math/py-torch - The NetBSD Packages Collection

Tensors and Dynamic neural networks in Python 

PyTorch is a Python package that provides two high-level features:

* Tensor computation (like NumPy) with strong GPU acceleration
* Deep neural networks built on a tape-based autograd system

Build dependencies

devel/py-pybind11 lang/python312 lang/python312 devel/cmake devel/py-setuptools pkgtools/mktools devel/gmake pkgtools/cwrappers

Runtime dependencies

devel/py-filelock textproc/py-jinja2 math/py-networkx math/py-sympy devel/py-typing-extensions textproc/py-yaml textproc/py-dill math/fftw devel/gmp math/mpfr math/openblas64_pthread parallel/openmp math/py-numpy math/fftw devel/gmp math/mpfr math/py-numpy

Binary packages

OSArchitectureVersion
(none)

Binary packages can be installed with the high-level tool pkgin (which can be installed with pkg_add) or pkg_add(1) (installed by default). The NetBSD packages collection is also designed to permit easy installation from source.

Available build options

(none)

Known vulnerabilities

The pkg_admin audit command locates any installed package which has been mentioned in security advisories as having vulnerabilities.

Please note the vulnerabilities database might not be fully accurate, and not every bug is exploitable with every configuration.

Problem reports, updates or suggestions for this package should be reported with send-pr.