Apex: Building error(Due to gcc version)
Greetings, I tried to install Apex but found this error. Should I uninstall this gcc version and reinstall older one?
/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/commands/install.py:207: UserWarning: Disabling all use of wheels due to the use of --build-options / --global-options / --install-options.
cmdoptions.check_install_build_global(options)
Created temporary directory: /tmp/pip-ephem-wheel-cache-77qno0eq
Created temporary directory: /tmp/pip-req-tracker-_yyu7g59
Created requirements tracker '/tmp/pip-req-tracker-_yyu7g59'
Created temporary directory: /tmp/pip-install-au8nn3u_
Processing /home/eslam/apex
Created temporary directory: /tmp/pip-req-build-utz_szs5
Added file:///home/eslam/apex to build tracker '/tmp/pip-req-tracker-_yyu7g59'
Running setup.py (path:/tmp/pip-req-build-utz_szs5/setup.py) egg_info for package from file:///home/eslam/apex
Running command python setup.py egg_info
torch.__version__ = 1.0.1.post2
running egg_info
creating pip-egg-info/apex.egg-info
writing pip-egg-info/apex.egg-info/PKG-INFO
writing dependency_links to pip-egg-info/apex.egg-info/dependency_links.txt
writing top-level names to pip-egg-info/apex.egg-info/top_level.txt
writing manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'
reading manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'
writing manifest file 'pip-egg-info/apex.egg-info/SOURCES.txt'
Source in /tmp/pip-req-build-utz_szs5 has version 0.1, which satisfies requirement apex==0.1 from file:///home/eslam/apex
Removed apex==0.1 from file:///home/eslam/apex from build tracker '/tmp/pip-req-tracker-_yyu7g59'
Installing collected packages: apex
Created temporary directory: /tmp/pip-record-a3p7ccgw
Running setup.py install for apex ... Running command /home/eslam/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-req-build-utz_szs5/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" --cpp_ext --cuda_ext install --record /tmp/pip-record-a3p7ccgw/install-record.txt --single-version-externally-managed --compile
torch.__version__ = 1.0.1.post2
Compiling cuda extensions with
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
from /usr/local/cuda/bin
Pytorch binaries were compiled with Cuda 9.0.176
running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/apex
copying apex/__init__.py -> build/lib.linux-x86_64-3.6/apex
creating build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/fused_adam.py -> build/lib.linux-x86_64-3.6/apex/optimizers
copying apex/optimizers/__init__.py -> build/lib.linux-x86_64-3.6/apex/optimizers
creating build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/fp16util.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/loss_scaler.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
copying apex/fp16_utils/__init__.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
creating build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
copying apex/multi_tensor_apply/multi_tensor_apply.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
copying apex/multi_tensor_apply/__init__.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
creating build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/distributed.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/multiproc.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/LARC.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/optimized_sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/optimized_sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
copying apex/parallel/__init__.py -> build/lib.linux-x86_64-3.6/apex/parallel
creating build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/models.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/cells.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/__init__.py -> build/lib.linux-x86_64-3.6/apex/RNN
copying apex/RNN/RNNBackend.py -> build/lib.linux-x86_64-3.6/apex/RNN
creating build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/reparameterization.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/weight_norm.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
copying apex/reparameterization/__init__.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
creating build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/utils.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/opt.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/frontend.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/amp.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/__version__.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/scaler.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_initialize.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_amp_state.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/_process_optimizer.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/handle.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/rnn_compat.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/compat.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/wrap.py -> build/lib.linux-x86_64-3.6/apex/amp
copying apex/amp/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp
creating build/lib.linux-x86_64-3.6/apex/normalization
copying apex/normalization/fused_layer_norm.py -> build/lib.linux-x86_64-3.6/apex/normalization
copying apex/normalization/__init__.py -> build/lib.linux-x86_64-3.6/apex/normalization
creating build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/torch_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/tensor_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/functional_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
copying apex/amp/lists/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
running build_ext
building 'apex_C' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/csrc
gcc -pthread -B /home/eslam/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/TH -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/THC -I/home/eslam/anaconda3/include/python3.6m -c csrc/flatten_unflatten.cpp -o build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=apex_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
g++ -pthread -shared -B /home/eslam/anaconda3/compiler_compat -L/home/eslam/anaconda3/lib -Wl,-rpath=/home/eslam/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -o build/lib.linux-x86_64-3.6/apex_C.cpython-36m-x86_64-linux-gnu.so
building 'amp_C' extension
gcc -pthread -B /home/eslam/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/TH -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/home/eslam/anaconda3/include/python3.6m -c csrc/amp_C_frontend.cpp -o build/temp.linux-x86_64-3.6/csrc/amp_C_frontend.o -O3 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
/usr/local/cuda/bin/nvcc -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/torch/csrc/api/include -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/TH -I/home/eslam/anaconda3/lib/python3.6/site-packages/torch/lib/include/THC -I/usr/local/cuda/include -I/home/eslam/anaconda3/include/python3.6m -c csrc/multi_tensor_scale_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_scale_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11
In file included from /usr/local/cuda/include/host_config.h:50:0,
from /usr/local/cuda/include/cuda_runtime.h:78,
from <command-line>:0:
/usr/local/cuda/include/crt/host_config.h:119:2: error: #error -- unsupported GNU version! gcc versions later than 6 are not supported!
