mlcommons / training_results_v1.0

This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
https://mlcommons.org/en/training-normal-10/
Apache License 2.0
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Bump onnx from 1.5.0 to 1.15.0 in /Graphcore/benchmarks/bert/implementations/popart #9

Open dependabot[bot] opened 8 months ago

dependabot[bot] commented 8 months ago

Bumps onnx from 1.5.0 to 1.15.0.

Release notes

Sourced from onnx's releases.

v1.15.0

ONNX v1.15.0 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 version increased to 20 with following changes:

  • New Operators (ai.onnx):

    • ImageDecoder a new ImageDecoder operator to be used in preprocessing models
    • RegexFullMatch a new operator for regex matching that is commonly used in feature preprocessing
    • StringConcat takes two string tensors as input and returns the elementwise concatenation of the strings in each tensor
    • StringSplit takes a string tensor as input and splits each element based on a delimiter attribute and a maxsplit attribute
    • AffineGrid Generates a 2D or 3D flow field (sampling grid), given a batch of affine matrices theta
    • Gelu applies gaussian error linear unit function or its approximation to input
  • Operator Updates (ai.onnx):

ai.onnx.ml opset version increased to 4 with following changes:

  • Operator Updates (ai.onnx.ml):
    • LabelEncoder adds keys_as_tensor and values_as_tensor attributes

New functionality:

  • Enable empty list of values as attribute PR#5559
  • Update diff bakend node tests for auto update doc PR#5604
  • Enable pylint checks with Ruff and remove pylint from lintrunner PR#5589
  • Getting onnx to treat inf/-inf as float literals. PR#5528
  • Create the onnxtxt serialization format PR#5524
  • Support JSON as a serialization target PR#5523
  • Support for parsing and printing empty list value as attribute PR#5516
  • Add auto update doc pipeline to help developers update docs PR#5450
  • Implement GELU as function op PR#5277
  • Integrate function-inlining with version-conversion PR#5211
  • Extend function type inference to handle missing optional parameters PR#5169
  • Create repr functions for OpSchema PR#5117
  • Utility to inline model-local functions PR#5105
  • Faster reference implementation for operator Conv based on im2col PR#5069
  • Support textproto as a serialization format PR#5112

... (truncated)

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