WSL2-Ubuntu Nvidia GPU not recognize either from CUDA or OpenCL
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Description
Checklist
Guide I followed to make JtR:
- https://docs.nvidia.com/cuda/wsl-user-guide/index.html
- https://openwall.info/wiki/john/GPU (NVIDIA part)
- https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
- https://github.com/openwall/john/blob/bleeding-jumbo/doc/INSTALL-UBUNTU
Attach details about your OS and about john, including:
- The output of
./john --list=build-info.
╰─λ /opt/john/run/john --list=build-info
Version: 1.9.0-jumbo-1+bleeding-ff16ecb93 2021-12-08 20:03:10 +0100
Build: linux-gnu 64-bit x86_64 AVX512BW AC OMP
SIMD: AVX512BW, interleaving: MD4:3 MD5:3 SHA1:1 SHA256:1 SHA512:1
CPU tests: AVX512BW
$JOHN is /opt/john/run/
Format interface version: 14
Max. number of reported tunable costs: 4
Rec file version: REC4
Charset file version: CHR3
CHARSET_MIN: 1 (0x01)
CHARSET_MAX: 255 (0xff)
CHARSET_LENGTH: 24
SALT_HASH_SIZE: 1048576
SINGLE_IDX_MAX: 2147483648
SINGLE_BUF_MAX: 4294967295
Effective limit: Number of salts vs. SingleMaxBufferSize
Max. Markov mode level: 400
Max. Markov mode password length: 30
gcc version: 9.3.0
GNU libc version: 2.31 (loaded: 2.31)
OpenCL headers version: 1.2
Crypto library: OpenSSL
OpenSSL library version: 01010106f
OpenSSL 1.1.1f 31 Mar 2020
GMP library version: 6.2.0
File locking: fcntl()
fseek(): fseek
ftell(): ftell
fopen(): fopen
memmem(): System's
times(2) sysconf(_SC_CLK_TCK) is 100
Using times(2) for timers, resolution 10 ms
HR timer: clock_gettime(), latency 40 ns
Total physical host memory: 31970 MiB
Available physical host memory: 28778 MiB
Terminal locale string: C.UTF-8
Parsed terminal locale: UTF-8
- The command line you are using.
╰─λ nvidia-smi
Fri Dec 10 10:45:46 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.00 Driver Version: 510.06 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA RTX A200... On | 00000000:01:00.0 Off | N/A |
| N/A 45C P8 6W / N/A | 391MiB / 4096MiB | N/A Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
╰─λ uname -m && cat /etc/*release
x86_64
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
NAME="Ubuntu"
VERSION="20.04.3 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.3 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
╰─λ wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin 130 (50.128s)
╰─λ sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
╰─λ wget https://developer.download.nvidia.com/compute/cuda/11.5.1/local_installers/cuda-repo-wsl-ubuntu-11-5-local_11.5.1-1_amd64.deb
╰─λ sudo dpkg -i cuda-repo-wsl-ubuntu-11-5-local_11.5.1-1_amd64.deb
╰─λ sudo apt-key add /var/cuda-repo-wsl-ubuntu-11-5-local/7fa2af80.pub
OK
╰─λ sudo apt-get update
╰─λ sudo apt-get -y install cuda
╰─λ sudo apt-get -y install git build-essential libssl-dev zlib1g-dev
╰─λ sudo apt-get -y install yasm pkg-config libgmp-dev libpcap-dev libbz2-dev
╰─λ sudo apt-get -y install nvidia-opencl-dev
╰─λ sudo apt-get -y install ocl-icd-opencl-dev opencl-headers pocl-opencl-icd
╰─λ sudo git clone https://github.com/openwall/john -b bleeding-jumbo john
╰─λ sudo ./configure
Configured for building John the Ripper jumbo:
Target CPU ......................................... x86_64 AVX512BW, 64-bit LE
AES-NI support ..................................... run-time detection
Target OS .......................................... linux-gnu
Cross compiling .................................... no
Legacy arch header ................................. x86-64.h
Optional libraries/features found:
Memory map (share/page large files) ................ yes
Fork support ....................................... yes
OpenMP support ..................................... yes (not for fast formats)
OpenCL support ..................................... yes
Generic crypt(3) format ............................ yes
OpenSSL (many additional formats) .................. yes
libgmp (PRINCE mode and faster SRP formats) ........ yes
128-bit integer (faster PRINCE mode) ............... yes
libz (7z, pkzip and some other formats) ............ yes
libbz2 (7z and gpg2john bz2 support) ............... yes
libpcap (vncpcap2john and SIPdump) ................. yes
Non-free unrar code (complete RAR support) ......... yes
librexgen (regex mode, see doc/README.librexgen) ... no
OpenMPI support (default disabled) ................. no
Experimental code (default disabled) ............... no
ZTEX USB-FPGA module 1.15y support ................. no
Install missing libraries to get any needed features that were omitted.
