Name: Lightning Talk: Implementing and Using Iterable Datasets: What Could Go Wrong? - Nicolas Hug, Meta
Start: 2024-09-19T11:25:00-0700
End: 2024-09-19T11:35:00-0700

September 18-19, 2024
San Francisco, California
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Thursday September 19, 2024 11:25am - 11:35am PDT

Room C

PyTorch supports two kinds of datasets: Iterable datasets and indexable "map-style" datasets. Iterable datasets can be more flexible and potentially faster than their indexable cousins. They are also much harder to use correctly, and can easily lead to silently wrong results. This talk is a quick and fun intro to some of the traps that Iterable datasets lay out for you, with some tips to help you avoid them.

Speakers

Nicolas Hug

Research Engineer, Meta

Nicolas is a software engineer in the PyTorch team at Meta, where he mainly contributes to the torchvision library. Prior to that, Nicolas was a research scientist at Columbia University, where he became part of the scikit-learn core development team. Nicolas holds a PhD in machine... Read More →

Thursday September 19, 2024 11:25am - 11:35am PDT
Room C

Lightning Talks

Audience Any

PyTorch Conference 2024

Nicolas Hug

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