GitLab

Summary: License lint codebase

Reviewed By: theschnitz

Differential Revision: D29001799

fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909

Summary: Conda build command can be very slow at resolving dependencies with PyTorch 1.8. I extended the timeout for this in the tests. Here do the same for the builds.

Reviewed By: patricklabatut

Differential Revision: D29131188

fbshipit-source-id: 554e694f0f8aa7509141016720b1e9019177b214

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:
Update `main` build to latest CircleCI image - Ubuntu 2020.04.

Avoid torch.logical_or and logical_and for PyTorch 1.4 compatibility.

Also speed up the test run with Pytorch 1.4.0 (which has no ninja) by not setting NVCC_FLAGS for it.

Reviewed By: theschnitz

Differential Revision: D27262327

fbshipit-source-id: ddc359d134b1dc755f8b20bd3f33bb080cb3a0e1

Summary: For Linux, instead of uploading wheels to PyPI which will only work with one particular version of PyTorch and CUDA, from the next release we will store a range of built wheels on S3.

Reviewed By: nikhilaravi

Differential Revision: D26209398

fbshipit-source-id: 945a6907b78807e1eedb25007f87f90bbf59f80e

Summary: Add ioPath as a dependency of PyTorch3D in preparation for using the new PathManager.

Reviewed By: nikhilaravi

Differential Revision: D25372971

fbshipit-source-id: d8aa661d2de975e747dd494edc42bf843990cf68

Summary: Add nightly linux conda builds with the new pytorch 1.7.1. This supports python 3.9.

Reviewed By: nikhilaravi

Differential Revision: D25532757

fbshipit-source-id: b734637063e148389951899450566275f3cf5831

Summary: The "manual" docker pull in the testrun builds has been taking more than 10 minutes recently, and its lack of output causes circleci to timeout. As a quick fix, we enable the output from this operation.

Reviewed By: gkioxari

Differential Revision: D25305127

fbshipit-source-id: 19682bfa0294145457a37df6d6faf7a08dcc63c9

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: To avoid docker's new ratelimiting, we sign in.

Reviewed By: theschnitz

Differential Revision: D24681688

fbshipit-source-id: 6bb1a86ee15a151758e8a2bdb081da280308ad0c

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: This addresses #375. Change circleci mac version to 9.4.1 just like torchvision did in https://github.com/pytorch/vision/issues/2629 .

Reviewed By: gkioxari

Differential Revision: D23866112

fbshipit-source-id: c5019618bcb7da8f950123fee201beaad55fecab

Summary:
Add a document to explain how to run the tutorials.
Fix API of TexturesVertex in fit_textured_mesh.
Prepare cuda 10.1 wheels (not 10.2) for linux to be available on pypi - this matches what colab has.
Change the tutorials to use these new wheels.

Reviewed By: gkioxari

Differential Revision: D23324479

fbshipit-source-id: 60e92a3f46a2d878f811b7703638f8d1dae143d9

Summary: Latest pytorch doesn't support cuda 10.0 and now its pytorch/conda-cuda docker image doesn't include it either. Here we remove the pytorch3d builds which use cuda 10.0.

Reviewed By: nikhilaravi

Differential Revision: D22999392

fbshipit-source-id: c834477fc7c812c2d0594dccd9e9471e33a4ec5e

Summary:
The main pytorch wheels on PyPI support CUDA 10.2. Here we make pytorch3d's wheels do the same, instead of being cpu only. This should ultimately make life easier in colab.

Also a little script to count builds, which can be useful for nightly jobs.

Reviewed By: gkioxari

Differential Revision: D22924321

fbshipit-source-id: d6cea9bfbab49bcb0080f65608066c553ea8bb4d

Summary: Make CI builds with pytorch 1.6.

Reviewed By: gkioxari

Differential Revision: D22790325

fbshipit-source-id: 5b0e075f952de9df2de03b65c16fd69140ab6fdd

Summary: Now pytorch 1.5.1 is released, pytorch 1.5 is ambiguous and causes problems. Now have specific builds for pytorch 1.5.0 and 1.5.1. Here we only change the conda builds.

Reviewed By: gkioxari

Differential Revision: D22196016

fbshipit-source-id: 478327e870f538f54d3480d5a268a1ece5c5c680

Summary: Bump the nvidia driver used in the conda tests. Add an environment variable (unused) to allow building without ninja. Print relative error on assertClose failure.

Reviewed By: nikhilaravi

Differential Revision: D21227373

fbshipit-source-id: 5dd8eb097151da27d3632daa755a1e7b9ac97845

Summary:
Add conda packages for pytorch 1.5. Make wheels be only pytorch 1.5.

Note that pytorch 1.4 has conda packages for cuda 9.2, 10.0 and 10.1, whilst pytorch 1.5 has packages for cuda 9.2, 10.1 and 10.2. We mirror these choices.

Reviewed By: nikhilaravi

Differential Revision: D21157392

fbshipit-source-id: 2f7311e6a83774a6d6c8afb8110b8bd9f37f1454

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

Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)

Reviewed By: nikhilaravi

Differential Revision: D20558373

fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8

Summary:
This isn't the whole task, but it gets the version number into far fewer places.

The doc / website are separate.

Reviewed By: nikhilaravi

Differential Revision: D20426113

fbshipit-source-id: 5810d1eca58b443fcd5f46991dc2f0f26adedbd8

Summary: The shebang line `#!<path to interpreter>` is only required for Python scripts, so remove it on source files for class or function definitions. Additionally explicitly mark as executable the actual Python scripts in the codebase.

Reviewed By: nikhilaravi

Differential Revision: D20095778

fbshipit-source-id: d312599fba485e978a243292f88a180d71e1b55a

Summary: Bumping the version number to 0.1.1 and thereby documenting all the places where the version number currently appears in the code.

Reviewed By: nikhilaravi

Differential Revision: D20067382

fbshipit-source-id: 76a25ed1d4036f51357e4ae3e0f07de32ad114ae

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

fbshipit-source-id: ad58e416e3ceeca85fae0583308968d04e78fe0d