5a93f00c79
[CI] Delete binary smoke workflows ( #164260 )
...
Those were very useful in the past, because:
- CI builder jobs did not generates wheels, but rather run `python setup.py develop` and shared docker layers, which is no longer the case, all CI jobs produce wheels
- CD jobs were targeting pre-CXX11 ABI, but this is no longer the case after manylinux2_28 migration
Existing, but acceptable gaps:
- Windows libtorch debug builds sometimes might fail, but IMO it's ok not to be able to produce those for a few days, as number of libtorch users are somewhat small
- All CD jobs are based on AlmaLinux, while CI are based on Ubuntu, but this could be adjusted if needed, besides AlmaLinux-9 and Ubuntu-22.04 are pretty close in terms of glibc and gcc versions
- CD jobs build for all GPU architectures, while CI only for the one being tested, but there are now periodic H100 and B200 jobs, and not a lot of development happens for Voltas or Pascals
Besides there are better tools to alert about the nightly failures
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164260
Approved by: https://github.com/seemethere , https://github.com/atalman
2025-09-30 20:00:07 +00:00
00f96dd84d
[CI] Run CUDA-13 binary builds on trunk ( #163787 )
...
There are numerous other workflows that could be used to catch CUDA-12
build regression (our CI builds are almost identical to CD ones), but not many CUDA-13 builds around, so https://github.com/pytorch/pytorch/issues/163342 are really hard to detect in CI
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163787
Approved by: https://github.com/atalman , https://github.com/huydhn
2025-09-25 00:58:17 +00:00
52dd7a898c
Move ROCM trunk wheel builds to 3.10 ( #163339 )
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This code is a delicious spaghetti: Sometimes python version is defined in jinja template (see https://github.com/pytorch/pytorch/pull/162297 ) sometimes in shell script (see https://github.com/pytorch/pytorch/pull/162877 ), but this time around it's in a python file (and there is another one called `generate_binary_build_matrix.py` that defines `FULL_PYTHON_VERSIONS`)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163339
Approved by: https://github.com/clee2000
2025-09-19 18:52:00 +00:00
6b8b3ac440
Revert "[ROCm] Use MI325 (gfx942) runners for binary smoke testing ( #162044 )"
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This reverts commit cd529b686d54bbaa443f5b310140de48422d96c7.
Reverted https://github.com/pytorch/pytorch/pull/162044 on behalf of https://github.com/jeffdaily due to mi200 backlog is purged, and mi300 runners are failing in GHA download ([comment](https://github.com/pytorch/pytorch/pull/162044#issuecomment-3254427869 ))
2025-09-04 16:06:30 +00:00
cd529b686d
[ROCm] Use MI325 (gfx942) runners for binary smoke testing ( #162044 )
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### Motivation
* MI250 Cirrascale runners are currently having network timeout leading to huge queueing of binary smoke test jobs:
<img width="483" height="133" alt="image" src="https://github.com/user-attachments/assets/17293002-78ad-4fc9-954f-ddd518bf0a43 " />
* MI210 Hollywood runners (with runner names such as `pytorch-rocm-hw-*`) are not suitable for these jobs, because they seem to take much longer to download artifacts: https://github.com/pytorch/pytorch/pull/153287#issuecomment-2918420345 (this is why these jobs were specifically targeting Cirrascale runners). However, it doesn't seem like Cirrascale runners are necessarily doing much better either e.g. [this recent build](https://github.com/pytorch/pytorch/actions/runs/17332256791/job/49231006755 ).
* Moving to MI325 runners should address the stability part at least, while also reducing load on limited MI2xx runner capacity.
* However, I'm not sure if the MI325 runners will do any better on the artifact download part (this may need to be investigated more) cc @amdfaa
* Also removing `ciflow/binaries` and `ciflow/binaries_wheel` label/tag triggers for `generated-linux-binary-manywheel-rocm-main.yml` because we already trigger ROCm binary build/test jobs via these labels/tags in `generated-linux-binary-manywheel-nightly.yml`. And for developers who want to trigger ROCm binary build/test jobs on their PRs, they can use the `ciflow/rocm-mi300` label/tag as per this PR.
