RecCompl is a comprehensive model compilation system that enables efficient model compilation of industrial scale DLRMs with PT2 and introduces a configuration-based user interface that decouples compilation settings from model code, allowing fine-grained control without intrusive changes.
Chang-Ji Li, Shuai Yang, Yu-Zhen Huang et al.· Proceedings of the 32nd ACM...· 0 citations
This work is the first to establish the finite-time convergence for achieving lower-level second-order stationary solutions in general LLNC-BLO and proposes the PROBE (Perturbed gradient algorithm for bilevel problem), which achieves a finite-time convergence rate of O(T^{-2/5}) where T denotes iterations.
Zhi-Yao Zhang, Meng-Lu Yu, Alvaro Velasquez et al.· 0 citations
RecCompl is a comprehensive model compilation system that enables efficient model compilation of industrial scale DLRMs with PT2 and introduces a configuration-based user interface that decouples compilation settings from model code, allowing fine-grained control without intrusive changes.
Changji Li, Shuai Yang, Yuzhen Huang et al.· Proceedings of the 32nd ACM...· 0 citations
Optimus is a general-purpose model transformation framework built in the PyTorch 2.x (PT2) machine learning compiler that applies an efficient greedy search algorithm for pattern matching and replacement, while preserving model semantic.
Menglu Yu, Jiaqi Xu, Yuzhen Huang et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
