SGLang Diffusion Retires torch.compile Using AI Agent Optimizations
hsu_byron · x · 2026-08-12
After testing 35 diffusion model presets on H100 and H200 GPUs, SGLang Diffusion found that eager execution now matches or outperforms torch.compile.
Zhihu contributor BBuf argues this goes beyond benchmark results. Agent-written optimizations and Breakable CUDA Graphs can now replace the main benefits torch.compile once offered.
The analysis details three major production failures of torch.compile: slow and unpredictable compilation times (complex models can take over 30 minutes), highly unstable performance across different compiler modes and GPU generations, and a lack of operational flexibility for production serving.
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