Package Details: python-apex-git 22.03.r245.g59b80ee8-1

Git Clone URL: https://aur.archlinux.org/python-apex-git.git (read-only, click to copy)
Package Base: python-apex-git
Description: A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Upstream URL: https://github.com/NVIDIA/apex
Keywords: pytorch
Licenses: BSD
Conflicts: python-apex
Provides: python-apex
Submitter: leomao
Maintainer: petronny
Last Packager: petronny
Votes: 0
Popularity: 0.000000
First Submitted: 2018-12-14 06:07 (UTC)
Last Updated: 2024-08-02 07:00 (UTC)

Pinned Comments

petronny commented on 2022-08-31 06:43 (UTC)

Prebuilt binaries of this package can be found in the arch4edu repository.

Latest Comments

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leomao commented on 2019-08-05 04:03 (UTC) (edited on 2019-08-05 04:04 (UTC) by leomao)

@petronny Thanks for the suggestion. I Updated the PKGBUILD.

petronny commented on 2019-08-05 03:59 (UTC)

Also, git should be in makedepends.

petronny commented on 2019-08-04 05:48 (UTC)

It shouldn't be an any package since it depends on cuda.
Please set arch to ('x86_64').

leomao commented on 2019-04-12 09:55 (UTC) (edited on 2019-04-12 09:57 (UTC) by leomao)

Please check https://github.com/NVIDIA/apex/issues/212. Currently, I don't have a solution with pytorch/pytorch-cuda in the community repo...

For now, I compile pytorch master myself...

drr21 commented on 2019-04-09 16:05 (UTC)

I get this warning when I use apex.amp:

'Warning: multi_tensor_applier fused unscale kernel is unavailable, possibly because apex was installed without --cuda_ext --cpp_ext. Using Python fallback. Original ImportError was: ImportError('/usr/lib/python3.7/site-packages/amp_C.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC1ENS_14SourceLocationERKSs')'

hottea commented on 2019-03-22 08:41 (UTC)

@leomao see syncbn for syncbn example. Actually, see this issue. It seems that pytorch appends -D_GLIBCXX_USE_CXX11_ABI=0 to compiler flags by default. I don't see a way to override it. And according to pytorch's PKGBUILD, there is no modify related to this flag. I believe that pytorch is build with -D_GLIBCXX_USE_CXX11_ABI=0, which is the default behavior of pytorch official configuration. So it would be OK to build apex extension with the same flag, aka -D_GLIBCXX_USE_CXX11_ABI=0. However, it's not. I try to build build apex with -D_GLIBCXX_USE_CXX11_ABI=1 by manually replace all -D_GLIBCXX_USE_CXX11_ABI=0 to -D_GLIBCXX_USE_CXX11_ABI=1 in /usr/lib/python3.7/site-packages/torch/utils/cpp_extension.py, and it works as expected. However, one should not expect to modify this cpp_extension.py during building apex with devtools, right?

leomao commented on 2019-02-25 03:10 (UTC)

Hi @hottea, thanks for reporting the issue. Could you provide a code snippet for testing? I just checked that the examples and tests ran without errors.

hottea commented on 2019-02-25 02:42 (UTC)

c++filt _ZN3c105ErrorC1ENS_14SourceLocationERKSs gives me:

c10::Error::Error(c10::SourceLocation, std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)

and then I found https://github.com/pytorch/pytorch/issues/13541, it seems we need to add -D_GLIBCXX_USE_CXX11_ABI=0 when compiling apex.

hottea commented on 2019-02-25 02:04 (UTC)

I got this warning:

Warning:  using Python fallback for SyncBatchNorm, possibly because apex was ins
talled without --cuda_ext.  The exception raised when attempting to import the c
uda backend was:  /usr/lib/python3.7/site-packages/syncbn.cpython-37m-x86_64-lin
ux-gnu.so: undefined symbol: _ZN3c105ErrorC1ENS_14SourceLocationERKSs

It seems that it failed to build with --cuda_ext? Or maybe there is something wrong with libs?

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