在 训练 SAEHD train SAEHD 这一步时
无法使用按 S键 保存,或者是自动保存!
请求帮助!
错误代码如下:
I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py:3373: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py:170: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
Error: 'numpy.float64' object is not iterable
Traceback (most recent call last):
File "I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\DFL\mainscripts\Trainer.py", line 143, in trainerThread
for loss_value in mean_loss:
TypeError: 'numpy.float64' object is not iterable
Done.
无法使用按 S键 保存,或者是自动保存!
请求帮助!
错误代码如下:
I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py:3373: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py:170: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
Error: 'numpy.float64' object is not iterable
Traceback (most recent call last):
File "I:\AI deepfacelab 3000\DFL_RTX3000_series_1120\_internal\DFL\mainscripts\Trainer.py", line 143, in trainerThread
for loss_value in mean_loss:
TypeError: 'numpy.float64' object is not iterable
Done.