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Port details
py-autograd Efficiently computes derivatives of numpy code
1.2_1 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 1.2Version of this port present on the latest quarterly branch.
Maintainer: rm@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2019-02-27 22:11:31
Last Update: 2019-07-26 21:46:57
SVN Revision: 507372
Also Listed In: python
License: MIT
Description:
SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:
  • py36-autograd>0:math/py-autograd
To install the port: cd /usr/ports/math/py-autograd/ && make install clean
To add the package: pkg install py36-autograd
PKGNAME: py36-autograd
Package flavors (<flavor>: <package>)
  • py36: py36-autograd
  • py27: py27-autograd
distinfo:

Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py36-setuptools>0 : devel/py-setuptools@py36
  2. python3.6 : lang/python36
Runtime dependencies:
  1. py36-numpy>0 : math/py-numpy@py36
  2. py36-future>=0.15.2 : devel/py-future@py36
  3. py36-setuptools>0 : devel/py-setuptools@py36
  4. python3.6 : lang/python36
This port is required by:
for Run
  1. science/py-lifelines

Configuration Options

USES:

Master Sites:
  1. https://files.pythonhosted.org/packages/source/a/autograd/
  2. https://pypi.org/packages/source/a/autograd/
Notes from UPDATING
These upgrade notes are taken from /usr/ports/UPDATING
  • 2017-11-30
    Affects: */py*
    Author: mat@FreeBSD.org
    Reason: 
      Ports using Python via USES=python are now flavored.  All the py3-* ports
      have been removed and folded into their py-* master ports.
    
      People using Poudriere 3.2+ and binary packages do not have to do anything.
    
      For other people, to build the Python 3.6 version of, for example,
      databases/py-gdbm, you need to run:
    
        # make FLAVOR=py36 install
    
    

Number of commits found: 2

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
26 Jul 2019 20:46:57
Original commit files touched by this commit  1.2_1
Revision:507372
gerald search for other commits by this committer
Bump PORTREVISION for ports depending on the canonical version of GCC
as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3
to GCC 9.1 under most circumstances now after revision 507371.

This includes ports
 - with USE_GCC=yes or USE_GCC=any,
 - with USES=fortran,
 - using Mk/bsd.octave.mk which in turn features USES=fortran, and
 - with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
   c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, everything INDEX-11 shows with a dependency on lang/gcc9 now.

PR:		238330
27 Feb 2019 22:11:15
Original commit files touched by this commit  1.2
Revision:494091
rm search for other commits by this committer
Autograd can automatically differentiate native Python and Numpy code. It can
handle a large subset of Python's features, including loops, ifs, recursion and
closures, and it can even take derivatives of derivatives of derivatives. It
supports reverse-mode differentiation (a.k.a. backpropagation), which means it
can efficiently take gradients of scalar-valued functions with respect to
array-valued arguments, as well as forward-mode differentiation, and the two
can be composed arbitrarily. The main intended application of Autograd is
gradient-based optimization.

WWW: https://github.com/HIPS/autograd

Number of commits found: 2

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