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Neta Zmora authored
This is inspired by @barrh’s PR https://github.com/NervanaSystems/distiller/pull/246 but it at a “slower-integration-pace” and w/o changing APIs. 1. create_model() attaches model attributes (arch, dataset, is_parallel) to created models. 2. save_checkpoint() stores the new model attributes with checkpoint metadata 3. load_checkpoint() can be invoked with model=None, in which case we attempt to create the model from the stored checkpoint metadata.
Neta Zmora authoredThis is inspired by @barrh’s PR https://github.com/NervanaSystems/distiller/pull/246 but it at a “slower-integration-pace” and w/o changing APIs. 1. create_model() attaches model attributes (arch, dataset, is_parallel) to created models. 2. save_checkpoint() stores the new model attributes with checkpoint metadata 3. load_checkpoint() can be invoked with model=None, in which case we attempt to create the model from the stored checkpoint metadata.
