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Author SHA1 Message Date
Ting Lu
d0e70c4fd3 windows Magma build for cu128 (#146653) 
https://github.com/pytorch/pytorch/issues/145570

removing `.ci/pytorch/windows/internal/cuda_install.bat` as it is a duplicate with` .github/scripts/windows/cuda_install.bat`. The later one is the one in use - https://github.com/pytorch/pytorch/pull/146653/files#diff-613791f266f2f7b81148ca8f447b0cd6c6544f824f5f46a78a2794006c78957bR8

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146653
Approved by: https://github.com/atalman

Co-authored-by: atalman <atalman@fb.com>
 2025-02-10 13:48:55 +00:00
PyTorch MergeBot
f17109bd96 Revert "windows Magma build for cu128 (#146653)" 
This reverts commit 9e27d36e2b.

Reverted https://github.com/pytorch/pytorch/pull/146653 on behalf of https://github.com/atalman due to Broke nightly builds ([comment](https://github.com/pytorch/pytorch/pull/146653#issuecomment-2643882976))
 2025-02-07 19:37:16 +00:00
Ting Lu
9e27d36e2b windows Magma build for cu128 (#146653) 
https://github.com/pytorch/pytorch/issues/145570

removing `.ci/pytorch/windows/internal/cuda_install.bat` as it is a duplicate with` .github/scripts/windows/cuda_install.bat`. The later one is the one in use - https://github.com/pytorch/pytorch/pull/146653/files#diff-613791f266f2f7b81148ca8f447b0cd6c6544f824f5f46a78a2794006c78957bR8

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146653
Approved by: https://github.com/atalman
 2025-02-07 18:09:30 +00:00
Huy Do
3008368b12 Honor Dr.CI classification results on auto commit hash update (#146337) 
Disable `ignore_flaky_failures` was a safer choice, but it seems that this option doesn't work with the current state of the CI.  For example, https://github.com/pytorch/pytorch/pull/125806 hasn't been merged since May because there would always be a failure in one type or another.  This effectively disables the automate mechanism.

My proposal here is to relax this rule and allows the bot to merge auto commit has update with `@pytorchbot merge` like a regular PR.  Then we will at least have something working.  If this causes issue, we can revert it back and try to longer route of improving CI reliability.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/146337
Approved by: https://github.com/clee2000
 2025-02-06 20:33:38 +00:00
Catherine Lee
97b64f2e5c Fix workflow for closing nonexistent disable issues (#146447) 
The workflow could not update issues because it didn't have permissions, and it looked green because it didn't check return codes.

Tested by running the workflow and seeing that issues did get closed
Fixes https://github.com/pytorch/pytorch/issues/145382
Pull Request resolved: https://github.com/pytorch/pytorch/pull/146447
Approved by: https://github.com/huydhn
 2025-02-05 22:29:05 +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
Aaron Gokaslan
7f65a20884 [BE]: Enable ruff SLOT checks (#146276) 
This enables a check that which a class which only inherits from immutable classes like str, tuple, and NamedTuple, also defined `__slots__` so they don't allocate memory unnecessarily. This also ensure contributors think about how they define their classes with subclass NamedTuples and str, of which we have many in our codebase

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146276
Approved by: https://github.com/aorenste
 2025-02-04 19:18:23 +00:00
Aaron Orenstein
4168982dad PEP585: .github release triggers (#145708) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145708
Approved by: https://github.com/malfet
 2025-02-04 01:02:46 +00:00
PyTorch UpdateBot
a44a8a7d3a [audio hash update] update the pinned audio hash (#145988) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145988
Approved by: https://github.com/pytorchbot
 2025-02-02 04:19:29 +00:00
Huy Do
f38d5b4a74 Update TorchBench commit to main (#145455) 
I'm adding sam2 to TorchBench https://github.com/pytorch/benchmark/issues/2566, so, as part of that, I'm updating PyTorch CI to use latest TorchBench commit.

