ssameerr/torch

Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Torch*

Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Intel®Software Optimization for Torch

This fork is dedicated to improving Torch performance when running on CPU, in particular Intel® Xeon processors (HSW, BDW, Xeon Phi)

Requirements

If you are root user, please use this command to install OpenBlas and other dependency:

bash install-deps

If you are not root user, please use this command to install OpenBlas from source code, and this script will add OpenBLAS to LD_LIBRARY_PATH automaticly.

. ./install-openblas.sh

Building

Install this repo, which installs the torch distribution, with a lot of nice goodies.

You can specify which compiler to compile the project, and the default compiler is gcc & g++.

git clone https://github.com/intel/torch.git ~/torch
cd ~/torch; bash install-deps;
./install.sh        #use gcc to install torch
./install.sh icc  #use icc to install torch

By default Torch will install LuaJIT 2.1. If you want other options, you can use the command:

TORCH_LUA_VERSION=LUA51 ./install.sh
TORCH_LUA_VERSION=LUA52 ./install.sh

Cleaning

To remove all the temporary compilation files you can run:

./clean.sh

Test

You can test that all libraries are installed properly by running:

./test.sh

Tested on Ubuntu 14.04, CentOS 7.

More build options for install.sh

./install.sh [gcc] [avx512] [mklml] [noskip]

• icc/gcc, default gcc
• avx512/off, default off, avx512 will force compilers(GCC version should be greater than 4.9.2) to use AVX512F instructions to compile the framework.
• mklml/mkl, default mkl.
• noskip/skip,default noskip, skip means skip the openblas checking

If you want to use MKL as the default BLAS library, please activate MKL before install.sh:

source /opt/intel/mkl/bin/mklvars.sh intel64

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* Other names and trademarks may be claimed as the property of others.