simple pytorch cnn

CNN.py

class CNN(nn.Module):
    def __init__(self):
        super(CNN, self).__init__()
        self.conv1 = nn.Sequential(
            nn.Conv2d(1, 16, 5, stride=2),
            nn.ReLU(),
            nn.MaxPool2d(kernel_size=2)
        )
        self.conv2 = nn.Sequential(
            nn.Conv2d(16, 32, 5, stride=2),
            nn.ReLU(),
            nn.MaxPool2d(kernel_size=2)
        )
        
        self.fc1 = nn.Linear(32, 50)
        self.fc2 = nn.Linear(50, 10)
        
    def forward(self, x):
        
        x = self.conv1(x)
        x = self.conv2(x)
#         print(x.shape)
        x = x.view(x.shape[0], -1)
        
        x = F.relu(self.fc1(x))
        x = self.fc2(x)
        return x