diff options
| -rw-r--r-- | misc/Makefile | 1 | ||||
| -rw-r--r-- | misc/py-torch-geometric/Makefile | 32 | ||||
| -rw-r--r-- | misc/py-torch-geometric/distinfo | 3 | ||||
| -rw-r--r-- | misc/py-torch-geometric/pkg-descr | 12 |
4 files changed, 48 insertions, 0 deletions
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 <bsd.port.mk> 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. |