Open some test error uts in pir

python/paddle/tensor/math.py

@@ -1546,6 +1546,8 @@ def sum(x, axis=None, dtype=None, keepdim=False, name=None):
             [
                 'bool',
                 'uint16',
+                'int8',
+                'uint8',
                 'float16',
                 'float32',
                 'float64',

test/legacy_test/test_gather_nd_op.py

@@ -613,16 +613,14 @@ def check_raise_is_test():
 
 
 class TestGatherNdError(unittest.TestCase):
-    def test_error(self):
+    @test_with_pir_api
+    def test_error1(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
         ):
             shape = [8, 9, 6]
             x = paddle.static.data(shape=shape, dtype='float32', name='x')
             index = paddle.static.data(shape=shape, dtype='bool', name='index')
-            index_float = paddle.static.data(
-                shape=shape, dtype='float32', name='index_float'
-            )
             np_x = np.random.random(shape).astype('float32')
             np_index = np.array(np.random.randint(2, size=shape, dtype=bool))
 
@@ -636,6 +634,16 @@ def test_index_type():
 
             self.assertRaises(TypeError, test_index_type)
 
+    def test_error2(self):
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
+            shape = [8, 9, 6]
+            x = paddle.static.data(shape=shape, dtype='float32', name='x')
+            index_float = paddle.static.data(
+                shape=shape, dtype='float32', name='index_float'
+            )
+
             def test_index_dtype():
                 paddle.gather_nd(x, index_float)
 

test/legacy_test/test_reduce_op.py

@@ -20,7 +20,7 @@
 
 import paddle
 from paddle import base
-from paddle.base import Program, core, program_guard
+from paddle.base import core
 from paddle.base.framework import convert_np_dtype_to_dtype_, in_pir_mode
 from paddle.pir_utils import test_with_pir_api
 
@@ -963,8 +963,11 @@ def test_check_output(self):
 
 
 class TestAllOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
-        with program_guard(Program(), Program()):
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
             # The input type of reduce_all_op must be Variable.
             input1 = 12
             self.assertRaises(TypeError, paddle.all, input1)
@@ -1121,8 +1124,11 @@ def test_check_output(self):
 
 
 class TestAnyOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
-        with program_guard(Program(), Program()):
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
             # The input type of reduce_any_op must be Variable.
             input1 = 12
             self.assertRaises(TypeError, paddle.any, input1)
@@ -1640,26 +1646,17 @@ def test_check_grad(self):
 
 
 class TestReduceSumOpError(unittest.TestCase):
-    def test_errors(self):
+    def test_errors1(self):
         with static_guard():
-            with program_guard(Program(), Program()):
-                # The input type of reduce_sum_op must be Variable.
-                x1 = base.create_lod_tensor(
-                    np.array([[-1]]), [[1]], base.CPUPlace()
-                )
-                self.assertRaises(TypeError, paddle.sum, x1)
-                # The input dtype of reduce_sum_op  must be float32 or float64 or int32 or int64.
-                x2 = paddle.static.data(name='x2', shape=[-1, 4], dtype="uint8")
-                self.assertRaises(TypeError, paddle.sum, x2)
-
-            with paddle.pir_utils.IrGuard(), program_guard(
-                Program(), Program()
+            with paddle.static.program_guard(
+                paddle.static.Program(), paddle.static.Program()
             ):
                 # The input type of reduce_sum_op must be Variable.
                 x1 = base.create_lod_tensor(
                     np.array([[-1]]), [[1]], base.CPUPlace()
                 )
                 self.assertRaises(TypeError, paddle.sum, x1)
+                # The input dtype of reduce_sum_op  must be float32 or float64 or int32 or int64.
 
 
 class API_TestSumOp(unittest.TestCase):

test/legacy_test/test_squeeze2_op.py

@@ -22,6 +22,7 @@
 import paddle
 from paddle.base import core
 from paddle.base.framework import Program, program_guard
+from paddle.pir_utils import test_with_pir_api
 
 paddle.enable_static()
 
@@ -284,16 +285,12 @@ def test_api(self):
 
         paddle.enable_static()
 
+    @test_with_pir_api
     def test_error(self):
         def test_axes_type():
-            x2 = paddle.static.data(name="x2", shape=[2, 1, 25], dtype="int32")
-            self.squeeze(x2, axis=2.1)
-
-        self.assertRaises(TypeError, test_axes_type)
-
-    def test_pir_error(self):
-        def test_axes_type():
-            with paddle.pir_utils.IrGuard():
+            with paddle.static.program_guard(
+                paddle.static.Program(), paddle.static.Program()
+            ):
                 x2 = paddle.static.data(
                     name="x2", shape=[2, 1, 25], dtype="int32"
                 )

test/legacy_test/test_subtract_op.py

@@ -18,6 +18,7 @@
 
 import paddle
 from paddle.base import core
+from paddle.pir_utils import test_with_pir_api
 
 
 class ApiSubtractTest(unittest.TestCase):
@@ -39,6 +40,7 @@ def setUp(self):
         self.np_expected3 = np.subtract(self.input_a, self.input_c)
         self.np_expected4 = np.subtract(self.input_b, self.input_c)
 
+    @test_with_pir_api
     def test_static_api(self):
         paddle.enable_static()
         with paddle.static.program_guard(