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python312-onnxconverter-common-1.9.0-2.9 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: python312-onnxconverter-common Distribution: openSUSE Tumbleweed
Version: 1.9.0 Vendor: openSUSE
Release: 2.9 Build date: Tue May 3 10:00:26 2022
Group: Unspecified Build host: reproducible
Size: 992609 Source RPM: python-onnxconverter-common-1.9.0-2.9.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/microsoft/onnxconverter-common
Summary: ONNX Converter and Optimization Tools
The onnxconverter-common package provides common functions and utilities for
use in converters from various AI frameworks to ONNX. It also enables the
different converters to work together to convert a model from mixed frameworks,
like a scikit-learn pipeline embedding a xgboost model.

Provides

Requires

License

MIT

Changelog

* Tue May 03 2022 Matej Cepl <mcepl@suse.com>
  - Reenable build for Python 3.10.
* Thu Feb 03 2022 Ben Greiner <code@bnavigator.de>
  - Update to 1.9.0
    * Upgrade to opset 14(#183)
    * Fix RNN version in opset 14 change(#186)
    * Update max supported opset to 15.(#198)
    * Temporarily disable fp16 test(#185)
    * Add op_block_list arg to float16 converter(#190)
    * Add node_block_list to fp16 conversion script(#191)
    * Added script for automatic conversion to float16, excluding
      the minim…(#193)
    * Fix onnx2py for new onnx package(#177)
    * Fix onnx2py to avoid making long paths(#192)
    * Fix onnx2py for seq types(#194)
    * Replace 'output' with 'input' in RuntimeError(#182)
    * Add InstanceNormalization op to DEFAULT_OP_BLOCK_LIST(#197)
  - Skip python310: not supported yet by onnx
* Wed Apr 07 2021 Ben Greiner <code@bnavigator.de>
  - Update to 1.8.0
    API
    * Initialize container node_domain_version_pair_sets (#123)
    * Fix handling onnx model opset after creating Graph (#125)
    * Add CumSum to black list and fix duplicated node name issue
      (#127)
    * Add Softsign activation function. (#135)
    * Enforce model to graph opset (#145)
    * Upgrade op_version to pass onnx initializer checker (#146)
    * Add support for complex number, unsigned integers (#147)
    * Add hummingbird installed method (#134)
    * Set keepdims=1 as default for ReduceSum (#157)
    * Fix rank shift in apply_reducesum and _apply_squeeze_unsqueeze
      (#158)
    Opset 13
    * Update default values for opset 13 (#160)
    * Update to opset 13 (#156)
    * Bump DEFAULT_OPSET_NUMBER = 13 (#159)
    Optimizer
    * (Optimizer) Remove Matmul from broadcast op (#129)
    * (Optimizer) Refine the onnx_fx and optimizer code. (#130)
    * Handle len(pred_0.tensors) == 0 in is_same_node_merge (#133)
    * Hanlde Split op in is_same_node_merge (#136)
    * Fix next.precedence range(1, 5) case in ConvBatchNormOptimizer
      (#137)
    * Add a matmul optimization (#138)
    * Pass Max/Min for PushTransposeSolution (#139)
    * Support the sub graph and constant in const folding (#122)
    PushTranspose
    * Combine TransposeOptimizer and PushTransposeOptimizer into one
      [#131]
    * PushTranspose optimizer for LSTM - Squeeze (#128)
    * Fix PushTransposeSolution for a node_transpose_no_pass case
      [#140]
    * Fix MergeOptimizer for the case Transpose + xxx + Transpose
      (#142)
    * Handle multiple end.precedences for SwapOpSolution (#143)
    * Skip PushTranspose when broadcast has two un-init inputs (#144)
    float16
    * Updated float16 conversion script to maintain sign and
      finiteness of converted constants #153
    * Support >2GB ONNX models for fp16 conversion (#167)
    * fix the version which starts to support infer_shapes_path
      (#168)
    onn2py
    * onnx2py is a tool which converts an ONNX graph into a python
      script (#161, #162, #164, #165, #166)
  - Release 1.7.0
    * supports ONNX 1.7
    * improve the onnx optimizer
    * a new tool to create the ONNX model from a python function.
* Mon Feb 15 2021 Ben Greiner <code@bnavigator.de>
  - NEP 29: Tumbleweed does not have python36-numpy and depending
    packages anymore. Skip python36 build.
* Wed Mar 04 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Add missing dependencies fixing failing tests
  - Update to 1.6.5:
    * e87c572 port the topology bug fixing. (#49)
    * 2ffbcad Support dynamic inputs for apply_slice (#48)
    * 7185620 A better operator builder for ONNXConverter-Common (#46)
    * c452903 Support dynamic pads for Pad opset 11 (#45)
    * 9bc1744 Use axes for Squeeze/Unsqueeze (#44)
    * 66f8887 Allow repeats be string type for apply_tile (#43)
    * 47a6c35 Add apply_conv (#42)
    * 98ee169 Add apply_squeeze (#40)
    * 82f08ed Add apply_gather, apply_greater, apply_gru, etc (#39)
    * 672c5f7 Reformat and clean up some codes.
    * f684aeb Use coordinate_transformation_mode as default parameter (tf 2.0 will change it) (#38)
    * 85e9bcf Add support for detecting if h2o is installed. (#37)
    * b5f216b Handle dynamic shape in apply_reshape (#36)
    * b9700d1 Handle case input_name is list for apply_reshape (#35)
    * 511a071 Generate graph after optimizing onnx model (#34)
* Wed Mar 04 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Rename to onnxconverter-common to match up pypi name
* Mon Mar 02 2020 Christian Goll <cgoll@suse.com>
  - inital commit of the onnx-convertet_common tools version 1.6.0

