import torch.nn as nn

class RelationshipNet(nn.Module):
    def __init__(self, num_classes):
        super().__init__()

        self.model = nn.Sequential(
            nn.Conv2d(3, 32, 3, padding=1),
            nn.ReLU(),
            nn.MaxPool2d(2),

            nn.Conv2d(32, 64, 3, padding=1),
            nn.ReLU(),
            nn.MaxPool2d(2),

            nn.Conv2d(64, 128, 3, padding=1),
            nn.ReLU(),
            nn.MaxPool2d(2),

            nn.Flatten(),
            nn.Linear(128 * 16 * 16, 256),
            nn.ReLU(),
            nn.Linear(256, num_classes)
        )

    def forward(self, x):
        return self.model(x)