1. 02 Aug, 2022 1 commit
    • Jeremy Reizenstein's avatar
      MeshRasterizerOpenGL import fixes · 3b7ab22d
      Jeremy Reizenstein authored
      Summary: Only import it if you ask for it.
      
      Reviewed By: kjchalup
      
      Differential Revision: D38327167
      
      fbshipit-source-id: 3f05231f26eda582a63afc71b669996342b0c6f9
      3b7ab22d
  2. 30 Jul, 2022 1 commit
    • Krzysztof Chalupka's avatar
      Replace pluggable components to create a proper Configurable hierarchy. · 1b0584f7
      Krzysztof Chalupka authored
      Summary:
      This large diff rewrites a significant portion of Implicitron's config hierarchy. The new hierarchy, and some of the default implementation classes, are as follows:
      ```
      Experiment
          data_source: ImplicitronDataSource
              dataset_map_provider
              data_loader_map_provider
          model_factory: ImplicitronModelFactory
              model: GenericModel
          optimizer_factory: ImplicitronOptimizerFactory
          training_loop: ImplicitronTrainingLoop
              evaluator: ImplicitronEvaluator
      ```
      
      1) Experiment (used to be ExperimentConfig) is now a top-level Configurable and contains as members mainly (mostly new) high-level factory Configurables.
      2) Experiment's job is to run factories, do some accelerate setup and then pass the results to the main training loop.
      3) ImplicitronOptimizerFactory and ImplicitronModelFactory are new high-level factories that create the optimizer, scheduler, model, and stats objects.
      4) TrainingLoop is a new configurable that runs the main training loop and the inner train-validate step.
      5) Evaluator is a new configurable that TrainingLoop uses to run validation/test steps.
      6) GenericModel is not the only model choice anymore. Instead, ImplicitronModelBase (by default instantiated with GenericModel) is a member of Experiment and can be easily replaced by a custom implementation by the user.
      
      All the new Configurables are children of ReplaceableBase, and can be easily replaced with custom implementations.
      
      In addition, I added support for the exponential LR schedule, updated the config files and the test, as well as added a config file that reproduces NERF results and a test to run the repro experiment.
      
      Reviewed By: bottler
      
      Differential Revision: D37723227
      
      fbshipit-source-id: b36bee880d6aa53efdd2abfaae4489d8ab1e8a27
      1b0584f7