xinyun/vllm
1
0
Fork 0
mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2025-12-30 12:51:49 +08:00
Code Issues Packages Projects Releases Wiki Activity

[BugFix] lazy init _copy_stream to avoid torch init wrong gpu instance (#8403)

Browse Source
This commit is contained in:
WANGWEI 2024-09-13 01:47:42 +08:00 committed by GitHub
parent c6202daeed
commit 8a23e93302
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 5 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
vllm/worker/multi_step_model_runner.py
View File

@ -230,12 +230,15 @@ class MultiStepModelRunner(GPUModelRunnerBase[StatefulModelInput]):
self._base_model_runner: GPUModelRunnerBase = base_model_runner
self.is_multi_step = self.scheduler_config.is_multi_step
# used to copy tensors from GPU to CPU asynchronously
self._copy_stream = torch.cuda.Stream()
self.pinned_sampled_token_ids: Optional[torch.Tensor] = None
self.pythonization_cache = PythonizationCache()
@functools.cached_property
def _copy_stream(self):
# used to copy tensors from GPU to CPU asynchronously
return torch.cuda.Stream()
def make_model_input_from_broadcasted_tensor_dict(
self, tensor_dict: Dict[str, Any]) -> StatefulModelInput:
model_input = (StatefulModelInput.from_broadcasted_tensor_dict(