### TODOs (cc @amdfaa):
* Check that the workflow runs successfully on the MI325 runners in this PR. Note how long the test jobs take esp. the "Download Build Artifacts" step
* Once this PR is merged, clear the queue of jobs targeting `linux.rocm.gpu.mi250`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/162044
Approved by: https://github.com/jeffdaily
Co-authored-by: Jeff Daily <jeff.daily@amd.com >
2025-09-03 18:34:07 +00:00
81d72fb1f7
Move smoke binary builds to 3.12 ( #159993 )
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And limit them just to stable CUDA version (as there weren't any recent instances when only one of those jobs failed to build)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159993
Approved by: https://github.com/ngimel
ghstack dependencies: #159986 , #159990
2025-08-07 01:59:30 +00:00
d0226719a9
[BE][EZ] Delete remains of split-build logic ( #159990 )
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Hopefully last piece of https://github.com/pytorch/pytorch/issues/138750
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159990
Approved by: https://github.com/atalman
ghstack dependencies: #159986
2025-08-07 01:59:30 +00:00
512b4730e3
[EZ] Remove useless cross_compile_arm64 ( #159986 )
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As we don't have any Intel Mac runners in CI for last 2+ years
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159986
Approved by: https://github.com/atalman
2025-08-06 21:01:05 +00:00
08799217ae
[CI] Move main branch rocm binary builds to its own workflow ( #158161 )
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Petition to move out of ciflow/trunk and into ciflow/rocm because it's a long pole for TTS
<img width="1192" height="312" alt="image" src="https://github.com/user-attachments/assets/b12a097a-3763-4c62-b09f-094ee9ae1c37 " />
Pull Request resolved: https://github.com/pytorch/pytorch/pull/158161
Approved by: https://github.com/seemethere
2025-07-14 23:07:49 +00:00
794ef6c9b8
Enable manywheel build and smoke test on main branch for ROCm ( #153287 )
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Fixes issue of not discovering breakage of ROCm wheel builds until the nightly job runs e.g. https://github.com/pytorch/pytorch/pull/153253
Pull Request resolved: https://github.com/pytorch/pytorch/pull/153287
Approved by: https://github.com/jeffdaily
2025-06-14 19:14:31 +00:00
d7e3c9ce82
Revert "Enable manywheel build and smoke test on main branch for ROCm ( #153287 )"
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This reverts commit 3b6569b1ef4b9ff25f5b75fe0a216d6d084d573f.
Reverted https://github.com/pytorch/pytorch/pull/153287 on behalf of https://github.com/clee2000 due to broke lint [GH job link](https://github.com/pytorch/pytorch/actions/runs/15646152483/job/44083912145 ) [HUD commit link](3b6569b1efhttps://github.com/pytorch/pytorch/pull/153287#issuecomment-2972088294 ))
2025-06-14 01:32:27 +00:00
3b6569b1ef
Enable manywheel build and smoke test on main branch for ROCm ( #153287 )
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Fixes issue of not discovering breakage of ROCm wheel builds until the nightly job runs e.g. https://github.com/pytorch/pytorch/pull/153253
Pull Request resolved: https://github.com/pytorch/pytorch/pull/153287
Approved by: https://github.com/jeffdaily
2025-06-14 00:05:57 +00:00
4c3da611c2
Add CUDA 12.9.1 x86 nightly binaries ( #154980 )
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Adding CUDA 12.9.1 to nightly binaries matrix for linux (x86) builds.
Add sbsa and libtorch build docker images, builds addition will be follow-up PRs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/154980
Approved by: https://github.com/eqy , https://github.com/atalman
2025-06-11 13:43:17 +00:00
8153340d10
[CI/CD] Remove CUDA 11.8 builds ( #155509 )
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This removes CUDA 11.8 from CI/CD
Please see: https://github.com/pytorch/pytorch/issues/147383
TODO: Will followup of cleaning CUDA 11.8 config from scripts
Pull Request resolved: https://github.com/pytorch/pytorch/pull/155509
Approved by: https://github.com/cyyever , https://github.com/huydhn , https://github.com/malfet
2025-06-10 05:16:41 +00:00
6ced5e6840
Python 3.11 and 3.13 support for Windows Arm64 ( #152109 )
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This PR adds Python 3.11 and 3.13 support Windows Arm64 wheels and creates the necessary jobs
Pull Request resolved: https://github.com/pytorch/pytorch/pull/152109
Approved by: https://github.com/malfet
2025-04-24 21:09:14 +00:00
3a6b3c8e0e
Combine windows x64 and arm64 yaml template files ( #149850 )
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While introducing Windows-Arm64 nightly workflows, we created a separate template file for win-arm64. This PR combines x64&arm64 and deletes the win-arm64 one.
Fixes #148776
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149850
Approved by: https://github.com/ozanMSFT , https://github.com/malfet
2025-04-17 17:58:55 +00:00
dfcd98e684
cd: Fix naming for windows arm64 libtorch builds ( #150310 )
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Apparently the magical incantation to name these correctly lies in the
build_variant variable otherwise it silently does nothing.
Signed-off-by: Eli Uriegas <eliuriegas@meta.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/150310
Approved by: https://github.com/atalman
2025-03-31 20:12:03 +00:00
5c19952c83
cd: Restore windows release builds for libtorch ( #149863 )
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These were accidentally deleted in the refactor of DEVTOOLSET +
cxx11abi.
This happened because the `build_environment` variable wasn't aware of the `build_variant` for libtorch and subsequently overwrote the original file twice, leaving the last written as the actual workflow (which in this case was the debug builds).
One thing this has made me curious on is if we actually need `debug` builds for window at all? We don't release them for linux and I'd probably bet that they have low download numbers anyways so maybe it makes sense to cut them.
Adds a build_variant parameter to the dataclass so that we can extend
these easily in the future if we want.
Signed-off-by: Eli Uriegas <eliuriegas@meta.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149863
Approved by: https://github.com/malfet , https://github.com/atalman
2025-03-25 16:23:59 +00:00
1d9401befc
ci: Remove mentions and usages of DESIRED_DEVTOOLSET and cxx11 ( #149443 )
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This is a remnant of our migration to manylinux2_28 we should remove
these since all of our binary builds are now built with cxx11_abi
Signed-off-by: Eli Uriegas <eliuriegas@meta.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149443
Approved by: https://github.com/izaitsevfb , https://github.com/atalman
2025-03-20 16:49:46 +00:00
2a1eeaeed8
Remove 12.4 x86 builds and 12.6 sbsa builds from nightly ( #148895 )
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https://github.com/pytorch/pytorch/issues/145570
redo https://github.com/pytorch/pytorch/pull/148625
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148895
Approved by: https://github.com/atalman
2025-03-10 20:55:09 +00:00
99da439d10
Revert "Remove Cuda 12.4 from nightly Binaries ( #148625 )"
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This reverts commit 1239176fe717839ca5612ac03a4806051225f381.
Reverted https://github.com/pytorch/pytorch/pull/148625 on behalf of https://github.com/malfet due to Broke lint ([comment](https://github.com/pytorch/pytorch/pull/148625#issuecomment-2707415005 ))
2025-03-07 20:47:45 +00:00
1239176fe7
Remove Cuda 12.4 from nightly Binaries ( #148625 )
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https://github.com/pytorch/pytorch/issues/145570
removes cuda 12.4 nightly builds
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148625
Approved by: https://github.com/atalman
2025-03-07 18:56:04 +00:00
61c4074df7
Add Windows Arm64 Nightly Builds ( #139760 )
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This PR creates 3 new worklflows for Windows Arm64 target. The workflows and outputs can be reviewed at the following links:
https://github.com/pytorch/pytorch/actions/workflows/generated-windows-arm64-binary-libtorch-release-nightly.yml
https://github.com/pytorch/pytorch/actions/workflows/generated-windows-arm64-binary-libtorch-debug-nightly.yml
https://github.com/pytorch/pytorch/actions/workflows/generated-windows-arm64-binary-wheel-nightly.yml
Pull Request resolved: https://github.com/pytorch/pytorch/pull/139760
Approved by: https://github.com/malfet
Co-authored-by: Ozan Aydin <148207261+ozanMSFT@users.noreply.github.com >
Co-authored-by: Huy Do <huydhn@gmail.com >
2025-03-07 18:53:56 +00:00
a7cc6d3e84
Manylinux 2.28 migration - remove pre-cxx11 abi libtorch builds ( #146200 )
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Related to: https://github.com/pytorch/pytorch/issues/123649
Removing pre-cxx11 abi builds.
