You can do achieve this way as well
setensor = torch.randint(0, 10, size = (5, 20))
selist = [1, 2, 4, 6]
print(setensor)
semasks = torch.any(torch.stack([torch.eq(setensor, aelem).logical_or_(torch.eq(setensor, aelem)) for aelem in selist], dim=0), dim = 0)
print(semasks)