tf2onnx-v1.6.3
Summary
This is a minor bug fix release on top of tf2onnx-v1.6.2.
Changes since v1.6.2
- Implemented MaxPool3D and AvgPool3D 1020 (TomWildenhain-Microsoft)
- Remove unnecessary deepcopy when accessing output from class Node 1019 (xadupre)
- Fixes #1011, add support for atan2 1016 (xadupre)
- Fixed LSTM conversion for TF2 1012 (TomWildenhain-Microsoft)
- Fixes #500, replaces operator FakeQuantWithMinMaxVars 1009 (xadupre)
- Adjust spatial shape to meet rank requirements for Conv*D 1005 (jignparm)
- Fix transpose optimizer when handling "if" operator subgraphs 1004 (jignparm)
- Added an import onnx statement to init.py to fix MacOS bug 1003 (TomWildenhain-Microsoft)
- Make 'serve' tag default again. 1000 (jignparm)
- Fixed dropout rewriter to properly read ratio 995 (TomWildenhain-Microsoft)
- Added 'Toutput_types' to ignored_attr 989 (TomWildenhain-Microsoft)
- Added 'Toutput_types' to ignored_attr 988 (TomWildenhain-Microsoft)
- Add support for TF2.x saved_models from TFHub, as well as --tag & -concrete_function cmd line parameters 984 (jignparm)
- Enhance Transpose optimizer "Mul" handler 978 (jignparm)
- handle 2 switch output consumers 975 (guschmue)