rm kunlun xpu2_op_list (#48826)

*test=kunlun

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

-#   Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import sys
-import unittest
-
-import numpy as np
-
-sys.path.append("..")
-
-import paddle
-import paddle.fluid as fluid
-
-
-class TestSamplingIdShape(unittest.TestCase):
-    def test_shape(self):
-        paddle.enable_static()
-        x = fluid.layers.data(name='x', shape=[3], dtype='float32')
-        output = fluid.layers.sampling_id(x)
-
-        place = fluid.XPUPlace(0)
-        exe = fluid.Executor(place=place)
-        exe.run(fluid.default_startup_program())
-
-        feed = {
-            'x': np.array([[0.2, 0.3, 0.5], [0.2, 0.3, 0.4]], dtype='float32')
-        }
-        output_np = exe.run(feed=feed, fetch_list=[output])[0]
-
-        self.assertEqual(output.shape[0], -1)
-        self.assertEqual(len(output.shape), 1)
-        self.assertEqual(output_np.shape[0], 2)
-        self.assertEqual(len(output_np.shape), 1)
-
-
-if __name__ == "__main__":
-    unittest.main()