Unlabeled 100%

print("Unlabeled 100%")
dsid = "transformer"
learn = ts_learner(udls100, TSTPlus, cbs=[MVP(target_dir='./data/MVP', fname=f'{dsid}_200')])
learn.fit_one_cycle(40,1e-2)
learn.plot_metrics()
learn.MVP.show_preds(sharey=True)
learn.feature_importance()

Traceback (most recent call last):
File "H:\20221125\tasi\tsbert.py", line 106, in
learn.fit_one_cycle(40,1e-2)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\callback\schedule.py", line 119, in fit_one_cycle
self.fit(n_epoch, cbs=ParamScheduler(scheds)+L(cbs), reset_opt=reset_opt, wd=wd, start_epoch=start_epoch)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\learner.py", line 256, in fit
self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\learner.py", line 193, in with_events
try: self(f'before{event_type}'); f()
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\learner.py", line 171, in call
def call(self, event_name): L(event_name).map(self._call_one)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastcore\foundation.py", line 156, in map
def map(self, f, *args, gen=False, **kwargs): return self._new(map_ex(self, f, *args, gen=gen, **kwargs))
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastcore\basics.py", line 840, in map_ex
return list(res)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastcore\basics.py", line 825, in call
return self.func(*fargs, **kwargs)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\learner.py", line 175, in _call_one
for cb in self.cbs.sorted('order'): cb(event_name)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\callback\core.py", line 62, in call
except Exception as e: raise modify_exception(e, f'Exception occured in {self.__class__.__name__} when calling event {event_name}:\n\t{e.args[0]}', replace=True)
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\fastai\callback\core.py", line 60, in call
try: res = getcallable(self, event_name)()
File "F:\ProgramData\Anaconda3\envs\pytorchjy\lib\site-packages\tsai\callback\MVP.py", line 183, in before_fit
assert xb.shape == self.learn.model(xb).shape, 'the model cannot reproduce the input shape'
AssertionError: Exception occured in MVP when calling event before_fit:
the model cannot reproduce the input shape

HELP!!!!!