woolpeeker

Evaluation consumes all memory and leads failure

5

I start a carla docker image, and copy the LAV code into the container. The RouteScenorio1 last around 2hours and exit with the message "RuntimeError: Timeout: Agent took too long...

I'm trying to extract data from the game and hope the vehicle and move by itself. Could you provide more information about the driving mode?

https://github.com/microsoft/DeepSpeed/blob/80f94c10c552ec79473775adb8902b210656ed76/deepspeed/runtime/engine.py#L1384 I wonder why we cannot use overlap_comm in zero1 to reduce more latency? Appreciate any reply.

### Describe the bug https://github.com/InternLM/InternEvo/blob/24180aa82a2c5b8f506b589beeabf2ec2dbfadc7/internlm/initialize/launch.py#L312 hard code a enable_qkv_fusion keyword into config.model ### Environment Skip ### Other information Skip