can't use np>1

[Anna1ximi]

When I run the command: torchpack dist-run -np 4 python tools/train.py
configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/convfuser.yaml
--model.encoders.camera.backbone.init_cfg.checkpoint pretrained/swint-nuimages-pretrained.pth
--load_from pretrained/lidar-only-det.pth
--run-dir output/bev_result/ I get this problem: And when I want to train the camera-only variant for object detection, I get this: Does anyone know how to fix it？Thanks！

[quantumdotsss]

I think you need to provide more error info

[VanderBieu]

the number of np must match the number of gpus.

[Anna1ximi]

That's all the information, only a few lines. @quantumdotsss

[Anna1ximi]

I know, I adhere strictly to this point, but it always goes wrong. @VanderBieu

[Estrellama]

same question.

[Anna1ximi]

same question.

I started with the environment configuration all over again and it worked.

[ChirsHuanhuan]

same question when I run the test.py error: address already use

[huzhihen]

same question when I run the test.py error: address already use

Hello, I have also encountered this problem. Have you resolved it?