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4481 Commits

Author SHA1 Message Date
Catherine Lee
e7ed1a00eb Run inductor-perf-test-nightly-h100 once per day (#164967) 
To reduce inductor costs, though I'm not sure how much this one matters specifically since h100s are reserved

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164967
Approved by: https://github.com/BoyuanFeng
 2025-10-08 20:58:19 +00:00
Nikita Shulga
90c0825e2d [GHF] Allow reverts from pytorch-auto-revert app (#164911) 
This is a bit weird, but author_login is not a unique field, but author_url is.

Explicitly allow https://github.com/apps/pytorch-auto-revert to issue revert commands

Update mocks by running
```
sed -i -e s/8e262b0495bd934d39dda198d4c09144311c5ddd6cca6a227194bd48dbfe7201/47860a8f57a214a426d1150c29893cbc2aa49507f12b731483b1a1254bca3428/ gql_mocks.json
```

Test plan: Run
```python
from trymerge import GitHubPR
pr=GitHubPR("pytorch", "pytorch", 164660)
print(pr.get_last_comment().author_url, pr.get_comment_by_id(3375785595).author_url)
```
that should produce
```
https://github.com/pytorch-auto-revert https://github.com/apps/pytorch-auto-revert
```
Plus added a regression test that checks two particular comments for revert validity

`pytorch-auto-revert` user is my alter ego :)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164911
Approved by: https://github.com/jeanschmidt
 2025-10-08 15:15:45 +00:00
PyTorch MergeBot
1927783aa3 Revert "Reland vision pinned commit hash update (#164492)" 
This reverts commit 6861a270624b44954826688f8dad668eb0154452.

Reverted https://github.com/pytorch/pytorch/pull/164492 on behalf of https://github.com/izaitsevfb due to see autorevert msg above, inductor breakage is legit ([comment](https://github.com/pytorch/pytorch/pull/164492#issuecomment-3379537888))
 2025-10-08 04:38:26 +00:00
Huy Do
6861a27062 Reland vision pinned commit hash update (#164492) 
Redo https://github.com/pytorch/pytorch/pull/154694

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164492
Approved by: https://github.com/yangw-dev
 2025-10-07 22:45:05 +00:00
amdfaa
955f21dc2c [ROCm][CI] Add support for gfx1100 in rocm workflow + test skips (#148355) 
This PR adds infrastructure support for gfx1100 in the rocm workflow. Nodes have been allocated for this effort.
@dnikolaev-amd contributed all the test skips.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148355
Approved by: https://github.com/jeffdaily

Co-authored-by: Dmitry Nikolaev <dmitry.nikolaev@amd.com>
Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-10-07 22:36:25 +00:00
Ivan Zaitsev
68350660ee Increase timeout for nightly macOS performance tests to 300 minutes (#164793) 
the Test step time recently went slightly up.

hopefully this fixes https://github.com/pytorch/alerting-infra/issues/263
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164793
Approved by: https://github.com/seemethere
 2025-10-07 08:44:07 +00:00
amdfaa
1f9614cef8 [ROCm][CI] Change rocm periodic workflow label to linux.rocm.gpu.mi250.4 (#164616) 
Testing done on this PR: https://github.com/pytorch/pytorch/pull/156491

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164616
Approved by: https://github.com/jeffdaily, https://github.com/huydhn
 2025-10-06 15:51:07 +00:00
PyTorch UpdateBot
ea42517e45 [xla hash update] update the pinned xla hash (#164727) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164727
Approved by: https://github.com/pytorchbot
 2025-10-06 11:54:10 +00:00
PyTorch MergeBot
331191ce4b Revert "[BE] Make PyObjectSlot use a global PyInterpreter (#162659)" 
This reverts commit 29cbcbac4215e0d9070a1b7a07ddaec9a36bbd08.

Reverted https://github.com/pytorch/pytorch/pull/162659 on behalf of https://github.com/izaitsevfb due to reverted internally, see [D83214133](https://www.internalfb.com/diff/D83214133) ([comment](https://github.com/pytorch/pytorch/pull/162659#issuecomment-3369348172))
 2025-10-05 21:39:57 +00:00
Jeff Daily
412c6d28ec [ROCm][CI] additional dynamo benchmarks for inductor-periodic (#164279) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164279
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-10-04 00:55:17 +00:00
Catherine Lee
fac6f20ae3 [CI] Add another win shard (#164605) 
Since its timing out 0b4f2b46d9/1

the first shard is disproportionately long because of cpp tests, I'm trying to figure that out but for now we can do this or increase the timeout
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164605
Approved by: https://github.com/seemethere, https://github.com/malfet
 2025-10-03 22:51:09 +00:00
Eli Uriegas
8d53d788fe lint: add .pyi to changed files on .pyi.in changes (#164603) 
We were observing issues where the lint on trunk vs. PRs would be different
due to missing .pyi files. This change adds the .pyi files to the changed files
list when .pyi.in files are changed.