As per announcement : https://dev-discuss.pytorch.org/t/pytorch-linux-wheels-switching-to-new-wheel-build-platform-manylinux-2-28-on-november-12-2024/2581
Pull Request resolved: https://github.com/pytorch/pytorch/pull/146200
Approved by: https://github.com/kit1980 , https://github.com/huydhn
2025-01-31 21:43:12 +00:00
9232355bb0
Add CUDA 12.8 manywheel x86 Builds to Binaries Matrix ( #145792 )
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https://github.com/pytorch/pytorch/issues/145570
Adding cuda 12.8.0 x86 builds first
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145792
Approved by: https://github.com/nWEIdia , https://github.com/malfet , https://github.com/atalman
2025-01-31 16:12:02 +00:00
60f98262f1
PEP585: .github ( #145707 )
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/145707
Approved by: https://github.com/huydhn
2025-01-27 21:21:01 +00:00
99f2491af9
Revert "Use absolute path path.resolve() -> path.absolute() ( #129409 )"
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This reverts commit 45411d1fc9a2b6d2f891b6ab0ae16409719e09fc.
Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/jeanschmidt due to Breaking internal CI, @albanD please help get this PR merged ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2571316444 ))
2025-01-04 14:17:20 +00:00
45411d1fc9
Use absolute path path.resolve() -> path.absolute() ( #129409 )
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Changes:
1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
2025-01-03 20:03:40 +00:00
cc4e70b7c3
Revert "Use absolute path path.resolve() -> path.absolute() ( #129409 )"
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This reverts commit 135c7db99d646b8bd9603bf969d47d3dec5987b1.
Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/malfet due to need to revert to as dependency of https://github.com/pytorch/pytorch/pull/129374 ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2562969825 ))
2024-12-26 17:26:06 +00:00
135c7db99d
Use absolute path path.resolve() -> path.absolute() ( #129409 )
...
Changes:
1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
2024-12-24 08:33:08 +00:00
99a03211cb
Deprecate conda nightly builds ( #141024 )
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Removing CD as per https://github.com/pytorch/pytorch/issues/138506
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141024
Approved by: https://github.com/malfet
2024-11-19 16:09:54 +00:00
14bb49fe98
Add CUDA 12.6 Linux Builds to Binaries Matrix ( #138899 )
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Related to #138440
Issue tracker: https://github.com/pytorch/pytorch/issues/138609
Version based on https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138899
Approved by: https://github.com/atalman
Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com >
2024-11-12 19:52:31 +00:00
889717aabd
[CI/CD] Disable split build ( #138752 )
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See https://github.com/pytorch/pytorch/issues/138750
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138752
Approved by: https://github.com/kit1980 , https://github.com/huydhn
2024-10-23 22:38:30 +00:00
a30d5ba16c
Fix bug in split-build workflows codegen ( #136043 )
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By just deleting a few rogue lines left out in https://github.com/pytorch/pytorch/pull/135510
If file in workflows folder does not have a `.yml` extensions it will not be launched at all, will it?
