Onnx2pytorch

- Added new operators
- Hardsigmoid https://github.com/Talmaj/onnx2pytorch/issues/65
- Hardswish https://github.com/Talmaj/onnx2pytorch/issues/60

- Updated the library to work with latest onnx and pytorch versions
- Added new operators
- Hardsigmoid https://github.com/Talmaj/onnx2pytorch/issues/65
- Hardswish https://github.com/Talmaj/onnx2pytorch/issues/60
- GreaterOrEqual https://github.com/Talmaj/onnx2pytorch/issues/56
- ReduceL2 https://github.com/Talmaj/onnx2pytorch/issues/54
- ReduceMax https://github.com/Talmaj/onnx2pytorch/issues/34 https://github.com/Talmaj/onnx2pytorch/issues/33
- Switch to GitHub actions for CI

Special thanks to the contributors!
- https://github.com/zhumakhan
- https://github.com/calvinmccarter-at-lightmatter
- https://github.com/quaternio

- Fix compatibility with `torch=1.10.0`
- Fix Clip operator when min and max are None
- Fix `from onnx2pytorch import __version__`

- Improve memory management by removing activations that are no longer required by any following operations
- New supported operators
- Tile
- Loop
- Bitshift
- Div
- Constant
- GatherND
- GlobalAveragePool
- LSTM
- Matmul
- NonMaxSuppression
- Prelu
- ReduceSum
- Scatter
- ScatterElements
- ScatterND
- ThresholdedReLu
- TopK
- Transpose
- Where

Main contributor for this release was calvinmccarter-at-lightmatter

- MLPerf v0.7 model support
- New operators support
- Elu
- And
- Or
- Not
- Range
- Expand
- Unsqueeze - version 13
- Squeeze - version 13

Special thanks to our first contributor calvinmccarter-at-lightmatter for adding his part to this release.