Yes, seems to be the case as seen here:
drop = nn.Dropout2d()
x = torch.ones(2, 2, 2, 2)
out = drop(x)
print(out)
> tensor([[[[0., 0.],
          [0., 0.]],

         [[0., 0.],
          [0., 0.]]],


        [[[2., 2.],
          [2., 2.]],

         [[0., 0.],
          [0., 0.]]]])