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DataLoader with multiple workers leaks memory
Manage episode 301257355 series 2921809
Content provided by PyTorch, Edward Yang, and Team PyTorch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PyTorch, Edward Yang, and Team PyTorch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Today I'm going to talk about a famous issue in PyTorch, DataLoader with num_workers > 0 causes memory leak (https://github.com/pytorch/pytorch/issues/13246). This bug is a good opportunity to talk about DataSet/DataLoader design in PyTorch, fork and copy-on-write memory in Linux and Python reference counting; you have to know about all of these things to understand why this bug occurs, but once you do, it also explains why the workarounds help.
Further reading.
- A nice summary of the full issue https://github.com/pytorch/pytorch/issues/13246#issuecomment-905703662
- DataLoader architecture RFC https://github.com/pytorch/pytorch/issues/49440
- Cinder Python https://github.com/facebookincubator/cinder
82 episodes
Share
Manage episode 301257355 series 2921809
Content provided by PyTorch, Edward Yang, and Team PyTorch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PyTorch, Edward Yang, and Team PyTorch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Today I'm going to talk about a famous issue in PyTorch, DataLoader with num_workers > 0 causes memory leak (https://github.com/pytorch/pytorch/issues/13246). This bug is a good opportunity to talk about DataSet/DataLoader design in PyTorch, fork and copy-on-write memory in Linux and Python reference counting; you have to know about all of these things to understand why this bug occurs, but once you do, it also explains why the workarounds help.
Further reading.
- A nice summary of the full issue https://github.com/pytorch/pytorch/issues/13246#issuecomment-905703662
- DataLoader architecture RFC https://github.com/pytorch/pytorch/issues/49440
- Cinder Python https://github.com/facebookincubator/cinder
82 episodes
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Similar to PyTorch Developer Podcast
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continue reading
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continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
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continue reading
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…
continue reading
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continue reading
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