chore(deps): bump the uv group across 10 directories with 8 updates

[dependabot]

Bumps the uv group with 2 updates in the /docker/pytorch/2.11/cpu directory: onnx and pip.
Bumps the uv group with 2 updates in the /docker/pytorch/2.11/cuda directory: onnx and pip.
Bumps the uv group with 2 updates in the /docker/pytorch/2.12/cpu directory: onnx and pip.
Bumps the uv group with 2 updates in the /docker/pytorch/2.12/cuda directory: onnx and pip.
Bumps the uv group with 3 updates in the /docker/pytorch/2.13/cpu directory: onnx, pip and setuptools.
Bumps the uv group with 3 updates in the /docker/pytorch/2.13/cuda directory: onnx, pip and setuptools.
Bumps the uv group with 7 updates in the /docker/tensorflow/training/2.21/cpu directory:

Package	From	To
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
awscli	1.45.0	1.45.28
mlflow	3.15.1	3.16.0
bleach	6.3.0	6.4.0
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
awscli	1.45.0	1.45.28
mlflow	3.15.1	3.16.0
bleach	6.3.0	6.4.0
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
setuptools	81.0.0	83.0.0
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
pip	26.1.1	26.2

Bumps the uv group with 7 updates in the /docker/tensorflow/training/2.21/cuda directory:

Package	From	To
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
mlflow	3.15.1	3.16.0
tornado	6.5.7	6.5.8
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
awscli	1.45.0	1.45.28
mlflow	3.15.1	3.16.0
bleach	6.3.0	6.4.0
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
awscli	1.45.0	1.45.28
mlflow	3.15.1	3.16.0
bleach	6.3.0	6.4.0
onnx	1.21.0	1.22.0
pip	26.1.1	26.2
setuptools	81.0.0	83.0.0
setuptools	81.0.0	83.0.0
setuptools	81.0.0	83.0.0
tornado	6.5.7	6.5.8
pip	26.1.1	26.2

Bumps the uv group with 1 update in the /docker/whisperx directory: python-multipart.
Bumps the uv group with 2 updates in the /docker/xgboost directory: pip and setuptools.

Updates onnx from 1.21.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

• Swap qk_matmul_output_mode 1 & 2 to match computation order by @​titaiwangms in onnx/onnx#7913

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

• Fix number of pad modes in doc_strings.cc by @​assafpr in onnx/onnx#7803
• Add FlexAttention Op to ai.onnx.preview opset by @​mshr-h in onnx/onnx#7534
• Fix Attention op softcap ordering: apply before mask/bias by @​titaiwangms in onnx/onnx#7867
• Add LinearAttention and CausalConvWithState operators (Opset 27) by @​tadani3 in onnx/onnx#7950
• feat(generator): extend Range operator with float16 and bfloat16 support (opset 27) by @​andife in onnx/onnx#7923

Reference Implementation

• Fix missing 'mul' reduction in ScatterElements reference implementation by @​zdryan in onnx/onnx#7842
• Fix QLinearMatMul output saturation by @​karimbaidar in onnx/onnx#7868
• Fixed more bugs in the Scan reference op by @​tadani3 in onnx/onnx#7964

Utilities and Tools

• Fix Slice shape inference crashes with SIGABRT on empty dimensions by @​titaiwangms in onnx/onnx#7738
• Rename misleading input_rank param to input_dim_value in processSlice… by @​titaiwangms in onnx/onnx#7739
• fix: Conv/Pool strides validation by @​edgchen1 in onnx/onnx#7764
• fix: add input/output bounds checks in version converter adapter by @​andife in onnx/onnx#7813
• Harden version conversion against malformed inputs by @​andife in onnx/onnx#7872
• fix: add input rank checks in Gemm version converter adapters by @​andife in onnx/onnx#7880
• Fix raw_data handling in version converter adapters by @​cyyever in onnx/onnx#7910
• Fix checker to use len() instead of sys.getsizeof() for protobuf size check by @​OmarAzizi in onnx/onnx#7760
• Add version macros by @​cbourjau in onnx/onnx#7918
• Remove internal spec_to_yaml tool by @​cbourjau in onnx/onnx#7985
• Address shape inference shortcomings by @​yuslepukhin in onnx/onnx#7997
• Add unifyInputShape / unifyInputShapePrefix shape inference utilities by @​gramalingam in onnx/onnx#7999
• Add operator+ and operator- for Dim by @​gramalingam in onnx/onnx#8000
• Fix KeepAspectRatioHelper precision for scaled output dimensions by @​elwhyjay in onnx/onnx#8007
• Fix heap buffer over-read in Conv/Pool shape inference for weight rank mismatch by @​Copilot in onnx/onnx#8037

Build, CI and Tests

• Add update into main.yml by @​titaiwangms in onnx/onnx#7687
• Update check_urls.yml by @​andife in onnx/onnx#7716
• Update add_msvc_runtime_flag to work with MSVC_RUNTIME_LIBRARY by @​Shadows-of-Fire in onnx/onnx#7660
• Try to fix renovate by @​andife in onnx/onnx#7742
• fix upload; Update release_win.yml by @​andife in onnx/onnx#7728
• Allow release CIs to run when a labeled PR receives new commits by @​Copilot in onnx/onnx#7741
• Update pixi.{toml,lock} by @​cbourjau in onnx/onnx#7746
• hash for googletest by @​andife in onnx/onnx#7765
• Update RELEASE-MANAGEMENT.md by @​andife in onnx/onnx#7773
• Update doc CIPipeline by @​andife in onnx/onnx#7782
• use reviewdog to fix the pr_checks workflow by @​andife in onnx/onnx#7780
• Update copilot-setup-steps.yml; persist-credentials: false by @​andife in onnx/onnx#7768
• Update release_linux.yml; replace tag by hash by @​andife in onnx/onnx#7769

... (truncated)

Commits

• 2bb5046 Fix windows workflows on rel-1.22.0 branch (#8087)
• eda0385 Update version number to 1.22.0 (#8086)
• b124e01 Bump version number to 1.22.0rc2 (#8071)
• 8de2cf6 Cherrypicks for 1.22.0rc2 (#8066)
• 53d6120 Cherry-pick: Address shape inference issues in Conv (#8051) to rel-1.22.0 (#8...
• bc3be77 Set version number to 1.22.0rc1 (#8024)
• e945daf feat(generator): extend Range operator with float16 and bfloat16 support (ops...
• 293ad62 Run lints also on Windows (#8014)
• 8847da4 Follow up for scikit-build-core migration (#8017)
• 882a5ef Fix/sdist missing SBOM cdx json (#8010)
• Additional commits viewable in compare view

Updates pip from 26.0.1 to 26.2

Changelog

Sourced from pip's changelog.

26.2 (2026-07-29)

Deprecations and Removals

• Newly published packages will no longer be immediately visible to pip if the index uses caching. To install a newly published package, use --refresh-package. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Drop support for detecting legacy, non-:pep:405, virtualenv (< 20) environments. ([#14062](https://github.com/pypa/pip/issues/14062) <https://github.com/pypa/pip/issues/14062>_)

• Constraints files, including PIP_CONSTRAINT, no longer affect isolated build environments. Use --build-constraint or the PIP_BUILD_CONSTRAINT environment variable to constrain build dependencies instead.

