Can someone please write a definitive guide on how to avoid "Ceres was compiled without CUDA/cuDSS support" error on Windows 11

Hello,

I very much would like to be able to run the bundle adjustment on my GPU. I followed several guides, none of them worked out for me. I'm on Windows 11 and I have a 30 series RTX Nvidia GPU. Please if you know or happen to know someone who knows how to do this, don't hesitate and reply to this issue.

Thanks in advance,

okj

OK, I figured it out, here's my guide. I switched to Ubuntu 25.04 as I got frustrated with Win11. Happy Glomapping on the GPU!

sudo apt update && sudo apt upgrade -y
sudo apt install -y build-essential curl zip unzip tar git pkg-config

================================================================================================

sudo apt-get install cmake
sudo apt-get install libgoogle-glog-dev libgflags-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libeigen3-dev
sudo apt-get install libsuitesparse-dev

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install cuda-toolkit

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install cudss

sudo apt-get install libabsl-dev

git clone https://github.com/ceres-solver/ceres-solver.git
cd ceres-solver
mkdir build
cd build
cmake .. -DCMAKE_CUDA_ARCHITECTURES="native" -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF -DBUILD_BENCHMARKS=OFF
make -j4

#in ceres-solver/cmakelists.txt after cmake before project
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

sudo mkdir -p /usr/include/absl/log
sudo ln -s /usr/include/glog/vlog_is_on.h /usr/include/absl/log/vlog_is_on.h

#include "glog/logging.h"

find internal/ceres/ -name ".cc" -exec grep -l "VLOG" {} ; |
xargs grep -L "glog/logging.h" |
while read file; do
sed -i '/^#include.$/a #include "glog/logging.h"' "$file"
done

make -j4
sudo make install

================================================================================================

sudo apt-get install
git
cmake
ninja-build
build-essential
libboost-program-options-dev
libboost-graph-dev
libboost-system-dev
libeigen3-dev
libfreeimage-dev
libmetis-dev
libgoogle-glog-dev
libgtest-dev
libgmock-dev
libsqlite3-dev
libglew-dev
qtbase5-dev
libqt5opengl5-dev
libcgal-dev
libceres-dev
libcurl4-openssl-dev
libmkl-full-dev

git clone https://github.com/colmap/colmap.git
cd colmap
mkdir build
cd build
cmake .. -GNinja -DBLA_VENDOR=Intel10_64lp -DCMAKE_CUDA_ARCHITECTURES="86" -DCMAKE_BUILD_TYPE=Release

#put this in cmakelists before project after cmake
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

sudo ninja
sudo ninja install

================================================================================================

sudo apt install libflann-dev

#remove -werror in glomap/glomap/cmakelists.txt
-werror in glomap/build/_deps/poselib-src/cmakelists.txt

Clone GLOMAP

git clone https://github.com/colmap/glomap.git
cd glomap
mkdir build
cd build
sudo cmake .. -GNinja -DCMAKE_CUDA_ARCHITECTURES=native

#put this in cmakelists before project after cmake
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

sudo ninja && sudo ninja install

UPDATED GUIDE

sudo apt update && sudo apt upgrade -y
sudo apt install -y build-essential curl zip unzip tar git pkg-config

================================================================================================

sudo apt-get install cmake
sudo apt-get install libgoogle-glog-dev libgflags-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libeigen3-dev
sudo apt-get install libsuitesparse-dev

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install cuda-toolkit

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install cudss

sudo apt-get install libabsl-dev

git clone https://github.com/ceres-solver/ceres-solver.git
cd ceres-solver
mkdir build
cd build
cmake .. -DCMAKE_CUDA_ARCHITECTURES="native" -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF -DBUILD_BENCHMARKS=OFF
make -j4

#in ceres-solver/cmakelists.txt after cmake before project
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

cd ..

find internal/ceres/ -name ".cc" -exec grep -l "VLOG" {} +
| xargs grep -L 'glog/logging.h'
| while read -r file; do
sed -i '/^#include[[:space:]][<"].*[>"]/a #include "glog/logging.h"' "$file"
done

sudo mkdir -p /usr/include/absl/log
sudo ln -s /usr/include/glog/vlog_is_on.h /usr/include/absl/log/vlog_is_on.h

make -j4
sudo make install

================================================================================================

sudo apt-get install git cmake ninja-build build-essential libboost-program-options-dev libboost-graph-dev libboost-system-dev libeigen3-dev libfreeimage-dev libmetis-dev libgoogle-glog-dev libgtest-dev libgmock-dev libsqlite3-dev libglew-dev qtbase5-dev libqt5opengl5-dev libcgal-dev libceres-dev libcurl4-openssl-dev libmkl-full-dev

git clone https://github.com/colmap/colmap.git
cd colmap
mkdir build
cd build
cmake .. -GNinja -DBLA_VENDOR=Intel10_64lp -DCMAKE_CUDA_ARCHITECTURES="86" -DCMAKE_BUILD_TYPE=Release -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-12.6 -DCMAKE_CUDA_COMPILER=/usr/local/cuda-12.6/bin/nvcc

#put this in cmakelists before project after cmake
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

sudo apt install libcublas12

sudo ninja
sudo ninja install

================================================================================================

sudo apt install libflann-dev

#remove -werror in glomap/glomap/cmakelists.txt
-werror in glomap/build/_deps/poselib-src/cmakelists.txt

git clone https://github.com/colmap/glomap.git
cd glomap
mkdir build
cd build
sudo cmake .. -GNinja -DCMAKE_CUDA_ARCHITECTURES=native

#put this in cmakelists before project after cmake
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

sudo ninja
sudo ninja install

im not great at linux, could you add a bit of additional info? mainly how do i run all of these commands, do i copy and paste the entire command list to a single .sh file? Everytime i have run it, even on a clean ubuntu 25.04 install it fails for one or two different reasons, i don't expect you to debug it for me i just want to know if im doing it right in the first place.

Why windows cuda release not work?

Same issue here, downloaded the 1.2.0 from Oct 31.

I20251226 15:54:05.091052 77596 global_positioning.cc:52] Setting up the global positioner problem
W20251226 15:54:08.770196 77596 global_positioning.cc:512] Requested to use GPU for bundle adjustment, but Ceres was compiled without CUDA support. Falling back to CPU-based dense solvers.
W20251226 15:54:08.770573 77596 global_positioning.cc:529] Requested to use GPU for bundle adjustment, but Ceres was compiled without cuDSS support. Falling back to CPU-based sparse solvers.

Obviously I downloaded glomap-x64-windows-cuda.zip

Look here for some guidance:
#179 (comment)

Navigation Menu

Repository navigation

Can someone please write a definitive guide on how to avoid "Ceres was compiled without CUDA/cuDSS support" error on Windows 11 #213

Clone GLOMAP

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Can someone please write a definitive guide on how to avoid "Ceres was compiled without CUDA/cuDSS support" error on Windows 11 #213

Description

Activity

okj-okj commented on Sep 15, 2025

Clone GLOMAP

okj-okj commented on Sep 17, 2025

bossowl33 commented on Nov 16, 2025

Kation commented on Dec 6, 2025

rlesac commented on Dec 26, 2025

DuVogel87 commented on Jan 21, 2026

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions