TypeError: __init__() takes from 4 to 9 positional arguments but 10 were given

I am a running a classification program. While I am running this code I am getting this error:

TypeError              

---> 19 = GaborNN().to(device)


/opt/conda/lib/python3.6/site-packages/GaborNet/GaborLayer.py in __init__(self, in_channels, out_channels, kernel_size, stride, padding, dilation, groups, bias, padding_mode)
     33             groups,
     34             bias,
---> 35             padding_mode,
     36         )
     37         self.kernel_size = self.conv_layer.kernel_size

TypeError: __init__() takes from 4 to 9 positional arguments but 10 were given

where as my code is this:

   class GaborNN(nn.Module):
        def __init__(self):
            super(GaborNN, self).__init__()
            self.g0 = GaborConv2d(in_channels=1, out_channels=96, kernel_size=(11,11))
            self.c1 = nn.Conv2d(96, 384, (3,3))
            self.fc1 = nn.Linear(384*3*3, 64)
            self.fc2 = nn.Linear(64, 7)
    
        def forward(self, x):
            x = F.leaky_relu(self.g0(x))
            x = nn.MaxPool2d()(x)
            x = F.leaky_relu(self.c1(x))
            x = nn.MaxPool2d()(x)
            x = x.view(-1, 384*3*3)
            x = F.leaky_relu(self.fc1(x))
            x = self.fc2(x)
            return x
    
    model = GaborNN().to(device)

please let me know where it is going wrong.

source https://stackoverflow.com/questions/72764474/typeerror-init-takes-from-4-to-9-positional-arguments-but-10-were-given