def l_resnext101(pretrained, baseWidth, cardinality): """ Construct ResNeXt-101. """ model = ResNeXt(baseWidth, cardinality, [3, 4, 23, 3], 1000) if pretrained: L.load_pretrained_params(model, model_url=model_urls["resnext101"]) return model
def l_resnet101(pretrained=False, **kwargs): """Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet """ model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs) if pretrained: L.load_pretrained_params(model, model_url=model_urls["resnet101"]) return model