Arch Linux User Repository

Prebuilt binary can be found in the arch4edu repository.

Build is failing because cuDNN 8.8 or 8.9 is needed. Current cuDNN version is 9.1.1 in the official repository.

It might be noteworthy to mention that there are talks to drop cuDNN support altogether in the future. See issue 8215.

cupy_backends/cuda/libs/cudnn.cpp:2339:71: error: ‘cudnnRNNPaddingMode_t’ was not declared in this scope; did you mean ‘cudnnPaddingMode_t’?
 2339 | static CYTHON_INLINE PyObject* __Pyx_PyInt_From_cudnnRNNPaddingMode_t(cudnnRNNPaddingMode_t value);
      |                                                                       ^~~~~~~~~~~~~~~~~~~~~
      |                                                                       cudnnPaddingMode_t

Build on up-to-date Arch Linux system fails with:

[...]
g++ -shared -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -march=x86-64 -mtune=generic -O2 -pipe -fno-plt -fexceptions -Wp,-D_FORTIFY_SOURCE=3 -Wformat -Werror=format-security -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -flto=auto build/temp.linux-x86_64-cpython-312/cupyx/cudnn.o -L/opt/cuda/lib64 -L/opt/cuda/lib -L/usr/lib -lcudnn -o build/lib.linux-x86_64-cpython-312/cupyx/cudnn.cpython-312-x86_64-linux-gnu.so -Wl,--disable-new-dtags,-rpath,/opt/cuda/lib64,-rpath,/opt/cuda/lib
g++ -shared -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-z,pack-relative-relocs -flto=auto -march=x86-64 -mtune=generic -O2 -pipe -fno-plt -fexceptions -Wp,-D_FORTIFY_SOURCE=3 -Wformat -Werror=format-security -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -flto=auto build/temp.linux-x86_64-cpython-312/cupy/_core/dlpack.o -L/opt/cuda/lib64 -L/opt/cuda/lib -L/usr/lib -o build/lib.linux-x86_64-cpython-312/cupy/_core/dlpack.cpython-312-x86_64-linux-gnu.so -Wl,--disable-new-dtags,-rpath,/opt/cuda/lib64,-rpath,/opt/cuda/lib
error: command '/usr/bin/gcc' failed with exit code 1
==> ERROR: A failure occurred in build().
    Aborting...
 -> error making: python-cupy-exit status 4
 -> Failed to install the following packages. Manual intervention is required:
python-cupy - exit status 4

Prebuilt binary can be found in the arch4edu repository.

UPDATE: Nevermind, thanks to arch4edu repo posted by @petronny everything works perfect and flawless. Thanks, petronny! You helped a lot!

# OLD COMMENT

# Can't build, always get this error:

# error: cannot convert ‘const cusparseLtMatmulAlgSelection_t’ to ‘const cusparseLtMatmulPlan_t’

# Tried the C++14 fix but did't help... :/

I can't build this package, I don't know if I'm doing something wrong.

==> Validating source files with md5sums...
v11.4.0.tar.gz ... FAILED
c3cceac115c072fb63df1836ff46d8c60d9eb304.tar.gz ... Passed
4a37de0be4639f222c6565ebd0654cb922b5180e.tar.gz ... Passed
==> ERROR: One or more files did not pass the validity check!

Regards

oh. sorry. my fault.

greetings

@sl1pkn07 I think those are just warnings. Can you check if the package is built or not? I also have those messages, but my package is built properly.

Hi @reikdas, I cannot reproduce your issue. Maybe you can try to recompile the package first.

I get a bunch of errors when trying to import cupy.

[reik@reik-msi ~]$ python
Python 3.8.6 (default, Sep 30 2020, 04:00:38) 
[GCC 10.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cupy
Traceback (most recent call last):
  File "/usr/lib/python3.8/site-packages/cupy/__init__.py", line 20, in <module>
    from cupy import core  # NOQA
  File "/usr/lib/python3.8/site-packages/cupy/core/__init__.py", line 1, in <module>
    from cupy.core import core  # NOQA
  File "cupy/core/core.pyx", line 1, in init cupy.core.core
  File "/usr/lib/python3.8/site-packages/cupy/cuda/__init__.py", line 5, in <module>
    from cupy.cuda import compiler  # NOQA
  File "/usr/lib/python3.8/site-packages/cupy/cuda/compiler.py", line 10, in <module>
    from cupy.cuda import device
  File "cupy/cuda/device.pyx", line 9, in init cupy.cuda.device
ImportError: libcusolver.so.11: cannot open shared object file: No such file or directory

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python3.8/site-packages/cupy/__init__.py", line 41, in <module>
    raise ImportError(_msg) from e
ImportError: CuPy is not correctly installed.

If you are using wheel distribution (cupy-cudaXX), make sure that the version of CuPy you installed matches with the version of CUDA on your host.
Also, confirm that only one CuPy package is installed:
  $ pip freeze

If you are building CuPy from source, please check your environment, uninstall CuPy and reinstall it with:
  $ pip install cupy --no-cache-dir -vvvv

Check the Installation Guide for details:
  https://docs.cupy.dev/en/latest/install.html

original error: libcusolver.so.11: cannot open shared object file: No such file or directory
>>> quit()

I have CUDA 11.