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coremltools 5.0b3

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@TobyRoseman TobyRoseman released this 16 Aug 21:00
· 323 commits to main since this release
5.0b3
c6354af
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Learn about vigilant mode.
  • Native M1 support for Python 3.8 and Python 3.9
  • Adds the compute_units parameter to MLModel and coremltools.convert. Use this to specify where your models can run:
    • ALL - use all compute units available, including the neural engine.
    • CPU_ONLY - limit the model to only use the CPU.
    • CPU_AND_GPU - use both the CPU and GPU, but not the neural engine.
  • With the above change we are deprecating the useCPUOnly parameter for MLModel and coremltools.convert.
  • For ML programs the default compute precision has changed from Float 32 to Float 16. This can be overridden with the compute_precision parameter of coremltools.convert.
  • Support for TensorFlow 2.5
  • Removed scipy dependency
  • Various bug fixes and optimizations
Assets 15
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