forked from pool/python-onnx
Guillaume GARDET
ed62183b23
- 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