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175 Commits

Author SHA1 Message Date
Ke Wen
34c6371d24 Add NVSHMEM to PYTORCH_EXTRA_INSTALL_REQUIREMENTS (#154568) 
NVSHMEM 3.2.5 (released Mar 2025) have both cu11 and cu12 builds.
See:
https://pypi.nvidia.com/nvidia-nvshmem-cu12/
https://pypi.nvidia.com/nvidia-nvshmem-cu11/
Pull Request resolved: https://github.com/pytorch/pytorch/pull/154568
Approved by: https://github.com/atalman
ghstack dependencies: #154538
 2025-06-04 17:43:24 +00:00
Ting Lu
bab59d3c28 Upgrade to CUDA 12.8.1 for nightly binaries (#152923) 
Upgrade current CUDA 12.8 builds to 12.8.1

Pull Request resolved: https://github.com/pytorch/pytorch/pull/152923
Approved by: https://github.com/atalman
 2025-05-23 22:37:05 +00:00
Wang, Chuanqi
c92ea3bc98 [BE] Upgrade XPU support package to 2025.1 in CICD (#151899) 
Address #151097. Including below changes,

- Add XPU support package 2025.1 build and test in CI for both Linux and Windows
- Keep XPU support package 2025.0 build in CI to ensure no break issue until PyTorch 2.8 release
- Upgrade XPU support package from 2025.0 to 2025.1 in CD for both Linux and Windows
- Enable XCCL in Linux CD wheel and oneMKL integration in both both Linux and Windows
- Update XPU runtime pypi packages of CD wheels
- Remove deprecated support package version docker image build
Pull Request resolved: https://github.com/pytorch/pytorch/pull/151899
Approved by: https://github.com/EikanWang, https://github.com/atalman
 2025-05-14 20:21:09 +00:00
Ting Lu
7f79222992 Upgrade to NCCL 2.26.5 for CUDA 12 (#152810) 
Upgrade NCCL to latest 2.26.5

Pull Request resolved: https://github.com/pytorch/pytorch/pull/152810
Approved by: https://github.com/eqy, https://github.com/albanD, https://github.com/nWEIdia, https://github.com/atalman, https://github.com/cyyever
 2025-05-14 00:52:50 +00:00
atalman
c869862875 Remove cuda dependencies from non cuda buids (#152333) 
These dependancies added to fix poetry issue on pypi. However inclusion of these dependencies creates issue with poetry on download.pytorch.org due to poetry reading first available wheel on index for METADATA requirements. Hence all metadata requirements for CPU wheels can't list any cuda dependencies.

Injecting these dependencies via prep for pypi will need to be done via:
https://github.com/pytorch/test-infra/blob/main/release/pypi/prep_binary_for_pypi.sh

Ref: https://github.com/pytorch/pytorch/issues/152121

Pull Request resolved: https://github.com/pytorch/pytorch/pull/152333
Approved by: https://github.com/jeanschmidt, https://github.com/malfet
 2025-04-28 16:46:44 +00:00
Catherine Lee
e05ac9b794 Use folder tagged docker images for binary builds (#151706) 
Should be the last part of https://github.com/pytorch/pytorch/pull/150558, except for maybe s390x stuff, which I'm still not sure what's going on there

For binary builds, do the thing like we do in CI where we tag each image with a hash of the .ci/docker folder to ensure a docker image built from that commit gets used.  Previously it would use imagename:arch-main, which could be a version of the image based on an older commit

After this, changing a docker image and then tagging with ciflow/binaries on the same PR should use the new docker images

Release and main builds should still pull from docker io

Cons:
* if someone rebuilds the image from main or a PR where the hash is the same (ex folder is unchanged, but retrigger docker build for some reason), the release would use that image instead of one built on the release branch
* spin wait for docker build to finish
Pull Request resolved: https://github.com/pytorch/pytorch/pull/151706
Approved by: https://github.com/atalman
 2025-04-22 21:50:10 +00:00
Jithun Nair
b4550541ea [ROCm] upgrade nightly wheels to rocm6.4 (#151355) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/151355
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-04-17 17:29:07 +00:00
Aleksei Nikiforov
bb11122e12 Update docker image names for s390x (#151426) 
Disable switching tag for s390x docker images

