【Hackathon 9th No.27】add test_get_padding_offset (#3708)

* add test_get_padding_offset

* fix

* fix

* fix

tests/operators/test_get_padding_offset.py

@@ -0,0 +1,56 @@
+# 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 get_padding_offset
+
+
+class TestGetPaddingOffset(unittest.TestCase):
+    def test_get_padding_offset(self):
+        max_len = 10
+        seq_lens = np.array([4, 3, 6], "int32").reshape(-1, 1)
+        cum_offset = np.cumsum((max_len - seq_lens).flatten(), -1, "int32")
+        token_num = np.sum(seq_lens)
+        input_ids = np.array(
+            [[8, 7, 8, 2, 0, 0, 0, 0, 0, 0], [4, 5, 5, 0, 0, 0, 0, 0, 0, 0], [7, 6, 1, 7, 2, 6, 0, 0, 0, 0]], "int64"
+        )
+        (
+            x_remove_padding,
+            batch_id_per_token,
+            cu_seqlens_q,
+            cu_seqlens_k,
+        ) = get_padding_offset(
+            paddle.to_tensor(input_ids),
+            paddle.to_tensor(cum_offset),
+            paddle.to_tensor(token_num),
+            paddle.to_tensor(seq_lens),
+        )
+
+        ref_x_remove_padding = np.array([8, 7, 8, 2, 4, 5, 5, 7, 6, 1, 7, 2, 6], "int64")
+        ref_batch_id_per_token = np.array([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2, 2, 2], "int32")
+        ref_cu_seqlens_q = np.array([0, 4, 7, 13], "int32")
+        ref_cu_seqlens_k = np.array([0, 4, 7, 13], "int32")
+
+        np.testing.assert_allclose(x_remove_padding.numpy(), ref_x_remove_padding)
+        np.testing.assert_allclose(batch_id_per_token.numpy(), ref_batch_id_per_token)
+        np.testing.assert_allclose(cu_seqlens_q.numpy(), ref_cu_seqlens_q)
+        np.testing.assert_allclose(cu_seqlens_k.numpy(), ref_cu_seqlens_k)
+
+
+if __name__ == "__main__":
+    unittest.main()