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onnx-devel-1.14.1-1.1 RPM for ppc64le

From OpenSuSE Ports Tumbleweed for ppc64le

Name: onnx-devel Distribution: openSUSE Tumbleweed
Version: 1.14.1 Vendor: openSUSE
Release: 1.1 Build date: Thu Oct 12 23:53:53 2023
Group: Unspecified Build host: obs-power8-01
Size: 1016381 Source RPM: python-onnx-1.14.1-1.1.src.rpm
Packager: http://bugs.opensuse.org
Url: https://onnx.ai/
Summary: Header files of onnx
Header files of ONNX.

Provides

Requires

License

MIT

Changelog

* 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
* Tue Jul 14 2020 Christian Goll <cgoll@suse.com>
  - 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
* Tue Jul 07 2020 Christian Goll <cgoll@suse.com>
  - updated to version 1.7.0 with following highlights:
    * Training Support, as a tech preview
    * Opset has been updated to version 12
  - removed not needed patch: protobuf.patch
* Thu May 21 2020 Petr Gajdos <pgajdos@suse.com>
  - %python3_only -> %python_alternative
* Thu Apr 23 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Force the interpreter to match the one during build
  - Mypy should use python3 to generate stuff not python2
    * no-python2.patch
* Thu Apr 23 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Do not pull in py2 devel of pybind11
* Mon Mar 23 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Do also provide/obsolete for the devel to support migration
* Wed Mar 18 2020 Christian Goll <cgoll@suse.com>
  - provide also python-onnx-devel for backcompat
* Sun Mar 15 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Add patch to fix build with new protobuf:
    * protobuf.patch
* Wed Mar 04 2020 Christian Goll <cgoll@suse.com>
  - created just one package, as other packages require the
    source file within the package
* Tue Feb 25 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Add missing dependencies and enable testsuite
* Tue Feb 25 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Force onnx static build in cmake round to ensure we do not
    end up with unresolvable pkg
* Mon Feb 24 2020 Tomáš Chvátal <tchvatal@suse.com>
  - 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)
* Mon Feb 24 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Force building with system cmake to respect system definitions
    and to provide debug information for later on
* Wed Jan 08 2020 Christian Goll <cgoll@suse.com>
  - moved necessary defs from devel to main package

Files

/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/status.h
/usr/include/onnx/common/stl_backports.h
/usr/include/onnx/common/tensor.h
/usr/include/onnx/common/version.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/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/traditionalml
/usr/include/onnx/defs/training
/usr/include/onnx/examples
/usr/include/onnx/examples/resources
/usr/include/onnx/frontend
/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/shape_inference
/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/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/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/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/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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Fabrice Bellet, Sat Apr 27 23:25:49 2024