Keep it that way unless they are published.
There's no way to determine in advance
which docker image names are needed
for building s390x binaries otherwise.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/151426
Approved by: https://github.com/malfet, https://github.com/seemethere
 2025-04-17 12:47:23 +00:00
PyTorch MergeBot
b238e36fd9 Revert "[BE][Ez]: Update CU126 to CUDNN 12.8 too (#149254)" 
This reverts commit b0a5d55c58.

Reverted https://github.com/pytorch/pytorch/pull/149254 on behalf of https://github.com/izaitsevfb due to seems to be causing multiple test failures ([comment](https://github.com/pytorch/pytorch/pull/149254#issuecomment-2744686862))
 2025-03-21 23:44:09 +00:00
Aaron Gokaslan
b0a5d55c58 [BE][Ez]: Update CU126 to CUDNN 12.8 too (#149254) 
Have CUDNN have the same version for 12.6 and 12.8 for better performance and consistency. We can't do CU12.1 because it's not supported and CU12.4 isn't updated due to manywheel Linux compatibility reasons and dropping support for it.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149254
Approved by: https://github.com/jansel, https://github.com/atalman, https://github.com/tinglvv
 2025-03-21 18:20:44 +00:00
Eli Uriegas
1d9401befc ci: Remove mentions and usages of DESIRED_DEVTOOLSET and cxx11 (#149443) 
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
Aleksei Nikiforov
2be97c7257 Update nightly s390x builds (#149337) 
This change should fix new nightly build failures for s390x.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149337
Approved by: https://github.com/malfet
 2025-03-19 23:27:14 +00:00
Tristan Rice
dea7157160 nccl: upgrade to 2.26.2 to avoid hang on ncclCommAbort (#149351) 
Fixes #149153

Yaml generated from:

```
python .github/scripts/generate_ci_workflows.py
```

Test plan:

Repro in https://gist.github.com/d4l3k/16a19b475952bc40ddd7f2febcc297b7

```
rm -rf third_party/nccl
python setup.py develop
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/149351
Approved by: https://github.com/kwen2501, https://github.com/atalman, https://github.com/malfet
 2025-03-18 05:23:18 +00:00
Aaron Gokaslan
6856d81c60 [BE]: Update CU128 cudnn to 9.8.0.87 (#148963) 
Also cu12.6 is an on old CUDNN version, we may want to upgrade it for all the performance reasons as I don't see a manywheel linux reason to stay back on the old 9.5 release. I might split that into it's own PR. This one just updates CU126 to the latest and greatest.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148963
Approved by: https://github.com/jansel, https://github.com/eqy, https://github.com/nWEIdia, https://github.com/tinglvv, https://github.com/atalman
 2025-03-13 16:59:12 +00:00
atalman
29fd875bc1 Automate stable CUDA update and linter using min Python verison (#148912) 
1. Fixes: https://github.com/pytorch/pytorch/issues/145571 . Cuda Stable is the same cuda version that is published to pypi, also used to set Metadata section in the rest of whl scripts and tag the docker releases with latest tag.
2. Updates min python version used in linter
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148912
Approved by: https://github.com/Skylion007, https://github.com/malfet
 2025-03-12 18:12:34 +00:00
Ting Lu
2a1eeaeed8 Remove 12.4 x86 builds and 12.6 sbsa builds from nightly (#148895) 
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
Aman Karmani
a81751d8b7 [CD] Annotate linux/arm64 cuda wheels with consistent nvidia dependencies (#145021) 
This resolves issues installing torch nightly wheels into a `uv sync`-generated `.venv`

The root cause is that the x64 and arm64 cuda nightly wheels have inconsistent metadata. This can be seen comparing `generated-linux-aarch64-binary-manywheel-nightly.yml` and `generated-linux-binary-manywheel-nightly.yml`

`uv` expects consistency:

https://github.com/astral-sh/uv/issues/10693
>Frankly, it's really not ideal that they change their dependencies from wheel to wheel.
>They could still put the dependencies there with the same platform markers they're using in the other wheel though... 🤷‍♀

https://github.com/astral-sh/uv/issues/10119#issuecomment-2559898792
>I think this is something that basically has to be solved by PyTorch. The issue is that the wheels for `2.6.0.dev20241222+cu126` don't have consistent metadata, and it's a fundamental assumption of uv that the metadata for a given version _is_ consistent.

To resolve this, I modified the arm64 nightly build workflow to add two new `PYTORCH_EXTRA_INSTALL_REQUIREMENTS` entries, under `manywheel-py3_11-cuda-aarch64-build` and `manywheel-py3_12-cuda-aarch64-build`. These are based on their equivalents in the x64 workflow for the corresponding python versions.

I used the cuda 12.6 dependencies versions for the nvidia packages, to match the `DOCKER_IMAGE: pytorch/manylinuxaarch64-builder:cuda12.6-main` being used by these jobs.

(The arm64 workflow file already had several `PYTORCH_EXTRA_INSTALL_REQUIREMENTS` entries, under various cpu wheels. I'm not sure why these are there, but I left them as-is.)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145021
Approved by: https://github.com/seemethere, https://github.com/atalman

Co-authored-by: Eli Uriegas <eliuriegas@meta.com>
Co-authored-by: Andrey Talman <atalman@fb.com>
 2025-03-10 14:39:39 +00:00
PyTorch MergeBot
99da439d10 Revert "Remove Cuda 12.4 from nightly Binaries (#148625)" 
This reverts commit 1239176fe7.

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
Ting Lu
1239176fe7 Remove Cuda 12.4 from nightly Binaries (#148625) 
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
Irem Yuksel
61c4074df7 Add Windows Arm64 Nightly Builds (#139760) 
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
Wang, Chuanqi
3f4311d589 [CD] Upgrade xpu runtime pypi packages version and enable windows kineto again (#148319) 
Fixes https://github.com/pytorch/pytorch/issues/145155

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148319
Approved by: https://github.com/xuhancn, https://github.com/atalman
 2025-03-05 18:39:55 +00:00
Ting Lu
fe100c3c5b Add libtorch nightly build for CUDA 12.8 (#146265) 
Try removing sm50 and sm60 to shrink binary size, and resolve the ld --relink error

"Architecture support for Maxwell, Pascal, and Volta is considered feature-complete and will be frozen in an upcoming release." from 12.8 release note.

Also updating the runner for cuda 12.8 test to g4dn (T4, sm75) due to the drop in sm50/60 support.

https://github.com/pytorch/pytorch/issues/145570

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146265
Approved by: https://github.com/atalman
 2025-02-21 03:04:06 +00:00
Ting Lu
e6c86952c6 Add CUDA 12.8 windows nightly build (#147037) 
https://github.com/pytorch/pytorch/issues/145570

windows AMI is deployed to prod today, prepping the windows cuda 12.8 build

Pull Request resolved: https://github.com/pytorch/pytorch/pull/147037
Approved by: https://github.com/atalman
 2025-02-19 16:59:32 +00:00
atalman
4ece056791 Nccl update to 2.25.1 for cuda 12.4-12.8 (#146073) 
Should resolve: https://github.com/pytorch/pytorch/issues/144768
