GitLab

Summary:
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1676

Remove CUDA 10.2 build, remove sm35 from cuda12.

Reviewed By: MichaelRamamonjisoa

Differential Revision: D50790929

fbshipit-source-id: 2b8cd34493b633a97b4066e0fd61aff077f7ce0c

Summary: Build updates for PyTorch 2.1

Reviewed By: MichaelRamamonjisoa

Differential Revision: D50345762

fbshipit-source-id: 89bf4edf1c21566aa86a3abca9b4df7c4d1d17a2

Summary:
Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1394

The bash logic for building conda packages became fiddly to edit. We need to switch cuda-toolkit to pytorch-cuda when PyTorch>=1.12 which was going to be a pain, so here I rewrite the code in python and do it.

Reviewed By: shapovalov

Differential Revision: D42036406

fbshipit-source-id: 8bb80c2f7545477182b23fc97c8514dcafcee176

Summary: Python 3.7 not needed any more

Reviewed By: shapovalov

Differential Revision: D41841033

fbshipit-source-id: c0cfd048c70e6b9e47224ab8cddcd6b5f4fc5597

Summary: All mac builds now pytorch 1.13

Reviewed By: shapovalov

Differential Revision: D41841035

fbshipit-source-id: b932eb2fefed77ae22f9757f9bd628ce12b11fad

Summary:
Misc fixes.

- most important: the mac image is gone so switch to a newer one.
- torch.concat is new; was used accidentally
- remove lpips from testing in meta.yaml as it is breaking the conda test. Better to leave the relevant tests failing in OSS.
- TypedDict usage is breaking implicitron on Python 3.7.

Reviewed By: patricklabatut

Differential Revision: D38458164

fbshipit-source-id: b16c26453a743b9a771e2a6787b9a4d2a52e41c2

Summary: change deps

Reviewed By: kjchalup

Differential Revision: D37612290

fbshipit-source-id: 51af55159605b0edd89ffa9e177238466fc2d993

Summary: New paths.

Reviewed By: patricklabatut

Differential Revision: D36734929

fbshipit-source-id: c0ce7ee9145ddca07ef3758d31cc3c261b088e7d

Summary:
Run the circleci tests with a non depracated circleci image. Small fix for PyTorch 1.7.
We no longer need to manually install nvidia-docker or the CUDA driver.

Reviewed By: patricklabatut

Differential Revision: D34426816

fbshipit-source-id: d6c67bfb0ff86dff8d8f7fe7b8801657c2e80030

Summary: Python 3.6 was EOL on 2021-12-23.

Reviewed By: patricklabatut

Differential Revision: D33428708

fbshipit-source-id: 37a73898df49a4a49266839278fc8be56597405d

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: PyTorch 1.6.0 came out on 28 Jul 2020. Stop builds for 1.5.0 and 1.5.1. Also update the news section of the README for recent releases.

Reviewed By: nikhilaravi

Differential Revision: D31442830

fbshipit-source-id: 20bdd8a07090776d0461240e71c6536d874615f6

Summary: We won't support PyTorch 1.4 in the next release. PyTorch 1.5.0 came out in June 2020, more than a year ago.

Reviewed By: patricklabatut

Differential Revision: D30424388

fbshipit-source-id: 25499096066c9a2b909a0550394f5210409f0d74

Summary: Avoid using old xcode which CircleCI say is deprecated.

Reviewed By: patricklabatut

Differential Revision: D29538176

fbshipit-source-id: 1e2ae4845d42365c778536446958966bbecf188c

Summary:
Build for pytorch 1.9, and make it the only mac build. Not testing on cuda 11.1, because of annoying failures which are restricted to certain hardware.

Also update cuda driver in CI tests.

Reviewed By: patricklabatut

Differential Revision: D29302314

fbshipit-source-id: 78def378adb9d7aa287abdc5ac0af269e3ba3625

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: 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:
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: 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