GitLab

Summary:
## Changes:
- Added Accelerate Library and refactored experiment.py to use it
- Needed to move `init_optimizer` and `ExperimentConfig` to a separate file to be compatible with submitit/hydra
- Needed to make some modifications to data loaders etc to work well with the accelerate ddp wrappers
- Loading/saving checkpoints incorporates an unwrapping step so remove the ddp wrapped model

## Tests

Tested with both `torchrun` and `submitit/hydra` on two gpus locally. Here are the commands:

**Torchrun**

Modules loaded:
```sh
1) anaconda3/2021.05   2) cuda/11.3   3) NCCL/2.9.8-3-cuda.11.3   4) gcc/5.2.0. (but unload gcc when using submit)
```

```sh
torchrun --nnodes=1 --nproc_per_node=2 experiment.py --config-path ./configs --config-name repro_singleseq_nerf_test
```

**Submitit/Hydra Local test**

```sh
~/pytorch3d/projects/implicitron_trainer$ HYDRA_FULL_ERROR=1 python3.9 experiment.py --config-name repro_singleseq_nerf_test --multirun --config-path ./configs  hydra/launcher=submitit_local hydra.launcher.gpus_per_node=2 hydra.launcher.tasks_per_node=2 hydra.launcher.nodes=1
```

**Submitit/Hydra distributed test**

```sh
~/implicitron/pytorch3d$ python3.9 experiment.py --config-name repro_singleseq_nerf_test --multirun --config-path ./configs  hydra/launcher=submitit_slurm hydra.launcher.gpus_per_node=8 hydra.launcher.tasks_per_node=8 hydra.launcher.nodes=1 hydra.launcher.partition=learnlab hydra.launcher.timeout_min=4320
```

## TODOS:
- Fix distributed evaluation: currently this doesn't work as the input format to the evaluation function is not suitable for gathering across gpus (needs to be nested list/tuple/dicts of objects that satisfy `is_torch_tensor`) and currently `frame_data`  contains `Cameras` type.
- Refactor the `accelerator` object to be accessible by all functions instead of needing to pass it around everywhere? Maybe have a `Trainer` class and add it as a method?
- Update readme with installation instructions for accelerate and also commands for running jobs with torchrun and submitit/hydra

X-link: https://github.com/fairinternal/pytorch3d/pull/37

Reviewed By: davnov134, kjchalup

Differential Revision: D37543870

Pulled By: bottler

fbshipit-source-id: be9eb4e91244d4fe3740d87dafec622ae1e0cf76

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

Summary: Enable pyre checking of the trainer code.

Reviewed By: shapovalov

Differential Revision: D36545438

fbshipit-source-id: db1ea8d1ade2da79a2956964eb0c7ba302fa40d1

Summary: As part of removing Task, make the dataset code generate the source cameras for itself. There's a small optimization available here, in that the JsonIndexDataset could avoid loading images.

Reviewed By: shapovalov

Differential Revision: D37313423

fbshipit-source-id: 3e5e0b2aabbf9cc51f10547a3523e98c72ad8755

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

Summary: Add test that the yaml files deserialize.

Reviewed By: davnov134

Differential Revision: D36830673

fbshipit-source-id: b785d8db97b676686036760bfa2dd3fa638bda57

Summary: Preparing for pluggables in experiment.py

Reviewed By: davnov134

Differential Revision: D36830674

fbshipit-source-id: eab499d1bc19c690798fbf7da547544df7e88fa5

Summary: Add simple interactive testrunner for experiment.py

Reviewed By: shapovalov

Differential Revision: D35316221

fbshipit-source-id: d424bcba632eef89eefb56e18e536edb58ec6f85

Summary: The ImplicitronDataset class corresponds to JsonIndexDatasetMapProvider

Reviewed By: shapovalov

Differential Revision: D36661396

fbshipit-source-id: 80ca2ff81ef9ecc2e3d1f4e1cd14b6f66a7ec34d

Summary: replace dataloader_zoo with a pluggable DataLoaderMapProvider.

Reviewed By: shapovalov

Differential Revision: D36475441

fbshipit-source-id: d16abb190d876940434329928f2e3f2794a25416

Summary: replace dataset_zoo with a pluggable DatasetMapProvider. The logic is now in annotated_file_dataset_map_provider.

Reviewed By: shapovalov

Differential Revision: D36443965

fbshipit-source-id: 9087649802810055e150b2fbfcc3c197a761f28a

Summary: Separate ImplicitronDatasetBase and FrameData (to be used by all data sources) from ImplicitronDataset (which is specific).

Reviewed By: shapovalov

Differential Revision: D36413111

fbshipit-source-id: 3725744cde2e08baa11aff4048237ba10c7efbc6

Summary:
Move dataset_args and dataloader_args from ExperimentConfig into a new member called datasource so that it can contain replaceables.

Also add enum Task for task type.

Reviewed By: shapovalov

Differential Revision: D36201719

fbshipit-source-id: 47d6967bfea3b7b146b6bbd1572e0457c9365871

Summary: Stronger typing for these functions

Reviewed By: shapovalov

Differential Revision: D36170489

fbshipit-source-id: a2104b29dbbbcfcf91ae1d076cd6b0e3d2030c0b

Summary:
To avoid model_zoo, we need to make GenericModel pluggable.
I also align creation APIs for convenience.

Reviewed By: bottler, davnov134

Differential Revision: D35933093

fbshipit-source-id: 8228926528eb41a795fbfbe32304b8019197e2b1

Summary:
Try again to solve https://github.com/facebookresearch/pytorch3d/issues/1144 pickling problem.
D35258561 (https://github.com/facebookresearch/pytorch3d/commit/24260130ce382640a89e978cd671298488ec6451) didn't work.

When writing a function or vanilla class C which you want people to be able to call get_default_args on, you must add the line enable_get_default_args(C) to it. This causes autogeneration of a hidden dataclass in the module.

Reviewed By: davnov134

Differential Revision: D35364410

fbshipit-source-id: 53f6e6fff43e7142ae18ca3b06de7d0c849ef965

Summary:
ListConfig and DictConfig members of get_default_args(X) when X is a callable will contain references to a temporary dataclass and therefore be unpicklable. Avoid this in a few cases.

Fixes https://github.com/facebookresearch/pytorch3d/issues/1144

Reviewed By: shapovalov

Differential Revision: D35258561

fbshipit-source-id: e52186825f52accee9a899e466967a4ff71b3d25

Summary:
Before the fix, running get_default_args(C: Callable) returns an unstructured DictConfig which causes Enums to be handled incorrectly. This is a fix.

WIP update: Currently tests still fail whenever a function signature contains an untyped argument: This needs to be somehow fixed.

Reviewed By: bottler

Differential Revision: D34932124

fbshipit-source-id: ecdc45c738633cfea5caa7480ba4f790ece931e8

Co-authored-by: Jeremy Francis Reizenstein <bottler@users.noreply.github.com>