Resume training from checkpoint with new data

[mitchpudil]

I'm wanting to continue the training process for a model using new data.

I understand that you can continue training a Pytorch Lightning model e.g.

pl.Trainer(max_epochs=10, resume_from_checkpoint='./checkpoints/blahblah.ckpt')

for example, if you last checkpoint is saved at epoch 5. But is there a way to continue training by adding different data?

[rohitgr7]

you can set up new dataloaders with the new data during the resume.