bugfix bert script

model_zoo/official/nlp/bert/run_pretrain.py

@@ -51,7 +51,7 @@ def run_pretrain():
     parser.add_argument("--do_shuffle", type=str, default="true", help="Enable shuffle for dataset, default is true.")
     parser.add_argument("--enable_data_sink", type=str, default="true", help="Enable data sink, default is true.")
     parser.add_argument("--data_sink_steps", type=int, default="1", help="Sink steps for each epoch, default is 1.")
-    parser.add_argument("--save_checkpoint_path", type=str, default=None, help="Save checkpoint path")
+    parser.add_argument("--save_checkpoint_path", type=str, default="", help="Save checkpoint path")
     parser.add_argument("--load_checkpoint_path", type=str, default="", help="Load checkpoint file path")
     parser.add_argument("--save_checkpoint_steps", type=int, default=1000, help="Save checkpoint steps, "
                                                                                 "default is 1000.")
@@ -145,7 +145,8 @@ def run_pretrain():
     if args_opt.enable_save_ckpt == "true" and args_opt.device_id % min(8, device_num) == 0:
         config_ck = CheckpointConfig(save_checkpoint_steps=args_opt.save_checkpoint_steps,
                                      keep_checkpoint_max=args_opt.save_checkpoint_num)
-        ckpoint_cb = ModelCheckpoint(prefix='checkpoint_bert', directory=ckpt_save_dir, config=config_ck)
+        ckpoint_cb = ModelCheckpoint(prefix='checkpoint_bert',
+                                     directory=None if ckpt_save_dir == "" else ckpt_save_dir, config=config_ck)
         callback.append(ckpoint_cb)
 
     if args_opt.load_checkpoint_path: