need to GNN model based on keras to ONNX which can be converted into pytorch

[Alicodee]

I need to use GNNExplainer which requires pytorch model.
However, my GNN model is written in keras libraries.
I tried to use this library to load my onnx model and convert into pytorch. Can Anyone help me to resolve this errors?
Here are the errors i got from it.

import tf2onnx

from keras2onnx import convert_keras

Load the Keras model

keras_model = model

Convert the Keras model to ONNX format

onnx_model, _ = tf2onnx.convert.from_keras(model)

Save the ONNX model to a file

with open('./my_onnx_model.onnx', 'wb') as f:
f.write(onnx_model.SerializeToString())

import onnx

onnx_model = onnx.load('./my_onnx_model.onnx')

import onnx
from onnx2torch import convert

torch_model_1 = convert(onnx_model)

---

NotImplementedError Traceback (most recent call last)
in
2 from onnx2torch import convert
3
----> 4 torch_model_1 = convert(onnx_model)
5
6 # from onnx2pytorch import ConvertModel

/working/Ali_code/custom_model_env/GNN/lib/python3.6/site-packages/onnx2torch/converter.py in convert(onnx_model_or_path, save_input_names, attach_onnx_mapping)
105 domain=onnx_node.domain,
106 operation_type=onnx_node.operation_type,
--> 107 version=version,
108 )
109

/working/Ali_code/custom_model_env/GNN/lib/python3.6/site-packages/onnx2torch/node_converters/registry.py in get_converter(operation_type, version, domain)
67 converter = _CONVERTER_REGISTRY.get(description, None)
68 if converter is None:
---> 69 raise NotImplementedError(f'Converter is not implemented ({description})')
70
71 return converter

NotImplementedError: Converter is not implemented (OperationDescription(domain='', operation_type='Loop', version=13))

[senysenyseny16]

hi @Alicodee.

To make your network work, we need to implement Loop ONNX operation.
I created feature request: #150.