kopia lustrzana https://github.com/lzzcd001/MeshDiffusion
29 wiersze
735 B
Python
29 wiersze
735 B
Python
"""Training and evaluation"""
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from absl import app
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from absl import flags
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from ml_collections.config_flags import config_flags
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import lib.diffusion.trainer as trainer
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import lib.diffusion.evaler as evaler
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FLAGS = flags.FLAGS
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config_flags.DEFINE_config_file(
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"config", None, "diffusion configs", lock_config=False)
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flags.DEFINE_enum("mode", None, ["train", "uncond_gen", "cond_gen"], "Running mode")
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flags.mark_flags_as_required(["config", "mode"])
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def main(argv):
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if FLAGS.mode == 'train':
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trainer.train(FLAGS.config)
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elif FLAGS.mode == 'uncond_gen':
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evaler.uncond_gen(FLAGS.config)
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elif FLAGS.mode == 'cond_gen':
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evaler.cond_gen(FLAGS.config)
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if __name__ == "__main__":
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app.run(main)
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