[PIR]Migrate maximum into pir

python/paddle/pir_utils.py

@@ -13,6 +13,8 @@
 # limitations under the License.
 
 
+from functools import wraps
+
 import paddle
 
 
@@ -95,3 +97,13 @@ def _switch_to_old_ir(self):
                 "IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
                 please set FLAGS_enable_pir_api = false"
             )
+
+
+def test_with_pir_api(func):
+    @wraps(func)
+    def impl(*args, **kwargs):
+        func(*args, **kwargs)
+        with IrGuard():
+            func(*args, **kwargs)
+
+    return impl

python/paddle/tensor/math.py

@@ -1226,7 +1226,7 @@ def maximum(x, y, name=None):
             Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
             [5.  , 3.  , inf.])
     """
-    if in_dynamic_mode():
+    if in_dynamic_or_pir_mode():
         return _C_ops.maximum(x, y)
     else:
         return _elementwise_op(LayerHelper('elementwise_max', **locals()))

test/legacy_test/test_maximum_op.py

@@ -18,6 +18,7 @@
 
 import paddle
 from paddle.base import core
+from paddle.pir_utils import test_with_pir_api
 
 
 class ApiMaximumTest(unittest.TestCase):
@@ -39,6 +40,7 @@ def setUp(self):
         self.np_expected3 = np.maximum(self.input_a, self.input_c)
         self.np_expected4 = np.maximum(self.input_b, self.input_c)
 
+    @test_with_pir_api
     def test_static_api(self):
         paddle.enable_static()
         with paddle.static.program_guard(
@@ -119,3 +121,7 @@ def test_dynamic_api(self):
         res = paddle.maximum(b, c)
         res = res.numpy()
         np.testing.assert_allclose(res, self.np_expected4, rtol=1e-05)
+
+
+if __name__ == '__main__':
+    unittest.main()