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[Bugfix] Merge MM embeddings by index instead of token IDs (#16229)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Signed-off-by: NickLucche <nlucches@redhat.com>
Signed-off-by: Roger Wang <hey@rogerw.io>
Co-authored-by: NickLucche <nlucches@redhat.com>
Co-authored-by: Roger Wang <hey@rogerw.io>
This commit is contained in:
Cyrus Leung
2025-09-27 16:15:12 +08:00
committed by GitHub
parent 176173989a
commit 27d7638b94
80 changed files with 966 additions and 1139 deletions
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25
vllm/model_executor/models/deepseek_vl2.py
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@@ -41,8 +41,7 @@ from vllm.utils.tensor_schema import TensorSchema, TensorShape
from .interfaces import MultiModalEmbeddings, SupportsMultiModal, SupportsPP
from .utils import (AutoWeightsLoader, WeightsMapper, flatten_bn,
init_vllm_registered_model, maybe_prefix,
merge_multimodal_embeddings)
init_vllm_registered_model, maybe_prefix)
# The image token id may be various
_IMAGE_TOKEN = "<image>"
@@ -346,7 +345,7 @@ class DeepseekVLV2ForCausalLM(nn.Module, SupportsMultiModal, SupportsPP):
model_config = vllm_config.model_config
tokenizer = cached_tokenizer_from_config(model_config)
self.image_token_id = tokenizer.vocab[_IMAGE_TOKEN]
self.image_token_id: int = tokenizer.vocab[_IMAGE_TOKEN]
self.vision = self._init_vision_module(self.vision_config,
quant_config,
@@ -605,19 +604,6 @@ class DeepseekVLV2ForCausalLM(nn.Module, SupportsMultiModal, SupportsPP):
vision_embeddings = self._process_image_input(image_input)
return vision_embeddings
def get_input_embeddings(
self,
input_ids: torch.Tensor,
multimodal_embeddings: Optional[MultiModalEmbeddings] = None,
) -> torch.Tensor:
inputs_embeds = self.language_model.get_input_embeddings(input_ids)
if multimodal_embeddings is not None \
and len(multimodal_embeddings) != 0:
inputs_embeds = merge_multimodal_embeddings(
input_ids, inputs_embeds, multimodal_embeddings,
self.image_token_id)
return inputs_embeds
def forward(self,
input_ids: torch.Tensor,
positions: torch.Tensor,
@@ -632,8 +618,11 @@ class DeepseekVLV2ForCausalLM(nn.Module, SupportsMultiModal, SupportsPP):
# condition is for v0 compatibility
elif inputs_embeds is None:
vision_embeddings = self.get_multimodal_embeddings(**kwargs)
inputs_embeds = self.get_input_embeddings(input_ids,
vision_embeddings)
inputs_embeds = self.get_input_embeddings(
input_ids,
vision_embeddings,
is_multimodal=input_ids == self.image_token_id,
)
input_ids = None
hidden_states = self.language_model(input_ids,