[PIR] D Adapt mean test_errors

test/legacy_test/test_batch_norm_op.py

@@ -921,6 +921,7 @@ def init_test_case(self):
 
 
 class TestBatchNormOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
             # the input of batch_norm must be Variable.
@@ -942,6 +943,7 @@ def test_errors(self):
 
 
 class TestDygraphBatchNormAPIError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
             batch_norm = paddle.nn.BatchNorm(10)

test/legacy_test/test_bicubic_interp_op.py

@@ -21,6 +21,7 @@
 from paddle import base
 from paddle.base import Program, program_guard
 from paddle.nn.functional import interpolate
+from paddle.pir_utils import test_with_pir_api
 
 
 def cubic_1(x, a):
@@ -363,6 +364,7 @@ def test_case(self):
 
 
 class TestBicubicOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
             # the input of interpoalte must be Variable.

test/legacy_test/test_clip_op.py

@@ -251,6 +251,7 @@ def initTestCase(self):
 
 
 class TestClipOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         paddle.enable_static()
         with program_guard(Program(), Program()):
@@ -424,6 +425,7 @@ def test_clip_dygraph_default_max(self):
         np.testing.assert_allclose(out2.numpy(), egr_out2.numpy(), rtol=1e-05)
         np.testing.assert_allclose(out3.numpy(), egr_out3.numpy(), rtol=1e-05)
 
+    @test_with_pir_api
     def test_errors(self):
         paddle.enable_static()
         x1 = paddle.static.data(name='x1', shape=[1], dtype="int16")

test/legacy_test/test_conv2d_op.py

@@ -21,6 +21,7 @@
 import paddle
 from paddle import base
 from paddle.base import Program, core, program_guard
+from paddle.pir_utils import test_with_pir_api
 
 
 def conv2d_forward_naive(
@@ -726,6 +727,7 @@ def init_kernel_type(self):
 
 
 class TestConv2DOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
 

test/legacy_test/test_dot_op.py

@@ -20,6 +20,7 @@
 import paddle
 from paddle import base
 from paddle.base import Program, core, program_guard
+from paddle.pir_utils import test_with_pir_api
 
 
 class DotOp(OpTest):
@@ -131,6 +132,7 @@ def test_check_grad_ingore_y(self):
 
 
 class TestDotOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
             # the input dtype of elementwise_mul must be float16 or float32 or float64 or int32 or int64

test/legacy_test/test_eig_op.py

@@ -20,6 +20,7 @@
 import paddle
 from paddle import base
 from paddle.base import core
+from paddle.pir_utils import test_with_pir_api
 
 
 # cast output to complex for numpy.linalg.eig
@@ -348,6 +349,7 @@ def test_check_grad(self):
 
 
 class TestEigWrongDimsError(unittest.TestCase):
+    @test_with_pir_api
     def test_error(self):
         paddle.device.set_device("cpu")
         paddle.disable_static()
@@ -357,6 +359,7 @@ def test_error(self):
 
 
 class TestEigNotSquareError(unittest.TestCase):
+    @test_with_pir_api
     def test_error(self):
         paddle.device.set_device("cpu")
         paddle.disable_static()
@@ -366,6 +369,7 @@ def test_error(self):
 
 
 class TestEigUnsupportedDtypeError(unittest.TestCase):
+    @test_with_pir_api
     def test_error(self):
         paddle.device.set_device("cpu")
         paddle.disable_static()

test/legacy_test/test_eigvals_op.py

@@ -19,6 +19,7 @@
 
 import paddle
 from paddle.base import core
+from paddle.pir_utils import test_with_pir_api
 
 np.set_printoptions(threshold=np.inf)
 
@@ -324,6 +325,7 @@ def test_cases(self):
             self.run_dygraph(place)
             self.run_static(place)
 
+    @test_with_pir_api
     def test_error(self):
         paddle.disable_static()
         x = paddle.to_tensor([1])

test/legacy_test/test_gather_op.py

@@ -535,6 +535,7 @@ def test_static_graph():
 
 
 class TestGathertError(unittest.TestCase):
+    @test_with_pir_api
     def test_error1(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()
@@ -567,6 +568,7 @@ def test_axis_dtype1():
 
             self.assertRaises(TypeError, test_axis_dtype1)
 
+    @test_with_pir_api
     def test_error2(self):
         with base.program_guard(base.Program(), base.Program()):
             shape = [8, 9, 6]
@@ -586,6 +588,7 @@ def test_index_type():
 
             self.assertRaises(TypeError, test_index_type)
 
+    @test_with_pir_api
     def test_error3(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()

test/legacy_test/test_min_op.py

@@ -64,6 +64,7 @@ def test_api(self):
             (res,) = exe.run(feed={"data": input_data}, fetch_list=[result_min])
         self.assertEqual((res == np.min(input_data, axis=(0, 1))).all(), True)
 
+    @test_with_pir_api
     def test_errors(self):
         paddle.enable_static()
 

test/legacy_test/test_prod_op.py

@@ -151,6 +151,7 @@ def test_gpu(self):
 
 
 class TestProdOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_error(self):
         with paddle.static.program_guard(
             paddle.static.Program(), paddle.static.Program()

test/legacy_test/test_solve_op.py

@@ -25,6 +25,7 @@
 
 from paddle import base
 from paddle.base import Program, program_guard
+from paddle.pir_utils import test_with_pir_api
 
 
 # 2D normal case
@@ -258,6 +259,7 @@ def test_check_grad_normal(self):
 
 
 class TestSolveOpError(unittest.TestCase):
+    @test_with_pir_api
     def test_errors(self):
         with program_guard(Program(), Program()):
             # The input type of solve_op must be Variable.