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| Name: onnx-devel | Distribution: openSUSE Tumbleweed |
| Version: 1.16.0 | Vendor: openSUSE |
| Release: 2.1 | Build date: Sat Jun 22 11:33:24 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 1095794 | Source RPM: python-onnx-1.16.0-2.1.src.rpm |
| Packager: http://bugs.opensuse.org | |
| Url: https://onnx.ai/ | |
| Summary: Header files of onnx | |
Header files of ONNX.
MIT
* Sat Jun 22 2024 Sarah Kriesch <sarah.kriesch@opensuse.org>
- Disable tests for s390x based on IBM support without working tests (boo#1215337)
* Wed Mar 27 2024 Christian Goll <cgoll@suse.com>
- 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
* Fri Jan 26 2024 Christian Goll <cgoll@suse.com>
- 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
+ Add auto update doc pipeline to help developers update docs
+ Implement GELU as function op
+ Integrate function-inlining with version-conversion
+ Extend function type inference to handle missing optional parameters
+ Create repr functions for OpSchema
+ Utility to inline model-local functions
+ Faster reference implementation for operator Conv based on im2col
+ Support textproto as a serialization format
* ONNX now supports serializing to JSON, Text Proto as well as the ONNX Text
Representation
* Users are now able to serialize the model proto to a text format by
specifying supported file extensions or supplying the format= argument in
save_model.
* Bug fixes
+ Do not use LFS64 on non-glibc linu
+ Reject absolute path when saving external data
+ Support Python editable builds
+ Supports float 8 initializers in ReferenceEvaluator
+ Transpose scalar shape inference
+ Enable RUFF as a formatter
+ Fix type constraints of Reshape(19)
* Wed Oct 11 2023 ecsos <ecsos@opensuse.org>
- 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
* Thu Sep 21 2023 ecsos <ecsos@opensuse.org>
- Add %{?sle15_python_module_pythons}
* Fri Jul 21 2023 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Use older protobuf (protobuf21) to fix build
* Mon Oct 17 2022 pgajdos@suse.com
- python-six is not required
* Wed Jul 20 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update to version 1.12.0: https://github.com/onnx/onnx/releases/tag/v1.12.0
- Drop upstream patch:
* 3734-enable-python310.patch
* Tue May 03 2022 Matej Cepl <mcepl@suse.com>
- Add 3734-enable-python310.patch to make the package Python 3.10
compatible (gh#onnx/onnx#3734).
- Remove no-python2.patch, it is really better to fix shebang
with a sed command.
* Fri Jan 14 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update to 1.10.2: https://github.com/onnx/onnx/releases/tag/v1.10.2
- Rebase no-python2.patch
- Disable python 3.10 support as onnx is not ready yet.
- Do not run tests in parallel, since it is not parallel safe.
* Mon Feb 15 2021 Ben Greiner <code@bnavigator.de>
- NEP 29: Tumbleweed does not have python36-numpy and depending
packages anymore. Skip python36 build.
- Make setup.py cmake call and %cmake macros compatible, even for
multiple python3 flavors (when we get python39)
- Fix boo#1182258
* Fri Feb 05 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- 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
/usr/include/onnx /usr/include/onnx/bin /usr/include/onnx/checker.h /usr/include/onnx/common /usr/include/onnx/common/array_ref.h /usr/include/onnx/common/assertions.h /usr/include/onnx/common/common.h /usr/include/onnx/common/constants.h /usr/include/onnx/common/file_utils.h /usr/include/onnx/common/graph_node_list.h /usr/include/onnx/common/interned_strings.h /usr/include/onnx/common/ir.h /usr/include/onnx/common/ir_pb_converter.h /usr/include/onnx/common/model_helpers.h /usr/include/onnx/common/path.h /usr/include/onnx/common/platform_helpers.h /usr/include/onnx/common/proto_util.h /usr/include/onnx/common/status.h /usr/include/onnx/common/tensor.h /usr/include/onnx/common/version.h /usr/include/onnx/common/visitor.h /usr/include/onnx/defs /usr/include/onnx/defs/attr_proto_util.h /usr/include/onnx/defs/controlflow /usr/include/onnx/defs/controlflow/utils.h /usr/include/onnx/defs/data_propagators.h /usr/include/onnx/defs/data_type_utils.h /usr/include/onnx/defs/function.h /usr/include/onnx/defs/generator /usr/include/onnx/defs/generator/utils.h /usr/include/onnx/defs/image /usr/include/onnx/defs/logical /usr/include/onnx/defs/math /usr/include/onnx/defs/math/utils.h /usr/include/onnx/defs/nn /usr/include/onnx/defs/object_detection /usr/include/onnx/defs/operator_sets.h /usr/include/onnx/defs/operator_sets_ml.h /usr/include/onnx/defs/operator_sets_preview.h /usr/include/onnx/defs/operator_sets_training.h /usr/include/onnx/defs/optional /usr/include/onnx/defs/parser.h /usr/include/onnx/defs/printer.h /usr/include/onnx/defs/quantization /usr/include/onnx/defs/reduction /usr/include/onnx/defs/reduction/utils.h /usr/include/onnx/defs/rnn /usr/include/onnx/defs/schema.h /usr/include/onnx/defs/sequence /usr/include/onnx/defs/shape_inference.h /usr/include/onnx/defs/tensor /usr/include/onnx/defs/tensor/utils.h /usr/include/onnx/defs/tensor_proto_util.h /usr/include/onnx/defs/tensor_util.h /usr/include/onnx/defs/text /usr/include/onnx/defs/traditionalml /usr/include/onnx/defs/traditionalml/utils.h /usr/include/onnx/defs/training /usr/include/onnx/examples /usr/include/onnx/examples/resources /usr/include/onnx/frontend /usr/include/onnx/inliner /usr/include/onnx/inliner/inliner.h /usr/include/onnx/onnx-data.pb.h /usr/include/onnx/onnx-data_pb.h /usr/include/onnx/onnx-ml.pb.h /usr/include/onnx/onnx-operators-ml.pb.h /usr/include/onnx/onnx-operators_pb.h /usr/include/onnx/onnx_cpp2py_export /usr/include/onnx/onnx_pb.h /usr/include/onnx/proto_utils.h /usr/include/onnx/py_utils.h /usr/include/onnx/reference /usr/include/onnx/reference/ops /usr/include/onnx/reference/ops/aionnx_preview_training /usr/include/onnx/reference/ops/aionnxml /usr/include/onnx/reference/ops/experimental /usr/include/onnx/reference/ops_optimized /usr/include/onnx/shape_inference /usr/include/onnx/shape_inference/attribute_binder.h /usr/include/onnx/shape_inference/implementation.h /usr/include/onnx/string_utils.h /usr/include/onnx/test /usr/include/onnx/test/cpp /usr/include/onnx/test/version_converter /usr/include/onnx/tools /usr/include/onnx/version_converter /usr/include/onnx/version_converter/BaseConverter.h /usr/include/onnx/version_converter/adapters /usr/include/onnx/version_converter/adapters/adapter.h /usr/include/onnx/version_converter/adapters/axes_attribute_to_input.h /usr/include/onnx/version_converter/adapters/axes_input_to_attribute.h /usr/include/onnx/version_converter/adapters/axis_attribute_to_input.h /usr/include/onnx/version_converter/adapters/axis_input_to_attribute.h /usr/include/onnx/version_converter/adapters/batch_normalization_13_14.h /usr/include/onnx/version_converter/adapters/broadcast_backward_compatibility.h /usr/include/onnx/version_converter/adapters/broadcast_forward_compatibility.h /usr/include/onnx/version_converter/adapters/cast_9_8.h /usr/include/onnx/version_converter/adapters/clip_10_11.h /usr/include/onnx/version_converter/adapters/compatible.h /usr/include/onnx/version_converter/adapters/dropout_11_12.h /usr/include/onnx/version_converter/adapters/extend_supported_types.h /usr/include/onnx/version_converter/adapters/gemm_6_7.h /usr/include/onnx/version_converter/adapters/gemm_7_6.h /usr/include/onnx/version_converter/adapters/gridsample_19_20.h /usr/include/onnx/version_converter/adapters/group_normalization_20_21.h /usr/include/onnx/version_converter/adapters/maxpool_8_7.h /usr/include/onnx/version_converter/adapters/no_previous_version.h /usr/include/onnx/version_converter/adapters/pad_10_11.h /usr/include/onnx/version_converter/adapters/q_dq_21_20.h /usr/include/onnx/version_converter/adapters/remove_consumed_inputs.h /usr/include/onnx/version_converter/adapters/reshape_4_5.h /usr/include/onnx/version_converter/adapters/reshape_5_4.h /usr/include/onnx/version_converter/adapters/resize_10_11.h /usr/include/onnx/version_converter/adapters/scan_8_9.h /usr/include/onnx/version_converter/adapters/scan_9_8.h /usr/include/onnx/version_converter/adapters/scatter_10_11.h /usr/include/onnx/version_converter/adapters/slice_9_10.h /usr/include/onnx/version_converter/adapters/softmax_12_13.h /usr/include/onnx/version_converter/adapters/split_12_13.h /usr/include/onnx/version_converter/adapters/split_13_12.h /usr/include/onnx/version_converter/adapters/split_17_18.h /usr/include/onnx/version_converter/adapters/sum_8_7.h /usr/include/onnx/version_converter/adapters/topk_9_10.h /usr/include/onnx/version_converter/adapters/transformers.h /usr/include/onnx/version_converter/adapters/type_restriction.h /usr/include/onnx/version_converter/adapters/upsample_6_7.h /usr/include/onnx/version_converter/adapters/upsample_8_9.h /usr/include/onnx/version_converter/adapters/upsample_9_10.h /usr/include/onnx/version_converter/adapters/upsample_9_8.h /usr/include/onnx/version_converter/convert.h /usr/include/onnx/version_converter/helper.h /usr/lib64/cmake/ONNX /usr/lib64/cmake/ONNX/ONNXConfig.cmake /usr/lib64/cmake/ONNX/ONNXConfigVersion.cmake /usr/lib64/cmake/ONNX/ONNXTargets-relwithdebinfo.cmake /usr/lib64/cmake/ONNX/ONNXTargets.cmake
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