efficientnet

请问SubsetRandomSampler函数为什么会出现这种情况呢？我也看到别人在这样用，但是 我的返回值就是不对劲 print也很奇怪

SubsetRandomSampler代码如下，直接打印就是一个类（没毛病的），使用按照迭代器方法。

class SubsetRandomSampler(Sampler[int]):
    r"""Samples elements randomly from a given list of indices, without replacement.

    Args:
        indices (sequence): a sequence of indices
        generator (Generator): Generator used in sampling.
    """
    indices: Sequence[int]

    def __init__(self, indices: Sequence[int], generator=None) -> None:
        self.indices = indices
        self.generator = generator

    def __iter__(self) -> Iterator[int]:
        return (self.indices[i] for i in torch.randperm(len(self.indices), generator=self.generator))

    def __len__(self) -> int:
        return len(self.indices)