qonnx version 0.3.0

Highlights:

• Initial support for converting between Q(C)DQ and Quant styles of quantization (#48 , #56 , #65 )
• Improvements to qonnx-exec for faster QONNX model execution and accuracy validation (#64 )
• Improvements to constant folding and subgraph execution (#47 )
• Improvements to inference cost measurement (#53 , #55 )

Full list of merged PRs:
https://github.com/fastmachinelearning/qonnx/milestone/3?closed=1

qonnx version 0.2.0

What's new in this release

• Support exporting QONNX from QKeras (#28 )
• Support exporting QONNX from HAWQ (#41)
• Tensor attributes in custom op wrappers (#24)
• Use knowledge of weight matrices to further optimize accumulator range calculation (#29)
• Support spatial -> channel rebalancing for certain convolutional kernels (#22)
• Numerous bugfixes and other improvements - see full list of merged PRs for this release