Bump the pip group across 2 directories with 2 updates

[dependabot]

Updates the requirements on pillow and torch to permit the latest version.
Updates pillow to 11.0.0

Release notes

Sourced from pillow's releases.

11.0.0

https://pillow.readthedocs.io/en/stable/releasenotes/11.0.0.html

Removals

• Drop support for EOL PyPy3.9 #8335 [@​hugovk]
• Remove all WITH_* flags from _imaging.c and other flags #8211 [@​homm]
• Remove unused _util.is_directory #8259 [@​hugovk]
• Drop support for Python 3.8 #8183 [@​hugovk]
• Remove PSFile, PyAccess and USE_CFFI_ACCESS #8182 [@​hugovk]

Deprecations

• Deprecate ICNS (width, height, scale) sizes in favour of load(scale) #8352 [@​radarhere]
• Deprecate isImageType #8364 [@​radarhere]
• Deprecate support for FreeType 2.9.0 #8356 [@​hugovk]
• Remove WebP support without anim, mux/demux, and with buggy alpha #8213 [@​homm]
• Deprecate JpegImageFile huffman_ac and huffman_dc #8274 [@​radarhere]
• Deprecate ImageMath lambda_eval and unsafe_eval options argument #8242 [@​radarhere]

Changes

• Do not create core image in TIFF seek() #8392 [@​radarhere]
• Removed custom build_openjpeg #8365 [@​radarhere]
• Support writing LONG8 offsets in AppendingTiffWriter #8417 [@​radarhere]
• Use ImageFile.MAXBLOCK when saving TIFF images #8461 [@​radarhere]
• Always raise warnings for deprecated feature checks #8459 [@​radarhere]
• Do not close provided file handles with libtiff when saving #8458 [@​radarhere]
• Revert "Skip QEMU-emulated wheels on workflow dispatch event" #8455 [@​radarhere]
• Support ImageFilter.BuiltinFilter for I;16* images #8438 [@​radarhere]
• [pre-commit.ci] pre-commit autoupdate #8448 [@​pre-commit-ci]
• Use ImagingCore.ptr instead of ImagingCore.id #8341 [@​homm]
• Simplified code #8445 [@​radarhere]
• Removed unused code #8447 [@​radarhere]
• Updated EPS mode when opening images without transparency #8281 [@​Yay295]
• Use transparency when combining P frames from APNGs #8443 [@​radarhere]
• Generate and upload attestations to PyPI #8441 [@​hugovk]
• Do not convert images unnecessarily in ImageEnhance #8431 [@​radarhere]
• Raise an error if path is compacted during mapping #8416 [@​radarhere]
• Support all resampling filters when resizing I;16* images #8422 [@​radarhere]
• Free memory on early return #8413 [@​radarhere]
• Cast int before potentially exceeding INT_MAX #8402 [@​radarhere]
• Prevent division by zero #8408 [@​radarhere]
• Check image value before use #8400 [@​radarhere]
• Use ruff check #8423 [@​radarhere]
• Change harfbuzz versions in wheels #8421 [@​radarhere]
• Use Capsule for WebP saving #8386 [@​homm]
• Fixed writing multiple StripOffsets to TIFF #8317 [@​Yay295]
• Updated macOS deployment target for PyPy on Intel to 10.15 #8414 [@​radarhere]
• Fix dereference before checking for NULL in ImagingTransformAffine #8398 [@​PavlNekrasov]

... (truncated)

Changelog

Sourced from pillow's changelog.

