def se_resnet50(num_classes):
model = ResNet(SEBottleneck, [<NUM_LIT:3>, <NUM_LIT:4>, <NUM_LIT:6>, <NUM_LIT:3>], num_classes=num_classes)<EOL>model.avgpool = nn.AdaptiveAvgPool2d(<NUM_LIT:1>)<EOL>return model<EOL>
Constructs a ResNet-50 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet