Traceback (most recent call last):
File "E:/PyCharm Community Edition 2023.2.4/plugins/python-ce/helpers/pydev/pydevd.py", line 1500, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "E:\PyCharm Community Edition 2023.2.4\plugins\python-ce\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "D:\ Time-Series-Library-main\Times_Series_Lib\new_main.py", line 36, in
main() #模型训练和测试
File "D:\ Time-Series-Library-main\Times_Series_Lib\Model.py", line 164, in main
exp.train(setting)
File "D:\ Time-Series-Library-main\Times_Series_Lib\exp\exp_long_term_forecasting.py", line 133, in train
outputs = self.model(batch_x, batch_x_mark, dec_inp, batch_y_mark)
File "E:\anaconda\envs\pytorch-38\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "E:\anaconda\envs\pytorch-38\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(args, **kwargs)
File "D:\ Time-Series-Library-main\Times_Series_Lib\models\TimeMixer.py", line 384, in forward
dec_out_list = self.forecast(x_enc, x_mark_enc, x_dec, x_mark_dec)
File "D:\ Time-Series-Library-main\Times_Series_Lib\models\TimeMixer.py", line 324, in forecast
B, T, N = x.size()
ValueError: not enough values to unpack (expected 3, got 2)
Traceback (most recent call last): File "E:/PyCharm Community Edition 2023.2.4/plugins/python-ce/helpers/pydev/pydevd.py", line 1500, in _exec pydev_imports.execfile(file, globals, locals) # execute the script File "E:\PyCharm Community Edition 2023.2.4\plugins\python-ce\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "D:\ Time-Series-Library-main\Times_Series_Lib\new_main.py", line 36, in
main() #模型训练和测试
File "D:\ Time-Series-Library-main\Times_Series_Lib\Model.py", line 164, in main
exp.train(setting)
File "D:\ Time-Series-Library-main\Times_Series_Lib\exp\exp_long_term_forecasting.py", line 133, in train
outputs = self.model(batch_x, batch_x_mark, dec_inp, batch_y_mark)
File "E:\anaconda\envs\pytorch-38\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "E:\anaconda\envs\pytorch-38\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(args, **kwargs)
File "D:\ Time-Series-Library-main\Times_Series_Lib\models\TimeMixer.py", line 384, in forward
dec_out_list = self.forecast(x_enc, x_mark_enc, x_dec, x_mark_dec)
File "D:\ Time-Series-Library-main\Times_Series_Lib\models\TimeMixer.py", line 324, in forecast
B, T, N = x.size()
ValueError: not enough values to unpack (expected 3, got 2)