import TensorFlow: [WinError 126] The specified module could not be found









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I would like to learn to use TensorFlow but, of course, I am not even able to install it!



These are the info about my case:



  • Python 3.6 64-bit

  • Intel(R) HD Graphics 520

  • Intel i7

  • Windows 7

  • numpy 1.14.1

I have followed these steps:



  1. On cmd: C:> pip3 install --upgrade tensorflow-gpu

  2. On Python: import tensorflow

But I get the following error:



Traceback (most recent call last):
File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 62, in preload_check
ctypes.WinDLL(build_info.nvcuda_dll_name)
File "C:UsersVESAppDataLocalProgramsPythonPython36libctypes__init__.py", line 348, 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 "<pyshell#0>", line 1, in <module>
import tensorflow
File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflow__init__.py", line 24, in <module>
from tensorflow.python import *
File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpython__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonpywrap_tensorflow.py", line 30, in <module>
self_check.preload_check()
File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 70, in preload_check
% build_info.nvcuda_dll_name)
ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Typically it is installed in 'C:WindowsSystem32'. If it is not present, ensure that you have a CUDA-capable GPU with the correct driver installed.









share|improve this question



























    up vote
    0
    down vote

    favorite












    I would like to learn to use TensorFlow but, of course, I am not even able to install it!



    These are the info about my case:



    • Python 3.6 64-bit

    • Intel(R) HD Graphics 520

    • Intel i7

    • Windows 7

    • numpy 1.14.1

    I have followed these steps:



    1. On cmd: C:> pip3 install --upgrade tensorflow-gpu

    2. On Python: import tensorflow

    But I get the following error:



    Traceback (most recent call last):
    File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 62, in preload_check
    ctypes.WinDLL(build_info.nvcuda_dll_name)
    File "C:UsersVESAppDataLocalProgramsPythonPython36libctypes__init__.py", line 348, 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 "<pyshell#0>", line 1, in <module>
    import tensorflow
    File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflow__init__.py", line 24, in <module>
    from tensorflow.python import *
    File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpython__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
    File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonpywrap_tensorflow.py", line 30, in <module>
    self_check.preload_check()
    File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 70, in preload_check
    % build_info.nvcuda_dll_name)
    ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Typically it is installed in 'C:WindowsSystem32'. If it is not present, ensure that you have a CUDA-capable GPU with the correct driver installed.









    share|improve this question

























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I would like to learn to use TensorFlow but, of course, I am not even able to install it!



      These are the info about my case:



      • Python 3.6 64-bit

      • Intel(R) HD Graphics 520

      • Intel i7

      • Windows 7

      • numpy 1.14.1

      I have followed these steps:



      1. On cmd: C:> pip3 install --upgrade tensorflow-gpu

      2. On Python: import tensorflow

      But I get the following error:



      Traceback (most recent call last):
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 62, in preload_check
      ctypes.WinDLL(build_info.nvcuda_dll_name)
      File "C:UsersVESAppDataLocalProgramsPythonPython36libctypes__init__.py", line 348, 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 "<pyshell#0>", line 1, in <module>
      import tensorflow
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflow__init__.py", line 24, in <module>
      from tensorflow.python import *
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpython__init__.py", line 49, in <module>
      from tensorflow.python import pywrap_tensorflow
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonpywrap_tensorflow.py", line 30, in <module>
      self_check.preload_check()
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 70, in preload_check
      % build_info.nvcuda_dll_name)
      ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Typically it is installed in 'C:WindowsSystem32'. If it is not present, ensure that you have a CUDA-capable GPU with the correct driver installed.









      share|improve this question















      I would like to learn to use TensorFlow but, of course, I am not even able to install it!



