The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered to participate in the sessions. If you have not registered but would like to join us, please visit the BAAI Conference webpage.
Please note: This schedule is automatically displayed in China Standard Time (UTC+08:00). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.
IMPORTANT NOTE: Timing of sessions and room locations are subject to change.
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torch dynamo is the core compilation optimization component in pytorch 2.0. torch dynamo can optimize dynamic graphs with minor modifications, and fall back to the default implementation when it is not supported, which greatly reduces the difficulty of enabling compilation optimization.
However, in practice, due to the diversity of AI workloads, there is still a certain threshold for enabling torch dynamo. To address these issues, we have optimized torch.compile to make it easier for users of different models (LLM/others) and loads (inference/training) to benefit from compilation optimization.
Yichen Yan now works as a senior software engineer at Alibaba, focusing on optimization of runtime (CPython, Java, Node.js) and machine learning frameworks.
