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Tue, 30 May 2023 00:18:11 GMT (envelope-from git) Date: Tue, 30 May 2023 00:18:11 GMT Message-Id: <202305300018.34U0IBj8047290@gitrepo.freebsd.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org From: Yuri Victorovich Subject: git: c45a00c31fc7 - main - misc/py-torch-geometric: New port: Graph neural network library for PyTorch List-Id: Commits to the main branch of the FreeBSD ports repository List-Archive: https://lists.freebsd.org/archives/dev-commits-ports-main List-Help: List-Post: List-Subscribe: List-Unsubscribe: Sender: owner-dev-commits-ports-main@freebsd.org X-BeenThere: dev-commits-ports-main@freebsd.org MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit X-Git-Committer: yuri X-Git-Repository: ports X-Git-Refname: refs/heads/main X-Git-Reftype: branch X-Git-Commit: c45a00c31fc7d190c300f4dde4dbdb4a949fc30a Auto-Submitted: auto-generated X-ThisMailContainsUnwantedMimeParts: N The branch main has been updated by yuri: URL: https://cgit.FreeBSD.org/ports/commit/?id=c45a00c31fc7d190c300f4dde4dbdb4a949fc30a commit c45a00c31fc7d190c300f4dde4dbdb4a949fc30a Author: Yuri Victorovich AuthorDate: 2023-05-29 23:46:09 +0000 Commit: Yuri Victorovich CommitDate: 2023-05-30 00:18:07 +0000 misc/py-torch-geometric: New port: Graph neural network library for PyTorch --- misc/Makefile | 1 + misc/py-torch-geometric/Makefile | 32 ++++++++++++++++++++++++++++++++ misc/py-torch-geometric/distinfo | 3 +++ misc/py-torch-geometric/pkg-descr | 12 ++++++++++++ 4 files changed, 48 insertions(+) diff --git a/misc/Makefile b/misc/Makefile index 8c05866b6585..a65f73d0d3e3 100644 --- a/misc/Makefile +++ b/misc/Makefile @@ -467,6 +467,7 @@ SUBDIR += py-tflite SUBDIR += py-tflite-support SUBDIR += py-toil + SUBDIR += py-torch-geometric SUBDIR += py-torchvision SUBDIR += py-tqdm SUBDIR += py-tvm diff --git a/misc/py-torch-geometric/Makefile b/misc/py-torch-geometric/Makefile new file mode 100644 index 000000000000..eb87968fba2e --- /dev/null +++ b/misc/py-torch-geometric/Makefile @@ -0,0 +1,32 @@ +PORTNAME= torch-geometric +DISTVERSION= 2.3.1 +CATEGORIES= misc python # machine-learning +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} +DISTNAME= ${PORTNAME:S/-/_/}-${PORTVERSION} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Graph neural network library for PyTorch +WWW= https://pyg.org/ + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE + +PY_DEPENDS= ${PYTHON_PKGNAMEPREFIX}Jinja2>0:devel/py-Jinja2@${PY_FLAVOR} \ + ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}psutil>=5.8.0:sysutils/py-psutil@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pyparsing>0:devel/py-pyparsing@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}requests>0:www/py-requests@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scikit-learn>=0:science/py-scikit-learn@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR} +BUILD_DEPENDS= ${PY_DEPENDS} \ + ${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR} +RUN_DEPENDS= ${PY_DEPENDS} + +USES= python:3.7+ +USE_PYTHON= pep517 autoplist pytest + +NO_ARCH= yes + +.include diff --git a/misc/py-torch-geometric/distinfo b/misc/py-torch-geometric/distinfo new file mode 100644 index 000000000000..bd2587a23655 --- /dev/null +++ b/misc/py-torch-geometric/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1685400945 +SHA256 (torch_geometric-2.3.1.tar.gz) = 454fd0bbc128a17a4b9d15010ba9f66d48ec8cd7277991b888a7770263fa125d +SIZE (torch_geometric-2.3.1.tar.gz) = 661639 diff --git a/misc/py-torch-geometric/pkg-descr b/misc/py-torch-geometric/pkg-descr new file mode 100644 index 000000000000..b8a47aa9a745 --- /dev/null +++ b/misc/py-torch-geometric/pkg-descr @@ -0,0 +1,12 @@ +PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and +train Graph Neural Networks (GNNs) for a wide range of applications related +to structured data. + +It consists of various methods for deep learning on graphs and other irregular +structures, also known as geometric deep learning, from a variety of published +papers. In addition, it consists of easy-to-use mini-batch loaders for +operating on many small and single giant graphs, multi GPU-support, +torch.compile support, DataPipe support, a large number of common benchmark +datasets (based on simple interfaces to create your own), the GraphGym +experiment manager, and helpful transforms, both for learning on arbitrary +graphs as well as on 3D meshes or point clouds.