mirror of
https://git.datalinker.icu/vllm-project/vllm.git
synced 2025-12-10 13:55:47 +08:00
94666612a9
Signed-off-by: Lucas Kabela <lucaskabela@meta.com> Signed-off-by: Lucas Kabela <lucasakabela@gmail.com>
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
import pytest
|
|
|
|
from vllm.compilation.counter import compilation_counter
|
|
from vllm.config.compilation import CompilationMode
|
|
|
|
|
|
# forked needed to workaround https://github.com/vllm-project/vllm/issues/21073
|
|
@pytest.mark.forked
|
|
def test_qwen2_5_vl_compilation(vllm_runner, monkeypatch):
|
|
"""Test that Qwen2.5-VL vision submodules are compiled.
|
|
|
|
This test verifies that the 3 vision submodules (Qwen2_5_VisionPatchEmbed,
|
|
Qwen2_5_VisionBlock, and Qwen2_5_VisionPatchMerger) are properly tagged
|
|
for compilation by checking that num_models_seen increases by at least 3.
|
|
"""
|
|
# Disable multiprocessing so that the counter is in the same process
|
|
monkeypatch.setenv("VLLM_ENABLE_V1_MULTIPROCESSING", "0")
|
|
|
|
with (
|
|
# NOTE: Qwen2.5-VL has 35 models in total - the LLM backend
|
|
# Vision Patch Embed, Vision Patch Merger, and then 32 Vision Blocks
|
|
# (one for each layer) - in the future, we should fix vLLM compilation
|
|
# logic to handle this case and only compile the Vision submodules once
|
|
# and reuse the compiled code for all layers
|
|
# See https://github.com/vllm-project/vllm/issues/27590
|
|
compilation_counter.expect(num_models_seen=35),
|
|
vllm_runner(
|
|
"Qwen/Qwen2.5-VL-3B-Instruct",
|
|
max_model_len=2048,
|
|
gpu_memory_utilization=0.7,
|
|
compilation_config={"mode": CompilationMode.VLLM_COMPILE},
|
|
) as _,
|
|
):
|
|
pass
|