Overview

Request 1141766 accepted

- update to 1.15.0
* 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):
+ ConstantOfShape extends supported data types
+ GridSample extends to ND data
+ ReduceMax adds support for boolean
+ ReduceMin adds support for boolean
+ IsNan adds support of float8 types
+ IsInf adds support of float8 types
+ DFT promote axis as input
* New functionality:
+ Enable empty list of values as attribute
+ Update diff bakend node tests for auto update doc
+ Enable pylint checks with Ruff and remove pylint from lintrunner
+ Getting onnx to treat inf/-inf as float literals.
+ Create the onnxtxt serialization format
+ Support JSON as a serialization target
+ Support for parsing and printing empty list value as attribute

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Request History
Christian Goll's avatar

mslacken created request

- update to 1.15.0
* 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):
+ ConstantOfShape extends supported data types
+ GridSample extends to ND data
+ ReduceMax adds support for boolean
+ ReduceMin adds support for boolean
+ IsNan adds support of float8 types
+ IsInf adds support of float8 types
+ DFT promote axis as input
* New functionality:
+ Enable empty list of values as attribute
+ Update diff bakend node tests for auto update doc
+ Enable pylint checks with Ruff and remove pylint from lintrunner
+ Getting onnx to treat inf/-inf as float literals.
+ Create the onnxtxt serialization format
+ Support JSON as a serialization target
+ Support for parsing and printing empty list value as attribute


Guillaume GARDET's avatar

Guillaume_G accepted request

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