 How to resume training
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What is your question?
How to resume training
What have you tried?
The following:
trainer = pl.Trainer(gpus=1, default_root_dir=save_dir)
saves the checkpoints but does not resume from the last checkpoint (it starts a new version)
The following code starts the training from scratch (but I read that it should resume):
logger = TestTubeLogger(save_dir=save_dir, name="default", version=0)
trainer = pl.Trainer(gpus=1, default_root_dir=save_dir, logger = logger)


it always starts over and it also save always in a different checkpoint if the checkpoint exists e.g. epoch=0.ckpt, and after epoch=0-v0.ckpt (instead of overwriting)
What's your environment?

OS: Linux
Packaging pip
Version: pytorch_lightning-1.0.8