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# Copyright (C) 2022-present Naver Corporation. All rights reserved. | |
# Licensed under CC BY-NC-SA 4.0 (non-commercial use only). | |
# -------------------------------------------------------- | |
# Masking utils | |
# -------------------------------------------------------- | |
import torch | |
import torch.nn as nn | |
class RandomMask(nn.Module): | |
""" | |
random masking | |
""" | |
def __init__(self, num_patches, mask_ratio): | |
super().__init__() | |
self.num_patches = num_patches | |
self.num_mask = int(mask_ratio * self.num_patches) | |
def __call__(self, x): | |
noise = torch.rand(x.size(0), self.num_patches, device=x.device) | |
argsort = torch.argsort(noise, dim=1) | |
return argsort < self.num_mask | |