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136043
Approved by: https://github.com/kit1980 , https://github.com/atalman
2024-09-13 21:29:06 +00:00
a4e6a0b240
[split build] move periodic split builds into own concurrency group ( #135510 )
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To avoid nightly workflows cancelling each other
Pull Request resolved: https://github.com/pytorch/pytorch/pull/135510
Approved by: https://github.com/clee2000 , https://github.com/huydhn , https://github.com/malfet
Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com >
2024-09-09 19:35:57 +00:00
0c661f3e1a
[Split Build] Refactor split build binary builds into their own workflows and move split build binary builds to periodic ( #134624 )
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As we need to move split build binary tests from trunk to periodic this pr, refactors those jobs out into its own workflow to achieve this.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/134624
Approved by: https://github.com/malfet
2024-09-06 23:57:56 +00:00
a6aa451bde
Move python 3.8 to 3.9 for linux-binary-manywheel workflow ( #133621 )
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Part of Deprecation of python 3.8 and moving to 3.9. Related to: https://github.com/pytorch/pytorch/issues/120718
Pull Request resolved: https://github.com/pytorch/pytorch/pull/133621
Approved by: https://github.com/Skylion007 , https://github.com/kit1980 , https://github.com/malfet
2024-08-16 13:49:26 +00:00
747b38c131
[BE][Easy][2/19] enforce style for empty lines in import segments in .ci/ and .github/ ( #129753 )
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See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501 . Most changes are auto-generated by linter.
You can review these PRs via:
```bash
git diff --ignore-all-space --ignore-blank-lines HEAD~1
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129753
Approved by: https://github.com/malfet
ghstack dependencies: #129752
2024-07-16 09:40:00 +00:00
57baae9c9b
Migrating CI/CD jobs to macOS 14 ( #127582 )
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We have half the fleet in MacoS 14 already and it has been running fine so far https://github.com/pytorch/pytorch/issues/127490 . So, I'm preparing the final push to replace the rest of them. This also switches release build from 13 to 14 (GitHub runners)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127582
Approved by: https://github.com/atalman
2024-05-31 22:30:59 +00:00
ba3b05fdf3
[1/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort stdlib ( #127122 )
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The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127122
Approved by: https://github.com/kit1980
2024-05-25 08:25:50 +00:00
0902929d58
[CUDA] [CI]: Enable CUDA 12.4 CI ( #121956 )
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Reference PR: https://github.com/pytorch/pytorch/pull/93406
Co-authored-by: Aidyn-A <31858918+Aidyn-A@users.noreply.github.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/121956
Approved by: https://github.com/atalman
2024-05-23 20:37:47 +00:00
da7ced6e8c
S390x binaries ( #120398 )
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Allow building nightly, rc and release binaries for s390x.
This PR implements building binaries, but publishing part is currently missing.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120398
Approved by: https://github.com/huydhn
2024-05-11 02:32:25 +00:00
c5fafe9f48
[BE]: TRY002 - Ban raising vanilla exceptions ( #124570 )
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Adds a ruff lint rule to ban raising raw exceptions. Most of these should at the very least be runtime exception, value errors, type errors or some other errors. There are hundreds of instance of these bad exception types already in the codebase, so I have noqa'd most of them. Hopefully this error code will get commiters to rethink what exception type they should raise when they submit a PR.
I also encourage people to gradually go and fix all the existing noqas that have been added so they can be removed overtime and our exception typing can be improved.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/124570
Approved by: https://github.com/ezyang
2024-04-21 22:26:40 +00:00
b4160fd9c7
Clean up macOS x86 binaries build jobs ( #116726 )
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This will stop building binaries for MacOS x86 on PyTorch including nightly and all future releases. If we want this for 2.2, this can be cherry-picked there.
