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The branch main has been updated by rene: URL: https://cgit.FreeBSD.org/ports/commit/?id=a755d1c0d03125e1bc7deece17d28b06e7170761 commit a755d1c0d03125e1bc7deece17d28b06e7170761 Author: Rene Ladan <rene@FreeBSD.org> AuthorDate: 2025-06-02 17:34:00 +0000 Commit: Rene Ladan <rene@FreeBSD.org> CommitDate: 2025-06-02 17:34:00 +0000 misc/py-mxnet: Remove expired port 2025-06-01 misc/py-mxnet: Depends on expired misc/mxnet --- MOVED | 1 + misc/Makefile | 1 - misc/py-mxnet/Makefile | 47 ----------------------------------------------- misc/py-mxnet/distinfo | 3 --- misc/py-mxnet/pkg-descr | 11 ----------- 5 files changed, 1 insertion(+), 62 deletions(-) diff --git a/MOVED b/MOVED index c866e0c6a51a..0297ce0ea4d3 100644 --- a/MOVED +++ b/MOVED @@ -4480,3 +4480,4 @@ databases/datasette||2025-06-02|Has expired: Depends on expired devel/py-pytest- www/py-pydrive2||2025-06-02|Has expired: Depends on expired security/py-oauth2client misc/py-gluoncv||2025-06-02|Has expired: Depends on expiring misc/py-mxnet misc/py-gluonnlp||2025-06-02|Has expired: Depends on expiring misc/py-mxnet +misc/py-mxnet||2025-06-02|Has expired: Depends on expired misc/mxnet diff --git a/misc/Makefile b/misc/Makefile index 80ff3d49d0b0..e5b6428d365b 100644 --- a/misc/Makefile +++ b/misc/Makefile @@ -473,7 +473,6 @@ SUBDIR += py-mmengine SUBDIR += py-mmsegmentation SUBDIR += py-molequeue - SUBDIR += py-mxnet SUBDIR += py-natten SUBDIR += py-npTDMS SUBDIR += py-numcodecs diff --git a/misc/py-mxnet/Makefile b/misc/py-mxnet/Makefile deleted file mode 100644 index 2775460740df..000000000000 --- a/misc/py-mxnet/Makefile +++ /dev/null @@ -1,47 +0,0 @@ -PORTNAME= mxnet -DISTVERSION= 1.9.1 -PORTREVISION= 3 -CATEGORIES= misc # machine-learning -PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} - -MAINTAINER= yuri@FreeBSD.org -COMMENT= Apache MXNet: Ultra-scalable deep learning framework -WWW= https://mxnet.apache.org/ - -LICENSE= APACHE20 - -DEPRECATED= Depends on expired misc/mxnet -EXPIRATION_DATE=2025-06-01 - -BUILD_DEPENDS= mxnet>0:misc/mxnet -RUN_DEPENDS= mxnet>0:misc/mxnet \ - ${PYTHON_PKGNAMEPREFIX}graphviz>0:graphics/py-graphviz@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}requests>=2.20.0:www/py-requests@${PY_FLAVOR} - -USES= python localbase -USE_GITHUB= yes -USE_PYTHON= distutils cython autoplist - -GH_ACCOUNT= apache -GH_PROJECT= incubator-mxnet - -WRKSRC_SUBDIR= python - -POST_PLIST= fix-plist - -PYDISTUTILS_BUILDARGS= --with-cython -PYDISTUTILS_INSTALLARGS= --with-cython - -post-patch: - @${REINPLACE_CMD} -e 's|dll_path = \[curr_path, api_path, cmake_build_path\]|dll_path = ["${LOCALBASE}/lib"]|' ${WRKSRC}/mxnet/libinfo.py - -post-install: - @${FIND} ${STAGEDIR}${PREFIX} -name "*.so" | ${XARGS} ${STRIP_CMD} - # https://github.com/apache/incubator-mxnet/issues/17081 - @${RM} ${STAGEDIR}${PREFIX}/mxnet/libmxnet.so - @${RMDIR} ${STAGEDIR}${PREFIX}/mxnet - -fix-plist: # see post-install - @${REINPLACE_CMD} '/^mxnet\/libmxnet.so$$/d' ${TMPPLIST} - -.include <bsd.port.mk> diff --git a/misc/py-mxnet/distinfo b/misc/py-mxnet/distinfo deleted file mode 100644 index 237b7e3c56da..000000000000 --- a/misc/py-mxnet/distinfo +++ /dev/null @@ -1,3 +0,0 @@ -TIMESTAMP = 1652385057 -SHA256 (apache-incubator-mxnet-1.9.1_GH0.tar.gz) = cef85932e2b3caead235008473d29512b99581c07da3d10703ff5b6c1fb5bd50 -SIZE (apache-incubator-mxnet-1.9.1_GH0.tar.gz) = 23402468 diff --git a/misc/py-mxnet/pkg-descr b/misc/py-mxnet/pkg-descr deleted file mode 100644 index 147ced68cf73..000000000000 --- a/misc/py-mxnet/pkg-descr +++ /dev/null @@ -1,11 +0,0 @@ -Apache MXNet is a deep learning framework designed for both efficiency and -flexibility. It allows you to mix symbolic and imperative programming to -maximize efficiency and productivity. At its core, MXNet contains a dynamic -dependency scheduler that automatically parallelizes both symbolic and -imperative operations on the fly. A graph optimization layer on top of that -makes symbolic execution fast and memory efficient. MXNet is portable and -lightweight, scaling effectively to multiple GPUs and multiple machines. - -MXNet is more than a deep learning project. It is a collection of blue prints -and guidelines for building deep learning systems, and interesting insights of -DL systems for hackers.
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