holoscan-install-source

oleh nvidia

Bangun Holoscan SDK dari sumber melalui skrip ./run di dalam pohon. Gunakan hanya ketika paket yang diterbitkan tidak memenuhi kebutuhan pengguna.

npx skills add https://github.com/nvidia/skills --skill holoscan-install-source

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:

FlagPurpose
--type debugDebug build (symbols, no optimization)
--type RelWithDebInfoRelease + debug symbols
--arch aarch64Cross-compile for ARM64 (needs sudo apt install qemu-user-static)
--gpu igpuiGPU build for Jetson/IGX
--dryrunPreview 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

SymptomFix
bash: <TEST_NAME>: command not found when running testsThe regex contains | — wrap it in single quotes: --options "-R '<regex>'"
CMake cache errors after option change./run clear_cache && ./run build
Docker buildx not foundsudo apt-get install docker-buildx-plugin
GPU not visible inside build containerVerify 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

Lebih banyak skill dari nvidia

compileiq-debug
nvidia
Gunakan ketika ada yang salah: Search() menggantung, semua evaluasi mengembalikan INVALID_SCORE, skor tidak kunjung membaik, setiap konfigurasi mengembalikan angka yang sama, error ptxas…
create-github-pr
nvidia
Buat pull request GitHub menggunakan gh CLI. Gunakan saat pengguna ingin membuat PR baru, mengirimkan kode untuk ditinjau, atau membuka pull request. Kata kunci pemicu -…
nemoclaw-maintainer-cross-issue-sweep
nvidia
Memindai isu terbuka lainnya untuk menemukan isu yang mungkin juga diperbaiki atau secara tidak sengaja dirusak oleh suatu PR tertentu. Menghasilkan peluang perbaikan yang berdekatan dan risiko kontradiksi dengan file:baris…
fhir-basics
nvidia
Mengajarkan agen cara kerja API FHIR R4, sumber daya apa saja yang tersedia, cara melakukan kueri dengan parameter pencarian, dan cara mengurai semua format respons dengan benar…
compileiq-validate-result
nvidia
Gunakan SETELAH Pencarian selesai dan SEBELUM mengklaim percepatan atau mengirim ACF. Muat CSV dump_results, ekstrak kandidat top-K (tujuan tunggal)…
changelog-audit
nvidia
Audit Warp CHANGELOG.md sebelum rilis: pulihkan entri yang hilang, urutkan berdasarkan dampak pengguna, perbaiki bahasa entri, bungkus baris, dan (mode cabang rilis) naikkan bandingkan…
maintain-dynamic-plugins
nvidia
Mempertahankan pemuat plugin dinamis NeMo Relay, manifes, SDK asli Rust, protokol pekerja gRPC, SDK pekerja Python, dokumen, pengujian, dan cakupan alur kerja rilis
dgx-diagnose
nvidia
Diagnosis masalah umum DGX Station GB300 — crash CUDA, penargetan GPU yang salah, bug kontainer vLLM/SGLang, masalah status MIG, kesalahan NVLink/Fabric Manager,…