Drop 0.11.0 support (#4377)

There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.


- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-11-24 17:08:20 +08:00
committed by GitHub
parent 41ddb06554
commit a1f142b7ad
80 changed files with 467 additions and 1755 deletions

View File

@@ -33,8 +33,6 @@ from vllm.v1.kv_cache_interface import KVCacheConfig
from vllm.v1.request import Request, RequestStatus
from vllm.v1.structured_output import StructuredOutputManager
from vllm_ascend.utils import vllm_version_is
class BudgetRefiner:
"""This budget refiner can make dynamic adjustment to the token budget
@@ -130,14 +128,9 @@ class SchedulerDynamicBatch(Scheduler):
include_finished_set: bool = False,
log_stats: bool = False,
) -> None:
if vllm_version_is("0.11.0"):
super().__init__(vllm_config, kv_cache_config,
structured_output_manager, mm_registry,
include_finished_set, log_stats)
else:
super().__init__(vllm_config, kv_cache_config,
structured_output_manager, block_size,
mm_registry, include_finished_set, log_stats)
super().__init__(vllm_config, kv_cache_config,
structured_output_manager, block_size, mm_registry,
include_finished_set, log_stats)
self.running: list[Request] = []
self.budget_refiner = BudgetRefiner(
default_budget=self.scheduler_config.max_num_batched_tokens,
@@ -540,14 +533,9 @@ class SchedulerDynamicBatch(Scheduler):
self.kv_cache_config.kv_cache_groups)
if self.running:
any_request = self.running[0]
if vllm_version_is("0.11.0"):
num_common_prefix_blocks = (
self.kv_cache_manager.get_num_common_prefix_blocks(
any_request, len(self.running)))
else:
num_common_prefix_blocks = (
self.kv_cache_manager.get_num_common_prefix_blocks(
any_request.request_id))
num_common_prefix_blocks = (
self.kv_cache_manager.get_num_common_prefix_blocks(
any_request.request_id))
# Construct the scheduler output.
new_reqs_data = [
NewRequestData.from_request(