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GPU memory consumption
See original GitHub issueHi,
when running PatchmatchNet on ETH3D dataset through eval.py, I end up using 15GB of GPU memory, and the paper reports 5529 MB. Could it be the case that all images for all scenes are loaded at the same time into the memory through Dataloader? Or Is there something else in the code that might be causing such large memory consumption?
I appreciate your answer, thanks.
Best, Sinisa
Issue Analytics
- State:
- Created 2 years ago
- Comments:17 (2 by maintainers)
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@anmatako thank you very much! Cuda111+torch1.9.1 work right
@atztao I am sharing the new point cloud retuls along with a text file with the metrics. For comparison here are the legacy point cloud results with a metrics text file as well.