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1.0b3 Beta

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@bhushan23 bhushan23 released this 17 Sep 20:44
· 48 commits to master since this release
1.0b3
f0a9327
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Learn about vigilant mode.
  • Added the argument target_ios to choose the Core ML spec version that is produced by the converter. target_ios = '13' will enable the converter to use all the new layers added in Core ML 3.
  • (diff with 1.0b2) use rank inference implemented in neural network builder API of coremltools 3.0b6. This helps in converting more models, which previously produced errors.
  • (diff with 1.0b2) added support for ops GRU, ROIAlign, TopK.

Known Issues

  • Model with Upsample may require using custom_conversion_function, through which value of the scale parameter can be provided.
    This is due to the fact that CoreML upsample layer supports only statically known scale factors, and in certain cases the ONNX graph has dynamic scale inputs, even though the source program (e.g. pytorch code) uses static scales.
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