diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_1p.sh
index 747cd8a7126cc863e3fbc7e93fd4a47ab9d48e26..0b229e6380930ef6181c5e0fa8f86915d358bb1b 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_1p.sh
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_1p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 
 # 数据集路径,保持为空,不需要修改
 data_path=""
+sed -i "s/iterations_per_loop = 1/iterations_per_loop = 10/g" `grep -rl "iterations_per_loop = 1" ${cur_path}/../configs/config.py`
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_8p.sh b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_8p.sh
index eef86f05e9107e78f01370fb143a5c4db5bc73ef..bd28f0bebcab54489dfe2768d43819ef223a21d5 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_8p.sh
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/test/train_performance_8p.sh
@@ -13,6 +13,7 @@ RANK_ID_START=0
 
 # 数据集路径,保持为空,不需要修改
 data_path=""
+sed -i "s/iterations_per_loop = 1/iterations_per_loop = 10/g" `grep -rl "iterations_per_loop = 1" ${cur_path}/../configs/config.py`
 
 #设置默认日志级别,不需要修改
 export ASCEND_GLOBAL_LOG_LEVEL=3
diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/train.py b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/train.py
index 6852b54388f51c8d6e4b3347ebd381fdc23ee41e..8aca658e48dc5359e00fb5e9a27a2c9a61f68ecb 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/train.py
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID0028_for_TensorFlow/train.py
@@ -383,6 +383,7 @@ if __name__ == '__main__':
     custom_op.parameter_map["min_group_size"].b = 1
     custom_op.parameter_map["precision_mode"].s = tf.compat.as_bytes("allow_mix_precision")
     custom_op.parameter_map["hcom_parallel"].b = True
+    custom_op.parameter_map["iterations_per_loop"].i = 10
 
     if args.over_dump is True:
         print("NPU overflow dump is enabled")