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PyTorch's Next Generation of Data Tooling

Posted Apr 12
# Data engineering
# Open Source
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SPEAKER
Donny Greenberg
Donny Greenberg
Donny Greenberg
Product Management Lead, PyTorch @ Meta

Donny Greenberg is the PyTorch PM lead at Meta, supporting the AI community across research, production, OSS, and enterprise. Recent projects include TorchRec, the open-sourcing of Meta's large-scale recommendations infra, TorchArrow&TorchData, PyTorch's next generation of data APIs, and unified training infrastructure at Meta. He previously worked at IBM as a Quantum Computing Researcher and Tech Lead for IBM's open-source Quantum Algorithms library, and at Google on its Ad Exchange real-time bidding platform. He holds 9 patents and graduated from Binghamton University with bachelor's degrees in Computer Science, Mathematics, and Finance.

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Donny Greenberg is the PyTorch PM lead at Meta, supporting the AI community across research, production, OSS, and enterprise. Recent projects include TorchRec, the open-sourcing of Meta's large-scale recommendations infra, TorchArrow&TorchData, PyTorch's next generation of data APIs, and unified training infrastructure at Meta. He previously worked at IBM as a Quantum Computing Researcher and Tech Lead for IBM's open-source Quantum Algorithms library, and at Google on its Ad Exchange real-time bidding platform. He holds 9 patents and graduated from Binghamton University with bachelor's degrees in Computer Science, Mathematics, and Finance.

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SUMMARY

An overview and lookahead of our data efforts within PyTorch, including our new API extension points to support state-of-the-art ML data processing in both research and production. TorchData, an extensible library for constructing data loading graphs, and TorchArrow, and lightweight front-end for dispatchable data processing, will be introduced with examples.

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