11.0.0 (2024-10-15)

• Update licence to MIT-CMU #8460 [hugovk]

• Conditionally define ImageCms type hint to avoid requiring core #8197 [radarhere]

• Support writing LONG8 offsets in AppendingTiffWriter #8417 [radarhere]

• Use ImageFile.MAXBLOCK when saving TIFF images #8461 [radarhere]

• Do not close provided file handles with libtiff when saving #8458 [radarhere]

• Support ImageFilter.BuiltinFilter for I;16* images #8438 [radarhere]

• Use ImagingCore.ptr instead of ImagingCore.id #8341 [homm, radarhere, hugovk]

• Updated EPS mode when opening images without transparency #8281 [Yay295, radarhere]

• Use transparency when combining P frames from APNGs #8443 [radarhere]

• Support all resampling filters when resizing I;16* images #8422 [radarhere]

• Free memory on early return #8413 [radarhere]

• Cast int before potentially exceeding INT_MAX #8402 [radarhere]

• Check image value before use #8400 [radarhere]

• Improved copying imagequant libraries #8420 [radarhere]

• Use Capsule for WebP saving #8386 [homm, radarhere]

• Fixed writing multiple StripOffsets to TIFF #8317 [Yay295, radarhere]

... (truncated)

Commits

• 204aae6 11.0.0 version bump
• f2cc87b Update CHANGES.rst [ci skip]
• c855e8e Merge pull request #8464 from radarhere/imagemath_type_hint
• dc37515 Merge pull request #8463 from hugovk/update-3.13-date
• c3d81d6 Update Python 3.13 release date
• a60610c Added type hints
• a5c58f2 Merge pull request #8460 from hugovk/mit-cmu
• e74994e Update licence to MIT-CMU
• b5e1115 Update CHANGES.rst [ci skip]
• 686b5e2 Merge pull request #8392 from radarhere/tiff_seek
• Additional commits viewable in compare view

Updates torch from 1.9.0 to 2.4.0

Release notes

Sourced from torch's releases.

PyTorch 2.4: Python 3.12, AOTInductor freezing, libuv backend for TCPStore

PyTorch 2.4 Release Notes

• Highlights
• Tracked Regressions
• Backward incompatible changes
• Deprecations
• New features
• Improvements
• Bug Fixes
• Performance
• Documentation
• Developers
• Security

Highlights

We are excited to announce the release of PyTorch® 2.4! PyTorch 2.4 adds support for the latest version of Python (3.12) for torch.compile. AOTInductor freezing gives developers running AOTInductor more performance based optimizations by allowing the serialization of MKLDNN weights. As well, a new default TCPStore server backend utilizing libuv has been introduced which should significantly reduce initialization times for users running large-scale jobs. Finally, a new Python Custom Operator API makes it easier than before to integrate custom kernels into PyTorch, especially for torch.compile.

This release is composed of 3661 commits and 475 contributors since PyTorch 2.3. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.4. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

• Release Compatibility Matrix
• Release Cadence
• General Overview
  • Frequently Asked Questions
• Cutting a release branch preparations
• Cutting release branches
  • pytorch/pytorch
  • PyTorch ecosystem libraries
  • Making release branch specific changes for PyTorch
  • Making release branch specific changes for ecosystem libraries
• Running Launch Execution team Core XFN sync
• Drafting RCs (https://github.com/pytorch/pytorch/blob/main/Release Candidates) for PyTorch and domain libraries
  • Release Candidate Storage
  • Release Candidate health validation
  • Cherry Picking Fixes
    • How to do Cherry Picking
  • Cherry Picking Reverts
• Preparing and Creating Final Release Candidate
• Promoting RCs to Stable
• Additional Steps to prepare for release day
  • Modify release matrix
  • Open Google Colab issue
• Patch Releases
  • Patch Release Criteria
  • Patch Release Process
    • Patch Release Process Description
    • Triage
    • Issue Tracker for Patch releases
    • Building a release schedule / cherry picking
    • Building Binaries / Promotion to Stable
• Hardware / Software Support in Binary Build Matrix
  • Python
  • Accelerator Software
    • Special support cases
  • Operating Systems
• Submitting Tutorials
• Special Topics
  • Updating submodules for a release
  • Triton dependency for the release

