Update onnx requirement from <=1.16.1 to <=1.17.0 in /tools/llm_bench

[dependabot]

Updates the requirements on onnx to permit the latest version.

Release notes

Sourced from onnx's releases.

v1.17.0

ONNX v1.17.0 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.

Key Updates

ai.onnx Opset 22

• Update to support bfloat16:
  • Acos, Acosh, Asin, Asinh, Atan, Atanh, AveragePool, Bernoulli, Conv, ConvTranspose, Cos, Cosh, DeformConv, Det, Dropout, Elu, EyeLike, GRU, GlobalAveragePool, GlobalLpPool, GlobalMaxPool, GridSample, HardSigmoid, HardSwish, InstanceNormalization, LSTM, LpNormalization, LpPool, MaxPool, MaxRoiPool, MaxUnpool, Mish, Multinomial, NegativeLogLikelihoodLoss, RNN, RandomNormal, RandomNormalLike, RandomUniform, RandomUniformLike, RoiAlign, Round, Selu, Sin, Sinh, Softplus, Softsign, Tan, ThresholdedRelu

Python Changes

• Support for numpy >= 2.0

Bug fixes and infrastructure improvements

• Fix Check URLs errors 5972
• Use CMAKE_PREFIX_PATH in finding libprotobuf 5975
• Bump main VERSION_NUMBER to 1.17.0 5968
• Fix source and pip tar.gz builds on s390x systems 5984
• Fix unique_name 5992
• Fix SegFault bug in shape inference 5990
• Fix onnx.compose when connecting subgraphs 5991
• Fix conversion from split 11 to split 18 6020
• Update error messages for NegativeLogLikelihoodLoss inference function 6021
• Generalize input/output number check in shape inference 6005
• Replace rank inference with shape inference for Einsum op 6010
• build from source instruction with latest cmake change 6038
• Handle OneHot's depth value during shape inference 5963
• Not to install cmake in pyproject.toml on Windows 6045
• fix a skipped shape infer code 6049
• Include the ".onnxtext" extension in supported serialization format 6051
• Allow ReferenceEvaluator to return intermediate results 6066
• Fix 1 typo in numpy_helper.py 6041
• Remove benchmarking code 6076
• Prevent crash on import after GCC 8 builds 6048
• Check graph outputs are defined 6083
• Enable additional ruff rules 6032
• Add missing shape inference check for DequantizeLinear 6080
• Add bfloat16 to all relevant ops 6099
• fix(ci): install python dependencies with --only-binary :all: in manylinux 6120
• fix: install google-re2 with --only-binary option 6129
• Specify axis parameter for DequantizeLinear when input rank is 1 6095
• Pin onnxruntime to 1.17.3 for release CIs 6143
• Fix INT4 TensorProto byte size is 5x larger than expected with negative values 6161
• Mitigate tarball directory traversal risks 6164
• Fix reference implementation for ScatterND with 4D tensors 6174
• Addition of group > 1 in test and in backend for ConvTranspose 6175
• Support for bfloat16 for binary, unary operators in reference implementation 6166
• Refactor windows workflow to work on standard windows 6190
• Fix a few crashes while running shape inference 6195
• Update onnx to work with numpy>=2.0 6196
• Use sets to improve performance of dfs search 6213

... (truncated)

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

• b8baa84 Set version 1.17.0 for official release (#6405)
• 6d77b80 [Cherry-Pick] Fix main url checks (#6312) (#6327)
• 174938d [Cherry-Pick] Fix protobuf pkg 5.28.0 failing on Windows (#6342) (#6347)
• f18d593 [Cherry-Pick] Remove unused variables (#6303) (#6324)
• c588905 Set version in rel-1.17.0 to 1.17.0rc1 (#6317)
• 4392c2c Prepare for rel-1.17.0 (#6281)
• cb54169 Update ort filter to 1.20.0 to skip tests known to fail with ort 1.19.0 (#6306)
• 99e1fd3 Bump reviewdog/action-misspell from 1.21.0 to 1.23.0 (#6268)
• 1920565 Bump ossf/scorecard-action from 2.3.3 to 2.4.0 (#6273)
• 2e8f228 Bump mypy from 1.10.1 to 1.11.1 (#6275)
• Additional commits viewable in compare view

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[ilya-lavrenov]

@eaidova dependanot complains that older versions has security issues.
Do you think we can merge this update?

[eaidova]

@skuros looks like it is time to stop downgrade onnx, according this issue the proper way to fix this problem for windows is upgrading msvc onnx/onnx#6267

[eaidova]

@ilya-lavrenov I generally no objections, but we need wait when validation team update windows hosts to resolve issue with dll not found. I know that successfully done for openvino ci and there is no requirement to downgrade onnx in this case, but still need to perform the same actions for llm bench perf runs

[peterchen-intel]

CVS-156437