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import torch | |
import torch.nn as nn | |
class ViTPatchMaskGenerator(nn.Module): | |
def __init__(self, patch_size) -> None: | |
super(ViTPatchMaskGenerator, self).__init__() | |
self.patch_size = patch_size | |
self.pool = nn.MaxPool2d(kernel_size=patch_size, stride=patch_size) | |
def forward(self, pixel_masks): | |
patch_mask = self.pool(pixel_masks) | |
patch_mask = patch_mask.bool().flatten(1) | |
cls_token_mask = patch_mask.new_ones([patch_mask.shape[0], 1]).bool() | |
patch_mask = torch.cat([cls_token_mask, patch_mask], dim=-1) | |
return patch_mask | |