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1555 Fix typo in SegResNet doc-string #1563

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Merged
Nic-Ma merged 4 commits into from
Feb 8, 2021
Merged

1555 Fix typo in SegResNet doc-string #1563

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42a45e0
Merge pull request #19 from Project-MONAI/master
Nic-Ma Feb 1, 2021
754e898
Merge pull request #25 from Project-MONAI/master
Nic-Ma Feb 8, 2021
8f1d1d7
[DLMED] fix typo in the doc-string of SegResNet
Nic-Ma Feb 8, 2021
db6296d
[DLMED] update according to Yiheng's comments
Nic-Ma Feb 8, 2021
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8 changes: 4 additions & 4 deletions monai/networks/nets/segresnet.py
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Expand Up @@ -40,11 +40,11 @@ class SegResNet(nn.Module):
use_conv_final: if add a final convolution block to output. Defaults to ``True``.
blocks_down: number of down sample blocks in each layer. Defaults to ``[1,2,2,4]``.
blocks_up: number of up sample blocks in each layer. Defaults to ``[1,1,1]``.
upsample_mode: [``"transpose"``, ``"nontrainable"``, ``"pixelshuffle"``]
upsample_mode: [``"deconv"``, ``"nontrainable"``, ``"pixelshuffle"``]
The mode of upsampling manipulations.
Using the ``nontrainable`` modes cannot guarantee the model's reproducibility. Defaults to``nontrainable``.

- ``transpose``, uses transposed convolution layers.
- ``deconv``, uses transposed convolution layers.
- ``nontrainable``, uses non-trainable `linear` interpolation.
- ``pixelshuffle``, uses :py:class:`monai.networks.blocks.SubpixelUpsample`.

Expand Down Expand Up @@ -192,11 +192,11 @@ class SegResNetVAE(SegResNet):
use_conv_final: if add a final convolution block to output. Defaults to ``True``.
blocks_down: number of down sample blocks in each layer. Defaults to ``[1,2,2,4]``.
blocks_up: number of up sample blocks in each layer. Defaults to ``[1,1,1]``.
upsample_mode: [``"transpose"``, ``"nontrainable"``, ``"pixelshuffle"``]
upsample_mode: [``"deconv"``, ``"nontrainable"``, ``"pixelshuffle"``]
The mode of upsampling manipulations.
Using the ``nontrainable`` modes cannot guarantee the model's reproducibility. Defaults to `nontrainable`.

- ``transpose``, uses transposed convolution layers.
- ``deconv``, uses transposed convolution layers.
- ``nontrainable``, uses non-trainable `linear` interpolation.
- ``pixelshuffle``, uses :py:class:`monai.networks.blocks.SubpixelUpsample`.

Expand Down