pip install error on TensorFlow #78

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1. allo- commented on Oct 19, 2021

   

   allo-

   on Oct 19, 2021

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   You probably use a python versions that is (no longer) supported by tensorflow.

   You may try to find which tensorflow / tensorflow-gpu / tensorflow-cpu / tensorflow-nightly packages may be available. I suppose its something like you're still using python2 and trying to install tensorflow, which only provides python3 packages (like almost every package by now).
2. allo-

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   questionFurther information is requestedFurther information is requested

   on Oct 19, 2021
3. PeterKW commented on Oct 29, 2021

   

   PeterKW

   on Oct 29, 2021

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   Thank you, in the end it had to specify to use python3 ->

   python3.9 -m pip install tensorflow

   python3.9 -m pip install -r requirements.txt
4. PeterKW commented on Oct 29, 2021

   

   PeterKW

   on Oct 29, 2021

   Last edited by PeterKW

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   Any ideas on how to fix the dependency conflicts?

   I tried : python3 -m pip install -I numpy==1.19.3 but it didn't seem to help?

   python3 -m pip install -r requirements.txt

   Collecting tensorflow
     Using cached tensorflow-2.5.0-cp39-cp39-win_amd64.whl (422.6 MB)
   INFO: pip is looking at multiple versions of tfjs-graph-converter to determine which version is compatible with other requirements. This could take a while.
   INFO: pip is looking at multiple versions of <Python from Requires-Python> to determine which version is compatible with other requirements. This could take a while.
   INFO: pip is looking at multiple versions of numpy to determine which version is compatible with other requirements. This could take a while.
   ERROR: Cannot install -r requirements.txt (line 1), numpy==1.18.5 and tensorflow==2.6.0 because these package versions have conflicting dependencies.
   
   The conflict is caused by:
       The user requested numpy==1.18.5
       tensorflow 2.6.0 depends on numpy~=1.19.2
       The user requested numpy==1.18.5
       tensorflow 2.5.1 depends on numpy~=1.19.2
       The user requested numpy==1.18.5
       tensorflow 2.5.0 depends on numpy~=1.19.2
   
   To fix this you could try to:
   1. loosen the range of package versions you've specified
   2. remove package versions to allow pip attempt to solve the dependency conflict
   
   ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies
   
5. allo- commented on Oct 29, 2021

   

   allo-

   on Oct 29, 2021

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   Try to just install the latest versions. The versions in requirements.txt are tested, but using at least a more recent numpy should be no problem (not so sure for tensorflow, which seems to change more often).
6. atisDu commented on Nov 1, 2021

   

   atisDu

   on Nov 1, 2021

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   Just comment out the numpy line in requirements.txt and tensorflow will automatically pull in the right numpy.
7. allo- commented on Nov 1, 2021

   

   allo-

   on Nov 1, 2021

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   I wonder if we should have numpy only as indirect dependency. The project uses it directly, but I guess both tensorflow and mediapipe will always pull a compatible version in.