Error making Beagle library with CUDA option - WSL_Ubuntu_20.04

[gardnerbp]

Making Beagle library from scratch with these commands
git clone --depth=1 https://github.com/beagle-dev/beagle-lib.git
cd beagle-lib
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX:PATH=/usr/local -DBUILD_OPENCL=OFF -DBUILD_CUDA=ON ..
sudo make install

results in error message
[ 70%] Linking CXX shared library libhmsbeagle-cuda.so
/usr/bin/ld: cannot find -lcuda
collect2: error: ld returned 1 exit status
make[2]: *** [libhmsbeagle/GPU/CMake_CUDA/CMakeFiles/hmsbeagle-cuda.dir/build.make:146: libhmsbeagle/GPU/CMake_CUDA/libhmsbeagle-cuda.so.40.0.0] Error 1

There is no cuda library installed by the CUDA toolkit. Changing the link.txt file to delete -lcuda or changing it to -lcudart allows the MAKE program to complete successfully (so I thought).

Running example hmctest in DEBUG mode fails to load the Beagle GPU plugin with the following error:
Loading hmsbeagle-cpu-sse
Loading hmsbeagle-cuda
Unable to load hmsbeagle-cuda: /usr/local/lib/libhmsbeagle-cuda.so.40.0.0: undefined symbol: cuModuleLoadData
Loading hmsbeagle-opencl
Unable to load hmsbeagle-opencl: libhmsbeagle-opencl.so.40.0.0: cannot open shared object file: No such file or directory
Available resources:
Resource 0:
Name : CPU (x86_64)
Desc :
Flags: PROCESSOR_CPU PRECISION_DOUBLE PRECISION_SINGLE COMPUTATION_SYNCH EIGEN_REAL EIGEN_COMPLEX SCALING_MANUAL SCALING_AUTO SCALING_ALWAYS SCALING_DYNAMIC SCALERS_RAW SCALERS_LOG VECTOR_NONE VECTOR_SSE THREADING_NONE FRAMEWORK_CPU

Using resource 0:
Rsrc Name : CPU (x86_64)
Impl Name : CPU-4State-SSE-Double
Impl Desc : none

Please fix this so that a NVIDIA GeForce RTX 2070 using the latest CUDA Toolkit 11.5.1 can use Beagle successfully.

[lpmor22]

I have the same issue - NVIDIA GeForce RTX 2080

[Tay-j]

Has anyone found a solution to this? I have an NVIDIA RTX 3080 and I encounter the same error with WSL.

[CSTE7007]

I am facing same kind of error while trying to install in Kaggle though the installation worked fine on google colab.

[ 70%] Linking CXX shared library libhmsbeagle-cuda.so
/usr/bin/ld: cannot find -lcuda: No such file or directory
collect2: error: ld returned 1 exit status
make[2]: *** [libhmsbeagle/GPU/CMake_CUDA/CMakeFiles/hmsbeagle-cuda.dir/build.make:162: libhmsbeagle/GPU/CMake_CUDA/libhmsbeagle-cuda.so.40.0.0] Error 1
make[1]: *** [CMakeFiles/Makefile2:293: libhmsbeagle/GPU/CMake_CUDA/CMakeFiles/hmsbeagle-cuda.dir/all] Error 2
make: *** [Makefile:166: all] Error 2

!lsb_release -a output:

No LSB modules are available.
Distributor ID:	Ubuntu
Description:	Ubuntu 22.04.2 LTS
Release:	22.04
Codename:	jammy

!lscpu output:

Architecture:            x86_64
  CPU op-mode(s):        32-bit, 64-bit
  Address sizes:         46 bits physical, 48 bits virtual
  Byte Order:            Little Endian
CPU(s):                  2
  On-line CPU(s) list:   0,1
Vendor ID:               GenuineIntel
  Model name:            Intel(R) Xeon(R) CPU @ 2.00GHz
    CPU family:          6
    Model:               85
    Thread(s) per core:  2
    Core(s) per socket:  1
    Socket(s):           1
    Stepping:            3
    BogoMIPS:            4000.28
    Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mc
                         a cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscal
                         l nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopo
                         logy nonstop_tsc cpuid tsc_known_freq pni pclmulqdq sss
                         e3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes 
                         xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefe
                         tch invpcid_single pti ssbd ibrs ibpb stibp fsgsbase ts
                         c_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx a
                         vx512f avx512dq rdseed adx smap clflushopt clwb avx512c
                         d avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat
                          md_clear arch_capabilities
Virtualization features: 
  Hypervisor vendor:     KVM
  Virtualization type:   full
Caches (sum of all):     
  L1d:                   32 KiB (1 instance)
  L1i:                   32 KiB (1 instance)
  L2:                    1 MiB (1 instance)
  L3:                    38.5 MiB (1 instance)
NUMA:                    
  NUMA node(s):          1
  NUMA node0 CPU(s):     0,1
Vulnerabilities:         
  Itlb multihit:         Not affected
  L1tf:                  Mitigation; PTE Inversion
  Mds:                   Mitigation; Clear CPU buffers; SMT Host state unknown
  Meltdown:              Mitigation; PTI
  Mmio stale data:       Vulnerable: Clear CPU buffers attempted, no microcode; 
                         SMT Host state unknown
  Retbleed:              Mitigation; IBRS
  Spec store bypass:     Mitigation; Speculative Store Bypass disabled via prctl
                          and seccomp
  Spectre v1:            Mitigation; usercopy/swapgs barriers and __user pointer
                          sanitization
  Spectre v2:            Mitigation; IBRS, IBPB conditional, STIBP conditional, 
                         RSB filling, PBRSB-eIBRS Not affected
  Srbds:                 Not affected
  Tsx async abort:       Mitigation; Clear CPU buffers; SMT Host state unknown

!nvidia-smi output:

Fri Sep  1 13:35:09 2023       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| 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  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   30C    P0    26W / 250W |      0MiB / 16280MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+