The corresponding change from TorchBench is https://github.com/pytorch/benchmark/pull/2584

The main thing to call out that the newer transformers added by https://github.com/pytorch/benchmark/pull/2488 is regressing several models. This needs to be investigated further, and I pin the version to unblock this change.

* `hf_Roberta_base` a new model added by https://github.com/pytorch/benchmark/pull/2279, not sure why it fails accuracy on A10G, but it works fine on A100
* `speech_transformer` failures are pre-existing trunk failures, i.e. https://github.com/pytorch/pytorch/actions/runs/13040114684/job/36380989702#step:22:2408

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145455
Approved by: https://github.com/kit1980
 2025-02-01 06:44:26 +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
Aleksei Nikiforov
d0748566b4 s390x ci: ensure CI starts correctly if token pipe is not removed (#145840) 
Mark stop actions as "may fail".
Container is expected to stop on it's own in normal case.

Remove "may fail" mark from token generation steps.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145840
Approved by: https://github.com/huydhn
 2025-01-31 17:46:09 +00:00
Aleksei Nikiforov
eb5a0718c2 S390x nightly builds timeouts (#146041) 
Sometimes build timeouts at the end.
This should be fixed by increased timeout.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/146041
Approved by: https://github.com/huydhn, https://github.com/malfet
 2025-01-31 17:29:11 +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
Michael Lazos
1252c1933d Update to remind users to use torch.compile template (#145960) 
Users have been submitting fuzzer issues without meeting the requirements outline in the torch.compile issue template. This updates the note to remind users to use the torch.compile template for torch.compile bugs.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145960
Approved by: https://github.com/eellison
 2025-01-30 21:34:40 +00:00
Michael Lazos
d14046b58d Update fuzzer guidance to include rng (#145962) 
Add another condition to fuzzer issue guidance.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145962
Approved by: https://github.com/eellison
 2025-01-30 21:33:57 +00:00
PyTorch MergeBot
967cf85f3a Revert "Update mi300 labels to account for multiple clusters. (#145923)" 
This reverts commit 3e135993bd.

Reverted https://github.com/pytorch/pytorch/pull/145923 on behalf of https://github.com/atalman due to reverting back to one cluster ([comment](https://github.com/pytorch/pytorch/pull/145923#issuecomment-2625022826))
 2025-01-30 16:45:50 +00:00
Benjamin Glass
933b6d9830 cpp_wrapper: enable in aarch64 and x86 nightly dashboard performance runs (#145791) 
Adds `cpp_wrapper` mode to the nightly inductor benchmark runs, as well as optionally for manually triggered runs. This is justified by `aot_inductor` already being in those runs.

Additionally, re-enables `aot_inductor` in the nightly aarch64 runs. It was disabled 5 months ago to deal with a performance instability, which has likely gone away at this point.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145791
Approved by: https://github.com/desertfire
 2025-01-30 02:55:45 +00:00
Yang Wang
a9ed7bd78e [utilization] pipeline to create clean db records (#145327) 
upload_utilization_script to generate db-ready-insert records to s3
- generate two files: metadata and timeseries in ossci-utilization buckets
- convert log record to db format ones
- add unit test job for tools/stats/

Related Prs:
setup composite action for data pipeline: https://github.com/pytorch/pytorch/pull/145310
add permission for composite action to access S3 bucket: https://github.com/pytorch-labs/pytorch-gha-infra/pull/595
add insert logic in s3 replicator: https://github.com/pytorch/test-infra/pull/6217
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145327
Approved by: https://github.com/huydhn

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-01-29 23:48:50 +00:00
bglass@quansight.com
40ccb7a86d cpp_wrapper: Move #includes to per-device header files (#145932) 
Summary:
This prepares us for the next PR in the stack, where we introduce pre-compiled per-device header files to save compilation time.

Reland https://github.com/pytorch/pytorch/pull/143909 after merge conflicts.

