GitLab

Reviewed By: inseokhwang

Differential Revision: D54438157

fbshipit-source-id: a6acfe146ed29fff82123b5e458906d4b4cee6a2

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: Enable `pytorch3d_implicitron_runner` executable

Reviewed By: shapovalov

Differential Revision: D34754902

fbshipit-source-id: 213f3e9183e3f7dd7b4df16ad77d95fbc971d625

Summary: Update all FB license strings to the new format.

Reviewed By: patricklabatut

Differential Revision: D33403538

fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c

Summary: License lint codebase

Reviewed By: theschnitz

Differential Revision: D29001799

fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909

Summary:
Fixes mostly related to the "main" build on circleci.
-Avoid error to do with tuple copy from initializer_list which is `explicit` on old compiler.
-Add better reporting to copyright test.
-Move to PackedTensorAccessor64 from the deprecated PackedTensorAccessor
-Avoid some warnings about mismatched comparisons.

The "main" build is the only one that runs the test_build stuff. In that area
-Fix my bad copyright fix D26275931 (https://github.com/facebookresearch/pytorch3d/commit/3463f418b8a3e3c3e6b6a20007b38eb71938ec7f) / 965c9c
-Add test that all tutorials are valid json.

Reviewed By: nikhilaravi

Differential Revision: D26366466

fbshipit-source-id: c4ab8b7e6647987069f7cb7144aa6ab7c24bcdac

Summary: Fix missing copyright header in __init__.py file.

Reviewed By: davnov134

Differential Revision: D26275931

fbshipit-source-id: 965c9cf17383aa27d35d549754ebd99ae7c25f47

Summary: Implements the training script of NeRF.

Reviewed By: nikhilaravi

Differential Revision: D25684439

fbshipit-source-id: 8b19b6dc282eb6bf6e46ec4476bb0f13a84c90dd

Summary:
This diff integrates the pulsar renderer source code into PyTorch3D as an alternative backend for the PyTorch3D point renderer. This diff is the first of a series of three diffs to complete that migration and focuses on the packaging and integration of the source code.

For more information about the pulsar backend, see the release notes and the paper (https://arxiv.org/abs/2004.07484). For information on how to use the backend, see the point cloud rendering notebook and the examples in the folder `docs/examples`.

Tasks addressed in the following diffs:
* Add the PyTorch3D interface,
* Add notebook examples and documentation (or adapt the existing ones to feature both interfaces).

Reviewed By: nikhilaravi

Differential Revision: D23947736

fbshipit-source-id: a5e77b53e6750334db22aefa89b4c079cda1b443