launch ugit

        {
            "name": "Train GIS_cycle CYGAN Style, REAL IMS FOR D, randomized, ONLY MATL INPUT, G + D, from scratch 256, L5 G2 D1",
            "type": "python",
            "request": "launch",
            "program": "${workspaceFolder}/ugit.py",
            "args": [
                "train",
                "--gpu", "2",
                "--gen_type", "p2p", 
                "--upsample", "transpose",
                "--centered_size","256",             
                "--n_layers_D", "5",
                "--n_downsample_global", "2",
                "--num_D", "1",
                "--discr_type","p2p",
                "--use_lsgan",
                "--realism_weight", "1",               
                "--inputmodes", "material_rgb",
                "--othermodes", "synth_mask+real_mask", 
                "--transform", "centered",
                "--datadir","/hd-data/datasets/kitti/kitti360/render/render_full_lightdir/",
                "--realrgbdir", "cars_cropped/",
                "--realinstancedir", "masks_cropped/",
                "--real_cars_list", "/hd-data/datasets/kitti/kitti360/render/render_full_lightdir/real_car_ims_list_3k.txt",
                "--experiment", "gis_P2PT_CYGAN_REAL_IMS_FOR_D_randomized_RGB_MATL_INPUT_G_D_256_L5_G2_D1_DEBUG"
            ]
        },