chore: import upstream snapshot with attribution

test/tensorrt/test_converter_attribute.py

@@ -0,0 +1,54 @@
+# Copyright (c) 2024 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 unittest
+
+import numpy as np
+from tensorrt_test_base import TensorRTBaseTest
+
+import paddle
+
+
+class TestShapeTRTPattern(TensorRTBaseTest):
+    def setUp(self):
+        self.python_api = paddle.shape
+        self.api_args = {
+            "x": np.random.randn(2, 16).astype("float32"),
+        }
+        self.program_config = {"feed_list": ["x"]}
+        self.min_shape = {"x": [1, 16]}
+        self.opt_shape = {"x": [2, 16]}
+        self.max_shape = {"x": [5, 16]}
+
+    def test_trt_result(self):
+        self.check_trt_result()
+
+
+class TestShapeTRTCase1Pattern(TensorRTBaseTest):
+    def setUp(self):
+        self.python_api = paddle.shape
+        self.api_args = {
+            "x": np.random.randn(2, 16).astype("int64"),
+        }
+        self.program_config = {"feed_list": ["x"]}
+        self.min_shape = {"x": [1, 16]}
+        self.opt_shape = {"x": [2, 16]}
+        self.max_shape = {"x": [5, 16]}
+
+    def test_trt_result(self):
+        self.check_trt_result()
+
+
+if __name__ == '__main__':
+    unittest.main()