(base) orion-orion@MacBook-Pro ~ % docker images REPOSITORY TAG IMAGE ID CREATED SIZE docker/getting-started latest 157095baba98 4 weeks ago 27.4MB 4. 用Docker打包Python环境 接下来我们看如何用Docker打包一个Python环境。 首先,我们编写一个Python小Demo: import numpy as np import matplotlib.pyplot...
在整个 dockerfile 文件中,除了注释之外的第一行,要是 FROM,用于指定父镜像FROM ubuntu:14.04#带有 tag 的 base imageLABEL version=“1.0”#容器元信息,帮助信息,Metadata,类似于代码注释LABEL maintainer=“zouzou0214"#对于复杂的RUN命令,避免无用的分层,多条命令用反斜线换行,合成一条命令!RUN yum update && ...
通过docker build一个自定义的镜像,特别注意 命令后变动.“点”在当前文件下执行build命令时代表Dockerfile命令.如果在文件夹外部,需要讲点替换成带有正确路径的Dockerfile(目的是找到Dockerfile文件并读取文件内容). wxl@wxl-pc:~/Docker/wxlimage$docker build -t new/wxlimage:v1 . 2.4.从新创建的镜像中运行容...
https://github.com/docker-library/python Maintained by:the Docker Community This is the Git repo of theDocker "Official Image"forpython(not to be confused with any officialpythonimage provided bypythonupstream). Seethe Docker Hub pagefor the full readme on how to use this Docker image and fo...
docker build -f Dockerfile.ubuntu -t 'ubuntu-mat' . 1. 可以看到,编译好的镜像从原先的60mb暴涨到了263mb。 liuyue:blog liuyue$ docker images REPOSITORY TAG IMAGE ID CREATED SIZE ubuntu-mat latest 401f0425ce63 About a minute ago 263MB ...
imagesize, h5py, grpcio, ftfy, fsspec, frozenlist, frozendict, fonttools, filelock, entrypoints, editdistance, docutils, docker-pycreds, defusedxml, decorator, debugpy, cycler, colorama, click, cachetools, bleach, babel, attrs, attrdict, async-timeout, asttokens, absl-py, youtokentome, yarl...
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[dechin-root cplex]# docker images REPOSITORY TAG IMAGE ID CREATED SIZE cplex-py37 latest 34e272969701 About a minute ago 1.15GB 到这里,我们使用docker部署的cplex求解器的环境就已经完成了,下一步我们用真实的线性规划的问题来进行测试。 线性规划问题求解 上面的章节主要是为了展示基于docker的cplex环境...
delete lighthouse and package size benchmarks (#5230) 5天前 docker-example double down on bun over fnm/npm (#4906) 2个月前 docs Update translated docs (#5208) 5天前 reflex fail on using rxcond on event handlers or event spec (#5209) ...
将模型服务的代码和相关依赖打包构建成一个Docker镜像,并推送到阿里云ACR镜像仓库,然后基于该Docker镜像构建InferenceSpec,用于模型的部署。 frompai.modelimportInferenceSpec, container_serving_spec# 通过container_serving_spec方法,用户可以构建一个使用镜像服务模型的InferenceSpec。container_infer_spec = container_servin...