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I have many projects with shared large packages such as pytorch(4G+). Every time I create a new project I need to install it. It wastes time and disk space. Is there any way to share these large packages like maven(java) or docker.
Java's maven is project based-- it manage each projects indenpendently. But all the dependents(jars) are stored centrally in .m2. So If project A and project B share exactly the same version of a lib, There is only one copy of this jar file.
I tried and searched many python package manager tools: pip,conda,pipenv,poetry,PDM. No of them has this features. A similar issue can be found pypa/packaging-problems#328. But I can't find solution there.
The text was updated successfully, but these errors were encountered:
I have many projects with shared large packages such as pytorch(4G+). Every time I create a new project I need to install it. It wastes time and disk space. Is there any way to share these large packages like maven(java) or docker.
Java's maven is project based-- it manage each projects indenpendently. But all the dependents(jars) are stored centrally in .m2. So If project A and project B share exactly the same version of a lib, There is only one copy of this jar file.
I tried and searched many python package manager tools: pip,conda,pipenv,poetry,PDM. No of them has this features. A similar issue can be found pypa/packaging-problems#328. But I can't find solution there.
The text was updated successfully, but these errors were encountered: