instance_normalization.py

# Instance Norm
inpt = keras.layers.Input(shape=(500, 500, 3))
out = keras_contrib.layers.InstanceNormalization(axis=-1)(inpt)
keras_model = keras.models.Model(inpt, out)

mlmodel = coremltools.converters.keras.convert(
  keras_model,
  add_custom_layers=True,
  custom_conversion_functions={}
)

mlmodel.get_spec()

"""
Output:
specificationVersion: 2
description {
  input {
    name: "input1"
    type {
      multiArrayType {
        shape: 3
        shape: 500
        shape: 500
        dataType: DOUBLE
      }
    }
  }
  output {
    name: "output1"
    type {
      multiArrayType {
        shape: 3
        shape: 500
        shape: 500
        dataType: DOUBLE
      }
    }
  }
}
neuralNetwork {
  layers {
    name: "instance_normalization_2"
    input: "input1"
    output: "output1"
    custom {
    }
  }
}
"""