coremltools-0.7.0

Neural Networks

• Half precision weights
  • New to .mlmodel specification version 2
  • Supported by macOS 10.13.2, iOS 11.2, watchOS 4.2, tvOS 11.2
  • WeightParams can now be specified in half precision (float16)
  • New float16 conversion utility function can convert existing models with neural networks to half precision by calling coremltools.utils.convert_neural_network_spec_weights_to_fp16
  • Can also pass in a flag in keras or caffe converter functions during model conversion time to convert models to half precision
  • See: https://developer.apple.com/documentation/coreml/reducing_the_size_of_your_core_ml_app
• Custom Layers
  • New to .mlmodel specification version 2
  • Supported by macOS 10.13.2, iOS 11.2, watchOS 4.2, tvOS 11.2
  • Added CustomLayerParams message to possible layers
  • NeuralNetworkBuilder has new add_custom method
  • Keras converter has options for using custom layers. See add_custom_layers and custom_conversion_functions arguments
  • See: https://developer.apple.com/documentation/coreml/core_ml_api/creating_a_custom_layer

Visualization

• Visualize model specification with: coremltools.utils.visualize_spec

Python 3

• Conversion for most model types work in Python 3.
• No predictions: #37
• Converting Caffe models does not work: #79
• To use in Python 3, you must build from source.

Misc

• Support grayscale image outputs in python predictions
• Bug fixes