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:
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: As remarked in #655, we need to specify the fvcore channel before conda-forge, because there is now an fvcore on conda-forge which we don't aim to use. Compare D27589827
Reviewed By: nikhilaravi
Differential Revision: D27938996
fbshipit-source-id: 8abf7994a26e0ea9e6a19fb1e246aba7af091ddc
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: Now we use iopath, we need to find it from its own channel.
Reviewed By: nikhilaravi
Differential Revision: D25710499
fbshipit-source-id: 1c67eb6d5b009d35b65a3acd3ebff6e0e45fecc4
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: We have already uploaded a conda package of the cub 1.10.0 sources to our channel on anaconda. Here is the code we used.
Reviewed By: nikhilaravi
Differential Revision: D25395358
fbshipit-source-id: b58fd473fcafd425c98c9d7a7c32574f651383a0
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: 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: cuda 10.2 location on linux. Also remove unused conda test dependencies.
Reviewed By: nikhilaravi
Differential Revision: D21176409
fbshipit-source-id: dd3f339a92233ff16877ba76506ddf8f4418715d
Summary:
None of the current test_build tests make sense during `conda build`.
Also remove the unnecessary dependency on the `six` library.
Reviewed By: nikhilaravi
Differential Revision: D20893852
fbshipit-source-id: 685f0446eaa0bd9151eeee89fc630a1ddc0252ff
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: D20426113 made a mistake, in that it added a dev tag to all conda builds. This makes the simplest fix, which is to never have the dev tag.
Reviewed By: nikhilaravi
Differential Revision: D20468541
fbshipit-source-id: adc71b58d59356834d33f65a75cf8ba84359bc74
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
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
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