╰─λ sudo make -s clean && sudo make -sj4
╰─λ ../run/john --list=opencl-devices
Platform #0 name: Intel(R) OpenCL HD Graphics, version: OpenCL 3.0
Device #0 (1) name: Intel(R) Graphics [0x9a60]
Device vendor: Intel(R) Corporation
Device type: GPU (LE)
Device version: OpenCL 3.0 NEO
Driver version: 21.37.20939
Native vector widths: char 16, short 8, int 4, long 1
Preferred vector width: char 16, short 8, int 4, long 1
Global Memory: 26103 MiB
Global Memory Cache: 512 KiB
Local Memory: 64 KiB (Local)
Constant Buffer size: 1 GiB
Max memory alloc. size: 1 GiB
Max clock (MHz): 1450
Profiling timer res.: 52 ns
Max Work Group Size: 256
Parallel compute cores: 32
Stream processors: 256 (32 x 8)
Speed index: 371200
Platform #1 name: Portable Computing Language, version: OpenCL 1.2 pocl 1.4, None+Asserts, LLVM 9.0.1, RELOC, SLEEF, DISTRO, POCL_DEBUG
Device #0 (2) name: pthread-11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz
Device vendor: GenuineIntel
Device type: CPU (LE)
Device version: OpenCL 1.2 pocl HSTR: pthread-x86_64-pc-linux-gnu-icelake-client
Driver version: 1.4
Native vector widths: char 16, short 16, int 16, long 8
Preferred vector width: char 16, short 16, int 16, long 8
Global Memory: 29922 MiB
Global Memory Cache: 24 MiB
Local Memory: 16 MiB (Global)
Constant Buffer size: 16 MiB
Max memory alloc. size: 8 GiB
Max clock (MHz): 2496
Profiling timer res.: 1 ns
Max Work Group Size: 4096
Parallel compute cores: 16
Speed index: 319488
╰─λ ls /dev/dxg
/dev/dxg
Well, this procedure works totally fine on Ubuntu Bare-metal installation. Not exactly the CUDA part, but at least JtR could get the same nvidia RTX A2000 GPU from opencl driver. However, it's not working on WSL2 Ubuntu at all. I tried several times with Windows Nvidia driver installation (guide says WSL2 would not actually need to install nvidia driver like Bare-metal installation), or with actually both Windows Nvidia driver installation along with WSL2 Ubuntu Nvidia-driver-470 installation. Everytime john would only recognize the Intel GPU instead of Nvidia.
May I ask if there's any possibility to do this on WSL2 Ubuntu at all? If yes, which part of me doing wrong please?
Thank you very much. If there's any other information you required, I'm more than happy to keep updating this post.
Cheers,
Channing.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the reported WSL2 Ubuntu environment, the ./configure output, and the ../run/john --list=opencl-devices result. Compare the Windows and bare-metal setup details in the issue, then determine whether John can recognize the Nvidia GPU under WSL2 and document the supported configuration or the missing requirement.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c, linux, ubuntu
- Domain
- devtools, operating-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100