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[V1] V1 Enablement Oracle (#13726)

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Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: Nicolò Lucchesi <nlucches@redhat.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
This commit is contained in:
Robert Shaw
2025-03-15 01:02:20 -04:00
committed by GitHub
parent 8c0d15d5c5
commit d4d93db2c5
96 changed files with 1537 additions and 512 deletions
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7
tests/quantization/test_fp8.py
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@@ -47,7 +47,9 @@ KV_CACHE_MODELS = [
@pytest.mark.skipif(not is_quant_method_supported("fp8"),
reason="FP8 is not supported on this GPU type.")
@pytest.mark.parametrize("model_id", KV_CACHE_MODELS)
def test_kv_cache_model_load_and_run(vllm_runner, model_id: str):
def test_kv_cache_model_load_and_run(vllm_runner, model_id: str, monkeypatch):
# vllm_runner.apply_model() relies on V0 internals.
monkeypatch.setenv("VLLM_USE_V1", "0")
with vllm_runner(model_id, kv_cache_dtype="fp8") as llm:
def check_model(model):
@@ -86,6 +88,9 @@ def test_kv_cache_model_load_and_run(vllm_runner, model_id: str):
@pytest.mark.parametrize("force_marlin", [False, True])
def test_load_fp16_model(vllm_runner, kv_cache_dtype: str, force_marlin: bool,
monkeypatch) -> None:
# vllm_runner.apply_model() relies on V0 internals.
monkeypatch.setenv("VLLM_USE_V1", "0")
if force_marlin:
monkeypatch.setenv("VLLM_TEST_FORCE_FP8_MARLIN", "1")