Convert formatting to use ruff instead of yapf + isort (#26247)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-10-05 15:06:22 +01:00
committed by GitHub
parent 17edd8a807
commit d6953beb91
1508 changed files with 115244 additions and 94146 deletions

View File

@@ -2,9 +2,10 @@
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# flake8: noqa
"""Tests experts_int8 quantization startup and generation,
"""Tests experts_int8 quantization startup and generation,
doesn't test correctness
"""
import pytest
from tests.quantization.utils import is_quant_method_supported
@@ -14,8 +15,10 @@ from ..models.registry import HF_EXAMPLE_MODELS
MODELS = ["ai21labs/Jamba-tiny-random", "pfnet/plamo-2-1b"]
@pytest.mark.skipif(not is_quant_method_supported("experts_int8"),
reason="ExpertsInt8 is not supported on this GPU type.")
@pytest.mark.skipif(
not is_quant_method_supported("experts_int8"),
reason="ExpertsInt8 is not supported on this GPU type.",
)
@pytest.mark.parametrize("model", MODELS)
@pytest.mark.parametrize("dtype", ["bfloat16"])
@pytest.mark.parametrize("max_tokens", [10])
@@ -30,6 +33,5 @@ def test_model_experts_int8_startup(
model_info = HF_EXAMPLE_MODELS.find_hf_info(model)
model_info.check_transformers_version(on_fail="skip")
with vllm_runner(model, dtype=dtype,
quantization="experts_int8") as vllm_model:
with vllm_runner(model, dtype=dtype, quantization="experts_int8") as vllm_model:
vllm_model.generate_greedy(example_prompts, max_tokens)