Update hubconf.py
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@@ -27,12 +27,12 @@ def create(name, pretrained, channels, classes):
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Returns:
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pytorch model
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"""
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config = os.path.join(os.path.dirname(__file__), 'models', '%s.yaml' % name)
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config = os.path.join(os.path.dirname(__file__), 'models', '%s.yaml' % name) # model.yaml path
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model = Model(config, channels, classes)
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if pretrained:
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ckpt = '%s.pt' % name # checkpoint filename
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google_utils.attempt_download(ckpt) # download if not found locally
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state_dict = torch.load(ckpt)['model'].state_dict()
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state_dict = torch.load(ckpt, map_location=torch.device('cpu'))['model'].state_dict()
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state_dict = {k: v for k, v in state_dict.items() if model.state_dict()[k].numel() == v.numel()} # filter
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model.load_state_dict(state_dict, strict=False) # load
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return model
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