Name: Data-Dependent Shapes in PT2 - Edward Yang, Meta
Start: 2024-09-19T14:15:00-0700
End: 2024-09-19T14:40:00-0700

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 2:15pm - 2:40pm PDT

Festival Pavilion - Breakout Room A

Data-dependent shapes are ubiquitous whenever you want to take advantage of sparsity in your data representation, whether it is in recommendation systems, mixture of experts or other use cases. We have made a lot of improvements to torch.compile's support for capturing and compiling data dependent shapes, but they also require some user knowledge to work with effectively. This talk will give an overview of PT2's facilities for data dependent compute and how to use them effectively.

Speakers

Edward Z. Yang

Research Engineer, Meta

Edward Yang has worked on PyTorch at Meta since nearly the very beginning. Currently, he works on all aspects of PT2, but with a particular focus on dynamic shapes support across the stack.

Thursday September 19, 2024 2:15pm - 2:40pm PDT
Festival Pavilion - Breakout Room A

Breakout Sessions

Audience Advanced

PyTorch Conference 2024

Edward Z. Yang

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