import torch.nn as nn

class MyCnnModel(nn.Module):
    def __init__(self):
        super().__init__()
        self.network = nn.Sequential(
            nn.Conv2d(3, 32, 3, padding='same'),
            nn.ReLU(),
            nn.Conv2d(32, 64, 3, padding='same'),
            nn.ReLU(),
            nn.MaxPool2d(2, 2),
            nn.BatchNorm2d(64),

            nn.Conv2d(64, 128, 3, padding='same'),
            nn.ReLU(),
            nn.Conv2d(128, 128, 3, padding='same'),
            nn.ReLU(),
            nn.MaxPool2d(2, 2),
            nn.BatchNorm2d(128),

            nn.Conv2d(128, 256, 3, padding='same'),
            nn.ReLU(),
            nn.Conv2d(256, 256, 3, padding='same'),
            nn.ReLU(),
            nn.MaxPool2d(2, 2),
            nn.BatchNorm2d(256),

            nn.Flatten(), 
            nn.Linear(256*4*4, 512),
            nn.ReLU(),
            nn.Linear(512, 10))
        
    def forward(self, xb):
        return self.network(xb)