【个人】服务器命令记录

docker run --name=yolo6.1.1 -itd --gpus all --restart=always -p 2299:22 liyz_ubuntu bash
bash Anaconda3-2022.05-Linux-x86_64.sh

首先利用dockerfile

FROM nvcr.io/nvidia/pytorch:21.10-py3

RUN apt update && apt install -y zip htop screen libgl1-mesa-glx

COPY requirements.txt .
RUN python -m pip install --upgrade pip
RUN pip uninstall -y torch torchvision torchtext
RUN pip install --no-cache -r requirements.txt albumentations wandb gsutil notebook
torch== 1.10.2+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

VOLUME ["/data1/home/liyuanzhou/ubuntu/volume"]

CMD echo "..end..."

CMD /bin/bash

下载

docker run -itd --name liyz_yolo --runtime=nvidia --ipc=host -p 3060:22 -v /data1/home/liyuanzhou/docker_code:/docker_code liyz_yolo:6.1 /bin/bash

2f95e2056991 liyz_yolo:6.1

ssh root@172.18.77.12 -p 3060

查看挂在路径 docker inspect id

进入容器

docker exec -it liyz_yolo bash

cd /docker_code/yolov5-6.1.1

---

kill

ps -ef | grep "train.py" | grep -v grep | awk '{print "kill -9 "$2}' | sh

python train.py