chore(deps): bump torch from 2.8.0 to 2.12.1 in /examples/resnet

[dependabot]

Bumps torch from 2.8.0 to 2.12.1.

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

• Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
• Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
• Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

• Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Developers
• Security

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

• Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

  Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

• Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

  Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

  Version 2.11:

  CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

• 7269437 Update triton to 3.7.1 release (#186814)
• 88f16c2 [MPS] Fix fill_ on byte-dtype views with misaligned storage offset (#186821)
• ccf6e67 [release-only] Update version to 2.12.1 (#186813)
• 88a6dc7 Revive CUDA 12.9 nightly binary builds (#186015)
• ded5505 [CD] Drop CPython 3.13t from binary build matrix (#182951) (#186654)
• 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
• 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
• 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
• e4c37cc Avoid raw stream name collisions in Inductor (#182178)
• 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
• Additional commits viewable in compare view

[anish-sahoo]

@dependabot rebase

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

[anish-sahoo]

@dependabot recreate

[dependabot]

Looks like this PR is closed. If the branch still exists, you can re-open the PR and then use @dependabot rebase or @dependabot recreate. If the branch was deleted, Dependabot will create a new PR on the next scheduled run, or you can trigger an update from the Dependency graph page.