Summary: Drop support for PyTorch 1.9.0 and 1.9.1.
Reviewed By: shapovalov
Differential Revision: D45704329
fbshipit-source-id: c0fe3ecf6a1eb9bcd4163785c0cb4bf4f5060f50
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: Builds for new PyTorch 1.12.1. Drop builds for PyTorch 1.8.0 and 1.8.1.
Reviewed By: kjchalup
Differential Revision: D38658991
fbshipit-source-id: 6192e226c2154cd051eeee98498d9a395cfd6fd5
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: cu116 builds need to happen in a specific image.
Reviewed By: patricklabatut
Differential Revision: D37680352
fbshipit-source-id: 81bef0642ad832e83e4eba6321287759b3229303
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: PyTorch 1.7.0 was in Oct 2020 and 1.7.1 was in Dec 2020. We shouldn't need older than them, maybe not even 1.7.0.
Reviewed By: patricklabatut
Differential Revision: D33507967
fbshipit-source-id: d3de09c20c44870cbe5522705f2293acc0e62af3
Summary: Update all FB license strings to the new format.
Reviewed By: patricklabatut
Differential Revision: D33403538
fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
Summary: Although the PyTorch website, which describes the current version 1.10, suggests CUDA 10.2 and 11.3 are supported, it would appear that we need to include builds for CUDA 11.1 to avoid surprises. This is because these builds are on anaconda, and this combination is used on Google Colab.
Reviewed By: nikhilaravi
Differential Revision: D33063932
fbshipit-source-id: 1b22d1f06e22bd18fb53ceecb58e78ac6a5d1693
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: Add conda builds for the newly released PyTorch version 1.9.1.
Reviewed By: patricklabatut
Differential Revision: D31140206
fbshipit-source-id: 697549a3ef0db8248f4f9b5c00cf1407296b5022
Summary: Regenerate config.yml after a recent bad merge which lost a few builds.
Reviewed By: nikhilaravi
Differential Revision: D30696918
fbshipit-source-id: 3ecdfca8682baed13692ec710aa7c25dbd24dd44
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:
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:
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
