Describe the feature request

We are releasing ONNX 1.17.0. A release branch is created (https://github.com/onnx/onnx/tree/rel-1.17.0). The planned release date is September 30, 2024. Release candidates are also available from TestPyPI:

pip install -i https://test.pypi.org/simple/ --pre onnx

Note: If you system installs from the source tar.gz, you might encounter an error about the version of setuptools available when building onnx from the tar.gz. If so use:

pip install --upgrade -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple --pre onnx

It is important to integrate ONNX release branch into ORT ASAP so that any issues and incompatibilities can be detected and resolved before the ONNX release.

Please follow instructions at (https://github.com/microsoft/onnxruntime/blob/master/docs/How_To_Update_ONNX_Dev_Notes.md) to integrate with the ONNX release branch. Please implement CPU kernels for new and updated ONNX ops. A list of new and updated ops can be found at (https://github.com/onnx/onnx/wiki/Logistics-for-ONNX-Release-1.17.0).

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
• Support for numpy >= 2.0

In case a bug in ONNX is detected during integration of ONNX 1.17.0, please open a ONNX Bug Report and tag ONNX Release Manager - Raghavan @roborags so that the bug is fixed in the ONNX release branch.

Describe scenario use case

ORT is integrated with ONNX rel-1.17.0 with all CI pipelines passing.