  The --use-feature=build-constraint flag is now always enabled and has no effect. ([#14094](https://github.com/pypa/pip/issues/14094) <https://github.com/pypa/pip/issues/14094>_)

Features

• Declare support for Python 3.15 ([#14208](https://github.com/pypa/pip/issues/14208) <https://github.com/pypa/pip/issues/14208>_)

• Support self-referential extras officially. pip has supported this by accident since version 21.2. ([#11296](https://github.com/pypa/pip/issues/11296) <https://github.com/pypa/pip/issues/11296>_)

• Add --only-deps flag to instruct pip to select only the dependencies of supplied packages. It cannot be used with --no-deps, -r, --group, or --requirements-from-script. ([#11440](https://github.com/pypa/pip/issues/11440) <https://github.com/pypa/pip/issues/11440>_)

• Cache simple responses in accordance to their Cache-Control header instead of always revalidating on every request. To refresh cached package index responses and ensure newly published packages are found, use --refresh-package <package>. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Add --no-require-hashes to disable automatic enablement of --require-hashes when encountering a requirement with hashes. ([#14169](https://github.com/pypa/pip/issues/14169) <https://github.com/pypa/pip/issues/14169>_)

• Honor --only-final when sourcing requirements with -r pylock.toml. ([#13950](https://github.com/pypa/pip/issues/13950) <https://github.com/pypa/pip/issues/13950>_)

• Add support for pylock.toml upload-time field, so --uploaded-prior-to works with -r pylock.toml. ([#14168](https://github.com/pypa/pip/issues/14168) <https://github.com/pypa/pip/issues/14168>_)

• Better error messages in case of conflicts with requirements from -r pylock.toml. ([#13963](https://github.com/pypa/pip/issues/13963) <https://github.com/pypa/pip/issues/13963>_)

• Add experimental support for isolating build subprocesses by creating standard virtual environments. This will fix most (if not all) subtle isolation issues that can lead to broken builds exclusive to pip. The feature can be enabled via --use-feature=venv-isolation and will be enabled by default in a future release.

  Note that the feature has limited compatibility with --use-feature=inprocess-build-deps. While most builds should work with both features enabled, there are known edge cases. inprocess-build-deps will not be enabled by default until they are fixed. ([#14070](https://github.com/pypa/pip/issues/14070) <https://github.com/pypa/pip/issues/14070>_)

• Present more informative diagnostic errors on uncaught network errors. ([#14115](https://github.com/pypa/pip/issues/14115) <https://github.com/pypa/pip/issues/14115>_)

• Allow opting out of Git partial clones with PIP_NO_PARTIAL_CLONE_FOR_BROKEN_GIT_SERVER. ([#11043](https://github.com/pypa/pip/issues/11043) <https://github.com/pypa/pip/issues/11043>_)

• Add a --no-proxy-env (or --proxy "") option to ignore proxies configured via non-pip environment variables or configuration files. A proxy set with --proxy is still used. ([#5378](https://github.com/pypa/pip/issues/5378) <https://github.com/pypa/pip/issues/5378>_)

• Add support for pulling username from keyring subprocess provider ([#12543](https://github.com/pypa/pip/issues/12543) <https://github.com/pypa/pip/issues/12543>_)

• Speedup tab autocompletion by lazy-importing certain modules. ([#4768](https://github.com/pypa/pip/issues/4768) <https://github.com/pypa/pip/issues/4768>_)

... (truncated)

Commits

• 4b6ae5c Bump for release
• 50b6d3c Update AUTHORS.txt
• dbddfbd Tweak news entries for pip 26.2 (#14212)
• 6576b75 Merge pull request #14165 from sbidoul/refactor-pylock-hanling-sbi
• 0090e00 Address a variety of typos detected in code review
• e12ddd9 Add support for --uploaded-prior-to with -r pylock.toml
• 5eefdbc Better conflict report for requirements from -r pylock.toml
• 6d71ff8 Test --only-final with -r pylock.toml
• e7d6eb9 Refactor -r pylock.toml
• 756506d Add TODO about pylock.select and --no-binary
• Additional commits viewable in compare view

Updates onnx from 1.21.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

• Swap qk_matmul_output_mode 1 & 2 to match computation order by @​titaiwangms in onnx/onnx#7913

