源码问题-图片编码

[KyleWang-Hunter]

在图片预处理中，是先拼接的全局特征，再拼接的局部特征，代码如下：
tokenized_image = ([image_token_id] * num_queries_base + [image_token_id]) * num_queries_base
tokenized_image += [image_token_id]
if width_crop_num > 1 or height_crop_num > 1:
tokenized_image += ([image_token_id] * (num_queries * width_crop_num) + [image_token_id]) * (
num_queries * height_crop_num)

然后在deepencoder阶段，则是先拼接的局部特征，再拼接的全局特征，代码如下：
global_local_features = torch.cat([local_features, global_features, self.view_seperator[None, :]], dim=0)

请问我理解的是对的吗？为什么是这样？