train_LeTO.py

"""
Usage:
Training:
python train.py --config-name=train_diffusion_lowdim_workspace
"""

import sys
# use line-buffering for both stdout and stderr
sys.stdout = open(sys.stdout.fileno(), mode='w', buffering=1)
sys.stderr = open(sys.stderr.fileno(), mode='w', buffering=1)

import hydra
from omegaconf import OmegaConf
import pathlib
from LeTO.workspace.train_LeTO_workspace import TrainLetoWorksapce

# allows arbitrary python code execution in configs using the ${eval:''} resolver
OmegaConf.register_new_resolver("eval", eval, replace=True)

@hydra.main(
    version_base=None,
    config_path=str(pathlib.Path(__file__).parent.joinpath(
        'LeTO','config'))
)
def main(cfg: OmegaConf):
    # resolve immediately so all the ${now:} resolvers
    # will use the same time.
    OmegaConf.resolve(cfg)
    workspace = TrainLetoWorksapce(cfg)
    workspace.run()

if __name__ == "__main__":
    main()