alexandrosstergiou
commented
3 years ago Hi @Jackyinuo ,
This issue is a duplicate of #16. You can either add the code snippet from the comment or re-build the project with the latest commit.
Best, Alex
Closed Jackyinuo closed 3 years ago
alexandrosstergiou
commented
3 years ago Hi @Jackyinuo ,
This issue is a duplicate of #16. You can either add the code snippet from the comment or re-build the project with the latest commit.
Best, Alex
Jackyinuo
commented
3 years ago @alexandrosstergiou HI alexandrosstergiou
when I rebuild the project, I get this warning. "C:\Users\admin.conda\envs\pt1\lib\site-packages\torch\utils\cpp_extension.py:274: UserWarning: Error checking compiler version for cl: [WinError 2] 系统找不到指定的文件。 warnings.warn('Error checking compiler version for {}: {}'.format(compiler, error))", is it a matter?
alexandrosstergiou
commented
3 years ago I have not tried to install the project on Windows, but from the message, it sounds like your system was not able to find a compiler. Have you installed Visual Studio with "Build Tools for Visual Studio"? If not, do so and try to re-build the project.
Best, Alex
Jackyinuo
commented
3 years ago @alexandrosstergiou ok,thanks. when I build on ubuntu"make instalL", " /bin/sh: 1: :/usr/local/cuda/bin/nvcc: not found" happens, I also try vim ~/.bashrc, but the same happens. export PATH=/usr/local/cuda/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
alexandrosstergiou
commented
3 years ago I assume that you have reloaded your bashrc settings afterward (i.e. $source ~/.bashrc)? If so, do you get the nvcc version with nvcc --version? In general, I would just suggest re-installing CUDA, CUDA toolkit etc.
Jackyinuo
commented
3 years ago @alexandrosstergiou
l try the steps including "source ~/.bashrc","nvcc --version",and "make instaell", but the problem happens.
the pytorch and cuda version are 1.7.0, 11.0 respectively.
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Thu_Jun_11_22:26:38_PDT_2020
Cuda compilation tools, release 11.0, V11.0.194
Build cuda_11.0_bu.TC445_37.28540450_0
$ make install
rm -rf *.egg-info
rm -rf build dist
python setup.py install
running install
running bdist_egg
running egg_info
creating SoftPool.egg-info
writing SoftPool.egg-info/PKG-INFO
writing dependency_links to SoftPool.egg-info/dependency_links.txt
writing top-level names to SoftPool.egg-info/top_level.txt
writing manifest file 'SoftPool.egg-info/SOURCES.txt'
reading manifest file 'SoftPool.egg-info/SOURCES.txt'
writing manifest file 'SoftPool.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
creating build
creating build/lib.linux-x86_64-3.8
creating build/lib.linux-x86_64-3.8/SoftPool
copying SoftPool/idea.py -> build/lib.linux-x86_64-3.8/SoftPool
copying SoftPool/init.py -> build/lib.linux-x86_64-3.8/SoftPool
running build_ext
building 'softpool_cuda' extension
creating /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8
creating /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA
Emitting ninja build file /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/2] :/usr/local/cuda:/usr/local/cuda/bin/nvcc -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/TH -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/THC -I:/usr/local/cuda:/usr/local/cuda/include -I/home/phzhou/anaconda3/envs/pt1/include/python3.8 -c -c /disk1/huihui/SoftPool-master/pytorch/CUDA/softpool_cuda_kernel.cu -o /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA/softpool_cuda_kernel.o -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=softpool_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -std=c++14
FAILED: /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA/softpool_cuda_kernel.o
:/usr/local/cuda:/usr/local/cuda/bin/nvcc -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/TH -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/THC -I:/usr/local/cuda:/usr/local/cuda/include -I/home/phzhou/anaconda3/envs/pt1/include/python3.8 -c -c /disk1/huihui/SoftPool-master/pytorch/CUDA/softpool_cuda_kernel.cu -o /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA/softpool_cuda_kernel.o -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=softpool_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_70,code=sm_70 -std=c++14
/bin/sh: 1: :/usr/local/cuda:/usr/local/cuda/bin/nvcc: not found
[2/2] c++ -MMD -MF /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA/softpool_cuda.o.d -pthread -B /home/phzhou/anaconda3/envs/pt1/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/TH -I/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/THC -I:/usr/local/cuda:/usr/local/cuda/include -I/home/phzhou/anaconda3/envs/pt1/include/python3.8 -c -c /disk1/huihui/SoftPool-master/pytorch/CUDA/softpool_cuda.cpp -o /disk1/huihui/SoftPool-master/pytorch/build/temp.linux-x86_64-3.8/CUDA/softpool_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=softpool_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/ATen/Parallel.h:149:0,
from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:12,
from /home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/torch/extension.h:4,
from /disk1/huihui/SoftPool-master/pytorch/CUDA/softpool_cuda.cpp:1:
/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
^ ninja: build stopped: subcommand failed. Traceback (most recent call last): File "/home/phzhou/anaconda3/envs/pt1/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1516, in _run_ninja_build subprocess.run( File "/home/phzhou/anaconda3/envs/pt1/lib/python3.8/subprocess.py", line 512, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "setup.py", line 4, in
alexandrosstergiou
commented
3 years ago I see that you are using anaconda. Did you also install Pytorch from conda (i.e. $ conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch)? Because I have also encountered building problems as well recently if cudatoolkit is on a conda environment.
Best, Alex
Jackyinuo
commented
3 years ago @alexandrosstergiou Hi, alexandrosstergiou. i sure i use the conda to install pytorch etc. should i install pip install pytorch and cudatoolkit?
alexandrosstergiou
commented
3 years ago I believe your problem is that you are using the environment version of cudatoolkit rather than the one (if) installed on your computer. If possible, remove cudatoolkit from your conda environment. If you are still having problems you should probably re-do the install procedure for the cuda toolkit [link], cuDNN [link] and add them to your ~./bashrc file i.e. :
$ echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
$ echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATH' >> ~/.bashrcBest, Alex
alexandrosstergiou
commented
3 years ago Closing dues to inactivity. Feel free to open a new issue if there is a new problem.
Best, Alex
when I input "softpool" in my own CNN, this bug happens
RuntimeError: output_grad.is_contiguous() INTERNAL ASSERT FAILED at "E:\SoftPool-master\pytorch\CUDA\softpool_cuda.cpp":119, please report a bug to PyTorch. output_grad must be a contiguous tensor