def _resolve_pretrained_source()

in timm/models/_builder.py [0:0]


def _resolve_pretrained_source(pretrained_cfg: Dict[str, Any]) -> Tuple[str, str]:
    cfg_source = pretrained_cfg.get('source', '')
    pretrained_url = pretrained_cfg.get('url', None)
    pretrained_file = pretrained_cfg.get('file', None)
    pretrained_sd = pretrained_cfg.get('state_dict', None)
    hf_hub_id = pretrained_cfg.get('hf_hub_id', None)

    # resolve where to load pretrained weights from
    load_from = ''
    pretrained_loc = ''
    if cfg_source == 'hf-hub' and has_hf_hub(necessary=True):
        # hf-hub specified as source via model identifier
        load_from = 'hf-hub'
        assert hf_hub_id
        pretrained_loc = hf_hub_id
    elif cfg_source == 'local-dir':
        load_from = 'local-dir'
        pretrained_loc = pretrained_file
    else:
        # default source == timm or unspecified
        if pretrained_sd:
            # direct state_dict pass through is the highest priority
            load_from = 'state_dict'
            pretrained_loc = pretrained_sd
            assert isinstance(pretrained_loc, dict)
        elif pretrained_file:
            # file load override is the second-highest priority if set
            load_from = 'file'
            pretrained_loc = pretrained_file
        else:
            old_cache_valid = False
            if _USE_OLD_CACHE:
                # prioritized old cached weights if exists and env var enabled
                old_cache_valid = check_cached_file(pretrained_url) if pretrained_url else False
            if not old_cache_valid and hf_hub_id and has_hf_hub(necessary=True):
                # hf-hub available as alternate weight source in default_cfg
                load_from = 'hf-hub'
                pretrained_loc = hf_hub_id
            elif pretrained_url:
                load_from = 'url'
                pretrained_loc = pretrained_url

    if load_from == 'hf-hub' and pretrained_cfg.get('hf_hub_filename', None):
        # if a filename override is set, return tuple for location w/ (hub_id, filename)
        pretrained_loc = pretrained_loc, pretrained_cfg['hf_hub_filename']
    return load_from, pretrained_loc