PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2025-46153US | — | — | ||
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Drop… | ||||
02
references
External citations — patches, advisories, analysis.
- https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aADVISORY
- https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28aADVISORY
- https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0WEB
- https://github.com/pytorch/pytorch/issues/142853REPORT
- https://github.com/pytorch/pytorch/pull/143460FIX
scry
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