d1e6e624ef891543c5bba32bb0a696d350714693,coremltools/models/utils.py,,_convert_nn_spec_to_half_precision,#Any#,172

Before Change

    for layer in layers:
        layer_type = layer.WhichOneof("layer")

        if layer_type in ignored_layers:
            continue

        // Convolution
        if layer_type == "convolution":
            _wp_to_fp16wp(layer.convolution.weights)
            if layer.convolution.hasBias:
                _wp_to_fp16wp(layer.convolution.bias)

After Change

                  "be converted manually".format(layer.name))
            continue

        if layer_type not in quantized_layers:
            params = getattr(layer, layer_type, None)
            params = params.ListFields() if params else []
            param_types = [p[0].message_type.name if p[0].message_type else None for p in params]

            if "WeightParams" in param_types:
                raise NotImplementedError("Quantization for layer "" + layer_type + "" not implemented.")
            continue  // print("Skipping layer {}. No need to quantize.".format(layer.name))

        // Convolution
        if layer_type == "convolution":
            _wp_to_fp16wp(layer.convolution.weights)
            if layer.convolution.hasBias:
                _wp_to_fp16wp(layer.convolution.bias)

Instances