xinyun/vllm
1
0
Fork 0
mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2026-04-06 22:17:13 +08:00
Code Issues Packages Projects Releases Wiki Activity

config format

Browse Source 
Signed-off-by: Sage Moore <sage@neuralmagic.com>
This commit is contained in:
Sage Moore 2025-06-02 19:13:27 +00:00
parent 92e0cc79a8
commit 44a595f6d6
1 changed files with 12 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
vllm/config.py
View File

@ -1740,14 +1740,14 @@ class ParallelConfig:
rank: int = 0
"""Global rank in distributed setup."""
enable_microbatching: bool = False
"""Enable microbatching for the model executor."""
always_microbatch_if_enabled: bool = True
"""Always microbatch if microbatching is enabled. Easier to sync bewteen
"""Always microbatch if microbatching is enabled. Easier to sync between
dp workers."""
microbatching_token_threshold: int = 4
"""The threshold for microbatching. If the number of tokens in the
request is greater than this threshold, microbatching will be used.
@ -4324,16 +4324,16 @@ class VllmConfig:
"full_cuda_graph is not supported with "
"cascade attention. Disabling cascade attention.")
self.model_config.disable_cascade_attn = True
if self.parallel_config.enable_microbatching:
if self.parallel_config.enable_microbatching and \
self.compilation_config.level >= CompilationLevel.PIECEWISE:
# Microbatching is not supported with piecewise compilation yet.
# More specifically piecewise cuda-graphs
if self.compilation_config.level >= CompilationLevel.PIECEWISE:
logger.warning_once(
"Piecewise compilation is not supported with "
"microbatching. Disabling piecewiseching compilation.")
self.compilation_config.level = CompilationLevel.NO_COMPILATION
logger.warning_once(
"Piecewise compilation is not supported with "
"microbatching. Disabling piecewiseching compilation.")
self.compilation_config.level = CompilationLevel.NO_COMPILATION
if self.model_config and self.model_config.use_mla and \
not (current_platform.is_cuda() or current_platform.is_rocm()):