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[Multi Modal] Configurable MM Profiling (#25631)

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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
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7
vllm/model_executor/models/idefics3.py
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@@ -26,6 +26,7 @@ from transformers import (BatchFeature, Idefics3Config, Idefics3ImageProcessor,
Idefics3Processor)
from vllm.config import VllmConfig
from vllm.config.multimodal import BaseDummyOptions
from vllm.model_executor.layers.linear import ReplicatedLinear
from vllm.model_executor.layers.logits_processor import LogitsProcessor
from vllm.model_executor.layers.quantization import QuantizationConfig
@@ -292,17 +293,21 @@ class Idefics3DummyInputsBuilder(BaseDummyInputsBuilder[Idefics3ProcessingInfo]
self,
seq_len: int,
mm_counts: Mapping[str, int],
mm_options: Optional[Mapping[str, BaseDummyOptions]] = None,
) -> MultiModalDataDict:
num_images = mm_counts.get("image", 0)
hf_processor = self.info.get_hf_processor()
image_processor: Idefics3ImageProcessor = hf_processor.image_processor
longest_edge = image_processor.max_image_size['longest_edge']
image_overrides = mm_options.get("image") if mm_options else None
return {
"image":
self._get_dummy_images(width=longest_edge,
height=longest_edge,
num_images=num_images)
num_images=num_images,
overrides=image_overrides)
}