将brightmart中预训练的TensorFlow模型转换为Pytorch模型报如下错误，'Embedding' object has no attribute 'shape'

[wyqnumber]

INFO:model.modeling_albert_bright:Initialize PyTorch weight ['bert', 'embeddings', 'position_embeddings']
INFO:model.modeling_albert_bright:Skipping bert/embeddings/position_embeddings/lamb_m
Traceback (most recent call last):
File "convert_albert_tf_checkpoint_to_pytorch.py", line 59, in
args.pytorch_dump_path)
File "convert_albert_tf_checkpoint_to_pytorch.py", line 34, in convert_tf_checkpoint_to_pytorch
load_tf_weights_in_albert(model, config, tf_checkpoint_path)
File "/data/albert_pytorch-master/model/modeling_albert_bright.py", line 88, in load_tf_weights_in_albert
assert pointer.shape == array.shape
File "/home/lib/python3.6/site-packages/torch/nn/modules/module.py", line 535, in getattr
type(self).name, name))
AttributeError: 'Embedding' object has no attribute 'shape'

谢谢