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[Bugfix] Fix mm_limits access for merged multi-modal processor (#12252)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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@ -106,7 +106,7 @@ class MultiModalProfiler(Generic[_I]):
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def dummy_inputs(self) -> BaseDummyInputsBuilder[_I]:
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return self.processor.dummy_inputs
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def _get_mm_limits(self) -> Mapping[str, int]:
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def get_mm_limits(self) -> Mapping[str, int]:
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mm_config = self.processing_info.ctx.get_mm_config()
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mm_limit_per_prompt = mm_config.limit_per_prompt
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@ -146,7 +146,7 @@ class MultiModalProfiler(Generic[_I]):
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# Avoid circular import
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from vllm.sequence import SequenceData
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mm_counts = self._get_mm_limits()
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mm_counts = self.get_mm_limits()
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info = self.processing_info
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mm_max_tokens_per_item = info.get_mm_max_tokens_per_item(seq_len)
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@ -17,7 +17,7 @@ from .image import ImagePlugin
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from .inputs import MultiModalDataDict, MultiModalKwargs, NestedTensors
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from .processing import (BaseMultiModalProcessor, BaseProcessingInfo,
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ProcessingCache)
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from .profiling import BaseDummyInputsBuilder
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from .profiling import BaseDummyInputsBuilder, MultiModalProfiler
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from .utils import cached_get_tokenizer
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from .video import VideoPlugin
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@ -282,13 +282,13 @@ class MultiModalRegistry:
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This is currently directly used only in V1 for profiling the memory
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usage of a model.
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"""
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limits_per_plugin = self._limits_by_model[model_config]
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mm_limits = self.get_mm_limits_per_prompt(model_config)
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return {
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key: max_tokens_per_mm_item
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for key, max_tokens_per_mm_item in
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self.get_max_tokens_per_item_by_modality(model_config).items()
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if limits_per_plugin[key] > 0
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if mm_limits[key] > 0
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}
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def get_max_tokens_by_modality(
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@ -304,10 +304,10 @@ class MultiModalRegistry:
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Note:
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This should be called after :meth:`init_mm_limits_per_prompt`.
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"""
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limits_per_plugin = self._limits_by_model[model_config]
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mm_limits = self.get_mm_limits_per_prompt(model_config)
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return {
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key: limits_per_plugin[key] * max_tokens_per_mm_item
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key: mm_limits[key] * max_tokens_per_mm_item
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for key, max_tokens_per_mm_item in
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self.get_max_tokens_per_item_by_modality(model_config).items()
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}
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@ -371,6 +371,15 @@ class MultiModalRegistry:
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Note:
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This should be called after :meth:`init_mm_limits_per_prompt`.
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"""
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if self.has_processor(model_config):
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tokenizer = cached_get_tokenizer(
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model_config.tokenizer,
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trust_remote_code=model_config.trust_remote_code,
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)
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processor = self.create_processor(model_config, tokenizer)
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profiler = MultiModalProfiler(processor)
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return profiler.get_mm_limits()
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return self._limits_by_model[model_config]
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def register_processor(
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