We use one common nccl version for cuda builds 12.4-12.8 : ``NCCL_VERSION=v2.25.1-1``
For CUDA 11.8 we use legacy ``NCCL_VERSION=v2.21.1-1``
We use pinned version of NCCL rather then submodule.
Move nccl location from ``third_party/nccl/nccl`` to ``third_party/nccl``

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146073
Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/kwen2501, https://github.com/fduwjj
 2025-02-19 03:52:26 +00:00
PyTorch MergeBot
7622e29a37 Revert "Nccl update to 2.25.1 for cuda 12.4-12.8 (#146073)" 
This reverts commit eecee5863e.

Reverted https://github.com/pytorch/pytorch/pull/146073 on behalf of https://github.com/atalman due to breaks Locally building benchmarks ([comment](https://github.com/pytorch/pytorch/pull/146073#issuecomment-2667054179))
 2025-02-18 22:23:35 +00:00
atalman
eecee5863e Nccl update to 2.25.1 for cuda 12.4-12.8 (#146073) 
Should resolve: https://github.com/pytorch/pytorch/issues/144768
We use one common nccl version for cuda builds 12.4-12.8 : ``NCCL_VERSION=v2.25.1-1``
For CUDA 11.8 we use legacy ``NCCL_VERSION=v2.21.1-1``
We use pinned version of NCCL rather then submodule.
Move nccl location from ``third_party/nccl/nccl`` to ``third_party/nccl``

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146073
Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/kwen2501, https://github.com/fduwjj
 2025-02-14 21:23:19 +00:00
PyTorch MergeBot
e06ee4aa9f Revert "Nccl update to 2.25.1 for cuda 12.4-12.8 (#146073)" 
This reverts commit 06f4a5c0e5.

Reverted https://github.com/pytorch/pytorch/pull/146073 on behalf of https://github.com/atalman due to breaks macos builds: ModuleNotFoundError: No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package ([comment](https://github.com/pytorch/pytorch/pull/146073#issuecomment-2659802389))
 2025-02-14 16:44:46 +00:00
atalman
06f4a5c0e5 Nccl update to 2.25.1 for cuda 12.4-12.8 (#146073) 
Should resolve: https://github.com/pytorch/pytorch/issues/144768
We use one common nccl version for cuda builds 12.4-12.8 : ``NCCL_VERSION=v2.25.1-1``
For CUDA 11.8 we use legacy ``NCCL_VERSION=v2.21.1-1``
We use pinned version of NCCL rather then submodule.
Move nccl location from ``third_party/nccl/nccl`` to ``third_party/nccl``

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146073
Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/kwen2501, https://github.com/fduwjj
 2025-02-14 15:29:59 +00:00
Ting Lu
0344bf8a5a [cuDNN] cuDNN to 9.7.1.26 for CUDA 12.8 (#146957) 
rebasing for https://github.com/pytorch/pytorch/pull/146717

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146957
Approved by: https://github.com/Skylion007, https://github.com/eqy, https://github.com/nWEIdia, https://github.com/atalman

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>
 2025-02-12 23:43:34 +00:00
Wang, Chuanqi
8c80c13b34 [CD] Add python 3.13t build for xpu (#146614) 
Fixes #146451

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146614
Approved by: https://github.com/atalman
 2025-02-12 07:01:36 +00:00
Mikayla Gawarecki
861bf892fb Set USE_CUFILE=1 by default and add pypi package to binary build matrix (#145748) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145748
Approved by: https://github.com/atalman
 2025-02-11 15:49:01 +00:00
Ting Lu
9e45bc82e9 [aarch64] CUDA 12.8 aarch64 builds to nightly binaries (#146378) 
https://github.com/pytorch/pytorch/issues/145570

Adding Cuda 12.8 and keeping 12.6 for the sbsa build, supported CUDA_ARCH: 9.0, 10.0, 12.0

Refactor the binaries matrix for cuda sbsa build. Previously cuda-aarch64 was hardcoded to cuda 12.6. Now reads 12.6 and 12.8, new build naming example [manywheel-py3_9-cuda-aarch64-12_8-build](https://github.com/pytorch/pytorch/actions/runs/13132625006/job/36640885079?pr=146378#logs)

TODO: once 12.8 is stable, remove 12.6 in sbsa

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146378
Approved by: https://github.com/atalman
 2025-02-05 02:55:21 +00:00
atalman
a7cc6d3e84 Manylinux 2.28 migration - remove pre-cxx11 abi libtorch builds (#146200) 
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
Ting Lu
9232355bb0 Add CUDA 12.8 manywheel x86 Builds to Binaries Matrix (#145792) 
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
Aaron Orenstein
60f98262f1 PEP585: .github (#145707) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145707
Approved by: https://github.com/huydhn
 2025-01-27 21:21:01 +00:00
atalman
2cffbff7da Add 3.13t Windows and MacOS binary builds (#141806) 
Related to: https://github.com/pytorch/pytorch/issues/130249

For conda uses approach described here:
https://conda-forge.org/blog/2024/09/26/python-313/

Create Python 3.13t conda env like so:
```
conda create -n py313 python=3.13 python-freethreading  -c conda-forge
```

For windows executable installation we need to pass additional parameter to enable 3.13t:
```
Include_freethreaded=1
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141806
Approved by: https://github.com/albanD
 2025-01-21 17:16:19 +00:00
Wang, Chuanqi
b4b4e57469 [CD] Enable profiling for XPU Windows nightly wheels (#144316) 
PR https://github.com/pytorch/pytorch/pull/144034 added profiling support for torch XPU Windows binary, enable it in PyTorch XPU Windows CD
Works for https://github.com/pytorch/pytorch/issues/114850

