Changelog for python312-onnxconverter-common-1.9.0-10.32.noarch.rpm :

* Tue May 03 2022 Matej Cepl - Reenable build for Python 3.10.
* Thu Feb 03 2022 Ben Greiner - 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 - 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 - NEP 29: Tumbleweed does not have python36-numpy and depending packages anymore. Skip python36 build.
* Wed Mar 04 2020 Tomáš Chvátal - 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 - Rename to onnxconverter-common to match up pypi name
* Mon Mar 02 2020 Christian Goll - inital commit of the onnx-convertet_common tools version 1.6.0