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

• Fix number of pad modes in doc_strings.cc by @​assafpr in onnx/onnx#7803
• Add FlexAttention Op to ai.onnx.preview opset by @​mshr-h in onnx/onnx#7534
• Fix Attention op softcap ordering: apply before mask/bias by @​titaiwangms in onnx/onnx#7867
• Add LinearAttention and CausalConvWithState operators (Opset 27) by @​tadani3 in onnx/onnx#7950
• feat(generator): extend Range operator with float16 and bfloat16 support (opset 27) by @​andife in onnx/onnx#7923

Reference Implementation

• Fix missing 'mul' reduction in ScatterElements reference implementation by @​zdryan in onnx/onnx#7842
• Fix QLinearMatMul output saturation by @​karimbaidar in onnx/onnx#7868
• Fixed more bugs in the Scan reference op by @​tadani3 in onnx/onnx#7964

Utilities and Tools

• Fix Slice shape inference crashes with SIGABRT on empty dimensions by @​titaiwangms in onnx/onnx#7738
• Rename misleading input_rank param to input_dim_value in processSlice… by @​titaiwangms in onnx/onnx#7739
• fix: Conv/Pool strides validation by @​edgchen1 in onnx/onnx#7764
• fix: add input/output bounds checks in version converter adapter by @​andife in onnx/onnx#7813
• Harden version conversion against malformed inputs by @​andife in onnx/onnx#7872
• fix: add input rank checks in Gemm version converter adapters by @​andife in onnx/onnx#7880
• Fix raw_data handling in version converter adapters by @​cyyever in onnx/onnx#7910
• Fix checker to use len() instead of sys.getsizeof() for protobuf size check by @​OmarAzizi in onnx/onnx#7760
• Add version macros by @​cbourjau in onnx/onnx#7918
• Remove internal spec_to_yaml tool by @​cbourjau in onnx/onnx#7985
• Address shape inference shortcomings by @​yuslepukhin in onnx/onnx#7997
• Add unifyInputShape / unifyInputShapePrefix shape inference utilities by @​gramalingam in onnx/onnx#7999
• Add operator+ and operator- for Dim by @​gramalingam in onnx/onnx#8000
• Fix KeepAspectRatioHelper precision for scaled output dimensions by @​elwhyjay in onnx/onnx#8007
• Fix heap buffer over-read in Conv/Pool shape inference for weight rank mismatch by @​Copilot in onnx/onnx#8037

Build, CI and Tests

• Add update into main.yml by @​titaiwangms in onnx/onnx#7687
• Update check_urls.yml by @​andife in onnx/onnx#7716
• Update add_msvc_runtime_flag to work with MSVC_RUNTIME_LIBRARY by @​Shadows-of-Fire in onnx/onnx#7660
• Try to fix renovate by @​andife in onnx/onnx#7742
• fix upload; Update release_win.yml by @​andife in onnx/onnx#7728
• Allow release CIs to run when a labeled PR receives new commits by @​Copilot in onnx/onnx#7741
• Update pixi.{toml,lock} by @​cbourjau in onnx/onnx#7746
• hash for googletest by @​andife in onnx/onnx#7765
• Update RELEASE-MANAGEMENT.md by @​andife in onnx/onnx#7773
• Update doc CIPipeline by @​andife in onnx/onnx#7782
• use reviewdog to fix the pr_checks workflow by @​andife in onnx/onnx#7780
• Update copilot-setup-steps.yml; persist-credentials: false by @​andife in onnx/onnx#7768
• Update release_linux.yml; replace tag by hash by @​andife in onnx/onnx#7769

... (truncated)

