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Author SHA1 Message Date
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
Jithun Nair
9dffd12f90 Upgrade ROCm wheels to manylinux2_28 - 2 of 2 (binaries) (#141423) 
Depends on https://github.com/pytorch/pytorch/pull/140681 and https://github.com/pytorch/pytorch/pull/141609

Highlights:
* Upgrade binaries to ROCm6.2.4 to use latest docker images
* Remove pre-cxx11 builds for libtorch on ROCm
* Use manylinux2_28 docker images for ROCm
* Set `DESIRED_DEVTOOLSET=cxx-abi` (and hence `_GLIBCXX_USE_CXX11_ABI=1`) for ROCm manylinux2_28 wheels (ROCm RHEL8 packages also have GCC_ABI=1, so it keeps it consistent)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/141423
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
Co-authored-by: Pruthvi Madugundu <pruthvigithub@gmail.com>
 2024-12-04 07:00:25 +00:00
Ting Lu
e5f5283ab2 Fix cuda arch full version for 12.6 (#141976) 
follow up for https://github.com/pytorch/pytorch/pull/141433/files
build still showing up as 12.6.2 in the name, see latest https://github.com/pytorch/pytorch/actions/runs/12134985224/job/33833276884.

related to https://github.com/pytorch/pytorch/issues/138440

Pull Request resolved: https://github.com/pytorch/pytorch/pull/141976
Approved by: https://github.com/atalman, https://github.com/nWEIdia, https://github.com/Skylion007
 2024-12-03 20:33:01 +00:00
atalman
0f3f801fc2 Add windows CUDA 12.6 nightly builds (#141805) 
Windows AMI was published to prod. This PR adds CUDA 12.6 nightly builds

Pull Request resolved: https://github.com/pytorch/pytorch/pull/141805
Approved by: https://github.com/huydhn, https://github.com/Skylion007
 2024-11-30 14:39:47 +00:00
chuanqiw
a23ac6f8bd [CD] Enable pypi dependencies both for XPU linux and Windows whls (#141135) 
Enable xpu runtime pypi packages as dependencies of XPU CD wheels both for Linux and Windows.
Fixes https://github.com/pytorch/pytorch/issues/135867
Works for https://github.com/pytorch/pytorch/issues/139722 and https://github.com/pytorch/pytorch/issues/114850
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141135
Approved by: https://github.com/atalman
 2024-11-29 21:35:07 +00:00
Aaron Gokaslan
7224cd4471 [BE]: Update 12.6 builds to CUDA 12.6.3 (#141433) 
Update CUDA 12.6 to Update 3 and make cusparse-lt 0.6.3? #141365 Was going to leave some comments on #141365, but though it was just faster to open a PR here.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141433
Approved by: https://github.com/atalman
 2024-11-28 22:01:47 +00:00
atalman
893a4390c9 Use cuda 12.6 wheels with Manylinux 2.28. Use Manylinux2014 for CPU, CUDA11.8, CUDA12.4 (#141565) 
For release 2.6 we will be using only CUDA 12.6 binaries on Manylinux 2.28.
Issue: https://github.com/pytorch/pytorch/issues/123649
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141565
Approved by: https://github.com/Skylion007, https://github.com/huydhn, https://github.com/malfet
 2024-11-26 19:36:42 +00:00
Xuehai Pan
2a6eaa2e6f Refactor nightly pull tool to use venv and pip (#141281) 
Resolves #141238

