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[Misc] Clean up type annotation for SupportsMultiModal (#14794)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-03-14 15:59:56 +08:00
committed by GitHub
parent 09269b3127
commit 601bd3268e
27 changed files with 121 additions and 141 deletions
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7
vllm/model_executor/models/deepseek_vl2.py
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@@ -36,7 +36,7 @@ from vllm.transformers_utils.processors.deepseek_vl2 import (
from vllm.transformers_utils.tokenizer import cached_tokenizer_from_config
from vllm.utils import is_list_of
from .interfaces import SupportsMultiModal, SupportsPP
from .interfaces import MultiModalEmbeddings, SupportsMultiModal, SupportsPP
from .utils import (AutoWeightsLoader, WeightsMapper, flatten_bn,
init_vllm_registered_model, maybe_prefix,
merge_multimodal_embeddings)
@@ -605,8 +605,7 @@ class DeepseekVLV2ForCausalLM(nn.Module, SupportsMultiModal, SupportsPP):
pixel_values=pixel_values, images_spatial_crop=images_spatial_crop)
def get_multimodal_embeddings(
self, **kwargs: object
) -> Union[list[torch.Tensor], torch.Tensor, tuple[torch.Tensor, ...]]:
self, **kwargs: object) -> Optional[MultiModalEmbeddings]:
image_input = self._parse_and_validate_image_input(**kwargs)
if image_input is None:
return None
@@ -616,7 +615,7 @@ class DeepseekVLV2ForCausalLM(nn.Module, SupportsMultiModal, SupportsPP):
def get_input_embeddings(
self,
input_ids: torch.Tensor,
multimodal_embeddings: Optional[NestedTensors] = None,
multimodal_embeddings: Optional[MultiModalEmbeddings] = None,
) -> torch.Tensor:
inputs_embeds = self.language_model.get_input_embeddings(input_ids)
if multimodal_embeddings is not None: