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Query
This is the iterative procedure I am following, for overall evaluation I am facing an error of LearningProcess is not compatible for the overallLosssvhn, Is there any way to solve it or convert it into a model ? [.model is not compatible]
The text was updated successfully, but these errors were encountered:
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.
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
Code Snip
Query
This is the iterative procedure I am following, for overall evaluation I am facing an error of LearningProcess is not compatible for the overallLosssvhn, Is there any way to solve it or convert it into a model ? [.model is not compatible]
The text was updated successfully, but these errors were encountered: