@Samuel-Lehman This is an issue with TensorFlow and your model. You could try enabling the v2 control flow ops as mentioned here (https://www.tensorflow.org/api_docs/python/tf/compat/v1/enable_control_flow_v2). Your model likely contains some older ops that are not compatible with Tflite (you mentioned having trained it a few years back). You could try the official solution given by tensorflow as linked or you could perhaps retrain your model with newer libraries.

Note that you do not necessarily need to train with TensorFlow; you can train using any other framework as well. Moreover, you are converting a frozen graph, and the official docs recommend converting from a saved model (https://ai.google.dev/edge/litert/models/convert_tf). Hope this resolves your issues!

@Samuel-Lehman This is an issue with TensorFlow and your model. You could try enabling the v2 control flow ops as mentioned here (https://www.tensorflow.org/api_docs/python/tf/compat/v1/enable_control_flow_v2). Your model likely contains some older ops that are not compatible with Tflite (you mentioned having trained it a few years back). You could try the official solution given by tensorflow as linked or you could perhaps retrain your model with newer libraries.

Note that you do not necessarily need to train with TensorFlow; you can train using any other framework as well. Moreover, you are converting a frozen graph, and the official docs recommend converting from a saved model (https://ai.google.dev/edge/litert/models/convert_tf). Hope this resolves your issues!