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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 14, 05:30 UTC

[CI/Build] Fix disabled v1 attention backend selection test (#25471)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

Isotr0py committed Sep 23, 2025 at 21:05 UTC b6a136b58c10dde773045c471db762ed09fc7468
1 file changed +1 -2
tests/kernels/attention/test_attention_selector.py
+1 -2
@@ -67,7 +67,6 @@ def generate_params():
67 return params
68
69
70 -@pytest.mark.skip(reason="Skipped for now. Should be revisited.")
70 @pytest.mark.parametrize("device, name, use_mla, block_size",
71 generate_params())
72 def test_env(
@@ -189,7 +188,7 @@ def test_env(
188 # FlashMLA only supports block_size == 64
189 pytest.skip("FlashMLA only supports block_size 64")
190 else:
192 - from vllm.attention.backends.flashmla import (
191 + from vllm.v1.attention.backends.mla.flashmla import ( # noqa: E501
192 is_flashmla_supported)
193 is_supported, _ = is_flashmla_supported()
194 if not is_supported: