error in converting onnx models to tensorflow

I tried onnx-tf on the models in the models folder but got the error BackendIsNotSupposedToImplementIt: FusedConv is not implemented. Any ideas how this can be fixed? Thanks.

[jeffxtang]

Btw, using the model file in the zip of #48, this converts from ONNX to TF: onnx-tf convert -i lm_model1.onnx -o lm_model1.pb

This converts from TF to tflite:

import tensorflow as tf
converter = tf.compat.v1.lite.TFLiteConverter.from_saved_model('lm_model1.pb')

converter.experimental_new_converter = True
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS,
                                       tf.lite.OpsSet.SELECT_TF_OPS]

tf_lite_model = converter.convert()
open('lm_model1.tflite', 'wb').write(tf_lite_model)

[emilianavt]

I believe the names are “input” and “output”, but if you load the model with onnxruntime, you should also be able to query them.