def check_args(parsed_args):
    """ Function to check for inherent contradictions within parsed arguments.
    For example, batch_size < num_gpus
    Intended to raise errors prior to backend initialisation.

    Args
        parsed_args: parser.parse_args()

    Returns
        parsed_args
    """

    if parsed_args.multi_gpu > 1 and parsed_args.batch_size < parsed_args.multi_gpu:
        raise ValueError(
            "Batch size ({}) must be equal to or higher than the number of GPUs ({})".format(parsed_args.batch_size,
                                                                                             parsed_args.multi_gpu))

    if parsed_args.multi_gpu > 1 and parsed_args.snapshot:
        raise ValueError(
            "Multi GPU training ({}) and resuming from snapshots ({}) is not supported.".format(parsed_args.multi_gpu,
                                                                                                parsed_args.snapshot))

    if parsed_args.multi_gpu > 1 and not parsed_args.multi_gpu_force:
        raise ValueError("Multi-GPU support is experimental, use at own risk! Run with --multi-gpu-force if you wish to continue.")

    if 'resnet' not in parsed_args.backbone:
        warnings.warn('Using experimental backbone {}. Only resnet50 has been properly tested.'.format(parsed_args.backbone))

    return parsed_args
 Function to check for inherent contradictions within parsed arguments.
    For example, batch_size < num_gpus
    Intended to raise errors prior to backend initialisation.

    Args
        parsed_args: parser.parse_args()

    Returns
        parsed_args
    
keras_retinanet/bin/train.py