| 1 | # SPDX-License-Identifier: Apache-2.0 |
| 2 | # SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | |
| 4 | import torch |
| 5 | |
| 6 | from vllm.model_executor.models.qwen3_asr import ( |
| 7 | Qwen3ASRForConditionalGeneration, |
| 8 | ) |
| 9 | from vllm.multimodal.inputs import MultiModalFeatureSpec, PlaceholderRange |
| 10 | |
| 11 | |
| 12 | def test_mrope_positions_with_stripped_audio_data() -> None: |
| 13 | input_tokens = list(range(7)) |
| 14 | feature = MultiModalFeatureSpec( |
| 15 | data=None, |
| 16 | modality="audio", |
| 17 | identifier="audio", |
| 18 | mm_position=PlaceholderRange(offset=2, length=3), |
| 19 | ) |
| 20 | |
| 21 | positions, delta = Qwen3ASRForConditionalGeneration.get_mrope_input_positions( |
| 22 | None, input_tokens, [feature] |
| 23 | ) |
| 24 | |
| 25 | expected = torch.arange(len(input_tokens), dtype=torch.long).expand(3, -1) |
| 26 | torch.testing.assert_close(positions, expected) |
| 27 | assert delta == 0 |