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I only used the co_dino_5scale_swin_large_3x_coco.py config which is smaller, and has resized my pictures to 512*512, with 5 RTX4090 GPUs to train. However the memory was still not enough. Is that normal?
Do the config files in this project support mixed precision training? I have added this line into the config trying to reduce memory consumed, but it seemed no use: fp16 = dict(loss_scale=512.).
The text was updated successfully, but these errors were encountered:
I only used the co_dino_5scale_swin_large_3x_coco.py config which is smaller, and has resized my pictures to 512*512, with 5 RTX4090 GPUs to train. However the memory was still not enough. Is that normal?
Do the config files in this project support mixed precision training? I have added this line into the config trying to reduce memory consumed, but it seemed no use: fp16 = dict(loss_scale=512.).
The text was updated successfully, but these errors were encountered: