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from typing import Iterator, Optional
import torch
from torch.utils.data import Dataset, IterableDataset
class ValidationWrapper(Dataset):
"""Wraps a dataset so that PyTorch Lightning's validation step can be turned into a
visualization step.
"""
dataset: Dataset
dataset_iterator: Optional[Iterator]
length: int
def __init__(self, dataset: Dataset, length: int) -> None:
super().__init__()
self.dataset = dataset
self.length = length
self.dataset_iterator = None
def __len__(self):
return self.length
def __getitem__(self, index: tuple):
if isinstance(self.dataset, IterableDataset):
if self.dataset_iterator is None:
self.dataset_iterator = iter(self.dataset)
return next(self.dataset_iterator)
random_index = torch.randint(0, len(self.dataset), tuple())
random_context_num = torch.randint(2, self.dataset.view_sampler.num_context_views + 1, tuple())
# breakpoint()
return self.dataset[random_index.item(), random_context_num.item()]
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