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@ -980,7 +980,8 @@ def run(rank, world_size, args):
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old_name = '.'.join(layer_name_splited)
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try: p.data = pre_trained_model[old_name]
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except: print(f'pre-trained model has no parameter named {n}.')
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print('.'.join(layer_name_splited))
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else:
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print(f'skipping param load {n}')
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exit()
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