Understanding variables in Lesson 12 DCGAN_G

Part 2 & Alumni (2018)
1 
class DCGAN_G(nn.Module):
    def __init__(self, isize, nz, nc, ngf, n_extra_layers=0):
        super().__init__()
        assert isize % 16 == 0, "isize has to be a multiple of 16"

        cngf, tisize = ngf//2, 4
        while tisize!=isize: cngf*=2; tisize*=2
        layers = [DeconvBlock(nz, cngf, 4, 1, 0)]

        csize, cndf = 4, cngf
        while csize < isize//2:
            layers.append(DeconvBlock(cngf, cngf//2, 4, 2, 1))
            cngf //= 2; csize *= 2

        layers += [DeconvBlock(cngf, cngf, 3, 1, 1) for t in range(n_extra_layers)]
        layers.append(nn.ConvTranspose2d(cngf, nc, 4, 2, 1, bias=False))
        self.features = nn.Sequential(*layers)

    def forward(self, input): return F.tanh(self.features(input))

trying to understand what these two variables are:
nz
ngf

2

Nvm found it through the original implementation of the paper

nz = 100, – # of dim for Z
ngf = 64, – # of gen filters in first conv layer