fix meshgird and expand_as test (#53951)

python/paddle/fluid/tests/unittests/test_expand_as_v2_op.py

@@ -103,10 +103,7 @@ class TestExpandAsOpRank2(TestExpandAsBasic):
     or not core.is_bfloat16_supported(core.CUDAPlace(0)),
     "core is not compiled with CUDA or not support the bfloat16",
 )
-class TestExpandAsOpRank2BFP16OP(TestExpandAsOpRank2):
-    def init_dtype(self):
-        self.dtype = np.uint16
-
+class TestExpandAsOpRank2BFP16OP(TestExpandAsBasicBFP16OP):
     def init_inputs_and_outputs(self):
         x = np.random.rand(10, 12).astype(np.float32)
         target_tensor = np.random.rand(10, 12).astype(np.float32)
@@ -119,17 +116,6 @@ class TestExpandAsOpRank2BFP16OP(TestExpandAsOpRank2):
         output = np.tile(x, bcast_dims)
         self.outputs = {'Out': convert_float_to_uint16(output)}
 
-    def if_enable_cinn(self):
-        self.enable_cinn = False
-
-    def test_check_output(self):
-        self.check_output_with_place(place=paddle.CUDAPlace(0))
-
-    def test_check_grad(self):
-        self.check_grad_with_place(
-            paddle.CUDAPlace(0), ['X'], 'Out', check_prim=True
-        )
-
 
 class TestExpandAsOpRank3(TestExpandAsBasic):
     def init_inputs_and_outputs(self):
@@ -147,10 +133,7 @@ class TestExpandAsOpRank3(TestExpandAsBasic):
     or not core.is_bfloat16_supported(core.CUDAPlace(0)),
     "core is not compiled with CUDA or not support the bfloat16",
 )
-class TestExpandAsOpRank3BFP16OP(TestExpandAsOpRank3):
-    def init_dtype(self):
-        self.dtype = np.uint16
-
+class TestExpandAsOpRank3BFP16OP(TestExpandAsBasicBFP16OP):
     def init_inputs_and_outputs(self):
         x = np.random.rand(2, 3, 20).astype(np.float32)
         target_tensor = np.random.rand(2, 3, 20).astype(np.float32)
@@ -163,17 +146,6 @@ class TestExpandAsOpRank3BFP16OP(TestExpandAsOpRank3):
         output = np.tile(x, bcast_dims)
         self.outputs = {'Out': convert_float_to_uint16(output)}
 
-    def if_enable_cinn(self):
-        self.enable_cinn = False
-
-    def test_check_output(self):
-        self.check_output_with_place(place=paddle.CUDAPlace(0))
-
-    def test_check_grad(self):
-        self.check_grad_with_place(
-            paddle.CUDAPlace(0), ['X'], 'Out', check_prim=True
-        )
-
 
 class TestExpandAsOpRank4(TestExpandAsBasic):
     def init_inputs_and_outputs(self):
@@ -191,10 +163,7 @@ class TestExpandAsOpRank4(TestExpandAsBasic):
     or not core.is_bfloat16_supported(core.CUDAPlace(0)),
     "core is not compiled with CUDA or not support the bfloat16",
 )
-class TestExpandAsOpRank4BFP16OP(TestExpandAsOpRank3):
-    def init_dtype(self):
-        self.dtype = np.uint16
-
+class TestExpandAsOpRank4BFP16OP(TestExpandAsBasicBFP16OP):
     def init_inputs_and_outputs(self):
         x = np.random.rand(1, 1, 7, 16).astype(np.float32)
         target_tensor = np.random.rand(4, 6, 7, 16).astype(np.float32)
@@ -207,17 +176,6 @@ class TestExpandAsOpRank4BFP16OP(TestExpandAsOpRank3):
         output = np.tile(x, bcast_dims)
         self.outputs = {'Out': convert_float_to_uint16(output)}
 
-    def if_enable_cinn(self):
-        self.enable_cinn = False
-
-    def test_check_output(self):
-        self.check_output_with_place(place=paddle.CUDAPlace(0))
-
-    def test_check_grad(self):
-        self.check_grad_with_place(
-            paddle.CUDAPlace(0), ['X'], 'Out', check_prim=True
-        )
-
 
 class TestExpandAsOpRank5(TestExpandAsBasic):
     no_need_check_grad = True

python/paddle/fluid/tests/unittests/test_meshgrid_op.py

@@ -32,13 +32,13 @@ class TestMeshgridOp(OpTest):
         self.prim_op_type = "comp"
         self.python_api = meshgrid_wrapper
         self.public_python_api = meshgrid_wrapper
-        self.dtype = self.get_dtype()
+        self.init_data_type()
         self.init_inputs_and_outputs()
         self.python_out_sig = ['out0', 'out1']
         self.if_enable_cinn()
 
-    def get_dtype(self):
-        return "float64"
+    def init_data_type(self):
+        self.dtype = np.float64
 
     def test_check_output(self):
         self.check_output(check_prim=True)
@@ -80,8 +80,8 @@ class TestMeshgridOp2Fp16(TestMeshgridOp):
     def get_x_shape(self):
         return [100, 300]
 
-    def get_dtype(self):
-        return np.float16
+    def init_data_type(self):
+        self.dtype = np.float16
 
 
 @unittest.skipIf(