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coremltools 7.0b1

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@TobyRoseman TobyRoseman released this 05 Jun 22:41
· 109 commits to main since this release
7.0b1
b5ba7e1
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Learn about vigilant mode.
  • New submodule coremltools.optimize for model quantization and compression
    • coremltools.optimize.coreml for compressing coreml models, in a data free manner. coremltools.compresstion_utils.* APIs have been moved here
    • coremltools.optimize.torch for compressing torch model with training data and fine-tuning. The fine tuned torch model can then be converted using coremltools.convert
  • Updated MIL ops for iOS17/macOS14/watchOS10/tvOS17
  • pass_pipeline parameter has been added to coremltools.convert to allow controls over which optimizations are performed.
  • Python 3.11 support.
  • MLModel batch prediction support.
  • Support for converting statically quantized PyTorch models
  • New Torch layer support: randn, randn_like, scaled_dot_product_attention, stft, tile
  • Faster weight palletization for large tensors.
  • coremltools.models.ml_program.compression_utils is deprecated.
  • Various other bug fixes, enhancements, clean ups and optimizations.

Core ML tools 7.0 guide: https://coremltools.readme.io/v7.0/

Special thanks to our external contributors for this release: @fukatani, @pcuenca, @mlaves, @cclauss, @smpanaro, @nikalra, @jszaday

Contributors

pcuenca, nikalra, and 5 other contributors
Assets 17