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Fast Neural Machine Translation in C++
examples | ||
marian | ||
scripts | ||
src | ||
.gitignore | ||
CMakeLists.txt | ||
Doxyfile.in | ||
LICENSE.md | ||
README.md |
Marian
A C++ gpu-specific parallel automatic differentiation library with operator overloading.
In honour of Marian Rejewski, a Polish mathematician and cryptologist.
Installation
Requirements:
- g++ with c++11
- CUDA and CuDNN
- Boost (>= 1.56)
Exporting some paths for CuDNN may be required (put it, for example, in your .bashrc
file):
export PATH=$PATH:$HOME/.local/bin:/usr/local/cuda/bin
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/usr/local/cudnn-5/lib64
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/usr/local/cudnn-5/lib64
export CPATH=$CPATH:/usr/local/cudnn-5/include
Compilation with cmake > 3.5
:
mkdir build
cd build
cmake ..
make -j
To compile API documentation using Doxygen, first cd to the build directory, and then:
make doc