[ROCm][CI] Add ROCm attention backend support for EAGLE DP tests (#32363)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>
This commit is contained in:
Andreas Karatzas
2026-01-19 03:57:54 -06:00
committed by GitHub
parent 71832ba71e
commit c0a350ca73

View File

@@ -9,18 +9,40 @@ import pytest
from vllm import SamplingParams
from vllm.engine.arg_utils import AsyncEngineArgs
from vllm.platforms import current_platform
from vllm.sampling_params import RequestOutputKind
from vllm.v1.engine.async_llm import AsyncLLM
DP_SIZE = int(os.getenv("DP_SIZE", 2))
if current_platform.is_rocm():
ATTN_BACKENDS = ["ROCM_ATTN", "TRITON_ATTN", "FLEX_ATTENTION"]
else:
ATTN_BACKENDS = ["FLASH_ATTN"]
@pytest.mark.asyncio
async def test_run_eagle_dp(monkeypatch: pytest.MonkeyPatch):
# This test checks that running a model with and without eagle
# leads to identical tokens. This is only true in batch invariant mode
# (because the target model verifies all draft tokens in one big forward pass)
monkeypatch.setenv("VLLM_BATCH_INVARIANT", "1")
@pytest.mark.parametrize("attn_backend", ATTN_BACKENDS)
@pytest.mark.xfail(
current_platform.is_rocm(),
reason="Test may fail on ROCm until batch invariance is enabled."
"See: https://github.com/vllm-project/vllm/issues/27433",
strict=False,
)
async def test_run_eagle_dp(monkeypatch: pytest.MonkeyPatch, attn_backend: str):
if not current_platform.is_rocm():
# This test checks that running a model with and without eagle
# leads to identical tokens.
#
# NOTE: This is only true in batch invariant mode
# (because the target model verifies all draft tokens in one big
# forward pass)
#
# TODO[ROCm]: Test is passing on ROCm CI but may break in future.
# Enable batch invariance for ROCm when possible. See:
# https://github.com/vllm-project/vllm/issues/27433
monkeypatch.setenv("VLLM_BATCH_INVARIANT", "1")
target_model = "meta-llama/Llama-3.1-8B-Instruct"
draft_model = "yuhuili/EAGLE-LLaMA3.1-Instruct-8B"
@@ -34,7 +56,7 @@ async def test_run_eagle_dp(monkeypatch: pytest.MonkeyPatch):
data_parallel_backend="mp", # ray takes more time
trust_remote_code=True,
max_model_len=16384,
attention_config={"backend": "FLASH_ATTN"},
attention_config={"backend": attn_backend},
)
eagle_engine_args = replace(