LearningProcess Compatibility Error about federated

[JDRanpariya]

As found in one issue, svhn_iterative_process.initialize() doesn't have a .model attribute. So instead model weight was obtained using svhn_iterative_process.get_model_weights(state) but while using it in overallLosssvhn it's throwing an error saying LearningProcess can't be passed whereas we are providing model weights using .get_model_weights.

[zcharles8]

Can you post a full stack trace? Additionally, as @JDRanpariya mentions, you can't pass the state of the learning process into your federated evaluation, it just expects the model weights. The setup they describe, ie. something like

weights = svhn_iterative_process.get_model_weights(state)
svhn_evaluation(weights, federated_train_data_svhn)

makes sense, but if this is causing you errors please post the full logs.