38 lines
887 B
Python
38 lines
887 B
Python
"""Training and evaluation"""
|
|
|
|
import run_lib
|
|
from absl import app, flags
|
|
from ml_collections.config_flags import config_flags
|
|
import logging
|
|
|
|
|
|
FLAGS = flags.FLAGS
|
|
|
|
|
|
config_flags.DEFINE_config_file(
|
|
'config', None, 'Training configuration.', lock_config=True
|
|
)
|
|
config_flags.DEFINE_config_file(
|
|
'classifier_config_nf', None, 'Training configuration.', lock_config=True
|
|
)
|
|
flags.DEFINE_enum('mode', None, ['train', 'eval'],
|
|
'Running mode: train or eval')
|
|
|
|
|
|
def main(argv):
|
|
## Set random seed
|
|
run_lib.set_random_seed(FLAGS.config)
|
|
|
|
if FLAGS.mode == 'train':
|
|
logger = logging.getLogger()
|
|
logger.setLevel('INFO')
|
|
run_lib.train(FLAGS.config)
|
|
elif FLAGS.mode == 'eval':
|
|
run_lib.evaluate(FLAGS.config)
|
|
else:
|
|
raise ValueError(f"Mode {FLAGS.mode} not recognized.")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
app.run(main)
|