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[3/N] Initialize MM components in context managers (I-L) (#32650)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2026-01-20 18:21:56 +08:00
committed by GitHub
parent 8be263c3fb
commit 7f1bcd18ff
10 changed files with 203 additions and 389 deletions
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28
vllm/model_executor/models/kanana_v.py
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@@ -586,16 +586,21 @@ class KananaVForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP)
config = vllm_config.model_config.hf_config
self.config = config
self.vision_model = CustomQwen2VLVE._from_config(config.vision_config)
self.abstractor = DynamicCAbstractor(
config.projector_config, num_input_tokens=self.vision_model.get_num_tokens()
)
self.language_model = init_vllm_registered_model(
vllm_config=vllm_config,
hf_config=config.text_config,
prefix=maybe_prefix(prefix, "model"),
architectures=["LlamaForCausalLM"],
)
with self._mark_tower_model(vllm_config, "image"):
self.vision_model = CustomQwen2VLVE._from_config(config.vision_config)
self.abstractor = DynamicCAbstractor(
config.projector_config,
num_input_tokens=self.vision_model.get_num_tokens(),
)
with self._mark_language_model(vllm_config):
self.language_model = init_vllm_registered_model(
vllm_config=vllm_config,
hf_config=config.text_config,
prefix=maybe_prefix(prefix, "model"),
architectures=["LlamaForCausalLM"],
)
self.make_empty_intermediate_tensors = (
self.language_model.make_empty_intermediate_tensors
)
@@ -718,9 +723,6 @@ class KananaVForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP)
visual_embeds = self.forward_projector(visual_features, image_metas=image_metas)
return visual_embeds
def get_language_model(self) -> torch.nn.Module:
return self.language_model
def embed_multimodal(self, **kwargs: object) -> MultiModalEmbeddings:
image_input = self._parse_and_validate_image_input(**kwargs)
if image_input is None: