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Upload utils.py
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utils.py
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def load_model_weights(model, weights, multi_gpus, train=True):
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"""
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Load the model weights from the given checkpoint file
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"""
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# If model was originally trained on a single GPU but needs to be loaded onto multiple ones,
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# it removes the "module" prefix from the weight keys
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if list(weights.keys())[0].find('module') == -1:
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pretrained_with_multi_gpu = False
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else:
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pretrained_with_multi_gpu = True
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if (multi_gpus is False) or (train is False):
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if pretrained_with_multi_gpu:
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state_dict = {
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key[7:]: value
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for key, value in weights.items()
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}
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else:
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state_dict = weights
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else:
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state_dict = weights
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# load the model from the state_dict
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model.load_state_dict(state_dict)
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return model
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# Class to work with if mixed precision is failing
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class dummy_context_mgr():
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def __enter__(self):
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return None
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def __exit__(self, exc_type, exc_value, traceback):
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return False
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# Function to read CSS from file
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def read_css_from_file(filename):
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with open(filename, 'r') as file:
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return file.read()
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