- update to 1.16.0
* Update to support int4 and uint4:
+ Cast, CastLike, Constant, ConstantOfShape, Identity, If,
Loop, Reshape, Scan, Shape, Size
* Update to support float8e4m3fnuz, float8e5m2, float8e5m2fnuz,
int4 and uint4:
+ Flatten, Pad, Squeeze, Transpose, Unsqueeze
* Support blocked quantization. Support int4, uint4, int16, and uint16:
+ DequantizeLinear, QuantizeLinear,
* Support bfloat16 and float16 scales. Support float8e4m3fn,
float8e4m3fnuz, float8e5m2, float8e5m2fnuz quantized tensors:
+ QLinearMatMul,
* Add stash_type attribute and change input shape of scale and
bias from (G) to (C) for GroupNormalization
* ai.onnx.ml Opset 4
* Addeded new operator TreeEnsemble
* IR Version 10
+ Added support for UINT4, INT4 types
+ GraphProto, FunctionProto, NodeProto, TensorProto added
metadata_props field
+ FunctionProto added value_info field
+ FunctionProto and NodeProto added overload field to support
overloaded functions.
- Security Updates
* Fix path sanitization bypass leading to arbitrary read
(CVE-2024-27318)
* Fix Out of bounds read due to lack of string termination in
assert (CVE-2024-27319)
- Several Bug fixes and infrastructure improvements
- removed python39 support
OBS-URL: https://build.opensuse.org/request/show/1162838
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=43
- 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
- Update to 1.14.1
* Bug fixes
- Fix shape data propagation function to handle missing optional parameters #5219
- Fix a couple of shape inference issues #5223
- Extend function type inference to handle missing optional parameters #5169
- Fix check_tensor to work with large models on Windows #5227
- Fix check_tensor to work with large models on UNIX #5286
- Changes from 1.14.0
* Opset 19 is released
* New operators
- DeformConv added in #4783
* Operator extensions
- Equal - Support for string data type added in #4828
- AveragePool - New attribute dilations #4790
- Pad - Added new wrap to the mode attribute to support circular padding #4793
- Resize - Added half_pixel_symmetric to the coordinate_transformation_mode attribute #4862
* IR updates (bump to 9)
- Support attributes with default values: #4911
- Added 4 new 8-bit floating point data types: #4805
* Backend tests
- Replaced real models with light models in backend tests. #4861#4960
* Support Protobuf v21
- Now ONNX supports Protobuf v21: #4956
* Deprecation notice
- Python 3.7 support will be deprecated due to EOL in next release: #5191
- onnx-weekly package will be deprecated in TestPyPI.
Please use them from PyPI instead: #4930
- Properties in FormalParameter will be deprecated in future release.
Please use newer properties name: #5074
- Variables from mapping.py will be deprecated and become private implementation details.
Please use public functions to get corresponding types from helper.py instead: #4554
- Changes from 1.13.1
* Bug fixes
- Add missing f-string for DeprecatedWarningDict in mapping.py #4707
- Fix types deprecated in numpy==1.24 #4721
- Update URL for real models from ONNX Runtime #4865
- Fix attribute substitution within subgraphs during function type/shape inference #4792
- Handle variants of constant op in shape inference #4824
- Fix parser bug in handling non-tensor types #4863
- Fix function shape inference bug #4880
* Announcement
- Deprecate real model tests from onnx repo in next ONNX release #4885
- Move onnx-weekly package from TestPyPI to PyPI and stop
uploading onnx-weekly to TestPyPI after next ONNX release #4930
- Changes from 1.13.0
* New operators
- Col2Im added in #3948
- BitwiseNot added in #4497
- BitwiseAnd, BitwiseOr and BitwiseXor added in #4496
* Operator extensions
- Resize - New attributes: antialias, axes and keep_aspect_ratio_policy, allow for both scales and sizes to be provided when one of them is an empty constant #4126, #4388
- Pad - New attribute axes #4190
- OptionalHasElement - New input types handling #4326
- OptionalHasElement and OptionalGetElement - Accept tensor and sequence types #4421
- ScatterElement and ScatterND - Add max and min as supported reduction attributes #4411
- Split - Add support for uneven tensor splitting and a new num_outputs attribute #4481
- LpPool - New attributes: ceil_mode and dilations #4534
* Function updates
- CenterCropPad added in #4190
- mish added in #4350
- GroupNormalization added in #4621
* Reference Python runtime
- Reference Python runtime dependent on only Python and numpy has been added. #4483
* Python 3.11 support
- ONNX 1.13.0 supports Python 3.11. #4490
* Apple Silicon support
- Support for M1/M2 ARM processors has been added. #4642
* More
ONNX 1.13.0 also comes with numerous:
- bugfixes
- infrastructure improvements
- CI improvements
- documentation updates
- security updates
For full details see
https://github.com/onnx/onnx/wiki/Logistics-for-ONNX-Release-1.13.0
* Deprecation notice
- TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
- ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
- Add %{?sle15_python_module_pythons}
OBS-URL: https://build.opensuse.org/request/show/1117439
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=39
- Update to 1.8.1: https://github.com/onnx/onnx/releases/tag/v1.8.1
* Bug fixes:
- #3169 To resolve memory crash on Windows, register python exceptions and update exceptions handling
- #3171 Fix bugs in external data helpers and add add size thresholds for converting
- #2961 Fix build issues on some distributions of linux due to hard dependency on python2
- #3221 Fix mypy wrapper error while using ONNX as a submodule
- Changes from skipped 1.8.0: https://github.com/onnx/onnx/releases/tag/v1.8.0
* Training
- Added Differentiable tags to make Gradient operator better defined #2723, #2893, #2911, #2954
- Removed GraphCall; eliminated need to implement GraphCall #2964
- Created a tool and example for users to use TrainingInfoProto for training #3008
* Shape Inference and Checker
- Large model (>2GB model) support added for checker and shape_inference #2744
- Graph level shape inference fixes to patch the IR gap introduced since IR version 4 #3023
- Node level shape inference fixes for operators
* Version Converter
- More operators supported #2664
* General Features
- Added serialization for inputs and outputs of Sequence and Map data types #2581
- Added programmatic access to version-table and extend make-model #2918
- Added size check to make_tensor #2987
- Drop patch as the related problem has been fixed upstream:
* using-onnxruntime-proto.patch
OBS-URL: https://build.opensuse.org/request/show/872358
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=27
- reorganized package in order to have shared library support.
Additional packages are:
* onnx-devel
* libonnxifi_dummy
* libonnx
* onnx-devel
As no so versions for the shared libraries are available, there
is not a explicit dependency for the shared libraries.
The archive file libonnxifi_loader.a is explicitely allowed in
the rpmlintrc as this archive file is consumed by libonnxifi_loader.so
- Added the proto files from onnxruntime so that both packages can
use the same shared libraries:
* added using-onnxruntime-proto.patch
OBS-URL: https://build.opensuse.org/request/show/821861
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-onnx?expand=0&rev=25
- Add missing dependencies and enable testsuite
- Force onnx static build in cmake round to ensure we do not
end up with unresolvable pkg
- Remove testing fluff from previous change and properly loop
the cmake call for each python variant
- Enable python2 (well rather not explicitly disable it as there
is no need for that at the momment)
- Force building with system cmake to respect system definitions
and to provide debug information for later on
OBS-URL: https://build.opensuse.org/request/show/779106
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-onnx?expand=0&rev=3
