In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Sat, 27 Sep 2025 00:15:00 +0000

Type Values Removed Values Added
Title torch: PyTorch inconsistent results
Weaknesses CWE-440
References
Metrics threat_severity

None

threat_severity

Moderate


Fri, 26 Sep 2025 11:45:00 +0000

Type Values Removed Values Added
First Time appeared Pytorch
Pytorch pytorch
Vendors & Products Pytorch
Pytorch pytorch

Thu, 25 Sep 2025 19:15:00 +0000

Type Values Removed Values Added
Metrics cvssV3_1

{'score': 5.3, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N'}

ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


Thu, 25 Sep 2025 14:30:00 +0000

Type Values Removed Values Added
Description In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
References

cve-icon MITRE

Status: PUBLISHED

Assigner: mitre

Published:

Updated: 2025-09-25T18:40:55.864Z

Reserved: 2025-04-22T00:00:00.000Z

Link: CVE-2025-46150

cve-icon Vulnrichment

Updated: 2025-09-25T18:40:51.424Z

cve-icon NVD

Status : Awaiting Analysis

Published: 2025-09-25T15:16:12.303

Modified: 2025-09-26T14:32:53.583

Link: CVE-2025-46150

cve-icon Redhat

Severity : Moderate

Publid Date: 2025-09-25T00:00:00Z

Links: CVE-2025-46150 - Bugzilla

cve-icon OpenCVE Enrichment

Updated: 2025-09-26T11:35:49Z