# Auto-extracted class source (static)

class RRF_Ultra_CNN(nn.Module):
    def __init__(self, input_dim=1, output_dim=1):
        super(RRF_Ultra_CNN, self).__init__()
        self.conv1 = nn.Conv1d(input_dim, 64, kernel_size=3, padding=1)
        self.conv2 = nn.Conv1d(64, 128, kernel_size=3, padding=1)
        self.fc1 = nn.Linear(128*160, 256)
        self.fc2 = nn.Linear(256, output_dim)

    def forward(self, x):
        x = F.relu(self.conv1(x))
        x = F.relu(self.conv2(x))
        x = torch.flatten(x, 1)
        x = F.relu(self.fc1(x))
        return torch.sigmoid(self.fc2(x))