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Following the example on the documentation (https://timeseriesai.github.io/tsai/models.MultiInputNet.html), I tried generating a MultiInputNet model, feeding it with a mixed dls:

    tf = build_ts_model(TSTPlus, dls = dls_ts, ks = ks, n_layers = n_layers, d_model = d_model)
    tab = build_tabular_model(TabModel, dls = dls_cat)
    MultiModalNet = MultiInputNet(tf, tab)
    mixed_dls = get_mixed_dls(dls_ts, dls_cat)
    learn = Learner(mixed_dls, MultiModalNet, opt_func = SGD, loss_func = mse,
                       metrics=[mae, mse], cbs=cbs)
    lr = learn.lr_find()[0]    
    

The building works just fine, but when learning, it generates the following error:

  File "C:\Users\user\AppData\Local\Temp/ipykernel_27804/3899531803.py", line 1, in <module>
    lr = learn.lr_find()[0]

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\callback\schedule.py", line 285, in lr_find
    with self.no_logging(): self.fit(n_epoch, cbs=cb)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 221, in fit
    self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 163, in _with_events
    try: self(f'before_{event_type}');  f()

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 212, in _do_fit
    self._with_events(self._do_epoch, 'epoch', CancelEpochException)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 163, in _with_events
    try: self(f'before_{event_type}');  f()

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 206, in _do_epoch
    self._do_epoch_train()

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 198, in _do_epoch_train
    self._with_events(self.all_batches, 'train', CancelTrainException)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 163, in _with_events
    try: self(f'before_{event_type}');  f()

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 169, in all_batches
    for o in enumerate(self.dl): self.one_batch(*o)

  File "C:\Users\user\Anaconda3\lib\site-packages\tsai\learner.py", line 37, in one_batch
    self._with_events(self._do_one_batch, 'batch', CancelBatchException)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 163, in _with_events
    try: self(f'before_{event_type}');  f()

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\learner.py", line 175, in _do_one_batch
    self.loss_grad = self.loss_func(self.pred, *self.yb)

  File "C:\Users\user\Anaconda3\lib\site-packages\fastai\losses.py", line 32, in __call__
    if self.floatify and targ.dtype!=torch.float16: targ = targ.float()

AttributeError: 'tuple' object has no attribute 'dtype'