209 lines
7.2 KiB
Python
209 lines
7.2 KiB
Python
"""
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Copyright 2023-2024 SGLang Team
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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"""DetokenizerManager is a process that detokenizes the token ids."""
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import dataclasses
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import logging
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from collections import OrderedDict
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from typing import List, Union
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import zmq
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from sglang.srt.hf_transformers_utils import get_tokenizer
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from sglang.srt.managers.io_struct import (
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BatchEmbeddingOut,
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BatchStrOut,
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BatchTokenIDOut,
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GetMemPoolSizeReqOutput,
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UpdateWeightReqOutput,
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)
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from sglang.srt.managers.schedule_batch import FINISH_MATCHED_STR, FINISH_MATCHED_TOKEN
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from sglang.srt.server_args import PortArgs, ServerArgs
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from sglang.srt.utils import configure_logger, get_zmq_socket, kill_parent_process
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from sglang.utils import find_printable_text, get_exception_traceback
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logger = logging.getLogger(__name__)
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@dataclasses.dataclass
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class DecodeStatus:
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"""Store the status of incremental decoding."""
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vid: int
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decoded_text: str
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decode_ids: List[int]
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surr_offset: int
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read_offset: int
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class DetokenizerManager:
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"""DetokenizerManager is a process that detokenizes the token ids."""
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def __init__(
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self,
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server_args: ServerArgs,
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port_args: PortArgs,
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):
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# Init inter-process communication
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context = zmq.Context(2)
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self.recv_from_scheduler = get_zmq_socket(
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context, zmq.PULL, port_args.detokenizer_ipc_name
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)
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self.send_to_tokenizer = get_zmq_socket(
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context, zmq.PUSH, port_args.tokenizer_ipc_name
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)
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if server_args.skip_tokenizer_init:
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self.tokenizer = None
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else:
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self.tokenizer = get_tokenizer(
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server_args.tokenizer_path,
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tokenizer_mode=server_args.tokenizer_mode,
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trust_remote_code=server_args.trust_remote_code,
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)
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self.decode_status = LimitedCapacityDict()
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def trim_eos(self, output: Union[str, List[int]], finished_reason, no_stop_trim):
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if no_stop_trim:
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return output
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# Trim stop str. TODO(lmzheng): handle the case where multiple stop strs are hit
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if isinstance(finished_reason, FINISH_MATCHED_STR) and isinstance(output, str):
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pos = output.find(finished_reason.matched)
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return output[:pos] if pos != -1 else output
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if isinstance(finished_reason, FINISH_MATCHED_TOKEN) and isinstance(
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output, list
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):
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assert len(output) > 0
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return output[:-1]
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return output
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def event_loop(self):
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"""The event loop that handles requests"""
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while True:
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recv_obj = self.recv_from_scheduler.recv_pyobj()
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if isinstance(recv_obj, BatchEmbeddingOut):
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# If it is embedding model, no detokenization is needed.
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self.send_to_tokenizer.send_pyobj(recv_obj)
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continue
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else:
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assert isinstance(recv_obj, BatchTokenIDOut)
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bs = len(recv_obj.rids)
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# Initialize decode status
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read_ids, surr_ids = [], []
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for i in range(bs):
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rid = recv_obj.rids[i]
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vid = recv_obj.vids[i]
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if rid not in self.decode_status or self.decode_status[rid].vid != vid:
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s = DecodeStatus(
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vid=vid,
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decoded_text=recv_obj.decoded_texts[i],
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decode_ids=recv_obj.decode_ids[i],
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surr_offset=0,
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read_offset=recv_obj.read_offsets[i],
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)
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self.decode_status[rid] = s
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else:
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s = self.decode_status[rid]
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s.decode_ids = recv_obj.decode_ids[i]
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read_ids.append(
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self.trim_eos(
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s.decode_ids[s.surr_offset :],
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recv_obj.finished_reason[i],
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recv_obj.no_stop_trim[i],
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)
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)
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surr_ids.append(s.decode_ids[s.surr_offset : s.read_offset])
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# TODO(lmzheng): handle skip_special_tokens/spaces_between_special_tokens per request
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surr_texts = self.tokenizer.batch_decode(
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surr_ids,
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skip_special_tokens=recv_obj.skip_special_tokens[0],
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spaces_between_special_tokens=recv_obj.spaces_between_special_tokens[0],
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)
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read_texts = self.tokenizer.batch_decode(
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read_ids,
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skip_special_tokens=recv_obj.skip_special_tokens[0],
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spaces_between_special_tokens=recv_obj.spaces_between_special_tokens[0],
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)
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# Incremental decoding
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output_strs = []
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for i in range(bs):
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s = self.decode_status[recv_obj.rids[i]]
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new_text = read_texts[i][len(surr_texts[i]) :]
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if recv_obj.finished_reason[i] is None:
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# Streaming chunk: update the decode status
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if len(new_text) > 0 and not new_text.endswith("<EFBFBD>"):
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s.decoded_text = s.decoded_text + new_text
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s.surr_offset = s.read_offset
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s.read_offset = len(s.decode_ids)
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new_text = ""
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else:
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new_text = find_printable_text(new_text)
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output_strs.append(
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self.trim_eos(
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s.decoded_text + new_text,
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recv_obj.finished_reason[i],
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recv_obj.no_stop_trim[i],
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)
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)
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self.send_to_tokenizer.send_pyobj(
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BatchStrOut(
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rids=recv_obj.rids,
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output_strs=output_strs,
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meta_info=recv_obj.meta_info,
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finished_reason=recv_obj.finished_reason,
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session_ids=recv_obj.session_ids,
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)
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)
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class LimitedCapacityDict(OrderedDict):
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def __init__(self, capacity=1 << 15, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.capacity = capacity
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def __setitem__(self, key, value):
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if len(self) >= self.capacity:
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# Remove the oldest element (first item in the dict)
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self.popitem(last=False)
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# Set the new item
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super().__setitem__(key, value)
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def run_detokenizer_process(
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server_args: ServerArgs,
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port_args: PortArgs,
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):
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configure_logger(server_args)
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try:
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manager = DetokenizerManager(server_args, port_args)
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manager.event_loop()
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except Exception:
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msg = get_exception_traceback()
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logger.error(msg)
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kill_parent_process()
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