- `Mul`, `Div`, `Add`, `Sub`, `Mod`, `Less`, `LessOrEqual`, `Greater`, `GreaterOrEqual`, `Equal` ,`And`, `Or`, `Xor`
- Quite a fatal bug.
- Fixed a problem in which tensors were automatically transposed when the input tensor consisted of multiple values in one dimension.
- This is the cause of the precision degradation that has been occurring in the four arithmetic operations up to now.
- Improvement in overall model conversion speed due to elimination of accuracy degradation.
- `Softmax`, `Conv`, `GroupNorm`, `Reshape`, `ConvInteger`, `InstanceNormalization`
- Bug fixes for R-CNN only.
What's Changed
* Fixed a problem in which tensors were automatically transposed when the input tensor consisted of multiple values in one dimension by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/492
**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.17...1.16.18