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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 6, 13:15 UTC

[ROCm][CI] Add ROCM_EXTRA_ARGS to audio_in_video test server fixture (#37349)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>

Andreas Karatzas committed Mar 17, 2026 at 23:55 UTC 8b6325758cce5f9c36d38f2462edbd368b97a07c
1 file changed +2 -1
tests/entrypoints/openai/chat_completion/test_audio_in_video.py
+2 -1
@@ -9,7 +9,7 @@ import pytest
9 import pytest_asyncio
10
11 from tests.conftest import VideoTestAssets
12 -from tests.utils import RemoteOpenAIServer
12 +from tests.utils import ROCM_EXTRA_ARGS, RemoteOpenAIServer
13
14 MODEL_NAME = "Qwen/Qwen2.5-Omni-3B"
15
@@ -22,6 +22,7 @@ def server():
22 "--enforce-eager",
23 "--limit-mm-per-prompt",
24 json.dumps({"audio": 3, "video": 3}),
25 + *ROCM_EXTRA_ARGS,
26 ]
27
28 with RemoteOpenAIServer(