【New IR】New ir op test v1.1(sum passed) (#56756)

* add reference of lbfgs

* add reference of lbfgs

* new ir op test v1.0

* fix new ir optest bug1.0

* modify two testcase bug

* add new ir white list & pass test_mean_op.py

* rename white list

* add new_ir_guard

* new ir sum op test all pass

* rename backward.grad as ir_backward.grad

* check place for new ir

* fix test_build_model env bug

* fix test_prim_program backward bug

* change backward to ir_backward in check_appr

* add check_new_ir flag for mkldnn

* clean

---------
Co-authored-by: Nwangruting <wangruting@baidu.com>

python/paddle/tensor/math.py

@@ -1510,8 +1510,11 @@ def sum(x, axis=None, dtype=None, keepdim=False, name=None):
 
     dtype_flag = False
     if dtype is not None:
-        dtype_flag = True
-        dtype = convert_np_dtype_to_dtype_(dtype)
+        if paddle.ir.core._use_new_ir_api():
+            dtype = paddle.ir.core.convert_np_dtype_to_dtype_(dtype)
+        else:
+            dtype_flag = True
+            dtype = convert_np_dtype_to_dtype_(dtype)
 
     if in_dynamic_mode():
         return _C_ops.sum(x, axis, dtype, keepdim)

test/legacy_test/eager_op_test.py

@@ -1927,6 +1927,7 @@ class OpTest(unittest.TestCase):
         only_check_prim=False,
         inplace_atol=None,
         check_cinn=False,
+        check_new_ir=True,
     ):
         core._set_prim_all_enabled(False)
         core.set_prim_eager_enabled(False)
@@ -2455,6 +2456,7 @@ class OpTest(unittest.TestCase):
         if (
             self.op_type
             in new_ir_python_api_grad_white_list.new_ir_python_api_grad_white_list
+            and check_new_ir
         ):
             if (
                 type(place) is paddle.fluid.libpaddle.CPUPlace
@@ -2576,6 +2578,7 @@ class OpTest(unittest.TestCase):
         inplace_atol=None,
         check_cinn=False,
         only_check_prim=False,
+        check_new_ir=True,
     ):
         self.__class__.op_type = self.op_type
         if self.is_mkldnn_op():
@@ -2600,6 +2603,7 @@ class OpTest(unittest.TestCase):
                 only_check_prim=only_check_prim,
                 inplace_atol=inplace_atol,
                 check_cinn=check_cinn,
+                check_new_ir=check_new_ir,
             )
             if not res and only_check_prim:
                 continue
@@ -2766,6 +2770,7 @@ class OpTest(unittest.TestCase):
         only_check_prim=False,
         atol=1e-5,
         check_cinn=False,
+        check_new_ir=True,
     ):
         if hasattr(self, "use_custom_device") and self.use_custom_device:
             check_dygraph = False
@@ -2788,6 +2793,7 @@ class OpTest(unittest.TestCase):
                 only_check_prim=only_check_prim,
                 atol=atol,
                 check_cinn=check_cinn,
+                check_new_ir=check_new_ir,
             )
 
     def check_grad_with_place(
@@ -2807,6 +2813,7 @@ class OpTest(unittest.TestCase):
         numeric_place=None,
         atol=1e-5,
         check_cinn=False,
+        check_new_ir=True,
     ):
         if hasattr(self, "use_custom_device") and self.use_custom_device:
             check_dygraph = False
@@ -3007,6 +3014,7 @@ class OpTest(unittest.TestCase):
         if (
             self.op_type
             in new_ir_python_api_grad_white_list.new_ir_python_api_grad_white_list
+            and check_new_ir
         ):
             if (
                 type(place) is paddle.fluid.libpaddle.CPUPlace

test/legacy_test/test_reduce_op.py

@@ -1180,7 +1180,11 @@ class Test3DReduce3(Test1DReduce):
 
 
 def reduce_sum_wrapper2(x, axis=[0], dtype=None, keepdim=False):
-    return paddle._C_ops.sum(x, axis, dtype, keepdim)
+    if paddle.in_dynamic_mode():
+        return paddle._C_ops.sum(x, axis, dtype, keepdim)
+    else:
+        if paddle.ir.core._use_new_ir_api():
+            return paddle._ir_ops.sum(x, axis, dtype, keepdim)
 
 
 class Test8DReduce0(Test1DReduce):

test/mkldnn/test_reduce_bf16_mkldnn_op.py

@@ -40,7 +40,7 @@ class TestReduceSumDefaultBF16OneDNNOp(OpTest):
         self.attrs = {'use_mkldnn': self.use_mkldnn}
 
     def test_check_output(self):
-        self.check_output(check_dygraph=False)
+        self.check_output(check_dygraph=False, check_new_ir=False)
 
     def calculate_grads(self):
         tmp_tensor = np.zeros(self.x_fp32.shape).astype("float32")
@@ -84,6 +84,7 @@ class TestReduceDefaultWithGradBF16OneDNNOp(TestReduceSumDefaultBF16OneDNNOp):
             check_dygraph=False,
             user_defined_grads=[self.grad_X],
             user_defined_grad_outputs=[convert_float_to_uint16(self.grad_Out)],
+            check_new_ir=False,
         )
 
 

test/mkldnn/test_reduce_mkldnn_op.py

@@ -29,12 +29,12 @@ class TestReduceSumDefaultOneDNNOp(OpTest):
         self.attrs = {'use_mkldnn': self.use_mkldnn}
 
     def test_check_output(self):
-        self.check_output(check_dygraph=False)
+        self.check_output(check_dygraph=False, check_new_ir=False)
 
 
 class TestReduceDefaultWithGradOneDNNOp(TestReduceSumDefaultOneDNNOp):
     def test_check_grad(self):
-        self.check_grad(['X'], 'Out', check_dygraph=False)
+        self.check_grad(['X'], 'Out', check_dygraph=False, check_new_ir=False)
 
 
 class TestReduceSum4DOneDNNOp(TestReduceDefaultWithGradOneDNNOp):

test/white_list/new_ir_python_api_grad_white_list.py

@@ -14,4 +14,5 @@
 
 new_ir_python_api_grad_white_list = [
     "mean",
+    "reduce_sum",
 ]