[CI] Publish PyTorch 2.11 CUDA 13 release wheels

[bvolpato]

Description

Publish Python 3.12, PyTorch 2.11, CUDA 13 framework-extension release assets for Linux x86_64 and aarch64. Source installs can fetch matching artifacts instead of compiling locally, while existing PyTorch 2.8/CUDA 12.9 release coverage remains unchanged.

Fixes #3310

Type of change

• Documentation change (change only to the documentation, either a fix or a new content)
• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Infra/Build change
• Code refactoring

Changes

• Add Python 3.12, PyTorch 2.11, CUDA 13, C++11 ABI release rows for x86_64 and aarch64.
• Include SM100 in the build architecture list and replace the full CUDA toolkit with required compiler, development-library, and NVTX packages.
• Stream complete compiler output and propagate build or timeout failures without hiding diagnostics.
• Validate CPython, platform, and C++11 ABI tags before upload.
• Install and import both new CUDA 13 wheel tuples in their native build containers using CUDA driver stubs.

Validation

• Built the exact Python 3.12, PyTorch 2.11, CUDA 13, C++11 ABI wheel on x86_64 from the v2.18 release source.
• Validated cp312-cp312-linux_x86_64, cu13, torch2.11.0+cu130, and cxx11abiTRUE artifact tags.
• Installed the wheel with matching 2.18.0 metapackage/core dependencies and completed a driverless import transformer_engine.pytorch smoke check.
• Confirmed CUDA 13 ARM64 repositories provide the reduced package set and PyTorch publishes the matching CPython 3.12 aarch64 wheel.
• Verified release matrix expands to existing x86_64/aarch64 PyTorch 2.8 rows plus new x86_64/aarch64 PyTorch 2.11 rows.
• Ran pre-commit across the repository, shell syntax checks, ShellCheck, YAML parsing, and actionlint. Existing workflow warnings remain unchanged.

Checklist:

• I have read and followed the contributing guidelines
• The functionality is complete
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

[greptile-apps]

Greptile Summary

The PR expands release wheel publication to PyTorch 2.11/CUDA 13 on x86_64 and aarch64 while preserving the existing release matrix.

• Replaces the full CUDA toolkit package with the compiler, development libraries, and NVTX packages needed for wheel builds.
• Adds wheel tag, filename, architecture, and optional import-smoke-test validation.
• Adds PyTorch 2.11/CUDA 13 release-matrix entries for x86_64 and ARM runners.

Confidence Score: 5/5

The PR appears safe to merge.

No blocking failure remains; the previously reported mutable references belonged to the ARM core-wheel job that has been removed from the current workflow.

Important Files Changed

Filename	Overview
.github/actions/build-pytorch-wheel/Dockerfile	Adds compute capability 10.0 and PyTorch 2.11/CUDA 13 support while reducing installed CUDA packages.
.github/actions/build-pytorch-wheel/action.yml	Passes architecture and release metadata into the container and preserves the Docker process exit status.
.github/actions/build-pytorch-wheel/build.sh	Validates the generated wheel's count, platform tags, filename, and optional installation/import behavior.
.github/workflows/attach-wheels-to-release.yml	Adds x86_64 and aarch64 PyTorch 2.11/CUDA 13 tuples and enables smoke testing for those release builds.

Sequence Diagram

sequenceDiagram
    participant Release as Release workflow
    participant Matrix as Release matrix
    participant Action as build-pytorch-wheel action
    participant Docker as Wheel builder container
    participant Assets as Release assets
    Release->>Matrix: Expand existing and CUDA 13/PyTorch 2.11 tuples
    Matrix->>Action: Pass architecture, versions, and smoke-test flag
    Action->>Docker: Build and validate extension wheel
    Docker-->>Action: Return validated wheel name
    Action->>Assets: Upload wheel artifact

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_{Reviews (3): Last reviewed commit: "[CI] Validate CUDA 13 PyTorch release wh..." | Re-trigger Greptile}

[bvolpato]

@fheinecke, would you mind taking a look at this when you get a chance? The PR is green and mergeable, and the previous review concern is resolved. It adds PyTorch 2.11/CUDA 13 release wheels for x86_64 and aarch64, with wheel/tag validation and a driverless import check. If someone else owns this release path now, happy to redirect.

[bvolpato]

@ksivaman, could you take a look at this, or point me to current owner for PyTorch release-wheel workflow? It extends #2138 to PyTorch 2.11/CUDA 13 on x86_64 and aarch64. Checks are green and only review thread is resolved.