2022-07-22 11:50:39 +02:00
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import os
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import torch
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import fire
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def printit(p):
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print(f"printin' in path: {p}")
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size_initial = os.path.getsize(p)
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nsd = dict()
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sd = torch.load(p, map_location="cpu")
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if "global_step" in sd:
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print(f"This is global step {sd['global_step']}.")
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2022-08-02 22:32:22 +02:00
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if "model_ema.num_updates" in sd["state_dict"]:
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print(f"And we got {sd['state_dict']['model_ema.num_updates']} EMA updates.")
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2022-07-22 11:50:39 +02:00
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if __name__ == "__main__":
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fire.Fire(printit)
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