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- import os
- import paddle
- __all__ = ['load_dygraph_pretrain']
- def load_dygraph_pretrain(model, logger, path=None, load_static_weights=False):
- if not os.path.exists(path + '.pdparams'):
- raise ValueError("Model pretrain path {} does not "
- "exists.".format(path))
- param_state_dict = paddle.load(path + '.pdparams')
- model.set_state_dict(param_state_dict)
- logger.info("load pretrained model from {}".format(path))
- return
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