chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,311 @@
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from __future__ import annotations
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import logging
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import time
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from concurrent import futures
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from typing import TYPE_CHECKING, List
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import torch
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from sglang.srt.constrained.base_grammar_backend import (
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InvalidGrammarObject,
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create_grammar_backend,
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)
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from sglang.srt.constrained.reasoner_grammar_backend import ReasonerGrammarObject
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from sglang.srt.distributed.communication_tags import P2PTag
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from sglang.srt.environ import envs
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if TYPE_CHECKING:
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from sglang.srt.managers.io_struct import AbortReq
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from sglang.srt.managers.schedule_batch import Req
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from sglang.srt.managers.scheduler import Scheduler
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logger = logging.getLogger(__name__)
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class GrammarManager:
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def __init__(self, scheduler: Scheduler):
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self.scheduler = scheduler
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self.server_args = scheduler.server_args
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self.grammar_queue: List[Req] = []
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if not self.server_args.skip_tokenizer_init:
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self.grammar_backend = create_grammar_backend(
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self.server_args,
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scheduler.tokenizer,
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scheduler.model_config.vocab_size,
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scheduler.model_config.hf_eos_token_id,
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think_end_id=scheduler.model_config.think_end_id,
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)
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else:
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self.grammar_backend = None
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self._enable_strict_thinking = (
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self.grammar_backend.enable_strict_thinking
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if self.grammar_backend is not None
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else False
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)
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self.grammar_sync_group = scheduler.dp_tp_cpu_group
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self.grammar_sync_size = scheduler.dp_tp_group.world_size
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self.grammar_sync_entry = scheduler.dp_tp_group.first_rank
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self.is_grammar_sync_entry = scheduler.dp_tp_group.is_first_rank
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self.pp_rank = scheduler.ps.pp_rank
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self.pp_size = scheduler.ps.pp_size
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self.pp_group = scheduler.pp_group
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self.grammar_pp_sync_work_list = []
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self.SGLANG_GRAMMAR_POLL_INTERVAL = envs.SGLANG_GRAMMAR_POLL_INTERVAL.get()
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self.SGLANG_GRAMMAR_MAX_POLL_ITERATIONS = (
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envs.SGLANG_GRAMMAR_MAX_POLL_ITERATIONS.get()
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)
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def __len__(self):
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return len(self.grammar_queue)
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def clear(self):
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if self.grammar_backend:
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self.grammar_backend.reset()
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def has_waiting_grammars(self) -> bool:
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return len(self.grammar_queue) > 0
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def _drain_pp_sync_work(self):
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for p2p_work in self.grammar_pp_sync_work_list:
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p2p_work.work.wait()
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self.grammar_pp_sync_work_list.clear()
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def _pp_sync_ready_failed(
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self,
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ready_req_idxs: set[int],
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failed_req_idxs: set[int],
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) -> tuple[set[int], set[int]]:
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"""
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Synchronize ready/failed grammar request indexes across the PP pipeline.
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PP0 provides the data. Each later PP rank receives it from the previous
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rank and asynchronously forwards it to the next rank.
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"""
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if self.pp_size <= 1 or self.pp_group is None:
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return ready_req_idxs, failed_req_idxs
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self._drain_pp_sync_work()
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data = (ready_req_idxs, failed_req_idxs)
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if self.pp_rank > 0:
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data = self.pp_group.recv_object(
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src=self.pp_rank - 1,
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tag=P2PTag.GRAMMAR_PP_SYNC,
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)
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if self.pp_rank + 1 < self.pp_size:
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self.grammar_pp_sync_work_list.extend(
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self.pp_group.send_object(
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data,
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dst=self.pp_rank + 1,
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async_send=True,
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tag=P2PTag.GRAMMAR_PP_SYNC,
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)
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)
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return data
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def abort_requests(self, recv_req: AbortReq):
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for req in self.grammar_queue:
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if recv_req.abort_all or req.rid.startswith(recv_req.rid):
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logger.debug(f"Abort grammar queue request. {req.rid=}")
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if isinstance(req.grammar, futures.Future) and req.grammar:
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req.grammar.cancel()
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req.set_finish_with_abort("Aborted by AbortReq.")
