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Deprecate global_server_args_dict (#11331)

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Liangsheng Yin
2025-10-13 01:20:47 +08:00
committed by GitHub
parent 2157d12ae8
commit 1083e7e3df
54 changed files with 240 additions and 321 deletions
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50
python/sglang/srt/managers/schedule_batch.py
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@@ -72,7 +72,7 @@ from sglang.srt.metrics.collector import SchedulerMetricsCollector, TimeStats
from sglang.srt.model_executor.forward_batch_info import CaptureHiddenMode, ForwardMode
from sglang.srt.sampling.sampling_batch_info import SamplingBatchInfo
from sglang.srt.sampling.sampling_params import SamplingParams
from sglang.srt.server_args import ServerArgs
from sglang.srt.server_args import ServerArgs, get_global_server_args
from sglang.srt.utils import flatten_nested_list
from sglang.srt.utils.common import next_power_of_2
@@ -82,47 +82,6 @@ if TYPE_CHECKING:
INIT_INCREMENTAL_DETOKENIZATION_OFFSET = 5
GLOBAL_SERVER_ARGS_KEYS = [
"attention_backend",
"mm_attention_backend",
"debug_tensor_dump_inject",
"debug_tensor_dump_output_folder",
"chunked_prefill_size",
"device",
"disable_chunked_prefix_cache",
"disable_flashinfer_cutlass_moe_fp4_allgather",
"disable_radix_cache",
"enable_dp_lm_head",
"enable_fp32_lm_head",
"flashinfer_mxfp4_moe_precision",
"enable_flashinfer_allreduce_fusion",
"moe_dense_tp_size",
"ep_dispatch_algorithm",
"ep_num_redundant_experts",
"enable_nan_detection",
"flashinfer_mla_disable_ragged",
"pp_max_micro_batch_size",
"disable_shared_experts_fusion",
"sampling_backend",
"speculative_accept_threshold_single",
"speculative_accept_threshold_acc",
"speculative_attention_mode",
"torchao_config",
"triton_attention_reduce_in_fp32",
"num_reserved_decode_tokens",
"weight_loader_disable_mmap",
"enable_multimodal",
"enable_symm_mem",
"enable_custom_logit_processor",
"disaggregation_mode",
"enable_deterministic_inference",
"nsa_prefill",
"nsa_decode",
"multi_item_scoring_delimiter",
]
# Put some global args for easy access
global_server_args_dict = {k: getattr(ServerArgs, k) for k in GLOBAL_SERVER_ARGS_KEYS}
logger = logging.getLogger(__name__)
@@ -683,12 +642,9 @@ class Req:
def is_prefill_only(self) -> bool:
"""Check if this request is prefill-only (no token generation needed)."""
# NOTE: when spec is enabled, prefill_only optimizations are disabled
from sglang.srt.speculative.spec_info import SpeculativeAlgorithm
spec_alg = global_server_args_dict["speculative_algorithm"]
return self.sampling_params.max_new_tokens == 0 and (
spec_alg is None or spec_alg == SpeculativeAlgorithm.NONE
)
spec_alg = get_global_server_args().speculative_algorithm
return self.sampling_params.max_new_tokens == 0 and spec_alg is None
def add_latency(self, stage: RequestStage):
if self.metrics_collector is None: