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.
Weakness
The product performs CPU computations using algorithms that are not as efficient as they could be for the needs of the developer, i.e., the computations can be optimized further.
Affected Software
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Pytorch | Linuxfoundation | 2.6.0 (including) | 2.7.0 (excluding) |
| Pytorch | Ubuntu | plucky | * |