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Update ShuffleNetV2 annotations for x1_5 and x2_0 variants #6022

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Merged
merged 2 commits into from
May 16, 2022
Merged

Update ShuffleNetV2 annotations for x1_5 and x2_0 variants #6022

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a8fea52
Update ShuffleNetV2 annotations for x1_5 and x2_0 variants
datumbox May 16, 2022
3f1dcf1
Merge branch 'main' into models/shufflenet_values
datumbox May 16, 2022
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4 changes: 2 additions & 2 deletions torchvision/models/shufflenetv2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -316,7 +316,7 @@ def shufflenet_v2_x1_0(
return _shufflenetv2(weights, progress, [4, 8, 4], [24, 116, 232, 464, 1024], **kwargs)


@handle_legacy_interface(weights=("pretrained", None))
@handle_legacy_interface(weights=("pretrained", ShuffleNet_V2_X1_5_Weights.IMAGENET1K_V1))
def shufflenet_v2_x1_5(
*, weights: Optional[ShuffleNet_V2_X1_5_Weights] = None, progress: bool = True, **kwargs: Any
) -> ShuffleNetV2:
Expand Down Expand Up @@ -346,7 +346,7 @@ def shufflenet_v2_x1_5(
return _shufflenetv2(weights, progress, [4, 8, 4], [24, 176, 352, 704, 1024], **kwargs)


@handle_legacy_interface(weights=("pretrained", None))
@handle_legacy_interface(weights=("pretrained", ShuffleNet_V2_X2_0_Weights.IMAGENET1K_V1))
def shufflenet_v2_x2_0(
*, weights: Optional[ShuffleNet_V2_X2_0_Weights] = None, progress: bool = True, **kwargs: Any
) -> ShuffleNetV2:
Expand Down