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def _get_request_thinking_budget(self, req: Req) -> int | None:
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custom_params = req.sampling_params.custom_params
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if not isinstance(custom_params, dict):
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return None
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thinking_budget = custom_params.get("thinking_budget")
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return thinking_budget if isinstance(thinking_budget, int) else None
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def _apply_request_reasoning_budget(self, req: Req) -> None:
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thinking_budget = self._get_request_thinking_budget(req)
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if thinking_budget is None:
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return
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if isinstance(req.grammar, ReasonerGrammarObject):
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req.grammar.max_think_tokens = thinking_budget
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def process_req_with_grammar(self, req: Req) -> bool:
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# Init grammar cache for this request
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add_to_grammar_queue = False
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if (
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req.sampling_params.json_schema is not None
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or req.sampling_params.regex is not None
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or req.sampling_params.ebnf is not None
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or req.sampling_params.structural_tag is not None
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):
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if self.grammar_backend is None:
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error_msg = "Grammar-based generation (json_schema, regex, ebnf, structural_tag) is not supported when the server is launched with --grammar-backend none"
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req.set_finish_with_abort(error_msg)
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else:
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if req.sampling_params.json_schema is not None:
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key = ("json", req.sampling_params.json_schema)
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elif req.sampling_params.regex is not None:
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key = ("regex", req.sampling_params.regex)
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elif req.sampling_params.ebnf is not None:
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key = ("ebnf", req.sampling_params.ebnf)
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elif req.sampling_params.structural_tag:
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key = ("structural_tag", req.sampling_params.structural_tag)
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value, cache_hit = self.grammar_backend.get_cached_or_future_value(
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key, req.require_reasoning
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)
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req.grammar = value
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if not cache_hit:
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req.grammar_key = key
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add_to_grammar_queue = True
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else:
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if isinstance(
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value, InvalidGrammarObject
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): # We hit a cached invalid grammar.
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error_msg = (
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f"Failed to compile {key[0]} grammar: {value.error_message}"
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)
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req.set_finish_with_abort(error_msg)
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else:
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self._apply_request_reasoning_budget(req)
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elif self._enable_strict_thinking:
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grammar_obj = self.grammar_backend.init_strict_reasoning_grammar(
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req.require_reasoning
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)
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if grammar_obj is not None:
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req.grammar = grammar_obj
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self._apply_request_reasoning_budget(req)
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if add_to_grammar_queue:
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self.grammar_queue.append(req)
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return add_to_grammar_queue
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def get_ready_grammar_requests(self) -> List[Req]:
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"""
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Move requests whose grammar objects are ready from grammar_queue to waiting_queue.
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For PP0, DP/TP group rank i returns two sets ready_reqs_i,
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failed_reqs_i. ready_reqs_all = all_gather(ready_reqs_i) within
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PP0's DP/TP group. failed_reqs_all = all_gather(failed_reqs_i)
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within PP0's DP/TP group.
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ready_reqs = intersect(ready_reqs_all)
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failed_reqs = union(failed_reqs_all)
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PP0 then propagates the synced result to later PP ranks. Later PP
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ranks receive and apply the propagated ready/failed decision.
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"""
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assert self.grammar_backend
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ready_req_idxs: set[int] = set()
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failed_req_idxs: set[int] = set()
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if self.pp_rank == 0:
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# Poll for ready requests
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start_time = time.perf_counter()
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while time.perf_counter() - start_time < self.SGLANG_GRAMMAR_POLL_INTERVAL:
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for i, req in enumerate(self.grammar_queue):
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if i in ready_req_idxs:
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continue
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if (
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req.finished() or req.grammar is None
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): # It is aborted by AbortReq
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ready_req_idxs.add(i)
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continue
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assert isinstance(req.grammar, futures.Future), f"{req=}"
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if req.grammar.done():
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ready_req_idxs.add(i)
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if len(ready_req_idxs) == len(self.grammar_queue):
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break
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# Sleep a bit to avoid busy waiting
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time.sleep(self.SGLANG_GRAMMAR_POLL_INTERVAL / 10)
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# Check failed requests
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for i, req in enumerate(self.grammar_queue):
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if i not in ready_req_idxs:
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# grammar_wait_ct is only updated on PP0; later PP ranks
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# receive PP0's ready/failed decision through PP sync.
