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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: https://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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