[Bugfix] Fix PaliGemma MMP (vllm-project#6930)

vllm/model_executor/models/paligemma.py

@@ -9,7 +9,6 @@
 from vllm.config import CacheConfig, MultiModalConfig
 from vllm.inputs import INPUT_REGISTRY, InputContext, LLMInputs
 from vllm.logger import init_logger
-from vllm.model_executor.layers.linear import ColumnParallelLinear
 from vllm.model_executor.layers.logits_processor import LogitsProcessor
 from vllm.model_executor.layers.quantization.base_config import (
     QuantizationConfig)
@@ -133,12 +132,10 @@ class PaliGemmaMultiModalProjector(nn.Module):
     def __init__(self, vision_hidden_size: int, projection_dim: int):
         super().__init__()
 
-        self.linear = ColumnParallelLinear(vision_hidden_size,
-                                           projection_dim,
-                                           bias=True)
+        self.linear = nn.Linear(vision_hidden_size, projection_dim, bias=True)
 
     def forward(self, image_features: torch.Tensor) -> torch.Tensor:
-        hidden_states, _ = self.linear(image_features)
+        hidden_states = self.linear(image_features)
         return hidden_states