automl / automl/ConfigurableOptimizer

Handle configuring nested configs in the Profiles

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Python
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Description

Currently, if we use `discrete_profile.configure_trainer(...)` to configure the `optim_config`, the entire dictionary is replaced with the new dictionary, instead of merging them.

This applies for supernet profiles, too.

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