( self, batch: Dict[str, torch.tensor] )

( self, batch: Dict[str, torch.tensor] )

( self, batch: Dict[str, torch.tensor] )

( self, batch: Dict[str, torch.tensor] )

( self, sample: Dict[str, np.ndarray] )

( self, sample )

( tarfile_paths, frac_val_per_dataset: float=0.05, n_val_subjects_per_dataset: int=None, n_tes

(self, is_decoding_mode: bool=False)

(self, is_decoding_mode: bool=False)

( self, is_decoding_mode: bool=True, num_decoding_classes: int=None )

( self, is_decoding_mode: bool=False, num_decoding_classes: int=None )

( self, is_decoding_mode: bool=False, num_decoding_classes: int=None )

()

()

()

()

()

()

()

()

()