CoDiPack (Code Differentiation Package) is a tool for gradient evaluation in computer programs. It supports the features:
- Forward mode of Algorithmic Differentiation (AD)
- Reverse mode of Algorithmic Differentiation (AD)
- Different tape implementations
- An AdjointMPI interface
- External functions
- Higher order derivatives
The design principle for CoDiPack is that it is easy to use. However, it also gives experienced AD developers full access to all the data structures.
The Scientific Computing Group at the TU Kaiserslautern develops CoDiPack and will enhance and extend CoDiPack in the future. There is a newsletter available at codi-info@uni-kl.de and if you want to contact us please write a mail to codi@scicomp.uni-kl.de.
CoDiPack is a header only library.
The only file the user needs to include is codi.hpp
.
The only other requirement is a C++11 compliant compiler
where one usually needs to specify '-std=c++11' in compiler arguments.
CoDiPack is tested with gcc, clang, and the Intel compiler.
The file codi.hpp
defines several datatypes. The most important ones are:
- Implementations of the forward mode of AD:
- codi::RealForward
- Implementation of the reverse mode of AD:
- codi::RealReverse (most common type, works everywhere, C-compatible)
- codi::RealReverseIndex (reduced tape size w.r.t. codi::RealReverse, no C-like memory operations (e.g. memcpy))
- codi::RealReversePrimal (reduced tape size w.r.t. codi::RealReverseIndex, works everywhere, C-compatible, increased type complexity)
- codi::RealReversePrimalIndex (reduced tape size w.r.t. codi::RealReversePrimal, no C-like memory operations (e.g. memcpy), increased type complexity)
We recommend to use the codi::RealReverse type when AD is first introduced to an application. After that there should be no difficulties in replacing the codi::RealReverse type with other types.
For further details please visit our CoDiPack web page.
CoDiPack is released under the GPLv3 license. For other licensing options please contact us.
CMake should be able to find CoDiPack either if CMAKE_PREFIX_PATH
contains the CoDiPack directory or if the parameter CoDiPack_DIR
is provided to CMake. If you install CoDiPack into a directory which is in the default search path for CMake then you do not need to specify any additional path.
The path is different if you use the CoDiPack directory or a CMake installation of CoDiPack.
- CoDiPack directory (e.g. github checkout):
export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:<CoDiPack root>/cmake
cmake . -DCoDiPack_DIR=<CoDiPack root>/cmake
- CoDiPack CMake installation:
export CMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH:<CoDiPack install>/share/CoDiPack/cmake
cmake . -DCoDiPack_DIR=<CoDiPack install>/share/CoDiPack/cmake
You also have to add CoDiPack as a target link library in the CMakeLists.txt
of your project:
find_package(CoDiPack CONFIG REQUIRED)
target_link_libraries(<target> PUBLIC CoDiPack)
If the target_link_libraries
command raises an error, try it without the keyword PUBLIC
.
The ActiveReal type contains the tape as a static member. GDB prints the information of these members in its default settings, which makes the output quite verbose. We recommend to disable the output of the static class members. This can be done with
set print static-members off
Because CoDiPack relies on inlining of the compiler the performance can drop if it is not done or ignored. Therefore we recomend to force inlining of CoDiPack with the option
-DCODI_UseForcedInlines
A very small and simple example for the usage of the RealForward type is the following code:
#include <codi.hpp>
#include <iostream>
int main(int nargs, char** args) {
codi::RealForward x = 4.0;
x.setGradient(1.0);
codi::RealForward y = x * x;
std::cout << "f(4.0) = " << y << std::endl;
std::cout << "df/dx(4.0) = " << y.getGradient() << std::endl;
return 0;
}
It is compiled with
g++ -I<path to codi>/include -std=c++11 -g -o forward forward.cpp
for the gcc compiler or with
icpc -I<path to codi>/include -std=c++11 -g -o forward forward.cpp
for the Intel compiler.
Please visit the tutorial page for further information.
If you use CoDiPack in one of your applications and write a paper it would be nice if you could cite the paper High-Performance Derivative Computations using CoDiPack.
@article{SaAlGauTOMS2019,
title = {High-Performance Derivative Computations using CoDiPack},
author = {M. Sagebaum, T. Albring, N.R. Gauger},
url = {https://dl.acm.org/doi/abs/10.1145/3356900},
year = {2019},
date = {2019-12-01},
journal = {ACM Transactions on Mathematical Software (TOMS)},
volume = {45},
number = {4},
}