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a0fd507 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import os
import random
import signal
import numpy as np
import torch
import torch.distributed as dist
from tqdm import tqdm
import random
def generate_mask(bz, ch_num, patch_num, mask_ratio, device):
mask = torch.zeros((bz, ch_num, patch_num), dtype=torch.long, device=device)
mask = mask.bernoulli_(mask_ratio)
return mask
def to_tensor(array):
return torch.from_numpy(array).float()
if __name__ == '__main__':
a = generate_mask(192, 32, 15, mask_ratio=0.5, device=None)
print(a) |