python 常用代码

目录查看环境路径查看python版本查看torch版本ls 时间排序并显示时间查看库安装路径 当一个库第2次安装时不再安装自动显示已安装路径当前目录cuda环境变量一行命令遍历所有环境查看是否安装vllmvscode 常用开发代码python -c 常用 for循环接收参数sh切换到当前目录opencv 调试可视化命令行测试python代码try代码查看环境路径查看python版本python -c import sys; print(Python路径:, sys.executable); print(Python版本:, sys.version)查看torch版本python -c import torch; print(cuda可用:, torch.cuda.is_available(), | cuda版本:, torch.version.cuda if torch.cuda.is_available() else 未安装)ls 时间排序并显示时间ls -lth --time-style%Y-%m-%d %H:%M:%S查看库安装路径 当一个库第2次安装时不再安装自动显示已安装路径pip install lmdb -i https://mirrors.ivolces.com/pypi/simple/当前目录current_working_dir os.getcwd() print(f当前进程工作目录: {current_working_dir})cuda环境变量os.environ[CUDA_VISIBLE_DEVICES] 2 export CUDA_VISIBLE_DEVICES2 device cuda:1 modelmodel.to(device)一行命令遍历所有环境查看是否安装vllmconda env list | grep -v ^# | grep -v ^$ | while read line; do env$(echo $line | awk {print $1}); if [[ $env /* ]]; then version$(conda list -p $env 2/dev/null | grep vllm | awk {print $2}); if [ -n $version ]; then echo 路径 $env: vLLM $version ✅; fi else version$(conda list -n $env 2/dev/null | grep vllm | awk {print $2}); if [ -n $version ]; then echo $env: vLLM $version ✅; fi fi; done conda env list | grep -v ^# | grep -v ^$ | while read line; do env$(echo $line | awk {print $1}); if [[ $env /* ]]; then echo -n 路径 $env: ; conda list -p $env 2/dev/null | grep -q vllm echo ✅ 已安装 || echo ❌ 未安装; else echo -n $env: ; conda list -n $env 2/dev/null | grep -q vllm echo ✅ 已安装 || echo ❌ 未安装; fi; donevscode 常用开发代码# codingutf-8 import sys import os current_dir os.path.dirname(os.path.abspath(__file__)) os.chdir(current_dir) print(current_dir, current_dir) paths [current_dir, current_dir/../] paths.append(os.path.join(current_dir, src)) for path in paths: sys.path.insert(0, path) os.environ[PYTHONPATH] (os.environ.get(PYTHONPATH, ) : path).strip(:) import cv2 import torchpython -c 常用 for循环python -c import sys, os; paths [/shared_disk/users/lbg/project/4d/plf/libs, your_path_2]; [sys.path.insert(0, path) or os.environ.update({PYTHONPATH: (os.environ.get(PYTHONPATH, ) : path).strip(:)}) for path in paths];import posepile; print(posepile.__path__[0])接收参数FLAGS argparse.Namespace() def initialize(): parser argparse.ArgumentParser() parser.add_argument(--input-model-path, typestr,default/shared_disk/datasets/public_datasets/human_pose/experiments/finetune_0517) parser.add_argument(--config-name, typestr, defaultnlf_s) # parser.parse_args(namespaceFLAGS) args, unknown parser.parse_known_args(namespaceFLAGS)解析未知参数args, unknown_args parser.parse_known_args()sh切换到当前目录cd $(dirname $0) cd $(dirname $(realpath $0))opencv 调试可视化import cv2;cv2.imshow(res,inf_cfg.mask_crop);cv2.waitKey()命令行测试python代码python -c import nvdiffrast.torch as dr; print(dr)try代码try: print(int(ss)) except Exception as e: print(代码报错) else: print(没有报错) finally: print(无论发生什么事情此处一定会执行) 1