Deprecate global_server_args_dict (#11331)

python/sglang/srt/models/gpt_oss.py

@@ -63,13 +63,13 @@ from sglang.srt.layers.vocab_parallel_embedding import (
     ParallelLMHead,
     VocabParallelEmbedding,
 )
-from sglang.srt.managers.schedule_batch import global_server_args_dict
 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.models.utils import (
     create_fused_set_kv_buffer_arg,
     enable_fused_set_kv_buffer,
 )
+from sglang.srt.server_args import get_global_server_args
 from sglang.srt.utils import (
     LazyValue,
     add_prefix,
@@ -138,7 +138,7 @@ class GptOssSparseMoeBlock(nn.Module):
             }
         self.experts = experts_type(
             num_experts=config.num_local_experts
-            + global_server_args_dict["ep_num_redundant_experts"],
+            + get_global_server_args().ep_num_redundant_experts,
             top_k=config.num_experts_per_tok,
             layer_id=layer_id,
             hidden_size=config.hidden_size,
@@ -259,7 +259,7 @@ class GptOssAttention(nn.Module):
 
         # Choose dtype of sinks based on attention backend: trtllm_mha requires float32,
         # others can use bfloat16
-        attn_backend = global_server_args_dict.get("attention_backend")
+        attn_backend = get_global_server_args().attention_backend
         sinks_dtype = torch.float32 if attn_backend == "trtllm_mha" else torch.bfloat16
         self.sinks = nn.Parameter(
             torch.empty(self.num_heads, dtype=sinks_dtype), requires_grad=False
@@ -591,7 +591,7 @@ class GptOssForCausalLM(nn.Module):
             config.hidden_size,
             # quant_config=quant_config,
             prefix=add_prefix("lm_head", prefix),
-            use_attn_tp_group=global_server_args_dict["enable_dp_lm_head"],
+            use_attn_tp_group=get_global_server_args().enable_dp_lm_head,
         )
         self.logits_processor = LogitsProcessor(config)
         self.capture_aux_hidden_states = False