减小Latex容器体积

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binary-husky 2023-10-06 11:44:10 +08:00
parent 89eec21f27
commit 02c270410c
2 changed files with 34 additions and 3 deletions

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@ -1,4 +1,28 @@
#【请修改完参数后删除此行】请在以下方案中选择一种然后删除其他的方案最后docker-compose up运行 | Please choose from one of these options below, delete other options as well as This Line ## ===================================================
# docker-compose.yml
## ===================================================
# 1. 请在以下方案中选择任意一种,然后删除其他的方案
# 2. 修改你选择的方案中的environment环境变量详情请见github wiki或者config.py
# 3. 选择一种暴露服务端口的方法,并对相应的配置做出修改:
# 【方法1: 适用于Linux很方便可惜windows不支持】与宿主的网络融合为一体这个是默认配置
# network_mode: "host"
# 【方法2: 适用于所有系统包括Windows和MacOS】端口映射把容器的端口映射到宿主的端口注意您需要先删除network_mode: "host",再追加以下内容)
# ports:
# - "12345:12345" # 注意12345必须与WEB_PORT环境变量相互对应
# 4. 最后`docker-compose up`运行
# 5. 如果希望使用显卡,请关注 LOCAL_MODEL_DEVICE 和 英伟达显卡运行时 选项
## ===================================================
# 1. Please choose one of the following options and delete the others.
# 2. Modify the environment variables in the selected option, see GitHub wiki or config.py for more details.
# 3. Choose a method to expose the server port and make the corresponding configuration changes:
# [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration
# network_mode: "host"
# [Method 2: Suitable for all systems including Windows and MacOS] Port mapping, mapping the container port to the host port (note that you need to delete network_mode: "host" first, and then add the following content)
# ports:
# - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.
# 4. Finally, run `docker-compose up`.
# 5. If you want to use a graphics card, pay attention to the LOCAL_MODEL_DEVICE and Nvidia GPU runtime options.
## ===================================================
## =================================================== ## ===================================================
## 【方案零】 部署项目的全部能力这个是包含cuda和latex的大型镜像。如果您网速慢、硬盘小或没有显卡则不推荐使用这个 ## 【方案零】 部署项目的全部能力这个是包含cuda和latex的大型镜像。如果您网速慢、硬盘小或没有显卡则不推荐使用这个
@ -39,10 +63,14 @@ services:
# count: 1 # count: 1
# capabilities: [gpu] # capabilities: [gpu]
# 与宿主的网络融合 # 【WEB_PORT暴露方法1: 适用于Linux】与宿主的网络融合
network_mode: "host" network_mode: "host"
# 不使用代理网络拉取最新代码 # 【WEB_PORT暴露方法2: 适用于所有系统】端口映射
# ports:
# - "12345:12345" # 12345必须与WEB_PORT相互对应
# 启动容器后运行main.py主程序
command: > command: >
bash -c "python3 -u main.py" bash -c "python3 -u main.py"

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FROM fuqingxu/python311_texlive_ctex:latest FROM fuqingxu/python311_texlive_ctex:latest
# 删除文档文件以节约空间
rm -rf /usr/local/texlive/2023/texmf-dist/doc
# 指定路径 # 指定路径
WORKDIR /gpt WORKDIR /gpt