Bump onnx from 1.10.1 to 1.11.0 in /src/bindings/python

[dependabot]

Bumps onnx from 1.10.1 to 1.11.0.

Release notes

Sourced from onnx's releases.

v1.11.0

ONNX v1.11.0 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

• Added new operators: GridSample onnx/onnx#3557)
• Updated existing operators: Identity, If, LeakyRelu, Loop, PRelu, RoiAlign, Scan, ScatterElements, ScatterND, Where, GreaterOrEqual, LessOrEqual, TreeEnsembleClassifier, TreeEnsembleRegressor
• Added Model Hub for users to get started with state-of-the-art pre-trained ONNX models from the ONNX Model Zoo or for researchers and model developers to share models. #3712
• Added a set of compose utilities to create a combined model that includes both preprocessing and inferencing networks #3820.
• Added FunctionBuilder utility class to help construct function ops #3882.
• Miscellanea shape inference enhancements.
• Miscellanea bugfixes and infrastructure improvements.
• Miscellanea documentation updates.

ai.onnx opset version increased to 16 with following changes:

• New Operators (ai.onnx):
  • GridSample
• Operator Updates (ai.onnx):
  • Identity, add optional type support.
  • If, add optional data type support for output.
  • LeakyRelu, add bfloat16 type support.
  • Loop, add optional data type support for initial value and output.
  • PRelu, add bfloat16 type support.
  • RoiAlign, add an attribute coordinate_transformation_mode, correct the default behavior.
  • Scan, add bfloat16 type support for output.
  • ScatterElements, add reduction attribute.
  • ScatterND, add reduction attribute.
  • Where, extend Where op to permit bfloat16 types.
  • GreaterOrEqual, add bfloat16 type support.
  • LessOrEqual, add bfloat16 type support.

ai.onnx.ml opset version increased to 3 with following changes:

• TreeEnsembleClassifier, support tensor as attributes.
• TreeEnsembleRegressor, support tensor as attributes.

New functionality:

• A new Model Hub for users to get started with state-of-the-art pre-trained ONNX models from the ONNX Model Zoo or for researchers and model developers to share models. onnx/onnx#3712
• Add compose utility to help with creating and combining models out of several graphs. onnx/onnx#3820
• Add FunctionBuilder utility class to help construct function ops. onnx/onnx#3882

Shape inference enhancements

• Extend optional type inference. #3756
• Make shape inference handle MapProto. #3772
• Improve rank inference for Expand op. #3807
• Enhance shape inference: ParseData/Transpose/QuantizeLinear. #3806
• Honor existing dim_param in shape inference. #3896
• Shape inference for functions. #3722
• Use symbolic input for shape inference of ConstantOfShape. #3784

Bug fixes and infrastructure improvements

• Use MSVC Runtime as dll for official ONNX Windows release. #3644

... (truncated)

Commits

• 96046b8 use final version number 1.11.0 (#4025)
• f6053e4 Fix Expand shape inference: stop rank inference if the shape is symbolic (#4019)
• c9d61b6 Use urlopen from urllib.request to download models instead of wget (#4006)
• c2a3364 add FunctionBuilder.Const() api to take a tensor argument (#4005)
• 046e3ac use v2 to get Python 3.6 support (#4002)
• b63425f bring back decl of propagateElemTypeFromTensorInputToOutput which is needed b...
• 4a21851 [BUG] Use correct pytest types in backend (#3990) (#3994)
• cb592a8 prepare 1.11.0rc build
• 6a2e9c1 gen_doc: strip trailing space (#3983)
• f0c4ee2 Fix some bugs with Resize (#3976)
• Additional commits viewable in compare view

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