- 03 Aug, 2022 2 commits
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Jeremy Reizenstein authored
Summary: continued - don't duplicate inputs Reviewed By: kjchalup Differential Revision: D38248829 fbshipit-source-id: 2d56418ecbec9cc597c3cf0c122199e274661516
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Jeremy Reizenstein authored
Summary: Don't copy from one part of config to another, rather do the copy within GenericModel. Reviewed By: davnov134 Differential Revision: D38248828 fbshipit-source-id: ff8af985c37ea1f7df9e0aa0a45a58df34c3f893
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- 02 Aug, 2022 4 commits
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David Novotny authored
Summary: Stats are logically connected to the training loop, not to the model. Hence, moving to the training loop. Also removing resume_epoch from OptimizerFactory in favor of a single place - ModelFactory. This removes the need for config consistency checks etc. Reviewed By: kjchalup Differential Revision: D38313475 fbshipit-source-id: a1d188a63e28459df381ff98ad8acdcdb14887b7
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Jeremy Reizenstein authored
Summary: Simple DataLoaderMapProvider instance Reviewed By: davnov134 Differential Revision: D38326719 fbshipit-source-id: 58556833e76fae5790d25a59bea0aac4ce046bf1
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Jeremy Reizenstein authored
Summary: Remove the dataset's need to provide the task type. Reviewed By: davnov134, kjchalup Differential Revision: D38314000 fbshipit-source-id: 3805d885b5d4528abdc78c0da03247edb9abf3f7
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Darijan Gudelj authored
Summary: Added _NEED_CONTROL to JsonIndexDatasetMapProviderV2 and made dataset_tweak_args use it. Reviewed By: bottler Differential Revision: D38313914 fbshipit-source-id: 529847571065dfba995b609a66737bd91e002cfe
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- 01 Aug, 2022 2 commits
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David Novotny authored
Summary: Currently, seeds are set only inside the train loop. But this does not ensure that the model weights are initialized the same way everywhere which makes all experiments irreproducible. This diff fixes it. Reviewed By: bottler Differential Revision: D38315840 fbshipit-source-id: 3d2ecebbc36072c2b68dd3cd8c5e30708e7dd808
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Jeremy Reizenstein authored
Summary: Make a dummy single-scene dataset using the code from generate_cow_renders (used in existing NeRF tutorials) Reviewed By: kjchalup Differential Revision: D38116910 fbshipit-source-id: 8db6df7098aa221c81d392e5cd21b0e67f65bd70
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- 30 Jul, 2022 1 commit
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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
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- 13 Jul, 2022 1 commit
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Roman Shapovalov authored
Summary: 1. Random sampling of num batches without replacement not supported. 2.Providers should implement the interface for the training loop to work. Reviewed By: bottler, davnov134 Differential Revision: D37815388 fbshipit-source-id: 8a2795b524e733f07346ffdb20a9c0eb1a2b8190
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- 06 Jul, 2022 2 commits
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Jeremy Reizenstein authored
Summary: As part of removing Task, move camera difficulty bin breaks from hard code to the top level. Reviewed By: davnov134 Differential Revision: D37491040 fbshipit-source-id: f2d6775ebc490f6f75020d13f37f6b588cc07a0b
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Jeremy Reizenstein authored
Summary: Add facilities for dataloading non-sequential scenes. Reviewed By: shapovalov Differential Revision: D37291277 fbshipit-source-id: 0a33e3727b44c4f0cba3a2abe9b12f40d2a20447
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- 04 Jul, 2022 1 commit
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David Novotny authored
Summary: Refactors autodecoders. Tests pass. Reviewed By: bottler Differential Revision: D37592429 fbshipit-source-id: 8f5c9eac254e1fdf0704d5ec5f69eb42f6225113
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- 30 Jun, 2022 1 commit
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Krzysztof Chalupka authored
Summary: Make ViewMetrics easy to replace by putting them into an OmegaConf dataclass. Also, re-word a few variable names and fix minor TODOs. Reviewed By: bottler Differential Revision: D37327157 fbshipit-source-id: 78d8e39bbb3548b952f10abbe05688409fb987cc
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- 24 Jun, 2022 1 commit
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Jeremy Reizenstein authored
Summary: small followup to D37172537 (https://github.com/facebookresearch/pytorch3d/commit/cba26506b6fe8a98695f50673cb20d9597d87551) and D37209012 (https://github.com/facebookresearch/pytorch3d/commit/81d63c63823e146e74d7be367d19314ab16d6815): changing default #harmonics and improving a test Reviewed By: shapovalov Differential Revision: D37412357 fbshipit-source-id: 1af1005a129425fd24fa6dd213d69c71632099a0
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- 20 Jun, 2022 2 commits
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Jeremy Reizenstein authored
Summary: Document the inputs of idr functions and distinguish n_harmonic_functions to be 0 (simple embedding) versus -1 (no embedding). Reviewed By: davnov134 Differential Revision: D37209012 fbshipit-source-id: 6e5c3eae54c4e5e8c3f76cad1caf162c6c222d52
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Jeremy Reizenstein authored
Summary: Allow specifying a color for non-opaque pixels in LSTMRenderer. Reviewed By: davnov134 Differential Revision: D37172537 fbshipit-source-id: 6039726678bb7947f7d8cd04035b5023b2d5398c
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- 16 Jun, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Copy code from NeRF for loading LLFF data and blender synthetic data, and create dataset objects for them Reviewed By: shapovalov Differential Revision: D35581039 fbshipit-source-id: af7a6f3e9a42499700693381b5b147c991f57e5d
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- 10 Jun, 2022 2 commits
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Jeremy Reizenstein authored
Summary: Make dataset type and args configurable on JsonIndexDatasetMapProvider. Reviewed By: davnov134 Differential Revision: D36666705 fbshipit-source-id: 4d0a3781d9a956504f51f1c7134c04edf1eb2846
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Jeremy Reizenstein authored
Summary: Allow access to manifold internally by default. Reviewed By: davnov134 Differential Revision: D36760481 fbshipit-source-id: 2a16bd40e81ef526085ac1b3f4606b63c1841428
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- 26 May, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Add simple interactive testrunner for experiment.py Reviewed By: shapovalov Differential Revision: D35316221 fbshipit-source-id: d424bcba632eef89eefb56e18e536edb58ec6f85
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