We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent feefcaa commit e112457Copy full SHA for e112457
monai/networks/nets/unet.py
@@ -87,7 +87,7 @@ class UNet(nn.Module):
87
if a conv layer is directly followed by a batch norm layer, bias should be False.
88
adn_ordering: a string representing the ordering of activation (A), normalization (N), and dropout (D).
89
Defaults to "NDA". See also: :py:class:`monai.networks.blocks.ADN`.
90
- use_checkpointing: if True, apply activation checkpointing to internal sub-blocks during training to reduce memory
+ use_checkpointing: if True, apply activation checkpointing to internal sub-blocks during training to reduce memory
91
at the cost of extra compute. Checkpointing is bypassed in eval and when gradients are disabled. Defaults to False.
92
93
Examples::
0 commit comments