mirror of
https://github.com/brycedrennan/imaginAIry
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25 lines
666 B
Python
25 lines
666 B
Python
"""Classes for loading model weights"""
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import torch
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from imaginairy.utils.downloads import get_cached_url_path
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class BaseModel(torch.nn.Module):
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def load(self, path):
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"""
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Load model from file.
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Args:
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path (str): file path
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"""
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ckpt_path = get_cached_url_path(path, category="weights")
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parameters = torch.load(ckpt_path, map_location=torch.device("cpu"))
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parameters = {
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k: v for k, v in parameters.items() if "relative_position_index" not in k
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}
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if "optimizer" in parameters:
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parameters = parameters["model"]
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self.load_state_dict(parameters)
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