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

• d990dad [CMAKE] Look for Development.Module instead of Development (#129729)
• e4ee3be [Release only] use triton 3.0.x from pypi (#130336)
• 9afe4ec Update torchbench model expected accuracy values after pinning numpy (#129986)
• 499621e [CherryPick][FSDP2+TP] Disable 2D state_dict (#129519) (#129923)
• e5bda62 [CherryPick][DCP] Fix Optimizer Learning Rate not being loaded correctly (#12...
• 705e3ae Improve error message for weights_only load (#129783)
• b26cde4 [Windows] remove mkl shared library dependency. (#129740)
• 12ad767 [distributed] NCCL result code update (#129704)
• 1164d3c Add threadfence to 2-stage reduction for correct writes visibility (#129701)
• 9533637 Inductor to fail gracefully on Voltas for bf16 tensors (#129699)
• Additional commits viewable in compare view

Updates torch from 1.13.0+cpu to 2.4.0

Release notes

Sourced from torch's releases.

PyTorch 2.4: Python 3.12, AOTInductor freezing, libuv backend for TCPStore

PyTorch 2.4 Release Notes

• Highlights
• Tracked Regressions
• Backward incompatible changes
• Deprecations
• New features
• Improvements
• Bug Fixes
• Performance
• Documentation
• Developers
• Security

Highlights

We are excited to announce the release of PyTorch® 2.4! PyTorch 2.4 adds support for the latest version of Python (3.12) for torch.compile. AOTInductor freezing gives developers running AOTInductor more performance based optimizations by allowing the serialization of MKLDNN weights. As well, a new default TCPStore server backend utilizing libuv has been introduced which should significantly reduce initialization times for users running large-scale jobs. Finally, a new Python Custom Operator API makes it easier than before to integrate custom kernels into PyTorch, especially for torch.compile.

This release is composed of 3661 commits and 475 contributors since PyTorch 2.3. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.4. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

• Release Compatibility Matrix
• Release Cadence
• General Overview
  • Frequently Asked Questions
• Cutting a release branch preparations
• Cutting release branches
  • pytorch/pytorch
  • PyTorch ecosystem libraries
  • Making release branch specific changes for PyTorch
  • Making release branch specific changes for ecosystem libraries
• Running Launch Execution team Core XFN sync
• Drafting RCs (https://github.com/pytorch/pytorch/blob/main/Release Candidates) for PyTorch and domain libraries
  • Release Candidate Storage
  • Release Candidate health validation
  • Cherry Picking Fixes
    • How to do Cherry Picking
  • Cherry Picking Reverts
• Preparing and Creating Final Release Candidate
• Promoting RCs to Stable
• Additional Steps to prepare for release day
  • Modify release matrix
  • Open Google Colab issue
• Patch Releases
  • Patch Release Criteria
  • Patch Release Process
    • Patch Release Process Description
    • Triage
    • Issue Tracker for Patch releases
    • Building a release schedule / cherry picking
    • Building Binaries / Promotion to Stable
• Hardware / Software Support in Binary Build Matrix
  • Python
  • Accelerator Software
    • Special support cases
  • Operating Systems
• Submitting Tutorials
• Special Topics
  • Updating submodules for a release
  • Triton dependency for the release

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

• d990dad [CMAKE] Look for Development.Module instead of Development (#129729)
• e4ee3be [Release only] use triton 3.0.x from pypi (#130336)
• 9afe4ec Update torchbench model expected accuracy values after pinning numpy (#129986)
• 499621e [CherryPick][FSDP2+TP] Disable 2D state_dict (#129519) (#129923)
• e5bda62 [CherryPick][DCP] Fix Optimizer Learning Rate not being loaded correctly (#12...
• 705e3ae Improve error message for weights_only load (#129783)
• b26cde4 [Windows] remove mkl shared library dependency. (#129740)
• 12ad767 [distributed] NCCL result code update (#129704)
• 1164d3c Add threadfence to 2-stage reduction for correct writes visibility (#129701)
• 9533637 Inductor to fail gracefully on Voltas for bf16 tensors (#129699)
• Additional commits viewable in compare view

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