Dataloaders with val_ first.

dataloaders.py

class FilteredBase:
  def dataloaders(self, bs=64, shuffle=True, n=None, path='.', dl_type=None, dl_kwargs=None,
                    device=None,drop_last=None, **kwargs):
        if device is None: device=default_device()
        if dl_kwargs is None: dl_kwargs = [{}] * self.n_subsets
        if dl_type is None: dl_type = self._dl_type
        if drop_last is None: drop_last = shuffle
        val_kwargs={k[4:]:v for k,v in kwargs.items() if k.startswith('val_')}
        def_kwargs = {'bs':bs,'shuffle':shuffle,'drop_last':drop_last,'n':n,'device':device}
        dl = dl_type(self.subset(0), **merge(kwargs,def_kwargs, dl_kwargs[0]))
        def_kwargs = {'bs':bs,'n':None}
        dls = [dl] + [dl.new(self.subset(i), **merge(kwargs,def_kwargs,val_kwargs,dl_kwargs[i])) for i in range(1, self.n_subsets)]
        return self._dbunch_type(*dls, path=path, device=device)