Co-authored-by: Benjamin Glass <[bglass@quansight.com](mailto:bglass@quansight.com)>

Differential Revision: D68656960

Pulled By: benjaminglass1

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145932
Approved by: https://github.com/yushangdi, https://github.com/benjaminglass1

Co-authored-by: bglass@quansight.com <bglass@quansight.com>
 2025-01-29 21:08:45 +00:00
saienduri
3e135993bd Update mi300 labels to account for multiple clusters. (#145923) 
We now have multiple Kubernetes clusters of mi300x resources, and this commit updates labels accordingly to target both clusters evenly.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145923
Approved by: https://github.com/jeffdaily
 2025-01-29 16:56:43 +00:00
Ting Lu
354fe48db9 Add magma cuda build 12.8 (#145765) 
https://github.com/pytorch/pytorch/issues/145570

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145765
Approved by: https://github.com/malfet
 2025-01-29 08:43:38 +00:00
Ting Lu
f4ca98950e Add CUDA 12.8 libtorch image (#145789) 
https://github.com/pytorch/pytorch/issues/145570

Builds 12.8 libtorch docker/deprecate 12.1 meanwhile

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145789
Approved by: https://github.com/nWEIdia, https://github.com/atalman
 2025-01-29 02:59:37 +00:00
albanD
02dd7a7803 Extend abi-stable nitpick message to all the c stable files (#145862) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145862
Approved by: https://github.com/ezyang
 2025-01-28 23:22:23 +00:00
Wei Wang
6bcb545d9c [CI][CUDA][cuSPARSELt] cusparselt 0.6.3 and cu121 related cleanups (#145793) 
Make ci cusparselt installation be consistent with nightly binary
Remove cu121 related docker build jobs and inductor runs Update test failures relating to cu121

Retry of https://github.com/pytorch/pytorch/pull/145696
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145793
Approved by: https://github.com/eqy, https://github.com/tinglvv
 2025-01-28 21:01:58 +00:00
atalman
5382ab57d7 Move trunk windows builds to CUDA-12.4 (#145844) 
Same as : https://github.com/pytorch/pytorch/pull/130446

That should catch build regressions that were previously only detectable during the nightly builds for 12.4

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145844
Approved by: https://github.com/janeyx99, https://github.com/malfet
 2025-01-28 18:00:51 +00:00
Huy Do
56915b093a Fix environment deployment spam (#145823) 
With https://github.com/pytorch-labs/pytorch-gha-infra/pull/598 in place, the environment can now be removed.

Fixes https://github.com/pytorch/pytorch/issues/145704

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145823
Approved by: https://github.com/clee2000
 2025-01-28 17:46:31 +00:00
Zain Rizvi
097ccd9c39 Move ROCm MI300 jobs to unstable to make CI green (#145790) 
This is a temporary change to reduce intermittent tests failures. Jobs can be moved back once those machines get better runner isolation.

This also sneaks in a small fix to all the rocm job's build step to be run on Linux Foundation runners (the get-label-type dependency).  The inductor-rocm-mi300 workflow already had it, but it was missing in the rocm-mi300 workflow.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145790
Approved by: https://github.com/yangw-dev
 2025-01-28 17:25:15 +00:00
saienduri
7eb51e5464 Ensure GPU isolation for kubernetes pod MI300 runners. (#145829) 
Fixes the reason behind moving the tests to unstable initially. (https://github.com/pytorch/pytorch/pull/145790)
We ensure gpu isolation for each pod within kubernetes by propagating the drivers selected for the pod from the Kubernetes layer up to the docker run in pytorch here.
Now we stick with the GPUs assigned to the pod in the first place and there is no overlap between the test runners.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145829
Approved by: https://github.com/jeffdaily
 2025-01-28 17:20:46 +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
Ting Lu
93dd6bc4d8 Add CUDA 12.8 installation and manylinux-cuda12.8 (#145567) 
Breaking https://github.com/pytorch/pytorch/pull/145557 into two parts.
Need to have manylinux-cuda12.8 in order to build magma.