Signed-off-by: Eli Uriegas <eliuriegas@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164603
Approved by: https://github.com/atalman, https://github.com/malfet, https://github.com/Skylion007
 2025-10-03 21:30:54 +00:00
Eli Uriegas
7eb1eb4313 ci: Removing ROCm tests from trunk. (#164585) 
Had a conversation with the AMD team today and I think we are all in
agreement that the current state of queueing for AMD is beyond where
we'd like to be for there to be blocking CI for ROCm.

Moving the representative testing jobs for this into the ciflow/rocm
workflow.

I'd love for these to be back in trunk if we can get to a state where
our queueing metrics are below an hour for ROCm infrastructure.

Dashboards:
* ROCm Queueing (>60mins) ([link](https://hud.pytorch.org/queue_time_analysis?dateRange=30&startDate=2025-09-03T16%3A06%3A45.025Z&endDate=2025-10-03T16%3A06%3A45.025Z&granularity=week&chartType=bar&repos=pytorch%2Fpytorch&category=machine_type&machineTypes=linux.rocm.gpu.2&machineTypes=linux.rocm.gpu.4&machineTypes=linux.rocm.gpu.mi250&machineTypes=linux.rocm.gpu.gfx942.1&machineTypes=linux.rocm.gpu.mi250.4&machineTypes=linux.rocm.gpu.gfx942.4&machineTypes=linux.rocm.gpu.mi355.2&machineTypes=linux.rocm.gpu.gfx942.4.test&machineTypes=linux.rocm.gpu.mi250.1&machineTypes=linux.rocm.gpu.gfx942.1.test&machineTypes=linux.rocm.gpu.gfx90a.1&machineTypes=linux.rocm.gpu.gfx90a.4&items=linux.rocm.gpu.2&items=linux.rocm.gpu.4&items=linux.rocm.gpu.mi250&items=linux.rocm.gpu.gfx942.1&items=linux.rocm.gpu.mi250.4&items=linux.rocm.gpu.gfx942.4&items=linux.rocm.gpu.mi355.2&items=linux.rocm.gpu.gfx942.4.test&items=linux.rocm.gpu.mi250.1&items=linux.rocm.gpu.gfx942.1.test&items=linux.rocm.gpu.gfx90a.1&items=linux.rocm.gpu.gfx90a.4))
* NVIDIA queueing (<5mins) ([link](https://hud.pytorch.org/queue_time_analysis?dateRange=30&startDate=2025-09-03T16%3A05%3A08.000Z&endDate=2025-10-03T16%3A05%3A08.000Z&granularity=week&chartType=bar&repos=pytorch%2Fpytorch&category=machine_type&machineTypes=lf.linux.g4dn.4xlarge.nvidia.gpu&machineTypes=linux.g4dn.12xlarge.nvidia.gpu&machineTypes=linux.g4dn.metal.nvidia.gpu&machineTypes=linux.g5.4xlarge.nvidia.gpu&machineTypes=lf.linux.g4dn.12xlarge.nvidia.gpu&machineTypes=lf.linux.g5.12xlarge.nvidia.gpu&machineTypes=lf.linux.g5.4xlarge.nvidia.gpu&machineTypes=lf.linux.g6.4xlarge.experimental.nvidia.gpu&machineTypes=linux.g6.4xlarge.experimental.nvidia.gpu&machineTypes=linux.4xlarge.nvidia.gpu&machineTypes=linux.g5.12xlarge.nvidia.gpu&machineTypes=linux.g4dn.4xlarge.nvidia.gpu&machineTypes=lf.linux.4xlarge.nvidia.gpu&machineTypes=linux.g6.12xlarge.nvidia.gpu&items=lf.linux.g4dn.4xlarge.nvidia.gpu&items=linux.g4dn.12xlarge.nvidia.gpu&items=linux.g4dn.metal.nvidia.gpu&items=linux.g5.4xlarge.nvidia.gpu&items=lf.linux.g4dn.12xlarge.nvidia.gpu&items=lf.linux.g5.12xlarge.nvidia.gpu&items=lf.linux.g5.4xlarge.nvidia.gpu&items=lf.linux.g6.4xlarge.experimental.nvidia.gpu&items=linux.g6.4xlarge.experimental.nvidia.gpu&items=linux.4xlarge.nvidia.gpu&items=linux.g5.12xlarge.nvidia.gpu&items=linux.g4dn.4xlarge.nvidia.gpu&items=lf.linux.4xlarge.nvidia.gpu&items=linux.g6.12xlarge.nvidia.gpu))

