Move `global_server_args_dict` (#642)

python/sglang/srt/layers/radix_attention.py

@@ -7,8 +7,8 @@ from torch import nn
 from sglang.global_config import global_config
 from sglang.srt.layers.extend_attention import extend_attention_fwd
 from sglang.srt.layers.token_attention import token_attention_fwd
-from sglang.srt.managers.controller.infer_batch import global_server_args_dict
 from sglang.srt.managers.controller.model_runner import ForwardMode, InputMetadata
+from sglang.srt.server import global_server_args_dict
 
 
 class RadixAttention(nn.Module):

python/sglang/srt/layers/token_attention.py

@@ -5,7 +5,7 @@ import torch
 import triton
 import triton.language as tl
 
-from sglang.srt.managers.controller.model_runner import global_server_args_dict
+from sglang.srt.server import global_server_args_dict
 from sglang.srt.utils import wrap_kernel_launcher
 
 if global_server_args_dict.get("attention_reduce_in_fp32", False):

python/sglang/srt/managers/controller/infer_batch.py

@@ -16,9 +16,6 @@ from sglang.srt.memory_pool import ReqToTokenPool, TokenToKVPool
 
 INIT_INCREMENTAL_DETOKENIZATION_OFFSET = 5
 
-# Store some global server args
-global_server_args_dict = {}
-
 
 class ForwardMode(IntEnum):
     # Prefill a new sequence. This is deprecated now. "EXTEND" covers this case.

python/sglang/srt/managers/controller/model_runner.py

@@ -20,12 +20,7 @@ from vllm.model_executor.model_loader import get_model
 from vllm.model_executor.models import ModelRegistry
 
 from sglang.global_config import global_config
-from sglang.srt.managers.controller.infer_batch import (
-    Batch,
-    ForwardMode,
-    InputMetadata,
-    global_server_args_dict,
-)
+from sglang.srt.managers.controller.infer_batch import Batch, ForwardMode, InputMetadata
 from sglang.srt.memory_pool import ReqToTokenPool, TokenToKVPool
 from sglang.srt.server_args import ServerArgs
 from sglang.srt.utils import (
@@ -91,12 +86,6 @@ class ModelRunner:
                     "The memory capacity is unbalanced. Some GPUs may be occupied by other processes."
                 )
 
-        # Set some global args
-        global_server_args_dict["disable_flashinfer"] = server_args.disable_flashinfer
-        global_server_args_dict["attention_reduce_in_fp32"] = (
-            server_args.attention_reduce_in_fp32
-        )
-
         # Load the model and create memory pool
         self.load_model()
         self.init_memory_pool(total_gpu_memory)

python/sglang/srt/server.py

@@ -64,6 +64,9 @@ asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
 app = FastAPI()
 tokenizer_manager = None
 
+# Put some args for easily access
+global_server_args_dict = {}
+
 
 @app.get("/health")
 async def health() -> Response:
@@ -135,6 +138,14 @@ async def openai_v1_chat_completions(raw_request: Request):
     return await v1_chat_completions(tokenizer_manager, raw_request)
 
 
+def _set_global_server_args(server_args: ServerArgs):
+    global global_server_args_dict
+    global_server_args_dict = {
+        "disable_flashinfer": server_args.disable_flashinfer,
+        "attention_reduce_in_fp32": server_args.attention_reduce_in_fp32,
+    }
+
+
 def launch_server(server_args: ServerArgs, pipe_finish_writer, model_overide_args=None):
     global tokenizer_manager
 
@@ -163,6 +174,8 @@ def launch_server(server_args: ServerArgs, pipe_finish_writer, model_overide_arg
         # TODO: replace this with huggingface transformers template
         load_chat_template_for_openai_api(server_args.chat_template)
 
+    _set_global_server_args(server_args)
+
     # Allocate ports
     assert server_args.tp_size % server_args.nnodes == 0
     tp_size_local = server_args.tp_size // server_args.nnodes