[Model] Enable encoder DP for MiniCPM-V (#23948)

Signed-off-by: zjy0516 <riverclouds.zhu@qq.com>
Signed-off-by: Jiangyun Zhu <riverclouds.zhu@qq.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>

docs/configuration/optimization.md

@@ -175,7 +175,7 @@ Regardless, you need to set `mm_encoder_tp_mode="data"` in engine arguments to u
 Known supported models:
 
 - Llama4 (<gh-pr:18368>)
-- MiniCPM-V-4 (<gh-pr:23327>)
+- MiniCPM-V-2.5 or above (<gh-pr:23327>, <gh-pr:23948>)
 - Qwen2.5-VL (<gh-pr:22742>)
 - Step3 (<gh-pr:22697>)
 

vllm/model_executor/models/minicpmv.py

@@ -977,6 +977,8 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
     instantiated.
     """
 
+    supports_encoder_tp_data = True
+
     @classmethod
     def get_placeholder_str(cls, modality: str, i: int) -> Optional[str]:
         if modality.startswith("image"):
@@ -990,6 +992,7 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
         config = vllm_config.model_config.hf_config
         multimodal_config = vllm_config.model_config.multimodal_config
         quant_config = vllm_config.quant_config
+        self.use_data_parallel = multimodal_config.mm_encoder_tp_mode == "data"
         super().__init__()
         # All MiniCPM-V models disable `tie_word_embeddings` but
         # `PretrainedConfig.tie_word_embeddings` defaults to True; we cannot
@@ -1237,6 +1240,8 @@ class MiniCPMVBaseModel(nn.Module, SupportsMultiModal, SupportsPP):
 
 class MiniCPMV2_0(MiniCPMVBaseModel):
 
+    supports_encoder_tp_data = False
+
     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         super().__init__(vllm_config=vllm_config, prefix=prefix)
         assert self.version == (2, 0)
@@ -1351,9 +1356,12 @@ class MiniCPMV2_5(MiniCPMVBaseModel, SupportsLoRA):
         quant_config: Optional[QuantizationConfig],
         prefix: str = "",
     ) -> nn.Module:
-        model = Idefics2VisionTransformer(config.vision_config,
-                                          quant_config=quant_config,
-                                          prefix=prefix)
+        model = Idefics2VisionTransformer(
+            config.vision_config,
+            quant_config=quant_config,
+            prefix=prefix,
+            use_data_parallel=self.use_data_parallel,
+        )
         if self.config.drop_vision_last_layer:
             model.encoder.layers = model.encoder.layers[:-1]
         return model
@@ -1441,9 +1449,12 @@ class MiniCPMV2_6(MiniCPMVBaseModel, SupportsLoRA):
         quant_config: Optional[QuantizationConfig] = None,
         prefix: str = "",
     ) -> nn.Module:
-        model = Idefics2VisionTransformer(config.vision_config,
-                                          quant_config=quant_config,
-                                          prefix=prefix)
+        model = Idefics2VisionTransformer(
+            config.vision_config,
+            quant_config=quant_config,
+            prefix=prefix,
+            use_data_parallel=self.use_data_parallel,
+        )
         if self.config.drop_vision_last_layer:
             model.encoder.layers = model.encoder.layers[:-1]
         return model
@@ -1521,8 +1532,6 @@ class MiniCPMV4_0(MiniCPMVBaseModel, SupportsLoRA):
         ],
     }
 
-    supports_encoder_tp_data = True
-
     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         super().__init__(vllm_config=vllm_config, prefix=prefix)
         assert self.version == (4, 0)
@@ -1546,9 +1555,12 @@ class MiniCPMV4_0(MiniCPMVBaseModel, SupportsLoRA):
         prefix: str = "",
     ) -> nn.Module:
         quant_config = self._maybe_ignore_quant_config(quant_config)
-        model = Idefics2VisionTransformer(config.vision_config,
-                                          quant_config=quant_config,
-                                          prefix=prefix)
+        model = Idefics2VisionTransformer(
+            config.vision_config,
+            quant_config=quant_config,
+            prefix=prefix,
+            use_data_parallel=self.use_data_parallel,
+        )
         if self.config.drop_vision_last_layer:
             model.encoder.layers = model.encoder.layers[:-1]
         return model
@@ -1652,9 +1664,12 @@ class MiniCPMV4_5(MiniCPMVBaseModel, SupportsLoRA):
         prefix: str = "",
     ) -> nn.Module:
         quant_config = self._maybe_ignore_quant_config(quant_config)
-        model = Idefics2VisionTransformer(config.vision_config,
-                                          quant_config=quant_config,
-                                          prefix=prefix)
+        model = Idefics2VisionTransformer(
+            config.vision_config,
+            quant_config=quant_config,
+            prefix=prefix,
+            use_data_parallel=self.use_data_parallel,
+        )
         if self.config.drop_vision_last_layer:
             model.encoder.layers = model.encoder.layers[:-1]
         return model