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144316
Approved by: https://github.com/xuhancn, https://github.com/atalman
 2025-01-14 19:01:27 +00:00
Nikita Shulga
6053242890 [CD] Enable python3.13t builds for aarch64 (#144698) 
But make sure that right numpy version is picked (2.0.2 does not support 3.13)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144698
Approved by: https://github.com/atalman
ghstack dependencies: #144696, #144697, #144716
 2025-01-14 02:29:01 +00:00
Nikita Shulga
d44c3906b8 [EZ] [CD] Add 3.13 to FULL_PYTHON_VERSIONS (#144697) 
Separation was necessary for Conda codegen, but now it's gone
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144697
Approved by: https://github.com/atalman, https://github.com/izaitsevfb
ghstack dependencies: #144696
 2025-01-13 19:12:12 +00:00
Nikita Shulga
d2f905760d [EZ] [CD] Eliminate stale TODO (#144696) 
As 3.13 has been enabled across the board, which one can verify by running `./github/regenerate.sh` and observe that non of the configs have changed

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144696
Approved by: https://github.com/izaitsevfb, https://github.com/atalman
 2025-01-13 19:12:12 +00:00
Xuehai Pan
b6bdb67f82 [BE][Easy] use pathlib.Path instead of dirname / ".." / pardir (#129374) 
Changes by apply order:

1. Replace all `".."` and `os.pardir` usage with `os.path.dirname(...)`.
2. Replace nested `os.path.dirname(os.path.dirname(...))` call with `str(Path(...).parent.parent)`.
3. Reorder `.absolute()` ~/ `.resolve()`~ and `.parent`: always resolve the path first.

    `.parent{...}.absolute()` -> `.absolute().parent{...}`

4. Replace chained `.parent x N` with `.parents[${N - 1}]`: the code is easier to read (see 5.)

    `.parent.parent.parent.parent` -> `.parents[3]`

5. ~Replace `.parents[${N - 1}]` with `.parents[${N} - 1]`: the code is easier to read and does not introduce any runtime overhead.~

    ~`.parents[3]` -> `.parents[4 - 1]`~

6. ~Replace `.parents[2 - 1]` with `.parent.parent`: because the code is shorter and easier to read.~

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129374
Approved by: https://github.com/justinchuby, https://github.com/malfet
 2024-12-29 17:23:13 +00:00
Xuehai Pan
c4bff71854 [Easy] Add ROCm support to nightly pull tool (#141282) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141282
Approved by: https://github.com/malfet
ghstack dependencies: #143263
 2024-12-27 00:07:38 +00:00
PyTorch MergeBot
475656fd9c Revert "[BE][Easy] use pathlib.Path instead of dirname / ".." / pardir (#129374)" 
This reverts commit 2293fe1024.

