diff --git a/test/dygraph_to_static/seq2seq_dygraph_model.py b/test/dygraph_to_static/seq2seq_dygraph_model.py
index d2488c31b0ddb0..2359a7df502399 100644
--- a/test/dygraph_to_static/seq2seq_dygraph_model.py
+++ b/test/dygraph_to_static/seq2seq_dygraph_model.py
@@ -41,7 +41,7 @@ def __init__(
     ):
         super().__init__(dtype)
 
-        self._hiden_size = hidden_size
+        self._hidden_size = hidden_size
         self._param_attr = param_attr
         self._bias_attr = bias_attr
         self._gate_activation = gate_activation or paddle.nn.functional.sigmoid
@@ -52,13 +52,13 @@ def __init__(
 
         self._weight = self.create_parameter(
             attr=self._param_attr,
-            shape=[self._input_size + self._hiden_size, 4 * self._hiden_size],
+            shape=[self._input_size + self._hidden_size, 4 * self._hidden_size],
             dtype=self._dtype,
         )
 
         self._bias = self.create_parameter(
             attr=self._bias_attr,
-            shape=[4 * self._hiden_size],
+            shape=[4 * self._hidden_size],
             dtype=self._dtype,
             is_bias=True,
         )
diff --git a/test/dygraph_to_static/test_fallback.py b/test/dygraph_to_static/test_fallback.py
index 25a89da29fc9c5..aca2cdbb507cec 100644
--- a/test/dygraph_to_static/test_fallback.py
+++ b/test/dygraph_to_static/test_fallback.py
@@ -36,7 +36,7 @@ def unsupport_func(x):
     return paddle.to_tensor(t)
 
 
-class SuppportNet(paddle.nn.Layer):
+class SupportNet(paddle.nn.Layer):
     def __init__(self):
         super().__init__()
 
@@ -44,7 +44,7 @@ def forward(self, x):
         return support_func(x)
 
 
-class UnsuppportNet(paddle.nn.Layer):
+class UnsupportNet(paddle.nn.Layer):
     def __init__(self):
         super().__init__()
 
@@ -76,8 +76,8 @@ def test_case_func_fallback(self):
         np.testing.assert_allclose(output.numpy(), unsupport_func(self.x))
 
     def test_case_net_fallback(self):
-        s_net = SuppportNet()
-        u_net = UnsuppportNet()
+        s_net = SupportNet()
+        u_net = UnsupportNet()
         np.testing.assert_allclose(
             paddle.jit.to_static(s_net)(self.x).numpy(), 4
         )
@@ -92,8 +92,8 @@ def test_case_net_fallback(self):
 
     @test_ast_only
     def test_case_net_error(self):
-        s_net = SuppportNet()
-        u_net = UnsuppportNet()
+        s_net = SupportNet()
+        u_net = UnsupportNet()
         np.testing.assert_allclose(
             paddle.jit.to_static(s_net)(self.x).numpy(), 4
         )
@@ -111,7 +111,7 @@ def test_case_training(self):
         build_strategy = paddle.static.BuildStrategy()
         build_strategy.build_cinn_pass = True
         u_net = paddle.jit.to_static(
-            UnsuppportNet(), build_strategy=build_strategy
+            UnsupportNet(), build_strategy=build_strategy
         )
         u_net.eval()
         np.testing.assert_allclose(u_net(self.x).numpy(), [1, 1])
@@ -122,7 +122,7 @@ def test_case_save_error(self):
         """
         test the save will raise error.
         """
-        u_net = UnsuppportNet()
+        u_net = UnsupportNet()
         u_net = paddle.jit.to_static(
             u_net, input_spec=[paddle.static.InputSpec(name='x', shape=[1])]
         )
@@ -133,7 +133,7 @@ def test_case_save_error_2(self):
         """
         test the save will raise error.
         """
-        u_net = UnsuppportNet()
+        u_net = UnsupportNet()
         build_strategy = paddle.static.BuildStrategy()
         build_strategy.build_cinn_pass = True
         u_net = paddle.jit.to_static(u_net, build_strategy=build_strategy)