模型训练 — 交个朋友

Python

import torch
print(torch.cuda.is_available()

pip install package -i https://pypi.tuna.tsinghua.edu.cn/simple --proxy=http://127.0.0.1:1080

sed -i 's/old_string/new_string/g' file.txt

top -m

docker stats | grep container_name > log.txt

# 每隔1秒显示一次
watch -n 1 nvidia-smi > log.txt

scp -r username@remote_ip:/path/to/file /local/path

nohup command > log.txt 2>&1 &

nvidia-smi

export http_proxy=http://127.0.0.1:1080
export https_proxy=http://127.0.0.1:1080

docker pull dockerproxy.cn/ubuntu:latest