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[CI/Build] Add is_quant_method_supported to control quantization test configurations (#5253)

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Michael Goin
2024-06-12 12:58:02 -04:00
committed by GitHub
parent 8f89d72090
commit 3dd6853bc8
8 changed files with 30 additions and 68 deletions
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10
tests/quantization/test_fp8.py
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@@ -5,16 +5,12 @@ Run `pytest tests/quantization/test_fp8.py --forked`.
import pytest
import torch
from vllm.model_executor.layers.quantization import QUANTIZATION_METHODS
from tests.quantization.utils import is_quant_method_supported
from vllm.model_executor.layers.quantization.fp8 import Fp8LinearMethod
capability = torch.cuda.get_device_capability()
capability = capability[0] * 10 + capability[1]
@pytest.mark.skipif(
capability < QUANTIZATION_METHODS["fp8"].get_min_capability(),
reason="FP8 is not supported on this GPU type.")
@pytest.mark.skipif(not is_quant_method_supported("fp8"),
reason="FP8 is not supported on this GPU type.")
def test_load_fp16_model(vllm_runner) -> None:
with vllm_runner("facebook/opt-125m", quantization="fp8") as llm: