[Fix] use torch.cat instead of torch.concat to prevent entering the Autograd backends. (#4466)

python/sglang/srt/models/deepseek_janus_pro.py

@@ -1289,7 +1289,7 @@ class MlpProjector(nn.Module):
             high_x, low_x = x_or_tuple
             high_x = self.high_up_proj(high_x)
             low_x = self.low_up_proj(low_x)
-            x = torch.concat([high_x, low_x], dim=-1)
+            x = torch.cat([high_x, low_x], dim=-1)
         else:
             x = x_or_tuple
 

python/sglang/srt/models/minicpmv.py

@@ -828,7 +828,7 @@ class MiniCPMVBaseModel(nn.Module):
                 )
 
             if isinstance(image_embeds, list):
-                image_embeds = torch.concat(image_embeds)
+                image_embeds = torch.cat(image_embeds)
 
             return MiniCPMVImageEmbeddingInputs(
                 image_bounds=image_bounds,