[Multi Modal] Configurable MM Profiling (#25631)

Signed-off-by: wwl2755 <wangwenlong2755@gmail.com>
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Wenlong Wang
2025-10-03 03:59:10 -07:00
committed by GitHub
parent 2ed3f20dba
commit 79aa244678
60 changed files with 654 additions and 99 deletions

View File

@@ -12,6 +12,8 @@ from mistral_common.protocol.instruct.request import ChatCompletionRequest
from PIL import Image
from vllm.config import ModelConfig
from vllm.config.multimodal import (AudioDummyOptions, BaseDummyOptions,
ImageDummyOptions, VideoDummyOptions)
from vllm.multimodal import MULTIMODAL_REGISTRY, MultiModalDataDict
from vllm.multimodal.cache import MultiModalProcessorOnlyCache
from vllm.multimodal.inputs import MultiModalInputs
@@ -112,12 +114,26 @@ def _test_processing_correctness(
processing_info = factories.info(ctx)
supported_mm_limits = processing_info.get_supported_mm_limits()
limit_mm_per_prompt = {
# Keep integer limits for local data generation
limit_mm_per_prompt_ints = {
modality: 3 if limit is None else limit
for modality, limit in supported_mm_limits.items()
}
model_config.get_multimodal_config().limit_per_prompt = limit_mm_per_prompt
def _to_dummy_options(modality: str, count: int) -> BaseDummyOptions:
if modality == "video":
return VideoDummyOptions(count=count)
if modality == "image":
return ImageDummyOptions(count=count)
if modality == "audio":
return AudioDummyOptions(count=count)
return BaseDummyOptions(count=count)
# Assign normalized DummyOptions to the model config
model_config.get_multimodal_config().limit_per_prompt = {
modality: _to_dummy_options(modality, count)
for modality, count in limit_mm_per_prompt_ints.items()
}
baseline_processor = factories.build_processor(ctx, cache=None)
cached_processor = factories.build_processor(ctx, cache=cache)
@@ -150,7 +166,7 @@ def _test_processing_correctness(
k:
[(input_to_hit[k] if rng.rand() < hit_rate else input_factory[k]())
for _ in range(rng.randint(limit + 1))]
for k, limit in limit_mm_per_prompt.items()
for k, limit in limit_mm_per_prompt_ints.items()
}
mm_counts = {k: len(vs) for k, vs in mm_data.items()}