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
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
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
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
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
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 e0482fdf95eb3ce679fa442b50871d113ceb673b
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
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
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
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
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
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
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
dd6738c1ad
Revert "Use Manylinux2_28 for wheel builds ( #138732 )"
...
This reverts commit 5860c8ebd155bd06666d87811847b73040b55f7b.
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
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
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
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
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
12f4d91e84
Enable Python-3.13 builds on MacOS ( #138037 )
...
All logic changes happen in builder repo, namely:
- a01e87535bbcd0972459https://github.com/pytorch/pytorch/pull/138037
Approved by: https://github.com/huydhn
ghstack dependencies: #138041
2024-10-16 04:24:12 +00:00
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
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
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
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
4559cddaf9
Revert "Add py3.13t linux wheel build ( #137127 )"
...
This reverts commit 6b7adc12140d3073c5700cc1c48998556489857e.
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
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
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
0c661f3e1a
[Split Build] Refactor split build binary builds into their own workflows and move split build binary builds to periodic ( #134624 )
...
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
67208f08bd
[CD] Enable XPU nightly build on Windows ( #134312 )
...
Depends on https://github.com/pytorch/builder/pull/1975 land. Works for https://github.com/pytorch/pytorch/issues/114850
Pull Request resolved: https://github.com/pytorch/pytorch/pull/134312
Approved by: https://github.com/atalman
2024-09-04 14:46:36 +00:00
333890b701
Enable CUDA 12.4.1 ( #132202 )
...
Trying to keep a record of the steps before I lose track of it.
- 1st Commit: Similar to https://github.com/pytorch/builder/pull/1720
- 2nd Commit: Update CUDA 12.4 CI CUDA versions from 12.4.0 to 12.4.1 mapping to changes in https://github.com/pytorch/pytorch/pull/125944/files
- 3rd Commit: update for aarch64 install_cuda_aarch64.sh docker step
- 4th Commit: aaa456e3e6https://github.com/pytorch/pytorch/pull/121684
- Synchronization point: Meta helps uploading pypi cuda dependencies specified in .github/scripts/generate_binary_build_matrix.py
- The above pypi upload is done (thanks Andrey!), restarted jobs like https://github.com/pytorch/pytorch/actions/runs/10188203670/job/28369471321
- 77532344e35f93c625b5https://github.com/pytorch/pytorch/pull/132202
Approved by: https://github.com/Skylion007 , https://github.com/eqy , https://github.com/atalman
2024-08-20 17:52:50 +00:00
6590f4fb0e
[CD] Enable python 3.13 for xpu nightly build ( #133670 )
...
Enable python 3.13 for XPU nightly build, it depends on https://github.com/pytorch/pytorch/pull/133454 land. Also update the xpu nightly wheel test env.
Works for https://github.com/pytorch/pytorch/issues/114850
Fixes #130543
Pull Request resolved: https://github.com/pytorch/pytorch/pull/133670
Approved by: https://github.com/atalman , https://github.com/malfet
2024-08-20 15:05:20 +00:00
3f525c9d5d
Upgrade nightly wheels to rocm6.2 - 2 of 2 (binaries) ( #133238 )
...
Depends on https://github.com/pytorch/pytorch/pull/132875
Pull Request resolved: https://github.com/pytorch/pytorch/pull/133238
Approved by: https://github.com/atalman
2024-08-19 22:35:33 +00:00
18705e371d
S390x nightly binaries for python 3.13 ( #132984 )
...
Enable building python 3.13 nightly binaries for s390x
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132984
Approved by: https://github.com/malfet
2024-08-16 17:07:27 +00:00
095c5ccf9f
[CD] Change XPU nightly build back to ABI=0 ( #132854 )
...
Works for https://github.com/pytorch/pytorch/issues/114850
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132854
Approved by: https://github.com/atalman
2024-08-13 13:46:29 +00:00
914577569d
Remove python 3.8 nightly builds ( #132138 )
...
Removing python 3.8 support in nightly builds. As per PR: https://github.com/pytorch/pytorch/issues/120718
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132138
Approved by: https://github.com/albanD , https://github.com/malfet , https://github.com/huydhn
2024-07-31 01:50:03 +00:00
747b38c131
[BE][Easy][2/19] enforce style for empty lines in import segments in .ci/ and .github/ ( #129753 )
...
