Disallow num_workers > 0 for DataLoader on Windows#5591
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ezyang merged 1 commit intopytorch:masterfrom Mar 7, 2018
Merged
Disallow num_workers > 0 for DataLoader on Windows#5591ezyang merged 1 commit intopytorch:masterfrom
ezyang merged 1 commit intopytorch:masterfrom
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ezyang
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Mar 6, 2018
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Do we have to skip the corresponding tests in Windows? @yf225 |
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@ezyang In this PR https://github.com/pytorch/pytorch/pull/4640/files#diff-f539198dd366265fb8dc2d661bc5d5bcR618 it's already skipped in the latest commit |
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Existing tests with multiple workers are skipped in #5322. |
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laurentdupin
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Apr 24, 2026
Using DataLoader with num_workers > 0 is known to cause CUDA out-of-memory issue on Windows. This issue has already been noted in pytorch#4092.
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Using DataLoader with num_workers > 0 is known to cause CUDA out-of-memory issue on Windows.
Example: https://ci.pytorch.org/jenkins/job/pytorch-builds/job/pytorch-win-ws2016-cuda9-cudnn7-py3-test/2436//console
This issue has already been noted in #4092.