Reproducible machine learning with PyTorch and Quilt

Re:Reproducible machine learning with PyTorch and Quilt by infinity0 on Tuesday July 17, 2018 @04:15PM (#17552897)

A step in the right direction for machine learning in science, but they could have done some more research into naming conflicts:

$ apt-cache show quilt

Package: quilt

[..]

Description-en: Tool to work with series of patches

Quilt manages a series of patches by keeping track of the changes each of them makes. They are logically organized as a stack, and you can apply, un-apply, refresh them easily by traveling into the stack (push/pop). . Quilt is good for managing additional patches applied to a package received as a tarball or maintained in another version control system. The stacked organization is proven to be efficient for the management of very large patch sets (more than hundred patches). As matter of fact, it was designed by and for Linux kernel hackers (Andrew Morton, from the -mm branch, is the original author), and its main use by the current upstream maintainer is to manage the (hundreds of) patches against the kernel made for the SUSE distribution. . This package provides seamless integration into Debhelper or CDBS, allowing maintainers to easily add a quilt-based patch management system in their packages. The package also provides some basic support for those not using those tools. See README.Debian for more information.

$ zcat /usr/share/doc/quilt/changelog.gz | tail -n3

Version 0.26 (Tue Oct 21 2003) - Change summary not available

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Re:Reproducible machine learning with PyTorch and Quilt by akarve on Thursday July 19, 2018 @09:35PM (#17571800)

i hear you. on pypi the name is uncontested so, at least in the python eco-system, there is only one quilt. that said, for future revisions we'll try for a unique name because it can indeed be confusing, e.g. in the apt-get case.

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