notbugAs an Amazon Associate I earn from qualifying purchases.
Want a good read? Try FreeBSD Mastery: Jails (IT Mastery Book 15)
Want a good monitor light? See my photosAll times are UTC
Ukraine
This referral link gives you 10% off a Fastmail.com account and gives me a discount on my Fastmail account.

Get notified when packages are built

A new feature has been added. FreshPorts already tracks package built by the FreeBSD project. This information is displayed on each port page. You can now get an email when FreshPorts notices a new package is available for something on one of your watch lists. However, you must opt into that. Click on Report Subscriptions on the right, and New Package Notification box, and click on Update.

Finally, under Watch Lists, click on ABI Package Subscriptions to select your ABI (e.g. FreeBSD:14:amd64) & package set (latest/quarterly) combination for a given watch list. This is what FreshPorts will look for.

Port details
py-mmengine Engine of OpenMMLab projects: training PyTorch deep learning models
0.10.4 misc on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 0.10.2Version of this port present on the latest quarterly branch.
Maintainer: yuri@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2023-12-27 19:27:07
Last Update: 2024-04-24 09:13:07
Commit Hash: 9c2ed28
License: APACHE20
WWW:
https://mmengine.readthedocs.io/en/latest/
Description:
MMEngine is a foundational library for training deep learning models based on PyTorch. It provides a solid engineering foundation and frees developers from writing redundant codes on workflows. It serves as the training engine of all OpenMMLab codebases, which support hundreds of algorithms in various research areas. Moreover, MMEngine is also generic to be applied to non-OpenMMLab projects.
Homepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}mmengine>0:misc/py-mmengine@${PY_FLAVOR}
To install the port:
cd /usr/ports/misc/py-mmengine/ && make install clean
To add the package, run one of these commands:
  • pkg install misc/py-mmengine
  • pkg install py39-mmengine
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py39-mmengine listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py39-mmengine
Package flavors (<flavor>: <package>)
  • py39: py39-mmengine
distinfo:
TIMESTAMP = 1713948365 SHA256 (open-mmlab-mmengine-v0.10.4_GH0.tar.gz) = 72bcbed1dbc6ab31d8940d301959611cc996826e34a1e3595c02ff97c0cc5f88 SIZE (open-mmlab-mmengine-v0.10.4_GH0.tar.gz) = 1437088

Packages (timestamps in pop-ups are UTC):
py39-mmengine
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest0.10.40.10.4--0.10.4---
FreeBSD:13:quarterly0.10.20.10.2--0.10.2-0.10.2-
FreeBSD:14:latest0.10.40.10.4--0.10.4---
FreeBSD:14:quarterly0.10.20.10.2--0.10.2-0.10.2-
FreeBSD:15:latest0.10.40.10.4n/a-n/a-0.10.2-
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py39-setuptools>=63.1.0 : devel/py-setuptools@py39
  2. python3.9 : lang/python39
Test dependencies:
  1. python3.9 : lang/python39
Runtime dependencies:
  1. py39-addict>0 : devel/py-addict@py39
  2. py39-matplotlib>0 : math/py-matplotlib@py39
  3. py39-numpy>=1.16,1<1.26,1 : math/py-numpy@py39
  4. py39-rich>0 : textproc/py-rich@py39
  5. py39-termcolor>0 : devel/py-termcolor@py39
  6. py39-yapf>0 : textproc/py-yapf@py39
  7. py39-yaml>0 : devel/py-yaml@py39
  8. py39-setuptools>=63.1.0 : devel/py-setuptools@py39
  9. python3.9 : lang/python39
This port is required by:
for Run
  1. misc/py-mmcv

Configuration Options:
No options to configure
Options name:
misc_py-mmengine
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (1 items)
Collapse this list.
  1. https://codeload.github.com/open-mmlab/mmengine/tar.gz/v0.10.4?dummy=/
Collapse this list.

Number of commits found: 3

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
0.10.4
24 Apr 2024 09:13:07
commit hash: 9c2ed28fbcf371b75f2d70a6eefede3b93e5f10bcommit hash: 9c2ed28fbcf371b75f2d70a6eefede3b93e5f10bcommit hash: 9c2ed28fbcf371b75f2d70a6eefede3b93e5f10bcommit hash: 9c2ed28fbcf371b75f2d70a6eefede3b93e5f10b files touched by this commit
Yuri Victorovich (yuri) search for other commits by this committer
misc/py-mmengine: update 0.10.3 → 0.10.4

Reported by:	portscout
0.10.3
20 Apr 2024 07:27:29
commit hash: e8ff0719699b73513fd1dbeabebe253e5a93f768commit hash: e8ff0719699b73513fd1dbeabebe253e5a93f768commit hash: e8ff0719699b73513fd1dbeabebe253e5a93f768commit hash: e8ff0719699b73513fd1dbeabebe253e5a93f768 files touched by this commit
Yuri Victorovich (yuri) search for other commits by this committer
misc/py-mmengine: update 0.10.2 → 0.10.3

Reported by:	portscout
0.10.2
27 Dec 2023 19:26:00
commit hash: 3e79fa112e352925d8f689f21aa98885418c59facommit hash: 3e79fa112e352925d8f689f21aa98885418c59facommit hash: 3e79fa112e352925d8f689f21aa98885418c59facommit hash: 3e79fa112e352925d8f689f21aa98885418c59fa files touched by this commit
Yuri Victorovich (yuri) search for other commits by this committer
misc/py-mmengine: New port: Engine of OpenMMLab projects: training PyTorch deep
learning models

Number of commits found: 3