PyTorch before 3.7.0 has a bernoullip 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 fallbackrandom=True.
{ "binaries": [ { "binary_name": "libtorch-test", "binary_version": "1.8.1-4" }, { "binary_name": "libtorch1.8", "binary_version": "1.8.1-4" }, { "binary_name": "python3-torch", "binary_version": "1.8.1-4" } ] }
"https://github.com/canonical/ubuntu-security-notices/blob/main/osv/cve/2025/UBUNTU-CVE-2025-46153.json"
{ "binaries": [ { "binary_name": "libtorch-test", "binary_version": "2.6.0+dfsg-7" }, { "binary_name": "libtorch2.6", "binary_version": "2.6.0+dfsg-7" }, { "binary_name": "python3-torch", "binary_version": "2.6.0+dfsg-7" } ] }