Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Cherry-pick] Fix hashes of efficientnet weights (#8036) #8040

Merged
merged 1 commit into from
Oct 11, 2023
Merged

[Cherry-pick] Fix hashes of efficientnet weights (#8036) #8040

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions torchvision/models/efficientnet.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -439,7 +439,7 @@ def _efficientnet_conf(
class EfficientNet_B0_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/rwightman/pytorch-image-models/
url="https://download.pytorch.org/models/efficientnet_b0_rwightman-3dd342df.pth",
url="https://download.pytorch.org/models/efficientnet_b0_rwightman-7f5810bc.pth",
transforms=partial(
ImageClassification, crop_size=224, resize_size=256, interpolation=InterpolationMode.BICUBIC
),
Expand Down Expand Up @@ -511,7 +511,7 @@ class EfficientNet_B1_Weights(WeightsEnum):
class EfficientNet_B2_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/rwightman/pytorch-image-models/
url="https://download.pytorch.org/models/efficientnet_b2_rwightman-bcdf34b7.pth",
url="https://download.pytorch.org/models/efficientnet_b2_rwightman-c35c1473.pth",
transforms=partial(
ImageClassification, crop_size=288, resize_size=288, interpolation=InterpolationMode.BICUBIC
),
Expand All @@ -535,7 +535,7 @@ class EfficientNet_B2_Weights(WeightsEnum):
class EfficientNet_B3_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/rwightman/pytorch-image-models/
url="https://download.pytorch.org/models/efficientnet_b3_rwightman-cf984f9c.pth",
url="https://download.pytorch.org/models/efficientnet_b3_rwightman-b3899882.pth",
transforms=partial(
ImageClassification, crop_size=300, resize_size=320, interpolation=InterpolationMode.BICUBIC
),
Expand All @@ -559,7 +559,7 @@ class EfficientNet_B3_Weights(WeightsEnum):
class EfficientNet_B4_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/rwightman/pytorch-image-models/
url="https://download.pytorch.org/models/efficientnet_b4_rwightman-7eb33cd5.pth",
url="https://download.pytorch.org/models/efficientnet_b4_rwightman-23ab8bcd.pth",
transforms=partial(
ImageClassification, crop_size=380, resize_size=384, interpolation=InterpolationMode.BICUBIC
),
Expand All @@ -583,7 +583,7 @@ class EfficientNet_B4_Weights(WeightsEnum):
class EfficientNet_B5_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/lukemelas/EfficientNet-PyTorch/
url="https://download.pytorch.org/models/efficientnet_b5_lukemelas-b6417697.pth",
url="https://download.pytorch.org/models/efficientnet_b5_lukemelas-1a07897c.pth",
transforms=partial(
ImageClassification, crop_size=456, resize_size=456, interpolation=InterpolationMode.BICUBIC
),
Expand All @@ -607,7 +607,7 @@ class EfficientNet_B5_Weights(WeightsEnum):
class EfficientNet_B6_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/lukemelas/EfficientNet-PyTorch/
url="https://download.pytorch.org/models/efficientnet_b6_lukemelas-c76e70fd.pth",
url="https://download.pytorch.org/models/efficientnet_b6_lukemelas-24a108a5.pth",
transforms=partial(
ImageClassification, crop_size=528, resize_size=528, interpolation=InterpolationMode.BICUBIC
),
Expand All @@ -631,7 +631,7 @@ class EfficientNet_B6_Weights(WeightsEnum):
class EfficientNet_B7_Weights(WeightsEnum):
IMAGENET1K_V1 = Weights(
# Weights ported from https://github.com/lukemelas/EfficientNet-PyTorch/
url="https://download.pytorch.org/models/efficientnet_b7_lukemelas-dcc49843.pth",
url="https://download.pytorch.org/models/efficientnet_b7_lukemelas-c5b4e57e.pth",
transforms=partial(
ImageClassification, crop_size=600, resize_size=600, interpolation=InterpolationMode.BICUBIC
),
Expand Down