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Stub fixes #1726

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merged 9 commits into from
Sep 25, 2023
Merged

Stub fixes #1726

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49e98dc
pass tests/sparseml/pytorch/models/classification/test_inception_v3.py
horheynm Sep 18, 2023
ef99904
pass zoo:cv/classification/vgg-16_bn/pytorch/sparseml/imagenet/base-none
horheynm Sep 18, 2023
4d029c7
pass tests
horheynm Sep 18, 2023
3621e41
Merge branch 'main' into stub-fixes
horheynm Sep 18, 2023
4342abc
track models, deprecated/corrupted
horheynm Sep 18, 2023
b4506c5
Merge branch 'stub-fixes' of github.com:neuralmagic/sparseml into stu…
horheynm Sep 18, 2023
29f55e0
re-sync models from source, and lint
horheynm Sep 19, 2023
44299c1
Merge branch 'main' into stub-fixes
horheynm Sep 21, 2023
a8b4a89
Merge branch 'main' into stub-fixes
horheynm Sep 25, 2023
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2 changes: 1 addition & 1 deletion tests/sparseml/pytorch/models/classification/test_inception_v3.py
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Expand Up @@ -35,7 +35,7 @@
[
("inception_v3", False, True),
("inception_v3", True, False),
("inception_v3", "pruned-conservative", False),
("inception_v3", "pruned-moderate", False),
],
)
def test_inception_v3s(key: str, pretrained: Union[bool, str], test_input: bool):
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1 change: 0 additions & 1 deletion tests/sparseml/pytorch/models/classification/test_mobilenet.py
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Expand Up @@ -36,7 +36,6 @@
("mobilenet", False, True),
("mobilenet", True, False),
("mobilenet", "base", False),
("mobilenet", "pruned-conservative", False),
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("mobilenet", "pruned-moderate", False),
],
)
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14 changes: 6 additions & 8 deletions tests/sparseml/pytorch/models/classification/test_resnet.py
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Expand Up @@ -63,24 +63,22 @@
("resnet50", False, True, resnet50),
("resnet50", True, False, resnet50),
("resnet50", "base", False, resnet50),
("resnet50", "pruned-conservative", False, resnet50),
("resnet50", "pruned-moderate", False, resnet50),
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("resnet50_2xwidth", False, True, resnet50_2xwidth),
("resnet50_2xwidth", True, False, resnet50_2xwidth),
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("resnet50_2xwidth", "base", False, resnet50_2xwidth),
("resnet50_2xwidth", True, False, resnet50_2xwidth), # corr
("resnet50_2xwidth", "base", False, resnet50_2xwidth), # corr
("resnetv2_50", False, True, resnetv2_50),
("resnext50", False, True, resnext50),
("resnet101", False, True, resnet101),
("resnet101", True, False, resnet101),
("resnet101", "base", False, resnet101),
("resnet101_2xwidth", False, True, resnet101_2xwidth),
("resnet101_2xwidth", True, False, resnet101_2xwidth),
("resnet101_2xwidth", "base", False, resnet101_2xwidth),
("resnet101_2xwidth", True, False, resnet101_2xwidth), # cor, resnet_v1-101_2xwidth-imagenet-base
("resnet101_2xwidth", "base", False, resnet101_2xwidth), # cor, resnet_v1-101_2xwidth-imagenet-base
("resnetv2_101", False, True, resnetv2_101),
("resnext101", False, True, resnext101),
("resnet152", False, True, resnet152),
("resnet152", True, False, resnet152),
("resnet152", "base", False, resnet152),
("resnet152", True, False, resnet152), # cor, resnet_v1-152_2xwidth-imagenet-base
("resnet152", "base", False, resnet152), # cor, resnet_v1-101_2xwidth-imagenet-base
("resnetv2_152", False, True, resnetv2_152),
("resnext152", False, True, resnext152),
],
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1 change: 0 additions & 1 deletion tests/sparseml/pytorch/models/classification/test_vgg.py
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Expand Up @@ -54,7 +54,6 @@
("vgg16", False, True, vgg16),
("vgg16", True, False, vgg16),
("vgg16", "base", False, vgg16),
("vgg16", "pruned-conservative", False, vgg16),
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("vgg16", "pruned-moderate", False, vgg16),
("vgg16bn", False, True, vgg16bn),
("vgg16bn", True, False, vgg16bn),
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