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  • marcosrdac · 2 ✖

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  • Training on xarray files leads to CPU memory leak (PyTorch) · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1381839977 https://github.com/pydata/xarray/issues/7429#issuecomment-1381839977 https://api.github.com/repos/pydata/xarray/issues/7429 IC_kwDOAMm_X85SXTRp marcosrdac 7348840 2023-01-13T13:17:42Z 2023-01-13T13:17:42Z NONE

I've managed to try this bug on a virtualenv and could not see any leaks, the code ran nicely. Also in my real case.

So it seems to be a singularity problem.

Closing the issue.

 
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   Training on xarray files leads to CPU memory leak (PyTorch) 1525546857
1375630008 https://github.com/pydata/xarray/issues/7429#issuecomment-1375630008 https://api.github.com/repos/pydata/xarray/issues/7429 IC_kwDOAMm_X85R_nK4 marcosrdac 7348840 2023-01-09T13:30:16Z 2023-01-09T13:31:02Z NONE

Update: If not using my cluster and its docker image but a colab notebook, I could not reproduce the leak.

Below benchmark uses XarrayDataset and concat_operations=4.

| epoch | memory (GB) | |-------|-------------| | 0 | 0.357 | | 1 | 11.144 | | 2 | 11.117 | | 3 | 10.965 | | 4 | 10.965 | | 5 | 10.965 | | 6 | 10.965 | | 7 | 10.965 | | 8 | 10.965 | | 9 | 10.965 | | 10 | 10.965 |

 
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   Training on xarray files leads to CPU memory leak (PyTorch) 1525546857

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