* [x] https://github.com/pytorch/pytorch/pull/116725
* [ ] https://github.com/pytorch/pytorch/pull/116726
Fixes https://github.com/pytorch/pytorch/issues/114602
Pull Request resolved: https://github.com/pytorch/pytorch/pull/116726
Approved by: https://github.com/atalman
2024-03-11 19:09:39 +00:00
98a044d33e
[CI] Build M1 conda binaries on M1 runners ( #117801 )
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As usual, almost no work on PyTorch side, all changes are on the builder end, namely:
- 8b67d32929eb78393f1e0d3aea4ee06c6a33b271https://github.com/pytorch/pytorch/pull/117801
Approved by: https://github.com/atalman
2024-01-19 14:31:12 +00:00
995fae6060
Move small pypi build as default for linux cuda 12.1 ( #114281 )
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This is first PR to resolve: https://github.com/pytorch/pytorch/issues/113972
Move our small wheel build as default
Test:
```
pip3 install --no-cache-dir --pre torch-2.2.0.dev20231121%2Bcu121-cp310-cp310-linux_x86_64.whl --index-url https://download.pytorch.org/whl/nightly/cu121
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Processing ./torch-2.2.0.dev20231121%2Bcu121-cp310-cp310-linux_x86_64.whl
Collecting filelock (from torch==2.2.0.dev20231121+cu121)
Downloading https://download.pytorch.org/whl/nightly/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting typing-extensions>=4.8.0 (from torch==2.2.0.dev20231121+cu121)
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Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.2.0.dev20231121+cu121)
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Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.2.0.dev20231121+cu121)
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Installing collected packages: mpmath, typing-extensions, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, pytorch-triton, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/114281
Approved by: https://github.com/malfet , https://github.com/huydhn
2023-11-22 00:10:03 +00:00
1b86d5ef2f
[Ci] Add arm64 libtorch CI config ( #112474 )
...
Pull Request resolved: https://github.com/pytorch/pytorch/pull/112474
Approved by: https://github.com/ZainRizvi , https://github.com/seemethere
ghstack dependencies: #112451 , #112452
2023-11-01 19:09:34 +00:00
8d6b4322d0
[CI] Limit libtorch builds to shared-with-deps ( #112452 )
...
As that is the only variant that is being mentioned on https://pytorch.org/get-started/locally/
And for MacOS those three flavors were just building and uploading the
same thing 3 times over, see [this](https://github.com/pytorch/pytorch/actions/runs/6689661275/job/18176516410 ) for example:
```
upload: ../../_temp/artifacts/libtorch-macos-2.2.0.dev20231030.zip to s3://pytorch/libtorch/nightly/cpu/libtorch-macos-2.2.0.dev20231030.zip
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/112452
Approved by: https://github.com/huydhn
ghstack dependencies: #112451
2023-10-31 08:40:06 +00:00
cd0e7d133b
Migrate MacOs wheel binary builds to ephemeral M1 runners ( #110432 )
...
Surprisingly there are no speed difference between running the cross-compilation on `macos12-xl` (x86_64 12 core machine) and `macos-13-xlarge` (m1 6 core machine)
Most of the changes are on the https://github.com/pytorch/builder side:
- 50a6e91f97bbb29b04678bcc83dbb1cc4f1f9055https://github.com/pytorch/pytorch/pull/110432
Approved by: https://github.com/kit1980
2023-10-03 17:31:28 +00:00
ec85ab6157
Adding aarch64 wheel CI workflows ( #104109 )
...
Adding Workflows for building aarch64 Linux PyTorch PIP wheels
Updates:
* Created aarch64 template for generated workflows
* Updated generate_ci_workflows.py to include aarch64
* Generated the aarch64 wheel workflow
* added _binary-build-aarch64.yml for building aarch64 wheel
* added _binary-test-aarch64.yml for sanity check of aarch64 wheel
* Updated binary_linux_test.sh to use --extra-index-url for aarch64 till needed aarch64 dependencies are available at https://download.pytorch.org/whl/nightly/cpu
NOTES:
* The build and test workflows are using arm64v8/alpine and quay.io/pypa/manylinux2014_aarch64:latest docker images at this time.
* Conda generated workflow not included at this time and being worked on.
Workflows were successfully tested at https://github.com/xncqr/pytorch/actions/runs/5351891068
Pull Request resolved: https://github.com/pytorch/pytorch/pull/104109
Approved by: https://github.com/malfet , https://github.com/atalman
2023-06-29 18:58:43 +00:00
