release-go-live-binary-build-matrix

Aktualisiert tools/scripts/generate_binary_build_matrix.py, wenn ein PyTorch-Release live geht. Erhöht CURRENT_STABLE_VERSION auf die neue stabile Version, befördert die…

npx skills add https://github.com/pytorch/test-infra --skill release-go-live-binary-build-matrix

Release Go-Live: Binary Build Matrix

Updates tools/scripts/generate_binary_build_matrix.py and the associated test fixtures when a PyTorch release goes live. This mirrors prior PRs such as:

  • Release 2.10 go live. Update release matrix (#7668)
  • Release 2.11 promotion script changes (#7868)
  • Release 2.12 go live. Update release matrix (#8070)

When to use this skill

Use when the user asks to:

  • Advance stable version to X.Y.0 in the binary build matrix
  • Promote release CUDA/ROCm arches now that release X.Y is going live
  • Update generate_binary_build_matrix.py for a new PyTorch release
  • Do "release go live" changes

Target files

FileWhy
tools/scripts/generate_binary_build_matrix.pySource of truth for version + channel arches
tools/tests/assets/build_matrix_*.jsonSnapshot fixtures (compact JSON, must match script output)
tools/tests/update_test_assets.shRegeneration script (canonical)
tools/tests/test_generate_binary_build_matrix.pyTest runner

Instructions

Step 1: Determine the new stable version

Ask the user (if not clear) what version is going live (e.g. 2.12.0). The current state usually looks like:

CURRENT_NIGHTLY_VERSION = "2.13.0"
CURRENT_CANDIDATE_VERSION = "2.12.0"   # about to become stable
CURRENT_STABLE_VERSION   = "2.11.0"    # being replaced

So a "2.12 go live" advances CURRENT_STABLE_VERSION to match CURRENT_CANDIDATE_VERSION. Do NOT touch CURRENT_NIGHTLY_VERSION or CURRENT_CANDIDATE_VERSION in this PR — those are advanced by separate PRs (e.g. Update nightly version to X.Y.Z, [Release X.Y] advance candidate version).

Step 2: Advance CURRENT_STABLE_VERSION

In tools/scripts/generate_binary_build_matrix.py, change the single line:

CURRENT_STABLE_VERSION = "<old>"

to the new stable version.

Step 3: Promote release-channel arches to match test

Compare the three channels in each arches dict:

CUDA_ARCHES_DICT = {
    "nightly": [...],
    "test":    [...],
    "release": [...],   # promote this to match "test"
}

ROCM_ARCHES_DICT = {
    "nightly": [...],
    "test":    [...],
    "release": [...],   # promote this to match "test"
}

If release differs from test, update release to match test. This is the actual "what CUDA/ROCm versions ship with this release" decision — the candidate-channel arches that survived the release cycle become the official release arches.

Also check STABLE_CUDA_VERSIONS — usually already aligned across channels, but verify all three entries point at the same default for the new release.

Step 4: Regenerate test fixtures (MUST use the shell script)

The fixtures are compact (single-line) JSON. The script tools/tests/update_test_assets.sh is the canonical regenerator. Do NOT use python3 -m tools.tests.test_generate_binary_build_matrix --update-reference-files — that pretty-prints with indent=2 and produces a massive churn diff that does not match the file format on main.

Run from the repo root (note the script uses relative paths so cd matters):

cd tools/tests
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --with-xpu disable > assets/build_matrix_linux_wheel_cuda.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --with-rocm disable --with-xpu disable > assets/build_matrix_linux_wheel_cuda_norocm.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --with-cpu disable --with-xpu disable > assets/build_matrix_linux_wheel_nocpu.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --with-cpu disable --with-rocm disable --with-xpu enable > assets/build_matrix_linux_wheel_xpu.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --operating-system="macos" --with-cuda disable --with-rocm disable > assets/build_matrix_macos_wheel.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --operating-system="windows" > assets/build_matrix_windows_wheel_cuda.json
python3 ../scripts/generate_binary_build_matrix.py --build-python-only disable --with-rocm disable --with-cuda disable --operating-system="windows" > assets/build_matrix_windows_wheel_xpu.json

Skip the conda lines from update_test_assets.sh — --package-type conda is broken on main (noted in PR #8065) and the conda fixtures are no longer maintained.

Step 5: Run tests

python3 -m tools.tests.test_generate_binary_build_matrix

Expected: Ran 7 tests in <time>s OK.

