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I trained a model in keras on a Linux platform and saved the model with a model.save_weights("demandFinal.h5")

And then I was hoping to take my complete saved model to IPython on my Windows 10 laptop running Anaconda 3.7 and use it with:

from keras.models import load_model

# load weights into new model
loaded_model.load_weights("demandFinal.h5")
print("Loaded model from disk")

But I am running into some issues.. First I forgot Keras wasn't installed so I did a !pip install keras no problems. Then !pip install Tensorflow whether that was needed or not..

Now I have a numpy error:

ImportError: numpy.core.umath failed to import

After some research online, I did a pip install -U numpy which installed that package... But I still have the same issue.. When I run the load_model in IPython anaconda 3.7, this will cause the kernel to crash/restart. Full traceback:

C:UsersbbartlingDesktopEC

Using TensorFlow backend.

---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'


---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
ImportError: numpy.core.multiarray failed to import

The above exception was the direct cause of the following exception:

SystemError Traceback (most recent call last)
C:ProgramDataAnaconda3libimportlib_bootstrap.py in _find_and_load(name, import_)

SystemError: <class '_frozen_importlib._ModuleLockManager'> returned a result with an error set


---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
ImportError: numpy.core._multiarray_umath failed to import


---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
ImportError: numpy.core.umath failed to import

Hopefully I didn't screw up my anaconda installation... But would anyone have any tips to try? Sorry not a lot of wisdom here... But maybe there is a better way to save the model as json or yml file to the process I was hoping run the model on a Windows machine after the training...

Do utilize a deep learning model on a Windows machine do I need the deep learning libraries installed? I was hoping to not have to install Tensorflow

EDIT

See this follow up SO post as final solution

idk actualy what is anaconda but anaconda users's path where python files stored not looks healty and almost all anaconda users's path looks different

but this error causes numpy version probably youre using numpy 1.15 wich doesnot have numpy.core._multiarray_umath. upgrading numpy to 1.16 hopfuly solve error

pip install --upgrade numpy==1.16.1

after installation run python -c "import numpy.core._multiarray_umath" if you get error you have a problem with numpy installation.

edit) package installation for anaconda:

• 
  

  for current environment:

  
  
  

  conda install numpy=1.16.1

  
  


• 
  

  for spesific environment:

  
  
  

  conda install numpy=1.16.1 -n python37_environment