[Bugfix] Validate custom logits processor xargs for online serving (#27560)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
This commit is contained in:
Isotr0py
2025-11-06 00:53:33 +08:00
committed by GitHub
parent 6cae1e5332
commit 3f5a4b6473
18 changed files with 239 additions and 56 deletions

View File

@@ -33,6 +33,8 @@ Output: ' in the hands of the people.\n\nThe future of AI is in the'
------------------------------------------------------------
"""
from typing import Any
import torch
from vllm import LLM, SamplingParams
@@ -48,6 +50,16 @@ from vllm.v1.sample.logits_processor.builtin import process_dict_updates
class DummyLogitsProcessor(LogitsProcessor):
"""Fake logit processor to support unit testing and examples"""
@classmethod
def validate_params(cls, params: SamplingParams):
target_token: Any | None = params.extra_args and params.extra_args.get(
"target_token"
)
if target_token is not None and not isinstance(target_token, int):
raise ValueError(
f"target_token value {target_token} {type(target_token)} is not int"
)
def __init__(
self, vllm_config: VllmConfig, device: torch.device, is_pin_memory: bool
):
@@ -57,14 +69,17 @@ class DummyLogitsProcessor(LogitsProcessor):
return False
def update_state(self, batch_update: BatchUpdate | None):
def extract_extra_arg(params: SamplingParams) -> int | None:
self.validate_params(params)
return params.extra_args and params.extra_args.get("target_token")
process_dict_updates(
self.req_info,
batch_update,
# This function returns the LP's per-request state based on the
# request details, or None if this LP does not apply to the
# request.
lambda params, _, __: params.extra_args
and (params.extra_args.get("target_token")),
lambda params, _, __: extract_extra_arg(params),
)
def apply(self, logits: torch.Tensor) -> torch.Tensor:

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@@ -76,6 +76,14 @@ class WrappedPerReqLogitsProcessor(AdapterLogitsProcessor):
"""Example of wrapping a fake request-level logit processor to create a
batch-level logits processor"""
@classmethod
def validate_params(cls, params: SamplingParams):
target_token: Any | None = params.extra_args and params.extra_args.get(
"target_token"
)
if target_token is not None and not isinstance(target_token, int):
raise ValueError(f"target_token value {target_token} is not int")
def is_argmax_invariant(self) -> bool:
return False
@@ -101,13 +109,6 @@ class WrappedPerReqLogitsProcessor(AdapterLogitsProcessor):
)
if target_token is None:
return None
if not isinstance(target_token, int):
logger.warning(
"target_token value %s is not int; not applying logits"
" processor to request.",
target_token,
)
return None
return DummyPerReqLogitsProcessor(target_token)

View File

@@ -77,6 +77,14 @@ class WrappedPerReqLogitsProcessor(AdapterLogitsProcessor):
"""Example of overriding the wrapper class `__init__()` in order to utilize
info about the device type"""
@classmethod
def validate_params(cls, params: SamplingParams):
target_token = params.extra_args and params.extra_args.get("target_token")
if target_token is not None and not isinstance(target_token, int):
raise ValueError(
f"`target_token` has to be an integer, got {target_token}."
)
def __init__(
self, vllm_config: VllmConfig, device: torch.device, is_pin_memory: bool
):
@@ -113,13 +121,6 @@ class WrappedPerReqLogitsProcessor(AdapterLogitsProcessor):
is None
):
return None
if not isinstance(target_token, int):
logger.warning(
"target_token value %s is not int; not applying logits"
" processor to request.",
target_token,
)
return None
return DummyPerReqLogitsProcessor(target_token)