Name: Implementing a Custom Torch.Compile Backend - A Case Study - Maanav Dalal & Yulong Wang, 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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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

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

Festival Pavilion - Breakout 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

Yulong Wang

Software Engineer, Microsoft

ONNX Runtime Web

Maanav Dalal

Program Manager, 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.

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

Breakout Sessions

Audience Intermediate

PyTorch Conference 2024

Yulong Wang

Maanav Dalal

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