      These are the info about my case:



      • Python 3.6 64-bit

      • Intel(R) HD Graphics 520

      • Intel i7

      • Windows 7

      • numpy 1.14.1

      I have followed these steps:



      1. On cmd: C:> pip3 install --upgrade tensorflow-gpu

      2. On Python: import tensorflow

      But I get the following error:



      Traceback (most recent call last):
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 62, in preload_check
      ctypes.WinDLL(build_info.nvcuda_dll_name)
      File "C:UsersVESAppDataLocalProgramsPythonPython36libctypes__init__.py", line 348, 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 "<pyshell#0>", line 1, in <module>
      import tensorflow
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflow__init__.py", line 24, in <module>
      from tensorflow.python import *
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpython__init__.py", line 49, in <module>
      from tensorflow.python import pywrap_tensorflow
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonpywrap_tensorflow.py", line 30, in <module>
      self_check.preload_check()
      File "C:UsersVESAppDataLocalProgramsPythonPython36libsite-packagestensorflowpythonplatformself_check.py", line 70, in preload_check
      % build_info.nvcuda_dll_name)
      ImportError: Could not find 'nvcuda.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Typically it is installed in 'C:WindowsSystem32'. If it is not present, ensure that you have a CUDA-capable GPU with the correct driver installed.






      python tensorflow cuda






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      edited Mar 14 at 10:55









      Batsu

      1,9201527




      1,9201527










      asked Mar 14 at 9:37









      Stefano

      11118




      11118






















          1 Answer
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          up vote
          2
          down vote



          accepted










          To run tensorflow with GPU support you'll need a NVIDIA graphic card and the CUDA libraries installed (see requirements here), unfortunately your Intel(R) HD Graphics 520 won't do.



          You can settle for the CPU version (pip3 install --upgrade tensorflow), which is still good to start learning.



          UPDATE: another solution is to use the online service Google Colab, which allows you to borrow a GPU from Google's cloud infrastructure for learning purposes.






          share|improve this answer






















          • man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
            – Stefano
            Mar 14 at 9:57










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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          2
          down vote



          accepted










          To run tensorflow with GPU support you'll need a NVIDIA graphic card and the CUDA libraries installed (see requirements here), unfortunately your Intel(R) HD Graphics 520 won't do.



          You can settle for the CPU version (pip3 install --upgrade tensorflow), which is still good to start learning.



          UPDATE: another solution is to use the online service Google Colab, which allows you to borrow a GPU from Google's cloud infrastructure for learning purposes.






          share|improve this answer






















          • man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
            – Stefano
            Mar 14 at 9:57














          up vote
          2
          down vote



          accepted










          To run tensorflow with GPU support you'll need a NVIDIA graphic card and the CUDA libraries installed (see requirements here), unfortunately your Intel(R) HD Graphics 520 won't do.



          You can settle for the CPU version (pip3 install --upgrade tensorflow), which is still good to start learning.



          UPDATE: another solution is to use the online service Google Colab, which allows you to borrow a GPU from Google's cloud infrastructure for learning purposes.






          share|improve this answer






















          • man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
            – Stefano
            Mar 14 at 9:57












          up vote
          2
          down vote



          accepted







          up vote
          2
          down vote



          accepted






          To run tensorflow with GPU support you'll need a NVIDIA graphic card and the CUDA libraries installed (see requirements here), unfortunately your Intel(R) HD Graphics 520 won't do.



          You can settle for the CPU version (pip3 install --upgrade tensorflow), which is still good to start learning.



          UPDATE: another solution is to use the online service Google Colab, which allows you to borrow a GPU from Google's cloud infrastructure for learning purposes.






          share|improve this answer














          To run tensorflow with GPU support you'll need a NVIDIA graphic card and the CUDA libraries installed (see requirements here), unfortunately your Intel(R) HD Graphics 520 won't do.



          You can settle for the CPU version (pip3 install --upgrade tensorflow), which is still good to start learning.



          UPDATE: another solution is to use the online service Google Colab, which allows you to borrow a GPU from Google's cloud infrastructure for learning purposes.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 10 at 3:55









          Pang

          6,8301563101




          6,8301563101










          answered Mar 14 at 9:42









          Batsu

          1,9201527




          1,9201527











          • man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
            – Stefano
            Mar 14 at 9:57
















          • man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
            – Stefano
            Mar 14 at 9:57















          man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
          – Stefano
          Mar 14 at 9:57




          man.. you have solved my sufferings! I have settled the CPU version and now it works. thanks!!
          – Stefano
          Mar 14 at 9:57

















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