GitLab

Summary: change deps

Reviewed By: kjchalup

Differential Revision: D37612290

fbshipit-source-id: 51af55159605b0edd89ffa9e177238466fc2d993

Summary: Add builds for PyTorch 1.11.0.

Reviewed By: nikhilaravi

Differential Revision: D34861021

fbshipit-source-id: 1a1c46fac48719bc66c81872e65531a48ff538ed

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

Reviewed By: patricklabatut

Differential Revision: D33403538

fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c

Summary:
Add builds corresponding to the new pytorch 1.10.0. We omit CUDA 11.3 testing because it fails with current hardware, and omit the main build too for the moment.

Also move to the newer GPU circle CI executors.

Reviewed By: gkioxari

Differential Revision: D32335934

fbshipit-source-id: 416d92a8eecd06ef7fc742664a5f2d46f93415f8

Summary: Nightly builds to support PyTorch 1.8.0 and PyTorch 1.8.1.

Reviewed By: patricklabatut

Differential Revision: D29098081

fbshipit-source-id: fc6b36e919892ea41979a03e64a6fc8003528b78

Summary:
Changes to CI and some minor fixes now that pulsar is part of pytorch3d. Most significantly, add CUB to CI builds.

Make CUB_HOME override the CUB already in cudatoolkit (important for cuda11.0 which uses cub 1.9.9 which pulsar doesn't work well with.
Make imageio available for testing.
Lint fixes.
Fix some test verbosity.
Avoid use of atomicAdd_block on older GPUs.

Reviewed By: nikhilaravi, classner

Differential Revision: D24773716

fbshipit-source-id: 2428356bb2e62735f2bc0c15cbe4cff35b1b24b8

Summary: CircleCI build configuration to support pytorch1.7, including binaries with cuda 11.0. Note that the default torch on pip is still on cuda 10.2, so I have left the `main` (non conda build) on cuda 10.2 with the existing driver.

Reviewed By: gkioxari

Differential Revision: D24623523

fbshipit-source-id: 59cfa1be06c16225f0f12ed336c07220e8a9a511

Summary: cuda 10.2 location on linux. Also remove unused conda test dependencies.

Reviewed By: nikhilaravi

Differential Revision: D21176409

fbshipit-source-id: dd3f339a92233ff16877ba76506ddf8f4418715d

Summary:
Pytorch 1.5 is coming soon. I imagine we will want the ability to upload conda packages for pytorch3d to anaconda cloud for each of pytorch 1.4 and pytorch 1.5. This change adds the dependent pytorch version to the name of the conda package to make that feasible.

As an example, a built package after this change will have a name like `linux-64/pytorch3d-0.1.1-py38_cu100_pyt14.tar.bz2`, instead of simply `linux-64/pytorch3d-0.1.1-py38_cu100.tar.bz2`.

Also some tiny cleanup of circleci config.

Other alternatives: (1) forcing users to update pytorch and pytorch3d together, (2) trying to get away with one build for multiple pytorch versions.

Reviewed By: nikhilaravi

Differential Revision: D20599039

fbshipit-source-id: 20164eda4a5141afed47b3596e559950d796ffc9

Reviewed By: nikhilaravi

Differential Revision: D20073426

fbshipit-source-id: fce83c9b63d630de1e6ebe2ff4790f29d11b65cc

Summary: Document existence of nightly build. Fix some mistakes in windows-related CI code (not running yet).

Reviewed By: nikhilaravi

Differential Revision: D20030293

fbshipit-source-id: 2199ea7c6d34e881aa5641726feb6bfc20337ce3

Summary:
pybind now seems to need C++17 on a mac, so advise people to use it. (Also delete an unused variable to silence a warning I got on a mac build.)

Reported in github issue #68.

Reviewed By: nikhilaravi

Differential Revision: D19970512

fbshipit-source-id: f9be20c8ed425bd6ba8d009a7d62dad658dccdb1

fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d