Open igigod opened 3 years ago
can you please try to install powershell if you do not already have it and build using cmake toolchain (just run ./build.ps1)
@cenit Powershell on Ubuntu?
@igigod Part of the NVIDIA installation is making sure the installed tools are in your path. The NVIDIA CUDA software should be installed in /opt/nvidia/...
and /usr/local/cuda/
. For example, once installed on my Ubuntu 18.04, it looks like this for me:
> ls -lh /usr/local/
total 36K
drwxrwxr-x 2 root root 4.0K Apr 20 22:33 bin/
lrwxrwxrwx 1 root root 22 Apr 20 22:34 cuda -> /etc/alternatives/cuda/
lrwxrwxrwx 1 root root 25 Apr 20 22:34 cuda-11 -> /etc/alternatives/cuda-11/
drwxr-xr-x 15 root root 4.0K Apr 20 22:33 cuda-11.3/
I didn't create these directories and symbolic links, it should automatically happen if you follow the installation steps for CUDA. The other directories should look like this:
> ls -lh /opt/nvidia/
total 8.0K
drwxr-xr-x 3 root root 4.0K Apr 20 22:33 nsight-compute/
drwxrwxr-x 3 root root 4.0K Apr 20 22:33 nsight-systems/
and:
> ls -lh /opt/nvidia/nsight-compute/2021.1.0/
total 72K
drwxr-xr-x 13 root root 4.0K Apr 20 22:33 docs/
-rw-r--r-- 1 root root 33K Mar 8 13:16 EULA.txt
drwxr-xr-x 4 root root 4.0K Apr 20 22:33 extras/
drwxr-xr-x 3 root root 4.0K Apr 20 22:33 host/
...etc...
The only part I change by hand is my path, where I've manually added the following two entries:
/opt/nvidia/nsight-compute/2021.1.0
/usr/local/cuda/bin
You'll note that nvcc is in /usr/local/cuda/bin/
:
> which nvcc
/usr/local/cuda/bin/nvcc
yes powershell in ubuntu :)
On my computer it looks like:
$ ls -lh /usr/local/
total 32K
lrwxrwxrwx 1 root root 21 kwi 20 09:00 cuda -> /usr/local/cuda-11.2/
drwxr-xr-x 17 root root 4,0K kwi 20 09:01 cuda-11.2
drwxr-xr-x 2 root root 4,0K lut 3 2020 etc
drwxr-xr-x 2 root root 4,0K lut 3 2020 games
drwxr-xr-x 2 root root 4,0K lut 3 2020 include
drwxr-xr-x 6 root root 4,0K mar 25 14:18 lib
lrwxrwxrwx 1 root root 9 mar 7 19:14 man -> share/man
drwxr-xr-x 2 root root 4,0K lut 3 2020 sbin
drwxr-xr-x 8 root root 4,0K mar 8 21:11 share
drwxr-xr-x 2 root root 4,0K lut 3 2020 src
and:
$ ls -lh /opt/nvidia/
ls: cannot access '/opt/nvidia/': No such file or directory
and:
$ which nvcc
/usr/local/cuda-11.2/bin/nvcc
According to Nvidia docs
9.1.1. Environment Setup The PATH variable needs to include $ export PATH=/usr/local/cuda-11.3/bin${PATH:+:${PATH}}. Nsight Compute has moved to /opt/nvidia/nsight-compute/ only in rpm/deb installation method. When using .run installer it is still located under /usr/local/cuda-11.3/.
So in my case:
$ ls -lh /usr/local/cuda-11.2/nsight-compute-2020.3.1/
total 72K
drwxr-xr-x 13 root root 4,0K kwi 20 09:00 docs
-rw-r--r-- 1 root root 33K kwi 20 09:00 EULA.txt
drwxr-xr-x 4 root root 4,0K kwi 20 09:00 extras
drwxr-xr-x 3 root root 4,0K kwi 20 09:00 host
-rwxr-xr-x 1 root root 404 kwi 20 09:00 ncu
-rwxr-xr-x 1 root root 115 kwi 20 09:00 ncu-ui
-rwxr-xr-x 1 root root 115 kwi 20 09:00 nv-nsight-cu
-rwxr-xr-x 1 root root 404 kwi 20 09:00 nv-nsight-cu-cli
drwxr-xr-x 2 root root 4,0K kwi 20 09:00 sections
drwxr-xr-x 6 root root 4,0K kwi 20 09:00 target
Still I have no idea hov to fix it
The only part I change by hand is my path, where I've manually added the following two entries: /opt/nvidia/nsight-compute/2021.1.0 /usr/local/cuda/bin You'll note that nvcc is in /usr/local/cuda/bin/:
I don't know what to do. Could you tell me how to do step by step?
