def METHOD_NAME(
    cls, bs=8, num_feats=70, max_sentence_len=25, img_feature_dim=2054
):
    cls.input_ids = torch.ones((bs, max_sentence_len), dtype=torch.long)
    cls.img_feats = torch.rand((bs, num_feats, img_feature_dim))
    cls.attention_mask = torch.ones(
        (bs, max_sentence_len + num_feats), dtype=torch.long
    )
    cls.token_type_ids = torch.zeros_like(cls.input_ids)
    cls.labels = torch.ones((bs, 1)).long()
    cls.lm_label_ids = -torch.ones_like(cls.input_ids).long()
    cls.contrastive_labels = torch.zeros((bs, 1)).long()