Fix bug for UT test_calc_gradient (#41130)

python/paddle/fluid/tests/unittests/test_calc_gradient.py

@@ -122,15 +122,16 @@ class TestDoubleGradient(unittest.TestCase):
         return start_prog, main_prog, [grad_x, jvp]
 
     def test_calc_gradient(self):
-        start_prog, main_prog, fetch_list = self.build_program()
-        exe = paddle.static.Executor()
-        exe.run(start_prog)
-        ans = exe.run(main_prog,
-                      feed={'x': np.ones([2, 2]).astype(np.float32)},
-                      fetch_list=fetch_list)
-        self.assertEqual(len(ans), 2)
-        self.assertListEqual(ans[0].tolist(), [[0., 0.], [0., 0.]])
-        self.assertListEqual(ans[1].tolist(), [[2., 2.], [2., 2.]])
+        with paddle.fluid.scope_guard(paddle.static.Scope()):
+            start_prog, main_prog, fetch_list = self.build_program()
+            exe = paddle.static.Executor()
+            exe.run(start_prog)
+            ans = exe.run(main_prog,
+                          feed={'x': np.ones([2, 2]).astype(np.float32)},
+                          fetch_list=fetch_list)
+            self.assertEqual(len(ans), 2)
+            self.assertListEqual(ans[0].tolist(), [[0., 0.], [0., 0.]])
+            self.assertListEqual(ans[1].tolist(), [[2., 2.], [2., 2.]])
 
 
 class TestDoubleGradient2(unittest.TestCase):
@@ -158,15 +159,16 @@ class TestDoubleGradient2(unittest.TestCase):
         return start_prog, main_prog, [grad_x, jvp]
 
     def test_calc_gradient(self):
-        start_prog, main_prog, fetch_list = self.build_program()
-        exe = paddle.static.Executor()
-        exe.run(start_prog)
-        ans = exe.run(main_prog,
-                      feed={'x': np.ones([2, 2]).astype(np.float32)},
-                      fetch_list=fetch_list)
-        self.assertEqual(len(ans), 2)
-        self.assertListEqual(ans[0].tolist(), [[0., 0.], [0., 0.]])
-        self.assertListEqual(ans[1].tolist(), [[5., 5.], [5., 5.]])
+        with paddle.fluid.scope_guard(paddle.static.Scope()):
+            start_prog, main_prog, fetch_list = self.build_program()
+            exe = paddle.static.Executor()
+            exe.run(start_prog)
+            ans = exe.run(main_prog,
+                          feed={'x': np.ones([2, 2]).astype(np.float32)},
+                          fetch_list=fetch_list)
+            self.assertEqual(len(ans), 2)
+            self.assertListEqual(ans[0].tolist(), [[0., 0.], [0., 0.]])
+            self.assertListEqual(ans[1].tolist(), [[5., 5.], [5., 5.]])
 
 
 if __name__ == "__main__":