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self.grammar_queue[i].grammar_wait_ct += 1
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if (
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self.grammar_queue[i].grammar_wait_ct
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>= self.SGLANG_GRAMMAR_MAX_POLL_ITERATIONS
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):
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# Timeout after max poll iterations
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# The actual waiting time is SGLANG_GRAMMAR_MAX_POLL_ITERATIONS * max(SGLANG_GRAMMAR_POLL_INTERVAL, GPU_forward_batch_latency)
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failed_req_idxs.add(i)
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# Sync ready and failed requests across all TP ranks in PP0.
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if self.grammar_sync_size == 1:
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synced_ready_req_idxs = ready_req_idxs
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synced_failed_req_idxs = failed_req_idxs
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else:
|
||||
all_gather_output = [None] * self.grammar_sync_size
|
||||
torch.distributed.all_gather_object(
|
||||
all_gather_output,
|
||||
(ready_req_idxs, failed_req_idxs),
|
||||
group=self.grammar_sync_group,
|
||||
)
|
||||
synced_ready_req_idxs = set.intersection(
|
||||
*[x[0] for x in all_gather_output]
|
||||
)
|
||||
synced_failed_req_idxs = set.union(*[x[1] for x in all_gather_output])
|
||||
else:
|
||||
synced_ready_req_idxs = ready_req_idxs
|
||||
synced_failed_req_idxs = failed_req_idxs
|
||||
|
||||
# Propagate PP0's grammar queue decision to later PP ranks.
|
||||
(
|
||||
synced_ready_req_idxs,
|
||||
synced_failed_req_idxs,
|
||||
) = self._pp_sync_ready_failed(
|
||||
synced_ready_req_idxs,
|
||||
synced_failed_req_idxs,
|
||||
)
|
||||
|
||||
# Return ready requests
|
||||
return_reqs: List[Req] = []
|
||||
for i in synced_ready_req_idxs:
|
||||
req = self.grammar_queue[i]
|
||||
return_reqs.append(req)
|
||||
if req.finished() or req.grammar is None: # It is aborted by AbortReq
|
||||
continue
|
||||
|
||||
assert isinstance(req.grammar, futures.Future) and req.grammar_key
|
||||
try:
|
||||
req.grammar = req.grammar.result()
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Grammar compilation raised an exception: {e}, "
|
||||
f"grammar_key={req.grammar_key}"
|
||||
)
|
||||
req.grammar = InvalidGrammarObject(f"Grammar compilation failed: {e}")
|
||||
self.grammar_backend.set_cache(req.grammar_key, req.grammar.copy())
|
||||
self._apply_request_reasoning_budget(req)
|
||||
if isinstance(req.grammar, InvalidGrammarObject):
|
||||
error_msg = f"Failed to compile {req.grammar_key[0]} grammar: {req.grammar.error_message}"
|
||||
req.set_finish_with_abort(error_msg)
|
||||
|
||||
# Return failed requests
|
||||
for i in synced_failed_req_idxs:
|
||||
req = self.grammar_queue[i]
|
||||
return_reqs.append(req)
|
||||
|
||||
assert isinstance(req.grammar, futures.Future) and req.grammar_key
|
||||
req.grammar.cancel()
|
||||
self.grammar_backend.set_cache(
|
||||
req.grammar_key, InvalidGrammarObject("Grammar preprocessing timed out")
|
||||
)
|
||||
error_msg = f"Grammar preprocessing timed out: {req.grammar_key=}"
|
||||
req.set_finish_with_abort(error_msg)
|
||||
|
||||
# Remove finished requests from grammar_queue
|
||||
self.grammar_queue = [
|
||||
req
|
||||
for i, req in enumerate(self.grammar_queue)
|
||||
if i not in synced_ready_req_idxs and i not in synced_failed_req_idxs
|
||||
]
|
||||
return return_reqs
|
||||
Reference in New Issue
Block a user