Comments (3)
If you use a single GPU, you should remove .module.
due to the DDP wrapper.
Also, we are currently checking the ADE20K 100-50 setting.
from eclipse.
Hi, I also got this error. Do you use a single GPU? I think when a single GPU is used, the DDP training process won't be launched, so I simply change the corresponding code to:
if hasattr(self.model, "module"):
self.model.module.copy_prompt_embed_weights()
self.model.module.copy_mask_embed_weights()
self.model.module.copy_no_obj_weights()
self.model.module.copy_prompt_trans_decoder_weights()
else:
self.model.copy_prompt_embed_weights()
self.model.copy_mask_embed_weights()
self.model.copy_no_obj_weights()
self.model.copy_prompt_trans_decoder_weights()
However, I got another error: RuntimeError: Global alloc not supported yet
, one solution is replacing batch_dice_loss_jit
with batch_dice_loss
but I'm not sure whether it is correct.
from eclipse.
Yes! I used single GPU and similar code like you written. It remain 3.5 hr to finish the ADE20k 100-50 setting.
However, the author have produce error in this setting, and I cannot check if those edited harm the performance even finished above setting.
Maybe I would tried another setting later.
from eclipse.
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from eclipse.