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c7ffe93d9c
Signed-off-by: Shinichi Hemmi <shemmi@preferred.jp> Signed-off-by: Shinichi Hemmi <50256998+Alnusjaponica@users.noreply.github.com> Co-authored-by: Calvin Metzger <metzger@preferred.jp> Co-authored-by: Sixue Wang <cecilwang@preferred.jp>
32 lines
957 B
Python
32 lines
957 B
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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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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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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