AttributeError: 'module' 对象在将 Keras 转换为 Core ML 模型时没有属性 'SeparableConv1D'

我正在学习使用 Keras 和 CoreML 进行机器学习的教程，当我开始运行以下代码并将 Keras 模型转换为 CoreML 时。我得到：

AttributeError: 'module' 对象没有属性 'SeparableConv1D'

我应该在哪里更改以解决此问题？

这是我运行的代码：

output_labels = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']

coreml_mnist = coremltools.converters.keras.convert(
    'best_model.09-0.03.h5', input_names=['image'], output_names=['output'], 
    class_labels=output_labels, image_input_names='image')

这是我得到的详细信息：

AttributeError                            Traceback (most recent call last)
<ipython-input-73-8fa50f6bbeb9> in <module>()
     10 coreml_mnist = coremltools.converters.keras.convert(
     11     'best_model.08-0.03.h5', input_names=['image'], output_names=['output'],
---> 12     class_labels=output_labels, image_input_names='image')

/usr/local/lib/python2.7/dist-packages/coremltools/converters/keras/_keras_converter.pyc in convert(model, input_names, output_names, image_input_names, input_name_shape_dict, is_bgr, red_bias, green_bias, blue_bias, gray_bias, image_scale, class_labels, predicted_feature_name, model_precision, predicted_probabilities_output, add_custom_layers, custom_conversion_functions)
    758                       predicted_probabilities_output,
    759                       add_custom_layers,
--> 760                       custom_conversion_functions=custom_conversion_functions)
    761 
    762     return _MLModel(spec)

/usr/local/lib/python2.7/dist-packages/coremltools/converters/keras/_keras_converter.pyc in convertToSpec(model, input_names, output_names, image_input_names, input_name_shape_dict, is_bgr, red_bias, green_bias, blue_bias, gray_bias, image_scale, class_labels, predicted_feature_name, model_precision, predicted_probabilities_output, add_custom_layers, custom_conversion_functions, custom_objects)
    554                                            add_custom_layers=add_custom_layers,
    555                                            custom_conversion_functions=custom_conversion_functions,
--> 556                                            custom_objects=custom_objects)
    557     else:
    558         raise RuntimeError(

/usr/local/lib/python2.7/dist-packages/coremltools/converters/keras/_keras2_converter.pyc in _convert(model, input_names, output_names, image_input_names, input_name_shape_dict, is_bgr, red_bias, green_bias, blue_bias, gray_bias, image_scale, class_labels, predicted_feature_name, predicted_probabilities_output, add_custom_layers, custom_conversion_functions, custom_objects)
    207     # Build network graph to represent Keras model
    208     graph = _topology2.NetGraph(model)
--> 209     graph.build()
    210 
    211     # The graph should be finalized before executing this

/usr/local/lib/python2.7/dist-packages/coremltools/converters/keras/_topology2.pyc in build(self, is_top_level)
    748             self.insert_1d_permute_layers()
    749             self.insert_permute_for_spatial_bn()
--> 750             self.defuse_activation()
    751             self.remove_internal_input_layers()
    752 

/usr/local/lib/python2.7/dist-packages/coremltools/converters/keras/_topology2.pyc in defuse_activation(self)
    508                 isinstance(k_layer, _keras.layers.Conv1D) or
    509                 isinstance(k_layer, _keras.layers.SeparableConv2D) or
--> 510                 isinstance(k_layer, _keras.layers.SeparableConv1D) or
    511                 isinstance(k_layer, _keras.layers.Dense)):
    512 

AttributeError: 'module' object has no attribute 'SeparableConv1D'