INNER CODE UNIT · Python

add_parser_arguments

NVIDIA/DeepLearningExamples · PyTorch/Classification/ConvNets/main.py:89

def add_parser_arguments(parser, skip_arch=False):
    parser.add_argument("data", metavar="DIR", help="path to dataset")
    parser.add_argument(
        "--data-backend",
        metavar="BACKEND",
        default="dali-cpu",
        choices=DATA_BACKEND_CHOICES,
        help="data backend: "
        + " | ".join(DATA_BACKEND_CHOICES)
        + " (default: dali-cpu)",
    )
    parser.add_argument(
        "--interpolation",
        metavar="INTERPOLATION",
        default="bilinear",
        help="interpolation type for resizing images: bilinear, bicubic or triangular(DALI only)",
    )
    if not skip_arch:

View source record →