edit bert hub config

model_zoo/official/nlp/bert/mindspore_hub_conf.py

@@ -67,11 +67,13 @@ def create_network(name, *args, **kwargs):
             bert_net_cfg_base.batch_size = kwargs["batch_size"]
         if "seq_length" in kwargs:
             bert_net_cfg_base.seq_length = kwargs["seq_length"]
-        return BertModel(bert_net_cfg_base, *args)
+        is_training = kwargs.get("is_training", default=False)
+        return BertModel(bert_net_cfg_base, is_training, *args)
     if name == 'bert_nezha':
         if "batch_size" in kwargs:
             bert_net_cfg_nezha.batch_size = kwargs["batch_size"]
         if "seq_length" in kwargs:
             bert_net_cfg_nezha.seq_length = kwargs["seq_length"]
-        return BertModel(bert_net_cfg_nezha, *args)
+        is_training = kwargs.get("is_training", default=False)
+        return BertModel(bert_net_cfg_nezha, is_training, *args)
     raise NotImplementedError(f"{name} is not implemented in the repo")

model_zoo/official/nlp/tinybert/scripts/run_distributed_gd_gpu.sh

@@ -38,5 +38,5 @@ mpirun --allow-run-as-root -n $RANK_SIZE \
 	--data_dir=$DATA_DIR \
 	--schema_dir=$SCHEMA_DIR \
 	--dataset_type="tfrecord" \
-	--enable_data_sink=False \
+	--enable_data_sink="false" \
 	--load_teacher_ckpt_path=$TEACHER_CKPT_PATH > log.txt 2>&1 &