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

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145567
Approved by: https://github.com/nWEIdia, https://github.com/atalman
 2025-01-27 20:49:07 +00:00
Huy Do
2f8ad8f4b9 Run inductor perf benchmark on ROCm (#145763) 
This requires https://github.com/pytorch/pytorch/pull/144594.  The test run on PT2 dashboard is at https://hud.pytorch.org/benchmark/compilers?dashboard=torchinductor&startTime=Mon%2C%2020%20Jan%202025%2019%3A46%3A14%20GMT&stopTime=Mon%2C%2027%20Jan%202025%2019%3A46%3A14%20GMT&granularity=hour&mode=inference&dtype=bfloat16&deviceName=rocm&lBranch=144594&lCommit=9f5cb037965aa2990b2e4593610bca92526ebb3b&rBranch=144594&rCommit=9f5cb037965aa2990b2e4593610bca92526ebb3b

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145763
Approved by: https://github.com/jeffdaily
 2025-01-27 20:19:03 +00:00
Edward Z. Yang
635b98fa08 Add nitpick warning that aoti_torch/c/shim.h is ABI stable (#145745) 
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145745
Approved by: https://github.com/albanD
 2025-01-27 19:25:37 +00:00
Huy Do
5d01a2874f Increase the number of perf benchmark shards (#145534) 
Per the discussion on https://github.com/pytorch/pytorch/issues/140332#issuecomment-2610805551, this adds 2 more shards for HF, 2 more for TorchBench, and 1 more for TIMM.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145534
Approved by: https://github.com/jeanschmidt
 2025-01-27 16:20:42 +00:00
amdfaa
e57cdb8402 [ROCm] trunk.yml only runs pre-merge via ciflow/trunk label (#145629) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145629
Approved by: https://github.com/jeffdaily
 2025-01-24 18:31:33 +00:00
amdfaa
ce371ab4c6 [ROCm] Create inductor-rocm-mi300 (#145621) 
- Adds an mi300 inductor workflow to main.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145621
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-01-24 17:04:17 +00:00
atalman
5d24a9a274 Advance docker release latest verison to cuda 12.4 (#145566) 
Fixed latest tag in ghcr.io to be cuda 12.4 docker image. Todo, Need to add it to : https://github.com/pytorch/builder/blob/main/CUDA_UPGRADE_GUIDE.MD

Will need to check if we can automate this by introducing cuda_stable variable or something like this.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145566
Approved by: https://github.com/nWEIdia, https://github.com/kit1980, https://github.com/malfet
 2025-01-24 15:27:25 +00:00
Yang Wang
6d4f5f7688 [Utilization][Usage Log] Add data model for record (#145114) 
Add data model for consistency and data model change in the future.

The data model will be used during the post-test-process pipeline
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145114
Approved by: https://github.com/huydhn
 2025-01-23 19:04:41 +00:00
amdfaa
c9e12d6a3b [ROCm] Update rocm.yml and add rocm-mi300.yml (#145398) 
- Added another workflow to run the mi300 jobs post-merge.
- Updated rocm.yml to use mi200s instead of mi300s.
- Required to get an idea of how PRs are landing on our mi200s and mi300s.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145398
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-01-23 00:07:50 +00:00
PyTorch UpdateBot
3917053f63 [audio hash update] update the pinned audio hash (#145328) 
This PR is auto-generated nightly by [this action](https://github.com/pytorch/pytorch/blob/main/.github/workflows/nightly.yml).
Update the pinned audio hash.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145328
Approved by: https://github.com/pytorchbot
 2025-01-22 19:39:03 +00:00
Huy Do
266fd35c58 Fix ExecuTorch, XLA, Triton hash updates (#145314) 
Fix some stale hash updates https://github.com/pytorch/pytorch/pulls/pytorchupdatebot reported by @izaitsevfb

* XLA and ExecuTorch now wait for all jobs in pull instead of hardcoding the job names which are not correct anymore and the bot waits forever there
* Trion commit hash hasn't been updated automatically since 2023 and people have been updating the pin manually with their testings from time to time, so I doubt that it would be an useful thing to keep.

The vision update failures looks more complex though and I would need to take a closer look.  So, I will keep it in another PR
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145314
Approved by: https://github.com/izaitsevfb
 2025-01-21 23:24:21 +00:00
Catherine Lee
7dd9d1f243 Update clickhouse-connect to 0.8.14 (#144915) 
Corresponds to https://github.com/pytorch/test-infra/pull/6177

I only tested the slow test script but I also did testing on the new version with scripts in https://github.com/pytorch/test-infra/pull/6177
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144915
Approved by: https://github.com/huydhn
 2025-01-21 21:43:18 +00:00
Huy Do
eb553ae3cf Fix broken gpt_fast micro benchmark after #144315 (#145235) 
The benchmark is failing with the following error

```
  File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/benchmark.py", line 333, in <module>
    main(output_file=args.output, only_model=args.only)
  File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/benchmark.py", line 308, in main
    lst = func(device)
  File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/benchmark.py", line 66, in run_mlp_layer_norm_gelu
    us_per_iter = benchmarker.benchmark(compiled_mod, (x,)) * 1000
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/runtime/benchmarking.py", line 39, in wrapper
    return fn(self, *args, **kwargs)
TypeError: benchmark() missing 1 required positional argument: 'fn_kwargs'
```

An example error is https://github.com/pytorch/pytorch/actions/runs/12862761823/job/35858912555

I also assign `oncall: pt2` as the owner of this job going forward.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145235
Approved by: https://github.com/nmacchioni
 2025-01-21 17:42:24 +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
225a10febe [CI] Add xpu linux build into pull workflow (#145084) 
To mitigate the XPU build failure risk introduced by non-XPU specific PRs. Refer #144967 & #143803
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145084
Approved by: https://github.com/huydhn, https://github.com/atalman
 2025-01-20 19:31:48 +00:00
Aleksei Nikiforov
53e2408015 Improve cleanup of cancelled jobs on s390x for tests too (#144968) 
Follow up to https://github.com/pytorch/pytorch/pull/144149
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144968
Approved by: https://github.com/huydhn
 2025-01-20 12:56:07 +00:00
atalman
a215e174a1 [BE] Remove conda from scripts and build files Part 2 (#145015) 
Continuation of https://github.com/pytorch/pytorch/pull/144870

Remove conda logic from scripts:

1. Remove conda build from triton build script
2. Remove conda checks from setup.py
3. Remove conda from release scripts
4. Script read_conda_versions.sh is not used (checked via git grep)

Related to: https://github.com/pytorch/pytorch/issues/138506
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145015
Approved by: https://github.com/malfet, https://github.com/Skylion007
 2025-01-17 16:26:24 +00:00
Wang, Eikan
dbed747aae Add Intel GPU specific CMake files to merge rules (#135110) 
As the title.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/135110
Approved by: https://github.com/atalman
 2025-01-17 09:44:13 +00:00
Huy Do
cf28d613f1 Allow ROCm runner to upload benchmark results if found (#144710) 
https://github.com/pytorch/pytorch/wiki/How-to-integrate-with-PyTorch-OSS-benchmark-database. This will unblock AMD when they try to run benchmark MI300 benchmarks on CI.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144710
Approved by: https://github.com/kit1980
 2025-01-16 19:31:45 +00:00
Nikita Shulga
ad15436db6 Fix pt2-bug-report.yml formatting (#144987) 
This is a 2nd regression caused by https://github.com/pytorch/pytorch/pull/144574

Test plan: `python3 -c "import yaml; foo=yaml.safe_load(open('pt2-bug-report.yml'));print(foo['body'][0])"`
Before it printed
```
% python3 -c "import yaml; foo=yaml.safe_load(open('pt2-bug-report.yml'));print(foo['body'][0])"
{'type': 'markdown', 'attributes': {'value': ''}}
```
After
```
% python3 -c "import yaml; foo=yaml.safe_load(open('pt2-bug-report.yml'));print(foo['body'][0])"
{'type': 'markdown', 'attributes': {'value': '#### Note: Please write your bug report in English to ensure it can be understood and addressed by the development team.\n'}}
```

Fixes https://github.com/pytorch/pytorch/issues/144970

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144987
Approved by: https://github.com/Skylion007, https://github.com/zou3519
 2025-01-16 18:58:07 +00:00