class SimpleConv(nn.Module):
    def __init__(self):
        self.conv_net = nn.Sequential(
            nn.Conv2d(1, 1, kernel_size=3, stride=1, padding=1),
            nn.ReLU(inplace=True),
        )

        self.fc_net = nn.Sequential(
            nn.Linear(channels_in, channels_out),
            nn.ReLU(inplace=True),
        )
 

    def forward(self, x: List[np.ndarray]):
        y1 = self.conv_net(x[0])
        y2 = self.fc_net(x[1])
        y = torch.cat((y1, y2), 1)
        return y