- #141238

Example output:

```console
$ python3.12 tools/nightly.py checkout -b my-nightly-branch -p my-env --python python3.10
log file: /Users/PanXuehai/Projects/pytorch/nightly/log/2024-11-22_04h15m45s_63f8b29e-a845-11ef-bbf9-32c784498a7b/nightly.log
Creating virtual environment
Creating venv (Python 3.10.15): /Users/PanXuehai/Projects/pytorch/my-env
Installing packages
Upgrading package(s) (https://download.pytorch.org/whl/nightly/cpu): pip, setuptools, wheel
Installing packages took 5.576 [s]
Creating virtual environment took 9.505 [s]
Downloading packages
Downloading package(s) (https://download.pytorch.org/whl/nightly/cpu): torch
Downloaded 9 file(s) to /var/folders/sq/7sf73d5s2qnb3w6jjsmhsw3h0000gn/T/pip-download-lty5dvz4:
  - mpmath-1.3.0-py3-none-any.whl
  - torch-2.6.0.dev20241121-cp310-none-macosx_11_0_arm64.whl
  - jinja2-3.1.4-py3-none-any.whl
  - sympy-1.13.1-py3-none-any.whl
  - MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl
  - networkx-3.4.2-py3-none-any.whl
  - fsspec-2024.10.0-py3-none-any.whl
  - filelock-3.16.1-py3-none-any.whl
  - typing_extensions-4.12.2-py3-none-any.whl
Downloading packages took 7.628 [s]
Installing dependencies
Installing packages
Installing package(s) (https://download.pytorch.org/whl/nightly/cpu): numpy, cmake, ninja, packaging, ruff, mypy, pytest, hypothesis, ipython, rich, clang-format, clang-tidy, sphinx, mpmath-1.3.0-py3-none-any.whl, jinja2-3.1.4-py3-none-any.whl, sympy-1.13.1-py3-none-any.whl, MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl, networkx-3.4.2-py3-none-any.whl, fsspec-2024.10.0-py3-none-any.whl, filelock-3.16.1-py3-none-any.whl, typing_extensions-4.12.2-py3-none-any.whl
Installing packages took 42.514 [s]
Installing dependencies took 42.515 [s]
Unpacking wheel file
Unpacking wheel file took 3.223 [s]
Checking out nightly PyTorch
Found released git version ac47a2d9714278889923ddd40e4210d242d8d4ee
Found nightly release version e0482fdf95
Switched to a new branch 'my-nightly-branch'
Checking out nightly PyTorch took 0.198 [s]
Moving nightly files into repo
Linking /var/folders/sq/7sf73d5s2qnb3w6jjsmhsw3h0000gn/T/wheel-dljxil5i/torch-2.6.0.dev20241121/torch/_C.cpython-310-darwin.so -> /Users/PanXuehai/Projects/pytorch/torch/_C.cpython-310-darwin.so
Linking /var/folders/sq/7sf73d5s2qnb3w6jjsmhsw3h0000gn/T/wheel-dljxil5i/torch-2.6.0.dev20241121/torch/lib/libtorch_python.dylib -> /Users/PanXuehai/Projects/pytorch/torch/lib/libtorch_python.dylib
...
Linking /var/folders/sq/7sf73d5s2qnb3w6jjsmhsw3h0000gn/T/wheel-dljxil5i/torch-2.6.0.dev20241121/torch/include/c10/macros/Macros.h -> /Users/PanXuehai/Projects/pytorch/torch/include/c10/macros/Macros.h
Moving nightly files into repo took 11.426 [s]
Writing pytorch-nightly.pth
Writing pytorch-nightly.pth took 0.036 [s]
-------
PyTorch Development Environment set up!
Please activate to enable this environment:

  $ source /Users/PanXuehai/Projects/pytorch/my-env/bin/activate
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/141281
Approved by: https://github.com/seemethere
 2024-11-22 20:03:55 +00:00
Aaron Gokaslan
765a347d21 [BE]: Update CUDNN for Linux to 9.5.1.17 for 12.6 only (#137978) 
* Significantly faster, better CUDNN Attention especially on Hopper (FA3 implementation?)
* Lots of bugfixes
* Better performance
* More numerically stable / fixed heuristics
* More functionality for SDPA

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137978
Approved by: https://github.com/eqy, https://github.com/drisspg, https://github.com/nWEIdia, https://github.com/atalman, https://github.com/malfet
 2024-11-20 23:11:39 +00:00
atalman
99a03211cb Deprecate conda nightly builds (#141024) 
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
atalman
cec82c3aed Use Manylinux 2.28 for aarch64 CPU workflows (#140743) 
Use https://hub.docker.com/r/pytorch/manylinux2_28_aarch64-builder/tags

Similar to https://github.com/pytorch/pytorch/pull/138732
Pull Request resolved: https://github.com/pytorch/pytorch/pull/140743
Approved by: https://github.com/malfet
 2024-11-15 01:46:29 +00:00
atalman
70acf02116 Use Manylinux2_28 for wheel builds (#138732) 
Fixes https://github.com/pytorch/pytorch/issues/123649
Use Manylinux 2_28 Docker builds for PyTorch Nightly builds

This moves the wheels to a Docker image that uses : ``quay.io/pypa/manylinux_2_28_x86_64`` as a base rather then ``centos:7`` which is EOL on June 30, 2024.

Information:
https://github.com/pypa/manylinux#manylinux_2_28-almalinux-8-based

manylinux_2_28 (AlmaLinux 8 based)
Toolchain: GCC 13
Built wheels are also expected to be compatible with other distros using glibc 2.28 or later, including:
Debian 10+
Ubuntu 18.10+
Fedora 29+
CentOS/RHEL 8+

This migration should enable us to migrate to latest CUDNN version, and land this PR: https://github.com/pytorch/pytorch/pull/137978

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138732
Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/huydhn
 2024-11-14 00:25:47 +00:00
Ting Lu
14bb49fe98 Add CUDA 12.6 Linux Builds to Binaries Matrix (#138899) 
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
atalman
51e8a13d00 CD Enable Python 3.13 on windows (#138095) 
Adding CD windows. Part of: https://github.com/pytorch/pytorch/issues/130249
Builder PR landed with smoke test: https://github.com/pytorch/builder/pull/2035

