diff --git a/test_benchmark/PyTorch/GRU/deploy_infer.py b/test_benchmark/PyTorch/GRU/deploy_infer.py
index 85dfe0f9b..b248e6747 100644
--- a/test_benchmark/PyTorch/GRU/deploy_infer.py
+++ b/test_benchmark/PyTorch/GRU/deploy_infer.py
@@ -4,7 +4,6 @@
 
 import numpy as np
 import paddle
-import paddle.fluid as fluid
 from paddle.inference import Config
 from paddle.inference import create_predictor
 
diff --git a/test_benchmark/PyTorch/GRU/pd_infer.py b/test_benchmark/PyTorch/GRU/pd_infer.py
index fa7d1b49b..30904601b 100644
--- a/test_benchmark/PyTorch/GRU/pd_infer.py
+++ b/test_benchmark/PyTorch/GRU/pd_infer.py
@@ -1,5 +1,4 @@
 from __future__ import print_function
-import paddle.fluid as fluid
 import paddle
 import sys
 import os
@@ -14,11 +13,8 @@
     # trace
     paddle.enable_static()
     exe = paddle.static.Executor(paddle.CPUPlace())
-    [prog, inputs, outputs] = fluid.io.load_inference_model(
-        dirname="pd_model_trace/inference_model/",
-        executor=exe,
-        model_filename="model.pdmodel",
-        params_filename="model.pdiparams")
+    [prog, inputs, outputs] = paddle.static.load_inference_model(
+        path_prefix="pd_model_trace/inference_model/model", executor=exe)
     result = exe.run(prog, feed={inputs[0]: input_data}, fetch_list=outputs)
     abs_diff = np.max(np.abs(pytorch_result - result[0]))
     print(abs_diff)
diff --git a/test_benchmark/PyTorch/black.list b/test_benchmark/PyTorch/black.list
index df67cb92b..cf6458c25 100644
--- a/test_benchmark/PyTorch/black.list
+++ b/test_benchmark/PyTorch/black.list
@@ -4,7 +4,6 @@ CamembertForQuestionAnswering
 DPRContextEncoder
 EasyOCR_detector
 EasyOCR_recognizer
-GRU
 MiniFasNet
 MockingBird
 Roberta
diff --git a/x2paddle/op_mapper/pytorch2paddle/aten.py b/x2paddle/op_mapper/pytorch2paddle/aten.py
index 186b901a6..5254d6109 100755
--- a/x2paddle/op_mapper/pytorch2paddle/aten.py
+++ b/x2paddle/op_mapper/pytorch2paddle/aten.py
@@ -4198,6 +4198,10 @@ def aten_norm(mapper, graph, node):
     return current_inputs, current_outputs
 
 
+# pytorch has one more param: `dtype`, which is not used.
+aten_linalg_vector_norm = aten_norm
+
+
 def aten___not__(mapper, graph, node):
     """ 构造对bool型取负的PaddleLayer。
     TorchScript示例: