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misc/py-torchmetrics: New port: PyTorch native metrics
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PORTNAME= torchmetrics | ||
DISTVERSION= 0.11.4 | ||
CATEGORIES= misc python # machine-learning | ||
MASTER_SITES= PYPI | ||
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} | ||
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MAINTAINER= yuri@FreeBSD.org | ||
COMMENT= PyTorch native metrics | ||
WWW= https://torchmetrics.readthedocs.io/en/stable/ | ||
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LICENSE= APACHE20 | ||
LICENSE_FILE= ${WRKSRC}/LICENSE | ||
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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} | ||
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USES= python:3.7+ | ||
USE_PYTHON= distutils autoplist | ||
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NO_ARCH= yes | ||
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.include <bsd.port.mk> |
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TIMESTAMP = 1685432785 | ||
SHA256 (torchmetrics-0.11.4.tar.gz) = 1fe45a14b44dd65d90199017dd5a4b5a128d56a8a311da7916c402c18c671494 | ||
SIZE (torchmetrics-0.11.4.tar.gz) = 307144 |
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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 |