diff --git a/tests/onnx/test_auto_scan_abs.py b/tests/onnx/test_auto_scan_abs.py
new file mode 100644
index 0000000000000000000000000000000000000000..deb54d0f57ff45952159bfc734b9928e7c00182e
--- /dev/null
+++ b/tests/onnx/test_auto_scan_abs.py
@@ -0,0 +1,58 @@
+# 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.
+
+from auto_scan_test import OPConvertAutoScanTest
+from hypothesis import reproduce_failure
+from onnxbase import randtool
+import hypothesis.strategies as st
+import numpy as np
+import unittest
+
+
+class TestAbsConvert(OPConvertAutoScanTest):
+    """
+    ONNX op: Abs
+    OPset version: 7~15
+    """
+
+    def sample_convert_config(self, draw):
+        input_shape = draw(
+            st.lists(
+                st.integers(
+                    min_value=2, max_value=6), min_size=2, max_size=5))
+
+        input_dtype = draw(st.sampled_from(["int32", "int64", "float32"]))
+
+        config = {
+            "op_names": ["Abs"],
+            "test_data_shapes": [input_shape],
+            "test_data_types": [[input_dtype]],
+            "inputs_shape": [input_shape],
+            "min_opset_version": 7,
+            "inputs_name": ["x"],
+            "outputs_name": ["y"],
+            "delta": 1e-4,
+            "rtol": 1e-4
+        }
+
+        attrs = {}
+
+        return (config, attrs)
+
+    def test(self):
+        self.run_and_statis(max_examples=30)
+
+
+if __name__ == "__main__":
+    unittest.main()