Commits

• 2bb5046 Fix windows workflows on rel-1.22.0 branch (#8087)
• eda0385 Update version number to 1.22.0 (#8086)
• b124e01 Bump version number to 1.22.0rc2 (#8071)
• 8de2cf6 Cherrypicks for 1.22.0rc2 (#8066)
• 53d6120 Cherry-pick: Address shape inference issues in Conv (#8051) to rel-1.22.0 (#8...
• bc3be77 Set version number to 1.22.0rc1 (#8024)
• e945daf feat(generator): extend Range operator with float16 and bfloat16 support (ops...
• 293ad62 Run lints also on Windows (#8014)
• 8847da4 Follow up for scikit-build-core migration (#8017)
• 882a5ef Fix/sdist missing SBOM cdx json (#8010)
• Additional commits viewable in compare view

Updates pip from 26.0.1 to 26.2

Changelog

Sourced from pip's changelog.

26.2 (2026-07-29)

Deprecations and Removals

• Newly published packages will no longer be immediately visible to pip if the index uses caching. To install a newly published package, use --refresh-package. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Drop support for detecting legacy, non-:pep:405, virtualenv (< 20) environments. ([#14062](https://github.com/pypa/pip/issues/14062) <https://github.com/pypa/pip/issues/14062>_)

• Constraints files, including PIP_CONSTRAINT, no longer affect isolated build environments. Use --build-constraint or the PIP_BUILD_CONSTRAINT environment variable to constrain build dependencies instead.

  The --use-feature=build-constraint flag is now always enabled and has no effect. ([#14094](https://github.com/pypa/pip/issues/14094) <https://github.com/pypa/pip/issues/14094>_)

Features

• Declare support for Python 3.15 ([#14208](https://github.com/pypa/pip/issues/14208) <https://github.com/pypa/pip/issues/14208>_)

• Support self-referential extras officially. pip has supported this by accident since version 21.2. ([#11296](https://github.com/pypa/pip/issues/11296) <https://github.com/pypa/pip/issues/11296>_)

• Add --only-deps flag to instruct pip to select only the dependencies of supplied packages. It cannot be used with --no-deps, -r, --group, or --requirements-from-script. ([#11440](https://github.com/pypa/pip/issues/11440) <https://github.com/pypa/pip/issues/11440>_)

• Cache simple responses in accordance to their Cache-Control header instead of always revalidating on every request. To refresh cached package index responses and ensure newly published packages are found, use --refresh-package <package>. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Add --no-require-hashes to disable automatic enablement of --require-hashes when encountering a requirement with hashes. ([#14169](https://github.com/pypa/pip/issues/14169) <https://github.com/pypa/pip/issues/14169>_)

• Honor --only-final when sourcing requirements with -r pylock.toml. ([#13950](https://github.com/pypa/pip/issues/13950) <https://github.com/pypa/pip/issues/13950>_)

• Add support for pylock.toml upload-time field, so --uploaded-prior-to works with -r pylock.toml. ([#14168](https://github.com/pypa/pip/issues/14168) <https://github.com/pypa/pip/issues/14168>_)

• Better error messages in case of conflicts with requirements from -r pylock.toml. ([#13963](https://github.com/pypa/pip/issues/13963) <https://github.com/pypa/pip/issues/13963>_)

• Add experimental support for isolating build subprocesses by creating standard virtual environments. This will fix most (if not all) subtle isolation issues that can lead to broken builds exclusive to pip. The feature can be enabled via --use-feature=venv-isolation and will be enabled by default in a future release.

  Note that the feature has limited compatibility with --use-feature=inprocess-build-deps. While most builds should work with both features enabled, there are known edge cases. inprocess-build-deps will not be enabled by default until they are fixed. ([#14070](https://github.com/pypa/pip/issues/14070) <https://github.com/pypa/pip/issues/14070>_)

• Present more informative diagnostic errors on uncaught network errors. ([#14115](https://github.com/pypa/pip/issues/14115) <https://github.com/pypa/pip/issues/14115>_)

• Allow opting out of Git partial clones with PIP_NO_PARTIAL_CLONE_FOR_BROKEN_GIT_SERVER. ([#11043](https://github.com/pypa/pip/issues/11043) <https://github.com/pypa/pip/issues/11043>_)

