You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Traceback (most recent call last):
File "/usr/local/bin/lmcache_vllm", line 5, in
from lmcache_vllm.script import main
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/init.py", line 4, in
from lmcache_vllm.vllm_injection import InitLMCacheEnvironment
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/vllm_injection.py", line 15, in
from lmcache_vllm.vllm_adapter import (lmcache_get_config,
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/vllm_adapter.py", line 32, in
LMCACHE_CUDA_STREAM = torch.cuda.Stream()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/torch/cuda/streams.py", line 35, in new
return super().new(cls, priority=priority, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: CUDA error: forward compatibility was attempted on non supported HW
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Device-side assertions were explicitly omitted for this error check; the error probably arose while initializing the DSA handlers.
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last):
File "/usr/local/bin/lmcache_vllm", line 5, in
from lmcache_vllm.script import main
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/init.py", line 4, in
from lmcache_vllm.vllm_injection import InitLMCacheEnvironment
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/vllm_injection.py", line 15, in
from lmcache_vllm.vllm_adapter import (lmcache_get_config,
File "/usr/local/lib/python3.12/dist-packages/lmcache_vllm/vllm_adapter.py", line 32, in
LMCACHE_CUDA_STREAM = torch.cuda.Stream()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/dist-packages/torch/cuda/streams.py", line 35, in new
return super().new(cls, priority=priority, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: CUDA error: forward compatibility was attempted on non supported HW
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Device-side assertions were explicitly omitted for this error check; the error probably arose while initializing the DSA handlers.
The text was updated successfully, but these errors were encountered: