Name: Implementing a Custom Torch.Compile Backend - a Case Study - Maanav Dalal & Xavier Dupré, Microsoft
Start: 2024-09-19T17:05:00-0700
End: 2024-09-19T17:30:00-0700

September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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Thursday September 19, 2024 5:05pm - 5:30pm PDT

Room B

This presentation will dive into the development of the ONNXRuntime (ORT) backend for torch.compile. We'll cover the implementation process, starting with a PyTorch 2.0 generated FX graph, highlighting the unique challenges encountered when serving ORT-specific scenarios and how we solved them. Attendees will gain insights into optimizing performance, overcoming integration hurdles, and achieving efficient execution. Whether you're a developer looking to extend PyTorch's capabilities for your own use cases, keen to learn about ONNX Runtime, or interested in backend performance optimization, and the many steps we've taken to get to where we are now, this session promises valuable takeaways and practical knowledge.

Speakers

Maanav Dalal

Maanav Dalal - Program Manager, AI Frameworks, Microsoft

PM @Microsoft, working on the ONNX Exporter team. I adore learning about consumer tech and experimenting with bleeding edge software. I'm passionate about creating delightful user experiences.

Xavier Dupré

Implementing a custom torch.compile backend - a case study, Microsoft

A few years after completing his PhD in handwritten word recognition, Xavier Dupré joined Microsoft to work on Bing mostly improving its relevance. Xavier then became a key contributor to the ONNX ecosystem, focusing on developing several conversion libraries such as sklearn-onnx... Read More →

Thursday September 19, 2024 5:05pm - 5:30pm PDT
Room B

Breakout Sessions

Audience Intermediate

PyTorch Conference 2024

Maanav Dalal

Xavier Dupré

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