合成器训练停止后，如何用于其他的训练

[sixtolink]

之前都是使用作者或者别人打包好的训练集继续训练，但我用自己训练的数据集训练后，继续训练会出现抱错。请问是什么原因。报错如下： Traceback (most recent call last): File "D:\mockingbird2\MockingBird-main\synthesizer_train.py", line 37, in train(vars(args)) File "D:\mockingbird2\MockingBird-main\synthesizer\train.py", line 215, in train optimizer.step() File "C:\Program Files\Python39\lib\site-packages\torch\optim\optimizer.py", line 109, in wrapper return func(*args, *kwargs) File "C:\Program Files\Python39\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(args, kwargs) File "C:\Program Files\Python39\lib\site-packages\torch\optim\adam.py", line 157, in step adam(params_with_grad, File "C:\Program Files\Python39\lib\site-packages\torch\optim\adam.py", line 213, in adam func(params, File "C:\Program Files\Python39\lib\site-packages\torch\optim\adam.py", line 255, in _single_tensor_adam assert not step_t.is_cuda, "If capturable=False, state_steps should not be CUDA tensors." AssertionError: If capturable=False, state_steps should not be CUDA tensors.

[babysor]

pytorch版本不匹配导致的