#error -- unsupported GNU version! gcc versions later than 6 are not supported!
^~~~~
error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1
error
Cleaning up...
Removing source in /tmp/pip-req-build-utz_szs5
Removed build tracker '/tmp/pip-req-tracker-_yyu7g59'
Command "/home/eslam/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-req-build-utz_szs5/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" --cpp_ext --cuda_ext install --record /tmp/pip-record-a3p7ccgw/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-req-build-utz_szs5/
Exception information:
Traceback (most recent call last):
File "/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/cli/base_command.py", line 179, in main
status = self.run(options, args)
File "/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/commands/install.py", line 393, in run
use_user_site=options.use_user_site,
File "/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/req/__init__.py", line 57, in install_given_reqs
**kwargs
File "/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/req/req_install.py", line 945, in install
spinner=spinner,
File "/home/eslam/anaconda3/lib/python3.6/site-packages/pip/_internal/utils/misc.py", line 761, in call_subprocess
% (command_desc, proc.returncode, cwd))
pip._internal.exceptions.InstallationError: Command "/home/eslam/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-req-build-utz_szs5/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" --cpp_ext --cuda_ext install --record /tmp/pip-record-a3p7ccgw/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-req-build-utz_szs5/
1 location(s) to search for versions of pip:
* https://pypi.org/simple/pip/
Getting page https://pypi.org/simple/pip/
Starting new HTTPS connection (1): pypi.org:443
https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 11064
Analyzing links from page https://pypi.org/simple/pip/
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Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz#sha256=83522005c1266cc2de97e65072ff7554ac0f30ad369c3b02ff3a764b962048da (from https://pypi.org/simple/pip/), version: 0.2.1
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EslamJamal
All 19 comments
Hi @EslamJamal,
it looks like you are using CUDA9.0. Could you check the GCC support for your distribution here?
E.g. if you are using Ubuntu 16.04, you should use GCC 5.3.1.
ptrblck
on 29 Apr 2019
@ptrblck,
I am using Ubuntu 18.04 which does not appear in the distribution support in CUDA 9.0.
What should I do now? :(
EslamJamal
on 29 Apr 2019
Could you try to update CUDA to 10.1 or do you need to use CUDA9.0 for a certain reason?
ptrblck
on 29 Apr 2019
Unfortuanlty, I cannot because this is a server and I do not have a privileged access and many users also use CUDA 9.0
EslamJamal
on 29 Apr 2019
OK, in that case, which GCC version are you using? I assume you are using GCC 7.3.0?
As far as I know CUDA9.0 should be supported on Ubuntu 18.04 with GCC6.
Could you install it or would it also break your server setup?
ptrblck
on 29 Apr 2019
I think I can do it, but would it crash with other environments? Some guys use Tensorflow for example.
EslamJamal
on 29 Apr 2019
Hi,
@ptrblck I got exact same problem here. My CUDA version is 9.0 and gcc version is 5.4.0. I have my non-distributed training process working with these versions. So is versions error the reason I failed installing apex?
SwagJ
on 30 Apr 2019
@EslamJamal @SwagJ
If you're on a Linux system but can't alter your bare-metal environment for fear of breaking other users, a Docker container might be your best bet (I just created an updated Docker example here).
mcarilli
on 30 Apr 2019
Hi,
I think I have the way of editing GCC. could you please tell, which is the right version to operate apex?
SwagJ
on 1 May 2019
It depends on your nvcc version. You are using cuda 9.0, and the documentation for cuda 9.0 (https://docs.nvidia.com/cuda/archive/9.0/cuda-installation-guide-linux/index.html#system-requirements) says gcc 5.3.1 is appropriate.
Also, this is not Apex-specific, but should be helpful for all Cuda compilation.
mcarilli
on 1 May 2019
@mcarilli
Hi,
so you mean that as long as the cuda and gcc versions are paired properly, apex will functioning well, right?
In this case, my environment should be good, besides gcc version compatibility problem, what other things could cause this? Do you have any idea? Thank you very much!
Best,
SwagJ
on 5 May 2019
I use this conda install -c psi4 gcc-5 to update gcc. Then, I was able to install apex using the pip command shown in the readme.
datduong
on 6 May 2019
Hi. I just came across this while using CUDA 10.1 on Ubuntu 19.10 with gcc version 9.2.1. Adding
'-ccbin', 'gcc-8', to the list of each of the extra_compiler_args dictionary entries for nvcc in setup.py allows Apex to compile cleanly (other than the occasional warning /usr/local/lib/python3.7/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign). Hope this helps others.
Edit: added a patch file. apex.patch.txt
BrettRyland
on 4 Feb 2020
❤1
Hi,
thanks, @BrettRyland for his hint adding the extra_compiler_args!
In my case, it was also necessary to add the compiler (in my case it was a local compiler path) to the CC and CXX environment variable. Without this changes the TORCH.UTILS.CPP_EXTENSION and the setuptools.command.build_ext choose the wrong compiler (the system's default gcc). May that helps someone else ;-)
max-exner
on 27 Feb 2020
Hi @BrettRyland you mention the solution with extra_compiler_args , but that should probably be extra_compile_args.
My original error was: /usr/local/cuda/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
I was able to find a work-around on Ubuntu 20.04 with update-alternatives to use a gcc 8 version (having cuda 10.2 here).
# gcc 8, 9 and 10 installed ...
$ sudo dpkg -l 'gcc*' | grep ^ii
ii gcc 4:9.3.0-1ubuntu2 amd64 GNU C compiler
ii gcc-10-base:amd64 10-20200411-0ubuntu1 amd64 GCC, the GNU Compiler Collection (base package)
ii gcc-8 8.4.0-3ubuntu2 amd64 GNU C compiler
ii gcc-8-base:amd64 8.4.0-3ubuntu2 amd64 GCC, the GNU Compiler Collection (base package)
ii gcc-9 9.3.0-10ubuntu2 amd64 GNU C compiler
ii gcc-9-base:amd64 9.3.0-10ubuntu2 amd64 GCC, the GNU Compiler Collection (base package)
# using update-alternatives to prefer version 8
$ sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-9 10
update-alternatives: using /usr/bin/gcc-9 to provide /usr/bin/gcc (gcc) in auto mode
$ sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 20
update-alternatives: using /usr/bin/gcc-8 to provide /usr/bin/gcc (gcc) in auto mode
$ sudo update-alternatives --config gcc
There are 2 choices for the alternative gcc (providing /usr/bin/gcc).
Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/bin/gcc-8 20 auto mode
1 /usr/bin/gcc-8 20 manual mode
2 /usr/bin/gcc-9 10 manual mode
Press <enter> to keep the current choice[*], or type selection number:
# Needed to install g++-8 (only g++-9 was installed)
$ sudo apt-get install g++-8
...
The following NEW packages will be installed:
g++-8 libstdc++-8-dev
# Give g++-8 the highest priority
$ sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-9 10
$ sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 20
$ sudo update-alternatives --config g++
There are 2 choices for the alternative g++ (providing /usr/bin/g++).
Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/bin/g++-8 20 auto mode
1 /usr/bin/g++-8 20 manual mode
2 /usr/bin/g++-9 10 manual mode
Press <enter> to keep the current choice[*], or type selection number:
And now, I can successfully compile apex (and tested in a simpletransformer script that it works).
$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
... (takes 10 minutes or so)
Successfully installed apex-0.1
petervandenabeele
on 24 May 2020
👍2
Hi @petervandenabeele. Yes, it should be extra_compile_args.
You can, of course, set the gcc version to use globally as you've done, but then non-cuda code is compiled by default with that version of gcc instead of the latest version, which might not be optimal.
BrettRyland
on 24 May 2020
Thx @BrettRyland for your feedback.
Indeed, the way I presented it, that would give the higher priority to gcc-8 and g++-8 permanently.
One way to resolve that issue could be to reset the gcc-8 and g++-8 to a lower priority (in update-alternatives) after this compilation of apex-0.1 is ready. I did that now:
peter_v@dell-ubuntu:~$ sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 5
update-alternatives: using /usr/bin/gcc-9 to provide /usr/bin/gcc (gcc) in auto mode
peter_v@dell-ubuntu:~$ sudo update-alternatives --config gcc
There are 2 choices for the alternative gcc (providing /usr/bin/gcc).
Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/bin/gcc-9 10 auto mode
1 /usr/bin/gcc-8 5 manual mode
2 /usr/bin/gcc-9 10 manual mode
Press <enter> to keep the current choice[*], or type selection number:
peter_v@dell-ubuntu:~$ sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 5
update-alternatives: using /usr/bin/g++-9 to provide /usr/bin/g++ (g++) in auto mode
peter_v@dell-ubuntu:~$ sudo update-alternatives --config g++
There are 2 choices for the alternative g++ (providing /usr/bin/g++).
Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/bin/g++-9 10 auto mode
1 /usr/bin/g++-8 5 manual mode
2 /usr/bin/g++-9 10 manual mode
Press <enter> to keep the current choice[*], or type selection number:
Had the same issue, tried to add the flags, but g++-8 was missing. As Peter mentioned, install it with:
sudo apt-get install g++-8
pedrocolon93
on 20 Sep 2020
More easily, you can just pass the CC and CXX envrionment variables to the command itself.
It'll depend on your shell, for fish this works like:
begin; set -lx CC gcc-8; set -lx CXX g++-8; <command> ; end;
peey
on 4 Dec 2020
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Most helpful comment
Hi @BrettRyland you mention the solution with
extra_compiler_args, but that should probably beextra_compile_args.My original error was:
/usr/local/cuda/include/crt/host_config.h:138:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!I was able to find a work-around on Ubuntu 20.04 with update-alternatives to use a gcc 8 version (having cuda 10.2 here).
And now, I can successfully compile apex (and tested in a simpletransformer script that it works).