refactor mean op, *test=kunlun (#44000)

* refactor mean op, *test=kunlun

* refactor mean op, *test=kunlun

* refactor mean op,*test=kunlun

* refactor mean op,*test=kunlun

python/paddle/fluid/tests/unittests/xpu/CMakeLists.txt

@@ -16,9 +16,6 @@ if(WITH_XPU_BKCL)
   list(APPEND DIST_TEST_OPS test_gen_bkcl_id_op)
 endif()
 
-list(REMOVE_ITEM TEST_OPS test_concat_op_xpu)
-list(REMOVE_ITEM TEST_OPS test_mean_op_xpu)
-
 foreach(TEST_OP ${TEST_OPS})
   py_test_modules(${TEST_OP} MODULES ${TEST_OP})
 endforeach()

python/paddle/fluid/tests/unittests/xpu/test_mean_op_xpu.py

@@ -28,29 +28,66 @@
 
 np.random.seed(10)
 
+import op_test
+from op_test_xpu import XPUOpTest
+from xpu.get_test_cover_info import create_test_class, get_xpu_op_support_types, XPUOpTestWrapper
+
+paddle.enable_static()
+
+
+class XPUTestMeanOp(XPUOpTestWrapper):
+
+    def __init__(self):
+        self.op_name = 'mean'
+        self.use_dynamic_create_class = False
+
+    class TestMeanOp(XPUOpTest):
+
+        def setUp(self):
+            self.init_dtype()
+            self.set_xpu()
+            self.op_type = "mean"
+            self.place = paddle.XPUPlace(0)
+            self.set_shape()
+            self.inputs = {'X': np.random.random(self.shape).astype(self.dtype)}
+            self.outputs = {'Out': np.mean(self.inputs["X"]).astype(np.float16)}
+
+        def init_dtype(self):
+            self.dtype = self.in_type
+
+        def set_shape(self):
+            self.shape = (10, 10)
+
+        def set_xpu(self):
+            self.__class__.use_xpu = True
+            self.__class__.no_need_check_grad = True
+            self.__class__.op_type = self.dtype
+
+        def test_check_output(self):
+            self.check_output_with_place(self.place)
+
+        def test_checkout_grad(self):
+            self.check_grad_with_place(self.place, ['X'], 'Out')
 
-class TestMeanOp(XPUOpTest):
+    class TestMeanOp1(TestMeanOp):
 
-    def setUp(self):
-        self.op_type = "mean"
-        self.init_dtype_type()
-        self.inputs = {'X': np.random.random((10, 10)).astype(self.dtype)}
-        self.outputs = {'Out': np.mean(self.inputs["X"]).astype(np.float16)}
+        def set_shape(self):
+            self.shape = (5)
 
-    def init_dtype_type(self):
-        self.dtype = np.float32
+    class TestMeanOp2(TestMeanOp):
 
-    def test_check_output(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_output_with_place(place, atol=2e-3)
+        def set_shape(self):
+            self.shape = (5, 7, 8)
 
-    def test_checkout_grad(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_grad_with_place(place, ['X'], 'Out')
+    class TestMeanOp3(TestMeanOp):
+
+        def set_shape(self):
+            self.shape = (10, 5, 7, 8)
+
+    class TestMeanOp4(TestMeanOp):
+
+        def set_shape(self):
+            self.shape = (2, 2, 3, 3, 3)
 
 
 class TestMeanOpError(unittest.TestCase):
@@ -71,43 +108,9 @@ def test_errors(self):
             fluid.layers.softmax(input3)
 
 
-class TestXPUMeanOp(TestMeanOp):
-
-    def init_dtype_type(self):
-        self.dtype = np.float32
-
-    def test_check_output(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_output_with_place(place)
-
-    def test_checkout_grad(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_grad_with_place(place, ['X'], 'Out')
-
-
-class TestXPUMeanOpFp16(TestMeanOp):
-
-    def init_dtype_type(self):
-        self.dtype = np.float16
-
-    def test_check_output(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_output_with_place(place)
-
-    def test_checkout_grad(self):
-        if paddle.is_compiled_with_xpu():
-            paddle.enable_static()
-            place = paddle.XPUPlace(0)
-            self.check_grad_with_place(place, ['X'],
-                                       'Out',
-                                       max_relative_error=1.e1)
-
+support_types = get_xpu_op_support_types('mean')
+for stype in support_types:
+    create_test_class(globals(), XPUTestMeanOp, stype)
 
 if __name__ == "__main__":
     unittest.main()