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Adding capability to start a training from model checkpoint instead of doing it from scratch #297

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Adding capability to start a training from model checkpoint instead of doing it from scratch #297

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bcf9c27
Update train.py
karolzak Feb 1, 2024
630948e
Update places_example.yaml
karolzak Feb 1, 2024
448ea11
Update docker.yaml
karolzak Feb 1, 2024
167c316
Update celeba_example.yaml
karolzak Feb 1, 2024
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12 changes: 10 additions & 2 deletions bin/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
from pytorch_lightning.loggers import TensorBoardLogger
from pytorch_lightning.plugins import DDPPlugin

from saicinpainting.training.trainers import make_training_model
from saicinpainting.training.trainers import make_training_model, load_checkpoint
from saicinpainting.utils import register_debug_signal_handlers, handle_ddp_subprocess, handle_ddp_parent_process, \
handle_deterministic_config

Expand Down Expand Up @@ -48,7 +48,15 @@ def main(config: OmegaConf):
metrics_logger = TensorBoardLogger(config.location.tb_dir, name=os.path.basename(os.getcwd()))
metrics_logger.log_hyperparams(config)

training_model = make_training_model(config)
if "load_checkpoint_path" in config.location:
print("Loading model checkpoint from path:", config.location.load_checkpoint_path)
training_model = load_checkpoint(
train_config=config,
path=config.location.load_checkpoint_path,
strict=False
)
else:
training_model = make_training_model(config)

trainer_kwargs = OmegaConf.to_container(config.trainer.kwargs, resolve=True)
if need_set_deterministic:
Expand Down
2 changes: 2 additions & 0 deletions configs/training/location/celeba_example.yaml
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Expand Up @@ -3,3 +3,5 @@ data_root_dir: /home/user/lama/celeba-hq-dataset/
out_root_dir: /home/user/lama/experiments/
tb_dir: /home/user/lama/tb_logs/
pretrained_models: /home/user/lama/
# path to model checkpoint that will be loaded before start of training
# load_checkpoint_path: /home/user/lama/big-lama/models/best.ckpt
2 changes: 2 additions & 0 deletions configs/training/location/docker.yaml
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Expand Up @@ -3,3 +3,5 @@ data_root_dir: /data/data
out_root_dir: /data/experiments
tb_dir: /data/tb_logs
pretrained_models: /some_path
# path to model checkpoint that will be loaded before start of training
# load_checkpoint_path: /home/user/lama/big-lama/models/best.ckpt
2 changes: 2 additions & 0 deletions configs/training/location/places_example.yaml
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Expand Up @@ -3,3 +3,5 @@ data_root_dir: /home/user/inpainting-lama/places_standard_dataset/
out_root_dir: /home/user/inpainting-lama/experiments
tb_dir: /home/user/inpainting-lama/tb_logs
pretrained_models: /home/user/inpainting-lama/
# path to model checkpoint that will be loaded before start of training
# load_checkpoint_path: /home/user/lama/big-lama/models/best.ckpt