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Merged
ericspod merged 1 commit into from
May 13, 2024
Merged

Tidy up init #7755

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21 changes: 2 additions & 19 deletions monai/networks/nets/patchgan_discriminator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@

from monai.networks.blocks import Convolution
from monai.networks.layers import Act
from monai.networks.utils import normal_init


class MultiScalePatchDiscriminator(nn.Sequential):
Expand Down Expand Up @@ -211,7 +212,7 @@ def __init__(
),
)

self.apply(self.initialise_weights)
self.apply(normal_init)

def forward(self, x: torch.Tensor) -> list[torch.Tensor]:
"""
Expand All @@ -227,21 +228,3 @@ def forward(self, x: torch.Tensor) -> list[torch.Tensor]:
out.append(intermediate_output)

return out[1:]

def initialise_weights(self, m: nn.Module) -> None:
"""
Initialise weights of Convolution and BatchNorm layers.

Args:
m: instance of torch.nn.module (or of class inheriting torch.nn.module)
"""
classname = m.__class__.__name__
if classname.find("Conv2d") != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find("Conv3d") != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find("Conv1d") != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find("BatchNorm") != -1:
nn.init.normal_(m.weight.data, 1.0, 0.02)
nn.init.constant_(m.bias.data, 0)