Files

/usr/lib/python3.12/site-packages/onnxconverter_common
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info/PKG-INFO
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info/SOURCES.txt
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info/dependency_links.txt
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info/requires.txt
/usr/lib/python3.12/site-packages/onnxconverter_common-1.9.0-py3.12.egg-info/top_level.txt
/usr/lib/python3.12/site-packages/onnxconverter_common/__init__.py
/usr/lib/python3.12/site-packages/onnxconverter_common/__pycache__
/usr/lib/python3.12/site-packages/onnxconverter_common/__pycache__/__init__.cpython-312.opt-1.pyc
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/usr/lib/python3.12/site-packages/onnxconverter_common/data_types.py
/usr/lib/python3.12/site-packages/onnxconverter_common/decast.py
/usr/lib/python3.12/site-packages/onnxconverter_common/float16.py
/usr/lib/python3.12/site-packages/onnxconverter_common/interface.py
/usr/lib/python3.12/site-packages/onnxconverter_common/metadata_props.py
/usr/lib/python3.12/site-packages/onnxconverter_common/onnx2py.py
/usr/lib/python3.12/site-packages/onnxconverter_common/onnx_ex.py
/usr/lib/python3.12/site-packages/onnxconverter_common/onnx_fx.py
/usr/lib/python3.12/site-packages/onnxconverter_common/onnx_ops.py
/usr/lib/python3.12/site-packages/onnxconverter_common/oopb.py
/usr/lib/python3.12/site-packages/onnxconverter_common/optimizer.py
/usr/lib/python3.12/site-packages/onnxconverter_common/perfstats.py
/usr/lib/python3.12/site-packages/onnxconverter_common/pytracing.py
/usr/lib/python3.12/site-packages/onnxconverter_common/registration.py
/usr/lib/python3.12/site-packages/onnxconverter_common/shape_calculator.py
/usr/lib/python3.12/site-packages/onnxconverter_common/topology.py
/usr/lib/python3.12/site-packages/onnxconverter_common/tree_ensemble.py
/usr/lib/python3.12/site-packages/onnxconverter_common/utils.py
/usr/share/doc/packages/python312-onnxconverter-common
/usr/share/doc/packages/python312-onnxconverter-common/README.md
/usr/share/licenses/python312-onnxconverter-common
/usr/share/licenses/python312-onnxconverter-common/LICENSE


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