KeyError: 'ConstantOfShape'

Hi, I am working on the conversion of onnx to keras, until I got this error message:

...
DEBUG:onnx2keras:Check input 0 (name 73).
DEBUG:onnx2keras:... found all, continue
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-9-c9733b56662e> in <module>()
      2 
      3 # Call the converter (input - is the main model input name, can be different for your model)
----> 4 k_model = onnx_to_keras(onnx_model, input_name_list)

/usr/local/lib/python3.6/dist-packages/onnx2keras/converter.py in onnx_to_keras(onnx_model, input_names, input_shapes, name_policy, verbose, change_ordering)
    170             logger.debug('... found all, continue')
    171 
--> 172         AVAILABLE_CONVERTERS[node_type](
    173             node,
    174             node_params,

KeyError: 'ConstantOfShape'

There is no any other indications, is there any ideas about how to solve this problem?

onnx version 1.6 onnx2keras version 0.0.18

[Vozf]

I fixed it with creating converter for constanOfShape ConstantOfShape creates a constant with value stored in node of shape passed as input so np.full is basically what it does ref https://github.com/onnx/onnx/blob/master/docs/Operators.md#Constant https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConstantOfShape

Got other errors too, so not sure if it is working properly

    from onnx2keras import onnx_to_keras
    from onnx2keras.layers import AVAILABLE_CONVERTERS
    import numpy as np

    def convert_constant_of_shape(node, params, layers, lambda_func, node_name, keras_name):
        """
        Convert Constant layer
        :param node: current operation node
        :param params: operation attributes
        :param layers: available keras layers
        :param lambda_func: function for keras Lambda layer
        :param node_name: internal converter name
        :param keras_name: resulting layer name
        :return: None
        """
        layers[node_name] = np.full(layers[node.input[0]], params["value"])

    AVAILABLE_CONVERTERS["ConstantOfShape"] = convert_constant_of_shape

    onnx_model = onnx.load_model(onnx_path)
    onnx.checker.check_model(onnx_model)

    k_model = onnx_to_keras(onnx_model, ["input_1"])

[Vozf]

You can also try exporting to onnx opset_version=9. In my case it avoided creation of constantOfShape