fix: handles when state_dict does not exist
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@ -122,7 +122,11 @@ def load_model_weights(model, checkpoint_file, sd_model_hash):
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pl_sd = torch.load(checkpoint_file, map_location="cpu")
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if "global_step" in pl_sd:
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print(f"Global Step: {pl_sd['global_step']}")
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sd = pl_sd["state_dict"]
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if "state_dict" in pl_sd:
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sd = pl_sd["state_dict"]
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else:
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sd = pl_sd
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model.load_state_dict(sd, strict=False)
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