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Add weight for mnasnet0_75 and mnasnet1_3 #6019

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Merged
merged 6 commits into from
May 16, 2022
Merged

Add weight for mnasnet0_75 and mnasnet1_3 #6019

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9ead4b0
Add weight for mnasnet0_75 and mnasnet1_3
YosuaMichael May 16, 2022
69f083b
Fix missing comma
YosuaMichael May 16, 2022
ba047b1
Add PR url as recipe, and update the metrics
YosuaMichael May 16, 2022
1a434f2
Add weights to legacy handler
YosuaMichael May 16, 2022
decf0e8
Update docs to specify there are weights available
YosuaMichael May 16, 2022
b9ec1d1
Merge branch 'main' into models/add-mnasnet-weights
YosuaMichael May 16, 2022
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48 changes: 38 additions & 10 deletions torchvision/models/mnasnet.py
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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 Expand Up @@ -299,15 +323,17 @@ def mnasnet0_5(*, weights: Optional[MNASNet0_5_Weights] = None, progress: bool =
return _mnasnet(0.5, weights, progress, **kwargs)


@handle_legacy_interface(weights=("pretrained", None))
@handle_legacy_interface(weights=("pretrained", MNASNet0_75_Weights.IMAGENET1K_V1))
def mnasnet0_75(*, weights: Optional[MNASNet0_75_Weights] = None, progress: bool = True, **kwargs: Any) -> MNASNet:
"""MNASNet with depth multiplier of 0.75 from
`MnasNet: Platform-Aware Neural Architecture Search for Mobile
<https://arxiv.org/pdf/1807.11626.pdf>`_ paper.

Args:
weights (:class:`~torchvision.models.MNASNet0_75_Weights`, optional): Currently
no pre-trained weights are available and by default no pre-trained
weights (:class:`~torchvision.models.MNASNet0_75_Weights`, optional): The
pretrained weights to use. See
:class:`~torchvision.models.MNASNet0_75_Weights` below for
more details, and possible values. By default, no pre-trained
weights are used.
progress (bool, optional): If True, displays a progress bar of the
download to stderr. Default is True.
Expand Down Expand Up @@ -351,15 +377,17 @@ def mnasnet1_0(*, weights: Optional[MNASNet1_0_Weights] = None, progress: bool =
return _mnasnet(1.0, weights, progress, **kwargs)


@handle_legacy_interface(weights=("pretrained", None))
@handle_legacy_interface(weights=("pretrained", MNASNet1_3_Weights.IMAGENET1K_V1))
def mnasnet1_3(*, weights: Optional[MNASNet1_3_Weights] = None, progress: bool = True, **kwargs: Any) -> MNASNet:
"""MNASNet with depth multiplier of 1.3 from
`MnasNet: Platform-Aware Neural Architecture Search for Mobile
<https://arxiv.org/pdf/1807.11626.pdf>`_ paper.

Args:
weights (:class:`~torchvision.models.MNASNet1_3_Weights`, optional): Currently
no pre-trained weights are available and by default no pre-trained
weights (:class:`~torchvision.models.MNASNet1_3_Weights`, optional): The
pretrained weights to use. See
:class:`~torchvision.models.MNASNet1_3_Weights` below for
more details, and possible values. By default, no pre-trained
weights are used.
progress (bool, optional): If True, displays a progress bar of the
download to stderr. Default is True.
Expand Down