Gahow Wang
445e491123
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:
vllm/v1/core/sched/scheduler.py:
Replace fatal assert with graceful skip when KV transfer callback
arrives for an already-aborted request during PD disaggregated serving.
Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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# flake8: noqa
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"""Tests experts_int8 quantization startup and generation,
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doesn't test correctness
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"""
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import pytest
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from tests.quantization.utils import is_quant_method_supported
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from ..models.registry import HF_EXAMPLE_MODELS
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MODELS = ["ai21labs/Jamba-tiny-random", "pfnet/plamo-2-1b"]
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@pytest.mark.skipif(
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not is_quant_method_supported("experts_int8"),
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reason="ExpertsInt8 is not supported on this GPU type.",
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)
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["bfloat16"])
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@pytest.mark.parametrize("max_tokens", [4])
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def test_model_experts_int8_startup(
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hf_runner,
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vllm_runner,
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example_prompts,
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model: str,
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dtype: str,
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max_tokens: int,
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) -> None:
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model_info = HF_EXAMPLE_MODELS.find_hf_info(model)
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model_info.check_transformers_version(on_fail="skip")
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with vllm_runner(
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model,
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dtype=dtype,
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enforce_eager=True,
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quantization="experts_int8",
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allow_deprecated_quantization=True,
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) as vllm_model:
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vllm_model.generate_greedy(example_prompts, max_tokens)
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