Conflicting requirements.txt
mridup opened this issue · 4 comments
The requirements.txt has conflicting package version numbers once it is iinstalled.
E.g.
ERROR: numba 0.56.4 has requirement numpy<1.24,>=1.18, but you'll have numpy 1.24.2 which is incompatible.
ERROR: onnx 1.13.0 has requirement protobuf<4,>=3.20.2, but you'll have protobuf 3.19.6 which is incompatible.
ERROR: skl2onnx 1.13 has requirement scikit-learn<=1.1.1, but you'll have scikit-learn 1.2.1 which is incompatible.
If we correct the above versions, then more conflicting versions emerge.
Do you have a fixed or frozen requirements.txt file which works for the training phase as required in the HAR example?
@mridup we did not manage to reproduce the reported issue, (tested with Python versions 3.9 and 3.10). Could you (re)try to create a clean Python or Conda virtual environment and install the requirements in it using the following command? Try using Python versions 3.9 or 3.10.
pip install -r requirements.txt --upgrade-strategy only-if-needed
If the issue is still not resolved, kindly share the list of the installed packages along there versions?
You can get it using pip list command (launched in your virtual environment).
@Shahnawax thanks for checking this out.
Actually I used python3.8 and I did use a completely new/clean virtualenv for this purpose.
I can surely try again using python3.9/3.10.
And I will report back the result. Thanks!
@mridup could you confirm if the issue is resolved when you use the Python v3.9/3.10?
The issue is resolved by using the Python version 3.9 or 3.10.