can you please really try to install powershell and then run ./build.ps1? It should be as much automatic as possible. We can try our best to make it work for you if you give any feedback on this procedure
@cenit,I meet this problem again. I remove the build/darknet/
and rebuild it with VScode.It can build darknet
.But today I open my vscode and rebuild it ,it remind:
[main] Building folder: darknet
[main] Configuring folder: darknet
[proc] Executing command: /usr/local/bin/cmake --no-warn-unused-cli -DCMAKE_EXPORT_COMPILE_COMMANDS:BOOL=TRUE -DCMAKE_BUILD_TYPE:STRING=Release -DCMAKE_C_COMPILER:FILEPATH=/bin/gcc-9 -DCMAKE_CXX_COMPILER:FILEPATH=/bin/g++-9 -H/home/xiaopeng/YOLOV4/darknet -B/home/xiaopeng/YOLOV4/darknet/build -G "Unix Makefiles"
[cmake] Not searching for unused variables given on the command line.
[cmake] -- The C compiler identification is GNU 9.3.0
[cmake] -- The CXX compiler identification is GNU 9.3.0
[cmake] -- Detecting C compiler ABI info
[cmake] -- Detecting C compiler ABI info - done
[cmake] -- Check for working C compiler: /bin/gcc-9 - skipped
[cmake] -- Detecting C compile features
[cmake] -- Detecting C compile features - done
[cmake] -- Detecting CXX compiler ABI info
[cmake] -- Detecting CXX compiler ABI info - done
[cmake] -- Check for working CXX compiler: /bin/g++-9 - skipped
[cmake] -- Detecting CXX compile features
[cmake] -- Detecting CXX compile features - done
[cmake] -- Looking for a CUDA compiler
[cmake] -- Looking for a CUDA compiler - NOTFOUND
[cmake] -- Configuring incomplete, errors occurred!
[cmake] See also "/home/xiaopeng/YOLOV4/darknet/build/CMakeFiles/CMakeOutput.log".
[cmake] See also "/home/xiaopeng/YOLOV4/darknet/build/CMakeFiles/CMakeError.log".
[cmake] CMake Error at CMakeLists.txt:92 (message):
[cmake] CUDA not found, please build explicitly with -DENABLE_CUDA=OFF if you do
[cmake] not want CUDA
[cmake]
AGAIN.... My cuda info:
(base) xiaopeng@xiaopeng-HP-Z800-Workstation:~/Code$ ls -lh /usr/local/
总用量 36K
drwxr-xr-x 2 root root 4.0K 4月 24 20:01 bin
lrwxrwxrwx 1 root root 21 3月 29 08:53 cuda -> /usr/local/cuda-10.1/
drwxrwxrwx 18 root root 4.0K 3月 29 08:53 cuda-10.1
drwxr-xr-x 2 root root 4.0K 8月 1 2020 etc
drwxr-xr-x 2 root root 4.0K 8月 1 2020 games
drwxrwxrwx 3 root root 4.0K 4月 10 15:50 include
drwxr-xr-x 5 root root 4.0K 4月 22 09:05 lib
lrwxrwxrwx 1 root root 9 3月 19 14:33 man -> share/man
drwxr-xr-x 2 root root 4.0K 8月 1 2020 sbin
drwxr-xr-x 10 root root 4.0K 3月 24 10:58 share
drwxr-xr-x 2 root root 4.0K 8月 1 2020 src
(base) xiaopeng@xiaopeng-HP-Z800-Workstation:~/Code$ ls -lh /usr/local/cuda-10.1
总用量 128K
drwxr-xr-x 3 root root 4.0K 3月 29 08:53 bin
drwxr-xr-x 5 root root 4.0K 3月 29 08:53 doc
-rw-r--r-- 1 root root 59K 3月 29 08:53 EULA.txt
drwxr-xr-x 6 root root 4.0K 3月 29 08:53 extras
lrwxrwxrwx 1 root root 28 3月 29 08:53 include -> targets/x86_64-linux/include
drwxr-xr-x 5 root root 4.0K 3月 29 08:53 jre
lrwxrwxrwx 1 root root 24 3月 29 08:53 lib64 -> targets/x86_64-linux/lib
drwxr-xr-x 8 root root 4.0K 3月 29 08:53 libnsight
drwxr-xr-x 7 root root 4.0K 3月 29 08:53 libnvvp
drwxr-xr-x 7 root root 4.0K 3月 29 08:53 NsightCompute-2019.1
drwxr-xr-x 2 root root 4.0K 3月 29 08:53 nsightee_plugins
drwxr-xr-x 4 root root 4.0K 3月 29 08:53 NsightSystems-2018.3
drwxr-xr-x 3 root root 4.0K 3月 29 08:53 nvml
drwxr-xr-x 7 root root 4.0K 3月 29 08:53 nvvm
drwxr-xr-x 11 root root 4.0K 3月 29 08:53 samples
drwxr-xr-x 3 root root 4.0K 3月 29 08:53 share
drwxr-xr-x 2 root root 4.0K 3月 29 08:53 src
