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1.3.0-rc1

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@wenbingl wenbingl released this 29 Nov 01:11
v1.3.0-rc1
93b1789
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Learn about vigilant mode.
  1. Multiple opset support: Enables user to generate model based on a specified ONNX opset
  2. ONNX opset 8: Adds support for ONNX opset 8 in all converters
  3. ONNX model optimization: Reduces redundant operators like transpose and identity in the converted model
  4. Convert channel_last to channel_first: Enables converted model to run on WinML even if the original model is channel_last, since the WinML API only supports channel_first models
  5. onnxruntime as backend test: Uses onnxruntime as the backend to test the converted model; improves code quality and compatibility between converters and the inference engine
  6. Separate LightGBM from scikit-learn converter: Improves code organization
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