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adding moco to CI (#101098)

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Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101098
Approved by: https://github.com/desertfire
This commit is contained in:
Animesh Jain 2023-05-18 10:01:44 +00:00 committed by PyTorch MergeBot
parent b315c9b5ab
commit 794cc3952e
5 changed files with 4 additions and 3 deletions
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1
benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_dynamic_inference.csv
View file

@ -31,6 +31,7 @@ maml_omniglot,pass,0
mnasnet1_0,pass,0
mobilenet_v2,pass,0
mobilenet_v3_large,pass,0
moco,pass,77
nvidia_deeprecommender,pass,0
opacus_cifar10,pass,45
phlippe_densenet,pass,0

1 name accuracy graph_breaks
31 mnasnet1_0 pass 0
32 mobilenet_v2 pass 0
33 mobilenet_v3_large pass 0
34 moco pass 77
35 nvidia_deeprecommender pass 0
36 opacus_cifar10 pass 45
37 phlippe_densenet pass 0

1
benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_dynamic_training.csv
View file

@ -26,6 +26,7 @@ llama,fail_accuracy,11
maml_omniglot,pass,8
mnasnet1_0,pass,8
mobilenet_v2,pass,8
moco,pass,85
nvidia_deeprecommender,pass,8
phlippe_densenet,pass,8
phlippe_resnet,pass,8

1 name accuracy graph_breaks
26 maml_omniglot pass 8
27 mnasnet1_0 pass 8
28 mobilenet_v2 pass 8
29 moco pass 85
30 nvidia_deeprecommender pass 8
31 phlippe_densenet pass 8
32 phlippe_resnet pass 8

1
benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
View file

@ -33,6 +33,7 @@ maml_omniglot,pass,0
mnasnet1_0,pass,0
mobilenet_v2,pass,0
mobilenet_v3_large,pass,0
moco,pass,77
nanogpt_generate,fail_to_run,0
nvidia_deeprecommender,pass,0
opacus_cifar10,pass,45

1 name accuracy graph_breaks
33 mnasnet1_0 pass 0
34 mobilenet_v2 pass 0
35 mobilenet_v3_large pass 0
36 moco pass 77
37 nanogpt_generate fail_to_run 0
38 nvidia_deeprecommender pass 0
39 opacus_cifar10 pass 45

1
benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
View file

@ -26,6 +26,7 @@ llama,fail_accuracy,11
maml_omniglot,pass,8
mnasnet1_0,pass,8
mobilenet_v2,pass,8
moco,pass,85
nvidia_deeprecommender,pass,8
phlippe_densenet,pass,8
phlippe_resnet,pass,8

1 name accuracy graph_breaks
26 maml_omniglot pass 8
27 mnasnet1_0 pass 8
28 mobilenet_v2 pass 8
29 moco pass 85
30 nvidia_deeprecommender pass 8
31 phlippe_densenet pass 8
32 phlippe_resnet pass 8

3
benchmarks/dynamo/common.py
View file

@ -124,7 +124,6 @@ CI_SKIP[CI("aot_eager", training=False)] = [
"detectron2_maskrcnn_r_101_fpn",
"detectron2_maskrcnn_r_50_c4",
"detectron2_maskrcnn_r_50_fpn",
"moco", # Please convert all Tensors to FakeTensors first
"hf_BigBird", # OOM
"tacotron2", # AssertionError: Deduped args out of bounds
# Huggingface
@ -143,7 +142,6 @@ CI_SKIP[CI("aot_eager", training=True)] = [
"hf_T5_base", # fp64_OOM
"mobilenet_v2_quantized_qat", # fp64_OOM
"resnet50_quantized_qat", # fp64_OOM
"moco",
"pytorch_struct",
"vision_masrkcnn", # AssertionError: nothing in example_inputs had a dim with 4
# Huggingface
@ -185,7 +183,6 @@ CI_SKIP[CI("inductor", training=False)] = [
"hf_GPT2_large", # OOM
"maml", # accuracy
"mobilenet_v2_quantized_qat", # The eval test only supports CPU
"moco", # accuracy
"pytorch_struct", # Test eval is not implemented
"pyhpc_equation_of_state", # Accuracy
"pyhpc_turbulent_kinetic_energy", # Accuracy