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Reland vision pinned commit hash update (#164492)

Browse Source 
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
This commit is contained in:
Huy Do
2025-10-07 22:45:05 +00:00
committed by PyTorch MergeBot
parent 955f21dc2c
commit 6861a27062
24 changed files with 32 additions and 26 deletions
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.github/ci_commit_pins/vision.txt vendored
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@ -1 +1 @@
966da7e46f65d6d49df3e31214470a4fe5cc8e66
7a13ad0f89167089616b51f4fd07f978cf1f17e4

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benchmarks/dynamo/check_accuracy.py
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@ -17,6 +17,8 @@ flaky_models = {
"moondream", # discovered in https://github.com/pytorch/pytorch/pull/159291
# discovered in https://github.com/pytorch/pytorch/issues/161419. Its not flaky but really hard to repro, so skipping it
"mobilenetv3_large_100",
# https://github.com/pytorch/pytorch/issues/163670
"vision_maskrcnn",
}
@ -78,6 +80,10 @@ def check_accuracy(actual_csv, expected_csv, expected_filename):
"timm_vovnet",
"torchrec_dlrm",
"vgg16",
"BERT_pytorch",
"coat_lite_mini",
"mobilenet_v3_large",
"vision_maskrcnn",
# LLM
"meta-llama/Llama-3.2-1B",
"google/gemma-2-2b",

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benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_inference.csv
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@ -378,7 +378,7 @@ vgg16,pass,0
vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
vision_maskrcnn,pass,40

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benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_amp_freezing_torchbench_inference.csv
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@ -182,7 +182,7 @@ maml_omniglot,pass,0
microbench_unbacked_tolist_sum,pass,1
microbench_unbacked_tolist_sum,pass,0

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benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_freezing_torchbench_inference.csv
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microbench_unbacked_tolist_sum,pass,1
microbench_unbacked_tolist_sum,pass,0

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benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_amp_freezing_torchbench_inference.csv
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vision_maskrcnn,fail_accuracy,29
vision_maskrcnn,fail_accuracy,30

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benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
vision_maskrcnn,pass,40

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benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_amp_freezing_torchbench_inference.csv
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microbench_unbacked_tolist_sum,pass,1
microbench_unbacked_tolist_sum,pass,0

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benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_freezing_torchbench_inference.csv
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@ -166,7 +166,7 @@ maml_omniglot,pass,0
microbench_unbacked_tolist_sum,pass,1
microbench_unbacked_tolist_sum,pass,0

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benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_torchbench_inference.csv
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@ -138,7 +138,7 @@ hf_Bert_large,pass,0
hf_BigBird,pass,25
hf_BigBird,pass,27
@ -158,7 +158,7 @@ hf_Longformer,pass,4
hf_Reformer,pass,8
hf_Reformer,pass,5
@ -334,7 +334,7 @@ timm_vovnet,pass,0
torch_multimodal_clip,pass,3
torch_multimodal_clip,pass,0
@ -346,7 +346,7 @@ vgg16,pass,0
vision_maskrcnn,fail_accuracy,29
vision_maskrcnn,fail_accuracy,30

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benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,18

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benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv
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vision_maskrcnn,pass,39
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benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
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benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
vision_maskrcnn,pass,40

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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,18

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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_training.csv
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vision_maskrcnn,fail_accuracy,39
vision_maskrcnn,fail_accuracy,37

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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_inference.csv
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vision_maskrcnn,pass,20
vision_maskrcnn,pass,21

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benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_training.csv
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vision_maskrcnn,pass,39
vision_maskrcnn,pass,0

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