• Add a --no-proxy-env (or --proxy "") option to ignore proxies configured via non-pip environment variables or configuration files. A proxy set with --proxy is still used. ([#5378](https://github.com/pypa/pip/issues/5378) <https://github.com/pypa/pip/issues/5378>_)

• Add support for pulling username from keyring subprocess provider ([#12543](https://github.com/pypa/pip/issues/12543) <https://github.com/pypa/pip/issues/12543>_)

• Speedup tab autocompletion by lazy-importing certain modules. ([#4768](https://github.com/pypa/pip/issues/4768) <https://github.com/pypa/pip/issues/4768>_)

... (truncated)

Commits

• 4b6ae5c Bump for release
• 50b6d3c Update AUTHORS.txt
• dbddfbd Tweak news entries for pip 26.2 (#14212)
• 6576b75 Merge pull request #14165 from sbidoul/refactor-pylock-hanling-sbi
• 0090e00 Address a variety of typos detected in code review
• e12ddd9 Add support for --uploaded-prior-to with -r pylock.toml
• 5eefdbc Better conflict report for requirements from -r pylock.toml
• 6d71ff8 Test --only-final with -r pylock.toml
• e7d6eb9 Refactor -r pylock.toml
• 756506d Add TODO about pylock.select and --no-binary
• Additional commits viewable in compare view

Updates onnx from 1.21.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

• Swap qk_matmul_output_mode 1 & 2 to match computation order by @​titaiwangms in onnx/onnx#7913

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

• Fix number of pad modes in doc_strings.cc by @​assafpr in onnx/onnx#7803
• Add FlexAttention Op to ai.onnx.preview opset by @​mshr-h in onnx/onnx#7534
• Fix Attention op softcap ordering: apply before mask/bias by @​titaiwangms in onnx/onnx#7867
• Add LinearAttention and CausalConvWithState operators (Opset 27) by @​tadani3 in onnx/onnx#7950
• feat(generator): extend Range operator with float16 and bfloat16 support (opset 27) by @​andife in onnx/onnx#7923

Reference Implementation

• Fix missing 'mul' reduction in ScatterElements reference implementation by @​zdryan in onnx/onnx#7842
• Fix QLinearMatMul output saturation by @​karimbaidar in onnx/onnx#7868
• Fixed more bugs in the Scan reference op by @​tadani3 in onnx/onnx#7964

Utilities and Tools

• Fix Slice shape inference crashes with SIGABRT on empty dimensions by @​titaiwangms in onnx/onnx#7738
• Rename misleading input_rank param to input_dim_value in processSlice… by @​titaiwangms in onnx/onnx#7739
• fix: Conv/Pool strides validation by @​edgchen1 in onnx/onnx#7764
• fix: add input/output bounds checks in version converter adapter by @​andife in onnx/onnx#7813
• Harden version conversion against malformed inputs by @​andife in onnx/onnx#7872
• fix: add input rank checks in Gemm version converter adapters by @​andife in onnx/onnx#7880
• Fix raw_data handling in version converter adapters by @​cyyever in onnx/onnx#7910
• Fix checker to use len() instead of sys.getsizeof() for protobuf size check by @​OmarAzizi in onnx/onnx#7760
• Add version macros by @​cbourjau in onnx/onnx#7918
• Remove internal spec_to_yaml tool by @​cbourjau in onnx/onnx#7985
• Address shape inference shortcomings by @​yuslepukhin in onnx/onnx#7997
• Add unifyInputShape / unifyInputShapePrefix shape inference utilities by @​gramalingam in onnx/onnx#7999
• Add operator+ and operator- for Dim by @​gramalingam in onnx/onnx#8000
• Fix KeepAspectRatioHelper precision for scaled output dimensions by @​elwhyjay in onnx/onnx#8007
• Fix heap buffer over-read in Conv/Pool shape inference for weight rank mismatch by @​Copilot in onnx/onnx#8037