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
ca023f77bc
[CD] Add pytorch xpu wheel build in nightly ( #129560 )
...
Add pytorch xpu wheel build in nightly after the xpu build image enabling PR https://github.com/pytorch/builder/pull/1879 merged
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129560
Approved by: https://github.com/atalman
2024-07-11 15:49:04 +00:00
a1590e16df
Add single Python 3.10, single Cuda 12.1 build with dependencies included ( #130349 )
...
Build large wheel for Python 3.10, CUDA 12.1 that will be used in Colab. Build name: ``manywheel-py3_11-cuda12_1-full-build``
We still have all code to support the full build in builder repo, here:
https://github.com/pytorch/builder/blob/main/manywheel/build_cuda.sh#L151
Test:
```
import sys
import torch
sys.version_info
print(torch.__version__)
sys.version_info
2.3.0+cu121
sys.version_info(major=3, minor=10, micro=12, releaselevel='final', serial=0)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/130349
Approved by: https://github.com/malfet
2024-07-10 12:57:39 +00:00
17ca0d0edf
Add linux manywheel python 3.13 binary workflows ( #130030 )
...
Test with passing linux manywheel workflows is here: https://github.com/pytorch/pytorch/pull/121979
Builder PR already merged: https://github.com/pytorch/builder/pull/1910
Pull Request resolved: https://github.com/pytorch/pytorch/pull/130030
Approved by: https://github.com/albanD
2024-07-08 22:50:15 +00:00
6cb0ad3375
[BE]: Update NCCL submodule to 2.21.5 ( #124014 )
...
Update NCCL to the latest version. This release is mostly bugfixes with a few new minor features.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/124014
Approved by: https://github.com/eqy , https://github.com/ezyang , https://github.com/nWEIdia , https://github.com/malfet , https://github.com/atalman
2024-07-02 14:39:33 +00:00
3d96217891
Revert "[BE][Easy] use pathlib.Path instead of dirname / ".." / pardir ( #129374 )"
...
This reverts commit 9e1f3ecaa710785a1ab03c6ad5093a5566d6c5e5.
Reverted https://github.com/pytorch/pytorch/pull/129374 on behalf of https://github.com/huydhn due to Sorry for reverting your change but it is still failing with the same error ([comment](https://github.com/pytorch/pytorch/pull/129374#issuecomment-2197801405 ))
2024-06-29 00:47:15 +00:00
9e1f3ecaa7
[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[${N} - 1]`: the code is easier to read and does not introduce any runtime overhead.~
~`.parents[3]` -> `.parents[4 - 1]`~
6. ~Replace `.parents[2 - 1]` with `.parent.parent`: because the code is shorter and easier to read.~
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129374
Approved by: https://github.com/justinchuby , https://github.com/malfet
2024-06-28 00:35:15 +00:00
895316119d
Revert "[BE][Easy] use pathlib.Path instead of dirname / ".." / pardir ( #129374 )"
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This reverts commit 0314c4c101c44d5d89b4fad9d37a012dc6f31128.
Reverted https://github.com/pytorch/pytorch/pull/129374 on behalf of https://github.com/huydhn due to Sorry for reverting your change but it causes lots of internal build failures where they fail to find hipify module ([comment](https://github.com/pytorch/pytorch/pull/129374#issuecomment-2192437052 ))
2024-06-26 19:03:57 +00:00
0314c4c101
[BE][Easy] use pathlib.Path instead of dirname / ".." / pardir ( #129374 )
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Changes by apply order:
1. Replace all `".."` and `os.pardir` usage with `os.path.dirname(...)`.
2. Replace nested `os.path.dirname(os.path.dirname(...))` call with `str(Path(...).parent.parent)`.
3. Reorder `.absolute()` ~/ `.resolve()`~ and `.parent`: always resolve the path first.
`.parent{...}.absolute()` -> `.absolute().parent{...}`
4. Replace chained `.parent x N` with `.parents[${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
2024-06-25 08:28:38 +00:00
b0044e2e18
[Split Build] Support nightly release ( #129011 )
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This PR adds the split build to our binaries workflow. Validation for the workflow is done using the PR above in conjunction with https://github.com/pytorch/builder/pull/1876 .
