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Port details on branch 2022Q2
py-jax Differentiate, compile, and transform Numpy code
0.4.25 math on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 0.4.23Version of this port present on the latest quarterly branch.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2020-07-09 18:10:24
Last Update: 2024-03-09 14:06:10
Commit Hash: 8d47cbf
Also Listed In: python
License: APACHE20
WWW:
https://github.com/google/jax
Description:
JAX is Autograd and XLA, brought together for high-performance machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What's new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python. You can even program multiple GPUs or TPU cores at once using pmap, and differentiate through the whole thing. Dig a little deeper, and you'll see that JAX is really an extensible system for composable function transformations. Both grad and jit are instances of such transformations. Others are vmap for automatic vectorization and pmap for single-program multiple-data (SPMD) parallel programming of multiple accelerators, with more to come.
Homepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb

Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}jax>0:math/py-jax@${PY_FLAVOR}
To install the port:
cd /usr/ports/math/py-jax/ && make install clean
To add the package, run one of these commands:
  • pkg install math/py-jax
  • pkg install py39-jax
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py39-jax listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py39-jax
Package flavors (<flavor>: <package>)
  • py39: py39-jax
distinfo:
TIMESTAMP = 1709390684 SHA256 (jax-0.4.25.tar.gz) = a8ee189c782de2b7b2ffb64a8916da380b882a617e2769aa429b71d79747b982 SIZE (jax-0.4.25.tar.gz) = 1543586

Packages (timestamps in pop-ups are UTC):
py39-jax
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest0.4.250.4.25-0.4.250.4.25---
FreeBSD:13:quarterly0.4.230.4.23--0.4.23-0.4.23-
FreeBSD:14:latest0.4.250.4.25-0.4.250.4.25---
FreeBSD:14:quarterly0.4.230.4.23--0.4.23-0.4.23-
FreeBSD:15:latest0.4.250.4.25n/a0.4.23n/a-0.4.230.4.24
FreeBSD:15:quarterly--n/a-n/a---
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py39-setuptools>=0 : devel/py-setuptools@py39
  2. py39-wheel>=0 : devel/py-wheel@py39
  3. python3.9 : lang/python39
  4. py39-build>=0 : devel/py-build@py39
  5. py39-installer>=0 : devel/py-installer@py39
Test dependencies:
  1. python3.9 : lang/python39
Runtime dependencies:
  1. py39-ml-dtypes>=0.2.0 : math/py-ml-dtypes@py39
  2. py39-numpy>=1.22,1 : math/py-numpy@py39
  3. py39-opt-einsum>=0 : math/py-opt-einsum@py39
  4. py39-scipy>=1.11.1 : science/py-scipy@py39
  5. python3.9 : lang/python39
  6. py39-importlib-metadata>=4.6 : devel/py-importlib-metadata@py39
This port is required by:
for Run
  1. math/py-flax
  2. science/meep

Configuration Options:
No options to configure
Options name:
math_py-jax
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/j/jax/
  2. https://pypi.org/packages/source/j/jax/
Collapse this list.

There are no commits on branch 2022Q2 for this port