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32 changes: 28 additions & 4 deletions torchvision/models/mnasnet.py
Original file line number Diff line number Diff line change
Expand Up @@ -235,8 +235,20 @@ class MNASNet0_5_Weights(WeightsEnum):


class MNASNet0_75_Weights(WeightsEnum):
# If a default model is added here the corresponding changes need to be done in mnasnet0_75
pass
IMAGENET1K_V1 = Weights(
url="https://download.pytorch.org/models/mnasnet0_75-7090bc5f.pth",
transforms=partial(ImageClassification, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/pull/6019",
"num_params": 3170208,
"metrics": {
"acc@1": 71.180,
"acc@5": 90.496,
},
},
)
DEFAULT = IMAGENET1K_V1


class MNASNet1_0_Weights(WeightsEnum):
Expand All @@ -256,8 +268,20 @@ class MNASNet1_0_Weights(WeightsEnum):


class MNASNet1_3_Weights(WeightsEnum):
# If a default model is added here the corresponding changes need to be done in mnasnet1_3
pass
IMAGENET1K_V1 = Weights(
url="https://download.pytorch.org/models/mnasnet1_3-a4c69d6f.pth",
transforms=partial(ImageClassification, crop_size=224, resize_size=232),
meta={
**_COMMON_META,
"recipe": "https://github.com/pytorch/vision/pull/6019",
"num_params": 6282256,
"metrics": {
"acc@1": 76.506,
"acc@5": 93.522,
},
},
)
DEFAULT = IMAGENET1K_V1


def _mnasnet(alpha: float, weights: Optional[WeightsEnum], progress: bool, **kwargs: Any) -> MNASNet:
Expand Down