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[Bugfix] Register VLLM_BATCH_INVARIANT in envs.py to fix spurious unknown env var warning (#35007)

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Signed-off-by: Ranran <1012869439@qq.com>
Signed-off-by: Ranran <hzz5361@psu.edu>
Signed-off-by: ran <hzz5361@psu.edu>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>
This commit is contained in:
Ranran
2026-03-23 17:31:14 -05:00
committed by GitHub
parent e85f8f0932
commit dc6908ac6a
30 changed files with 70 additions and 130 deletions
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4
tests/kernels/moe/test_grouped_topk.py
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@@ -8,7 +8,7 @@ Run `pytest tests/kernels/moe/test_grouped_topk.py`.
import pytest
import torch
import vllm.model_executor.layers.batch_invariant as batch_invariant
import vllm.envs as envs
from vllm.config import (
CompilationConfig,
VllmConfig,
@@ -69,7 +69,7 @@ def test_grouped_topk(
with set_current_vllm_config(vllm_config), monkeypatch.context() as m:
m.setenv("VLLM_USE_FUSED_MOE_GROUPED_TOPK", "0")
m.setattr(batch_invariant, "VLLM_BATCH_INVARIANT", True)
m.setattr(envs, "VLLM_BATCH_INVARIANT", True)
grouped_topk = GroupedTopk(
topk=topk,
renormalize=renormalize,