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138095
Approved by: https://github.com/Skylion007, https://github.com/malfet
 2024-11-12 12:28:10 +00:00
PyTorch MergeBot
dd6738c1ad Revert "Use Manylinux2_28 for wheel builds (#138732)" 
This reverts commit 5860c8ebd1.

Reverted https://github.com/pytorch/pytorch/pull/138732 on behalf of https://github.com/atalman due to Reverting for now will be relanding ([comment](https://github.com/pytorch/pytorch/pull/138732#issuecomment-2460570980))
 2024-11-06 19:12:52 +00:00
atalman
5860c8ebd1 Use Manylinux2_28 for wheel builds (#138732) 
Fixes https://github.com/pytorch/pytorch/issues/123649
Use Manylinux 2_28 Docker builds for PyTorch Nightly builds

This moves the wheels to a Docker image that uses : ``quay.io/pypa/manylinux_2_28_x86_64`` as a base rather then ``centos:7`` which is EOL on June 30, 2024.

Information:
https://github.com/pypa/manylinux#manylinux_2_28-almalinux-8-based

manylinux_2_28 (AlmaLinux 8 based)
Toolchain: GCC 13
Built wheels are also expected to be compatible with other distros using glibc 2.28 or later, including:
Debian 10+
Ubuntu 18.10+
Fedora 29+
CentOS/RHEL 8+

This migration should enable us to migrate to latest CUDNN version, and land this PR: https://github.com/pytorch/pytorch/pull/137978

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138732
Approved by: https://github.com/Skylion007, https://github.com/malfet
 2024-11-05 17:21:24 +00:00
Wei Wang
53f164cae5 [CUDA][CI][cusparselt] Only CUDA 11.8 ships the libcusparseLt.so.0, CUDA 12 would use PYPI libcusparselt (#138547) 
since nvidia-cusparselt-cu12 is available and
nvidia-cusparselt-cu11 is not available

Related: #138175
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138547
Approved by: https://github.com/atalman
 2024-11-05 15:12:41 +00:00
atalman
eaf92b2484 [Python 3.13 CD] Enable Aarch64 py3.13 builds (#138629) 
Adding CD aarch64. Part of: https://github.com/pytorch/pytorch/issues/130249

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138629
Approved by: https://github.com/ZainRizvi
 2024-11-05 01:16:37 +00:00
atalman
60081c29ec Use cuda 12.4 pytorch_extra_install_requirements as default (#138458) 
Since cuda 12.4 binaries are default binaries on pypi now. The pytorch_extra_install_requirements need to use 12.4.
This would need to be cherry-picked to release 2.5 branch to avoid injecting these versions into metadata during pypi promotion.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/138458
Approved by: https://github.com/malfet
 2024-10-21 20:16:37 +00:00
Nikita Shulga
12f4d91e84 Enable Python-3.13 builds on MacOS (#138037) 
All logic changes happen in builder repo, namely:
 - a01e87535b
 - bcd0972459
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138037
Approved by: https://github.com/huydhn
ghstack dependencies: #138041
 2024-10-16 04:24:12 +00:00
Nikita Shulga
dd2ae7d0c9 [BE] Use x in [foo, bar] (#138041) 
As shorthand for `x == foo or x == bar`
And `x not in [foo, bar]` as shorthand for `x != foo and x != bar`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/138041
Approved by: https://github.com/huydhn
 2024-10-16 01:57:37 +00:00
Wei Wang
e89fe0bd6e Updating cuda binary build to get cusparselt from PYPI (#137653) 
Fixes #137374
Update 1: such PR require Meta uploading the PYPI package to download.pytorch.org.
See: ERROR: Could not find a version that satisfies the requirement nvidia-cusparselt-cu12==0.6.2; platform_system == "Linux" and platform_machine == "x86_64" (from torch) (from versions: none)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137653
Approved by: https://github.com/eqy, https://github.com/Skylion007, https://github.com/atalman
 2024-10-12 16:40:37 +00:00
Xuehai Pan
267f82b860 [BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132577
Approved by: https://github.com/malfet
 2024-10-11 18:30:26 +00:00
atalman
63bbf712d8 Add py3.13t linux wheel build (#137127) 
Builder PR required: https://github.com/pytorch/builder/pull/2001
Test PR: https://github.com/pytorch/pytorch/pull/136490/

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137127
Approved by: https://github.com/albanD
 2024-10-03 13:13:48 +00:00
PyTorch MergeBot
4559cddaf9 Revert "Add py3.13t linux wheel build (#137127)" 
This reverts commit 6b7adc1214.

Reverted https://github.com/pytorch/pytorch/pull/137127 on behalf of https://github.com/jovianjaison due to Sorry for reverting your changes but 2 jobs are failing ([comment](https://github.com/pytorch/pytorch/pull/137127#issuecomment-2389250791))
 2024-10-02 17:44:42 +00:00
atalman
6b7adc1214 Add py3.13t linux wheel build (#137127) 
Builder PR required: https://github.com/pytorch/builder/pull/2001
Test PR: https://github.com/pytorch/pytorch/pull/136490/

Pull Request resolved: https://github.com/pytorch/pytorch/pull/137127
Approved by: https://github.com/albanD
 2024-10-02 11:59:33 +00:00
atalman
a3d827a28c Use python 3.11 for Large Wheel build (#136042) 
Use Python 3.11 in nightly Large wheel builds. Required for Colab testing

Pull Request resolved: https://github.com/pytorch/pytorch/pull/136042
Approved by: https://github.com/kit1980, https://github.com/malfet

Co-authored-by: Sergii Dymchenko <kit1980@gmail.com>
 2024-09-13 20:27:11 +00:00