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here is the log from the commit of package python-onnxconverter-common for 
openSUSE:Factory checked in at 2021-04-12 15:48:44
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-onnxconverter-common (Old)
 and      /work/SRC/openSUSE:Factory/.python-onnxconverter-common.new.2401 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-onnxconverter-common"

Mon Apr 12 15:48:44 2021 rev:2 rq:883621 version:1.8.0

Changes:
--------
--- 
/work/SRC/openSUSE:Factory/python-onnxconverter-common/python-onnxconverter-common.changes
  2020-03-05 23:18:56.557199682 +0100
+++ 
/work/SRC/openSUSE:Factory/.python-onnxconverter-common.new.2401/python-onnxconverter-common.changes
        2021-04-12 15:48:46.141192547 +0200
@@ -1,0 +2,61 @@
+Wed Apr  7 09:12:01 UTC 2021 - Ben Greiner <[email protected]>
+
+- 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 16:49:25 UTC 2021 - Ben Greiner <[email protected]>
+
+- NEP 29: Tumbleweed does not have python36-numpy and depending
+  packages anymore. Skip python36 build.
+
+-------------------------------------------------------------------

Old:
----
  onnxconverter_common-1.6.5.tar.gz

New:
----
  onnxconverter_common-1.8.0.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-onnxconverter-common.spec ++++++
--- /var/tmp/diff_new_pack.dg92Ah/_old  2021-04-12 15:48:46.925193496 +0200
+++ /var/tmp/diff_new_pack.dg92Ah/_new  2021-04-12 15:48:46.929193501 +0200
@@ -1,7 +1,7 @@
 #
 # spec file for package python-onnxconverter-common
 #
-# Copyright (c) 2020 SUSE LLC
+# Copyright (c) 2021 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -16,28 +16,28 @@
 #
 
 
+%{?!python_module:%define python_module() python3-%{**}}
 %define skip_python2 1
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
+# Tumbleweed does not have a python36-numpy anymore: NEP 29 dropped Python 3.6 
for NumPy 1.20
+%define skip_python36 1
 Name:           python-onnxconverter-common
-Version:        1.6.5
+Version:        1.8.0
 Release:        0
 Summary:        ONNX Converter and Optimization Tools
 License:        MIT
 URL:            https://github.com/microsoft/onnxconverter-common
-Source:         
https://github.com/microsoft/onnxconverter-common/archive/v%{version}.tar.gz#/onnxconverter_common-%{version}.tar.gz
+Source:         
https://github.com/microsoft/onnxconverter-common/archive/%{version}.tar.gz#/onnxconverter_common-%{version}.tar.gz
 BuildRequires:  %{python_module numpy}
 BuildRequires:  %{python_module onnx}
 BuildRequires:  %{python_module protobuf}
 BuildRequires:  %{python_module pytest}
 BuildRequires:  %{python_module setuptools}
-BuildRequires:  %{python_module six}
 BuildRequires:  dos2unix
 BuildRequires:  fdupes
 BuildRequires:  python-rpm-macros
 Requires:       python-numpy
 Requires:       python-onnx
 Requires:       python-protobuf
-Requires:       python-six
 BuildArch:      noarch
 %python_subpackages
 
@@ -58,12 +58,14 @@
 %python_install
 %python_expand %fdupes %{buildroot}%{$python_sitelib}
 
+%check
+# no onnxruntime in Factory
+ignorefiles="--ignore tests/test_float16.py --ignore tests/test_onnx2py.py 
--ignore tests/test_onnxfx.py"
+%pytest $ignorefiles
+
 %files %{python_files}
 %license LICENSE
 %doc README.md
 %{python_sitelib}/onnxconverter_common*
 
-%check
-%pytest
-
 %changelog

++++++ onnxconverter_common-1.6.5.tar.gz -> onnxconverter_common-1.8.0.tar.gz 
++++++
/work/SRC/openSUSE:Factory/python-onnxconverter-common/onnxconverter_common-1.6.5.tar.gz
 
/work/SRC/openSUSE:Factory/.python-onnxconverter-common.new.2401/onnxconverter_common-1.8.0.tar.gz
 differ: char 13, line 1

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