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
2025-10-20 21:14:14 +08:00 · 2025-10-12 04:53:27 +00:00
parent 992857e286
commit 5ad7611b52
26 changed files with 32 additions and 26 deletions
--- a/.github/ci_commit_pins/vision.txt
+++ b/.github/ci_commit_pins/vision.txt
@ -1 +1 @@
-966da7e46f65d6d49df3e31214470a4fe5cc8e66
+7a13ad0f89167089616b51f4fd07f978cf1f17e4
--- a/benchmarks/dynamo/check_accuracy.py
+++ b/benchmarks/dynamo/check_accuracy.py
@ -15,6 +15,8 @@ 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",
 }


@ -61,6 +63,10 @@ def check_accuracy(actual_csv, expected_csv, expected_filename):
                "swsl_resnext101_32x16d",
                "torchrec_dlrm",
                "vgg16",
+                "BERT_pytorch",
+                "coat_lite_mini",
+                "mobilenet_v3_large",
+                "vision_maskrcnn",
                # LLM
                "meta-llama/Llama-3.2-1B",
                "google/gemma-2-2b",
--- a/benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/aot_eager_torchbench_training.csv
@ -206,7 +206,7 @@ vgg16,pass,6



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40



--- a/benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_amp_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_amp_freezing_torchbench_inference.csv
@ -130,7 +130,7 @@ maml_omniglot,pass,0



-microbench_unbacked_tolist_sum,pass,1
+microbench_unbacked_tolist_sum,pass,0



--- a/benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/cpu_aot_inductor_freezing_torchbench_inference.csv
@ -130,7 +130,7 @@ maml_omniglot,pass,0



-microbench_unbacked_tolist_sum,pass,1
+microbench_unbacked_tolist_sum,pass,0



--- a/benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_amp_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_amp_freezing_torchbench_inference.csv
@ -254,7 +254,7 @@ vgg16,pass,0



-vision_maskrcnn,fail_accuracy,29
+vision_maskrcnn,fail_accuracy,30



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_aot_eager_torchbench_training.csv
@ -202,7 +202,7 @@ vgg16,pass,6



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_amp_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_amp_freezing_torchbench_inference.csv
@ -114,7 +114,7 @@ maml_omniglot,pass,0



-microbench_unbacked_tolist_sum,pass,1
+microbench_unbacked_tolist_sum,pass,0



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_aot_inductor_freezing_torchbench_inference.csv
@ -114,7 +114,7 @@ maml_omniglot,pass,0



-microbench_unbacked_tolist_sum,pass,1
+microbench_unbacked_tolist_sum,pass,0



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_max_autotune_inductor_amp_freezing_torchbench_inference.csv
@ -242,7 +242,7 @@ stable_diffusion_unet,pass_due_to_skip,0



-torch_multimodal_clip,pass,3
+torch_multimodal_clip,pass,0



@ -254,7 +254,7 @@ vgg16,pass,0



-vision_maskrcnn,fail_accuracy,29
+vision_maskrcnn,fail_accuracy,30



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,18



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv
@ -202,7 +202,7 @@ vgg16,pass,6



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,37



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/dynamo_eager_torchbench_training.csv
@ -206,7 +206,7 @@ vgg16,pass,6



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40



--- a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,18



--- a/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
@ -206,7 +206,7 @@ vgg16,pass,6



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,37



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,eager_two_runs_differ,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_torchbench_training.csv
@ -206,7 +206,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,eager_two_runs_differ,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_torchbench_training.csv
@ -202,7 +202,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,18



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_torchbench_training.csv
@ -202,7 +202,7 @@ vgg16,pass,0



-vision_maskrcnn,fail_accuracy,39
+vision_maskrcnn,fail_accuracy,37



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_inference.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_inference.csv
@ -290,7 +290,7 @@ vgg16,eager_two_runs_differ,0



-vision_maskrcnn,pass,20
+vision_maskrcnn,pass,21



--- a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_training.csv
+++ b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_torchbench_training.csv
@ -206,7 +206,7 @@ vgg16,pass,0



-vision_maskrcnn,pass,39
+vision_maskrcnn,pass,40