【Hackathon 9th No.42】add test_speculate_get_output_padding_offset

tests/operators/test_speculate_get_output_padding_offset.py

@@ -0,0 +1,53 @@
+# 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_output_padding_offset
+
+
+class TestSpeculateGetOutputPaddingOffset(unittest.TestCase):
+    def test_speculate_get_output_padding_offset(self):
+        bsz = 256
+        max_seq_len = 8192
+
+        seq_lens_output = np.random.randint(0, 4, size=bsz)
+        output_token_num = np.sum(seq_lens_output)
+
+        seq_lens_output = paddle.to_tensor(seq_lens_output, dtype="int32")
+        out_token_num = paddle.sum(seq_lens_output).astype("int32")
+        output_cum_offsets_tmp = paddle.cumsum(max_seq_len - seq_lens_output).astype("int32")
+
+        output_padding_offset_gpu, output_cum_offsets_gpu = speculate_get_output_padding_offset(
+            output_cum_offsets_tmp, out_token_num, seq_lens_output, max_seq_len
+        )
+
+        output_padding_offset_ref = [-1] * output_token_num
+        output_cum_offsets_ref = [-1] * bsz
+
+        for bi in range(bsz):
+            cum_offset = 0 if bi == 0 else output_cum_offsets_tmp[bi - 1]
+            output_cum_offsets_ref[bi] = cum_offset
+            for token_i in range(seq_lens_output[bi]):
+                output_padding_offset_ref[bi * max_seq_len - cum_offset + token_i] = cum_offset
+
+        np.testing.assert_allclose(output_padding_offset_gpu, output_padding_offset_ref)
+        np.testing.assert_allclose(output_cum_offsets_gpu, output_cum_offsets_ref)
+
+
+if __name__ == "__main__":
+    unittest.main()