import torch.nn as nn
from torchvision import models

class CustomResNet18(nn.Module):
    def __init__(self, num_classes=11):
        super(CustomResNet18, self).__init__()
        self.output = None
        self.resnet = models.resnet18(pretrained=True)
        num_features = self.resnet.fc.in_features
        self.resnet.fc = nn.Linear(num_features, num_classes)

    def forward(self, x):
        self.output = self.resnet(x)
        return self.output