Name: Torchtitan: Large-Scale LLM Training Using Native PyTorch 3D Parallelism - Wanchao Liang, Meta
Start: 2024-09-19T14:30:00-0700
End: 2024-09-19T14:55:00-0700

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 2:30pm - 2:55pm PDT

Room B

torchtitan is a proof-of-concept for Large-scale LLM training using native PyTorch. It is a repo that showcases PyTorch's latest distributed training features in a clean, minimal codebase. We show-cased end to end large scale training features enablement: 1. 3D/4D Parallelism 2. Efficient distributed checkpoint save/load/resharding 3. Many efficient training techniques including Float8, torch.compile, activation checkpoint, etc.

Speakers

Wanchao Liang

Software Engineer, Meta

Software Engineer at Meta, PyTorch team Tech Lead in PyTorch Distributed training. Author of torchtitan, Tensor Parallel and DTensor, a fundamental distributed abstraction to perform distributed computation. Previously worked on the TorchScript compiler, ONNX.

Thursday September 19, 2024 2:30pm - 2:55pm PDT
Room B

Breakout Sessions

Audience Intermediate

PyTorch Conference 2024

Wanchao Liang

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