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use kaiming initialization for conv layers #98

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merged 3 commits into from
Feb 15, 2024
Merged

use kaiming initialization for conv layers #98

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c140922
use kaiming initialization for conv layers
pattonw Feb 14, 2024
31978ce
Merge branch 'main' into kaiming-weight-init
rhoadesScholar Feb 15, 2024
f9a58bd
Merge branch 'main' into kaiming-weight-init
rhoadesScholar Feb 15, 2024
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7 changes: 7 additions & 0 deletions dacapo/experiments/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,13 @@ def __init__(
)
self.eval_activation = eval_activation

# UPDATE WEIGHT INITIALIZATION TO USE KAIMING
# TODO: put this somewhere better, there might be
# conv layers that aren't follwed by relus?
for _name, layer in self.named_modules():
if isinstance(layer, torch.nn.modules.conv._ConvNd):
torch.nn.init.kaiming_normal_(layer.weight, nonlinearity="relu")

def forward(self, x):
result = self.chain(x)
if not self.training and self.eval_activation is not None:
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