Holoscan install source
Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.From its SKILL.md
npx -y skills add NVIDIA/skills --skill holoscan-install-sourceAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Holoscan SDK — Build from Source
Purpose
Build the Holoscan SDK from the nvidia-holoscan/holoscan-sdk source tree using its ./run script (which builds inside a Docker container), producing a local install tree consumable as a CMake dependency.
Prerequisites
- Linux host with NVIDIA GPU + driver (
nvidia-smi). git, Docker with NVIDIA Container Toolkit (docker run --gpus allworks), anddocker-buildx-plugin.- ~20 GB free disk for the build container + build/install trees.
- 10–30 min for a clean first build.
Limitations
- Only recommended when published packages (Conda / container / apt / wheel) don't fit — debug symbols, custom CMake options, or unsupported configs.
- Still requires Docker — the
./runscript builds inside a container; this is not a true bare-metal build. - Cross-compiling to aarch64 needs
qemu-user-staticon the host.
Step 0: Consult the Official Install Instructions
Always fetch the "Build from Source" section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html (and the linked GitHub README.md / DEVELOP.md for the chosen tag) before building. Extract: required ./run flags for the target architecture and CUDA major, supported branches/tags, any Dockerfile patches called out for the release, and the test names recommended for verification. If the doc disagrees with anything below, the doc wins.
Step 1: Prerequisites
Check that git and Docker (with GPU passthrough) are available:
git --version
docker --version
docker run --rm --gpus all ubuntu:22.04 nvidia-smi
- If Docker is missing → help install from https://docs.docker.com/engine/install/
- If GPU passthrough fails → install NVIDIA Container Toolkit:
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \ | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \ | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit sudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart docker - If Docker buildx is missing:
sudo apt-get install docker-buildx-plugin
Step 2: Clone the Repository
Clone repo to ~/holoscan/holoscan-sdk if needed
mkdir -p ~/holoscan/
git clone https://github.com/nvidia-holoscan/holoscan-sdk.git
cd ~/holoscan/holoscan-sdk
To build a specific release tag (recommended for stability):
git tag | grep -E '^v[0-9]' | sort -V | tail -5 # list recent tags
git checkout v<VERSION> # e.g. v4.1.0
Step 3: Build
The ./run build script handles container creation, CMake configuration, compilation, and install in one step. Warn the user this takes 10–30 minutes on first run (downloads base image + compiles).
./run build
Common options:
| Flag | Purpose |
|---|---|
--type debug | Debug build (symbols, no optimization) |
--type RelWithDebInfo | Release + debug symbols |
--arch aarch64 | Cross-compile for ARM64 (needs sudo apt install qemu-user-static) |
--gpu igpu | iGPU build for Jetson/IGX |
--dryrun | Preview commands without executing |
If CMake cache errors occur after changing options:
./run clear_cache && ./run build
Output lands in these folders, and can be retrieved with ./run get_build_dir and ./run get_install_dir
- Build dir:
build-cu<N>-<arch>/ - Install dir:
install-cu<N>-<arch>/.
Step 4: Run Tests
Run the following tests
- EXAMPLE_CPP_HELLO_WORLD_TEST
- EXAMPLE_PYTHON_HELLO_WORLD_TEST
- EXAMPLE_CPP_TENSOR_INTEROP_TEST
- EXAMPLE_PYTHON_TENSOR_INTEROP_TEST
- EXAMPLE_CPP_VIDEO_REPLAYER_TEST
- EXAMPLE_PYTHON_VIDEO_REPLAYER_TEST
./run test
To run all six required tests at once, use a single-quoted regex (the | must be quoted to prevent bash from treating it as a pipe):
./run test --options "-R 'EXAMPLE_CPP_HELLO_WORLD_TEST|EXAMPLE_PYTHON_HELLO_WORLD_TEST|EXAMPLE_CPP_TENSOR_INTEROP_TEST|EXAMPLE_PYTHON_TENSOR_INTEROP_TEST|EXAMPLE_CPP_VIDEO_REPLAYER_TEST|EXAMPLE_PYTHON_VIDEO_REPLAYER_TEST' --output-on-failure"
Run a specific test by name or regex:
./run test --name <test_name>
./run test --options "-R '<regex>' --output-on-failure"
./run test --verbose
Important: Always single-quote the regex string when it contains | — without quotes, bash interprets | as a pipe and the command fails with command not found.
Expected: all tests pass. Note any failures and report them to the user before continuing.
Step 5: Point Applications at the Install Tree
Once built, applications can use the install tree as a CMake dependency. Give the user this path:
/path/to/holoscan-sdk/install-cu<N>-<arch>/
They can set Holoscan_ROOT or CMAKE_PREFIX_PATH to this directory when building their own applications.
Troubleshooting
| Symptom | Fix |
|---|---|
bash: <TEST_NAME>: command not found when running tests | The regex contains | — wrap it in single quotes: --options "-R '<regex>'" |
| CMake cache errors after option change | ./run clear_cache && ./run build |
| Docker buildx not found | sudo apt-get install docker-buildx-plugin |
| GPU not visible inside build container | Verify NVIDIA Container Toolkit and re-run sudo nvidia-ctk runtime configure --runtime=docker |
| Cross-compile fails (aarch64) | Install qemu: sudo apt-get install qemu-user-static |
What ships with it: 4 files
16.6 KB alongside SKILL.md
evals/
- evals.json4.5 KB
- BENCHMARK.md3.9 KB
- skill-card.md3.7 KB
- skill.oms.sig4.5 KB