Signed-off-by: Eli Uriegas <eliuriegas@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164585
Approved by: https://github.com/malfet, https://github.com/yangw-dev, https://github.com/atalman, https://github.com/jeffdaily
 2025-10-03 18:19:24 +00:00
PyTorch UpdateBot
aed66248a0 [vllm hash update] update the pinned vllm hash (#164319) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164319
Approved by: https://github.com/pytorchbot

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-10-03 12:30:33 +00:00
jainapurva
ddf8de28c2 Add Rocm to Operator Microbenchmark CI (#164173) 
This pull request adds support for running operator microbenchmarks on ROCm (AMD GPU) environments in the CI workflow. The main changes involve introducing new build and test jobs for ROCm in the `.github/workflows/operator_microbenchmark.yml` file.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164173
Approved by: https://github.com/huydhn
 2025-10-03 07:35:32 +00:00
Yang Wang
95a053284c Fix vllm build issue (#164361) 
Fixes #ISSUE_NUMBER
unstable https://github.com/pytorch/pytorch/issues/164362
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164361
Approved by: https://github.com/huydhn

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-10-02 23:34:21 +00:00
PyTorch MergeBot
0319556a35 Revert "[vision hash update] update the pinned vision hash (#154694)" 
This reverts commit bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228.

Reverted https://github.com/pytorch/pytorch/pull/154694 on behalf of https://github.com/yangw-dev due to break the unittest for inductor with improved, update benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv, see failure example https://github.com/pytorch/pytorch/actions/runs/18185852421/job/51776537817 ([comment](https://github.com/pytorch/pytorch/pull/154694#issuecomment-3362285901))
 2025-10-02 17:32:04 +00:00
PyTorch UpdateBot
bcafea5c92 [vision hash update] update the pinned vision hash (#154694) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vision hash.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/154694
Approved by: https://github.com/pytorchbot

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-10-02 07:02:40 +00:00
jainapurva
1a5d023a5b Add B200 to Operator Microbenchmark CI (#164288) 
Add B200 to operator microbenchmarks nightly run
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164288
Approved by: https://github.com/huydhn
 2025-10-01 23:56:34 +00:00
Wei Wang
773c6762b8 [CD][CUDA13][NCCL] Fix nccl version typo for cu13 (#164383) 
https://pypi.org/project/nvidia-nccl-cu13/#history does not have 2.27.5 but 2.27.7+.
Companion PR: https://github.com/pytorch/pytorch/pull/164352

Fixes a potential binary breakage due to non-existence of referenced NCCL cu13 version.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164383
Approved by: https://github.com/tinglvv, https://github.com/Skylion007, https://github.com/atalman
 2025-10-01 21:32:25 +00:00
Nikita Shulga
f63d16c6a9 Make viable/strict updatable again (#164374) 
To allow viable/strict to move forward, after https://github.com/pytorch/pytorch/pull/164260 was landed

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164374
Approved by: https://github.com/seemethere
 2025-10-01 18:09:07 +00:00
Ivan Zaitsev
1288c6d8bb Enable keep-going for trunk tags (#164307) 
Tags like `trunk/{sha}` are used to re-run signals by [autorevert project](https://github.com/pytorch/test-infra/blob/main/aws/lambda/pytorch-auto-revert/README.md).