Reverted https://github.com/pytorch/pytorch/pull/129374 on behalf of https://github.com/malfet due to failing internal ROCM builds with error: ModuleNotFoundError: No module named hipify ([comment](https://github.com/pytorch/pytorch/pull/129374#issuecomment-2562973920))
 2024-12-26 17:32:23 +00:00
Jithun Nair
75e1f8a227 [ROCm] upgrade nightly wheels to rocm6.3 - 2 of 2 (binaries) (#143613) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143613
Approved by: https://github.com/jeffdaily
 2024-12-23 19:47:30 +00:00
Xuehai Pan
2293fe1024 [BE][Easy] use pathlib.Path instead of dirname / ".." / pardir (#129374) 
Changes by apply order:

1. Replace all `".."` and `os.pardir` usage with `os.path.dirname(...)`.
2. Replace nested `os.path.dirname(os.path.dirname(...))` call with `str(Path(...).parent.parent)`.
3. Reorder `.absolute()` ~/ `.resolve()`~ and `.parent`: always resolve the path first.

    `.parent{...}.absolute()` -> `.absolute().parent{...}`

4. Replace chained `.parent x N` with `.parents[${N - 1}]`: the code is easier to read (see 5.)

    `.parent.parent.parent.parent` -> `.parents[3]`

5. ~Replace `.parents[${N - 1}]` with `.parents[${N} - 1]`: the code is easier to read and does not introduce any runtime overhead.~

    ~`.parents[3]` -> `.parents[4 - 1]`~

6. ~Replace `.parents[2 - 1]` with `.parent.parent`: because the code is shorter and easier to read.~

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129374
Approved by: https://github.com/justinchuby, https://github.com/malfet
 2024-12-21 22:08:01 +00:00
atalman
2400db115c Use Manylinux 2.28 for nightly build and cxx11-abi (#143423) 
As per: https://dev-discuss.pytorch.org/t/pytorch-linux-wheels-switching-to-new-wheel-build-platform-manylinux-2-28-on-november-12-2024/2581

Linux Builds: CPU, CUDA 11.8, CUDA 12.4 switched to Manylinux 2.28 and D_GLIBCXX_USE_CXX11_ABI=1 on the week of Dec 16

Pull Request resolved: https://github.com/pytorch/pytorch/pull/143423
Approved by: https://github.com/huydhn, https://github.com/malfet, https://github.com/seemethere
 2024-12-18 02:02:58 +00:00
Ting Lu
f26b75b7ac [aarch64] add CUDA 12.6 sbsa nightly binary (#142335) 
related to #138440

Pull Request resolved: https://github.com/pytorch/pytorch/pull/142335
Approved by: https://github.com/atalman
 2024-12-10 06:19:28 +00:00
Jithun Nair
a1b5067297 Enable py3.13 wheels for ROCm (#142294) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/142294
Approved by: https://github.com/huydhn
 2024-12-10 01:10:24 +00:00
chuanqiw
b64a537993 [CD] xpu nightly manylinux whl with cxx11-abi (#142210) 
Follow https://github.com/pytorch/pytorch/issues/123649
Works for https://github.com/pytorch/pytorch/issues/114850
Pull Request resolved: https://github.com/pytorch/pytorch/pull/142210
Approved by: https://github.com/EikanWang, https://github.com/atalman, https://github.com/malfet
 2024-12-06 15:10:47 +00:00
atalman
c6c45467a3 Use cxx11-abi for Linux CUDA 12.6 builds (#142064) 
Manylinux 2.28 and cxx11-abi migration. Please see: 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/142064
Approved by: https://github.com/kit1980, https://github.com/malfet
 2024-12-05 14:51:50 +00:00