Depreate global_server_args_dict (#11528)

python/sglang/srt/layers/communicator.py

@@ -40,8 +40,9 @@ from sglang.srt.layers.moe import (
     get_moe_a2a_backend,
     should_use_flashinfer_cutlass_moe_fp4_allgather,
 )
-from sglang.srt.managers.schedule_batch import global_server_args_dict
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch
+from sglang.srt.server_args import get_global_server_args
+from sglang.srt.speculative.spec_info import SpeculativeAlgorithm
 from sglang.srt.utils import (
     get_bool_env_var,
     is_cuda,
@@ -168,7 +169,7 @@ class LayerScatterModes:
 
 
 def enable_moe_dense_fully_dp():
-    return global_server_args_dict["moe_dense_tp_size"] == 1
+    return get_global_server_args().moe_dense_tp_size == 1
 
 
 class LayerCommunicator:
@@ -314,7 +315,9 @@ class LayerCommunicator:
     def should_fuse_mlp_allreduce_with_next_layer(
         self, forward_batch: ForwardBatch
     ) -> bool:
-        speculative_algo = global_server_args_dict.get("speculative_algorithm", None)
+        speculative_algo = SpeculativeAlgorithm.from_string(
+            get_global_server_args().speculative_algorithm
+        )
         if (
             is_dp_attention_enabled()
             and speculative_algo is not None
@@ -333,7 +336,7 @@ class LayerCommunicator:
         static_conditions_met = (
             (not self.is_last_layer)
             and (self._context.tp_size > 1)
-            and global_server_args_dict.get("enable_flashinfer_allreduce_fusion", False)
+            and get_global_server_args().enable_flashinfer_allreduce_fusion
             and _is_flashinfer_available
         )
 
@@ -531,7 +534,7 @@ class CommunicateWithAllReduceAndLayerNormFn:
                 (_is_sm100_supported or _is_sm90_supported)
                 and _is_flashinfer_available
                 and hasattr(layernorm, "forward_with_allreduce_fusion")
-                and global_server_args_dict["enable_flashinfer_allreduce_fusion"]
+                and get_global_server_args().enable_flashinfer_allreduce_fusion
                 and hidden_states.shape[0] <= 4096
             ):
                 hidden_states, residual = layernorm.forward_with_allreduce_fusion(