python311-onnx-1.16.0-2.2 RPM for armv6hl

From OpenSuSE Ports Tumbleweed for armv6hl

Open format to represent deep learning models. With ONNX, AI developers can
more easily move models between state-of-the-art tools and choose the
combination that is best for them. ONNX is developed and supported by a
community of partners.

Provides

• python311-onnx
• python3-onnx
• python3-onnx-devel
• python3.11dist(onnx)
• python311-onnx(armv6hl-32)
• python311-onnx-devel
• python3dist(onnx)

Requires

• /bin/sh
• /bin/sh
• /usr/bin/python3.11
• ld-linux-armhf.so.3
• ld-linux-armhf.so.3(GLIBC_2.4)
• libc.so.6
• libc.so.6(GLIBC_2.32)
• libc.so.6(GLIBC_2.33)
• libc.so.6(GLIBC_2.34)
• libc.so.6(GLIBC_2.38)
• libc.so.6(GLIBC_2.4)
• libgcc_s.so.1
• libgcc_s.so.1(GCC_3.5)
• libm.so.6
• libm.so.6(GLIBC_2.4)
• libonnx = 1.16.0
• libonnx_proto = 1.16.0
• libprotobuf-3.21.12.so
• libstdc++.so.6
• libstdc++.so.6(CXXABI_1.3)
• libstdc++.so.6(CXXABI_1.3.11)
• libstdc++.so.6(CXXABI_1.3.13)
• libstdc++.so.6(CXXABI_1.3.15)
• libstdc++.so.6(CXXABI_1.3.2)
• libstdc++.so.6(CXXABI_1.3.3)
• libstdc++.so.6(CXXABI_1.3.5)
• libstdc++.so.6(CXXABI_1.3.9)
• libstdc++.so.6(CXXABI_ARM_1.3.3)
• libstdc++.so.6(GLIBCXX_3.4)
• libstdc++.so.6(GLIBCXX_3.4.11)
• libstdc++.so.6(GLIBCXX_3.4.14)
• libstdc++.so.6(GLIBCXX_3.4.15)
• libstdc++.so.6(GLIBCXX_3.4.18)
• libstdc++.so.6(GLIBCXX_3.4.20)
• libstdc++.so.6(GLIBCXX_3.4.21)
• libstdc++.so.6(GLIBCXX_3.4.26)
• libstdc++.so.6(GLIBCXX_3.4.29)
• libstdc++.so.6(GLIBCXX_3.4.32)
• libstdc++.so.6(GLIBCXX_3.4.9)
• python(abi) = 3.11
• python311-numpy
• python311-protobuf
• python311-typing_extensions >= 3.6.2.1
• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PartialHardlinkSets) <= 4.0.4-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsZstd) <= 5.4.18-1
• update-alternatives

License

MIT

Changelog

* 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

Files

/etc/alternatives/backend-test-tools
/etc/alternatives/check-model
/etc/alternatives/check-node
/usr/bin/backend-test-tools
/usr/bin/backend-test-tools-3.11
/usr/bin/check-model
/usr/bin/check-model-3.11
/usr/bin/check-node
/usr/bin/check-node-3.11
/usr/lib/python3.11/site-packages/onnx
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/PKG-INFO
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/SOURCES.txt
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/dependency_links.txt
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/entry_points.txt
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/requires.txt
/usr/lib/python3.11/site-packages/onnx-1.16.0-py3.11.egg-info/top_level.txt
/usr/lib/python3.11/site-packages/onnx/__init__.py
/usr/lib/python3.11/site-packages/onnx/__pycache__
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/usr/lib/python3.11/site-packages/onnx/backend/sample
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/usr/lib/python3.11/site-packages/onnx/backend/sample/__pycache__
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/usr/lib/python3.11/site-packages/onnx/backend/sample/ops
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Fabrice Bellet, Fri Sep 27 00:33:08 2024