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Fix nested module example #20923

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2 changes: 1 addition & 1 deletion docs/source-pytorch/advanced/transfer_learning.rst
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ Let's use the `AutoEncoder` as a feature extractor in a separate model.
class CIFAR10Classifier(LightningModule):
def __init__(self):
# init the pretrained LightningModule
self.feature_extractor = AutoEncoder.load_from_checkpoint(PATH)
self.feature_extractor = AutoEncoder.load_from_checkpoint(PATH).encoder
self.feature_extractor.freeze()

# the autoencoder outputs a 100-dim representation and CIFAR-10 has 10 classes
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