https://github.com/CortexFoundation/cvm-runtime
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 'infohash:6b75cc1354495ec763a6b295ee407ea864a0c292'
./build/bin/torrent download 'infohash:b2f5b0036877be22c6101bdfa5f2c7927fc35ef8'
./build/bin/torrent download 'infohash:5a49fed84aaf368cbf472cc06e42f93a93d92db5'
./build/bin/torrent download 'infohash:1f1706fa53ce0723ba1c577418b222acbfa5a200'
./build/bin/torrent download 'infohash:3f1f6c007e8da3e16f7c3378a20a746e70f1c2b0'
downloaded ALL the torrents !!!!!!!!!!!!!!!!!!!
https://github.com/CortexFoundation/inference
https://github.com/CortexFoundation/solution
https://github.com/CortexFoundation/rosetta-cortex
https://github.com/CortexFoundation/docker
https://github.com/CortexFoundation/robot
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single pti ibrs ibpb stibp fsgsbase bmi1 avx2 smep bmi2 erms invpcid xsaveopt
For example
cat /proc/cpuinfo
processor : 0
vendor_id : GenuineIntel
cpu family : 6
model : 63
model name : Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz
stepping : 2
microcode : 0x1
cpu MHz : 2494.224
cache size : 30720 KB
physical id : 0
siblings : 2
core id : 0
cpu cores : 1
apicid : 0
initial apicid : 0
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single pti ibrs ibpb stibp fsgsbase bmi1 avx2 smep bmi2 erms invpcid xsaveopt
bugs : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit
bogomips : 4988.44
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
NUMA node(s): 2
Vendor ID: AuthenticAMD
CPU family: 23
Model: 1
Model name: AMD EPYC 7571
Stepping: 2
CPU MHz: 2534.021
BogoMIPS: 4399.86
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 64K
L2 cache: 512K
L3 cache: 8192K
NUMA node0 CPU(s): 0-7,16-23
NUMA node1 CPU(s): 8-15,24-31
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf tsc_known_freq pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch topoext perfctr_core vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr arat npt nrip_save
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/
sudo apt-get install make
- go 1.20.+
wget https://go.dev/dl/go1.20.2.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.20.2.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:$LIBRARY_PATH
- nvidia driver 396.37+ reference: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#major-components
- ubuntu 18.04+
Recommend:
- cmake 3.11.0+
yum install cmake3
- go 1.20.+
- gcc/g++ 5.4+ reference: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements
sudo yum install centos-release-scl
sudo yum install devtoolset-7-gcc*
scl enable devtoolset-7 bash
which gcc
gcc --version
- cuda 10.1+ (if u have gpu)
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH
export LIBRARY_PATH=/usr/local/cuda/lib64/:/usr/local/cuda/lib64/stubs:$LIBRARY_PATH
- nvidia driver 418.67+
- centos 7.6
- git clone --recursive https://github.com/CortexFoundation/CortexTheseus.git
- cd CortexTheseus
- make clean && make -j$(nproc)
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)
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./cortex --bernard