Fast Neural Machine Translation in C++
Go to file
Hieu Hoang 383b82c6f9 merge
2016-09-16 11:48:03 +02:00
examples merge 2016-09-16 11:48:03 +02:00
marian model dir 2016-09-15 14:17:04 +02:00
scripts Modify single layer training script, add 2-layer training script 2016-09-14 18:56:13 +02:00
src changed files for new graph format, adapted test.cu to not use pointers to Expr 2016-09-16 08:36:29 +02:00
.gitignore add functions loading MNIST dataset 2016-09-13 18:13:23 +02:00
CMakeLists.txt working separated graphs, added params 2016-09-16 00:23:47 +02:00
LICENSE.md Update LICENSE.md 2016-05-03 20:49:50 +01:00
README.md update requirements and paths to be exported 2016-09-15 17:02:25 +02:00

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