![]() ![]() ![]() Integrate function-inlining with version-conversion PR#5211.Add auto update doc pipeline to help developers update docs PR#5450.Support for parsing and printing empty list value as attribute PR#5516.Support JSON as a serialization target PR#5523.Create the onnxtxt serialization format PR#5524.Getting onnx to treat inf/-inf as float literals.Enable pylint checks with Ruff and remove pylint from lintrunner PR#5589.Update diff bakend node tests for auto update doc PR#5604.Enable empty list of values as attribute PR#5559.LabelEncoder adds keys_as_tensor and values_as_tensor attributes.ConstantOfShape extends supported data typesĪi.onnx.ml opset version increased to 4 with following changes:.Gelu applies gaussian error linear unit function or its approximation to input.AffineGrid Generates a 2D or 3D flow field (sampling grid), given a batch of affine matrices theta.StringSplit takes a string tensor as input and splits each element based on a delimiter attribute and a maxsplit attribute.StringConcat takes two string tensors as input and returns the elementwise concatenation of the strings in each tensor.RegexFullMatch a new operator for regex matching that is commonly used in feature preprocessing.ImageDecoder a new ImageDecoder operator to be used in preprocessing models. ![]() New features, bug fixes, and document updatesĪi.onnx opset version increased to 20 with following changes: Updated existing operators: ConstantOfShape #5390 GridSample #5010 ReduceMax #5539 ReduceMin #5539 IsNan #5583 IsInf #5583 DFT #5514 LabelEncoder #5453 Key UpdatesĪdded new operators: ImageDecoder #5294 RegexFullMatch #5401 StringConcat #5350 StringSplit #5371 AffineGrid #5225 Gelu #5277 ![]() 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. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |