Build Requirements
sudo apt install cmake
cmake version 3.5.1 or late
sudo apt-get update
sudo apt-get install \
# Audio encoding libs for libsndfile \
libasound2-dev \
libflac-dev \
libogg-dev \
libtool \
libvorbis-dev \
# FFTW for Fourier transforms \
libfftw3-dev \
# Compression libraries for KenLM \
zlib1g-dev \
libbz2-dev \
liblzma-dev \
libboost-all-dev \
# gflags \
libgflags-dev \
libgflags2v5 \
# glog \
libgoogle-glog-dev \
libgoogle-glog0v5 \
NVIDIA driver: suao apt install nvidia-410 #by your nvidia display card
download CUDA10.0,then install it
download cuDNN & NCLL ,then install
安装MKL
到官网下载Intel® Math Kernel Library for Linux安装包
采用tar -xvzf l_mkl_xxx.tgz命令解压安装包，进入解压后的安装包，运行./install.sh脚本执行安装过程
根据提示一路接受，默认安装路径是/opt/intel
在目录/opt/intel/mkl/bin下执行./mklvars.sh intel64
编辑vi ~/.bashrc设置环境变量
在末尾加入代码：
export PATH=/opt/intel/bin:$PATH
export LD_LIBRARY_PATH= /opt/intel/lib/intel64:/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH
$ source ~/.bashrc
如果没有报错，则path生效
安装kenlm
wget https://kheafield.com/code/kenlm.tar.gz
tar -xvzf kenlm.tar.gz
cd kenlm
mkdir build && cd build
cmake ..
make -j 4
这样还无法在python环境中执行
cd kenlm
python setup.py install
python #进入python环境
import kenlm
kenlm root DIR is kenlm
安装libsndfile:
git clone git://github.com/erikd/libsndfile.git
sudo apt install autoconf autogen automake build-essential libasound2-dev \
libflac-dev libogg-dev libtool libvorbis-dev pkg-config python
cd libsndfile
./autogen.sh
./configure --enable-werror
make
make check
为了产生wav2letter++需要的.cmake配置文件
mkdir CMakeBuild
cd CMakeBuild
cmake ..
make
sudo make install
安装ArrayFire
直接下载：ArrayFire-v3.6.1_Linux_x86_64.sh
bash ArrayFire-v3.6.1_Linux_x86_64.sh
之后wav2letter++在cmake时加入选项:
-DArrayFire_DIR=/xxx/arrayfire/share/ArrayFire/cmake
安装flashlight
注意安装flashlight之前需要安装好arrayfire和nccl [flashlight还需要CUDA>=9.2，CUDNN>=7.2.1
sudo apt-get install openmpi-bin openmpi-common libopenmpi-dev
git clone https://github.com/facebookresearch/flashlight.git
mkdir -p build #in the flashlight project directory:
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DFLASHLIGHT_BACKEND=CUDA
报错找不到ArrayFire，加上-D ArrayFire_DIR=/data/zd/arrayfire/share/ArrayFire/cmake选项；
make -j 4 #(or any number of threads)
make test
sudo make install
安装wav2letter++
需要在~/.bashrc中加上环境变量
export KENLM_ROOT_DIR=[your kenlm directory]
export MKLROOT=/opt/intel/mkl
git clone --recursive https://github.com/facebookresearch/wav2letter.git
mkdir -p build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DArrayFire_DIR=/home/xxx/arrayfire/share/ArrayFire/cmake
make -j4
