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/cuopt-developer

@e37c0a0
by NVIDIA Corporationnvidia/skills3.5k stars
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Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.

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Use this Skill: https://skilld.dev/gh/nvidia/skills/cuopt-developer

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referencesbuild_and_test.md

≈419 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Build & Test

Read this for component-level build commands, run-test commands, and PARALLEL_LEVEL detail. Pre-flight checks (CUDA driver compatibility, conda env activation, dataset setup) live in SKILL.md → Build & Test → Pre-flight Checks — always run those first.

PARALLEL_LEVEL

PARALLEL_LEVEL controls the number of parallel compile jobs. It defaults to $(nproc) (all cores), which can cause OOM on machines with limited RAM — CUDA compilation needs roughly 4–8 GB per job. Set it based on available RAM:

export PARALLEL_LEVEL=8   # adjust based on available RAM

Build Everything

./build.sh

Build Specific Components

./build.sh --help                                       # Lists build options
./build.sh libcuopt                                     # C++ library
./build.sh libcuopt --skip-routing-build --skip-tests-build --skip-c-python-adapters --cache-tool=ccache  # native LP/MIP-focused build without routing/tests/adapters
./build.sh cuopt                                        # Python package
./build.sh cuopt_server                                 # Server
./build.sh docs                                         # Documentation

Run Tests

Activate the conda env used to build first (conda activate <env-name>) and ensure datasets are fetched — see Pre-flight Checks in SKILL.md.

# C++ tests
ctest --test-dir cpp/build

# Python tests
pytest -v python/cuopt/cuopt/tests

# Server tests
pytest -v python/cuopt_server/tests

Source: SKILL.md on GitHub

Third-party checks

1 alert3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    The cuopt-developer skill is a comprehensive and secure development environment guide for the NVIDIA cuOpt project. It incorporates robust safety guardrails, including explicit prohibitions against privileged operations (sudo), system-level modifications, and insecure coding practices such as the use of 'eval()' on user input or remote script execution via 'curl | bash'. The skill emphasizes reproducible, user-space environment management using conda and standard project tools.

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Provenance

Signed by skilld at e37c0a0. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 months ago

Capability

version
26.08.00
Other metadata
metadata
{
  "author": "NVIDIA cuOpt Team",
  "tags": [
    "cuopt",
    "development",
    "contributing",
    "cpp-cuda",
    "python-bindings"
  ]
}

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