som-don / cortextheseus

Cortex - AI on Blockchain, Official Go implementation

Related projects

CVM runtime (AI container)

https://github.com/CortexFoundation/cvm-runtime

File storage

Stop your cortex full node daemon, when you do this test

https://github.com/CortexFoundation/torrentfs

git clone https://github.com/CortexFoundation/torrentfs.git
cd torrentfs
make
./build/bin/torrent download 'ih:6b75cc1354495ec763a6b295ee407ea864a0c292'
./build/bin/torrent download 'ih:b2f5b0036877be22c6101bdfa5f2c7927fc35ef8'
./build/bin/torrent download 'ih:5a49fed84aaf368cbf472cc06e42f93a93d92db5'
./build/bin/torrent download 'ih:1f1706fa53ce0723ba1c577418b222acbfa5a200'
./build/bin/torrent download 'ih:3f1f6c007e8da3e16f7c3378a20a746e70f1c2b0'

downloaded ALL the torrents !!!!!!!!!!!!!!!!!!!

*** Make sure you can download the file successfully

*** Accept in/out traffic of fw settings as possible for stable and fast downloading speed

(40401 40404 5008 both in and out(tcp udp) traffic accepted at least)

AI wrapper (Fixed API for inference and file storage)

https://github.com/CortexFoundation/inference

PoW (Cortex Cuckoo cycle)

https://github.com/CortexFoundation/solution

System Requirements

ubuntu

Cortex node is developed in Ubuntu 18.04 x64 + CUDA 9.2 + NVIDIA Driver 396.37 environment, with CUDA Compute capability >= 6.1. Latest Ubuntu distributions are also compatible, but not fully tested. Recommend:

• cmake 3.11.0+

wget https://cmake.org/files/v3.11/cmake-3.11.0-rc4-Linux-x86_64.tar.gz
tar zxvf cmake-3.11.0-rc4-Linux-x86_64.tar.gz
sudo mv cmake-3.11.0-rc4-Linux-x86_64  /opt/cmake-3.11
sudo ln -sf /opt/cmake-3.11/bin/*  /usr/bin/

• go 1.15.5+

wget https://dl.google.com/go/go1.15.5.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.15.5.linux-amd64.tar.gz
echo 'export PATH="$PATH:/usr/local/go/bin"' >> ~/.bashrc
source ~/.bashrc

• gcc/g++ 5.4+

sudo apt install gcc
sudo apt install g++

• cuda 9.2+ (if u have gpu)

export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH
export LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LIBRARY_PATH

• nvidia driver 396.37+ reference: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#major-components
• ubuntu 18.04+

centos

Recommend:

• cmake 3.11.0+

yum install cmake3

• go 1.15.5+
• gcc/g++ 5.4+ reference: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements

sudo yum install centos-release-scl
sudo yum install devtoolset-7-gcc*
scl enable devtoolset-7 bash
which gcc
gcc --version

• cuda 10.1+ (if u have gpu)

export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH
export LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LIBRARY_PATH

• nvidia driver 418.67+
• centos 7.6

Cortex Full Node

Compile Source Code (8G+ Memory suggested)

1. git clone --recursive https://github.com/CortexFoundation/CortexTheseus.git
2. cd CortexTheseus
3. make clean && make -j$(nproc)

It is important to pass this check of libcvm_runtime.so

ldd plugins/libcvm_runtime.so

linux-vdso.so.1 =>  (0x00007ffe107fa000)
libstdc++.so.6 => /lib64/libstdc++.so.6 (0x00007f250e6a8000)
libm.so.6 => /lib64/libm.so.6 (0x00007f250e3a6000)
libgomp.so.1 => /lib64/libgomp.so.1 (0x00007f250e180000)
libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00007f250df6a000)
libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f250dd4e000)
libc.so.6 => /lib64/libc.so.6 (0x00007f250d980000)
/lib64/ld-linux-x86-64.so.2 (0x00007f250ed35000)

(If failed, run rm -rf cvm-runtime && git submodule init && git submodule update and try again)

Running Bash

And then, run any command to start full node cortex:

1. cd CortexTheseus
2. export LD_LIBRARY_PATH=$PWD:$PWD/plugins:$LD_LIBRARY_PATH
3. ./build/bin/cortex

It is easy for you to view the help document by running ./build/bin/cortex --help