- 07 Feb, 2024 1 commit
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Jeremy Reizenstein authored
Summary: Build for new pytorch versions Reviewed By: shapovalov Differential Revision: D53266104 fbshipit-source-id: f7aaacaf39cab3839b24f45361c36f087d0ea7c9
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- 30 Oct, 2023 1 commit
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Jeremy Reizenstein authored
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
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- 17 Oct, 2023 1 commit
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Jeremy Reizenstein authored
Summary: Build updates for PyTorch 2.1 Reviewed By: MichaelRamamonjisoa Differential Revision: D50345762 fbshipit-source-id: 89bf4edf1c21566aa86a3abca9b4df7c4d1d17a2
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- 10 May, 2023 1 commit
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Jeremy Reizenstein authored
Summary: Drop support for PyTorch 1.9.0 and 1.9.1. Reviewed By: shapovalov Differential Revision: D45704329 fbshipit-source-id: c0fe3ecf6a1eb9bcd4163785c0cb4bf4f5060f50
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- 21 Mar, 2023 1 commit
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Jeremy Reizenstein authored
Summary: Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1480 Nightly builds with PyTorch 2.0. Reviewed By: shapovalov Differential Revision: D44135997 fbshipit-source-id: 12b363e2eadbda7a9b6ba9d8db376f41b96d551c
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- 12 Jan, 2023 1 commit
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Jeremy Reizenstein authored
Reviewed By: davidsonic Differential Revision: D42315355 fbshipit-source-id: f5ced5270e5a7b4a162ee930fc51dee0469d51fc
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- 09 Dec, 2022 2 commits
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Jeremy Reizenstein authored
Summary: Python 3.7 not needed any more Reviewed By: shapovalov Differential Revision: D41841033 fbshipit-source-id: c0cfd048c70e6b9e47224ab8cddcd6b5f4fc5597
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Jeremy Reizenstein authored
Summary: Add builds for current pytorch Reviewed By: shapovalov Differential Revision: D41841034 fbshipit-source-id: 4a58515bd5c83b26f14763a3cec9279e905391d2
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- 15 Aug, 2022 1 commit
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Jeremy Reizenstein authored
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
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- 08 Jul, 2022 1 commit
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Jeremy Reizenstein authored
Summary: cu116 builds need to happen in a specific image. Reviewed By: patricklabatut Differential Revision: D37680352 fbshipit-source-id: 81bef0642ad832e83e4eba6321287759b3229303
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- 06 Jul, 2022 1 commit
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Jeremy Reizenstein authored
Summary: change deps Reviewed By: kjchalup Differential Revision: D37612290 fbshipit-source-id: 51af55159605b0edd89ffa9e177238466fc2d993
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- 16 Mar, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Add builds for PyTorch 1.11.0. Reviewed By: nikhilaravi Differential Revision: D34861021 fbshipit-source-id: 1a1c46fac48719bc66c81872e65531a48ff538ed
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- 10 Jan, 2022 2 commits
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Jeremy Reizenstein authored
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
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Jeremy Reizenstein authored
Summary: Adds 1.10.1 to the nightly builds Reviewed By: patricklabatut Differential Revision: D33507966 fbshipit-source-id: af88b155adbc4e3236107f709323bd46a1819013
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- 05 Jan, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Python 3.6 was EOL on 2021-12-23. Reviewed By: patricklabatut Differential Revision: D33428708 fbshipit-source-id: 37a73898df49a4a49266839278fc8be56597405d
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- 04 Jan, 2022 1 commit
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Jeremy Reizenstein authored
Summary: Update all FB license strings to the new format. Reviewed By: patricklabatut Differential Revision: D33403538 fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
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- 13 Dec, 2021 1 commit
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Jeremy Reizenstein authored
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
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- 11 Nov, 2021 1 commit
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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
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- 11 Oct, 2021 1 commit
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Jeremy Reizenstein authored
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
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- 27 Sep, 2021 1 commit
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Jeremy Reizenstein authored
Summary: Add conda builds for the newly released PyTorch version 1.9.1. Reviewed By: patricklabatut Differential Revision: D31140206 fbshipit-source-id: 697549a3ef0db8248f4f9b5c00cf1407296b5022
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- 23 Aug, 2021 1 commit
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Jeremy Reizenstein authored
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
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- 22 Jun, 2021 2 commits
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Jeremy Reizenstein authored
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
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Patrick Labatut authored
Summary: License lint codebase Reviewed By: theschnitz Differential Revision: D29001799 fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909
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- 14 Jun, 2021 1 commit
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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
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- 23 Mar, 2021 1 commit
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Jeremy Reizenstein authored
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
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- 05 Feb, 2021 1 commit
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Jeremy Reizenstein authored
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
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- 14 Dec, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 02 Nov, 2020 1 commit
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Jeremy Reizenstein authored
Summary: To avoid docker's new ratelimiting, we sign in. Reviewed By: theschnitz Differential Revision: D24681688 fbshipit-source-id: 6bb1a86ee15a151758e8a2bdb081da280308ad0c
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- 29 Oct, 2020 1 commit
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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
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- 25 Aug, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 07 Aug, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 04 Aug, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 28 Jul, 2020 1 commit
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Jeremy Reizenstein authored
Summary: Make CI builds with pytorch 1.6. Reviewed By: gkioxari Differential Revision: D22790325 fbshipit-source-id: 5b0e075f952de9df2de03b65c16fd69140ab6fdd
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- 24 Jun, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 21 Apr, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 07 Apr, 2020 1 commit
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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
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- 29 Mar, 2020 1 commit
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Patrick Labatut authored
Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff) Reviewed By: nikhilaravi Differential Revision: D20558373 fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
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- 13 Mar, 2020 1 commit
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Jeremy Reizenstein authored
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
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- 12 Mar, 2020 1 commit
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Patrick Labatut authored
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
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- 07 Mar, 2020 1 commit
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Jeremy Reizenstein authored
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
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