Build, CI and Tests

• Add update into main.yml by @​titaiwangms in onnx/onnx#7687
• Update check_urls.yml by @​andife in onnx/onnx#7716
• Update add_msvc_runtime_flag to work with MSVC_RUNTIME_LIBRARY by @​Shadows-of-Fire in onnx/onnx#7660
• Try to fix renovate by @​andife in onnx/onnx#7742
• fix upload; Update release_win.yml by @​andife in onnx/onnx#7728
• Allow release CIs to run when a labeled PR receives new commits by @​Copilot in onnx/onnx#7741
• Update pixi.{toml,lock} by @​cbourjau in onnx/onnx#7746
• hash for googletest by @​andife in onnx/onnx#7765
• Update RELEASE-MANAGEMENT.md by @​andife in onnx/onnx#7773
• Update doc CIPipeline by @​andife in onnx/onnx#7782
• use reviewdog to fix the pr_checks workflow by @​andife in onnx/onnx#7780
• Update copilot-setup-steps.yml; persist-credentials: false by @​andife in onnx/onnx#7768
• Update release_linux.yml; replace tag by hash by @​andife in onnx/onnx#7769

... (truncated)

Commits

• 2bb5046 Fix windows workflows on rel-1.22.0 branch (#8087)
• eda0385 Update version number to 1.22.0 (#8086)
• b124e01 Bump version number to 1.22.0rc2 (#8071)
• 8de2cf6 Cherrypicks for 1.22.0rc2 (#8066)
• 53d6120 Cherry-pick: Address shape inference issues in Conv (#8051) to rel-1.22.0 (#8...
• bc3be77 Set version number to 1.22.0rc1 (#8024)
• e945daf feat(generator): extend Range operator with float16 and bfloat16 support (ops...
• 293ad62 Run lints also on Windows (#8014)
• 8847da4 Follow up for scikit-build-core migration (#8017)
• 882a5ef Fix/sdist missing SBOM cdx json (#8010)
• Additional commits viewable in compare view

Updates pip from 26.0.1 to 26.2

Changelog

Sourced from pip's changelog.

26.2 (2026-07-29)

Deprecations and Removals

• Newly published packages will no longer be immediately visible to pip if the index uses caching. To install a newly published package, use --refresh-package. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Drop support for detecting legacy, non-:pep:405, virtualenv (< 20) environments. ([#14062](https://github.com/pypa/pip/issues/14062) <https://github.com/pypa/pip/issues/14062>_)

• Constraints files, including PIP_CONSTRAINT, no longer affect isolated build environments. Use --build-constraint or the PIP_BUILD_CONSTRAINT environment variable to constrain build dependencies instead.

  The --use-feature=build-constraint flag is now always enabled and has no effect. ([#14094](https://github.com/pypa/pip/issues/14094) <https://github.com/pypa/pip/issues/14094>_)

Features

• Declare support for Python 3.15 ([#14208](https://github.com/pypa/pip/issues/14208) <https://github.com/pypa/pip/issues/14208>_)

• Support self-referential extras officially. pip has supported this by accident since version 21.2. ([#11296](https://github.com/pypa/pip/issues/11296) <https://github.com/pypa/pip/issues/11296>_)

• Add --only-deps flag to instruct pip to select only the dependencies of supplied packages. It cannot be used with --no-deps, -r, --group, or --requirements-from-script. ([#11440](https://github.com/pypa/pip/issues/11440) <https://github.com/pypa/pip/issues/11440>_)

• Cache simple responses in accordance to their Cache-Control header instead of always revalidating on every request. To refresh cached package index responses and ensure newly published packages are found, use --refresh-package <package>. ([#13680](https://github.com/pypa/pip/issues/13680) <https://github.com/pypa/pip/issues/13680>_)

