ONNX-Chainer is merged into Chainer mainstream from v7.0.0rc1. New features and improvements will be imported to Chainer repository. This ONNX-Chainer repository is not closed but supports only bug fixes.
Overview
- Support ONNX 1.6 (chainer/chainer#8339)
- Support opset11 (chainer/chainer#8341)
- Add documentation (#215)
- Published to readthedocs
- Reorganize examples (#241)
- Add YOLOv2Tiny and Resnet50
- Test with only Chainer v6 (#247)
New feature
- Add new converter
Improvement
- Add Windows CI job (#220)
- Add opset option on pytest (#229)
- Do no emit redundant axes for slice with
:(#232) - Support list index on get_item (#233)
- Support iterator indices on SplitAxis (#235)
- Set supported max opset version (#237)
- Allow missing gradient values with warnings (#243)
- Introduce doctests (#245)
- Show import error with guide message on ONNX (chainer/chainer#8293)
- Partially
output_gradsupport onfake_as_funcnode(chainer/chainer#8298) - Support multiple advanced indexing on ONNX export (chainer/chainer#8345)
- Revert output value check on SoftmaxCrossEntropy (chainer/chainer#8347)
Bug Fix
- Fix to ignore not variable inputs (#221)
- Move implicit input manager to Context (#226)
- Reset inputs after exported for out_grad (#238)
- Fix warning on testing (#240)
- Follow UserWarning handling on testing (#242)
- Use original inputs of FixedBN the inputs are explicit (#244)
- Fix dimc learning on output (chainer/chainer#8270)
- Fix onnx_chainer's exporter of Separate to handle single output case (chainer/chainer#8332)