diffdist
condav0.1Provides differentiable communication primitives such as Send/Recv/Gather etc for pytorch. Autograd can backpropagate through those, making distributed model parallel models easy to implement.
License GPL-3.0-or-later1 versions1 maintainers0 deps17 weekly dl
53
/ 100
Health
safe to use
[email protected] is safe to use (health: 53/100)
Health breakdown0 – 100
20/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/diffdistFirst published · 2025-02-11 08:58:08.141000+00:00
Last updated · 2026-02-12 21:27:31.337000+00:00