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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, 21:45 UTC

[ci] Update rtol for test_classification (#36556)

Signed-off-by: angelayi <yiangela7@gmail.com> Co-authored-by: Richard Zou <zou3519@users.noreply.github.com>

Angela Yi committed Mar 11, 2026 at 03:08 UTC 13e79fc8111b9eb3a2a5a367ea08f5d7fbf57281
1 file changed +3 -1
tests/models/language/pooling/test_classification.py
+3 -1
@@ -45,5 +45,7 @@ def test_models(
45 # half datatype tests in
46 # tests/models/language/pooling/test_embedding.py
47 assert torch.allclose(
48 - hf_output, vllm_output, 1e-3 if dtype == "float" else 1e-2
48 + hf_output,
49 + vllm_output,
50 + rtol=2e-3 if dtype == "float" else 1e-2,
51 )