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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Affected Vendors & Products
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
Thu, 25 Sep 2025 19:15:00 +0000
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Weaknesses | CWE-1176 | |
Metrics |
cvssV3_1
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Thu, 25 Sep 2025 14:30:00 +0000
Type | Values Removed | Values Added |
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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. | |
References |
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Status: PUBLISHED
Assigner: mitre
Published:
Updated: 2025-09-25T18:33:13.153Z
Reserved: 2025-04-22T00:00:00.000Z
Link: CVE-2025-46153

Updated: 2025-09-25T18:32:30.058Z

Status : Received
Published: 2025-09-25T15:16:12.603
Modified: 2025-09-25T19:15:46.473
Link: CVE-2025-46153

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