xinyun/vllm
1
0
Fork 0
mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2025-12-10 18:15:27 +08:00
Code Issues Packages Projects Releases Wiki Activity

[Bugfix] Fix torch.compile() error when using MultiprocessingGPUExecutor (#5229)

Browse Source
This commit is contained in:
zifeitong 2024-06-03 20:55:50 -07:00 committed by GitHub
parent f42a006b15
commit a58f24e590
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 3 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
vllm/executor/multiproc_gpu_executor.py
View File

@ -34,6 +34,9 @@ class MultiprocessingGPUExecutor(DistributedGPUExecutor):
# Ensure that VLLM_INSTANCE_ID is set, to be inherited by workers # Ensure that VLLM_INSTANCE_ID is set, to be inherited by workers
os.environ["VLLM_INSTANCE_ID"] = get_vllm_instance_id() os.environ["VLLM_INSTANCE_ID"] = get_vllm_instance_id()
# Disable torch async compiling which won't work with daemonic processes
os.environ["TORCHINDUCTOR_COMPILE_THREADS"] = "1"
from torch.cuda import device_count from torch.cuda import device_count
assert world_size <= device_count(), ( assert world_size <= device_count(), (
"please set tensor_parallel_size to less than max local gpu count") "please set tensor_parallel_size to less than max local gpu count")