@tduncan / Nvidia-Optimization-Stack-VLLM Mirror · read-only / commits / 3e49479c4b
Fork 0

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 4, 10:00 UTC

Limit concurrency on `test_transcription_api_correctness.py` (#41478)

Signed-off-by: Ekagra Ranjan <3116519+ekagra-ranjan@users.noreply.github.com>

Ekagra Ranjan committed May 1, 2026 at 23:19 UTC 3e49479c4b766a601804f0c6f5f1c9a3def5ad0c
1 file changed +4
tests/entrypoints/openai/correctness/test_transcription_api_correctness.py
+4
@@ -26,6 +26,9 @@ from vllm.tokenizers import get_tokenizer
26 from ....models.registry import HF_EXAMPLE_MODELS
27 from ....utils import RemoteOpenAIServer
28
29 +# Tuned to prevent OOM on 18GB GPUs in transcription correctness tests.
30 +MAX_SEQS_FOR_TRANSCRIPTION_TEST = 32
31 +
32
33 def to_bytes(y, sr):
34 buffer = io.BytesIO()
@@ -184,6 +187,7 @@ def test_wer_correctness(
187 server_args = [
188 "--enforce-eager",
189 f"--tokenizer_mode={model_info.tokenizer_mode}",
190 + f"--max_num_seqs={MAX_SEQS_FOR_TRANSCRIPTION_TEST}",
191 ]
192 if model_info.trust_remote_code:
193 server_args.append("--trust-remote-code")