MockingBird 合成器训练停止后,如何用于其他的训练

a7qyws3x  于 2022-10-21  发布在  其他
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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.

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