- 11 Nov, 2021 1 commit
-
-
Jeremy Reizenstein authored
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
-
- 14 Jun, 2021 1 commit
-
-
Jeremy Reizenstein authored
Summary: Nightly builds to support PyTorch 1.8.0 and PyTorch 1.8.1. Reviewed By: patricklabatut Differential Revision: D29098081 fbshipit-source-id: fc6b36e919892ea41979a03e64a6fc8003528b78
-
- 10 Nov, 2020 1 commit
-
-
Jeremy Reizenstein authored
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
-
- 29 Oct, 2020 1 commit
-
-
Jeremy Reizenstein authored
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
-
- 22 Apr, 2020 1 commit
-
-
Jeremy Reizenstein authored
Summary: cuda 10.2 location on linux. Also remove unused conda test dependencies. Reviewed By: nikhilaravi Differential Revision: D21176409 fbshipit-source-id: dd3f339a92233ff16877ba76506ddf8f4418715d
-
- 07 Apr, 2020 1 commit
-
-
Jeremy Reizenstein authored
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
-
- 24 Feb, 2020 2 commits
-
-
Jeremy Reizenstein authored
Reviewed By: nikhilaravi Differential Revision: D20073426 fbshipit-source-id: fce83c9b63d630de1e6ebe2ff4790f29d11b65cc
-
Jeremy Reizenstein authored
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
-
- 19 Feb, 2020 1 commit
-
-
Jeremy Reizenstein authored
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
-
- 23 Jan, 2020 1 commit
-
-
facebook-github-bot authored
fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d
-