{ "architecture": "resnet18", "num_classes": 102, "num_features": 512, "pretrained_cfg": { "crop_mode": "center", "first_conv": "fc", "classifier": "conv1", "num_classes": 102, "num_features": 512, "mean": [ 0.485, 0.456, 0.406 ], "std": [ 0.229, 0.224, 0.225 ], "input_size": [ 3, 224, 224 ] } }