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796bae07c5
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> Signed-off-by: Isotr0py <2037008807@qq.com> Signed-off-by: isotr0py <2037008807@qq.com> Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn> Co-authored-by: DarkLight1337 <tlleungac@connect.ust.hk> Co-authored-by: Isotr0py <2037008807@qq.com> Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn> Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
36 lines
1.1 KiB
Python
36 lines
1.1 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(not is_quant_method_supported("experts_int8"),
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reason="ExpertsInt8 is not supported on this GPU type.")
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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", [10])
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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(model, dtype=dtype,
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quantization="experts_int8") as vllm_model:
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vllm_model.generate_greedy(example_prompts, max_tokens)
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