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Port details
py-autograd Efficiently computes derivatives of numpy code
1.2 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: 2019-02-27 22:11:15
SVN Revision: 494091
Also Listed In: python
License: MIT
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
SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:
  • py27-autograd>0:math/py-autograd

To install the port: cd /usr/ports/math/py-autograd/ && make install clean
To add the package: pkg install py27-autograd

PKGNAME: py27-autograd

Package flavors (<flavor>: <package>)
  • py27: py27-autograd
  • py36: py36-autograd

distinfo:

TIMESTAMP = 1551302910
SHA256 (autograd-1.2.tar.gz) = a08bfa6d539b7a56e7c9f4d0881044afbef5e75f324a394c2494de963ea4a47d
SIZE (autograd-1.2.tar.gz) = 32540


NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:
  1. py27-setuptools>0 : devel/py-setuptools@py27
  2. python2.7 : lang/python27
Runtime dependencies:
  1. py27-numpy>0 : math/py-numpy@py27
  2. py27-future>=0.15.2 : devel/py-future@py27
  3. py27-setuptools>0 : devel/py-setuptools@py27
  4. python2.7 : lang/python27

This port is required by:

for Run
Configuration Options
     No options to configure

USES:
python

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: 1

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
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: 1

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