From d3eaef11fc7a7f8078ea0d3e25adf8cc766c63be Mon Sep 17 00:00:00 2001
From: zhangkaihuo <zhangkaihuo@baidu.com>
Date: Mon, 8 May 2023 11:28:51 +0800
Subject: [PATCH] add teset

---
 python/tests/op_mappers/test_matmul_op.py | 53 +++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 python/tests/op_mappers/test_matmul_op.py

diff --git a/python/tests/op_mappers/test_matmul_op.py b/python/tests/op_mappers/test_matmul_op.py
new file mode 100644
index 0000000000..fe64e3014e
--- /dev/null
+++ b/python/tests/op_mappers/test_matmul_op.py
@@ -0,0 +1,53 @@
+#!/usr/bin/env python3
+
+# Copyright (c) 2023 CINN 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 unittest
+import numpy as np
+from op_mapper_test import OpMapperTest, logger
+import paddle
+
+
+class TestMatmulOp(OpMapperTest):
+    def init_input_data(self):
+        self.feed_data = {
+            "x": self.random([16, 32], "float32"),
+            "y": self.random([32, 16], "float32")
+        }
+
+    def set_op_type(self):
+        return "matmul"
+
+    def set_op_inputs(self):
+        x = paddle.static.data('X', self.feed_data["x"].shape,
+                               self.feed_data["x"].dtype)
+        x = paddle.static.data('Y', self.feed_data["y"].shape,
+                                    self.feed_data["Y"].dtype)
+        return {'X': [x], 'Y': [y]}
+
+    def set_op_attrs(self):
+        return {
+            "trans_x": False,
+            "trans_y": False
+        }
+
+    def set_op_outputs(self):
+        return {'Out': [str(self.feed_data['x'].dtype)]}
+
+    def test_check_results(self):
+        self.check_outputs_and_grads()
+
+if __name__ == "__main__":
+    unittest.main()