def train_dataloader()

in grok/training.py [0:0]


    def train_dataloader(self) -> ArithmeticIterator:  # type: ignore
        """
        Used by pytorch_lighting

        :returns: an iterator for self.train_dataset
        """
        device = self.transformer.embedding.weight.device
        iterator = ArithmeticIterator(
            self.train_dataset,
            device,
            batchsize_hint=self.hparams.batchsize,  # type: ignore
        )
        self.train_batchsize = iterator.batchsize
        self.batches_per_epoch = len(iterator)

        return iterator