fix dual stream bug (#10352)

python/sglang/srt/models/qwen2_moe.py

@@ -62,6 +62,7 @@ from sglang.srt.layers.vocab_parallel_embedding import (
     VocabParallelEmbedding,
 )
 from sglang.srt.managers.schedule_batch import global_server_args_dict
+from sglang.srt.model_executor.cuda_graph_runner import get_is_capture_mode
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch, PPProxyTensors
 from sglang.srt.model_loader.weight_utils import default_weight_loader
 from sglang.srt.two_batch_overlap import model_forward_maybe_tbo
@@ -194,7 +195,7 @@ class Qwen2MoeSparseMoeBlock(nn.Module):
     ) -> torch.Tensor:
         current_stream = torch.cuda.current_stream()
         self.alt_stream.wait_stream(current_stream)
-        shared_output = self._forward_shared_experts(hidden_states)
+        shared_output = self._forward_shared_experts(hidden_states.clone())
 
         with torch.cuda.stream(self.alt_stream):
             router_output = self._forward_router_experts(hidden_states)
@@ -217,6 +218,7 @@ class Qwen2MoeSparseMoeBlock(nn.Module):
             self.alt_stream is not None
             and hidden_states.shape[0] > 0
             and hidden_states.shape[0] <= DUAL_STREAM_TOKEN_THRESHOLD
+            and get_is_capture_mode()
         ):
             final_hidden_states, shared_output = self.forward_normal_dual_stream(
                 hidden_states