Description

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.

INFO

Published Date :

2025-09-25T00:00:00.000Z

Last Modified :

2025-09-25T18:33:13.153Z

Source :

mitre
AFFECTED PRODUCTS

The following products are affected by CVE-2025-46153 vulnerability.

Vendors Products
Linuxfoundation
  • Pytorch
Pytorch
  • Pytorch
REFERENCES

Here, you will find a curated list of external links that provide in-depth information to CVE-2025-46153.

URL Resource
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a cve-icon cve-icon cve-icon
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/commit/288aa873831057b1eb7d747914ec4fdc76c23a80 cve-icon
https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0 cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/issues/142853 cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/pull/143460 cve-icon cve-icon cve-icon
https://nvd.nist.gov/vuln/detail/CVE-2025-46153 cve-icon
https://www.cve.org/CVERecord?id=CVE-2025-46153 cve-icon
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