Test Workflow: Check CI in the workflow above
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129011
Approved by: https://github.com/atalman
2024-06-22 05:45:14 +00:00
a6ac6447b5
Re-enable py3.12 nightly wheel builds and add triton dependency for ROCm ( #128525 )
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The llnl-hatchet developers have published the py3.12 binaries on [PyPI](https://pypi.org/project/llnl-hatchet/#files ). In fact, looking [here](https://download.pytorch.org/whl/nightly/llnl-hatchet ), it seems we already have the py3.12 wheels mirrored. This should allow us to re-enable py3.12 binaries for ROCm.
This PR reverts commit 9d849d4312cd1e62d97b9e9d58979ec78d36c95f.
It also adds the pytorch-triton-rocm dependency for torch wheels on ROCm since pytorch-triton-rocm py3.12 wheels are available now
Fixes #ISSUE_NUMBER
Pull Request resolved: https://github.com/pytorch/pytorch/pull/128525
Approved by: https://github.com/malfet
2024-06-19 21:56:54 +00:00
de4f8b9946
[BE]: Update cudnn to 9.1.0.70 ( #123475 )
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cuDNN has managed to upload cu11 and cu12 wheels for ~~9.0.0.312~~ 9.1.0.70, so trying this out...
CC @Skylion007 @malfet
Co-authored-by: Wei Wang <weiwan@nvidia.com >
Co-authored-by: atalman <atalman@fb.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123475
Approved by: https://github.com/Skylion007 , https://github.com/malfet , https://github.com/nWEIdia , https://github.com/atalman
2024-06-06 18:45:22 +00:00
9d849d4312
Disable py3.12 nightly wheel builds for ROCm ( #127968 )
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Triton commit bump PR https://github.com/pytorch/pytorch/pull/125396 reverted due to missing llnl-hatchet dependency for triton. Workaround is to disable py3.12 binary build jobs for ROCm on PyTorch CI until llnl-hatchet publishes py3.12 wheels on [PyPI](https://pypi.org/project/llnl-hatchet/#files )
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127968
Approved by: https://github.com/atalman , https://github.com/pruthvistony
2024-06-06 15:17:35 +00:00
9a8ab778d3
Revert "[BE]: Update cudnn to 9.1.0.70 ( #123475 )"
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This reverts commit c490046693e77e254664e19d940e9b05a1da18ef.
Reverted https://github.com/pytorch/pytorch/pull/123475 on behalf of https://github.com/huydhn due to CUDA trunk jobs are pretty red after this change, and the forward fix https://github.com/pytorch/pytorch/pull/127984 does not look working ([comment](https://github.com/pytorch/pytorch/pull/123475#issuecomment-2149258430 ))
2024-06-05 08:59:53 +00:00
c490046693
[BE]: Update cudnn to 9.1.0.70 ( #123475 )
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cuDNN has managed to upload cu11 and cu12 wheels for ~~9.0.0.312~~ 9.1.0.70, so trying this out...
CC @Skylion007 @malfet
Co-authored-by: Wei Wang <weiwan@nvidia.com >
Co-authored-by: atalman <atalman@fb.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/123475
Approved by: https://github.com/Skylion007 , https://github.com/malfet , https://github.com/nWEIdia
2024-06-04 16:33:06 +00:00
1c2e221e25
CUDA 12.4 ARM wheel integration to CD - nightly build ( #126174 )
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rebasing https://github.com/pytorch/pytorch/pull/124112 .
too many conflict files, so starting a new PR.
Test https://github.com/pytorch/builder/pull/1775 (merged) for ARM wheel addition
Test https://github.com/pytorch/builder/pull/1828 (merged) for setting MAX_JOBS
Current issue to follow up:
https://github.com/pytorch/pytorch/issues/126980
Co-authored-by: Aidyn-A <aidyn.b.aitzhan@gmail.com >
Pull Request resolved: https://github.com/pytorch/pytorch/pull/126174
Approved by: https://github.com/nWEIdia , https://github.com/atalman
2024-05-27 05:50:36 +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