drwxr-xr-x 3 root root 4.0K 3月 29 08:53 targets
drwxr-xr-x 2 root root 4.0K 3月 29 08:54 tools
-rw-r--r-- 1 root root 22 3月 29 08:53 version.txt
(base) xiaopeng@xiaopeng-HP-Z800-Workstation:~/Code$ which nvcc
/usr/local/cuda/bin/nvcc
(base) xiaopeng@xiaopeng-HP-Z800-Workstation:~/Code$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:17_PST_2019
Cuda compilation tools, release 10.1, V10.1.105
when I ./build.ps1:
(base) xiaopeng@xiaopeng-HP-Z800-Workstation:~/YOLOV4/darknet$ ./build.ps1
Get-Command: /home/xiaopeng/YOLOV4/darknet/build.ps1:13
Line |
13 | $NINJA_EXE = Get-Command ninja | Select-Object -ExpandProperty Defini …
| ~~~~~~~~~~~~~~~~~
| The term 'ninja' is not recognized as a name of a cmdlet,
| function, script file, or executable program. Check the
| spelling of the name, or if a path was included, verify that
| the path is correct and try again.
Using CMake from /usr/local/bin/cmake
Exception: /home/xiaopeng/YOLOV4/darknet/build.ps1:23
Line |
23 | throw "Could not find Ninja, please install it"
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| Could not find Ninja, please install it
git pull? are you up to date? seems not
@cenit OK,yeah, it is not the latest version.I am training with it.Maybe it is because I am using darknet
for training so I cannot rebuild it?
I will try git pull later,my train will be finished soon.I will reply you later.
@SpongeBab you might try #7644 and tell me if it's working better for your problem. Please also do not spam this issue which is on another topic
@cenit .OK,I'm sorry.Please allow me to say one more.I found the reason.Maybe you also care about it。 @igigod .I found a reason. I just use the Makefile to make.And then it remind me:
/usr/local/cuda/include/crt/host_config.h:129:2: error: #error -- unsupported GNU version! gcc versions later than 8 are not supported!
129 | #error -- unsupported GNU version! gcc versions later than 8 are not supported!
| ^~~~~
The cuda version and gcc version must correspond. I debugged another program and upgraded my gcc version to gcc9
.。You can go to https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.htmlto get more information.Cuda 11.2 is latest,maybe your gcc version is not up to date.
I'm using VSCode,and I found change the gcc version in VSCode doesn't work.You must change the gcc version in the terminal with:
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 50
In the terminal My gcc version is the gcc version 9.3.0 (Ubuntu 9.3.0-17ubuntu1~20.04)
.And I change the version by VSCode.Like this.
Then output:
cmake] See also "/home/xiaopeng/YOLOV4/darknet/build/CMakeFiles/CMakeOutput.log".
[cmake] See also "/home/xiaopeng/YOLOV4/darknet/build/CMakeFiles/CMakeError.log".
[cmake] CMake Error at CMakeLists.txt:92 (message):
[cmake] CUDA not found, please build explicitly with -DENABLE_CUDA=OFF if you do
[cmake] not want CUDA
[cmake]
Hello, I'm not able to compile pure darknet. I've installed drivers according to this tutorial: https://medium.com/analytics-vidhya/install-cuda-11-2-cudnn-8-1-0-and-python-3-9-on-rtx3090-for-deep-learning-fcf96c95f7a1
In Makefile I leaved only
ARCH= -gencode arch=compute_86,code=[sm_86,compute_86]
and comment other stuff with ARCHHow to solve it? Ubuntu 18.04 LTS
.bashrc:
export PATH=/usr/local/cuda-11.2/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} export CUDA_HOME=/usr/local/cuda export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
conda .yml file