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I previously raised an issue about upgrading DJL to the latest version and upgrading PyTorch to 2.0.0. At that time, the version I received from the Maven repository was 0.22.0, and I also tested and upgraded all my production services to 0.22.0.
However, I found that the latest version released on the DJL official website is 0.22.1 instead of 0.22.0.
My key questions are:
What are the key changes made in 0.22.1 compared to 0.22.0?
Is it necessary for me to upgrade to 0.22.1?
The text was updated successfully, but these errors were encountered:
0.22.0 default use PyTorch 2.0.0, which we found quite a few issues
What specific issues are there? We will evaluate and test whether it will affect our use case.
We upgraded to DJL 0.22.0-2.0.0 solely for the purpose of preparing for training models with PyTorch 2.0.0. We are currently planning to upgrade our training PyTorch version from 1.12.1 to 2.0.0. Are there any concerns with this upgrade?
Or do you think we should hold off on upgrading the PyTorch version for model training pipeline until a more stable release version of DJL is available in the future?
I previously raised an issue about upgrading DJL to the latest version and upgrading PyTorch to 2.0.0. At that time, the version I received from the Maven repository was 0.22.0, and I also tested and upgraded all my production services to 0.22.0.
However, I found that the latest version released on the DJL official website is 0.22.1 instead of 0.22.0.
My key questions are:
The text was updated successfully, but these errors were encountered: