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20 Commits

Author SHA1 Message Date
Huy Do
5ad7611b52 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
 2025-10-12 04:53:27 +00:00
Boyuan Feng
90b4e130d6 [Benchmark] cleanup torchbench models (#164816) 
Prune models from TorchInductor dashboard to reduce ci cost. This PR prunes torchbench models according to the [doc](https://docs.google.com/document/d/1nLPNNAU-_M9Clx9FMrJ1ycdPxe-xRA54olPnsFzdpoU/edit?tab=t.0), which removes timm and huggingface models from torchbench.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164816
Approved by: https://github.com/anijain2305, https://github.com/seemethere, https://github.com/huydhn, https://github.com/malfet
 2025-10-09 00:31:25 +00:00
Boyuan Feng
83458197d1 [Benchmark] remove old timm models from benchmark (#164805) 
Prune models from TorchInductor dashboard to reduce ci cost. This PR prunes for timm models according to the [doc](https://docs.google.com/document/d/1nLPNNAU-_M9Clx9FMrJ1ycdPxe-xRA54olPnsFzdpoU/edit?tab=t.0), which reduces from 60 to 14 models.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164805
Approved by: https://github.com/anijain2305, https://github.com/seemethere, https://github.com/huydhn, https://github.com/malfet
 2025-10-08 17:14:58 +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
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
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
angelayi
dad54ca7c0 Add mistral/gpt-oss to benchmarks (#163565) 
Potential issues
* gpt-oss-20b is probably too big (I can't run on my devserver)
* Mistral requires HF authentication
* Mistral also takes a while to run the performance checks (need to wait for CI)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163565
Approved by: https://github.com/huydhn
 2025-09-24 06:12:36 +00:00
angelayi
972140b7e9 [benchmark] Add HF LLM benchmarks (#156967) 
Results in https://docs.google.com/spreadsheets/d/1xXOPg9JjEmPx0zc5QBNdyXQq8-K2_r4ybHaiS-q7pZ0/edit?gid=88695043#gid=88695043

Pull Request resolved: https://github.com/pytorch/pytorch/pull/156967
Approved by: https://github.com/huydhn

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-09-14 07:41:06 +00:00
Animesh Jain
07a4e9fea8 [benchmarks] Skip mobilenetv3_large_100 in CI for accuracy (#161570) 
To keep the CI green - https://github.com/pytorch/pytorch/issues/161419

Its unclear if this is a real failure. And debugging it is non trivial.
Skipping for now to keep the CI greenst

Pull Request resolved: https://github.com/pytorch/pytorch/pull/161570
Approved by: https://github.com/BoyuanFeng, https://github.com/zou3519
 2025-08-27 03:44:04 +00:00
Animesh Jain
01bcf9a40d Bump transformers pin (#159291) 
Trying to update hf pin.

Benchmarking run to figure out issues

<img width="1356" height="123" alt="image" src="https://github.com/user-attachments/assets/fbc435f3-a7cb-4280-9636-2ea6d15d7b6d" />

Retrying - https://github.com/pytorch/pytorch/pull/156118

Pull Request resolved: https://github.com/pytorch/pytorch/pull/159291
Approved by: https://github.com/BoyuanFeng, https://github.com/huydhn

Co-authored-by: Huy Do <huydhn@gmail.com>
 2025-08-12 05:14:17 +00:00
atalman
2068235c0a Add timm_efficientnet to flaky models after cuda 12.6 update in CI/CD (#148788) 
After https://github.com/pytorch/pytorch/pull/148612
This model have become flaky

Tracking this regression in an issue : https://github.com/pytorch/pytorch/issues/148699

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148788
Approved by: https://github.com/izaitsevfb, https://github.com/malfet
 2025-03-10 13:40:41 +00:00
Xuehai Pan
754fb834db [BE][CI] bump ruff to 0.9.0: string quote styles (#144569) 
Reference: https://docs.astral.sh/ruff/formatter/#f-string-formatting

- Change the outer quotes to double quotes for nested f-strings

```diff
- f'{", ".join(args)}'
+ f"{', '.join(args)}"
```

- Change the inner quotes to double quotes for triple f-strings

```diff
  string = """
-     {', '.join(args)}
+     {", ".join(args)}
  """
```

- Join implicitly concatenated strings

```diff
- string = "short string " "short string " f"{var}"
+ string = f"short string short string {var}"
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/144569
Approved by: https://github.com/Skylion007
ghstack dependencies: #146509
 2025-02-24 19:56:09 +00:00
blorange-amd
5fd15a04b7 [ROCm] Enable inductor-periodic testing for MI300 (#144594) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144594
Approved by: https://github.com/malfet, https://github.com/huydhn

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-02-10 17:42:09 +00:00
Tom Ritchford
498a7808ff Fix unused Python variables outside torch/ and test/ (#136359) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136359
Approved by: https://github.com/albanD
 2024-12-11 17:10:23 +00:00
zengxian
d3e932dc10 [CI] Add inductor cpu accuracy test running on AVX2 runners (#128682) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/128682
Approved by: https://github.com/jgong5, https://github.com/desertfire
 2024-07-26 13:24:41 +00:00
Animesh Jain
a676b7c5f3 Add XGLMForCausalLM to the flaky model list (#129776) 
Not failing on devGPU. Went to CI machine ... flaky. So adding to the flaky list.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129776
Approved by: https://github.com/mlazos
ghstack dependencies: #129583, #129610, #129775
 2024-06-29 05:47:28 +00:00
Animesh Jain
9c77332116 [torch.compile][ci] Flaky models in CI (similar to DISABLED_TEST) (#128715) 
These models are really flaky. I went into the CI machine and ran the model many times, sometime it fails, sometimes it passes. Even Pytorch-eager results change from run to run, so the accuracy comparison is fundamentally broken/non-deterministic. I am hitting these issues more frequently in inlining work. There is nothing wrong with inlining, I think these models are on the edge of already-broken accuracy measurement, and inlining is just pushing it in more broken direction.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128715
Approved by: https://github.com/eellison
 2024-06-14 20:17:03 +00:00
Bin Bao
a595a50653 [CI] Use expected accuracy csv files to check benchmark test status (#98839) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/98839
Approved by: https://github.com/ezyang
 2023-04-15 13:54:41 +00:00