using fixed format pretrained link

hubconf.py

@@ -32,38 +32,10 @@ from ppcls.modeling.architectures import mobilenet_v3 as _mobilenet_v3
 from ppcls.modeling.architectures import resnext as _resnext
 
 
-def _load_pretrained_urls():
-    '''Load pretrained model parameters url from README.md
-    '''
-    import re
-    import os
-    from collections import OrderedDict
-
-    readme_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'README.md')
-
-    with open(readme_path, 'r') as f:
-        lines = f.readlines()
-        lines = [lin for lin in lines if lin.strip().startswith('|') and 'Download link' in lin]
-    
-    urls = OrderedDict()
-    for lin in lines:
-        try:
-            name = re.findall(r'\|(.*?)\|', lin)[0].strip().replace('<br>', '')
-            url = re.findall(r'\((.*?)\)', lin)[-1].strip()
-            if name in url:
-                urls[name] = url
-        except:
-            pass
-
-    return urls
-
-
-_checkpoints = _load_pretrained_urls()
-
 
 def _load_pretrained_parameters(model, name):
-    assert name in _checkpoints, 'Not provide {} pretrained model.'.format(name)
-    path = paddle.utils.download.get_weights_path_from_url(_checkpoints[name])
+    url = 'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/{}_pretrained.pdparams'.format(name)
+    path = paddle.utils.download.get_weights_path_from_url(url)
     model.set_state_dict(paddle.load(path))
     return model