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
Although bilevel optimization (BLO) has emerged as a powerful framework for addressing many complex and nested machine learning problems in recent years, most existing studies are confined to the lower-level strongly convex (LLSC) or lower-level generally convex (LLGC) settings (i.e., the lower-level objective function...
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.
