26 сент. 2020 г. · I'm facing a problem when setting the num_workers value in the DataLoader bigger than 0. In particular I'm trying to train a custom model on a custom dataset.

29 янв. 2021 г. · I have seen lots of issues related to python multiprocssing on Windows. As there is no fork on windows platform, the if __name__ == '__main__' is needed.

15 апр. 2023 г. · Setting num_workers=0 for a DataLoader causes it to be handled by the “main process” from the pytorch doc: " 0 means that the data will be loaded in the main ...

18 окт. 2018 г. · Bug. In windows, DataLoader with num_workers > 0 is extremely slow (pytorch=0.41). To Reproduce. Step 1: create two loader, one with ...

12 авг. 2021 г. · When num_workers is greater than 0, PyTorch uses multiple processes for data loading. Jupyter notebooks have known issues with multiprocessing. PyTorch DataLoader hangs when num_workers > 0 with ... Simplest Dataloader fails when num_workers>0 - Stack Overflow Другие результаты с сайта stackoverflow.com

4 янв. 2024 г. · If Windows, I'm afraid the PyTorch dataloader can only use num_workers=0. That's not strictly true and should still work, if e.g. the needed if- ...

24 июн. 2023 г. · When num_workers is set to a value greater than zero, the DataLoader spawns multiple worker processes to load data in parallel. Each worker ...

8 июн. 2024 г. · I've played around with that a bit, I get a huge increase in performance when I set num_workers to 0, reduces the Loading time to about 0.013!

1 июн. 2021 г. · I can run FastAI locally just fine with num_workers = 0 on Windows, but that is painfully slow. The GPU load keeps fluctuating and the training times are 3~4x ...

24 мая 2023 г. · If I set my num_workers > 0 I get a crash in (or before?) the initial sanity check. The task manager shows that the disk usage is high and the RAM gets nearly ...