Package license: Apache-2.0
Feedstock license: BSD 3-Clause
Summary: Fast automatic differentiation library in C++
Adept (Automatic Differentiation using Expression Templates) is a free C++ software library that enables algorithms to be automatically differentiated, very useful for a wide range of applications that involve mathematical optimization. It uses an operator overloading approach, so very little code modification is required. Moreover, the way that expression templates have been used and several other important optimizations mean that reverse-mode differentiation is significantly faster than other C++ libraries that provide equivalent functionality.
The fundamental object of most mathematical software is the array, and it is therefore natural to want to differentiate array expressions. There are numerous mature C++ array libraries that support a wide variety of array operations, but because they also use expression templates to optimize array expressions, they do not work efficiently with Adept. The solution provided in version 2 of Adept is to use a single expression-template framework that incorporates both array and automatic-differentiation capabilities at a low level, thus enabling efficient differentiation of array expressions. Arrays of up to 7 dimensions are supported along with matrix multiplication and basic linear algebra operations. Of course, the library also works well with passive arrays (those that do not need to be differentiated).
Current build status
Current release info
adept from the
conda-forge channel can be achieved by adding
conda-forge to your channels with:
conda config --add channels conda-forge
conda-forge channel has been enabled,
adept can be installed with:
conda install adept
It is possible to list all of the versions of
adept available on your platform with:
conda search adept --channel conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
conda-forge.yml within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with
conda smithy rerender.
For more information please check the conda-forge documentation.
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI
and simplify the management of many feedstocks.
conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)
If you would like to improve the adept recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
conda-forge channel, whereupon the built conda packages will be available for
everybody to install and use from the
Note that all branches in the conda-forge/adept-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution: