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/holoscan-install-source

@a7c1463
by NVIDIA Corporationnvidia/skills3.5k stars
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Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.

Use this Skill: https://skilld.dev/gh/nvidia/skills/holoscan-install-source

This session only. Nothing lands on disk.

SKILL.md

≈37 tokens always: the name and description. ≈1.4k when used: this file. ≈3.1k more on demand in 3 files.

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 all works), and docker-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 ./run script builds inside a container; this is not a true bare-metal build.
  • Cross-compiling to aarch64 needs qemu-user-static on 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

Source: SKILL.md on GitHub

1 warning3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    This skill facilitates the source build of the NVIDIA Holoscan SDK using official NVIDIA resources. It includes standard procedures for adding GPG keys and software repositories from the vendor's GitHub infrastructure and uses elevated privileges to configure the local Docker environment for GPU support. These operations are consistent with the skill's primary purpose and leverage trusted sources.

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  • Snyk3mo

    Risk: MEDIUM · 3 issues

Signed by skilld at a7c1463. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 4 months ago
version
1.0.0
Other metadata
metadata
{
  "author": "Holoscan Team <holoscan-team@nvidia.com>",
  "github-url": "https://github.com/nvidia-holoscan/holoscan-sdk",
  "tags": [
    "holoscan",
    "install",
    "source",
    "build",
    "cmake"
  ]
}

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