[UnitTest][MTP]add test_speculate_get_padding_offset (#3730)

tests/operators/test_speculate_get_seq_lens_output.py

@@ -0,0 +1,60 @@
+# Copyright (c) 2025 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
+import paddle
+
+from fastdeploy.model_executor.ops.gpu import speculate_get_seq_lens_output
+
+
+class TestSpeculateGetSeqLensOutput(unittest.TestCase):
+
+    def run_seq_lens(self, input_values):
+        paddle.seed(42)
+        np.random.seed(42)
+        seq_lens_this_time = paddle.to_tensor(input_values[0], dtype="int32")
+        seq_lens_encoder = paddle.to_tensor(input_values[1], dtype="int32")
+        seq_lens_decoder = paddle.to_tensor(input_values[2], dtype="int32")
+        seq_lens_output = speculate_get_seq_lens_output(seq_lens_this_time, seq_lens_encoder, seq_lens_decoder)[0]
+        return seq_lens_output
+
+    def test_speculate_get_seq_lens_output1(self):
+        input_values = [[7], [0], [0]]
+        output_value = 7
+        result = self.run_seq_lens(input_values)
+        np.testing.assert_allclose(result.numpy(), output_value)
+
+    def test_speculate_get_seq_lens_output2(self):
+        input_values = [[7], [1], [0]]
+        output_value = 1
+        result = self.run_seq_lens(input_values)
+        np.testing.assert_allclose(result.numpy(), output_value)
+
+    def test_speculate_get_seq_lens_output3(self):
+        input_values = [[1], [1], [0]]
+        output_value = 1
+        result = self.run_seq_lens(input_values)
+        np.testing.assert_allclose(result.numpy(), output_value)
+
+    def test_speculate_get_seq_lens_output4(self):
+        input_values = [[0], [1], [0]]
+        output_value = 0
+        result = self.run_seq_lens(input_values)
+        np.testing.assert_allclose(result.numpy(), output_value)
+
+
+if __name__ == "__main__":
+    unittest.main()