• Add --no-require-hashes to disable automatic enablement of --require-hashes when encountering a requirement with hashes. ([#14169](https://github.com/pypa/pip/issues/14169) <https://github.com/pypa/pip/issues/14169>_)

• Honor --only-final when sourcing requirements with -r pylock.toml. ([#13950](https://github.com/pypa/pip/issues/13950) <https://github.com/pypa/pip/issues/13950>_)

• Add support for pylock.toml upload-time field, so --uploaded-prior-to works with -r pylock.toml. ([#14168](https://github.com/pypa/pip/issues/14168) <https://github.com/pypa/pip/issues/14168>_)

• Better error messages in case of conflicts with requirements from -r pylock.toml. ([#13963](https://github.com/pypa/pip/issues/13963) <https://github.com/pypa/pip/issues/13963>_)

• Add experimental support for isolating build subprocesses by creating standard virtual environments. This will fix most (if not all) subtle isolation issues that can lead to broken builds exclusive to pip. The feature can be enabled via --use-feature=venv-isolation and will be enabled by default in a future release.

  Note that the feature has limited compatibility with --use-feature=inprocess-build-deps. While most builds should work with both features enabled, there are known edge cases. inprocess-build-deps will not be enabled by default until they are fixed. ([#14070](https://github.com/pypa/pip/issues/14070) <https://github.com/pypa/pip/issues/14070>_)

• Present more informative diagnostic errors on uncaught network errors. ([#14115](https://github.com/pypa/pip/issues/14115) <https://github.com/pypa/pip/issues/14115>_)

• Allow opting out of Git partial clones with PIP_NO_PARTIAL_CLONE_FOR_BROKEN_GIT_SERVER. ([#11043](https://github.com/pypa/pip/issues/11043) <https://github.com/pypa/pip/issues/11043>_)

• Add a --no-proxy-env (or --proxy "") option to ignore proxies configured via non-pip environment variables or configuration files. A proxy set with --proxy is still used. ([#5378](https://github.com/pypa/pip/issues/5378) <https://github.com/pypa/pip/issues/5378>_)

• Add support for pulling username from keyring subprocess provider ([#12543](https://github.com/pypa/pip/issues/12543) <https://github.com/pypa/pip/issues/12543>_)

• Speedup tab autocompletion by lazy-importing certain modules. ([#4768](https://github.com/pypa/pip/issues/4768) <https://github.com/pypa/pip/issues/4768>_)

... (truncated)

Commits

• 4b6ae5c Bump for release
• 50b6d3c Update AUTHORS.txt
• dbddfbd Tweak news entries for pip 26.2 (#14212)
• 6576b75 Merge pull request #14165 from sbidoul/refactor-pylock-hanling-sbi
• 0090e00 Address a variety of typos detected in code review
• e12ddd9 Add support for --uploaded-prior-to with -r pylock.toml
• 5eefdbc Better conflict report for requirements from -r pylock.toml
• 6d71ff8 Test --only-final with -r pylock.toml
• e7d6eb9 Refactor -r pylock.toml
• 756506d Add TODO about pylock.select and --no-binary
• Additional commits viewable in compare view

Updates onnx from 1.21.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

• Swap qk_matmul_output_mode 1 & 2 to match computation order by @​titaiwangms in onnx/onnx#7913

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

• Fix number of pad modes in doc_strings.cc by @​assafpr in onnx/onnx#7803
• Add FlexAttention Op to ai.onnx.preview opset by @​mshr-h in onnx/onnx#7534
• Fix Attention op softcap ordering: apply before mask/bias by @​titaiwangms in onnx/onnx#7867
• Add LinearAttention and CausalConvWithState operators (Opset 27) by @​tadani3 in onnx/onnx#7950
• feat(generator): extend Range operator with float16 and bfloat16 support (opset 27) by @​andife in

[dependabot]

Looks like these dependencies are updatable in another way, so this is no longer needed.