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NiuChH avatar NiuChH commented on August 22, 2024 2

Yes, we do encourage people to create to run the code in an isolated environment. That's why virtualenv is recommended in README. You can use it by

virtualenv <env_name>
source <env_name>/bin/activate
pip install -r requirements.txt

And there are equivalent commands for conda. You can use either way to build an isolated python environment.

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NiuChH avatar NiuChH commented on August 22, 2024
  1. Our code is compatible with TensorFlow 1.12.0 (we have fixed it in requirements.txt). Sorry, we cannot update it to a more recent version, due to the dependency on TensorFlow-probability 0.5.0.
  2. The error introduced by test_labels directory name has been fixed in a recent commit.

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swissbeats93 avatar swissbeats93 commented on August 22, 2024

Maybe just create a conda environment for everything. That way when people test the code they can do it in an isolated environment

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