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I found this part quite confusing in train_util.py
if last_batch or not self.use_ddp: losses = compute_losses() else: with self.ddp_model.no_sync(): losses = compute_losses()
Is this part supposed to be like this? When the model is using ddp, why do we need to stop sync across all gpus?
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I found this part quite confusing in train_util.py
Is this part supposed to be like this? When the model is using ddp, why do we need to stop sync across all gpus?
The text was updated successfully, but these errors were encountered: