baserev update by copy to link target

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- Reenable build for Python 3.10.

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- 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

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baserev update by copy to link target

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- 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.

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- NEP 29: Tumbleweed does not have python36-numpy and depending
  packages anymore. Skip python36 build.

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initialized devel package after accepting 781399

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- 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)

- Rename to onnxconverter-common to match up pypi name

- inital commit of the onnx-convertet_common tools version 1.6.0

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osc copypac from project:science:machinelearning package:python-onnxconverter_common revision:1

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