update CVPR-2019-GDAS re-train NASNet-search-space searched models

lib/config_utils/basic_args.py

@@ -12,6 +12,7 @@ def obtain_basic_args():
   parser.add_argument('--optim_config',     type=str,                   help='The path to the optimizer configuration')
   parser.add_argument('--procedure'   ,     type=str,                   help='The procedure basic prefix.')
   parser.add_argument('--model_source',     type=str,  default='normal',help='The source of model defination.')
+  parser.add_argument('--extra_model_path', type=str,  default=None,    help='The extra model ckp file (help to indicate the searched architecture).')
   add_shared_args( parser )
   # Optimization options
   parser.add_argument('--batch_size',       type=int,  default=2,       help='Batch size for training.')

lib/config_utils/configure_utils.py

@@ -29,7 +29,8 @@ def convert_param(original_lists):
     elif ctype == 'float':
       x = float(x)
     elif ctype == 'none':
-      assert x == 'None', 'for none type, the value must be None instead of {:}'.format(x)
+      if x.lower() != 'none':
+        raise ValueError('For the none type, the value must be none instead of {:}'.format(x))
       x = None
     else:
       raise TypeError('Does not know this type : {:}'.format(ctype))