[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>
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@@ -45,6 +45,7 @@ from vllm.attention.backends.registry import _Backend
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from vllm.attention.layer import (check_upstream_fa_availability,
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maybe_get_vit_flash_attn_backend)
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from vllm.config import VllmConfig
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from vllm.config.multimodal import BaseDummyOptions
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from vllm.distributed import parallel_state, tensor_model_parallel_all_gather
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from vllm.distributed import utils as dist_utils
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from vllm.logger import init_logger
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@@ -1034,6 +1035,7 @@ class Qwen2VLDummyInputsBuilder(BaseDummyInputsBuilder[Qwen2VLProcessingInfo]):
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self,
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seq_len: int,
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mm_counts: Mapping[str, int],
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mm_options: Optional[Mapping[str, BaseDummyOptions]] = None,
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) -> MultiModalDataDict:
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num_images = mm_counts.get("image", 0)
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num_videos = mm_counts.get("video", 0)
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@@ -1043,17 +1045,22 @@ class Qwen2VLDummyInputsBuilder(BaseDummyInputsBuilder[Qwen2VLProcessingInfo]):
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target_num_frames = \
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self.info.get_num_frames_with_most_features(seq_len, mm_counts)
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image_overrides = mm_options.get("image") if mm_options else None
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video_overrides = mm_options.get("video") if mm_options else None
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return {
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"image":
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self._get_dummy_images(width=target_width,
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height=target_height,
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num_images=num_images),
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num_images=num_images,
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overrides=image_overrides),
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"video":
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self._get_dummy_videos(
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width=target_width,
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height=target_height,
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num_frames=target_num_frames,
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num_videos=num_videos,
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overrides=video_overrides,
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)
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}
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