We need to have `keep-going` enabled for those reruns, so that they surface all test failures, not just the first one.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164307
Approved by: https://github.com/clee2000
 2025-10-01 17:21:43 +00:00
albanD
2610746375 Revert nccl upgrade back to 2.27.5 (#164352) 
Revert https://github.com/pytorch/pytorch/pull/162351 as it breaks H100
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164352
Approved by: https://github.com/atalman, https://github.com/malfet
 2025-10-01 15:27:40 +00:00
Nikita Shulga
9ddfc59b9b [BE] Delete stale non-ephemeral runners workarounds (#164285) 
As all Win runners are ephemeral, no need to cleanup leftover processes
or uninstall PyTorch at the end of the test
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164285
Approved by: https://github.com/Skylion007
 2025-10-01 03:47:36 +00:00
Nikita Shulga
6d4dfa0878 [CI] Push viable/strict/${time} tags (#164183) 
Every time viable strict is updated
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164183
Approved by: https://github.com/seemethere
 2025-10-01 03:41:10 +00:00
Nikita Shulga
bd0907dc4c [BE][CI] Unify requirments (#163396) 
Both Linux, Windows and MacOS CI workflows should use `.ci/docker/requirements-ci.txt`
TODOS:
 - Investigate why `choco install cmake` is needed to successfully detect MKL
 - Move `psutil` installation from specific scripts into requirements-ci.txt
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163396
Approved by: https://github.com/Skylion007
 2025-10-01 03:28:48 +00:00
Jane Xu
5b1c39f5a1 Add smoke tests to verify that stable ABI FA3 wheel runs w/ newer torch (#163782) 
Passing CI: https://github.com/pytorch/pytorch/actions/runs/18141589975/job/51635340255?pr=163782

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163782
Approved by: https://github.com/huydhn, https://github.com/mikaylagawarecki
 2025-10-01 02:30:38 +00:00
PyTorch UpdateBot
ff715366aa [vllm hash update] update the pinned vllm hash (#164190) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164190
Approved by: https://github.com/pytorchbot
 2025-09-30 22:43:49 +00:00
Nikita Shulga
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
Jeff Daily
906fe7b120 [ROCm][CI] no longer build almalinux image for ROCm 6.3 (#164201) 
Missed during ROCm 7 upgrades.  We only build N and N-1.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164201
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-09-30 16:59:31 +00:00
PyTorch MergeBot
79fcfd49d6 Revert "[CI] Push viable/strict/${time} tags (#164183)" 
This reverts commit 9f27b0c24515d9cf319d9a728d5009bf9ed035cf.

Reverted https://github.com/pytorch/pytorch/pull/164183 on behalf of https://github.com/malfet due to Hmm, didn't work that way ([comment](https://github.com/pytorch/pytorch/pull/164183#issuecomment-3352494098))
 2025-09-30 14:32:46 +00:00
Nikita Shulga
9f27b0c245 [CI] Push viable/strict/${time} tags (#164183) 
Every time viable strict is updated
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164183
Approved by: https://github.com/seemethere
 2025-09-30 04:00:22 +00:00
Jeff Daily
b7419b920d [ROCm][CI] Upgrade ROCm to 7.0 (#163140) 
Upgrade all the ROCm docker image to ROCm 7.0 release version.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163140
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-09-30 02:23:26 +00:00
atalman
cee4e36f9a [BE] remove manylinuxcxx11-abi-builder:cpu-cxx11-abi docker image (#164187) 
I believe this image is not used anywhere anymore.

Test:
```
git grep manylinuxcxx11-abi-builder
git grep manylinuxcxx11
```
Return no results.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164187
Approved by: https://github.com/izaitsevfb, https://github.com/malfet, https://github.com/seemethere
 2025-09-30 00:26:20 +00:00
Klaus Zimmermann
50d418f69f Replace setup.py bdist_wheel with python -m build --wheel (#156712) 
Previously we already replaced most use of `python setup.py develop/install`.

This PR also replaces the use of `setup.py bdist_wheel` with the modern `python -m build --wheel` alternative.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/156712
Approved by: https://github.com/atalman
ghstack dependencies: #156711
 2025-09-29 21:51:32 +00:00
atalman
349c960970 Use linux.g4dn.4xlarge.nvidia.gpu for cuda 12.4 legacy driver tests (#163956) 
Workaround for https://github.com/pytorch/pytorch/issues/163658

Looks like the workflow passes on 12.8 build that use inux.g4dn.4xlarge.nvidia.gpu but its failing on 12.6 builds that use linux.4xlarge.nvidia.gpu: https://github.com/pytorch/pytorch/actions/runs/17953843505/job/51080623612#step:13:470

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163956
Approved by: https://github.com/malfet

