Function update_config

TinyViT/config.py:201–241

(config, args)

def update_config(config, args):
    _update_config_from_file(config, args.cfg)

    config.defrost()
    if args.opts:
        config.merge_from_list(args.opts)

    # merge from specific arguments
    if args.batch_size:
        config.DATA.BATCH_SIZE = args.batch_size
    if args.data_path:
        config.DATA.DATA_PATH = args.data_path
    if args.pretrained:
        config.MODEL.PRETRAINED = args.pretrained
    if args.resume:
        config.MODEL.RESUME = args.resume
    if args.accumulation_steps:
        config.TRAIN.ACCUMULATION_STEPS = args.accumulation_steps
    if args.use_checkpoint:
        config.TRAIN.USE_CHECKPOINT = True
    if args.disable_amp or args.only_cpu:
        config.AMP_ENABLE = False
    if args.output:
        config.OUTPUT = args.output
    if args.tag:
        config.TAG = args.tag
    if args.eval:
        config.EVAL_MODE = True
    if args.throughput:
        config.THROUGHPUT_MODE = True

    # set local rank for distributed training
    if args.local_rank is None and 'LOCAL_RANK' in os.environ:
        args.local_rank = int(os.environ['LOCAL_RANK'])
    # set local rank for distributed training
    config.LOCAL_RANK = args.local_rank

    # output folder
    config.OUTPUT = os.path.join(config.OUTPUT, config.MODEL.NAME, config.TAG)

    config.freeze()


def get_config(args=None):