misc/py-torchmetrics: New port: PyTorch native metrics

misc/Makefile

@@ -469,6 +469,7 @@
     SUBDIR += py-tflite-support
     SUBDIR += py-toil
     SUBDIR += py-torch-geometric
+    SUBDIR += py-torchmetrics
     SUBDIR += py-torchvision
     SUBDIR += py-tqdm
     SUBDIR += py-tvm

misc/py-torchmetrics/Makefile

@@ -0,0 +1,30 @@
+PORTNAME=	torchmetrics
+DISTVERSION=	0.11.4
+CATEGORIES=	misc python # machine-learning
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	PyTorch native metrics
+WWW=		https://torchmetrics.readthedocs.io/en/stable/
+
+LICENSE=	APACHE20
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+PY_DEPENDS=	${PYTHON_PKGNAMEPREFIX}nltk>=3.6:textproc/py-nltk@${PY_FLAVOR} \
+		${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}packaging>0:devel/py-packaging@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pytorch>0:misc/py-pytorch@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}regex>=2021.9.24:textproc/py-regex@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}scipy>=1.0.0:science/py-scipy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}torchvision>0:misc/py-torchvision@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}tqdm>=4.41.0:misc/py-tqdm@${PY_FLAVOR} # some optional dependencies for some sections are missing
+BUILD_DEPENDS=	${PY_DEPENDS}
+RUN_DEPENDS=	${PY_DEPENDS}
+
+USES=		python:3.7+
+USE_PYTHON=	distutils autoplist
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

misc/py-torchmetrics/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1685432785
+SHA256 (torchmetrics-0.11.4.tar.gz) = 1fe45a14b44dd65d90199017dd5a4b5a128d56a8a311da7916c402c18c671494
+SIZE (torchmetrics-0.11.4.tar.gz) = 307144

misc/py-torchmetrics/pkg-descr

@@ -0,0 +1,8 @@
+TorchMetrics is a collection of 90+ PyTorch metrics implementations and an
+easy-to-use API to create custom metrics. It offers:
+* A standardized interface to increase reproducibility
+* Reduces Boilerplate
+* Distributed-training compatible
+* Rigorously tested
+* Automatic accumulation over batches
+* Automatic synchronization between multiple devices