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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 5, 21:00 UTC

[CI] Add temperature=0.0, reduce max_tokens, and add debug prints to audio_in_video tests (#38492)

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

Andreas Karatzas committed Mar 30, 2026 at 00:36 UTC bea23536f627b2b4153f2e672753b6034b78dedb
1 file changed +18 -4
tests/entrypoints/openai/chat_completion/test_audio_in_video.py
+18 -4
@@ -64,11 +64,12 @@ async def test_online_audio_in_video(
64 ]
65
66 # multi-turn to test mm processor cache as well
67 - for _ in range(2):
67 + for turn in range(2):
68 chat_completion = await client.chat.completions.create(
69 model=MODEL_NAME,
70 messages=messages,
71 - max_tokens=16,
71 + max_tokens=8,
72 + temperature=0.0,
73 extra_body={
74 "mm_processor_kwargs": {
75 "use_audio_in_video": True,
@@ -78,6 +79,12 @@ async def test_online_audio_in_video(
79
80 assert len(chat_completion.choices) == 1
81 choice = chat_completion.choices[0]
82 + print(
83 + f"[DEBUG][single-video] turn={turn} "
84 + f"finish_reason={choice.finish_reason!r} "
85 + f"content={choice.message.content!r} "
86 + f"usage={chat_completion.usage}"
87 + )
88 assert choice.finish_reason == "length"
89
90
@@ -111,11 +118,12 @@ async def test_online_audio_in_video_multi_videos(
118 ]
119
120 # multi-turn to test mm processor cache as well
114 - for _ in range(2):
121 + for turn in range(2):
122 chat_completion = await client.chat.completions.create(
123 model=MODEL_NAME,
124 messages=messages,
118 - max_tokens=16,
125 + max_tokens=8,
126 + temperature=0.0,
127 extra_body={
128 "mm_processor_kwargs": {
129 "use_audio_in_video": True,
@@ -125,6 +133,12 @@ async def test_online_audio_in_video_multi_videos(
133
134 assert len(chat_completion.choices) == 1
135 choice = chat_completion.choices[0]
136 + print(
137 + f"[DEBUG][multi-video] turn={turn} "
138 + f"finish_reason={choice.finish_reason!r} "
139 + f"content={choice.message.content!r} "
140 + f"usage={chat_completion.usage}"
141 + )
142 assert choice.finish_reason == "length"
143
144