data.py 文件源码

def get_loader_single(data_name, split, root, json, vocab, transform,
                      batch_size=100, shuffle=True,
                      num_workers=2, ids=None, collate_fn=collate_fn):
    """Returns torch.utils.data.DataLoader for custom coco dataset."""
    if 'coco' in data_name:
        # COCO custom dataset
        dataset = CocoDataset(root=root,
                              json=json,
                              vocab=vocab,
                              transform=transform, ids=ids)
    elif 'f8k' in data_name or 'f30k' in data_name:
        dataset = FlickrDataset(root=root,
                                split=split,
                                json=json,
                                vocab=vocab,
                                transform=transform)

    # Data loader
    data_loader = torch.utils.data.DataLoader(dataset=dataset,
                                              batch_size=batch_size,
                                              shuffle=shuffle,
                                              pin_memory=True,
                                              num_workers=num_workers,
                                              collate_fn=collate_fn)
    return data_loader