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Name: python39-onnxconverter-common | Distribution: openSUSE:Factory:zSystems |
Version: 1.9.0 | Vendor: openSUSE |
Release: 2.1 | Build date: Wed Sep 27 03:42:35 2023 |
Group: Unspecified | Build host: s390zl25 |
Size: 593178 | Source RPM: python-onnxconverter-common-1.9.0-2.1.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.
MIT
* 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
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/usr/share/licenses/python39-onnxconverter-common/LICENSE
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