Co-authored-by: Mark Saroufim <marksaroufim@meta.com>
 2025-09-29 19:38:17 +00:00
atalman
f090818a40 Rename remaining periodic and xpu workflows py3.9->py3.10 (#164127) 
Fix naming py3.9 should be py 3.10
These jobs where already migrated to 3.10
Please see: https://github.com/pytorch/pytorch/actions/runs/18091356163/job/51472526131#step:16:224

```
Python version:
+ python --version
Python 3.10.18
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164127
Approved by: https://github.com/malfet
 2025-09-29 19:26:21 +00:00
Jean Schmidt
d633bac252 Update issue templates adding a DISABLE AUTOREVERT option (#163858) 
This should be used to disable autorevert functionality if users feels the need to.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163858
Approved by: https://github.com/izaitsevfb
 2025-09-29 13:10:05 +00:00
PyTorch UpdateBot
d81476e211 [xla hash update] update the pinned xla hash (#163494) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned xla hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163494
Approved by: https://github.com/pytorchbot
 2025-09-29 12:31:16 +00:00
PyTorch UpdateBot
d131f213ac [vllm hash update] update the pinned vllm hash (#164092) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164092
Approved by: https://github.com/pytorchbot
 2025-09-29 04:41:06 +00:00
jainapurva
54b38f3b46 Add operator benchmarking run to CI nightly (#162530) 
This PR introduces a new "operator microbenchmark" CI workflow and GitHub Actions for operator microbenchmarks, updating test scripts and job matrices to support new parameters, and broadening the operator benchmark tests to include more data types, larger shapes, and gradient tests. The benchmark configurations now focus more on different cuda hardware and multiple dtypes (bf16, fp16, fp32), for both compile and eager mode.

**Benchmark Configuration and Coverage:**

* Expanded operator benchmark configurations in `addmm_test.py`, `bmm_test.py`, `matmul_test.py`, and `mm_test.py` to benchmark multiple dtypes on CUDA devices, in eager and compile mode, for forward and backward run. The configs with tag "long" for the above mentioned files are being run in CI.
* The CI benchmarking is running on various hardwares: H100, A100.
* The CI job also uploads the microbenchmarking outputs to a [HUD](https://hud.pytorch.org/benchmark/llms?repoName=pytorch%2Fpytorch&benchmarkName=PyTorch+operator+microbenchmark) dashboard.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/162530
Approved by: https://github.com/huydhn

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-09-29 00:46:38 +00:00
PyTorch UpdateBot
1cc9263f52 [vllm hash update] update the pinned vllm hash (#164053) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164053
Approved by: https://github.com/pytorchbot
 2025-09-28 04:35:17 +00:00
Aaron Gokaslan
5504a06e01 [BE]: Update NCCL to 2.28.3 (#162351) 
@eqy New NCCL has some a bunch of bugfixes for features including reducing the number SMs needed by NVLINK collectives as well as some very useful new APIs for SymmetricMemory.  Also allows FP8 support for non-reductive operations on pre-sm90 devices.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/162351
Approved by: https://github.com/ezyang, https://github.com/malfet, https://github.com/atalman
 2025-09-28 01:38:59 +00:00
Wei Wang
96182faf96 [CI][Distributed][CUDA][Symm-Mem] Enable B200 Symm Mem Test (#162988) 
Inspired by https://github.com/pytorch/pytorch/pull/162981 and motivated by https://github.com/pytorch/pytorch/pull/159323 taking a total of 20 hours to finish (and unlikely to make it in short time due to https://github.com/pytorch/pytorch/issues/162178 )

Creating this subtest to get *something distributed* on B200.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/162988
Approved by: https://github.com/malfet
 2025-09-27 05:12:05 +00:00
PyTorch UpdateBot
280e712c13 [vllm hash update] update the pinned vllm hash (#164029) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164029
Approved by: https://github.com/pytorchbot
 2025-09-27 04:34:57 +00:00
Jeff Daily
f1260c9b9a [ROCm][CI/CD] upgrade nightly wheels to ROCm 7.0 (#163937) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163937
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-09-26 21:42:09 +00:00
PyTorch UpdateBot
bbde16fe98 [vllm hash update] update the pinned vllm hash (#163823) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned vllm hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163823
Approved by: https://github.com/pytorchbot
 2025-09-26 04:29:52 +00:00
Jeff Daily
b776e0c71e [ROCm][CI/CD] create ROCm 7.0 magma tarball (#163883) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163883
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-09-26 00:51:17 +00:00
Jane Xu
6a6d838832 Add H100 runner to be recognized in actionlint (#163795) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/163795
Approved by: https://github.com/huydhn, https://github.com/seemethere
 2025-09-25 22:09:11 +00:00
Svetlana Karslioglu
b61bdc7cc4 Fix cpp build (#162774) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/162774
Approved by: https://github.com/malfet, https://github.com/atalman
 2025-09-25 18:21:45 +00:00