AlphaFold3 data_modules 模块的 OpenFoldDataLoader 类继承自 PyTorch 的 torch.utils.data.DataLoader。该类主要对原始 DataLoader 做了批数据增强与控制循环迭代次数（recycling）相关的处理。

源代码：

class OpenFoldDataLoader(torch.utils.data.DataLoader):
    def __init__(self, *args, config, stage="train", generator=None, **kwargs):
        super().__init__(*args, **kwargs)
        self.config = config
        self.stage = stage
        self.generator = generator
        self._prep_batch_properties_probs()

    def _prep_batch_properties_probs(self):
        keyed_probs = []
        stage_cfg = self.config[self.stage]

        max_iters = self.config.common.max_recycling_iters

        if stage_cfg.uniform_recycling:
            recycling_probs = [
                1. / (max_iters + 1) for _ in range(max_iters + 1)
            ]
        else:
            recycling_probs = [
                0. for _ in range(max_iters + 1)
            ]
            recycling_probs[-1] = 1.

        keyed_probs.append(
            ("no_recycling_iters", recycling_probs)
        )

        keys, probs = zip(*keyed_probs)
        max_len = max([len(p) for p in probs])
        padding = [[0.] * (max_len - len(p)) for p in probs]

        self.prop_keys = keys
        self.prop_probs_tensor = torch.tensor(
            [p + pad for p, pad in zip(probs, padding)],
            dtype=torch.float32,
        )

    def _add_batch_properties(self, batch):
        # TODO: gt_features might change
        gt_features = batch.pop('gt_features', None)
        samples = torch.multinomial(
            self.prop_probs_tensor,
            num_samples=1,  # 1 per row
            replacement=True,
            generator=self.generator