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