Doubt

[linzhi123]

    self.conv = nn.Sequential(
        # Input: (channel_num) x 256 x 256
        nn.Conv2d(channel_num, filter_num, 4, 2, 1, bias=False),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num) x 128 x 128
        nn.Conv2d(filter_num, filter_num * 2, 4, 2, 1, bias=False),
        nn.BatchNorm2d(filter_num * 2),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num * 2) x 64 x 64
        nn.Conv2d(filter_num * 2, filter_num * 2, 8, 4, 1, bias=False),
        nn.BatchNorm2d(filter_num * 2),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num * 2) x 16 x 16
        nn.Conv2d(filter_num * 2, filter_num, 8, 4, 1, bias=False),
        nn.BatchNorm2d(filter_num),
        nn.LeakyReLU(0.2, inplace=True),
        # (filter_num) x 3 x 3
    )

Can you tell me how these parameters are set, if I modify the size of the input of the picture?