[None][fix] avoid UnboundLocalError in CnnDailymail.compute_score

tensorrt_llm/evaluate/cnn_dailymail.py

@@ -65,6 +65,7 @@ def generate_samples(self) -> Iterable[tuple]:
 
     def compute_score(self, outputs: List[RequestOutput],
                       references: List[str]) -> float:
+        rouge1 = 0.0
         for beam_idx in range(len(outputs[0].outputs)):
             metrics = self.rouge.compute(
                 predictions=[output.outputs[0].text for output in outputs],

tests/unittest/others/test_cnn_dailymail_score.py

@@ -0,0 +1,26 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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 types import SimpleNamespace
+
+from tensorrt_llm.evaluate.cnn_dailymail import CnnDailymail
+
+
+def test_compute_score_with_no_beams_returns_zero() -> None:
+    # When outputs[0].outputs is empty the beam loop never runs; rouge1 was
+    # then returned while unbound, raising UnboundLocalError. It should now
+    # return the 0.0 default.
+    evaluator = CnnDailymail.__new__(CnnDailymail)  # skip heavy __init__
+    empty_request = SimpleNamespace(outputs=[])
+    assert evaluator.compute_score([empty_request], references=[]) == 0.0