deps: update onnx requirement from >=1.14 to >=1.22.0

[dependabot]

Updates the requirements on onnx to permit the latest version.

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

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Changelog

Sourced from onnx's changelog.

Operator Changelog

This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.

For an operator input/output's differentiability, it can be differentiable, non-differentiable, or undefined. If a variable's differentiability is not specified, that variable has undefined differentiability.

ai.onnx.ml

Version 1 of the 'ai.onnx.ml' operator set

ai.onnx.ml.ArrayFeatureExtractor-1

Select elements of the input tensor based on the indices passed. The indices are applied to the last axes of the tensor.

Version

This version of the operator has been available since version 1 of the 'ai.onnx.ml' operator set.

Inputs

Outputs

Type Constraints

ai.onnx.ml.Binarizer-1

Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Version

... (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

[dependabot]

Looks like onnx is no longer being updated by Dependabot, so this is no longer needed.