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1 parent 42ec757 commit a2e8474Copy full SHA for a2e8474
monai/networks/nets/unet.py
@@ -81,8 +81,6 @@ class UNet(nn.Module):
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if a conv layer is directly followed by a batch norm layer, bias should be False.
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adn_ordering: a string representing the ordering of activation (A), normalization (N), and dropout (D).
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Defaults to "NDA". See also: :py:class:`monai.networks.blocks.ADN`.
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- use_checkpointing: if True, apply activation checkpointing to internal sub-blocks during training to reduce memory
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- at the cost of extra compute. Checkpointing is bypassed in eval and when gradients are disabled. Defaults to False.
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Examples::
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