 6  it should be downgraded to 3 6  For Anaconda   conda install python 3 6   Then  install TensorFlow   pip install tensorflow   Btw  I did not have the GPU version  so there were no CUDA related issues in my case

User · Answer

After much trial and error  and making sure VC   2015 Redistributable  cuDNN DLL and all other dependencies are accessible from PATH  it looks like Tensorflow GPU works only with Python 3 5 2  as of this writing   So if you re using Anaconda   conda create -n tensorflow-gpu python 3 5 2 activate tensorflow-gpu pip install tensorflow-gpu   Then open the python interpreter and verify   gt  gt  gt  import tensorflow as tf  gt  gt  gt  sess   tf Session config tf ConfigProto log device placement True        Found device 0 with properties    name  GeForce 940M   major  5 minor  0   memoryClockRate  GHz  1 176   pciBusID 0000 06 00 0   Total memory  2 00GiB   Free memory  1 66GiB     Credits  this neat guide

User · Answer

In my case the  cudnn64 6 dll  file in the  bin folder had to be renamed to  cudnn64 5 dll  for the error to go away  I easily spent two hours to figure this out  and I followed the official install guide to the letter  This is true for installation via pip  officially supported  and conda  community supported

User · Answer

The problem was the cuDNN Library for me  I was able to run the test code after adding the directory  possibly bin folder  of the cuDNN DLL  not LIB file  in the Windows PATH     For the reference  I installed TensorFlow from the source using PIP and my OS  Windows 7 and IDE  Visual Studio 2015

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One may be tempted to keep the Powershell cmd open on Windows  I ve spent reasonable time till I decided to close and reopen my Powershell only to realize that I ve done everything right

User · Answer

With TensorFlow release 1 3 0  you need to use Cudnn 6 0 instead of Cudnn 5 0 as Cudnn 5 0 is giving this error  Don t forget to add path variable to Cudnn 6 0  With cudnn64 6 dll your Tensorflow will work fine  Read the link below  https   github com tensorflow tensorflow blob master RELEASE md release-130

[tensorflow] On Windows, running "import tensorflow" generates No module named "_pywrap_tensorflow" error

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