forked from pool/python-onnx
- 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 OBS-URL: https://build.opensuse.org/request/show/1141766 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=41
4 lines
133 B
Plaintext
4 lines
133 B
Plaintext
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