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Fix ResNet18 preprocessing in Captum tutorial #3941

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Fix ResNet18 preprocessing in Captum tutorial #3941

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8 changes: 5 additions & 3 deletions beginner_source/introyt/captumyt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,8 @@
# now.
#

model = models.resnet18(weights='IMAGENET1K_V1')
weights = models.ResNet18_Weights.IMAGENET1K_V1
model = models.resnet18(weights=weights)
model = model.eval()


Expand All @@ -166,9 +167,10 @@
# folder as well.
#

# model expects 224x224 3-color image
# The model's weights resize the shorter side to 256 pixels before
# center-cropping to the expected 224x224 3-color image.
transform = transforms.Compose([
transforms.Resize(224),
transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor()
])
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