def get_num_batches(self, instances: Iterable[Instance]) -> int:
        """
        Returns the number of batches that ``dataset`` will be split into; if you want to track
        progress through the batch with the generator produced by ``__call__``, this could be
        useful.
        """
        if is_lazy(instances) and self._instances_per_epoch is None:
            # Unable to compute num batches, so just return 1.
            return 1
        elif self._instances_per_epoch is not None:
            return math.ceil(self._instances_per_epoch / self._batch_size)
        else:
            # Not lazy, so can compute the list length.
            return math.ceil(len(ensure_list(instances)) / self._batch_size)
def get_num_batches ( self , instances : Iterable [ Instance ] ) -> int : if is_lazy ( instances ) and self . _instances_per_epoch is None : return 1 elif self . _instances_per_epoch is not None : return math . ceil ( self . _instances_per_epoch / self . _batch_size ) else : return math . ceil ( len ( ensure_list ( instances ) ) / self . _batch_size )
Returns the number of batches that ``dataset`` will be split into; if you want to track
        progress through the batch with the generator produced by ``__call__``, this could be
        useful.