导入他人模型出错

错误:
Traceback (most recent call last):
File "C:\Users\Administrator\Desktop\MockingBird-0.0.1\synthesizer_train.py", line 37, in
train(**vars(args))
File "C:\Users\Administrator\Desktop\MockingBird-0.0.1\synthesizer\train.py", line 114, in train
model.load(weights_fpath, optimizer)
File "C:\Users\Administrator\Desktop\MockingBird-0.0.1\synthesizer\models\tacotron.py", line 526, in load
optimizer.load_state_dict(checkpoint["optimizer_state"])
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\optimizer.py", line 171, in load_state_dict
raise ValueError("loaded state dict contains a parameter group "
ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group

导入他人模型都不行,只有自己的可以用

Reproduce the failure with an external checkpoint, then read synthesizer_train.py, synthesizer/train.py, and synthesizer/models/tacotron.py around train(), model.load(), and optimizer.load_state_dict(). Compare the checkpoint's optimizer state with the current optimizer configuration. Done means a model from another user loads without the parameter-group ValueError while existing self-trained models continue to work.

Written by the indexing model from the issue text.