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Add NaN handling to KumoAnomaly - #1235
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Co-authored-by: Aditi Gautam <adgautam@nvidia.com>
Add optional `attn_residual_norm` and `mlp_residual_norm` modules to `TransformerBlock`, and apply its dropout to the attention output before the residual addition. Build the Kumo-Anomaly `ResidualBlock` on a new `KumoAnomalyTransformerBlock` instead of `torch.nn.TransformerEncoderLayer`.
Co-authored-by: Aditi Gautam <adgautam@nvidia.com>
rusty1s
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RBendias,
akihironitta and
aw471
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October 22, 2026 10:09
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #1235 +/- ##
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Coverage 82.86% 82.86%
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Files 173 173
Lines 11136 11136
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Hits 9228 9228
Misses 1908 1908 ☔ View full report in Codecov by Harness. |
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