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
When I run ./test_compute ../config_all/llama3-8B/1024.json directly, I got "Got bad cuda status: out of memory at line: 27/root/Nanoflow/pipeline/src/vortexData.cu".
Change the config model_configs.allocate_kv_data_batch to 100, I got Segmentation fault (core dumped). Then I change pipeline_configs to smaller, got Segmentation fault (core dumped) too.
I want to know if there are some rules on how to config it when using different kind of GPUs?
The text was updated successfully, but these errors were encountered:
When I run ./test_compute ../config_all/llama3-8B/1024.json directly, I got "Got bad cuda status: out of memory at line: 27/root/Nanoflow/pipeline/src/vortexData.cu".
Change the config model_configs.allocate_kv_data_batch to 100, I got Segmentation fault (core dumped). Then I change pipeline_configs to smaller, got Segmentation fault (core dumped) too.
I want to know if there are some rules on how to config it when using different kind of GPUs?
The text was updated successfully, but these errors were encountered: