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NVIDIA / apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
BSD 3-Clause "New" or "Revised" License
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Ubuntu Install Error: RuntimeError("--cuda_ext was requested, but nvcc was not found... #473

Open glenn-jocher opened 5 years ago

glenn-jocher commented 5 years ago

I get this error when trying to install on Ubuntu with PyTorch 1.2.0 and CUDA 10.1. PyTorch recognizes and uses the GPUs correctly. I installed PyTorch using conda install -yc pytorch pytorch. Please help, thank you!

$ nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 430.40       Driver Version: 430.40       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce RTX 208...  Off  | 00000000:01:00.0 Off |                  N/A |
| 23%   47C    P0    65W / 250W |      0MiB / 11018MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce RTX 208...  Off  | 00000000:02:00.0 Off |                  N/A |
| 26%   46C    P0     1W / 250W |      0MiB / 11019MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
$
$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user
Cloning into 'apex'...
remote: Enumerating objects: 213, done.
remote: Counting objects: 100% (213/213), done.
remote: Compressing objects: 100% (148/148), done.
remote: Total 5371 (delta 101), reused 138 (delta 64), pack-reused 5158
Receiving objects: 100% (5371/5371), 13.47 MiB | 297.00 KiB/s, done.
Resolving deltas: 100% (3438/3438), done.
/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/commands/install.py:243: 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-k9dwuifp
Created temporary directory: /tmp/pip-req-tracker-8e39xf3g
Created requirements tracker '/tmp/pip-req-tracker-8e39xf3g'
Created temporary directory: /tmp/pip-install-3b7fw1mp
Processing /home/athena/apex
  Created temporary directory: /tmp/pip-req-build-6n3oall8
  Added file:///home/athena/apex to build tracker '/tmp/pip-req-tracker-8e39xf3g'
    Running setup.py (path:/tmp/pip-req-build-6n3oall8/setup.py) egg_info for package from file:///home/athena/apex
    Running command python setup.py egg_info
    torch.__version__  =  1.2.0
    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'
    /tmp/pip-req-build-6n3oall8/setup.py:33: UserWarning: Option --pyprof not specified. Not installing PyProf dependencies!
      warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!")
  Source in /tmp/pip-req-build-6n3oall8 has version 0.1, which satisfies requirement apex==0.1 from file:///home/athena/apex
  Removed apex==0.1 from file:///home/athena/apex from build tracker '/tmp/pip-req-tracker-8e39xf3g'
Skipping bdist_wheel for apex, due to binaries being disabled for it.
Installing collected packages: apex
  Created temporary directory: /tmp/pip-record-e0544af4
    Running command /home/athena/anaconda3/envs/yolov3/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-6n3oall8/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-6n3oall8/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-e0544af4/install-record.txt --single-version-externally-managed --compile --user --prefix=
    torch.__version__  =  1.2.0
    /tmp/pip-req-build-6n3oall8/setup.py:33: UserWarning: Option --pyprof not specified. Not installing PyProf dependencies!
      warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!")
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-req-build-6n3oall8/setup.py", line 75, in <module>
        raise RuntimeError("--cuda_ext was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.")
    RuntimeError: --cuda_ext was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.
  Running setup.py install for apex ... error
Cleaning up...
  Removing source in /tmp/pip-req-build-6n3oall8
Removed build tracker '/tmp/pip-req-tracker-8e39xf3g'
ERROR: Command errored out with exit status 1: /home/athena/anaconda3/envs/yolov3/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-6n3oall8/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-6n3oall8/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-e0544af4/install-record.txt --single-version-externally-managed --compile --user --prefix= Check the logs for full command output.
Exception information:
Traceback (most recent call last):
  File "/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/cli/base_command.py", line 188, in main
    status = self.run(options, args)
  File "/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/commands/install.py", line 407, in run
    use_user_site=options.use_user_site,
  File "/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/req/__init__.py", line 58, in install_given_reqs
    **kwargs
  File "/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/req/req_install.py", line 959, in install
    spinner=spinner,
  File "/home/athena/anaconda3/envs/yolov3/lib/python3.7/site-packages/pip/_internal/utils/misc.py", line 931, in call_subprocess
    raise InstallationError(exc_msg)
pip._internal.exceptions.InstallationError: Command errored out with exit status 1: /home/athena/anaconda3/envs/yolov3/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-6n3oall8/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-6n3oall8/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-e0544af4/install-record.txt --single-version-externally-managed --compile --user --prefix= Check the logs for full command output.
1 location(s) to search for versions of pip:
* https://pypi.org/simple/pip/
Getting page https://pypi.org/simple/pip/
Found index url https://pypi.org/simple
Starting new HTTPS connection (1): pypi.org:443
https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 11972
Analyzing links from page https://pypi.org/simple/pip/
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Given no hashes to check 127 links for project 'pip': discarding no candidates
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ptrblck commented 5 years ago

Hi @glenn-jocher,

apparently nvcc wasn't found on your system:

RuntimeError: --cuda_ext was requested, but nvcc was not found.  Are you sure your environment has nvcc available?  If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.
  Running setup.py install for apex ... error

Could you check for a valid CUDA installation on your local machine (docker container) and locate the compiler via which nvcc? This should point to a path, where CUDA and nvcc is installed, e.g. /usr/local/cuda-10.1/bin/nvcc.

cduguet commented 5 years ago

The reason here is that conda does not install nvcc with its cudatoolkit installation. conda's cudatoolkit is just a subset of Nvidia's nvidia-cuda-toolkit. More info on https://stackoverflow.com/questions/56470424/nvcc-missing-when-installing-cudatoolkit

Be careful, however, of installing it them from apt-get, otherwise you might break your dependencies. Currenlty, conda supports cuda10.0 while apt-get installs 10.1. I am currently having that problem and trying to sort it out. Hopefully I find a way to do everything from conda (installing nvcc).

cduguet commented 5 years ago

I decided to use a docker container and forget about the problem

ChristofHenkel commented 5 years ago

I actually have the same problem.

Could you check for a valid CUDA installation

as far as I understand pip install torch installed my cuda. I tried to install cuda toolkit on top but that broke the graphics driver...

Lets say I start with a freshly installed Ubuntu 16.04 + miniconda + pytorch Whats the minimum invasive to install nvcc and get apex running?

Edit What worked for me at the end was installing the cudatoolkit only (without graphics driver)

wget http://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
sudo sh cuda_10.1.243_418.87.00_linux.run --silent --toolkit
echo "export PATH=/usr/local/cuda-10.1/bin:/usr/local/cuda-10.1/NsightCompute-2019.1${PATH:+:${PATH}}" >> .bashrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}" >> .bashrc
rm cuda_10.1.243_418.87.00_linux.run
ylhsieh commented 4 years ago

I actually have the same problem.

Could you check for a valid CUDA installation

as far as I understand pip install torch installed my cuda. I tried to install cuda toolkit on top but that broke the graphics driver...

Lets say I start with a freshly installed Ubuntu 16.04 + miniconda + pytorch Whats the minimum invasive to install nvcc and get apex running?

Edit What worked for me at the end was installing the cudatoolkit only (without graphics driver)

wget http://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run
sudo sh cuda_10.1.243_418.87.00_linux.run --silent --toolkit
echo "export PATH=/usr/local/cuda-10.1/bin:/usr/local/cuda-10.1/NsightCompute-2019.1${PATH:+:${PATH}}" >> .bashrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}" >> .bashrc
rm cuda_10.1.243_418.87.00_linux.run

Many thanks to your great advice! In my case, I use CUDA toolkit 10.0. Therefore I modified your link to wget https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux

Oktai15 commented 4 years ago

@ChristofHenkel many thanks!

tae898 commented 3 years ago

For those of you who needs cuda 11.1

cd
wget https://developer.download.nvidia.com/compute/cuda/11.1.0/local_installers/cuda_11.1.0_455.23.05_linux.run
sudo sh cuda_11.1.0_455.23.05_linux.run --silent --toolkit
echo "export PATH=/usr/local/cuda-11.1/bin:/usr/local/cuda-11.1/nsight-compute-2020.2.0${PATH:+:${PATH}}" >> .zshrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}" >> .zshrc
rm cuda_11.1.0_455.23.05_linux.run

Btw I use zsh so it's .zshrc for me. Change it to .bashrc if you bash is your default shell.

juanma9613 commented 2 years ago

Hi, In my conda environment I have cuda 11.1, so I was trying to follow @tae898 suggestion. But I get the following error, saying that my gcc version is incompatible, I’m using ubuntu 22.04, which by default uses gcc 11.2.0:

[ERROR]: unsupported compiler version: 11.2.0. Use --override to override this check.

/usr/local/cuda-11.1/include/crt/host_config.h:139:2: error: #error -- unsupported GNU version! gcc versions later than 10 are not supported! The nvcc flag ‘-allow-unsupported-compiler’ can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk.

Could someone please give me some help or guidance? thanks

Additional info of my system: cudatoolkit=11.1.74=h6bb024c_0 nvidia-smi output: | NVIDIA-SMI 515.43.04 Driver Version: 515.43.04 CUDA Version: 11.7