DataLoader docs update to describe how workers are managed, including Windows. #18091
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ssnl
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Mar 16, 2019
torch/utils/data/dataloader.py
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| child workers to access the dataset and argument functions directly through the | ||
| cloned address space, on Windows another Python interpreter is launched which runs | ||
| your main script, followed by the internal worker function. Windows worker functions | ||
| receive dataset, collate_fn and other arguments through Pickle serialization. |
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Every argument should be formatted as :attr:`xxx`
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Which arguments are you referring to - function names? What will that do? I think it looks good enough at this point :)
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soumith
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Apr 25, 2019
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@soumith is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
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… Windows. (pytorch#18091) Summary: It's been hard to understand how workers are launched and what code runs in the worker vs. main process, especially on Windows, which leads to many of our samples failing. This explains when workers run an how to make code work on Windows as well. Pull Request resolved: pytorch#18091 Differential Revision: D15083766 Pulled By: soumith fbshipit-source-id: 8a7e60defc8a72ec63874f657d7d5267d951dccf
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It's been hard to understand how workers are launched and what code runs in the worker vs. main process, especially on Windows, which leads to many of our samples failing. This explains when workers run an how to make code work on Windows as well.