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liuzhuang13 avatar liuzhuang13 commented on May 22, 2024 3

@impredicative At the start time of this project Python 3.6 was the latest version. I think Python 3.6 is still a more popular release of Python today. The authors are more familiar with PyTorch 0.3.x. Some of the code we used is also written in Pytorch 0.3.x.

What affects the results is the hyperparameters rather than versions. We don't have to rewrite and rerun all the resource-consuming experiments when a new release comes out. The code can be adapted to any version of Python or PyTorch straightforwardly while still able to reproduce the results. Though I think there's no need to do this, as you can install virtual environment instead.

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Eric-mingjie avatar Eric-mingjie commented on May 22, 2024

The Python version we use in our experiments is 3.6.4. The package torch version is 0.3.1.

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impredicative avatar impredicative commented on May 22, 2024

Why not ensure the results are reproducable with the current versions of Python and Pytorch, at least as of the release date of the paper? It's a reasonable expectation. Pytorch 0.4.1 has been out since July 2018. The paper is dated Oct 2018.

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