Name: A torch.fx Based Compression Toolkit Empowered by torch_musa - Fan Mo, Moore Threads
Start: 2025-06-07T11:50:00+0800
End: 2025-06-07T12:00:00+0800

In-person | 2025 June 7
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Saturday June 7, 2025 11:50 - 12:00 CST

TBA

An introduction of torch_musa, which is built by Moore Threads to provide PyTorch backend support for MUSA architecture, and with its customized support for quantization, we built a light-weight model compression toolkit named NeuroTrim, which can quantize a variety of deep learning models and run it on native PyTorch.
We expanded the graph tracing capability of PyTorch by integrating fx graph, torchInductor, and ExportedIR, and added many lowered operators in torch_musa, which can be easily used for debugging, and then export to ONNX or other formats for custom accelerator hardwares.

Speakers

Fan Mo

Machine Learning Engineer, Moore Threads

Fan Mo received a M.S degree in 2020 from Shanghai JiaoTong University, who has held machine learning engineer at Moore Threads. His current work focuses on AI Infrastructure, and is the principal maintainer of torch_musa, an open-source project that provides PyTorch backend support... Read More →

Saturday June 7, 2025 11:50 - 12:00 CST
TBA

Session Presentation

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PyTorch Day China 2025

Fan Mo

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