chore: restrict torch version to below 2.4 in dependencies (fix the libcudnn dependencies common issue) #1133
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jim60105
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torch depends on libcudnn9 from version 2.4.0 onward. If we restrict torch<2.4.0, there is no need to manually install libcudnn8 and also save about 1GB disk space. restrict onnxruntime to version 1.19 for python 3.9 compatibility - Update torch dependency to be below version 2.4.0 instead of at least 2.5.1 - Change torchaudio dependency to have no minimum version specified - Restrict the onnxruntime dependency to versions >=1.19 and <1.20.0 to avoid potential compatibility issues. Signed-off-by: CHEN, CHUN <[email protected]>
…n README" This reverts commit 6fe0a87. Revert the commit now that the issue is fixed. Signed-off-by: CHEN, CHUN <[email protected]>
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After running Build fails due to torch vulnerability CVE-2025-32434 requiring PyTorch v2.6+ upgrade
After carefully reading the CVE, I believe upgrading to torch >= 2.6.0 has become a MUST, so I will now abandon this PR. In addition, the limitation I mentioned in PR #1098 is likely to be encountered again. I will double-check the version dependencies in detail. |
This was referenced Jun 30, 2025
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A recent commit cd59f21 downgraded ctranslate2 to version 4.4.0, meaning we will remain on cudnn8.
torch depends on libcudnn9 from version 2.4.0 onward.
If we restrict torch<2.4.0, there is no need to manually install libcudnn8 and also save about 1GB disk space.
This PR:
Related #1087, #1158