error: parameter packs not expanded with ‘...’

[duckworthd]

I suspect this issue is not directly related to instant-ngp's code, but I'll post it here all the same in case anyone else sees a similar issue.

TL;DR there's an issue compiling std_function.h, a dependency of tiny-cuda-nn.

> cmake --build build --config RelWithDebInfo

Consolidate compiler generated dependencies of target tiny-cuda-nn
[  1%] Building CUDA object dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common.cu.o
/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:
  435 |         function(_Functor&& __f)
      |                                                                                                                                                 ^
/usr/include/c++/11/bits/std_function.h:435:145: note:         ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’:
  530 |         operator=(_Functor&& __f)
      |                                                                                                                                                  ^
/usr/include/c++/11/bits/std_function.h:530:146: note:         ‘_ArgTypes’
gmake[2]: *** [dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/build.make:76: dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/common.cu.o] Error 1
gmake[1]: *** [CMakeFiles/Makefile2:306: dependencies/tiny-cuda-nn/src/CMakeFiles/tiny-cuda-nn.dir/all] Error 2
gmake: *** [Makefile:91: all] Error 2

Here's a bit more info on my setup. I'm using CUDA v11.4.4 and GCC v.11.2.0 on Debian. I saw an identical issue when compiling with CUDA v11.6.0.

> nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Oct_11_21:27:02_PDT_2021
Cuda compilation tools, release 11.4, V11.4.152
Build cuda_11.4.r11.4/compiler.30521435_0

> gcc --version
gcc (Debian 11.2.0-13) 11.2.0
Copyright (C) 2021 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Any tips appreciated!

[krasin]

Just as a data point, I don't have this problem and my compiler versions are:

$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Fri_Dec_17_18:16:03_PST_2021
Cuda compilation tools, release 11.6, V11.6.55
Build cuda_11.6.r11.6/compiler.30794723_0

$ gcc --version
gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Note that my GCC version is much older (since I test it on Ubuntu 20.04), while nvcc is from 11.6. Not sure, if that's relevant.

[krasin]

I got curious and tried it with gcc-11/g++-11:

$ mkdir build
$ cd build
$ CC=gcc-11 CXX=g++-11 cmake -GNinja -DCMAKE_BUILD_TYPE=RelWithDebInfo  ..
-- The CXX compiler identification is GNU 11.1.0                                                                                                                                                           
-- The CUDA compiler identification is NVIDIA 11.6.55
...
$ ninja
...

It succeeded.

There must be something else in that Debian environment that makes it wrong.

[duckworthd]

A colleague identified the issue as originating from gcc. Using an older build of GCC (GCC v10.3.1, to be precise) solved my issue.

$ sudo apt install gcc-10 g++-10
$ export CC=/usr/bin/gcc-10
$ export CXX=/usr/bin/g++-10
$ export CUDA_ROOT=/usr/local/cuda
$ ln -s /usr/bin/gcc-10 $CUDA_ROOT/bin/gcc
$ ln -s /usr/bin/g++-10 $CUDA_ROOT/bin/g++
(Build Instant-NGP as described)

[geoeo]

This has reappeared on ubuntu jammy. Default (Aptitude) gcc is 11.2 and cuda version is 11.6.

This is also not fixed with downgrading to gcc-10

The problem is that the aptitude version is cuda toolkit version is 11.5.
When 11.6 is used then this is fixed!
Currently you have to download the toolkit via the ubuntu 20.04 runfile
Then install via sudo sh cuda_11.6.2_510.47.03_linux.run --toolkit --silent --override
Also set your environment flags appropriately.

For me this fixed the issue. I guess the aptitude version should be upgraded!

[sherwoac]

A colleague identified the issue as originating from gcc. Using an older build of GCC (GCC v10.3.1, to be precise) solved my issue.

$ sudo apt install gcc-10 g++-10
$ export CC=/usr/bin/gcc-10
$ export CXX=/usr/bin/g++-10
$ export CUDA_ROOT=/usr/local/cuda
$ ln -s /usr/bin/gcc-10 $CUDA_ROOT/bin/gcc
$ ln -s /usr/bin/g++-10 $CUDA_ROOT/bin/g++
(Build Instant-NGP as described)

Switching to gcc/g++-10 worked for me too. The healthy way to do this is to use update-alternatives and set the default to gcc/++-10 for the build.

[vikasTmz]

A colleague identified the issue as originating from gcc. Using an older build of GCC (GCC v10.3.1, to be precise) solved my issue.

$ sudo apt install gcc-10 g++-10
$ export CC=/usr/bin/gcc-10
$ export CXX=/usr/bin/g++-10
$ export CUDA_ROOT=/usr/local/cuda
$ ln -s /usr/bin/gcc-10 $CUDA_ROOT/bin/gcc
$ ln -s /usr/bin/g++-10 $CUDA_ROOT/bin/g++
(Build Instant-NGP as described)

This worked for me as well.

Specs
Ubuntu: 22.04.1 LTS
GPU: Quadro P6000
CUDA version: 11.6

original GCC/G++ version == 11.2 did not work. Downgraded to 10 and it worked.

[lucasjinreal]

Why the solution is change gcc not change code?
change g++10 not work for me, but the code can be changed to support more decent gccs

[javl]

@jinfagang Do you have an example of what to change for this to work?

[edtechchrward]

Apparently, this is a C++ syntax problem that has been around for some time - as instanced in this post dated 2015:
https://cplusplus.com/forum/beginner/156793/
It was supposed to have been fixed for gcc 12.0 in 2022:
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=102104
But apparently the bug is still around and causing problems in 2023.

How do I tell the system to build instant-ngp with g++-12 and gcc-12 instead of versions 11?

[edavalosanaya]

Using the approach recommended by this fixed my issue.

Specs:
Ubuntu 22.04 LTS
nvcc: 11.5
GPU: RTX 3080

[kungfooman]

I did what @pullitdown said, but still couldn't get it to compile, so I did:

apt purge gcc-11
apt purge g++-11

But it still didn't compile and for some reason c++ still referenced version 11 files:

data@datapc:~$ c++ -v 
Ubuntu clang version 14.0.0-1ubuntu1.1
Target: x86_64-pc-linux-gnu
Thread model: posix
InstalledDir: /usr/bin
Found candidate GCC installation: /usr/bin/../lib/gcc/x86_64-linux-gnu/10
Found candidate GCC installation: /usr/bin/../lib/gcc/x86_64-linux-gnu/11
Selected GCC installation: /usr/bin/../lib/gcc/x86_64-linux-gnu/11
Candidate multilib: .;@m64
Selected multilib: .;@m64
Found CUDA installation: /usr/lib/cuda, version 11.5

Finally resolved via: sudo rm /usr/bin/../lib/gcc/x86_64-linux-gnu/11 -r

(now it just finally seemed to compile... but proceed with caution when doing rm)

[JzHuai0108]

Drawing inspirations from @edavalosanaya and the referenced issue, and the stackoverflow question about using gcc in pip command,
I fixed the problem like this,

sudo apt install g++-10
CXX=g++-10 CC=gcc-10 LD=g++-10 pip install <submodules/simple-knn:the module name>

[drzraf]

On Ubuntu 22.04, gcc-9 (9.5) could compiles while gcc-11 (11.4) presents OP syntax problem.
gcc-12 is unsupported: the build process fails with an error message, as does gcc-9 unless ...-allow-unsupported-compiler is passed too. Not all versions of nvcc appear to support NVCC_CCBIN (or not consistently), so relying on -ccbin is the safest option.

[GuintherKovalski]

Using the approach recommended by this fixed my issue.

Specs: Ubuntu 22.04 LTS nvcc: 11.5 GPU: RTX 3080

Also worked on my specs:

Specs:
Ubuntu 22.04
LTS nvcc: 11.5
CUDA: release 11.5, V11.5.119
GPU: RTX 4090

avoiding upgrade cuda to 11.6 saved a lot of time, thanks a lot!

[minhnghia1103]

Using Kaggle with cuda_12.3 and can't downgrade cuda version is there any way?

[EmreKaratopuk]

I first tried to downgrade my gcc version from 11 to 10. However this did not work. Using the DCMAKE_CUDA_COMPILER flag solved my issue by running cmake . -B build -DCMAKE_CUDA_COMPILER=/usr/local/cuda-<your cuda version>/bin/nvcc with gcc 11

OS: Ubuntu 22.04.5 LTS
/usr/local/cuda-11.7/bin/nvcc --version: 11.7
CUDA: 11.7
GPU: RTX 3090

[Jackarry188]

This has reappeared on ubuntu jammy. Default (Aptitude) gcc is 11.2 and cuda version is 11.6.

This is also not fixed with downgrading to gcc-10

The problem is that the aptitude version is cuda toolkit version is 11.5. When 11.6 is used then this is fixed! Currently you have to download the toolkit via the ubuntu 20.04 runfile Then install via sudo sh cuda_11.6.2_510.47.03_linux.run --toolkit --silent --override Also set your environment flags appropriately.

For me this fixed the issue. I guess the aptitude version should be upgraded!

worked for me, thinks.

Firtly, I tried rolling back GCC to gcc-10 and using CUDA version 11.5, but that didn't work. Later, I upgraded CUDA to 11.6 through to "sudo sh cuda_11.6.2_510.47.03_linux.run --toolkit --silent --override" , and the system automatically updated 11.5 to 11.6. After that, I added the following environment variables to ~/.bashrc:

export PATH=/usr/local/cuda-11.6/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.6/lib64:$LD_LIBRARY_PATH

then recompiled, and the issue was resolved!

ENV:
OS:Ubuntu 22.04.5 LTS
NVCC:Cuda compilation tools, release 11.6, V11.6.124
GCC:gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04)
GPU:RTX3090

[hyperfield]

Getting this error on Ubuntu jammy with gcc 11 and 12, cuda-toolkit-12-8.