CUTENSOR not available

Specific Domains GPU
1

Hi All,
I am trying to install CUDA with CUTENSOR support on a Debian 11+julia 1.8.5, but witout success.
The main problem is that CUTENSOR is non supported at moment for the new CUDA 12.1 drivers.
This is the error message
julia> using cuTENSOR
[ Info: Precompiling cuTENSOR [011b41b2-24ef-40a8-b3eb-fa098493e9e1]
┌ Error: cuTENSOR is not available for your platform (x86_64-linux-gnu-libgfortran5-cxx11-libstdcxx30-cuda+12.1-julia_version+1.8.5)
└ @ cuTENSOR ~/.julia/packages/cuTENSOR/WTpqy/src/cuTENSOR.jl:99

Is there any workaround for this?

Thnaks
Lello

2

How about installing a lower version of the CUDA software?
In the HPC systems I install you can have multiple versions of CUDA. You select which one you work with using Modules files.

3

The lowest one I can install without recomiling everything from scratch is 11.5, which still wouldn’t be supported.

4

Before 11.1 Debian was not officially supported and I cannot change Linux distro.

5

You can have CUDA.jl use an older toolkit using CUDA.set_runtime_version!; if you use e.g. v"11.8" you should be able to use CUTENSOR again. (Admittedly, the error reporting still need to be improved, but these changes are fairly recent.)

6

I tried CUDA.set_runtime_version!(v"11.8") and (v"11.0") and in both cases CUDA recomplies succesfully but CUTENSOR is not loaded. In the REPL if I run suing CUDA.CUTENSOR then I get:
ERROR: UndefVarError: CUTENSOR not defined

This is the output of CUDA.versioninfo():

CUDA runtime 11.0, artifact installation
CUDA driver 12.1
NVIDIA driver 530.30.2

Libraries:

  • CUBLAS: 11.2.0
  • CURAND: 10.2.1
  • CUFFT: 10.2.1
  • CUSOLVER: 10.6.0
  • CUSPARSE: 11.1.1
  • CUPTI: 13.0.0
  • NVML: 12.0.0+530.30.2

Toolchain:

  • Julia: 1.8.5
  • LLVM: 13.0.1
  • PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0
  • Device capability support: sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80

1 device:
0: NVIDIA A40 (sm_86, 44.398 GiB / 44.988 GiB available)

As you see CUTENSOR is not loaded.

7

CUTENSOR will never be listed in the versioninfo output nowadays since it’s part of an external package.

8

Indeed the command Pkg.test(“cuTENSOR”) is succesful

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Although the tests for CUDA itself fails.