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Adding integration tests for the JAG MACC models #2004
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WAE. Moved the MACC model definitions to MACC network architecture definitions. Created a MACC trainable model function to allow the JAG application to have a single definition of the trainable WAE model that is suitable for both application and testing use cases.
model definition into a separate file for testing. Renamed the MACC models file.
named data fields.
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* Added an integration test for the JAG MACC WAE model to pre-train the WAE. Moved the MACC model definitions to MACC network architecture definitions. Created a MACC trainable model function to allow the JAG application to have a single definition of the trainable WAE model that is suitable for both application and testing use cases. * Updated the train_macc_surrogate application to have an integrated test. * Added an integration test for the older JAG model. Refactored the model definition into a separate file for testing. Renamed the MACC models file. * Renamed jag_trainable_models to jag_models. * Removed override of the get_linearized_size in the JAG data reader for named data fields. * Tweaked reconstruction ranges for lassen * Corrected the output cycle loss target values * Fixed expected run times on pascal * Fixing up baseline bamboo tests
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Added an integration test for the JAG MACC WAE model to pre-train the
WAE. Moved the MACC model definitions to MACC network architecture
definitions. Created a MACC trainable model function to allow the JAG
application to have a single definition of the trainable WAE model
that is suitable for both application and testing use cases.