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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 12, 06:00 UTC

[CI][AMD] spec_decode:eagle skip FLASH_ATTN for deepseek on ROCm (#29827)

Signed-off-by: Divakar Verma <divakar.verma@amd.com>

Divakar Verma committed Dec 1, 2025 at 23:27 UTC e2fbfc955e1bc9f67c349c5a2bde63a3edd86b84
1 file changed +4 -1
tests/v1/e2e/test_spec_decode.py
+4 -1
@@ -414,7 +414,10 @@ def test_eagle_correctness(
414 )
415
416 if attn_backend == "FLASH_ATTN" and current_platform.is_rocm():
417 - m.setenv("VLLM_ROCM_USE_AITER", "1")
417 + if "deepseek" in model_setup[1].lower():
418 + pytest.skip("FLASH_ATTN for deepseek not supported on ROCm platform")
419 + else:
420 + m.setenv("VLLM_ROCM_USE_AITER", "1")
421
422 method, model_name, spec_model_name, tp_size = model_setup
423 max_model_len = 2048