Step 6: Verify the diff is minimal

git diff --stat should show roughly:

  • tools/scripts/generate_binary_build_matrix.py: ~4 lines (stable version + release arches list)
  • 7 fixture JSON files: 1 line each (single-line files, change is in-place)

Sanity check: the only diff in fixtures should be "stable_version": "<old>" → "stable_version": "<new>". If a fixture has multi-line / pretty-printed diff, you used the wrong regenerator — revert with git checkout upstream/main -- tools/tests/assets/ and re-run Step 4.

If the CUDA release arches changed, expect new entries in fixtures (e.g. new cu132 rows when adding 13.2 to release).

Step 7: Commit and PR

Suggested commit/PR title pattern (matches history):

Release X.Y go live. Update release matrix

PR body should call out:

  • Advance CURRENT_STABLE_VERSION from <old> to <new>
  • (If applicable) Advance CUDA_ARCHES_DICT["release"] / ROCM_ARCHES_DICT["release"]
  • Regenerate test fixtures via tools/tests/update_test_assets.sh

Common pitfalls

  • Don't pretty-print fixtures. The --update-reference-files test flag writes indent=2. The fixtures on main are single-line. Always use the shell script approach.
  • Don't touch nightly/candidate versions. Those are advanced by separate PRs in the release cycle.
  • upstream is pytorch/test-infra. Branch from upstream/main, push to origin (your fork), open the PR against pytorch/test-infra:main.
  • Stash unrelated WIP. generate_binary_build_matrix.py changes should go in a clean branch off upstream/main — don't pile them onto an unrelated feature branch.

Mehr Skills von pytorch

zephyr
pytorch
Erstelle und konfiguriere ExecuTorch als Zephyr RTOS-Modul für eingebettete Boards. Verwende beim Einrichten eines Zephyr-Workspace mit ET, Hinzufügen von Board-Unterstützung (Overlays,…
aoti-debug
pytorch
Debuggen von AOTInductor (AOTI)-Fehlern und Abstürzen. Verwenden bei AOTI-Segmentierungsfehlern, Gerätekonflikten, Fehlern beim Laden von Konstanten oder Laufzeitfehlern von…
skill-writer
pytorch
We need to translate the given English text into German, preserving the name "skill-writer" if it appears. The instruction says: "Do not include the name unless it appears in the source text." The source text does not contain "skill-writer" explicitly. The name to preserve is "skill-writer" but it's not in the text. So we just translate the text. The text: "Guide for creating well-structured Agent Skills for Claude Code with best practices and validation. Covers full Skill lifecycle: scoping, file structure, YAML frontmatter validation, content organization, and testing procedures Enforces strict naming rules (lowercase, hyphens, max 64 chars) and description requirements (specific triggers, file types, "what" and "when" clauses) Provides templates for common patterns including read-only Skills, script-based Skills, and multi-file Skills with..." We need to translate accurately, preserving product names like "Claude Code", "YAML", technical terms, numbers, etc. Also note the ellipsis at the end. Translation: "Le
triaging-issues
pytorch
Leitet GitHub-Issues weiter, indem es sie an Bereitschaftsteams weiterleitet, Labels anwendet und Fragen schließt. Verwenden Sie dies bei der Verarbeitung neuer PyTorch-Issues oder wenn Sie aufgefordert werden, ein Issue zu triagieren…
wheel-size-analyzer
pytorch
Analysiere die Größen nächtlicher PyTorch-Wheel-Builds über einen Datumsbereich mithilfe der GitHub-Actions-Artefakte-API. Verwende dies zur Verfolgung von Änderungen der Binärgröße, zur Identifizierung von Wheel-Größen…
pr-review
pytorch
Überprüfe PyTorch-Pull-Requests auf Codequalität, Testabdeckung, Sicherheit und Rückwärtskompatibilität. Verwende dies beim Überprüfen von PRs, wenn du gebeten wirst, Codeänderungen zu überprüfen,…
qualcomm
pytorch
Erstellen, testen oder entwickeln Sie das QNN (Qualcomm AI Engine Direct) Backend. Verwenden Sie, wenn Sie an backends/qualcomm/ arbeiten, QNN erstellen (verwenden…
setup
pytorch
ExecuTorch-Entwicklungsumgebung einrichten. Verwenden Sie dies beim Installieren von Abhängigkeiten, Einrichten von Conda-Umgebungen oder Vorbereiten der Entwicklung mit ExecuTorch.